Biography
Cuneyt Gurcan Akcora is an Assistant Professor of Computer Science and Statistics at the University of Manitoba, Canada. Before that, he was a Postdoctoral Fellow in the departments of
Computer Science and Statistics at the University of Texas at Dallas. He received his Ph.D. from Università degli studi dell’Insubria, Italy, and his M.S. from State University of New York at Buffalo, USA, as a Fulbright Scholar.
He has worked and collaborated with Yahoo! Research Barcelona,
Qatar Computing Research Institute and Huawei Research, Turkey. His primary research interests are Data Science on Complex Networks and Graph Mining, with applications in online social networks and Blockchain networks.
CV | Research Statement
I am not leaving a spiritual legacy of dogmas, unchangeable petrified directives. My spiritual legacy is science and reason. Mustafa Kemal Atatürk, 1933.
Interests
- Explainable Artificial Intelligence
- Data Science on Complex Networks
- Large Scale Graph Analysis
- Nonparametric Statistics
Education
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PhD in Computer Science, 2014
Università degli studi dell'Insubria, Italy
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MEng in Computer Science, 2010
State University of New York at Buffalo, USA
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BSc in Electrical&Electronics Enginering, 2008
Karadeniz Technical University, Turkey
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News
(April 2020) I was awarded the NSERC discovery grant from the Canadian government. The grant has an additional supplement for a startup fund.
(May 2020) I will give a guest lecture on Ransomware detection in cryptocurrencies at the UW Tacoma (CSL 550 - Network and Internet Security class)
(April 2020) BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain has been accepted at the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020).
(April 2020) With Dorcas Ofori-Boateng, we received the Postdoctoral Research Fellowship award from the Canadian Statistical Sciences Institute.
(April 2020) I will give a guest lecture at the UT Dallas School of Management.
(January) Ethereum Curves has been accepted at SDM 2020
(March 2020) We are organizing a BIRS workshop on Data Science on Blockchains
(November) We will give a 3 hour tutorial Data Science on Blockchains at IEEE ICDE 2020 in Dallas, USA.
(November) We will give a 3 hour tutorial "Data Science on Blockchains" at SDM 2020 in Ohio, USA.
(September) I presented "ChainNet: Learning on Blockchain Graphs with Topological Features" at IEEE ICDM 2019, Beijing, China.
(August) Our work "On Role of Local Blockchain Network Features in Cryptocurrency Price Formation" will be published by the Canadian Journal of Statistics.
(August) We are organizing the SAMSI Workshop on Foundations Of Blockchain Data Analytics at Durham, North Carolina on October 5-6.
(August) ChainNet has been accepted to IEEE ICDM 2019 in Beijing, China.
(July 4) I will give a talk on multi-layer analysis of biological networks at ICSA 2019 in Tianjin, China.
(June 14) Our journal paper GraphBoot: Quantifying Uncertainty in NodeFeature Learning on Large Networks will be published by IEEE Transactions on Knowledge and Data Engineering (TKDE).
(June) With Yulia Gel and Bhavani Thuraisingham we will organize the first Workshop on Blockchain Data Analytics (BDA 2019) at IEEE ICDM 2019, in Beijing, China.
(11 June) I will attend the 36th Annual Quality and Productivity Research Conference and give a talk titled "Blockchain Data Analytics: A new frontier in Data Science" in Washington D.C.
(June) I will be a track chair at the IEEE International Conference on Cyberspace Data and Intelligence (Cyber DI 2019) in Beijing, China.
(May) I will be a demo co-chair at the 26th International Conference on Data Engineering, ICDE 2010 .
(March) We gave a Blockchain Data Analytics tutorial at the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2019） in Macao, China.
(17 Jan) I will be a panelist at the 9th ACM Conference on Data and Application Security and Privacy (CodaSPY).
(25 Dec) Our Using Deep Learning to Generate Relational HoneyData paper is published in the Autonomous Cyber Deception, by Springer.
(23 Dec) Our invited paper on Blockchain Data Analytics will appear in the December issue of IEEE Intelligent Informatics Bulletin.
(17 Dec) I will chair the Future of Blockchain from a Big Data perspective session at BigDIA 2018 in Houston, USA.
(3 Dec) I will give a talk on using machine learning models to detect criminal usage of cryptocurrencies at ACSAC 2018 in Puerto Rico.
(17-20 Nov) ICDM changed the schedule and assigned a whole day to Blockchain. We shared the stage with C. Mohan of IBM.
(17-20 Nov) We will give a Blockchain Data Analytics tutorial at IEEE ICDM 2018.
(15 Nov) I will give a talk at the City University of Hong Kong, China
(8 Nov) I presented our Attack Graph paper at IEEE ISI 2018 in Florida, Miami.
(6 Nov) I will give a short course at the Statistics Dept, University of Minnesota.
(13 Oct) I will give a Cryptocurrency talk at the Mathematical Statistics Symposium (in honor of Hira Koul), Michigan State University.
(3 Oct) Our Verizon attack paper was accepted to IEEE ISI 2018.
