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    Prof. Laleh Najafizadeh and students Yi Huang and Li Zhu with IBM Bi CMOS implemented IC
  • The ECE 3+2 Program includes 43 students from UESTC, Chengdu, China
  • First Place 2014 Capstone Design - Paul Kania, Matthew Brazza and Minh Pham
  • First Place 2013 Capstone Award
  • Second Place 2013 Capstone Award
  • Third Place 2013 Capstone Award
  • The Visual MIMO research team at work
  • Prof. Pompili   and his research group
  • Prof.   K. Dana and her robotics class
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    Prof. Laleh Najafizadeh with Yi Huang and Li Zhu working on IC implemented with IBM Bi CMOS
  • ECE Laboratories
  • Virtual Reality Instructional Laboratory
  • The Electrical and Computer Engineering Building
  • The ORBIT Wireless Testbed
  • The Micro-Electronics Research Laboratory (MERL)
  • Undergraduate researcher working on a Visual Communication Experiment
  • Digital Signal Processing Laboratory
  • Telerehabilitation Institute - Virtual rehabilitation system for strengthening the ankle of children with CP
  • Prof. Mandayam with students
  • Testing an electronic signet ring for logging into mobile devices
  • L-R: DRS. MARSIC, PETROPULU, BAJWA, GRUTESER, ROSE, PARASHAR, SANNUTI, MEER, DANA, ORFANIDIS, NAJAFIZADEH, JEON

Quick Links

  • link to ECE Video page
  • from quick link to GAANN page
  • Faculty Hiring

Research Highlights

The Power of Many: Ensemble Toolkit for Earth Sciences
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Professor Shantenu Jha is the lead PI on a 3 year NSF award for $1.25M on a...

Role of Cortical Network Plasticity in Recovery from Traumatic Brain Injury
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Professor Laleh Najafizadeh is part of a team receiving a grant from the New...

Probing Neural Connectivity at Multiple Temporal Scales
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Professor Laleh Najafizadeh is PI on a new NSF grant from the Biomedical...

PERMIT: Privacy-Enabled Resource Management for IoT Networks
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Professors Anand Sarwate (PI) and Narayan Mandayam (co-PI)...

ECE and The Media

Prof. Janne Lindqvist's work featured on "Engineering for Change" website
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Prof. Janne Lindqvist's work on the Hazard Tracker app appeared in  ...

Prof. Janne Lindqvist on NPR
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Prof. Janne Lindqvist's work on gesture based passwords was mentioned on NPR (see...

Prof. Lindqvist's Gesture Security work featured on RU-TV and many other news and media outlets
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Prof. Janne Lindqvist's interdisciplinary security work which was presented at MobiSys'14...

Elastic Pathing Research featured in IEEE Spectrum, Communications of the ACM, YouTube, Rutgers Today, and MIT Technology Review
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Prof. Janne Lindqvist's research shows that how fast you drive might reveal exactly where...

Upcoming Events

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Add to calendar

Colloquia

ECE Colloquium - Monday, December 12, 2016

Eugene Chai, NEC Laboratories

December 12, 2016 - 1:00pm

FAQ

Where do I get verification of being a full time student?

To get verification of being a full time student, contact the Office of Verifications in ASB, Room 200L at (732) 445-7000. Students can also request full time enrollment via the Registrar's website. You can find more information on transcripts and verification  here.

I have received my GED. Which requirements apply to me?

If you have a GED you must be certain to provide the following documents in support of your application: 1. An official report of your GED examination scores. 2. Transcripts from any high school you attended regardless of the length of enrollment. 3. Transcripts from any college you have attended. Please note that courses taken in math, science, and foreign language at another college may be used to satisfy entrance requirements.

Undergraduate Admission

Please note that admissions to the School of Engineering do not take place at the departmental level.

For more information and assistance in applying to the School of Engineering, please see   http://soe.rutgers.edu/undergraduate-applicants

Transfer students

The School of Engineering welcomes transfer students to our community of learning and engagement. If you've attended a college or university after graduating from high school, you are considered as a transfer student. Please see  
http://soe.rutgers.edu/oas/transfer_external

For questions regarding Electrical and Computer Engineering Curriculum, see Undergraduate Handbook or contact Undergraduate Director of Electrical and Computer Engineering Department

How do I go about taking summer courses outside of RU, and who pays for the tuition?

