Senior ML Security Engineer · Researcher · MATVIS · DFKI · Cambridge

Amr
Gomaa

Human-centered AI researcher and ML engineer building safe, adaptive, and personalised systems — from LLM security & agentic AI to multimodal HCI and surgical robotics.

LLM Security Agentic AI Continual Learning Multimodal HCI Gesture Recognition Reinforcement Learning Computer Vision Surgical Robotics
Affiliated with
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About

Amr Gomaa
Amr Gomaa
Senior ML Security Engineer at MATVIS GmbH · Deputy Head & Doctoral Researcher at DFKI · Visiting Researcher at Cambridge University

I am a Senior Machine Learning Security Engineer at MATVIS GmbH in Tübingen, building the security foundation for safe generative AI deployment — including the AI Firewall and automated red-teaming for GenAI. I am concurrently a PhD Visiting Researcher at the Machine Intelligence Laboratory, Cambridge University, collaborating with Microsoft Cambridge on contextual LLM agents, their evaluation, and robustness, supervised by Prof. Dr. Per Ola Kristensson.

I am also Deputy Head and Doctoral Researcher at the German Research Center for Artificial Intelligence (DFKI), where I lead a team of researchers and have secured over 2 million Euros in research funding. My recent grants include €427,500 for Secure Language Models for Knowledge Management (SisWiss) and €100,000 for hybrid reinforcement and imitation learning (TeachTAM), both funded by the German Federal Ministry of Research (BMFTR, formerly BMBF).

My research covers NLP & LLM Security & Evaluation, Incremental & Continual Learning, Reinforcement & Imitation Learning, Multimodal Interaction & Interface Design, and Gesture Recognition & Computer Vision, applied to automotive, robotics, dialogue systems, and well-being domains, with partners including Carl Zeiss, Microsoft Research, and BMW.

LLM Security & Evaluation
Firewalls, red-teaming, agentic safety
Continual & Incremental Learning
Personalization, model adaptation
Multimodal HCI
Interface design, sensor fusion
Reinforcement Learning
Imitation, apprenticeship, robotics
Gesture & Computer Vision
Video understanding, contrastive learning
Adaptive Interfaces
Automotive, surgical robotics, well-being
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Selected Publications

2026
ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
Amr Gomaa, Ahmed Salem, Sahar Abdelnabi
EACL
2025
Firewalls to Secure Dynamic LLM Agentic Networks
Amr Gomaa*, Sahar Abdelnabi*, Eugene Bagdasarian, Per Ola Kristensson, Reza Shokri  (*equal contribution)
arXiv
2024
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
NeurIPS
2024
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger
IROS
2024
Looking for a Better Fit? An Incremental Learning Multimodal Object Referencing Framework Adapting to Individual Drivers
Amr Gomaa, Guillermo Reyes, Michael Feld, Antonio Krüger
IUI
2023
Toward Adaptive User-Centered Neuro-Symbolic Learning for Multimodal Interaction with Autonomous Systems
Amr Gomaa, Michael Feld
🏆 3rd Place Blue Sky — ICMI 2023
ICML WS · ICMI
2023
Unveiling the Role of Expert Guidance: Comparative Analysis of User-centered Imitation Learning vs. Traditional RL
Amr Gomaa, Bilal Mahdy
🏆 Best Paper — HITLAML Workshop 2023
HITLAML
2023
It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera
Amr Gomaa*, Guillermo Reyes*, Michael Feld
AutomotiveUI
2021
ML-PersRef: A Machine Learning-Based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle
Amr Gomaa, Guillermo Reyes, Michael Feld
ICMI
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Projects

