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:

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
  • 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,” Transactions of Machine Learning Research (TMLR), 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
  • 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
  • Koushik Roy, Md Sazzad Hossain, Pritom Kumar Saha, Shadman Rohan, Imranul Ashrafi, Ifty Mohammad Rezwan, Fuad Rahman, BM Mainul Hossain, Ahmedul Kabir, Nabeel Mohammed, “A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR,” International Journal on Document Analysis and Recognition (IJDAR), 2023
  • 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
  • Md Sahadul Hasan Arian, Md Tahmid Ahmed Rakib, Samira Ali, Saif Ahmed, Taseef Hasan Farook, Nabeel Mohammed, James Dudley, “Pseudo labelling workflow, margin losses, hard triplet mining, and PENViT backbone for explainable age and biological gender estimation using dental panoramic radiographs,” SN Applied Sciences, 2023
  • Koushik Roy, Md. Hasan, Labiba Rupty, Md. Sourave Hossain, Shirshajit Sengupta, Shehzad Noor Taus, Nabeel Mohammed, “Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra,” Sensors, 2021
  • Labib Chowdhury, Hasib Zunair, Nabeel Mohammed, “Robust Deep Speaker Recognition: Learning Latent Representation with Joint Angular Margin Loss,” Applied Sciences, 2020
  • K.M. Faizullah Fuhad, Jannat Ferdousey Tuba, Md. Rabiul Ali Sarker, Sifat Momen, Nabeel Mohammed, Tanzilur Rahman, “Deep Learning Based Automatic Malaria Parasite Detection from Blood Smear and its Smartphone Based Application,” Diagnostics, 2020
  • 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
  • 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,” Findings of the Association for Computational Linguistics: NAACL 2025, 2025
  • 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,” British Machine Vision Conference (BMVC), 2024
  • 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,” International Conference on Pattern Recognition (ICPR), 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,” Findings of EMNLP, 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,” Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 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,” British Machine Vision Conference (BMVC), 2022
  • Md Shihab, Istiak Hossain, Nazia Tasnim, Hasib Zunair, Labiba Kanij Rupty, Nabeel Mohammed, “VISTA: Vision transformer enhanced by U-Net and image colorfulness frame filtration for automatic retail checkout,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (Workshop), 2022
  • Md Hasan, Koushik Roy, Labiba Kanij Rupty Rupty, Md. Sourave Hossain, Shirshajit Sen Gupta, Tous Noor, Nabeel Mohammed, “MHASAN: Multi-Head Angular Self Attention Network for Spoof Detection,” International Conference on Pattern Recognition (ICPR), 2022
  • Md Hossain, Mohammed Rakib, Sabbir Mollah, Fuad Rahman, Nabeel Mohammed, “LILA-BOTI: Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition,” International Conference on Pattern Recognition (ICPR), 2022
  • Md Sazzad Hossain, Pritom Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed, “Rethinking Task-Incremental Learning Baselines,” International Conference on Pattern Recognition (ICPR) , 2022
  • Md. Sourave Hossain, Labiba Rupty, Koushik Roy, Md Hasan, Shirshajit Sen Gupta, Nabeel Mohammed, “A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing,” Digital Image Computing: Techniques and Applications (DICTA), 2020
  • Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen, “Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction,” International Workshop on PRedictive Intelligence In MEdicine, 2020

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”