Xinyi Wei| Robotics and Society | Best Researcher Award

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Xinyi Wei| Robotics and Society | Best Researcher Award

Associate Professor, Renmin University of Chinaļ¼›Putian University, China.

Dr. Xin-Yi Wei is a leading psychologist at Renmin University of China, specializing in the societal impacts of technology on human behavior. With extensive research on smartphone addiction and mental health, she utilizes advanced network analysis and longitudinal studies. Her work contributes significantly to understanding technology’s role in modern psychological issues.

Summary:

Xin-Yi Wei is an accomplished researcher specializing in psychology, with a focus on societal impacts of technology, particularly how robotics and computers influence human behavior. Fluent in both English and Chinese, Wei is recognized for her extensive research on mental health, smartphone addiction, and its psychological and societal effects, often using large-scale qualitative surveys and network analysis methods.

Professional Profiles:

Scopus Profile

šŸŽ“ Education :

Xin-Yi Wei holds a Ph.D. in Psychology from Renmin University of China in Beijing. Her academic journey reflects a deep interest in understanding human behavior, especially in relation to technology and social interactions. This solid educational background forms the foundation of her expertise in behavioral and social science research.

šŸ¢Ā Experience:

Wei has accumulated significant experience in both academic and research roles. She is affiliated with Renmin University of Chinaā€™s Department of Psychology and the School of Nursing at Putian University in China. Throughout her career, she has authored numerous high-impact papers, particularly on the relationship between technology and mental health, positioning her as a key figure in the field of human-computer interaction and behavioral research.

šŸ› ļøSkills:

Dr. Xin-Yi Wei possesses advanced skills in social science research with a strong emphasis on longitudinal studies and network analysis. She is highly proficient in assessing the societal impacts of technology on human behavior and excels in academic communication and presentation. Her expertise includes analyzing complex data sets and interpreting psychological phenomena related to digital technology and mental health.

Research Focus :

Wei’s research primarily focuses on the intersection of technology, society, and human behavior. She has delved into issues such as how societal robotics affect human interactions, the psychological consequences of smartphone addiction, and the social impacts of AI tools like ChatGPT. Her work also investigates social anxiety, mental health, and their connections to problematic technology use, particularly among adolescents.

šŸ”¬Awards:

Although specific awards are not listed in her profile, Xin-Yi Wei’s research has earned her recognition within the academic community, with several publications in top-tier, Q1-ranked journals. Her work continues to shape how society understands the mental and emotional impacts of modern technologies, making her a strong candidate for prestigious research awards.

Conclusion:

Dr. Xin-Yi Weiā€™s distinguished academic record and pioneering research make him an excellent candidate for the “Best Researcher Award.” His work not only advances our understanding of the interaction between technology and human behavior but also offers practical insights into mitigating negative impacts. With his strong research background, significant contributions to high-impact journals, and innovative approach, Dr. Wei is well-positioned to receive this prestigious recognition.

Publications :

Temporal Network of Experience Sampling Methodology Identifies Sleep Disturbance as a Central Symptom in Generalized Anxiety Disorder
Authors: Peng, J., Yuan, S., Wei, Z., Wu, S., Ren, L.
Journal: BMC Psychiatry, 2024, 24(1), 241
Citations: 2 šŸ§ šŸŒ™

Examining Network Structure of Impulsivity and Depression in Adolescents and Young Adults: A Two-Sample Study
Authors: Liu, C., Rotaru, K., Wang, Z., Albertella, L., Ren, L.
Journal: Journal of Affective Disorders, 2024, 362, pp. 54ā€“61
Citations: 0 šŸ§©šŸ˜¢

Is Childhood Emotional Neglect Associated with Problematic Smartphone Use Among Adolescents? The Mediating Role of Rejection Sensitivity and Depressive Symptoms
Authors: Gao, T., Yang, L., Wei, X., Zhang, L., Lei, L.
Journal: Current Psychology, 2024, 43(32), pp. 26477ā€“26489
Citations: 0 šŸ‘¶šŸ“±

Societal Impacts of Chatbot and Mitigation Strategies for Negative Impacts: A Large-Scale Qualitative Survey of ChatGPT Users
Authors: Wei, X., Chu, X., Geng, J., Wang, C., Lei, L.
Journal: Technology in Society, 2024, 77, 102566
Citations: 1 šŸ¤–šŸ’¬

Network Analysis of the Association Between Dark Triad Traits and Depression Symptoms in University Students
Authors: Li, J., Liu, C., Albertella, L., Liu, X., Ren, L.
Journal: Personality and Individual Differences, 2024, 218, 112495
Citations: 0 šŸ˜ˆšŸ“‰

Social Anxiety and Phubbing: The Mediating Role of Problematic Social Networking and the Moderating Role of Family Socioeconomic Status
Authors: Chu, X., Chen, Y., Litifu, A., Wei, X., Lei, L.
Journal: Psychology in the Schools, 2024, 61(2), pp. 553ā€“567
Citations: 3 šŸ˜ŸšŸ“±

Correction to: Does Positive Coping Style Alleviate Anxiety Symptoms After Appearing Problematic Smartphone Use for Generation Z Adolescents? The Mediating Role of State Core Self-Evaluation
Authors: Wei, X., Chu, X., Wang, H., Liu, C., Lei, L.
Journal: Current Psychology, 2024, 43(8), pp. 6796
Citations: 0 āš ļøšŸ§ 

Does Positive Coping Style Alleviate Anxiety Symptoms After Appearing Problematic Smartphone Use for Generation Z Adolescents? The Mediating Role of State Core Self-Evaluation
Authors: Wei, X., Chu, X., Wang, H., Liu, C., Lei, L.
Journal: Current Psychology, 2024, 43(8), pp. 6783ā€“6795
Citations: 1 šŸ˜ŠšŸ“Š

Relationships Among Selfie-Viewing on Social Media, Thin-Ideal Internalization, and Restrained Eating in Adolescents: The Buffering Role of Media Literacy
Authors: Wang, Y., Gu, X., Geng, J., Wei, X., Lei, L.
Journal: Cyberpsychology, 2024, 18(1), 2
Citations: 2 šŸ“øšŸ½ļø

Correction to: Neuroticism and Problematic Smartphone Use Symptom Types: Roles of Anxiety and Alexithymia
Authors: Wei, X.-Y., Jiang, Y.-Z., Zhou, H.-L., Jiang, H.-B.
Journal: Current Psychology, 2023, 42(36), pp. 32616ā€“32617
Citations: 0 āš ļøšŸ“±

Majid Ghayour-Mobarhan| clinical nutrition | Best Researcher Award

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Majid Ghayour-Mobarhan| clinical nutrition | Best Researcher Award

Professor of Clinical Nutrition, Founder of International UNESCO Center for Health Related Basics Sciences and Human Nutrition, Mashhad University of Medical Sciences, Iran.

Dr. Majid Ghayour-Mobarhan is a leading researcher in clinical nutrition and cardiovascular diseases, renowned for his innovative studies and significant contributions to metabolic health. His extensive experience includes leading major cohort studies and applying advanced technologies like artificial intelligence to nutritional research.

Summary:

Majid Ghayour-Mobarhan is a distinguished researcher and professor specializing in clinical nutrition and cardiovascular diseases. With a robust academic background and extensive research experience, he has made significant contributions to understanding and managing metabolic and cardiovascular disorders through innovative approaches and interdisciplinary studies.

Professional Profiles:

Scopus Profile

Orcid

šŸŽ“ Education :

Majid Ghayour-Mobarhan earned his Doctor of Medicine (MD) from Mashhad University of Medical Sciences (MUMS) in Iran, where he was recognized as the top student in scientific and ethical domains. He continued his academic journey with an MSc in Nutritional Medicine and a PhD in Clinical Nutrition from the University of Surrey, UK. His PhD was supported by a scholarship from the Iranian government.

šŸ¢Ā Experience:

Dr. Ghayour-Mobarhan’s professional experience includes roles as a research fellow in Molecular and Metabolic Medicine, an assistant professor and consultant in clinical nutrition at MUMS, and head of several research institutes and centers. His significant positions include director of the Department of Nutrition at MUMS, founding member of multiple research centers, and president of the International UNESCO Center for Health-Related Basic Sciences and Human Nutrition.

