2026 IEEE International Conference on AI and Data Analytics
(ICAD 2026)
June 11 – 12, 2026
Boston, Massachusetts
ICAD 2026 Technical Program
Thursday, June 11
8:00 AM 3:00 PM Registration and Check-in
8:30 AM – 8:45 AM Opening Ceremony
8:45 AM – 9:30 AM Keynote
The New Time Paradigm: Bridging the AI Gap from Rapid Prototype to Enterprise Reality
Dr. Stefanie Chiras, Senior Vice President, AI innovation Hub, Red Hat
9:30 AM – 10:15 AM Keynote
AI and HPC Systems Trends, Challenges, and Opportunities
Dr. Samantika Sury, Vice President, HPE Fellow, Chief Hardware Architect, HPC and AI Solutions, Hewlett Packard Enterprise
10:15 AM – 10:30 AM Coffee Break & Transition to Tracks
10:30 AM – 11:30 AM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
29: DataScribe: An Automated EDA and Narrative Reporting Framework for Accessible Data Analysis presented by Anushree Mishra (KCC ITM)*
35: Synthetic Data for Training & Evaluation in Financial Fraud Detection: A SMOTE-Powered KAN-XGBoost Framework with SHAP Interpretability presented by RAJESH LINGAM (Independent Researcher)*
180: Optimizing Lexicon Design for Micro-Resource Code-Mixed Disfluent Speech Recognition presented by Anuran Mitra (Jadavpur University); Tapabrata Mondal (Jadavpur University); Sivaji Bandyopadhyay (Jadavpur University)*
Track 2: Applied AI & Analytics in Industry and Enterprise
5: Using Deep Learning and Bayesian Optimization for Construction of Optical Coatings for PV Applications presented by Nishikant Sonwalkar (AdaptiveWaves Inc.)*; Siddha Karjee (AdaptiveWaves Inc.)
21: Technological Solution with Machine Learning to Mitigate Labor Informality in MSMEs in Metropolitan Lima presented by Piero Ramirez (Universidad Nacional Mayor de San Marcos); Jose Cjumo (Universidad Nacional Mayor de San Marcos)*; Igor Aguilar (Universidad Nacional Mayor de San Marcos )
23: Trust-Aware Explainable AI for Credit-Card Fraud Detection: An XAI-Driven Decision Support System with SHAP, Counterfactuals and a Trust Index presented by Sushant Gavaraskar (Vishwakarma Institute of Information Technology Pune, India)*
44: Optimized DenseNet-based Approach for Efficient Skin Disease Diagnosis presented by bodoor Aljohani (Taibah University)*; Kawthar Alsayed (Taibah University); Liyakathunisa Syed (Taibah University)
Track 3: Frontiers in AI and Data Analytics
17: Hidden Stylistic Schools of Pre-Islamic Poetry presented by Salem Othman (Wentworth Institute of Technology)*; Youssef Qranfal (Wentworth Institute of Technology)
117: Neural Vision- Language Modeling for Automated Image Caption Generation presented by Reshma Chadaram (Institute of Aeronautical Engineering)*
132: On the Geometric Limits of Transformer Defenses against Obfuscation Attacks: Latent Embedding Collapse & Performance–Robustness Gap presented by Becky Mashaido (University of the Pacific); Tapadhir Das (University of the Pacific)*
Track 4: Responsible AI, Safety & Governance
30: GrievTech: A Predictive AI System for Simulating and Analysing Public Grievance Redressal Workflows presented by Aditri Banerjee (Amity University Noida, Noida Uttar Pradesh)*; Akshit Jain (Amity University Noida, Noida Uttar Pradesh); Anushka Gupta (Amity University Noida, Noida Uttar Pradesh); Richa Sharma (Amity University Noida, Noida Uttar Pradesh); Monica Kaushik (Amity University Noida, Noida Uttar Pradesh)
38: TraceX: Central Finite-Difference Explainability for AI-Based Financial Credit Evaluation presented by Memoona Aziz (Western University Ontario); Muhammad Umair Danish (Western University Ontario)*; Katarina Grolinger (Western University Ontario); Umair Rehman (Western University Ontario)
39: Governance-First Approach for Responsible AI: Integrating Regulation, Policy, and Oversight presented by Vivek Madan (Fo rtinet Inc)*
91: Predictive Quality Engineering in Distributed Data Platforms Using Machine Learning presented by Jay Bharat Mehta (Cleveland State University)*
