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Hire Dr. Abhishek T.

India

USD 40 /hr

🚀AI & Deep Learning Expert in Healthcare | 🧠PhD - AI in Healthcare | 💡AI Consultant & Startup Advisor | 11+ yrs

Profile Summary

🔬 𝐅𝐨𝐫 𝐏𝐡𝐃 𝐀𝐬𝐩𝐢𝐫𝐚𝐧𝐭 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭 | 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 | 𝐏𝐚𝐩𝐞𝐫 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 PhD (AI in Healthcare) | I help PhD scholars, postdocs, and researchers design high-impact studies, write Q1-level research papers, and publish in top-tier venues (ICCV, MICCAI, WACV, ACML). I offer end-to-end guidance on AI/ML for medical imaging, tractography, sparse data modeling, and clinical diagnostics. From ideation to publication, I provide technically sound, ethically grounded, and publication-ready support. 🎓 𝐅𝐨𝐫 𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐜/𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 I specialize in writing, reviewing, and mentoring scientific manuscripts in AI, deep learning, and medical imaging. With multiple accepted papers in Q1 journals and top conferences (WACV 2025 USA, ICPR 2024 India, ICCV 2023 Paris, ACML 2023 Turkey, MICCAI 2022 Singapore, ACM ICVGIP 2022), I offer insights that increase acceptance rates. I also help design experiments, visualizations, and revisions as per reviewer comments. 🤖 𝐅𝐨𝐫 𝐀𝐈 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭 𝐑𝐨𝐥𝐞𝐬 I bring over 10 years of experience in deep learning, generative AI, and advanced medical imaging. I’ve helped design scalable AI strategies for projects ranging from healthcare diagnostics to generative models for sparse data. If you need a strategic roadmap for AI, help choosing the right models (build vs buy), or ethical insights for responsible AI, I'm your trusted advisor. 🚀 𝐅𝐨𝐫 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐀𝐝𝐯𝐢𝐬𝐨𝐫 𝐑𝐨𝐥𝐞𝐬 As a startup advisor with research and teaching experience, I help early-stage companies navigate the technical, ethical, and strategic challenges of launching AI-driven products—especially in healthcare and medical imaging. I assist with prototype design, team mentorship, and research-backed validation plans to accelerate your roadmap. 🧠 𝐅𝐨𝐫 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐈𝐦𝐚𝐠𝐢𝐧𝐠 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 Expert in AI for brain imaging, diffusion MRI, and tract-based disease classification. My research focuses on deep learning frameworks for Alzheimer’s, dementia, and neurodegeneration diagnosis using sparse data. Tools: TensorFlow, PyTorch, DIPY, FSL, 3D Slicer, NiBabel. 𝓐𝓒𝓗𝓘𝓔𝓥𝓔𝓜𝓔𝓝𝓣𝓢 - 𝐇𝐂𝐋 𝐏𝐡.𝐃. 𝐒𝐜𝐡𝐨𝐥𝐚𝐫𝐬𝐡𝐢𝐩 33.24 Lacs (Fully-Funded) via Shiv Nadar Institution of Eminence, India “𝐂𝐡𝐚𝐧𝐜𝐞𝐥𝐥𝐨𝐫 𝐌𝐞𝐝𝐚𝐥" awarded by 𝐔.𝐏. 𝐆𝐨𝐯𝐞𝐫𝐧𝐨𝐫 Honorable B.L. Joshi ji. 𝐑𝐮𝐬𝐬𝐢𝐚𝐧 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐒𝐜𝐡𝐨𝐥𝐚𝐫𝐬𝐡𝐢𝐩 via Russian Federation - Moscow Institute of Physics and Technology, Moscow, Russia “Young Scientist Award” via #10th_International_Scientist_Awards_2020 𝐌𝐈𝐂𝐂𝐀𝐈 𝟐𝟎𝟐𝟐 𝐒𝐢𝐧𝐠𝐚𝐩𝐨𝐫𝐞 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 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 (𝐍𝐑𝐅), 𝐏𝐫𝐢𝐦𝐞 𝐌𝐢𝐧𝐢𝐬𝐭𝐞𝐫'𝐬 𝐎𝐟𝐟𝐢𝐜𝐞, 𝐒𝐢𝐧𝐠𝐚𝐩𝐨𝐫𝐞. ACM India Travel Grant Awarded - 𝐈𝐂𝐂𝐕 𝟐𝟎𝟐𝟑 𝐏𝐚𝐫𝐢𝐬 (𝑪𝒐𝒓𝒆 𝑹𝒂𝒏𝒌 𝑨* 𝑰𝑬𝑬𝑬/𝑪𝑽𝑭 ICCV International Conference, h-index 228) - ICCV Acceptance Rate= 18.12 % Ethical AI-Driven Tract-Based Classification for Early Alzheimer’s Detection using Sparse Diffusion MRI has been Accepted at *𝑾𝑨𝑪𝑽 𝟐𝟎𝟐𝟓 𝐔𝐒𝐀 – 𝑰𝑬𝑬𝑬/𝑪𝑽𝑭 𝑾𝒊𝒏𝒕𝒆𝒓 𝑪𝒐𝒏𝒇𝒆𝒓𝒆𝒏𝒄𝒆 𝒐𝒏 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏𝒔 𝒐𝒇 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏 (𝑪𝒐𝒓𝒆 𝑹𝒂𝒏𝒌 𝑨*) 🎓 27th International Conference on Pattern Recognition (𝐈𝐂𝐏𝐑 𝟐𝟎𝟐𝟒) - Doctoral Consortium [Core Rank A] 🏅 · 📅 Dec 1, 2024 · 🧠 Deep Learning-Based Framework for DTI Parameters Estimation & Analysis for Sparse Diffusion MRI Data 🔬 AI Research Scientist | Prof. @Bennett University (Times of India Group) India | Shiv Nadar IoE (HCL Group R&D) | MICCAI 🏅QuaD22 Singapore, ICCV23 Paris, ACML23 Turkey, ICPR 2024 India, WACV 2025 USA | 13K+ followers @LinkedIn

