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EECS News

A Case Against Net Neutrality

In this opinion piece, Prof. Harsha Madhyastha makes that point that an entirely neutral net is not necessarily an efficient net. In order for us to operate optimally, he says we need to answer the question: How can we legally define the permissible ways an ISP could throttle or prioritize traffic in a manner that does not place undue burden on ISPs, yet is verifiable by third parties? [Full Story]

Related Topics:  Lab-Software Systems  Madhyastha, Harsha  Networking, Operating Systems, and Distributed Systems  

Rethinking Transistors for the Internet of Things

The technological achievements of PsiKick, cofounded by Prof. David Wentzloff, and Ambiq Micro, cofounded by Scott Hanson (BSE MSE PhD EE), are compared to other low-voltage transistors in the competition to offer the lowest power consumption for our ubiquitous electronics. [Full Story]

Related Topics:  Alumni  Wentzloff, David  

Do Robots Deserve Human Rights?

In this article, Discover reached out to experts in artificial intelligence, computer science and human rights to shed light on whether or not robots should be given human rights. Prof. Kuipers talks about why robots do not deserve the same rights as humans. [Full Story]

Related Topics:  Kuipers, Benjamin  Lab-Artificial Intelligence  

The Art of Cyber War with Isaac Porche

Isaac Porche (PhD EE:S 1998) is a senior engineer at the RAND Corporation, where he leads research to help Homeland Security and the government adopt proper cyber security tactics. In this interview, he shares the global state of cyber warfare, the threats to government computer systems, and how his time at Michigan led him to being on the frontlines of technological attacks. [Full Story]

Related Topics:  Alumni  Cyber-physical systems  Security (national and personal safety)  Security and Privacy (Computing)  

This Researcher Is Using Brain-Mapping to Improve Anxiety and Depression Treatment for Teens

Anastasia Yendiki (PhD EE:S 2005) talks about her work mapping brain matter to help better treat anxiety and depression in teens in this profile series by InStyle magazine highlighting women "who not only have a voice but defy the irrelevant preconceptions of gender."
[Full Story]

Related Topics:  Alumni  Diversity and Outreach  

Blockchain Supply Chain's Chronicled Names ECE alumnus Gutgutia as VP

As reported by BlockTribune, blockchain-based smart supply chain solutions company called Chronicled has named Abhishek Gutgutia (MS EE 2007) as one of its new Vice Presidents of Product. Gutgutia will work with Chronicled to expand its business in the pharmaceutical and precious metals industries. [Full Story]

Related Topics:  Alumni  

Thomas B. A. Senior (1928 - 2017): In Memoriam

Thomas B. A. Senior, professor emeritus of Electrical Engineering and Computer Science, passed away peacefully November 24th at the age of 89. Professor Senior was a devoted member of the department for 41 years as an active faculty member, and another 19 as an emeritus faculty. He was known for his fundamental contributions to electromagnetic and acoustic scattering, for his signficant service and leadership to the department and professional community, and for his excellence as an educator. [Full Story]

Related Topics:  Lab-Radiation (RADLAB)  Senior, Thomas B. A.   

The Two-Legged Robots Walking Into the Future

Prof. Jessy Grizzle and his students are featured in this VICE Motherboard video on bipedal robots and specifically Cassie's family. Learn about Cassie's roots at Agility Robotics, see what Cassie sees, and where bipedal robots might go in the future. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

Jordi Ribas: From Video Compression to Leading AI Products at Microsoft

Jordi Ribas (PhD EE:S 1996), Corporate Vice President of AI Products at Microsoft and an ECE Council member, describes utilizing what he learned in electrical engineering and video compression to eventually work and lead one of the largest tech companies' AI Products division. [Full Story]

Related Topics:  Alumni  

Kevin Fu Elected IEEE Fellow for Contributions to Embedded and Medical Device Security

Prof. Fu is an expert on the subject of creating trustworthy embedded computing systems that are resistant to attack. He has served in several national leadership roles to advise government on science, technology, and policy to improve computer security and privacy. He is a cofounder of healthcare cybersecurity startup VirtaLabs [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  Medical Device Security  Security and Privacy (Computing)  

An armed robber's Supreme Court case could affect all Americans digital privacy for decades to come

Prof. HV Jagadish writes in this article for The Conversation about the data privacy challenges presented by a world in which our devices continuously record and track our activities. [Full Story]

