Sai Huang | Wireless | Best Researcher Award

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Mr.Sai Huang | Wireless | Best Researcher Award

Mr. Sai Huang , Beijing University of Posts and Telecommunications,China

Mr. Sai Huang is a distinguished academic and researcher affiliated with the Beijing University of Posts and Telecommunications, China. His expertise lies in the fields of telecommunications and information technology, where he has made significant contributions through his research and publications. Mr. Huang is recognized for his dedication to advancing knowledge in his field and his commitment to academic excellence. His work continues to impact both the academic community and the telecommunications industry in China and beyond.

Summary:

Sai Huang is a well-established researcher with significant contributions to the fields of wireless communications, cognitive radio networks, and machine learning in signal processing. His leadership roles and IEEE senior membership reflect his deep involvement and respect in the research community. He is also a key figure in the academic and peer-review process within IEEE and other major platforms. However, there is a need for more detailed information on his personal research output and the broader impact of his work.

Professional Profiles:

Google Scholar

🎓 Education :

Sai Huang received his educational foundation from prestigious institutions, culminating in a solid academic background that has significantly contributed to his professional career. He completed his doctoral studies with a focus on Information and Communication Engineering, which laid the groundwork for his research and teaching career. His advanced education has equipped him with the expertise required to excel in his specialized field.

🏢Experience:

Sai Huang is currently serving as an Associate Professor in the Department of Information and Communication Engineering at Beijing University of Posts and Telecommunications. In addition to his teaching duties, he holds the important role of Academic Secretary at the Key Laboratory of Universal Wireless Communications, Ministry of Education, P.R. China. His role as an IEEE Senior Member is complemented by his active involvement in academic peer review. He serves as a reviewer for numerous esteemed international journals, including IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Transactions on Cognitive Communications and Networking, as well as major international conferences like IEEE ICC and IEEE GLOBECOM.

🛠️Skills:

Sai Huang is recognized for his exceptional skills in both theoretical and practical aspects of communication engineering. His expertise spans a wide range of areas including machine learning-assisted intelligent signal processing, statistical spectrum sensing and analysis, fast detection, and depth recognition of universal wireless signals. Additionally, he is proficient in millimeter wave signal processing and cognitive radio networks, demonstrating a deep understanding of both traditional and emerging communication technologies.

🔍 Research Focus:

Sai Huang’s research is centered on the intersection of machine learning and communication technologies. His work on machine learning-assisted intelligent signal processing aims to enhance the efficiency and accuracy of wireless communication systems. He is also deeply involved in statistical spectrum sensing and analysis, which is crucial for the development of advanced cognitive radio networks. His research on fast detection and depth recognition of universal wireless signals is pioneering in the field, with significant implications for the future of wireless communications. Furthermore, his expertise in millimeter wave signal processing and cognitive radio networks places him at the forefront of research in next-generation communication technologies.

🏆 Awards:

Throughout his career, Sai Huang has been acknowledged for his contributions to the field of communication engineering. As an IEEE Senior Member, he has been recognized by his peers for his professional excellence and leadership within the IEEE community. His role in advancing research and technology in wireless communications has earned him numerous accolades, further cementing his reputation as a leading expert in his field.

Conclusion:

Sai Huang is a strong candidate for the Best Researcher Award, particularly given his leadership roles, expertise in cutting-edge research areas, and his involvement in the academic review process. To further bolster his candidacy, providing more detailed evidence of his research impact, publication record, and international collaborations would be advantageous. If these areas are sufficiently demonstrated, Sai Huang would be a formidable contender for the award.

Publications :

  • Publication: “Automatic modulation classification of overlapped sources using multiple cumulants”
    Source: IEEE Transactions on Vehicular Technology
    Authors: S. Huang, Y. Yao, Z. Wei, Z. Feng, P. Zhang
    Year: 2016
    Citations: 147

 

  • Publication: “Spatial attention fusion for obstacle detection using mmwave radar and vision sensor”
    Source: Sensors
    Authors: S. Chang, Y. Zhang, F. Zhang, X. Zhao, S. Huang, Z. Feng, Z. Wei
    Year: 2020
    Citations: 140

 

  • Publication: “Beamforming and power splitting designs for AN-aided secure multi-user MIMO SWIPT systems”
    Source: IEEE Transactions on Information Forensics and Security
    Authors: Z. Zhu, Z. Chu, N. Wang, S. Huang, Z. Wang, I. Lee
    Year: 2017
    Citations: 105

 

  • Publication: “Automatic modulation classification using gated recurrent residual network”
    Source: IEEE Internet of Things Journal
    Authors: S. Huang, R. Dai, J. Huang, Y. Yao, Y. Gao, F. Ning, Z. Feng
    Year: 2020
    Citations: 100

 

  • Publication: “Automatic modulation classification using contrastive fully convolutional network”
    Source: IEEE Wireless Communications Letters
    Authors: S. Huang, Y. Jiang, Y. Gao, Z. Feng, P. Zhang
    Year: 2019
    Citations: 97

 

  • Publication: “Multitask-learning-based deep neural network for automatic modulation classification”
    Source: IEEE Internet of Things Journal
    Authors: S. Chang, S. Huang, R. Zhang, Z. Feng, L. Liu
    Year: 2021
    Citations: 91

 

  • Publication: “Automatic modulation classification using compressive convolutional neural network”
    Source: IEEE Access
    Authors: S. Huang, L. Chai, Z. Li, D. Zhang, Y. Yao, Y. Zhang, Z. Feng
    Year: 2019
    Citations: 79

 

  • Publication: “Robust designs of beamforming and power splitting for distributed antenna systems with wireless energy harvesting”
    Source: IEEE Systems Journal
    Authors: Z. Zhu, S. Huang, Z. Chu, F. Zhou, D. Zhang, I. Lee
    Year: 2018
    Citations: 58

 

  • Publication: “Identification of active attacks in Internet of Things: Joint model-and data-driven automatic modulation classification approach”
    Source: IEEE Internet of Things Journal
    Authors: S. Huang, C. Lin, W. Xu, Y. Gao, Z. Feng, F. Zhu
    Year: 2020
    Citations: 50

 

  • Publication: “Automatic modulation classification of overlapped sources using multi-gene genetic programming with structural risk minimization principle”
    Source: IEEE Access
    Authors: S. Huang, Y. Jiang, X. Qin, Y. Gao, Z. Feng, P. Zhang
    Year: 2018
    Citations: 35

 

  • Publication: “Scaling laws of unmanned aerial vehicle network with mobility pattern information”
    Source: IEEE Communications Letters
    Authors: Z. Wei, H. Wu, S. Huang, Z. Feng
    Year: 2017
    Citations: 33

 

  • Publication: “Energy efficiency characterization in heterogeneous IoT system with UAV swarms based on wireless power transfer”
    Source: IEEE Access
    Authors: Y. Yao, Z. Zhu, S. Huang, X. Yue, C. Pan, X. Li
    Year: 2019
    Citations: 29

 

  • Publication: “A hierarchical classification head based convolutional gated deep neural network for automatic modulation classification”
    Source: IEEE Transactions on Wireless Communications
    Authors: S. Chang, R. Zhang, K. Ji, S. Huang, Z. Feng
    Year: 2022
    Citations: 28

 

Mr. Bilal Iqbal Ayubi |design|Best Researcher Award

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Mr. Bilal Iqbal Ayubi |design|Best Researcher Award

Mr. Bilal Iqbal Ayubi,Shandong university, China

Bilal Iqbal Ayubi is a scholar at Shandong University in China, where he is engaged in advanced research. His work is contributing to the field, and he is recognized for his dedication and academic achievements within the university.

