Haining Yang | Phase Array System | Best Researcher Award

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Prof. Haining Yang | Phase Array System | Best Researcher Award

Doctorate from University of Electronic Science and Technology | China

Dr. Haining Yang is an accomplished researcher in the field of radar imaging and signal processing, currently serving as a Researcher and Doctoral Supervisor at the School of Electronic Science and Engineering, University of Electronic Science and Technology of China (UESTC). He earned his Ph.D. in Signal and Information Processing from UESTC. His academic journey includes a tenure as a Visiting Researcher at Duke University’s Department of Electrical Engineering, where he gained valuable international research exposure. Dr. Yang’s career reflects a steady progression from a Research Assistant to Associate Researcher, culminating in his current senior role. His expertise lies in radar imaging, phased array systems, and signal processing, making significant contributions through both independent and collaborative projects. He is a prolific scholar with over 90 SCI/EI-indexed publications and more than 40 national invention patent applications, of which over 20 have been authorized. Dr. Yang is an IEEE Senior Member and serves as a reviewer for top-tier journals such as IEEE Transactions on Geoscience and Remote Sensing (TGRS). He also acts as an expert reviewer for the National Natural Science Foundation of China, reflecting his authoritative position in the scientific community and dedication to advancing research excellence.

Professional Profile

Scopus | ORCID

Education

Haining Yang holds a distinguished academic background anchored by a Ph.D. in Signal and Information Processing from the University of Electronic Science and Technology of China (UESTC), one of China’s premier institutions for electronic and information disciplines. His doctoral research laid the foundation for his future contributions to radar imaging and signal processing, areas in which he has since built an impressive academic and professional reputation. Notably, during his doctoral studies, he was selected as a Visiting Researcher at Duke University. This international experience broadened his research horizons and provided access to world-class resources and collaborations, particularly in advanced signal processing technologies. His early academic formation also involved deep engagement with theoretical and practical dimensions of phased array systems, shaping his problem-solving capabilities and engineering insight. The combination of a strong theoretical foundation from UESTC and practical exposure at Duke University uniquely positions Dr. Yang at the intersection of academic rigor and applied innovation. His education reflects not just academic excellence but also a capacity for global collaboration, interdisciplinary work, and long-term research vision—all of which have guided his subsequent professional success.

Professional Experience

Haining Yang holds a distinguished academic background anchored by a Ph.D. in Signal and Information Processing from the University of Electronic Science and Technology of China (UESTC), one of China’s premier institutions for electronic and information disciplines. His doctoral research laid the foundation for his future contributions to radar imaging and signal processing, areas in which he has since built an impressive academic and professional reputation. Notably, during his doctoral studies, he was selected as a Visiting Researcher at Duke University. This international experience broadened his research horizons and provided access to world-class resources and collaborations, particularly in advanced signal processing technologies. His early academic formation also involved deep engagement with theoretical and practical dimensions of phased array systems, shaping his problem-solving capabilities and engineering insight. The combination of a strong theoretical foundation from UESTC and practical exposure at Duke University uniquely positions Dr. Yang at the intersection of academic rigor and applied innovation. His education reflects not just academic excellence but also a capacity for global collaboration, interdisciplinary work, and long-term research vision—all of which have guided his subsequent professional success.

Research Interest

Dr. Haining Yang’s research interests lie at the intersection of radar imaging, phased array systems, and advanced signal processing techniques. He is particularly passionate about developing high-resolution radar imaging methods that can be applied to complex and dynamic environments. His work explores both theoretical frameworks and practical implementations, focusing on optimizing performance, accuracy, and computational efficiency in radar systems. In the field of phased arrays, he investigates innovative beamforming and calibration algorithms that enhance target detection and tracking capabilities. A significant portion of his research is dedicated to adaptive signal processing, including noise reduction, clutter suppression, and feature extraction from radar data. He is also keenly interested in exploring interdisciplinary approaches that integrate artificial intelligence and machine learning into radar signal interpretation. Dr. Yang’s contributions have practical implications for defense, aviation, remote sensing, and autonomous navigation systems. His research is frequently aligned with national priorities, such as projects under the National Key R&D Program and National Natural Science Foundation of China. With a strong publication record and active engagement in peer-review processes, he continues to shape the future of radar and signal processing technologies, pushing the boundaries of what modern electronic systems can achieve.

