Seminars

Development of wearable light-based sensors for detection of postpartum hemorrhage in high- and low-resource settings
Dr. Christine O'Brien
Tue. June. 16

Translating Engineering Inventions in Wearable Devices and Biomedical Devices intoMarket-Ready Tech
Dr. Hakan Urey
Thur. June 4

Memory-Aware LLM Inference Processor Designs
Dr. Jae-Joon Kim
Tue. May 26

From Lab to Market: Building Lightfinder's Optical Sensing Platform
Dr. Diana Mojahed
Friday, May 8

Liquid Machine: A 15-year Journey Towards Software-Defined Everything
Dr. Jing Li
Thursday, Apr. 16

Physics-Inspired Computing Architectures for Optimization and High-Impact Applications
Evangelos Dikopoulos
Monday, Apr. 13

In-Radio Computing
Bal Govind
Thursday, Apr. 9

Cross-Domain Analogies in Photonic Time-Varying Media: Emerging Paradigms in Optics
Hadiseh Nasari
Monday, Apr. 6

All-Optical Recording and Control of the Mammalian Cortex
Dr. Alexander White
Thursday, Apr. 2

Building AI Systems for the Era of Experience
Dr. Ashwinee Panda
Thursday, Mar. 26

Inverse Design of Nonintuitive Radio Frequency Integrated Circuits
Vinay Chenna
Monday, Mar. 23

Cryogenic Integrated Circuits for Scalable Quantum Computers
Dr. Andrea Ruffino
Monday, Mar. 9

From Perception to Creation: Building Self-Evolving Multimodal Agents
Dr. Shilong Liu
Thursday, Mar. 5

Integrated Intelligent Sensor Systems
Dr. Efthymios Papageorgiou
Monday, Mar. 2

Acoustic Wave Microsystems for Chip-Scale RF and Optical Signal Processing
Dr. Siddhartha Ghosh
Thursday, Feb. 26

Powering Time-Sensitive Energy Applications with Advanced Dynamic Energy Management System (AD-EMS) in Microgrids 
Dr. Mo-Yuen Chow
Wednesday, Feb. 11

Engineering Light: New Frontiers in UV and IR Optoelectronic Devices
Dr. Leland Nordin
Friday, Feb. 6

Polarization-sensitive imaging of Uterine Cervical Structures to determine risk of preterm labor
Dr. Jessica Ramella-Roman
Wednesday, Dec. 17

Synthesis of 2D and Quantum Materials using AI/ML
Dr. Stephanie Law
Friday, Dec. 12

Scaling AI with Chiplet-Based Systems
Dr. Tony Chan Carusone
Wednesday, Dec. 10

The Evolution of mmWave Antenna in Package Toward a Connected Intelligent Future
Dr. Atom O. Watanabe
Friday, Nov. 21

Scalable detection, rectification and wireless harvesting in CMOs at mm-wave frequencies
Dr. Eran Socher
Friday, Nov. 14

Multi-channel Analog-to-Digital Conversation Using a Delta Sigma Modulator Without Reset and a Modulated-Sinc-Sum Filter
Dr. Nagendra Krishnapura
Friday, Oct. 24

BTC mining ASICs: Pushing the limits of ultra-low voltage and custom digital IC design
Dr. Christos Vezyrtzis
Friday, Oct. 24

Tunneling, Filamentary Conduction and Thermoelectricity at Small Scales, and Phase Change Memory
Dr. Ali Gokirmak
Tuesday, Oct. 21

Nissan Software- Defined Vehicles (SDV’s)
Dr. Luiz M Franca-Neto
Friday, Oct. 10

Space, Innovation, and the Future of Humanity
Dr. S. Somanath
Thursday, Oct. 2

Art by Humans and Machines
Dr. Larry O’Gorman
Thursday, Sept. 25

“Multibit Tilting PUFs (Physical Unclonable Functions) – where Process Variation is a Feature, not a Bug”
Dr. Joseph Shor
Thursday, Aug. 21

The Evolution of Processing Units: From CPU and GPU to NPU and QPU
Dr. Won Woo Ro
Thursday, Aug. 7

