Student Travel Grants + Women in Circuits Travel Grants
The IEEE Solid-State Circuits Society Student Travel Grant Award (STGA) program recognizes and promotes early career accomplishments in all solid-state circuits fields by supporting student travel to SSCS-sponsored conferences.
With the help of the STGA program, up-and-coming young engineers:
- may network with researchers from industry, academia, and government from all over the world
- learn about IC design break-throughs, and about challenges that have not yet been solved or need to be addressed, in-person and in advance.
STGA applicants must be SSCS members, and studying electrical or electrical and computer engineering. Preference will be given to students who are enrolled for at least a year in a PhD program, and be recommended by one professor. The committee will also consider senior undergraduate students and master students who have shown to be interested in pursuing graduate studies in the field of IC design.
ISSCC 2023 Student Travel Grant Application
The 2023 application period is now closed. Please check back around September 2023 for an opportunity to secure a grant in 2024.
ISSCC 2022 Student Travel Grant Recipients
Dhairya Arora - Birla Institute of Technology and Science, Pilani
Baibhab Chatterjee - Purdue University
Baibhab Chatterjee received his B.Tech. degree in ECE from NIT Durgapur, India in 2011 and M.Tech. degree in EE from IIT Bombay, India in 2015. He is currently working toward his Ph.D. in the School of ECE, Purdue University, USA. He was with Intel, India as a Digital Design Engineer during 2015-2017, and with Tejas Networks, India as an R&D Engineer during 2011-2012. He interned at the IBM T.J. Watson Research Center during Summer 2020 and Summer 2021, working on Cryo-CMOS implementations of quantum readout and control.
Baibhab’s current research interests include energy-efficient designs for secure communication and analytics for body area networks using analog, mixed-signal and RF techniques. During his graduate studies, he had several first-authored publications including ISSCC, JSSC, VLSI, RFIC, and CICC. He received the Bilsland Dissertation Fellowship and the Frederick N. Andrews Fellowship at Purdue University, the Best Student Poster/Paper Awards in HOST 2018/2019, the Best Paper Awards in CICC 2019/2021, and the IEEE Microwave 3MT Award in IEEE IMS/RFIC 2020.
Baibhab serves as a reviewer for IEEE/ACM journals and conferences including JSSC, TCAS-I, TBIOCAS, TVLSI, IOT-J, SSCL, MWCL, ISCAS, VLSID, and EMBC. He was a student advisor for the SRP session in IEEE ISSCC 2020.
Xi Chen - University College Dublin
Xibi Chen - Massachusetts Institute of Technology (MIT)
Xibi Chen is currently a Ph.D. student at the Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology (MIT), Cambridge, MA. He received his B.S. and M.S. degree from Tsinghua University, Beijing, China, in 2017 and 2020, respectively. From 2015 to 2017, he was a Research Assistant with the Microwave and Antenna Institute, Department of Electronic Engineering, Tsinghua University. He later became a Graduate Student Researcher in the same institute from 2017 to 2019. In 2020, he joined EECS, MIT as a Ph.D. student. His current research interests include terahertz (THz) integrated electronic system, THz imaging/sensing, and CMOS electromagnetics/optics. He was the recipient of Analog Devices Outstanding Student Designer Award.
Kyung-Sik Choi - Korea Advanced Institute of Science and Technology
Kyung-Sik Choi received the B.S. and M.S. degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2016 and 2018, respectively, where he is currently working toward the Ph.D. degree. His research interests include RF integrated circuits and systems, high-frequency (terahertz) integrated circuits and systems based on CMOS technology.
Mr. Choi received Bronze Medal in 26th Samsung Human-Tech Paper Award in 2020 and Minister of Trade, Industry and Energy Award in 21st Korea Semiconductor Design Contest in 2020.