Related Topics:  Big Data  Jagadish, HV  Lab-Software Systems  Mobile and Networked Computing  Security and Privacy (Computing)  

Winter 2018: Organic Electronic Devices and Applications

Course No.: EECS 598-001
Credit Hours: 3 credits
Instructor: Stephen Forrest
Prerequisites: Senior level quantum mechanics, junior level electronic devices

Course Description:
Today, there is a revolution in optoelectronics: OLED displays are used in billions of smart phones, televisions, tablets and smart watches worldwide. They are now coming into use in lighting for both residential and automotive applications. Organic solar cells are achieving 15% efficiencies, bringing them to the cusp of generating a new, ultralow cost renewable energy source. Contemporaneously, the fundamental understanding of organic semiconductors used in these emerging applications has been a subject of intense study for over 70 years, and in many cases is still not fully understood. In this course, we will trace the history, science and modern applications of organic electronic technology. Since some students have taken the first course on this topic in W17, only the first few weeks of the course will provide the fundamental physics of organics primarily as a review. This will include the basics of the optical and electrical properties of organic semiconductors. Next, we will discuss how organics are deposited and patterned to achieve thin film device structures. The bulk of the class material is concerned with device physics, engineering and applications. In particular light emission from OLEDs, their various structures and adaptations for high efficiency displays and lighting will be discussed. This is followed by a treatment of organic thin film transistor physics and applications for sensing, medical applications etc. The course is concluded by a comprehensive treatment of organic solar cells: their status, efficiency limits, reliability, as an energy harvesting technology will be described.
[More Info]

Winter 2018: Control and Modeling of Power Electronics

Course No.: EECS 598-002
Credit Hours: 3 credits
Instructor: Al Avestruz
Prerequisites: Familiarity with classical control concepts

Course Description:
Transformative technologies in energy conversion will be smarter, faster, and more reliable. This class will address the control and modeling of acdc, dcac, and dcdc power electronic systems. Topics include smallsignal models; digital and analog control; switched, sampleddata, and averaged models; large signal considerations; distributed power conversion; computer modeling in PLECS, MATLAB/Simulink, and LTSpice; and other advanced topics. Design cases may include audio switching power amplifiers, peak power point tracking for renewables and energy scavenging, resonant converters for wireless power transfer, power factor correction, and grid connected converters among others.
[More Info]

Wei Lu Elected IEEE Fellow for Contributions to Neuromorphic Systems

Prof. Lu is an internationally recognized leader in the development of memristors for memory and logic applications. He has also developed nanowire transistors suitable for flexible electronics and optoelectornics, and conducts research into other emerging electrical devices. Lu founded the successful company Crossbar, Inc. in 2010. [Full Story]

Related Topics:  Lu, Wei  

Marvell Is Buying Rival Chipmaker Cavium, Founded by ECE Alum Syed Ali, For $6 Billion

Marvell Technology is purchasing Cavium, a provider of semiconductor products founded by Syed Ali (MSE EE 1981), for $6 billion in cash and stock. Ali will serve as a strategic adviser and board member of the combined companies. [Full Story]

Related Topics:  Alumni  Data and Computing  

University students reflect on attending COP23 Conference

Matt Irish, who is studying for masters degrees in Applied Climate Science and Electrical Engineering, attended this years 2017 United Nations Climate Change Conference. Irish is an EDF Climate Corps Fellow & Dow Sustainability Fellow. [Full Story]

Related Topics:  Sustainability  

New biodegradable hydrogel offers eco-friendly alternative to synthetics

Professor Jerzy Kanicki and an international team of collaborators have developed a new hydrogel made from natural and biodegradable materials that allows for applications in agriculture and medicine without the potential risks of synthetic hydrogels. [Full Story]

Related Topics:  Kanicki, Jerzy  Sustainability  

Winter 2018: Multidisciplinary Capstone Design Project - Supplemental Information

Course No.: EECS 498-006 and EECS 498-007
Credit Hours: 3 or 4 credits
Instructor: Jay Guo and Hun Seok Kim
Prerequisites:

Course Description:
See attached PDF
[More Info]

Winter 2018: Multidisciplinary Capstone (MDE) Design Pilot

Course No.: EECS 498-005
Credit Hours: 3 or 4 credits
Instructor: Brian Gilchrist
Prerequisites:

Course Description:
EECS students, together with ME and MSE students, work on common, interesting, significant major design experience (MDE) projects. This pilot course is about providing students real-world, multidisciplinary design project opportunities to satisfy their MDE requirement and for ECE masters students interested in meaningful project experiences.

