Kawthar Zaraket |Artificial intelligence| Best Researcher Award

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Ms. Kawthar Zaraket |Artificial intelligence| Best Researcher Award

Haute Alsace University,Lebanon

Ms. Kawthar Zaraket is an accomplished academic and researcher affiliated with Haute Alsace University in Lebanon. Her work spans diverse fields, reflecting her dedication to advancing knowledge and fostering innovation. With a commitment to academic excellence, Ms. Zaraket has made significant contributions through research, teaching, and collaboration. Her expertise and leadership continue to impact her field and inspire future scholars.

Summary:

Ms. Kawthar Zaraket is an accomplished researcher with a solid academic background, a broad technical skill set, and valuable teaching and industry experience. Her expertise spans several critical areas of data science, making her a strong candidate for the Best Researcher Award. However, she could further enhance her profile by highlighting specific research outputs, community contributions, and a focused area of specialization.

 

Professional Profiles:

 Scopus

🎓 Education :

Kawthar Zaraket is a dedicated researcher currently pursuing a PhD in Data Science at both the Lebanese University, Lebanon, and Université de Haute Alsace, France. Her academic journey reflects her commitment to excellence, as she has successfully completed the following milestones:,Third Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,Second Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,First Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,Master Two in Computer Networks (Second Semester) – La Rochelle University, France, and Lebanese University,Master Two in Information Systems and Data Intelligence (First Semester) – La Rochelle University, France, and Lebanese University,Master One in Computer Science – Lebanese University, Lebanon,Bachelor’s Degree in Computer Science – Lebanese University, Lebanon

 

🏢 Experience:

Kawthar’s professional experience spans academic teaching, software engineering, and data engineering, highlighting her technical expertise and problem-solving skills,Computer Science University Instructor (2022–Present)Al Maaref University, Beirut, Lebanon,Delivered courses on Data Structures (JAVA), Object-Oriented Programming (JAVA), Basic Programming Concepts (C++), and Business Software Applications.,Software Engineer (2021–2022),Payleadr Software Company, Australia,Worked with Java, Groovy, Grails, and related technologies.,Hands-on experience with MySQL, AWS S3, API tools like Postman, and Agile Project Management frameworks including Scrum.,Data Engineer Intern (2021),Intelligencia Development Hub, Beirut,Specialized in ETL processes, Azure Data Factory, Synapse Analytics, and data warehousing.

🛠️Skills:

Kawthar has a robust skill set covering a range of technical domains:,Backend Development: Proficient in Java, Apache Groovy, Python, C, C#, C++, ASP.NET, and PHP.,Frontend Development: Skilled in GSP, HTML, CSS, JS, AJAX, and JQuery.,Web Development Tools: Experienced in Git and GitHub.,Frameworks: Expert in MVC and Grails.,Databases: Skilled in relational databases such as MySQL and Microsoft SQL Server.,Other Areas of Interest: Machine Learning (ML) and Computer Aided Design In Mechanical Engineering (AI).

 

Research Focus :

Kawthar’s PhD research centers around Data Science, with a strong focus on Computer Aided Design In Mechanical Engineering, Machine Learning, and Big Data Analytics. Her research involves real-time data processing, knowledge discovery, and building intelligent systems for advanced applications in data networks.

 

🔬Awards:

Ranked 1st during Bachelor’s and Master One programs at Lebanese University.,Achieved 85% in the second semester of Master Two in Computer Networks.,Consistently maintained an excellent academic track record with a score of 80% in the first semester of Master Two.

 

Conclusion:

Ms. Kawthar Zaraket is a suitable candidate for the Best Researcher Award due to her exceptional academic achievements, technical expertise, and diverse experiences. Her dedication to advancing her knowledge through her PhD and certifications reflects her commitment to research excellence. Enhancing her portfolio with significant publications and showcasing her community impact would position her even more favorably for this award.

 

 Publications:

  • Publication:
    Title: Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems
    Authors: Zaraket, K.; Harb, H.; Bennis, I.; Jaber, A.; Abouaissa, A.
    Year: 2024
    Citations: 0

 

  • Publication:
    Title: Flophet: A Novel Prophet-Based Model for Traffic Flow Prediction in Vehicular Ad Hoc Networks
    Authors: Zaraket, K.; Harb, H.; Bennis, I.; Jaber, A.; Abouaissa, A.
    Year: 2023
    Citations: 0

 

  • Publication:
    Title: A Comparative Study of Recent Advances in Big Data Analytics in Vehicular Ad Hoc Networks
    Authors: Zaraket, K.; Bennis, I.; Harb, H.; Jaber, A.; Abouaissa, A.
    Year: 2022
    Citations: 4

 

S Reaz Ahmed|Composite| Excellence in Research

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Prof. S Reaz Ahmed|Composite| Excellence in Research

Bangladesh University of Engineering & Technology,Bangladesh

S. Reaz Ahmed is a distinguished academic affiliated with the Bangladesh University of Engineering and Technology (BUET), Bangladesh. Renowned for his contributions to engineering research and education, he has made significant advancements in his field, fostering innovation and academic excellence.

Summary:

Prof. S. Reaz Ahmed has made substantial contributions to research, with a track record of influential publications and collaborations. His research focuses on solving complex issues, and his innovative approach has garnered recognition in the academic community. However, expanding the reach of his work beyond academia and into practical applications would further solidify his legacy in the field.

 

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Shaikh Reaz Ahmed boasts an impressive academic background in Mechanical Engineering, having earned his Ph.D., M.Sc., and B.Sc. degrees in the field. He completed his Ph.D. at Tohoku University, Japan, after obtaining both his M.Sc. and B.Sc. degrees from the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

 

🏢 Experience:

With over three decades of experience in academia, Dr. Ahmed has made significant contributions to BUET. His career progression includes roles as a Professor (April 2007 – Present), Associate Professor (December 2002 – April 2007), Assistant Professor (September 1994 – December 2002), and Lecturer (June 1991 – September 1994) at BUET’s Department of Mechanical Engineering. Additionally, he has taught part-time at the Military Institute of Science and Technology (MIST) in various engineering departments, including Aeronautical, Mechanical, and Naval Architecture and Marine Engineering.

🛠️Skills:

Dr. Ahmed’s technical and academic expertise spans a broad range of domains. He is skilled in materials testing, evaluation, and characterization, as well as computational mechanics. His research interests also include the structural analysis of composite materials and electro-thermo-mechanical modeling and simulations. These skills have been developed through extensive research, teaching, and mentorship, ensuring his significant impact on both academia and industry.

 

Administrative Experience :

Dr. Ahmed has also held key administrative positions at BUET. He served as the Head of the Department of Mechanical Engineering from 2020 to 2022. From 2012 to 2019, he was the Director of the Directorate of Advisory, Extension, and Research Services (DAERS). He also served as Assistant Provost of Ahsan Ullah Hall between 2002 and 2004

 

🔬Awards:

Although specific awards are not detailed in Dr. Ahmed’s profile, his professional achievements are evident in his academic leadership, research contributions, and reputation within the field of Mechanical Engineering.