Subject Matter Expertise

• ★ Deep Learning
• ★ Medical Imaging/Radiology
• ★ Health Informatics
• ☆ Biostatistics
• ☆ Computer Science
• ☆ Information Technology
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Oracle
• ☆ In vitro Diagnostics
• ☆ Biomarker Analysis
• ☆ Interventional Radiology
• ☆ Nuclear Medicine
• ☆ Health Technology Assessment
• ☆ Magnetic Resonance Imaging (MRI)
• ☆ Medical X-Ray
• ☆ Mammography
• ☆ Positron Emission Tomography (PET)
• ☆ Image-Guided Biopsy
• ☆ Diagnostic Radiology
• ☆ Muscoskeletal Radiology
• ☆ Pediatric Radiology

Services

• Writing
• Data & AI

Writing Technical Writing

Data & AI Predictive Modeling, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization

Work Experience

Assistant Professor

Bennett University

February 2024 - Present

PhD Researcher (HCL Group R&D Shiv Nadar IoE)

Shiv Nadar University

December 2021 - February 2024

Assistant Professor

Galgotias Educational Institutions

February 2017 - December 2021

Assistant Professor

ABES Engineering College

July 2015 - January 2017

Assistant Professor

ITM University

July 2014 - July 2015

Education

Doctoral Researcher (Computer Science and Engineering)

Shiv Nadar University

August 2020 - Present

M.Tech. (Computer Science and Engineering)

Jaypee University of Engineering and Technology

2012 - 2014

B.Tech.(Gold-Medalist, Chancellor Medal via UP Governor) (Information Technology)

Veer Bahadur Singh Purvanchal University

2007 - 2011

Certifications

• Certification details not provided.

Publications

DISSERTATION THESIS

Dr. Abhishek Tiwari, PhD(2024). Deep Learning-Based Framework for DTI Parameters Estimation and Analysis for Sparse Diffusion MRI Data . 27th International Conference on Pattern Recognition (ICPR 2024)-Doctoral Consortium [Core Rank A] · Dec 1, 2024. p. 3821-3827.

JOURNAL ARTICLE

Abhishek Tiwari, Rajeev Kumar Singh, Saurabh J. Shigwan (2024). SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data . Neural Computing and Applications.

Tiwari, A., Singh, R.K., Shigwan, S.J.(2024). SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data . Neural Computing and Applications. 36. (6). p. 3179-3196.

Abhishek Tiwari, Santiago Aja-Fernández, Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Abrar Faiyaz, Md Nasir Uddin, Giovanni Schifitto, Saurabh J. Shigwan, Rajeev Kumar Singh, Tianshu Zheng, et al. (2023). Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies . NeuroImage: Clinical.

Aja-Fernández, S., Martín-Martín, C., Planchuelo-Gómez, Á., Faiyaz, A., Uddin, M.N., Schifitto, G., Tiwari, A., Shigwan, S.J., Kumar Singh, R., Zheng, T., et al.(2023). Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies . NeuroImage: Clinical. 39.

Gupta, R., Tiwari, A., Khatri, P.(2015). Analysis of satellite image filter for RISAT: A review . International Journal of Grid and Distributed Computing. 8. (5). p. 111-116.

CONFERENCE PAPER

Dr. Abhishek Tiwari, PhD(2023). Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia . ICCV2023 Paris Proceedings of the IEEE/CVF International Conference on Computer Vision ICCV Core Rank A* conference, h-index = 228 Acceptance rate 1450/8000 = 18.12 %. p. 3821-3827.

