Dr. Ankan Bhattacharya obtained B.Tech. and M.Tech. degrees in Electronics & Communication Engineering from West Bengal University of Technology, Kolkata, India. He completed his Ph.D. from National Institute of Technology, Durgapur, India. He is the author of several research papers which have been published in many reputed Journals and Conferences of National and/or International levels. Dr. Bhattacharya is a Life-Member of Forum of Scientists, Engineers & Technologists (FOSET), Member of Institution of Engineers India (IEI) and Member of International Association of Engineers (IAENG). His areas of research are Antenna Engineering, Computational Electromagnetics, Electronic Circuits and Systems, Signal Processing, Microwave Devices and Wireless Communication Technologies. He is also an Editor/Reviewer of many National/International Journals of repute. He has organized/participated in, many National/International Conferences, Seminars, Workshops and Webinars. Dr. Bhattacharya has been active in delivering Invited Talks and has also been a part of many National/International Conferences in the capacity of Coordinator, Session Chair, Technical Committee Member etc. Presently he is associated with Mallabhum Institute of Technology, Bishnupur, India as an Assistant Professor of Electronics & Communication Engineering Department. Dr. Bhattacharya has been appointed as a Guest Editor of SN Applied Sciences, a multi-disciplinary, peer-reviewed journal of Springer Nature. He has also been inducted into the Editorial Board of Circuits and Systems Journal, Scientific Research Publishing (SCIRP). Dr. Bappadittya Roy obtained his Ph.D. degree in Electronics and Communication Engineering from National Institute of Technology, Durgapur, India. He is presently associated Vellore Institute of Technology-AP University, Amaravati, India as a Senior Asst. Prof. of School of Electronics Engineering. He is a Member of IEEE. He has received many national and international travel grants and has travelled abroad for seminars, conferences and workshops. He has published several articles in reputed journals and conferences. His research areas are microstrip antennas, fractal antennas and mobile communication. He is the General Co Chair AISP 22 IEEE conference. He is also a reviewer of many National/International Journal submissions. Dr. Samarendra Nath Sur (SMIEEE) was born in Hooghly, West Bengal, India, in 1984. He received B.Sc degree in Physics (Hons.) from the University of Burdwan in 2007. He received M.Sc. degree in Electronics Science from Jadavpur University in 2007 and M.Tech degree in Digital Electronics and Advanced Communication from Sikkim Manipal University in 2012. He received Ph. D degree from NIT, Durgapur in sept, 2019. Since 2008, he has been associated with the Sikkim Manipal Institute of Technology, India, where he is currently an assistant professor in the Department of Electronics & Communication Engineering. His current research interests include Broadband Wireless Communication (MIMO and Spread Spectrum Technology), Advanced Digital Signal Processing, and Remote Sensing. He is a Member of the Institute of Electrical and Electronics Engineers (IEEE), (IEEE-IoT) Institution of Engineers (India)(IEI) and International Association of Engineers (IAENG). He was the recipient of the University Medal & Dr. S.C. Mukherjee Memorial Gold Centered Silver Medal from Jadavpur University in 2007. He also serves as the reviewer of International Journal of Electronics, Taylor and Francis, IET Communication, Ad Hoc Networks, Elsevier, IEEE transactions on signal processing, SN Applied Science, Telecommunication Systems, Transactions on Emerging Telecommunications Technologies. Dr. Saurav Mallik is currently working as Postdoctoral Fellow in Harvard T.H. Chan School of Public Health, Boston, MA, USA. He previously worked in University of Texas Health Science Center, Houston, Texas, USA and University of Miami Miller School of Medicine, Miami, Florida, USA as Postdoctoral Fellow. He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India as Junior Research Fellow and Visiting Scientist. He was obtained the award of Research Associateship from CSIR (Council of Scientific and Industrial Research), MHRD, Govt. of India in 2017. He is also recipient of "Emerging Researcher In Bioinformatics" award from Bioclues & BIRD Award steering committee, India (http://bioclues.org/) in the year 2020. He received Travel Grant Award for International Conference on Intelligent Biology and Medicine (ICIBM), June 2018 at Los Angeles, California, USA. Dr. Mallik has more than 60 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He is working as the active member of Institute of Electrical and Electronics Engineers (IEEE), USA, and American Association for Cancer Research (AACR), USA and life member of a well-known non-profit organization "Bioinformatics CLUb for Experimenting Scientists" (BIOCLUES), India (http://bioclues.org/). His research interest includes Data Mining, Computational Biology, Bioinformatics, Machine Learning/Deep Learning and Cloud Computing. Dr. Subhasis Dasgupta, Ph.D., is a Data and Computational Researcher in the San Diego Supercomputer Center at the University of California San Diego as well as a Lecturer in the UCSD Rady School of Management. He holds an additional appointment of Assistant Scientist at UCSD. Dasgupta was previously a researcher at the Indian Statistical Institute as well as a systems engineer, director, and founder of Kaavo India and its first US employee. Kaavo was ranked as a top-25 cloud vendor by Information Week in 2008-2009. Earlier, he worked for a Canadian startup company, DataInfoCom Inc., as a software engineer, that served to many Fortune 500 companies, including Dell and Microsoft. His primary research interest includes the database, mixed model data, access control, machine learning applications on large data, and ontology engineering.
