Advances in Biomedical Engineering and Technology / Lecture Notes in Bioengineering (PDF)

(Electronics and Telecommunication Engineering) Gold Medalist and M. Tech. (Electronics and Telecommunication Engineering) Honors from Pt. Ravishankar Shukla University, Raipur. He received his Ph.D. in Biomedical Engineering from National Institute of Technology Raipur, Raipur (Chhattisgarh) India. He has published more than 70 research papers in various international and national journals and conferences. He is active reviewer and has reviewed several research articles of reputed International Journals. He has teaching and research experience of 12 years. He has been Head of the Department of Department of Biomedical Engineering for 5 years. He is member of International Professional Societies such as IEEE (Senior member) & IACSIT and also of many National Professional bodies like CSI India, IETE India, ISCA India and IEI India. He has received several awards like Chhattisgarh Young Scientist Award, IETE Gowri Memorial Award, IEI Young Engineer Award. He has delivered several expert talks in the area of Machine Learning Applications. He has organized several workshops and international conference in area of Biomedical Engineering, Machine Learning and Softcomputing. His research interest includes applications of machine learning and artificial intelligence in medical image analysis, biomedical signal analysis, computer aided diagnosis, computer vision and cognitive science.
Padma Ganasala (Ph. D.) is currently working as Associate Professor in the Department of Electronics and Communications Engineering, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India. She had received her Ph.D. in Medical Image Fusion from Indian Institute of Technology Roorkee (IIT-ROORKEE). She is a recipient of MHRD fellowship during studies. To her credit, she possesses several publications in reputed international journals and conferences. She has reviewed many journal papers published by prestigious journals and conferences. She is a Life Member of ISTE. Her research interests include medical image processing and analysis, biomedical signal processing, machine learning and deep learning.