Research Skills

Dr. Haining Yang possesses a robust set of research skills that reflect his extensive training and experience in electronic engineering and information processing. He is highly proficient in radar imaging techniques, with expertise in synthetic aperture radar (SAR), inverse SAR, and three-dimensional imaging algorithms. His strong command over phased array system design and signal calibration processes enables him to implement complex experimental setups with precision. Dr. Yang is also skilled in signal processing methods such as time-frequency analysis, statistical estimation, and adaptive filtering, which are fundamental to extracting meaningful information from noisy or incomplete datasets. His programming proficiency spans MATLAB, Python, and C++, allowing him to develop simulation models and real-time processing tools for experimental validation. In addition to technical skills, he is adept in project management, having successfully led multiple high-level research initiatives funded by national and provincial agencies. Dr. Yang demonstrates a solid grasp of scientific communication, regularly publishing in SCI/EI-indexed journals and presenting at top conferences. His experience supervising graduate students adds to his collaborative and mentoring strengths, creating a dynamic research environment. These diverse yet interconnected skills make Dr. Yang a versatile and highly effective researcher in electronic science and engineering.

Awards and Honors

Dr. Haining Yang’s career is distinguished by numerous awards and honors that reflect his excellence in scientific research and student mentorship. Notably, he led students to achieve prestigious accolades such as the Silver Award in the China International College Students Innovation Competition Finals and the Gold Award in the Sichuan International College Students Innovation Competition, demonstrating his commitment to fostering innovation and academic excellence. He also guided a team that earned the Second Prize in the China Graduate Electronic Design Contest National Finals, one of China’s most competitive academic contests. Dr. Yang is a Senior Member of the IEEE, recognizing his sustained contributions and leadership in the engineering community. His work has earned support from prominent funding agencies, including the Ministry of Science and Technology and the National Natural Science Foundation of China, further underlining the impact and trust his research commands. With over 20 authorized invention patents, he has made significant strides in turning academic research into applicable technologies. As a reviewer for top-tier journals and national scientific committees, Dr. Yang’s expertise is highly valued in both academic and policy-making circles. These accolades underscore his role as a leading figure in electronic science research.

Publications Top Notes

Title: Joint Design of Transceiver Digital Beamforming by Outage Analysis for High-Speed Railway mmW Communication in the Presence of Deep Fading
Year: 2025

Title: A Nonlinear Manifold Embedding Extreme Learning Machine to Improve the Gas Recognition of Electronic Noses
Year: 2024
Citations: 6

Title: Adaptive Gradient Projection Correction Method for Resistivity Array Imaging Logging
Year: 2024

Conclusion

In conclusion, Dr. Haining Yang exemplifies a modern research leader whose career reflects deep technical expertise, a global academic perspective, and a strong dedication to innovation and mentorship. With a Ph.D. from UESTC and international research experience at Duke University, he combines rigorous academic training with global research insight. His work in radar imaging, phased arrays, and signal processing is supported by a strong record of funded research, prolific publications, and impactful patent contributions. As a Senior IEEE Member and active reviewer, he contributes significantly to the academic community, ensuring the quality and relevance of research in his field. Beyond research, his commitment to education is evident in the awards and recognition his students have earned under his guidance. Dr. Yang stands out not only as a productive scholar but also as a collaborative mentor, project leader, and innovator. His comprehensive skill set, academic dedication, and vision for technological advancement position him as a key contributor to the future of electronic science and engineering in China and beyond. With continued research and mentoring, Dr. Yang is well-poised to inspire and lead the next generation of researchers in his field.

 

Mahdi Nangir | Signal Processing | Best Researcher Award

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Dr. Mahdi Nangir | Signal Processing | Best Researcher Award

Associate Professor at Faculty of Electrical and Computer Engineering, University of Tabriz, Iran

Dr. Mahdi Nangir is a dedicated academic and researcher in the field of Communication Systems within Electrical Engineering, currently serving as an Associate Professor at the University of Tabriz, Iran. With an academic career marked by distinction and international collaboration, he brings expertise in coding theory, information theory, and source compression. Dr. Nangir completed his Ph.D. at the prestigious K.N. Toosi University of Technology, Tehran, where he focused on graph-based code design for the Binary CEO Problem. His academic journey also includes a sabbatical at McMaster University, Canada, which enriched his research through exposure to global academic practices. Throughout his career, he has contributed significantly to the fields of source coding and communication systems, blending theoretical depth with practical insight. His pedagogical commitment is evident through his active role in mentoring graduate students, supervising theses, and developing curricula in advanced communication topics. Dr. Nangir’s professional ethos is grounded in rigorous research, student-centered teaching, and continuous innovation. As a scholar, he is committed to solving real-world problems through interdisciplinary and collaborative research, positioning himself as a valuable contributor to the global academic community.

