Goggles for Innovators, Entrepreneurs, Researchers
Sudhanshu Maurya - Paperback
£15.00
Dr. Sudhanshu Maurya, Member IEEE, Post-Doctoral Researcher, School of Computer & Communication Engineering, Universiti Malaysia Perlis (UniMAP), Malaysia. He has been designated as Assistant Professor in School of Computing, Graphic Era Hill University, Bhimtal Campus, Uttarakhand, India. Dr. Maurya has completed his Ph.D. in Computer Science, special focus on “Security and Privacy aspect of Mobile Cloud Computing”. He acquired a master’s degree in Computer Science with a specialization in Artificial Intelligence from Central University of Rajasthan, Rajasthan. He has completed his bachelor’s degree in Information Technology from HNB Garhwal Central University, Uttarakhand. He has also contributed as a Research Fellow at NIT Surat. His area of research is dedicated to Cloud Computing, IoT, and Machine Learning. He has authored / coauthored 2 course books, 2 international Patents (Granted), 5 Indian patents and more than 45 research papers indexed in SCOPUS, Web of Science, ACM, IEEE & UGC Care Approved Journals.
Sateesh K. Peddoju is currently working as an Associate Professor at the Indian Institute of Technology Roorkee, India. He is the Senior Member of ACM and IEEE, and recipient of Cloud Ambassador Award from AWS Educate, IBM SUR Award, Microsoft Educate Award, university merit scholarship, best teacher award in his previous employment, best paper/presentation awards, and travel grants. To his credit, he has one book, edited three books, and many publications on top-tier conferences and journals. He has received several grants from different funding sources. He is guiding many doctoral, master's, bachelor's, and intern students. He has organized many conferences, acted as the Program Chair and General Chair for many conferences. He has been contributing to society as a committee member at national and international forums. His research interests include Cloud Computing (Cloud, Edge, and Fog), Ubiquitous Computing (Mobile, Pervasive, and IoT), and Security (Network, Cloud, IoT, Mobile, and Blockchain).
Prof. Ir. Ts. Dr. R. Badlishah Ahmad is Professor in Computer and Communication System at Universiti Malaysia Perlis (UniMAP). He was appointed as Vice Chancellor at Universiti Malaysia Perlis (UniMAP), Malaysia (15 May 2019 - 27 March 2021) and Deputy Vice Chancellor at Universiti Sultan Zainal Abidin (UniSZA) since March 2017 to May 2019. He was the Dean at the School of Computer and Communication Enginering and also the Head of Embedded Computing Research Cluster, Universiti Malaysia Perlis (UniMAP) since January 2005 to February 2017. He obtained Bachelor of Engineering with Honors (B.Eng. (Hons)) in Electrical & Electronic Engineering from Glasgow University in 1994. He continued his Master of Sciences (M.Sc.) in Optical Electronic Engineering at University of Strathclyde and graduated in 1995. He then continues his study at PhD level at the same university and completed in 2000. He has authored and coauthored more than 375 conferences / journal papers, more than 3500 citations, i10-index 99 and h-index is 26. His research interests are in computer and telecommunication network modelling, optical networking and embedded system based on GNU/Linux.
I. Chihi is a Guest Professor in Electrical Engineering, University of Luxembourg, The Faculty of Science, Technology and Medicine (FSTM) and an Associate Professor on Automation and Industrial Computing at the National Engineering School of Bizerta, Tunisia (ENIB) and member of the Laboratory of Energy Applications and Renewable Energy Efficiency (LAPER) of University Tunis El Manar. She obtained her PhD degree and University Habilitation from National Engineering School of Tunis, Tunisia (ENIT), in 2013 and 2019, respectively. Her research area is based on intelligent modeling, control and fault detection, of complex systems with unpredictable behaviors. Since 2020, she is Guest Associate Editors in the IEEE Journal of Emerging and Selected Topics in Power Electronics, Special Issue on: Machine Learning & Deep Learning based Power Conditioning Systems for Smart Grid.