Saurbah Dhiman - Indian Institute of Technology Mandi, INDIA
Saurabh Dhiman received his Bachelor’s degree in Electrical and Electronics Engineering from Panjab University, Chandigarh, India in 2017. He joined as a Master’s student with a specialization in VLSI at the Indian Institute of Technology Mandi, India in 2018 and converted to a full-time doctoral program in 2019. He is currently working towards his PhD degree at the Indian Institute of Technology Mandi, India. His research interests focus on analog and mixed-signal circuit design and in particular data converters that include analog-to-digital converters (ADCs) and time-todigital converters (TDCs) for particle detector application. Mr. Dhiman is a recipient of the IEEE Circuits and Systems Student Travel Grant Award in 2020. His previous work has been accepted in IEEE International Symposium on Circuits and Systems (ISCAS) in 2020 and the Asia Pacific Conference on Circuits and Systems (APCCAS) in 2019.
Ava O Dwyer - University College Cork
Ava O’Dwyer is a final year student, currently pursuing a Bachelors of Electrical and Electronic Engineering at University College Cork, Ireland and plans to pursue a PhD in analog microelectronics. Current research topics of interest include cryogenics, low power and high precision circuits, CMOS comparators and mixed-signal circuits.
Muhammad Musab Farooq - University of Texas at Dallas
I am Muhammad Musab Farooq. I was born in Jhelum, Pakistan. I received the BSEE degree from the National University of Sciences & Technology, Pakistan in 2018. I am currently working towards my Ph.D. degree in Electrical Engineering at the University of Texas at Dallas, TX, USA. My research is focused on Infrared signal detection using structures in CMOS.
Before starting my Ph.D., I worked at LUMS, Pakistan as Research Assistant. My work there was focused on RF Transmitter Design and Energy Harvesting at Millimeter-Wave Frequencies. I have coauthored one journal and one conference publications.
Jia Yi Fong - National University of Singapore
Xi Fu -Tokyo Institute of Technology
Xi Fu received the B.E. degree (with honours) from Dalian University of Technology, Liaoning, China, in 2017, and the M.E. degree from the Department of Electrical and Electronic Engineering at Tokyo Institute of Technology, Tokyo, Japan, in 2019. His research interests include CMOS radio frequency (RF)/millimeter-wave/terahertz transceiver systems, 5G mobile systems, phased-array transceiver, and satellite wireless system. Mr. Xi was a recipient of the Japanese Government (MEXT) Scholarship. He serves as a reviewer of IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Circuits and Systems I.
Jose Guajardo - University of California-Berkeley
Jose C. Guajardo received the B.S. degree in Electrical Science and Engineering from the Massachusetts Institute of Technology (MIT) in 2021 and is currently pursuing a Ph.D. degree at University of California, Berkeley. At MIT, he worked in the Microsystems Technology Laboratory as a student researcher. Specifically, his work focused on designing radio-frequency transceiver circuits like power amplifiers. His research interests as a graduate student are at the intersection of electromagnetics and integrated circuits, and include high-frequency transceiver and array system design.
Jiaqi Guo - National University of Singapore
Jiaqi Guo (Student Member, IEEE) received the B.S. degree from Xidian University, Xi’an, China, in 2019, and the M.S. degree from the National University of Singapore (NUS), Singapore, in 2020. He is currently working toward a Ph.D. degree with the Department of Electrical and Computer Engineering, NUS. His current research interests include power management units and transmitter circuits and systems for an ultrasonic transmission imaging application.
Yi-Yen Hsieh - National Taiwan University
Yi-Yen Hsieh (S’21) received the B.S. & M.S. degrees in electrical engineering and electronics engineering from National Taiwan University (NTU), Taipei, Taiwan, in 2015 and 2017, respectively. Her research interests include energy-efficient VLSI design for AI, biomedical, & machine learning applications. She is currently pursuing the Ph.D. degree at the Graduate Institute of Electronics Engineering at NTU.
Shimin Huang - Cornell University
Shimin Huang received the B.S.
Dongseok Im - Korea Advanced Institute of Science and Technology (KAIST)
Dongseok Im received the B.S. degree in electrical engineering from the Pohang University of Science and Technology (POSTECH), Pohang, South Korea, in 2018, and the M.S. degree in electrical engineering at the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2020, where, he is currently pursuing the Ph.D. degree.
