Dr. Nabeel Mohammed [NbM]

Associate Professor

PhD in Computer Science, Monash University, Australia

BSc(Hons) in Computer Science, Monash University, Australia

Office: SAC 917
Phone: +88 02 55668200 Ext – 6202
Email:
Google Scholar URL: https://scholar.google.com.au/citations?hl=en&user=w5djOYsAAAAJ&view_op=list_works&sortby=pubdate
Scopus Profile: https://www.scopus.com/authid/detail.uri?authorId=55637451200

Biography

Dr. Nabeel Mohammed is an Associate Professor at North South University with a PhD from Monash University, Australia. His expertise lies in Computer Vision and Natural Language Processing, where he combines rigorous academic research with real-world application. With over a decade of experience, he has developed AI-driven solutions across domains including large language models, manufacturing automation, and biometric systems.

As a founding member of the Machine Intelligence Lab (MILab) and manager of the Apurba-NSU R&D Lab, Dr. Mohammed has led successful collaborations with industry partners such as Apurba Technologies, RobotBulls, HeadBlocks, Altersense, icddr,b, and Selise, advancing applied AI across diverse sectors.

His research has been published in top-tier venues including KDD, EMNLP, NAACL, BMVC, ICPR, IEEE BigData, and IEEE Transactions amongst others.

Research Areas

Research Interests

Computer Vision, Natural Language Processing, Generative AI

Teaching

Selected Publications

Journals
  • Nafew Azim, Nabeel Mohammed, “STEALTH: Secure Transformer for Encrypted Alignment of Latent Text Embeddings via Semantic Isomorphism Enforcement (SIE) Loss Function,” TMLR, 2026
  • Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman, “LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration,” TMLR (J2C certified), 2025
  • Md. Ismail Hossain, Mohammed Rakib, M. M. Lutfe Elahi, Nabeel Mohammed, Shafin Rahman, “COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks,” IEEE Transactions on Artificial Intelligence, 2025
  • Md. Nasim Ahmed, Dipta Neogi, Muhammad Rafsan Kabir, Shafin Rahman, Sifat Momen, Nabeel Mohammed , “A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning,” Scientific Reports, 2025
  • Kazi Rafat, Sadia Islam, Abdullah Al Mahfug, Md. Ismail Hossain, Fuad Rahman, Sifat Momen, Shafin Rahman, Nabeel Mohammed, “Mitigating carbon footprint for knowledge distillation based deep learning model compression,” PLOS ONE, 2023
  • Imranul Ashrafi, Muntasir Mohammad, Arani Shawkat Mauree, Galib Md. Azraf Nijhum, Redwanul Karim, Nabeel Mohammed, Sifat Momen, “Banner: A Cost-Sensitive Contextualized Model for Bangla Named Entity Recognition,” IEEE Access, 2020
Conference Papers
  • Amrijit Biswas , Mustafa Kamal, Robin Krambroeckers, M M Lutfe Elahi, Sifat Momen, Nabeel Mohammed, Shafin Rahman, “One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data,” KDD, 2026
  • Jawad Ibn Ahad, Mritunjoy Chakraborty, Fuad Rahman, Sifat Momen, Shafin Rahman, Nabeel Mohammed, “Figures as Evidence: Multi-Image Scientific Generation,” ICDAR, 2026
  • Kazi Rafat, Afifa Imran, Md. Ismail Hossain, Md. Romzan Ali, Fuad Rahman, Sifat Momen, Shafin Rahman, Nabeel Mohammed, “Dynamic Block-Online Streaming ASR for Low-Resource Agglutinative Code-Switching Speech with Morphology-Aware Evaluation,” Interspeech, 2026
  • Awsaf Tausif Adib, Md. Shahria Sarker Shuvo, Md. Estehaar Ahmed Emon, Mustafa Kamal, Fuad Rahman, Shafin Rahman, Nabeel Mohammed, “CARNet: Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting,” ECML-PKDD, 2026
  • Nafew Azim ~Nafew_Azim1 , Fuad Rahman, Nabeel Mohammed, “Adaptive Weighted Proxy Tuning: Efficient Gray-Box Steering for Image Captioning,” ACL (Industry Track), 2026
  • Jawad Ibn Ahad, Maisha Rahman, Amrijit Biswas, Muhammad Rafsan Kabir, Robin Krambroeckers, Sifat Momen, Nabeel Mohammed, Shafin Rahman, “Beyond Real Weights: Hypercomplex Representations for Stable Quantization,” IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
  • Md. Ismail Hossain, Shahriyar Zaman Ridoy, Moshiur Farazi, Nabeel Mohammed, Shafin Rahman , “CAPSTONE: Composable Attribute‑Prompted Scene Translation for Zero‑Shot Vision–Language Reasoning,” EMNLP (Industry Track), 2025
  • Muhammad Rafsan Kabir, Jawad Ibn Ahad, Robin Krambroeckers, Silvia Ahmed, M M Lutfe Elahi, Nabeel Mohammed, Shafin Rahman , “Bidirectional Reasoning Supervision for Multilingual Financial Decision Making,” EMNLP (Industry Track), 2025
  • Nafew Azim, Abrar Ur Alam, Hasan Bin Omar, Abdullah Mohammad Muntasir Adnan Jami, Jawad Ibn Ahad, Muhammad Rafsan Kabir, Md. Ismail Hossain, Fuad Rahman, Mohammad Ruhul Amin, Shafin Rahman, Nabeel Mohammed , “AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models,” EMNLP (Industry Track), 2025
  • Md Motahar Mahtab, Faisal Ahamed Khan, Md Ekramul Islam, Md Shahad Mahmud Chowdhury, Labib Imam Chowdhury, Sadia Afrin, Hazrat Ali, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin, “BanNERD: A Benchmark Dataset and Context-Driven Approach for Bangla Named Entity Recognition,” NAACL (Findings), 2025
  • Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman, Mohammad Ruhul Amin, Sifat Momen, Nabeel Mohammed, “LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval,” International Joint Conference on Neural Networks (IJCNN), 2025
  • Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman, “Beyond Labels: Aligning Large Language Models with Human-like Reasoning,” ICPR, 2024
  • Amrijit Biswas, Md. Ismail Hossain, M M Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman, “3D Point Cloud Network Pruning: When Some Weights Do not Matter,” BMVC, 2024
  • Sadia Afrin, Md. Shahad Mahmud Chowdhury, Md. Ekramul Islam, Faisal Ahamed Khan, Labib Imam Chowdhury, Md. Motahar Mahtab, Nazifa Nuha Chowdhury, Massud Forkan, Neelima Kundu, Hakim Arif, Mohammad Mamun Or Rashid, Mohammad Ruhul Amin, Nabeel Mohammed, “BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla Lemmatizer,” EMNLP (Findings), 2023
  • Md Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain, Md Sourave Hossain, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin, “SentiGOLD: A large bangla gold standard multi-domain sentiment analysis dataset and its evaluation,” KDD (ADS Track), 2023
  • Md. Tahrim Tushar, Yan Yang, Md Zakir Hossain, Sheikh Motahar Naim, Nabeel Mohammed, Shafin Rahman, “Less is More: Facial Landmarks can Recognize a Spontaneous Smile,” BMVC, 2022

Research Projects & Grants

  1. “A teaching aid for Bangla Handwriting”, Funded by ICT Division, Ministry of ICT, Bangladesh (2016 – 2017)
  2. “MasterMoshai: An Artificially Intelligent Educational Tool to Automate the Evaluation of a Student’s Understanding on a Bangla Passage”, Funded by ICT Division, Ministry of ICT, Bangladesh (2019 – 2020)
  3. Apurba-NSU R&D Lab – A R&D Lab at NSU funded by Apurba Technologies.

Membership in Professional Organizations

  • Member of AI Connect ( A program of the Atlantic Council GeoTech Center and U.S. Department of State)
  • Juror of Bangladesh Block Chain Olympiad
  • Judge of “AI For Bangla”