 

Conclusion:

Prof. S. Reaz Ahmed is a deserving candidate for the “Excellence in Research” award due to his outstanding contributions, innovative approach, and leadership in the field. By enhancing the scope of his work through industry collaboration and broader outreach, he could further elevate the impact of his research and its societal benefits.

 

 

 Publications:

  • Numerical solution of both ends fixed deep beams
    Citations: 104
    Year: 1996

 

  • Investigation of stresses at the fixed end of deep cantilever beams
    Citations: 85
    Year: 1998

 

  • Stress analysis of gear teeth using displacement potential function and finite differences
    Citations: 72
    Year: 2002

 

  • A general mathematical formulation for finite-difference solution of mixed-boundary-value problems of anisotropic materials
    Citations: 61
    Year: 2005

 

  • A finite-difference scheme for mixed boundary value problems of arbitrary-shaped elastic bodies
    Citations: 51
    Year: 2000

 

  • Optimum shapes of tire‐treads for avoiding lateral slippage between tires and roads
    Citations: 50
    Year: 2005

 

  • Analytical solution of a 2-D elastic problem with mixed boundary conditions
    Citations: 36
    Year: 1996

 

  • Analysis of stresses in deep beams using displacement potential function
    Citations: 35
    Year: 1996

 

  • Displacement potential solution of a deep stiffened cantilever beam of orthotropic composite material
    Citations: 34
    Year: 2007

 

  • A new ultrasonic angle-beam technique for sensitive evaluation of closed cracks
    Citations: 32
    Year: 2000

 

  • Numerical solutions of mixed boundary-value elastic problems
    Citations: 30
    Year: 1993

 

  • Heat conduction in a symmetric body subjected to a current flow of symmetric input and output
    Citations: 25
    Year: 2009

 

  • Displacement potential solution of short stiffened flat composite bars under axial loading
    Citations: 25
    Year: 2006

 

  • Generalized mathematical model for the solution of mixed-boundary-value elastic problems
    Citations: 24
    Year: 2005

 

  • A sensitive ultrasonic approach to NDE of tightly closed small cracks
    Citations: 23
    Year: 1998

 

Elisa Gervasoni |sensors| Best Paper Award

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Dr. Elisa Gervasoni |sensors| Best Paper Award

IRCCS Fondazione Don Gnocchi,Italy

Dr. Elisa Gervasoni is a distinguished researcher at the IRCCS Fondazione Don Carlo Gnocchi, Italy, renowned for her expertise in neuroscience and rehabilitation. With a strong focus on advancing therapeutic approaches, Dr. Gervasoni has contributed significantly to the field through her innovative research and publications. Her work emphasizes improving quality of life for patients with neurological and motor disorders, reflecting her commitment to cutting-edge medical science and compassionate care.

Summary:

Dr. Elisa Gervasoni is a seasoned researcher and academic with a remarkable track record in neuroscience and physiotherapy, particularly neurorehabilitation in multiple sclerosis. Her academic rigor, diverse teaching portfolio, and leadership roles in professional organizations underscore her suitability for recognition. Her work bridges foundational research and clinical applications, making her an asset to the research community.

 

Professional Profiles:

 Scopus

🎓 Education :

Elisa Gervasoni has cultivated an extensive academic foundation in neurosciences and physiotherapy. In 2023, she earned the Abilitazione Scientifica Nazionale for Fascia II in Scienze Delle Professioni Sanitarie e Delle Tecnologie Mediche Applicate (06/N1). She holds a Ph.D. in Neurosciences (2018) from the University of Genoa, where her research focused on Neurorehabilitation in Multiple Sclerosis: Insights into Fatigue and Motor Function. Elisa graduated summa cum laude with a Bachelor’s Degree in Physiotherapy (2008) from the University of Milan, presenting a thesis on aerobic training effects on multiple sclerosis-related fatigue. Additionally, she earned a Master’s Degree in Motor Sciences (2004) from the University of Milan, exploring the impact of passive static stretching on lower limb extensor muscle power.

 

🏢 Experience:

Elisa brings over a decade of experience as a researcher, educator, and physiotherapist. Since 2009, she has worked as a researcher at the Larice Laboratory, IRCCS Fondazione Don Carlo Gnocchi in Milan, focusing on innovative neurorehabilitation techniques and clinical trials. She is the Principal Investigator of the FAST Project (2023–2026), which examines the influence of fatigue on motor and cognitive functions during high-intensity training, and the Multimodal Training for MS project (2019–2024), studying intensive training’s benefits on walking and fatigue in multiple sclerosis patients. As a Contract Professor at prestigious institutions like the University of Milan, Insubria, Genoa, and Humanitas University, she delivers advanced courses on neurorehabilitation and physiotherapy while mentoring numerous students in bachelor’s and master’s research.

🛠️Skills:

Elisa is highly skilled in neurorehabilitation techniques, specializing in fatigue management and motor recovery for neurological conditions. She excels in academic leadership, designing advanced physiotherapy curricula, and mentoring aspiring physiotherapists. Her expertise in research methodology spans systematic reviews, meta-analyses, and randomized controlled trials. She is also actively involved in multi-institutional projects leveraging robotics and AI to enhance healthcare.

 

Research Focus :

Elisa’s research is primarily centered on neurorehabilitation, with a focus on designing targeted protocols for managing fatigue and improving motor function in multiple sclerosis patients. She is deeply engaged in exploring high-intensity training’s effects on motor and cognitive performance and contributing to advancements in robotic and AI applications in rehabilitation through collaborations under the PNRR framework.

 

🔬Awards:

As Vice President of the Group of Specialist Interest in Neurosciences under the Italian Association of Physiotherapists since 2022, Elisa has demonstrated leadership within the field. She is also a longstanding member of prominent organizations such as RIMS (Rehabilitation in Multiple Sclerosis) and the Italian Association of Physiotherapists since 2008.

Conclusion:

Dr. Gervasoni is a highly suitable candidate for the Research for Best Paper Award. Her prolific publication record, leadership in neurorehabilitation research, and commitment to advancing physiotherapy and neuroscience demonstrate her excellence. Addressing the alignment between her research contributions and the specific award criteria can further solidify her application.

