Ali Akansu

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).

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

2015 Region 1 Technological Innovation (Academic) Award., IEEE

2008 IEEE Fellow, Institute of Electrical and Electronics Engineers (IEEE)

http://web.njit.edu/~akansu

ECE 641 - LAB FOR HIGH PERFORMANCE DSP

ECE 321 - RANDOM SIGNALS AND NOISE

ECE 700B - MASTER'S PROJECT

ECE 701B - MASTER'S THESIS

ECE 790A - DOCTRL DISSRTN & RESEARCH

ECE 725 - INDEPENDENT STUDY I

Signals and transforms, financial engineering, FPGA & GPU computing.

Theory of signals and transforms, financial engineering, big data finance, and high performance digital signal processing (DSP) (FPGA & GPU computing).

On Explainability of A Simple Classifier for AR(1) Source
IEEE 56th Annual Conference on Information Sciences and Systems (CISS), March 2022

Lateef, Irfan, & Akansu, Ali (2021). Machine Learning in Eigensubspace for Network Path Identification and Flow Forecast. IET Communications, 15(15), 1997-2006.

Akansu, Ali, & Avellaneda, Marco, & Xiong, Anqi (2020). Quant Investing in Cluster Portfolios. Journal of Investment Strategies (Risk Journals), 9(4), 61-78.

Akansu, Ali, & Xiong, Anqi (2020). Eigenportfolios of US Equities for the Exponential Correlation Model. Journal of Investment Strategies, 55-77.

Sun, Yanjia, & Ayaz, Hasan, & Akansu, Ali (2020). Multimodal Affective State Assessment using fNIRS + EEG and Spontaneous Facial Expression. Brain Sciences, 10(2), 85.

Xiong, Anqi, & Akansu, Ali (2019). On Sparsity of Eigenportfolios to Reduce Transaction Cost. Journal of Capital Markets Studies, 3(1), 82-90.

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

Torun, Mustafa, & Yilmaz, Onur, & Akansu, Ali (2016). Explicit Kernel and Sparsity of Eigen Subspace for AR(1) Process, Wiley-IEEE Press. Wiley-IEEE Press

Akansu, Ali, & Kulkarni, Sanjeev, & Malioutov, Malioutov (2016). Financial Signal Processing and Machine Learning. Wiley-IEEE Press

Akansu, Ali, & Torun, Mustafa (2015). A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading. Elsevier

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

Laboratory Manual for graduate course ECE 641 Laboratory for High Performance Digital Signal Processing
January (1st Quarter/Winter) 2013

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