Pursuing the Nature of Intelligence
Dr. Yi Ma
Thursday, May. 1

Structural and Machine Health Monitoring Derived from Speaker Recognition Techniques
Prof. Homayoon Beigi 
April 24, 2025

Abstract: The latest advancements in structural health monitoring of bridges and machinery have a lot of in common with speaker recognition techniques.  Starting out as a mechanical engineer and having done considerable amount of machine health monitoring and prognosis in the mid-1980s, as well as neural network learning, control and signal processing, the speaker moved on to work in the handwriting, speaker, speech recognition fields, making a connection among these fields and health monitoring.  The similarities of these fields are explored and a summary of the research of the last decade in conjunction with the civil engineering department of Columbia University are discussed.  Cepstral analysis and deep neural networks originally designed for speaker and speech recognition are at the heart of the techniques that are in this research effort that began over a decade ago.  Realizing the similarities in the vibration of structures, such as bridges and buildings, machinery, such as gear-meshes and bearings, and the human vocal tract kicked off this multi-disciplinary effort. Some techniques developed in this approach are shown together with results for health monitoring and structural damage detection. The current affiliates in this research, Raimondo Betti (Prof. of Civil Eng.), Azin Mehrjoo (PostDoc), and Kyle Hom (4th year Doctoral Student) will be at the seminar and available for discussions.

Bio: Homayoon Beigi is a Professor of Professional Practice in the departments of mechanical engineering and electrical engineering.  He earned his BS, MS, and Doctorate from Columbia in 1984, 1985 and 1991 respectively.  The author of the first and only comprehensive textbook on Speaker Recognition, for over three decades he has been involved in research and development in learning-adaptive control, neural network learning, biometrics, speech, speaker, face, object, emotion, and language recognition, as well as Internet-Commerce, and more.  As the president of Recognition Technologies, Inc. for 22 years, he developed the multiple award-winning RecoMadeEasy®  Recognition Engine and CommerceMadeEasy® software.  As an Adjunct Professor at Columbia for thirty years, he taught in the ME, EE, and CS departments and advised PhD students in civil. In 2023, he was selected as one of only 11 finalists for the 5 Presidential Awards for Outstanding Teaching.  He was a Research Staff Member at the IBM T.J. Watson Research Center from 1991 to 2001, working on handwriting, speaker and speech recognition. He is the recipient of three best paper awards from IEEE and Society of Experimental Mechanics, 13 issued patents and over 120 peer-reviewed publications.

Architecting High-Speed SerDes Transceivers in Advanced CMOS Technologies
Dr. Ajay Balankutty 
April 18, 2025

Design of Robust Frequency Generation and Modulation Circuits for Low-Voltage Mobile IoT
Dr. Woogeun Rhee
April 11, 2025

Visually Elicited Physical Intelligence 
Dr. Bingyi Kang
April 3, 2025

From Language to Silicon: Programming Systems for Sparse Accelerators
Dr. Olivia Hsu
April 8, 2025

Abstract: In this era of specialization, modern hardware development focuses on domain-specific accelerator design due to the plateau in technology scaling combined with a continual need for performance. However, domain-specific programming systems for these accelerators require extreme engineering effort, and their complexity has largely caused them to lag behind. Fundamentally, the widespread usability, proliferation, and democratization of domain-specific accelerators hinge on their programming systems, especially when targeting new domains. This talk presents research on accelerator programming systems for the emerging domain of sparse computation. The first system, the Sparse Abstract Machine (SAM), introduces a unified abstract machine model and compiler abstraction for sparse dataflow accelerators. SAM defines a novel streaming representation and abstract dataflow interfaces that serve as an abstraction to decouple sparse accelerator implementations from their programs, similar to a stable ISA but for dataflow. The second system, Mosaic, introduces modular and portable compilation solutions that can leverage heterogeneous sparse accelerators and high-performance systems within the same system. These systems are a first step towards usable and programmable heterogeneous hardware acceleration for all. I will conclude by discussing the next steps to reach this goal, which include programming systems for accelerators in other domains and interoperation between accelerators across domains.

