March 2017

Congratulations to Isha Datye and Alexander Gabourie on their winning poster, "Reduction of hysteresis in MoS2 transistors using pulsed voltage measurements". 


The Device Research Conference (DRC) brings together leading scientists, researchers, and students to share their latest discoveries in device science, technology and modeling. 2016 marked the 75th anniversary of the DRC — the longest running device research meeting in the world.



Transistors based on atomically thin two-dimensional (2D) materials like MoS2 have attractive properties for applications in low-power electronics. However, in practice their electrical measurements often exhibit hysteresis, masking their intrinsic behavior. In this study we used pulsed measurements to decrease hysteresis, examine charge trapping, and extract device parameters (like mobility) that represent the "true" behavior of 2D devices. Hysteresis is minimized even with modest ≤ 1 ms pulses, and the extracted mobility converges to a unique value, unlike the less reliable conventional methods which rely either on forward or reverse DC sweeps.

Link to paper

March 2017

Ning Wang, EE PhD candidate, received best paper and best poster awards at TECHCON 2016. The title of his paper is "GDOT: A Graphene-Based Nanofunction for Dot-Product Computation".

TECHCON is a technical conference and networking event for Semiconductor Research Corporation (SRC) members and students.

Ning Wang's research is in Physical Technology & Science and his advisor is Eric Pop.


Congratulations to Ning on his well-deserved recognition!


Though much excitement surrounds two-dimensional (2D) beyond CMOS fabrics like graphene and MoS2, most efforts have focused on individual devices, with few high-level implementations. Here we present the first graphene-based dot-product nanofunction (GDOT) using a mixed-signal architecture. Dot product kernels are essential for emerging image processing and neuromorphic computing applications, where energy efficiency is prioritized. SPICE simulations of GDOT implementing a Gaussian blur show up to ~10(4) greater signal-to-noise ratio (SNR) over CMOS based implementations - a direct result of higher graphene mobility in a circuit tolerant to low on/off ratios. Energy consumption is nearly equivalent, implying the GDOT can operate faster at higher SNR than CMOS counterparts while preserving energy benefits over digital implementations. We implement a prototype 2-input GDOT on a waferscale 4" process, with measured results confirming dot-product operation and lower than expected computation error.


February 2017

John Duchi has been selected as a 2017 Alfred P. Sloan Research Fellow in Mathematics. The Alfred P. Sloan Foundation is pleased to announce the selection of 126 outstanding U.S. and Canadian researchers as recipients of the 2017 Sloan Research Fellowships. The fellowships, awarded yearly since 1955, honor those early-career scholars whose achievements mark them as the next generation of scientific leaders.

"The Sloan Research Fellows are the rising stars of the academic community," says Paul L. Joskow, President of the Alfred P. Sloan Foundation. "Through their achievements and ambition, these young scholars are transforming their fields and opening up entirely new research horizons. We are proud to support them at this crucial stage of their careers."

Open to scholars in eight scientific and technical fields—chemistry, computer science, economics, mathematics, computational and evolutionary molecular biology, neuroscience, ocean sciences, and physics—the Sloan Research Fellowships are awarded in close coordination with the scientific community. Candidates must be nominated by their fellow scientists and winning fellows are selected by an independent panel of senior scholars on the basis of a candidate's independent research accomplishments, creativity, and potential to become a leader in his or her field.

Congratulations to John for this outstanding achievement!

The Alfred P. Sloan Foundation is a philanthropic, not-for-profit grant making institution based in New York City. Established in 1934 by Alfred Pritchard Sloan Jr., then-President and Chief Executive Officer of the General Motors Corporation, the Foundation makes grants in support of original research and education in science, technology, engineering, mathematics, and economics.


Alfred P. Sloan Foundation Press Release

February 2017

Excerpted from acting Dean Thomas Kenny's announcement:


Krishna Shenoy has been appointed as the inaugural Hong Seh and Vivian W. M. Lim Professor in the School of Engineering. This professorship was established with an endowed gift from Hong Seh and Vivian Lim

Krishna joined the Stanford faculty as an assistant professor in 2001, was promoted to associate professor in 2008, and has been a full professor at Stanford since 2012. He currently leads the Neural Prosthetic Systems Laboratory (NPSL) and co-directs the Neural Prosthetics Translational Laboratory (NPTL) with Professor Jaimie Henderson, MD. Krishna is a Howard Hughes Medical Institute (HHMI) investigator and currently serves on advisory boards for the National Science Foundation's Research Center for Sensorimotor Neural Engineering at the University of Washington, Heal Inc., and Cognescent Inc.