11:30 AM – 12:30 PM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
93: Predicting St. Louis Housing Prices with Machine Learning on Market and Assessor Data presented by Brian Adler (University of Missouri-St. Louis)*; Anne Brown (Washington University in St. Louis)
101: Pattern recognition and prediction with a hidden Markov-linear regression model presented by Ekaterina Vedennikova (University of Latvia)*; Dmitry Gromov (University of Latvia)
144: Self-Evolving AI Systems: Stability–Plasticity Trade-Offs and Regret-Aware Learning in Deployed Machine Learning presented by RAJ KUMAR MYAKALA (CVS Health)*; Vinithya reddy Podduturi (World bank); AKHIL REDDY JAGIRAPU (university of north texas)
157: Multi-modal Causal Reasoning from Sparse Image Datasets: A Synthesis and Discovery Framework presented by Atul Rawal (Towson University)*; Adrienne Raglin (DEVCOM Army Research Lab
Track 2: Applied AI & Analytics in Industry and Enterprise
46: An Explainable Machine Learning Approach of Detecting Denial of Service Attacks in 5G Networks presented by João Victor Jales Ramos ( Electrical Engineering Department, Federal University of Campina Grande); Matheus Vilarim P. dos Santos (Electrical Engineering Department, Federal University of Campina Grande); Fernando Luiz F. Barros (Electrical Engineering Department, Federal University of Campina Grande); Edmar C. Gurjão (Electrical Engineering Department, Federal University of Campina Grande); Paola Pimentel Furlanetto (Independent Researcher)*
69: Reservoir Computing Based Anomaly Detection in Industrial Control Systems presented by Andre Slonopas (APUS)*; Edward Olbrych (Virginia Polytechnic Institute and State University); Michael Corley (Army National Guard); Jacob Strahan (Huntington Ingalls Industries)
90: Adaptive NeuroDefense: Graph Neural Network and Reinforcement Learning-Based Self-Healing Cybersecurity Architecture presented by Rohidh S (Paavai College of Engineering)*; Manoj Kumar R ( Paavai College of Engineering); Srinivasan K (Paavai College of Engineering); Sibirajan D ( Paavai College of Engineering); Sakthivel G ( Paavai College of Engineering); Iniavan G (Paavai College of Engineering)
Track 3: Frontiers in AI and Data Analytics
139: MRI-AgentNet: A Vision Language Models-Based Multi-Agent AI System for Solving Inverse Problems in MRI presented by Gulfam Ahmed Saju (University of Massachusetts Dartmouth); Marjan Akhi (University of Massachusetts Dartmouth); Yuchou Chang (University of Massachusetts Dartmouth)*
140: Quantization and its Effects about Reinforcement Learning on Quantum Neural Network Wrapped in Classical Encoder presented by Jacob Fronzaglia (University of Massachusetts Dartmouth); Yuchou Chang (University of Massachusetts Dartmouth)*; Christopher Hixenbaugh (Naval Undersea Warfare Center Division Newport)
148: Multi-Dimensional Evaluation Framework for Generative AI Applications with Dynamic Data Sources presented by Vishwanath Pattar (Hewlett Packard Enterprise)*; Vishnuram Venkataswamy Sampathkumar (Hewlett Packard Enterprise); Lohith Reddy Kalluru (Hewlett Packard Enterprise)
171: Multiplier-Free LLM Linear Layers via Weights-Only Power-of-Two QAT presented by Ikteder Akhand Udoy (Boise State University)*; Omiya Hassan (Boise State University)
Track 4: Responsible AI, Safety & Governance
113: From Belief to Behavior: Modeling and Tracking Moral Alignment in Autonomous Agents presented by Soraya Partow (Georgia Southwestern state university)*; Satyaki Nan (Georgia Southwestern State University)
127: Mitigating Risks in Agents and Robots presented by Mark Maybury (Lockheed Martin)*
130: Privacy Awareness in Large Language Models: Input Regurgitation and Prompt-Induced Sanitization for HIPAA and GDPR Compliance presented by Aravinda Jatavallabha (Independent Researcher)*; Venkatesha Matam (Independent Researcher); Praveen Kumar Reddy Vavilla (Independent Researcher)