Bio: Olivia Hsu is a final-year Ph.D. candidate at Stanford University in the Department of Computer Science, advised by Professors Kunle Olukotun and Fredrik Kjolstad. She received her B.S. in Electrical Engineering and Computer Science (EECS) at UC Berkeley. Her broad research interests include computer architecture, computer and programming systems, compilers, programming languages, and digital circuits/VLSI. Olivia is a 2024 Rising Star in EECS and an NSF Graduate Research Fellow, and her research won a distinguished paper award at PLDI 2023. To learn more about her work, please visit her website at https://cs.stanford.edu/~owhsu.

Data Science for Human-level Robotic Manipulation
Dr. Haoshu Fang
March 25, 2025

Empowering the Next Billion Devices with AI
Prof. Mi Zhang
March 25, 2025

Abstract: The proliferation of edge devices and the gigantic amount of data they generate make it no longer feasible to transmit all the data to the cloud for processing. Such constraints fuel the need to move the intelligence from the cloud to the edge where data resides. In this talk, I will present our works on how we bring the power of AI, in particular, deep learning, to edge devices to realize the vision of Artificial Intelligence of Things (AIoT). This talk consists of two parts. The first part focuses on how we address some of the most fundamental problems that act as the key barriers of achieving the vision of AIoT. First, I will present our work on designing adaptive frameworks that empower AI-embedded edge devices to adapt to the inherently dynamic runtime system resources in real-world deployments. Second,I  will talk about our work on developing automated machine learning (AutoML)frameworks that provide an automated and scalable solution to the device deluge challenge in AIoT. In the second part of this talk, I will present how we use AI as the core component to design AIoT systems for a broad range of problem domains. I will focus on one killer application of edge computing, and present an AI-empowered distributed edge system for low-latency, high-throughput, and scalable live video analytics. Finally, I will talk about our work on spatial computing, which pushes the frontier and opens up new opportunities of AIoT research.

Bio: Mi Zhang is an Associate Professor and the Director of AIoT andMachine Learning Systems Lab at The Ohio State University (OSU). He received his Ph.D. in Computer Engineering from University of Southern California (USC)and B.S. from Peking University, and spent one year as a Postdoctoral Associate at Cornell University. The key mission of his lab is to Empower Billions of Everyday Devices with AI to realize the vision of Artificial Intelligence of Things. To achieve this mission, he and his students focus on its core challenges related to sensing, intelligence, connectivity, efficiency as well as its real-world applications. Dr. Zhang’s work has been recognized by seven best paper awards and nominations, NSF CRII Award, Facebook/Meta Faculty Research Award, and Amazon Research Award. He is the 4th Place Winner of the GoogleMicroNet Challenge, the Third Place Winner of NSF Hearables Challenge, and the Champion of NIH Pill Image Recognition Challenge. He is also the recipient of the inaugural USC ECE SIPI Distinguished Alumni Award in the Junior/Academia category for his contributions to mobile computing, edge AI, and AIoT in his early career.

Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI
Dr. Simran Arora
February 25, 2025

Driving the Future: Enabling Electric Vehicles and Hyper-Efficient Data Centers through Advanced Power Electronics
Dr. Logan Horowitz
February 13, 2025

Scalable Nanomanufacturing for Next Generation Electronics and Energy Devices
Dr. William Scheideler
January 16, 2025

Developing Next-Generation OLED Materials and Technologies
Dr. Eric Margulies
Nov. 18, 2024

Ender’s Game: Architectural Techniques to Develop Scalable and Secure Memory Systems
Dr. Prashant Nair
Nov. 14, 2024

Puzzle-solving Bumblebees show a Capacity for Complex Learning Shaped by Observer and Demonstrator Characteristics
Dr. Alice D. Bridges
Nov. 7, 2024

On designing light-weight deep networks for diverse image restoration tasks
Dr. Se Young Chun
Oct. 10, 2024

Network Monitoring in the Programmable Switch Data-Plane 
Mun Choon Chan
September 8, 2023

Energy-efficient photonic convolution enabled by photonic frequency engineering
Lingling Fan
September 13, 2023

Neuromorphic Intelligence: mixed-signal spiking neural networks for on-line sensory processing at the edge
Giacomo Indiveri 
October 6, 2023

Model-free RL for constrained MDP: Theory and Practice
Arnob Ghosh
October 11, 2023

