Alireza Akhbardeh

PostDoctoral Fellow

ali@jhu.edu

Address:

219 Computational Science & Engineering Building
Johns Hopkins University
3400 N. Charles St.
Baltimore, MD 21218

Phone: (410) 516-4853 / FAX: (410) 516-5294

E-mail: ali@jhu.edu

CV: download (pdf format)

WEB: https://jshare.johnshopkins.edu/aakhbar1/public_html/

Research Interests

• Cardiovascular Modeling and Bioinformatics
• Advanced Signal and Image Processing Including Wavelets, Time (or Spatial)-Frequency filter design, Anisotropic (Tensor Field) Filtering, SVD, ICA/PCA, Statistical Analysis, etc.
• Developing Pattern recognition and Machine Learning algorithms based on Neural Networks, Fuzzy systems, and Genetic Algorithms.
• Mathematical Bioscience
• Disease diagnosing and decision making

Publications

Peer Reviewed Articles

A. Akhbardeh, S. Junnila, M. Koivuluoma, T. Koivistoinen, V. Turjanmaa, T. Kööbi, A. Värri, “Towards a Heart Disease Diagnosing System based on Force Sensitive chair’s measurement, Biorthogonal Wavelets and Neural Network classifiers,” Engineering Applications on Artificial Intelligence‐ Elsevier, Vol. 20, Issue 4 , 2007, pp. 493‐502.

A. Akhbardeh, S. Junnila, M. Koivuluoma, A. Värri, “Applying Novel Time‐Frequency Moments Singular Value Decomposition (TFM‐SVD) Method and Artificial Neural Networks for Ballistocardiography,” EURASIP Journal on Advances in Signal Processing, Vol. 2007, Issue 1 , pp. 38‐48.

A. Akhbardeh, S. Junnila, T. Koivistoinen, and A. Värri, “An Intelligent Ballistocardiographic Chair using a Novel SF‐ART Neural Network and Biorthogonal Wavelets”, Journal of Medical Systems, Vol. 31, Issue 1 , 2007, pp. 69‐77.

A. Akhbardeh, Nikhil, P.E Koskinen and O. Yli‐Harja, “Towards the Experimental Evaluation of Novel Supervised Fuzzy Adaptive Resonance Theory for Pattern Classification,” Pattern Recognition Letters ‐ Elsevier, 2007.

Submitted/Revision needed Journal papers:

A. Akhbardeh, and S. Junnila, “Design an Intelligent Ballistocardographic chair based on Biorthogonal wavelets and a Novel QuickLearn Algorithm”, Computer Methods and Programs in Biomedicine ‐ Elsevier, 2007 (under review of second revision).

A. Akhbardeh, “A Ballistocardioghraphic Chair based on Starr Classes and Novel CombiMap transform”, submitted to IEEE Sensors Journal.

A. Akhbardeh, “Applying novel QuickLearn, MLP, RBF and CNeT networks for IRIS, Vowel and Ballistocardiogram pattern classification,” submitted to Journal of Information Sciences.

A. Arezou, A. Akhbardeh, J. Maleki, and K. Pourrezaei, “Functional Near‐Infrared (fNIR) spectroscopy as a tool for pain studies,” Journal of Medical Engineering and Physics (submitted).

Conference Proceedings

Alireza Akhbardeh, Meltem Izzetoglu, Scott Bunce, Kambiz Pourrezaei, Banu Onaral, “fNIRData Classification Using Wavelet Transforms and Neural Networks for Attention Monitoring”, Biomedical Optics Topical Meeting (BIOMED) at the 2008 Spring Optics and Photonics Congress, Petersburg Bayfront in St. Petersburg, Florida, USA.

Alireza Akhbardeh, B. Kaminska and K. tavakolian, BSeg++: A Modified Blind Segmentation Method for Ballistocardiogram Cycle Extraction, EMBC 2007, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,Lyon, France,2007.

A. Akhbardeh and A. Akbarian, “Human Computer Interaction‐ Applying Fuzzy C‐Means, Recurrent Neural Network and Wavelet Transforms for Voluntary Eye Blink Detection” The 2007 European Signal Processing Conference (EUSIPCO‐2007), September 3‐7, 2007, Poland.

A. Akhbardeh, S. Junnila, T. Koivistoinen, and A. Värri, “Applying Novel Suppervised Fuzzy Adaptive Resonance Theory (SF‐ART) neural network, Biorthogonal wavelets for Ballistocardiogram diagnosis,” 2006 IEEE Conference on Control Applications, October 4‐6, 2006, Munich, Germany.

A. Akhbardeh, A Värri, “Applying Novel QuickLearn Algorithm for Pattern Recognition,” 2006 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2006), October 8‐11, 2006, Taipei, Taiwan.

A. Akhbardeh, S. Junnila, T. Koivistoinen, and A. Värri, “Applying Biothogonal wavelets and a Novel QuickLearn Algorithm for an Intelligent Ballistocardographic chair,” 2006 IEEE Mountain Workshop on Adaptive and Learning Systems (Smcal’s 2006), Utah State University, College of Engineering, Logan, U.S.A., July 24 – 26, 2006.

A. Akhbardeh, S. Junnila, T. Koivistoinen, and A. Värri, “Design an Intelligent Ballistocardiographic Chair using Novel QuickLearn and SF‐ART Algorithms and Biorthogonal Wavelets,” 2006 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2006), October 8‐11, 2006, Taipei, Taiwan.

S. Junnila, A. Akhbardeh, L. C Barna, Irek Defee, and A. Värri, “A Wireless Ballistocardiographic Chair,” 28th Annual International Conference IEEE Engineering in Medicine and Biology Society, Aug.30‐Sept.3, 2006, New York City, New York, USA.

