Ali Akansu
Ali Akansu
Professor, Electrical and Computer Engineering
223 Electrical and Computer Engineering Center (ECEC)
About Me
Ali N. Akansu received the B.S. degree from the Istanbul Technical University, Turkey, in 1980, the M.S. and Ph.D degrees from the Polytechnic University (NYU now), Brooklyn, New York, in 1983 and 1987, respectively, all in Electrical Engineering. Since 1987, he has been with the New Jersey Institute of Technology, where he is a Professor of Electrical and Computer Engineering. He was a Founding Director of the New Jersey Center for Multimedia Research (NJCMR) between 1996-2000, and NSF Industry-University Cooperative Research Center (IUCRC) for Digital Video between 1998-2000. Dr. Akansu spearheaded the National Security Agency (NSA) Center of Academic Excellence in Information Assurance Education at NJIT, 2003-2005. He was the Area Coordinator of the Communications, Signal Processing and Microwaves Area of Electrical and Computer Engineering Department (2008-2011). He served on the Governing Board of the Professional Staff Association at NJIT (2006-2008), on NJIT Faculty Council (Senate) (2007-2011) including as its elected Chair (2010-2011).
Dr. Akansu was the Vice President for Research and Development of IDT Corporation [NYSE:IDT], the founding President and CEO of PixWave, Inc., and Senior VP for Technology Development of TV.TV (IDT Entertainment subsidiaries), 2000-2001. He has sat on the boards of a few companies and an investment fund. He was an academic visitor at David Sarnoff Research Center, at IBM T.J. Watson Research Center, and at GEC-Marconi Electronic Systems Corp. during the summers of 1988, 1989 and 1996, and 1992, respectively. Dr. Akansu was a Visiting Professor at Courant Institute of Mathematical Sciences of New York University performed research on Quantitative Finance, 2009-2010. His current research and professional interests include theory of signals and transforms, financial engineering & algorithmic trading, explainable machine learning, and high performance DSP (FPGA & GPU computing).
Dr. Akansu is a Fellow of the IEEE. He has served as an associate editor of IEEE Transactions on Signal Processing, and IEEE Transactions on Multimedia, as a member of the Digital Signal Processing (DSP), Signal Processing Theory & Methods, and Multimedia Signal Processing technical committees of the IEEE Signal Processing Society. He organized the first Wavelets Conference in the United States in April 1990. He was the technical program chairman of IEEE Digital Signal Processing Workshop 1996, Loen, Norway. He served as a member of the Steering Committee and the Publications Chair of IEEE ICASSP 2000, Istanbul, Turkey. He was the Lead Guest Editor of the two special issues of IEEE Transactions on Signal Processing on Theory and Application of Filter Banks and Wavelet Transforms (April 1998), and on Signal Processing for Data Hiding in Digital Media and Secure Content Delivery (April 2003). He was also the Lead Guest Editor of the two special issues of IEEE Journal of Selected Topics in Signal Processing on Signal Processing Methods in Finance and Electronic Trading (August 2012), and on Financial Signal Processing and Machine Learning for Electronic Trading (September 2016).
Dr. Akansu was the Vice President for Research and Development of IDT Corporation [NYSE:IDT], the founding President and CEO of PixWave, Inc., and Senior VP for Technology Development of TV.TV (IDT Entertainment subsidiaries), 2000-2001. He has sat on the boards of a few companies and an investment fund. He was an academic visitor at David Sarnoff Research Center, at IBM T.J. Watson Research Center, and at GEC-Marconi Electronic Systems Corp. during the summers of 1988, 1989 and 1996, and 1992, respectively. Dr. Akansu was a Visiting Professor at Courant Institute of Mathematical Sciences of New York University performed research on Quantitative Finance, 2009-2010. His current research and professional interests include theory of signals and transforms, financial engineering & algorithmic trading, explainable machine learning, and high performance DSP (FPGA & GPU computing).