136: Beyond Artificial Certainty: Synthetic Socratic Inquiry for Trust Calibration in AI-Augmented Higher Education presented by Zomana Majid (ReliSource Inc.)*; Wasim Chaudhuri (ReliSource Inc.); Vijay Kanabar (Boston University)
12:30 PM – 1:30 PM Lunch / Posters / Sponsors
Poster Session
1: SECUREVISION: Deepfake and Face Spoofing Detection presented by Rashmi M (Alvas Institute of Engineering and Technology)*; Darshan Halakerimath (Alvas Institute of Engineering and Technology); Priyanka I. Sakhare (Alvas Institute of Engineering and Technology); Shruthi N (Alvas Institute of Engineering and Technology)
3: MindSync: AI-Powered Multimodal Mental Health Companion for Real-Time Emotional Assessment and Crisis Intervention presented by Mohamed Usan Abubucker Siddique (National Engineering College)*; Madhan M (National Engineering College); Soorya M (National Engineering College)
4: EDUTRACK: An AI-powered Adaptive Learning and Recommendation System for Online Courses presented by Varun Rao (New Horizon College Of Engineering)*
15: Smart Academic Planner: An AI-Driven System for Personalized Study Recommendations presented by Tejashree Shinde (VIIT Pune)*; Sanika Joil (VIIT, Pune); Dr.Pravin Futane (VIIT Pune)
40: Computational Screening of Adenosine Deaminase Acting on RNA 1 (ADAR1) Inhibitors as Potential Therapeutics for Glioblastoma Multiforme (GBM) presented by Ayaan Garg (Eigen Sciences LLC); Gaurav Sharma (Eigen Sciences LLC)*
48: AI-Driven Transformation in Embedded Software Unit Testing presented by Olga Koroleva (Schneider Electric)*
54: The SwiftUI Migration Imperative: A Longitudinal Study on Modernizing a Large-Scale Objective-C and UIKit Codebase presented by Snehal Mehta (Wal Mart Associates Inc)*
82: Targeting MAP kinase ERK2: A Solution for Neurodegenerative Disorders presented by Haasini Bhupalam (AI Club Research Institute)*
92: Operational Intelligence Platform for Metro Tunnel Booster Fans using AI and IOT presented by Tharagesh K R (M Kumarasamy College of Engineering)*; Ramya N (M Kumarasamy College of Engineering); Bhoomika M (M Kumarasamy College of Engineering); Surendar Vasu S (M Kumarasamy College of Engineering); Chockalingam A L (M Kumarasamy College of ENgineering); Seenivasan D (M Kumarasamy College of ENgineering)
118: Logistic Regression as a Preliminary Step in an Antimicrobial Resistance Development Predictive Pipeline presented by Patrick Ayres (National University)*
120: Generative AI for Short-Video Feed Recommendation on KuaiRec: A Proxy Study for In-Feed Ad Optimization presented by Tanushree Nepal (University of Central Missouri)*; Aijing Feng (University of Central Missouri)
122: Forecasting Chlorine Concentrations in a Water Treatment Plant in the State of Florida, USA presented by Angelica Cortes Ortiz (National University )*; Mohammad Yavarimanesh (National University); Lawrence Fulton (National University); Samuel Carballo Nogueras (Alexander Orr)
129: Synthetic 5G dataset for DoS and DDoS detection presented by João Victor Jales Ramos (Electrical Engineering Department, Federal University of Campina Grande); Edmar C. Gurjão (Electrical Engineering Department, Federal University of Campina Grande); Matheus Vilarim P. dos Santos (Electrical Engineering Department, Federal University of Campina Grande Brazil); Paola Pimentel Furlanetto (Independent Researcher)*
137: Predicting The Impact of Race, Gender, and Ethnicity on Treatment Responses for Adolescents in JRI Mental Health Residential Program presented by Adwoa Osei-Yeboah (National University)*
141: Using a Convolutional Neural Network to Improve Ensemble Tropical Cyclone Track Forecasts across the Atlantic Basin presented by Nikita Agrawal (Massachusetts Institute of Technology)*; Brian Colle (Stony Brook University)
