Thank you for your submission to Data Science Day 2025, DSI’s flagship annual event. We look forward to exhibiting your research. Please use this page to search for your project name and find your correlating poster or demo number using the exhibitor map. Please also look at the setup and exhibition timeline. FAQ’s regarding registration, what to bring, and other details are included at the bottom of this page.
Check-In Location: Exhibitor Table, Broadway Lobby, Alfred Lerner Hall (2920 Broadway, New York, NY 10027). Due to public safety policy, please make sure you have your Eventbrite QR code with you when you arrive. All tickets will be checked at the door.
8:00 AM – 8:45 AM: ARRIVAL & POSTER DROP OFF
1:00 PM – 4:00 PM: POSTER AND DEMO SESSION
4:00 PM – 5:00 PM: RECEPTION
5:00 PM – 5:15 PM: BREAKDOWN & EXIT
D01 – Table 1: Augmented Reality Visualization of a Cross-Attention Enhanced 3D Optical Coherence Tomography Volume for Ophthalmic Disease DiagnosisD02 – Table 1: Artificial Intelligence to Detect Spinal Fluid and Spinal Cord on Ultrasound
D03 – Table 2: Trip Genius: A Fully Automated and Agentic Solution for End-to-End Travel Planning and Booking
D04 – Table 2: GoGo Data Lab: Low-cost sensor data collection on the go
D05 – Table 3: The Choice Mapper
D06 – Table 4: Projects from Ali Hirsa
D07 – Table 5: Ora – A Teacher’s Friend for the Now
D08 – Table 5: rklex AI: Effortless AI Orchestration for Customer-Facing Workflows
D09 SPONSOR PROJECTS – Table 6: Reserved for CUIT Research Computing Services; and the SHARP ProgramD10 – Table 7: Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection
D11 – Table 7: DriveGenVLM: Real-World Video Generation for Vision Language Model Based Autonomous Driving – PI to show their poster at the table
D12 – Table 8: Demo: Intelligent 5G “All-G” Networks Designed and Integrated for Global Operations
D13 – Table 8: Demo: A Full-Duplex Link with Adaptive Self-Interference Cancellation
D14 – Table 9: Scaledown Intersection Testbed
P01: Full-Duplex Self-Interference Cancellation Control Algorithm
P02: SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation
P03: Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
P04: SPONSOR PROJECT: Undergraduate Research Opportunities
P05: Improving Language Models’ Sensory Understanding via Context-Aware Embedding Interpolations
P06: From Rewards to Videos: Self-Supervised Temporal Pretraining for Inverse Reinforcement Learning & Video Generative Models
P07: Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
P08: Bibarel: Accelerating Agentic Planning Through Dynamic Parallelism and Live Migration
P09: Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
P10: Active Exploration via Autoregressive Generation of Missing Data
P11: High-Throughput Angle Extraction via Symmetry-Adapted Filters
P12: SGFormer: Improving spacegroupMining model using Transformer for Determining the Space Group of a Structure from Atomic Pair Distribution Function (PDF)
P13: How to Tell Structures Apart: Data-Driven Analysis of Structural Similarity Measures
P14: Graphical Framework for the Representation of Inorganic Synthesis Reactions and Prediction Using Graph Neural Networks
P15: Unveiling Hidden Symbiotic Stars: A VAE Approach to Anomaly Detection
P16: AI-driven automated system for identification of Phytoplankton in the global oceans
P17: ThunderKittens: GPU Primitives for Fast ML Computation
P18: Energy Efficient Scheduling of AI/ML Workloads on MIG with Dynamic Repartitioning
P19: Volcanology Infrastructure for Computational Tools and Resources: Tephra2 Inversion Workflow
P20: SparseQJL: Efficient KV Cache Compression For Accelerating Large Language Models
P21: Embedded Databases for Servers- RootDB
P22: In Situ Correlative Transmission Electron Microscopy for Experimental Study of Grain Growth in Thin Films
P23: On symbolic regression and Taylor series: How neural networks can lead to analytical solutions
P24: Control of Nonstationary Systems with QPLEX
