AIoT Innovations in Digital Health

Dr. Inam Ullah Khan is the Founder of the Internet of Flying Vehicles Lab at AI-EYS. He has recently been working as a Global Mentor/Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was a visiting researcher at King’s College London, United Kingdom. He has also served as a faculty member at various universities in Pakistan, including the Center for Emerging Sciences Engineering and Technology (CESET), Islamabad; Abdul Wali Khan University, Garden Campus, Timergara Campus; University of Swat; and Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. Dr. Khan completed his Ph.D. in Electronics Engineering from the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He earned his M.S. degree in Electronic Engineering at the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS), and his undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He has authored/co-authored more than 50 research articles in reputable journals, conferences, and book chapters. He has served in many international conferences as a session chair or technical program committee member, as well as a Guest Editor with many prestigious international journals. His research interests include Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning.

Dr. Salma El Hajjami

Dr. Salma El Hajjami holds an Eng. and Ph.D. She is an Assistant Professor and Researcher at the Faculty of Science, Ibn Zohr University, Agadir, Morocco, since 2021. She earned her Ph.D. in Computer Science in 2021 from the Laboratory of Artificial Intelligence, Data Science and Emerging Systems at ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, graduating in 2015 from the National School of Applied Sciences Fez, Morocco. She is a member of the International Association of Engineers (IAENG) and the International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data, published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science, and Blockchain.

Dr. Shashi Kant Gupta

Dr. Shashi Kant Gupta is a Post-Doctoral Fellow and Researcher in Computer Science and Engineering at Eudoxia Research University, USA, in collaboration with Eudoxia Research Centre, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India. He is currently the Founder and CEO of CREP PVT. LTD., Lucknow, UP, India. He has been a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many other international organizations for research activities. He is the Editor-in-Chief of the International Journal of Data Informatics and Intelligent Computing (IJDIIC). He has published numerous research papers in reputable international journals and presented many papers at national and international conferences and seminars. He holds several Indian patents in the fields of information technology, computer science, and management, with one Indian patent pending approval. He also has multiple granted German patents. Dr. Gupta possesses over 10 years of teaching experience, 2 years of industrial experience, and more than 2 years as CEO and Founder of a firm. His primary research focuses on performance enhancement through Cloud computing, Big Data Analytics, IoT, and Computational Intelligence-based Education.

Dr. Hameedur Rahman

Dr. Hameedur Rahman received his BS and MS degrees in software engineering with multimedia from Limkokwing University of Creative Technology, Malaysia, and his Ph.D. degree in Computer Science from the Faculty of Information Science and Technology, University of Kebangsaan Malaysia, Bangi, Malaysia. He has 10 years of industrial experience in multinational companies. Dr. Rahman is currently an Associate Professor at AIR University and a senior Research Member of the Center for Artificial Intelligence Technology, where he also serves as Head of the Department of Computer Games Development. He has received international awards, including the Itex Bronze Medal of Innovation, Malaysia, and was a winner of the NASA Space App and Virtual Reality Arena. His research interests include augmented reality, virtual reality, image processing, cryptography, Natural Language Processing, Data Mining, mobile technology, artificial intelligence, automation, and medical radiological technology.

Dr. Y. Thiagarajan

Dr. Y. Thiagarajan (MIE, MISTE) is an Atal Mentor of Change and currently serves as an Associate Professor and Head of Department in the Department of Electrical and Electronics Engineering at Christ College of Engineering and Technology, Puducherry, India. He has been teaching undergraduate students in Electrical and Electronics Engineering for the past 14 years and is a Member of the Board of Studies and the Doctoral Committee. He presently serves on the Editorial Board and as a Reviewer for various reputed journals. He is a Fellow member of the Solar Energy Society of India, a member of the Institute of Engineers, a senior member of the IRD, and a Life member of ISTE, among other professional bodies. He is the recipient of the Best Faculty Award 2019, awarded by Vasavi International Trust. He was selected as a Mentor for CSIR SRTP NEST 2020. He holds one Indian Patent Grant, one Australian Innovation Patent Grant, and one Copyright Grant. His fields of interest include IoT in renewable energy, AI for E-vehicles, Microbial Fuel cells (PEM), power converters and energy conservation, fuel cell technology, and biomedical engineering.

Dr. Inam Ullah

Dr. Inam Ullah received his B.Sc. degree in Electrical Engineering (Telecommunication) from the Department of Electrical Engineering, University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016. He obtained his Master’s and Ph.D. degrees in Information and Communication Engineering from the College of Internet of Things (IoT) Engineering, Hohai University (HHU), Changzhou Campus, China, in 2018 and 2022, respectively. He completed his postdoc with Brain Korea 2021 at the Chungbuk Information Technology Education and Research Center, Chungbuk National University, Cheongju, South Korea, from October 2022 to March 31, 2023. He is currently an Assistant Professor at the Department of Computer Engineering, Gachon University, South Korea. He has authored more than 70 peer-reviewed articles on various research topics and serves as a reviewer for many prominent journals. His awards and honors include the Best Student Award from USTB in 2015, the Prime Minister Laptop Scheme Award from USTB in April 2015, Top-10 students awards from the College of IoT Engineering and Hohai University in June 2019, the Jiangsu Province Distinguished International Student award (30,000 RMB) in 2019-2020, Certificates of Recognition from Hohai University in 2021 & 2022, Top-100 students awards from Hohai University in June 2019 and May 2022, Top-10 Outstanding Students Award from Hohai University in June 2022, and the Distinguished Alumni Award from USTB in October 2022. His research interests include Robotics, the Internet of Things (IoT), Wireless Sensor Networks (WSNs), Underwater Communication and Localization, Underwater Sensor Networks (USNs), Artificial Intelligence (AI), Big data, and Deep learning.

Dr. Muhammad Adnan Khan

Dr. Muhammad Adnan Khan (Senior Member, IEEE) is currently an Associate Professor in the School of Computing, Skyline University College, Sharjah, UAE. He completed his Ph.D. from ISRA University, Islamabad, Pakistan, with a scholarship award from the Higher Education Commission, Islamabad, Pakistan, in 2016. He also completed his MS and BS degrees from the International Islamic University, Islamabad, Pakistan, with a scholarship award from the Punjab Information and Technology Board, Government of Punjab, Pakistan. Before joining Skyline University College, Dr. Khan held various academic and industrial positions in Pakistan and the Republic of Korea. He has been teaching graduate and undergraduate students in computer science and engineering for the past 15 years. He has published over 240 research articles in reputable international journals and international conferences. Dr. Khan’s research interests primarily include Machine Learning, Deep Learning, Applications of Computational Intelligence, Smart Health, Smart City, Federated Learning, Extreme Machine Learning, MUD, Image Processing and Medical Diagnosis, and Channel Estimation in Multi-Carrier Communication Systems Using Soft Computing.