Students

Current Graduate Students

• Ayda Eghbalian - PhD (LinkedIn)
  Expected Graduation: Fall 2027

• Sadia Mubashshira - PhD (LinkedIn)
  Expected Graduation: Spring 2028

• Mushfiqur Azam - PhD (LinkedIn)
  Expected Graduation: Spring 2028

• OFM Riaz Rahman Aranya - PhD (LinkedIn) (Webpage)
  Expected Graduation: Spring 2028

Past Graduate Students

• Kebin Peng - PhD (LinkedIn) (Webpage)
  Graduated: Summer 2023
  Last Known Position: Assistant Professor in the Department of Computer Science at East Carolina University

• Omar Medjaouri - MS (LinkedIn)
  Graduated: Spring 2022
  Last Known Position: Research Engineer at Southwest Research Institute (SwRI)

Current Undergraduate Students

• Cassandra Gomez (LinkedIn)
  Expected Graduation: Fall 2025

Past Undergraduate Students

• Cristian Lopez (LinkedIn)
  Graduated: Fall 2024

• Joshua Silva (LinkedIn)
  Expected Graduation: Spring 2025

• Soren Watterson (LinkedIn)
  Expected Graduation: Spring 2025

• Jenelle Millison (LinkedIn)
  Graduated: Spring 2023
  Last Known Position: Data Scientist at Johns Hopkins University Applied Physics Lab

• Jeff Dong (LinkedIn)
  Graduated: Spring 2023
  Last Known Position: Software Developer at Paycom

• Ker Xiang Teh (LinkedIn)
  Graduated: Spring 2023
  Last Known Position: Application Security Engineer at HEB

• Hector Pineda (LinkedIn)
  Graduated: Spring 2023
  Last Known Position: Software Developer at HEB

• Ivy Vasquez Sandoval (LinkedIn)
  Graduated: Fall 2020
  Last Known Position: Robotics Software Engineer at Plus One Robotics

PhD Dissertation Committees

• "Leveraging Latent Fields for Accurately Attributing Model Behavior", Ethan Payne, PhD Dissertation, Committee Member, Spring 2024.

• "Containerized Computer Vision Applications on ARM-Powered Edge Devices", Osamah Alqaisi, PhD Dissertation, Committee Member, Spring 2024.

• "Multimodal Feedback Techniques to Increase Accessibility of Immersive Virtual Reality", Rasel Mahmud, PhD Dissertation, Committee Member, Fall 2023.

• "Leveraging Explainability to Increase Efficiency and Transparency in Computer Vision", David Patrick, PhD Dissertation, Committee Member, Fall 2023.

• "Analyzing the Geometric Structure of Deep Learning Decision Boundaries", Michael Geyer, PhD Dissertation, Committee Member, Fall 2023.

• "Enhancing Depth Estimation in Adverse Lighting Scenarios for Autonomous Driving", Kebin Peng, PhD Dissertation, Committee Chair, Summer 2023.

• "Towards Understanding the Impacts of Virtual Terrain on User Experience in VR", Samuel Ang, PhD Dissertation, Committee Member, Summer 2023.

• "Towards Automatic Cybersickness Detection, Early-Prediction, and Reductions for Virtual Reality Applications", Rifatul Islam, PhD Dissertation, Committee Member, Spring 2022.

• "Aquatic Virtual Reality: From Feasibility to Application", Raphael Costa, PhD Dissertation, Committee Member, Summer 2020.

MS/UG Thesis & Project Committees

• "Efficient Semantic Segmentation and Applications in Nuclear Fuels Fabrication", Chris Snyder, MS Project & Comprehensive Exam, Committee Member, Fall 2023.

• "Leveraging Quantum Computing in Convolutional Neural Networks", Guillermo "Bill" Gonzalez, MS Project & Comprehensive Exam, Committee Member, Fall 2023. 