M. Rezaei; A. Akhbardeh, M. Hannuksela, and M. Gabbouj, “Fuzzy Rate Controller for Variable Bitrate Video in Mobile Applications,” the 2006 IEEE International Conference on Communications (ICC 2006), Istanbul, Turkey, on 11‐15 June 2006.

A. Akhbardeh, S. Junnila, M. Koivuluoma, T. Koivistoinen, A. Värri, “Evaluation of heart condition based on Ballistocardiogram classification using compactly supported wavelet transforms and neural networks,” Proceedings of the 2005 IEEE Conference on Control Applications (CCA’05), Toronto, Canada, 29‐31 August 2005.

A. Akhbardeh, A Värri, “Novel Supervised Fuzzy Adaptive Resonance Theory (SF‐ART) Neural Network for Pattern Recognition,” IEEE International Symposium on Intelligent Signal Processing (WISP '05), 2005, Faro, Portugal.

A. Akhbardeh, S. Junnila, T. Koivistoinen, A. Värri, “ Ballistocardiogram Classification using a Novel Transform so‐called AliMap (Combimap) and Biorthogonal Wavelets,” IEEE International Symposium on Intelligent Signal Processing (WISP '05), 2005, Faro, Portugal.

A. Akhbardeh, M. Koivuluoma, T. Koivistoinen, A. Värri, “Ballistocardiogram Diagnosis using Neural Networks and Shift‐Invariant Daubechies Wavelet transform”, 13th European signal Processing conference (Eusipco’05), 2005, Antalya, Turkey.

A. Akhbardeh, M. Koivuluoma, T. Koivistoinen, A. Värri, “BCG Data Discrimination using Neural networks and Daubechies compactly supported Wavelet Transform for Heart Disease Diagnosing”, 2005 International Symposium on Intelligent Control 13th Mediterranean Conference on Control and Automation, June 27‐29, 2005, Limassol, Cyprus.

A. Akhbardeh, M. Koivuluoma, T. Koivistoinen, A. Värri, “BCG Data Clustering using New Method so‐called Time‐frequency Moments Singular Value Decomposition (TFM‐SVD) and Artificial Neural Networks,” 2005 International Symposium on Intelligent Control 13th Mediterranean Conference on Control and Automation, June 27‐29, 2005, Limassol, Cyprus.

A. Akhbardeh, S. Junnila, M. Koivuluoma, T. Koivistoinen, A. Värri, “Heart Disease Diagnosing Mechatronics based on Static Charge sensitive chair’s measurement, Biorthogonal Wavelets and Neural classifiers,” 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2005) July 24‐28, 2005, Monterey, California. , U.S.A.

S. Junnila, A. Akhbardeh, T. Koivistoinen, A. Värri, “ An EmFi‐film Sensor based Ballistocardioghraphic Chair: Performance and Cycle extraction method,” 2005 IEEE Workshop on Signal Processing Systems (SIPS’05), 2005, Greece.

A. Akhbardeh, A. Vahabian, and M. Farrokhi, “EEG Features Extraction using Neuro‐Fuzzy Systems and Shift‐Invariant Wavelet Transforms for Epileptic Seizure Diagnosing”, Proc. 26th Annual Internat. Conf. of the IEEE EMBS, San Francisco, CA, USA, 2004, pp. 498‐502.

A.Vahabian, A. Khaki Sedigh, A.Akhbardeh, “Optimal Design of the Variable Structure IMM Tracking Filters Using Genetic Algorithm,” IEEE 2004 CCA/ISIC/CACSD conference, Taiwan, 2004.

A. Fakharian, M. J. Yazdan Panah, and A. Akhbardeh, “Design Of a Nonlinear Optimal Controller for Active Suspension System in Order to Vertical Motion Control of Automotive,” 5th international workshop on research and education in mechatronics (Rem 2004), Poland, 2004.

A. Akhbardeh and M. Farrokhi, “Voluntary and involuntary Eye blinks detection using Neurofuzzy systems and EOG signals for human‐computer interface aids,” 5th international workshop on research and education in mechatronics (Rem 2004), Poland, 2004.

Other Publications

A. Akhbardeh, Erfaniaan, “Discrimination different patterns of the EOG signal by using adaptive resonance theory networks”, Journal of Tabriz University, Tabriz, 2003.

A. Akhbardeh and A. Erfaniaan, Eye tracking User Interface using EOG signal and Neuro-Fuzzy Systems for Human-Computer Interaction aids, M.Sc. Thesis, 2001, Iran University of cience & Technology.

A. Akhbardeh and A. Erfaniaan, “Detection of left and right hand movement by using EOG signals  or human-computer interface,” in Proc. Int. CSI Computer Conference, vol. 6, Isfahan, 2001.

A. Akhbardeh, A. Erfaniaan, “Discrimination different patterns of the EOG signal by using adaptive resonance theory networks,” in Proc. the 10th International Conference on Electrical Engineering (ICEE), Tabriz, 2002.

A. Akhbardeh, A. Erfaniaan, Wavelets theory & Applications of different kind of Wavelet transforms in EEG signals analysis, M.Sc. final Seminar, 2000, University of Science & Technology, Tehran.

A. Akhbardeh, A. Erfaniaan, “Developing a Bio-instrument & computer-based data acquisition system to record, & analyze bio-signals (EEG/E0G signals),” M.Sc. research project, 2000, University of Science & Technology, Tehran.

A. Akhbardeh, “Developing a Computer-based controlling & monitoring systems with Digital/Analogs Input/outputs Supports,” B.Sc. Thesis, Tabriz.