Mohsin Furkh Dar
Medical Image Analysis · Ultrasound · Uncertainty-Aware Deep Learning
I am an Assistant Professor in the School of Computer Science at UPES Dehradun, on the Research Faculty track. I develop deep learning methods for ultrasound image analysis that treat ambiguity — at lesion boundaries and across datasets — as a signal rather than noise, so that models stay reliable on the small, heterogeneous datasets typical of point-of-care imaging.
My doctoral work at the University of Hyderabad introduced a fuzzy rough set loss (Computerized Medical Imaging and Graphics, 2026) and an adaptive ensemble loss (Med. Biol. Eng. Comput., 2025) for segmentation, and efficient, interpretable classifiers for breast ultrasound (Neural Processing Letters, 2023; Image and Vision Computing, 2024; BSPC, 2026). At UPES I extended this work to breast, thyroid and fetal ultrasound as first and corresponding author of MSCT-Trans (Ultrasound in Medicine & Biology, 2026), written without my doctoral advisor.
Next, I plan to extend uncertainty-aware learning to maternal–fetal ultrasound. I teach B.Tech. and M.Tech. courses and supervise student projects in computer vision and applied machine learning.
- Publications
- 9
- Citations
- 115
- h-index
- 4
- i10-index
- 3
Education
2020 – 2026
Ph.D. in Computer Science
University of Hyderabad · Degree awarded 28 July 2026
Thesis: Advances in Deep Learning for Medical Image Segmentation and Classification. Advisor: Dr. Avatharam Ganivada, School of Computer and Information Sciences. Funded by the UGC Junior Research Fellowship (All India Rank 53).
2017 – 2019
M.Phil. in Computer Science
Mewar University
Thesis: Performance Comparison of Face Detection and Recognition Algorithms.
2013 – 2016
Master of Computer Applications (MCA)
University of Kashmir
Project: SMS Intimation System for Online Leave Management.
2010 – 2013
B.Sc.
University of Kashmir
Majors: Mathematics, Physics, Information Technology.
Experience
2025 – Present
Assistant Professor
School of Computer Science, UPES, Dehradun
- Joined in July 2025; moved to the Research Faculty track in January 2026
- First and corresponding author of MSCT-Trans (Ultrasound in Medicine & Biology, 2026), written at UPES without my doctoral advisor
- Teach B.Tech. and M.Tech. Computer Science courses; supervise B.Tech. and M.Tech. projects in machine learning and computer vision
2022 – 2024
Teaching Assistant
School of Computer and Information Sciences, University of Hyderabad
- Delivered tutorial and laboratory sessions for graduate courses in deep learning and computer vision
- Designed and evaluated programming assignments; mentored IMTech and M.Tech. students on course projects
- Guided two research assistants on fuzzy rough kernel-based extreme learning machines and mineral prospectivity classification
2021 – 2022
System Administrator, Artificial Intelligence Lab
School of Computer and Information Sciences, University of Hyderabad
- Managed GPU workstations and server infrastructure supporting the AI research group
- Configured and optimised deep learning software environments for lab-wide research use
May – Nov 2020
Assistant Professor
Government Degree College Uri, Baramulla, J&K
- Taught undergraduate Computer Science courses
- Developed course material for programming and data structures
Teaching
My teaching is learner-centric: Think-Pair-Share discussion, Jigsaw collaborative learning and peer instruction, built around conceptual clarity, reproducible experimentation and real datasets. I try to show students how foundational subjects — discrete mathematics, data structures, algorithms — underpin the AI systems they read about.
| Course | Level | Institution | Year |
|---|---|---|---|
| DevOps | B.Tech. Year 4 | UPES Dehradun | 2026 |
| Research Methodology in Computer Science | B.Tech. Year 3 | UPES Dehradun | 2026 |
| Python Programming | B.Tech. Year 1 | UPES Dehradun | 2026 |
| Database Systems | M.Tech. Year 1 | UPES Dehradun | 2025 |
| C Programming | B.Tech. Year 1 | UPES Dehradun | 2025 |
| Data Structures & Algorithms | B.Sc. CS Year 2 | Government Degree College Uri | 2020 |
| Discrete Mathematics | B.Sc. CS Year 2 | Government Degree College Uri | 2020 |
Courses assisted at the University of Hyderabad: Deep Learning for Computer Vision, Advanced Machine Learning, Neural Networks and Applications, Research Methodology.
Lecture slides, notes and assignments live on the Academic Portal; talks, MCQs and research presentations are collected here. Students interested in project supervision or research work are welcome to get in touch.
Grants & Funding
2024
Institution of Eminence (IoE) International Travel Grant
University of Hyderabad
₹1,00,000 covering registration, international travel and per-diem, competitively awarded to present at ICCCNet-2024 in Manchester, United Kingdom.
Awards & Honours
2019
UGC NET + JRF (Computer Science & Applications)
National Testing Agency (NTA)
Qualified with All India Rank 53.
Service
Journal reviewer
- IEEE Transactions on Medical Imaging
- IEEE Journal of Biomedical and Health Informatics
- Information Fusion (Elsevier)
- Image and Vision Computing (Elsevier)
- Engineering Applications of Artificial Intelligence (Elsevier)
- Neural Computing and Applications (Springer)
- Multimedia Tools and Applications (Springer)
- Journal of Clinical Ultrasound (Wiley)
Open science
Code for six publications is public on GitHub.
Presentations & Training
2024
Conference Presenter — ICCCNet-2024
Manchester, United Kingdom
Presented “Dynamic Weight-Adjusted Ensemble Loss for Enhanced Medical Image Segmentation”, funded by the IoE International Travel Grant.
2026
Train-the-Trainer (T3): Cloud Application Development
IBM · One-week programme
2025
Train-the-Trainer (T3): Pattern Recognition
IBM · One-week programme
2024
Workshop: MRI and EEG Data Analysis
IIIT Hyderabad
Skills
Programming & Deep Learning
- Python, C, MATLAB, SQL
- TensorFlow, Keras, PyTorch
- Scikit-learn, NumPy, Pandas, SciPy, OpenCV
- Fuzzy rough set theory and soft computing
- Explainable AI and multi-modal learning
Research & Academic
- Technical writing and publication
- Curriculum development
- Student mentoring and project supervision
- Research methodology
Tools & Infrastructure
- Linux system administration
- High-performance and GPU computing
- Version control (Git)
- Docker containerization
- DICOM medical image processing
Contact
Mohsin Furkh Dar
Assistant Professor, School of Computer Science
UPES Dehradun, India
- Google Scholar
- DGm9l2wAAAAJ
- ORCID
- 0000-0003-1756-9087
- Scopus
- 58484416800
- Researcher ID
- KIB-9833-2024
- Vidwan
- 638631
Research IDs