His current research interests include energy-efficient deep learning on 2D image and 3D point cloud system-on-chip (SoC) design and intelligent 2D and 3D vision system development.
Vikram Jain - KU Leuven
Vikram Jain received B.E. degree in Electrical Engineering from Sathyabama University, India, and M.Sc degree in Embedded Electronics Systems Design (EESD) from Chalmers University of Technology, Sweden, in 2014 and 2018 respectively. In his masters, he was a recipient of prestigious research fellowship from Swedish Institute (SI) for 2016-17 and 2017-18. The subject of his master thesis was Reconfigurable-Rate Product Decoders for Rate-Adaptable Optical Networks, in collaboration with Fiber-Optics Communication Research Centre (FORCE) and funded by KA Wallenberg Foundation, Sweden. In 2018, he joined ESAT-MICAS Laboratories, KU Leuven as a research assistant. Currently, he is working towards a PhD degree in energy efficient digital acceleration and RISC-V processors for machine learning applications at the edge, under the supervision of prof. Marian Verhelst. His current research interests include ML accelerators, RISC-V architecture, heterogenous systems, design space exploration, low power digital design, and hardware design automation.
Rafailia-Eleni Karamani - Democritus University of Thrace
ZeinabAlsadat KashaniRavandi - Pennsylvania State University
Zeinab Kashani (S’15) received the B.S. degree from University of Tehran, Tehran, Iran, in 2012, and the M.Sc. degree in microelectronics from Tarbiat Modares University, Tehran, Iran, in 2015. Her M.Sc. thesis was titled “Design of a low phase noise mm-wave quadrature VCO”. From 2012 to 2018, she worked as a programmer and electronic circuit designer, developing circuits and firmware for embedded systems, in medical instruments and smart wearable companies affiliated with University of Tehran and Sharif University of Technology. Then, she joined the Integrated Circuits and Systems Laboratory (ICSL) at the Pennsylvania State University, University Park, PA, USA, in 2019, where she is currently working toward the Ph.D. degree in electrical engineering. Her research interests include biomedical circuits & systems, analog, digital, mixed-signal, RF, and mm-wave integrated circuits design.
Muhammad Ibrahim Wasiq Khan - Massachusetts Institute of Technology
Muhammad Ibrahim Wasiq Khan received the B.E. degree (Hons.) in electrical engineering from the National University of Science and Technology (NUST), Islamabad, Pakistan in 2012, and the M.Sc. degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea in 2016, where he worked on THz detectors and THz imaging systems based on CMOS technology. He is currently pursuing a Ph.D. degree with the Electrical Engineering and Computer Science (EECS) Department, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, where he is working on CMOS-based THz identification tags, THz energy harvesting systems, and THz-OAM secure transceivers. His research interests include mm-wave and THz integrated wireless systems. Mr. Khan is a recipient of IEEE Radio-Frequency Integrated Circuits (RFIC) Symposium Best Student Paper Award (First Place) in 2021. He also received the Rector's Silver Medal for his B.E. degree.
Juyeop Kim - Korea Advanced Institute of Science and Technology
Keun-Mok Kim - Korea Advanced Institute of Science and Technology (KAIST)
Soyeon Kim - Korea Advanced Institute of Science and Technology (KAIST)
Soyeon Kim (Graduate Student Member, IEEE) received the B.S. and M.S. degree from the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2019 and 2021, where she is currently pursuing the Ph.D. degree.
Her research interests include energy-efficient deep learning processor design and intelligent computer vision systems. She received the Best Design Award in the 2020 A-SSCC Student Design Contest and the Best Paper Award in 2021 ISCAS from IEEE CAS Society.
Changuk Lee - Yonsei University
Changuk Lee received the B.S. degree in electrical and electronic engineering from Yonsei University, Seoul, South Korea, in 2016, where he is currently pursuing the M.S. and Ph.D. degree in electrical and electronic engineering advised by Prof. Youngcheol Chae. His current research interests include continuous-time delta-sigma modulator, high-precision analog circuits, low-noise sensor interfaces, and miniaturized wireless neural interface. His Ph.D. research resulted in several publications in Journal of Solid-State Circuits (JSSC), International Solid-State Circuits Conference (ISSCC), Symposium On VLSI Circuits (SOVC), Custom Integrated Circuits Conference (CICC), European Solid-State Circuits Conference (ESSCIRC), and Asian Solid-State Circuits Conference (ASSCC).
He received the Bronze Prize (2018) and Sliver Prize (2020) in the Samsung Human-Tech Paper Award in Circuit Design hosted by Samsung Electronics, the IEEE SSCS Student Travel Grant Award (2021-2022), and the IEEE SSCS Predoctoral Achievement Award (2021-2022).
Zhiyong Li - KAIST
Zhiyong LI received the B.S. degree as an Outstanding Graduate from Fudan University, China in 2019, and M.S. degree from KAIST, Korea in 2021, where he is currently working toward the Ph.D. degree.
His current research interests include energy-efficient deep learning processor design, hardware-friendly algorithm optimization, and HW-SW co-designed architecture development. His recent research on heterogeneous system design will be presented at ISSCC SRP, February and CICC, April.
Zhuoyue Li - National University of Singapore
Zhuoyue Li received the B.E. degree in electronic science and technology from Tianjin University, Tianjin, China, in 2020, and M.S degree from National university of Singapore, Singapore in 2021. She is currently working toward the Ph.D. degree with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. Her research focuses on high voltage transceiver in ultrasound system, low-power, low-noise and high performance readout circuit, and mixed-signal system implementation for bio-medical applications.
Yu-Chi Lin - University of California, Berkeley
Nathan Monroe - Massachusetts Institute of Technology - MIT
Nathan studied at MIT for his undergraduate studies with a focus on circuit design, graduating in 2013. From 2013-2015, Nathan worked on the Xbox Hardware Development team at Microsoft, where he focused on sensor arrays and time of flight imaging. Nathan returned to MIT in 2015 for his PhD studies, with an initial focus on low-power electronics and acoustic energy harvesting from broadband noise sources. He recently received a PhD from the Terahertz Integrated Electronics group (led by Prof Ruonan Han), where in recent years he has led the bringup process to use the Intel 22nm FinFET process for Terahertz systems, producing some of the first Terahertz systems demonstrated in the process. Nathan’s research interests include Terahertz antenna arrays and radar imaging, both of which he will be speaking on as a presenter at ISSCC 2022. The topic of his PhD is the same as this ISSCC paper, which is large-scale Terahertz antenna arrays. As will be seen during the ISSCC demo session which includes a live Terahertz Radar Imaging Demo, Nathan aims to push the size, power and radiation performance of these arrays to new levels to enable Terahertz systems to make the leap to real-world applications.