Summary:

Mr. Bilal Iqbal Ayubi is a strong candidate for the Best Researcher Award, given his significant contributions to the field of Electrical Engineering, particularly in High-Frequency Insulation and Discharge Mechanisms. His research is well-regarded in the academic community, as evidenced by his publications and the recognition he has received. His expertise in a critical area of study, combined with his collaborative abilities and professional recognition, make him a valuable asset to the field.

Professional Profiles:

🎓 Education :

Bilal Iqbal Ayubi is currently a Doctor of Philosophy candidate in Electrical Engineering at Shandong University, where he is awaiting his dissertation defense. His academic journey also includes a Level 7 Postgraduate Diploma in Electrical Engineering from City & Guilds London. His education has provided a robust foundation in advanced electrical engineering concepts, which he continues to expand through his research endeavors.

🏢 Experience:

Ayubi has an extensive research portfolio, with several publications in prestigious journals. His research includes exploring partial discharge transformation characteristics in polyimide insulations under high-frequency stress, and the mechanisms of atomic oxygen erosion protection for Kapton-type polyimide. He has also contributed to the development of a four-factor lifetime estimation model for polyimide insulations and investigated the suppression of particle movement and discharge using nanocomposite film coatings on DC GIL electrode surfaces. His work has been recognized and published in journals like Polymers, IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, and IET Generation, Transmission & Distribution.

🛠️Skills:

Ayubi’s skill set includes advanced knowledge in high-frequency electrical insulation, partial discharge mechanisms, molecular dynamics simulations, and the application of design of experiment methods. His technical expertise is complemented by his ability to conduct complex research, analyze data, and contribute to the development of innovative solutions in the field of electrical engineering.

🔬Awards and Achievements:

Ayubi’s contributions to the field have earned him recognition, including the Wiley Outstanding Author of the Year award. This distinction highlights his commitment to advancing knowledge in electrical engineering through rigorous research and publication.

Research Focus:

Ayubi’s research primarily centers on High-Frequency Insulation, with a specific focus on Polyimide (PI) materials and Discharge Mechanisms. His work delves into the intricate behavior of polyimide insulations under high-frequency electric stress, contributing valuable insights into the materials’ properties and performance. His studies aim to enhance the reliability and efficiency of electrical insulation systems, particularly in high-frequency applications.

Conclusion:

Mr. Ayubi’s candidacy for the Best Researcher Award is compelling due to his focused research contributions, strong publication record, and professional achievements. While there are areas for potential growth, particularly in expanding his research focus and increasing his leadership roles, his current accomplishments make him a deserving candidate for the award. Recognizing Mr. Ayubi with this award would not only honor his past achievements but also encourage further advancements in his promising career.

Publications :

  • Mechanism Analysis and Potential Applications of Atomic Oxygen Erosion Protection for Kapton-Type Polyimide Based on Molecular Dynamics Simulations
    • Authors: Zhou, S.; Zhang, L.; Zou, L.; Ayubi, B.I.; Wang, Y.
    • Source: Polymers, 2024, 16(12), 1687.

 

  • A Four Factor Lifetime Estimation Model of Polyimide (PI) Insulations Using Full Factorial Design of Experiment Method (DOE)
    • Authors: Ayubi, B.I.; Li, Z.; Shengrui, Z.; Yiwei, W.; Liang, Z.
    • Source: IEEE Transactions on Dielectrics and Electrical Insulation, 2024, 31(2), pp. 844–851.

 

  • Reactive Molecular Dynamics of Atomic Oxygen Bombardment on Polyimide under Electric Field
    • Authors: Zhou, S.; Zhang, L.; Zou, L.; Wang, Y.; Ayubi, B.I.
    • Source: Proceedings of 2024 IEEE 7th International Electrical and Energy Conference (CIEEC), 2024, pp. 1562–1565.

 

  • Fuzzy Logic Approach for Lifetime Estimation of Polyimide (PI) Insulations Used at High-Frequency
    • Authors: Ayubi, B.I.; Li, Z.; Yiwei, W.; Shengrui, Z.; Liang, Z.
    • Source: Lecture Notes in Electrical Engineering, 2024, 1101, pp. 483–492.

 

  • Evolution Characteristics of Surface Discharge along Polyimide under High-Frequency Electric Stress
    • Authors: Ayubi, B.I.; Li, Z.; Huangkuan, X.; Chenlu, F.; Liang, Z.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38(5), pp. 1177–1189.

 

  • Study on Temperature-Frequency Partial Discharge Characteristics of Polyimide under High Frequency Electrical Stress Based on Improved Variational Modal Decomposition Denoising
    • Authors: Xu, H.; Zhang, L.; Ayubi, B.I.; Zou, L.; Wang, G.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38(3), pp. 565–576.

 

  • Surface Discharge Characteristics and Influencing Factors of Polyimide Insulations under High-Frequency Sinusoidal Voltages
    • Authors: Ayubi, B.I.; Zhang, L.; Xu, H.; Yan, Q.
    • Source: IET Generation, Transmission and Distribution, 2022, 16(5), pp. 1000–1012.

 

  • Equilibrium Optimizer-Based Variational Mode Decomposition Method for Partial Discharge Denoising
    • Authors: Huangkuan, X.; Xiaohui, Z.; Xu, J.; Ayubi, B.I.; Li, Z.
    • Source: 2022 4th International Conference on Smart Power and Internet Energy Systems (SPIES), 2022, pp. 1289–1294.

 

  • A Multi-physical Field Coupling Model and Analysis of Partial Discharge on PI Insulations under High-frequency Voltages
    • Authors: Iqbal Ayubi, B.; Li, Z.; Huangkuan, X.; Chenlu, F.
    • Source: 2022 4th International Conference on Smart Power and Internet Energy Systems (SPIES), 2022, pp. 69–75.

 

  • Study on the Electrodynamic Behavior of Linear Metal Particles in DC Gas Insulated Transmission Line
    • Authors: Cheng, H.; Wei, W.; Ayubi, B.L.; Sun, Y.; Zhang, L.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36(24), pp. 5283–5293.

 

 

 

 

 

 

Sergio Sousa| Quality Control | Best Researcher Award

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Prof . Sergio Sousa| Quality control | Best Researcher Award

Prof. Sergio Sousa,University of Minho, Portugal

Professor Sergio Sousa is a distinguished academic at the University of Minho in Portugal. With a strong background in industrial engineering and management, he has made significant contributions to research and education in his field. Prof. Sousa specializes in operations management, production systems, and lean manufacturing, focusing on improving efficiency and innovation in industrial processes

Summary:

Prof. Sergio Sousa is a strong candidate for the Best Researcher Award, given his extensive background in quality management, his consistent academic contributions, and the multiple awards recognizing his research excellence. His work in performance measurement systems and Total Quality Management is particularly noteworthy, and his role as a mentor and active participant in the research community further enhances his suitability for the award.

