2026 IEEE International Conference on AI and Data Analytics
(ICAD 2026)
June 11 – 12, 2026
Boston, Massachusetts
Program Schedule
TIME
VIRTUAL PROGRAM
8:45 AM
ZOOM SESSION OPEN
9:00 – 4:30 PM
THURSDAY JUN 11
TIME
PROGRAM SCHEDULE
8:00 – 3:00 PM
Registration and Check-in throughout the Day – Stokes Hall
8:30 – 8:45 AM
Opening Ceremony – fulton auditorium
8:45 – 9:30 AM
KEYNOTE SPEAKERS – FULTON AUDITORIUM
The New Time Paradigm: Bridging the AI Gap from Rapid Prototype to Enterprise Reality presented by Keynote Speaker Dr. Stefanie Chiras, Senior Vice President, AI Innovation Hub, Red Hat
9:30 – 10:15 AM
Trends, Challenges and Opportunities for AI-enabled High-Performance Computing presented by Keynote Speaker Dr. Samantika Sury Vice President, HPE Fellow, Chief Hardware Architect, HPC and AI Solutions
10:15 AM
Coffee break – stokes hall
10:30 – 12:30 PM
PARALLEL ORAL PRESENTATIONS – FULTON HALL
FULTON HALL - ROOM 115 FULTON HALL - ROOM 115 / CHAIR: BARIS KZAR
Track 1 – Foundation of AI, Data Science & Analytics
10:30 AM 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)*
10:45 AM 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)*
11:00 AM 74: Hidden Stylistic Schools of Pre-Islamic Poetry presented by Salem Othman (Wentworth Institute of Technology)*; Youssef Qranfal (Wentworth Institute of Technology
Track 2 – Applied AI & Analytics in Industry and Enterprise
11:15 AM 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.)
11:30 AM 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)
Track 3 – Frontiers in AI and Data Analytics
11:45 AM 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 1 – Foundation of AI, Data Science & Analytics
12:00 PM 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)
12:15 PM 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
FULTON HALL - ROOM 117 / CO-CHAIRS: JOSEPH CAMPBELL AND BRUCE JIA
Track 3 – Frontiers in AI and Data Analytics
10:30 AM 143: A Unified MLOps Architecture for Reliable Deployment of Generative AI Systems presented by Vasanth Rao Jadav (EPAM Systems)*; Shravya Bussari (HCL Tech)
10:45 AM: 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)
Track 4: Responsible AI, Safety & Governance
11:15 AM 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)
11:30 AM 127: Mitigating Risks in Agents and Robots presented by Mark Maybury (Lockheed Martin)*
11:45 AM 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); Vidisha Vijay (Independent Researcher)
12:00 PM 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)
FULTON HALL - ROOM 135 / CHAIR: PULKIT JAIN
Track 2 – Applied AI & Analytics in Industry and Enterprise
10:30 AM 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)
10:45 AM 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)*
11:00 AM 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)
Track 3 – Frontiers in AI and Data Analytics
11:15 AM 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)*
11:30 AM 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)
11:45 AM 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)
12:00 PM 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)
12:30 – 1:30 PM
Lunch / POSTERS / Sponsors – stokes hall
1:30 – 2:30 PM
PANEL SESSIONS – FULTON AUDITORIUM
Dr. Shahan Nercessian: Music AI: Where We’re At, Where We’re Going, and Who’s Coming With?
