Nikolaos Freris | Robotics | Best Researcher Award

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Prof. Dr. Nikolaos Freris | Robotics | Best Researcher Award

Prof. Dr. Nikolaos Freris, University of Science and Technology of China, China

Dr. Nikolaos M. Freris is a distinguished academic and researcher specializing in computer science, robotics, and artificial intelligence. Currently serving as a professor and Vice Dean at the University of Science and Technology of China (USTC), he leads the AIoT Laboratory, advancing cutting-edge innovations in distributed learning and cyber-physical systems. Dr. Freris earned his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, graduating with a perfect GPA of 4.0/4.0. With extensive international experience, including positions at IBM Research, EPFL, and NYU Abu Dhabi, his work bridges theoretical advancements and practical applications in intelligent systems. A prolific speaker and educator, he has delivered numerous keynotes and distinguished lectures worldwide. His passion for innovation and knowledge-sharing solidifies his reputation as a leader in AI-driven technologies, fostering global collaborations and pioneering impactful research.

Professional Profile

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Prof. Dr. Nikolaos Freris Summary of Suitability for the Award

Nikolaos M. Freris is an exceptionally accomplished researcher and academic, making him a strong candidate for the Research for Best Researcher Award. His educational background is impeccable, with a Ph.D. in Electrical and Computer Engineering and two master’s degrees (Mathematics and Electrical & Computer Engineering) from the University of Illinois at Urbana-Champaign, all earned with perfect GPAs. His work bridges cutting-edge domains such as systems, decision and control, communication networks, and optimization, demonstrating a deep understanding of complex interdisciplinary challenges.

Professionally, Dr. Freris has held prestigious positions at globally recognized institutions, including his current role as a professor at the University of Science and Technology of China (USTC), where he also serves as Vice Dean of the International College and Director of the AIoT Laboratory.

🎓 Education 

Dr. Nikolaos M. Freris holds a robust academic foundation in engineering and computer science. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, specializing in systems, decision, and control, and achieving a perfect 4.0/4.0 GPA. During his doctoral studies, his groundbreaking dissertation explored optimization models for wireless networks, including clock synchronization and video streaming. He also earned dual Master’s degrees from the same university in Mathematics and Electrical and Computer Engineering. Prior to his postgraduate pursuits, he graduated summa cum laude with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, where his thesis addressed innovative approaches in biomedical engineering. This exceptional academic journey underpins his expertise in robotics, AI, and distributed systems, driving his impactful research and academic contributions globally.

💼  Professional Experience

Dr. Nikolaos M. Freris boasts a dynamic career in academia and industry. Since 2019, he has been a Professor of Computer Science at USTC, where he directs the AIoT Laboratory, pioneering advances in distributed learning and robotics. He also serves as Vice Dean of the International College, fostering global academic partnerships. Previously, he was an Assistant Professor at NYU Abu Dhabi and a Global Network Assistant Professor at NYU Tandon, leading research on cyber-physical systems. His industry experience includes roles as a Senior Research Scientist at EPFL, managing Qualcomm-funded projects, and as a Postdoctoral Fellow at IBM Research Zurich. His early career featured internships at Deutsche Telekom and Xerox, where he explored innovative computational solutions. With a strong track record of leadership in interdisciplinary projects, Dr. Freris continues to bridge the gap between theoretical research and real-world applications.

🏅  Awards and Recognition

Dr. Nikolaos M. Freris is a recipient of numerous prestigious awards recognizing his contributions to computer science and engineering. His academic excellence is reflected in his perfect GPA achievements during his Ph.D. and Master’s studies. He has delivered keynotes at leading conferences such as the International Conference on Internet of Things and AIoT forums. His research on distributed learning, robotics, and AIoT has earned him accolades, including invited talks at institutions like Zhejiang University and international symposiums. As a leader in global academic initiatives, he was recognized for his innovative teaching and impactful research by organizations such as IEEE and CAS. Dr. Freris’s accolades underscore his commitment to advancing intelligent systems and fostering collaborations across disciplines, enhancing the global understanding of cutting-edge technologies.

🌍 Research Skills On Robotics 

Dr. Nikolaos M. Freris demonstrates exceptional research skills in robotics, distributed systems, and artificial intelligence. His expertise spans optimization theory, machine learning, and cyber-physical systems, with applications in AIoT and intelligent transportation. He specializes in communication-efficient algorithms, real-time data learning, and bio-inspired robotics, contributing to sustainable solutions for modern technological challenges. As the founder and director of AIoT and Cyberphysical Systems Labs, he leads transformative research initiatives that bridge theoretical models and real-world implementation. His methodological rigor and creative problem-solving skills are evident in his widely cited publications and pioneering keynote addresses. Dr. Freris’s ability to synthesize complex systems into actionable innovations positions him as a thought leader in emerging AI and robotics domains.

