World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
94
Citations
32759
World Ranking
487
National Ranking
21

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Ahmad-Reza Sadeghi is affiliated with the Technical University of Darmstadt in Germany. Their academic contributions are primarily within the field of Computer Science, with a focus on several specialized areas.

The main fields of study covered by their research include:

  • Computer Science

The subfields in which they have published extensively include:

  • Artificial Intelligence
  • Information Systems
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Hardware and Architecture

Their research topics span a range of themes related to security and computing, such as:

  • Security and Verification in Computing
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Cloud Data Security Solutions

Frequent publication venues associated with their work include:

  • arXiv (Cornell University)
  • IEEE Security & Privacy
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • IEEE Transactions on Dependable and Secure Computing
  • TUbilio (Technical University of Darmstadt)

Among the scientist's frequent co-authors are:

  • Richard Mitev
  • Patrick Jauernig
  • Emmanuel Stapf
  • Rahul Kande
  • Alexandra Dmitrienko

Recent notable papers include:

  • "Trusted Execution Environments: Properties, Applications, and Challenges" (2020, IEEE Security & Privacy)
  • "TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities" (2022, arXiv (Cornell University))
  • "To ChatGPT, or not to ChatGPT: That is the question!" (2023, arXiv (Cornell University))
  • "ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning" (2021, arXiv (Cornell University))
  • "CURE: A Security Architecture with CUstomizable and Resilient Enclaves" (2020, TUbilio (Technical University of Darmstadt))

Best Publications

  • Security and privacy challenges in industrial internet of things

    Ahmad-Reza Sadeghi;Christian Wachsmann;Michael Waidner

  • Return-oriented programming without returns

    Stephen Checkoway;Lucas Davi;Alexandra Dmitrienko;Ahmad-Reza Sadeghi

  • IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT

    Markus Miettinen;Samuel Marchal;Ibbad Hafeez;Tommaso Frassetto

  • Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization

    K. Z. Snow;F. Monrose;L. Davi;A. Dmitrienko

  • Unsafe exposure analysis of mobile in-app advertisements

    Michael C. Grace;Wu Zhou;Xuxian Jiang;Ahmad-Reza Sadeghi

  • Privilege escalation attacks on android

    Lucas Davi;Alexandra Dmitrienko;Ahmad-Reza Sadeghi;Marcel Winandy

  • Property-based attestation for computing platforms: caring about properties, not mechanisms

    Ahmad-Reza Sadeghi;Christian Stüble

  • Towards Taming Privilege-Escalation Attacks on Android

    Sven Bugiel;Lucas Davi;Alexandra Dmitrienko;Thomas Fischer

  • Software grand exposure: SGX cache attacks are practical

    Ferdinand Brasser;Urs Müller;Alexandra Dmitrienko;Kari Kostiainen

  • TASTY: tool for automating secure two-party computations

    Wilko Henecka;Stefan K ögl;Ahmad-Reza Sadeghi;Thomas Schneider

  • Counterfeit Object-oriented Programming: On the Difficulty of Preventing Code Reuse Attacks in C++ Applications

    Felix Schuster;Thomas Tendyck;Christopher Liebchen;Lucas Davi

  • Efficient privacy-preserving face recognition

    Ahmad-Reza Sadeghi;Thomas Schneider;Immo Wehrenberg

  • DÏoT: A Federated Self-learning Anomaly Detection System for IoT

    Thien Duc Nguyen;Samuel Marchal;Markus Miettinen;Hossein Fereidooni

  • Stitching the gadgets: on the ineffectiveness of coarse-grained control-flow integrity protection

    Lucas Davi;Ahmad-Reza Sadeghi;Daniel Lehmann;Fabian Monrose

  • ROPdefender: a detection tool to defend against return-oriented programming attacks

    Lucas Davi;Ahmad-Reza Sadeghi;Marcel Winandy

  • TrustLite: a security architecture for tiny embedded devices

    Patrick Koeberl;Steffen Schulz;Ahmad-Reza Sadeghi;Vijay Varadharajan

  • The Cybersecurity Landscape in Industrial Control Systems

    Stephen McLaughlin;Charalambos Konstantinou;Xueyang Wang;Lucas Davi

  • XManDroid: A New Android Evolution to Mitigate Privilege Escalation Attacks

    Sven Bugiel;Lucas Davi;Alexandra Dmitrienko;Thomas Fischer

  • Efficient Helper Data Key Extractor on FPGAs

    Christoph Bösch;Jorge Guajardo;Ahmad-Reza Sadeghi;Jamshid Shokrollahi

  • Flexible and fine-grained mandatory access control on Android for diverse security and privacy policies

    Sven Bugiel;Stephan Heuser;Ahmad-Reza Sadeghi

  • Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization (best student paper award)

    Kevin Z. Snow;Lucas Davi;Alexandra Dmitrienko;Christopher Liebchen

Frequent Co-Authors

Thomas Schneider
Thomas Schneider Technical University of Darmstadt
Lucas Davi
Lucas Davi University of Duisburg-Essen
Nadarajah Asokan
Nadarajah Asokan University of Waterloo
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Shujun Li
Shujun Li University of Kent
Matthias Schunter
Matthias Schunter Intel (United States)
Birgit Pfitzmann
Birgit Pfitzmann IBM (United States)
Gene Tsudik
Gene Tsudik University of California, Irvine
Yier Jin
Yier Jin University of Florida

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree opens doors to exciting, flexible online programs in closely related subjects. If you want to expand your skills, you may wonder: can you get a physics degree online? The answer is yes—many accredited institutions now offer affordable programs, making it easier to combine your interests in technology and science.

Another popular pathway is specializing in data analysis. Top universities feature online data science degree options, which blend statistics, programming, and business logic. These can lead to fast-growing roles in tech, healthcare, and finance.

For those interested in hardware, electrical engineering degree online admissions are becoming more accessible. These programs often share foundational courses with computer science, expanding your potential career options in electronics and embedded systems.

If you’re seeking a quicker entry point or want to boost your resume, consider earning easy certifications that pay well. Certifications in areas like cloud computing, cybersecurity, and data analytics can significantly enhance your job prospects and earning potential in the tech industry.

Best Scientists Citing Ahmad-Reza Sadeghi

Trending Scientists

Recently Published Articles