Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.

Dugki Min | Machine Learning and AI Applications | Best Researcher Award

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Prof Dr. Dugki Min | Machine Learning and AI Applications | Best Researcher Award

Konkuk University | South Korea

Prof. Dr. Dugki Min is a distinguished academic and thought leader in the field of computer science and artificial intelligence. Currently serving as a Full Professor at the Department of Computer Science and Engineering, College of Engineering, and Department Head of Artificial Intelligence at the General Graduate School of Konkuk University, Seoul, South Korea, he has dedicated nearly three decades to education, research, and innovation. His multidisciplinary expertise, encompassing software engineering, intelligent systems, distributed computing, and AI-based smart city applications, positions him as a pioneer in shaping Korea’s digital transformation and global technology collaborations.

Professional Profiles

SCOPUS

ORCID

GOOGLE SCHOLAR

Education

Prof. Min holds a Ph.D. and M.S. in Computer Science from Michigan State University, USA, where he developed a strong foundation in systems architecture and distributed computing. He completed his undergraduate studies in Industrial Engineering at Korea University. His education spans both technical and applied domains, enabling a balanced approach to both theoretical advancements and practical innovations.

Experience

Since joining Konkuk University in 1995, Prof. Min has held several leadership roles, including Research Director of the Distributed Multimedia Lab and Department Head for multiple programs in both the College of Engineering and the General Graduate School. His international academic footprint includes appointments as Visiting Professor at Pacific State University, USA, and Vanderbilt University. Beyond academia, he has significantly influenced industry practices through advisory roles at Samsung Electronics, national IT committees, and standardization bodies such as OASIS and the National Information Society Agency. His longstanding contributions to Korea’s software and simulation societies have solidified his reputation as a key figure in technological policymaking and industry collaboration.

Research Interest

Prof. Min’s research focuses on secure, intelligent, and scalable computing systems. His work spans artificial intelligence, distributed multimedia systems, digital twin technologies, edge-cloud computing, disaster-resilient smart cities, and cyber-physical systems. He leads major government-funded projects including AI-based public safety frameworks and digital twin applications for smart urban air mobility (UAM). His current projects emphasize the convergence of AI, bio-inspired frameworks, and real-time urban analytics to develop resilient, adaptive systems for modern cities. He has also delved into IPFS, blockchain, and biometric authentication, driving forward novel approaches in cybersecurity and information infrastructure.

Awards and Recognition

Prof. Min’s contributions have been recognized through numerous research grants and leadership roles in prestigious international conferences, including the International Conference on IT Promotion in Asia and the International Semantic Web Conference. His role as Program Chair and Steering Committee Member across multiple academic and government platforms highlights his global impact. Additionally, his collaborations with government ministries such as the Ministry of Science and ICT have resulted in pivotal national R&D programs, affirming his status as a trusted thought leader in AI and future mobility solutions.

Publications

Enhancing data harvesting systems: Performance quantification of Cloud–Edge-sensor networks using queueing theory

Authors: Jose Wanderlei Rocha, Eder Gomes, Vandirleya Barbosa, Arthur Sabino, Luiz Nelson Lima, Gustavo Callou, Francisco Airton Silva, Eunmi Choi, Tuan Anh Nguyen, Dugki Min et al.
Journal: ICT Express
Year: 2025

DDS-P: Stochastic models based performance of IoT disaster detection systems across multiple geographic areas

Authors: Israel Araújo, Luis Guilherme Silva, Carlos Brito, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen, Erico Leão, Francisco A. Silva
Journal: ICT Express
Year: 2025

Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains

Authors: Carlos Melo, Glauber Gonçalves, Francisco Airton Silva, Iure Fé, Ericksulino Moura, André Soares, Eunmi Choi, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen
Journal: ICT Express
Year: 2025

Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation

Authors: Seunghyeop Nam, Tuan Anh Nguyen, Eunmi Choi, Dugki Min
Journal: TechRxiv (Preprint)
Year: 2025

Aerial computing: Enhancing mobile cloud computing with unmanned aerial vehicles as data bridges—A Markov chain based dependability quantification

Authors: Francisco A. Silva, Iure Fé, Carlos Brito, G. Araujo, L. Feitosa, Tuan Anh Nguyen, K. Jeon, J.-W. Lee, Dugki Min, Eunmi Choi
Journal: ICT Express
Year: 2024

Deep learning methods for high-level control using object tracking

Authors: Kanmani P., Yuvaraj N., Karthic S., Sri Preethaa K.R., Dugki Min
Journal: Book Chapter in Urban Air Mobility: Intelligent, Safe and Sustainable Systems for Future Transportation
Year: 2024

Efficient Strategies for Unmanned Aerial Vehicle Flights: Analyzing Battery Life and Operational Performance in Delivery Services using Stochastic Models

Authors: Francisco A. Silva, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Paulo Rego, Luciano F. Bittencourt, J. Lee, Dugki Min, Tuan Anh Nguyen
Journal: IEEE Access
Year: 2024

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Authors: Gabriel Araújo, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Carlos Brito, Iure Fé, Paulo Rego, Eunmi Choi, Dugki Min, Tuan Anh Nguyen et al.
Journal: IEEE Access
Year: 2024

Conclusion

Prof. Dr. Dugki Min exemplifies academic excellence, innovative research, and impactful leadership in computer science and artificial intelligence. His ability to merge theory with application has led to the creation of intelligent systems that address real-world challenges—from traffic prediction and public safety to accessibility and secure computing. With a prolific record of publications, patents, and technology transfer initiatives, he continues to push the boundaries of smart system design and AI integration in urban and industrial ecosystems. His forward-thinking vision, combined with strong collaboration across academia, government, and industry, ensures his enduring influence in Korea and beyond.

