Emerging Electronics and Automation

A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases.- Vernacular Language Handwriting Recognition using Deep Learning Techniques.- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks.- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation.- Design of Regenerative Snubber Circuit for Motor Drivers.- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty.- Unfalsified Adaptive Control of a Robotic System.- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device.- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models.- Handwritten Word Recognition in English Language.- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition.- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection.- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency.- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT.- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network.- Design and Implementation of Garbage Detection and Classification Using YOLO-V5.- Simulations towards design of Matching Layer in Acoustic Emission Sensor.- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid.- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors.- Study of Dielectric Characteristics of Forsterite Based Medical Implant.- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions.- Analysis and

Moncef Gabbouj is Professor of Information Technology at the Department of Computing Sciences, Tampere University, Finland. His research interests include artificial intelligence, machine learning, pattern recognition, and signal processing. Dr. Gabbouj is a Fellow of the IEEE and Asia-Pacific Artificial Intelligence Association. He is member of the Academia Europaea, the Finnish Academy of Science and Letters and the Finnish Academy of Engineering Sciences.

Shyam Sudhir Pandey completed his PhD from, National Physical Laboratory, New Delhi, India in 1997 and came to Japan as postdoctoral fellow (1998-2001). He was JSPS post-doctoral fellow from 2001-2003 (Soft-actuators & Artificial Muscles) and Knowledge Cluster invited researcher from 2003-2007 (Protein Biochips). He received National Technology Award from NRDC India in 2005 for the development of Glucose Biosensors, which are currently being manufactured and marketed. He joined the Kyushu Institute of Technology (Kyu550presentations in domestic and International conferences and 30 patents in India, Japan Europe and USA. His research interests deal with the Dye-Sensitized and Organic Solar Cells, Quantum Chemical Calculations, Organic Electronics & optoelectronics, Organic Conducting Polymers, Biosensors and Protein Biochips.Hari Krishna Garg (HKG) received BTech degree in electrical engineering from the Indian Institute of Technology (IIT), Delhi, MEng & PhD from Concordia University, Montreal, PQ, Canada, & MBA from Syracuse University, Syracuse, NY, USA. Previously he was faculty at the Electrical and Computer Engineering (ECE) Department at Syracuse University. Currently, he is with the ECE Department at the National University of Singapore. His interests and passion encompass all things 'enterprise'. He has founded many start-ups with a mixed record of success. HKG writes Hindi poems & croons a song or two from Bollywood. 



Ranjay Hazra, Senior IEEE Member