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People

Principal Investigator
Professor Amin Arbabian

Prof. Arbabian received his BSc from Sharif University of Technology in 2005, MSc and Ph.D. from UC Berkeley in 2007 and 2011, respectively, all in Electrical Engineering. He's now an associate professor at Stanford University. His research interests cover circuit/system design in three general areas of 1) mm-Wave and THz, 2) Biomedical, and 3) Ultra-Low Power Electronic sensors.
Visiting Faculty and Scientists
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Dr. Ali Keshavarzi
Ali is a technology visionary and a leader who has been at the forefront of technology innovation with a track record of delivering critical process technologies, devices, circuits, SoCs, modules and sub-systems to the semiconductor industry. Most recently Ali was the Vice President of R&D and a Fellow at Cypress Semiconductor. He has had various senior R&D roles and leadership roles working with senior executives and technical fellows at Intel, TSMC, and GLOBALFOUNDRIES. He is the founder of Leading Edge Research LLC. He is a technical advisor to several startup companies. He is a visiting scholar and an advisor to IoE/IoT research thrust at Stanford and a visiting professor at UC Berkeley.

He has over 60 U.S. patents, over 70 peer reviewed papers, has received best-paper awards and the best-panel award at ISSCC, most paper citation awards from DAC and IEDM. He has served in TPC of IEDM and ISSCC and has been the general chair of ISLPED. He received the prestigious Intel Achievement Award (IAA). Ali was awarded a distinguished Outstanding Electrical and Computer Engineer (OECE) of Purdue University.

Ali has received his Ph.D. in EE from Purdue University.


Research Staff/Engineers
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Jun-Chau Chien
Jun-Chau Chien received the Ph.D. degree in Electrical Engineering and Computer Sciences from University of California, Berkeley, in 2015. He is currently a post-doctoral research associate at Stanford University. He has held industrial positions at InvenSense, Xilinx, and HMicro working on mixed-signal integrated circuits for sensors, wireline, and wireless transceivers. He is broadly interested in innovative biotechnology for point-of-care diagnostics and medical imaging with emphasis on silicon-based approaches. Dr. Chien is the recipient of the Annual Best Thesis Award from Graduate Institute of Electronics Engineering, National Taiwan University, the 2007 International Solid-State Circuit Conference (ISSCC) Silkroad Award, the co-recipient of 2010 IEEE Jack Kilby Award for ISSCC Outstanding Student Paper, the 2014 Analog Devices Outstanding Design Award, the 2014 Microwave Theory and Techniques Society (MTT-S) Graduate Fellowship for Medical Applications, the 2014 Solid-State Circuit Society (SSCS) Predoctoral Achievement Award, and the 2014 UC Berkeley Outstanding Graduate Student Instructor Award.

Postdoctoral Scholars
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Christopher Sutardja
Christopher Sutardja received his Ph.D. degree in Electrical Engineering and Computer Sciences from University of California, Berkeley in 2017. His Ph.D. research focused on the design of wearable integrated RFID readers for wireless power delivery/data communication with brain implants. His current research interests include design of integrated transmitters for microwave thermoacoustic imaging, wireless power delivery, power amplifiers, and biomedical electronics.


Aslan Etminan
Aslan received his Ph.D. degree in Electrical and Computer Engineering from University of Southern California in 2019. His Ph.D. research mainly focused on solution of inverse scattering problems via hybrid global and local optimization. His current research interests include microwave imaging, inverse scattering problems, and remote sensing applications.


Pyungwoo Yeon
Pyungwoo Yeon received the B.S. degree from Seoul National University, Seoul, Korea, in 2010, the M.S. degree from University of Tokyo, Tokyo, Japan, in 2012, and Ph. D. degree from Georgia Institute of Technology in 2019, respectively, all in electrical and computer engineering. He worked at LG Electronics, Samsung Electronics, and Apple Inc., where he developed DLNA certified media servers, a state-of-art wireless charger IC, and a display module for wearable devices. He is currently a postdoctoral scholar at Stanford University. His research interests include innovative implantable/wearable biomedical systems, wireless power/data transmission, and analog/mixed circuits. He is the co-recipient of the IEEE Wireless Power Transfer Conference (WPTC) Best Paper Award in 2013, the Silver Award in the Samsung Electro-Mechanics Best Paper in 2016, and the 3rd IEEE Biomedical Circuitsand Systems Conference (BioCAS) Best Paper Award in 2017.
Graduate Students
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Miaad Seyed Aliroteh
Miaad received the Bachelor of Applied Science and Engineering degree from University of Toronto, Canada in 2012. He is currently pursuing a Ph.D. degree in Electrical Engineering at Stanford University. His research interests include biosensors, biomedical imaging, neural interfaces, neuroprotheses, implantable/wearable devices, energy-efficient signal processing, as well as RF, analog, and digital VLSI circuit design.


