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Electrical Engineering Department
Welcome to EE Research DayJune 23rd 2014
Prof. Moshe Nazarathy נצרתימשה
Head: Industrial Affiliates Program (IAP)
להנדסת חשמלסביב הפקולטה " השבט התעשייתי"תכנית
Electrical Engineering Department
The Electrical Engineering Department
Vision
• A top-tier, broad coverage research and education department, dedicated to the creation of knowledge and the development of human capital and technological leadership, for the advancement of the State of Israel and all humanity.
MISSION:Serve the industry via best ECE Research & Education
Electrical Engineering Department
The Electrical Engineering Department
International Review Committee - 2009• Rafael Reif - (Chair), President of the MIT; previously Provost of the MIT
• Leonard Kleinrock - Dist. Professor UCLA – an Internet pioneer
• Sergio Verdú - Princeton, Shannon Award – Information Theory
• Stepháne Mallat - Ecole Polytechnique and NYU - wavelets
• Ehud Heyman - Dean of Eng., Tel Aviv University – wave propagation
Electrical Engineering Department
The Electrical Engineering Department
International Review Committee Report (2009)Chaired by Prof. Rafael Reif - President, MIT
• “The EE department at the Technion is a world class academic unit” … “and in the same league as the 10 highest-ranked departments in the US.”
• “The faculty, the technical staff, and the undergraduate and graduatestudents, are among the best that can be found in a top ranked institution anywhere in the world.”
• “The education of the undergraduate EE students at the Technion receive
is, simply stated, outstanding.”
• The graduates of this Department, whether with a B.Sc., M.Sc., or Ph.D.,
are as well prepared (if not better prepared) as EE graduates
in any top ranked institution anywhere in the world.
• “The undergraduate laboratories are absolutely superb”.
Electrical Engineering Department
About the EE Department- Vital Statistics
• Faculty Members: 47 • Technical & Administrative Staff: 80• Students: ~ 2100
– Undergraduate students: > 1700 • 220 in EE-Physics Program (dual degree)• 320 in Computer & Software Eng. + EE-CS T
– Graduate students: 439• 86 PhD (59 full-time)• 353 MSc (94 full-time)
• Research Centers: 13– Laboratories: 19
Electrical Engineering Department
Recent Achievements Highlights
Major International Awards:
• 2014 Prof. Gad Eisenstein - recipient of the IEEE IPS Streifer Scientific Achievement Award.• 2014 Prof. Shlomo Shamai - recipient of the Rothschild prize• 2013 Prof. Shlomo Shamai elected Foreign Associate of the United States Academy of
Engineering• 2012 Prof. Robert Adler wins an ERC Advanced Grant• 2012 Prof. Shie Mannor wins an ERC Starting Grant• 2012 Prof. Yonina Eldar joins the Young Israel Academy of Sciences and Humanities• 2012 Prof. Gadi Eisenstein foreign member-Instituto Veneto di Scienze, Lettere ed Arti. • 2012 Prof. Shlomo Shamai joins Israel Academy of Sciences and Humanities• 2011 Prof. Yonina Eldar receives Weizmann award + BSF Transformative Science Award• 2011 Prof. Shlomo Shamai IEEE Information Theory Society Shannon Award• 2009 Prof. Yoram Moses awarded Dijkstra Award in distributed computing• 2008 Prof. Jacob Ziv receives BBVA Frontiers of Knowledge Award. Developed
breakthrough theory and data compression algorithm
Electrical Engineering Department
Other Recent Highlights
Faculty recruitment
• 11 Alon Fellowships in 11 years – מלגה יוקרתית לקליטת סגל צעיר מצטיין
• Recruited faculty from Berkeley, CalTech, Barcelona, Austin, Yale, Toronto. Cornell,UCSD,Phillips
• New faculty: Dr. Guy Bartal (Berkeley), Dr. Yuval Cassuto (CalTech), Dr. Yoav Etsion (Barcelona Supercomputing Center), Dr. Guy Gilboa (Philips), Dr. Mark Silberstein (Austin, TX), Dr. Ronen Talmon (Yale), Dr. Alex Hayat (Toronto), Dr. Daniel Freedman (Cornell),Dr. Ido Tal (UCSD), Dr. Guy Gilboa (Phillips)
