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Biometrics Engineer Image and Signal Processing adaptive filtering.

Location:
Vienna, VA, 22180
Salary:
75000
Posted:
June 04, 2017

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Resume:

MD. OBAIDUL MALEK, PhD

**** ******** ****, *********, **- 22003

Email: ac0nvv@r.postjobfree.com, Tel: 571-***-****

Profile

Highly skilled Electrical Engineer with 8 years experience in computational and statistical data modeling, algorithm design and implementation; Facial and fingerprint biometrics, Data analysis and optimization; Image and signal processing; Pattern classification; Computer vision, Adaptive and sequential filtering.

Areas of Expertise

Professional Experience

Assistant Professor May 2016- April 2017

American International University Dhaka, Bangladesh Job Responsibility

Developed statistical modeling for biometric authentication system using facial and fingerprint biometrics; Implemented LDA and PCA filtering for pattern classification and optimization. Teaching Responsibility (Subject Taught)

Computational biometrics, Image processing, Digital signal processing, Probability & stochastic, Matrix computation, Linear algebra, and System analysis & design. Lead Scientific Research Officer February 2015-April 2016 Center for Biometrics and Biomedical Research Virginia, USA Developed a statistical model for CASIO Self-Excluded program; Worked on facial, fingerprint, and cardiac biometrics; Biometrics data extraction, analysis, management. and optimization. Research Associate September 2009-December 2014

Ryerson University Toronto, Canada

Job Responsibility

Developed biometric authentication and encryption using facial, fingerprint, and gait biometrics; Biometric feature extraction and enhancement, Implemented SSE, Wiener, PCA, and LDA filtering to analyze and optimize stored biometric data. Image segmentation and reconstruction; Implemented LDA in Medical biometric features (Cardio/ECG); Dimension reduction, data enhancement, and data mining. Teaching Responsibility (Subject Taught)

Image processing, Digital signal processing, Probability & random processes, Signals and linear systems, matrix computation, and Linear algebra.

Data analysis and enhancement

Feature extraction and reduction

Biometric database management system

Data mining and optimization

Computational and statistical modeling

Data vulnerability, privacy, and security

Image and signal processing

Image analysis, segmentation, and reconstruction

Computer vision

Multilayer perceptron -Neural network

Filtering

Adaptive and Wiener

Sequential State Estimation (SSE)

Principal Component Analysis (PCA)

Linear Discriminate Analysis (LDA)

Education

Doctor of Philosophy December 2014

Electrical and Computer Engineering Toronto, Canada Ryerson University

Master of Applied Science July 2009

Electrical and Computer Engineering Hamilton, Canada McMaster University

Programming Experience

JAVA, C/C++, SQL, VB, Oracle, HTML, and MATLAB,.

Membership

Ontario Society of Professional Engineers (OSPE) and IEEE. Research Interest

Computational Image/signal processing, computational biomedical/biometrics engineering, statistical data modeling, biometric security/authentication, pattern recognition, biometric encryption, cyber security, machine learning/computer vision, computational intelligence, medical biometrics, adaptive filtering, and optimization.

Teaching Interest

Digital signal processing, image processing, signals and systems, digital electronics, linear/vector algebra, linear systems, biometrics, biomedical engineering, computational engineering, bioinformatics, digital communications, calculus, matrix computation, probability theory & random processes, computational modeling, computing, electricity, circuit analysis and design, digital logic, JAVA, VB, SQL, and MATLAB.

Selected Articles

O.Malek, D. Androutsos, and R. Alamgir, " A Computational Method to Protect Biometric Templates Against Unlinkability Attack", Submitted at the Journal of Neurocomputing- Elsevier on November 2016. R. Alamgir, O. Malek, and A. Venetsanopoulos, "A Sequential Computational Model for Adaptive Space Time Signal Processing", Submitted at the Journal of Submitted at the Journal of Theoretical Computer Science on January 2017.

O.Malek, M. Matin, R. Alamgir, and L. Alamgir, "A Variability Modeling Method for Facial Authentication", International Journal of Computer Science and Information Security, vol. 13, no. 6, June 2015. O. Malek, A. Venetsanopoulos, D. Androutsos, and L Zhao, "Subspace Sequential Estimator for biometric authentication", Elsevier Neurocomputing, vol. 148, pp. 294-309, July 2014. O. Malek, A. Venetsanopoulos, L. Alamgir, S. Krishnan, and J. Alirezaie, "A Discrete Time Convergence Model for Proliferationable Stem Cell and Its Estimation Using Kalman Filter”, Journal of Bioengineer and Biomedical Sci 3, January 2013.

O.Malek, D. Androutsos, and M. Matin, " A Symmetric Bio-Encryption Method to Protect Biometric Templates", SPIE Proceeding for Defense, Security, and Avionics X Conference, Baltimore Maryland USA April 2016, Accepted to published and Oral Presentation January 2016.

R. Alamgir, O.Malek, L. Alamgir, and M. Matin, "Cardiovascular Authentication: Fusion of Electrocardiogram and Ejection Fraction", International Conference on Biomedical Engineering and Science, Las Vegas, July 2015. R. Alamgir, O.Malek, M. Matin, and L. Alamgir, "Encryption and Data Management Architecture to Protect Biometric Security", International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, July 2015.

O. Malek, A. Venetsanopoulos, and D. Androutsos, "Facial Biometrics Based on 2D Vector Geometry”, Proceedings SPIE Defense and Security Conference, Baltimore, Maryland USA, vol. 9075, May 2014. O. Malek, A. Venetsanopoulos, D. Androutsos, and L Zhao, "Subspace State Estimator for Facial Biometric Verification”, IEEE Proceedings of CSCI, Las Vegas, Nevada, US, vol.1, March 2014. O. Malek, A. Venetsanopoulos, and J. Alirezaie, "MultiBiometrics Encryption and Its Management Architecture”, Accepted, Proceedings SPIE 2013 Conference on Security and Defence, Remote Sensing Symposium in Dresden, Germany, September 2013.

O. Malek, A. Venetsanopoulos, L. Alamgir, S. Krishnan, and J. Alirezaie, "A Computational Model for Proliferationable Muscle Stem Cells”, International Conference and Exhibition on Vaccines and Vaccination, Philadelphia, USA, November 2011.

O. Malek, A. Venetsanopoulos, and A. Anpalagan, "A Comparison Studies Between Wiener and Adaptive State Estimation Algorithms for Space-Time Adaptive Radar Processing”, Proceedings SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 779907, September 2010. O. Malek, B. Balaji, M. McDonald, and T. Kirubarajan, "STAP with Adaptive State Estimation in Non-stationary Heterogeneous Systems”, Proceedings SPIE Conference on Advanced Signal Processing Algorithms, Architectures and Implementations, San Diego, CA, August 2009.



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