2:30 – 3:30 PM
PARALLEL ORAL PRESENTATIONs – FULTON HALL
FULTON HALL - ROOM 115 FULTON HALL - ROOM 115 / CHAIR: BARIS KZAR
Track 3 – Frontiers in AI and Data Analytics
2:30 PM 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)
2:45 PM 210: When Does Quantum Computing Provide Advantage for Malware Detection? Structural Complexity and the Intermediate Complexity Window presented by Nicholas Carducci (Monmouth University)*
3:00 PM 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)
3:15 PM 228: Operational Hallucination and Safety Drift in AI Agents presented by Shasha Yu, Fiona Carroll, Barry L. Bentley (Cardiff Metropolitan University)
FULTON HALL - ROOM 117 / CHAIRS: BRUCE JIA
Track 4: Responsible AI, Safety & Governance
2:30 PM 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)*
3:00 PM 155: Augmenting Large Language Models with Causal Risk Patterns for AI Deployment Risk Assessment presented by Gareth Mcconomy (Ulster University)*
3:15 PM 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)
FULTON HALL - ROOM 135 / CHAIR: SOHELI FARHANA
Track 1 – Foundation of AI, Data Science & Analytics
2:30 PM 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)
2:45 PM 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)
3:30 – 3:45 PM
Coffee Break – Stokes Hall
3:45 – 5:30 PM
Parallel workshops
Red Hat Workshop: Guardrails Under Pressure: Hands-On LLM Safety Evaluation from Bias Detection to Red-Team Attacks Room 135
AWS Workshop: Hands-On Generative AI: Building Applications with Amazon Bedrock and SageMaker Studio Room 145
FRIDAY JUN 12
TIME
PROGRAM SCHEDULE
8:00 – 3:00 PM
Registration and Check-in throughout the Day – Stokes Hall
8:45 – 9:30 AM
KEYNOTE SPEAKERS – FULTON AUDITORIUM
Physics-Based AI: Advancing Reliable Intelligence for Industrial Systems presented by Keynote Speaker Dr. Anthony Vetro, IEEE Fellow, President & CEO Mitsubishi Electric Research Labs (MERL)
9:30- 10:15 AM
The Changing Identity of Software Engineers in the Age of AI presented by Keynote Speaker Ms. Christine Miyachi, Principal Software Development Manager and Systems Architect, Microsoft
10:15 AM
Coffee Break – Stokes Hall
10:30 – 12:30 PM
PARALLEL ORAL PRESENTATIONS – FULTON HALL
FULTON HALL - ROOM 115 / CHAIR: BARIS KAZAR
Track 1 – Foundation of AI, Data Science & Analytics
10:30 AM 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.)
10:45 AM 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)
11:00 AM 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)
11:15 AM 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)
11:30 AM 204: Automated Highlight Generation using Deep Learning in Soccer Matches presented by Jenish Kothari (Northeastern University)*; Yash Phalle (Northeastern University)
11:45 AM 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)
12:00 PM 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)
FULTON HALL - ROOM 117 / CO-CHAIRS: SHANKAR KRISHNAN AND BRUCE JIA
Track 2- Applied AI & Analytics in Industry and Enterprise
10:30 AM 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)
10:45 AM 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); Juston Moore (Los Alamos National Laboratory); Selma Wanna (Los Alamos National Laboratory)*; Mitch Pryor (The University of Texas at Austin)
11:00 AM 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)
11:45 AM 166: Adoption of Safe and Responsible AI for Streamlining Communication with Verbally Impaired Communities presented by Mahendra Samarawickrama (Meta61)*
12:00 PM
12:15 PM 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 )*
FULTON HALL - ROOM 135 / NIKUNJ DOSHI
Track 3 – Frontiers in AI and Data Analytics
10:30 AM 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.)
