Head of Department & Associate Professor, NASTP Institute of Information Technology, Lahore, Pakistan
Dr. Ali Arshad is an accomplished academic and researcher with expertise in Artificial Intelligence and Healthcare. He holds a Ph.D. in Computer Science and Technology from Xidian University, China, and has over 15 years of experience in academia and research
Profile
Google Scholar
Education🎓
Dr. Ali Arshad completed his Ph.D. in Computer Science and Technology from Xidian University, China, focusing on Semi-Supervised Deep Fuzzy C-Mean Clustering and Classification. Prior to that, he obtained an MS in Software Engineering from the International Islamic University, Islamabad, and a BS in Computer Science from IQRA University, Islamabad.
Experience 💼
With a rich background spanning 15 years, Dr. Arshad has held various academic and professional positions. Notably, he served as an Assistant Professor at institutions like the National University of Technology and Abasyn University. He also worked as a Research Associate at Xidian University and held managerial roles in software development.
Research Interests 🧠
Dr. Arshad’s research interests lie at the intersection of Artificial Intelligence and Healthcare. He aims to leverage AI methods to revolutionize healthcare practices and innovate solutions for better patient care.
Awards 🏆
Dr. Arshad has received prestigious awards and recognition for his contributions to research and academia. Notably, he was awarded a Full Bright Scholarship for his Ph.D. studies and has won Best Paper Awards at international conferences.
Publications 📚
- Emergence of Novel WEDExKerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks, 2024, Symmetry.
- An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault, 2023, Computers, Materials & Continua.
- An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications, 2023, Discover Internet of Things.
- Hill Matrix and Radix-64 Bit Algorithm to Preserve Data Confidentiality, 2023, Computers, Materials & Continua.
- Deep Bimodal Fusion Approach for Apparent Personality Analysis, 2022, Computers, Materials & Continua.