Paraskumar Patel – Data Analytics and Engineering – Global Data Innovation Recognition Award 

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Mr. Paraskumar Patel - Data Analytics and Engineering - Global Data Innovation Recognition Award 

Fractal.ai - United States

Author Profile

Early Academic Pursuits

Mr. Paraskumar Patel embarked on his academic journey with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University, India. This foundational education provided him with a strong background in engineering principles and analytical thinking. Subsequently, he pursued a Master of Chemical Engineering from Carnegie Mellon University, USA, further honing his expertise in the field.

Building upon his engineering background, Patel expanded his academic horizons with a Master of Science in Information Technology from the University of the Cumberlands, USA. This interdisciplinary education equipped him with the necessary skills to bridge the gap between technology and engineering, laying the groundwork for his future endeavors in data engineering and analytics.

Professional Endeavors

Mr. Paraskumar Patel's professional journey is marked by a series of impactful roles in prominent organizations. As a Software Engineer at CCS Global Tech, he demonstrated leadership and technical prowess by spearheading projects for Advantasure, a healthcare company. Patel's contributions led to a 15% improvement in team performance, underscoring his ability to drive results and foster collaboration.

Transitioning to Fractal.ai as a Senior Data Engineer, Patel continued to excel, leveraging his expertise to deliver innovative data solutions for clients across various industries. His work with clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcased his versatility and adaptability in addressing diverse business challenges.

Contributions and Research Focus

Mr. Patel's contributions extend beyond his professional endeavors, with a notable presence in academia. As an accomplished author, he has published several papers in respected journals, focusing on advanced data visualization, data engineering challenges, and privacy-preserving techniques in analytics. His research not only demonstrates thought leadership but also contributes to the advancement of knowledge in the field of data science and engineering.

Accolades and Recognition

Throughout his career, Paraskumar Patel has garnered recognition for his contributions and achievements. His impactful work has been acknowledged by both peers and industry experts, cementing his reputation as a leader in the field of data engineering. Whether it's leading teams to success, delivering high-impact solutions for clients, or advancing research in academia, Patel's accomplishments have not gone unnoticed.

Impact and Influence

Mr. Paraskumar Patel's work has had a profound impact on the organizations he has been a part of, driving operational efficiencies, enhancing data accessibility, and fostering data-centric cultures. Through his leadership and technical expertise, he has empowered teams to deliver innovative solutions that drive business success and enable data-driven decision-making.

Legacy and Future Contributions

As Paraskumar Patel continues to make strides in his career, his legacy is one of excellence and innovation in the field of data engineering. His commitment to continuous learning, problem-solving, and collaboration sets a precedent for future generations of data professionals. Moving forward, he aims to further expand his contributions to academia and industry, shaping the future of data science and engineering through his research, leadership, and advocacy for ethical and responsible data practices.

Notable Publication

 

Irfanullah Khan – Information and Communication Technologies – Best Researcher Award 

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Mr. Irfanullah Khan - Information and Communication Technologies - Best Researcher Award 

University of Calabria - Italy

Author Profile

Early Academic Pursuits

Mr. Irfanullah Khan embarked on his academic journey with a keen interest in Electrical Engineering, specializing in Communication. He demonstrated early academic prowess, evident from his Higher Secondary School Certificate and Secondary School Certificate achievements in Science Group, laying a robust foundation for his future academic pursuits. His thirst for knowledge led him to pursue a Bachelor's degree in Electrical Engineering (Communication) from the esteemed University of Engineering & Technology Peshawar, Pakistan. During his undergraduate years, he delved into research, culminating in his thesis on "Real-Time Bus Arrival Information System," showcasing his early inclination towards innovative solutions to real-world problems.

Professional Endeavors

Mr. Khan's professional journey commenced with a significant milestone - securing a Teaching Certificate from Allama Iqbal Open University, Islamabad, Pakistan. This certification equipped him with the pedagogical skills necessary for his subsequent roles. Subsequently, he ventured into the realm of Information Technology, earning a Diploma in Information Technology from Pearl Lakki Marwat, Pakistan. His diverse educational background laid the groundwork for his multifaceted career trajectory.

His technical acumen and passion for research propelled him into the corporate world, where he served as a Technical Officer at China Mobile, Pakistan. This role provided him with hands-on experience in the telecommunications industry, honing his practical skills and understanding of industry dynamics. Additionally, his tenure as a Teaching & Research Assistant at the University of Calabria showcased his commitment to academia, where he imparted knowledge in Python Machine Learning to MS students, bridging the gap between theoretical concepts and practical applications.

