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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