Professional Profile

Education

Dr. Mahdi Nangir’s educational background reflects his consistent pursuit of excellence in communication systems and electrical engineering. He earned his Ph.D. in Communication Systems from K.N. Toosi University of Technology in Tehran, Iran, between 2013 and 2018, with a strong GPA of 18.24/20. His doctoral thesis, titled “Graph-Based Code Design for the Binary CEO Problem,” was supervised by Prof. Mahmoud Ahmadian Attari and co-advised by Dr. Reza Asvadi. During this period, he further enriched his research through a sabbatical visit to McMaster University, Canada (2016–2017), under the mentorship of Prof. Jun Chen, engaging in cross-border academic collaboration and applying his research in diverse contexts. He previously obtained his M.Sc. in Communication Systems from the prestigious Sharif University of Technology, where he explored universal source coding algorithms under the supervision of Prof. Mohammad Reza Aref and Dr. Hamid Behroozi. His academic foundation began with a B.Sc. in Electrical Engineering from the University of Tabriz, where his thesis on self-similar communication network traffic earned a GPA of 18.39/20. This progression demonstrates not only academic rigor but also a deep and evolving engagement with the key challenges in information and communication technologies.

Professional Experience

Dr. Mahdi Nangir’s academic career is deeply rooted in research excellence and educational commitment. Since 2018, he has served in the Department of Electrical Engineering at the University of Tabriz, initially as an Assistant Professor and currently as an Associate Professor. In these roles, he has led advanced undergraduate and graduate courses in communication systems, mentored numerous thesis projects, and actively contributed to departmental planning and curriculum development. His responsibilities have extended beyond teaching to supervising cutting-edge research in information theory and coding techniques. Prior to his professorship, his professional experiences included sabbatical research at McMaster University, Canada, where he collaborated with international researchers on source coding challenges. Although his primary focus has been academia, Dr. Nangir also maintains links with the broader engineering and technology community through industry collaborations, applying theoretical insights to practical problems in communication systems. His work integrates theoretical innovation with teaching effectiveness, demonstrated by consistently positive student feedback and research outcomes. These experiences have honed his ability to balance rigorous scholarship with pedagogical effectiveness, preparing the next generation of engineers and researchers for success in the evolving tech-driven world.

Research Interest

Dr. Mahdi Nangir’s research interests lie at the intersection of communication theory, source coding, and information processing, with a special emphasis on coding design for networked systems and distributed data environments. His doctoral and postdoctoral research has centered on problems such as the Binary CEO Problem, where he developed novel graph-based coding schemes. This work contributes to foundational advancements in information theory, enabling efficient and robust data compression in noisy environments—a growing necessity in today’s big-data-driven world. His interests extend to universal source coding, distributed compression, and correlated sources, aligning closely with next-generation communication protocols, IoT frameworks, and cloud storage systems. Dr. Nangir is particularly passionate about solving real-world challenges such as bandwidth optimization, error reduction, and signal integrity in multi-sensor communication networks. His future research aims to explore machine learning applications in source coding and data representation, furthering his interdisciplinary reach. By combining strong mathematical modeling with hands-on simulation and implementation, he ensures that his research is both theoretically robust and practically applicable. He continues to collaborate with international scholars and institutions, bringing global relevance to his research and fostering innovation that pushes the boundaries of communication systems engineering.

Research Skills

Dr. Mahdi Nangir possesses a diverse and sophisticated set of research skills that empower him to address complex problems in communication systems and information theory. His core competencies include advanced coding theory, graph-based algorithms, and probabilistic modeling, especially within the context of source coding and compression techniques. He is highly skilled in developing and analyzing distributed source coding frameworks for applications in sensor networks and data fusion. Dr. Nangir is proficient in simulation and algorithm development using programming tools such as MATLAB and Python, enabling him to transform theoretical models into practical, testable solutions. Additionally, he has extensive experience in applying optimization techniques, such as convex programming and belief propagation, to enhance coding efficiency and system performance. His international research collaborations, especially his sabbatical work in Canada, have also equipped him with strong cross-cultural research communication and academic writing skills. Furthermore, he demonstrates strong capabilities in research supervision, literature review, experimental design, and publication in high-impact journals. These skills not only reflect technical mastery but also a deep commitment to rigorous, collaborative, and impactful research in the rapidly evolving field of electrical and communication engineering.