Electrical Engineering Department
Activity Areas In Research & Education
Electronics
• Devices
• OptoElectronics
• Electrodynamics
• Organic Electronics
• Microelectronics
• Nanoelectronics
• Advanced Circuits
• Solar (photovoltaic) cells
Computer Engineering
• Networking
• Parallel Systems
• Distributed Systems
• VLSI
• Computer Vision
• Software
• Multi-core
• Network on Chip
• Cloud Computing
Comm. & Information
• Wireless, satellite,optical
• Information Theory
• Signal Processing
• Wave Propagation
• Control & Robotics
• Machine Learning
• Biological Nets
Electrical Engineering Department
Our 19 Labs – a pictorial tour…
Electrical Engineering Department
3 Labs in networkingand distributedcomputing
Electrical Engineering Department
2 Labs in photonics
Electrical Engineering Department
…2 more Labs in photonics
Electrical Engineering Department
2 Labs in communication andhigh-speed digital systems
Electrical Engineering Department
2 Labs in electro-magnetics
Electrical Engineering Department
Signal Acquisition Measurement and Processing Lab
4 Labs in signal / image / video processing& computer graphics
Electrical Engineering Department
2 labs in devicemicro-electronics
Electrical Engineering Department
…2 more labs in devicemicro-electronics
Electrical Engineering Department
2 labs in control/robotics and networked biology
Electrical Engineering Department
Research Centers• Technion Computer Engineering Center (TCE), jointly with CS Technion
• Focus Technology Area (FTA):Nanophotonics for Detection and Sensing Center
• The Sara and Moshe Zisapel Nano Technology Center
• Microelectronics Research Center
• The Andrew and Erna Finci Viterbi Computech Center
• The Barbara and Norman Seiden Advanced Optoelectronics Center
• The Irwin and Joan Jacobs Center for Communications and Information Technologies (CCIT)
• The Ollendorff Minerva Vision & Image Sciences Research Center
• VLSI Systems Research Center (Shared with CS)
• Advanced Circuits Research Center (ACRC)
• The Lorry I. Lokey Advanced Network Biology Research Laboratories
• Russell Berrie Nano-technology Institute (RBNI)- virtual institute coordinating all nanoscience activities on campus
• Intel Science and Technology Centers and Intel Collaborative Research Institutes (ICRI-CI) Machine Learning + Computer Architecture
hosts the Industrial Affiliates Program (IAP) activity
Electrical Engineering Department
Collaboration with Industry:Industrial Affiliates Program (IAP)
סביב הפקולטה להנדסת חשמל" השבט התעשייתי"תכנית
Electrical Engineering Department
Industrial Affiliates Program (IAP)
MISSION
• Promote cooperation and information flow between theacademic research staff and the high-tech industry.
• Provide technological and scientific depth to the Industry tocontribute to competitive edge via innovation.
• Enable enhanced interaction and facilitate privileged access to ourindustrial affiliates
Win - Win
Electrical Engineering Department
I am one of you…
Electrical Engineering Department
Moshe Nazarathy Bio
• Moshe Nazarathy is a professor with the Electrical Engineering Department of the
Technion, Israel Institute of Technology, a senior member of IEEE (SM’05) and a member
of OSA.
• He was a visiting associate professor with the same department during 2002-2007.
Moshe obtained B.Sc. cum laude and Doctor of Science EE degrees at the Technion.
• From 1982 to 1984 he held a post-doctoral position at Stanford University's Information
Systems laboratory.
• From 1984 to 1988 Moshe was with Hewlett Packard's Photonics and Instruments
Laboratory, attaining the rank of Principal Engineer.
• He co-founded Harmonic Inc. (HLIT:NASD), served as Senior VP R&D, and corporate CTO,
and was a member of Harmonic's board of directors from 1988 to 2001 and a General
Manager of the company's Israeli subsidiary.