Mahmoud Sawaby
Mahmoud received his MSc degree from Cairo University in 2014, where he worked on a mm-Wave imaging system for skin and breast tumor detection. He is currently pursuing a PhD degree in EE at Stanford University. His research interests include mm-Wave systems for high-speed wireless links, and low power IC designs. In 2011, he won TGD best graduation project award. In 2011 and 2014, he worked as a part-time analog design engineer at Si-ware systems, where he designed front-ends for bridge interfaces, thermal control loops, and cap-less ADC reference buffers. He also received Fairchild most unusual design award in 2014.


Spyridon Baltsavias
Spiros received his B.S. in Electrical Engineering at the University of Massachusetts Amherst in 2014. He is now pursing a PhD at Stanford University; his primary research interests lie in the interface between electronics and the human body, and specifically in wireless power delivery and data telemetry for biomedical devices.


Angad Rekhi
Angad received his B.S. in Electrical Engineering from Caltech in 2014, where he worked on the design and test of integrated photonic circuits. Currently, he is pursuing a PhD in Electrical Engineering at Stanford. His research interests include wireless power transfer, low-power and power harvesting circuits and systems, emerging methods of neural stimulation, and the interaction of electromagnetics and acoustics.


Max Wang
Max received his B.S. in Electrical Engineering from Caltech in 2015 where he worked on radiative wireless power transfer. He is now pursuing a Ph.D. in Electrical Engineering at Stanford. His research interests include biomedical devices, electromagnetics, and integrated circuit systems.


Ajay Singhvi
Ajay is presently working towards his M.S./PhD degree in Electrical Engineering from Stanford University. He received his B.E. in Electrical and Electronics Engineering from Birla Institute of Technology and Science Pilani, India in 2015, where he worked on the design of low power asynchronous circuits. His current research is geared towards the design of integrated circuit systems for non-contact thermoacoustic and ultrasound imaging applications.


Okan Atalar
Okan received his B.S. in Electrical Engineering from Bilkent University in 2016. He is currently pursuing a PhD in Electrical Engineering at Stanford University. His research interests include optical interferometry, digital holography, time-of-flight imaging, and LIDAR.


Ernest So
Ernest received his B.S. and M.S.E in Biomedical Engineering from Johns Hopkins University in 2014 and 2016. He is currently working toward the Ph.D. degree at Stanford University. His current research interests include wireless power transfer, biomedical circuits, CMOS image sensors, wireless communication, and mixed signal circuits.


Ahmed Sawaby
Ahmed received his BSc. degree from Cairo University in 2014. His research interests include analog-mixed circuits, low-power systems, energy harvesting, ultra low-power transceivers and RF systems. He worked as an RFIC design engineer at Silicon Vision, Synopsys Inc., where he was responsible for designing the PMU for a state of the art BLE IP module. He also worked as a TA/RA at Cairo University.


Soheil Hor
Soheil has received his B.Sc. and M.Sc. in Electrical Engineering from Isfahan University of Technology in 2012 and 2013 and his M.Sc. in Biomedical Engineering from University of British Columbia in 2016. He is recipient of the MICCAI young scientist award for his work on multimodal learning forests. Currently, he is pursuing a PhD in Electrical Engineering at Stanford University. His research interests lie mainly in the field of machine learning circuits with focus on designing machine learning methods for resource-limited biomedical systems and devices.


Aidan Fitzpatrick
Aidan received his B.S in Electrical Engineering from the University of Massachusetts Amherst in 2018 where he worked on RF system and antenna design. He is now working toward the Ph.D. degree at Stanford University. His research interests are primarily in biomedical imaging, remote sensing, and electromagnetics.


