Jaehyun Chung| Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Jaehyun Chung| Computer Science and Artificial Intelligence | Best Researcher Award

Computer Science and Artificial Intelligence | Korea University | South Korea

Jaehyun Chung is a highly promising M.S. student at Korea University’s Artificial Intelligence and Mobility Laboratory, specializing in Generative AI, Reinforcement Learning, and Quantum AI applications. His research focuses on autonomous systems, AI-based mobility, defense technologies, and intelligent control, reflected in his involvement in over ten major R&D projects funded by prestigious Korean institutions. He has co-authored several high-impact journal articles and conference papers, including works published or under review in IEEE Transactions and ACM venues, and has earned multiple student paper awards, such as the IEEE Seoul Section Bronze Paper Award. Jaehyun demonstrates strong interdisciplinary capability, applying advanced AI techniques to fields as diverse as torpedo evasion, space rocket stabilization, and stock market prediction. Although early in his academic career, his rapid research output, national recognition, and contributions to innovative, real-world AI applications position him as an outstanding young researcher with exceptional potential for future impact.

Professional Profile 

Educational 

Jaehyun Chung pursued both his undergraduate and graduate studies at Korea University, one of South Korea’s leading institutions. He earned his Bachelor of Science (B.S.) in Electrical and Computer Engineering from the College of Engineering, completing the program between March 2017 and August 2023. Following his undergraduate success, he continued at Korea University to pursue a Master of Science (M.S.) in Electrical and Computer Engineering, starting in September 2023, where he is currently engaged in advanced research in Artificial Intelligence and Mobility. His academic path reflects a strong and consistent focus on engineering and cutting-edge AI technologies.

Professional Experience 

Jaehyun Chung is currently serving as a Research Assistant at the Artificial Intelligence and Mobility Laboratory at Korea University since September 2023, under the guidance of Professor Joongheon Kim. In this role, he actively contributes to a wide range of advanced R&D projects focused on AI-based autonomous systems, reinforcement learning, and quantum AI technologies. His professional experience includes hands-on involvement in nationally funded initiatives such as the Quantum Hyper-Driving Project, AI Bots Collaborative Platform, and Learning-Based Swarm Mission Planning Algorithms, among others. Jaehyun’s work spans across various sectors including defense, mobility, construction, and education, highlighting his ability to apply AI innovations to real-world challenges through practical, cross-disciplinary research collaborations.

Research Interests 

Jaehyun Chung’s research interests lie at the intersection of Artificial Intelligence, Autonomous Systems, and Quantum Computing. He is particularly focused on Generative AI technologies, including Transformer-based architectures, and their application in dynamic environments. A key area of his work involves AI-based Autonomous Control, where he utilizes advanced Reinforcement Learning techniques to optimize decision-making in systems such as autonomous vehicles, robotic platforms, and defense mechanisms. Additionally, his growing involvement in Quantum Reinforcement Learning and Federated Learning reflects a forward-looking approach to building scalable and intelligent systems. His research is deeply interdisciplinary, targeting real-world problems in mobility, finance, aerospace, and military applications through the lens of cutting-edge AI innovation.

Awards and Honors 

Jaehyun Chung has received several prestigious awards recognizing his innovation and excellence in research at an early stage in his academic career. In December 2024, he was honored with the IEEE Seoul Section Best Student Bronze Paper Award for his impactful work on stock prediction using correlation graph-based proximal policy optimization. In November 2024, he received the Outstanding Paper Award from the Korean Institute of Communications and Information Sciences (KICS) for his research on reinforcement learning-based countermeasure tactics against torpedo threats. Additionally, he earned another Bronze Paper Award at the IEEE Seoul Section Student Paper Contest in December 2023 for developing reinforcement learning strategies for aircraft taxi routing. These accolades reflect Jaehyun’s strong analytical skills, innovative thinking, and significant contributions to the fields of AI and autonomous control.

 Publications 

Title: Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
Authors: S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J. Kim
Year: 2024
Cited by: 19

Title: Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach
Year: 2024
Cited by: 17

Title: Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
Authors: G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
Year: 2024
Cited by: 4

Title: DDPG-based Deep Reinforcement Learning Tactics for Defending Torpedo Attacks
Authors: J. Chung, C. Im, J. Choi, Y. Yoon, S. Park
Year: 2024
Cited by: 1

Title: Correlation-Assisted Spatio-Temporal Reinforcement Learning for Stock Revenue Maximization
Year: 2025

Title: Multi-Modal LLM-Based Fully-Automated Training Dataset Generation Software Platform for Mathematics Education
Year: 2025

Title: Trends in Reinforcement Learning Methods for Stock Prediction
Year: 2024

Conclusion 

Jaehyun Chung is an exceptionally strong early-career researcher who demonstrates intellectual depth, research versatility, and practical relevance across AI domains. He possesses all the qualities sought in a Best Researcher Award.

Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Dr. Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Lecturer at Manchester Metropolitan University, United Kingdom

Dr. Maksym Koghut is an accomplished academic and researcher at Manchester Metropolitan University Business School, UK, with a robust interdisciplinary background spanning management, engineering, and financial sciences. He holds a PhD in Management from the University of Kent and has taught at several leading UK institutions, delivering modules in digital transformation, blockchain, strategy, and innovation. His research focuses on the strategic implications of digital technologies, inter-organisational trust, and AI in business contexts, with publications in high-quality journals and presentations at prominent international conferences. In addition to his academic credentials, Dr. Koghut brings substantial industry experience through leadership roles in multiple startups across the UK and Ukraine. He is a Fellow of the Higher Education Academy and has been recognized with several academic and teaching awards, reflecting his excellence in both research and pedagogy.

Professional Profile 

🎓 Education of Dr. Maksym Koghut

Dr. Maksym Koghut has pursued a dynamic and interdisciplinary educational journey across the UK and Ukraine. He earned his PhD in Management from the University of Kent (2018–2021), where he developed a strong foundation in strategic management and digital transformation. Prior to that, he completed a BA (Hons) in Business Information Management at the University of Huddersfield (2014–2017), and a BA (Hons) in Financial Management from the Inter-Regional Academy of Personnel Management, Ukraine (2010–2012), highlighting his grounding in both information systems and finance. His academic path began with a BEng (Hons) in Mechanical Engineering from Cherkassy Engineering and Technological Institute, Ukraine (1995–2000), demonstrating a solid technical and analytical base. This unique combination of disciplines enhances his expertise in digital business, innovation, and organizational strategy.

💼 Professional Experience of Dr. Maksym Koghut

Dr. Maksym Koghut brings a wealth of professional experience that bridges academia and industry. He is currently a Lecturer at Manchester Metropolitan University Business School, where he leads and teaches postgraduate and degree apprenticeship modules focused on blockchain, digital transformation, and Industry 4.0. His previous academic roles include lecturing positions at Coventry University London, the University of Kent, and the University of Huddersfield, where he developed and led modules in strategic management, digital information systems, innovation, and entrepreneurship. Beyond academia, Dr. Koghut has a strong entrepreneurial background, having founded and directed several businesses in the UK and Ukraine, including Script Software Ltd (a robotics software company), MotorHood Platform Ltd, and other ventures in automotive services, photography, and industrial equipment. This dual experience in research and real-world business operations uniquely positions him as a thought leader in digital enterprise and innovation.

🔬 Research Interests of Dr. Maksym Koghut

Dr. Maksym Koghut’s research interests lie at the intersection of digital transformation and strategic management in modern business environments. He focuses on the strategic implications of emerging technologies such as blockchain, artificial intelligence, and augmented/extended reality (XR), especially in the context of inter-organisational relationships and digital enterprises. His work explores how social capital, trust, and innovation evolve in digitally networked ecosystems, offering insights into how organisations adapt and thrive amid rapid technological change. Dr. Koghut also investigates consumer behavior in digital settings, including mobile payment discontinuance and AI-generated advertising. His research is both conceptually grounded and practically relevant, contributing to academic scholarship and informing industry practices in the digital age.

🏆 Awards and Honors of Dr. Maksym Koghut

Dr. Maksym Koghut has been recognized multiple times for his outstanding contributions to both research and teaching. He received the “Above & Beyond Award” twice from Kent Business School in 2022 for excellence in teaching at both undergraduate and postgraduate levels. His academic journey has been supported by prestigious scholarships, including the Vice Chancellor’s Research Scholarship from the University of Kent in 2018 and the Vice Chancellor’s Scholarship for PhD Studies from Huddersfield Business School in 2017. Additionally, he was awarded the Strategic Planning Society Prize for being the Best Student in Strategy at Huddersfield Business School in 2017. These honors highlight Dr. Koghut’s consistent excellence, dedication, and impact in the academic and professional communities.

