Research Staff
Andrija Neskovic, M. Sc.
Reasearch Assistant

- andrija.neskovic@uni-luebeck.de
- Phone
- +49 451 3101 6339
- Office
- Building 64, Room 97 (2nd Floor)
- Address
- Universität zu Lübeck
Institut für technische Informatik
Ratzeburger Allee 160
23562 Lübeck
Germany
Research Interests
My research centers on pre-silicon hardware security, with particular emphasis on detecting and explaining power side-channel leakage at the register-transfer level (RTL) and netlist level prior to chip fabrication. Additionally, I investigate system-level modeling using SystemC and Transaction-Level Modeling (TLM) for AI accelerators, as well as hardware and deep neural network (DNN) co-design for embedded and RISC-V-based systems. I am a member of the Secure Computing group, collaborating with Dr. Saleh Mulhem.
Open Thesis Topics (BA/MA)
I’m happy to supervise bachelor and master theses in these areas:
- Pre-silicon power side-channel analysis
- Virtual prototypes (SystemC/TLM) of RISCV-Based System-On-Chip
- Hardware/DNN co-design and RISC-V extensions for edge AI
- Hardware/Software co-design for RISC-V cryptograhpic processors
Open-Source Projects
- SPARC-SCA (GitHub): Framework for root-cause analysis of power side-channel leakage in RISC-V processors, combining cell-level information flow tracking with signal-switching analysis. Evaluated on Ibex, Proteus, and Rocket running AES and Kyber (artifact of our ICCAD 2026 paper).
- SCA-WAL (GitHub): Extension of the Waveform Analysis Language (WAL) with Hamming-weight and Hamming-distance analysis across all signals, enabling power side-channel assessment directly from RTL and netlist simulation waveforms.
Curriculum Vitae
Since July 2021:
Research assistant at the Institute of Computer Engineering, University of Lübeck, Germany
April 2019 - March 2021:
M.Sc. Informational Technology/Computer Engineering, University of Rostock, Germany
October 2015 - March 2019:
B.Sc. Informational Technology/Computer Engineering, University of Rostock, Germany
Research
Teaching
Earlier semesters (2)
- SoSe 2022
- Systemarchitekturen für Multimedia
- SoSe 2021
- Systemarchitekturen für Multimedia
Completed projects
Publications
SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow
IEEE/ACM International Conference on Computer-Aided Design (ICCAD '26), 2,026
URL, RIS, BibTex
RAPNet: Efficient Near-Sensor Radar Data Pre-Processing via DFT-to-GEMM Mapping
ACM Trans. Embed. Comput. Syst. (Just Accepted), 2,026
near-sensor computing hardware/software co-design design-space exploration accelerator radar dnn
URL, DOI, RIS, BibTex
Multi-Partner Project: CeCaS Accelerator Design for Efficient Supercomputing in Automotive Systems
2026 Design, Automation & Test in Europe Conference (DATE), IEEE, Verona, Italy 2026, 2,026
URL, RIS, BibTex
Compatibility Ratio as a Guideline for Hardware/DNN Co-Design of Embedded Accelerators
ACM Transactions on Embedded Computing Systems, ACM, 2026, 2,026
URL, DOI, RIS, BibTex
Single engine architecture for hardware root of trust
Journal of Cryptographic Engineering, Springer, 2025, 2,025
URL, DOI, RIS, BibTex
SCA-WAL: An Open-Source Framework for Power Side Channel Assessment at RTL and Netlist Level
IEEE Embedded Systems Letters, 2025, 2,025
URL, RIS, BibTex
A Systematic Mapping Study on SystemC/TLM Modeling Capabilities in New Research Domains
ACM Transactions on Design Automation of Electronic Systems, ACM, 2025, 2,025
URL, DOI, RIS, BibTex
Lightweight Authenticated Integration and In-Field Secure Operation of System-in-Package
ACM Transactions on Design Automation of Electronic Systems, 2025, 2,025
URL, DOI, RIS, BibTex
Area-Optimized RISC-V Matrix Extension Implementation for Edge Devices
33rd Telecommunications Forum (TELFOR), IEEE, 2025, 2,025
URL, RIS, BibTex
Efficient AI-based Attack Detection Methods for Sensitive Edge Devices and Systems
Advancing Edge Artificial Intelligence, River Publishers, 2,024
RIS, BibTex
Secure Software/Hardware Hybrid In-Field Testing for System-on-Chip
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), IEEE, Tanger, Morocco 2024, 2,024
URL, RIS, BibTex
SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?
in ICCAD '23: Proceedings of the 42nd IEEE/ACM International Conference on Computer-Aided Design, IEEE/ACM, 2023, 2,023
URL, RIS, BibTex