Dr. Akansu is a Fellow of the IEEE. He has served as an associate editor of IEEE Transactions on Signal Processing, and IEEE Transactions on Multimedia, as a member of the Digital Signal Processing (DSP), Signal Processing Theory & Methods, and Multimedia Signal Processing technical committees of the IEEE Signal Processing Society. He organized the first Wavelets Conference in the United States in April 1990. He was the technical program chairman of IEEE Digital Signal Processing Workshop 1996, Loen, Norway. He served as a member of the Steering Committee and the Publications Chair of IEEE ICASSP 2000, Istanbul, Turkey. He was the Lead Guest Editor of the two special issues of IEEE Transactions on Signal Processing on Theory and Application of Filter Banks and Wavelet Transforms (April 1998), and on Signal Processing for Data Hiding in Digital Media and Secure Content Delivery (April 2003). He was also the Lead Guest Editor of the two special issues of IEEE Journal of Selected Topics in Signal Processing on Signal Processing Methods in Finance and Electronic Trading (August 2012), and on Financial Signal Processing and Machine Learning for Electronic Trading (September 2016).
Education
Ph.D.; Polytechnic Institute of New York University; Electrical Engineering; 1987
M.S.; Polytechnic Institute of New York University; Electrical Engineering; 1983
B.S.; Technical University of Istanbul; Electronics And Communications; 1980
M.S.; Polytechnic Institute of New York University; Electrical Engineering; 1983
B.S.; Technical University of Istanbul; Electronics And Communications; 1980
Awards & Honors
2015 Region 1 Technological Innovation (Academic) Award., IEEE
2008 IEEE Fellow, Institute of Electrical and Electronics Engineers (IEEE)
2008 IEEE Fellow, Institute of Electrical and Electronics Engineers (IEEE)
Website
2025 Spring Courses
ECE 321 - RANDOM SIGNALS AND NOISE
ECE 726 - INDEPENDENT STUDY II
ECE 700B - MASTER'S PROJECT
ECE 701B - MASTER'S THESIS
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 725 - INDEPENDENT STUDY I
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 640 - DIGITAL SIGNAL & DATA PROC
ECE 726 - INDEPENDENT STUDY II
ECE 700B - MASTER'S PROJECT
ECE 701B - MASTER'S THESIS
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 725 - INDEPENDENT STUDY I
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 640 - DIGITAL SIGNAL & DATA PROC
Teaching Interests
Signals and transforms, financial engineering, FPGA & GPU computing.
Past Courses
ECE 232: CIRCUITS AND SYSTEMS II
ECE 291: ELECT ENGR LAB I
ECE 291: ELECTRICAL ENGINEERING LABORATORY I
ECE 321: RANDOM SIGNALS & NOISE
ECE 321: RANDOM SIGNALS AND NOISE
ECE 333: SIGNALS & SYSTEMS
ECE 640: DIGITAL SIGNAL AND DATA PROCESSING
ECE 640: DIGITAL SIGNAL PROCESSING
ECE 641: LAB FOR HIGH PERFORMANCE DSP
ECE 641: LABORATORY FOR DSP WITH FPGAS
ECE 641: LABORATORY FOR HIGH PERFORMANCE DIGITAL SIGNAL PROCESSING
ECE 698: ST:DIGITAL SIGNAL PROCESS
ECE 698: ST:LAB FOR DPS WITH FPGAS
ECE 747: SIGNAL DECOMPSTN TECHNIQUES
ECE 291: ELECT ENGR LAB I
ECE 291: ELECTRICAL ENGINEERING LABORATORY I
ECE 321: RANDOM SIGNALS & NOISE
ECE 321: RANDOM SIGNALS AND NOISE
ECE 333: SIGNALS & SYSTEMS
ECE 640: DIGITAL SIGNAL AND DATA PROCESSING
ECE 640: DIGITAL SIGNAL PROCESSING
ECE 641: LAB FOR HIGH PERFORMANCE DSP
ECE 641: LABORATORY FOR DSP WITH FPGAS
ECE 641: LABORATORY FOR HIGH PERFORMANCE DIGITAL SIGNAL PROCESSING
ECE 698: ST:DIGITAL SIGNAL PROCESS
ECE 698: ST:LAB FOR DPS WITH FPGAS
ECE 747: SIGNAL DECOMPSTN TECHNIQUES
Research Interests
Theory of signals and transforms, financial engineering, big data finance, and high performance digital signal processing (DSP) (FPGA & GPU computing).
