M.Sc. Tara Gheshlaghi

Short Bio

Tara Gheshlaghi received her B.Sc. degree in Computer Engineering in 2020 and her M.Sc. degree in Artificial Intelligence in 2023 from Shahid Beheshti University, Tehran, Iran. During her master's studies, her research focused on machine learning and computer vision for medical image analysis.

In November 2023, she joined the Chair of Dependable Nano Computing (CDNC) at Karlsruhe Institute of Technology (KIT) as a Ph.D. researcher. Her current research focuses on machine learning and optimization for emerging computing systems, particularly printed and flexible neuromorphic computing, toward hardware-aware, reliable, and robust AI systems.

 

Previous Publication

Tara Gheshlaghi, Shahabedin Nabavi, Samire Shirzadikia, Mohsen Ebrahimi Moghaddam, Nima Rostampour
A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy
in Physics in Medicine & Biology (Phys. Med. Biol.), 2024, DOI, PDF

Publications

Journals
Priyanjana Pal, Tara Gheshlaghi, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi Tahoori
Printed ultra-low-cost electronic x-design with scalable adaptive fault endurance
in ACM Transactions on Embedded Computing Systems, DOI, Mar 2025.
Conferences
Simon Schupp, Tara Gheshlaghi, Priyanjana Pal, Mehdi B Tahoori
FAT-SNN: Fault-Aware Training of Flexible Analog Spiking Neural Networks Using Robust Surrogates
in IEEE European Test Symposium (ETS), DOI, May 2026.
Tara Gheshlaghi, Dina A Moussa, Michael Hefenbrock, Mehdi B Tahoori
Compact Functional Test Pattern Generation for DNNs Using Evolution Strategies
in 2026 IEEE 44th VLSI Test Symposium (VTS), DOI, Apr 2026.
Tara Gheshlaghi, Alexander Studt, Priyanjana Pal, Dina A Moussa, Michael Hefenbrock, Michael Beigl, Mehdi B Tahoori
Diagnostic Test Generation for Fault Localization in Printed Neuromorphic Circuits
in 2026 Design, Automation & Test in Europe Conference (DATE), DOI, Apr 2026.
Priyanjana Pal, Tara Gheshlaghi, Suman Balaji, Emre Ozer, Mehdi B Tahoori
Thermo-NAS: Thermal-resilient ultralow-cost IGZO-based Flexible Neuromorphic Circuits
in 2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC), DOI, Jan 2026.
Priyanjana Pal, Alexander Studt, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi Tahoori
Spikesynth: Energy-efficient adaptive analog printed spiking neural networks
in 2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD), DOI, Oct 2025.
Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Power-Constrained Printed Neuromorphic Hardware Training
in 62nd ACM/IEEE Design Automation Conference (DAC), DOI, PDF, Jun 2025.
Tara Gheshlaghi, Priyanjana Pal, Alexander Studt, Michael Hefenbrock, Michael Beigl, Mehdi B Tahoori
Automatic test pattern generation for printed neuromorphic circuits
in 2025 IEEE European Test Symposium (ETS), DOI, May 2025.
S. Maryam Ghasemi; Jonas Krautter; Tara Gheshlaghi; Sergej Meschkov; Dennis R. E. Gnad; Mehdi B. Tahoori
Degradation Monitoring Through Software-controlled On-chip Sensors for RISC-V
in IEEE European Test Symposium (ETS), Hague, Netherlands, DOI, PDF, May 2024.
Tara Gheshlaghi, Priyanjana Pal, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters
in Design, Automation & Test in Europe Conference (DATE), DOI, PDF, Mar 2025.
Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits
ICCAD '24: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, DOI, PDF, Oct 2024.