Ali N. Akansu
Ali N. Akansu received his B.S. degree from the Technical University of Istanbul, Turkey, M.S. and Ph.D. degrees from the Polytechnic University, Brooklyn, New York, all in Electrical Engineering. He has been with the Department of Electrical & Computer Engineering at the New Jersey Institute of Technology since 1987 where he is Professor of Electrical & Computer Engineering. He was a Founding Director of the New Jersey Center for Multimedia Research and NSF Industry-University Cooperative Research Center for Digital Video & New Media. Dr. Akansu was the Vice President for R&D of IDT Corporation [NYSE:IDT]. He was the founding President and CEO of PixWave, Inc., and Senior VP for Technology Development of TV.TV (IDT Entertainment subsidiaries). He did sit on the boards of start-up companies, and an investment fund. He visited David Sarnoff Research Center, IBM T.J. Watson Research Center, GEC-Marconi Electronic Systems Corp., and Courant Institute of Mathematical Sciences at the New York University. Dr. Akansu has published numerous articles and several books on his research work. His two recent books are entitled A Primer for Financial Engineering: Financial Signal Processing & Electronic Trading, Elsevier, 2015, and Financial Signal Processing and Machine Learning, Wiley-IEEE Press, 2016. His current research interests include signals and transforms (subspace methods), algorithmic trading, explainable machine learning methods and data engineering, including FPGA & GPU computing. He is a Fellow of the IEEE.
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Articles by Ali N. Akansu
Quant investing in cluster portfolios
This paper discusses portfolio construction for investing in N given assets, eg, constituents of the Dow Jones Industrial Average (DJIA) or large cap stocks, based on partitioning the investment universe into clusters.
Eigenportfolios of US equities for the exponential correlation model
In this paper, the eigendecomposition of a Toeplitz matrix populated by an exponential function in order to model empirical correlations of US equity returns is investigated.