Building Data-Driven Edge Systems for Business Success

Edited by:   Minakshi, Tarun Kumar, Kapil Joshi, Akash Saxena, Dilip Kumar Jang Bahadur Saini
Imprint:   IGI Global
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337311487
Pages:   478
Publication Date:   08 August 2025
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Minakshi is an accomplished academician with 18+ years of experience in computer science and engineering domains. Currently an Assistant Professor at King Khalid University, she has taught at esteemed institutions like Uttaranchal University and Tula's Institute. A prolific researcher with 80 Scopus publications, 18 patents, and 3 software copyrights, she has received accolades like Outstanding Section Volunteer Award (IEEE UP Section), Research Excellence Award, and HOD of the Year Award. Adept at curriculum development, research guidance, project management, and team leadership, Dr. Minakshi brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods. Tarun Kumar received his Ph.D. degree from the National Institute of Technology Patna, Bihar, India. Dr. Kumar has more than 20 years of experience in teaching and is currently working as an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include cloud computing, IoT, and DNA computing. Dr. Kumar has published several edited books, book chapters, patents and papers in conference proceedings and refereed journals. He has also participated in many international conferences as an organizer and session chair. Dr. Kumar is a senior member of IEEE, ACM, IEEE Computer Society, and a Member IEEE Computational Intelligence Society. Dr. Kumar brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods. Kapil Joshi is an associate professor at Uttaranchal University, Dehradun. He earned his Ph.D. in Computer Science and Engineering from Uttaranchal University in 2022, specializing in Image processing. Dr. Kapil's research interests include Image processing, Artificial intelligence, Machine learning etc. He got “Best Researcher Award” in International Scientist Awards 2021 On Engineering, Science and Medicine 07&08-Aug-2021, Pondicherry, India and organized by VDGood, technology factory. He is having more than 100 papers published in Scopus/SCI. He has published various patents also. He has organized many conferences, seminars, workshops etc. Akash Saxena is a distinguished Principal at the Department of Computer Science and Information Technology at Compucom Institute of Technology & Management in Jaipur, Rajasthan. With over 21 years of experience, he is an expert in Data Mining, Network Security, E-Commerce, and Cloud Computing. Dr. Saxena holds a Ph.D. in Computer Science from Maharaja Ganga Singh University, along with M.Phil and M.Tech degrees. His impressive academic contributions include over 70 papers in international journals, 35 in international conferences, and 21 in national conferences. He has authored 11 books, holds 6 patents and 3 copyrights, and has guided more than 45 research scholars. Dr. Saxena is also actively involved in professional organizations like CSI and IEEE. DIlip Kumar Jang Bahadur Saini is having above 20 years of teaching experience. He got his PHD from Sathyabam Institute of Science and Technology, Jeppiaar Nagar, Chennai in 2024. He is working on various research projects which are funded by government agencies. He is having various publications which are indexed by Scopus/SCI. He was awarded by Best Researcher Award 2021 from Innogen Research Foundation Hyderabad on 5 Sept 2021. He was awarded by Performance Excellence Award 2021 from Global Education and Corporate Leadership (GECL-2021) Award by LWT way Tech India Pvt. Ltd, Rajasthan India at Tulas Institute of Technology, Dehradun on 21 Dec 2021.