For WN18, we expect to have several projects with application focus in biomedical, energy, spaceflight, and other areas needing EECS students (e.g. sensor/electronics, embedded systems, controls, and wireless). Please contact Prof. Gilchrist with questions.
[More Info]

Student-Built App Guides Smithsonian Gallery Visitors Through Ancient Asian Art Exhibit

Visitors to the Smithsonian's Freer|Sackler Galleries in Washington DC will be guided through an exhibit on ancient Asian art by an app developed by a team of UM students through the Multidisciplinary Design Program. The exhibit and app trace the historic pilgrimage of 8th century Korean monk Hyecho to provide context for the exhibit. [Full Story]

Related Topics:  Jamin, Sugih  Undergraduate Students  

HV Jagadish Elected as Fellow of the American Association for the Advancement of Science

HV Jagadish, the Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science and a distinguished scientist at the Michigan Institute for Data Science, has been elected as a fellow of the AAAS for distinguished contributions to database systems and many aspects of Big Data and data science, specifically for new ways to share data. [Full Story]

Related Topics:  Big Data  Data and Computing  Jagadish, HV  Lab-Software Systems  

Beyond the threshold: Solving the leaking problem in ultra-low-power systems

Prof. David Blaauw and his team is recognized for their potential solution in providing a stable voltage to overcome a large hurdle in the design of small electronics. [Full Story]

Related Topics:  Blaauw, David  Electronic devices  

Ada Lovelace Opera and Lightning Talks Highlight Women's Contributions to Computing

A creative event designed to showcase women's contributions as computer scientists took place November 16. The Ada Lovelace Opera began with eight TED-style lightning talks by female faculty and students at UM who are engaged in cutting-edge computing research. The talks were followed by an opera on Ada Lovelace's establishment as the research partner of inventor Charles Babbage in the 1840s, which was performed by students in the School of Music, Theatre & Dance. [Full Story]

Related Topics:  Graduate Students  Mihalcea, Rada  Women in Computing  

Seed-sized U-M computers pumped into oil wells featured at the Houston Museum of Natural Science

A specially created version of the Michigan Micro Mote, measuring 5mmx5mm, is being featured for its role in oil exploration as part of a new exhibit at the Houston Museum of Natural Science. [Full Story]

Related Topics:  Blaauw, David  Energy Science and Engineering  Grbic, Anthony  Integrated Circuits and VLSI  Lab-Michigan Integrated Circuits (MICL)  Millimeter-scale Computing  Phillips, Jamie D.  Sylvester, Dennis  Wentzloff, David  

3D Printing Technology Facilitates Fabrication Of A Curved Organic Photodetector For Image Sensing Devices

Prof. Jerzy Kanicki and his team developed a new fabrication method for curved substrates using a 3D printing process. The technique will enable next-generation camera systems or artificial eyes, as well as high performance image sensing devices for breast cancer detection and other more. Read the paper in Advanced Materials Technologies. [Full Story]

Related Topics:  Health  Kanicki, Jerzy  Solid-State Devices and Nanotechnology  

The Beanbag Test for Robots

Its one thing for a robot to sort through a pile of rigid objects like blocks, but what about softer stuff? Dmitry Berenson and the Autonomous Robotic Manipulation (ARM) Lab showcase their latest work. [Full Story]

Related Topics:  Berenson, Dmitry  Control Systems  Robotics and Autonomous Systems  

The Million Foot View: Profile of Kamal Sarabandi

In this profile, Kamal Sarabandi describes his work as he has expanded radar capabilities in applications ranging from low earth orbit to thousands of feet underground. [Full Story]

Related Topics:  Antennas  Applied Electromagnetics and RF Circuits  Remote Sensing  Robotics and Autonomous Systems  Sarabandi, Kamal  Wireless Communications  

An afternoon with U-M Robotics' newest robot

WDIV visited Jessy Grizzle's team and Cassie, their bipedal robot, and put her in the spotlight with a live feed to Facebook. [Full Story]