🏁 Conclusion

Dr. Maksym Koghut is a compelling and highly suitable candidate for the Best Researcher Award. He brings together a rich combination of academic excellence, cutting-edge research, teaching innovation, and industry engagement. His interdisciplinary expertise and consistent scholarly output in contemporary digital business themes position him as a thought leader in the digital transformation domain.

📚 Publications Top Noted

  1. Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2021
    Citation: Academy of Management Proceedings, 2021-08
  2. Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2021
    Citation: Academy of Management Proceedings, 2021-08
  3. Title: The Effects of Autonomous Contracting on Inter-organisational Relationships: A Process Model of Trust, Social Capital and Value Co-creation
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2020
    Citation: British Academy of Management Annual Conference, 2020-09-04
  4. Title: The Blockchain-Trust Nexus: A New Era for Inter-organizational Trust Meaning and Formation
    Authors: Maksym Koghut, Omar Al-Tabbaa, Martin Meyer
    Year: 2019
    Citation: Academy of Management Proceedings, 2019-08
  5. Title: Modelling Decentralised Collaboration Between Engineering Teams: A Blockchain-based Solution
    Authors: Maksym Koghut, John Makokha
    Year: 2018
    Citation: VI International Scientific and Technical Conference, 2018-09-01

Raviteja Sista | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Raviteja Sista | Computer Science and Artificial Intelligence | Best Researcher Award

Research Scholar at Indian Institute of Technology Kharagpur, India

Raviteja Sista is a dynamic and accomplished researcher specializing in Artificial Intelligence, Deep Learning, and Medical Image Analysis. Currently pursuing his Ph.D. at the Indian Institute of Technology Kharagpur with an outstanding GPA of 9.4, he is a recipient of the prestigious Prime Minister’s Research Fellowship. Raviteja holds an MSc in Signal Processing and Communications from the University of Edinburgh and a Bachelor’s in Electronics and Communication Engineering from Osmania University. His research focuses on developing AI-driven frameworks for surgical planning and outcome prediction, with notable contributions to multimodal graph-based learning and surgical video analysis. He has published extensively in top-tier journals such as Medical Image Analysis and Computers in Biology and Medicine, and has actively contributed to international AI challenges and symposia. His technical expertise, academic excellence, and dedication to solving real-world healthcare problems through AI make him a standout figure in the research community.

Professional Profile 

🎓 Education of Raviteja Sista

Raviteja Sista has pursued a stellar academic path marked by excellence and innovation. He is currently enrolled in a Ph.D. program at the Indian Institute of Technology Kharagpur, specializing in Artificial Intelligence at the Centre of Excellence, where he maintains an impressive GPA of 9.4/10. Prior to this, he earned his Master of Science in Signal Processing and Communications with Distinction from the University of Edinburgh (2019–2020). His foundational engineering training was completed with a Bachelor of Engineering in Electronics and Communication from M.V.S.R. Engineering College, affiliated with Osmania University, where he secured a remarkable 85.34%. Raviteja also boasts an outstanding academic record from his early years, achieving 94.6% in Intermediate studies at Narayana Junior College and a CGPA of 9.8/10 in Class X from Lotus National School, Hyderabad.

💼 Professional Experience of Raviteja Sista

Raviteja Sista has a well-rounded professional background that bridges academia, research, and industry. He is currently a Teaching Assistant at IIT Kharagpur, where he supports academic instruction in AI and deep learning. Over the years, he has held teaching roles at several institutions including SRKR Engineering College, CSI Wesley Institute of Technology, Assam Down Town University, and JNTU Kakinada, demonstrating his commitment to education and knowledge dissemination. Complementing his academic roles, Raviteja also gained valuable industry experience as an Associate Software Developer Intern at Accenture Solutions Pvt. Ltd. and through multiple internships at Defence Research and Development Laboratory (DRDL), Hyderabad. His professional journey reflects a strong blend of research, software development, and teaching expertise, all anchored in the field of artificial intelligence and signal processing.

🔬 Research Interests of Raviteja Sista

Raviteja Sista’s research interests lie at the intersection of artificial intelligence and healthcare, with a strong focus on applying deep learning techniques to complex real-world problems. His core areas of interest include Deep Learning, Medical Image Analysis, Digital Signal Processing, Image Processing, Artificial Intelligence, and Design of Algorithms. He is particularly passionate about developing AI-powered systems for surgical planning and automation, leveraging multimodal data, graph neural networks, and computer vision. His work aims to enhance patient safety, improve clinical outcomes, and drive innovation in intelligent medical systems. Raviteja’s commitment to impactful, interdisciplinary research is evident in his projects and publications, which bridge technical depth with healthcare relevance.

🏅 Awards and Honors of Raviteja Sista

Raviteja Sista has been recognized with several prestigious awards and honors that highlight his academic brilliance and research potential. Most notably, he was awarded the Prime Minister’s Research Fellowship (PMRF) in 2022, one of India’s most esteemed research fellowships supporting exceptional doctoral scholars. He also earned a Certificate of Merit for completing the “Advanced Certification in Artificial Intelligence and Machine Learning” from IIIT Hyderabad in 2019. Additionally, Raviteja demonstrated national-level academic excellence by ranking in the Top 3% among over 1 lakh candidates in GATE 2019, a highly competitive examination for engineering graduates in India. These accolades reflect his consistent pursuit of excellence and his growing reputation as a promising researcher in the field of artificial intelligence.

🧾 Conclusion 

Sista Raviteja stands out as a highly qualified, technically accomplished, and visionary researcher in AI for healthcare. With strong academic credentials, impactful projects, respected publications, and active involvement in the scientific community, he demonstrates clear potential for leadership in scientific research.Despite minor areas of potential growth in independent authorship and translational work, his contributions already meet and, in some cases, exceed the typical benchmarks for the Best Researcher Award.

📚 Publications Top Noted

  1. Title: Deep neural hashing for content-based medical image retrieval: A survey
    Authors: A. Manna, R. Sista, D. Sheet
    Journal: Computers in Biology and Medicine, Volume 196, Article 110547
    Year: 2025
    Citations:
  2. Title: Artificial Intelligence (AI)–Based Model for Prediction of Adversity Outcome Following Laparoscopic Cholecystectomy—a Preliminary Report
    Authors: R. Agrawal, S. Hossain, H. Bisht, R. Sista, P.P. Chakrabarti, D. Sheet, U. De
    Journal: Indian Journal of Surgery, Volume 87 (1), Pages 52–59
    Year: 2025
    Citations: 1
  3. Title: Exploring the Limits of VLMs: A Dataset for Evaluating Text-to-Video Generation
    Authors: A. Srivastava, R. Sista, P.P. Chakrabarti, D. Sheet
    Conference: Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP)
    Year: 2024
    Citations:
  4. Title: SimCol3D—3D reconstruction during colonoscopy challenge
    Authors: A. Rau, S. Bano, Y. Jin, P. Azagra, J. Morlana, R. Kader, E. Sanderson, …, R. Sista
    Journal: Medical Image Analysis, Volume 96, Article 103195
    Year: 2024
    Citations: 16
  5. Title: CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
    Authors: C.I. Nwoye, T. Yu, S. Sharma, A. Murali, D. Alapatt, A. Vardazaryan, K. Yuan, …, R. Sista
    Journal: Medical Image Analysis, Volume 89, Article 102888
    Year: 2023
    Citations: 29
  6. Title: CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
    Authors: C.I. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, T. Xia, F. Jia, …, R. Sista
    Journal: Medical Image Analysis, Volume 86, Article 102803
    Year: 2023
    Citations: 61
  7. Title: CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
    Authors: C.I. Nwoye, T. Yu, S. Sharma, A. Murali, D. Alapatt, A. Vardazaryan, …, R. Sista
    Repository: arXiv, arXiv:2302.06294
    Year: 2023
    Citations:
  8. Title: I’m GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets
    Authors: R. Sista, R. Sathish, R. Agrawal, U. De, P.P. Chakrabarti, D. Sheet
    Conference: ICVGIP 2022
    Year: 2022
    Citations: 1
  9. Title: CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
    Authors: C.I. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, …, R. Sista
    Repository: arXiv, arXiv:2204.04746
    Year: 2022
    Citations: 1
  10. Title: I’m GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets
    Authors: S. Raviteja, R. Sathish, R. Agrawal, U. De, P.P. Chakrabarti, D. Sheet
    Conference: ICVGIP
    Year: 2022
    Citations:
  11. Title: Challenges of Decomposing Tools in Surgical Scenes Through Disentangling The Latent Representations
    Authors: S.L. Gorantla, R. Sista, A. Srivastava, U. De, P.P. Chakrabarti, D. Sheet
    Workshop: ICLR Workshop on Challenges in Applied Deep Learning (ICBNB)
    Year: 2025 (Accepted)
    Citations: