MICS Graduate Students
As of the fall 2023 semester, there are 36 graduate students (25 Ph.D. and 11 M.S. students). MICS graduate students are dedicated and hardworking individuals, who, along with MICS faculty members, pursue to build and maintain the best research group in multifunctional IC research in the world.
Ph.D. Students
| Name | Topic | Status | Advisor |
| Muhammad Azmine | VLSI, High Performance Computing | Passed Qualifying Exam, Joined in Fall 2022 | Yi |
| Shirazush Salekin Chowdhury | Neuromorphic Computing, Analog IC | Passed Qualifying Exam, Joined in Fall 2023 | Yi |
| Alberta Dadebo | Integrated sensing, IoT, secure hardware | Joined fall 2023 | Ampadu |
| Eric Danson | RF N-path Filter | Passed Qualifying Exam, Joined in Fall 2022 | Ha/Walling |
| Meysam Sohani Darban | RF VCO for Low Power IoTs | Joined in Fall 2022 | Ha/Walling |
| Pouya Faeghi | Inverse Design of RF Circuits | Joined Fall 2023 | Walling |
| Ramashish Gaurav | Spiking Neural Network | Passed Qualifying Exam in Fall 2022 | Yi |
| Mohammad Asfandyar Imtiaz | Digital Transceivers | Joined Fall 2023 | Walling |
| Behdad Jamadi | Digital Transceivers | Joined Fall 2023 | Walling/Ampadu |
| Jungmin Lee | Inverse Design of RF Circuits | Passed Qualifying Exam, Joined in Fall 2022 | Walling |
| Woojun Lee | Inverse Design of RF Circuits | Joined Fall 2023 | Walling |
| Yibin Liang | Intelligent Computing Systems | Passed Qualifying Exam in Fall 2020 | Yi |
| Chunxiao Lin | Neuromorphic Computing, VLSI Design. | Passed Qualifying Exam in Spring 2022 | Yi |
| Nima Mohammadi | Spiking Neural Nets & Privacy-Aware Ml | Passed Qualifying Exam in Fall 2021 | Yi |
| Fabiha Nowshin | Neuromorphic Computing, Energing Device | Passed Preliminary Exam | Yi |
| Souvik Pramanik | Spiking Neural Network and Loihi | Joined in Fall 2022 | Yi |
| Nishtha Rani | Mixed-Signal RF Transceivers | Joined in Spring 2023 | Walling |
| Md Rubel Sarkar | Neuromorphic Computing in ASIC | Passed Qualifying Exam, Joined in Fall 2022 | Yi |
| Halah Shehada | ML/AI for Smart Farm | Joined in Fall 2023 | Ha/Sook Shin |
| Xiaomeng Wang | Intelligent Computing Systems | Joined in Fall 2023 | Yi |
| Honghao Zheng | Neuromorphic Computing, Analog IC | Passed Preliminary Exam | Yi |
| Ummay Sumaya Khan | Neuromorphic computing, VLSI Design, Wireless Communication | Yi | |
| Ruizhe Li | On-Chip training in Digital systems, Neural Encoding, Hardware Accelerator designs in FPGA | Yi | |
| Kristopher Degray | Digital Design, FPGA | Yi | |
| Souvik Pramanik | Spiking Neural Network and Loihi | Yi |
M.S. Students
| Name | Topic | Expected Graduation | Advisor |
| Luis Franco Argueta | RF IC Design | Joined in Fall 2022 | Ha |
| Ji Wu Hong | Biosensing Circuit | Ha | |
| Shubham Bhatt | Smart Farm | Ha | |
| Nick Merton | Wireless sensor | Ha | |
| Rashmi Ravindranath | Digital Design, FPGA | Yi | |
| Jiaqiang Ling | VLSI Chip Layout | Yi | |
| Daniel Rosen | Spiking Neural Network and Reinforcement Learning | Yi | |
| Eli Levi | Semiconductor device, CMOS fabrication, VLSI Chip Layout | Yi | |
| Domenic Marcelli | Digital Design, FPGA | Yi | |
| Yizhi Huang | High Frequency ADC Design | Yi | |
| Brian Russell | Neuromorphic Computing and Cybersecurity | Yi |
MICS IAP Members
