CURRICULUM VITAE
- Philip Feldman, MA, MS, PhD
- feld1@umbc.edu
- phil@philfeldman.com
- @philfeld@fediscience.org
- @pgfeldman.bsky.social
- LinkedIn
Professional
- AI/ML Project Proposal Reviewer: ATHENE National Research Center for Cybersecurity (2024 - present)
- Adjunct Research Assistant Professor of Information Systems: University of Maryland Baltimore County (2020 - present)
- AI/ML Futurist: ASRC Federal (2015 - present)
- Technology Architect: Novetta, Inc (2009 - 2015)
- Senior Member of Technical Staff: Proteus Technologies (2005 - 2009)
- Chief Technical Officer: Powergrid Fitnes (2002 - 2009)
- Independent Consultant (2002 - 2009)
- Senior Scientist/ Director of Software Development: Immersion Medical (1996 - 2002)
Education
- PhD Human-Centered Computing: University of Maryland Baltimore County, 2020
- MS Human-Centered Computing: University of Maryland Baltimore County, (Cum Laude) 2014
- MS Interdisciplinary Studies: Johns Hopkins University (Summa Cum Laude), 1995
- BA Interdisciplinary Studies: University of Maryland (Magna Cum Laude) 1983
Speaking
- Montgomery College IGNITE Hub March 2025: No AI Slop! Writing with Intention using Large Language Models
- Johns Hopkins Applied Physics Lab Colloquium February 2025: Killer Apps - Low-Speed, Large Scale AI Conflict,
- University of Maryland Baltimore County Informations Systems Event Talk April 22 2024: Deep Biases (In Nearly Everything)
- NIST AI COI March 2024: Societal-Scale, Low-Speed AI Conflict
- MORS 2023 Emerging Techniques Forum: Societal-Scale, Low-Speed AI Conflict
- GSAW 2023 panel: Intelligent Systems / Machine Learning for Space Ground Systems
- MORS 2023 Symposium: War Elephants: Rethinking Combat AI and Human Oversight
- GSAW 2022 panel: Intelligent Systems / Machine Learning for Space Ground Systems
- MORS 2022 Emerging Techniques Forum: Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
- GSAW 2021 panel: Intelligent Systems / Machine Learning for Space Ground Systems
- GSAW 2020 panel: Intelligent Systems / Machine Learning for Space Ground Systems, with Jon Neff, Dan Balderston, John Donahue, and Jacob Everist
- Collective Intelligence 2018 panel: Crowdsourcing and Crowd-driven Innovation, with Christopher Tucci, Gianluigi Viscusi, Rosy Mondardini, Thomas Malone, and Joel Chan
Books
- Stampede Theory: Human Nature, Technology, and Runaway Social Realities (Elsevier, 2023)
Media Appearances
Publications
- Enhanced self-directed training (ESDT): dynamic data balancing in regression models (Proceedings Volume 13459, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications)
- You've Changed: Detecting Modification of Black-Box Large Language Models (ArXiv 2025)
- Featured Article: Can Generative AI be Egalitarian? (October 2024 IEEE Consumer Technology Society (CTSoc) News on Consumer Technology)
- The Voice: Lessons on Trustworthy Conversational Agents from 'Dune' (CUI '24: Proceedings of the 6th ACM Conference on Conversational User Interfaces )
- War Elephants: Rethinking Combat AI and Human Oversight (ArXiv 2024)
- Killer Apps: Low-Speed, Large-Scale AI Weapons (HAI-GEN Workshop at IUI 2024)
- Trapping LLM Hallucinations Using Tagged Context Prompts (draft) (ArXiv 2023)
- The Keyword Explorer Suite: A Toolkit for Understanding Online Populations (ACM IUI 2023)
- Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech (ACM Computing Surveys)
- Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models (December 2021 Bulletin of the IEEE Computer Society Technical Committee on Data Engineering)
- Who is the Ringleader? Modelling Influence in Discourse using Doc2Vec (poster) (ACSOS 2021)
- Analyzing COVID-19 Tweets with Transformer-based Language Models (SocialSens 2021 prepub)