• "GeoAI For Urban Resilience: Strategic Optimization of Power Grids and Electric Vehicle Fleet Charger Networks", Ana Nunez, MS Thesis, Committee Member, Fall 2023.

• "3D Hand Pose Estimation Informed by the Human Kinematic Chain", Jenelle Millison, Undergraduate Honors Thesis, Committee Chair, Spring 2023.

• "Optimizing Electric Vehicle Charging Stations and training robots in City Scale Digital Twin", Nithish Reddy Gundla, MS Project, Committee Member, Spring 2023.

• "3D Digital Twin Representation for Building Indoors", Susheela Sri Akunuru, MS Thesis, Committee Member, Fall 2022.

• "AI Federated Learning for Face Recognition at the Edge", Sadia Afrin, MS Thesis, Committee Member, Summer 2022.

• "Attention-Based Audio Driven 3-D Facial Animation", Neda Zand, MS Thesis, Committee Member, Summer 2022.

• "HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction", Omar Medjaouri, MS Project & Comprehensive Exam, Committee Chair, Spring 2022.

MS Comprehensive Exam Committees

• "Neural Network Architectures Strategies for their Efficient Design and Implementation", Eulises Franco, Master’s Comprehensive Exam, Committee Chair, Spring 2024.

• "Transformer models in natural language processing", Clay Roberts, Master’s Comprehensive Exam, Committee Member, Fall 2023.

• "Exploring the Application of Natural Language Processing Techniques in Developing Knowledge Bases", Sanjeeth Boddinagula, Master’s Comprehensive Exam, Committee Member, Summer 2023.

• "Utilizing Various Datasets with Machine Learning to Aid in Heart Failure Diagnosis", Zain Momin, Master’s Comprehensive Exam, Committee Member, Spring 2023.

• "Generative Pre-Trained Transformer", Zarina Khan, Master’s Comprehensive Exam, Committee Chair, Spring 2023.

• "Personalization of Cybersickness Prediction Models", Umama Tasnim, Master’s Comprehensive Exam, Committee Member, Spring 2023.

• "Chaos Theory and its Application to Image Encryption", Matthew Martinez, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "3D Full-Body Expressive Human Pose Estimation", Somraj Dangi, Master’s Comprehensive Exam, Committee Chair, Fall 2022.

• "A New Model of Age Estimation", Xi Tang, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "A Review of Generative Models", Brendan Winn, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "Evolving Two-Factor Authentication", Graciela Caballero, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "AI in Modern Websites", Satyajeet Avinash Rankhamb, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "Cloud Computing: Salesforce", Akshat Srivastava, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "DevOps Tools - Prometheus, Kafka, AWS", Versha Khare, Master’s Comprehensive Exam, Committee Member, Fall 2022.

• "Security in Intermittent Computing", Faisal Khurram, Master’s Comprehensive Exam, Committee Member, Summer 2022.

• "Secure Federated Learning at the Edge", Vasumathy Sundararaj, Master’s Comprehensive Exam, Committee Member, Spring 2022.

• "Docker and Containers", Yash Sokalla, Master’s Comprehensive Exam, Committee Member, Spring 2022.

• "Deep Learning for Detecting Inappropriate Content in Text", Maheshwari Neelanolla, Master’s Comprehensive Exam, Committee Chair, Fall 2021.

• "Single-View 3D Point Cloud Reconstruction", Jesna Jose, Master’s Comprehensive Exam, Committee Chair, Fall 2021.

• "Cryptocurrency Trading using multivariate social sentiment and volume data analysis", Richard Maduka, Master’s Comprehensive Exam, Committee Member, Fall 2021.

• "NeuroEvolution of Augmenting Topologies (NEAT)", Ivy Vasquez Sandoval, Undergraduate Independent Study Project, Fall 2020.

• "More on Augmented Reality (AR)", Pranali Mandaokar, Master’s Comprehensive Exam, Committee Member, Spring 2020.