Professional Profiles:

Scopus

🎓 Education :

Sérgio Sousa holds a Ph.D. in Manufacturing and Mechanical Engineering, with a focus on “Quality Improvement Measures in SMEs,” from the University of Birmingham, UK (2001-2005). He also earned a Master of Science degree in Electrical and Computer Engineering, majoring in Systems, from the University of Porto, Portugal (1996-1999). His foundational education includes a D. Eng. degree (equivalent to a pre-Bologna 5-year Licenciatura) in Electrical and Computer Engineering, specializing in Informatics and Systems, also from the University of Porto (1991-1996).

🏢 Experience:

Currently, Sérgio Sousa serves as an Assistant Professor with Tenure in the Systems Engineering and Industrial Processes disciplinary area at the Production and Systems Department (DPS), School of Engineering, University of Minho, Portugal. He has been in this role since 2010. He is also a Research Member of the Algoritmi Research Centre, contributing to the Industrial Engineering and Management (IEM) group since 2014. His responsibilities extend to being a member of the Council of the DPS at the School of Engineering, University of Minho. In his academic career, he has supervised numerous Ph.D. and MSc students, coordinated and participated in over 50 projects in the quality engineering domain, and held various administrative roles, including serving on the Executive Steering Committee of the DPS and the Pedagogic Council of the School of Engineering.

🛠️Skills:

Sérgio Sousa possesses a robust skill set in Total Quality Management (TQM) and Performance Measurement Systems. His expertise extends to Lean Six Sigma, Quality Engineering, and Management, with a particular emphasis on applying these methodologies to SMEs. His academic and professional experience has equipped him with advanced skills in research, quality assessment, accreditation in higher education, and the ability to lead and manage large-scale projects in collaboration with international teams. Additionally, he is proficient in supervising research and coordinating academic programs, such as the Master’s course in Quality Engineering and Management at the University of Minho.

🔬Awards:

Throughout his career, Sérgio Sousa has garnered numerous prestigious awards, reflecting his significant contributions to the field. Notable recognitions include the Best Paper Award at the 49th International Conference on Computers & Industrial Engineering in Beijing, China (2019), and the Outstanding Paper Award in the 2016 Emerald Literati Network Awards for Excellence. He has also received multiple Certificates of Merit from the International Association of Engineers (IAENG) for his contributions to various international conferences. His accolades underscore his standing as a leading expert in quality management and performance measurement systems.

Research Focus:

Sérgio Sousa’s research primarily revolves around Total Quality Management (TQM) and Performance Measurement Systems, with a particular focus on their application in SMEs. His work aims to enhance quality control strategies, optimize performance measurement under uncertainty, and prioritize quality problems in small and medium-sized enterprises. His research has led to over 80 indexed publications in peer-reviewed journals and international conferences, contributing significantly to the academic and practical advancements in TQM. His work has been widely cited, with over 1500 Google Scholar citations and more than 550 Scopus citations, underscoring the impact and relevance of his research in the field.

Conclusion:

Prof. Sousa’s significant contributions to quality engineering and industrial management, coupled with his strong academic and research background, make him a deserving candidate for the Best Researcher Award. His ability to bridge theoretical research with practical applications in SMEs is a standout feature of his work. To further strengthen his candidacy, a broader research focus and enhanced interdisciplinary collaborations could be considered. Overall, Prof. Sousa exemplifies the qualities of an outstanding researcher, making him a strong contender for the award.

Publications :

  • Publication: Performance measures in English small and medium enterprises: survey results
    Authors: SD Sousa, EM Aspinwall, A Guimarães Rodrigues
    Source: Benchmarking: an international journal
    Year: 2006

 

  • Publication: Performance measures and quality tools in Portuguese small and medium enterprises: survey results
    Authors: SD Sousa, E Aspinwall, PA Sampaio, AG Rodrigues
    Source: Total Quality Management and Business Excellence
    Year: 2005

 

  • Publication: Development of a performance measurement framework for SMEs
    Authors: S Sousa, E Aspinwall
    Source: Total Quality Management
    Year: 2010

 

  • Publication: Application of lean production principles and tools for quality improvement of production processes in a carton company
    Authors: C Roriz, E Nunes, S Sousa
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: The 8D methodology: an effective way to reduce recurrence of customer complaints
    Authors: CA Riesenberger, SD Sousa
    Source: Proceedings of the World Congress on Engineering
    Year: 2010

 

  • Publication: Developing dashboards for SMEs to improve performance of productive equipment and processes
    Authors: S Vilarinho, I Lopes, S Sousa
    Source: Journal of Industrial Information Integration
    Year: 2018

 

  • Publication: Application of SPC and quality tools for process improvement
    Authors: S Sousa, N Rodrigues, E Nunes
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: Design procedure to develop dashboards aimed at improving the performance of productive equipment and processes
    Authors: S Vilarinho, I Lopes, S Sousa
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: Prioritizing quality problems in SMEs: A methodology
    Authors: HN Teixeira, I Lopes, S Sousa
    Source: The TQM Journal
    Year: 2015

 

  • Publication: Using project six sigma and lean concepts in internal logistics
    Authors: DSL Antunes, S Sousa, EP Nunes
    Source: Newswood Limited Publisher
    Year: 2013

 

  • Publication: The impact of ISO 9001: 2015 on ISO 22000 and food safety management systems (FSMS)
    Authors: MM Silva, LM Fonseca, SD Sousa
    Source: Calitatea
    Year: 2016

 

  • Publication: Measuring and managing operational risk in industrial processes
    Authors: S Sousa, E Nunes, I Lopes
    Source: FME Transactions
    Year: 2015

 

Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

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Prof Dr. Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

Prof Dr. Venkata Lakshmi,VIT-AP University, Andhra Pradesh,India

Prof. Dr. Venkata Lakshmi is a distinguished academician and researcher at VIT-AP University in Andhra Pradesh, India. With a strong background in her field, she has made significant contributions to research and education, mentoring students and collaborating on innovative projects. Her work is recognized both nationally and internationally, making her a prominent figure in her academic community.

Summary:

Prof. Dr. Venkata Lakshmi is a highly qualified candidate with a robust academic background, significant teaching experience, and a strong record of mentoring PhD students. Her dual PhDs in CSE and Mathematics, coupled with over 25 years of academic service, make her a strong contender for the Best Researcher Award. She has demonstrated a commitment to both teaching and research, with recognized achievements in both areas.

Professional Profiles:

Orcid

🎓 Education :

With an impressive academic background, the candidate holds two PhDs—one in Computer Science and Engineering (CSE) from Vellore Institute of Technology University, Chennai Campus (2023), and another in Mathematics from Central University of Hyderabad (2008). Additionally, they completed an MTech in CSE from Acharya Nagarjuna University, Guntur (2010), and an M.Phil. in Mathematics from Central University of Hyderabad (1994-1995). Their educational journey began with a B.Sc. in Mathematics, Physics, and Chemistry (M.P.C) from Acharya Nagarjuna University (1988-1991), followed by an M.Sc. in Mathematics, where they secured the University Second Rank (1991-1993).

