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Dr. Gulshan Shrivastava

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Dr. Gulshan Shrivastava
Dr. Gulshan Shrivastava

Sharda University, Greater Noida

Assistant Professor

Dr. Gulshan Shrivastava

Dr. Gulshan Shrivastava is working as an Assistant Professor in the Department of Computer Science & Engineering at Sharda University, Greater Noida, U.P. Prior to his current role, he was associated with Galgotias University and Dronacharya Group of Institutions, Greater Noida, U.P., India. He was also visited at Datec Ltd., Papua New Guinea (PNG) as a technical trainer and researcher. He received Ph.D. (CSE) from the NIT Patna, and M.Tech. (Information Security) from GGSIPU Delhi, and MBA (IT & Finance) from IKGPTU and B.E. (Computer Science & Engineering) from the MDU Rohtak, Haryana. He also earned numerous international certifications from Coursera, NPTEL, Sun Microsystem etc. in the area of Security and Machine Learning. He has 5 patent (1 Granted, 4 Published), an editor/author of more than 7 books, author of more than 10 book chapters and 34 articles and editorials in International Journals and Conferences. He is Associate Editor of IJ-ICT (Scopus Indexed) and also served as Associate Editor of JGIM (SCIE Indexed) & IJDCF (Scopus Indexed), IGI Global and Section Editor of Scalable Computing (SCPE) (Scopus Indexed). He is also serving many repute journals as guest editor, editorial board member, international advisory board member, reviewer board member. Moreover, He has also delivered the expert talk, guest lecturers in International Conference and serving as the reviewer for Journals of IEEE, Springer, Inderscience etc. He is Convener in ICICC 2021, ICICC 2020 and ICICC-2019, Organizing Chair in 5th IEEE ICCCIS- 2021, ICCIDA-2018, Publication Chair in MARC-2018. He is the life member of ISTE, senior member of IEEE and professional member of ACM, SIGCOMM, and many professional bodies. He has an ardent inclination towards the field of Data Analytics & Security. His research interest includes Information Security, Digital Forensic, Data Analytics, Machine Learning, Malware Detection and Analysis.

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