Awards and Honors

Dr. Mahdi Nangir has been recognized for his academic excellence and research contributions throughout his career. His consistent high GPA during undergraduate and graduate studies earned him multiple scholarships and commendations, showcasing his commitment to academic rigor from an early stage. His doctoral research on graph-based code design has been acknowledged for its innovation and potential impact in the field of communication systems. During his sabbatical tenure at McMaster University, he received positive evaluations and commendations from peers and supervisors, highlighting his adaptability and ability to contribute meaningfully in an international research environment. While his awards list is still developing as he continues to expand his academic profile, Dr. Nangir is widely respected within his department at the University of Tabriz, where he has been entrusted with key teaching and research responsibilities, culminating in his promotion to Associate Professor in 2023. His selection as a thesis advisor for multiple graduate students further underscores his recognition as a leader and mentor in the academic community. As he continues to publish and collaborate globally, his work is poised to receive broader recognition through future research awards and institutional honors.

Conclusion

In conclusion, Dr. Mahdi Nangir represents a well-rounded academic whose dedication to research, teaching, and scholarly collaboration makes him a valuable asset to any academic or research institution. His journey from a top-performing undergraduate to an internationally experienced Associate Professor reflects a sustained commitment to excellence. With specialized expertise in communication systems, information theory, and source coding, he continues to make meaningful contributions to both theoretical and applied aspects of electrical engineering. His ability to supervise research, secure academic collaborations, and deliver high-quality instruction has been evident through his work at the University of Tabriz and during his time at McMaster University. Dr. Nangir is not only a subject-matter expert but also a mentor and innovator, deeply engaged in advancing the frontiers of knowledge while nurturing the next generation of engineers. His career trajectory points toward a future rich with opportunity for impactful discoveries, interdisciplinary initiatives, and global academic engagement. With a strong foundation and an ambitious vision, Dr. Nangir stands ready to contribute to the evolving challenges and innovations in communication and information technologies.

Publications Top Notes

  • Energy Efficient Power Allocation in Massive MIMO NOMA Systems Based on SIF Using Cell Division Technique
    Authors: A.S. Gharagezlou, J. Pourrostam, M. Nangir, M.M. Safari
    Year: 2020
    Citations: 17

  • Analysis and Code Design for the Binary CEO Problem Under Logarithmic Loss
    Authors: M. Nangir, R. Asvadi, M. Ahmadian-Attari, J. Chen
    Year: 2018
    Citations: 17

  • Inception‐YOLO: Computational Cost and Accuracy Improvement of the YOLOv5 Model Based on Employing Modified CSP, SPPF, and Inception Modules
    Authors: H.K. Jooshin, M. Nangir, H. Seyedarabi
    Year: 2024
    Citations: 15

  • Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users
    Authors: A.S. Gharagezlou, M. Nangir, N. Imani, E. Mirhosseini
    Year: 2020
    Citations: 15

  • Energy Efficient Power Allocation with Joint Antenna and User Selection in Massive MIMO Systems
    Authors: A.S. Gharagezlou, M. Nangir, N. Imani
    Year: 2022
    Citations: 12

  • Secure Energy Efficient Power Allocation in Massive Multiple‐Input Multiple‐Output Systems with an Eavesdropper Using Cell Division Technique
    Authors: A.S. Gharagezlou, J. Pourrostam, M. Nangir
    Year: 2021
    Citations: 11

  • Comparison of the MRT and ZF Precoding in Massive MIMO Systems from Energy Efficiency Viewpoint
    Authors: M. Nangir, A.S. Gharagezlou, N. Imani
    Year: 2022
    Citations: 10

  • Energy Efficient Power Allocation in MIMO-NOMA Systems with ZF Receiver Beamforming in Multiple Clusters
    Authors: M. Nangir, A.S. Gharagezlou, N. Imani
    Year: 2021
    Citations: 9

  • Successive Wyner-Ziv Coding for the Binary CEO Problem Under Logarithmic Loss
    Authors: M. Nangir, R. Asvadi, J. Chen, M. Ahmadian-Attari, T. Matsumoto
    Year: 2019
    Citations: 9

  • Binary Wyner–Ziv Code Design Based on Compound LDGM–LDPC Structures
    Authors: M. Nangir, M. Ahmadian‐Attari, R. Asvadi
    Year: 2018
    Citations: 9

 

Dona Chakraborty | Wireless Communication | Best Researcher Award

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Ms. Dona Chakraborty | Wireless Communication | Best Researcher Award