• Moshe also serves as a Venture Partner with Giza Ventures a leading VC firm in Israel,
and served on the advisory board of several start-up companies
Electrical Engineering Department
ddd
Moshe Nazarathy & Josef Berger (Palo-Alto ~1988)Harmonic Lightwaves co-founders
Electrical Engineering Department
San Jose CA, USA, 2014
>1200 JOBS CREATEDin the US, Israel (>200) and ROW• start-ups spun-off: AMBA,Aurora
VAL~$1BSALES~$0.5B
PROFIT~$30M HLIT on NASDAQ
Electrical Engineering Department
Electrical Engineering Department
Industrial Affiliates Program (IAP) Members
"השבט התעשייתי"חברי
Electrical Engineering Department
Collaboration with IndustryCollaboration Venues• Joint graduate-students supervision
• Mutual access to equipment / infrastructure
• Directly funded research
• Joint participation in third-party funding (FP7) and government programs (e.g., consortia)
• Peer collaboration
• License/Purchase IP
• Activity here on Company’s platform + joint publications
• Influence teaching programs; teach courses; enhance managerial/entrepreneurial education
• Symposia / Workshops / Seminars / Short courses
• Topical Research Centers ; regular meetings or events
• Undergraduate Student Projects mentoring
• Structured Consulting; Sporadic mini-consulting – the “confession” model
• On-going interactive exchanges between Industry people grad students & faculty.Industry people embedding: in our EE group meetings, corridors and research centers.
• Company recruiting – privileged access to brightest (under)grad students (head-hunter’s dream)
• Industrial Advisory Committee. Other coop modes ? We are anxious to get your feedback
A Multi-Faceted Relationship
Electrical Engineering Department
Your involvement via “EE embedding”
• Yes, you are busy and focused but you can’t be targeted all the time, just be 80% targeted…
– consider mild versions of Google’s “80% targeted / 20% anything” model; select desirable dosage of academia-interaction.
• Our undergrad students fan-out their horizons, our grad students zoom in on specific topics but again fan-out theirhorizons within their sub-spaces, studying all methodologies in the literature, generating cutting edge research;
• But once they come to you, they fan-in-in-in….focus-focus-focus; this is great for short term results; but it leads tofixed conceptions ( מחשבתיקבעון) deeply engrained, specific to your organization: “The Innovator’s dilemma”.
• You feel your focused tactics are great but now you “have a thinking out-of-the-box problem”. To mitigate it, youoccasionally lock-in your people in fancy hotels for brainstorming retreats, to induce fresh thinking, but typicallythere are no lasting effects. Finally you import innovation via an expensive acquisition and its problematic digestion.
• But there might be another way. The academia may be your silver platter platform...
• Let’s create multiple joint mini-frameworks for open brainstorming and exploration of concepts, approaching openproblems from new angles than possible in your world. Let this process flow and you might be surprised that thismay yield a low-cost approach to the “innovator’s dilemma”.
• BTW, the process should be lawyers-free, IP-burden free. Possible due to asymmetry of industry-academia agendas.
• We propose: Industry people embedding: in our group meetings, corridors and research centers;on-going interactive exchanges: Industry people Grad students & Faculty members.
• 95% of these processes will likely lead to nothing – but let them flow…5% may have impact or be even transformative(at the very least, you will get an insider’s assessment of our best grad students and will be able to hire them).
• Students internship in the industry is an increasingly widespread model; but how about conversely:internship of industry in EE?
• Action: let’s make embedding happen on a trial basis initially: please identify your faculty member partners andappoint your academic affiliate(s) in your organization, to accompany us in EE on an on-going basis. ...חניהלהםנסדר
•
Electrical Engineering Department
Company recruiting – privileged access for IAP membersto brightest (under)grads
• The primary task in any company is organization building: hiring promising candidates who may eventually become key people in the organization. The right “disruptive” or “transformative” individuals have the potential to alter the destiny of your company!
– Can you think of examples of “disruptive individuals” in your organization? How about the other side of the coin, “distructive individuals” (which may have started with promise)?
– Do you think your HR organization with its conventional array of tools is equipped to identify these “transformative people” and filter them in? Do you think that the classic interview ritual properly screens candidates and predicts their future performance/impact?