 Publications:

  • Exploring the effectiveness of circuit training rehabilitation on balance, gait, and fatigue in multiple sclerosis: a systematic review and meta-analysis
    • Authors: Cardini, R., Corrini, C., Bertoni, R., Cattaneo, D., Gervasoni, E.
    • Journal: Physiotherapy (United Kingdom)
    • Year: 2024
    • Citation Count: 0

 

  • Efficacy of telerehabilitation with digital and robotic tools for the continuity of care of people with chronic neurological disorders: The TELENEURO@REHAB protocol for a randomized controlled trial
    • Authors: Rossetto, F., Mestanza Mattos, F.G., Gervasoni, E., Aprile, I., Baglio, F.
    • Journal: Digital Health
    • Year: 2024
    • Citation Count: 1

 

  • Complementary use of statistical parametric mapping and gait profile score to describe walking alterations in multiple sclerosis: a cross-sectional study
    • Authors: Mestanza Mattos, F.G., Luciano, F., Lencioni, T., Clerici, M., Cattaneo, D.
    • Journal: Scientific Reports
    • Year: 2023
    • Citation Count: 2

 

  • Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors
    • Authors: Liuzzi, P., Carpinella, I., Anastasi, D., Ferrarin, M., Mannini, A.
    • Journal: Scientific Reports
    • Year: 2023
    • Citation Count: 11

 

  • Uncovering Subtle Gait Deterioration in People with Early-Stage Multiple Sclerosis Using Inertial Sensors: A 2-Year Multicenter Longitudinal Study
    • Authors: Gervasoni, E., Anastasi, D., Di Giovanni, R., Carpinella, I., Cattaneo, D.
    • Journal: Sensors
    • Year: 2023
    • Citation Count: 0

 

  • Dynamic balance during walking in people with multiple sclerosis: A cross-sectional study
    • Authors: Anastasi, D., Lencioni, T., Carpinella, I., Ferrarin, M., Cattaneo, D.
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
    • Year: 2023
    • Citation Count: 2

 

  • A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings
    • Authors: Bonilauri, A., Gervasoni, E., Torchio, A., Cattaneo, D., Baglio, F.
    • Conference: 2023 IEEE International Conference on Metrology for eXtended Reality, Computer Aided Design In Mechanical Engineering and Neural Engineering
    • Year: 2023
    • Citation Count: 0

 

  • Validity of 2 Fall Prevention Strategy Scales for People with Stroke, Parkinson’s Disease, and Multiple Sclerosis
    • Authors: Gervasoni, E., Beghi, E., Corrini, C., Montesano, A., Cattaneo, D.
    • Journal: Journal of Geriatric Physical Therapy
    • Year: 2023
    • Citation Count: 1

 

  • Mobility and balance rehabilitation in multiple sclerosis: A systematic review and dose-response meta-analysis
    • Authors: Corrini, C., Gervasoni, E., Perini, G., Prosperini, L., Cattaneo, D.
    • Journal: Multiple Sclerosis and Related Disorders
    • Year: 2023
    • Citation Count: 14

 

  • Balance Impairments in People with Early-Stage Multiple Sclerosis: Boosting the Integration of Instrumented Assessment in Clinical Practice
    • Authors: Carpinella, I., Anastasi, D., Gervasoni, E., Ferrarin, M., Cattaneo, D.
    • Journal: Sensors
    • Year: 2022
    • Citation Count: 10

 

Aditi Singh |Robotics| Best Researcher Award

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Dr. Aditi Singh |Robotics| Best Researcher Award

Cleveland State University,United States

Aditi Singh is a student at Cleveland State University in the United States. She is currently pursuing her academic goals with a focus on [your field of study or interest, if known]. Aditi is passionate about [mention any specific interests or areas of expertise, if applicable] and is committed to contributing positively to her community and future career.

Summary:

Xiaohong Zheng is an accomplished researcher with a strong track record in materials science, particularly in the development of advanced gas sensors. His work on novel materials and their applications for detecting harmful gases like NO2 demonstrates significant scientific and practical value. He is recognized as an excellent teacher and mentor and has successfully led funded research projects. His ability to innovate, collaborate, and secure funding highlights his leadership in the field.

 

Professional Profiles:

 Scopus

🎓 Education :

Dr. Aditi Singh has an extensive academic background in computer science:,Ph.D. in Computer Science (2023) from Kent State University, focusing on “A Synchronized Colored Petri Net Modeling for Automated Identification and Learning of Conversational Gestures.”,M.S. in Computer Science (2017) from Kent State University, with research on automated gesture generation.,Bachelor of Engineering in Computer Science (2013) from Sathyabama University, India, graduating summa cum laude with a Gold Medal as the university top rank holder.

 

🏢 Experience:

Dr. Singh currently serves as an Assistant College Lecturer at Cleveland State University, where she teaches graduate and undergraduate courses such as algorithms, database systems, and programming languages. Her prior roles include:,Graduate Assistant at Kent State University, teaching artificial intelligence and programming.,Intern at MathWorks Inc., contributing to a Model-Based System Engineering product.,Programmer Analyst at Cognizant Technology Solutions, specializing in data transformation and warehousing.

🛠️Skills:

Dr. Singh possesses a diverse skill set, including:,Computer Aided Design In Mechanical Engineering: Expertise in modeling, gesture recognition, and large language models.,Programming: Proficient in multiple languages and frameworks for developing hybrid and online education tools.,Data Analytics and Visualization: Specializes in ETL processes and metadata management.,Leadership: Founding Chair of ACM-W Student Chapter and a former president of the Computer Science Graduate Student Association at Kent State University.

 

Research Focus :

Dr. Singh’s research delves into:,Computer Aided Design In Mechanical Engineering and Human-Computer Interaction: Gesture recognition and conversational modeling for social robots.,Educational AI: Developing innovative methods to teach AI concepts to K-12 students.,Applied AI and Big Data: Surveys on emotional AI frameworks, large language models, and big data challenges.

 

🔬Awards:

Dr. Singh’s accomplishments include:2024 AnitaB.org Advancing Inclusion Scholarship Award.,2023 Best Presenter Award at IEEE CCWC.,Multiple travel and volunteer awards for contributions to academic communities.,Finalist for the Best Paper Award in 2018.

 

Conclusion:

Given his solid research output, teaching excellence, and leadership in securing funding, Xiaohong Zheng is certainly a strong candidate for the Best Researcher Award. His contributions to the development of advanced sensing technologies, along with his academic and research leadership, position him as a promising figure in the field of materials science and sensor technology.

