The 2nd paper is titled “Model Checking Time Window Temporal Logic for Hyperproperties”. This paper introduces a model checking approach for HyperTWTL specifications-- a domain-specific formal specification language for robotics.
The first paper is titled “QTWTL: Quality Aware Time Window Temporal Logic for Performance Monitoring”. This paper proposes the novel quality-aware time window temporal logic (QTWTL) with two operators for counting and aggregation operations.
Our new paper is now out on IEEE Robotics and Automation Letters (IEEE RA-L). We proposed a new logic HyperTWTL, Hyperproperties for robotic motion planning. Congratulations to Ernest Bonnah !
Congratulations to Ripan Kumar kundu @riponkundu69. He has been awarded a $3500 travel grant from National Science Foundation (NSF) to attend and present his paper at the #IUI2023 in Sydney, Australia.
A great start of 2023 with a paper acceptance in IEEE Transactions on Very Large Scale Integration (VLSI) Systems on Reliability analysis and improvement of energy-efficient approximate DNN accelerators.
The pre-print version is available here: https://t.co/Mhdh8zD8Gg
Delighted to share that our paper "VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality " got accepted in @ACMIUI conference (core rank A).
All the reviewers seem to be excited about the work with 4/5 uniform ratings.
Our paper titled “LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI” has been accepted in IEEE VR @IEEEVR conference. Congratulations @riponkundu69 for his second A* ranked paper in the first year of PhD!
#ieeevr23
Alhamdulillah, we submitted two papers this year to the @DateConference and both were accepted:
1. Improving Reliability of SNN through Fault Aware Threshold Voltage Optimization
2. Security-Aware Approximate SNN
#DATE23#DATE#SNN#security#machinelearning#approximation
Ripan Kumar Kundu @riponkundu69 successfully presented our paper “TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning” at the ISMAR 2022 conference in Singapore. The preprint of our paper is available here: https://t.co/pVdDiZznii
Our recent work on applying explainable machine learning to VR cybersickness detection has been featured in Mizzou EECS Newsletter. Congratulations to the team!
#machinelearning#XAI#VR#ISMAR22
https://t.co/iujE0KgXxr
Our new paper “TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning” has been accepted at IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Preprint will be available soon.
Congratulations to @riponkundu69 !
Our paper titled "Runtime Monitoring of Time Window Temporal
Logic" has been accepted for publication in the IEEE Robotics and Automation Letters (IEEE RA-L) journal. Congratulations Ernest !
The preprint is available here: https://t.co/FaxZDoEsdu
#robotics#formalmethod