You may take certain courses at another institution over the summer or winter sessions (not during the spring or fall terms) and transfer the credit (not the grade) to be applied towards your Engineering degree at Rutgers. Tuition is paid for by the student. Click http://soe.rutgers.edu/oas_transfer_external   for more information on transferring summer courses.

For more information on the Rutgers Summer Session, please see http://summersession.rutgers.edu

What are Special Permission Numbers and Pre-requisite Overrides? How do I get one?

Find more information on special permission numbers and pre-requisite overrides  here.

LATEST NEWS

ECE Graduate Student Xianyi Gao Featured in Rutgers Today

Submitted by admin on December 9, 2016 - 12:22pm




Rutgers ECE PhD student Xianyi Gao was featured in Rutgers Today. A direct link to the Rutgers Today feature article is here: http://news.rutgers.edu/feature/misfortune-motivated-doctoral-student-ac...

Xianyi works with Professor Janne Lindqvist on problems in human-computer interaction.

Congratulations to Xianyi on his wonderful accomplishments!

Anastasio Dimas receives GAANN Fellowship

Submitted by admin on November 27, 2016 - 8:02pm



Anastasios Dimas is a first-year PhD student working with Prof. Athina Petropulu in the Communications and Signal Processing Laboratory.   Anastasios obtained his undergraduate Diploma in Computer Engineering from the University of Patras and his Master's degree in Communications Engineering from the Technical University of Munich, in Greece and Germany respectively. During the course of his PhD, his research will focus towards understanding the underlying working principles of the human brain, by interpreting the measured data obtained with the help of techniques borrowed from signal processing, machine learning, and information theory. After his PhD, he intends to pursue a career in academia as an expert in the field of bio-electrical engineering, and looks forward to co-operating with other researchers & industrial partners in order to better understand the function of such complex biological processes, hopefully improving healthcare outcomes.

Shantenu Jha receives DOE INCITE Award

Submitted by admin on November 21, 2016 - 12:25pm

Professor Shantenu Jha is a co-PI on a US Department of Energy (DOE) Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award. These highly competitive awards enable access to processor hours on the TITAN Supercomputer. Dr. Jha's award is for 65 Million processor hours for the project entitled "Unraveling autoimmune diseases with adaptive protein simulation” in collaboration with Rice University (lead), Freie Universitat Berlin and Oak Ridge National Laboratory. Using the most powerful academic supercomputer in the US, this project will support the investigation of proteins using advanced statistical and sampling techniques at computational scales that have not been attempted before.

Congratulations Shantenu!

A detailed abstract of the project is below:

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ECE Professor Wade Trappe, in collaboration with Rutgers alumni Rob Miller and Daniel DuBravec of LMI (an agency focused on government policy strategy) have published a blog on the challenges facing the healthcare industry as it struggles with Protected Health Information (PHI) and HIPAA regulations. The article found here illustrates the risks associated with personal information being leaked on legacy technologies that are still be used by many in the health industry.

Shantenu Jha receives DOE Advanced Scientific Computing Research Award

Submitted by admin on November 15, 2016 - 5:04pm

Professor Shantenu Jha is the PI of a Department of Energy (DOE) ASCR award to Rutgers, along with Brookhaven National Laboratory (lead), Oak Ridge National Laboratory and University of Texas for the project titled, "Workflow Management on Titan for High Energy and Nuclear Physics and for Future Extreme Scale Scientific Applications”. The 2 year project is funded at $2M, and Rutgers will receive $565K and be responsible for research into workload management and placement. Working with the ATLAS experiment — one of two major experiments at CERN in Geneva, this project will investigate new and scalable high-performance and distributed computing methods to federate DOE leadership computing facilities with the Large Hadron Collider (LHC) Grid. The research outcomes and solutions from this project are likely to guide the design and implementation of future computing infrastructure that CERN will employ as it plans for Run 3 and Run 4 of the LHC, producing thousands to million times greater volumes of complex data.

Congratulations on yet another high profile project Shantenu!

A detailed abstract follows: