Computational Intelligence and Data Sciences

Dr. Ayodeji Olalekan Salau is an Assistant Professor in the Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria. He received his B.Eng. in Electrical/Computer Engineering from the Federal University of Technology, Minna, Nigeria. He received the MSc and PhD degrees from the Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests include computer vision, image processing, signal processing, machine learning, power systems engineering, and nuclear engineering. Dr. Salau serves as a Reviewer for several reputable journals. His research has been published in many reputable international conferences, book chapters, and major international journals. He is a registered Engineer with the Council for the Regulation of Engineering in Nigeria (COREN), a member of the International Association of Engineers (IAENG), and a recipient of the Quarterly Franklin Membership with ID number CR32878 given by the Editorial Board of London Journals Press in 2020. Dr. Shruti Jain is Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Doctor of Science (D. Sc.) in Electronics and Communication Engineering. She has a teaching experience of around 15 years. She has filed three patents and published two copyrights. She has published more than 09 book chapters, and 100 research papers in reputed indexed journals and in international conferences. She has also published six books. She has completed two government-sponsored projects. She has guided 06 Ph.D. students and now has 01 registered student. She has also guided 11 M Tech scholars and more than 90 B Tech undergrads. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, life member and Editor in Chief of Biomedical Engineering Society of India and a member of IAENG. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19. Dr. Meenakshi Sood is currently working as Associate Professor in CDC and Department of ECE, National Institute of Technical Teachers Training & Research (Ministry of Human Resource Development, Govt. of India), Chandigarh, India. She has teaching experience of around 20 years and worked in various institutes of repute. She received her Ph.D. in Biomedical Signal Processing and is Gold Medallist and has been awarded Academic Award for her performance in Master of Engineering (Hons.) from Panjab Univeristy, Chandigarh. She has guided four PhD scholars and around 20 M Tech scholars and more than 100 B Tech undergrads. Her research areas interests are Image and Signal processing, Bio Inspired Computing, Antenna Design, Meta-materials, Soft Computing techniques and Curriculum design and development. She has two government sponsored project currently running under her and has published more than 100 research papers in reputed indexed journals and in International conferences. She has edited three books and authored study material for ICDOEL, H.P University. She is senior member of IEEE, Life member of INTERNATIONAL TECHNICAL SOCIETIES as IE and BMSEI. She is also editor of reputed journals. Member of the Experts Committee for Evaluation of Impact of DST-FIST Scheme. She had been selected as GSE member of Rotary International and visited USA in Exchange Program.

• 1. Diabetic Retinopathy Detection with Optimal Feature Selection: An Algorithmic Analysis 2. A Novel Model Order Reduction Technique for Fast Simulation of Soft Tissue Response 3. A Novel Hybrid Model for Detection and Classification of Liver Cancer 4. Cloud Services for Remote Healthcare Monitoring System using the Internet of Things (IoT) 5. A Novel Diagnostic System for Diabetic Retinopathy Detection Using Deep Neural Network 6. Smart Deceases Prediction System using IoT 7. IoT Enabled Health Monitoring System 8. Image Fusion: A Survey of the Types and Transforms 9. Energy harvesting system design and optimization using High Bandwidth Retina for Wireless Networks 10. Automated Detection of Normal and Cardiac Heart Disease Using Generalized Discriminant Analysis and Machine Learning 11. Disruptive Technologies for Smart Healthcare Systems using Artificial Intelligence for Hospital Management System 12. Emerging role of Bioinformatics in Healthcare Applications 13. ECG Signal Analysis for Arrhythmia Detection Via Tele-cardiology