Chengzhe Xu
Chengzhe received his Bachelor's degree in Microelectronic Science and Engineering from Fudan University in 2019. He is currently pursuing an M.S. in Electrical Engineering at Stanford University. His research interests include radar, camera and LiDAR perception, computer vision, and SLAM.


Arvind Srivastav
Arvind is currently pursuing his M.S. degree in Electrical Engineering at Stanford with depth in Signal Processing and Optimization. He received his integrated B.Tech. and M.Tech degree in Electronics and Electrical Communication Engineering from IIT Kharagpur, India in 2019, where he led projects on novel ultra-low-power biomedical signal processing and coded-pulsed MIMO ground-penetrating radar design. His research interests include hardware systems design, RF and mm-wave systems, resource-constrained machine learning methods, and novel signal processing algorithms design.
Alumni

Asish Koruprolu (MS, 2018-20)

Jerry Chang (PhD, 2013-19)

Babak Mamandipoor (Postdoc/Research Engineer, 2017-19)

Marcus Weber (PhD, 2012-18)

Jayant Charthad (MS, 2011-13; PhD, 2013-18)

Hao Nan (PhD, 2011-18)

Dr. Clément Jany (Postdoc, 2018)

Dr. Peter Kairouz (Postdoc, 2016-18)

Thomas Teisberg (Undergrad/Co-Term, 2017-18)

Annie Brantigan (Undergrad, 2017-18)

Dr. Nemat Dolatsha (Postdoc, 2013-17)

Sawson Taheri (Research and Development Scientist/Engineer, 2016-17)

Dr. Mojtaba Fallahpour (Postdoc, 2016-17)

Rex Garland (MS, 2017)

Dr. Baptiste Grave (Postdoc, 2014-16)

Nick Saiz (Eng. Degree, 2014)

Ashkan Eghtesadi (MS, 2014)

Mustafa Rangwala (MS, 2013)

Past Visiting Scholars

Professor Amirali Baniasadi (2016-18)

Yoshiaki Yoshihara (2016-17)

Dr. Hyo-Soon Kang (2016-17)

Parisa Momenroodaki (Visiting PhD Student, 2016)

Soheil Hor (Visiting MSc Student, 2015)

Dr. Hideaki Majima (2014)

Nemat Dolatsha (Visiting PhD student, 2012-13)

Past Summer/Visiting Students

Chengzhe Xu (2018) - Machine learning for detection and imaging

Yuji Sugimoto (2018) - Time-multiplexed mm-wave sensing systems

Anne Kil (2018) - Microfluidics for size-based cell sorting

David Kim (2018) - Holographic vs lens-based interferometric detection

Greg Junek (2017) - Point-of-Care Diagnostics

Tim Yao (2017) - Noncontact Thermoacoustic Imaging

Edith Gonzalez (2017) - IoT Platform

SiSi Li (2017) - Electrode Design for Selective Stimulation

Joseph Yen (2017) - Ultrasonic Energy Harvesting

Ke Wang (2017) - Thermoacoustic Temperature Monitoring

Yufei Hu (2016) - Ultrasonic Beamforming for Implantable Devices

Zhaokai Liu (2016) - Neural Stimulation

Jiaxing Geng (2016) - Ultrasonic Arrays

Aziz Yousif (2016) - IoT Devices

Adrian Alabi (2016) - Radar

Diego Arceo (2016) - IoT Devices

Vivian Wang (2015; winner of Churchill fellowship) - Biosensing

Benyamin Haghi (2015) - Medical Imaging

Zhi Bie (2015) - Imaging

Shiyu Liu (2014) - Imaging

Nattapoom Asavareongchai (2014) - Imaging

Mark Yoshitaro Nishimura (2014) - Imaging

Tzu-Chieh Chou (2013) - Imaging

Chris Vassos (2013) - Implantable Devices

Adebia Ntoso (2013) - Implantable Devices

Amir Kianpour (2012-3) - Ultrasonic Power Delivery to Implantable Devices

Mohamed Ismail (2012) - Ultrasonic Power Delivery to Implantable Devices

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