šŸ› ļøSkills:

Dr. Majid Ghayour-Mobarhan possesses a diverse and advanced skill set that underscores his expertise in clinical nutrition and cardiovascular research. His skills include:

  • Advanced Research Techniques: Proficient in designing and leading large-scale cohort studies, such as the MASHAD cohort, to investigate cardiovascular risk factors and outcomes.
  • Nutritional Medicine: Expertise in applying nutritional science to disease prevention and management, leveraging both clinical and experimental approaches.
  • Molecular and Biochemical Analysis: Skilled in exploring molecular aspects of cardiovascular diseases, including genetic variations and biomarkers.
  • Artificial Intelligence: Competent in using machine learning and AI for health-related research, including innovative projects like food calorie estimation from images.
  • Leadership and Management: Experienced in leading research institutes and centers, including the International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, and overseeing large-scale research projects.
  • Academic and Professional Excellence: Demonstrates a strong record of academic achievement and recognition, with numerous awards and honors in the field of clinical nutrition and metabolic research.

Research Focus :

  • Dr. Ghayour-Mobarhan’s research focuses on several key areas:
  • Cardiovascular Diseases: Studying genetic, molecular, and biochemical factors related to cardiovascular health.
  • Nutritional Medicine: Exploring the impact of nutrition on health and disease.
  • Cohort Studies: Leading large-scale studies like the MASHAD cohort to evaluate cardiovascular risk factors.
  • Artificial Intelligence: Applying machine learning for health applications, such as food calorie estimation.

šŸ”¬Awards:

  • Dr. Ghayour-Mobarhan has received numerous accolades for his contributions to science and research. These include:
  • The best student presentation prize (2003).
  • Top researcher awards from MUMS (2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2018).
  • Medal of the International Union of Biochemistry and Molecular Biology (2011).
  • Best scientist of the Academy of Medical Sciences of the Islamic Republic of Iran (2024).

Conclusion:

Dr. Ghayour-Mobarhanā€™s extensive research contributions, leadership roles, and numerous accolades make him a strong candidate for theĀ Best Researcher Award. His work has advanced clinical nutrition and cardiovascular health significantly, and his dedication to scientific and ethical excellence is evident throughout his career.

Publications :

Oxidative balance and mental health: Exploring the link between prooxidant-antioxidant balance and depression in hypertensive and normotensive individuals, accounting for sex differences

Authors: Kamrani, F., Kachouei, A.A., Fereydouni, N., Ghayour-Mobarhan, M., Ferns, G.A.

Year: 2024

Citation: 0

Emoji: šŸ§ŖšŸ§ 

Effect of dairy products fortified with vitamin d3 on restless legs syndrome in women with premenstrual syndrome, abdominal obesity and vitamin d deficiency: a pilot study

Authors: Sharifan, P., Sahranavard, T., Rashidmayvan, M., Rezaie, M., Ghayour-Mobarhan, M.

Year: 2024

Citation: 0

Emoji: šŸ„›šŸ’Š

Anxiety, a significant risk factor for coronary artery disease: what is the best index

Authors: Rezaee, M., Darroudi, H., Etemad, L., Darroudi, S., Ferns, G.A.

Year: 2024

Citation: 0

Emoji: šŸ˜ŸšŸ’“

The associations between plant-based dietary indices with depression and quality of life and insomnia among Iranian adolescent girls in 2015

Authors: Vasmehjani, A.A., Darabi, Z., Ghayour-Mobarhan, M., Ferns, G.A., Khayyatzadeh, S.S.

Year: 2024

Citation: 0

Emoji: šŸŒ±šŸ˜“

Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study

Authors: Sahranavard, T., Alimi, R., Arabkhazaei, J., Saffar Soflaei, S., Ghayour Mobarhan, M.

Year: 2024

Citation: 0

Emoji: šŸ“ˆā¤ļø

The associations of oxidative stress and inflammatory markers with obesity in Iranian population: MASHAD cohort study

Authors: Ghazizadeh, H., Mansoori, A., Sahranavard, T., Ferns, G.A., Ghayour-Mobarhan, M.

Year: 2024

Citation: 1

Emoji: šŸ”¬šŸ—‚ļø

Dietary mineral intakes predict Coronavirus-disease 2019 (COVID-19) incidence and hospitalization in older adults

Authors: Seifi, N., Bahari, H., Ghiasi Hafezi, S., Farkhani, E.M., Ghayour-mobarhan, M.

Year: 2024

Citation: 0

Emoji: šŸ¦ šŸ„—

Adherence to the Nordic diet is associated with anxiety, stress, and depression in recovered COVID-19 patients, a case-control study

Authors: Araste, A., Moghadam, M.R.S.F., Mohammadhasani, K., Ferns, G., Ghayour-Mobarhan, M.

Year: 2024

Citation: 0

Emoji: šŸ½ļøšŸ˜“

The association between Lifelines diet score (LLDS) with depression and quality of life in Iranian adolescent girls

Authors: Darabi, Z., Sangouni, A.A., Ghayour-Mobarhan, M., Ferns, G.A., Khayyatzadeh, S.S.

Year: 2024

Citation: 0

Emoji: šŸ“ŠšŸŽ

Micronutrients intake and genetic variants associated with premature ovarian insufficiency; MASHAD cohort study

Authors: Mirinezhad, M.R., Aghsizadeh, M., Ghazizadeh, H., Pasdar, A., Ghayour-Mobarhan, M.

Year: 2024

Citation: 0

Emoji: šŸ§¬šŸ‡

Chengrong Lin | Industrial engineering | Best Paper Award

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Chengrong Lin | Industrial engineering | Best Paper Award

Ph.D. Candidate, Chongqing University, China.

Chengrong Lin is a Ph.D. candidate in Electrical Engineering at Chongqing University, specializing in IoT integration, demand-side management, and cyber-physical power systems. He has published extensively in high-impact journals and contributed to significant research projects on renewable energy and power grid reliability.

Summary:

Chengrong Lin is a Ph.D. candidate in Electrical Engineering at Chongqing University, China, with a strong research focus on the integration of IoT in power and energy systems, advanced demand-side management, and cyber-physical-social power distribution systems. His work involves tackling critical challenges in the power sector, particularly in load frequency control (LFC) and optimizing energy distribution networks. He has published extensively in high-impact journals, showcasing his innovative approach to solving real-world problems in modern power grids.

Professional Profiles:

Scopus Profile

Orcid

Google ScholarĀ 

šŸŽ“ Education :

Chengrong Lin began his academic journey with a Bachelor of Engineering (B.E.) in Electrical Engineering from Fuzhou University, China, where he graduated in July 2020. Following his undergraduate success, he pursued a Ph.D. in Electrical Engineering at Chongqing University, China, under the supervision of Prof. Bo Hu, a prominent researcher and editor of IEEE Transactions on Power Systems. Since September 2020, he has been deeply involved in cutting-edge research as part of his Ph.D. program.

šŸ¢Ā Experience:

During his Ph.D., Chengrong Lin has contributed to several significant research projects, including work on renewable energy-dominated power systems, funded by the National Natural Science Foundation of China (NSFC) and the State Grid Corporation of China (SGCC). His project participation spans areas like cyber contingencies modeling, power grid reliability evaluations, and optimizing control mechanisms for smart grids. Notably, he was involved in the Guangdong Power Grid Corporation‘s reliability evaluation and optimization strategy, where he contributed to project schedule management, data analysis, and system performance evaluations.

šŸ› ļøSkills:

Chengrong Lin possesses a diverse skill set that includes:

  • IoT Integration for Power and Energy Systems
  • Advanced Demand-Side Management for optimizing power distribution
  • Expertise in Cyber-Physical Systems and their application to energy networks
  • Proficiency in Load Frequency Control (LFC) and designing optimal control strategies for power grids
  • Project Management in research environments, including scheduling, data analysis, and report writing
  • Peer-review experience for prestigious journals such as IEEE Transactions on Cybernetics and ISA Transactions

Research Focus :

Chengrong Lin’s research focuses on several pivotal areas within the electrical engineering field. His primary focus is on integrating the Internet of Things (IoT) into power systems to enhance the management and distribution of energy. He also explores demand-side management strategies that can efficiently balance power supply and demand. Another key area of his research is in the development of cyber-physical-social power distribution systems, which aim to create a more robust and secure power infrastructure by linking physical and digital networks. His research aims to address real-time challenges like load frequency control and optimizing energy usage in smart grids.

šŸ”¬Awards:

Throughout his academic career, Chengrong Lin has earned numerous awards in recognition of his outstanding performance and contributions. He has been a recipient of the First Prize Post Graduate Scholarship at Chongqing University in both 2021 and 2022. He also received the First Prize Post Graduate Scholarship for Freshmen upon joining Chongqing University in 2020. During his undergraduate years, he was recognized as an Excellent Graduate Student at Fuzhou University and received the National Encouragement Scholarship twice, in 2017 and 2018. These awards underscore his consistent excellence in research and academics.

