Rajeev Srivastava

About

Dr. Rajeev Srivastava is currently working as a Professor in the Dept. of Computer Sc. and Engineering, IIT(BHU), Varanasi. He also served as Dean (Resource and Alumni Affairs) (Dec 2020-Dec 2023), Head, Centre for Computing and Information Services (August 2017-Dec 2023), HoD, CSE from August'2017 to December'2020. He is an elected Fellow of Institution of Electronics and Telecommunication Engineers, India (FIETE) and Institution of Engineers, India (FIE). He is also a Senior Member IEEE, USA. He has 25+ years of teaching and research experience. He received his B.E. degree in Computer Engineering from University of Gorakhpur, M.E. and Ph.D. degrees in Computer Engineering both from University of Delhi, Delhi. Prior to joining IIT-BHU in 2007, he served as an Asst. Professor at Netaji Subhash Institute of Technology (University of Delhi), New Delhi for around 7 years, served as Lecturer at GB Pant Engineering College, Uttarakhand for 3 years and MNNIT, Allahabad for six months. He has published 178 (93 Journals and 85 International Conferences) research papers in reputed international/ national Journals and conferences and published 04 research reference books from USA and Germany. He has also published 20 book chapters published by IGI Global, USA and Springer Berlin Heidelberg, Germany. Sixteen (16) research scholars have been awarded PhD degree under his supervision from IIT (BHU) till June'2023 and 7 PhD students are working towards their thesis. He also developed e-contents for the subject "Digital Image Processing and Machine Vision" as a project of MHRD, Govt. of India, New Delhi. He completed two funded research projects and filed four patents. He is two times recipient of research publication award by IIT(BHU) Global alumni association. His biography was listed in Marquis Who’s Who in Science and Engineering, USA, 11th Edition , 2011-2012, published in Dec'2010 and "2000 OUTSTANDING INTELLECTUALS OF THE 21st CENTURY-2011" by International Biographical Centre (IBC), Cambridge, England. His research interest includes algorithms, image processing, computer vision, machine learning, deep learning and medical imaging and related applications.

Employment

• Indian Institute of Technology (BHU) Professor
  2015 - Present
• Indian Institute of Technology (Banaras Hindu University) Associate Professor
  2007 - 2015
• Netaji Subhas University of Technology Assistant Professor
  2001 - 2007
• G. B. Pant Engineering College (Now GBPIET) Lecturer
  1998 - 2001
• Motilal Nehru National Institute of Technology Lecturer (Part time)
  1998 - 1998

Education

• Madan Mohan Malaviya University of Technology B.E. (Computer Engineering)
  1992 - 1996
• Delhi Technological University M.E. (Computer Technology and Applications)
• Delhi University Ph.D. in Computer Engineering

Projects & Funding

Projects & funding information is unavailable.

Publications (139)

• Hyperspectral image classification using local-to-global retention network
  Optics & Laser Technology 2025 DOI: 10.1016/j.optlastec.2025.113991
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• Integrated analysis of energy-process parameters relationship in direct energy deposition of 15–5 PH stainless steel
  International Journal on Interactive Design and Manufacturing (IJIDeM) 2025 DOI: 10.1007/s12008-024-01998-6
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• Assessing the sustainable energy storage technologies using single-valued neutrosophic decision-making framework with divergence measure
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2023.121791
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• Mathematical prediction of melt pool geometry and temperature profile for direct energy deposition of 15Cr5Ni SS alloy
  Progress in Additive Manufacturing 2023 DOI: 10.1007/s40964-022-00381-9
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• A Novel Deep Architecture for Multi-Task Crowd Analysis
  2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022 2022 DOI: 10.1109/CONECCT55679.2022.9865100
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• A robust RGBD saliency method with improved probabilistic contrast and the global reference surface
  Visual Computer 2022 DOI: 10.1007/s00371-020-02050-w
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• An end to end trained hybrid CNN model for multi-object tracking
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-021-11463-1
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• CSA-Net: Deep Cross-Complementary Self Attention and Modality-Specific Preservation for Saliency Detection
  Neural Processing Letters 2022 DOI: 10.1007/s11063-022-10875-w
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• Channel spatial attention based single-shot object detector for autonomous vehicles
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-021-11267-3
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• Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model
  Neural Processing Letters 2022 DOI: 10.1007/s11063-021-10620-9
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