Dr. Abhishek Tiwari, PhD
Birla Institute of Technology, Mesra, Bennett University, Shiv Nadar University, Jaypee University of Engineering and Technology, Veer Bahadur Singh Purvanchal University
About
๐๐ซ. ๐๐๐ก๐ข๐ฌ๐ก๐๐ค ๐๐ข๐ฐ๐๐ซ๐ข, ๐๐ก๐
๐ฌ AI Research Scientist |Assistant Professor @Birla Institute of Technology Mesra, Ranchi, India | Shiv Nadar IoE (HCL Group R&D) | MICCAI ๐
QuaD22 Singapore, ICCV23 Paris, ACML23 Turkey, ICPR 2024, WACV 2025, IEEE AVSS2026 Italy | 17K+ followers @LinkedIn
He earned his Ph.D. in Computer Science Engineering from Shiv Nadar University (Institution of Eminence- HCL Group R&D), India. His academic journey includes a Master of Technology (M.Tech.) in Computer Science Engineering and a Bachelor of Technology (B.Tech.) in Information Technology, where he achieved the distinction of being a Gold Medalist. He is recognized for his academic excellence and was awarded the "Chancellor Medal" by the U.P. Governor. Dr. Abhishek's scholarly pursuits have been further supported by notable scholarships, including the Russian Government Scholarship, ACM India Travel Grant and the Fully Funded HCL Ph.D. Scholarship via Shiv Nadar Institution of Eminence India. His research achievements are reflected in his participation and rank in the MICCAI 2022 Singapore Challenge QuaD22, as well as being honored with the "Young Scientist Award" in 2020.
ACHIEVEMENTS
๐๐๐ ๐๐ก.๐. ๐๐๐ก๐จ๐ฅ๐๐ซ๐ฌ๐ก๐ข๐ฉ 33.24 Lacs (Fully-Funded) via Shiv Nadar Institution of Eminence, India
โ๐๐ก๐๐ง๐๐๐ฅ๐ฅ๐จ๐ซ ๐๐๐๐๐ฅ" awarded by ๐.๐. ๐๐จ๐ฏ๐๐ซ๐ง๐จ๐ซ Honorable B.L. Joshi ji.
๐๐ฎ๐ฌ๐ฌ๐ข๐๐ง ๐๐จ๐ฏ๐๐ซ๐ง๐ฆ๐๐ง๐ญ ๐๐๐ก๐จ๐ฅ๐๐ซ๐ฌ๐ก๐ข๐ฉ via Moscow Institute of Physics and Technology, Russia
โYoung Scientist Awardโ via #10th_International_Scientist_Awards_2020
๐๐๐๐๐๐ ๐๐๐๐ ๐๐ข๐ง๐ ๐๐ฉ๐จ๐ซ๐ Challenge QuaD22, International Rank Holder
Participate in The 2023 Global Young Scientists Summit (#GYSS)! on 17-20 January 2023, which will be organized by the ๐๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง (๐๐๐
), ๐๐ซ๐ข๐ฆ๐ ๐๐ข๐ง๐ข๐ฌ๐ญ๐๐ซ'๐ฌ ๐๐๐๐ข๐๐, ๐๐ข๐ง๐ ๐๐ฉ๐จ๐ซ๐.
ACM India Travel Grant Awarded - ๐๐๐๐ ๐๐๐๐ ๐๐๐ซ๐ข๐ฌ (๐ช๐๐๐ ๐น๐๐๐ ๐จ* ๐ฐ๐ฌ๐ฌ๐ฌ/๐ช๐ฝ๐ญ ICCV International Conference, h-index 228)
- ICCV Acceptance Rate= 18.12 %
Ethical AI-Driven Tract-Based Classification for Early Alzheimerโs Detection using Sparse Diffusion MRI has been Accepted at *๐พ๐จ๐ช๐ฝ ๐๐๐๐ ๐๐๐ โ ๐ฐ๐ฌ๐ฌ๐ฌ/๐ช๐ฝ๐ญ ๐พ๐๐๐๐๐ ๐ช๐๐๐๐๐๐๐๐๐ ๐๐ ๐จ๐๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐ช๐๐๐๐๐๐๐ ๐ฝ๐๐๐๐๐ (๐ช๐๐๐ ๐น๐๐๐ ๐จ*)
๐ 27th International Conference on Pattern Recognition (๐๐๐๐ ๐๐๐๐) - Doctoral Consortium [Core Rank A] ๐
ยท ๐
Dec 1, 2024 ยท ๐ง Deep Learning-Based Framework for DTI Parameters Estimation & Analysis for Sparse Diffusion MRI Data
Employment
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Birla Institute of Technology, Mesra Assistant Professor2025 - Present
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Bennett University Assistant Professor2024 - 2025
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Shiv Nadar University PhD Researcher (HCL Group R&D Shiv Nadar IoE)2021 - 2024
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Galgotias Educational Institutions Assistant Professor2017 - 2021
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ABES Engineering College Assistant Professor2015 - 2017
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ITM University Assistant Professor2014 - 2015
Education
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Shiv Nadar University PhD - AI for Healthcare (Diffusion MRI, Medical Image Analysis, Early Neurodegenerative Disease Diagnosis) ๐ฌ2020 - 2024
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Jaypee University of Engineering and Technology M.Tech.2012 - 2014
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Veer Bahadur Singh Purvanchal University B.Tech.(Gold-Medalist, Chancellor Medal via UP Governor)2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Tract-Specific Biomarker Discovery forย Early Alzheimerโs Disease Using Sparse Diffusion MRI andย AI Framework Save
- Deep Learning-Based Framework for DTI Parameters Estimation and Analysis for Sparse Diffusion MRI Data Save
- SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data Save
- Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia Save
- Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia Save
- Outage Performance of Hybrid FSO/RF-FSO Communication System with single threshold Save
- Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies Save
- Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies Save
- Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Imagesโฑ Save
- A Systematic Survey on COVID 19 Detection and Diagnosis by Utilizing Deep Learning Techniques and Modalities of Radiology Save