Jadavpur University, India

Dona Chakraborty is a highly dedicated and accomplished engineering professional with a strong academic background and hands-on industry experience. With a Bachelor of Technology in Electronics and Communication Engineering and a Master of Engineering in Electronics and Telecommunication Engineering from prestigious institutions, she has consistently demonstrated academic excellence. She is driven by a passion for research and innovation in communication systems, especially in areas such as NOMA, MIMO, and OFDM technologies. Dona’s academic pursuits are well-complemented by her practical experience at industry leaders such as Tata Consultancy Services and Bajaj Auto Limited, where she contributed to real-world engineering challenges. Her postgraduate research on PD-NOMA systems has yielded multiple publications in IEEE and Wiley journals, underlining her capabilities as a research scholar. Apart from her academic and professional life, Dona actively engages in social outreach, has qualified the GATE examination three times, and possesses strong programming and analytical skills. With multilingual proficiency, a strong ethical foundation, and an inquisitive mindset, she aspires to make significant contributions to both academia and industry, embodying a blend of technical excellence, social awareness, and continuous learning.

Professional Profile

Education

Dona Chakraborty’s educational journey is marked by consistency, merit, and deep engagement in the field of electronics and communication. She began her academic excellence early, securing 87.14% in her 10th-grade examination under the West Bengal Board of Secondary Education and followed it with 78.20% in 12th grade from the West Bengal Council of Higher Secondary Education. She pursued her undergraduate degree, B.Tech in Electronics and Communication Engineering, from Maulana Abul Kalam Azad University of Technology, achieving an impressive 85.60% with an average SGPA of 9.31, reflecting her strong grasp of technical subjects. Her passion for advanced communication systems led her to Jadavpur University, where she completed her M.E. in Electronics and Telecommunication Engineering with a specialization in Communication Engineering. With a stellar CGPA of 9.45 and standing second in her department, she proved her aptitude for rigorous research and theoretical comprehension. Her M.E. thesis focused on “Study of Downlink PD-NOMA for Enhanced Spectrum and Energy Efficient System with Interference Management through NOMA Clustering,” supervised by Prof. Iti Saha Misra. Dona’s education has not only equipped her with academic knowledge but also provided a strong foundation in applied research, critical thinking, and innovation in next-generation communication technologies.

Professional Experience

Dona Chakraborty’s professional trajectory reflects a balance between academic research and industrial application. After earning her B.Tech degree, she began her corporate career at Tata Consultancy Services (TCS) as an Assistant System Engineer in July 2021. During her tenure until September 2022, she gained vital experience in software development and system integration, enhancing her skills in problem-solving, teamwork, and project management within a high-performance corporate environment. Her industry experience deepened further during her role as a Post Graduate Trainee Engineer at Bajaj Auto Limited from August 2024 to June 2025. Here, she engaged in engineering functions in a manufacturing and innovation-driven ecosystem, applying her communication systems knowledge to real-world industrial contexts. These experiences have honed her abilities to transition theoretical understanding into practical solutions, adapt to dynamic technical challenges, and collaborate effectively within multidisciplinary teams. Her professional journey has provided her with both software and hardware exposure, reinforcing her desire to work at the intersection of academia and industry. Dona’s roles have not only added technical depth to her profile but also allowed her to evolve as a reliable and productive engineer with the ability to contribute meaningfully to future innovations in electronics and telecommunication engineering.

Research Interest

Dona Chakraborty’s research interests lie in the evolving domain of wireless communication systems, with a focus on enhancing spectral and energy efficiency. Her primary interest revolves around Non-Orthogonal Multiple Access (NOMA), especially Power Domain NOMA (PD-NOMA), and its integration with MIMO and OFDM technologies. Through her thesis and academic endeavors, she has explored novel clustering methods to manage interference in downlink systems, thereby improving overall system performance. Her work aligns with next-generation communication goals such as 5G and beyond, where resource optimization, user fairness, and signal integrity are paramount. Dona is also deeply interested in the use of Software Defined Radios (SDRs) for validating communication models and developing testbeds for real-time system performance analysis. Her curiosity extends to channel estimation techniques, signal processing algorithms, and precoding strategies for efficient data transmission in complex multi-user environments. As communication technologies continue to advance rapidly, Dona seeks to contribute to the development of adaptive, robust, and efficient systems that cater to growing global data demands. She is keen on pursuing interdisciplinary research that bridges theoretical models with practical applications and aims to contribute to both academic knowledge and industrial innovation through her work.