142: Design and Implementation of An Iot Enabled Hardware Interloaded Industrial Machine Protection presented by Manimegalai M (M.KUMARASAMY COLLEGE OF ENGINEERING)*
164: Future Directions of AI-Enabled Medical Devices Supported by Health Informatics presented by Saurabhkumar Bhatt (Campbellsville University)*; FNU Manu Priya (Northeastern University)
167: SiL-DT: A Simulation-in-the-Loop Digital Twin Framework for Resilient UAV Swarms in Dynamic Urban Environments presented by Tomiwa Oluwadare (University of Staffordshire)*; Pantaleon Lutta (University of Staffordshire); Habeeb Alli (University of Staffordshire)
168: A Spatiotemporal Machine Learning Model for Analysis and Prediction of Zostera Marina (Seagrass) presented by Mihir Bhat (Worcester Academy)*; Abani Patra (Tufts University)
169: A Novel Agentic and Swarm Architecture for Real-Time Trade Anomaly Detection presented by Subham Jena (Rutgers University New Brunswick)*
173: An Exploratory Data Analysis of Children’s Mental Health Factors Using Machine Learning Models presented by David He (Richard Montgomery High)*
195: Tourism-Oriented Route Recommendation for Electric Motorcycles via Semantic Grid Mapping and LSTM-Based Trajectory Modeling presented by Kyoung-yong Park (Korea Institute of Industrial Technology); Daniel Byun (Userconnect); Taehoon Kim (Korea Institute of Industrial Technology)*
200: A Multi-Node SDR Testbed for Data Generation and Real-Time Inference in Wireless Networks presented by Giovani DeOliveira (UMass Boston); Shaliah Fricas (UMass Boston); David Malone (UMass Boston); Austin Trinh (UMass Boston); Shabnam Azizi (UMass Boston); Michael Rahaim (UMass Boston)*
221: AI-Enabled Cardiovascular Risk Screening in Women with Sleep-Disordered Breathing: A Sex-Specific EHR Framework presented by Nhat Anh Dao (Harvard Medical School – BWH)*
231: Gated Attention for Small Language Models: Improving Efficiency, Stability, and Long-Context Robustness under Capacity Constraints presented by Mehdi Omidghane (Dartmouth College)*; Nikki Salami (Dartmouth College)
236: The Efficacy of ChatGPT Model GPT-3.5 in Debiasing Text while Retaining User Engagement presented by Aarav Daftary (Cambridge Center for International Research)*
244: Multi-Echelon Inventory Optimization (MEIO) Framework for Telecommunications Supply Chain Resilience presented by lakshmanaprakash Murugesan (Murugesan)*
1:30 PM – 2:30 PM Panel Discussion
Music AI: Where We’re At, Where We’re Going, and Who’s Coming With?
Moderator: Dr. Shahan Nercessian, Senior Applied Researcher, Splice
2:30 PM – 3:30 PM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
159: A Novel Multi-Stage Deep Architecture with SIFT-VGG Fusion Net for Muzzle based animal Identification presented by Pranshu Tiwari (AI Thinking Labs)*; Vanshika Mehlawat (BMU); Suyash Patel (North Carolina State University) Pratima K (BMU); Swapnadip Nandi (AI Thinking Labs)
161: Fake News Detection with Deep Learning, Fine-Tuned Transformers, and LLM-Generated Rationales presented by Malithi Mithsara (Southern Illinois university)*; Ning Yang (Southern Illinois University); Abdur Shahid (Southern Illinois University); Zhong Chen (Southern Illinois University)
72: Historical Project and Dependent Task Status Verification-Aware Integration of DEVOPS with AI Using QF-MT presented by Vineeth Billa Kanti (Independent Researcher)*; Likitha Guthikonda (Independent Researcher)
181: DeepDetect: Learning All-in-One Dense Keypoints presented by Shaharyar Ahmed Khan Tareen (University of Houston)*; Filza Khan Tareen (National University of Sciences and Technology); Xiaojing Yuan (University of Houston)
Track 2: Applied AI & Analytics in Industry and Enterprise