A senior member of the Institute of Electrical and Electronics Engineers (IEEE) since 2006, Krishna is also a fellow at the American Institute for Medical and Biological Engineering and an investigator for the Simons Collaboration on the Global Brain. He is a recipient of the McKnight Foundation's Technological Innovations in Neurosciences Award and the National Institutes of Health Director's Pioneer Award. Additionally, Krishna was awarded the Alfred P. Sloan Research Foundation fellowship in 2002 and the Burroughs Wellcome Fund Career Award in the Biomedical Sciences in 1999. He has also served on the Defense Science Research Council (DSRC) for DARPA and was elected a fellow of the DSRC in 2003.

Krishna received his bachelor's degree in electrical engineering and computer science from the University of California, Irvine, and his master's degree and PhD in electrical engineering and computer science from MIT, in 1992 and 1995, respectively. He was a postdoctoral scholar (1995 to 1998) and a senior postdoctoral scholar (1998 to 2001) in neurobiology at Caltech.

Krishna's innovative research, which blends a deep understanding of signal processing and neuroscience with techniques to build clinical innovations, makes him a deserving recipient of this endowed chair.


Please join us in congratulating Krishna on this well-deserved honor.


Related News:

Krishna Shenoy's translation device; turning thought into movement, March 2017.

Brain-Sensing Tech Developed by Krishna Shenoy and Team, September 2016.


February 2017

Tom Kailath has been selected as an Eminent Member of IEEE-Eta Kappa Nu (IEEE-HKN). The designation of Eminent Member is the organization's highest membership category and is conferred upon those select few whose outstanding technical attainments and contributions through leadership in the fields of electrical and computer engineering have significantly benefited society.

Eta Kappa Nu established the Eminent Member recognition in 1950 as the society's highest membership classification. It is to be conferred upon those select few whose attainments and contributions to society through leadership in the fields of electrical and computer engineering have resulted in significant benefits to humankind. Since 1950, only 134 individuals have been selected to receive this honor.

Designation of Eminent Member is the organization's highest membership category and is conferred upon those select few whose outstanding technical attainments and contributions through leadership in the field of electrical and computer engineering have significantly benefited society.

IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE, is dedicated to encouraging and recognizing individual excellence in education and meritorious work, in professional practice, and in any of the areas within the IEEE-designated fields of interest.


Please join us in congratulating Tom for this very well deserved honor.


Related News:

The President Awards the National Medal of Science to EE Professor Kailath, November 2014. Read article

Chan Zuckerberg Biohub includes four Stanford EE faculty
February 2017

Four EE faculty have been awarded an opportunity to join the Chan Zuckerberg Biohub, a project of the Chan Zuckerberg Initiative. The CZ Biohub vision is to find and support the best and brightest scientists, engineers and technologists. [To] foster an environment that emphasizes intellectual freedom and true collaboration. [To] provide the best scientific tools available – and when they don't exist, [to] invent them. (source:

"The research by these extraordinary scientists receiving CZ Biohub awards exemplifies the exciting opportunities that lie in collaborative research at the intersection of biology and engineering," states Marc Tessier-Lavigne, Stanford's President. "We look forward to the new discoveries benefiting human health that will be made possible by their collaborations."

The EE faculty currently involved are Adam de la Zerda, Ada PoonH. Tom Soh, and James Zou.


Chan Zuckerberg Biohub is a project of the Chan Zuckerberg Initiative. CZI is committed to harnessing the power of science, technology and human capacity to cure, prevent or manage all disease in our children's lifetime.

Working collaboratively is at the heart of everything Biohub is doing. It starts with bringing together—for the first time ever—three of the world's leaders in biomedical and engineering innovation: University of California, Berkeley, University of California, San Francisco and Stanford.

[The] three university partners provide the very backbone of Biohub's work. Investigators come from these outstanding research institutions, and their faculty will be an integral part of day-to-day operations at Biohub.



February 2017

Mingyu Gao (PhD '18) and co-authors received the acknowledgement at ISCA 2016. Their paper is titled, "DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric".

IEEE Micro will include a complete list of 2016's significant papers in its annual publication, "Micro's Top Picks from the Computer Architecture Conferences" in its May / June 2017 issue. The issue collects some of the year's most significant research papers in computer architecture based on novelty and potential for long-term impact. Any computer architecture paper (not a combination of papers) published in the top conferences of 2016 (including MICRO-49) is eligible. The Top Picks committee will recognize those significant and insightful papers that have the potential to influence the work of computer architects for years to come.



FPGAs are a popular target for application-specific accelerators because they lead to a good balance between flexibility and energy efficiency. However, FPGA lookup tables introduce significant area and power overheads, making it difficult to use FPGA devices in environments with tight cost and power constraints. This is the case for datacenter servers, where a modestly-sized FPGA cannot accommodate the large number of diverse accelerators that datacenter applications need.