Research Skills

Dona Chakraborty possesses a strong repertoire of research skills developed through rigorous academic training, hands-on projects, and scholarly publication. She is proficient in communication systems modeling, interference analysis, and spectral efficiency improvement using advanced access schemes such as PD-NOMA. Her thesis work involved clustering-based interference management, showcasing her ability to analyze, simulate, and improve complex wireless communication systems. Dona is experienced in using tools like MATLAB and Python for algorithm development and signal processing, and has worked with Software Defined Radio (SDR) platforms for real-time validation of theoretical models. Her skills in channel estimation, precoding, and OFDM-MIMO systems were further demonstrated in her published works in IEEE CALCON 2024 and Wiley journals. She is adept in interpreting experimental results, writing technical papers, and presenting research findings at academic forums. Dona’s exposure to both simulated and experimental approaches enhances her ability to blend computational analysis with hardware testing. Furthermore, she has a solid grounding in core ECE subjects such as digital communication, signal systems, control systems, and digital electronics. Her GATE qualifications and NPTEL certifications in C programming and digital circuits affirm her commitment to continuous learning and technical refinement.

Awards and Honors

Dona Chakraborty’s academic and professional accomplishments have been recognized through several awards and certifications that underscore her dedication and intellectual rigor. Notably, she qualified the highly competitive GATE examination in Electronics and Communication Engineering for three consecutive years—2022, 2023, and 2024—demonstrating her deep understanding of core engineering concepts. During her M.E. at Jadavpur University, she secured the second position in the Electronics and Telecommunication Engineering department, a testament to her academic excellence and commitment to research. Dona has earned certificates from prestigious NPTEL courses, including “Problem Solving through Programming in C” and “Digital Circuits,” which reflect her interdisciplinary learning and technical adaptability. Her research contributions have also gained attention, with publications in reputable conferences such as IEEE CALCON 2024 and in the Wiley-published International Journal of Communication Systems. Beyond academics, Dona has actively participated in social outreach, including visits to organizations such as the Institute for Indian Mother and Child (IIMC) and SANLAAP. Her achievements represent a blend of academic merit, research contribution, technical certifications, and social engagement—traits that highlight her as a well-rounded and forward-looking professional.

Conclusion

In conclusion, Dona Chakraborty embodies the qualities of an aspiring engineer, researcher, and contributor to technological advancement. With a firm foundation in Electronics and Communication Engineering, and a postgraduate specialization in Communication Systems, she has cultivated a comprehensive understanding of both theoretical and applied aspects of wireless communication. Her academic performance, research output, and professional experiences speak volumes about her dedication, competence, and future potential. By engaging in cutting-edge topics like PD-NOMA, OFDM, and MIMO systems, Dona has positioned herself at the frontier of next-generation communication technologies. Her research has not only been academically validated through prestigious conferences and journals but also demonstrates real-world relevance and application. She combines a keen intellect with a collaborative spirit, evident from her team-based project work and her roles in TCS and Bajaj Auto. Dona is also a compassionate individual with active participation in social outreach, highlighting her holistic approach to personal and professional development. As she continues her journey, she aims to leverage her expertise and values to drive innovation in telecommunications and contribute meaningfully to academia, industry, and society at large. Her trajectory reflects promise, purpose, and a passion for lifelong learning.

Publications Top Notes

  • Performance Analysis of Downlink PD‐NOMA Using Precoding and Clustering With Experimental Validation
    Authors: Dona Chakraborty, Iti Saha Misra
    Year: 2025

  • Experimental Approach of Interference Management in SIMO-NOMA Downlink for Enhanced Energy Efficiency through Clustering
    Authors: Dona Chakraborty, Iti Saha Misra
    Year: 2024

  • Testbed Method of Channel Estimation and Study of Precoding Effects in OFDM based MIMO-NOMA System using Software Defined Radio
    Authors: Dona Chakraborty, Nilak Patra, Iti Saha Misra
    Year: 2024

Pei-Yin Chen | In-Loop Filter | Best Researcher Award

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Prof. Pei-Yin Chen | In-Loop Filter | Best Researcher Award

Distinguished Professor at National Cheng Kung University, Taiwan

Professor Pei-Yin Chen is a Distinguished Professor at the Department of Computer Science and Information Engineering at National Cheng Kung University (NCKU), Taiwan. With a deep commitment to innovation and academic excellence, he also serves as the Chief Information Officer at NCKU Hospital. Holding a B.S. and Ph.D. from NCKU and an M.S. from Pennsylvania State University, Dr. Chen has dedicated over two decades to advancing research in VLSI/FPGA design, AI-based image processing, embedded systems, and healthcare information systems. His scholarly influence is recognized globally, having been listed among the “World’s Top 2% Scientists” by Stanford University for three consecutive years. With over 140 peer-reviewed publications, five patents, and five authored books, his work reflects a perfect synergy between academic rigor and practical applications. He has led 38 research projects and over 50 industry collaborations with partners like Qualcomm, AUO, and ITRI. His innovations have significantly impacted sectors ranging from medical informatics to intelligent transportation. Known for his dedication to teaching and student mentorship, Dr. Chen has received numerous awards in academic supervision. His contribution extends beyond academia through leadership roles such as Chair of the IEEE Tainan Section (2024–2025), embodying the role of a transformative researcher and technologist.

