Staff

Saleh Mulhem, Dr.-Ing.

Photo of Saleh  Mulhem

Research Group Leader


Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 123 (2nd Floor)

Email:saleh.mulhem(at)uni-luebeck.de
Phone:+49 451 3101 6317
Fax:+49 451 3101 6304

Ongoing PhD Students

  1. Christian Ewert, Fault-Resilient Methods for Computing System Design
  2. Ahmed Mahmoudi, Reliable Design of Modern System-on-Chip.
  3. Andrija Neskovic,  Side-channel Analysis of Computing System.
  4. Mouadh Ayache, Design for Testability and Hardware Trust.
  5. Celine Thermann, on Trustworthy Attributes of DNN Accelerator.
  6. Henrik Strunck, Hardware Root of Trust Design.
  7. Daniel Najork, Quantum Security.

Open Bachelor and Master Thesis Offers

If you are looking for a Master's thesis, Bachelor's thesis, or research internship, the following topics are offered for interested student; .

  1. IC Design for Low-Power Computing System.
  2. IC Power Estimation at NETLIST level.
  3. AI Chip Design for Embedded System Applications.
  4. Reliability Evaluation of Embedded Roboticss.
  5. Reliability and Security Evaluation of In-Memory Computing.
  6. Trustworthy Artificial Intelligence (AI) Acceleration Design.
  7. Explainable Artificial Intelligence (AI) Method.
  8. Efficient Post-quantum Engine implementation like Dilithium, Falcon etc
  9. Dependable Neural Engine Design.
  10. Studying Security of In-memory-computing Concept.
  11. Detecting Hardware Trojan Methods.
  12. Secure Processor Design and implementation.
  13. Designing Hardware Root of Trust. 
  14. Reliability Test and Evaluation of Integrated Circuit. 
  15. Studying Ultra Lightweight Ciphers.
  16. New Class of Side-Channel Attacks Resilient S-boxes.

We still have topics regarding: Dependable Computing, Trustworthy Artificial intelligence Acceleration,  Design for Testability, Design for Trust, and Hardware security,  feel free to contact me

Supervised Master and Bachelor Theses

Felix Muuss Practical Machine Learning Approach for Hardware Trojan Detection Bachelor Thesis 2021
Student Title Type Year
Eike Schultz Hardware Implementation of Efficient Systolic Accelerator for NTT Master Thesis 2024
Laurin Wagner Benchmarking Customized MLP for Intrusion Detection System Bachelor Thesis 2024
Amrit Sharma Poudel Analysis of Fault Injection Impacts on Cryptographic Primitives Bachelor Thesis 2023
Daniel Najork Hardware Root-of-Trust Design for Embedded Systems Applications Master Thesis 2023
Christoph Hübner Reliability Test of a Hardware Module at Electronic System Level Bachelor Thesis 2023
Celine Thermann Trustworthy AI Hardware Accelerator Design Master Thesis 2022
Henrik Strunck Enabling Hardware Root of Trust for RISC-V Trusted Execution Environment Master Thesis 2022
Tim Muller Safe AI Hardware Accelerator for Autonomous Driving Master Thesis 2022
Konstantin Krebs FPGA-based AI Acceleration for Autonomous Driving Bachelor Thesis 2022
Andra-Karina Poetschki NTT Hardware Acceleration for Homomorphic Encryption in Medical Applications Bachelor Thesis 2022
Robin Sehm Side-channel Analysis of Cryptographic Functions Bachelor Thesis 2022

Publications

2024

 

  • Foudhaili, W., Nechi, A., Thermann, C., Al Johmani, M., Buchty, R., Berekovic, M., & Mulhem, S. (2024, March). Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach. In International Symposium on Applied Reconfigurable Computing (pp. 48-62). Cham: Springer Nature Switzerland.
  • Mulhem, S., Muuss, F., Ewert, C., Buchty, R., and Berekovic, M., ML-Based Trojan Classification: Repercussions of Toxic Boundary Nets, in IEEE Embedded Systems Letters, doi: 10.1109/LES.2023.3338543.[Paper]

 

2023

 

  • Neškovi?, A., Mulhem, S., Treff, A., Buchty, R., Eisenbarth, T., & Berekovic, M. (2023, October). SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?. In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) (pp. 1-8). IEEE.
  • Hirsch, D., Hoffmann, F., Neskovic, A., Thermann, C., Buchty, R., Berekovic, M., & Mulhem, S. Efficient AI-based Attack Detection Methods for Sensitive Edge Devices and Systems. In Advancing Edge Artificial Intelligence (pp. 177-196). River Publishers.
  • Grothe, P., Mulhem, S., Berekovic, M. (2023). An Almost Fully RRAM-Based LUT Design for Reconfigurable Circuits. In: Palumbo, F., Keramidas, G., Voros, N., Diniz, P.C. (eds) Applied Reconfigurable Computing. Architectures, Tools, and Applications. ARC 2023. Lecture Notes in Computer Science, vol 14251. Springer, Cham. https://doi.org/10.1007/978-3-031-42921-7_22.
  • Nechi,A., Groth, L., Mulhem, S., Merchant, F., Buchty, R.,  Berekovic, M.,: FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?. ACM Transactions on Reconfigurable Technology and Systems, ACM, New York 2023. [Paper]
  • Nechi, A.; Mahmoudi, A.; Herold, C.; Widmer, D.; Kürner, T.; Berekovic, M.; Mulhem, S: Practical Trustworthiness Model for DNN in Dedicated 6G Application. 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, Montreal, QC, Canada 2023  [Paper]

2022

  • Bauer B.; Ayache M.; Mulhem S.; Nitzan M.; Athavale J.; Buchty R.; Berekovic M.: On the Dependability Lifecycle of Electrical/Electronic Product Development: The Dual-Cone V-Model. in Computer, vol. 55, no. 9, 99-106, 2022

 

 

 Previous publications and patents (Click here) or visit My Google Scholar.