P25: Hacking the LLM Guardrail: Malicious Injection In Enterprise Dataset & Automatic Threat Assessment
P26: Technical Standards for Decentralized Clinical Trials as a Care Option Leveraged with Hospitals at Home
P27: Powering AI the Next Gold Rush
P28: External Validation of Risk Assessment Model MIRAI on Columbia Screening Cohort
P29: Propaganda Generation Capabilities of Large Language Models AND Comments and Community: Dimensions of YouTube Use – PI to rotate projects on the same easel
P30: A Vision-Based Analysis of Congestion Pricing in New York City
P31: Quantifying Data Reliability in Air Quality Monitoring: A Scoring Framework for Spatio-Temporal Datasets
P32: UN-EARTHED: Construction Ecologies of Soil Remediation
P33: Predicting Middle School Academic Achievement Using Teachers’ Perceptions of School Climate
P34: Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions
P35: AI Awareness Survey of Educators
P36: Assessing Graduate Student Attitudes toward ChatGPT and its Effectiveness as a Teaching Tool for Real Estate Finance
P37: Text Mining Analysis and Concept Mapping of 60 Philosophical Texts: Perceiving the Purpose of Education from Ancient Greece to the Postmodern Era
P38: Responsible AI for Educational Equity
P39: AdaptLingo: An Adaptive Speech-to-Speech Conversational Agent Tailored to Users’ English Proficiency Levels
P40: Sex & HIV Education Policies: Insights into sate-mandated school curriculums and their impact on social outcomes from 2009 – 2022
P41: A Lagrangian-Informed Long-Term Dispatch Policy for Coupled Hydropower and Photovoltaic Systems
P42: Spacial Temporal Air Quality Profiling of Chennai City
P43: From Experiments to In-Service: Encoding Structural Damage via Speaker Recognition
P44: From Conflict to Consensus: Using AI for participatory spatial design
P45: Customized FinGPT Search Agents Using Foundation Models
P46: FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning AND LLM-Powered Compliance Agents for Small- and Medium-sized Businesses (SMBs) – PI to rotate projects on the same easel
P47: Imagining the Future: Sociotechnical Imaginaries in Artificial Intelligence Development at OpenAI
P48: Who’s Left Unprotected? Predicting Underinsurance with Spatial CNN Analysis
P49: Analysis of the Order Flow Auction under Proposer-Builder Separation
P50: Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage
P51: Is Cross-Validation the Gold Standard to Estimate Out-of-sample Model Performance?
P52: Consistency Checks for Language Model Forecasters
P53: Distributionally Robust Newsvendor on a Metric
P54: Who Ate the Lunch? A Variational Bayes Algorithm for Identifying Refund Hunters
P55: Integrating Ethics into Data-driven AI Research: Scope, Goals, and Relationship-building
P56: Modeling Dynamic Consumer Preferences with Distribution Shift
P57: DIVAN: A Data Aggregation Visualization System that Focuses on Frequent Data
P58: Uncertainty Quantification for LLM-Based Survey Simulations
P59: AI to Measure Peace with App for Behavior Change
P60: The Utility of SaTScan to identify and map nightlife districts across the USA
P61: Leveraging t-SNE Visualization of Professional Networks for Predictive AI in Transdisciplinary Team Collaboration
P62: Moderation Needs of Youtube Creators
P63: Joint modeling for learning decision-making dynamics in behavioral experiments
P64: Automatic DCIS Segmentation in First Post-Contrast DCE-MRI Image using MA-SAM architecture with pre-trained vision transformer backbone
P65: Diffusion Models for Determining Local Atomic Structure from X-ray Absorption Spectra
P66: Mapping visual categorical selectivity across the whole brain using transformer-based encoders and large-scale generative models
P67: OptiRes-DDPM for Portable OCT Image Quality Enhancement Toward Downstream AI-Based Ophthalmic Disease Diagnosis
P68: AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Consistency-Based Multi-Task Fine-Tuning for Enhanced 3D Glaucoma Detection