📖 Publication Top Notes

Title: Randomized extended Kaczmarz for solving least squares
  • Authors: A. Zouzias, N. M. Freris
    Journal: SIAM Journal on Matrix Analysis and Applications
    Citations: 349
    Year: 2013
Title: Fundamental limits on synchronizing clocks over networks
  • Authors: N. M. Freris, S. R. Graham, P. R. Kumar
    Journal: IEEE Transactions on Automatic Control
    Citations: 270
    Year: 2010
Title: Fundamentals of large sensor networks: Connectivity, capacity, clocks, and computation
  • Authors: N. M. Freris, H. Kowshik, P. R. Kumar
    Journal: Proceedings of the IEEE
    Citations: 151
    Year: 2010
Title: A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization
  • Authors: P. Latafat, N. M. Freris, P. Patrinos
    Journal: IEEE Transactions on Automatic Control
    Citations: 89
    Year: 2019
Title: Fundamental limits on synchronization of affine clocks in networks
  • Authors: N. M. Freris, P. R. Kumar
    Conference: 2007 46th IEEE Conference on Decision and Control
    Citations: 79
    Year: 2007
Distortion-aware scalable video streaming to multinetwork clients
  • Authors: N. M. Freris, C. H. Hsu, J. P. Singh, X. Zhu
    Journal: IEEE/ACM Transactions on Networking
    Citations: 69
    Year: 2012
Fast distributed smoothing of relative measurements
  • Authors: N. M. Freris, A. Zouzias
    Conference: 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
    Citations: 64
    Year: 2012
Multiplayer Stackelberg–Nash game for nonlinear system via value iteration-based integral reinforcement learning
  • Authors: M. Li, J. Qin, N. M. Freris, D. W. C. Ho
    Journal: IEEE Transactions on Neural Networks and Learning Systems
    Citations: 56
    Year: 2020
A synchrophasor data-driven method for forced oscillation localization under resonance conditions
  • Authors: T. Huang, N. M. Freris, P. R. Kumar, L. Xie
    Journal: IEEE Transactions on Power Systems
    Citations: 56
    Year: 2020
A model-based approach to clock synchronization
  • Authors: N. M. Freris, V. S. Borkar, P. R. Kumar
    Conference: Proceedings of the 48th IEEE Conference on Decision and Control (CDC)
    Citations: 53
    Year: 2009

Dr. SENTHIL G. A | Computer Science | Research Excellence Award

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Dr. SENTHIL G. A | Computer Science | Research Excellence Award🏆

Doctor. SENTHIL G. A, Agni College of Technology, India 🎓

Professional Profile

🌟Dr. G.A. Senthil: A Distinguished Career in Engineering and Technology 

🎓Early Academic Pursuits 

Dr. G.A. Senthil’s academic journey commenced with a Diploma in Computer Science and Engineering from the Technical Education Board, Tamil Nadu, where he graduated with a commendable 72% in 1991. He then pursued a Bachelor’s degree in Computer Science and Engineering from SIR. M. Visvesvaraya Institute of Technology, Bangalore University, graduating in 1997. His academic excellence continued with an M.Tech in Information Technology from Sathyabama University, Tamil Nadu, where he graduated with distinction in 2007. Dr. Senthil’s scholarly dedication culminated in a Ph.D. from Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, in 2022, with a thesis focused on enhancing energy-efficient cluster-based routing using hybrid particle swarm optimization for IoT sensor networks.

💼Professional Endeavors 

Dr. Senthil’s career spans over 27 years in various esteemed engineering colleges. His professional journey began at Sir M. Visvesvaraya Institute of Technology, Bangalore, as a Lecturer in Computer Science and Engineering. He subsequently held positions at Annai Mathammal Sheela Engineering College, Aarupadai Veedu Institute of Technology, and Dhaanish Ahmed College of Engineering, where he advanced from Lecturer to Senior Lecturer and eventually to Head of Department. He currently serves as an Associate Professor at AGNI College of Technology, Chennai. Dr. Senthil’s extensive teaching experience includes undergraduate and postgraduate courses, reflecting his deep commitment to education and student development.