Listening to colors: photoacoustic imaging for intervention guidance and tissue characterization
Gijs van Soest
November 6, 2023

On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks
Qing Qu
November 10, 2023

Learning and Control for Safety, Efficiency, and Resiliency of Cyber-Physical Systems
Fei Miao
November 15, 2023

Label-free Multimodal Optical Imaging for Translational Medicine
Hongki Yoo
November 21, 2023

Cosmic Backscatter and other ways to communicate by modulating noise
Joshua R. Smith
December 5, 2023

Bridging speech science and technology—now and into the future
Shrikanth Narayanan
December 5, 2023

Design Flow Tuning for Optimizing Industrial Server Processors and AI Accelerators
Matthew Ziegler
April 29, 2022

Getting Rid of RF Power Echoes: Reflectionless RF Filtering Devices for Emerging Wireless Systems
Roberto Gómez-García
May 3, 2022

Nanophotonics and Plasmonics for Understanding Quantum Materials and Enabling Quantum Technologies
Laura Kim
February 1, 2021

On the Power of Randomization for Scheduling Real-Time Traffic in Wireless Networks
Theophilus Benson
February 11, 2021

On the Power of Randomization for Scheduling Real-Time Traffic in Wireless Networks
Javad Ghaderi
February 16, 2021

Sizing and Management of Storage in the Smart Power Grid
Jayakrishnan Nair
February 23, 2021

6G – Yes 6G! The Radio Interface – Modulations
Irving Kalet
October 1, 2020

The Synthetic Control Method: An application to the analysis of COVID spread
Vishal Misra
October 16, 2020

The Design of the First Autonomous, Insect-Scale Flying Robots
Elizabeth Farrell Helbling
March 4, 2020

Pushing the Limits of Single-Molecule Microscopy
Adam Backer
March 9, 2020

Fertilizing AI Revolution: From Data Acquisition to Connectivity
Xiyuan Tang
March 11, 2020

Joint Wireless Communication and Sensing in mmWave and Terahertz Spectrum
Yasaman Ghasempour
March 23, 2020

Emerging Nano-Design: Finding the Path for Next-Generation Computing Systems
Gage Hills
March 25, 2020

Probing Biology in the Native State: From Long-Term Brain
Electrophysiology to Subcellular Dynamic Imaging
Tian-Ming Fu
March 27, 2020

Software Defined Electronic Systems: From Architecture Innovations to Design Automation
Shiyu Su
March 30, 2020

Building Distributed Systems Using Programmable Networks
Ming Liu
April 1, 2020

New Compilation Techniques for Reconfigurable Analog Computers
Sara Achour
April 6, 2020

Fall

Circuits and Systems for In-Band Full-Duplex Applications
December 6th, 2019
2:00-3:00
CEPSR 414
Speaker: Kenneth Kolodziej, MIT Lincoln Laboratory

Power Converters for Servers and Data Centers
November 22, 2019
2:00-3:00
CEPSR 414
Speaker: Dr. Xin Zhang, IBM

Some Statistical Results on Deep Learning: Interpolation, Optimality and Sparsity
November 22, 2019
3:00-4:00
EE Conference Room, 13th Floor MUDD
Speaker: Prof. Guang Cheng

Accelerating Data-Driven Agriculture with Wireless Sensing
November 15, 2019
11:00 - 12:00
EE Conference Room, 13th Floor MUDD
Speaker: Colleen Josephson, Electrican Engineering, Stanford University

Wave Control via Metasurfaces, Modulation, Non-Linearities, and Mode Selection
November 8, 2019
2:00-3:00
CEPSR 414
Speaker: Dr. Jason Soric, Raytheon

Opportunities and Challenges for Spin Qubits in Silicon
November 6, 2018
10:00 - 11:00
EE Conference Room, 13th Floor MUDD
Speaker: Edward H. Chen

Low-Precision Neural Network Design Towards 4-bit MobileNet
October 18, 2019
11:00-12:00
CEPSR 414
Speaker: Prof. Sungjoo Yoo, Seoul National University

Implantable Electronics for Highly Parallel Neural Interfaces
October 9, 2019
2:00-3:00
Mudd 1300
Speaker: Prof. Maurits Ortmanns, University of Ulm

