Dr. Ekbal Rashid is the Professor in the Department of Computer Science and Engineering (AI/ML) at Malla Reddy Engineering College for Women (MRECW) since October 2025 (Continue) Earlier he was also professor in the department of computer science and Engineering (AI/ML) in St. Peter’s Engineering College Hyderabad. He has  completed Master of Computer Applications from Central University (IGNOU) , New Delhi in June 2003 and He has completed his M.Tech in Computer Science and Engineering from Birla Institute of Technology, MESRA in 2009 and Ph.D. in Computer Science and Engineering in May 2015 From Siksha O Anusandhan Deemed to be University Bhubaneswar, Odisha (Ranked Internationally by QS and THE World University Rankings 2023) and he also completed Post-Doc from Technical University of Sofia, Bulgaria in year 2024. He has supervised 2 Ph. D. Thesis (and one in pipeline) and 1 Master thesis in the area of  Software Engineering, Machine Learning, Software Quality, Artificial Intelligence, Data Mining. Dr. Rashid has published around 65 research papers in international journals and conference proceedings of repute including Springer, IEEE, and Inderscience, Wseas.  He is also serving as Editorial Board Member, Reviewer / Program Committee member in Reputed Journals and Conference. Invited as a session chair in many reputed International Conferences in India and Abroad. He has also Invited as a keynote speaker at the National Conference of Empowerment of Rural Masses by Recent Advances in Application of Computer Technology towards Digital India Program, 11th & 12th March, 2016, sponsored by Chhattisgarh Council of Science and Technology, Organized by Dept. of Computer Applications, ShriShankaracharya Technical Campus, (SSTC), Bhilai, Chhattisgarh. He has worked as a session chair for 5th IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications, Germany.  He is Editor For the edited book series titled “Futuristic Trends in Artificial Intelligence” His research areas are software engineering, Software Quality, machine learning, data mining and artificial intelligence. He has participated in Faculty Development/Orientation Programme/Workshop/Training Programme more than 25 and Organized  5 Training/Seminars/ Guest Lectures/FDP.  He has written two books on the topic of “Analogy-Based Software Cost Estimation” and “Enhancing Software Fault Prediction with Machine Learning: Emerging Research and Opportunities”. He has more than 20 years of teaching experience and more than 16 years of research experience in various reputable Institutes and Universities across the country.