Ph.D. - Electrical Engineering
"University of Colorado, Boulder" - 1988

MS - Electrical Engineering
Florida Institute of Technology - 1978

BS - Electrical Engineering
Tehran Polytechnic University - 1974

Rajiv Reddy, Issa.M.S. Panahi, “Hybrid FxRLS-FxNLMS adaptive algorithm for active noise Control”,    To appear in IEEE Transaction on Control Systems Technology. forthcoming - Publication

R.M. Reddy, I.M.S. Panahi, R. Briggs, "Hybrid FxRLS-FxNLMS Adaptive Algorithm for Active Noise Control in fMRI Application", IEEE Transaction on Control Systems Technology, Vol. 19, Issue 2, 2011, Page: 474-480. 2011 - Publication

H Bao, I.M.S. Panahi, "Psychoacoustic Active Noise Control with ITU-R468 Noise Weighting and its Sound Quality Analysis",  Proceedings of IEEE 2010 Annual International Conference of Engineering in Medicine and Biology, EMBC2010, Pages: 4323-4326. 2010 - Publication

Ali Milani, Govind Kannan, Issa M.S. Panahi, Richard W. Briggs," Analysis and Optimal Design of Delayless Sub-band Active Noise Control Systems for Broadband Noise", Elsevier-EURASIP, Journal of Signal Processing, 90 (2010), pp:1153-1164. 2010 - Publication

Venkat R. Ramachandran, Issa M.S. Panahi, Ali A. Milani, “Objective and subjective evaluation of Adaptive speech enhancement methods for functional MRI”, Journal of Magnetic Resonance Imaging (JMRI), Vol. 31, No. 1, Jan 2010, pp: 46-55.  2010 - Publication

H. Bao, I. M.S. Panahi, "A Novel Feed-forward Active Noise Control Structure with Spectrum-Tuning for Residual Noise", IEEE Transaction on Consumer Electronics, Vol. 56, Issue 4, 2010, Pages: 2093-2097. 2010 - Publication

H. Bao, I.M.S. Panahi, "Psychoacoustic Active Noise Control Based on Delayless Sub-band Adaptive Filtering", 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2010, Pages: 349-352. 2010 - Publication

V. Gopalakrishna, N. Kehtarnavaz, P.C. Loizou, I. Panahi, "Real-Time Automatic Switching Between Noise Suppression Algorithms for Development in Cochlear Implants", Proceedings of IEEE 2010 Annual International Conference of Engineering in Medicine and Biology, EMBC2010, Pages: 863-866. 2010 - Publication

Assistant Professor
University of Texas at Dallas [2003–Present]

Visiting Associate Professor
University of Texas at Dallas [2001–2003]

Wireless / OMAP Applications Manager
Texas Instruments Inc., Dallas, TX [2000–2001]

CTO
Texas Instruments Inc, Houston, TX [1991–2000]

Lecturer
University of Colorado, Boulder [1986–1987]

Professional recognition, honors, membership

IEEE:

Jan 2007-Present: Senior member of IEEE, - Signal processing Society, Engineering in Medicine and Biology Society (EMBS),and Acoustic Society of America (ASA) .

Jul 2006-Present:  Co-founder of IEEE-Dallas Chapter of Engineering in Medicine and Biology Society (EMBS).

    Vice-Chair of IEEE-Dallas Chapter of EMBS.

Jan 2007- Present: Vice-Chair of the IEEE-Dallas Chapter of Signal Processing Society

Jan 2005 - Jan 2007:  Program Chair, IEEE-Dallas Chapter of Signal Processing Society.

Apr. 2005:  Recipient of the 2005  IEEE "Outstanding Service Award", IEEE-Dallas Section, Signal Processing Society.  

Jan. 2004 - Jan 2005:  Secretary/Treasurer, IEEE-Dallas Section, Signal Processing Society.

1981 to present:  Member of IEEE; Signal Processing Society, EMBS, LEOS (Laser Electronics and Optical Society).

Invited Services:

Aug. 2008:   Session Chair, "Brain Image Analysis", IEEE EMBC2008, Vancouver, Canada.

May 2008:   Session Chair, "signal processing",  SenSIP ( Sensors, Signals, and Information Processing) Conf, Sedona, AZ.

Aug. 2007:   Session Chair, "fMRI signa lprocessing", IEEE EMBC2007, Lyon, France.

2004 to present:  Reviewer for IEEE Transactions; Signal Processing, Communication, Circuits & Systems, Biomedical Eng.,Industrical Electronics, and the EURASIP Signal processing journals.

Texas Instruments Inc:

Sep. 1999:   Elected as the  TI's "Senior Member of The Technical Staff", for outstanding technical contributions to Texas Instruments Inc.

Sep. 1998:   Recipient of the Texas Instruments "Pro-Team Award, in recognition of outstanding performance, leadership, and commitment".

Sep. 1997:   Elected as the TI's "Member, Group Technical Staff", in recognition for excellence in technical contributions to the Semiconductor Group at Texas Instruments, Inc.

1995-2000: Member of Texas Instruments Industrial Advisory Team to Rice Univ., Texas A&M Univ. Univ. of Nevada at Reno, Univ. of Arkansas, Ohio State Univ.  

1997-2001:  Member of the TI team for university R&D funding and recruiting.

1996-1998:  Member of TI-DSP product leadership team.

Scientists Target Smartphone Technology to Improve Hearing Devices

Many scientists agree: The smartphone offers many applications and has become one of the most sophisticated technologies out there.
With the support of a $522,000, two-year grant from the National Institutes of Health, a UT Dallas team wants to harness the power of smartphones to help improve the quality of life of people who wear hearing assistive devices (HAD), including hearing aids, cochlear implants and personal sound amplifiers.

NIH Funds to Spur Development of Technology for Hearing Impaired

A team of UT Dallas researchers has received a grant from the National Institutes of Health (NIH) to develop an open-source platform that will enable researchers and companies to create hearing enhancing smartphone apps.
Many smartphones feature advanced microphones and also use Bluetooth and wireless technology to connect to add-on devices. The $1.86 million, five-year grant will allow the researchers to develop a programmable, smartphone-based research platform for hearing aid studies, particularly for better filtering of sounds in various noisy environments and for providing noise-dependent speech enhancement with high quality and intelligibility.

Researchers Develop Smart Apps To Help People with Hearing Loss

University of Texas at Dallas researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.

One of the most recent apps, detailed in a study published online July 27 in The Journal of the Acoustical Society of America, uses artificial intelligence to remove extraneous babble, street background noise and other sounds via a smartphone and earbuds as well as devices using wired or wireless connection. The article is one of 67 studies that researchers have presented about their work for people with hearing loss in academic journals and at conferences since 2014.

The latest work, funded by a five-year, $1.86 million grant (5R01DC015430-05) from the National Institute on Deafness and other Communication Disorders of the National Institutes of Health (NIH), is part of an effort to develop an open-source research platform for speech processing and hearing improvement. The NIH also provided a two-year, $522,000 grant (5R56DC014020-02) in 2015 to use smartphone technology to improve hearing devices.