Akhil Pakala - Rice University
Dilruba Parvin - University of Missouri
Dilruba Parvin completed her bachelors’ degree in Electrical, Electronics and Communication Engineering (EECE) from Military Institute of Science and Technology (MIST) in 2016. Currently she is pursuing her doctorate degree in Electrical and Computer Engineering at University of Missouri. She is working simultaneously in Analog/Mixed-Signal, VLSI and Devices Laboratory (AVDL) as a research assistant and in the department of Electrical Engineering and Computer Science (EECS) as a graduate instructor (GI). She also served EECS department as a graduate teaching assistant (GTA) for two years. Dilruba’s research topic focuses on the development of low-power integrated circuits for RF energy harvesting applications. Additionally, she is working on the development of machine learning (ML) embedded energy efficient integrated circuits for energy harvesters. She is also working on a few collaborative projects in her laboratory such as design of low-power, AI/Machine-Learning integrated chip-based biosensors for wearable medical applications. She is also working as the manager of her laboratory group. She published her work in several reputed journals and presented her work at conferences such as IET Circuits, Devices and Systems (CDS), International Journal of High-Speed Electronics and Systems (IJHSES), IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Connecticut Symposium on Microelectronics and Optoelectronics (CMOC). Besides, she co-authored papers focused on low-power respiration monitoring system that was presented at IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) and accepted for publication in Journal of Signal Processing Systems. She is skilled in various software and hardware programming languages such as Python, VHDL, VerilogA, Verilog, C/C++. Her research focuses on the development of low power circuit design which enables her to work with different design software such as Cadence Virtuoso, SPICE, Altium, etc. Dilruba is actively involved in different type of campus activities. She achieved Deaton Scholar certification from Deaton Institute for University Leadership in International Development of University of Missouri. Besides she is an active member of Bangladesh Student Association at Mizzou. She is a graduate student member of IEEE, IEEE WIE, IEEE CAS, IEEE SSCS, IEEE IMS, IEEE PELS and IEEE YP. She has been with IEEE for more than 3 years of her academic life.
Sreeni Poolakkal - Washington State University
Sreeni Poolakkal received his B. Tech from University of Calicut, India and M. Tech. from Indian Institute of Technology Guwahati, India. He did his Master's thesis on low power and low phase noise Oscillators. Subsequently, he joined Tata Steel, India, as an automation Technologist. He is currently working towards his PhD degree at Washington state university. His research interests include highly linear and wide band phased array radios.
Subhajit Ray - Columbia University
Sam Razavian - University of California Los Angeles
Arslan Riaz - Boston University
Arslan Riaz received a B.S. degree in Electrical Engineering from the National University of Sciences and Technology (NUST), Islamabad, in 2018. He worked as a research assistant at the Electrical Engineering Department in Lahore University of Management Sciences (LUMS) from 2018 to 2019. His research was focused on RF Energy Harvesting for IoTs. His work was published at EuMC 2019 and MWCL 2021.
He joined Boston University in September 2019 as a Ph.D. student in the Electrical and Computer Engineering Department. Currently, he is a third-year Ph.D. student at Wireless Integrated Systems and Extreme Circuits (WISE-Lab), led by Prof. Rabia Yazicigil. His Ph.D. research is oriented towards the development of energy-efficient and secure wireless communication systems in collaboration with MIT and Maynooth University. His work on the universal GRAND decoder has been published at ESSCIRC 2021 and GLOBECOM 2021. The demo of the chip was presented at ISSCC-SRP 2021, 5G World Forum 2021, and COMSNETS 2022.
He has received several awards, including Best Demo Award at COMSNETS’22, RFIC 2020 NSF Student Conference Registration Award, CICC 2020 Student Education Grant Award, Boston University Distinguished Ph.D. Fellowship, NUST Merit Scholarship, and NUST 2018 Open House winner for best Senior Design Project.
Michella Rustom - University of Southern California
Michella Rustom received her Bachelor's degree (Summa Cum Laude) in Electrical Engineering in 2017 from Notre Dame University-Louaize (NDU), Zouk Mosbeh, Lebanon, and her Master's degree in Electrical and Computer Engineering in 2019 from the American University of Beirut (AUB), Beirut, Lebanon. She is currently pursuing her Ph.D. degree in Electrical and Computer Engineering at the University of Southern California, Los Angeles, CA, USA. Her research interests include analog and RF integrated circuits for biomedical applications, biosensors, wearable devices and wireless communications. Michella is a recipient of the Annenberg Fellowship from the USC Viterbi School of Engineering in 2019, and the 2021 Cadence Women in Technology Scholarship.
Uisub Shin - Cornell University
Uisub Shin received the B.E. and M.S. degrees in Electrical Engineering from Chungnam National University and Korea Advanced Institute of Science and Technology (KAIST) in 2015 and 2017, respectively, both with the highest honor. Since 2018, he has been pursuing the Ph.D. degree in Electrical and Computer Engineering at Cornell University. He is currently a visiting Ph.D. student at Swiss Federal Institute of Technology (EPFL), Switzerland.
His research interests lie in the design of energy-efficient, scalable mixed-signal biomedical ICs and machine learning processors for human body and brain interfaces. During his Ph.D. studies, he has been awarded the Cornell Fellowship (2018) and the Kwanjeong Fellowship (2018-22).
Salma Soliman - The American University in Cairo
Salma Soliman is a senior undergraduate student in B.Sc. Electronics and Communication Engineering at the American University in Cairo, Egypt (AUC) and a recipient of the Public Schools Scholarship Fund. Currently, she is an undergraduate research assistant in the SEAD research group at the AUC, under the supervision of Dr. Hassanien Amer and Dr.Cherif Salama. She is interested in digital circuits design. She is also an undergraduate teaching assistant in the VLSI Design course at the AUC taught by Dr. Mohab Anis. Her current research focuses on high-performance CMOS digital circuits. She was an analog/mixed signals design intern at Siemens EDA, Egypt in summer 2021. She is an exchange student at North Carolina State University in ECE in Spring 22. She will graduate from AUC in Spring 2023.
Yuqi Su - Nanyang Technological University
Yuqi Su (Student Member, IEEE) received the B.S. degree in Electrical and Electronic Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2017, and M.S. degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2018. He is currently pursuing the Ph.D. degree in the mixed-signal lab at the Nanyang Technological University, Singapore. Before his PhD study, he was a design engineer at MediaTek in Singapore. His research interests include memory-centric computing circuits and architectures for optimization problems and artificial neural networks using both CMOS and emerging non-volatile memories including MRAM and RRAM.
Jui-Hung Sun - University of Southern California
Jui-Hung Sun received the B.S. degree (with honors) in electrical engineering from the California Institute of Technology (Caltech), Pasadena, CA, USA, in 2020. He is currently working toward the Ph.D. degree in electrical engineering at the University of Southern California (USC), Los Angeles, CA, USA. His research interests include analog/RF integrated circuit design for biomedical, imaging, and communication applications. He was a recipient of a Ming Hsieh Department of Electrical and Computer Engineering Fellowship from the USC Viterbi School of Engineering in 2020.
Junyao Tang - Iowa State University
Junyao Tang received the B.S. degree in electronic and electrical engineering from Southern University of Science and Technology, Shenzhen, China, in 2018. He is currently pursuing the Ph.D. degree at Iowa State University, Ames, IA.
His current interests include analog and mix-signal IC design and power management IC design.
Tuna Berk Tufan - Worcester Polytechnic Institute
Tuna B. Tufan received his B.Sc. degree in Electrical and Electronics Engineering from the Middle East Technical University, Ankara, Turkey, in 2020. During his junior and senior years at METU, he worked as an undergraduate researcher in the Heart Research Lab with a focus on the Bayesian estimation methods for the inverse problem of electrocardiographic imaging. In the summer of 2019, he conducted a research internship in the Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering at RWTH Aachen University, Aachen, Germany. In MedIT, he developed an impedance measurement system for the coupling impedance of capacitive ECGs. He is currently a Ph.D. student in the Integrated Circuits and Systems (ICAS) Lab at Worcester Polytechnic Institute. His research focuses on the analog and mixed-signal design for wearable wireless sensors for monitoring respiratory functions. He is a student member of IEEE.
Soyeon Um - Korea Advanced Institute of Science and Technology (KAIST)
Her current research interests include low-power deep learning and intelligent vision system-on-chip (SoC) design, energy-efficient processing-in-memory architecture, and application-specific neuromorphic hardware.
Madhan Venkatesh - University College Cork
Anthony Wall - University College Cork
Anthony Wall (S’18) is from Tipperary, Ireland. He attained the B.E. degree (first class honours) in electrical & electronic Engineering from University College Cork, Ireland in 2018. He is the winner of the 2017 Joe Gantly Prize in Engineering from University College Cork, and the 2018 MIDAS (Microelectronic Design Association of Ireland) 3rd Level Project Competition.
