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
(January 2021) I will give an invited talk at the New York University Center for Data Science, on E-crime detection on Blockchains.
(December 2020) I am organizing a Blockchain networks session at the 2021 Joint Sunbelt and NetSci Conference.
(December 2020) With Xuemiao Hao from UM Management, we received a Faculty of Science interdisciplinary research grant to research blockchains in the insurance industry.
(October 2020) Invited talk: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain, The Smart Cybersecurity Network (Serene-Risc) Annual Workshop, online, Canada
(October 2020) Invited talk: Topological Data Analysis on Networks – Applications and Scalability issues, University of Montana, Department of Mathematical Science, USA.
(September 2020) Invited talk: Topological Data Analysis on Networks – Applications and Scalability issues, Virginia Commonwealth University, Department of Biostatistics, USA .
(August 2020) Invited talk: Data Science on Blockchains, Joint Statistical Meetings, online.
(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.