Related Topics:  Control Systems  Grizzle, Jessy  Robotics and Autonomous Systems  

2017 CSE Graduate Student Honors Competition Highlights Outstanding Research

CSE held its fourteenth annual CSE Graduate Student Honors Competition on November 8. The top presentation competition was "Analyzing and Enhancing the Security of Modern Memory Systems," given by Salessawi Ferede Yitbarek, who represented CSE's Hardware research area. [Full Story]

Related Topics:  Graduate Students  

Prof. Chris Peikert Receives TCC Test of Time Award for Work in Lattice Cryptography

Chris Peikert, the Patrick C. Fischer Development Professor in Theoretical Computer Science, and his co-author Alon Rosen have received the TCC Test of Time Award for their paper on efficient collision-resistant hashing on cyclic lattices. The award is a recognition of a long line of works by Prof. Peikert and others who laid the foundations for practically efficient lattice-based cryptography. [Full Story]

Related Topics:  Lab-Theory of Computation  Peikert, Chris  Security and Privacy (Computing)  

Winter 2018: Mining Large-scale Graph Data

Course No.: EECS 598-008
Credit Hours: 4 credits
Instructor: Danai Koutra
Prerequisites: Basic knowledge of linear algebra, programming, and machine learning

Course Description:
Graphs naturally represent information ranging from linksbetween webpages to friendships in social networks, tocollaborations between coauthors and connections betweenneurons in our brains. These graphs often span billions of nodesand interactions between them. Within this deluge of interconnected data, how can we extract useful knowledge,understand the underlying processes, make interesting discoveries, and contribute to decision-making?

This course will cover recent methods and algorithms foranalyzing large-scale graphs, as well as applications in variousdomains (e.g., neuroscience, web science, social science,computer networks). The focus will be on scalable and practicalmethods, and students will have the chance to analyzelarge-scale datasets. The topics that we will cover includeclustering and community detection, recommendation systems,similarity analysis, deep learning, summarization, and anomalydetection in the graph setting.
[More Info]

Winter 2018: Social Computing Systems

Course No.: EECS 498-001
Credit Hours: 4 credits
Instructor: Walter Lasecki
Prerequisites: EECS 485 or EECS 493 or permission of instructor

Course Description:
Computation rarely exists in isolation. From social media, to collaboration and coordination tools, to crowdsourcing and collective intelligence, technology has risen from use as an individual tool for focused domains to play a role in or even mediate a majority of social interactions today. Social Computing is the study of this interplay between social processes and the computation that supports and augments them. This course will cover topics including collaborative systems, social media, systems for supporting collective action, data mining and analysis, crowdsourcing, human computation, and peer production.
[More Info]

Deep UV LEDs Lead to Two Best Poster Awards at ISSLED 2017

At ISSLED 2017, PhD student David Laleyan and visiting scholar Xianhe Liu both won best student poster awards for their work showcasing new techniques for creating deep ultraviolet (UV) LEDs. The researchers work with Prof. Zetian Mi. [Full Story]

Related Topics:  LEDs  Mi, Zetian  Optics and Photonics  Power and Energy  Solid-State Devices and Nanotechnology  

Prof. Reetuparna Das Inducted into the MICRO Hall of Fame

Assistant Professor Reetuparna Das has been inducted into the IEEE/ACM MICRO Hall of Fame, an honor given to outstanding researchers with eight or more papers at the International Symposium on Microarchitecture. MICRO is the flagship conference for microprocessor architecture and one of the top-tier computer architecture conferences. [Full Story]

Related Topics:  Das, Reetuparna  Lab-Computer Engineering (CE Lab)  

Michigan Researchers Win Best Paper Award at DFT 2017

John P. Hayes, Claude E. Shannon Professor of Engineering Science, and CSE graduate student Paishun Ting have received the Best Paper Award at the 30th IEEE Symposium on Defect and Fault Tolerance for their work in eliminating a hidden source of error in stochastic circuits. [Full Story]

Related Topics:  Computer Architecture  Computer-Aided Design & VLSI  Graduate Students  Hayes, John  Lab-Computer Engineering (CE Lab)  

Zachary Lemnios: Current and Future Tech at IBM

Zachary Lemnios, VP for Physical Sciences and Government Programs, talks about current and future tech at IBM. Prior to joining IBM, Mr. Lemnios served in the Department of Defense as Chief Technology Officer. [Full Story]