🔍Contributions and Research Focus 

Dr. Senthil has made significant contributions to the field of computer science and engineering. His research interests include the Internet of Things (IoT), wireless sensor networks (WSN), and advanced algorithms. He has published 11 journal articles, 50 conference papers, and several book chapters in prestigious publications such as Springer and Wiley. His patent portfolio includes 7 published inventions and 5 grants. Dr. Senthil has also been involved in funded projects, contributing to the advancement of technology and innovation.

🏆Accolades and Recognition 

Throughout his illustrious career, Dr. Senthil has received numerous accolades. He was awarded the Best Researcher Award for the academic year 2023 by the Human Rights Association & ACT. His role as a journal reviewer for Springer, Elsevier, and Hindawi highlights his expertise and recognition in the academic community. Dr. Senthil has also been a session chair and technical program committee member for various conferences, further showcasing his leadership and influence in the field.

🌐Impact and Influence 

Dr. Senthil’s influence extends beyond academia through his active participation in professional societies such as ISTE, CSI, and SCRS. He has mentored numerous students and guided several research projects, fostering a culture of innovation and critical thinking. His contributions to curriculum development, including the publication of three books aligned with Anna University regulations, have significantly impacted engineering education.

🔮Legacy and Future Contributions 

As a dedicated educator and researcher, Dr. G.A. Senthil continues to shape the future of engineering and technology. His ongoing research and commitment to academic excellence ensure a lasting legacy in the field. Dr. Senthil’s future contributions are poised to inspire and guide the next generation of engineers and technologists, cementing his role as a pivotal figure in the advancement of computer science and engineering.

 

📖Publications : 

Mrs. Sravani Nalluri | Computer Science and Engineering | Best Researcher Award

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Mrs. Sravani Nalluri | Computer Science and Engineering | Best Researcher Award🏆

Mrs. Sravani Nalluri, VIT Vellore, India 🎓

Professional Profile

🌟Sravani Nalluri: A Comprehensive Overview

🎓Early Academic Pursuits

Sravani Nalluri’s academic journey began with a Bachelor’s degree in Electronics and Communication Engineering from Idhaya Engineering College for Women, Anna University, in 2006. She continued her education with a Master’s degree in Computer Science and Engineering from St. Joseph’s College of Engineering, Anna University, Chennai, in 2008. Her quest for knowledge led her to the Vellore Institute of Technology, where she pursued a Ph.D. in Computer Science and Engineering, with her thesis submitted in April 2024. Alongside, she completed a Junior Data Analyst Program from Npower Canada in August 2023, further diversifying her skill set.

💼Professional Endeavors

Sravani’s career has been marked by a 13-year tenure as an Assistant Professor in the Department of Computer Science and Engineering at VNR VJIET, Hyderabad. During her tenure, she excelled in teaching programming languages such as C and Java, and developed a deep understanding of data structures, algorithms, and software development. She has also held roles as a QA Consultant and Training Process Member at Zemoso Technologies, Hyderabad, from May 2022 to August 2022. Her professional memberships include being a life member of The Indian Society for Technical Education (ISTE) and a member of the Computer Society of India, Hyderabad Chapter.

🔍Contributions and Research Focus

Sravani has made significant contributions to computer science education and research. She has developed and taught both undergraduate and graduate courses, guided numerous major and minor projects, and participated in curriculum development. Her expertise extends to machine learning, deep learning, and cloud concepts. She has actively contributed to various technical roles, including being a Hackathon Coordinator and Lab In Charge, and has played a pivotal role in the NAAC and NBA accreditation processes.

🏆Accolades and Recognition

Throughout her career, Sravani has been recognized for her dedication and contributions. Her certifications include Microsoft AZ-900, IBM Data Analyst Professional Certificate, and specialized courses in AI, Big Data Analytics, and Natural Language Processing. These certifications highlight her commitment to continuous learning and staying updated with industry advancements.

🌐Impact and Influence

Sravani’s influence extends beyond academia. Her role as a faculty mentor, involvement in hackathons, and contributions to innovative projects reflect her impact on student development and the academic community. Her commitment to improving educational practices and integrating technology into teaching has had a lasting effect on her students and colleagues.

🔮Legacy and Future Contributions

As she continues her journey, Sravani Nalluri remains dedicated to advancing the field of computer science through her research and teaching. Her future contributions are poised to shape the next generation of computer scientists and engineers. Her ongoing research and commitment to educational excellence ensure a lasting legacy in the field.

📖Publications :