Personal Information
I am driven by a deep desire to understand the world at its core. My purpose lies in blending knowledge, teaching, technology, and human connection to uplift lives and address real-world challenges.
With a passion for education, innovation, and critical thinking, I strive to empower individuals with knowledge, develop intelligent solutions to societal problems, and contribute to building a world that is more informed, efficient, and healthier. For me, true impact means enabling more people to live with clarity, dignity, and possibility.
Academic Information
1. PhD in Deep Learning-based Medical Image Analysis from NIT Patna.
2. M.Tech from Indian Institute of Technology, Kanpur in Laser & Photonics.
3. B.Tech in Electronics & Communication Engineering from Uttar Pradesh Technical University, Lucknow.
Research Information
My current research focuses on Medical Image Segmentation using Deep Learning (DL) techniques. I have worked extensively with U-shaped models and explored advanced methods such as semi-supervised learning, image super-resolution, fractional-order gradient descent optimizers, self-attention-based transformers, and various attention mechanisms. Additionally, I have investigated multi-task learning to enhance model performance. A key aspect of my work involves developing computationally efficient models to enable their real-time deployment in clinical settings.
Google Scholar Link
ResearchGate Profile Link
Achievements
Patents
- SYSTEM AND METHOD FOR EARLY-STAGE BRAIN TUMOR SEGMENTATION, Indian Patent (Granted), Patent Number: 570806, Application Number: 202431053474.
- System and Method for Automatic Polyp Segmentation Using Multi-task Hybrid Vision Transformer in Endoscopic Imaging (Submitted).
Research Papers (Published/Accepted Journal Papers)
- MaS-TransUNet: A Multi-Attention Swin Transformer U-Net for Medical Image Segmentation (2024), IEEE Transactions on Radiation and Plasma Medical Sciences (ESCI).
- Advances in Deep Learning Models for Resolving Medical Image Segmentation Data Scarcity Problem: A Topical Review (2024), Archives of Computational Methods in Engineering (Springer, SCIE).
- Semi-Supervised Modified-UNet for Lung Infection Image Segmentation (2023), IEEE Transactions on Radiation and Plasma Medical Sciences (ESCI).
- A new approach on approximate controllability of Sobolev-type Hilfer fractional differential equations (2023), An International Journal of Optimization and Control: Theories & Applications (IJOCTA) (ESCI).
- Correlation study to identify the factors affecting COVID-19 case fatality rates in India (2021), Diabetes and Metabolic Syndrome: Clinical Research and Reviews (Elsevier, ESCI)
- Study Of Dvd Player Components For Developing Cost-Effective Confocal Microscope (2021), Turkish Online Journal of Qualitative Inquiry (TOJQI) (Scopus)
- Analysis of COVID-19 Case Fatality Rates in the States and Union Territories of India (2020), Resesarch Square Preprint.
- Effects of Educational and Socio-economic Factors on Child Marriages in India: A Statistical Analysis (2024), Indian Journal of Human Development (Sage Publication, Scopus).
- Hypertension Detection Using Time-Series Image Modalities and Convolutional Neural Network (2025), Journal of The Institution of Engineers (India): Series B (Springer, Scopus).
- HDL-Based LDPC-RS Encoder-Decoder with MEA Technique for Resilient ZedBoard Communication (2025), Engineering Research Express (IOP Science, ESCI).
Published/Accepted Conference Papers
- The Power Dissipation of Complementary Metal Oxide Semiconductor (CMOS) Inverter and Propagation Delay for Various Technologies (2023), IEEE ICSEIET (Scopus).
- EfficientNet-B3-based Automated Lung Cancer Detection System for CT Scans (2024), IEEE UPCON (Scopus).
- Power-efficient Hybrid-style Full Adders utilizing High-speed XOR-XNOR Circuits (2024), IEEE UPCON (Scopus).
- VascuDR-Net: A Dual-Stage U-Net for Vessel Segmentation and Diabetic Retinopathy Diagnosis (2025), 17th IEEE International Conference on Computational Intelligence and Communication Networks 2025 (Scopus).
5. A Proximity-Aware Framework for Enhancing Rider Safety Through Real-Time Road Hazard Detection (2025), 17th IEEE International Conference on Computational Intelligence and Communication Networks 2025 (Scopus)
Papers under Review
- SRS-TransUNet: A Super-Resolution Swin Transformer UNet for Automated Brain Tumor Measurement in MRI Scans (2025), IEEE Transactions on Multimedia.
- TriSegNet: A Lightweight Three-Stage Network for Low-Grade Glioma Segmentation in Brain MRI Scans (2025), IEEE Transactions on Cybernetics.
- Swin-MTUNet: A Multi-task Swin Transformer U-Net for Polyp Segmentation (2025), IEEE Transactions on Artificial Intelligence.
- Transformers in Medical Image Segmentation: A Comprehensive Review of Architectures, Applications, and Clinical Challenges (2025), Neurocomputing (Elsevier).
Professional Memberships
- Member, IEEE: Member Number – 99169111, Uttar Pradesh Section
- Professional Member of Association for Computing Machinery (ACM): Membership Number – 9519878
- Associate Member of The Institution of Engineers (India) – (IEI): Membership No – AM1999101
- Professional Member of International Association of Engineers (IAENG): Membership Number: 295986
Reviewer
- Biomedical Signal Processing and Control (Elsevier)
- BMC Medical Imaging (Springer Nature)
- Earth Science Informatics (Springer Nature)
- Discover Artificial Intelligence (Springer Nature)
- Scientific Reports (Nature Publication, Springer Nature)
- Signal, Image and Video Processing (Springer Nature)
- Journal of Radiation Research and Applied Sciences (Elsevier)
- Digital Signal Processing (Elsevier)
- Artificial Intelligence Review (Springer)
Achievements
1. In-charge, Training & Placements (2021- Till Date)
2. Convener, Cultural Events (2017-2021)
3. In-charge, Central Conference/Seminar Hall (2024-Till Date).
4. B.Tech Project Coordinator (2022-2025)
5. Department NBA/NAAC Coordinator
Google Scholar Profile
https://scholar.google.com/citations?user=tiqAE9QAAAAJ&hl=en&oi=ao
LinkedIn Profile
https://www.linkedin.com/in/ashwini-kumar-upadhyay-99055152/
Contact Details
Email: [email protected], [email protected]
LinkedIN
Website
