Resume
Resume
I am a final year PhD researcher. My current work includes analyzing generative AI for image restoration, building lightweight segmentation architectures, and designing novel knowledge distillation methods for time-series forecasting and image regression models, with first-author publications in Springer The Visual Computer, Elsevier Signal Processing: Image Communication, Elsevier Measurement: Energy and IEEE IGARSS. Interests: Computer Vision, Generative AI, Image Restoration, Knowledge Distillation, Edge AI.
Sept 2023 – Mar 2027 (expected)
PhD in Computer Science, University College Dublin
Research: Developing and improving deep learning and model optimisation techniques for efficient solar energy forecasting.
Jan 2018 – May 2022
BSc in Computer Science and Engineering, North South University
Thesis: A novel model-compression technique for OCR models.
2026 I.R. Nijhum, M.S. Reza, and S. Dev, “Efficient Cloud Segmentation from Nychthemeron and Multi-Regional Ground-Based Sky Images,” The Visual Computer (in press). [PDF] [GitHub]
2026 I.R. Nijhum, M.Y. Hossain, M.S. Reza, M.M.H. Rakib, and S. Dev, “Visual-Conditioned Prompting for All-in-One Remote Sensing Image Restoration,” Signal Processing: Image Communication (in press). [PDF] [GitHub]
2026 I.R. Nijhum*, C. Scanlon*, and S. Dev, “Design and Evaluation of a Dual-Spectrum Low-Cost Sky Imager for Enhanced Solar Prediction,” Measurement: Energy, Art. no. 100103. doi: 10.1016/j.meaene.2026.100103. *Equal contribution.
2025 I.R. Nijhum, T. Akinola, M.E. Ali, and S. Dev, “Optimizing Lightweight Photovoltaic Forecasting Models: A Distillation Approach,” in Proc. IGARSS 2025 – 45th IEEE Int. Geoscience and Remote Sensing Symp., Brisbane, Australia. [IEEE] [PDF]
2025 I.R. Nijhum, M.S. Reza, and S. Dev, “TINY-UCLOUDNET: Memory Efficient Ground-Based Cloud Segmentation Network,” in Proc. IGARSS 2025 – 45th IEEE Int. Geoscience and Remote Sensing Symp., Brisbane, Australia. [IEEE]
2025 M.Y. Hossain, M.M.H. Rakib, S. Rajit, I.R. Nijhum, and R.M. Rahman, “Adaptive and Automatic Aerial Image Restoration Pipeline Leveraging Pre-Trained Image Restorer with Lightweight Fully Convolutional Network,” Expert Systems with Applications, vol. 259, 2025, Art. no. 125210. doi: 10.1016/j.eswa.2024.125210.
For a complete list of publications, please visit the Publication page
Research
Sept 2023 – Present
PhD Researcher, University College Dublin – School of Computer Science
Research on efficient deep learning for solar energy forecasting, including knowledge distillation, lightweight cloud segmentation, infrared sky imaging and image restoration.
2026 – Present
Research Collaborator, VoiceHealthAI
Collaborating on benchmarking large language models for a voice-based healthcare application.
Jan 2023 – Jun 2023
Research Assistant, TnR Lab – North South University, Bangladesh
Contributed to the development of a secure biomedical system combining Federated Learning and Blockchain. Worked on model design and experimentation for privacy-preserving learning, and supported system-level integration focused on data security and decentralised computation.
Teaching
Jan 2024 – Present
Graduate Demonstrator, University College Dublin – School of Computer Science
Assisting with labs and tutorials, supporting students with coursework, and providing feedback on practical and theoretical material. Modules:
Data Science in Python (Autumn 2026)
Formal Foundations 1 (Autumn 2025, 2026)
Information Visualisation (Autumn 2025, 2026)
Object-Oriented Programming in Python (Autumn 2024, 2026)
Contemporary Software Development (Spring 2024, 2026)
Data Science in Practice (Spring 2026)
Introduction to Relational Databases and SQL Programming (Spring 2025)
Software Engineering Project 1 (Spring 2025)
Foundations of Computing (Autumn 2024)
Feb 2023 – Jun 2023
Lecturer, RTM Al-Kabir Technical University, Bangladesh – Dept. of Computer Science & Engineering
Delivered lectures and practical sessions on Object-Oriented Programming and Data Structures & Algorithms (Spring 2023). Designed course materials and supported learning through assignments and assessments.
Industry
Nov 2021 – Apr 2022
Data Science Intern, Cramstack Limited
Data analysis and visualisation using Python and business intelligence tools; OCR-based processing of scanned documents for a file-management application.
Conference Presentations
27 Aug 2026
Oral presentation, 28th Irish Machine Vision and Image Processing Conference (IMVIP 2026)
Maynooth University, Maynooth, Ireland.
15 Jul 2026
Oral presentation, International Congress on Environmental Modelling and Software (iEMSs 2026)
University College Dublin, Dublin, Ireland.
14 May 2026
Poster presentation, ADAPT Annual Scientific Conference 2026
The Helix, Dublin City University, Dublin, Ireland.
8 Aug 2025
Oral presentation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025)
Brisbane, Australia.
Internal Research Talks
20 Nov 2024
“Efficient Deep Learning for Solar Forecasting through Knowledge Distillation”
Transforming Digital Content Challenge Meeting, ADAPT Centre, Dublin, Ireland.
Reviewing
2026
Reviewer (2 reviews), Engineering Applications of Artificial Intelligence, Elsevier
Professional Membership
2026 – Present
Member, UCD Energy Institute, University College Dublin, Ireland
2022
Best Poster, Innovation Challenge, North South University
2020 – 2022
Sub Executive, NSU ACM Student Chapter
Coordinated and led multiple international and intra-university events, including “Semi-code” and “HackNSU”. Managed a team of nearly 200 members, planning contests and recruitment events.
2019
1st Runner-Up, HackNSU, Bangladesh
Programming Languages: Python, Java, C, C++
ML/DL Frameworks: PyTorch, TensorFlow, Keras, FastAPI, Flower (Federated Learning)
Data Analysis & Visualisation: pandas, NumPy, scikit-learn, matplotlib, seaborn, plotly, Google Data Studio
Tools & Version Control: LaTeX, Jupyter, Optuna, MySQL, Firebase, Git, GitHub, Bitbucket