Dr. Mahendra Kumar Shrivas is heading various smart governance projects as a Project Lead at the Centre for Smart Governance (CSG), Department of Personnel and Administrative Reforms (E-Governance), Government of Karnataka, Bangalore, India and is a senior member of IEEE with over fifteen years of experience in Academics, Industries, and Research work in Asia, the Middle East, and Africa. He holds a Doctorate of Philosophy (Ph.D.) degree in Computer Science (Blockchain Technologies) from the Central University of Nicaragua. He has proven experience in large-scale enterprise software architecture, development, and high-performance developer team management as a team lead. He has been supervising research projects of graduate, post-graduate and doctoral scholars and giving lectures on the UK, American, African, and Indian-based university curriculums to research scholars. He is a Microsoft certified technology specialist and certified Java programmer along with NIIT & HCL certified technical trainer. His area of research interests includes but is not limited to Blockchain Technologies, Quantum Blockchains, Cybersecurity, Quantum Cryptography, Cloud Computing, AI/ML, and Database Technologies.
He has published remarkable research papers in various peer-reviewed international journals and conferences. He is also contributing as a reviewer, technical program committee & editorial board member of various reputed International Journals/Conferences such as IEEE, IGI Global, etc.
He has got prestigious awards for notable services and contributions towards the advancement of IEEE and the Engineering Professions in 2018 & 2020 by the IEEE Ghana Section, along with best trainer and faculty awards from NIIT and Sikkim Manipal University respectively. He has trained more than 8000 Computer Science and Information Technology Engineers in the advanced software engineering practices, technologies and tools in India and Abroad.
Kamal Hiran
has over 18 years of experience in academia, research, and administration in Asia, Africa, Europe, and North America. Currently he is working as Associate Professor in the School of Computer Science and IT, Symbiosis University of Applied Sciences, Indore, India and Adjunct Research Fellow at the Aalborg University, Copenhagen, Denmark. He has published 15 International books with repute publishers like BPB Publications, IGI Global, De Gruyter from India, Germany, USA, UK. He has made significant contributions to our society's technological transformation. He has several awards to his credit such as International travel grant for attending the IEEE Region 8 Committee Meeting at Warsaw, Poland; International travel grant for Germany from ITS Europe, Passau, Germany; Best Research Paper Award at the University of Gondar, Ethiopia; IEEE Liberia Subsection Founder Award; Gold Medal Award in MTech (Hons.); IEEE Ghana Section Award-Technical and Professional Activity Chair; IEEE Senior Member Recognition, Best IEEE Student Branch Award, Elsevier Reviewer Recognition Award. He has published 75 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, conferences, 2 Indian Patents, 1 Australian Patent Grants. He has made several international visits to Denmark, Sweden, Germany, Norway, Ghana, Liberia, Ethiopia, Russia, Dubai, Mexico, and Jordan for research exposures. His research interests focus on Artificial Intelligence, Cloud-edge computing, Machine-deep learning and Intelligent IoT.
Dr. Ashok Bhansali is currently serving as Professor and Dean, Department of Computer Engineering and Applications at GLA University, Mathura, India. He possesses approximately 25 years of amalgamated experience of industry and academia, during which he has worked with top MNCs and Universities like Tech-Mahindra, NELCO, Symbiosis University, and OP Jindal University. Dr. Ashok is an active IEEE volunteer and has been general chair for many IEEE conferences. He has delivered many keynote sessions and lectures at FICCI, CII and national/international conferences and workshops. He has published more than 40 papers in different journals/conferences on different topics including social network mining, eLearning, ad-hoc networks, IoT, Blockchain etc. He has a special interest in Education 4.0 and implementing and promoting eLearning. He was an advisor to Govt of Chhattisgarh for the virtual education project of MHRD, Govt. of India.
Dr. Ruchi Doshi has more than 16 years of academic, research and software development experience in Asia, Europe, and Africa. Currently she is working as Research Supervisor and Professor at the Azteca University, Mexico and Adjunct Professor at the Jyoti Vidyapeeth Women’s University, Rajasthan, India. She worked at the BlueCrest University College, Liberia, Africa; BlueCrest University College, Ghana, Africa; Amity University, India; Trimax IT Infrastructure & Services, India. She is interested in the field of Machine Learning and Cloud computing framework development. She has published research papers in peer-reviewed international journals and conferences; 3 Indian Patents; 5 books on Cloud Computing, Machine Learning, Mobile Cloud Computing, Intelligent IoT Systems for Big Data Analysis and Mobile Application Development. She is Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences with IEEE, Springer, and Elsevier. She is an active member in organizing many international seminars, workshops, and conferences. She is nominated from by IEEE Headquarter, USA for the Chair, Women in Engineering (WIE) position in Liberia, West Africa. She worked as a Founder Chair, Women in Engineering (WIE) in the IEEE Liberia Subsection. She worked with Ministry of Higher Education (MoHE) in Liberia and Ghana for the Degree approvals and accreditations processes. She has published numerous research papers in peer-reviewed international journals and conferences. She is a Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences. Google Scholar: https://scholar.google.com/citations?user=lYhmZdEAAAAJ&hl=hi