Computer Science at Yeshiva University

40 faculty and 30 courses in Computer Science at Yeshiva University.

Faculty

• Honggang Wang, Department Chair, Computer Science and Engineering h-index 55
  Notable: “Blockchain-Based Internet of Vehicles: Distributed Network Architecture and Performance Analysis” (2018) · 374 citations
• David Li, Program Director, Data Analytics and Visualization h-index 43
  Notable: “A Multitask Theory of State Enterprise Reform” (2000) · 369 citations
• Ming Ma, Assistant Professor, AI / Computer Science h-index 26
  Notable: “SenCar: An Energy-Efficient Data Gathering Mechanism for Large-Scale Multihop Sensor Networks” (2007) · 288 citations
• Mehdi Hasan, Faculty, AI h-index 24
  Notable: “TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study” (2022) · 164 citations
• Marian Gidea, Associate Dean of STEM Research, Mathematical Sciences h-index 20
  Notable: “Topological data analysis of financial time series: Landscapes of crashes” (2017) · 249 citations
• Sai Kadiyala, Postdoctoral Research Fellow, AI / Data Analytics / Computer Science h-index 7
  Notable: “An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks” (2020) · 41 citations
• Sergey Fogelson, Faculty, Data Analytics / Computer Science h-index 5
  Notable: “The artist emerges: Visual art learning alters neural structure and function” (2014) · 117 citations
• Joshua Waxman, Assistant Professor of Computer Science h-index 2
  Notable: “The persistence of pay inequality: The gender pay gap in an anonymous online labor market” (2020) · 70 citations
• Adam Faulkner, Faculty, AI
• Akiva Sacknovitz, Associate Professor of Computer Science
• Alan Broder, Clinical Professor of Computer Science, Department Chair
• Amarildo Gjondrekaj, Industry Professor, Data Analytics / Computer Science
• Andy Catlin, Faculty, Data Analytics and Visualization
• Ari Shamash, Adjunct Assistant Professor of Computer Science
• Avi Rosenfeld, Adjunct Professor of Computer Science
• Avraham Leff, Professor of Computer Science
• Ben Wymore, Assistant Professor of Computer Science
• Brandon Chiazza, Faculty, AI / Data Analytics / Computer Science
• Cristina Jeong, Faculty, Data Analytics / Computer Science
• David Sweet, Faculty, AI / Computer Science
• Djallel Bouneffouf, Professor of Computer Science
• Gary Sztajnman, Faculty, Data Analytics / Computer Science
• George Perrett, Visiting Assistant Professor, Data Analytics / Computer Science
• Iddo Drori, Associate Professor, AI / Computer Science
• James Topor, Faculty, AI / Data Analytics / Computer Science
• Jason Bryer, Faculty, Data Analytics and Visualization / Computer Science
• Javier Guillen, Faculty, Data Analytics / Computer Science
• Jeff Nieman, Faculty, Data Analytics / Computer Science
• Jessica Prue Rifkind, Faculty, Data Analytics / Computer Science
• Joy Payton, Faculty, Data Analytics / Computer Science
• Judah Diament, Department Chair, Professor of Computer Science
• Kun Bao, Faculty, Data Analytics and Visualization / Computer Science
• Lawrence Fulton, Faculty, Data Analytics / Computer Science
• Lawrence Teitelman, Clinical Assistant Professor of Computer Science
• Liat Cohen, Assistant Professor of Computer Science
• Michael Schulte, Instructor, AI / Data Analytics
• Ramesh Natarajan, Adjunct Research Professor of Computer Science
• Richard James, Adjunct Professor of Computer Science
• Samuel Strum, Faculty, Data Analytics / Computer Science
• Xiaopeng Tao, Faculty, Computer Science

Courses

• Programming for Non-CS Majors COM 1001
• Data Management and Visualization COM 1015
• Introduction to Computer Science COM 1300
• Mathematics for Computer Science COM 1310
• Data Structures COM 1320
• Theory of Computation COM 1621
• Computer Organization COM 2113
• Networking and Communications COM 2512
• Algorithms COM 2545
• Design and Analysis of Algorithms COM 2546
• Database Implementation COM 3563
• Data Visualization COM 3571
• Modern Data Management COM 3580
• Data Cleaning and Transformation COM 3590
• Operating Systems COM 3610
• Programming Languages COM 3640
• Compilers and Tools COM 3645
• Artificial Intelligence COM 3760
• Web Programming and Development COM 3780
• Distributed Systems COM 3800
• Parallel Algorithms and Programming COM 3820
• Mathematical Foundations of Machine Learning COM 3910
• Machine Learning COM 3920
• Applied Machine Learning COM 3921
• Natural Language Processing COM 3930
• Advanced Machine Learning COM 4010
• Capstone Project COM 4020
• Cybersecurity COM 4580
• Internship COM 4741
• Independent Study COM 4901

Roster/catalog compiled from the college’s public directory. Faculty counts are directory headcounts; the named list may be a subset. h-index shown only for ORCID-backed or high-confidence OpenAlex matches. Data as of 2026-07-02.