Publications

You can also find my publications on Google Scholar.
(* denotes equal contribution)

2025 -

BiasLab: Toward Explainable Political Bias Detection with Dual-Axis Annotations and Rationale Indicators [URL] [PDF]
KMA Solaiman
arXiv 2025
Preprint Human-aligned Systems

BoardVision: Real-Time Motherboard Defect Detection using YOLOv7 and Faster R-CNN [Poster]
Brandon Hill, KMA Solaiman
UMBC CSEE Research Day 2025
Poster Novelty Aware System

From Anomaly to Novelty: Active Detection and Adaptive Response in Smart Grids [Poster]
Leann Alhashishi, KMA Solaiman
UMBC CSEE Research Day 2025
Poster Novelty Aware System

2021 - 2024

Domain Complexity Estimation for Distributed AI Systems in Open-World Perception Domain [URL] [PDF]
Shafkat Islam*, K.M.A. Solaiman*, Ruy De Oliveira, Bharat Bhargava
Submitted to IEEE TAI 2024
Previously submitted in Journal of AI'23 Preprint Novelties in Learning Algorithms

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision [PDF] [Previous Version]
K.M.A. Solaiman* and Bharat Bhargava
Submitted to ICDE 2024
Previously submitted in SIGMOD'23 Preprint Multimodal Information Retrieval

Applying Machine Learning and Data Fusion to the “Missing Person” Problem [URL] [PDF] [Video]
K.M.A. Solaiman, Tao Sun, Alina Nesen, Bharat Bhargava, Michael Stonebraker
IEEE Computer 2022
Journal Multimodal Information Retrieval

Open-Learning Framework for Multi-modal Information Retrieval with Weakly Supervised Joint Embedding [PDF]
KMA Solaiman and Bharat Bhargava
AAAI Spring Symposium 2022
Symposium Multimodal Information Retrieval

Measurement of Novelty Difficulty in Monopoly [PDF]
KMA Solaiman and Bharat Bhargava
AAAI Spring Symposium 2022
Symposium Novelties in Learning Algorithms

Dataset Augmentation with Generated Novelties [URL] [PDF]
Alina Nesen, K.M.A. Solaiman, and Bharat Bhargava
TransAI 2021
Conference Novelties in Learning Algorithms

2019 - 2020

Surveillance Video Querying With A Human-in-the-Loop [PDF] [Video]
Michael Stonebraker, Bharat Bhargava, Michael Cafarella, Zachary Collins, Jenna McClellan, Aaron Sipser, Tao Sun, Alina Nesen, KMA Solaiman, Ganapathy Mani, Kevin Kochpatcharin, Pelin Angin, and James MacDonald
HILDA@SIGMOD 2020
Workshop Multimodal Information Retrieval

SKOD: A Framework for Situational Knowledge on Demand [URL] [PDF] [Video] [Presentation]
Servio Palacios*, KMA Solaiman*, Pelin Angin, Alina Nesen, Bharat Bhargava, Zachary Collins, Aaron Sipser, Michael Stonebraker, and James Macdonald
POLY@VLDB 2019
Workshop Multimodal Information Retrieval

Multi-modal Information Retrieval via Joint Embedding [URL] [Poster]
KMA Solaiman and Bharat Bhargava
NGC TechFest 2019
Poster Multimodal Information Retrieval

UNDERGRADUATE RESEARCH

Minimal Parameter Clustering of Complex Shape Dataset with High Dimensional Dataset Compatibility (MPCACS) [URL] [Poster]
Ahmed Al Muzaddid, KMA Solaiman
BUET Thesis Poster Presentation 2014
Poster Unsupervised Learning

AVRA Bangladesh collection, analysis & visualization of road accident data in Bangladesh [URL] [PDF]
K. M. A. Solaiman, Md. Mustafizur Rahman, Nashid Shahriar
ICIEV 2013
Conference Human-Centered Decision Systems

DISSERTATIONS

Multimodal Data Management in Open-world Environment [URL] [PDF]
KMA Solaiman
Purdue University 2023
PhD Thesis Multimodal Information Retrieval

Minimal Parameter Clustering of Complex Shaped & Different Sized Dataset with Noise & Outlier Handling (MPCACS) [PDF]
K. M. A. Solaiman, Ahmed Al Muzaddid
Bangladesh University of Engineering & Technology (BUET) 2014
BSc Thesis Unsupervised Learning