Curriculum Vitae
Edward Kim, Ph.D. — Associate Professor of Computer Science, Drexel University
Contact Information
Position: Associate Professor
Department: Computer Science, Drexel University
Phone: 215.895.0532
Email: edward.kim826@drexel.edu
Education
Lehigh University, Bethlehem, PA
Ph.D. Computer Science, 2013
Dissertation: Toward Large Scale Semantic Image Understanding and Retrieval
University of Pennsylvania, Philadelphia, PA
M.S.E. Computer Graphics and Game Technology, 2008
University of Pennsylvania, Philadelphia, PA
B.S.E. Computer Science, 2003
Minor: Fine Arts, Psychology
Professional & Academic Experience
Drexel University, Philadelphia, PA
Associate Professor of Computer Science
August 2019 – Present
Research in Computer Vision, Neuro-Inspired Machine Learning, Sparse Coding, and Neural Networks.
Villanova University, Villanova, PA
Assistant Professor of Computer Science
August 2014 – May 2019
Research in Computer Vision, Machine Learning, Sparse Coding, Computer Graphics, Artificial Intelligence, and Simulation.
Naval Research Laboratory, Washington DC
Visiting Faculty
June 2018 – August 2018
Visiting Faculty in the Navy Center for Applied Research in AI sponsored by the Office of Naval Research. Research in AI, Robotics, and Sparse Coding.
University of Delaware, DE
Visiting Scholar of Computer Science
January 2018 – June 2018
Research in Multimodal Deep Learning for Accessibility.
Los Alamos National Laboratory, Los Alamos, NM
Visiting Faculty Scholar
June 2017 – August 2017
Visiting Faculty Program sponsored by the Department of Energy Office of Science. Research in Biologically Inspired Neural Networks.
The College of New Jersey, Ewing, NJ
Tenure-Track Assistant Professor of Computer Science and Interactive Multimedia
August 2012 – May 2014
Joint appointment in Computer Science and Interactive Multimedia. Research in Computer Vision, Computer Graphics, AI, and Game Technology.
Lehigh University, Bethlehem, PA
IDEA Lab Research Assistant
August 2008 – May 2013
Independent research, publication of conference and journal papers related to semantic image/video analysis and medical image processing.
National Institutes of Health, Bethesda, MD
Summer Research Internship, National Library of Medicine
May 2010 – August 2010
Content based image retrieval in large medical image databases.
University of Pennsylvania, Philadelphia, PA
Senior IT Support Specialist, The Wharton School
August 2006 – August 2008
Research project programmer (PHP/Javascript/C++/Matlab/MySQL). Server administration of Solaris and Redhat Linux machines.
Moberg Research, Inc., Ambler, PA
Software Engineer
September 2003 – 2006
Software programmer, SBIR grant writer, Lead web developer. Awarded SBIR IOM Education Phase II Grant (2 years – $700,000) as Lead programmer.
Awards & Honors
- STAR Scholars Outstanding Mentors of the Year, September 2024
- NSF CAREER Award, Robust Intelligence, June 2019
- ONR Faculty Research Summer Award, June 2018
- Cosyne 2018 Travel Award, January 2018
- DOE Visiting Faculty Program Award, June 2017
- Lilly Teaching Conference Travel Fellowship, Villanova, April 2015
- Upsilon Pi Epsilon Member Induction, TCNJ Chapter, May 2013
- Sigma Xi Full Member Induction, Lehigh Chapter, April 2013
- ICCSA Interdisciplinary Community Catalyzing Scholarly Achievement, TCNJ School of Science, 2013–2014
- MUSE Mentored Undergraduate Summer Experience, TCNJ, Summer 2013
- SOSA Support of Scholarly Activities, TCNJ, 2013–2015
- ArtsComm Professional Development Award, TCNJ School of Arts and Communication, 2013
- ICCSA Interdisciplinary Community Catalyzing Scholarly Achievement, TCNJ School of Science, 2012–2013
- CVPR 2012 Outstanding Reviewer Award, Rhode Island, June 2012
- P.C. Rossin Doctoral Fellow, Lehigh University, 2011
- Dean's Doctoral Scholarship, Lehigh University, 2008
- 1st Place Poster Award, Computational Engineering and Science / HPC Workshop, 2009
Selected Grants & Funding
-
"CAREER: Sparse Associative Deep Learning using Neural Mimicry in Multimodal Machine Learning"
National Science Foundation NSF CAREER Award. PI. $494,464. 6/1/2019. -
"Spartacus-X: Sparse Coding and Extraction of Ultrasound Knowledge for Explainable POCUS AI"
Defense Advanced Research Projects Agency (DARPA). Co-PI. $1,000,000. 5/1/2021. -
"COVID-19: Digital Platform for Patient Recruitment, Testing, Prediction"
Bill & Melinda Gates Foundation. Key Personnel. $496,783. 6/26/2020. -
"Collaborative Research: Using Sparse/Efficient Coding and Predictive Processing to Model Optical Recordings from Mouse V1 Simple Cells"
Co-PI. $141,240 (+$60,620 additional). 1/1/2022. Pacific Northwest National Laboratory. -
"Machine Learning for Traumatic Brain Injury"
