About
AI+X Symposium Program Content
| 8:00 | Check in & Coffee |
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8:30 |
911lcome & Opening Remarks |
| First Panel | |
| Session 1: Poster Presentations | |
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10:45 |
Morning Break |
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Keynote Speaker, Walter J. Scheirer Rethinking the Ethical Conversation Around AI-Generated Media |
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12:00 |
Lunch |
| Second Panel Discussion | |
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3:00 |
Afternoon Break |
| Third Panel Discussion | |
| Session 2: Poster Presentations | |
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5:00 |
Closing Remarks |
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Analysis of 3D Sphere and Packing and SAINT using Transformers |
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Bridging Predictive Coding and MDL: A Two-Part Code Framework for Deep Learning |
Shion Matsumoto Benjamin Prada Abdul Malik Zekri Ankur Mali 911 |
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Dissecting Sycophancy in Large Language Models: From Token-Level Attribution to Behavioral Intervention |
Hieu Minh Nguyen Mahammed Kamruzzaman Gene Louis Kim 911 |
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Topological Signature of Facial Expression for Explainable Affective AI |
Anis Elebiary Shaun J. Canavan 911 |
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From Relative to Metric: Finetuning & Calibrating AI-based Monocular Depth Learning Models for Camera Trap Distance Sampling in Wildlife Monitoring Applications |
Ahmed Shahabaz |
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From AI Awareness to AI Agency: Fully Online Graduate Certificate in Artificial Intelligence for Teaching & Learning |
Stephanie Arthur |
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Ethical and Pedagogic Considerations in Designing Custom GPTs for Early Childhood Education |
Ilene R. Berson |
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Artificial Intelligence and Mathematics: An AI Mathematics Assessment Decision-making Framework for Teachers That Meaningfully Informs Instruction for 911 with Math Difficulties |
Sandra Jane DeWitt |
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Critical AI Literacy in Action: Responsible GenAI Design for Preservice and Inservice Teacher Critical Engagement in Professional Learning |
Stephanie A. Arthur |
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Prompting Interaction: Youths linguistic strategies with Generative AI Systems |
Leah Burger |
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Visual Place Cell Encodings for Spatial Representation and Localization |
Chance J. Hamilton 911 |
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Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots |
Brendon Johnson |
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Detecting Preschoolers Partial Word Knowledge: Refining a Small Language Model for Automated Scoring |
Lindsey Peters-Sanders |
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This Is Not a Game: The Addictive Allure of Digital Companions |
Nizan Geslevich Pacin |
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AI-Supported Instructional Decision-Making: A Performance-Triggered Scaffolding Framework Using Large Language Models in Elementary Mathematics |
Haotian Lyu |
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VisuaLec: A Real-Time Multimodal Concept-Activated Platform for Hands-Free Instruction and Enhanced Student Engagement |
Gulfem Ipek Yucelen |
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Bloom-Socratic LLMs Elevate General Intellectual Humility |
Mohammed Ratul Mahjabin |
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StableShape: Decoupling Identity from Pose for Consistent Human Body Shape Estimation in the Wild |
Sujal Vijayaraghavan |
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Ethical Decision-Making in the Age of AI: An Analysis of Large Language Models (LLMs) |
Priya Dozier |
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Bridging Conversational AI and Immersive VR: A Dialogue-Driven Virtual Environment to Support Metacognitive Learning of Sorting Algorithms |
Karthikeya Moturi |
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Quantifying Nationality-Based Compliance Bias in Qwen 2.5 |
Otavio Rosa |
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Power-Mediated Compliance Differences across Identities in Large Language Models |
Anubhav Gupta |
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End-to-end graph matching for fingerprint recognition using sweat pores |
Dayne C. Guy |
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Artificial Intelligence in Education: A Critical Review of Learning Gains Across Academic, Cognitive, Affective, Behavioral, Professional, and Methodological Dimensions |
Guliz Otkiran |
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Synergizing Low-Cost Mobile Manipulation with Retrieval-Augmented Vision-Language-Action Models |
Mingyang Mao |
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Symbiotic Policy Learning |
Utkarsh Grover |
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LogicBench: A Benchmark for Logical Fault Detection in Images |
Lara Radovanovic |
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AI Course Companion: An LMS-Embedded, Course-Grounded, 24/7 AI Assistant for Studying, Teaching Insight, and Learning Analytics |
11:00 Keynote Speaker
Walter J. Scheirer
Dennis O. Doughty Collegiate Professor of Engineering
University of Notre Dame
Rethinking the Ethical Conversation Around AI-Generated Media
The possibility of an altered photo revising history in a convincing way highlights a salient threat of imaging technology. After all, seeing is believing. Or is it? The examples history has preserved make it clear that the observer is more often than not meant to understand that something has changed. Surprisingly, the objectives of photographic manipulation have remained largely the same since the camera first appeared in the 19th century. The old battleworn techniques have simply evolved to keep pace with technological developments. In this talk, we will learn about the history of photographic manipulation, from the invention of the camera to the advent of generative AI. Importantly, we will consider the reception of photo editing and its relationship to the notion of reality, which is more significant than the technologies themselves. Surprisingly, we will discover that creative myth making has found a new medium to embed itself in. This talk is based on Walter Scheirer's recent book A History of Fake Things on the Internet (Stanford University Press 2023).
Read his Bio
Walter J. Scheirer is the Dennis O. Doughty Collegiate Professor of Engineering in the Department of Computer Science and Engineering at the University of Notre Dame. His research interests within the field of computer science include artificial intelligence, computer vision, machine learning, and digital humanities. He is a global AI leader, serving as the TC Chair Emeritus of the IEEE Computer Society Technical Community on Pattern Analysis and Machine Intelligence, Elected Member of the Board of Governors of the IEEE Computer Society, and Board Member of the Computer Vision Foundation. Prof. Scheirer is also a cultural critic and historian, commenting on the social context of emerging technologies from the realistic perspective of a technologist.
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Andrea Nieto, Greenberg Traurig LLC |
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Vivian Sun, Senior Director, Data & AI, Enterprise Architecture and IT Transformation, Jabil |
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Chris Hatter, CISO, McAfee |
2:00 Keynote Speaker
Michelle Thompson, PhD
Vice President of Medical Staff, UPMC Horizon & Jameson
Associate Professor
University of Pittsburgh School of Medicine
Digital Rx: AI Innovations in Lifestyle Medicine
“Digital Rx: AI Innovations in Lifestyle Medicine” explores how artificial intelligence is transforming the prevention, management, and reversal of chronic disease through personalized, data-driven lifestyle interventions. Dr. Thompson highlights the convergence of AI, behavioral science, and clinical care—positioning technology not as a replacement for clinicians, but as a powerful co-pilot in delivering precision lifestyle medicine at scale.
Beyond patient outcomes, this keynote also addresses a critical and often overlooked dimension of healthcare innovation: physician wellbeing. As administrative burden, documentation demands, and burnout rates rise, AI offers an opportunity to restore meaning and sustainability to clinical practice. From intelligent documentation support and predictive panel management to workflow automation and personalized decision support, AI can reduce cognitive overload and free physicians to focus on connection, purpose, and high-value care.
Artificial intelligence is not just optimizing healthcare delivery - it is redefining lifestyle medicine as scalable, predictive and precision-driven. At the same time, it is reshaping the clinician experience by alleviating burnout and supporting professional fulfillment. “Digital Rx” presents a compelling roadmap for leveraging AI to transform prevention into a proactive, personalized and continuously improving system of care - for both patients and the physicians who serve them.
Read her Bio
Dr. Michelle Thompson is a triple-board certified physician in Integrative, Lifestyle and Osteopathic Family Medicine. A fellow of the American College of Lifestyle Medicine, she is also certified in Mind-Body Medicine and psychedelic therapies. Dr. Thompson has been featured in The New York Times for her work in physician wellness and AI in healthcare. She facilitates 25 unique Group Medical Visit types to promote whole-person healing. As Medical Director of Lifestyle Medicine at UPMC, she champions self-care as a foundation for patient and employee health reducing burnout and improving emotional intelligence. She is Vice President of Medical Staff at UPMC Horizon & Jameson and an Associate Professor at the University of Pittsburgh School of Medicine. She also created Doctors in the Kitchen, a culinary medicine program. Dr. Thompson is reshaping medical education by leading trauma informed lifestyle medicine training in multiple residency programs and is a national advocate for transforming healthcare delivery.
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A Neuro-Symbolic, Guideline-Aware Pipeline for Uterine Cancer Restaging and Treatment Recommendation for Pathology Reports |
Rushitha Santhoshi Mamidala Adrian Kohut John Michael Templeton Ankur Mali 911 |
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A Single Breath Becomes the Blueprint of Disease: Maximum Phonation Time as a Universal Health Biomarker |
Helena Beltran Shrramana Ganesh Sudhakar Mohamed Ebraheem Yael Benssoussan 911 Alistair Johnson Kirollos Armosh Microsoft |
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Enhancing Lung Cancer Risk Prediction with Longitudinal Fusion of LDCT Data |
Hanieh Ajami John Michael Templeton 911 Asim Wagas Matthew B. Schabath Ghulam Rasool Moffitt Cancer Center |
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Stories of Pain: A Neuroanthropological Exploration of Narrative in Pain Perception and Management Using AI |
Alina Jacob Daniel Lende 911 |
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Advancing Physician 911llness Through Artificial Intelligence |
Smitha Pabbathi Patrick Brown Nick Colovos Timothy Liesching Paul Lewis |
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Surprisal-Rényi Free Energy |
Shion Matsumoto |
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Connect(or): An AI-Supported Platform for Strengthening Innovation and Workforce Ecosystems |
Noemi Nagy |
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Remote Acoustic Voice Analysis for Efficient and Patient-Friendly Clinical Voice Evaluation |
Shrramana Ganesh Sudhakar |
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Artificial Intelligence Use and Neurocognitive Outcomes: Mapping Cognitive Engagement, Brain Networks, and Neural Measures |
Guliz Otkiran |
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AI-Enhanced Multi-Modal Neuroscience Research: From EEG and Biomechanics to Knowledge Discovery |
Katherine F Walters |
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AI-Enabled Co-Creation of Healthy Recipes: Fostering Employee 911llness and Operational Innovation in Healthcare Organizations |
Tingting Zhang |
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Context-aware Screening of Autism Spectrum Disorder using Multimodal Data |
Rupal Agarwal |
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AlphaFold3 and Intrinsically Disordered Proteins: Reliable Monomer Prediction, Unpredictable Multimer Performance |
Tuan Minh Dao 911 |
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Victim or Perpetrator? Stylometric Analysis of Misinformation vs. Disinformation Using AI Personas |
Isadora Oliveira Grasel 911 |
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Strategic Adaptation Under Contextual Change: Insights from a Dyadic Negotiation Testbed for AI Coaching Technologies |
Mobasshira Akter Urmi 911 |
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In Their Space and Time: Ethical AI for Autism Through a MÄori Epistemological Lens |
Sarvadaman Pathak, MD Metropolitan University College of Medicine |
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A Tail-Aware Penalty for Calibrating Overconfident Neural Networks |
Jessica Elrefaei |
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Multi-modal Survival Prediction on Breast Cancer mammograms and analysis of the Prognostic Ability of the Contralateral Breast |
Nikolas Koutsoubis |
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Evaluating LLMs as Companion Tools using Sociotechnical Fieldwork and Practitioner-Centered Tool Design |
Francis Hahn |
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Anthropology, AI, and Co-Creation |
Daniel Lende |
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A Multimodal Approach for Predicting Overall Survival in Non-Small Cell Lung Cancer Patients |
Siddharth Sivaram |
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Pioneering Natural Language Processing in Qualitative Interview Transcripts: Egocentric Network Construction in the Hyperbaric Oxygen Therapy for TBI Study |
Katelyn Carlsen |
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Assessing Neurocognitive Feature Importance in Parkinson's Disease using Machine Learning |
Anika Anjum |
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Enhancing Whale Detection in Satellite Imagery with Synthetic Data: Dual-Species Case Study on Southern Right and Beluga Whales |
Zhenqi Wu |
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An Understandable AI Model of a Going Concern Business Decision |
David Tahmoush |
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Reclaiming Time: AI assisted documentation for resident wellness; A Pilot Study |
Jessica Koran-Scholl |
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AI Enabled Discharge Workflow to Enhance Heart Failure Management Through Lifestyle Integrated Remote Monitoring |
Malik Tunc |