 

 Publications:

  • “A Survey of AI Text-to-Image and AI Text-to-Video Generators”
    • Citations: 20
    • Year: 2023

 

  • “Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model”
    • Citations: 15
    • Year: 2024

 

  • “A Comparison Study on AI language detector”
    • Citations: 7
    • Year: 2023

 

  • “Exploring Language Models: A Comprehensive Survey and Analysis”
    • Citations: 5
    • Year: 2023

 

  • “Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Computer Aided Design In Mechanical Engineering”
    • Citations: 5
    • Year: 2023

 

  • “Towards Synchronous Model of Non-emotional Conversational Gesture Generation in Humanoids”
    • Citations: 5
    • Year: 2021

 

  • “Declarative modeling and implementation of robotic head-based gestures for human-robot interaction”
    • Citations: 4
    • Year: 2019

 

  • “Synchronous Colored Petri Net Based Modeling and Video Analysis of Conversational Head-Gestures for Training Social Robots”
    • Citations: 3
    • Year: 2021

 

  • “Automated Real-Time Recognition of Non-emotional Conversational Head-Gestures for Social Robots”
    • Citations: 2
    • Year: 2022

 

  • “Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model”
    • Citations: 1
    • Year: 2024

 

  • “Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation”
    • Citations: 1
    • Year: 2024

 

  • “Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Analysis for Identifying Iconic Gestures in Human-Robot Interactions”
    • Citations: 1
    • Year: 2024

 

  • “Design of a Novice-Friendly Drone Control System”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human–Robot Interaction”
    • Citations: 1
    • Year: 2023

 

  • “Synchronized Colored Petri Net Based Multimodal Modeling and Real-Time Recognition of Conversational Spatial Deictic Gestures”
    • Citations: 1
    • Year: 2023

 

 

Xiaohong Zheng |gas sensor| Best Researcher Award

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Dr. Xiaohong Zheng | gas sensor | Best Researcher Award

shanghai institute of technology,China

The Shanghai Institute of Technology (SIT) is a public university located in Shanghai, China, known for its emphasis on applied sciences and engineering. Founded in 2000, it aims to provide high-quality education and research, with a focus on practical skills that align with industry needs. The university offers a range of undergraduate and postgraduate programs in fields such as engineering, management, design, and computer science. SIT collaborates closely with industries and international institutions to enhance academic and research capabilities, contributing to the development of technology and innovation in China.

Summary:

Xiaohong Zheng is an accomplished researcher with a strong track record in materials science, particularly in the development of advanced gas sensors. His work on novel materials and their applications for detecting harmful gases like NO2 demonstrates significant scientific and practical value. He is recognized as an excellent teacher and mentor and has successfully led funded research projects. His ability to innovate, collaborate, and secure funding highlights his leadership in the field.

 

Professional Profiles:

 Scopus

🎓 Education :

2014.9 – 2019.6: Master-Doctor Continuous Study, East China Normal University, Chemistry (Gas Sensors), in joint culture with Shanghai Institute of Silicate, Chinese Academy of Sciences,2010.9 – 2014.6: Bachelor’s Degree, Chemistry (Education Major), Liaocheng University

 

🏢 Experience:

Photogrammetrist/Geospatial Technician,Australia | April 2024–September 2024,2019.12 – Present: Teacher, Shanghai Institute of Technology, School of Materials Science and Engineering,Responsible for research and teaching in the fields of materials science, particularly focusing on gas sensors and nanomaterials for sensor applications.,Developed and taught courses related to chemistry and material sciences, with an emphasis on practical sensor development.

🛠️Skills:

Research & Development: Expertise in gas sensor design, material synthesis, and performance optimization.,Nanomaterial Characterization: Proficient in using various techniques such as SEM, TEM, XPS, and XRD for material analysis.,Project Management: Experienced in leading and managing research projects, from conceptualization through to implementation and publication.,Team Collaboration: Strong team player with the ability to work in multidisciplinary environments.,Teaching: Proven ability to teach and mentor students in material science and chemistry.

 

Research Focus :

Xiaohong Zheng’s research primarily focuses on the development of gas sensors for environmental monitoring and detection. This includes investigating various semiconductor materials, including indium tin oxide (ITO), tungsten oxide (WO₃), and zirconium oxide (ZrO₂) for sensing applications. The focus is on improving the performance, sensitivity, and selectivity of sensors, particularly for detecting gases like NO₂, triethylamine, and n-butanol. Key areas of interest include:,Nanostructure engineering for enhancing sensor sensitivity,Development of low-cost, high-performance gas sensors,Sensors based on novel materials such as mesoporous films and nanotube composites,Application of solid-state electrolytes in sensor technology for environmental monitoring

 

🔬Awards:

Department Excellence Award (Twice),First Prize, Teaching Skills Competition,Second Prize, Mathematics Competition, Shandong Province,First Prize, National Chemical Olympiad,Second Prize, National English Competition,Advanced Individual Award

 

Conclusion:

Given his solid research output, teaching excellence, and leadership in securing funding, Xiaohong Zheng is certainly a strong candidate for the Best Researcher Award. His contributions to the development of advanced sensing technologies, along with his academic and research leadership, position him as a promising figure in the field of materials science and sensor technology.

 

 Publications:

  • Low-cost high-performance NO2 sensor based on nanoporous indium tin oxide (ITO) film
    Sensors and Actuators B: Chemical, 2021
    This work presents a high-performance NO2 sensor using a nanoporous ITO film, demonstrating a low-cost, efficient solution for detecting nitrogen dioxide.

 

  • Mesoporous tungsten oxide electrodes for YSZ-based mixed potential sensors to detect NO2 in the sub-ppm range
    Sensors and Actuators B: Chemical, 2019
    This research focuses on the application of mesoporous tungsten oxide as electrodes in YSZ-based mixed-potential sensors for detecting NO2 at low concentrations, targeting air quality monitoring.

 

  • Sensing properties of amperometric ppb-level NO2 sensor based on sodium ion conductor with sensing electrodes comprising different WO3 nanostructures
    Journal of Materials Science, 2019
    A study on the amperometric sensing of NO2 at the ppb level using sodium-ion conductors and WO3-based sensing electrodes, showing promise for low-concentration detection.

 

  • Highly sensitive NO2 sensor based on mesoporous ZrO2-WO3 nanotubes composite
    Materials Research Bulletin, 2023
    This paper describes the development of a NO2 sensor using a mesoporous composite of ZrO2 and WO3 nanotubes, highlighting its high sensitivity and potential applications in environmental monitoring.

 

  • Electron sensitization and chemical sensitization of ZnWO4/WO3 nanorod heterojunctions for high performance triethylamine sensor
    Sensors and Actuators: B. Chemical, 2025
    This publication explores ZnWO4/WO3 nanorod heterojunctions for triethylamine sensing, improving the sensor’s performance by enhancing both electron and chemical sensitization.

 

  • Mn Doped MoO3 with Self-Assembled Nanoflowers Structure and Enhanced Gas Sensing Properties to Triethylamine
    Journal of The Electrochemical Society, 2024
    The paper investigates Mn-doped MoO3 nanoflowers for triethylamine detection, showing significantly enhanced gas-sensing properties.

 

  • Bismuth tungstate nanosheets sensors based on Temkin adsorption model for triethylamine detection
    Solid-State Electronics, 2024
    This research develops a bismuth tungstate nanosheet sensor for detecting triethylamine, with a focus on adsorption models for improved sensitivity and selectivity.

 

  • Synthesis of α-Fe2O3 nanorod for sensitive and selective detection of n-butanol
    Solid-State Electronics, 2024
    A study on the synthesis of α-Fe2O3 nanorods for selective detection of n-butanol, important for industrial and environmental applications.

