Aron Laszka Projects Publications
RNS Lab
Teaching CV
RNS Lab
Projects
PhD Students
Afiya Ayman

Afiya Ayman started working in the Resilient Networks and Systems (RNS) Lab as a Ph.D. student in January 2019. Her research interest is in contemporary computational sciences, including and not limited to Data Science, Machine Learning, and Cyber Security. She earned her bachelor's degree in Computer Science & Engineering from Chittagong University of Engineering & Technology, Bangladesh. Currently, her research focuses on the application of neural networks and machine learning to restructure the operational planning of a regional transportation authority to be more energy-efficient.

Publications:
Paper in PDFData-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
6th IEEE International Conference on Smart Computing (SMARTCOMP 2020)
Paper in PDFSmart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media
4th Workshop on Trusted Smart Contracts (WTSC 2020)
Paper in PDFData-Driven Detection of Anomalies and Cascading Failures in Traffic Networks
11th Annual Conference of the Prognostics and Health Management Society (PHM 2019)

Taha Eghtesad

Taha Eghtesad joined the department of Computer Science at the University of Houston as a Ph.D. student in Fall 2018. He received a B.S. degree from Shahid Beheshti University, Tehran, Iran in Computer Engineering with a minor in Software Engineering. Currently, he is working as a research assistant under supervision of Dr. Aron Laszka. He is interested to work at the intersection of machine learning, game theory, cyber-physical systems, and systems security. In specific, he tries to build more secure cyber-physical systems using artificial intelligence and machine learning.

E-Mail: teghtesad@uh.edu
Homepage: taahaaa.ir

Publications:
Paper in PDFSafe and Private Forward-Trading Platform for Transactive Microgrids
ACM Transactions on Cyber-Physical Systems
Paper in PDFBlockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches
IEEE Computer
Paper in PDFMechanisms for Outsourcing Computation via a Decentralized Market
14th ACM International Conference on Distributed and Event-Based Systems (DEBS 2020)
Paper in PDFCyber-Attacks and Mitigation in Blockchain Based Transactive Energy Systems
3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2020)

Shanto Roy

Shanto Roy joined the Resilient Networks and Systems (RNS) Lab as a Ph.D. student in the fall 2019 semester. His research interest is in Cyber Security, Data Science & ML, SDN, Cloud-IoT ecosystem, etc. Earlier, he earned his BSc and MSc in Information Technology from Jahangirnagar University, Bangladesh in 2015 and 2016 respectively. Later, he served as a lecturer in the Dept. of Computer Science at the Green University of Bangladesh from 2016 to 2019. In the meantime, he contributed to several cloud-IoT ecosystem security and optimization projects. Currently, his research work focuses on Cyber Deception, an approach to minimize significant damages in an enterprise network by deceiving and misdirecting adversaries.

Publications:
Paper in PDFSmart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media
4th Workshop on Trusted Smart Contracts (WTSC 2020)

Amutheezan Sivagnanam

Amutheezan joined the Resilient Networks and Systems (RNS) Lab as a Ph.D. student in fall 2019. His research interest is in Machine Learning and Data Science. Previously, he graduated with a Bachelors's Degree in Computer Science and Engineering from the University of Moratuwa, Sri Lanka in 2017. He worked as an intern at WSO2 Lanka (PVT) Ltd., as part of the Data Analytics Team in 2016. He also worked as a software engineer in MillenniumIT Software PVT Ltd. from 2018 to 2019. He has previously worked on a machine learning project on semi-supervised based sentiment analysis of microblogging platforms and on a data analytics project on monitoring flows of HL7 messages. Currently, his research work focuses on optimizing bus-route scheduling and minimizing energy costs.

Publications:
Paper in PDFData-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
6th IEEE International Conference on Smart Computing (SMARTCOMP 2020)

Nicholas Troutman

Publications:
Paper in PDFMechanisms for Outsourcing Computation via a Decentralized Market
14th ACM International Conference on Distributed and Event-Based Systems (DEBS 2020)