Assoc. Prof. Youna Jung
							Northeastern University, USA
							
							Youna Jung serves as an associate teaching professor 
							at Northeastern University's Khoury College of 
							Computer Science in Arlington. Prior to joining 
							Northeastern, she worked at the Virginia Military 
							Institute as a tenured faculty member and at the 
							University of Florida as a research faculty member. 
							Her research pursuits revolve around artificial 
							intelligence, IoT, collaborative computing, and 
							cybersecurity, and she has published over 50 papers 
							in journals, conference proceedings, and books. For 
							more information about her background and 
							accomplishments, please refer to her LinkedIn 
							profile: 
							https://www.linkedin.com/in/youna-jung-4755b28.
							
							
							
							
							
							
							
							
							
Asst. Prof. Jeyaprakash Chelladurai
							East Stroudsburg University of Pennslyvania, USA
							
							Dr. Jeyaprakash (Jey) Chelladurai is an Assistant 
							Professor in the Computer Science Department at East 
							Stroudsburg University, specializing in Biological 
							Modeling, Graphics, Animation, and Virtual Reality. 
							Jey commenced his research career as a master’s 
							student at the University of Northern British 
							Columbia, focusing on CPU scheduling algorithms. 
							Later, he pursued his Ph.D. under the guidance of 
							the world-renowned scientist, Dr. Przemysław 
							Prusinkiewicz, at the University of Calgary, 
							dedicating over six years to research on 
							computational models of plant development, which 
							incorporates concepts from mathematics and physics, 
							in addition to computer science. He is an 
							enthusiastic educator with nine years of teaching 
							experience, and several of his former students are 
							now employed at Amazon, Siemens, Walt Disney 
							Studios, and Lockheed Martin.
							
							
							
							
							
							
Senior Lecturer Razia Sulthana Abdul Kareem
							University of Greenwich, UK
							
							Dr. Razia Sulthana Abdul Kareem is an academic and 
							researcher in the field of Computer Science and 
							Artificial Intelligence, with over a decade of 
							experience in higher education and research. She 
							currently serves as a Senior Lecturer in the 
							Department of Computing and Mathematical Sciences at 
							the University of Greenwich, UK.
							Her expertise spans across Machine Learning, 
							Artificial Intelligence, Big Data Analytics, and 
							Computer Vision, with a strong focus on real-world 
							applications, including healthcare, agriculture, and 
							remote sensing. She is actively involved in 
							collaborative projects with the Natural Resources 
							Institute, University of Greenwich, developing 
							machine learning solutions for fungal infection 
							detection in stored fruits and real-time vegetation 
							canopy segmentation.
							Dr. Razia has an extensive publication record, with 
							40 international journal articles published in IEEE, 
							Elsevier, Springer, and other reputed platforms, 
							along with 8 conference papers, 2 book chapters, and 
							3 patents. She has also served as an invited keynote 
							speaker and session chair at multiple international 
							conferences and faculty development programs. She 
							has received multiple certifications from IBM, 
							NVIDIA, Microsoft, Udacity, and Coursera, further 
							strengthening her technical expertise.
							Recognized for her contributions to academia, Dr. 
							Razia is a Fellow of the Higher Education Academy 
							(FHEA, UK). Her work continues to make a significant 
							impact on the fields of AI, machine learning, and 
							applied data science, with a commitment to fostering 
							innovation and sustainable technological solutions.
							
							
							
							
							
	
							
							
							
Prof. Uma N Dulhare
							Muffakham Jah College of Engineering & Technology, India
							
							Dr. Uma N Dulhare is a Professor and Head of the 
							Department CS&AI, Muffakham Jah College of 
							Engineering & Technology, Hyderabad, and Telangana, 
							India. She obtained Doctor of Philosophy (Ph.D.) 
							from Osmania University, Hyderabad, and Telangana, 
							India. She has been teaching for more than 20 years. 
							Her research interests include Artificial 
							Intelligence, Big Data Analytics, Bio-Informatics, 
							Machine Learning, Deep Learning, Soft Computing. She 
							published more than 40 papers in various journals 
							and conferences. She served as a technical committee 
							member for more than 30 international conferences. 
							She edited 5 books with various leading publishers 
							like springer, and Taylor and Francis. She is a 
							Senior member of Hong Kong Society of Robotics and 
							Automation, Member of IEEE SMC,IEEE GRSS and life 
							fellow of International Society of Research and 
							Development (ISRD), UK, a fellow of Institute of 
							Electronics and Telecommunication Engineers (IETE), 
							member of Association for Computing Machinery (ACM), 
							USA. Life member Indian Society for Technical 
							Education (LMISTE), International Association for 
							Engineers (IAENG), Hong Kong, Computer Science 
							Teachers Association (CSTA), USA,. Dr Uma N Dulhare 
							received as Best Professor in Computer Science & 
							Engineering, Best Teaching & Research Excellence, 
							Best Academic Researcher.
							
							
							
							
						
							
							
							
Asst. Prof. Omer Gibreel
							Gulf University for Science and Technology, Kuwait
							
							Dr. Omer Gibreel is an Assistant Professor at Gulf 
							University for Science and Technology in Kuwait. He 
							previously served as Dean of the College of 
							Administrative Science and Assistant Professor at 
							National University Sudan, and as an Adjunct 
							Assistant Professor at Khartoum University. He has 
							also contributed as a Mentor for the Clinton Global 
							Initiative University, focusing on sustainable 
							systems and innovation. A Fulbright scholar, he was 
							honored with the U.S. Presidential Education Award 
							for “outstanding educational improvement in pursuit 
							of academic excellence” by President Bill Clinton. 
							He holds a Ph.D., a Master’s degree from Seoul 
							National University, and dual bachelor’s degrees 
							from Korea University.
							Dr. Gibreel’s research focuses on AI literacy and 
							Knowledge Management, alongside system analysis and 
							design, e-commerce, social commerce, frugal 
							innovation, and ICT for Development. His recent work 
							in Generative AI led to the development of the 
							Prompt Engineering Competency Scale (PECS)—the first 
							validated scale to assess prompt engineering 
							competence. Prompt engineering is now recognized as 
							a key skill within AI literacy, enabling users to 
							harness generative AI technologies effectively.
							His research has been published in leading journals 
							such as Electronic Commerce Research and 
							Applications, Information Development, Journal of 
							Innovation & Knowledge, and The Journal of Medical 
							Internet Research, and presented at major global 
							conferences including PACIS and ICISS.