November 14 - 15, 2022
2022 Virtual IEEE International Symposium on Technologies for Homeland Security

Technical Program

Monday, November 14, 2022

9:30 - 9:45 AM: Welcome to HST 2022 Technical Program Overview & Best Paper Awards Gerald Larocque, MIT Lincoln Labortory / Anthony Serino, Raytheon 9:45 - 12:00 Noon: Track: Climate and Homeland Resilience 9:45 - 10:45 AM: Technology for Community Resilience, Part I Grace Kessenich, MIT Lincoln Laboratory 23: Urban Resilience Capabilities: Applying Capability Analysis to Improve Local Government Planning and Policymaking Sarah Dobie (RAND Corporation and University of Michigan)*; David Luckey (Pardee RAND Graduate School and RAND Corporation); Thomas Deen (RAND Corporation and University of Georgia) 37: Resilience of Urban Rail Transit Networks under Compound Natural and Opportunistic Failures Jack R Watson (Northeastern University)*; Samrat Chatterjee (Pacific Northwest National Laboratory); Auroop Ganguly (Northeastern University) 42: Disruption-Robust Community Detection Using Consensus Clustering in Complex Networks Md Taufique Hussain (Indiana University)*; Arif Khan (Pacific Northwest National Lab); Ariful Azad (Intelligent System Engineering, Indiana University,Bloomington,IN); Samrat Chatterjee (Pacific Northwest National Laboratory); Robert Brigantic (Pacific Northwest National Lab); Mahantesh Halappanavar (Pacific Northwest National Laboratory) 10:45 - 12:00 PM: Technology for Community Resilience, Part II Grace Kessenich, MIT Lincoln Laboratory 6: Resilient First Responder Paging via ATSC 3.0/NEXT GEN TV Frederick E Engel (PBS North Carolina)* 47: Evaluation of Navigation and Trajectory-following Capabilities of Small Unmanned Aerial Systems Edwin D Meriaux (Umass Lowell); Kshitij Jerath (University of Massachusetts Lowell)* 41: Operationalizing Resiliency among Childcare Providers during the COVID-19 Pandemic Jessica W Pardee (Rochester Institute of Technology)*; Jennifer L Schneider (RIT); Cindy Lam (RIT) 12:00 - 1:00 PM: Lunch 1:00 - 5:00 PM: Track: Cyber Security 1:00 - 2:00 PM: Securing the Edge - IOT and Robotics Hong Liu, UMass Dartmouth 9:  Secure Robotic Vehicles: Vulnerabilities and Mitigation Strategies Anton D Hristozov (Purdue University)*; Eric Dietz (Purdue University ); Eric Matson (Purdue University); John Gallagher (University of Cincinnati); Marcus Rogers (Purdue University) 55:  Secure Robust Wide Area Communications for Electric Utilities Mark G Adamiak (PCItek)* 26:  Securing Over-the-Air Firmware Updates (FOTA) for Industrial Internet of Things (IIOT) Devices Kenneth G Crowther (XYLEM INC.)*; Radhika Upadrashta (Xylem Inc.); Gururaj Ramachandra (Xylem Inc.) 2:00 - 3:00 PM: Applications of Machine Learning Firas Glaiel, Raytheon 39:  Efficient Clustering of Software Vulnerabilities using Self Organizing Map (SOM) Khyati Panchal (Washington State University)*; John Miller (WSU); Luis DeLaTorre (WSU); Siddhartha Das (Purdue); Mahantesh Halappanavar (Pacific Northwest National Laboratory) 14:  Machine Learning Models for Network Traffic Classification in Programmable Logic Matthew W Andesron (Idaho National Laboratory)* 38:  Towards Automatic Mapping of Vulnerabilities to Attack Patterns using Large Language Models Siddhartha Shankar Das (Purdue University)*; Ashutosh Dutta (Pacific Northwest National Laboratory); Sumit Purohit (Pacific Northwest National Laboratory); Edoardo Serra (Boise State University); Mahantesh Halappanavar (Pacific Northwest National Laboratory); Alex Pothen (Purdue University) 3:00 - 4:00 PM: Policy & Frameworks for Cyber Security Thomas Edgar, Pacific Northwest National Laboratory 10:  A Distributed Privacy-Preserving Integrity Verification Framework for the Smart Grid Gaurav S Wagh (Rochester Institute of Technology); Sumita Mishra (Rochester Institute of Technology)* 31:  Analytics for Cybersecurity Policy of Cyber-Physical Systems Nazli Choucri (Massachusetts Institute of Technology)* 40:  The Most Common Control Deficiencies in CMMC non-compliant DoD contractors Vijay Sundararajan (Purdue University)*; Arman Ghodousi (Secure Open Solutions (SOS)); Eric Dietz (Purdue University ) 4:00 - 5:00 PM: Threat Modeling and Simulation Hong Liu, UMass Dartmouth 59:  Cost-Efficient Network Protection Games Against Uncertain Types of Cyber-Attackers Zhifan Xu (Rutgers, The State University of New Jersey)* Melike Baykal-G¨ursoy (Rutgers, The State University of New Jersey) 33:  Impact-Driven Sampling Strategies for Hybrid Attack Graphs Sumit Purohit (Pacific Northwest National Laboratory)*; Omer Subasi (Pacific Northwest National Laboratory); Arnab Bhattacharya (Pacific Northwest National Laboratory); Samrat Chatterjee (Pacific Northwest National Laboratory) 35:  Optimizing Cybersecurity Budgets with AttackSimulation Alexander Master (Purdue University)*; George Hamilton (Purdue University); Eric Dietz (Purdue University ) Tuesday, November 15, 2022 9:00 - 12:00 Noon: Track: Border Security, Critical Infrastructure Protection, and Law Enforcement 9:00 - 10:20 AM: Maritime Security Chair: Arash Samani, BAE Systems 12:  Complex Economic Consequence Analysis to Protect the Maritime Infrastructure Dennis Egan (Rutgers University); Christie Nelson (Rutgers University)*; Fred S Roberts (Rutgers University); Adam Rose (USC); Andrew Tucci (Rutgers University & Ret. USCG); Ryan Whytlaw (Rutgers University) 8:  Low-cost multimodal integrated marine surveillance system Hady Salloum (Stevens Institute of Technology MSC); Alexander Sutin (Stevens Institute of Technology); Nikolay Sedunov (Stevens Institute of Technology); Alexander Sedunov (Stevens Institute of Technology)* 58:  A Framework for Using Species Distribution Models for Geographic Attribution in Forensic Palynology Haoyu Wang (University of Texas at Austin)*; Jennifer Miller (University of Texas at Austin) 10:20 - 11:20 AM:  Image and Face Recognition Chair: Arash Samani, BAE Systems 43:  Is Facial Recognition Biased at Near-Infrared Spectrum As Well? Anoop Krishnan Upendran Nair (Wichita State University); Brian Neas (Wichita State University); Ajita Rattani (Wichita State University)* 4:  Hyperdimensional Computing Encoding Schemes for Improved Image Classification Olivia G d'Aliberti (Leidos)* 13:  Juvenile Morph Dataset: A Study of Attack Detectability and Recognition Vulnerability Kelsey O'Haire (West Virginia University); Sobhan Soleymani (West Virginia University)*; Samuel Price (West Virginia University); Nasser Nasrabadi (West Virginia University) 11:20 - 12:20 PM: Machine Learning for Homeland Security I Bengt Borgstrom, MIT Lincoln Laboratory 25:  Low-size and low-cost acoustic buoy for autonomous vessel detection Alexander Sedunov (Stevens Institute of Technology)*; Hady Salloum (Stevens Institute of Technology); Alexander Sutin (Stevens Institute of Technology); Christopher Francis (Stevens Institute of Technology); Nikolay Sedunov (Stevens Institute of Technology) 44:  Military Uniform Identification For Search And Rescue (SAR) through Machine Learning Kevin J Fernandez (United States Military Academy)* 34:  Leveraging Intermediate Node Evaluation to Secure Approximate Computing for AI Qiaoyan Yu (University of New Hampshire)* 12:20 - 1:00 PM: Lunch 1:00 - 5:00 PM: Track: Border Security, Critical Infrastructure Protection, and Law Enforcement continued 1:00 - 2:00 PM: Machine Learning for Homeland Security II Bengt Borgstrom, MIT Lincoln Laboratory 5:  Low-cost multichannel radio direction finding system based on software-defined radio Alexander Sedunov (Stevens Institute of Technology)*; Hady Salloum (Stevens Institute of Technology); Nikolay Sedunov (Stevens Institute of Technology); Alexander Sutin (Stevens Institute of Technology) 61:  Analysis of  the Effects of Wavelength Band Selection and Data Fusion Techniques on  Multiple-modality Homeland Security Airborne Scenes with Dense Deep Learning Models Christopher Good (CMINDS Research Center, Umass Lowell); Dalila B. Megherbi (CMINDS center /ECE, UMASS Lowell) * 50:  A Comprehensive Dataset for Benchmarking Hyperspectral Imaging Systems Abigail Stone (Tufts University)*; Shishir Rao (Tufts University); Srijith Rajeev (Tufts University); Karen Panetta (Tufts University); Sos Agaian (Tufts University) 2:00 - 3:20 PM: Search and Rescue Rich Moro, Raytheon 29:  AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning (Extended Abstract) Aowabin Rahman (Pacific Northwest National Lab.)*; Arnab Bhattacharya (Pacific Northwest National Laboratory); Sayak Mukharjee (Pacific Northwest National Lab.); Thiagarajan Ramachandran (Pacific Northwest National Lab.); Himanshu Sharma (Pacific Northwest National Laboratory); Ted Fujimoto (Pacific Northwest National Laboratory); Samrat Chatterjee (Pacific Northwest National Laboratory) 46:  Reinforcement Learning for Collaborative Search and Rescue Using Unmanned Aircraft System Swarms Ross Arnold (US Army)* 60:  UNIMODAL: UAV-Aided Infrared Imaging Based Object Detection and Localization for Search and Disaster Recovery Shubhabrata Mukherjee (University of Missouri Kansas City)* 30:  Human Trafficking Interdiction Problem: A Data Driven Approach to Modeling and Analysis Arunabha Sen (Arizona State University); Suli Adeniye (Arizona State University); Kaustav Basu (Arizona State University)*; Shreyas Ravishankar (Arizona State University); Jorge Sefair (Arizona State University); Dominique Roe- Sepowitz (Arizona State University); Edward Helderop (University of Texas, Austin); Tony Grubesic (University of Texas, Austin) 3:20 - 4:20 PM: Human-Machine Teaming Rich Moro, Raytheon 51:  Multiuser, multimodal sensemaking cognitive immersive environment with a task-oriented dialog system Shannon Briggs (Rensselaer Polytechnic Institute)* 19:  Defining Time-Varying Metrics of Task Conflict in Human/Robot Teams Using Simulated Agents Audrey K Balaska (Tufts University)*; Jason H Rife (Tufts University) 20:  Universal Simulation Platform, a VR Simulator for IED Neutralization Training Arman Hamzehlou Kahrizi (Toronto Metropolitan University)*; Alexander Ferworn (Toronto Metropolitan University); Christopher CK Chan (Ryerson University); Mihal Miu (Toronto Metropolitan University) 4:20 - 5:20 PM: Machine Learning for Automation Bengt Borgstrom, MIT Lincoln Laboratory 36:  Human-Supervised Automation Test Cell to Accelerate Personal Protective Equipment Manufacturing During the COVID-19 Pandemic Michael H Shaham (Northeastern University)*; Mark Zolotas (Imperial College London); Taskin Padir (Northeastern University) 2:  Edge-based Infrared-ultrasonic Anti-collision Radar System for Robotic Navigation Kosisochukwu Pal Nnoli (Jacobs University Bremen gGmbH); Mbadiwe Samuel Benyeogor (Department of Physics, Westfälische Wilhelms-Universität Münster) *; Jones Bolu (NPower Canada ON M6A 3B4 Toronto); OLadayo Olakanmi (Department of Electrical and Engineering, University of Ibadan, Ibadan, Oyo, Nigeria)  
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