Conference Paper
“On Explainability of A Simple Classifier for AR(1) Source”
IEEE 56th Annual Conference on Information Sciences and Systems (CISS), March 2022.
IEEE 56th Annual Conference on Information Sciences and Systems (CISS), March 2022.
Journal Article
Irfan Lateef, Ali N. Akansu. 2021. “Machine Learning in Eigensubspace for Network Path Identification and Flow Forecast.” IET Communications, vol. 15, no. 15, pp. 1997-2006.
Ali N. Akansu, Marco Avellaneda, Anqi Xiong. 2020. “Quant Investing in Cluster Portfolios.” Journal of Investment Strategies (Risk Journals), vol. 9, no. 4, pp. 61-78.
Ali N. Akansu, Anqi Xiong. 2020. “Eigenportfolios of US Equities for the Exponential Correlation Model.” Journal of Investment Strategies, pp. 55-77.
Yanjia Sun, Hasan Ayaz, Ali N. Akansu. 2020. “Multimodal Affective State Assessment using fNIRS + EEG and Spontaneous Facial Expression.” Brain Sciences, vol. 10, no. 2, pp. 85.
Anqi Xiong, Ali N. Akansu. 2019. “On Sparsity of Eigenportfolios to Reduce Transaction Cost.” Journal of Capital Markets Studies, vol. 3, no. 1, pp. 82-90.
Ali N. Akansu, Marco Avellaneda, Anqi Xiong. 2020. “Quant Investing in Cluster Portfolios.” Journal of Investment Strategies (Risk Journals), vol. 9, no. 4, pp. 61-78.
Ali N. Akansu, Anqi Xiong. 2020. “Eigenportfolios of US Equities for the Exponential Correlation Model.” Journal of Investment Strategies, pp. 55-77.
Yanjia Sun, Hasan Ayaz, Ali N. Akansu. 2020. “Multimodal Affective State Assessment using fNIRS + EEG and Spontaneous Facial Expression.” Brain Sciences, vol. 10, no. 2, pp. 85.
Anqi Xiong, Ali N. Akansu. 2019. “On Sparsity of Eigenportfolios to Reduce Transaction Cost.” Journal of Capital Markets Studies, vol. 3, no. 1, pp. 82-90.
SHOW MORE
Ali N. Akansu, James Cicon, Stephen P. Ferris, Yanjia Sun . 2017. “Firm Performance in the Face of Fear: How CEO Moods Affect Firm Performance.” Journal of Behavioral Finance, vol. 18, no. 4, pp. 373-389.
Ali N. Akansu. 2017. “The Flash Crash: A Review.” Journal of Capital Markets Studies, vol. 1, no. 1, pp. 89-100.
Mustafa U Torun, Onur Yilmaz, Ali N. Akansu. 2016. “FPGA, GPU, and CPU Implementations of Jacobi Algorithm for Eigenanalysis.” Journal of Parallel and Distributed Computing (Elsevier), vol. 96, pp. 172-180.
Yuewen Wang, Yahui Wang, Ali N. Akansu, Kevin D. Belfield, Basil Hubbi, Xuan Liu. 2015. “Robust motion tracking based on adaptive speckle decorrelation analysis of OCT signal.” Biomedical optics express, vol. 6, no. 11, pp. 4302--4316.
Yuewen Wang, Ali N. Akansu. 2015. “Low-Complexity Peak-to-average Power Ratio Reduction Method for Orthogonal Frequency-Division Multiplexing Communications.” IET Communications, vol. 9, no. 17, pp. 2153-2159.
Onur Yilmaz, Ali N. Akansu. 2015. “Quantization of Eigen Subspace for Sparse Representation.” IEEE Trans. on Signal Processing, vol. 63, no. 14, pp. 3616-3625.