🏢Teaching Experience:

The candidate has accumulated over two decades of teaching experience in various academic roles. They began their teaching career as a Lecturer in the Department of Mathematics at Bapatla College for Women (1993-1994) and Bapatla College of Arts and Sciences (1995-1996). They then served at Bapatla Engineering College, first as a Lecturer (1996-2008) and later as an Associate Professor (2008-2009). From 2009 to 2019, they held the position of Vice-Principal at Bapatla Women’s Engineering College, while on deputation from Bapatla Engineering College. The candidate returned to Bapatla Engineering College as an Associate Professor (2019-2021) before transitioning to their current role as a Professor at the School of Computer Science and Engineering, VIT AP University, Andhra Pradesh, since June 2021.

🛠️Skills:

The candidate possesses a diverse skill set, including expertise in Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their research and teaching proficiency span both Mathematics and Computer Science, with a strong foundation in both theoretical and applied aspects of these fields.

🔬Awards and Achievements:

Throughout their career, the candidate has been recognized for their academic excellence and contributions to research. Notably, they received the Research Award for Publications in Engineering & Advanced Sciences in the academic year 2023-24. Their achievements also include a Silver Medal for outstanding performance in Mathematics during their B.Sc., the Mathematical Sciences Trust Society Prize for securing the top position in M.Sc. (Pure Mathematics) at the University of Hyderabad in 1992, and a Silver Medal for securing the third rank in the Mathematical Olympiad at the postgraduate level, sponsored by the Andhra Pradesh Association of Mathematics Teachers in 1992.

Research Focus:

The candidate’s research focus spans across multiple areas, including Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their PhD dissertations reflect their deep engagement with these subjects, with their Mathematics dissertation titled “On Vector Valued Amalgam Spaces” and their CSE dissertation titled “Self-replicability of Graphs through Graph Reproduction System.”

Conclusion:

Prof. Dr. Venkata Lakshmi is well-suited for the Best Researcher Award, particularly given her multidisciplinary expertise and extensive teaching and mentorship experience. However, enhancing her publication record with more detailed metrics, expanding interdisciplinary research efforts, and increasing international exposure could further solidify her standing as an outstanding researcher. With these improvements, she would not only be a deserving recipient but also a model researcher with global impact.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Xiao Jiang | Medical | Best Researcher Award

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 Dr.Xiao Jiang | Medical | Best Researcher Award

 Dr. Xiao Jiang, Liaocheng University,China

Dr. Xiao Jiang is a distinguished academic at Liaocheng University, China, where he specializes in With a robustDr. Jiang has made significant contributions to [mention notable research, publications, or projects]. His work is recognized for advancing understanding in His research continues to influence

Summary:

Dr. Xiao Jiang is a promising candidate for the Best Researcher Award, with a strong academic background and an impressive portfolio of research achievements. His work in developing innovative methods for brain network analysis and cognitive impairment identification stands out for its technical sophistication and contribution to the field. His leadership in securing and managing significant research projects further demonstrates his capabilities as a researcher.

Professional Profiles:

Scopus

🎓 Education :

Xiao Jiang earned his Ph.D. in Computer Science and Mathematics from the University of Camerino, Italy (October 2020 – June 2024). Prior to that, he completed his Master’s in System Science at Liaocheng University (September 2016 – June 2019) and his Bachelor’s in Mathematics and Applied Mathematics at the same institution (September 2012 – June 2016).

🏢Research Projects:

Brain Function Data Visualization and Classification Learning: Funded by the National Natural Science Foundation of China (Project Approval Number: 62176112, January 2022 – December 2025).,High-Order Regularization Framework for Functional Brain Image Learning and Its Application Research: Funded by the National Natural Science Foundation of China (Project Approval Number: 61976110, January 2020 – December 2023).

🛠️Research Achievements:

Jiang, X., Zhang, L., Qiao, L., Shen, D. (2020). “Estimating Functional Connectivity Networks via Low-rank Tensor Approximation with Applications to MCI Identification.” IEEE Transactions on Biomedical Engineering, 67(7), 1912-1920.,Jiang, X., Qiao, L., De Leone, R., Shen, D. (2022). “Joint Selection of Brain Network Nodes and Edges for MCI Identification.” Computer Methods and Programs in Biomedicine, 225, 107082.,Jiang, X., Wang, G., Zhang, L., Xi, X., De Leone, R., Qiao, L. (2024). “Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment.” Biomedical Signal Processing and Control, 98, 106766.,Jiang, X., Zhou, Y., Zhang, Y., Zhang, L., Qiao, L., De Leone, R. (2022). “Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification.” Frontiers in Neuroscience, 16, 872848.

🔬 Research Focus:

Xiao Jiang’s research interests lie at the intersection of Medical Image Analysis, Graph Data Mining, and Machine Learning Applications. His work predominantly explores innovative approaches to functional connectivity networks, brain network analysis, and cognitive impairment identification. Notable projects include estimating functional brain networks for MCI identification and developing label-guided low-rank approximations for brain network learning.

Conclusion:

Given Dr. Jiang’s outstanding research achievements, his technical expertise, and his contribution to advancing the understanding of brain functionality and cognitive disorders, he is a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, expanding the interdisciplinary and practical applications of his research would enhance his impact in both the academic and clinical communities.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Nai-Chang Yeh | applications | Best Researcher Award

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Prof. Nai-Chang Yeh | applications | Best Researcher Award

Prof. Nai-Chang Yeh , California Institute of Technology, United States

Prof. Nai-Chang Yeh is a distinguished physicist at the California Institute of Technology (Caltech) in the United States. She is renowned for her pioneering work in experimental condensed matter physics, particularly in the study of quantum materials and nanoscience. Prof. Yeh has made significant contributions to understanding high-temperature superconductors, topological materials, and nanoscale phenomena. Her research has led to numerous advancements in the field, bridging the gap between fundamental science and practical applications. In addition to her research, Prof. Yeh is highly regarded as an educator and mentor, inspiring the next generation of scientists.

Summary:

Ana Carretero Pérez is a passionate and skilled engineer with a multidisciplinary approach to bioengineering and electronics. Her research on energy harvesting and EEG pattern detection, combined with practical experience in firmware development, positions her as a strong candidate for the Best Researcher Award. Her contributions are impactful, and her academic roles demonstrate her commitment to advancing her field.

Professional Profiles:

ORCID

Scopus

🎓 Education :

Dr. Nai-Chang Yeh earned his Ph.D. in Physics from the Massachusetts Institute of Technology, Cambridge, MA, USA, on February 17, 1988. Prior to this, he completed his B.Sc. in Physics at National Taiwan University, Taipei, Taiwan, Republic of China, on June 11, 1983.

🏢 Experience:

Dr. Yeh’s extensive experience includes prestigious roles and positions such as Highlight Yushan Fellow at the Ministry of Education, Taiwan (2022-2025), and Yushan Fellow Distinguished Professor at National Taiwan Normal University, Taipei, Taiwan (2022-2025). He has held various visiting professorships, including Distinguished Visiting Professor of Physics at Shanghai University (2019), Visiting Chair Professor of Materials Science at National Central University, Taiwan (2017-2018), and Eminent Visiting Professor at Universiti Brunei Darussalam (2014). His past roles also include serving as a Visiting Chair Professor at the Center for Nano and Micro Mechanics, Tsinghua University, Beijing, China (2012-2014).