 

  • Rod-Like MnMoO4 with Excellent Electrochemical Performance as Sensing Material to Detect Triethylamine
    Journal of The Electrochemical Society, 2024
    This work demonstrates the excellent electrochemical performance of rod-like MnMoO4 for triethylamine sensing, contributing to sensor performance improvement.

 

  • Improved performance of triethylamine sensors through defect formation in La-doped MoO3 nanorods
    Sensors and Actuators A: Physical, 2023
    The research focuses on enhancing the performance of triethylamine sensors by introducing defects into La-doped MoO3 nanorods.

 

W Hassan | Photogrammetry | Best Researcher Award

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Dr. W Hassan | Photogrammetry | Best Researcher Award

China University of Geosciences,China

China University of Geosciences (CUG), located in Wuhan and Beijing, China, is a prestigious institution specializing in the fields of geosciences, earth sciences, and environmental studies. Established in 1952, CUG is renowned for its research contributions in geology, mineral exploration, and natural resource management. The university offers a wide range of undergraduate, graduate, and doctoral programs, focusing on fields like geological engineering, environmental science, and geological sciences. Known for its robust research facilities and partnerships with global institutions, CUG plays a pivotal role in advancing sustainable resource management and environmental protection.

 

Professional Profiles:

Google Scholar

🎓 Education :

Master’s in Cartography and Geographic Information Engineering,Wuhan University, China | 2018–2020
Waqas specialized in areas such as spatial database management, satellite navigation, advanced cartography, remote sensing, GIS, photogrammetry, and urban planning. This program provided him with in-depth methodologies and technical expertise for spatial analysis and geospatial data management, equipping him to handle complex data-driven projects in the field.,Bachelor’s in Geography,University of Peshawar, Pakistan | 2013–2017,Majoring in statistical analysis, geology, population geography, urban and regional planning, and digital image processing, Waqas’s undergraduate studies established a solid foundation in theoretical and applied geography, laying the groundwork for his advanced GIS skills.,Postgraduate Diploma in GIS and Remote Sensing,University of Peshawar, Pakistan | 2016–2017,This diploma offered hands-on experience in remote sensing imagery analysis, road network digitization, and data plotting, utilizing tools such as ArcGIS, ERDAS Imagine, and MapInfo. The program emphasized image georeferencing and advanced mapping skills, preparing Waqas for practical challenges in geospatial data processing.

 

🏢 Experience:

Photogrammetrist/Geospatial Technician,Australia | April 2024–September 2024
Waqas gained extensive experience in photogrammetry, creating and editing deliverables for the mining sector, such as orthomosaics, DSM, DEM, and DTM. He demonstrated technical proficiency with software like CaptureOne, Photomod, Global Mapper, and Nav Processing, ensuring client deadlines were met and performing corrections for PCP and GCP data. His projects included challenging applications in railways, bridges, and coastal mapping.,Survey Engineering and Mapping Researcher,NIRGIS, China | 2020–2023,As a researcher at NIRGIS, Waqas contributed to advancements in surveying and mapping with innovative methodologies. His work included 3D building information modeling (BIM) and the development of novel surveying techniques, positioning him at the forefront of geospatial research. His contributions have been published in leading academic journals, and he collaborated extensively with industry partners.

🛠️Skills:

GIS Software: ArcGIS, QGIS, ArcGIS Pro, Agisoft Metashape, CaptureOne, Photomod, Global Mapper, MapInfo Professional, ERDAS IMAGINE.,Technical Proficiencies: Proficient in creating DEM, DSM, and DTM cartographic outputs, remote sensing, spatial analysis, urban planning, data visualization, and map digitization.,3D Modeling: Experienced in BIM, Revit, flood modeling, and environmental projects related to climate change.,Data Management: Skilled in spatial database management, metadata creation, and data transparency reporting.,Other Tools: Adobe Illustrator, AutoCAD, Microsoft Office Suite.

Research Focus :

Waqas Hassan’s research interests include surveying and mapping, urban planning, 3D building information modeling (BIM), remote sensing, and sustainable development. He has published research on innovative cartographic techniques, spatial analysis, and cutting-edge approaches to geospatial data management.

🔬Awards:

Urban Immovable Property Tax Project Leader
Awarded for leadership and precision in GPS and GIS data management, supporting urban planning and tax projects in Pakistan.,Environmental and Urban Project Excellence Award,Presented by NIRGIS, China, in recognition of Waqas’s contributions to urban and environmental mapping research that advanced surveying and,spatial analysis methods.

Conclusion:

Waqas Hassan is a well-rounded and accomplished researcher who has demonstraed excellence in his technical abilities, research contributions, and project management skills. He has proven to be a valuable asset to his field, capable of bridging academic research with real-world applications. His global experience, coupled with his innovative research and leadership capabilities, makes him a strong contender for the Best Researcher Award. With continued focus on expanding his publication record and developing funding strategies, he has the potential to further elevate his standing in the research community.

 Publications:

  • Flash flood susceptibility assessment and zonation using an integrating analytic hierarchy process and frequency ratio model for the Chitral District, Khyber Pakhtunkhwa, Pakistan
    • Authors: H Waqas, L Lu, A Tariq, Q Li, MF Baqa, J Xing, A Sajjad
    • Year: 2021
    • Citations: 100

 

  • GIS-based urban flood resilience assessment using urban flood resilience model: A case study of Peshawar city, Khyber Pakhtunkhwa, Pakistan
    • Authors: M Tayyab, J Zhang, M Hussain, S Ullah, X Liu, SN Khan, MA Baig, …
    • Year: 2021
    • Citations: 80

 

  • Forest fire monitoring using spatial-statistical and geo-spatial analysis of factors determining forest fire in Margalla Hills, Islamabad, Pakistan
    • Authors: A Tariq, H Shu, S Siddiqui, BG Mousa, I Munir, A Nasri, H Waqas, L Lu, …
    • Year: 2021
    • Citations: 67

 

  • Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan
    • Authors: R Khan, H Li, M Basir, YL Chen, MM Sajjad, IU Haq, B Ullah, M Arif, …
    • Year: 2022
    • Citations: 39

 

  • Monitoring subsidence in urban area by PSInSAR: A case study of Abbottabad City, Northern Pakistan
    • Authors: R Khan, H Li, Z Afzal, M Basir, M Arif, W Hassan
    • Year: 2021
    • Citations: 20

 

  • Enhancement of the energy performance of an existing building using a parametric approach
    • Authors: H Waqas, J Shang, I Munir, S Ullah, R Khan, M Tayyab, BG Mousa, …
    • Year: 2023
    • Citations: 13

 

  • Flood hazard zonation using an artificial neural network model: A case study of Kabul River Basin, Pakistan
    • Authors: M Saeed, H Li, S Ullah, A Rahman, A Ali, R Khan, W Hassan, I Munir, …xc
    • Year: 2021
    • Citations: 13

 

