Team Of Experts

Dr. Sifat Momen

Dr. Sifat Momen, Associate Professor at North South University, specializes in multi-agent systems, machine learning, and data mining. With a PhD from the University of Sheffield, his impactful research spans medical diagnostics, agricultural systems, and transportation networks. Supported by prestigious grants and collaborations, Dr. Momen’s innovative work applies cutting-edge AI to global challenges. His expertise in scalable systems and AI-driven solutions ensures impactful outcomes for transformative projects, making him a vital resource for business and societal advancements.

Dr. Nabeel Mohammed

Dr. Nabeel Mohammed, Associate Professor at North South University’s Department of Electrical and Computer Engineering, is a leader in computer vision, image classification, and AI. With a PhD from Monash University and extensive experience, he has achieved breakthroughs in medical diagnostics, facial recognition, and object detection. As a founding member of the Machine Intelligence Lab and manager of the Apurba-NSU R&D Lab, he has secured major funding for impactful AI projects. With numerous high-impact publications and a proven track record, Dr. Mohammed’s expertise ensures transformative advancements for computer vision initiatives aligned with strategic goals.

Dr. Shafin Rahman

Dr. Shafin Rahman, Assistant Professor at North South University, is a globally recognized expert in computer vision, zero-shot learning, and AI. A PhD graduate from the Australian National University, he has over 65 publications and numerous accolades, including the J.G. Crawford Prize. His pioneering research in scalable AI solutions and real-time image recognition has garnered global recognition, with significant applications in industry and academia. Dr. Rahman’s leadership and innovative approach promise groundbreaking solutions for advanced AI technologies that meet market demands and investor expectations.

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Labib Imam Chowdhury

Labib Imam Chowdhury is a Machine Learning Engineer and Researcher with over six years of experience advancing multilingual NLP, computer vision, and generative AI. He has built and scaled AI systems used by millions— from spam detection pipelines processing over 3 million posts weekly to GenAI-powered moderation tools that cut false positives and boost user trust. His work, published in KDD, ACL, EMNLP, and BIOSIG, spans representation learning, long-tailed classification, and deep metric learning. Labib has led cross-functional teams, delivered AI projects worth up to $2.8M, and helped organizations expand their reach through cutting-edge AI solutions