100: GCARA: A Real-Time AI-Driven Platform for Global Crisis Anticipation and Response Across Four Domains with AI Insights presented by Dr.T. Aravind (Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology); Maneesh Ganesula (Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology); Konda Mani Chandana (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology)*
108: ROSA-UAV: Integrating Natural Language Model with Autonomous Drone Navigation Systems Safety Critic Control presented by DEOKJIN LEE (Jeonbuk National University)*; Jacob Lee (Department of Computer Information Technology Austin Community College); Afaq Ahmed (Jeonbuk National University); Hassan Eesaar (Jeonbuk National University)
124: Explainable Customer Churn Prediction with Gradient Boosting, SHAP Insights, and Business-Aware Thresholding presented by Trishita Dhara (Upper Hand)*; Siddhesh Sheth (Ace Rent a Car); Aishwarya Budhkar (Indiana University)
125: Adaptive CTGAN: Data Augmentation for Imbalanced Cybersecurity Datasets presented by Devcharan Krishna Naik (University of Massachusetts Dartmouth); Yuchou Chang (University of Massachusetts Dartmouth)*; Ashokkumar Patel (University of Massachusetts Dartmouth)
Track 3: Frontiers in AI and Data Analytics
209: Quantum-Hybrid Deep Learning Ensemble for Credit Card Fraud Detection presented by Tanay Patel (Arizona State University)*; Todd Hodges (American Express Co.); Glen Uehara (Arizona State University); Sutapa Samanta (American Express Co.); Dagen Wang (American Express Co.); Andras Ferenczi (American Express Co.); Andreas Spanias (Arizona State University)
210: When Does Quantum Computing Provide Advantage for Malware Detection? Structural Complexity and the Intermediate Complexity Window presented by Nicholas Carducci (Monmouth University)*
230: Machine Learning for Pakistan Stock Exchange (PSX) KSE-100 Index Prediction presented by Vijay Kumar (Brown University)*; Mohsin Raza (Sukkur IBA University); Pooja Hargun (Virtual University of Pakistan)
251: Short-form Text Rewriting with Phi Silica presented by Divya Tadimeti (Microsoft)*; Shawn Pan (Microsoft); Sameera Lanka (Microsoft); Chenghui Zhou (Microsoft); Sadid Hasan (Microsoft)
Track 4: Responsible AI, Safety & Governance
138: From Scripts to Prompts: How Large Language Models Are Transforming Penetration Testing presented by Eman Alatawi (University of Tabuk); Umar Albalawi (University of Tabuk)*
143: A Unified MLOps Architecture for Reliable Deployment of Generative AI Systems presented by Vasanth Rao Jadav (EPAM Systems)*; Shravya Bussari (HCL Tech)
155: Augmenting Large Language Models with Causal Risk Patterns for AI Deployment Risk Assessment presented by Gareth Mcconomy (Ulster University)*
165: VAST-Blockchain: Hybrid Ledger Anchoring for Verifiable Governance and Auditability of Aligned AI presented by Soraya Partow (Georgia Southwestern State University)*; Satyaki Nan (Georgia Southwestern State University)
3:30 PM – 3:45 PM Coffee Break
3:45 PM – 5:30 AWS Workshop
Hands-On Generative AI: Building Applications with Amazon Bedrock and SageMaker Studio
Instructors: Brian McCarthy and Aditya Singh
Friday, June 12
8:00 AM 3:00 PM Registration and Check-in
8:45 AM – 9:30 AM Keynote
Physics-Based AI: Advancing Reliable Intelligence for Industrial Systems
Dr. Anthony Vetro, IEEE Fellow, President & CEO, Mitsubishi Electric Research Labs (MERL), Deputy Head of Corporate R&D for Mitsubishi Electric Corporation, Mitsubishi Electric
9:30 – 10:15 AM Keynote
The Changing Identity of Software Engineers in the Age of AI
Christine Miyachi, Principal Software Development Manager and Systems Architect, Microsoft
10:15 AM – 10:30 AM Coffee Break & Transition to Tracks
10:30 AM – 11:30 AM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
189: Validation-Conditioned Dynamic Ensemble Regression with Applications in Biomedical Data presented by Brandon Warner (Verseon International Corp.)*; Edward Ratner (Verseon International Corp.); Elliot Farmer Garcia (Verseon International Corp.)
194: Can Physics-Informed Neural Networks Learn Regulatory Compliance Bounds? Isolating Calibration Drift in Smart Heat Meters presented by Gideon Mbiydzenyuy (University of Borås)*; Fimon Yacob (Ekkono Solutions); Saleh Javadi (Blekinge Institute of Technology)
198: ULAF: Learnable Geometry Activation for Deep Neural Networks presented by Saikatesh Dash (TEKsystems Inc.)*; Sradhanjali Paty (Intone Networks Inc.); Elif Kongar (University of New Haven)
201: Topological Data Analysis Integrated with Deep Sequence Models for Multivariate Time Series-based Solar Flare Prediction presented by Syed Abrab Mahmood (University of Massachusetts Lowell)*; Ruizhe Ma ( University of Massachusetts Lowell)
Track 2: Applied AI & Analytics in Industry and Enterprise
128: Privacy-Preserving Federated AI on Blockchain for Secure and Compliant Banking Data Management presented by Vineeth Lakkadi (University of the Cumberlands)*; Praneetha Reddy Donthi (University of the Cumberlands); Sravani Kandula (University of the Cumberlands); Munish Kumar (University of the Cumberlands)
145: HAGS: A Hand and Glove Segmentation Dataset for Collaborative Assembly presented by Shivansh Sharma (The University of Texas at Austin); Mathew Huang (The University of Texas at Austin); Sanat Nair (The University of Texas at Austin); Alan Wen (The University of Texas at Austin); Christina Petlowany (The University of Texas at Austin); J
215: Integrating Graph Neural Networks and Large Language Models for Climate Policy Shock Contagion in Bank Lending Networks presented by Rohit Nimmala (Bank of America); Pavan Nutalapati (Independent Researcher); Jagrut Nimmala (Independent Researcher); Milan Parikh (Independent Researcher); SIVA RAMA KRISHNA varma Bayyavarapu (Independent researcher)*; Tejas Patel (Independent researcher)
149: AI-Based Discovery of Silent Failures in Financial Software: Representation Learning for Semantic Data Integrity in CI Pipelines presented by Tetiana Afanasieva (Koyfin)*
Track 3: Frontiers in AI and Data Analytics
160: Shazam4Code: An explainable method for detecting derivative clones for ensuring code providence presented by Jamie Heller (Tufts University)*; Samuel Guyer (Tufts University, Veracode Inc.)
212: Manual Elasticity Models to Scalable Pricing Intelligence: An Industry Case Study presented by Girish Vasudevan (Vanguard)*
163: Applied AI-Enhanced RF Interference Rejection presented by Rahul Jain (MIT Lincoln Laboratory)*; Pierre Trepagnier (MIT Lincoln Laboratory); Rick Gentile (MIT Lincoln Laboratory); Joey Botero (MIT Lincoln Laboratory); Alexia Schulz (MIT Lincoln Laboratory)
217: Interpretable Transfer Learning for Classifying Exoplanet Atmospheric Stability presented by Beneyaz Begum (University of Central Florida)*; Ramses Ramirez (University of Central Florida)
Track 4: Responsible AI, Safety & Governance
238: Operationalization of Machine Learning with Serverless Architecture: An Industrial Implementation for Harmonized System Code Prediction presented by Sai Vineeth Kandappa Reddi gari (Schneider Electric Global); Sai Vineeth Kandappa Reddi gari (Schneider Electric Global)*; Santhoshkumar Jagadish (Schneider Electric Global)
206: Coordinate-Driven Random Forests – A Transferable Approach for Graph Data presented by Hansi Kalpana Yasodara Paththini Hetti Arachchige (Colorado State University)*; Anura Jayasumana (Colorado State University)
211: Diagnosing and Mitigating Privacy Risks in Natural Language Interfaces for Sensitive Databases presented by Suli Adeniye (Arizona State University)*; Dominique Roe-Sepowitz (Arizona State University); Arunabha Sen (Arizona State University)
233: The Efficacy of ChatGPT Model GPT-3.5 in Rewriting Bias out of Text while Retaining User Engagement presented by Aarav Daftary (Cambridge Center for International Research)*
11:30 AM – 12:30 PM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
204: Automated Highlight Generation using Deep Learning in Soccer Matches presented by Jenish Kothari (Northeastern University)*; Yash Phalle (Northeastern University)
227: Spectral Learning for Crack and Corrosion Risk Prediction presented by Insha Yaqoob Sheikh (Missouri University of Science and Technology)*; Sarangapani Jagannathan (Missouri University of Science and Technology)
239: Understanding Autonomous Public Safety Drone Operations through Transparent and Interpretable Data Visualization presented by Swarnamouli Majumdar (Zenext AI)*
246: Exploring the Impact of Dataset Statistical Effect Size on Model Performance and Data Sample Size Sufficiency presented by Arya Hatamian (University of California, Riverside); Lionel Levine (UCLA); Haniyeh Ehsani Oskouie (UCLA)*; Majid Sarrafzadeh (UCLA)
Track 2: Applied AI & Analytics in Industry and Enterprise
105: Forecast to Replenishment: Interpretable Machine Learning for Retail Inventory Optimization presented by marsa rayani (California state university DH)*; Samarasimha Donthireddy (California state university DH); Alireza Izaddoost (California state university DH); Benyamin Ahmadnia (California state university DH)
151: A Systems Engineering Driven Framework for Integrating Large Language Models into Clinical Documentation to Increase Efficiency presented by Anoushka Vijay (Notre Dame High School San Jose CA); Jyotirmay Gadewadikar (Mitre)*
152: Agentic CDNs: A Multi-Agent Architecture for Edge-Native AI Inference and Control presented by Venkata Gopi Kolla (Salesforce Inc)*; Chintan Tank (Salesforce Inc); Luc Giavelli (Salesforce Inc)
154: AI Models for Smart Building Energy Consumption Forecasting Using Survey and Online Weather Data in Kuwait presented by Mohamed Zaki (Australian University)*; Khaled AbuJbara (Australian University)
Track 3: Frontiers in AI and Data Analytics
166: Adoption of Safe and Responsible AI for Streamlining Communication with Verbally Impaired Communities presented by Mahendra Samarawickrama (Meta61)*
243: An Agentic AI Framework for Severity-Driven Fire Risk Mitigation presented by Swarnamouli Majumdar (Concordia University)*
170: Applied Machine Learning for Clinical Risk Assessment of Obstructive Sleep Apnea Using Electronic Health Records presented by Manoj Purohit (Marquette University)*; Octavian Ioachimescu (Department of Medicine Medical College of Wisconsin); Praveen Madiraju (Marquette University)
219: Diversity Under Domain Conditioning: Comparing SimSon and CONSMI for QAC Generation presented by Shahana Shultana (George Mason University ); Shiva Ghaemi (George Mason University ); Farzad Ahmed (George Mason University ); Amarda Shehu (George Mason University ); Daniel Barbara (George Mason University )*
Track 4: Responsible AI, Safety & Governance
237: AIPC POMA: A Privacy-Preserving On-Device Multi-Agent Architecture for AI PC Workflow Automation presented by Michael Rosenzweig (Intel)*; Sultana Begum (Intel)
222: SearchAny: Agentic Federated Natural Language Analytics over Heterogeneous Enterprise Data Lakes via Self-Driven Exploration and Reflexive Orchestration presented by Jagadish Krishna Pilla (Independent Researcher)*
223: Algorithmic evidence and fair trial rights in EU Criminal Justice presented by Eleni Papargyri (European University of Cyprus)*; Lamprini Papargyri (Stanford University)
240: Keystroke-Free Reformulation: Design and Evaluation of Micro-Rewrite Widgets for Mobile Search presented by VENKATA Raghavendra Swamy Gudipati (Remington College)*; Lokanatha Reddy Gandikota (Verizon Wireless)
12:30 PM – 1:30 PM Lunch / Posters / Sponsors
1:30 PM – 2:30 PM Panel Discussion
The Age of Agents: Progress and Peril in Commercial Deployments of Agentic AI
Moderator: Dr. Mark Maybury, VP, Lockheed Martin
2:30 PM – 3:30 PM Panel Discussion
The Future of LLMs: Multimodal, Multilingual, Multidomain
Moderator: Dr. Mark Maybury, VP, Lockheed Martin
3:30 PM – 3:45 PM Coffee Break
3:45 PM – 5:15 PM Parallel Tracks
Track 1: Foundation of AI, Data Science & Analytics
249: Uncertainty-Aware Forecasting with Shifting Seasonal Matrix Factorization presented by Jacob Munson (Montana State University)*; Breschine Cummins (Montana State University)
250: Multiple Diseases Classification of the Lumbar Spine Using a Hybrid Deep Learning Framework with Clinical Explainability presented by Suhani Gawate (cmt)*
202: Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks presented by Joseph Arul Raj (Kings College London)*; Zina Ibrahim (Kings College London); Linglong Qian (Kings College London)
218: Generation of Synthetic Samples by Large Language Models in the Context of Cross-Country Surveys presented by Elizaveta Kuznechenkova (Higher School of Economics), Maria Nesterskaya (Higher School of Economics)*,Vera Semyonova (Higher School of Economics)
188: An AI-Enabled Non-Invasive Framework for Early Detection of Oral Cancer presented by fasiha khanam (PVKK Institute of Technology)*; T Baba (PVKK Institute of Technology)