10:45 AM 212: Manual Elasticity Models to Scalable Pricing Intelligence: An Industry Case Study presented by Girish Vasudevan (Vanguard)*
11:00 AM 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)
11:15 AM 217: Interpretable Transfer Learning for Classifying Exoplanet Atmospheric Stability presented by Beneyaz Begum (University of Central Florida)*; Ramses Ramirez (University of Central Florida)
11:30 AM 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)*; Santhoshkumar Jagadish (Schneider Electric Global)
11:45 AM 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)
12:00 PM 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)
12:15 PM 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)*
FULTON HALL - ROOM 145 / CHAIR LIKANATHA REDDY GANDIKOTA
Track 1 – Foundation of AI, Data Science & Analytics
10:30 177: 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)
10:45 AM 179: Lightweight and Maintainable Approach for Table Detection presented by varsha venkataraman (newcastle university)*; lei shi (Newcastle University)
11:00 AM 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)
11:15 AM 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)
11:30 AM 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)*
11:45 AM 223: Algorithmic evidence and fair trial rights in EU Criminal Justice presented by Eleni Papargyri (European University of Cyprus)*; Lamprini Papargyri (Stanford University)
12:00 PM 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 – 1:30 PM
Lunch / POSTERS / Sponsors – stokes hall
1:30 – 2:30 PM
PANEL SESSIONS – FULTON AUDITORIUM
The Age of Agents: Progress and Peril in Commercial Deployments of Agentic AI Moderator, Dr. Mark Maybury, VP Lockheed Martin
2:30 – 3:30 PM
The Future of LLMs: Multimodal, Multilingual, Multidomain Moderator, Dr. Mark Maybury, VP Lockheed Martin
3:30 – 3:45 PM
Coffee Break – Stokes Hall
3:45 – 4:45 PM
PARALLEL ORAL PRESENTATIONS – FULTON HALL
FULTON HALL - ROOM 115 / CHAIR: BARIS KAZAR
Track 1 – Foundation of AI, Data Science & Analytics
3:45 PM 249: Uncertainty-Aware Forecasting with Shifting Seasonal Matrix Factorization presented by Jacob Munson (Montana State University)*; Breschine Cummins (Montana State University)
4:00 PM 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)
4:15 PM 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)
FULTON HALL - ROOM 117 / CHAIR: BRUCE JIA
Track 4 – Responsible AI, Safety & Governance
3:45 PM 247: Machine Learning-based Prediction of Ciprofloxacin Resistance in Escherichia coli Using Antimicrobial Susceptibility Testing Metadata presented by Huanran Yu (Jordan HS)*
4:00 PM 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)
4:15 PM 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)
FULTON HALL - ROOM 135 / CHAIR SOHELI FARHANA
Track 2 – Applied AI & Analytics in Industry and Enterprise
3:35 PM 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
4:00 PM 197: Nibras: A Non-Invasive EEG Brain–Computer Interface for Assistive Communication in Non-Verbal Individuals presented by Ahmed Ibrahim (Prince Sultan University)*; Tareq Ghazi (Prince Sultan University); Anas Houri (Prince Sultan University); ElMoatez Billah Nagoudi (Prince Sultan University)
4:15 PM 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)
4:30 PM 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)*
4:45 – 5:15 PM
Closing / Best Paper Award – Fulton Auditorium
VIRTUAL SESSION – VIA ZOOM ON JUNE 10 / CHAIR GIM SOON
9:00 AM: 55 Quality-Driven Agentic Reasoning for LLM-Assisted Software Design: Questions-of-Thoughts (QoT) as a Time-Series Self-QA Chain presented by Yen-Ku Liu, Yun-Cheng Tsai (National Taiwan Normal University)
9:15 AM: 184 Evaluating Player Roles in the NBA: Benchmarking Machine Learning Models Against a Rule-Based Rank Score System presented by J-neil Bagamasbad, John Paul Vergara (Ateneo de Manila University)
9:30 AM: 121 Recognizing Multiple Emotions in Bangla Paragraphs Using Multi-Label Classification presented by Sadia Islam, Md Minhajul Karim, Noortaz Rezoana (Premier University)
9:45 AM: 183 A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision–Language OCR presented by Nayeb Hasin, Md. Arafath Rahman Nishat, Mainul Islam, Khandakar Shakib Al Hasan, Asif Newaz (Islamic University of Technology, BUET)
10:00 AM:
10:15 AM: 156 Revify: An Agentic Opinion Mining System for Product Reviews presented by Soorya Sivaramakrishnan, Harshal Vhatkar, Siddhesh Shrawne, Shaily Goyal, Siddhartha Chandra (Sardar Patel Institute of Technology)
10:30 AM: 162 Validating Concept Neighborhood Proxies for Scalable Concept Mapping in Explainable AI presented by Sultaana Lawal, Bilkisu Muhammad-Bello (Nile University of Nigeria)
10:45 AM: 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)*
11:15 AM: 8 Computational modeling of Bispecific T-Cell Engager Targeting B7H3 (CD276) for Immunotherapy in Medulloblastoma presented by Monica Gude, Gaurav Sharma (Fort Mill High School, Eigen Sciences LLC)
11:30 AM: Break
12:00 PM:
12:15 PM: 37 Autonomous Bias Mitigation in Talent Acquisition: An Intelligent Redaction Framework for Fair Hiring presented by Sneh Lata (Rchilli Inc.)