Related Topics:  Alumni  Artificial Intelligence  

Andrew Farah: Evolution of a Career, Computers, and Cars

Andrew Farah (BSE CE 1982; MSE Electrical Science 1984), Chief Technology Architect for Autonomous Vehicles at General Motors, talks about the automotive electronics landscape in the last 40 years, from stand-alone micro-controllers to highly distributed networked ecosystems. Nowhere are these changes more evident than as companies move quickly to capitalize on the disruptive opportunities of autonomous vehicles. [Full Story]

Related Topics:  Alumni  Automotive industry  Autonomous Vehicles  

Winter 2018: Randomness in Computation

Course No.: EECS 598-010
Credit Hours: 3 credits
Instructor: Christopher Peikert
Prerequisites: EECS 376 or EECS 477

Course Description:
Randomness and the tools or probability theory have proven central in many areas of modern science, and especially in computing and the design and analysis of algorithms. This course will expose students to a wide variety of randomized algorithms and the main techniques (linearity of expectation, the second moment method, Chernoff bounds, martingales, and the probabilistic method) used to analyze them. The course also will explore applications of these tools to analyze random combinatorial objects and deterministic algorithms applied to random inputs drawn from some distribution.

Advanced topics may include: the Lovasz Local Lemma, Talagrands inequality, streaming algorithms, quantum computation, approximation algorithms, semidefinite programs, probabilistic proof systems, cryptographic protocols, and others. (The choice of advanced topics will depend on the interests of the students and instructor.)
[More Info]

Cassie Blue Makes Her Debut

Prof. Jessie Grizzle invited the Associated Press to record the new bipedal robot's first steps around North Campus. Watch the video. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

New Funding for High-Fidelity Nerve Mapping Research

The NIH's Stimulating Peripheral Activity to Relieve Conditions (SPARC) program awarded a U-M project $1 million in funding to develop highly-compliant microneedle arrays for peripheral nerve mapping. The team's project director and principal investigator is John Seymour. [Full Story]

Related Topics:  Brain  Health  MEMS and Microsystems  Optoelectronics  Yoon, Euisik  

Securing the vote: How 'paper' can protect US elections from foreign invaders

This story on security problems with voting quotes Prof. J. Alex Halderman, who says that "Although there is no evidence that any past election in the United States has been changed by hacking, it is in my opinion only a matter of time until one is." [Full Story]

Related Topics:  Halderman, J. Alex  Lab-Software Systems  Security and Privacy (Computing)  

Winter 2018: Optics and Quantum Spectroscopy of Semiconductors

Course No.: EECS 598-004
Credit Hours: 3 credits
Instructor: Mack Kira
Prerequisites: PHYSICS 240 and (EECS 320 or 334 or 434 or 520 or 540)

Course Description:
Rough Syllabus: This lecture will provide a pragmatic and brief introduction to solid-state theory, many-body formalism, and semiconductor quantum optics to explore pragmatic possibilities for nanotechology. As a central theme, the coupling of the quantized light field to electrons is investigated in detail, while the many-body Coulomb interaction of charge carriers is fully included. In this context, we will analyze which quantum effects and quasiparticles optical experiments can detect and control in terms of excitonic effects, plasmonics, quasiparticle accelerators, and ultrafast spectroscopy. To extend the quantum ideas further, we will follow how including quantum fluctuations of light to laser spectroscopy will transform it to quantum spectroscopy, a new realm where dropleton, entanglement, quantum memory etc. effects can be explored.
[More Info]

Prof. Jason Mars is Bringing Smart Banking to Market

Ann Arbor-based spinout Clinc, which was founded by CSE Profs. Jason Mars and Lingjia Tang, along with their former students Michael Laurenzano and Johann Hauswald, in 2015, is leading the pack of intelligent banking assistant solutions. Their flagship product, called Finie, is being adopted by a number of banks. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Mars, Jason  Tang, Lingjia  

Winter 2018: Motion Planning

Course No.: EECS 598-003
Credit Hours: 3 credits
Instructor: Dmitry Berenson
Prerequisites: Linear algebra (e.g. MATH 214) and significant programming experience (e.g. EECS 281)