Conclusion:

This candidate demonstrates strong potential for a Research for Best Paper Award, with notable strengths in cutting-edge research, high-impact publications, and project experience that addresses critical challenges in power systems. Their work is recognized through prestigious awards and peer-review roles, showcasing their contribution to the field. However, they could enhance their candidacy by broadening the scope of their research, increasing international collaboration, and actively participating in more global conferences

Publications :

šŸ“˜ Title: Delay-dependent optimal load frequency control for sampling systems with demand response
šŸ‘„ Authors: C Lin, B Hu, C Shao, W Li, C Li, K Xie
šŸ“… Year: 2022
šŸ”¢ Citations: 32

šŸ“˜ Title: Event-triggered load frequency control based on age-of-information
šŸ‘„ Authors: C Lin, B Hu, C Shao, Y Ye, HM Tai, K Xie, D Jiao, W Li
šŸ“… Year: 2022
šŸ”¢ Citations: 16

šŸ“˜ Title: An analysis of delay-constrained consensus-based optimal algorithms in virtual power plants
šŸ‘„ Authors: C Lin, B Hu, C Shao, T Niu, Q Cheng, C Li, K Xie
šŸ“… Year: 2022
šŸ”¢ Citations: 9

šŸ“˜ Title: Robust distributed adaptive consensus for discrete-time multiagent systems with uncertain topologies
šŸ‘„ Authors: C Lin, B Hu, W Huang, T Niu
šŸ“… Year: 2021
šŸ”¢ Citations: 9

šŸ“˜ Title: Robust consensus for linear multi-agent systems over randomly switching topologies
šŸ‘„ Authors: C Lin, W Huang, Y Huang, S Chen
šŸ“… Year: 2019
šŸ”¢ Citations: 8

šŸ“˜ Title: Age-of-information-aware PI controller for load frequency control
šŸ‘„ Authors: D Jiao, C Shao, B Hu, K Xie, C Lin, Z Ju
šŸ“… Year: 2023
šŸ”¢ Citations: 3

šŸ“˜ Title: Integrated assessment of the reliability and frequency deviation risks in power systems considering the frequency regulation of DFIG-based wind turbines
šŸ‘„ Authors: Y Zhao, K Xie, C Shao, C Lin, M Shahidehpour, HM Tai, B Hu, X Du
šŸ“… Year: 2023
šŸ”¢ Citations: 3

šŸ“˜ Title: Computation Offloading for Cloud-Edge Collaborative Virtual Power Plant Frequency Regulation Service
šŸ‘„ Authors: C Lin, B Hu, C Shao, K Xie, JCH Peng
šŸ“… Year: 2024
šŸ”¢ Citations: 2

šŸ“˜ Title: Robust distributed adaptive consensus for linear multiagent systems with uncertain topologies
šŸ‘„ Authors: W Huang, C Lin, B Hu, T Niu
šŸ“… Year: 2022
šŸ”¢ Citations: 2

šŸ“˜ Title: Stability analysis of load frequency control based on age-of-information
šŸ‘„ Authors: D Jiao, C Lin, K Xie, B Hu, C Shao, S Gao
šŸ“… Year: 2022
šŸ”¢ Citations: 1

 

JosƩ Roberto Fernandes Galindo | Civil Engineering | Best Researcher Award

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JosƩ Roberto Fernandes Galindo | Civil Engineering | Best Researcher Award

Professor,Universidade Federal do RecƓncavo da Bahia,Brazil.

JosƩ Roberto Fernandes Galindo is an associate professor at the Federal University of RecƓncavo da Bahia, specializing in Geosciences, Geotechnics, and Sustainability in Civil Engineering. His research focuses on Cartography, Geodesy, Soil Mechanics, and sustainable construction practices.

Summary:

JosƩ Roberto Fernandes Galindo is an accomplished academic and researcher with expertise in Geosciences, Geotechnics, and Civil Engineering. Currently an associate professor at the Federal University of RecƓncavo da Bahia (UFRB), he has extensive experience in both teaching and research. His work primarily focuses on areas such as Cartography, Geodesy, Photogrammetry, and Sustainability in Civil Construction. With multiple degrees in engineering and a Ph.D. in Civil Engineering (Geotechnics), he has made significant contributions to improving soil mechanics and promoting sustainable building practices.

Professional Profiles:

Scopus Profile

Orcid

šŸŽ“ Education :

Galindo holds two bachelor’s degrees: one in Surveying Engineering from the Federal University of ViƧosa (2000) and another in Civil Engineering from the University Center of ViƧosa (2020). He earned a masterā€™s degree in Cartographic Sciences from the SĆ£o Paulo State University (Unesp) in 2008, further enhancing his technical proficiency in geospatial sciences. In 2022, he completed his Ph.D. in Civil Engineering at the Federal University of ViƧosa, specializing in Geotechnics, where he focused on soil mechanics and geotechnical solutions.

šŸ¢Ā Experience:

Since October 2022, Galindo has been an associate professor at the Center for Exact and Technological Sciences at UFRB, where he teaches undergraduate courses in Topography and Geodesy. In addition, he coordinates the Geoprocessing Laboratory and serves as a member of various academic commissions, including the Collegiate of the Sanitary and Environmental Engineering program. Prior to this, he worked as a professor at the Instituto Federal Baiano, where he taught disciplines like Photogrammetry and Topography.

šŸ› ļøSkills:

Galindo possesses a robust set of technical and academic skills, including:

Cartography and Geodesy: Expertise in mapping, spatial data analysis, and geodetic surveying.

Photogrammetry: Skilled in aerial and satellite image interpretation.

Soil Mechanics: Deep knowledge of soil behavior, improvement, and stabilization techniques.

Sustainability in Civil Construction: Focus on environmentally sustainable construction practices.

Geoprocessing: Proficiency in managing geospatial information systems and advanced geoprocessing techniques.

Research Focus :

His research interests are centered on Geosciences and Geotechnics, with a particular emphasis on:

Cartography and Geodetic Systems: Quality control in cartographic products and improving geospatial accuracy.

Soil Improvement and Stabilization: Developing new methods for enhancing soil stability in construction projects.

Sustainability in Construction: Investigating ways to make civil engineering practices more environmentally sustainable and resource-efficient.

Geoprocessing and Geographic Information Systems (GIS): Applying advanced GIS technology in urban planning and environmental management.

šŸ”¬Awards:

While no specific awards have been highlighted in the provided data, Galindoā€™s extensive academic and research contributions, along with his leadership roles, suggest potential recognition within his field. His focus on cutting-edge research topics such as soil mechanics and sustainability positions him as a likely candidate for future academic and professional accolades.

Conclusion:

JosƩ Roberto Fernandes Galindo appears to be a strong candidate for the Best Researcher Award based on his broad academic background, interdisciplinary research, leadership in education, and commitment to sustainability in construction. To improve his competitiveness further, expanding his publication record, international collaborations, and continued research in innovative areas would make him an even stronger contender for the award. Given his track record, he is well-suited for recognition as an outstanding researcher in his fields.

Publications :

“Analysis of 3D Reconstruction from a HR-CCD/CBERS-2 Stereoscopic Pair Using Two Mathematical Models”
Author: JRF Galindo
Year: 2008
Citations: 4 šŸ“š

“Proposal for a Positional Accuracy Evaluation Method Based on the Modification of Simple Buffer”
Authors: MM Cunha, GZ Secatto, JRF Galindo, AP dos Santos
Year: 2019
Citations: 3 šŸ“Š

“Characterization and Classification of Typical Soils from RecĆ“ncavo Baiano for Road Purposes”
Author: GAP Malaquias
Year: 2020
Citations: 1 šŸ›£ļø

“Optimization of Mixtures of Soil, Construction and Demolition Waste, and Steel Slag Using the Simplex-Extreme Vertices Method”
Authors: JRF Galindo, HN Pitanga, LG Pedroti, TO da Silva, GH Nalon, …
Year: 2024
Citations: 0 šŸ—ļø

“Stabilization of Tropical Soils with Civil Construction Waste and Steel Slag for Pavement Use”
Author: JRF Galindo
Year: 2022
Citations: 0 šŸŒ

“Mechanical Characterization of Gneiss Weathering Materials from Southeast Brazil”
Authors: LC Marcellino, EAG Marques, JRF Galindo, DS Jaques, MF LeĆ£o, …
Year: 2019
Citations: 0 šŸŖØ

“Geotechnical Characterization of Methadiabase from QuadrilĆ”tero FerrĆ­fero-MG, Brazil”
Authors: LC Marcellino, JRF Galindo, EAG Marques, A ArĆŖdes, MF LeĆ£o, …
Year: 2019
Citations: 0 šŸ”¬

“Soil-Construction Waste Mixture Stabilized with Steel Slag for Pavement Layers”
Authors: JRF Galindo, HN Pitanga, RL Ferraz, LG Pedroti, TO da Silva, EL Ribeiro, …
Year: 2019
Citations: 0 šŸš§

“Applications of Free Geotechnologies in the Adaptation of Rural Properties to Environmental Legislation”
Authors: RV Alexandrino, FT dos Santos Silva, C Augusto, TF Filho, JRF Galindo
Year: 2013
Citations: 0 šŸŒæ

“Determination of Physical Parameters of Compaction Test with Soil-EPS Mixture”
Authors: GF dos Santos, HN Pitanga, TO da Silva, JRF Galindo, KS Rezende
Year: N/A
Citations: 0 šŸ§Ŗ

Natalia Garcia Gonzalez |inflammation | Best Researcher Award

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Ms .Natalia Garcia Gonzalez |inflammation | Best Researcher Award

Ms. Natalia Garcia Gonzalez ,VIB – Ugent, Belgium

Natalia Garcia Gonzalez is a researcher at the VIB-UGent Center for Inflammation Research in Belgium. Her work focuses on advancing our understanding of immunology and inflammation processes, contributing to the development of innovative treatments for various diseases. With a strong academic background and numerous publications in her field, Natalia plays a key role in her research community. She is dedicated to leveraging her expertise to impact global health through cutting-edge scientific discoveries.

Summary:

Ms. Natalia Garcia Gonzalezā€™s qualifications, experience, and international collaborations make her a strong candidate for the Best Researcher Award. Her expertise spans microbiology, biotechnology, and inflammation research, areas that are both timely and important. Her work within the prestigious Marie Curie Early Stage Researcher Program and her current role at the VIB Center for Inflammation Research are clear indicators of her high research potential.

Professional Profiles:

Orcid

šŸŽ“ Education :

I hold a PhD in Science (2017-2020) from the University of Teramo, Italy, funded by the European Commission’s Marie Curie Early Stage Program. My thesis, titled Evaluation of the Health Promoting Activities of Food-borne Lactiplantibacillus plantarum Strains, was conducted under the supervision of Prof. Aldo Corsetti and Dr. Cormac Gahan. Additionally, I completed a postgraduate course in Medical Genetics (2014-2015) at the University of Valencia, Spain, which deepened my understanding of the genetic factors influencing health and disease. I also earned a Masterā€™s Degree in Molecular Biology Applied to Biotechnology Enterprises (2012-2013) from the University of Granada, Spain, where I conducted research on the strain-specific identification of Lactobacillus coryniformis CECT5711 by PCR. My academic journey began with a Bachelorā€™s Degree in Biotechnology (2007-2012) from the University of Salamanca, Spain, which provided a solid foundation in biotechnology, equivalent to an MSc.

šŸ¢Ā Experience:

I am currently a Postdoctoral Researcher in Mouse Genetics and Inflammation (May 2021 ā€“ Present) at the VIB Center for Inflammation Research, University of Gent, Belgium, where I investigate the genetic influences on inflammation-related diseases. Previously, I was a Marie Curie Early Career Stage Researcher (April 2017 ā€“ November 2020) at the University of Teramo, where I focused on food microbiology and biotechnology, particularly the health-promoting properties of food-borne lactic acid bacteria. Prior to that, I worked as a PhD Researcher (January 2015 ā€“ February 2017) at the Agro-technological Institute of Castilla y LeĆ³n, Spain, where my research centered on dairy product innovations and nutritional evaluation. Earlier in my career, I contributed to microbiology and biotechnology research at Biosearch Life s.l., Granada, Spain (May 2013 ā€“ September 2013) and engaged in pharmacological research at the University of Granada, Spain (November 2012 ā€“ June 2013). I also gained laboratory experience as an assistant at Aquimisa Laboratorios, Salamanca, Spain (July 2012 ā€“ September 2012), where I assisted in analytical testing and food safety operations.

šŸ› ļøSkills:

I possess a wide array of skills in microbiology and food biotechnology, as well as expertise in molecular biology techniques, including PCR, DNA extraction, and strain identification. My work in mouse genetics and inflammation research has further honed my abilities in laboratory techniques such as culturing, analytical testing, and bioactive compound analysis. In addition, I have extensive experience in managing research projects and collaborating in international environments, alongside strong data analysis and scientific writing skills.

Research Focus :

My research is primarily focused on the intersection of microbiology, food biotechnology, and genetics. I have extensively studied the health-promoting activities of lactic acid bacteria, particularly Lactiplantibacillus plantarum strains, within food systems. In addition, my work on mouse genetics and inflammation explores the genetic predispositions to inflammatory diseases. Through a combination of applied and fundamental research, I aim to contribute to the development of probiotic food products and to enhance our understanding of genetic factors that influence health and disease.

šŸ”¬Awards:

I was honored with the prestigious Marie Curie Fellowship (2017-2020), a grant awarded by the European Commission to support my PhD studies in food biotechnology.

Conclusion:

Ms. Garcia Gonzalez is a well-rounded and accomplished researcher. While her profile could benefit from more visibility in terms of independent research leadership and publications, her contributions to science, particularly in the fields of food microbiology and mouse genetics, make her a strong contender for the Best Researcher Award. With more evidence of her impact through publications and leadership, she would be an ideal candidate for such recognition.

Publications :

  • Prete, R., Merola, C., Garcia-Gonzalez, N., Perugini, M., Corsetti, A. (2024). Investigating the modulation of the endocannabinoid system by probiotic Lactiplantibacillus plantarum IMC513 in a zebrafish model of di-n-hexyl phthalate exposure. Scientific Reports, 14(1), 19328.

 

  • Cufaro, M. C., Prete, R., Di Marco, F., Del Boccio, P., Battista, N. (2023). A proteomic insight reveals the role of food-associated Lactiplantibacillus plantarum C9O4 in reverting intestinal inflammation. iScience, 26(12), 108481.

 

  • Wallaeys, C., Garcia-Gonzalez, N., Libert, C. (2023). Paneth cells as the cornerstones of intestinal and organismal health: a primer. EMBO Molecular Medicine, 15(2), e16427.

 

  • Goossens, E., Li, J., Callens, C., Ducatelle, R., Van Immerseel, F. (2022). Acute Endotoxemia-Induced Respiratory and Intestinal Dysbiosis. International Journal of Molecular Sciences, 23(19), 11602.

 

  • Garcia-Gonzalez, N., Bottacini, F., van Sinderen, D., Gahan, C. G. M., Corsetti, A. (2022). Comparative Genomics of Lactiplantibacillus plantarum: Insights Into Probiotic Markers in Strains Isolated From the Human Gastrointestinal Tract and Fermented Foods. Frontiers in Microbiology, 13, 854266.

 

  • Garcia-Gonzalez, N., Comas, J. C., Harris, H. M. B., Corsetti, A., Gahan, C. G. M. (2022). Impact of Food Origin Lactiplantibacillus plantarum Strains on the Human Intestinal Microbiota in an in vitro System. Frontiers in Microbiology, 13, 832513.

 

  • Timmermans, S., Verhoog, N. J. D., Van Looveren, K., Louw, A., Libert, C. (2022). Point mutation I634A in the glucocorticoid receptor causes embryonic lethality by reduced ligand binding. Journal of Biological Chemistry, 298(2), 101574.

 

  • NĆŗƱez-SĆ”nchez, M. A., Herisson, F. M., Keane, J. M., Caplice, N. M., Gahan, C. G. M. (2022). Microbial bile salt hydrolase activity influences gene expression profiles and gastrointestinal maturation in infant mice. Gut Microbes, 14(1), 2149023.

 

  • Garcia-Gonzalez, N., Battista, N., Prete, R., Corsetti, A. (2021). Health-promoting role of Lactiplantibacillus plantarum isolated from fermented foods. Microorganisms, 9(2), 349.

 

  • Garcia-Gonzalez, N., NuƱez-Sanchez, M. A., Villoria Recio, M., Gahan, C. G. M., Corsetti, A. (2021). Immunomodulation of J774A.1 Murine Macrophages by Lactiplantibacillus plantarum Strains Isolated From the Human Gastroi

 

SARA ORKHIS |science | Best Paper Award

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Dr .SARA ORKHIS |science | Best Paper Award

Dr. SARA ORKHIS ,National School of Arts and Crafts (ENSAM), Meknes 50500, Morocco, Morocco

Dr. Sara Orkhis is a faculty member at the National School of Arts and Crafts (ENSAM) in Meknes, Morocco. She is known for her contributions in the field of engineering and applied sciences. Based in Meknes, Dr. Orkhis is engaged in academic research and teaching, playing a key role in advancing educational and technological innovations at ENSAM. Her work contributes to the development of skilled professionals in Morocco’s engineering sector.

Summary:

Dr. Sara Orkhis is a highly qualified candidate for the Research for Best Researcher Award. Her educational background, research achievements in sustainable materials, and pedagogical contributions make her a strong contender. Her work in developing and characterizing bio-composites from waste materials aligns with pressing global environmental challenges and reflects a commitment to both academic excellence and practical solutions.

Professional Profiles:

šŸŽ“ Education :

2017-2024: Doctorate in Engineering Science ā€“ Ɖcole Nationale SupĆ©rieure dā€™Arts et MĆ©tiers (E.N.S.A.M), MeknĆØs
Specialization: Materials Engineering and Processes,Graduated with distinction (TrĆØs honorable), this doctorate focused on the development and characterization of bio-based composites and biopolymers. The research encompassed the extraction of biopolymers from agro-food waste and the evaluation of their mechanical and structural properties.,2015-2017: Master of Research in Material Sciences ā€“ Ibn Tofail University, Kenitra
This master’s program provided in-depth knowledge in material sciences, particularly focusing on the development, analysis, and application of new materials.,2011-2014: Bachelorā€™s Degree in Chemistry (Analytical Chemistry) ā€“ Hassan I University, Khouribga
This undergraduate program offered a comprehensive foundation in chemistry, specializing in analytical chemistry.,2010: Baccalaureate in Experimental Sciences (Physical Sciences) ā€“ Ibn Rochd School, Berrechid

šŸ¢Ā Experience:

2018-2019, 2023-2024: Adjunct Professor at E.N.S.A.M, MeknĆØs
Taught courses in General Metallurgy to second-year engineering students and General Chemistry to first-year students. Responsibilities included curriculum development, managing laboratory setups for practical sessions, and maintaining equipment.,2019-2022: Supervision of Engineering Projects,Mentored 4th and 5th-year engineering students on research projects in the field of biopolymers and biocomposites. Topics included the development and characterization of natural fiber-reinforced bio-composites and biodegradable materials.

šŸ› ļøSkills:

Materials Science & Engineering: Expertise in the development, extraction, and characterization of biopolymers and biocomposites, including those made from agro-food waste.,Metallurgy: Proficient in both theoretical and practical aspects of metallurgy, with experience teaching and updating educational materials.,Analytical Chemistry: Strong foundation in chemical analysis, with practical experience in laboratory management and analytical techniques.,Teaching & Pedagogy: Extensive experience in managing and delivering academic courses, updating teaching materials, and overseeing student projects.,Research & Development: Proven track record of managing research projects from conception to characterization, focusing on sustainable material development.

Research Focus :

Doctoral Research:The primary focus of the doctoral research was the development of bio-sourced composites and their structural and mechanical characterization. Specific achievements include:,Developing methodologies for the extraction of biopolymers from agro-food waste.,Creating biopolymers and biocomposites from these waste materials.,Characterizing films made from chitosan, a natural polymer, and enhancing their properties with glycerol and gel additives.,Reinforcing chitosan films with chicken feather fibers to improve mechanical performance.,Evaluating the mechanical properties of these films through swelling or bulge tests.

šŸ”¬Achievements:

Successfully managed pedagogical tasks related to practical work in both general chemistry and metallurgy at E.N.S.A.M.,Developed and updated teaching materials for metallurgy, including lab work handouts and tutorials.,Contributed to the supervision of several engineering projects focused on biopolymers and biocomposites.

Conclusion:

Dr. Orkhisā€™s strong academic qualifications and innovative research make her a valuable candidate for the Research for Best Researcher Award. To enhance her chances, focusing on increasing her publication record, expanding collaborations, and engaging in broader outreach could further strengthen her application. Her dedication to advancing sustainable materials science and contributing to education in her field highlights her potential to be recognized as a leading researcher.

Publications :

  • Development and Characterization of Chitosan Film Incorporated with Additives Glycerol and Gel for Biodegradable Packaging
    • Authors: Orkhis, S., Essoussi, H., Bougueraa, F.Z., Ettaqi, S.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2024
    • Volume: 134
    • Issue: 3-4
    • Pages: 1265ā€“1275

 

  • Microstructural and Mechanical Properties of Dissimilar Joining of Aluminum and Steel
    • Authors: Essoussi, H., Bougueraa, F.Z., Orkhis, S., Ettaqi, S.
    • Conference: Lecture Notes in Networks and Systems
    • Year: 2023
    • Volume: 605 LNNS
    • Pages: 3ā€“11

 

  • Physicalā€“Chemical and Morphological Characterization of Chitosan Extracted from Shrimp Shells
    • Authors: Orkhis, S., Bougueraa, F.Z., Essoussi, H., Ettaqi, S.
    • Conference: Lecture Notes in Networks and Systems
    • Year: 2023
    • Volume: 605 LNNS
    • Pages: 87ā€“95

 

  • Mechanical Characterization of Hybrid Biocomposite Film Chitosan/Starch Reinforced by Fiber Raphia
    • Authors: Bougueraa, F.Z., Orkhis, S., Essoussi, H., Ettaqi, S.
    • Conference: Lecture Notes in Networks and Systems
    • Year: 2023
    • Volume: 605 LNNS
    • Pages: 68ā€“76

 

  • Effects of Alkali Treatment on Mechanical Properties of Chicken Feather Fiber/Chitosan Composites for Packaging Applications
    • Authors: Orkhis, S., Ettaqi, S.
    • Journal: Waste and Biomass Valorization
    • Year: 2022
    • Volume: 13
    • Issue: 4
    • Pages: 2309ā€“2320

 

 

 

Mahmoud Marhamati |Artificial | Best Researcher Award

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Mr.Mahmoud Marhamati |Artificial | Best Researcher Award

Mr. Mahmoud Marhamati ,PhD candidate in Tehran University of Medical Science, Iran

Mr. Mahmoud Marhamati is a PhD candidate at Tehran University of Medical Sciences in Iran. His research focuses on advancing medical science through innovative studies in his field. He is dedicated to contributing to healthcare improvements and academic excellence, and is actively involved in both research and academic pursuits at the university.

Summary:

Strengths: Innovation in noisy data augmentation, high-impact publications, interdisciplinary collaboration, and significant contributions to COVID-19 research.,Areas for Improvement: Diversifying AI research topics and enhancing recent paper visibility.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

M. Marhamati holds an advanced degree in medical sciences, specifically focusing on computational medicine and biomedical research. This background includes a strong foundation in medical imaging, computational biology, and clinical research, preparing them to contribute significantly to the application of artificial intelligence in healthcare. The educational path also demonstrates a blend of medical knowledge with a deep understanding of technological advancements in disease detection, management, and clinical trials.

šŸ¢Ā Experience:

M. Marhamati has a rich experience in the intersection of healthcare and technology, particularly in the development and enhancement of machine learning and deep learning algorithms for medical image analysis. Their work spans from the detection of COVID-19 using X-ray and CT images to research in chronic disease management, leveraging the Internet of Things (IoT). They have also contributed to clinical research, including trials related to the efficacy of various medical interventions, such as intravenous catheter patency, airway monitoring during CPR, and pain management in medical procedures.

šŸ› ļøSkills:

Deep Learning & Machine Learning: Extensive experience in applying deep convolutional neural networks (CNNs) for medical image analysis, including the detection of COVID-19 and tuberculosis.,Medical Imaging Analysis: Expertise in X-ray and CT image processing, particularly for respiratory diseases like COVID-19.,Clinical Research & Trials: Proven track record in designing and conducting clinical trials, focusing on novel therapeutic interventions and medical devices.,Biomedical Research: Ability to bridge clinical practice with cutting-edge research, with publications in both medical and technical fields.,Data Augmentation & Noise Handling: Experience in developing noise-robust deep learning models and augmentation strategies to improve model generalization.,Internet of Things (IoT) in Healthcare: Knowledge in integrating IoT technologies for chronic disease management, particularly during the COVID-19 pandemic.

