Adnan Ferdous Ashrafi
Affiliations
Master's Student, Graduate Assistant-Teaching
Contact information
Location
Lab: ICT515
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Background
Educational Background
MSc Computer Science and Engineering, Islamic University of Technology, 2025
BSc Computer Science and Engineering, Islamic University of Technology, 2014
Biography
Adnan Ferdous Ashrafi is currently a M.Sc. Student working in the domain of Biomedical Health Analysis. He is also a Graduate Assistant-Teaching at the Department of Computer Science of the University of Calgary, Alberta, Canada. He is working in the Data and Network Sciences & Applications (DANSA) Lab under the supervision of Prof. Dr. Reda Alhajj. He received both M.Sc and B.Sc. degree in computer science and engineering (CSE) from the Islamic University of Technology (IUT), specializing in the field of computer vision. Since 2015, he has been a Senior Lecturer at Stamford University Bangladesh, where he was dedicated to fostering the next generation of computer scientists. In addition, he has shared his expertise as a trainer for the software design and architecture course with BASIS, helping to bridge the gap between theory and practical application in software development. He has made significant contributions to the academic community, publishing several high-impact research works in reputable journals, including IEEE, Elsevier, and Springer. His research interests include diverse and impactful, encompassing bioinformatics, biomedical image processing, image segmentation, computer vision, and human–computer interaction.
Research
Areas of Research
Courses
| Course number | Course title | Semester |
|---|---|---|
| CPSC 217 |
Publications
- DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images. Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A. K. M. Muzahidul Islam & Salekul Islam. Neural Computing and Applications. 14379–14401. (2023)
- BFER-Net: Babies Facial Expression Recognition Model using ResNet12 Enabled Few-shot Embedding Adaptation and Convolutional Block Attention Modules. Sumiya Arafin, Adnan Ferdous Ashrafi, Md. Golam Rabiul Alam, Ashis Talukder. IEEE Access. 37302-37317. (2025)
- Know Your Chemistry Set: Exploring Chemical Laboratory Object Detection Using YOLOv8 and YOLOv9. Jahid Hasan Siddiqui, Raihan Uddin Ahmed, Adnan Ferdous Ashrafi, Sumiya Arafin. Proceedings of 2024 27th International Conference on Computer and Information Technology (ICCIT). 2116-2121. (2024)
- A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning. Sayeda Sanzida Ferdous Ruhi, Fokrun Nahar, Adnan Ferdous Ashrafi. Proceedings of 2024 27th International Conference on Computer and Information Technology (ICCIT). 517-522. (2024)
- MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification. Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Tanveer Ahmed. Proceedings of 2022 25th International Conference on Computer and Information Technology (ICCIT). 757-762. (2022)
- Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques. Mehedi Hasan Sarkar, Adnan Ferdous Ashrafi. Proceedings of 2022 25th International Conference on Computer and Information Technology (ICCIT). 1038-1043. (2022)
- SwinMedNet: Leveraging Swin Transformer for Robust Diabetic Retinopathy Classification from the RetinaMNIST2D Dataset. Mominul Haque, Sweety Akter, Adnan Ferdous Ashrafi. Proceedings of 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT). 1286-1291. (2024)
- A Machine Learning based Approach for Mapping Personality Traits and Perceived Stress Scale of Undergraduate Students. Ahmed Al Marouf, Adnan Ferdous Ashrafi, Tanveer Ahmed, Tarikuzzaman Emon. International Journal of Modern Education and Computer Science (IJMECS). 42-47. (2019)
- Looking Behind the Mask: A framework for Detecting Character Assassination via Troll Comments on Social media using Psycholinguistic Tools. Ahmed Al Marouf, Rasif Ajwad, Adnan Ferdous Ashrafi. Proceedings of 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE). 1-5. (2019)
- A modified algorithm for DNA motif finding and ranking considering variable length motif and mutation. Adnan Ferdous Ashrafi, A. K. M Iqtidar Newaz, Rasif Ajwad, Moin Mahmud Tanvee, M. A. Mottalib. Proceedings of 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). 12-17. (2015)
More Information
- CPSC 217 - Introduction to Computer Science for Multidisciplinary Studies I (Fall 2025)
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