Active
AI Firewall & GenAI Red-Teaming
Building the security foundation for safe generative AI deployment at MATVIS — including the AI Firewall (identifying & managing risks) and automated penetration testing for GenAI applications.
LLM SecurityGenAIMLOps
MATVIS GmbH
Active
SisWiss
Secure Knowledge Management with LLMs — developing robust, privacy-aware agentic architectures for secure enterprise knowledge systems using retrieval-augmented generation and LLM evaluation.
LLMsRAGSecurity
Funded by BMFTR (€427,500)
Finished
TeachTAM
Machine Teaching with Hybrid Neuro-Symbolic Reinforcement Learning via the Apprenticeship Model — a real-time practical teaching system using Imitation Learning, Behavioral Cloning, and Inverse RL.
RLImitation LearningRobotics
Funded by BMFTR (€100,000)
Finished
LLM Contextual Agents (Cambridge)
Feasible LLM solutions for the HCI design process — enabling designers to build more controllable interfaces using natural language. In collaboration with Microsoft Cambridge.
LLM AgentsHCINLP
Cambridge · Microsoft Research
Finished
FedWell
Federated learning for well-being and rehabilitation applications — privacy-preserving personalized model adaptation across distributed user data without centralized collection.
Federated LearningWell-beingPrivacy
Finished
CAMELOT
Adaptive multimodal fusion for personalized object referencing in a moving vehicle. Incremental learning pipeline adapting to individual driver behavior — enhancing features in BMW & Mercedes-Benz vehicles.
MultimodalAutomotiveIncremental Learning
BMW · Mercedes-Benz
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Experience & CV

Positions
Sep 2025 – ongoing
Senior ML Security Engineer
MATVIS GmbH, Tübingen
AI Firewall design, scalable ML architectures, MLOps, GenAI red-teaming & compliance.
Aug 2024 – April 2026
PhD Visiting Researcher
Cambridge University · Microsoft Research Cambridge
LLM agents for HCI design; contextual LLM evaluation & robustness. Supervised by Prof. Dr. Per Ola Kristensson.
Apr 2020 – ongoing (consultant)
Deputy Head & Doctoral Researcher
DFKI — Adaptive Interfaces & Dialogue Group, AI Security Researcher
Led team of 4–6; secured ~€2M in grants; supervised MSc/BSc theses; published at CHI, NeurIPS, IROS, IUI, ICMI.
Apr 2022 – ongoing (consultant)
Project Lead — TeachTAM & SisWiss
DFKI (BMFTR-funded)
Apr 2019 – Apr 2020
Junior Researcher
DFKI — Intelligent User Interfaces
Nov 2017 – Apr 2019
Research Assistant
HCI Group, Saarland University
Wearable & on-skin electronics; published at UIST.
2013 – 2017
Senior RF Engineer / Project Manager
Vodafone Egypt
Education
Sep 2020 – Submitted
Ph.D. — Computer Science
Saarland University · DFKI
Human-Centered AI, Incremental Learning, Model Adaptation. Advisor: Prof. Dr. Antonio Krüger.
Oct 2017 – Apr 2020
M.Sc. — Computer Science
Saarland University
GPA: 1.4 / Thesis GPA: 1.3
2008 – 2013
B.Sc. — Telecommunications & Electronics Engineering
Ain Shams University, Egypt
Service
Associate Chair / Program Committee
AutomotiveUI 2024 & 2023 (AC) · HITLAML 2023 (PC)
Reviewer (Outstanding Review Award)
CHI 2023/24 · IMWUT 2023 · IEEE VR 2023 · AutomotiveUI 2021–24 · NordiCHI 2022 · ICMI 2021
Grants & Awards
2025 €427,500 research grant — Secure Language Models for Knowledge Management (SisWiss). German Federal Ministry of Research (BMFTR). Total consortium: €1,800,000.
2023 Best Paper Award — HITLAML Workshop at ICML
2023 3rd Place — Blue Sky Papers at ICMI
2022 €100,000 research grant — Hybrid RL & Imitation Learning (TeachTAM). German Federal Ministry of Research (BMFTR).
2019 DAAD STIBET III Scholarship — Saarland University scholarship for international students.
Get in touch

Open to collaborations & conversations

Whether it's research collaboration, industry partnership, student supervision, or a conversation about LLM security, HCI, or adaptive AI — I'd love to hear from you.

20+
Publications at NeurIPS, IROS, CHI, ICMI & more
€2M+
Research funding secured (BMFTR)
10+
Years research and software engineering experience
400+
Citations on Google Scholar