Blockchain Revolution provides a good overview on where the technology can be used.
Cuneyt Gurcan Akcora is an Associate Professor of Finance and Computer Science at the University of Central Florida. He is an adjunct professor of Computer Science and Statistics at the University of Manitoba, Canada. 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.
I am not leaving a spiritual legacy of dogmas, unchangeable petrified directives. My spiritual legacy is science and reason. Mustafa Kemal Atatürk, 1933.
PhD in Computer Science, 2014
Università degli studi dell'Insubria, Italy
MEng in Computer Science, 2010
State University of New York at Buffalo, USA
BSc in Electrical&Electronics Enginering, 2008
Karadeniz Technical University, Turkey
Ardahan Lisesi, Ardahan, Turkey
(January 2024) Our paper 'GraphPulse: Topological Representations for Temporal Graph Property Prediction' has been accepted at ICLR 2024
(January 2024) Our paper 'Data Depth and Core-based Trend Detection on Blockchain Transaction Networks' has been accepted at Frontiers in Blockchain
(December 2023) Our paper 'EMP: Effective Multidimensional Persistence for Graph Representation Learning' has been accepted at The Second Learning on Graphs Conference (LoG)
(September 2022) Our paper 'Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT' has been accepted at NeurIPS 2022
(September 2022) Our paper 'Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains' has been accepted at NeurIPS 2022
(June 2021) Our paper 'Alphacore: Data Depth based Core Decomposition' has been accepted at KDD 2021
(June 2021) Our paper 'Topological anomaly detection in dynamic multilayer blockchain networks' has been accepted at ECML PKDD 2021
(June 2021) I gave a blockchain tutorial at the NSF DMS meeting.
(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).
Blockchain Revolution provides a good overview on where the technology can be used.
Truth Machine positions Blockchain as the building block of a trust based world.
Tools to anayze data created through Blockchains.
Node and subgraph embeddings for deep learning.
The first crowd-sourced sensing and public opinion mining framework on Twitter.
Fall 2020
I am teaching the Blockchain Data Analytics course at the University of Texas at Dallas.