Yanjia Sun, Ali N. Akansu. 2014. “Facial Expression Recognition with Regional Hidden Markov Models.” IEE Electronics Letters, vol. 50, no. 9, pp. 671-673.
Mustafa U. Torun, Ali N. Akansu. 2013. “An Efficient Method to Derive Explicit KLT Kernel for First-Order Autoregressive Discrete Process.” IEEE Trans. on Signal Processing, vol. 61, no. 15, pp. 3944-3953.
Ali N. Akansu, Mustafa U Torun. 2012. “Toeplitz Approximation to Empirical Correlation Matrix of Asset Returns: A Signal Processing Perspective.” IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 4, pp. 319-326.
Mustafa U Torun, Ali N. Akansu, Marco Avellaneda. 2011. “Portfolio Risk in Multiple Frequencies.” IEEE Signal Processing Magazine, vol. 28, no. 5, pp. 61-71.
Ali N. Akansu, Handan Agirman-Tosun, Mustafa U Torun. 2010. “Optimal Design of Phase Function in Generalized DFT.” Physical Communication, Elsevier.
Ali N. Akansu, Handan Agirman-Tosun. 2010. “Generalized Discrete Fourier Transform with Nonlinear Phase.” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4547-4556.
Ali N. Akansu, Wouter A Serdijn , Ivan W Selesnick. 2010. “Wavelet Transforms in Signal Processing: A Review of Emerging Applications.” Physical Communications, Elsevier, vol. 3, no. 1, pp. 1-18.
Ali N. Akansu. 2017. “The Flash Crash: A Review.” Journal of Capital Markets Studies, vol. 1, no. 1, pp. 89-100.
Mustafa U Torun, Onur Yilmaz, Ali N. Akansu. 2016. “FPGA, GPU, and CPU Implementations of Jacobi Algorithm for Eigenanalysis.” Journal of Parallel and Distributed Computing (Elsevier), vol. 96, pp. 172-180.
Yuewen Wang, Yahui Wang, Ali N. Akansu, Kevin D. Belfield, Basil Hubbi, Xuan Liu. 2015. “Robust motion tracking based on adaptive speckle decorrelation analysis of OCT signal.” Biomedical optics express, vol. 6, no. 11, pp. 4302--4316.
Yuewen Wang, Ali N. Akansu. 2015. “Low-Complexity Peak-to-average Power Ratio Reduction Method for Orthogonal Frequency-Division Multiplexing Communications.” IET Communications, vol. 9, no. 17, pp. 2153-2159.
Onur Yilmaz, Ali N. Akansu. 2015. “Quantization of Eigen Subspace for Sparse Representation.” IEEE Trans. on Signal Processing, vol. 63, no. 14, pp. 3616-3625.
Yanjia Sun, Ali N. Akansu. 2014. “Facial Expression Recognition with Regional Hidden Markov Models.” IEE Electronics Letters, vol. 50, no. 9, pp. 671-673.
Mustafa U. Torun, Ali N. Akansu. 2013. “An Efficient Method to Derive Explicit KLT Kernel for First-Order Autoregressive Discrete Process.” IEEE Trans. on Signal Processing, vol. 61, no. 15, pp. 3944-3953.
Ali N. Akansu, Mustafa U Torun. 2012. “Toeplitz Approximation to Empirical Correlation Matrix of Asset Returns: A Signal Processing Perspective.” IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 4, pp. 319-326.
Mustafa U Torun, Ali N. Akansu, Marco Avellaneda. 2011. “Portfolio Risk in Multiple Frequencies.” IEEE Signal Processing Magazine, vol. 28, no. 5, pp. 61-71.
Ali N. Akansu, Handan Agirman-Tosun, Mustafa U Torun. 2010. “Optimal Design of Phase Function in Generalized DFT.” Physical Communication, Elsevier.
Ali N. Akansu, Handan Agirman-Tosun. 2010. “Generalized Discrete Fourier Transform with Nonlinear Phase.” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4547-4556.