🛠️ Skills:

Dr. Yeh’s skills encompass advanced condensed matter physics, with a focus on quantum field theory, many-body systems, and nanomaterials. He is proficient in the application of formal quantum field theory and group theory methods to various physical systems. His expertise extends to the development and characterization of advanced nanomaterials, particularly graphene and transition metal dichalcogenides, with applications in flexible electronics and high-frequency circuits.

🏆 Awards:

Dr. Yeh’s remarkable achievements are highlighted by his election as Academician of Academia Sinica, Taiwan (2024), and recognition as a Highlight Yushan Fellow (2022-2025). He has received several notable awards, including the Wu Chien-Shiung Distinguished Lectureship Award (2012), the Scientific & Technological Accomplishment Papers Award (2009), and the David and Lucile Packard Fellowship for Science and Engineering (1992-1997). Additionally, he has been honored with fellowships from the American Association for the Advancement of Science (2007) and the American Physical Society (2004).

🔬 Research Focus:

Dr. Yeh’s research focuses on the synthesis and application of advanced nanomaterials, particularly graphene and two-dimensional materials. His work includes scalable synthesis methods for semiconducting materials, development of interfacial graphene for high-frequency circuits, and innovative approaches to flexible hybrid electronics. His research is supported by various grants and includes significant contributions to quantum information, nanofabrication, and strain-engineered semiconductors.

Conclusion:

Ana Carretero Pérez’s blend of research experience, practical engineering skills, and academic involvement makes her a well-rounded candidate for the Best Researcher Award. With a few enhancements in publication impact and broader recognition, she could further solidify her standing as a leading researcher in her field.

Publications :

  • Publication: Materials Chemistry and Physics
    Source: “A perspective of recent advances in PECVD-grown graphene thin films for scientific research and technological applications”
    Authors: Lu, C.-H., Hao, D., Yeh, N.-C.
    Year: 2024

 

  • Publication: Physical Review B
    Source: “Phonon and defect mediated quantum anomalous Hall insulator to metal transition in magnetically doped topological insulators”
    Authors: Park, A., Llanos, A., Lu, C.-I., Wang, K.L., Yeh, N.-C.
    Year: 2024

 

  • Publication: Advanced Science
    Source: “Dramatically Enhanced Valley-Polarized Emission by Alloying and Electrical Tuning of Monolayer WTe2xS2(1-x) Alloys at Room Temperature with 1T′-WTe2-Contact”
    Authors: Lin, W.-H., Li, C.-S., Wu, C.-I., Atwater, H.A., Yeh, N.-C.
    Year: 2024

 

  • Publication: Advanced Materials Interfaces
    Source: “Feasibility and Structural Transformation of Electrodeposited Copper Foils for Graphene Synthesis by Plasma-Enhanced Chemical Vapor Deposition: Implications for High-Frequency Applications”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2024

 

  • Publication: ACS Applied Nano Materials
    Source: “Graphene on Nanoscale-Thick Au Films: Implications for Anticorrosion in Smart Wearable Electronics”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2022

 

  • Publication: ACS Applied Materials and Interfaces
    Source: “Low-Temperature Direct Growth of Nanocrystalline Multilayer Graphene on Silver with Long-Term Surface Passivation”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2022

 

  • Publication: Looking Beyond the Frontiers of Science: Dedicated to the 80th Birthday of K.K. Phua
    Source: “A Generous Giant – Professor K.K. Phua”
    Author: Yeh, N.-C.
    Year: 2022

 

  • Publication: Advanced Materials
    Source: “Electrically Tunable and Dramatically Enhanced Valley-Polarized Emission of Monolayer WS2 at Room Temperature with Plasmonic Archimedes Spiral Nanostructures”
    Authors: Lin, W.-H., Wu, P.C., Akbari, H., Yeh, N.-C., Atwater, H.A.
    Year: 2022

 

  • Publication: ACS Applied Materials and Interfaces
    Source: “Polymer-Compatible Low-Temperature Plasma-Enhanced Chemical Vapor Deposition of Graphene on Electroplated Cu for Flexible Hybrid Electronics”
    Authors: Lu, C.-H., Leu, C.-M., Yeh, N.-C.
    Year: 2021

 

Hussein Dalfi | Materials | Best Paper Award

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Assist Prof Dr.Hussein Dalfi | Materials | Best Paper Award

Assist Prof Dr. Hussein Dalfi, University of Wasit, Iraq

Assist. Prof. Dr. Hussein Dalfi is a distinguished academic at the University of Wasit, Iraq. With a focus on [insert field of expertise], Dr. Dalfi has made significant contributions to his field through both research and teaching. He is recognized for his dedication to advancing knowledge and fostering academic growth within the university and the broader academic community. Dr. Dalfi continues to play a pivotal role in shaping the next generation of scholars in Iraq.

Summary:

Assist. Prof. Dr. Hussein Dalfi has established himself as a leading researcher in the field of material engineering, with a particular focus on polymer composites and textile preforms. His research is characterized by its scientific depth, interdisciplinary approach, and high-quality publications. Dr. Dalfi’s contributions are well-recognized, both in academia and in his role as a journal reviewer, positioning him as a strong candidate for the Best Paper Award.

Professional Profiles:

Scopus

🎓 Education :

Dr. Dalfi holds a Ph.D. in Material Engineering from the School of Materials at the University of Manchester, awarded in 2018. His doctoral research contributed significantly to the understanding of polymer composites, particularly in toughening mechanisms through hybridization and fiber architecture. Prior to his Ph.D., Dr. Dalfi completed his B.Sc. and M.Sc. degrees in Material Engineering from Babylon University in 1998 and 2002, respectively, laying a strong foundation for his future academic pursuits.

🏢 Experience:

Dr. Hussein Dalfi is a seasoned academic and researcher in the field of Material Engineering, currently serving as a lecturer at the Mechanical Department, College of Engineering, Wasit University. His extensive experience spans over two decades, beginning with his appointment at Wasit University in 2006. Dr. Dalfi’s academic journey commenced with a B.Sc. and M.Sc. in Material Engineering from Babylon University in 1998 and 2002, respectively. He later pursued a Ph.D. at the University of Manchester, where he focused on polymer composites. Dr. Dalfi’s teaching and research career has been marked by his commitment to advancing knowledge in material science and engineering, particularly in the areas of polymer composites, textile preforms, and mechanical properties of materials.

🛠️ Skills:

Dr. Dalfi possesses a robust skill set in material engineering, with expertise in the following areas:,Polymer Composite Toughening: Specializes in toughening mechanisms using hybridization and fiber architecture to enhance damage tolerance in composite laminates.,Textile Preform Manufacturing: Proficient in producing various textile preforms, including UD, 2D, and 3D structures, and investigating their behavior.,Mechanical Properties Analysis: Experienced in evaluating the mechanical properties of textile composite materials, focusing on flexural strength, damage tolerance, and performance under impact loading.,Microscopy and SEM Analysis: Skilled in characterizing and detecting damage failures using both destructive and non-destructive methods, including optical microscopy and Scanning Electron Microscopy (SEM).,Composite Material Processing: Expertise in composite material manufacturing, particularly using the vacuum bagging process, and balancing in-plane properties with impact resistance.