šŸ”¬Awards:

Throughout their career, M. Marhamati has received recognition for their innovative work in applying deep learning to medical image analysis. Their research has been published in top-tier journals, and they have been acknowledged for their contributions to improving the detection of diseases like COVID-19 and tuberculosis through AI-based models. Additionally, their clinical research has garnered attention for improving patient care practices.

Research Focus:

M. Marhamatiā€™s research is primarily focused on the application of deep learning and AI in medical imaging and healthcare. One key area is the development of noise-robust deep convolutional neural networks (CNNs) for the detection of COVID-19 and tuberculosis from X-ray and CT images. They have also pioneered strategies for learning-to-augment methods to enhance the generalizability of CNN models in noisy environments. Moreover, their work extends to the integration of IoT in healthcare, exploring its role in managing chronic diseases, especially during pandemics.

Conclusion:

Mr. Mahmoud Marhamati is a highly suitable candidate for the Best Researcher Award due to his innovative contributions to AI in medical imaging, particularly in the detection and management of COVID-19. His interdisciplinary approach, impactful publications, and focus on real-world healthcare applications position him as a forward-thinking researcher who exemplifies excellence in combining AI with healthcare innovation. To further strengthen his candidacy, expanding into other AI applications beyond COVID-19 and seeking leadership opportunities would broaden his impact

Publications :

  • Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
    • Authors: M. Momeny, A.A. Neshat, M.A. Hussain, S. Kia, M. Marhamati, et al.
    • Journal: Computers in Biology and Medicine
    • Year: 2021
    • Citations: 67

 

  • Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
    • Authors: A. Akbarimajd, N. Hoertel, M.A. Hussain, A.A. Neshat, M. Marhamati, et al.
    • Journal: Journal of Computational Science
    • Year: 2022
    • Citations: 36

 

  • Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
    • Authors: M. Momeny, A.A. Neshat, A. Gholizadeh, A. Jafarnezhad, E. Rahmanzadeh, et al.
    • Journal: Computers in Biology and Medicine
    • Year: 2022
    • Citations: 32

 

  • Retracted: Internet of things in the management of chronic diseases during the COVIDā€19 pandemic: A systematic review
    • Authors: A. Shamsabadi, Z. Pashaei, A. Karimi, P. Mirzapour, K. Qaderi, M. Marhamati, et al.
    • Journal: Health Science Reports
    • Year: 2022
    • Citations: 27

 

  • LAIU-Net: a learning-to-augment incorporated robust U-Net for depressed humansā€™ tongue segmentation
    • Authors: M. Marhamati, A.A.L. Zadeh, M.M. Fard, M.A. Hussain, K. Jafarnezhad, et al.
    • Journal: Displays
    • Year: 2023
    • Citations: 18

 

  • Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
    • Authors: M.A. Hussain, Z. Mirikharaji, M. Momeny, M. Marhamati, A.A. Neshat, R. Garbi, et al.
    • Journal: Computerized Medical Imaging and Graphics
    • Year: 2022
    • Citations: 11

 

  • Comparing Serum Levels of Vitamin D and Zinc in Novel Coronavirusā€“Infected Patients and Healthy Individuals in Northeastern Iran, 2020
    • Authors: S.J. Hosseini, B. Moradi, M. Marhamati, A.A. Firouzian, E. Ildarabadi, A. Abedi, et al.
    • Journal: Infectious Diseases in Clinical Practice
    • Year: 2021
    • Citations: 6

 

  • Comparing the effects of pulsatile and continuous flushing on time and type of peripheral intravenous catheters patency: a randomized clinical trial
    • Authors: S.J. Hosseini, F. Eidy, M. Kianmehr, A.A. Firouzian, F. Hajiabadi, M. Marhamati, et al.
    • Journal: Journal of Caring Sciences
    • Year: 2021
    • Citations: 4

 

  • Emergency Medical Service Personnel Satisfaction Regarding Ambulance Service Facilities and Welfare
    • Authors: A. Jesmi, H.M. Ziyarat, M. Marhamati, T. Mollaei, H. Chenari
    • Journal: Iranian Journal of Emergency Medicine
    • Year: 2015
    • Citations: 2

 

  • Patient’s airway monitoring during cardiopulmonary resuscitation using deep networks
    • Authors: M. Marhamati, B. Dorry, S. Imannezhad, M.A. Hussain, A.A. Neshat, et al.
    • Journal: Medical Engineering & Physics
    • Year: 2024
    • Citations: 1

 

  • Comparison of using cold versus regular temperature tube on successful nasogastric intubation for patients in toxicology emergency department: a randomized clinical trial
    • Authors: S.R. Mazlom, A.A. Firouzian, H.M. Norozi, A.G. Toussi, M. Marhamati
    • Journal: Journal of Caring Sciences
    • Year: 2020
    • Citations: 1

 

  • Comparison of using cooled and regular-temperature nasogastric tubes on the success of nasogastric intubation
    • Authors: S. Mazlom, M. Marhamati, H. Norozi, A. Ghasemi Toosi
    • Journal: Evidence Based Care
    • Year: 2015
    • Citations: 1

 

 

Guanglong Du |robotics | Best Researcher Award

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Prof .Guanglong Du |robotics | Best Researcher Award

Prof . Guanglong Du ,South China University of Technology, China

Prof. Guanglong Duā€™s credentials, spanning from his educational background to his extensive experience in human-robot interaction, make him a strong candidate for the Best Researcher Award. His leadership in national and provincial research projects, his role in bridging academia with industry, and his focus on solving real-world problems position him as an influential figure in his field. However, expanding his international profile and increasing his global research visibility through collaboration and publication in top international venues could further enhance his candidacy.

Summary:

Dr. Qing Dai is an outstanding researcher with a remarkable track record of innovation in chemical biology and nucleoside chemistry. His pioneering methods for RNA and DNA sequencing, particularly in the context of detecting modifications such as 5-hmC and pseudouridine, have significant potential for advancing genomics and cancer research. His ability to translate complex research into applicable technologies, supported by numerous patents and prestigious awards, demonstrates his capacity for high-level scientific contributions. However, a more visible engagement in mentorship, societal impact, and broader community outreach could enhance his profile for the Best Researcher Award.

Professional Profiles:

šŸŽ“ Education :

PhD in Information and Computer Science,2013-2008, South China University of Technology, China,Bachelor of Information and Computer Science,2008-2004, Sun Yat-sen University, Guangzhou, China

šŸ¢Ā Experience:

Professor, School of Computer Science and Engineering,September 2020 ā€“ Present, South China University of Technology,Leading research efforts in robotics, human-machine interaction, and artificial intelligence. Chairing multiple national and provincial research projects.,Associate Professor, School of Computer Science and Engineering,September 2016 ā€“ September 2020, South China University of Technology,Conducted research on robotics and human-robot communication. Led and participated in numerous research projects funded by both national and provincial bodies,Associate Researcher, School of Computer Science and Engineering,August 2015 ā€“ September 2016, South China University of Technology,Involved in projects related to natural human-robot interaction and industrial applications of human-machine collaboration.

šŸ› ļøSkills:

Artificial Intelligence & Machine Learning,Expertise in applying AI technologies to human-machine interaction, robot learning, and adaptive systems,Human-Robot Communication,Skilled in designing natural interaction methods between robots and humans, with experience in developing force feedback technologies and immersive virtual environments,Project Leadership & Collaboration,Experienced in leading large-scale, multi-year research projects funded by national bodies and private enterprises. Excellent collaboration,skills, particularly in cross-disciplinary research teams.

šŸ”¬Awards:

Chairperson of several major research projects under the National Natural Science Foundation of China (NSFC).,Leader of provincial and ministerial-level projects, including the Guangdong Provincial Key Area R&D Program.

Conclusion:

Based on his strong research leadership, practical contributions to human-robot interaction, and proven ability to attract significant research funding, Prof. Guanglong Du is highly deserving of recognition as a top researcher. With a few targeted efforts toward international collaboration and interdisciplinary innovation, he has the potential to secure this award and continue his ascent as a leader in his field.