Ali N. Akansu, Wouter A Serdijn , Ivan W Selesnick. 2010. “Wavelet Transforms in Signal Processing: A Review of Emerging Applications.” Physical Communications, Elsevier, vol. 3, no. 1, pp. 1-18.
COLLAPSE
Conference Proceeding
“Design of Eigenportfolios for US Equities Using Exponential Correlation Model”
IEEE 53rd Annual Conference on Information Sciences and Systems (CISS), March 2019.
“Performance Comparison of Minimum Variance, Market and Eigen Portfolios for US Equities”
IEEE 53rd Annual Conference on Information Sciences and Systems (CISS), March 2019.
“Link-Level Interpretation of Eigenanalysis for Network Traffic Flows”
Proc. IEEE 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Performance Analysis of Eigenportfolios for AR(1) Process”
Proc. IEEE 50th Annual Conference on Information Sciences and Systems (CISS), March 2016.
“Symbol Alphabet Modifier for PAPR Reduction in OFDM Communications”
Proc. IEEE 50th Annual Conference on Information Sciences and Systems (CISS), March 2016.
IEEE 53rd Annual Conference on Information Sciences and Systems (CISS), March 2019.
“Performance Comparison of Minimum Variance, Market and Eigen Portfolios for US Equities”
IEEE 53rd Annual Conference on Information Sciences and Systems (CISS), March 2019.
“Link-Level Interpretation of Eigenanalysis for Network Traffic Flows”
Proc. IEEE 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Performance Analysis of Eigenportfolios for AR(1) Process”
Proc. IEEE 50th Annual Conference on Information Sciences and Systems (CISS), March 2016.
“Symbol Alphabet Modifier for PAPR Reduction in OFDM Communications”
Proc. IEEE 50th Annual Conference on Information Sciences and Systems (CISS), March 2016.
SHOW MORE
“Neural Correlates of Affective Context in Facial Expression Analysis: A Simultaneous EEG-fNIRS Study”
Proc. 3rd IEEE GlobalSIP Conference, Symposium on Signal Processing Challenges in Human Brain Connectomics, December 2015.
“A Method to Sparse Eigen Subspace and Eigenportfolios”
Proc. The International Conference on Information Fusion, July (3rd Quarter/Summer) 2015.
“The Power of Fear: Facial Emotion Analysis of CEOs to Forecast Firm Performance”
Proc. 15th IEEE International Conference on Information Reuse and Integration, August 2014.
“Automatic Inference of Mental States from Spontaneous Facial Expressions”
Proc. IEEE ICASSP, May 2014.
“A Fast Derivation of Karhunen-Loève Transform Kernel for First-Order Autoregressive Discrete Process”
Big Data Analytics Workshop at SIGMETRICS, June 2013.
“A Novel Method to Derive Explicit KLT Kernel for AR(1) Process”
IEEE ICASSP, May 2013.
“FPGA Based Eigenfiltering for Real-Time Portfolio Risk Analysis”
IEEE ICASSP, May 2013.
“A Novel GPU Implementation of Eigen Analysis for Risk Management”
13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, June 2012.
“Generalized DFT Waveforms for MIMO Radar”
Seventh IEEE Sensor Array and Multichannel Signal Processing Workshop, June 2012.
“Generalized DFT Based Partial Matched Filter Bank for Doppler Estimation”
IEEE 46th Annual Conference on Information Sciences and Systems (CISS), March 2012.
“Implementation of Generalized DFT on Field Programmable Gate Array”
IEEE ICASSP, March 2012.
“Novel GPU Implementation of Jacobi Algorithm for Karhunen-Loève Transform of Dense Matrices”
IEEE 46th Annual Conference on Information Sciences and Systems (CISS), March 2012.
“On Basic Price Model and Volatility in Multiple Frequencies”
IEEE Statistical Signal Processing Workshop, June 2011.
“Generalized Discrete Fourier Transform with Optimum Correlations”
IEEE ICASSP, April (2nd Quarter/Spring) 2010.
Proc. 3rd IEEE GlobalSIP Conference, Symposium on Signal Processing Challenges in Human Brain Connectomics, December 2015.