🏆 Awards:

Dr. Dalfi has been recognized for his contributions to material engineering and his innovative research in polymer composites. Although specific awards are not listed, his extensive publication record and involvement as a reviewer for numerous prestigious journals highlight his standing in the academic community. Dr. Dalfi’s work has been instrumental in advancing the understanding of composite materials and their applications in various engineering fields.

🔬 Research Focus:

Dr. Dalfi’s research is primarily focused on the toughening of polymer composites through hybridization and fiber architecture. His goal is to develop advanced polymer composites with controllable morphologies and properties, suitable for a variety of applications including healthcare, energy, and general engineering. His research adopts a holistic approach, encompassing yarn-level hybridization, fabric weaving, and the functionalization of composites through quasi-static and dynamic testing. Dr. Dalfi’s current research topics include the manufacturing of textile preforms, the investigation of their mechanical properties, and the damage tolerance of textile composite laminates. He is also deeply involved in characterizing damage failures using various scanning techniques and tailoring composite performance to balance in-plane properties with impact loading.

Conclusion:

Given his extensive research contributions, innovative approach to polymer composite toughening, and active role in the scientific community, Assist. Prof. Dr. Hussein Dalfi is well-suited for the Best Paper Award. His work not only advances the understanding of composite materials but also holds significant potential for practical applications across various industries. While there are opportunities for further specialization and innovation, Dr. Dalfi’s current achievements make him a commendable candidate for this recognition.

Publications :

  • Intra-laminar toughening mechanisms to enhance impact damage tolerance of 2D woven composite laminates via yarn-level fiber hybridization and fiber architecture
    • Source: Polymer Composites
    • Year: 2019
    • Authors: H. Dalfi, K.B. Katnam, P. Potluri

 

  • Towards balancing in-plane mechanical properties and impact damage tolerance of composite laminates using quasi-UD woven fabrics with hybrid warp yarns
    • Source: Composite Structures
    • Year: 2019
    • Authors: K.B. Katnam, H. Dalfi, P. Potluri

 

  • Investigation of the impact and post-impact behaviour of glass and glass/natural fibre hybrid composites made with various stacking sequences: Experimental and theoretical analysis
    • Source: Journal of Industrial Textiles
    • Year: 2022
    • Authors: E. Selver, H. Dalfi, Z. Yousaf

 

  • The role of hybridisation and fibre architecture on the post-impact flexural behaviour of composite laminates
    • Source: Journal of Composite Materials
    • Year: 2021
    • Authors: H. Dalfi, K. Babu-Katnum, P. Potluri, E. Selver

 

  • The influence of the inter-ply hybridisation on the mechanical performance of composite laminates: Experimental and numerical analysis
    • Source: Science Progress
    • Year: 2021
    • Authors: H. Dalfi, A.J. Al-Obaidi, H. Razaq

 

  • Effect of twist level on the mechanical performance of S-glass yarns and non-crimp cross-ply composites
    • Source: Journal of Industrial Textiles
    • Year: 2021
    • Authors: H.K. Dalfi, M. Tausif, Z. Yousaf

 

  • Improving the mechanical performance and impact damage tolerance of glass composite laminates via multi-scales of hybridisation
    • Source: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications
    • Year: 2022
    • Authors: H. Dalfi

 

  • Effect of intra-yarn hybridisation and fibre architecture on the impact response of composite laminates: Experimental and numerical analysis
    • Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
    • Year: 2022
    • Authors: H. Dalfi

 

  • Influence of yarn hybridisation and fibre architecture on the compaction response of woven fabric preforms during composite manufacturing
    • Source: Journal of Industrial Textiles
    • Year: 2022
    • Authors: H.K. Dalfi, Z. Yousaf, E. Selver, P. Potluri

 

  • Improving the impact resistance and damage tolerance of fibre reinforced composites: A review
    • Source: Journal of Composite Materials
    • Year: 2023
    • Authors: H.K. Dalfi, K. Jan, Z. Yousaf, M. Peerzada

 

  • Optimization of the mechanical performance and damage failure characteristics of laminated composites based on fiber orientation
    • Source: Frontiers of Structural and Civil Engineering
    • Year: 2023
    • Authors: H. Dalfi, A. Al-Obaidi, A. Tariq, H. Razzaq, R. Rafiee

 

  • Enhancing the mechanical performance of notched glass/epoxy composite laminates via hybridisation with thermoplastic fibres
    • Source: Journal of Composite Materials
    • Year: 2023
    • Authors: E. Selver, H.K. Dalfi, P. Potluri

 

  • Original Manuscript SCIENCE PROGRESS
    • Source: Science Progress
    • Year: 2021
    • Authors: H. Dalfi, A.J. Al-Obaidi, H. Razaq

 

Ana Carretero Pérez | Health engineering | Best Researcher Award

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Ms.Ana Carretero Pérez | Health engineering | Best Researcher Award

Ms. Ana Carretero Pérez, Universidad Politécnica de Madrid, Spain

Ms. Ana Carretero Pérez is a distinguished academic at the Universidad Politécnica de Madrid in Spain, where she is recognized for her expertise in [specific field, if known]. With a robust background in [mention relevant research or teaching areas], Ms. Carretero Pérez has contributed significantly to [briefly mention notable achievements or projects]. Her work has been instrumental in advancing [specific research or field], and she continues to influence the academic and professional community through her dedication and innovative approach.

Summary:

Ana Carretero Pérez is a passionate and skilled engineer with a multidisciplinary approach to bioengineering and electronics. Her research on energy harvesting and EEG pattern detection, combined with practical experience in firmware development, positions her as a strong candidate for the Best Researcher Award. Her contributions are impactful, and her academic roles demonstrate her commitment to advancing her field.

Professional Profiles:

ORCID

Scopus

🎓 Education :

Doctorate in Electronic Systems Engineering (PhD student)
Universidad Politécnica de Madrid, 2019 – present
Research focuses on pattern detection in EEG with low resources and computational cost, including PCB development, Matlab Simulink, Python, and pattern algorithms.,Academic Tutor
Universidad Politécnica de Madrid, 2018 – present,Supervised 3 master’s theses and 2 end-of-degree projects, including the development of a low-cost wireless prosthetic arm and an electronic system for monitoring people’s parameters.,Master in Telecommunication Engineering | Bioengineering,Universidad Politécnica de Madrid, 2015 – 2018,Bachelor of Engineering in,Telecommunication Technologies and Services | Electronics,Universidad Politécnica de Madrid, 2011 – 2015

🏢 Experience:

Electronic Engineer,Securitas Direct Verisure, 2021 – present,Firmware engineer specializing in alarm logic development using C++,Researcher Engineer,B105 Electronic Systems Lab, Universidad Politécnica de Madrid, 2018 – 2020,Conducted research on energy harvesting techniques and power management for autonomous devices, resulting in a published MDPI article. Developed a PCB using Altium, C embedded, Eclipse, Cube, RTOS, Git, and SolidWorks. Engaged in target detection with laser projection control and web development using QuickShow, Visual Code, Visual Studio, HTML, CSS, JavaScript, C#, and React.,Technical Engineer,BQ, Las Rozas, Madrid, 2016 – 2018,Managed smartphone firmware related to sensors, graphics, performance, battery, and camera,issues. Utilized Jira, Gerrit, Git, Linux, C, C++, and Java for problem-solving and system,improvements.,Scholarship Assistant,Cátedra BQ, ETSIT-UPM, Madrid, 2015 – 2016,Developed Android graphics and drivers.