12:30 PM: 103 Access Control Mechanisms for Agentic AI in Multi-tenant Cloud Environments presented by Arun Ganapathi, Dishant Banga (Oracle)
12:45 PM: 124 Explainable Customer Churn Prediction with Gradient Boosting, SHAP Insights, and Business-Aware Thresholding presented by Trishita Dhara, Siddhesh Sheth, Aishwarya Budhkar (Upper Hand, Ace Rent a Car, Indiana University)
1:00 PM: 146 AI-Powered Merchant Named Entity Recognition in Financial Transactions: A Production-Scale Transformer System presented by Rama Mohan Reddy Pilli, Joe Koch, Chris Wright (Kard Financial)
1:15 PM: 196 A Risk-Based Governance Framework for Higher Education Analytics presented by Poorva Patil (Old Dominion University)*; Neha Niphadkar (Old Dominion University); Bhargav Narayanavaram (Old Dominion University)
1:30 PM: 203 Policy-Aligned Autonomous Data Pipelines in Higher Education: A Governance-First Approach to Self-Healing Systems presented by Neha Suhas Niphadkar, Poorva Patil, Bhargav Narayanavaram (Old Dominion University)
1:45 PM: 149 AI-Based Discovery of Silent Failures in Financial Software: Representation Learning for Semantic Data Integrity in CI Pipelines presented by Tetiana Afanasieva (Koyfin)*
2:00 PM: 239 Understanding Autonomous Public Safety Drone Operations through Transparent and Interpretable Visual Analytics presented by Swarnamouli Majumda, Anjali Awasthi (Concordia University, Zenext AI)
2:15 PM: 247 Machine Learning-based Prediction of Ciprofloxacin Resistance in Escherichia coli Using Antimicrobial Susceptibility Testing Metadata presented by Huanran Yu (Jordan HS)
2:30 PM: 229 AI-Based Detection of Financially Incorrect States in Visually Stable Web Dashboards presented by Tetiana Afanasieva (Koyfin)*
2:45 PM: 186 Agent-to-Agent -MCP Architecture for Intelligent Enterprise Payroll Management presented by John Selvaraj Arulappan (ADP Celergo)*; Velu Natarajan (GoodRx); Santosh Vasudevan (Caterpillar)
3:00 PM: 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)
3:15 PM: 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)
3:30 PM: 101 Pattern recognition and prediction with a hidden Markov-linear regression model presented by Ekaterina Vedennikova (University of Latvia)*; Dmitry Gromov (University of Latvia)
4:00 PM: 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)
4:15 PM: 178 Real-Time Retrieval-Augmented Meeting Intelligence: Knowledge-Enabled Assistance for Sales and Customer Success presented by Krishna Kishore Pilla (Adobe)*
4:30 PM: 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)
POSTER SESSION – STOKES HALL / CO-CHAIRS: NARAYANAN MURUGAN AND NIKUNJ DOSHI
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)
48: AI-Driven Transformation in Embedded Software Unit Testing presented by Olga Koroleva (Schneider Electric)*
118: Logistic Regression as a Preliminary Step in an Antimicrobial Resistance Development Predictive Pipeline presented by Patrick Ayres (National University)*
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)
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)*
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)*
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)
235: Redundancy Effects in Explainable AI-Driven Business Analytics Systems and a System-Level Study of Explainability Saturation presented by Delruba Mahmud Khan (University of Houston)*
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)*
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