• EE faculty will enable/facilitate contact between the IAP members and exceptional (under)grads, including “eye-opening” mutual recommendations.
– undergrads: Our objective measures of their performance may be shared with IAP members, given the candidates’ consent– legal “inside information”, even a year or two in advance of their graduation.
– grads: Our PhD/MSc are the pool from which the “transformative” individuals are to be selectively hand-picked.
• Once subscribed to the IAP, by embedding your people within the EE faculty, you get continued exposure to the best PhD/MSc and prolonged assessment of their talents.
• Compared to conventional modes of recruiting (web/paper ads, head-hunters) the IAP membership incurs a negligible fraction of the cost.
• IAP membership should be recognized by GMs /HR executives / R&D executives as the most effective method to reach disruptive candidates with outstanding potential.
Electrical Engineering Department
Undergraduate Student Projects
1st prize, world-wide TI DSP & Analog Challenge, 2000/01
Real-Time Digital Watermarking for Audio Signals
A highlight of our engineering education that we take pride in
• 1-2 semester-long projects (in 14 different R&D labs) at the forefront of technology.
• The projects involve about 800 person-semester / year.
• Implementation (Sim/SW/HW) of multiple stages of well defined, typically highly innovative, engineering project targets.
• >60 projects per year in cooperation with the hi-tech industry.
• Industry-originated project mentors are welcome – distill your industrial problem into a project formulation and be amazed…
• Most projects are mentored by graduate students in conjunction with their thesis research.
• Projects also aided / mentored by our experienced Lab engineers.
• National and international recognition.
Electrical Engineering Department
הפרויקטים שעלו לגמר התחרות
Sub-Nyquist Cognitive Radio Systemאותותהמעבדה לחישה מידול ועיבוד
Thermal Antenna and ROIC for Passive THz Security Screening System
-להמעבדה VLSI
Dynamic Hardware Reconfiguration Controlled by
LINUX OS
למערכות ספרתיות מהירותהמעבדה
ש "פרסים על"כשר זיהורז
ד"תשעהפקולטיגמר תחרות הפרויקט המצטיין
1003אודיטוריום, 12:00-14:45, 23/6/14שני יום
“Best undergraduate project of the year” Contest
1st prize
Electrical Engineering Department
Confidential 38
25cm
Patent PPatent Application No. 20110304508 Patent Status: Allowed endingARTsys360 Ltd. working prototype 2014
EE ComLab prototype 20111st prize in 2011 “best project competition”
Electrical Engineering Department
ARTSYS 360°Advanced Radar Technologies
Electrical Engineering Department
Workshops and Seminars
2013 / 2014
• Green photonics Symposium, April 23-24,2014
• The Design and Productization of Digital PR Tranceivers ICS intensive 2-day course, Mar 12-13, 2014
• Micro-Nano Electronics, January 27, 2014
• Workshop on Information Theory, Communication and Coding, Dec 29, 2013
• Intel’s annual symposium on VLSI CAD and Validation, Oct 02, 2013
• High-Speed Electrical Interface Circuit Design, Sep 08, 2013
• Microwave Integrated Circuits and Systems two-day program, July 2013
• On-Chip Power Delivery and Power Management, May 2, 2013
• GPGPU, April 25, 2013 (TCE event)
• The 3rd Annual International TCE Conference, May 28 - 29, 2013
• The 2nd Technion THz Imaging Workshop, March 4, 2013
Electrical Engineering Department
Our Needs
• Your involvement – yes, you are busy and focused but please considera mild version of Google’s “80% targeted / 20% anything” model– please appoint your academic affiliate(s) to accompany us in EE.
• Funding and equipment – vital for us; the funds are put to excellent use tosustain and improve the level and preparation of your future recruits andpromote industry-impacting research.
• Awareness of true needs and interesting problems.
• Access to information (e.g. requirements definition) and platforms.
• Stimulating collaboration – leverage complementary capabilities.
• Industry-originated (undergraduate) projects initiation and mentoring.
• Assist in persuading students that advanced degrees pay off in industry,besides academic track!
Electrical Engineering Department
...ההון האנושי הבכיר שלנו
Electrical Engineering Department
Robert AdlerPortrait
Probability/Statistics, Stochastic Processes, Random Topology.
Theory and applications of random process, fields and topology. Areas of existing applications include:
Statistical analysis of fMRI images. Mapping of functional areas in the brain.
Modelling and analysis of galactic and cosmic microwave background phenomena.
Development of new tools via algebraic topological methods for large data sets.
Electrical Engineering Department
Robert Adler
Theory and applications of random process, fields and topology. Areas of existing applications include:
Statistical analysis of fMRI images. Mapping of functional areas in the brain.
Modelling and analysis of galactic and cosmic microwave background phenomena.
Development of new tools via algebraic topological methods for large data sets.
Probability/Statistics, Stochastic Processes, Random Topology.
Electrical Engineering Department
Rami Atar
Theoretical and Applied Probability
On the applied side: Solving problems that are impossible to solve exactly
Tools:
• Stochastic process approximation and asymptotics; optimal control theory
• Applications: optimal dynamic routing in cloud computing, in call centers, and more.
Stochastic Processes, Control Theory and Asymptotics
Electrical Engineering Department
• Surface plasmon waves and resonant metamaterialcoupling to intersubband transitions for enhanced tunablemultispectral imaging from near IR to THz range.
• Controlled light-matter coupling through deterministic positioning of a quantum dot in a photonic microcavity
• High power GaN on Si based devices.
Gad Bahir
Nano-structure based devices
Electrical Engineering Department
Guy Bartal
Interactions between light and nanostructures
optical devices in dimensions that are much smaller than the wavelength (not quite allowed by fundamental physical laws)
Super resolution imaging
Miniaturized photonic integrated circuits
Nano Electronics and nonlinear optics
Electrical Engineering Department
Explore various facets of computer and communication systems with a data-centric focus. E.g, enhance communication capabilities of storage systems.
Multi-disciplinary, out of the box approaches
Recurring theme: judicious exploitation of redundancy for performance enhancement.
Computer, Storage, communications Systems
Yitzhak Birk
Electrical Engineering Department
• MEMS sensors• Superconducting devices• Magnetometry with NV centers in diamond
Eyal Buks
Nano-electronics and quantum devices
Electrical Engineering Department
Yuval Cassuto
• developing novel information structures with potential to fundamentally change the way information systems work.
• There are a variety of applications benefiting from clever constructive reasoning about the information that they carry: computers, storage devices, networking equipment, distributed systems and others.
• Our tools are likely to offer better performance to any system facing some tradeoff between transmission/storage costs, access efficiency, reliability, and implementation complexity.
Novel information structures
Electrical Engineering Department
Israel Cidon
Network on Chip (NoC)
• Connect the thousands autonomous units within a
silicon chip
• Considerably save chip power and chip design
labor
Cloud computing
• Connect between cloud vendors and cloud users
• Connect the parts composing the federated cloud
Network architectures for emerging systems
Electrical Engineering Department
Israel Cohen
Mostly concerned in noisy environments
Remove reverberations and interference
Human-machine interface
Hands-free communication
Hearing aids
Robust algorithms for speech enhancement
Electrical Engineering Department
Koby Crammer
Developing, analyzing and building machine learning for complex problems with big amount of data
Online learning, possibly with partial feedback from humans
Learning with heterogeneous resources and few goals
Drifting and non-stationary enviremnts
Many applications, including natural language processing
Machine Learning
Electrical Engineering Department
Gadi Eisenstein
Coherent effects in room temperature semiconductors
Nano photonics for low energy all optical processing
Nano scale semiconductor lasers for use in ultra low energy consuming fiber communication systems
Ultra low power consuming optically sensitive memories
Nonlinear fiber devices
Micro- and Nano-scale elements
Electrical Engineering Department
Yonina Eldar
Developing a sampling system that can identify and sample only relevant data.
New paradigm for sampling /processing continuous-time signals at rates that are much lower than the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.
Hardware prototypes as well as complete demo systems in a variety of areas ranging from cognitive radio to radar and ultrasound.
Sample and process the received signals at very low rates using our prototypes, while attaining performance similar to that resulting from processing at the high Nyquist rate.
Information and Signal Processing
Electrical Engineering Department
Yoav Etsion
Overhauling the 60-year old von-Neuman processor model towards a parallel, energy-constrained computing world.
Exploring new computer system designs, from the handheld to the cloud.
Rethinking computers, rebuilding them more powerful than ever
Electrical Engineering Department
Guy Gilboa
• Developing new image processing algorithms using variational methods (calculus of variations, partial differential equations, nonlocal operators) for denoising, segmentation, image decomposition, texture analysis and more.
• Advanced processing for depth cameras, applications related to medical imaging.
• Theory and applications of a new nonlinear transform for image representation, allows very high quality processing of textures
Image Processing
Electrical Engineering Department
Ran Ginosar
Fast clocks and clock-less IC design. Outcome: means to make fast and large integrated circuits such as for future mobile devices and future computers
Extremely low power processors. Outcome: computers for implanting in the heart or brain, operating without battery, harvesting their energy from the tissue around them.
Parallel computing architecture. Outcome: means to make chips with 1,000 or more processors on them, for very high performance computing (e.g. for intelligent human interfaces)
Rad-hard processors. Outcome: enabling Israeli satellites.
VLSI Systems
Electrical Engineering Department
Moshe Horowitz
Studying theoretically and experimentally linear and non-linear effects obtained when an optical pulse propagates through a fiber
Novel fiber lasers that are based on non-linear effects
transmitting, generating, and processing of ultra-low noise Radio-Frequency (RF) signals
Fiber optics applications
Electrical Engineering Department
Alex Hayat
Quantum devices and low-power ultrafast circuits – based on novel states of matter
Hybrid high-temperature superconductor-semiconductor optoelectronic devices
Topological insulator devices, including: spintronics, quantum circuits and THz electronics
Semiconductor exciton–polariton condensate devices and circuits
Electrical Engineering Department
Idit Keidar
Coordination and fault-tolerance
Recent highlights:
Distributed compressed sensing & in-network analytics
Efficient concurrent data structures
Reconfigurable distributed storage
Trust in cloud storage
Current foci:
Fault-tolerance in multi-core operating systems
Correctness of parallel data structures
Distributed search in social networks
Scheduling in heterogeneous multi-cores
PortraitConcurrency – multiple things that happen at the same time
Electrical Engineering Department
Isaac Keslassy
Data Centers:Cyber-Security & Traffic Classification: DETERlab in Data-Center ClustersLossless Networks (Intel, Mellanox)Adaptive Routing (Mellanox)Distributed SDN (Software Defined Networking)Forwarding Tables (Marvell)TCP Starvation (Broadcom) [IWQoS’10 best-paper award]
Routers:Network Processors (Cisco, IBM)TCAM Classification (EZChip, Google) [Infocom’13 best-paper runner-up award]
Router Reordering (IBM India)Counter Estimators (Qualcomm)Energy-Efficient Hash TablesBloom FiltersFlow Control (EZChip)
Multi-Core Chips:Heterogeneous CMPs (Chip Multi-Processors) (Intel) [best of CAL 2012 award]
Locality in CMPs (Microsoft)NoCs (Networks-on-Chip)Pipelines (Marvell)
Routers and network devices
Module
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Module
Module
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Electrical Engineering Department
Avinoam Kolodny
System and Circuit Interconnect
Network on Chip
Design Methodologies
VLSI architecture and Circuit Design
VLSI
Electrical Engineering Department
Yehuda Leviatan
Efficient design of application-specific antennas
Design of low-profile low-sidelobe directional antennas for satellite communications
Compact Ultra Wide Band antennas
Novel 60 GHz antennas for wireless personal area networks
Antennas for wireless systems
Electrical Engineering Department
David Malah
• Speech modeling and compression for
high quality Text-to-Speech processing.
• Statistical voice conversion.
• Reversed-Complexity video coding.
• Image denoising.
