Welcome to EE Research Day June 23rd 2014

משה נצרתי Prof. Moshe Nazarathy Head: Industrial Affiliates Program (IAP)

תכנית "השבט התעשייתי" סביב הפקולטה להנדסת חשמל

Electrical Engineering Department

[email protected] The 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 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., 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 graduate students, 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

מלגה יוקרתית לקליטת סגל צעיר מצטיין – Alon Fellowships in 11 years 11 •

• 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 Computer Engineering Comm. & Information • Devices • Networking • Wireless, satellite, • OptoElectronics • Parallel Systems optical • Electrodynamics • Distributed Systems • Information • Organic Electronics • VLSI Theory • • Microelectronics • Computer Vision • • Nanoelectronics • Software Wave Propagation • • Advanced Circuits • Multi-core Control & Robotics • • Solar (photovoltaic) cells • Network on Chip Machine Learning • • Cloud Computing Biological Nets

Electrical Engineering Department Our 19 Labs – a pictorial tour…

Electrical Engineering Department 3 Labs in networking and distributed computing

Electrical Engineering Department 2 Labs in photonics

Electrical Engineering Department …2 more Labs in photonics

Electrical Engineering Department 2 Labs in communication and high-speed digital systems

Electrical Engineering Department 2 Labs in electro-magnetics

Electrical Engineering Department 4 Labs in signal / image / video processing & computer graphics

Signal Acquisition Measurement and Processing Lab

Electrical Engineering Department 2 labs in device micro-electronics

Electrical Engineering Department …2 more labs in device micro-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) hosts the Industrial Affiliates Program (IAP) activity • 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) Electrical Engineering Department Machine Learning + Computer Architecture Collaboration with Industry: Industrial Affiliates Program (IAP) תכנית "השבט התעשייתי" סביב הפקולטה להנדסת חשמל

Electrical Engineering Department Industrial Affiliates Program (IAP) MISSION • Promote cooperation and information flow between the academic research staff and the high-tech industry. • Provide technological and scientific depth to the Industry to contribute to competitive edge via innovation. • Enable enhanced interaction and facilitate privileged access to our industrial 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 '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 Moshe Nazarathy & Josef Berger (Palo-Alto ~1988) Harmonic Lightwavesddd co-founders

Electrical Engineering Department >1200 JOBS CREATED in the US, Israel (>200) and ROW • start-ups spun-off: AMBA,Aurora

VAL~$1B SALES~$0.5B San Jose CA, USA, 2014 PROFIT~$30M HLIT on NASDAQ

Electrical Engineering Department Electrical Engineering Department חברי "השבט התעשייתי" Industrial Affiliates Program (IAP) Members

Electrical Engineering Department Collaboration with Industry Collaboration Venues A Multi-Faceted Relationship • 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 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 their horizons 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 to .”deeply engrained, specific to your organization: “The Innovator’s dilemma )קבעון מחשבתי) fixed conceptions • You feel your focused tactics are great but now you “have a thinking out-of-the-box problem”. To mitigate it, you occasionally lock-in your people in fancy hotels for brainstorming retreats, to induce fresh thinking, but typically there 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 open problems from new angles than possible in your world. Let this process flow and you might be surprised that this may 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 and נסדר להם חניה ....appoint your academic affiliate(s) in your organization, to accompany us in EE on an on-going basis Electrical Engineering Department • Company recruiting – privileged access for IAP members to 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 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 1st prize, world-wide TI DSP & Analog Challenge, 2000/01

Real-Time Digital Watermarking for Audio Signals גמר תחרות הפרויקט המצטיין הפקולטי תשע"ד יום שני 23/6/14, 12:00-14:45, אודיטוריום 1003

“Best undergraduate project of the year” Contest הפרויקטים שעלו לגמר התחרות

Sub-Nyquist Cognitive Radio System המעבדה לחישה מידול ועיבוד אותות Thermal Antenna and ROIC for Passive THz Security Screening System 1st prize VLSIהמעבדה ל- Dynamic Hardware Reconfiguration Controlled by LINUX OS פרסים ע"ש יהורז כשר ז"ל המעבדה למערכות ספרתיות מהירות

Electrical Engineering Department 25cm

EE ComLab prototype 2011 ARTsys360 Ltd. st Patent PPatent Application No. 20110304508 Patent Status: Allowed ending 1 prize in 2011 “best project competition” working prototype 2014 Electrical Engineering Department

Confidential 38 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 consider a 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 to sustain and improve the level and preparation of your future recruits and promote 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 Adler Portrait 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

Electrical Engineeringmethods Department for large data sets. Robert Adler 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

Electrical Engineeringmethods Department for large data sets. Rami Atar Stochastic Processes, Control Theory and Asymptotics

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. Electrical Engineering Department Gad Bahir

Nano-structure based devices

• Surface plasmon waves and resonant metamaterial coupling to intersubband transitions for enhanced tunable multispectral 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.

Electrical Engineering Department Guy Bartal Nano Electronics and nonlinear optics

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

Electrical Engineering Department Yitzhak Birk Computer, Storage, communications Systems

 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.

Electrical Engineering Department Eyal Buks Nano-electronics and quantum devices • MEMS sensors • Superconducting devices • Magnetometry with NV centers in diamond

Electrical Engineering Department Yuval Cassuto Novel information structures

• 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

Electrical Engineeringtransmission/storage Department costs, access efficiency, reliability, and implementation complexity. Israel Cidon Network architectures for emerging systems 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 Electrical Engineering Department Israel Cohen Robust algorithms for speech enhancement

Mostly concerned in noisy environments

 Remove reverberations and interference

 Human-machine interface

 Hands-free communication

 Hearing aids

Electrical Engineering Department Koby Crammer Machine Learning

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

Electrical Engineering Department Gadi Eisenstein Micro- and Nano-scale elements

 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

Electrical Engineering Department Yonina Eldar Information and Signal Processing 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

Electrical Engineeringresulting Department from processing at the high Nyquist rate. Yoav Etsion

Rethinking computers, rebuilding them more powerful than ever

 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.

Electrical Engineering Department Guy Gilboa Image Processing

• 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

Electrical Engineering Department Ran Ginosar VLSI Systems

 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.

Electrical Engineering Department Moshe Horowitz Fiber optics applications

 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

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 Portrait Concurrency – multiple things that happen at the same time 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 Electrical Engineering Department Scheduling in heterogeneous multi-cores Isaac Keslassy Routers and network devices

Data Centers: Cyber-Security & Traffic Classification: DETERlab in Data-Center Clusters Lossless 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) Module Module Module

Energy-Efficient Hash Tables Module Module Module Module Bloom Filters Module Module

Flow Control (EZChip) Module

Module Module Multi-Core Chips: Heterogeneous CMPs (Chip Multi-Processors) (Intel) [best of CAL 2012 award] Electrical Engineering Department Locality in CMPs (Microsoft) NoCs (Networks-on-Chip) Pipelines (Marvell) Avinoam Kolodny VLSI

 System and Circuit Interconnect

 Network on Chip

 Design Methodologies

 VLSI architecture and Circuit Design

Electrical Engineering Department Yehuda Leviatan Antennas for wireless systems

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

Electrical Engineering Department David Malah Signal and Image Processing

• Speech modeling and compression for high quality Text-to-Speech processing. • Statistical voice conversion. • Reversed-Complexity video coding.

Aerial Video Wireless Video • Image denoising. Survailance

Simple Encoder Complex Decoder Simple Encoder

Transcoder Electrical Engineering Department Simple Decoder

Complex Decoder Shimon Marom

Electrical Excitability in Neurons & Neural Networks

 Physical, physiological & computational aspects; experimental and theoretical approaches

Electrical Engineering Department Ron Meir Biological and Learning systems

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

Electrical Engineering Department Neri Merhav Information Theory

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

Electrical Engineering Department Yoram Moses Coordination, 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 Photonic Communication Systems

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

Electrical Engineering Department Yael Nemirovski Micro-Electronics and Compound Semiconductors

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 Electrical Engineeringimaging, Department pulsed light detection and 3D (Technion IP) Ariel Orda Computer Networking – improving the Internet

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.

Electrical Engineering Department Moshe Porat Biological and Medical imaging

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

Electrical Engineering Department Dan Ritter High Speed semiconductor devices

 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

Electrical Engineering Department Joseph Salzman Nano-patterning of single Crystal Diamond for photonics

 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.

Electrical Engineering Department Igal Sason Information Theory and Coding

• 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 Electrical Engineeringalgorithms, Department and bounds on the tradeoff between performance and complexity. Levi Schächter Accelerating electrons with lasers, aiming for compact accelerators for medical applications and for unveiling the laws of nature.

Manipulation of the solar spectrum for elevating the efficiency of solar cells. The solar spectrum is much broader than what photovoltaic cells may accept therefore, we convert the parasitic part of the spectrum to the acceptable spectral range.

Electrical Engineering Department Yoav Schechner Imaging: straddling computer vision and optics

 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).

Electrical Engineering Department Shlomo Shamai Information Theory and Statistical Communications

 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.

Electrical Engineering Department  advanced coding techniques Joseph Shamir Electro-Optical Information Processing

• Optical methods for high resolution metrology based on interferometric methods and the interaction of structured light beams material objects, down to the nanometer region.

• Applications of light for signal processing and computing with the exploration of alternative computing paradigms.

Electrical Engineering Department Adam Shwartz Stochastic Estimation and Control

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

Electrical Engineering Department Mark Silberstein Operating 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 Information theory, statistical communications.

 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

Electrical Engineering Department  Detection and estimation problems Ayellet Tal

Computer Graphics

 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.

Electrical Engineering Department query result Ido Tal Portrait Coding Theory

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.

Electrical Engineering Department Ronen Talmon Signal Modeling and Processing

• Statistical signal processing • Data-driven modeling and analysis • Speech enhancement • Biomedical signal processing • Applied harmonic analysis • Diffusion geometry and kernel methods

Electrical Engineering Department Nir Tessler Transistor & Solar cells – devices & modeling

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.

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 Nano-Electronics

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

Electrical Engineering Department Lihi Zelnik-Manor Analyze and infer the content of video and image data

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

Electrical Engineering Department Yehoshua (Josh) Zeevi Biological and Computer Vision Image Processing and Understanding

 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.

Electrical Engineering Department Industrial Affiliates Program (IAP) Members

Electrical Engineering Department