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
ICT Division Biologically Inspired Learning rules for Artificial Neural Networks (ANN) 15,00,000 2017