Agenda Overview

Start Time Monday (May 04) Tuesday (May 05) Wednesday (May 06 - PISA workshop)
8:00 AM Registration Open & Breakfast Registration Open & Breakfast Registration Open & Breakfast
8:45 AM Opening Remarks Registration Open & Breakfast Opening Remarks
9:00 AM Keynote #1 Keynote #2: Out of the Lab and Into the Wild: Studying the
Implementation of Collaborative Robots in Healthcare
Keynote #3
10:00 AM coffee break coffee break coffee break
10:30 AM Paper Session 1:Multimodal Perception Paper Session 4: Robust Autonomous Driving PISA paper session 1:
Systems and Algorithmic Methods
12:10 PM lunch lunch lunch
13:30 PM Paper Session 2: AI for Autonomous Systems Panel Discussion:
It’s 2026 - Is Autonomous Driving Research Still Relevant?
PISA paper session 2:
Applications and Real-World Deployment
3:00 PM coffee break coffee break coffee break
3:30 PM Paper Session 3: Smart Traffic and Mobility Paper Session 5: Safety and Security Autoware tutorials & Demos on Physical AI
5:00 PM Poster/Demo Poster/Demo Adjourn
6:00 PM Dinner and Award Ceremony Dinner

Program

Opening Remarks

   Ned Staebler, Vice President for Economic Development, Wayne State University

   Ali Abolmaali, Dean, James and Patricia Anderson College of Engineering, Wayne State University


Keynote #1: Title: TBD

   Keynote Speaker: Justine Johnson (Chief Mobility Officer, State of Michigan)


Paper Session 1: Multimodal Perception

   Session Chair: Sidi Lu (William & Mary)

  • Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
    Yuhan Zhou (University of North Texas), Mehri Sattari (University of North Texas), Haihua Chen (University of North Texas), Kewei Sha (University of North Texas)
  • Fusion of Heterogeneous and Multi-Location Sensors for Collective Perception
    Tiago Pereira (University of Aveiro), Andreia Figueiredo (University of Aveiro), Pedro Rito (University of Aveiro), Susana Sargento (Universidade de Aveiro)
  • Topographical Density Mapping: A Novel Density-Based Clustering Algorithm for Automotive Radar Applications
    Mark Southcott (Clarkson University), Chen Liu (Clarkson University)
  • An LLM-based Waterway Scheduling Agent Integrated with Semantic Perception and Evolutionary Optimization
    Junjie Weng (School of Navigation, Wuhan University of Technology), Mozi Chen (School of Navigation, Wuhan University of Technology), Yiling Ren (School of Navigation, Wuhan University of Technology), Yang Liu (Shenzhen Maritime Safety Administration, Shenzhen, China), Changzhen Li (School of Information Engineering}, Wuhan University of Technology), Kezhong Liu (School of Navigation, Wuhan University of Technology)

Paper Session 2: AI for Autonomous Systems

   Session Chair: Yi Zhu (Wayne State University)

  • LightAD: A Lightweight Vision-Based Autonomous Driving System
    Yunge Li (Oakland University), Zhaodong Zhou (Oakland University), Shaibal Saha (Oakland University), Ali Irshayyid (Oakland University), Keer Chen (Oakland University), Lanyu Xu (Oakland University), Jun Chen (Oakland University)
  • LaViCoN: Language and Vision Cooperative Navigation for Assistive Mobile Robots
    Tony Yang (Chaparral High School), Ren Zhong (University of Delaware), Weisong Shi (University of Delaware)
  • SCARF-SLAM: Spatially Confidence-Aware Aggregation for Federated Implicit Neural SLAM
    Gaofeng Rao (School of Navigation, Wuhan University of Technology), Mozi Chen (School of Navigation, Wuhan University of Technology), Mengchuang Hu (School of Navigation, Wuhan University of Technology), ShengKai Zhang (School of Navigation, Wuhan University of Technology), Kezhong Liu (School of Navigation, Wuhan University of Technology)

Paper Session 3: Smart Traffic and Mobility

   Session Chair: Kewei Sha (University of North Texas)

  • BRIDGE: Task-Aware LiDAR Point Cloud Compression with Optimal Detection-Critical Subset Learning
    Wang Feng (University of North Texas), Donger Chen (University of North Texas), Ying He (University of North Texas), Lucas Wu (Allen High School), Yi Huang (Brookhaven National Laboratory), Yihui Ren (Brookhaven National Laboratory), Qing Yang (University of North Texas), Song Fu (University of North Texas)
  • AI-Assisted Driver Situational Awareness for Improved Traffic Flow at High Density Intersections
    Henry Sun (Ottawa Hills High School), Jalal Abdel Halim (University of Toledo), Bibudh Dwa (University of Toledo), Eddie Chou (University of Toledo), Weiqing Sun (University of Toledo)
  • Cost of convenience in long-dwell public electric vehicle charging
    William Vining (Sandia National Laboratories), Emily Moog (Sandia National Laboratories), Andrea Mammoli (Sandia National Laboratories), Steven Schmidt (Idaho National Laboratory), Manoj Kumar Cebol Sundarrajan (Idaho National Laboratory)
  • Can I Park Here? Understanding Complicated Parking Signs on the Street
    Junlai Shi (University of Delaware), Yuankai He (University of Delaware), Yuxin Wang (University of Delaware), Weisong Shi (University of Delaware)

