2016 IEEE MIT Undergraduate Research Technology Conference


2016 IEEE MIT Undergraduate Research Technology Conference

Conference Website: http://ieee.scripts.mit.edu/conference

Envisioning a technical conference targeted towards undergraduate students all over the globe, last year, the MIT IEEE Student Branch inaugurated the IEEE MIT Undergraduate Research Technology Conference. This year we are organizing it again, with the goal that the conference will be a venue where undergraduate students can meet to present, discuss, and develop solutions to advance technology for humanity. Participants can attend a rich program with renowned speakers, technical sessions, a student design competition, exhibits, networking, and social activities, presenting a great opportunity for students to interact with leading industry experts.

The conference theme is “Meet Innovative Technology”, and the six focus technical tracks are:

  1.     Machine Learning, Cloud Computing
  2.     Biological and Biomedical Engineering and Technology
  3.     Robotics and Automation Technology
  4.     Comunications and Security
  5.     Wearable Technology
  6.     Innovative Technologies X-Track

For Student Accommodation:

1. MIT Student Host (Free for non-MIT students) - To request: http://goo.gl/forms/MojYl5esTm by October 25, 2016

2. Recommend Hyatt Regency Cambridge (575 Memorial Dr, Cambridge MA 02139) or at any hotel - at your own expense

Registration Fee includes conference proceeding, meals, t-shirt, conference bag with giveaways, and admission to all conference programs including exhibition.

  Date and Time




  • 77 Massachusetts Avenue
  • Cambridge, Massachusetts
  • United States 02139
  • Building: Stata Center (Building 32-123) and Grier Room (Building 34-401)
  • Room Number: 32-123, 34-401
  • Click here for Map

Staticmap?size=250x200&sensor=false&zoom=14&markers=42.3591326%2c 71
  • Co-sponsored by IEEE Boston Section and MIT
  • Starts 28 July 2016 12:00 AM
  • Ends 06 November 2016 12:00 AM
  • All times are America/New_York
  • Admission fee ?
  • Register


Professor Ali Abedi

Professor Ali Abedi of University of Maine


Wireless Ultrasonic Leak Detection for International Space Station

Air leaks in pressurized structures such as space vehicles or habitats due to micrometeorite impacts or structural aging and failure are inevitable. Due to the large pressure differential between interior of the module and space outside, the escaping air emits an ultrasonic wave inside the module that may be detected using ultrasonic sensors. This presentation describes hardware, software, and algorithmic challenges for localizing leaks using an array of ultrasonic sensors. A major challenge with leak localization is inaccuracy due to reflections and noise. With the use of Kalman filtering, tree-search algorithm, and a hyperbolic angle of arrival algorithm, we can eliminate many of these inaccuracies. Design considerations for a standalone device with its own battery power source, on-board processing, crew interfaces, signal- conditioning circuitry, and a custom 3-D printed box are discussed in this presentation. Three devices were built, flight certified and scheduled to deploy to the ISS for data collection during the Fall of 2016. This project was funded through a three year NASA EPSCoR grant in collaboration with the Office of ISS Technology Demonstration Programs.


Professor Ali Abedi received his Ph.D in Electrical and Computer Engineering, from University of Waterloo in 2004. He joined the University of Maine, Orono in 2005, where he is currently Professor of Electrical and Computer Engineering and Director of Center for Undergraduate Research (CUGR) at the office of the VP Research.

He was a faculty fellow at NASA MSFC during summer of 2016, visiting Associate Professor at the University of Maryland, College Park, MD and Guest Researcher at NIST in 2012 and adjunct Professor at Queen's University, Kingston, Canada in 2004. Dr. Abedi served as Principal Investigator on several NASA, Army, and NSF funded projects including Wireless Sensing of Lunar Habitat and Leak Detection for International Space Station, which are featured on Phys.org and NSF Science360.

Dr. Abedi has received a number of awards and recognitions from Natural Sciences and Engineering Research Council of Canada (NSERC), Japan Society for the Promotion of Science (JSPS), Canadian Space Agency (CSA), NASA, and IEEE. He has published over 80 papers in IEEE journals and conferences including several books. Dr. Abedi is a senior member of IEEE and has served on several IEEE Committees at local, regional, national, and international levels as well as organizing committee of several IEEE Int'l conferences and editorial boards of IEEE, KICS, and IET journals. He is co-founder of two startup companies and co-inventor of Wireless Sensors for Brain Injury Detection with Prof. Hayes.

Giakos C. Giakos

Giakos C. Giakos


Agile Unmanned Vehicles (Drones) and Bioinspired Vision Sensors

The goal of this presentation is to introduce the technical challenges associated with the design and operational capabilities of drone vision systems, then introduce sensing principles and techniques, borrowed from biological sensory response systems, overcoming these challenges. Although unmanned aerial vehicles (UAV)s have established an impressive performance track during the course of the modern conflicts, operation of UAVs in urban settings for combat or commercial applications is not practical, and limited by their competing design requirements. Specifically, existing small UAVs (SUAV)s and micro air vehicles (MAV)s, although exhibiting high intrinsic value in terms of information-surveillance- reconnaissance (ISR) assets, they are not agile enough to operate in the confined, obstacle cluttered environments of city streets. A number of coexisting issues such as limited ability to operate in close proximity to terrain, structures, and other vehicles; limited ability to land on stationary or moving objects; communication latency and drop-out; and sufficient autonomy for reasonable operator workload, introduce severe limitations in current drone technologies. Given the dynamic nature of urban settings, operation in those scenarios introduces significant uncertainties and risks. While the human eye can practically cope only with two aspects of light, brightness and color, many insects use polarization as a further source of visual information. In fact, the polarization pattern of the blue sky serves as an important reference for spatial orientation in insects. Polarization sensitivity differs according to insect species: for instance crickets use blue receptors in polarization vision while honeybees, desert ants and flies use UV-receptors. Insects possess compound eyes. The enhanced polarization vision capabilities of insects, combined with a wide field-of- view, multi-functional eye structure, and good tracking offers enhanced structural, geometrical, chemical, and metabolic information, as wells as unique tracking, guidance, and object discrimination capabilities.


George C. Giakos is Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY. In addition, he is the Director of the Graduate Program. Prior joining Manhattan College, he has been a Professor of Electrical and Computer Engineering and Biomedical Engineering, for the last 20 years, at the University of Akron, OH, USA.

He has been the Director of the US AFRL Multifunctional Imaging Surveillance platform, designed under an US AFRL research contract. He has been recognized for "his leadership efforts in advancing the professional goals of IEEE" by receiving the 2014 IEEE-USA Professional Achievement Award, "in recognition of his efforts in strengthening links between industry, government and academia". He has been elected an IEEE Fellow based on his "Contributions to Efficient Imaging Devices, Systems and Techniques". He is a Distinguished Faculty fellow for the Office of Naval Research.

In addition, he served for several years as faculty Fellow at NASA and Air Force Research Laboratories (AFRL). Professor Giakos received his Laurea in Physics from the University of Turin (Italy), a Post Graduate Diploma in Nuclear Instrumentation from the University of Edinburgh (Scotland), an MS Degree in Physics from Ohio University. He received his Ph.D in Electrical and Computer Engineering, from Marquette University, following Post-Doctoral Training in Medical Imaging, in the Department of Biomedical Engineering, University of Tennessee.

His research group was the first in the US to pioneer the characterization of the detection and imaging characteristics of Cadmium Zinc Telluride semiconductor substrates for flat-panel digital radiography applications.



Conference Program: