Dr. Vimal Bibhu
Noida International University, Amity University, Babasaheb Bhimrao Ambedkar Bihar University, CDAC, DIT School of Engineering, Maastricht University
About
Dr. Vimal Bibhu, is a Professor of computer science and Engineering Department under School of Engineering & Technology and Associate Dean of School of Engineering & Technology of Noida International University from May 2023. His Prior Experiences summary is given below.
- Associate Professor & HOD (CSE), 2013 to 2023, Amity University.
- Assistant Professor & HOD (CSE), 2010 to 2013, Dehradun Institute of Technology, School of Engineering.
- Senior Lecturer (CSE) & ETLP Production Phase Head, 2008-2010, Galgotia College of Engineering & Technology,
- Lecturer (CSE), Adhoc - 2005-2006, Govt. Polytechnic Darbhanga.
- Lecturer (CSE), 2003-2005, RPSIT, PATNA.
- Network Engineer, May 2003 - Jun 2003, Tata Technology Limited.
- Center Head, NIIT Computer Education Patna, 1998-1999.
- Center In change, Babbage Computer Education Patna, 1997-1998.
- Center Head, Lakhotia Computer Education Aurangabad, 1996-1997.
Dr. Vimal Bibhu Research Work Summary:
Research Paper:
- Published - 85 (Journal - 51, Conference - 34), Scopus Indexed - 60, SCI - 25
Patents:
- Design Patent - 10
- Utility Patent - 22
Copyrights:
- 8
Book Chapters:
- 10 (All Scopus Indexed)
Books:
- 1 (Scopus Indexed), Edited Book, CRC Press
Research Supervisory Works Summary
- Ph.D Scholars Supervisory - 13
- Scholars Ph.D in CSE Awarded
- Mr. V. Gupta, Abdul Kalam Technical University, Uttar Pradesh (Main Guide)
- Colonel V. Bahal, Noida International University, Greater Noida (Main Guide)
- Mr. D. Gautam, Noida International University, Greater Noida (Main Guide).
- Mr. K.D. Singh, Aryabhata Knowledge Technical University, Patna (Main Guide)
- Ms. S. Salagrama, University of the Cumberlands, Kentucky, USA (International Co-Guide)
- Scholars Ph.D in CSE Undergoing
- 4 Scholars of Ph.D CSE of Noida International University (Main Guide).
- 3 Scholars of ph.D CSE of Utrakhand Technical University, (Co-Guide)
- 1 Scholar of University of the Cumberlands, Kentucky, USA (International Co-Guide)
Journal Editorial Board Support:
-
Working on International Project Titled "Deep Learning to Establish the Role of Fusion of Dual Perceptive Images with Cognitive Characteristics of Sterio Imaging for Visual Impaired Entity".
Under the Project "Stereo Imaging Characteristics Analysis for Vision Enhancement"
Employment
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Noida International University Professor CSE & Associate Dean SET2023 - Present
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Amity University Associate Professor and HOD-CSE2017 - 2023
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Amity University Assistant Professor & HOD CSE2013 - 2017
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DIT School of Engineering Assistant Professor2010 - 2013
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Galgotia College of Engineering and Technology Senior Lecture2008 - 2010
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Govt. Polytechnic Darbhanga Ad Hoc Lecturer2005 - 2006
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RPSIT Lecturer2003 - 2005
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Tata Technology Limited Network Engineer2003 - 2003
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NIIT Computer Education Center InCharge and Head1996 - 1999
Education
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Babasaheb Bhimrao Ambedkar Bihar University Doctorate2010 - 2013
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CDAC Master of Technology2006 - 2008
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Maastricht University Post Doctoral Fellowship (Undergoing)? - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (95)
- Mathematical Reliability Modelling of Smart Ambulance Services Using Markov Processes, Fault Tree Analysis, and Reliability Block Diagrams Save
- Resilience Indices for Smart City Utility Telemetry Networks Save
- Scalable Pattern Recognition In High-Dimensional Spaces Using Deep Learning Architectures Save
- ROI and Segmentation-Based Deep Learning Frameworks to Detect Melanoma: A Systematic Review with Reflections of the ISIC Dataset Evolution Save
- Optimizing Reinforcement Learning in High-Uncertainty Environments Save
- Improving machine learning algorithms using methodological stochastic differential equations Save
- Graph-Augmented Retrieval Framework For Explainable Domain-Specific Large Language Model Reasoning Save
- Exploring n-Queens problem solutions through advanced combinatorial and discrete mathematical techniques Save
- Explainable Machine Learning Techniques For Predictive Analysis Of Chronic Diseases Using Electronic Health Records Save
- Distributed Deep Learning Framework For Secure Medical Image Processing And Diagnostic Prediction In Smart Hospitals Save