Mr. Sunawar Khan | Time Series and Forecasting | Research Excellence Award

National College of Business Administration | Pakistan

Mr. Sunawar Khan is a researcher, academic, and Peer Reviewer at Springer Nature with extensive experience in Artificial Intelligence, Machine Learning, Deep Learning, Smart Grids, Cyber Security, and intelligent data-driven systems. He has served in government education services and held academic roles as a Visiting Lecturer at the Islamia University of Bahawalpur, International Islamic University Islamabad, and as a Lab Administrator at the University of Central Punjab, Lahore. He holds an MS in Computer Science from International Islamic University Islamabad, along with degrees in Computer Science, Education, and Commerce. His research contributions span smart grids, renewable energy forecasting, intrusion detection systems, explainable AI, IoT, blockchain, healthcare analytics, and sustainable smart cities. Dr. Khan has authored and co-authored numerous high-impact journal articles published in leading outlets such as Scientific Reports, Discover Sustainability, Future Internet, IET Software, Measurement: Energy, Digital Communications and Networks, and Peer-to-Peer Networking and Applications. His work emphasizes applied AI solutions for sustainability, security, and performance optimization across diverse domains including energy, education, healthcare, and communication systems. With strong programming expertise in Java and Python, he combines analytical rigor with practical implementation, contributing to innovative research, interdisciplinary collaboration, and the advancement of intelligent technologies for societal benefit.

View Scopus Profile

Featured Publications