Professional Profile

Education

Dr. Pei-Yin Chen’s educational journey is distinguished by a strong foundation in electrical engineering and a lifelong commitment to knowledge acquisition. He earned both his Bachelor of Science (B.S.) and Doctor of Philosophy (Ph.D.) degrees from National Cheng Kung University (NCKU), Taiwan, majoring in Electrical Engineering. To broaden his international exposure and technological insight, he pursued and obtained his Master of Science (M.S.) in Electrical Engineering from the Pennsylvania State University, USA. His academic path reflects a rigorous blend of theoretical grounding and practical exploration, with a focus on developing innovative solutions in engineering and computing. The diverse academic environments of Taiwan and the United States enriched his understanding of both Eastern and Western research methodologies, allowing him to integrate global best practices into his scholarly and applied work. Throughout his academic development, Dr. Chen demonstrated an unwavering passion for VLSI/FPGA design and intelligent systems, which later became central to his research pursuits. His formative education laid the groundwork for a remarkable career spanning embedded systems, AI-powered technologies, and digital health. Dr. Chen’s academic background is not only a testament to personal excellence but also a catalyst for the many breakthroughs he has since contributed to academia and industry alike.

Professional Experience

Dr. Pei-Yin Chen has over 20 years of exemplary professional experience as a professor, researcher, and industry collaborator. He currently holds the esteemed position of Distinguished Professor at the Department of Computer Science and Information Engineering, National Cheng Kung University (NCKU), Taiwan. Additionally, he serves as the Chief Information Officer of the NCKU Hospital IT Office, where he leads initiatives that fuse medical care with advanced information systems. Dr. Chen’s professional trajectory includes not only academic leadership but also robust engagement with the industrial sector. He has led 54 consultancy and collaborative projects with globally recognized companies such as AUO, Qualcomm, UMC, and ASML Taiwan. His work spans the design and development of VLSI circuits, FPGA systems, AI image processing modules, and embedded applications. He has also actively contributed to the digital transformation of healthcare through the implementation of AI-enhanced clinical documentation tools. Dr. Chen is deeply involved in interdisciplinary projects with governmental bodies such as the Ministry of Education and ITRI. His career reflects a balance between academic inquiry and practical execution, ensuring real-world impact. As Chair of the IEEE Tainan Section (2024–2025), he continues to mentor scholars and guide regional technological development.

Research Interest

Dr. Pei-Yin Chen’s research interests span across several high-impact and evolving domains in computer and electronic engineering. His core focus lies in VLSI/FPGA circuit design, where he has contributed innovative architectural solutions that are both efficient and scalable. He is also deeply engaged in AI-based image processing, with applications in medical diagnostics, smart surveillance, and industrial automation. Another major area of his work includes the development of embedded systems—from compact hardware to real-time software—supporting everything from IoT devices to automotive applications. Dr. Chen has also pioneered the design of information systems, particularly in healthcare, where his AI-integrated systems have significantly improved documentation workflows and patient data management. His interdisciplinary approach extends to smart healthcare, satellite image analysis, and privacy-aware computing, integrating machine learning, system architecture, and human-centered design. His projects often bridge academia and industry, ensuring that his research not only advances theoretical knowledge but also solves real-world problems. He is particularly interested in how AI and VLSI can be co-optimized to create intelligent, responsive, and energy-efficient computing solutions for both commercial and societal benefit. His research contributions reflect a unique ability to foresee emerging trends and deliver impactful technologies.

Research Skills

Dr. Pei-Yin Chen possesses a diverse and advanced set of research skills that uniquely position him at the intersection of hardware, software, and AI integration. His expertise in VLSI and FPGA-based circuit design enables the development of high-speed, power-efficient digital systems tailored for real-time and high-volume data processing. In the domain of AI-based image processing, Dr. Chen applies deep learning and advanced pattern recognition techniques to develop intelligent visual systems used in medical, industrial, and transportation contexts. He is proficient in embedded system architecture, allowing him to seamlessly integrate sensors, microcontrollers, and software applications into compact and scalable platforms. Dr. Chen also excels in information system development, particularly in healthcare environments, where he has created privacy-preserving and efficiency-enhancing digital tools for clinical documentation. His technical toolkit includes mastery of programming languages (such as Verilog, Python, and C/C++), machine learning frameworks, system simulation tools, and IC layout design software. His strong interdisciplinary research capabilities are reflected in 38 completed/ongoing research projects and 54 industry collaborations. With more than 140 publications, he also demonstrates a high level of scientific communication and peer engagement, regularly serving as a reviewer for top-tier IEEE journals.

