M.Sc. Seyedehmaryam Ghasemi
- PhD Student
- room: B2-313.1
- phone: +49 721 608 44859
- seyedehmaryam ghasemi ∂ kit edu
Short Bio
Maryam received her Bachelor's and Master's degrees from the University of Tehran in the fields of Electrical Engineering-Digital Systems and Electrical Engineering-Digital Electronic Systems, respectively. Her bachelor's thesis was on Using Embedded Processors for Cryptocurrency Mining. During her master's thesis, she worked on Testing Accelerator-based Architectures with the supervision of Professor Zain Navabi. In September 2022, she joined the CDNC group at the Karlsruhe Institute of Technology (KIT) as a PhD student under the supervision of Professor Mehdi Tahoori. Her areas of interest include Silicon Lifecycle Management (SLM), Silent Data Corruption (SDC), RISC-V processors, FPGAs, testing, and deep learning.
Publications
Conferences | |
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S. M. Ghasemi, S. Meschkov, J. Krautter, D. R. E. Gnad and M. Tahoori Enabling In-field Parametric Testing for RISC-V Cores in International Test Conference (ITC), Anaheim, USA, 2023. | |
S. M. Ghasemi, S. Meschkov, J. Krautter, D. R. E. Gnad and M. Tahoori SLM ISA and Hardware Extensions for RISC-V Processors in IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), Crete, Greece, 2023. | |
S. M. Ghasemi, S. Meschkov, J. Krautter, D. R. E. Gnad and M. Tahoori In-field Detection of Small Delay Defects and Runtime Degradation using On-Chip Sensors in Design, Automation and Test in Europe Conference (DATE'24), Valencia, Spain, 2024. | |
S. M. Ghasemi, J. Krautter, T. Gheshlaghi, S. Meschkov, D. R. E. Gnad and M. Tahoori Degradation Monitoring Through Software-controlled On-chip Sensors for RISC-V in IEEE European Test Symposium (ETS), Hague, Netherlands, 2024. |
Former Publications
N. Nosrati, S. M. Ghasemi, M. Sadeghipour Roodsari and Z. Navabi Concurrent Error Detection for LSTM Accelerators in IEEE European Test Symposium (ETS), Barcelona, Spain, 2022. |
M. Sabet, A. Ramezani and S. M. Ghasemi COVID-19 Detection in Cough Audio Dataset Using Deep Learning Model in International Conference on Control, Instrumentation and Automation (ICCIA), 2022. |
M. Rajabalipanah, S. M. Ghasemi, N. Nosrati, K. Basharkhah, S. Yousefzadeh and Z. Navabi Reducing DFT hardware overhead by use of a test microprogram in a microprogrammed hardware accelerator in IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Frascati, Italy, 2020. |
S. Yousefzadeh, K. Basharkhah, N. Nosrati, M. Rajabalipanah, S. M. Ghasemi and Z. Navabi Reconfiguration of Embedded Accelerators by Microprogramming for Intensive Loop Computations in International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), Novi Sad, Serbia, 2020. |
S. M. Ghasemy, M. Rajabalipanah, S. Sarmadi and Z. Navabi SCOAP-based Directed Random Test Generation for Combinational Circuits in IEEE East-West Design & Test Symposium (EWDTS), Batumi, Georgia, 2019. |