This paper introduces DRAF, an architecture for bit-level reconfigurable logic that uses DRAM subarrays to implement dense lookup tables. DRAF overlaps DRAM operations like bitline precharge and charge restoration with routing within the reconfigurable routing fabric to minimize the impact of DRAM latency. It also supports multiple configuration contexts that can be used to quickly switch between different accelerators with minimal latency. Overall, DRAF trades off some of the performance of FPGAs for significant gains in area and power. DRAF improves area density by 10x over FPGAs and power consumption by more than 3x, enabling DRAF to satisfy demanding applications within strict power and cost constraints. While accelerators mapped to DRAF are 2-3x slower than those in FPGAs, they still deliver a 13x speedup and an 11x reduction in power consumption over a Xeon core for a wide range of datacenter tasks, including analytics and interactive services like speech recognition.


Congratulations to Mingyu and co-authors. His research advisor is Christos Kozyrakis

January 2017

This month's Electrical Engineering staff recognized for their outstanding effort include Marsha Dillon, Sue George, Kenny Green, and Teresa Nguyen. Each were nominated by peers, faculty and/or students for professionalism that went above and beyond their everyday roles. Gift card recipients continue to make profound and positive impact in EE's everyday work and academic environment.


Please join us in congratulating Marsha, Sue, Kenny, and Teresa. Excerpts from their nominations follow.


Marsha Dillon, Executive Assistant to the Chair

  • "Marsha was able to identify exactly what was needed by untangling a vague request, and identifying the actual goal."
  • "She never hands back a request; instead, she is always willing to help. She's a strong asset to EE."

Sue George, Administrative Associate, Computer Science

  • "Sue always makes time to answer questions; she is quick to followup, and willing to spend time finding an answer she doesn't know."
  • "It is always a pleasure to work with her."

Kenny Green, Facilities and Health & Safety Manager

  • "Kenny is always very helpful."
  • "He has been a great resource — especially with our new labs, greater number of students, and managing improvements and requests."

Teresa Nguyen, Student Financial Officer

  • "Teresa has a terrific understanding of Stanford's financial system. She also remembered my name!"
  • "She is extremely capable; I never worry about leaving things in her hands."


The Staff Gift Card Bonus Program is sponsored by the School of Engineering. Each year, the EE department receives several gift cards to distribute to staff members who are recognized for going above and beyond their role. Each month, staff are chosen from nominations received from faculty, students, and staff. Past nominations are eligible for future months.


Nominate a deserving staff person or group today! We encourage you to nominate individuals or groups that have made a profound improvement in daily work life. Each recipient receives a $50 Visa card. Nominations can be made at any time.

January 2017

Jonathan Fan was awarded the Presidential Early Career Awards for Scientists and Engineers (PECASE). This is the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers.

Announced by President Obama in early January, Fan and 101 other scientists and researchers were honored with the PECAS. "I congratulate these outstanding scientists and engineers on their impactful work," Obama said. "These innovators are working to help keep the United States on the cutting edge, showing that federal investments in science lead to advancements that expand our knowledge of the world around us and contribute to our economy."

Jonathan is an assistant professor and director of the ExFab at the Stanford Nanofabrication Facility. He recently won the prestigious 2016 Packard Fellowship in Science and Engineering, which funds the most promising early-career professors in fields ranging from physics and chemistry to engineering.

Two other Stanford faculty also received the Presidential Early Career Awards for Scientists and Engineers (PECASE): Jacob Fox, professor of mathematics, and Marco Pavone, assistant professor of aeronautics and astronautics.


Related news:


Amin Arbabian
January 2017

The Department of Energy (DOE) announced projects selected as part of the Rhizosphere Observations Optimizing Terrestrial Sequestration (ROOTS) program funding opportunity. ROOTS is a new program of the Energy Department's Advanced Research Projects Agency-Energy (ARPA-E).

Amin Arbabian's project, "Thermoacoustic Root Imaging, Biomass Analysis, and Characterization," has been awarded $2 million by the ROOTS program. The team also includes, (Pierre Khuri-Yakub EE, José Dinneny and David Ehrhardt, Carnegie Institution for Science) and will develop a non-contact, high throughput, thermoacoustic root imaging system where ultrasonic signals from roots are generated by radio signals and then recorded by a novel sensor array. The Stanford team will demonstrate use of the system across a variety of soil and root types in the field to map the root architecture of plants. If successful, the project will be the first low-cost, large-scale, field-based plant phenotyping solution for eventual use with a fully autonomous measurement system.

The Rhizosphere Observations Optimizing Terrestrial Sequestration (ROOTS) program seeks to develop advanced technologies and crop cultivars that enable a 50 percent increase in soil carbon accumulation while reducing N2O emissions by 50 percent and increasing water productivity by 25 percent. Since 2009, ARPA-E has funded over 400 potentially transformational energy technology projects.

ROOTS projects will tackle the growing problem of soil "carbon debt" by developing sensing technologies to help farmers choose crop varieties that better capture carbon molecules from the atmosphere and store them in their root systems.


Arpa-E Roots Program:

ROOTS program project descriptions (PDF) 


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