- Guest Editorial Diversification in Urban Transportation Systems and Beyond: Integrating People and Goods for the Future of Mobility (2021 IEEE Transactions on Intelligent Transportation Systems)
- Training robust anomaly detection using ML-Enhanced simulations Proceedings of the 2020 Ground Vehicle Systems Engineering and Technology Symposium)
- Stampede Theory: Mapping and Treating Dangerous Misinformation at Scale (2020 doctoral dissertation)
- Evolving Neural Network Ensembles for Reliable Time Series Prediction (Ground Systems Architecture Workshop March 2020) (slides)
- The Resilience of "Planes, Trains, and Automobiles" (IEEE Technology and Society Magazine June 2019) (article)
- Disrupting the Coming Robot Stampedes: Designing Resilient Information Ecologies (Best "Blue Sky" paper) (iConference 2019) (paper)
- Diversity in Massively Multi-agent Systems: Concepts, Implementations, and Normal Accidents (2018 International Workshop on Massively Multiagent Systems) (paper)
- This One Simple Trick Disrupts Digital Communities (Best Poster) (SASO 2018) (paper)
- Simon's Anthill: Mapping and Navigating Belief Spaces (Collective Intelligence 2018) (paper)
- With Maps and Mobs: Searching for Trustworthiness using Belief Spaces (CHIIR 2018) (paper)
- Modeling the Law of Group Polarization (Collective Intelligence 2017) (poster)
- Modeling Polarizing Network Behaviors with Flocking Simulations (HCIC 2017)
- Tangibly Enhancing Haptics (TEI 2015)(paper) (poster)(code)(code)
- Towards Supporting Situational Awareness using Tactile Feedback (3DUI 2014) (paper) (poster) (code)
Submitted Papers and Posters
- RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots (SIGCHI 2024 - Rejected) (paper)
- Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models (AAMAS 2022 - Rejected) (paper)
- Navigating Language Models with Synthetic Agents (AAMAS 2021 - Rejected (paper)
- Belief places and spaces: Mapping cognitive environments (JASSS - Rejected)(paper)
- Integrating Artificial Intelligence into Weapon Systems ( 2019 IEEE International Symposium on Technologies for Homeland Security - Rejected)(paper)
- Dungeons for Science: Mapping Belief Places and Spaces (CHIPLAY 2019 - Rejected)(paper)
- Echo Chambers: Modeling, Identifying, and Disrupting them (CHIIR 2017 - Rejected)
- Modeling the Law of Group Polarization (CSCW 2018 - Rejected)
- Modeling the Law of Group Polarization (Pysical Review E - Rejected)
- Trustworthy, Distrustworthy and Newsworthy, Fact Checking by Inferred Reputation (CSCW 2015 - Rejected) (paper)
- The development of a novel haptic prototype using force input/kinesthetic feedback (UIST 2012 - Rejected) (paper)
Related Websites
Prior Papers
United States Patents
- 7,931,470: Interface device and method for interfacing instruments to medical procedure simulation systems
- 7,864,164/8,638,308: Haptic Interface for Palpation Simulation
- 7,819,799: System and Method for Controlling Force applied to and Manipulation of Medical Instruments
- 7,727,117: Method and Apparatus for operatively controlling and Virtual Reality Scenario with a Physically Demanding Interfaces
- 7,331,226: Force measurement system for an isometric exercise device
- 7,308,831: Interface device and method for interfacing instruments to vascular access simulation systems
- 7,307,619, 7,202,851: Haptic interface for palpation simulation
- 7,121,982: Computer interactive isometric exercise system.
- 7,033,176: Motion platform system and method of rotating a motion platform about plural axes
- 6,817,973: Apparatus for controlling force for manipulation of medical instruments
- 6,470,302: Interface device and method for interfacing instruments to vascular access simulation systems
- 5,584,700: Virtual-reality based flycycle exercise machine
