The mission of the SenSIP Industry Consortium is to perform use-inspired research and train students in sensor and information systems, digital signal and image processing, wireless communications, networks, and multimedia.
Applications addressed include information processing, software systems, integrated sensing, biomedicine and genomics, defense and homeland security, sustainability and environmental technologies, speech/audio processing and telephony, imaging and video systems, low power realizations, real-time implementations, smart stages and interactive media, and vehicular sensing.
Industry Advisory Board (IAB and Project Directors):
- Nitesh Shah Raytheon – Surveillance and Machine Learning (2 memberships)
- Silvia Garre , Freescale – Sensor Fusion
- Kim Chase, Sprint Communications – Mobile Communications
- Evgeni Gousev, Qualcomm -Imaging Sensors
- Diann Dow, On Semi, Machine Learning
- Alphacore, Esko, Mikkola, Imaging (2 memberships)
- Steve Whaley, Lightsense, Light Sensors
- Joe Marvin, Prime Solutions Group, radar and machine learning
- Steve Miller, Aperio DSP
- Devarajan Srinivasan, Poundra
Members at Large (Advisors)
- Claire Jackoski, Intel
- Glen Abousleman, General Dynamics
- Mike Stanley , SensMach, Tiny ML
- Joseph Gilman, Clovity, IoT
- Murat Ocksay, Interactive Flow (IFS) – Imaging Sensors for Blood Flow
The SenSIP industry consortium is now approved as an NSF funded Industry University Collaborative Research Center (I/UCRC) site. SenSIP will work with the Net Centric I/UCRC of Texas with the University of North Texas, University of Texas-Dallas and Southern Methodist University.
The objective of the NSF Sensor Signal and Information Processing (SenSIP) Industry Consortium is to develop a research and education partnership with local and national industry. This partnership will focus on the development of new signal/information processing algorithms, tools, and software for integrated sensor systems. The primary objective will be the development of new methods for extracting, parameterizing , transmitting, and classifying information from heterogeneous sensors and sensor networks.The faculty involved in SenSIP have a track record of funded programs in areas associated with the theoretical aspects of the SenSIP mission and are actively establishing industry collaborations that promote cutting-edge application-driven research in these areas. The SenSIP Industry Consortium has recently become a site of the NSF Net Centric Industry University Collaborative Research Center (I/UCRC) and will work closely with the University of North Texas, SMU, and the University of Texas at Dallas. The theme of the center aligns well with the economic security of the two states involved and of the nation in general. The creation of intellectual property and trained workforce from this program will contribute to several important state initiatives including biomedical, sustainability, defense, and border control. Some specific application-driven problems to be examined include
- sensors and machine learning
- detection and tracking algorithms for sensors
- source localization with microphone arrays
- motion detection with camera array sensors
- algorithms for waveform design for radar and sonar sensors
- sensor information processing for intrusion and border security
- signal processing for biological and chemical sensors
- information and decision networks for sensor arrays
- acoustic scene characterization
Presentations by the consortium director, Dr. Andreas Spanias and his colleagues and students
- Proposed project on Flexible sensors by the SenSIP Center, UTD, Richardson (Dallas), April 2017
- SenSIP Solar Power Research, KIOS center, Cyprus, Feb. 2017
- The SenSIP REU Site, Prairie View A&M University (HBCU), Dec. 2016.
- The SenSIP Consortium, Intel Vietnam, Ho Chi Minh City, Vietnam, Nov. 2016.
- SenSIP Research in Sensor Data Security, Global Software (a Hitachi subsidiary in Vietnam), Ho Chi Minh City, Vietnam, Nov. 2016.
- The SenSIP Partnership in International Partnership in Research and Education, Ho Chi Minh University of Technology, Nov. 2016.
- SenSIP Tutorial on Machine Learning, SensMACH 2016, Hilton Scottsdale, Nov 2016. (audience 51)
- SenSIP Consortium Projects in Machine Learning, SensMACH 2016, Hilton Scottsdale, Nov 2016. (audience 51)
- The SenSIP Solar Array Facility, University of Cyprus, Nicosia, June 29, 2016 (audience 35).
- SenSIP Research in Audio Processing, Toyota Institute, University of Chicago, April 2016 (audience 40)
- SenSIP Adaptive Signal Processing Tutorial, Invited Tutorial, IISA, July 14, 2016 (audience 23).
- SenSIP Research and I/UCRC, Signal GeneriX, Limassol, Cyprus, Feb 2016 (audience 10)
- SenSIP Activities in Machine Learning Algorithms, Imperial College, Nov 2015 (audience 30)
- The SenSIP Center and NSF I/UCRC, UOP, Athens, Feb 2014 (audience 25)
- SenSIP Speech Processing Algorithms, Cirrus Logic, June 2013. (audience 20)
- SenSIP Research on Loudness Estimation, Qualcomm, Feb. 2013
- Mobile Sensor Research at SenSIP , LG Communications, San Diego, May 2012 (audience 9)
Qualcomm, “The SenSIP I/UCRC – Imaging Sensors”, Santa Barbara, Oct 15, 2019, (15 – more by telco)
ON SEMI, Spring 2019, “The SenSIP I/UCRC Machine Learning Efforts (20)
- SenSIP NSF I//UCRC meeting, Machine Learning for Power converters, Tempe, Oct 2019 (30)
- SenSIP Summer Meeting – Project Status, July 2, 2019, Status of SenSIP Center (36)
- NSF CPS PI Meeting, The Solar CPS Project, Alexandria, Nov 2019 (200)
- SenSIP /NCSS I/UCRC presentation, Alphacore, August 2019
- SenSIP /NCSS I/UCRC presentation, PSG, August 2018
DELFT University, April 2019, SenSIP Signal Processing project for Solar Systems – The SenSIP I/UCRC, (25)