Tiwari, A., Singhal, A., Shigwan, S.J., Kumar Singh, R.(2023). Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia . Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. p. 3823-3829.

Rani, R., Tiwari, A., Tiwari, A., Singh, A., Singh, A., Lakshmanan, M.(2023). Outage Performance of Hybrid FSO/RF-FSO Communication System with single threshold . ViTECoN 2023 - 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, Proceedings.

Abhishek Tiwari, Rajeev Kumar Singh (2022). Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images✱ .

Tiwari, A., Singh, R.K.(2022). Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Imagesg± . ACM International Conference Proceeding Series.

Agrawal, S., Singh, A., Tiwari, A., Mishra, A., Tripathi, A.(2022). A Systematic Survey on COVID 19 Detection and Diagnosis by Utilizing Deep Learning Techniques and Modalities of Radiology . ACM International Conference Proceeding Series. p. 446-452.

Sinha, A., Kumar, A., Tiwari, A., Yadav, K.(2021). Analysis of Combined Effect of Temperature and Wind on Solar Power Production . Lecture Notes in Electrical Engineering. 723 LNEE. p. 593-603.

Dr. Abhishek Tiwari, PhD, Manisha Chaudhari, Ankita Rai(2019). Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research . 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). {IEEE}

Tiwari, A., Chaudhari, M., Rai, A.(2019). Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research . Proceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019. p. 237-242.

Tiwari, A., Ojha, S.K.(2019). Design and analysis of intrusion detection system via neural network, SVM, and neuro-fuzzy . Advances in Intelligent Systems and Computing. 755. p. 49-63.

Tiwari, A.(2019). Real-time intrusion detection system using computational intelligence and neural network: Review, analysis and anticipated solution of machine learning . Advances in Intelligent Systems and Computing. 699. p. 153-161.

Dr. Abhishek Tiwari, PhD, Mayank Dixit, Himanshu Pathak, Rani Astya(2018). An overview of deep learning architectures, libraries and its applications areas . 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). {IEEE}

DIxit, M., Tiwari, A., Pathak, H., Astya, R.(2018). An overview of deep learning architectures, libraries and its applications areas . Proceedings - IEEE 2018 International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018. p. 293-297.

Dr. Abhishek Tiwari, PhD, Sanjeev Kumar Ojha, Dmitry Pantiukhin(2017). An effective approach for secure video watermarking based on H.264 coding standard . 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT). {IEEE}

Tiwari, A., Ojha, S.K., Pantiukhin, D.(2017). An effective approach for secure video watermarking based on H.264 coding standard . 3rd IEEE International Conference on.

Tiwari, A., Vidyarthi, A.(2017). Semantically ontology merging with intelligent information retrieval using sparql on education domain . Communication and Computing Systems - Proceedings of the International Conference on Communication and Computing Systems, ICCCS 2016. p. 457-461.

OTHER

Aja-Fernández, S., Martín-Martín, C., Planchuelo-Gómez, Á., Faiyaz, A., Uddin, Md.N., Schifitto, G., Tiwari, A., Shigwan, S.J., Singh, R.K., Zheng, T., et al.(2023). Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies . SSRN.

Tiwari, A.(2020). Multidimensional Medical Imaging Analysis Alzheimer’s Disease via Image Processing and Machine Learning: A Review, Diagnosis and Challenges . SSRN.

BOOK CHAPTER

Tiwari, A., Nazarov, A.N.(2021). Super-resolution imaging and intelligent solution for classification, monitoring, and diagnosis of Alzheimer's disease . Computational Intelligence Methods for Super-Resolution in Image Processing Applications. p. 249-260.

Dr. Abhishek Tiwari, PhD, Alexey N. Nazarov(2021). Super-Resolution Imaging and Intelligent Solution for Classification, Monitoring, and Diagnosis of Alzheimer’s Disease . Computational Intelligence Methods for Super-Resolution in Image Processing Applications. p. 249--260. Springer International Publishing

Dr. Abhishek Tiwari, PhD(2019). Real-Time Intrusion Detection System Using Computational Intelligence and Neural Network: Review, Analysis and Anticipated Solution of Machine Learning . Advances in Intelligent Systems and Computing. p. 153--161. Springer Singapore

Dr. Abhishek Tiwari, PhD, Sanjeev Kumar Ojha(2019). Design and Analysis of Intrusion Detection System via Neural Network, SVM, and Neuro-Fuzzy . Advances in Intelligent Systems and Computing. p. 49--63. Springer Singapore

Dr. Abhishek Tiwari, PhD, Ankit Vidyarthi(2016). Semantically ontology merging with intelligent information retrieval using SPARQL on education domain . Communication and Computing Systems. {CRC} Press