Signal and Image Processing
Simple EncoderComplex Decoder
TranscoderSimple Decoder
Wireless VideoAerial Video
Survailance
Simple Encoder
Complex Decoder
Electrical Engineering Department
Shimon Marom
Physical, physiological & computational aspects; experimental and theoretical approaches
Electrical Excitability in Neurons & Neural Networks
Electrical Engineering Department
Ron Meir
Reverse Engineering Biological Systems
• Information processing, control and dynamics in neural systems
• Reinforcement learning and decision making in natural and artificial systems
• Ecological theories of representation and self-organization in perception and control
Biological and Learning systems
Electrical Engineering Department
Neri Merhav
Conceptual and theoretical framework for the development of all modern digital communication
Lossless and lossy data compression
error correcting codes, encryption
universal decoding in situations of channel uncertainty.
Relationships between information theory and statistical mechanics
Information Theory
Electrical Engineering Department
Yoram MosesCoordination, Knowledge and Communication
Design and Analysis of networks, multi-agent systems and distributed systems
How successful coordination depends on local knowledge
Time in the digital domain and using time in SDN
Fault-tolerant protocols
Verifying distributed systems and protocols
Applications to Game theory, AI and VLSI
Electrical Engineering Department
Moshe Nazarathy
Faster lower-cost, energy efficient transmission of information over fiber-optic links
Cost effective home 1…10 Gb/s modems
Lowest-cost, highest capacity, most energy efficient(inter-)data centers photonic interconnects
Increasing capacity of the Internet Backbone by orders of magnitude – widening the “pipes of information” underlying www.
At the junction between Optical Physics, Communication Theory and Digital Signal Processing
Photonic Communication Systems
Electrical Engineering Department
Yael Nemirovski
Low cost, high performance CMOS-SOI-MEMS/NEMS imagers and sensors, including:
• IR presence sensors, gesture recognition and imaging
(TMOS- Technion IP)
• THz uncooled passive sensors and imagers(TeraMOS-Technion IP)
• Ion Sensitive Field Effect Transistors which do not require calibration (ISMOS- Technion IP)
• Single Photon Avalanche Diodes- SPAD for low light imaging, pulsed light detection and 3D (Technion IP)
Micro-Electronics and Compound Semiconductors
Electrical Engineering Department
Ariel Orda
Make the network operate efficiently in spite of selfish behavior of network users/providers/operators.
Application of game theory to complex networks(e.g. computer networks, social networks, cloud infrastructures)
Quality of Service - Making the Internet behave itself
Network survivability - Coping with failures, attacks, disasters
Wireless & Ad Hoc Networks.
Computer Networking – improving the Internet
Electrical Engineering Department
Moshe Porat
Relationships between sampling, color, and image analysis
Image processing is motivated by the role of biological vision
Considering the role of human vision
Telemdicine application
Biological and Medical imaging
Electrical Engineering Department
Dan Ritter
Devices for terabit memory applications
ReRAM technology – dielectric material that abruptly change their resistance following an appropriate electronic command
Non-volatile memories bsed on ReRAM aer not well understood; Striving for much faster memories
Devices for high power electronics
High Speed semiconductor devices
Electrical Engineering Department
Joseph Salzman
Promising technology for quantum computing
specially challenging due to the extreme inertness of Diamond
unavailability of chemical etching agents that could attack the surface of Diamond.
using Focused Ion Beam processing to drill holes and induce photonic cavities.
Nano-patterning of single Crystal Diamond for photonics
Electrical Engineering Department
Igal Sason
• Information measures and concentration of measure inequalities with applications to information theory, communications and coding.
• Multi-user information theory: capacity bounds, achievability of rate regions with modern coding techniques.
• Asymptotic and non-asymptotic performance bounds for channel codes.
• Codes defined on graphs and iterative decoding algorithms, and bounds on the tradeoff between performance and complexity.
Information Theory and Coding
Electrical Engineering Department
Levi SchächterAccelerating electrons with lasers, aiming forcompact accelerators for medical applicationsand for unveiling the laws of nature.
Manipulation of the solar spectrum forelevating the efficiency of solar cells. Thesolar spectrum is much broader than whatphotovoltaic cells may accept therefore, weconvert the parasitic part of the spectrum tothe acceptable spectral range.
