Dissertation Defense Announcements

Zahra Salekshahrezaee
November 24, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Robust Anomaly Detection under Data Imbalance, Noise, and Label Scarcity"

William Fairman
November 20, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Robotic Monitoring System for Complex Aquatic Environments"

Radivoje Stankovic
November 5, 2025 - Ocean and Mechanical Engineering

Dissertation Title: “On the Drainage Vortices of Liquid in a Container with Two Outlets"

Md Ruhul Amin
November 5, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Interpretable Machine Learning Frameworks for Detecting and Characterizing Adaptive Processes in Genomic Data"

Abhishek Ratanpara
November 3, 2025 - Ocean and Mechanical Engineering

Dissertation Title: “Microfluidic Investigation of Green Carbon Capture, Storage, and Utilization Using Waste Concrete and Seawater"

Lars Skaug
November 3, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Advancing Road Safety Through Data Integration, Location Accuracy, and Risk-Based Route Optimization"

Sandipan Paul Arnab
October 24, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “From Specialized to Generalized Frameworks: Broadening Machine
Learning Approaches to Detect Natural Selection"

Yanbin Lin
October 13, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Efficient and Robust Inverse Reinforcement Learning for Complex and Dynamic Environments"

Mary Anne Walauskis
November 3, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Novel Unsupervised Frameworks for Automated Class Distribution Estimation and Binary Label Generation for Tabular Data"

Hadi Esfandi
August 28, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “A Computational Framework for Multi-Scale Analysis of Mouse Cerebral Blood Flow Regulation"

Sasha Ivana Fung
July 03, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Assessment, Modeling, and Advanced Applications of Marine Renewable Energy Systems"

Rishabh Lingam
July 03, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “A Study on Sentence-Level Argument Identification in Imbalanced Student Essay Corpora"

Uptal K. Dhar
July 02, 2025 - Ocean and Mechanical Engineering

Dissertation Title: “Laminectomy and Minimally Invasive Surgery for Human Lumbar Spine"

Omar Neil Gonzalez
July 01, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “User Behavior Anomaly Detection Approaches to Mitigate Insider Threats"

Mostapha Al Saidi
April 11, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Deep Learning for Computer Vision Applications in Medical Diagnostics and Wildlife Monitoring: Challenges in Classification, Class Imbalance, and Object Tracking”

Ali Salem Abdulmajeed Altaher
April 04, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Applications of Deep Learning and Signal Processing in Acoustics, Oceanography, and Biometrics”

Magdalyn E. Elkin
April 14, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Predictive and Generative Modeling for Biomedical Data Analytics”

Vithulan Suthakaran
March 21, 2025 - Civil, Environmental, and Geomatics Engineering

Dissertation Title: “Phosphorus Removal Using Novel Carbon Adsorbents Derived from Waste Algae: An Industrial Ecology Approach to Mitigate Algal Blooms”

Wenqiang Xu
March 12, 2025 - Ocean and Mechanical Engineering

Dissertation Title: “A Self-sustained Autonomous System for Long-term Arctic Monitoring”

Abdulelah Al Hanif
February 24, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Optimizing Intrusion Detection in IoT Network Environments through Diverse Detection Techniques”

Abdulkarim Faraj Alqahtani
February 3, 2025 - Electrical Engineering and Computer Science

Dissertation Title: “Automated Detection of Offensive Texts Based on Ensemble
Learning and Hybrid Deep Learning Techniques”