He undertook two summer internships at Infineon Technologies AG (formerly Cypress Semiconductor) in 2016 and 2017, for the latter of which he won the Joe Gantly Prize from University College Cork. He is currently pursuing the Ph.D. degree with the Microelectronic Circuits Centre of Ireland (MCCI) at Tyndall National Institute in Cork, Ireland.
His research interests include sensor interface circuits and readouts, current-domain readouts, current-to-digital converters, current-controlled ring oscillator linearisation and its application to ADCs, and low-power, low-area front-ends for current readout. He is an avid organising committee member of the local Cork IEEE Student Branch.
Tzuhan Wang - Georgia Institute of Technology
Zhongzheng Wang - University College Cork
Zhongzheng Wang received his B.E. Degree in Electronics Science and Technologies from Beijing University of Chemical Technology (BUCT), Beijing, China in 2017, and M.E. Degree in Electronics Engineering from IoE Research Group at University College Dublin (UCD), 2019. Currently, he is conducting Ph.D. research at Microelectronics Circuit Center of Ireland (MCCI).
His research focuses on developing new generation electrochemical sensor interface ICs, covering the design of low-power and low-noise amplifiers, chopping stabilization amplifiers, high precision ADC/DACs, low-leakage-current sampling switches and phase noise reduction techniques.
Jiajia Wu - University of California San Diego
Jiajia Wu received the B.S. degree in electronic information engineering from Zhejiang University, Hangzhou, China in 2016, and the M.S. degree in electrical and computer engineering in the University of California San Diego, La Jolla, CA, USA in 2020, where she is currently pursuing the Ph.D. degree.
Her current research interests include miniaturized silicon integrated bioinstrumentation for implantable brain-machine interfaces.
Liuhao Wu - National University of Singapore
Liuhao Wu received his B.E. degree from the School of Electrical and Electronic Engineering, NTU, Singapore, in 2019. He is currently working toward the Ph.D. degree with the Department of Electrical and Computer Engineering, NUS, Singapore. His research focuses on fast digital beamformers for UIS.
Shanshan Xie - The University of Texas at Austin
Shanshan Xie received the B.S degree in Electrical and Computer Engineering (ECE) from Worcester Polytechnic Institute (WPI), Worcester, MA, USA in 2018 and she is currently pursuing the M.S. and Ph.D. degree in electrical and computer engineering from The University of Texas at Austin (UT Austin), Austin, TX, USA. Her research interests include mix-signal design for compute-in-memory techniques, machine learning accelerator and annealing processors.
She was an intern with Analog Devices, Wilmington, MA, USA, and with Texas Instrument Corporation, Dallas, TX, USA where she was involved in programmable gain instrumentation amplifier, ECG heart rate monitor, CAN isolation products. She was a recipient of the Cadence Women in Technology Scholarship from Cadence in 2020.
Jinglong Xu - Korea Advanced Institute of Science and Technology (KAIST)
Rongjin Xu - Fudan University
Rongjin Xu received the B.E. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2014, and the M.S. degree from Fudan University, Shanghai, China, in 2017, where she is currently pursuing the Ph.D. degree. In 2020, she was a Visiting Ph.D Student at the Department of Electrical & Computer Engineering, University of Washington, WA, USA.
Her current research interests include the design of analog and mixed-signal integrated circuits, especially low-noise and high-performance clock generation circuits.
Dongwon You - Tokyo Institute of Technology
Linran Zhao - The University of Texas at Austin
Linran Zhao received his B.S. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2017 and his M.S. degree from the University of California, Irvine, in 2019. During 2019-2020, he worked as an analog design engineer in ASML, San Jose, CA. He is currently pursuing his Ph.D. degree at The University of Texas at Austin. His research interest includes analog/mixed-signal integrated circuits, sensor interface, and wireless systems for low power IoT devices, biomedical devices, and neural interface devices.
Timur Zirtiloglu - Boston University