Keynote #2: Title: Out of the Lab and Into the Wild: Studying the Implementation of Collaborative Robots in Healthcare

   Keynote Speaker: Susan Smith (Director of Technology Research & Education, ChristianaCare)


Session 4: Autonomous Driving Systems

   Session Chair: Song Fu (University of North Texas)

  • Computation–Accuracy Trade-Off in Service-Oriented Model-Based Control
    Hazem Ibrahim (University of the Bundeswehr Munich), Julius Beerwerth (University of the Bundeswehr Munich), Lorenz Dörschel (RWTH Aachen University), Bassam Alrifaee (University of the Bundeswehr Munich)
  • Toward Robust Autonomous Driving in Rural and Off-Road Environments: A Perception Based Approach
    Griffen Agnello (Washington State University), Shaikh Tanveer Hossain (Washington State University), Ishparsh Uprety (Washington State University), Xinghui Zhao (Washington State University)
  • User Diversity in Advanced Driving System's Design and Validation: Empirical Insights for Parking Assistance Systems
    Cindy Demuth (Technical University Braunschweig), Nick Schade (Technical University Braunschweig), Anne Paschke (Technical University Braunschweig), Sarah Rachut (Technical University Braunschweig), Jürgen Pannek (Technical University Braunschweig)
  • An Explainable Deep Learning-based Intrusion Detection Framework for Smart Mobility
    Otuekong Ekpo (Scuola IMT Alti Studi Lucca), Valentina Casola (University of Naples Federico II), Philip Asuquo (University of Uyo), Bright Agbor (University of Uyo)

Panel Discussion: It’s 2026 - Is Autonomous Driving Research Still Relevant?

   Moderator: Weisong Shi (University of Delaware)

   Panelists:  Tony G. Geara (Former Deputy Chief of Mobility Inovation, City of Detroit)

                       Ziran Wang (Assistant Professor, Purdue University)

                      Jeff White (Chief Architect – Office of the CTO, Ernst and Young LLP)

                      Dalong Li (Sr. Applied Scientist, Samsara)

                      Simon Thompson (Director of Engineering, Research, at TIER IV)


Paper Session 5: Safety and Security

   Session Chair: Xinghui Zhao (Washington state university)

  • Secure-BSM: Blockchain-Assisted Collaborative Misbehavior Detection in Vehicular Networks
    M M Imran (Wayne State University), Yi Zhu (Wayne State University), Shiyong Lu (Wayne State University)
  • Log What Matters: Safety-Aware Adaptive Logging for CAVs in Dynamic Conditions
    Johora Akter Polin (William & Mary), Yichen Luo (William & Mary), Sumaiya (Wayne State University), Zheng Dong (Wayne State University), Sidi Lu (William & Mary)
  • A Reproducible, Data-Driven Framework for Safety and Functionality Verification of Level-4 Automated Buses Through Real-World Testing
    Doğacan Dolunay ACAR (ADASTEC Corp.), Kaan ÇAKIN (ADASTEC Corp.), Demet TÜMKAYA (Koç University), Ergün CAN (ADASTEC Corp.), Cemre KAVVASOĞLU (ADASTEC Corp.), Kerem PAR (ADASTEC Corp.), Ali Ufuk PEKER (ADASTEC Corp.)
  • Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation
    Haosong Xiao (University at Buffalo), Yamini Ramesh (University at Buffalo), Rishabh Shukla (University at Buffalo), Swarat Sarkar (University at Buffalo), Chaozhe He (University at Buffalo)

PISA Workshop Paper Session 1: Systems and Algorithmic Methods

   Session Chair:

  • RL-Enabled LoS Blockage Avoidance for Visible Light Robot Localization
    Lyall Sathishkumar (University of Michigan-Dearborn); Rathikadevi Mani (University of Michigan-Dearborn); Saravana Srinivasan (University of Michigan-Dearborn); Xiao Zhang (University of Michigan-Dearborn)
  • MAPLE: Multi-session Anchor-based Point Cloud Closure for Efficient Merging
    Ren Zhong (wayne state university); Tianyang Chen (University of Delaware); Weisong Shi (university of Delaware)
  • Runtime Learning of Quadruped Robots in Wild Environments
    Yihao Cai (Wayne State University); Yanbing Mao (Wayne State University); Abhilash Pandya (Wayne State University); Lui Sha (University of Illinois Urbana-Champaign); Hongpeng Cao (Technical University of Munich); Marco Caccam (Technical University of Munich)

PISA Workshop Paper Session 2: Applications and Real-World Deployment

   Session Chair:

  • TinyLite: Efficient Edge Intelligence for Real-Time Spam Detection Under Device Constraints
    Xuanlin Zhu (Wiliam & Mary); Johora Polin (Wiliam & Mary); Sidi Lu (Wiliam & Mary)
  • DaVoS: An Instantaneous Safety Model for Autonomous Vehicles
    Yuankai He (University of Delaware); Yuxin Wang (University of Delaware); Boyang Tian (University of Delaware); Weisong Shi (University of Delaware)
  • The on-Robot Needs for Emboided AI
    Shaoshan Liu (PerceptIn)