Applied MATLAB

Dr. Komal Mishra is a scholar and researcher working in the areas of Artificial Intelligence, Machine Learning, and Data Analytics, and concentrates on applied and interdisciplinary research. She holds a doctorate and is presently working at Chandigarh University, Punjab, India, where she has been active in teaching, research, and curriculum development. She has more than 12 years of experience teaching undergraduate and postgraduate students in computer science and computer applications. Dr. Mishra is an author of several research published papers for reputed IEEE conferences and international journals in various fields, including Deep Learning, Image Processing, and Machine Learning. Her work focuses on practical deployment, model analysis, and the solution of real-life problems with the help of the current AI methods. She has also directed student projects and research work in line with the modern trends in the industry and academics. Her fields of expertise are Deep Learning, Machine Learning, Image Processing, and Computing in MATLAB. She has worked as a teacher in Python Programming, Data Structures, Artificial Intelligence, Machine Learning, and MATLAB.

Keshav Kumar is pursuing his PhD in Hardware Security from Lingaya's Vidyapeeth (university), Faridabad, Haryana, India and is also working as an Assistant Professor in the Department of Electronics and Communication Engineering, Pranveer Singh Institute of Technology Kanpur, India. He also has worked with Cha University, Punjab, India (NIRF 29). He has completed his Master of Engineering in ECE with a specialization in Hardware Security from Chitkara University, Punjab, India. He has also worked as a JRF with NIT Patna and as an Assistant Lecturer at Chitkara University, Punjab, India. Keshav has authored and co-authored three books with CRC Press and Taylor & Francis, and another book with Nova Science. He has written more than 45 research papers in the fields of Hardware Security, Green Communication, Low-power VLSI Design, Machine Learning Techniques, and IoT. He also has worked with professors from 20 countries. His areas of specialization include Deep Learning, Hardware Security, Green Communication, Low-power VLSI Design, Machine Learning Techniques, WSN, and IoT. Keshav has experience teaching Python Programming, Embedded Systems, IoT, Computer Networks, and Digital Electronics. He is also associated with Gyancity Research Consultancy Pvt Ltd. He is a member of IAENG. And he has approximatey 600 citations (Google Scholar), 14 H-index (Google Scholar), and 11 H-Index (Scopus).