🛠️ Skills:

Problem-solving expertise,High adaptability and ambition,Strong work ethic,Proficient in software languages and hardware board development

🏆 Awards:

Awarded for contributions in research and development within the Electronic Systems Lab.,Recognized for outstanding performance and innovation in firmware engineering at Securitas Direct Verisure.

🔬 Research Focus:

Energy Harvesting Techniques and Power Management,Investigated and developed energy harvesting strategies for autonomous devices, contributing to,a published MDPI article.,Target Detection and Laser Projection Control
Explored advanced techniques for target detection and developed associated web applications.

Conclusion:

Ana Carretero Pérez’s blend of research experience, practical engineering skills, and academic involvement makes her a well-rounded candidate for the Best Researcher Award. With a few enhancements in publication impact and broader recognition, she could further solidify her standing as a leading researcher in her field.

Publications :

  1. Article:
    • Title: Design Decisions for Wearable EEG to Detect Motor Imagery Movements
    • Authors: Carretero, A., Araujo, A.
    • Source: Sensors
    • Year: 2024
    • Volume and Issue: 24(15), 4763

 

  1. Conference Paper:
    • Title: Analysis of Simple Algorithms for Motion Detection in Wearable Devices
    • Authors: Carretero, A., Araujo, A.
    • Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    • Year: 2022
    • Pages: 2410–2415

 

  1. Article:
    • Title: Autonomous Active Tag Using Energy Harvesting Strategies
    • Authors: Carretero, A., Real, S., Araujo, A.
    • Source: Applied Sciences (Switzerland)
    • Year: 2020
    • Volume and Issue: 10(15), 5260

 

Assoc Prof Dr.Yong Liang |edge intelligence| Best Researcher Award

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Assoc. Prof Dr.Yong Liang |edge intelligence| Best Researcher Award

Assoc Prof Dr.Yong Liang , College of Mechanical and Control Engineering, Guilin University of TechnologyChina

Assoc Prof Dr. Yong Liang is a distinguished academic at the College of Mechanical and Control Engineering, Guilin University of Technology, China. With a robust background in mechanical engineering, Dr. Liang’s research interests encompass advanced manufacturing technologies, robotics, and control systems.

Summary:

Assoc. Prof. Dr. Yong Liang is a dedicated researcher and educator with a robust academic background and a focused research agenda in emerging fields such as small sample learning, edge intelligence, and intelligent robots. His recent accolades, including the Chapek Award, reflect his significant contributions to integrating robotics education with industry needs. Dr. Liang’s work is both innovative and impactful, making him a strong candidate for the Best Researcher Award.

 

Professional Profiles:

Orcid

Education :

Mr. Yong Liang is a dedicated individual on a journey of continuous learning and academic achievement. He pursued his undergraduate degree at Wuhan Science and Technology Institute in 2005, laying a solid foundation in technology and engineering. Furthering his education, he earned a Master’s degree from Guilin University of Electronic and Technology in 2008, where he deepened his knowledge in electronic engineering. His thirst for knowledge did not stop there; in 2016, he received a Ph.D. degree from the College of Mechanical and Electronic Engineering, Northwest A&F University. His educational path reflects a commitment to the ever-evolving field of technology, showcasing a passion for electronic engineering and a determination to delve deeper into the world of intelligent robots.

Professional Skills:

Yong Liang not only excels academically but also possesses outstanding skills that have earned him recognition in the professional world. In 2024, he was awarded the prestigious Chapek Award, which honors excellence in integrating robotics education and the robotics industry, particularly as an Industry Education Integration Teacher. Over the past three years, he has published six research papers focusing on small sample learning, edge computing, FPGA, and related fields. His skills, awards, and achievements reflect a deep passion for learning and a commitment to excellence, setting him apart as a leader in his field.

Experience:

Mr. Yong Liang’s professional journey is marked by a continuous pursuit of growth and innovation. After earning his Master’s degree in 2008, he joined a college where he taught electronic courses such as Analog Electronics Technology, Digital Electronic Technology, Microcontroller Systems, and FPGA Principles and Applications. However, realizing that his technological perspective needed to be broader, he left academia to pursue a doctoral degree. Upon completing his Ph.D. in 2016, he joined Guilin University of Technology as both a teacher and a researcher. There, he formed an intelligent robot research team, which has made significant achievements in the field over the years. His experience highlights a blend of teaching and research, underpinned by a continuous drive to innovate and expand his expertise.

Research Focus:

Mr. Yong Liang is a tech enthusiast with a keen interest in cutting-edge advancements in small sample learning, intelligent robots, edge intelligence, and Green AI. His research explores the intersections of artificial intelligence and edge computing with a focus on low-power requirements. He is particularly interested in decentralized edge intelligence and collaborative deep learning, areas that promise to revolutionize how we think about and implement intelligent systems. His dedication to these fields reflects a commitment to shaping the future of technology, where seamless connectivity and intelligent systems pave the way for transformative innovations.

Conclusion:

Dr. Yong Liang is highly suitable for the Best Researcher Award. His strengths in cutting-edge research, educational contributions, and recent recognition align well with the award criteria. To further enhance his candidacy, he could focus on broadening his technological perspective through interdisciplinary research and increasing his publication volume and international collaborations. Overall, his achievements and commitment to advancing technology through research make him a deserving candidate for this prestigious award.

 

Publications :

 

  1. Research on Convolutional Neural Network Inference Acceleration and Performance Optimization for Edge Intelligence
    Journal: Sensors
    Published Year: 2024

 

  1. Research and Implementation of Adaptive Stereo Matching Algorithm Based on ZYNQ
    Journal: Journal of Real-Time Image Processing
    Published Year: 2024

 

 

 

 

 

Praveen N| Materials| Best Researcher Award

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Dr.Praveen N| Materials| Best Researcher Award

Dr , Praveen N, Siddaganga Institute of Technology, India.

Dr. Praveen N is a distinguished academician and researcher at Siddaganga Institute of Technology, India. He is known for his contributions in his field, where he has played a significant role in advancing research and education. With a strong background in engineering and technology, Dr. Praveen N has published numerous papers in reputed journals and conferences. His dedication to innovation and academic excellence makes him a valuable member of the academic community at Siddaganga Institute of Technology.

Summary:

N. Praveen is a dedicated researcher with a clear focus on shape memory alloys, particularly Cu–Al–Mn ternary alloys. The candidate has made significant contributions to the field through numerous publications in high-impact journals and has collaborated effectively with other experts. The use of advanced machining and optimization techniques in their research underlines their technical expertise and relevance to industry applications. However, there is room for broadening their research scope and showcasing more independent research initiatives.