192: Deep Learning Assisted Revitalization of Lung CT Images presented by Mani Ganeshwari Donga (Institute of Aeronautical Engineering)*; Dr. Sreelakshmi Doma (Institute of Aeronautical Engineering); Aishwarya Sonaboina (Institute of Aeronautical Engineering); Sharath Chandra Boorgula (Institute of Aeronautical Engineeri
Track 2: Applied AI & Analytics in Industry and Enterprise
177: AI Companions for E-commerce: Proactive Customer Question Resolution presented by Lokanatha Reddy Gandikota (Verizon)*; Venkata Raghavendra Swamy Gudipati (Remington University); Sudheer Kumar Aluvala (HCL Tech); Sateeshkumar Ponugoti (Publicis Groupe); Satya Tulasi Ram Konda (Verizon)
174: PromptOps: An End-to-End Architecture for Prompt Engineering Lifecycle Management in Large Language Model Applications presented by Kumar Kasimala (Salesforce Inc)*; Ashok Kumar (Independent Researcher)
178: Real-Time Retrieval-Augmented Meeting Intelligence: Knowledge-Enabled Assistance for Sales and Customer Success presented by Krishna Kishore Pilla (Adobe)*
179: Lightweight and Maintainable Approach for Table Detection presented by varsha venkataraman (newcastle university)*; lei shi (Newcastle University)
190: RAG-Enhanced Explainable AI for Regulatory-Compliant Credit Risk Assessment presented by Aman Goyal (CMU); Jothsna Praveena Pendyala (Clark University)*; Jyoti Sondager (Independent Researcher); Shaozhi Jiang (AI/ML Independent Researcher); Prerak Manish Shah (Northeastern University)
199: Credit Card Fraud Detection Using Machine Learning presented by Fahd AlHaidari (Salem State university)*; Dania Alkhulaifi (Imam Abdulrahman Bin Faisal University); Wafa Hantom (Imam Abdulrahman Bin Faisal University); Ali Bazarah (Stonehill College); Jamal Alhiyafi (Kettering University)
205: Bytes to Threats: Byte-Sequence Transformer For Malware Detection presented by Abdelrahman Eljamal (University of Rhode Island)*; Abdeltawab Hendawi (University of Rhode Island)
Track 3: Frontiers in AI and Data Analytics
197: Nibras: A Non-Invasive EEG Brain–Computer Interface for Assistive Communication in Non-Verbal Individuals presented by Ahmed Ibrahim (Prince Sultan Uiversity)*; Tareq Ghazi (Prince Sultan University); Anas Houri (Prince Sultan University); ElMoatez Billah Nagoudi (Prince Sultan University)
224: Structured Skill Taxonomies vs. Large Language Models: A Comparative Study of Curriculum-Level Skill Inference presented by Yash Pankhania (Northeastern University)*; Nicholas Brown (Northeastern University)
226: Evaluating Large Language Models as Symbolic Music Theory Assessors: A Multi-Metric Approach presented by Chauncey Barnes (North Carolina A&T State University); Kiana Katouzian (North Carolina A&T State University); Ahmad Patooghy (North Carolina A&T State University)*
232: Cache Semantics for LLM Systems: When Caching Helps and When It Silently Breaks Correctness presented by Vinay Soni (IEEE)*; Gajendra Babu Thokala (IEEE); Tejas Pravinbhai Patel (IEEE); Amit Kumar Padhy (University of Illinois Urbana-Champaign); Chandrashekhar Medicherla (IEEE); Viswanathan Ranganathan (IEEE); neha agrawal (none)
229: AI-Based Detection of Financially Incorrect States in Visually Stable Web Dashboards presented by Tetiana Afanasieva (Koyfin)*
Track 4: Responsible AI, Safety & Governance
245: A Hybrid Cloud Architecture for AI-Driven Business Process Automation in Legacy Enterprise Environments presented by Deepa Patel (Independent Software Consultant)*
247: Machine Learning-based Prediction of Ciprofloxacin Resistance in Escherichia coli Using Antimicrobial Susceptibility Testing Metadata presented by Huanran Yu (Jordan HS)*
248: Benchmarking Hybrid Deep Learning Architectures for Predictive Maintenance in Industry 4.0 presented by Zhengyang Gu (Liveline Technologies)*; Joseph Hernandez (Liveline Technologies); Thomas Cook (Liveline Technologies); John Burtenshaw (Liveline Technologies); Sean Scott (Liveline Technologies); Chris Couch (Liveline Technologies)
234: On The Limits of Predicting Sex-Offense Escalation from Criminal Histories presented by Suli Adeniye (Arizona State University)*; Dominique Roe-Sepowitz (Arizona State University); Arunabha Sen (Arizona State University)
5:15 PM – 5:30 PM Best Paper Award and Closing Remarks
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