Topical Advisory Panel for section “Computer Science and Information Technology”

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Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Prof. Paul Andrew
Deadline: 30 Novermber 2025

Special Issue on Computing, Engineering and Sciences
Guest Editors: Prof. Paul Andrew
Deadline: 30 April 2025

Topical Advisory Panel for section “Computer Science and Information Technology”

Members

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Dr. Kapila W. S. Palitharathna

Department of Electrical and Computer Engineering, University of Cyprus, Cyprus
Interests: Visible light communication (VLC); underwater optical wireless communication (UOWC); non-orthogonal multiple access (NOMA); relay-assisted communication; simultaneous lightwave information and power transfer (SLIPT); intelligent reflective surfaces (IRS); machine learning for communication
Dr. Sanjay Agal

Department of Computer Science & Engineering, Parul University, India
Interests: Data Science, Data analytics
Dr. Samiullah Paracha

Xian Jiaotong-Liverpool University, China
Interests: AI, IVR/XR, Serious Games, ITS, LMS, EdApps
Dr. Ali Al-Shuwaili

College of Engineering / Department of Media Technology and Communications Engineering (MTCE), University of Information Technology and Communications (UOITC), Iraq
Interests: Wireless/Optical Communications, Optimization and machine learning, Networking, Information Theory
Dr. Zohaib Mushtaq

College of Engineering and Technology, Department of Electrical Electronics and Computer Systems, University of Sargodha, Pakistan
Interests: Artificial Intelligence, Machine and Deep Learning, Feature Engineering, Bio medical Engineering
Dr. Santosh Reddy Addula

Information Technology, University of the Cumberlands, United States
Interests: AI, ML, Cloud, Cybersecurity, Blokchain, IoT, Supplychain, IT Healthcare
Dr. Mahesh Maurya

St. John College of Engineering and Management (Autonomous), Department of Computer Engineering, Mumbai University, India
Interests: Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Distributed Computing, Deep Learning

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