Contributions and Research Focus

Mr. Khan's research focus spans a plethora of cutting-edge topics, including IoT, Energy Efficiency, Smart Buildings, Occupancy Prediction, and Activity Recognition. His doctoral research at the University of Calabria delves into the intersection of Information and Communication Technology, exploring innovative solutions to enhance energy efficiency and predictive analytics in smart building environments. His contributions to academia are underscored by a series of research publications, elucidating his expertise in areas such as UWB Radar Technology for Activity Recognition, Occupancy Prediction leveraging Federated Learning, and Priority-based Content Dissemination in Vehicular Networks.

Accolades and Recognition

Throughout his academic and professional journey, Mr. Khan has garnered prestigious accolades and recognition, validating his contributions to the field. Noteworthy achievements include receiving the Chinese Government Scholarship, Best Paper Award at an International IEEE Conference, and accolades for his exemplary Final Year Project during his undergraduate studies. These accolades underscore his academic excellence and innovative prowess, positioning him as a trailblazer in his field.

Impact and Influence

Mr. Khan's research endeavors have made a significant impact on academia and industry alike. His publications serve as seminal contributions to the field, addressing pressing challenges in IoT, Energy Efficiency, and Predictive Analytics. Furthermore, his role as a Teaching Assistant and Research Assistant underscores his commitment to knowledge dissemination and mentorship, shaping the next generation of scholars and practitioners in the field of Information and Communication Technology.

Legacy and Future Contributions

As Mr. Khan continues to advance in his academic and professional journey, his legacy is poised to leave an indelible mark on the field of Information and Communication Technology. His interdisciplinary research approach, coupled with a passion for innovation, promises to revolutionize smart building technologies and predictive analytics. With a commitment to excellence and a thirst for knowledge, Mr. Khan's future contributions are bound to shape the trajectory of research in IoT, Energy Efficiency, and beyond, leaving a lasting legacy for generations to come.

Notable Publication

Emad Alsusa – IoT (Internet of Things) Analytics – Best Researcher Award 

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Prof. Emad Alsusa - IoT (Internet of Things) Analytics - Best Researcher Award 

Manchester University - United Kingdom

Author Profile

Early Academic Pursuits

Prof. Emad Alsusa embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering, earning a Bachelor of Science degree with First Class Honors from Salford University in 1995, following which he pursued a PhD in Communication Engineering at the University of Bath, graduating in 2000. His academic excellence was evident even during his foundational year at Salford University, where he was recognized as the Top Student Award recipient.

Professional Endeavors

Alsusa's professional trajectory spans across prestigious institutions and significant roles in academia. He commenced his postdoctoral research at the University of Edinburgh in 2000 and later held various academic positions at the University of Manchester, progressively advancing from Lecturer to his current position as Reader in the Department of Electrical and Electronic Engineering. Noteworthy are his visiting appointments, particularly at Khalifa University in the UAE and the Technical University of Dresden, which reflect his international collaboration and recognition in the field.

Contributions and Research Focus On IoT (Internet of Things) Analytics

As a prolific researcher, Alsusa has made significant contributions to the field of Communication Engineering, evident through his extensive publication record, comprising over 296 peer-reviewed papers and three patents. His research focus encompasses diverse areas such as interference exploitation, adaptive cross-layer techniques for 5G communication systems, networking protocols for energy consumption reduction, and radar systems. Notably, his work on interference exploitation and novel interference management techniques has garnered international attention, leading to collaborations and recognition from esteemed institutions worldwide.

Accolades and Recognition

Prof. Alsusa's contributions have been recognized through numerous accolades, including Best Paper Awards at prestigious conferences such as the IEEE International Symposium on Networks, Computers & Communications, the IEEE International Conference on Wireless Communications & Networking, and the IEEE International Symposium on Power Line Communications. His leadership roles in professional societies, editorships of esteemed journals, and invitations to deliver talks and keynote addresses underscore his prominence in the academic community.

Impact and Influence

Beyond individual achievements, Alsusa has made a profound impact through his mentorship and supervision of numerous research students, with over 32 postgraduate researchers under his guidance. His leadership in research groups and consortia, as well as his involvement in organizing conferences and workshops, highlights his commitment to fostering collaborative research environments and advancing the field collectively.

The IoT Analytics Excellence Award recognizes outstanding achievements in leveraging data insights from connected smart devices to drive innovation and efficiency.

Legacy and Future Contributions

Prof. Emad Alsusa's legacy lies in his multifaceted contributions to Communication Engineering, spanning research, education, and professional service. His pioneering work, combined with his mentorship and leadership, has positioned him as a prominent figure in the field. Looking ahead, Alsusa continues to drive innovation and collaboration, aiming to address emerging challenges in wireless communication systems and leave a lasting impact on academia and industry.

Citations

  • Citations   4505
  • h-index       36
  • i10-index    105

Notable Publication