Awards and Honors

Dr. Pei-Yin Chen has earned numerous prestigious awards and honors throughout his academic and professional career, reflecting his profound contributions to engineering, education, and interdisciplinary research. He has been featured in the “World’s Top 2% Scientists” (Career-Long Impact) list compiled by Stanford University and Elsevier for three consecutive years, a recognition of his lasting scholarly influence. At National Cheng Kung University (NCKU), he has received multiple teaching and thesis supervision awards, honoring his dedication to student mentorship and academic excellence. Dr. Chen’s impact extends beyond the university through his editorial contributions as a reviewer for respected IEEE Transactions journals, including Image Processing, Vehicular Technology, and Fuzzy Systems. He has secured five patents, authored five books, and led more than 50 joint academic-industry projects, many of which translated into real-world applications. His leadership has been further recognized through his election as Chair of the IEEE Tainan Section (2024–2025), affirming his influence within Taiwan’s engineering community. These honors collectively reflect Dr. Chen’s commitment to bridging innovative research with educational growth and practical deployment, strengthening both academic inquiry and industrial advancement.

Conclusion

In conclusion, Dr. Pei-Yin Chen exemplifies the qualities of an outstanding applied scientist through his extensive academic contributions, interdisciplinary research, and transformative industry collaborations. As a Distinguished Professor and CIO at National Cheng Kung University, he merges academic leadership with impactful technological deployment. His research spans critical fields such as VLSI/FPGA design, AI-based image processing, and embedded systems, and has directly influenced industries including healthcare, transportation, and semiconductors. Dr. Chen’s extensive record—over 140 peer-reviewed publications, five patents, and collaborations with leading firms like AUO, Qualcomm, and ITRI—demonstrates a rare ability to translate innovation into real-world solutions. His inclusion in the “World’s Top 2% Scientists” for consecutive years highlights his enduring scholarly significance. Beyond technical achievements, his leadership as Chair of IEEE Tainan and his commitment to mentoring the next generation underscore a career built on both excellence and service. Dr. Chen is not only a pioneer in research but also a bridge-builder between academia and society. His holistic approach to research, education, and collaboration makes him exceptionally well-suited for the Best Research Scholar Award, aligning with the vision of the Applied Scientist Awards to recognize innovation with meaningful societal impact.

Publications Top Notes

  1. Title: Low complexity underwater image enhancement based on dark channel prior
    Authors: HY Yang, PY Chen, CC Huang, YZ Zhuang, YH Shiau
    Year: 2011
    Citations: 227

  2. Title: An efficient edge-preserving algorithm for removal of salt-and-pepper noise
    Authors: PY Chen, CY Lien
    Year: 2008
    Citations: 197

  3. Title: An efficient hardware implementation of HOG feature extraction for human detection
    Authors: PY Chen, CC Huang, CY Lien, YH Tsai
    Year: 2013
    Citations: 125

  4. Title: An efficient denoising architecture for removal of impulse noise in images
    Authors: CY Lien, CC Huang, PY Chen, YF Lin
    Year: 2012
    Citations: 114

  5. Title: Hardware implementation of a fast and efficient haze removal method
    Authors: YH Shiau, HY Yang, PY Chen, YZ Chuang
    Year: 2013
    Citations: 110

  6. Title: VLSI implementation for one-dimensional multilevel lifting-based wavelet transform
    Author: PY Chen
    Year: 2004
    Citations: 109

  7. Title: A low-complexity interpolation method for deinterlacing
    Authors: PY Chen, YH Lai
    Year: 2007
    Citations: 91

  8. Title: The gray prediction search algorithm for block motion estimation
    Authors: JM Jou, PY Chen, JM Sun
    Year: 1999
    Citations: 82

  9. Title: VLSI implementation of an edge-oriented image scaling processor
    Authors: PY Chen, CY Lien, CP Lu
    Year: 2009
    Citations: 79

  10. Title: An adaptive fuzzy logic controller: Its VLSI architecture and applications
    Authors: JM Jou, PY Chen, SF Yang
    Year: 2000
    Citations: 75