Forecasting and Mitigating Disruptions in Public Bus Transit Services
Public transportation systems often suffer from unexpected fluctuations in demand and disruptions, such as mechanical failures and medical emergencies. These fluctuations and …
Aron Laszka
Associate Professor
Pennsylvania State University
Aron Laszka is an Associate Professor in the College of Information Sciences and Technology at the Pennsylvania State University. Previously, he was an Assistant Professor at the University of Houston, a Research Assistant Professor at Vanderbilt University, and a Postdoctoral Scholar at the University of California, Berkeley.
His research interests revolve around artificial intelligence and cyber-physical systems, focusing on machine learning for decision making and optimization, with applications in smart and connected communities, critical infrastructure, and cybersecurity.
His research is funded by the National Science Foundation, the Department of Energy, the Department of Transportation, and other agencies.
Best Paper Award
An Online Approach to Solving Public Transit Stationing and Dispatch Problem
Public bus transit systems provide critical transportation services for large sections of modern communities. On-time performance and maintaining the reliable quality of service is …
Jose Paolo Talusan
Reinforcement Learning based Proactive Control for Enabling Power Grid Resilience to Wildfire
Industrial electric power grid operation subject to an extreme event requires decision making by human operators under stressful conditions. Decision making using system data …
Grid Resilience Against Wildfire with Machine Learning: Machine Learning based Detection, Localization and Mitigation of the Impact of Forest Fires on Power Grids
Decision-making by human operators, using system data obtained from bulk transmission systems, under adverse dynamic events should be supplemented by intelligent proactive control …
Paroma Chatterjee
PhobosBC: A Blockchain-based Crowdsourced Post-disaster Mapping System and its Agent-based Simulation
After a major natural disaster strikes a region, emergency response often lacks information about the post-disaster state of the road network. Conflicting information about the …
Raunak Sarbajna
Distinguished Paper Award
Bug Hunters’ Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem
Although researchers have characterized the bug-bounty ecosystem from the point of view of platforms and programs, minimal effort has been made to understand the perspectives of …
Omer Akgul
Correct-by-Design Interacting Smart Contracts and a Systematic Approach for Verifying ERC20 and ERC721 Contracts with VeriSolid
Blockchain-based smart contracts enable the creation of decentralized applications, which often handle assets of considerable value. While the underlying platforms guarantee the …
Keerthi Nelaturu
Survey and Taxonomy of Adversarial Reconnaissance Techniques
Adversaries are often able to penetrate networks and compromise systems by exploiting vulnerabilities in people and systems. The key to the success of these attacks is information …
Shanto Roy
The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox
Recently, bug-bounty programs have gained popularity and become a significant part of the security culture of many organizations. Bug-bounty programs enable organizations to …
Impact of COVID-19 on Public Transit Accessibility and Ridership
COVID-19 has radically transformed urban travel behavior throughout the world. Agencies have had to provide adequate service while navigating a rapidly changing environment with …
Michael Wilbur