Dr. Abhishek Tiwari is an Assistant Professor in Computer Science with over a decade of academic, teaching, and research experience, specializing in Artificial Intelligence for Healthcare. He currently serves at Birla Institute of Technology, Mesra, and has previously held faculty positions at Bennett University (Times of India Group), Galgotias Educational Institutions, ABES Engineering College, and ITM University.  He earned his Ph.D. in Computer Science and Engineering from Shiv Nadar Institution of Eminence (HCL Group R&D), where his research focused on deep learning–based frameworks for sparse diffusion MRI analysis. His work addresses clinically relevant challenges in neuroimaging, particularly early diagnosis of neurological and psychiatric disorders.

Dr. Tiwari has published extensively in Q1 SCI journals and top-tier international conferences (Core Rank A/A*), including ICCV, ACML, ICPR, and WACV. He is the inventor of an Indian utility patent in AI-driven diagnosis of Major Depressive Disorder and the author of an international research monograph on diffusion MRI.  His professional contributions span teaching, mentoring, funded research, patents, and global academic collaborations, with a strong commitment to advancing explainable, ethical, and energy-efficient AI for real-world healthcare impact.

AI for Healthcare

• Diagnosis and Prognosis of disease based on Deep Learning based framework.

• Computational Diffusion MRI Brain Tractography

• Computer Vision/ Deep Learning for Medical Imaging

Artificial Intelligence in Healthcare with a strong focus on deep learning–driven medical image analysis, particularly diffusion MRI, white-matter tractography, and sparse imaging. My research advances early diagnosis and biomarker discovery for neurological and psychiatric disorders (e.g., Alzheimer’s disease, depression) through transformer-based models, computational imaging, explainable AI, and clinically deployable systems.

• Chancellor’s Gold Medal (2012) — Awarded by the Hon’ble Governor of Uttar Pradesh for academic excellence.

• International Rank Holder — MICCAI 2022 Singapore, QuaD22 Challenge.

• Russian Government Scholarship (2017) — Moscow Institute of Physics and Technology, Russian Federation.

• HCL Ph.D. Fellowship (33.24 Lakhs) — Fully funded doctoral scholarship, Shiv Nadar Institution of Eminence.

• Global Young Scientists Summit (GYSS 2023) — Selected delegate, National Research Foundation & Prime Minister’s Office, Singapore.

• ACM India Travel Grant (1 Lakh) — ICCV 2023, Paris (Core Rank A*).

• Doctoral Consortium Award — ICPR 2024 (Core Rank A) and IEEE CVMI 2024.

2025

1. Abhishek Tiwari, Saurabh J. Shigwan, "Ethical AI-Driven Tract-based classification for Early Alzheimer’s Detection using sparse Diffusion MRI", IEEE/CVFWinter Conference on Applications of Computer Vision (WACV 2025) workshop on Ethical development and evaluation of multi-modal AI in healthcare ( Core Rank A* ) [WACV 2025 USA, Oral Acceptance rate 37.8%] [Paper]

2. Abhishek Tiwari, Saurabh J. Shigwan, "Tract-Specific Biomarker Discovery for Early Alzheimer’s Disease Using Sparse Diffusion MRI and AI framework", 11th International Conference on Pattern Recognition and Machine Intelligence PReMI 2025, IIT Delhi [ Acceptance rate 25%]

2024

3. Abhishek Tiwari, "Deep Learning Based Framework for DTI Parameters Estimation and Analysis for Sparse Diffusion MRI data", 27^th International Conference on Pattern Recognition ( ICPR 2024 ) Dec 1-5, Kolkata, India ( Core Rank A ) [URL: Doctoral Consortium]

2023

4. Abhishek Tiwari, Rajeev Kumar Singh and Saurabh J. Shigwan, "SwinDTI: Swin transformer based generalized fast estimation of diffusion tensor parameters from sparse data" Springer Neural Computing & Applications, Q1 SCI Journal IF = 6.0  https://doi.org/10.13140/RG.2.2.20342.78406.[Paper]
5. Abhishek Tiwari, Saurabh J. Shigwan and Rajeev Kumar Singh et al., “Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies” Elsevier NeuroImage: Clinical Q1 SCI Journal IF = 4.2    https://doi.org/10.1016/j.nicl.2023.103483 [Paper] 
6. Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh, "Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia", IEEE/CVF International Conference on Computer Vision ICCV 2023 (Core Rank A*, h-index 228 ) workshop on BioImage Computing. [ICCV 2023 Paris,  Acceptance rate: 2160 / 8068 ≈ 26.8%, Core Rank A* ]  [Paper] 

7. Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh, "Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures" The 15th Asian Conference on Machine Learning (ACML 2023)  Proceedings of Machine Learning Research (PMLR) vol 222, 2023, ISSN: 2640-3498. ACML Paper: Link [ACML 2023 Turkey, Acceptance rate ≈ 26.9%, with just four papers selected from India]

8. Abhishek Tiwari, Saurabh J. Shigwan and Rajeev Kumar Singh et al., “Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies” prestigious Wiley ISMRM & ISMRT 2023 Annual Meeting & Exhibition in Toronto, ON, Canada, 03-08 June 2023  [ISMRM Poster-Session] .

 2022 

9. Abhishek Tiwari and Rajeev Kumar Singh, “Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images” 13th Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2022) held on IIT Gandhinagar, ISBN 978-1-4503-9822-0/22/12. [ACM ICVGIP Oral Acceptance rate ≈ 9.4% ]. [Paper]

2021

2020

10. Abhishek Tiwari and Alexey N. Nazarov, “Super-Resolution Imaging and Deep Learning solutions for Classification, Monitoring & Diagnosis of Alzheimer’s Disease”, CISRI 2020 Book Chapters: Computational Intelligence Methods for Super-Resolution in Image Processing Applications, Springer Nature Book SCOPUS Indexed.
11. Abhishek Tiwari, “Multidimensional Medical Imaging Analysis Alzheimer’s Disease via Image Processing and Machine Learning: A Review, Diagnosis and Challenges, 3rd International Conference on Innovative Computing and Communication (ICICC-2020) 21- 21-23rd Feb, 2020 proceeding at Elsevier SSRN ©2020 Elsevier (SCOPUS Indexed).

2019

12. Abhishek Tiwari et al., “Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research, 3rd IEEE International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2019) proceeding at IEEE Xplore, organized on 12-14, December 2019 (SCOPUS Indexed).

2018 

13. Abhishek Tiwari and Sanjeev Kumar Ojha, “Design and analysis of intrusion detection system via neural network, SVM and neurofuzzy”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS-2018) proceeding at Springer AISC (Advances in Intelligent Systems and Computing) Series, indexed by SCOPUS, Springer link, ISSN: ISSN: 2194-5357.
14. Mayank Dixit, Abhishek Tiwari and Himanshu Pathak, “An overview of deep learning architectures, libraries and its applications areas”, International Conference on Advances in Computing, Communication Control and Networking (ICACCCN-2018) proceeding at IEEE Xplore (IEEE Conference Record Number : #43907)  ISBN No.  978-1-5386-4119-4.

2017 

15. Abhishek Tiwari, “Real time intrusion detection system using computational intelligence and neural network: Review, analysis and anticipated solution of machine learning” Springer International Conference on Information Technology and Applied Mathematics (ICITAM-2017) proceeding at Springer Book Series: Information Technology and Applied Mathematics, ISBN:978-981-10-7590-2, ISSN 2194-5357.
16. Abhishek Tiwari et al., “An effective approach for secure video watermarking based on H.264 Standard” 3rd IEEE International Conference on Computational Intelligence and Communication Technology (CICT-2017) indexed by Scopus and proceeding at IEEE Xplore.  
17. Abhishek Tiwari and Ankit Vidyarthi, “Semantically ontology merging with intelligent information retrieval using SPARQL on education domain” International Conference on Communication and Computing System, indexed by CRC Press, Taylor & Francis Group.( Published as Book Chapter at CRC Press/Balkema -Taylor & Francis Group) ISBN: 9781138029521- CAT#K29517 [Book cost £ 230 pound].

2016

2015

18. Abhishek Tiwari and Kamlesh K.Gupta, “An effective approach of digital image watermarking for copyright protection” International Journal of Big Data Security Intelligence Vol.2 No.1(2015), pp 7-17 http://dx.doi.org/10.14257/ijbdsi.2015.2.1.02 ISSN: 2383-7047 SERSC: Science & Engineering Research Support Society,Sandy Bay, Australia.
19. R. Gupta and Abhishek Tiwari, “Analysis of satellite  image  filters for RISAT: A Review”, Int. J. of Grid Distribution Computing Vol. 8, No.5, (2015), pp.111-116 http://dx.doi.org/10.14257/ijgdc.2015.8.5.10 ISSN: 2005-4262 SERSC: Science & Engineering Research Support Society, Sandy Bay, Australia.

 2014

20. Abhishek Tiwari and Neelesh Kumar Jain, “Wave atom based compression method for fingerprint images” International Conference on Advances in Computing & Communication Engineering (ICACCE-14) sponsors by IEEE, ACM and TEQIP-II (Published as Book Chapter at Excel India Publishers) ISBN: 978-93-83842-15-5 [Book cost $80].
21. Abhishek Tiwari, Neelesh Kumar Jain and Devraj Tomar, “Analysis of multiscale transform based digital image watermarking for multimedia files”, Int. J. for Scientific Research and Development,  ISSN: 2321- 0613  Volume 2, Issue 2, in April 2014 pp.177-182.

• IEEE Professional Member – 100531188
   
• International Association of Engineers (IAENG) — Membership No.: 141433

• Computer Science Teachers Association (CSTA / ACM) — Membership No.: 09699226

• Universal Association of Computer and Electronics Engineers (UACEE) — Membership No.: AM10100051390

• International Association of Computer Science and Information Technology (IACSIT) — Membership No.: 80350947

Abhishek Tiwari, Deep Learning for Diffusion Tensor Imaging Estimation: Unlocking Sparse Diffusion MRI. Eliva Press, Republic
of Moldova, Europe, 2025, ISBN:978 99993 2 777 0. [Available on Amazon]

• IEEE Fellow

• ACM Fellow