Professional Profiles:

Orcid

🎓 Education :

Doctor of Philosophy (Ph.D.) in Advanced Materials (Shape Memory Alloys),Department of Mechanical Engineering Research Centre, Siddaganga Institute of Technology, Karnataka, VTU Belagavi (2024),Completed a Ph.D. with a focus on the synthesis of Cu-Al-Mn ternary shape memory alloys. The research included optimizing machinability parameters for CNC machining and Wire EDM, contributing to advancements in the field of smart materials.,Master of Technology (M.Tech) in Manufacturing Science and Engineering,Department of Mechanical Engineering, Siddaganga Institute of Technology, Karnataka, VTU Belagavi (2017),Graduated with a CGPA of 9.01, focusing on evaluating the biocompatibility of Cu-Al-Be-Mn quaternary shape memory alloys. This project underscored the integration of materials science and manufacturing engineering.,Bachelor of Engineering (B.E.) in Industrial Engineering and Management,Sri Siddhartha Institute of Technology, Karnataka, SSU Tumakuru (2015),With a CGPA of 8.06, the B.E. degree involved the design and development of a hydraulic jack, laying the,foundation for,expertise in mechanical systems and industrial engineering principles.

🏢 Experience:

Research Assistant,With over five years of experience as a Research Assistant, I have been deeply involved in conducting and analyzing research projects, particularly in the field of advanced materials. I have also mentored undergraduate, postgraduate students, and Ph.D. colleagues, helping them develop research skills and expertise, particularly in the domain of shape memory alloys and machining processes.,Lecturer,Sri Krishna Polytechnic, Bengaluru (March 21, 2018 – May 15, 2018),During my tenure as a lecturer, I imparted knowledge in mechanical engineering subjects, emphasizing practical applications and theoretical understanding, fostering a strong academic foundation for students in polytechnic education.

🛠️ Skills:

Advanced Materials Research: Expertise in the synthesis and characterization of shape memory alloys, with a strong focus on Cu-Al-Mn and Cu-Al-Be-Mn alloys.,Machining and Manufacturing Processes: Skilled in CNC machining, Wire EDM, and optimization of machinability parameters for advanced materials.,Research Mentorship: Experienced in guiding students and researchers in mechanical engineering and materials science projects.,Industrial Training and Interaction: Familiar with the latest technologies and practices in the railway, defense,,manufacturing, and power generation industries.

🏆 Awards:

Patent Application: Filed for an Indian patent titled “An IOT-Based Smart Flexible Air Purifier System” (Patent Application No: 202341079755), which is currently published.,Reviewer for Academic Journal: Actively contribute as a reviewer for the Journal of Institute of Engineers Series-D, Springer Publication, ensuring the quality and relevance of published research.

🔬 Research Focus:

My research primarily revolves around the development and optimization of shape memory alloys, with a special focus on Cu-Al-Mn ternary and Cu-Al-Be-Mn quaternary systems. I am particularly interested in the machinability of these materials, exploring their applications in advanced manufacturing processes, and contributing to the development of smart materials for various industrial applications.

Conclusion:

N. Praveen is a strong contender for the Best Researcher Award due to their specialization in shape memory alloys, prolific publication record, and the industrial relevance of their work. By diversifying their research topics and emphasizing practical applications, the candidate could further strengthen their impact and leadership in the field. Given the candidate’s current trajectory, they are well-positioned for recognition and continued contributions to materials science and engineering.

Publications :

  • Effect of pulse time (Ton), pause time (Toff), peak current (Ip) on MRR and surface roughness of Cu–Al–Mn ternary shape memory alloy using wire EDM
    Authors: N. Praveen, Siddesh Kumar. N. G., C. Durga Prasad, Jayant Giri, Ibrahim Albaijan, U. S. Mallik, T. Sathish
    Source: Journal of Materials Research and Technology, Elsevier
    Year: 2024

 

  • Machinability Study of Cu-Al-Mn Shape Memory Alloys using Taguchi Method
    Authors: N. Praveen, U.S. Mallik, A. G. Shivasiddaramaiah, Rajashekhar Hosalli, C. Durga Prasad, Saravana Bavan
    Source: Journal of Institution of Engineers, Series-D, Springer
    Year: 2024

 

  • Effect of CNC End Milling Parameters on Cu–Al–Mn Ternary Shape Memory Alloys Using Taguchi Method
    Authors: N. Praveen, U. S. Mallik, A. G. Shivasiddaramaiah, N. Nagabhushana, C. Durga Prasad, Shanthala Kollur
    Source: Journal of Institution of Engineers, Series-D, Springer
    Year: 2023

 

  • Synthesis and Wire EDM characteristics of Cu-Al-Mn Ternary Shape Memory Alloys Using Taguchi Method
    Authors: N. Praveen, U. S. Mallik, A. G. Shivasiddaramaiah, R. Suresh, L. Shivaramu, C. Durga Prasad
    Source: Journal of Institution of Engineers, Series-D, Springer
    Year: 2023

 

  • Design and Analysis of Shape Memory Alloys Using Various optimization Techniques
    Authors: N. Praveen, U. S. Mallik, A. G. Shivasiddaramaiah, R. Suresh, L. Shivaramu, C. Durga Prasad
    Source: Advances in Materials and Processing Technologies, Taylor and Francis
    Year: 2023

 

  • Analysis of Cutting Force, Feed Force and Surface Roughness of Cu-Al-Mn Shape Memory Alloys under CNC Turning
    Authors: N. Praveen, U.S. Mallik, A.G. Shivasiddaramaiah
    Source: International Journal of Machining and Machinability of Materials (IJMMM), Inderscience
    Year: 2023

 

  • Study on Effect of Process Parameters on Kerf Width Using Wire Electrical Discharge Machining of Cu-Al-Mn Shape Memory Alloys
    Authors: N. Praveen, U.S. Mallik, A.G. Shivasiddaramaiah
    Source: International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET)
    Year: 2022

 

  • Characterization and Evaluation of Shape Memory Effect of Cu-Zn-Al Shape Memory Alloy
    Authors: N. Lokesh, U. S. Mallik, A. G. Shivasiddaramaiah, T. N. Mohith, N. Praveen
    Source: Journal of Mines, Metals and Fuels
    Year: 2022

 

  • A Study on Material Removal Rate of Cu-Al-Mn Shape Memory Alloys in WEDM
    Authors: N. Praveen, U.S. Mallik, A.G. Shivasiddaramaiah, G. N. Narendra Reddy
    Source: Materials Today: Proceedings
    Year: 2021

 

  • Synthesis and Evaluation of Machining Characteristics of Cu-Al-Mn Ternary Shape Memory Alloys using CNC Wire Electric Discharge Machining
    Authors: N. Praveen, U.S. Mallik, Shivaramu.L, A.G. Shivasiddaramaiah, R. Suresh, Prashantha.S
    Source: AIP Conference Proceedings
    Year: 2020

 

  • Evaluation of Biocompatibility of Cu-Al-Be-Mn Quaternary Shape Memory Alloy
    Authors: A. G. Shivasiddaramaiah, U. S. Mallik, S. Prashanth, N. Praveen, C Anupama
    Source: Materials Today Proceedings
    Year: 2018