Drexel University
Aug 2019 – PresentAssociate Professor of Computer Science · Sabbatical leave, 2025–2026 academic year
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CS 613 Machine LearningWinter 2019 Fall 2020 Fall 2021 Summer 2022 Spring 2023 Spring 2024 Spring 2025
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CS 383 Machine LearningSpring 2020 Spring 2021 Winter 2023
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CS 614 Applications of Machine LearningSpring 2023 Spring 2024 Summer 2024 Winter 2025 Spring 2025
Villanova University
Aug 2014 – May 2019Assistant Professor of Computer Science
Data Structures
Game Development
Computer Vision
Information Visualization
Platform Based Computing
Senior Projects
3D Modeling
The College of New Jersey
Aug 2012 – May 2014Assistant Professor of CS and Interactive Multimedia
Intro to Interactive Computing
Games I & II
Artificial Intelligence
Student Advising
Current PhD Students
Jack Anderson
Computer Science (part-time)
2026–present
Isamu Isozaki
Large Language Models
2024–present
Arif Azizpour
Adversarial Machine Learning
2023–present
PhD Graduated
Manil Shrestha 2026
“Trustworthy Generative AI Through Security, Safety, Verification, and Grounding”
Now: Hard Eight Holdings LLC
Jocelyn Rego 2025
“Learning from the Brain: Leveraging Biology for Efficient and Robust Machine Intelligence”
Now: Scientist III, HRL Laboratories
Nicki Barari 2025
“Memory that Lasts: Exploring the Roots of Catastrophic Forgetting in Continual Learning”
Now: Postdoctoral Researcher, Emory University
Steven Nesbit 2025
“All On Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation”
Now: Researcher, Los Alamos National Laboratory
Darryl Hannan 2024
“Leveraging Multiple Modalities and Expert Knowledge for Limited Data Scenarios”
Now: Postdoctoral Researcher, Pacific Northwest National Laboratory
Andrew O’Brien 2024
“Dynamic Causality: Sparse Symbolic Regression as a Tool to Learn Causal Dynamic Structural Equations with Applications to Counterfactuals”
Now: Technical Advisor, Ropes & Gray LLP
Bahareh Shakibajahromi 2024
“3D Shape Analysis Using Deep Graph Neural Networks”
(co-advised with David Breen) — Now: Algorithm R&D Engineer, ZF Group
Maryam Daniali 2023
“Representation Learning on Sequential and Temporal Data Manifolds”
(co-advised with Dario Salvucci) — Now: Data Scientist, Children’s Hospital of Philadelphia