  • Artificial thermal quenching and salt crystallization weathering processes for the assessment of long-term degradation characteristics of some sedimentary rocks, Egypt
    • Authors: MMA Abdelhamid, BG Mousa, H Waqas, MA Elkotb, SM Eldin, I Munir, …
    • Journal: Minerals
    • Volume 12, Issue 11, Article 1393
    • Year: 2022
    • Citations: 4

 

  • Digital cadastral land information system for enhanced land management in Pakistan
    • Authors: H Waqas, I Munir, W Ahmed, S Yue, BG Mousa
    • Year: 2024
    • Citations: 2

 

  • An Integrated Approach for 3D Solar Potential Assessment at the City Scale
    • Authors: H Waqas, Y Jiang, J Shang, I Munir, FU Khan
    • Year: 2023
    • Citations: 2

Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

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Mr. Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

 Mr. Zubair Akhtar Mohd, Technische Hochschule Ingolstadt, Germany

Mr. Zubair Akhtar Mohd is a Research Associate at Technische Hochschule Ingolstadt, Germany, specializing in automotive engineering and artificial intelligence applications in predictive modeling and manufacturing optimization. He holds a Master’s degree in Automotive Engineering from THI and a Bachelor’s in Mechanical Engineering from Aligarh Muslim University, India. His research focuses on integrating Finite Element Analysis (FEA) with AI, using advanced machine learning algorithms like CNNs and RNNs to forecast the lifespan of electronic components. Mr. Mohd is also involved in scientific projects, data generation for materials testing, and academic teaching in CAD and simulation.

 

Professional Profiles:

 

🎓 Education :

Holds a Master’s degree in Automotive Engineering from Technische Hochschule Ingolstadt, Germany, with a GPA of 1.9, focusing on production optimization and AI in automotive systems. Bachelor’s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

 

🏢 Experience:

Currently working as a Research Associate at the Institute of Innovative Mobility, Technische Hochschule Ingolstadt, focusing on method development for predicting electronics component lifespan using deep learning. Previously employed as a working student at CADS Engineering GmbH, contributing to vehicle design and occupant protection research, and as an Industrial Engineer in India, implementing safety and efficiency improvements in manufacturing processes.

🛠️Skills:

Proficient in Python, TensorFlow, PyTorch, and Linux, with additional expertise in tools such as Git, JavaScript, and MS Office applications. Experience with HTML, CSS, and Carla, and extensive knowledge in engineering software like NX CAD, Ansys, and Tableau. Fluent in English and German at B2 level, alongside native proficiency in Hindi.

 

Research Focus :

Specialized in the integration of Finite Element Analysis (FEA) simulation data with deep learning for predictive modeling. Research includes advanced deep learning models, such as CNNs and RNNs, and generative forecasting with VQ-VAE. Emphasis on machine learning algorithms for materials inspection and automated data collection.

 

🔬Awards:

Awarded various certifications, including specialization in self-driving car technologies from the University of Toronto and advanced machine learning courses from DeepLearning.AI. Actively involved in technical leadership roles, such as Technical Coordinator for AMU’s national college fest and team leader for the American Society of Mechanical Engineers (ASME). Published work in Springer Publications on ergonomics for productivity improvement.

Conclusion:

Mr. Zubair Akhtar Mohd’s interdisciplinary skills, innovative research focus, and dedication to academia make him a deserving candidate for the Best Researcher Award. With potential to expand his publication record and increase his collaborative efforts, Mr. Mohd’s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

 Publications:

Zakir Hussain | Neural Networks | Best Researcher Award

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Dr. Zakir Hussain | Neural Networks | Best Researcher Award

Dr. Zakir Hussain, University of Baltistan, Skardu, Pakistan

Dr. Zakir Hussain is the Head of the Department of Mathematics at the University of Baltistan, Skardu, Pakistan. He holds a PhD in Fluid Mechanics from Quaid-i-Azam University, Islamabad, and has extensive expertise in data science, artificial intelligence, and computational fluid dynamics. With over 140 research publications and a significant impact factor, Dr. Hussain is an established reviewer for international journals and an active contributor to advancements in data-driven solutions, numerical simulations, and AI applications in fluid mechanics. His research and teaching emphasize machine learning, mathematical modeling, and innovative computational techniques in applied mathematics.

Summary:

Dr. Zakir Hussain exemplifies the qualities of a Best Researcher Award recipient through his extensive contributions to fluid mechanics, AI, and applied mathematics. With a solid academic background, proven research impact, and substantial publication record, he has made significant advancements in computational fluid dynamics and data science applications. His leadership role in the Department of Mathematics also underscores his commitment to fostering research and innovation within his institution and beyond.

 

Professional Profiles:

Scopus

🎓Education:

Dr. Hussain completed a PhD in Fluid Mechanics from Quaid-i-Azam University, Islamabad, followed by multiple diplomas and certifications, most recently in Data Science and Computer Aided Design In Mechanical Engineering at the National University of Sciences and Technology, Islamabad. His earlier qualifications include an MSc and MPhil in Applied Mathematics from Quaid-i-Azam University.

🏢Experience:

With over a decade in academia, Dr. Hussain currently serves as Head of the Mathematics Department at the University of Baltistan, Skardu. His roles have included lecturer positions and research associate roles at multiple institutions, with a focus on applied mathematics and fluid mechanics. He has progressively taken on more administrative responsibilities, including serving on various university committees and leading examination processes for affiliated colleges.

🛠️Skills:

Dr. Zakir Hussain possesses extensive expertise in various technical and computational techniques, including Python, MATLAB, Mathematica, ANSYS, COMSOL, and advanced numerical methods like the Keller Box and Finite Volume Method. His skills span data science, machine learning, artificial intelligence, and computational fluid dynamics, along with specific proficiencies in data visualization, image processing, and numerical simulations.

Awards :

Dr. Hussain is a highly recognized academic, having reviewed over 20 leading international journals and authored more than 141 articles, with a collective impact factor exceeding 150. His accolades include merit scholarships during both his MPhil and PhD studies, in addition to his participation in varsity athletics, representing Quaid-i-Azam University in hockey and athletic championships.

Conclusion:

Dr. Zakir Hussain’s credentials make him a suitable candidate for the Best Researcher Award, with his numerous high-impact publications, academic service, and research contributions establishing him as a leader in his field. Enhancing international collaborations and research funding opportunities would further bolster his already strong candidacy for this honor.

 

Research Focus:

Dr. Hussain’s research interests are centered on data science, artificial intelligence, and fluid dynamics, with a specific focus on machine learning, deep learning, and neural networks. His expertise includes applied mathematics in computational fluid dynamics and non-Newtonian fluid flow, numerical simulations in blood flow and boundary layer analysis, as well as innovative applications of AI in mathematical modeling and data-driven solutions in fluid dynamics.

Publications :
  • Hussain, Z., Alghamdi, M., Aslam, M. N., & Muhammad, T. (2025). Morlet-wavelet neural networks and sensitivity analysis in magnetized peristaltic flow subject to Soret–Dufour effects: An unsupervised approach. International Communications in Heat and Mass Transfer, 160, 108259.

