Muhammad Hassaan Ashraf is a computer science researcher and educator specializing in computer vision, machine learning, and artificial intelligence. He earned his BS and MS degrees in Computer Science from COMSATS University Islamabad, where he also served as a Research Associate. Over the years, he has contributed to academia through various teaching and research roles, including positions at Abasyn University and COMSATS University Islamabad. He is currently a Lecturer at Riphah International University, where he teaches core subjects such as artificial intelligence, machine learning, and computer vision at both undergraduate and graduate levels. His research focuses on addressing real-world problems through intelligent systems, with applications in healthcare technologies and intelligent transportation systems. He is actively engaged in interdisciplinary research and aims to develop adaptive, AI-driven solutions to address societal challenges. Through his teaching and research, he continues to inspire innovation and promote academic excellence in the field of computer science.
Muhammad Nabeel Mehmood is a computer science researcher specializing in computer vision, machine learning, and artificial intelligence. He is currently a Teaching Fellow in the Faculty of Computing at Riphah International University, Islamabad. His research focuses on the application of intelligent systems to real-world challenges, particularly in healthcare technologies. He is actively involved in interdisciplinary research and is committed to developing adaptive, AI-driven solutions that address critical societal needs.
Dr. Musharif Ahmed is Assistant Professor and Head of the Department of Software Engineering & Computer Science at Riphah International University, Islamabad, Pakistan. With over 22 years of academic and research experience, he has led curriculum reforms, academic program development, and the implementation of outcome-based education across undergraduate computing programs.His research interests include machine learning, deep learning, synthetic data generation, precision agriculture, and evolutionary computing. He is the principal investigator of an ORIC-funded project on sugarcane varietal classification using deep learning and a collaborator on international research proposals under the Erasmus+ program.Dr. Ahmed has published in journals such as Biomedical Signal Processing and Control, Computer Science Review, Health and Technology, and the Turkish Journal of Electrical Engineering & Computer Sciences. He supervises MS and undergraduate research in software engineering and AI.He has represented Pakistan in Erasmus+ academic workshops across Europe and South Asia. He holds a PhD in Computing and a Postgraduate Diploma in Teaching & Ethics and works closely with the National Computing Education Accreditation Council (NCEAC) on program accreditation and quality assurance.
Dr. Dildar Hussain is an Assistant Professor in the Department of Artificial Intelligence and Data Science at Sejong University, Seoul, South Korea. He earned his Ph.D. in Biomedical Engineering from Kyung Hee University in 2019 and a B.S. in Computer Science from Kohat University of Science and Technology, Pakistan, in 2010.He began his research career at NUST, Pakistan, as a Research Associate on the Health Life Horizon (HLH) project, contributing to the development of HL7-compliant interoperability modules deployed at Shaukat Khanum Memorial Cancer Hospital and Citi Lab.From 2013 to 2019, he worked as an R&D Engineer at YOZMA BMTech Co., Ltd., South Korea, focusing on diagnostic imaging devices like DXA, X-ray, and ultrasound. He later joined the Korea Institute for Advanced Study (KIAS) as a Postdoctoral Research Fellow, affiliated with KAIST.
His research interests include medical imaging, computer vision, biomedical NLP, AI, machine learning, and deep learning. Dr. Hussain actively contributes to interdisciplinary advancements in AI-driven healthcare and intelligent systems.
