Soumyashree Sahoo

Assistant Professor

School of Computing & Engineering

Quinnipiac University

I am an Assistant Professor in Computer Science and Engineering at Quinnipiac University. I received my Ph.D. in Computer Science and Engineering from the University of Connecticut (UConn) in August 2025 under the guidance of Dr. Bing Wang. My dissertation committee included Dr. Jinbo Bi, Dr. Dongjin Song, and Dr. Alexander Russell.

My research focuses on machine learning, artificial intelligence, and data-driven modeling of complex real-world systems. I work on developing advanced computational methods for structured, sequential, and multimodal data, with expertise in time-series modeling, multimodal learning, and explainable AI.

I have extensive experience designing machine learning and deep learning frameworks that integrate heterogeneous data sources, handle missing and irregular data, and support robust predictive analytics. My work involves developing and applying models such as recurrent neural networks, transformer-based architectures, and representation learning techniques for real-world data environments.

More recently, my research has been expanding toward incorporating large language models (LLMs) and agentic AI systems, with a focus on building intelligent, interpretable, and adaptive decision-support systems. I am particularly interested in combining predictive modeling with reasoning and explainability to enhance the usability and real-world impact of AI systems.

While much of my prior work has been applied in health-related contexts, my core methodologies are broadly applicable across domains such as smart systems, human behavior modeling, intelligent sensing environments, and scalable data-driven platforms.

My long-term research vision is to develop scalable, explainable, and adaptive AI systems that bridge the gap between advanced machine learning techniques and real-world deployment across diverse application areas.