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About Me

I am a computer vision/machine learning research scientist with the Vision Systems Laboratory of the Center for Vision Technologies at SRI International. I received my PhD from the computer science department at Rutgers University in Piscataway, New Jersey. While at Rutgers, I worked in the Center for Computational Biomedicine Imaging and Modeling (CBIM) under the supervision of Prof. Dimitris Metaxas. My main areas of research include computer vision, pattern recognition/machine learning/data mining, and artificial intelligence. Specifically, my PhD research focused on developing semantically-grounded, context-driven, and trustworthy/interpretable mathematical models and algorithms for complex data analysis. My main application focus was on scene understanding: analyzing real world images of scenes using computational methods. I received a bachelor's degree in computer science from Lehigh University's P.C. Rossin College of Engineering in Bethlehem, Pennsylvania and minored in cognitive science. While at Lehigh, I worked with a number of faculty including Prof. Henry Baird, Prof. Jeff Heflin, and Prof. Brian Chen. I also participated in REUs under the supervision of Prof. Mubarak Shah (University of Central Florida), Prof. Niels da Vitoria Lobo (University of Central Florida), and Prof. Saâd Biaz (Auburn University). In the summers of 2018 and 2019, I interned with the Sensors Directorate of the Air Force Research Laboratory (AFRL/RY) through the Autonomy Technology Research Center. I was supervised by Dr. Donald Venable (RYWN) in 2018 and Mr. Christopher Menart (RYAT) in 2019.


Work History


Publications, Presentations, and Patents


Book Chapters

Journal Articles

Conference Articles

Peer-Reviewed Workshop Long Papers

Peer-Reviewed Workshop Short Papers, Posters, and Extended Abstracts


Other Talks and Presentations

Technical Reports/Under Review

In Preparation

Academic Honors and Awards

Professional Membership

Service and Outreach

Technical Skills

Relevant Coursework

Graduate Courses (at Rutgers)

  • Special Topics: Animating and Simulating Humans
  • Beyond Worst Case Analysis in Machine Learning
  • Special Topics: Biomedical Image Analysis
  • Computer Vision
  • Convex Optimization
  • Graph Theory
  • Linear Algebra and Applications
  • Linear Programming
  • Machine Learning
  • Mathematical Topics in Artificial Intelligence: Optimization, Bandits, and Online Learning
  • Numerical Analysis
  • Principles of Artificial Intelligence
  • Responsible and Ethical Research
  • Robot Learning

Graduate Courses (at Lehigh)

  • Pattern Recognition (*Also Served as TA)

Undergraduate Courses (at Lehigh)

  • AI Coursework:
  • Artificial Intelligence
  • Bioinformatics: Issues and Algorithms
  • Data Mining
  • Intelligent Decision Support Systems
  • Introduction to Mobile Robotics
  • Semantic Web Topics
  • General CS Coursework:
  • Computer Architecture
  • Data Structures
  • Database Systems and Applications
  • Design and Analysis of Algorithms
  • Ethics for Computer Science
  • Introduction to Computer Engineering
  • Operating System Design
  • Programming Languages
  • Software Engineering
  • Systems Software
  • Technical Presentation
  • Theory of Computation
  • Cognitive Science:
  • Introduction to Cognitive Science
  • Introduction to Linguistics
  • Mind and Brain (Survey of Cognitive Neuroscience)
  • Philosophy and Technology
  • Mathematics, Engineering, and Other Sciences:
  • Calculus I-III
  • Discrete Mathematics
  • Engineering Computations
  • Deterministic Optimization Models in Operations Research
  • Introduction to Engineering
  • Linear Algebra and Differential Equations
  • Physics I (Mechanics) and II (Electricity and Magnetism)
  • Probability and Statistics
  • Statistical Computing and Applications

Short Courses (at UCF)

  • Introduction to Computer Vision