Bigger, Better, Faster, Stronger: Designing Networked Storage Systems for Hyper-scale Applications
April 3, 2019
10:00am
CEPSR 750
Speaker:  Asaf Cidon
 

Fundamental Limits and Practical Algorithms in Inference: From Communications to Learning
April 1, 2019
10:00am
CEPSR 750
Speaker: Marco Mondelli

An Aggregative Game Framework For the Analysis of Socio-Technical Systems
March 28, 2019
10:00am
EE Conference Room (1300 Mudd)
Speaker: Francesca Parise

Blockchains and Beyond: Algorithms for Emerging Paradigms in Networked Systems
March 25, 2019
10:00am
CEPSR 750
Speaker: Shaileshh Bojja Venkatakrishnan

Decarbonizing the Power Sector via Optimal Control of Energy Storage
March 14, 2019
2:00pm
CEPSR 750
Speaker: Bolun Xu

Estimating the Flow of Information in Deep Neural Networks
March 11, 2019
10:00am
CEPSR 750
Speaker: Ziv Goldfeld

A Framework for Private, Distributed, and Safe Autonomous Systems
March 7, 2019
10:00am
CEPSR 750
Speaker: James Anderson
Faculty host: Prof. Predrag Jelenkovic

Integrated Control of Cyber-Physical Infrastructure
March 4, 2019
10:00am
CEPSR 740
Speaker: Changhong Zhao
Faculty host: Professor Gil Zussman

Controlling Nanoscale Materials for Light and Energy
February 25, 2019
10:00am
CEPSR 750
Speaker: Dan Congreve
Faculty Host: Prof. James Teherani

Optimizing Information Freshness in Wireless Networks
February 21, 2019
12:00pm
Computer Science Building 480
Speaker: Prof. Eytan Modiano, Laboratory for Information and Decision Systems, MIT

Cloud Radio Access Networks, Distributed Information Bottleneck, and more: A Unified Information Theoretic View
February 19, 2019
2:00pm
EE Conference Room, Mudd 1300
Speaker: Prof. Shlomo Shamai
Technion Distinguished Professor, and the William Fondiller Chair of Telecommunications
The Viterbi Faculty of Electrical Engineering, Technion-Israel Institute of Technology

System-level Thermal Modeling and Power/Thermal Management for Mobile Devices
February 15, 2019
2:00pm-3:00pm
EE Conference Room (Mudd 1306)  
Speaker: Prof. Sung Woo Chung

A Modular Platform for Nanopower Computing
January 30, 2019
2:00pm
EE Conference Room, Mudd 1306
Speaker: Pat Pannuto, PhD student at the University of California, Berkeley

CS/EE Networking Seminar: Economic Thinking of Communication Networks
November 14, 2018
3:00 - 4:00pm
EE Conference Room, 13th Floor MUDD
Speaker: Jianwei Huang, Professor and Director of the Network Communications and Economics Lab in the
Department of Information Engineering at the Chinese University of Hong Kong (CUHK)

Sense, Collect & Move Data Seminar: Capitalizing on the Cellular Technology – Opportunities and Challenges for Near Ground Weather Monitoring
November 8, 2018
2:00 - 3:00pm
EE Conference Room, 13th Floor MUDD
Speaker: Professor Hagit Messer, School of Electrical Engineering, Tel Aviv University, Israel

CS/EE Networking Seminar: Disaster Recovery Design in Cloud Cyberinfrastructures
October 22, 2018
11:00am
CS 488
Speaker: Nasir Ghani, Professor of Electrical Engineering, University of South Florida and Research Liaison for Cyber Florida

The Process of Making Breakthroughs in Engineering
September 25, 2018
2:00pm
Davis Auditorium
Speaker:  Thomas Kailath, Hitachi America Professor of Engineering, Emeritus, Stanford University

Coherent Hybrid Massive MIMO for Advanced 4G/5G Radio Access Networks
September 21, 2018
2:00pm
750 CEPSR
Speaker:  Dr. Mihai Banu Founder, CTO & VP R&D Blue Danube Systems, Warren New Jersey