Mehdi Aghagolzadeh
Ph.D. student and Research Assistant in the Neural Systems Engineering
Lab
Address:
2120 Engineering Building
Department of Electrical and Computer Eng
Michigan State University
MI, USA 48824
Email:
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Fields of
Interest |
Neural Engineering, Statistical
Signal
Processing, Information Theory, and
System Identification, Machine Learning and Image Processing |
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Education |
M.Sc. in Electrical Engineering (Signal Processing and Communication
Systems), University of Tehran, September 2003 - August 2006 B.Sc. in Electrical Engineering, University of Tabriz, September 1999 - July
2003, Distinction with Honors. |
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Journal
Articles |
M. Aghagolzadeh, and K. Oweiss, “Compressed and
Distributed Sensing of Neuronal Activity for Real Time Spike Train Decoding,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume
17, Issue 2, April 2009 Page(s): 116 – 127 |
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Conference Articles |
M.
Aghagolzadeh, S. Eldawlatly, and K. Oweiss, “Coding Stimulus
Information with Cooperative Neural Populations,” To appear in the Proc. Of IEEE International Symposium on Information
Theory, 2009 M.
Aghagolzadeh, S. Eldawlatly and K. Oweiss, “Identifying
Functional Connectivity of Motor Neuronal Ensembles Improves the Performance
of Population Decoders,” To appear in the Proc. of 4th Int. IEEE EMBS Conf.
on Neural Engineering, April 2009 M.
Aghagolzadeh, and K. Oweiss, “Instantaneous Rate
Estimation of Neuronal Point Processes from a Compressed Representation of
their Nonbinary Spike Trains,” To appear in the Proc. of IEEE Int. Conf.
Acoustics, Speech and Signal Processing (ICASSP), April 2009 F.
T. Abu-Nimeh, M. Aghagolzadeh, and K. Oweiss, "VLSI-friendly
algorithm for real-time spike sorting in Brain Machine Interface
applications", IEEE Conference on Biomedical Circuits and Systems, pp:
265 – 268, Nov 2008 M.
Aghagolzadeh, M. Shetliffe, K. Oweiss, “Impact of
Compressed Sensing of Motor Cortical Activity on Spike Train Decoding in
Brain Machine Interfaces,” 30th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, pp: 5302 - 5305, 2008 A.
Aghagolzadeh, S. Meshgini, M. Nooshyar, M. Aghagolzadeh,
“A novel video compression technique for very low bit-rate coding
by combining H.264/AVC standard and 2-D wavelet transform,” 9th Int.
Conference on Signal Processing, IEEE ICSP, pp: 1251 – 1254, 2008 M.
Aghagolzadeh, H. Soltanian-Zadeh, B. N. Araabi, and A.
Aghagolzadeh, "A New Hierarchical Clustering based on Mutual
Information," IEEE International Conference on Image Processing, ICIP,
pp: 277 – 280, 2007 M.
Aghagolzadeh, H. Soltanian-Zadeh, B. N. Araabi, and A.
Aghagolzadeh, "Finding the Number of Clusters in a Dataset Using an
Information Theoretic Hierarchical Algorithm," IEEE International
Conference on Electronics, Circuits, and Systems, ICECS2006, pp: 1336-1339,
December 2006 M. Aghagolzadeh, H. Soltanian-Zadeh and
B. N. Araabi, " Multiscale Face Detection: A New Approach to Robust Face
Detection," IEEE International Conference on Fuzzy Systems, World
Congress on Computational Intelligence, WCCI2006, pp: 1229- 1234, July 2006 M. Aghagolzadeh, H. Soltanian-Zadeh and
B. N. Araabi, "New Information-Based Clustering Method Using Renyi’s
Entropy and Fuzzy C-Means Clustering," The Seventh IASTED International
Conference on Signal and Image Processing, SIP2005, August 2005, Honolulu,
Hawaii M. Aghagolzadeh, H. Soltanian-Zadeh and
B. N. Araabi, "Information-Based Clustering Using Renyi’s Entropy and
Scatter Matrices," International Symposium on Telecommunication, pp:
793-798, September 2005, Shiraz, Iran, 33% acceptance rate I.
Hasanzadeh ..., M. Aghagolzadeh, "Design and
implementation of robot deminer using FLN-ANFIS controller algorithm,"
IEEE International Workshop on Safety, Security, and Rescue Robotics,
SSRR2004, 2004 |
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Presentations |
(Poster)
M.
Aghagolzadeh, S. Eldawlatly, and K. Oweiss, “Identification and
tracking of functional plasticity in motor neuronal ensembles improves the
performance of population decoders,” 38th annual meeting of the Society for
Neuroscience, Washington, DC, November 2008. (Poster)
M.
Aghagolzadeh, and K. Oweiss, “Investigating the Effect
of Cortical Discharge Variability on the Accuracy of Population Decoders,”
17th Computational Neuroscience Meeting, Portland, Oregon, July 2008 (Oral)
M. Aghagolzadeh, H. Soltanian-Zadeh and B. N. Araabi,
"Information-Based Clustering Using Renyi’s Entropy and Scatter
Matrices," International Symposium on Telecommunication, pp: 793-798,
September 2005, Shiraz, Iran |
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References |
Dr. Karim Oweiss, Department of Electrical and Computer Engineering,
Michigan State University, email: koweiss@msu.edu Dr. Hayder Radha, Department of Electrical and Computer Engineering,
Michigan State University, email: radha@msu.edu Dr. Hamid
Soltanian-Zadeh, Radiology Image Analysis Lab, Henry Ford Health System, email:
hamids@rad.hth.edu |