Laurel Walzak is an Associate Professor of the RTA Sport Media, Toronto Metropolitan University. In 2018, she founded the Global Experiential Sport Lab, known as GXSLab, a leading global sport media and sport technology research lab, operating in Canada. Walzak has an MBA with a focus on Finance, Smith School of Business, Queen’s University, is doing her PhD at London South Bank University’s Business School, UK, with a focus on sport audiences with quantitative and AI approaches. Walzak completed a Certificate in Artificial Intelligence for Business Implications, at MIT Sloan School of Management, CSAIL.

Prof. Dr. Khalid Hussain https://aiu.edu.my/our_team/sci-professor-dr-hussain-khalid/ khalid.hussain@aiu.edu.my Professor Dr. Khalid Hussain is working as a Professor in the School of Computing and Informatics at Albukhary International University Alor Setar Kedah Malaysia, In addition to this he is also a member of the Senate and a member of the Board of Governor at Albukhary International University. Before this he was working as a Professor of Cyber Security at Superior University Lahore and Campus Director at National Superior Institute of Science and Technology (NSIST) Islamabad, previously he had served as Dean of the Faculty of Computer Science and Campus Director in Barani Institute of Sciences ARID Agriculture University, for the last one and half years. He also served at The University of Lahore as Dean Faculty of Computer Science and Information Technology for three years. Dr. Khalid has vast university/industry experience. During his tenure in the industry, he served in defense-related projects, and in recognition of his services, he has been awarded commendation certificates by multiple government agencies. He joined academia in 2008 as a full-time faculty member. In addition to his teaching role, he has been involved in numerous research projects, ICT training, seminars, and workshops, especially in the domain of cybersecurity. He helps set up a pioneer setup for information/ network security certification in Pakistan. He also introduced EC Council certification under the first academia-industry partnership. That project started from a one-room office and has grown into a fully functional campus of RIPHAH University. He did his Ph.D. from Malaysia, under a fully funded UTM / HEC scholarship. Up till now, he published 141 papers, out of which 98 are ISI Indexed Impact Factor, 23 are in HEC-approved journals and 20 are in IEEE and ACM conferences. Except for this, he also has 17 book chapters and three books in his credit. His Cumulative Impact Factor is 83.032. He has completed six applied research projects in the domain of Information Security funded by NESCOM and other funding agencies. Currently, he has won three projects, one from the Fundamental Research Grants Scheme (FRGS), One Matching Grant, and One from the Selangor Research Grant. Up till now 21 MS and 03 Ph.D. students completed their research thesis under his supervision. Currently, he is supervising 13 MS and five Ph.D. students. In reward for his contribution towards Information Security SATHA awarded him, the Gold Medal, in 2015.

Prof.( Dr.) Ekbal Rashid is the Professor and Head in the Department of Computer Science and Engineering at RTC Institute of Technology since October 2019(Continue). Earlier he was associate professor in the department of computer science and Engineering in Aurora’s Technological and Research Institute Uppal, Hyderabad from April 2017 to September 2019. He has completed Master of Computer Application from Central University (IGNOU) , New Delhi in June 2003 and He has completed his M.Tech in Computer Science from Birla Institute of Technology, MESRA in 2009 and his Ph.D. in Computer Science and Engineering in May 2015 From Siksha O Anusandhan Deemed to be University Bhubaneswar, Odisha (Ranked Internationally by QS and THE World University Rankings 2023) He has supervised 2 Ph. D. Thesis (and one in pipeline) and 1 Master thesis in the area of Software Engineering, Machine Learning, Software Quality, Artificial Intelligence, Data Mining. Dr. Rashid has published around 50 research papers in international journals and conference proceedings of repute including Springer, IEEE, Inderscience and WSEAS. He is also serving as Editorial Board Member, Reviewer / Program Committee member in Reputed Journals and Conference. He has Invited as a keynote speaker at the National Conference of Empowerment of Rural Masses by Recent Advances in Application of Computer Technology towards Digital India Program, 11th & 12th March, 2016, sponsored by Chhattisgarh Council of Science and Technology, Organized by Dept. of Computer Applications, Shri Shankaracharya Technical Campus, (SSTC), Bhilai, Chhattisgarh. He has worked as a session chair for 5th IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications, Germany. He is Editor For the edited book series titled “Futuristic Trends in Artificial Intelligence” His research areas are software engineering, Software Quality, machine learning, data mining and artificial intelligence. He has participated in Faculty Development/Orientation Programme/Workshop/Training Programme more than 25 and Organized 5 Training/Seminars/ Guest Lectures/FDP. He has written two books on the topic of “Analogy-Based Software Cost Estimation” and “Enhancing Software Fault Prediction with Machine Learning: Emerging Research and Opportunities”. He has more than 18 years of teaching experience and more than 16 years of research experience in various reputable Institutes and Universities across the country.

Jani Babu Shaik is currently working as an AMS Design Engineer at Cyient Limited in Hyderabad, India. He has a Ph.D. (2022) in Electrical Engineering from Shiv Nadar University in Greater Noida, and a Master’s (2016) in Electronics and Communication Engineering from the National Institute of Technology in Hamirpur, India. His previous research work in reliable SRAM designs, neuromorphic circuits/system and machine learning has resulted in multiple conferences and journal articles. His research work received the best paper award and a travel grant at IEEE-iSES 2018 conference. He also served as reviewer for multiple international conferences and journals. His research interests include brain-inspired computing, advanced edge computing, machine learning, and techniques for designing low-power and reliable circuits.