KMA Solaiman

Ph.D. in Computer Science, Purdue University
Lecturer, University of Maryland, Baltimore County

Contact Information

• Address: 201-C ITE Building, 1000 Hilltop Circle, Baltimore, MD 21250
• Phone: +1 (765) 775-8230
• Email: ksolaima@purdue.edu
• Website: ksolaiman.github.io

Professional Summary

Applied ML and Database Researcher with over 6 years of experience in research and teaching. Expertise spans machine learning, multimodal information retrieval, open-world learning, and data management systems. Passionate about mentoring, with 13+ students successfully guided. Published work in IEEE, AAAI, SIGMOD, and VLDB. Collaborated with institutions such as MIT, WLPD, METU, USC, and DARPA.

Education

• Ph.D. in Computer Science, Purdue University, West Lafayette, IN, Summer 2023
  • Advisor: Bharat K. Bhargava
  • Mentor: Michael Stonebraker (MIT)
  • Thesis: Multimodal Data Management in Open-world Environment
• M.Sc. in Computer Science, Purdue University, Fall 2022
  • Focus: Machine Learning and Databases
• B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), July 2014

  • GPA: 3.79

    Class Rank: 16/153

  • Thesis: Minimal Parameter Clustering of Complex Shaped and Different Sized Dataset

Professional Experience

University of Maryland, Baltimore County

Lecturer (Fall 2023 – Present)

• Teaching undergraduate courses and mentoring students.
• Curriculum development and committee involvement.

Purdue University

Research Assistant (2019–2022)

• Collaborated on projects with NGC, DARPA, and MIT, focusing on multimodal data systems.

Teaching Assistant (2016–2019, 2022–2023)

• Designed and graded assignments for 90+ students per semester.
• Mentored final course projects in OOP and networking.

Guest Lecturer (Fall 2019)

• Delivered lectures on adversarial ML, explainable AI, and information retrieval.

Teaching Experience

• UMBC: CMSC 471 (Artificial Intelligence), CMSC 478 (Machine Learning)
• Purdue: CS 180 (OOP), CS 251 (Data Structures), CS 448 (Relational Databases), CS 543 (Simulation & Modeling), CS 536 (Networks)
• Ahsanullah University of Science and Technology: Programming, Networking, Databases, Simulation & Modeling

Research Experience

Purdue University

REALM Project

• Built scalable cross-modal querying systems for missing person search.
• Developed weakly supervised methods for multimodal information retrieval.

SAIL-ON Project

• Proposed graph state representations for RL agents in Monopoly.

Other Projects

• Tackled adversarial attacks on neural networks.
• Built text classifiers for political bias in news articles.

Publications

Peer-Reviewed Journals and Conferences

• IEEE Computer, 2022: Applying Machine Learning and Data Fusion to the Missing Person Problem
• AAAI Spring Symposium, 2022: Measurement of Novelty Difficulty in Monopoly
• SIGMOD, 2020: *

https://myacm.acm.org/

Invited Lectures

Other Scholarly Activities Session Chair . Reviewer Reviewer .

Professional Societies Member of the IEEE Control Systems Society (CSS) Member of the IEEE Computational Intelligence Society (CIS) Member of the IEEE Computer Society (CS) Member of the Institute of Electrical and Electronics Engineers (IEEE)

Member of the Association for Computing Machinery (ACM) - done

Service on Department Committees PlusComputers Curriculum Development, 2024 - 2025 Undergraduate Committee, 2024 - 2025 Lecturer/ POP hiring committee,

Teaching Honors ….

Research Honors ….

Improvement Activities ALIT

Recent Courses Taught CS 374 AL1 ECE 120 - Introduction to Computing