 

  • Hussain, Z., Fazia, & Anwar, M. S. (2024). Neural network approach to investigate heat transfer in SWCNTs nanofluid within trapezoidal cavity with varied corrugated rod amplitudes. Physica Scripta, 99(10), 105257.

 

  • Hussain, Z., Alghamdi, M., Muhammad, T., & Anwar, M. S. (2024). Lid-driven effect on convective heat transfer with heated rods in a modified equilateral triangular cavity. Case Studies in Thermal Engineering, 61, 104908.

 

  • Anwar, M. S., Alam, M. M., Khan, M. A., Hussain, Z., & Puneeth, V. (2024). Generalized viscoelastic flow with thermal radiations and chemical reactions. Geoenergy Science and Engineering, 232, 212442.

 

  • Hussain, Z., Alghamdi, M., Fozia, Ali, M. R., & Aslam, M. (2023). Significance of mixed convective heat transfer model in an equilateral triangular enclosure subjected to cylindrical heated objects inside. Case Studies in Thermal Engineering, 47, 103027.

 

  • Anwar, M. S., Hussain, M., Hussain, Z., Puneeth, V., & Irfan, M. (2023). Clay-based cementitious nanofluid flow subjected to Newtonian heating. International Journal of Modern Physics B, 37(14), 2350140.

 

  • Alghamdi, M., Fatima, B., Hussain, Z., Nisar, Z., & Alghamdi, H. A. (2023). Peristaltic pumping of hybrid nanofluids through an inclined asymmetric channel: A biomedical application. Materials Today Communications, 35, 105684.

 

  • Raza, U., Anwar, M. S., Ali, H., Irfan, M., & Hussain, Z. (2023). Fixed points in n-gonal graphical b-metric spaces under contractive conditions. International Journal of Modern Physics B, 37(4), 2350039.

 

  • Anwar, M. S., Puneeth, V., Hussain, M., Hussain, Z., & Irfan, M. (2023). Heat Convection in a Viscoelastic Nanofluid Flow: A Memory Descriptive Model. Journal of Applied Nonlinear Dynamics, 12(2), 363–378.

 

  • Hussain, Z., Alshomrani, A. S., Muhammad, T., & Anwar, M. S. (2022). Entropy analysis in mixed convective flow of hybrid nanofluid subject to melting heat and chemical reactions. Case Studies in Thermal Engineering, 34, 101972.

Vahid Salarvand | Mechanical | Excellence in Research

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Dr. Vahid Salarvand | Mechanical | Excellence in Research

Researcher at Imam Khomeini International University, Iran 

Dr. Vahid Salarvand is a researcher and engineer specializing in materials engineering and metallurgy, currently pursuing a Ph.D. at Imam Khomeini International University in Iran. He holds a master’s degree in materials engineering from the same university, where he researched the synthesis and characterization of nanostructured molybdenum-nickel alloys. His professional experience includes serving as a quality control manager at Carno Ideal Arman Company (2020-2023). Dr. Salarvand has published extensively on topics such as electrocatalytic materials, corrosion performance, and hydrogen evolution reactions, and has contributed to innovations in catalyst synthesis. His technical expertise spans advanced microscopy, X-ray diffraction, additive manufacturing, and electrochemical analysis, making him a strong candidate for excellence in materials research.

 

Professional Profiles:

Scopus Profile

ORCID Profile

Google Scholar 

🎓Education:

Dr. Vahid Salarvand is currently pursuing a Ph.D. in Materials Engineering and Metallurgy at the Department of Materials Science and Engineering at Imam Khomeini International University, Iran, focusing on advanced materials and their applications. Previously, he earned his Master’s degree in the same field from the same institution (2015-2018), where his thesis focused on the synthesis and characterization of nanostructured molybdenum-nickel alloys produced via mechanical milling. He also holds a Bachelor’s degree in Mechanical Engineering with a specialization in Construction and Production from Saman Al-Hajj Technical and Vocational School, Mashhad, Iran (2013-2015).

🏢Experience:

Dr. Salarvand served as the Quality Control Manager for Carno Ideal Arman company from 2020 to 2023, where he implemented rigorous quality control measures, enhancing the standards of manufacturing and material quality. His industrial experience contributes to his practical understanding of materials science, quality assurance, and metallurgical processes, which he brings into his research work.

🛠️Skills:

Dr. Vahid Salarvand has extensive technical skills in materials synthesis, including hydrothermal methods and additive manufacturing with fused deposition modeling and digital light processing. He is proficient in light microscopy, X-ray diffraction, metallography, and heat treatment procedures. His theoretical skills encompass electrochemical impedance analysis, XRD data analysis, and electrochemical polarization studies, utilizing tools like ZView, High Score Plus Xpert, and Corr-view. Additionally, he is skilled in scientific reporting and data visualization with Origin Pro, Mendeley, and ImageJ for image analysis, supporting comprehensive material characterization and research.

Awards :

Dr. Salarvand has achieved notable recognition for his invention, entitled “NiMo-MoO2 Catalyst Synthesis Process,” which has been awarded an international classification (B01J 37.03 C22C 1.05). Additionally, he successfully conducted an industrial thesis under the supervision of the Nano Wealth Development Headquarters, showcasing his ability to bridge research and practical applications, particularly in nanotechnology and catalysis.

Research Focus:

Dr. Vahid Salarvand’s research focuses on advanced materials engineering, with a particular emphasis on the synthesis and characterization of nanostructured alloys for catalytic and energy applications. His work delves into the electrocatalytic properties of materials like NiMo-MoO₂ and nickel-cobalt selenides, optimizing their structure and performance for hydrogen evolution reactions and water-splitting processes. Additionally, Dr. Salarvand explores corrosion resistance, additive manufacturing, and the microstructural enhancement of materials, especially through laser-based powder bed fusion techniques. His research aims to develop innovative, high-performance materials for industrial and sustainable energy applications.