“A Method to Sparse Eigen Subspace and Eigenportfolios”
Proc. The International Conference on Information Fusion, July (3rd Quarter/Summer) 2015.
“The Power of Fear: Facial Emotion Analysis of CEOs to Forecast Firm Performance”
Proc. 15th IEEE International Conference on Information Reuse and Integration, August 2014.
“Automatic Inference of Mental States from Spontaneous Facial Expressions”
Proc. IEEE ICASSP, May 2014.
“A Fast Derivation of Karhunen-Loève Transform Kernel for First-Order Autoregressive Discrete Process”
Big Data Analytics Workshop at SIGMETRICS, June 2013.
“A Novel Method to Derive Explicit KLT Kernel for AR(1) Process”
IEEE ICASSP, May 2013.
“FPGA Based Eigenfiltering for Real-Time Portfolio Risk Analysis”
IEEE ICASSP, May 2013.
“A Novel GPU Implementation of Eigen Analysis for Risk Management”
13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, June 2012.
“Generalized DFT Waveforms for MIMO Radar”
Seventh IEEE Sensor Array and Multichannel Signal Processing Workshop, June 2012.
“Generalized DFT Based Partial Matched Filter Bank for Doppler Estimation”
IEEE 46th Annual Conference on Information Sciences and Systems (CISS), March 2012.
“Implementation of Generalized DFT on Field Programmable Gate Array”
IEEE ICASSP, March 2012.
“Novel GPU Implementation of Jacobi Algorithm for Karhunen-Loève Transform of Dense Matrices”
IEEE 46th Annual Conference on Information Sciences and Systems (CISS), March 2012.
“On Basic Price Model and Volatility in Multiple Frequencies”
IEEE Statistical Signal Processing Workshop, June 2011.
“Generalized Discrete Fourier Transform with Optimum Correlations”
IEEE ICASSP, April (2nd Quarter/Spring) 2010.
COLLAPSE
Chapter
Mustafa U Torun, Onur Yilmaz, Ali N. Akansu. 2016. “ Explicit Kernel and Sparsity of Eigen Subspace for AR(1) Process.” Financial Signal Processing and Machine LearningWiley-IEEE Press, 2016.
Book
Ali N. Akansu, Sanjeev Kulkarni, Malioutov Malioutov. 2016. “Financial Signal Processing and Machine Learning.” Wiley-IEEE Press, 2016.
Ali N. Akansu, Mustafa U Torun. 2015. “A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading.” Elsevier, 2015.
Ali N. Akansu, Mustafa U Torun. 2015. “A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading.” Elsevier, 2015.
Other
“High Frequency Trading and Signal Processing Models for the Microstructure of Financial Markets”
IEEE ICASSP, May 2013.
“Manual for ECE 641 Laboratory for High Performance Digital Signal Processing, 3rd Ed.”
In-house, August 2011.
IEEE ICASSP, May 2013.
“Manual for ECE 641 Laboratory for High Performance Digital Signal Processing, 3rd Ed.”
In-house, August 2011.
Material Regarding New Courses/Curricula
“Laboratory Manual for graduate course ECE 641 Laboratory for High Performance Digital Signal Processing”
January (1st Quarter/Winter) 2013.
January (1st Quarter/Winter) 2013.
Professional
IEEE ICASSP 2020
Special Session Co-Organizer and Session Chair (Virtual)
IEEE Journal of Selected Topics in Signal Processing
Lead Editor of the Special Issue on Financial Signal Processing and Machine Learning for Electronic Trading
IEEE ICASSP, Shanghai, China, March 20-25, 2016.
Special Session Organizer at IEEE ICASSP 2016
Special Session Co-Organizer and Session Chair (Virtual)
IEEE Journal of Selected Topics in Signal Processing
Lead Editor of the Special Issue on Financial Signal Processing and Machine Learning for Electronic Trading
IEEE ICASSP, Shanghai, China, March 20-25, 2016.
Special Session Organizer at IEEE ICASSP 2016