Moberg Research. PI. $105,994. 6/17/2021. -
"wHealth – A Window to your Future Health"
Robert Wood Johnson Foundation & Health 2.0. Games To Generate Data Challenge Phase II. Co-PI. $100,000. 10/1/2013. -
"Defending the Real: Protecting Against Emerging Generative AI Cybersecurity Threats"
Drexel Area of Excellence. Co-PI. $50,000. 8/1/2023. -
"Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence and Clinical Protocols"
MSH-UHN AMO Innovation Fund. Co-PI. $46,962. 4/17/2020. -
"New Frameworks for Ethical Research Amidst Emerging Digital Technologies, Algorithms, and Privacy Norms"
National Science Foundation. Co-PI. $45,450. 7/26/2021. -
"Multimodal Representation Learning for Traumatic Brain Injury"
Moberg Research. PI. $43,605. 4/6/2021. -
"Hierarchical Sparse Coding for Robustness against Adversarial Attack"
Intel Corporation. PI. $33,566. 9/1/2018. -
"Integrating AI-Powered Virtual Patient Simulations"
AMA. Investigator. $30,000. 8/1/2025. (submitted) -
"Web-based Image Annotation and Retrieval"
NIH/NLM, Sub-award from Lehigh University. PI. $30,000. 10/1/2012. -
"Virtual Reality Simulation for Teaching and Evaluation of Medication Safety Administration"
PHENSA. Co-PI. $22,937. 9/1/2018. -
"Neuro-inspired Scalable Oversight for Large Language Models"
NAIRR Pilot, NSF. PI. $15,000 In-Kind. 4/22/2024. -
"Digital Pathology Annotation Data for Improved Deep Neural Network Classification"
Villanova University Summer Grants Program. PI. $12,488. 2/1/2016. -
"Decoupling Ultrasonic Transmission of Heterogeneous, Composite Battery Electrode Layers Informed by Sparse Coding"
Longsview Fellowship, College of Engineering, Drexel University. Co-PI. $12,000. 1/1/2024.
Service & Professional Activities
NAIRR — National Artificial Intelligence Research Resource Conference Organizer, 2024
NIST AI Safety Institute — Participating Member, U.S. Artificial Intelligence Safety Institute, 2024–2025
Drexel AI Committee — Standing Committee on Artificial Intelligence, Co-Chair, 2023–2025
WACV Area Chair — 2023, 2024
NSF Review Panels — 2017–2021, 2024, 2025
NSF SBIR Review Panel — 2024, 2025
DOE Independent Assessment Review Panel — 2024, 2025
AAAI Program Committee — 2016, 2020–2025
NeurIPS Program Referee — 2022, 2023
ICLR Program Referee — 2022, 2023
CVPR Program Referee — 2011–2022
ICCV Program Referee — 2011, 2015, 2017, 2019
BMVC Program Referee — 2015–2022
ISVC Co-Chair — 2020; Workshops Organizer 2022–2024
IEEE BigData Workshop Organizer — 2025
Drexel Provost Faculty Fellow — 2020–2023
Certifications
- RHCT – Red Hat Certified Technician, 2005
- RHCE – Red Hat Certified Engineer, 2005
PhD Students Advised
Current PhD Students
- Isamu Isozaki — Large Language Models, PhD candidate, Drexel, 2024–present
- Arif Azizpour — Adversarial Machine Learning, PhD candidate, Drexel, 2023–present
- Manil Shrestha — Continual Learning, PhD candidate, Drexel, 2021–present
Graduated PhD Students
- Jocelyn Rego — Learning from the Brain: Leveraging Biology for Efficient and Robust Machine Intelligence, Drexel, 2025. Now: Scientist III, HRL Laboratories
- Nicki Barari — Memory that Lasts: Exploring the Roots of Catastrophic Forgetting in Continual Learning, Drexel, 2025
- Steven Nesbit — All On Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation, Drexel, 2025. Now: Researcher, Los Alamos National Laboratory
- Darryl Hannan — Leveraging Multiple Modalities and Expert Knowledge for Limited Data Scenarios, Drexel, 2024. Now: Postdoctoral Researcher, Pacific Northwest National Laboratory
- Andrew O'Brien — Dynamic Causality: Sparse Symbolic Regression as a Tool to Learn Causal Dynamic Structural Equations with Applications to Counterfactuals, Drexel, 2024. Now: Technical Advisor, Ropes & Gray LLP
- Bahareh Shakibajahromi — 3D Shape Analysis Using Deep Graph Neural Networks, Drexel, 2024 (Co-Advisor with David Breen). Now: Algorithm R&D Engineer, ZF Group
- Maryam Daniali — Representation Learning on Sequential and Temporal Data Manifolds, Drexel, 2023 (Co-Advisor with Dario Salvucci). Now: Data Scientist, Children's Hospital of Philadelphia
Selected Press & Media
- Faculty Highlights: Recent Awards and Grants — Drexel News, 2024
- Drexel Researchers Selected for Federal AI Research Pilot Program — Drexel News, 2024
- OSTP-NSF-PCAST Event on Opportunities at the AI Research Frontier — White House, 2024
- AI Caucus Leaders Introduce Bipartisan Bill to Expand Access to AI Research — U.S. Congress, 2024
- POCUS AI — DARPA, 2021
- AI Need for Sleep — Popular Mechanics, 2020
- Why Artificial Brains Need Sleep — Discover Magazine, 2020
- Why Artificial Brains Need Sleep — Inside Science, 2020
- Mitigate Bias in AI — Drexel CCI, 2020
- CSE Alum Earns NSF CAREER Award for AI Research — Lehigh Engineering, 2019