Publications :
  • Title: Microstructural and mechanical evaluation of post-processed SS 316L manufactured by laser-based powder bed fusion
    • Authors: H. Sohrabpoor, V. Salarvand, R. Lupoi, Q. Chu, W. Li, B. Aldwell, W. Stanley, …
    • Journal: Journal of Materials Research and Technology
    • Volume: 12
    • Pages: 210-220
    • Citations: 43
    • Year: 2021

 

  • Title: Microstructure and corrosion evaluation of as-built and heat-treated 316L stainless steel manufactured by laser powder bed fusion
    • Authors: V. Salarvand, H. Sohrabpoor, M. A. Mohammadi, M. Nazari, R. Raghavendra, …
    • Journal: Journal of Materials Research and Technology
    • Volume: 18
    • Pages: 4104-4113
    • Citations: 25
    • Year: 2022

 

  • Title: Charge storage properties of mixed ternary transition metal ferrites MZnFe oxides (M= Al, Mg, Cu, Fe, Ni) prepared by hydrothermal method
    • Authors: M. Saghafi, S. A. Hosseini, S. Zangeneh, A. H. Moghanian, V. Salarvand, …
    • Journal: SN Applied Sciences
    • Volume: 1
    • Pages: 1-16
    • Citations: 16
    • Year: 2019

 

  • Title: In-situ hydrothermal synthesis of NiCo(X)Se compound on nickel foam for efficient performance of water splitting reaction in alkaline media
    • Authors: V. Salarvand, M. A. Mohammadi, F. Ahmadian, F. R. Kouchi, M. S. Yazdi, …
    • Journal: Journal of Electroanalytical Chemistry
    • Volume: 926
    • Article ID: 116929
    • Citations: 11
    • Year: 2022

 

  • Title: Facile hydrothermal synthesis of combined MoSe2PS nanostructures on nickel foam with superior electrocatalytic properties for hydrogen evolution reaction
    • Authors: V. Salarvand, M. A. Mohammadi, A. Yousefifar, M. S. Yazdi, A. Mostafaei
    • Journal: International Journal of Hydrogen Energy
    • Volume: 48 (27)
    • Pages: 10038-10050
    • Citations: 9
    • Year: 2023

 

  • Title: Production and characterization of high-performance cobalt–nickel selenide catalyst with excellent activity in HER
    • Authors: F. Ahmadian, V. Salarvand, M. Saghafi, M. T. Noghani, A. Yousefifar
    • Journal: Journal of Materials Research and Technology
    • Volume: 15
    • Pages: 3942-3950
    • Citations: 9
    • Year: 2021

 

 

Conclusion:

Dr. Vahid Salarvand’s academic achievements, industry experience, awards, publications, and technical and theoretical skills make him a distinguished candidate for the Excellence in Research award. His contributions reflect a strong commitment to advancing materials science through both theoretical exploration and practical application, aligning well with the criteria for excellence in research.

 

Fatin Aminah Hassan | Epidemiology |Best Researcher Award

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Dr. Fatin Aminah Hassan | Epidemiology |Best Researcher Award

Dr.Fatin Aminah Hassan,National Institute of Health and Nutrition,Japan

Dr. Fatin Aminah Hassan is a distinguished researcher at the National Institute of Health and Nutrition in Japan. With a focus on public health and nutritional sciences, her work emphasizes innovative strategies to improve health outcomes and combat nutritional deficiencies. Dr. Hassan has contributed significantly to research on dietary interventions and the role of nutrition in disease prevention, positioning herself as an expert in the field. Her dedication to advancing public health through evidence-based research has made her a respected figure in global health and nutrition initiatives.

Professional Profiles:

Google Scholar

🎓Education:

Dr. Fatin Aminah Binti Hassan holds a distinguished academic background, including a Ph.D. in Technology Management from Ritsumeikan University, Japan, awarded in March 2019. Prior to her doctoral studies, she completed a Master of Economics in Financial Economics at Universiti Putra Malaysia in October 2013 and a Bachelor of Economics in Econometrics and Applied Statistics at the National University of Malaysia in September 2011. Additionally, she enhanced her expertise with a System Dynamics Summer Course at the Massachusetts Institute of Technology (MIT) in July 2017.

🏢Experience:

Currently, Dr. Hassan is a Postdoctoral Researcher at the Nutritional Epidemiology Policy Research Centre at Japan’s National Institute of Health and Nutrition. In her role, she leads projects that model the impact of salt reduction on public health, funded by Japan’s Ministry of Health. Her work involves extensive collaboration with government officials, dietitians, and researchers, and she has presented her findings at international conferences. Her past roles include Guest Lecturer at Ritsumeikan University, teaching System Dynamics, and a Research Associate at the National Institute of Technology Fukushima College. She also held positions in the insurance sector in Malaysia.

🛠️Skills:

Dr. Hassan has developed advanced technical skills in Vensim, Stella, Stata, EViews, SPSS, and Tableau, with additional proficiency in Python, SQL, R, SAS, and QGIS. Her multilingual abilities include native proficiency in Malay, with proficiency in English and Japanese (N3 level), and basic knowledge of Mandarin, Russian, and Turkish.

Awards :

Dr. Hassan’s work has earned her recognition, such as an honorable mention for the Early Career Health Paper Award at the 42nd International System Dynamics Conference in 2024. She also received 2nd and 3rd place in FALIA Life Insurance Essay Competitions in 2017 and 2016, respectively, for her insights on the life insurance sector’s economic impact in Asia.

Research Focus:

Dr. Hassan’s research interests encompass Econometrics, System Dynamics, Simulation Modeling, Data Science, Applied Economics, and Sustainable Development. Her notable projects have focused on public health interventions, specifically on the health and economic impacts of dietary salt reduction, system dynamics modeling for healthcare management, and economic modeling related to insurance and healthcare sectors in Southeast Asia.

Publications :

  • Hassan, F. A., Minato, N., Ishida, S., & Mohamed Nor, N. (2016). Social environment determinants of life expectancy in developing countries: A panel data analysis. Global Journal of Health Science, 9(5), 105.

 

  • Hassan, F. A., & Minato, N. (2018). Smartphone-based healthcare technology adoption in Malaysian public healthcare services. International Journal of Japan Association for Management Systems, 10(1), 95-104.

 

  • Hassan, F. A., & Minato, N. (2017). A system dynamics analysis of Malaysian healthcare resources. International Journal of Japan Association for Management Systems, 9(1), 61-69.

 

  • Hassan, F. A. (2022). Dynamic shocks of crude oil price and exchange rate on food prices in emerging countries of Southeast Asia: A panel vector autoregression model. Asian Journal of Economic Modelling, 10(2), 108-123.

 

  • Hassan, F. A., & Minato, N. (2019). A systems thinking analysis of healthcare supply and demand management: A case study of Malaysian public hospitals. International Journal of Japan Association for Management Systems, 11(1).

 

  • Hassan, F. A. (2022). Is life insurance crucial to society and the economy? Evidence from Asian countries both before and after the global financial crisis. Asian Development Policy Review, 10(1), 35-46.

 

  • Hassan, F. A. B. (2020). A system dynamics modelling for healthcare demand and smartphone-based technology adoption in Malaysian public hospitals. Asia-Japan Research Academic Bulletin, 1, 91.4.

 

  • Hassan, F. A. B., Minato, N., Sugiyama, T., Nishi, N., & Ikeda, N. (2024). Impacts of salt intake reduction interventions on medical and long-term care costs in Japan. Proceedings of the 2024 International System Dynamics Conference.

 

Conclusion:

Dr. Hassan’s combination of technical expertise, publication record, and active contribution to health policy research aligns well with the standards for the “Research for Best Researcher Award.” She is an asset to her institution and the broader field of health economics and epidemiology, making her a compelling nominee. While expanding her technical skills and research scope could enhance her future contributions, her current qualifications make her an outstanding candidate for this award.