Publications :

  • A Fully Autonomous Robotic Ultrasound System for Thyroid Scanning
    Authors: Su, K., Liu, J., Ren, X., Li, D., Liu, P.X.
    Source: Nature Communications
    Year: 2024
    Citations: 2

 

  • Online Kinematic Calibration of Robot Manipulator Based on Neural Network
    Authors: Kong, Y., Yang, L., Chen, C., Guan, Q., Du, G.
    Source: Measurement: Journal of the International Measurement Confederation
    Year: 2024
    Citations: 0

 

  • Discrete Cross-Modal Hashing with Relaxation and Label Semantic Guidance
    Authors: Teng, S., Huang, W., Wu, N., Zhang, W., Teng, L.
    Source: World Wide Web
    Year: 2024
    Citations: 0

 

  • A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
    Authors: Du, G., Long, S., Li, C., Wang, Z., Liu, P.X.
    Source: IEEE Transactions on Cybernetics
    Year: 2023
    Citations: 11

 

  • An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram
    Authors: Du, G., Zhou, W., Li, C., Li, D., Liu, P.X.
    Source: IEEE Transactions on Affective Computing
    Year: 2023
    Citations: 14

 

  • A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture
    Authors: Du, G., Li, Y., Su, K., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 2
  • A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Authors: Du, G., Deng, Y., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 6
  • A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
    Authors: Du, G., Zhang, L., Su, K., Teng, S., Liu, P.X.
    Source: IEEE Transactions on Intelligent Transportation Systems
    Year: 2022
    Citations: 29

 

  • An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation
    Authors: Du, G., Deng, Y., Ng, W.W.Y., Li, D.
    Source: IEEE Transactions on Human-Machine Systems
    Year: 2022
    Citations: 5

 

  • An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm
    Authors: Du, G., Yao, G., Li, C., Liu, P.
    Source: IEEE/ASME Transactions on Mechatronics
    Year: 2022
    Citations: 3

 

 

 

Hassan Afshari |mechanics| Best Researcher Award

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Ā Dr.Hassan Afshari |mechanics| Best Researcher Award

Ā Dr. Hassan Afshari ,Islamic Azad University, Khomeinishahr Branch, Iran

Dr. Hassan Afshari is a faculty member at the Islamic Azad University, Khomeinishahr Branch, in Iran. He is involved in academic research and teaching in his field, contributing to the university’s academic community. His specific research interests and areas of expertise are not mentioned, but as a university faculty member, he likely focuses on disciplines relevant to his department and field of study.

Summary:

Dr. Hassan Afshari is a highly competent researcher with significant expertise in mechanical engineering, particularly in aeroelasticity, optimization, and mechanical vibration. His strong academic background, coupled with his research experience in advanced computational methods, makes him a strong candidate for awards recognizing technical excellence. However, diversifying his research applications and engaging in broader collaborations could further strengthen his profile.

Professional Profiles:

Google Scholar

Orcid

šŸŽ“ Education :

Ph.D. in Mechanical Engineering,University of Kashan, Kashan, Iran (2012-2017)
Completed a Ph.D. focused on the optimization, stability, and active aeroelastic flutter control of non-uniform trapezoidal plates using smart materials. The research involved advanced material applications for flutter control through extensive optimization and stability analysis. Under the supervision of Dr. Keivan Torabi, the thesis was completed with a GPA of 19.81.,Master of Science in Mechanical Engineering
University of Kashan, Kashan, Iran (2009-2012),Pursued an M.Sc. in Mechanical Engineering with a thesis analyzing transverse vibrations in viscoelastic Bernoulli-Euler and Timoshenko beams containing multiple open cracks. The research was compared with solutions obtained using the Differential Quadrature Element Method (DQEM). The thesis, supervised by Dr. Keivan Torabi and advised by Dr. Ahmadreza Ghasemi, was completed with a GPA of 18.22.,Bachelor of Science in Mechanical Engineering,University of Kashan, Kashan, Iran (2005-2009)
Completed a B.Sc. in Mechanical Engineering with a thesis on the buckling analysis of functionally graded material (FGM) cylindrical shells subjected to time-dependent axial loads. The work was supervised by Professor Ali Ghorbanpour Arani, and the degree was earned with a GPA of 17.10.

šŸ¢Ā Experience:

Researcher, Mechanical Engineering Department, University of Kashan,2012 – Present,Conducted extensive research in mechanical vibrations, with a primary focus on continuous systems and rotor dynamics. The research involved developing analytical and numerical solutions to study the behavior of plates and shells under various loading conditions. Specializing in aeroelasticity and flutter analysis, the work had practical applications in aircraft structures. Significant contributions were made in the development of optimization algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to improve system performance.,Teaching Assistant, University of Kashan,2009 – 2017,Assisted in teaching undergraduate and graduate mechanical engineering courses, covering dynamics, vibrations, and structural analysis. Responsibilities included guiding students through complex engineering concepts, conducting laboratory experiments, and grading coursework.

šŸ› ļøSkills:

Mechanical Vibration: Expertise in the analysis of continuous systems, with a particular focus on rotor dynamics and the dynamic behavior of mechanical structures.,Plates and Shells Analysis: Proficient in the bending, buckling, and vibration analysis of plates and shells, particularly when working with advanced materials.,Aeroelasticity: Focused on flutter analysis and control techniques, especially using smart materials for active aeroelastic control.,Optimization Techniques: Experienced in optimization algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).,Numerical Methods: Skilled in applying methods like Differential Quadrature Methods (DQM), Finite Element Method (FEM), and Rayleigh-Ritz Method to solve complex mechanical problems.

šŸ”¬Awards:

Top Researcher Award ā€“ University of Kashan, 2016
Recognized as a leading researcher for significant contributions in the field of mechanical vibrations and aeroelasticity.,Best Ph.D. Thesis Award ā€“ University of Kashan, 2017,Honored for producing an outstanding doctoral thesis focused on optimization and active control of aeroelastic flutter in trapezoidal plates,using smart materials.

Research Focus:

The primary research focus is on mechanical vibration, plates and shells, and aeroelasticity. Special interest is placed on the dynamic and stability analysis of mechanical structures under external forces, such as flutter. A major aspect of this work includes optimization techniques, using genetic algorithms and particle swarm optimization to enhance the control and performance of mechanical systems. Significant effort is also invested in developing and applying numerical methods like DQM, FEM, and Rayleigh-Ritz to provide precise solutions for complex engineering challenges.

Conclusion:

Dr. Afshari has the technical expertise, research rigor, and academic credentials to be a suitable candidate for the Research for Best Researcher Award. His work addresses critical engineering challenges, and with a few strategic improvementsā€”such as expanding the application of his research and increasing international collaborationā€”he could elevate his impact and recognition in the global research community.

Publications :

  • Vibration and flutter analyses of cantilever trapezoidal honeycomb sandwich plates”
    • Authors: K Torabi, H Afshari, FH Aboutalebi
    • Journal: Journal of Sandwich Structures & Materials
    • Year: 2019
    • Citations: 76

 

  • “Size-dependent buckling and vibration analyses of GNP reinforced microplates based on the quasi-3D sinusoidal shear deformation theory”
    • Authors: H Afshari, N Adab
    • Journal: Mechanics Based Design of Structures and Machines
    • Year: 2022
    • Citations: 69

 

  • “Free and forced vibration analysis of laminated functionally graded CNT-reinforced composite cylindrical panels”
    • Authors: AG Arani, F Kiani, H Afshari
    • Journal: Journal of Sandwich Structures & Materials
    • Year: 2021
    • Citations: 68

 

  • “Free vibration analysis of GNP-reinforced truncated conical shells with different boundary conditions”
    • Author: H Afshari
    • Journal: Australian Journal of Mechanical Engineering
    • Year: 2022
    • Citations: 62

 

  • “Agglomeration effects on free vibration characteristics of three-phase CNT/polymer/fiber laminated truncated conical shells”
    • Authors: AH Yousefi, P Memarzadeh, H Afshari, SJ Hosseini
    • Journal: Thin-Walled Structures
    • Year: 2020
    • Citations: 58

 

  • “Effect of graphene nanoplatelet reinforcements on the dynamics of rotating truncated conical shells”
    • Author: H Afshari
    • Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
    • Year: 2020
    • Citations: 51

 

  • “Bending, buckling and vibration analyses of MSGT microcomposite circular-annular sandwich plate under hydro-thermo-magneto-mechanical loadings using DQM”
    • Authors: M Mohammadimehr, M Emdadi, H Afshari, B Rousta Navi
    • Journal: International Journal of Smart and Nano Materials
    • Year: 2018
    • Citations: 48

 

  • “A DQEM for transverse vibration analysis of multiple cracked non-uniform Timoshenko beams with general boundary conditions”
    • Authors: K Torabi, H Afshari, FH Aboutalebi
    • Journal: Computers & Mathematics with Applications
    • Year: 2014
    • Citations: 48

