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Dr Mohammad Khalid Imam Rahmani SMIEEE

Dr Dr Mohammad Khalid Imam Rahmani SMIEEE

Associate Professor
Saudi Electronic UniversitySaudi Arabia
03
04

Research focus

MOHAMMAD KHALID IMAM RAHMANI, a Senior IEEE Member, was born in Patherghatti, Kishanganj, Bihar, India in 1975. He received the B.Sc. (Engg.) and the M.Tech. degrees in Computer Engineering from Aligarh Muslim University, India in 1998 and Maharshi Dayanand University Rohtak in 2010 respectively, and the Ph.D. degree in Computer Science Engineering from Mewar University, India, in 2015. From 1999 to 2006, he was a Lecturer at Maulana Azad College of Engineering and Technology, Patna. From 2006 to 2008, he was a Lecturer and Senior Lecturer with Galgotias College of Engineering and Technology, Greater Noida. From 2010 to 2011, he was an Assistant Professor at MVN, Palwal. Presently, he is working as an Associate Professor in the Department of Computer Science, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia. His research interests include Algorithms, IoT, Cryptography, Image Retrieval, Pattern Recognition, Machine Learning, and Deep Learning. He has published more than 70 research papers in journals and conferences of international repute, 3 book chapters, and holds one USA patent and another Australian patent of innovation.

SDG targets

3.4

Reduce mortality from non-communicable diseases and promote mental health

3.6

Reduce road injuries and deaths

3.8

Achieve universal health coverage

3.D

Improve early warning systems for global health risks

4.2

Equal access to quality pre-primary education

4.3

Equal access to affordable technical, vocational and higher education

4.7

Education for sustainable development and global citizenship

Projects

Smart City Surveillance: A Game Changing Mission to Counter Terrorism, Blockchain-Enabled Decentralized Trustworthy Framework Envisioned for Patient-Centric Community Healthcare, An Intelligent Transport System for Prediction of Urban Traffic Congestion Level, Bubble Detection in Glass Manufacturing Images using Generative Adversarial Networks, Filters and Channel Fusion, Smart Parking: An Efficient System for Parking and Payment

Dr Mohammad Khalid Imam Rahmani SMIEEE β€” The Global Academy