Dr. Sumaiya Tabassum Nimi [STI]

Assistant Professor

PhD in Computer Science, University of Missouri-Kansas City, 2024
B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2017 (CGPA: 3.81/4, Rank: 17/131)
HSC in Science, Viqarunnisa Noon College, 2011 (GPA: 5/5)
SSC in Science, Viqarunnisa Noon School, 2009 (GPA: 5/5)

Office: SAC 1010B
Office hours:
Saturday: 9:30-11 am, 1:30-2:30 pm
Thursday: 9:30-11 am, 1:30-2:30 pm
Sunday: 2:30-4 pm
Tuesday: 2:30-4 pm
Phone: +88 02 55668200 Ext – 6383

Biography

Dr. Sumaiya Tabassum Nimi is a computer science researcher and educator with deep expertise in machine learning, deep learning for resource-constrained environments, and few-shot/generalization tasks. She earned her PhD in Computer Science from the University of Missouri–Kansas City, where her research led to several high-impact publications on neural network optimization, out-of-distribution (OOD) detection, and edge-cloud collaborative AI.

With over seven years of university teaching experience—including current work as an Assistant Professor at North South University—she combines theoretical rigor with real-world application. Her interests now extend toward quantum machine learning and the intersections of computation and physics, reflecting a growing passion for interdisciplinary exploration.

Dr. Nimi is also the founder of the QuICK (Quantum mechanics guided Intelligent Computation for Knowledge-based systems) Research Group and an advocate for research-driven learning, having taught advanced topics like statistical learning methods and big data. She brings a unique blend of academic leadership, applied ML expertise, and curiosity-driven innovation to every endeavor.

Research Group: https://sumtamnimi.wixsite.com/questlab
LinkedIn Research Group: https://www.linkedin.com/groups/14619021/

Research Areas

Research Interests

Quantum Machine Learning
Molecular Machine Learning
Edge Computing
Computer Vision
Recommender Systems

Teaching

Research Projects & Grants

Organization Title of consultancy/ research project Amount Received, if any (BDT) Year
UMKC Women’s Council Towards Intelligent deep learning model synthesis for dynamic domain-constrained deployment scenario 250,000 2023
School of Graduate Studies, UMKC Towards making Edge Devices Intelligent through Deployable Model Synthesis  800,000 2022
UMKC Women’s Council Towards developing deployable multi-tasking deep learning model generation for device-edge collaborative inference  300,000 2022
UMKC Women’s Council Towards deep learning model synthesis for Activity recognition using Smartwatches 150,000 2021