 

  • “Aeroelastic analysis of laminated FG-CNTRC cylindrical panels under yawed supersonic flow”
    • Authors: AG Arani, F Kiani, H Afshari
    • Journal: International Journal of Applied Mechanics
    • Year: 2019
    • Citations: 47

 

  • “Vibration characteristics of rotating truncated conical shells reinforced with agglomerated carbon nanotubes”
    • Authors: H Afshari, H Amirabadi
    • Journal: Journal of Vibration and Control
    • Year: 2022
    • Citations: 45

 

 

 

 

ANEES UR REHMAN|solar cell| Best Researcher Award

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Ā Dr.ANEES UR REHMAN|solar cell| Best Researcher Award

Ā Dr. ANEES UR REHMAN ,The University of Chicago, China

Dr. Anees Ur Rehman is a distinguished academic affiliated with The University of Chicago, China. His expertise spans several fields, with significant contributions to research and education. As a dedicated scholar, Dr. Rehman has actively participated in numerous research projects, publications, and academic initiatives. His work is recognized for its impact on both the academic community and broader scientific disciplines. Through his dedication to innovation and knowledge-sharing, Dr. Rehman continues to shape future generations of scholars and professionals in his field.

Summary:

Dr. Anees ur Rehmanā€™s background showcases a strong academic and research trajectory. His expertise in solar energy, nano-materials, and renewable energy systems has been applied both in theoretical and practical projects, contributing to the advancement of sustainable technologies. His leadership roles and multiple recognitions in national exhibitions speak to his excellence in research and mentorship. His work addresses critical challenges in energy sustainability, making him a valuable contributor to the field.

Professional Profiles:

šŸŽ“ Education :

Engr. Dr. Anees Ur Rehman holds a Doctor of Philosophy (PhD) in Electrical Engineering from Sarhad University of Science and Information Technology (SUIT), Peshawar, Pakistan, completed in 2021. His dissertation focused on “Modeling, Fabrication, and Characterization of Nano-materials Based Dye Sensitized Solar Cell (DSSC) for Long Term Stability,” under the supervision of Dr. Mahmood Khan, an IEEE Fellow from the University of South Australia. Dr. Anees also holds a Master of Science (MS) in Electrical Engineering from the University of Engineering and Technology, Peshawar, completed in 2013. His research at the master’s level involved the development of Dye-Sensitized Solar Cells, comparing different cathode materials. He earned his Bachelor of Science (BS) in Electrical Engineering from the same university in 2008, with a focus on solar-powered smart irrigation systems.

šŸ¢Ā Experience:

Dr. Anees currently serves as an Associate Professor in the Electrical Engineering Department at Sarhad University of Science and IT, Peshawar, a role he has held since August 2022. Prior to this, he worked as an Assistant Professor at the same university from 2013 to 2022 and as a Lecturer from 2009 to 2013. His academic leadership roles include Chairing the Electrical Engineering Department and Convener of the Board of Studies. Additionally, Dr. Anees has experience as a visiting lecturer at the Government College of Technology, Peshawar, affiliated with UET Peshawar, during the 2008-2009 academic year.

šŸ› ļøSkills:

Dr. Anees specializes in the development of nano-technology-based solar cells and renewable energy systems. His technical expertise includes Solar Cell Technology, High Voltage Engineering, Power System Analysis, and Digital Logic Design. He has a robust background in power generation and distribution, having taught courses on Power System Protection, Power System Transmission & Distribution, and Electromagnetic Field Theory. Dr. Anees is also skilled in project coordination and academic leadership, with extensive experience in program coordination, internal evaluation, and performance enhancement planning.

šŸ”¬Awards:

Throughout his academic career, Dr. Anees has received several awards and recognition for his contributions. He has supervised projects that have won prestigious awards, such as the 1st position in the EMCOT Exhibition in 2013 and the 3rd position in the Swat Expo in 2014. He also won the Best Product Award in a Project Exhibition arranged by the Directorate of Science and Technology KPK in March 2013. Additionally, Dr. Anees has actively participated in multiple exhibitions like DICE Connect, organized by the Higher Education Commission Pakistan and The British Council. His academic contributions include poster presentations at renowned symposia, including the i-Energy Symposium at CECOS University in 2012.

Research Focus:

Dr. Anees’ research primarily focuses on renewable energy resources, particularly nano-technology-based solar cells. His work includes the study of the plasmonic effect in perovskite solar cells, thin-film solar cell efficiency enhancement, and energy management systems for microgrids. He has also supervised research projects on hollow material-based electron transport layers for solar cells and the optimization of distributed energy generation. His extensive research contributions extend to funded projects, such as the development of UAVs for crop spraying, fleet management systems, and gas leakage monitoring systems using Arduino and Zigbee technologies.

Conclusion:

Dr. Anees ur Rehman is a highly deserving candidate for the Best Researcher Award. His educational qualifications, leadership in academia, and significant contributions to renewable energy research highlight his dedication to advancing knowledge and technology. To further enhance his candidacy for future awards, increasing his international research collaborations and exploring more interdisciplinary projects could be beneficial. Overall, his achievements align well with the award criteria, making him a strong contender.

Publications :

  • Title: “Analyzing the compatibility and optimization of organic and Al2CdX4 chalcogenides materials as charge transport layers for planar and inverted MASnI3 perovskites”
    Authors: Abbasi, M.Z., Rehman, A.U., Khan, Z., Rehman, O.U., Saeed, M.A.
    Source: Optical Materials
    Year: 2024
    Citations: 0

 

  • Title: “Optimization of Hollow Materials-Based Electron Transport Layer for Enhanced Performance of Perovskite Solar Cell”
    Authors: Rehman, A., Rehman, A.U., Aslam, M., Muhammad, N., Saeed, M.A.
    Source: Plasmonics
    Year: 2024
    Citations: 0

 

  • Title: “Enhanced Absorption Performance of Dye-Sensitized Solar Cell with Composite Materials and Bilayer Structure of Nanorods and Nanospheres”
    Authors: Rehman, A.U., Ullah, N., Saeed, M.A., Khalil, U.K.
    Source: Metals
    Year: 2022
    Citations: 6

 

  • Title: “Optical Transmission Plasmonic Color Filter with Wider Color Gamut Based on X-Shaped Nanostructure”
    Authors: Shafiq, R., Khan, A.D., Al-Harbi, F.F., Alibakhshikenari, M., Dalarsson, M.
    Source: Photonics
    Year: 2022
    Citations: 5

 

  • Title: “A theoretical study of broadband extraordinary optical transmission in gold plasmonic square nanohole arrays and its application on refractive index sensor”
    Authors: Shafiq, R., Iqbal, J., Khan, A.D., Rehman, A.U.
    Source: Optical and Quantum Electronics
    Year: 2022
    Citations: 5

 

  • Title: “Optical absorption modeling of bilayer photoanode based on Cu@TiO2 plasmonic dye sensitized solar cells towards photovoltaic applications”
    Authors: Rehman, Z.U., Ali, S., Aslam, M., Shah, S.K., Batool, S.
    Source: Optical and Quantum Electronics
    Year: 2021
    Citations: 5

 

  • Title: “The effect of plasmonic multilayered photoanode structures on the absorption of dye-sensitized solar cells”
    Authors: Rehman, A.U., Khan, M., Khan, A.D., Khan, S., Imran, M.
    Source: Japanese Journal of Applied Physics
    Year: 2021
    Citations: 6

 

  • Title: “Enhancing the light absorption in dye-sensitized solar cell by using bilayer composite materials based photo-anode”
    Authors: Rehman, A.U., Aslam, M., Shahid, I., Batool, S., Khan, M.
    Source: Optics Communications
    Year: 2020
    Citations: 18

 

  • Title: “Enhancing the Photovoltaic Performance of Solid-State Dye-Sensitized Solar Cells with Composite Materials and Luminescent Down-Shifting”
    Authors: Rehman, A.U., Aslam, M., Khan, M., Iqbal, M.A., Ahmed, S.
    Source: Journal of Electronic Materials
    Year: 2020
    Citations: 10

 

  • Title: “Comparison of six different methods of Weibull distribution for wind power assessment: A case study for a site in the Northern region of Pakistan”
    Authors: Khalid Saeed, M., Salam, A., Rehman, A.U., Abid Saeed, M.
    Source: Sustainable Energy Technologies and Assessments
    Year: 2019
    Citations: 64