Course Description:
Motion planning is the study of algorithms that reason about the movement of physical or virtual entities. These algorithms can be used to generate sequences of motions for many kinds of robots, robot teams, animated characters, and even molecules. This course will cover the major topics of motion planning including (but not limited to) planning for manipulation with robot arms and hands, mobile robot path planning for non-holonomic constraints, multi-robot path planning, high-dimensional sampling-based planning, and planning on constraint manifolds. Students will implement motion planning algorithms in open-source frameworks, read recent literature in the field, and complete a project that draws on the course material.
[More Info]

Winter 2018: Patent Fundamentals

Course No.: EECS/ENGR 410
Credit Hours: 4 credits
Instructor: Mohammed Islam
Prerequisites: Open to all students

Course Description:
Have you ever had a great idea, then discovered that someone else was using it? Do you wish you could protect your inventions? Learn how to get a patent and protect your rights. In this course, you will write your own patent application and learn how to shepherd it through the Patent Office. The basics of Patent Law are covered, including patentable subject matter, novelty, obviousness, specification and claims of a patent, and claim drafting. Both patent prosecution and litigation topics are covered. This course is open to all undergrad and grad students -- technical background not required.
[More Info]

Winter 2018: Internet Foundations

Course No.: EECS 498-002
Credit Hours: 2 credits
Instructor: Mohammed Islam
Prerequisites: MUST BE TAKEN PASS/FAIL

Course Description:
This course introduces students to the fundamentals of the internet. You use the internet every day, and in this course we permit you to look under the hood to see the basics of how the internet works. The course is specifically intended for students who do not specialize in computers or computer science. We start by reviewing the differences between various applications, such as world wide web, skype, and Bit-Torrent. The 4-layer internet model will be explained, which includes the application, transport, network and link layers. Application layer examples include WWW, HTTP, email, DNS and P2P Applications. The two most commonly used Transport Layer protocols are TCP and UDP. The Internet uses IP as the Network Layer, and routers perform the IP layer functions. The Link Layers used most commonly include Ethernet (wired) and IEEE 802.11 or WiFi (wireless). Other topics covered briefly include Wireless and Mobile Networks, Software Defined Networks, Data Center Networks and Network Security. By taking this course you will have a better appreciation of how computer networks work and how your computer communicates over the internet.
[More Info]

U-M, Cavium partner on big data research computing platform

U-M and Cavium, a provider of semiconductor products founded by Syed Ali (MSE EE 1981), will create a powerful new big data computing cluster available to all U-M researchers. This will enable processing of massive amounts of data generated by remote sensors in distributed manufacturing environments, or by test fleets of automated and connected vehicles. [Full Story]

Related Topics:  Alumni  Data and Computing  

Students Visit Detroit Companies with ECE Expeditions

Students traveled to Detroit and visited DTE Energy and Ford Motor Company over two days in October to learn first-hand about how their studies apply to future careers and to interact with employees and alumni. [Full Story]

Related Topics:  Automotive industry  Power and Energy  

Winter 2018: Power System Markets and Optimization

Course No.: EECS 598-007
Credit Hours: 3 credits
Instructor: Johanna Mathieu
Prerequisites: EECS 463 or permission of instructor

Course Description:
This course covers the fundamentals of electric power system markets and the optimization methods required to solve planning and operational problems including economic dispatch, optimal power flow, and unit commitment. The course will highlight recent advances including convex relaxations of the optimal power flow problem, and formulations/solutions to stochastic dispatch problems. Problems will be placed in the context of actual electricity markets, and new issues, such as incorporation of renewable resources and demand response into markets, will be covered. All students will conduct an individual research project.
[More Info]

Winter 2018: Network Information Theory

Course No.: EECS 598-005
Credit Hours: 3 credits
Instructor: Sandeep Pradhan
Prerequisites: EECS 501 or equivalent

Course Description:
With the emergence of numerous applications, such as 5G and IoT, involving different types of communication networks, such as packet-switched networks, wireless sensor networks and mobile cellular wireless networks, there has been a significant interest in obtaining a deeper understanding of transmission, storage and processing of information in these networks.

Network information theory deals with information in communication networks, i.e., obtaining optimal performance limits as well as ecient information processing strategies to achieve these limits in such networks. A communication network is modeled as a system involving many transmitters and receivers working with many information sources and channels. There have been several exciting new developments in the recent past in this area.
[More Info]

All EECS News for 2017