MICS Graduate Students
As of the fall 2023 semester, there are 39 graduate students (25 Ph.D. and 14 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 | Joined in Fall 2022 | Yi |
| Shirazush Salekin Chowdhury | Neuromorphic Computing, Analog IC | Joined in Fall 2023 | Yi |
| Alberta Dadebo | Integrated sensing, IoT, secure hardware | Joined fall 2023 | Ampadu |
| Eric Danson | RF N-path Filter | 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 | 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 |
| Xingye Liu | IoT Power Management & Reliability | Passed Qualifying Exam in Fall 2015 | Ampadu |
| Shiya Liu | Neuromorphic Computing, Quantization | Passed Preliminary 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 Qualifying Exam in Spring 2021 | 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 | Joined in Fall 2022 | Yi |
| Khalil Sedki | VLSI, High Performance Computing | Joined in Fall 2022 | Yi |
| Sanchit Sethi | Neuromorphic Computing on FPGAs | Joined in Fall 2022 | Walling/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 Qualifying Exam in Fall2021 | Yi |
M.S. Students
| Name | Topic | Expected Graduation | Advisor |
| Shrestha Agarwal | Neuromorphic Computing on FPGA | Joined in Fall 2022 | Yi |
| Luis Franco Argueta | RF PA IC Design | Joined in Fall 2022 | Ha |
| Sanjana Manjunath Bharadwaj | ML for Smart Farm | Joined in Fall 2022 | Ha/Sook Shin |
| Sheena Deivasigamani | Joined in Fall 2022 | Yi | |
| Ruizhe Li | Neuromorphic Computing and Its Application In Communication | Joined in Fall 2022 | Yi |
| Yen-Cheng Lin | ML for Agriculture Sensing | Joined in Fall 2022 | Ha/Feras Batarseh |
| Dylan Longest | Biosensing Circuit | Joined in Fall 2023 | Ha |
| Yingqi Pei | ML for Pig Monitoring | Joined in Spring 2023 | Ha/Sook Shin |
| Gauri Sharma | Neuromorphic Computing on FPGA | Joined in Fall 2022 | Yi |
| Upasana Sivaramakrishnan | ML for Plant Sensing | Joined in Fall 2023 | Ha/Song Li |
| Lyle Smith | Neuromorphic Computing in ASIC | Joined in Fall 2022 | Yi |
| Chhayly Sreng | ML for Agriculture Sensing | Joined in Fall 2022 | Ha/Feras Batarseh |
| Anson Trapani | AI/ML for RF Transceivers | Joined in Fall 2023 | Walling |
| Yuezhong Xu | Wireless Sensor Node for Smart Farm | Joined in Fall 2022 | Ha |
MICS IAP Members
