News

A new paper by Hieu Le, “AutoFR: Automated Filter Rule Generation for Adblocking” has been accepted in the 32nd USENIX Security. Congratulations Hieu Le for your tremendous effort and commitment.  
This paper provides the very first full-stack system for automatic filter rules generation for Adblocking that is adaptive and tunable using a novel Reinforcement Learning modeling. Unique to this paper is the modeling of the user’s preference in the tradeoff between blocking ads and avoiding breakage. We proposed a multi-arm bandit model to generate filter rules while controlling this trade-off in an automatic and systematic approach. I believe this paper will have a huge impact on the curation of the next-generation filter rules. Stay tuned for the full article!  

This paper is a joint collaboration with Athina Markopoulou and Zubair Shafiq. Congratulations!

Salma is invited to give a talk at the Workshop on Human Factors in Intelligent Vehicles at Intelligent Vehicle Symposium based on her single-authored paper at the IV’22.

In this paper, we propose MAConAuto, a general framework to design and develop automotive applications as human-centric applications. MAConAuto aims at improving the human experience by integrating the perception and reactions of the human into the interventions made by the automotive applications through monitoring the human response. Modeling the human in a way that captures the change in perception and reaction is an open challenging research question. Borrowing up from the psychology literature, the behavior of the changes in the human decision historically was modeled through the expected utility theorem (EUT) which is based on an axiomatic framework defined as completeness, transitivity, independence, and continuity. Human is said to be rational if these four axioms hold. However, the models that rely on the EUT have shown that these axioms are unrealistic and that human decisions tend to deviate from the axioms of the EUT. In this paper, we dissect these axioms to design a human model for human-in-the-loop automotive applications using Multisample Reinforcement Learning.

New talk by Hieu Le in the 2021 AdblockerDevSummit on our exciting work for automatic generating and testing of filter rules. This work in collaboration with Athina Markopoulou (UCI) and Zubair Shafiq (UCD)

Check out our new paper on the challenges and approaches for the future of smart classrooms using wearable neurotechnology.

Mojtaba Taherisadr, Berken Utku Demirel, Mohammad Abdullah Al Faruque, Salma Elmalaki, “Future of Smart Classroom in the Era of Wearable Neurotechnology“, October 2021, arXiv:2110.11475

Join us at the Virtual Workshop on Safety and Security for Connected Autonomous Vehicles

An Irvine Symposium on Emerging Research in Transportation (ISERT) 2021 Program

Co-Sponsored by

Institute of Transportation Studies (ITS)
Multidisciplinary Engineering Research Initiative Program, Samueli School of Eng.
Center for Embedded and Cyber-physical Systems (CECS)

Friday, May 28, 2021
9:00 – 4:00 pm (PT)

https://www.its.uci.edu/CAVworkshop

Armand Ahadi-Sarkari has just won the gold medal (first place) in the ACM SIGBED Student Research Competition (SRC) in the undergraduate category.

The award was just announced this morning at the CPS-IoT week. CPS-IoT Week is the premier event on Cyber-Physical Systems and Internet-of-Things Research. It brings together five top conferences, HSCC, ICCPS, IPSN, RTAS and IoTDI, multiple workshops, tutorials, competitions, and various exhibitions from both industry and academia. Altogether the CPS Week program covers a multitude of complementary aspects of CPS and reunites the leading researchers in this dynamic field.

Congratulations to the winners of the 2021 ACM SIGBED Student Research Competition!

*** Undergrad. Students ***
Gold: "ADAS-RL: Adaptive Vector Scaling Reinforcement Learning For Human-in-the-Loop Lane Departure Warning," by Armand Ahadi-Sarkani (Univ. of California, Irvine)

— ACM SIGBED (@AcmSigbed) May 21, 2021

Congratulations Armand!

Check out the SSoE article on the award:
https://engineering.uci.edu/news/2021/5/eecs-students-shine-association-computing-machinery-student-research-competition

Salma’s profile and single author paper highlighted

Smart Mirror RORRIM

Congratulations Isabelle, Bryan, Carissa, Johnathan, and Kevin for winning the Dean Choice Award!

https://escholarship.org/uc/item/7ps471h7

Congratulations Armand for having your first paper getting accepted!

Armand Ahadi-Sarkani, Salma Elmalaki, “ADAS-RL: Adaptive Vector Scaling Reinforcement Learning For Human-in-the-Loop Lane Departure Warning”, The 1st International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS’21), also part of CPS-IoT Week, Virtual, May 2021