Computer Science at Stevens Institute of Technology

40 faculty and 0 courses in Computer Science at Stevens Institute of Technology.

Faculty

• Michael Greenberg, Assistant Professor h-index 50
  Es on directly applying formalism to practical problems. Much of his work takes place in the emerging field of semantics engineering, where he scales PL techniques up to work on real systems. His primary focus is on improving the POSIX shel
  Notable: “Initial B-Cell Responses to Transmitted Human Immunodeficiency Virus Type 1: Virion-Binding Immunoglobulin M (IgM) and IgG Antibodies Followed by Plasma Anti-gp41 Antibodies with Ineffective Control of Initial Viremia” (2008) · 624 citations
• Kai Li, Assistant Professor h-index 32
  Notable: “An efficient 3D topology optimization code written in Matlab” (2014) · 628 citations
• Jina Huh-Yoo, Associate Professor h-index 29
  Human-Computer Interaction) M.S. (2004) Carnegie Mellon University (Human-Computer Interaction) B.A. (2003) Korea National University of Arts (Multimedia Design) Research human-computer interaction, health informatics, social computing
  Notable: “Systematic Review: Trust-Building Factors and Implications for Conversational Agent Design” (2020) · 341 citations
• Philippos Mordohai, Professor h-index 28
  Notable: “Detailed Real-Time Urban 3D Reconstruction from Video” (2007) · 726 citations
• Susanne Wetzel, Professor h-index 22
  In cryptography and algorithmic number theory. In the field of cryptography, my research is focused on wireless security, secret sharing, privacy, secure multi-party computation, security economics, and biometrics, and my contributions
  Notable: “Cryptographic key generation from voice” (2002) · 334 citations
• Yue Ning, Associate Professor h-index 22
  Notable: “Asynchronous Online Federated Learning for Edge Devices with Non-IID Data” (2020) · 425 citations
• Tian Han, Assistant Professor h-index 21
  Notable: “Decoding lip language using triboelectric sensors with deep learning” (2022) · 243 citations
• Eric Koskinen, Charles Berendsen Chair Associate Professor h-index 19
  Notable: “Transactional boosting” (2008) · 311 citations
• Enrique Dunn, Associate Professor h-index 18
  Notable: “Learned Contextual Feature Reweighting for Image Geo-Localization” (2017) · 233 citations
• Ping Wang, Assistant Professor h-index 17
  In the broad area of data mining and machine learning, with a particular focus on healthcare analytics, including clinical question answering, information extraction, graph mining, and survival analysis. She has published papers in lead
  Notable: “A survey on deep learning and its applications” (2021) · 1,514 citations
• Samantha Kleinberg, Professor & Farber Chair Professor h-index 17
  Notable: “Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes” (2013) · 194 citations
• Antonio Nicolosi, Associate Professor h-index 15
  Es on cryptography and its applications to resolving issues of security and privacy in distributed systems. Highlights include fast authentication mechanisms for data forwarding in a future Internet architecture and a novel approach to non
  Notable: “Verifying and enforcing network paths with icing” (2011) · 144 citations
• Dominic Duggan, Associate Professor h-index 14
  In tools, including semantics, for ensuring that software is "safe" and "secure." I have worked on module systems for programming-in-the-large, software adaptation for safe dynamic library updates, various extensions
  Notable: “Mixin modules” (1996) · 89 citations
• Nikhil Muralidhar, Assistant Professor h-index 13
  At ScAI lab entails developing machine learning models that also incorporate scientific knowledge (along with data) governing a process of interest. This area of research is termed Knowledge-Guided Machine Learning (KGML). Our group at ScAI
  Notable: “Incorporating Prior Domain Knowledge into Deep Neural Networks” (2018) · 157 citations
• Eduardo Bonelli, Teaching Professor h-index 10
  Lambda Calculus, Type Theory, Proof Theory, Rewriting Theory. General Information Eduardo Bonelli is a Teaching Professor whose research focus is on foundations of programming languages. Institutional Service AMP Advisor Chair NTT Faculty/
  Notable: “Correspondence assertions for process synchronization in concurrent communications” (2005) · 60 citations
• Jonggi Hong, Assistant Professor h-index 10
  Notable: “SplitBoard” (2015) · 90 citations
• Jie Shen, Assistant Professor h-index 8
  Lie in both the theoretical aspects and applications of machine learning. I am particularly interested in the following problems and their interplay: label-efficient learning, e.g. active learning; noise-tolerant learning from unreliable da
  Notable: “An improved ant colony algorithm in continuous optimization” (2003) · 30 citations
• Tegan Brennan, Assistant Professor h-index 8
  Notable: “Parameterized model counting for string and numeric constraints” (2018) · 33 citations
• Hongyuan Liu, Assistant Professor h-index 7
  Notable: “Why GPUs are Slow at Executing NFAs and How to Make them Faster” (2020) · 28 citations
• Tiffany Li, Assistant Professor h-index 6
  Notable: “Attitudes Surrounding an Imperfect AI Autograder” (2021) · 57 citations
• Shaoyi Huang, Assistant Professor h-index 6
  Notable: “Isolation, characterization and the effect of indigenous heavy metal-resistant plant growth-promoting bacteria on sorghum grown in acid mine drainage polluted soils” (2019) · 33 citations
• William Eiers, Assistant Professor h-index 5
  Notable: “Parameterized model counting for string and numeric constraints” (2018) · 33 citations
• Erisa Terolli, Teaching Assistant Professor h-index 4
  Notable: “Analyzing the Traits and Anomalies of Political Discussions on Reddit” (2019) · 32 citations
• Zumrut Akcam-Kibis, Teaching Assistant Professor h-index 1
  Notable: “A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival” (2022) · 22 citations
• Alex LaGrassa, Teaching Assistant Professor
• Alexander Hoover, Assistant Professor
• Dave Naumann, Professor & Department Chair
• Dmitry Paramonov, Teaching Assistant Professor
• Gabriela Ciocarlie, Stephen Bloom Associate Professor
  Notable: “I See You: Using RF Signals to See Inside Manufacturing Processes” (2026)
• Hui Wang, Professor & Associate Chair (PhD Studies and Research)
• Jacek Ossowski, Teaching Associate Professor
• Patrick Hill, Lecturer
• Reza Peyrovian, Senior Lecturer
  1. Processor Technology 2. Nature-Inspired Algorithms 3. Engaging Teaching Methods General Information Background Information: Reza Peyrovian retired from AT&T Labs after 24 years. He designed and implemented both large computer hardwa
• Ryan Tsang, Teaching Assistant Professor
• Samuel Kim, Teaching Professor & Associate Chair (Undergraduate Studies)
• Sandeep Bhatt, Teaching Professor
• Shudong Hao, Teaching Assistant Professor & Associate Chair (Graduate Studies)
• William Hendrix, Teaching Assistant Professor
• Xueqing Liu, Assistant Professor
• Zhaozhuo Xu, Assistant Professor

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.