Electrical Engineering Department
Yoav Schechner
Influence the sensing process to extract enhanced information about scenes (computational photography).
The computational analysis of the acquired data, accounts for optical and other physical processes of image formation.
Recent research on multi-view through random, complex media. Realized in large-scale tomography of the atmopshere, and imaging through the ocean-air interface (virtual periscope).
Imaging: straddling computer vision and optics
Electrical Engineering Department
Shlomo Shamai
Ultimate information theoretical limits of multi-user, multi terminal and network communications systems
Connections between Information and Estimation
Wireless models:
multiple access, broadcast, interference, relay channels, cellular etc.
advanced coding techniques
Information Theory and Statistical Communications
Electrical Engineering Department
Joseph Shamir
• Optical methods for high resolution metrologybased on interferometric methods and theinteraction of structured light beams materialobjects, down to the nanometer region.
• Applications of light for signal processing andcomputing with the exploration of alternativecomputing paradigms.
Electro-Optical Information Processing
Electrical Engineering Department
Adam Shwartz
Developing mathematical tools to analyze and optimize systems in which there is uncertainty
Internet: who is going to connect? When? what size files will they download?
Catastrophic events - how they occur
The effect of measures against illegal file distribution
Stochastic Estimation and Control
Electrical Engineering Department
Mark SilbersteinOperating Systems for
heterogeneous architectures
General-Purpose Computing on Graphics Processing Units (GPUs)
Direct network and storage services
High concurrency servers Machine learning and data processing
Hardware security Trust and privacy in heterogeneous systems Power covert channel
Electrical Engineering Department
Yossef Steinberg
Fundamental performance limits of multi-user communication networks
Information Theoretic analysis of data hiding systems
Multi input multi output (MIMO) communications: performance limits, analysis, and design of multi-antenna systems
Detection and estimation problems
Information theory, statistical communications.
Electrical Engineering Department
Ayellet Tal
Develop algorithms for "understanding" shapes
Helping archaeologist in recording and analysis of artifacts
Examples: curve detection on surfaces, shape completion of broken objects, and restoration of an object from its fragments.
Computer Graphics
query result
Electrical Engineering Department
Ido Tal
Error correcting codes: add redundancy in order to decode perfectly in a noisy setting.
Polar codes – a new family of capacity achieving error correcting codes.
Multidimensional constraints – don’t write error-prone patterns in a multidimensional array.
PortraitCoding Theory
Electrical Engineering Department
Ronen Talmon
• Statistical signal processing
• Data-driven modeling and analysis
• Speech enhancement
• Biomedical signal processing
• Applied harmonic analysis
• Diffusion geometry and kernel methods
Signal Modeling and Processing
Electrical Engineering Department
Nir Tessler
Flexible Electronics
A new generation of electronic materials is based on plastics that
can dissolved in solution and printed to create electronic
circuits, displays, solar cells, the same way news papers are
printed today.
Transistor & Solar cells– devices & modeling
Electrical Engineering Department
Uri Weiser
Computer Architecture
New approaches to Computer Architecture
• Analytical analysis of Computer Systems
• New observations of Memory sub-systems
• Multicore vs. Multithread machines
• Big Data implications on computer architecture
• Heterogeneous system: Accelerators’ optimal
resource allocation
• Memory Intensive Architecture
Electrical Engineering Department
Yuval Yaish
New materials for fast electronics
Investigating Grapheme and Carbon
Superb electrical properties, light
Used in fast electronic circuits
Used in tiny sensors for single molecule detection
Nano-Electronics
Electrical Engineering Department
Lihi Zelnik-Manor
Separating the wheat from the chaff
find those regions in an image that are essential for conveying the content
removal of the background
perception-adapted image compression
identification
Analyze and infer the content of video and image data
Electrical Engineering Department
Yehoshua (Josh) Zeevi
Innovative technology that emulates the visual system
New paradigms in large-scale visual search
Modeling and understanding of natural images
Image processing and recognition
Applications in medical imaging and aerial photography.
Biological and Computer Vision Image Processing and Understanding
Electrical Engineering Department
Industrial Affiliates Program (IAP) Members