P69: Assessing the impact of the Augmented Response Technology on Clinician In-Basket Responses
P70: Leveraging data-driven analyses to improve subpopulation robustness of a schizophrenia prediction model
P71: Mitigating Spurious Invariance in Contrastive Learning: A Probabilistic Self-Supervised Learning Framework for Medical Image Analysis
P72: A 3D-Consistent Framework for T2-Weighted Image Generation and Enhancement Using VIPGAN and Projection-Based Optimization
P73: Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
P74: Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Data
P75: The Impact of State Space and Dimensionality on Pancreatic Ultrasound Tumor Segmentation
P76: Quantitative Imaging Analysis of Irradiation-Induced Effects on Ribosome Biogenesis
P77: Leveraging AI for Insights into Corporate Emission Reduction and Climate Action AND The Impact of Biomedical Innovation on U.S. Mortality, 1999-2019: Evidence Partly Based on 286 Million Descriptors of 27 Million PubMed Articles – PI to rotate projects on the same easel
P78: Real-Time Structural Damage Detection Using Kolmogorov-Arnolds Neural Networks and Cepstral Features
P79: Using AI-powered experimental design to create patient-centric clinical studies
P80: Patient-centric approaches for antipsychotic medication research : an application of the Desirability of Outcome Ranking (DOOR) and Global Benefit-Risk Score (GBR)
P81: AI-accelerated Personalized Predictive Modeling with Uncertainty for Neonates with Borderline Left Ventricles
P82: Public Perspectives on the Use of AI in Mental Health with Comparison to Utilization for Somatic Health Applications
P83: Accelerating Drug Discovery through the Automatic Population of a Pharmaceutical Ontology using Knowledge Graphs
P84: A Hybrid Self-supervised And Supervised Deep Learning Framework For Accurate Volumetric Breast Density Segmentation From 3D Reconstructed DBT Images
P85: Developing a Novel Approach to Video Analysis Using Multimodal Large Language Models for Fall Risk Assessment: A Pilot Study
P86: Multi-site Pragmatic Cluster Randomized Controlled Trial of the CONCERN Early Warning System
P87: Designing a dynamic user-centric screening app for diverse scenarios
P88: FEST: Enhancing Genetic Risk Prediction through Federated Semi-Supervised Transfer Learning with Inaccurate Electronic Health Record Data
P89: Automating Health Problem Identification and Mapping to the Omaha System Using LLMs
P90: Permanent Proxies for Bimanual Selection and Manipulation in VR
P91: Investigating the Impact of Agricultural Burning on Air Quality in West Bengal
P92: SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions
P93: Eye-Track-ML: A Machine Learning Pipeline for Automated Frame-by-Frame Coding of Eye-Tracking Videos
P94: Distributed VLMs: Efficient Vision-Language Processing through Cloud-Edge Collaboration
P95: Data-Driven Traffic Simulation for an Intersection in a Metropolis
P96: Evaluating Zero-Shot Image Tagging for Urban Traffic Intersection Scenes
P97: How does the infant brain respond to complexity in various contexts?
P98: Predicting the DNA binding specificity of transcription factor mutants using family-level biophysically interpretable machine learning
P99: A Call for New York Robotics and Research Manufacture Hub – ADI CodeCollab
P100: Equal Access, Unequal Outcomes: Hierarchical Cluster Analysis of Advanced Coursework and Postsecondary Outcomes in North Carolina High Schools
P101: Collective inference of the truth of propositions from crowd probability judgments
P102: Learning from Expert Clinician Gaze: How FOI ViT’s Success Exposes Multimodal Medical AI’s Adaptation Gaps
P103: LifeSpan Index in Different Areas
P104: 6G as a Sensor: Repurposing 140 GHz Wireless Signals for AI-Driven Sensing
P105: Leveraging Satellite Measurements to Build Machine Learning Models for Estimating 20 years of High-Resolution Gridded Daily PM2.5 for Ghana
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To register, please visit the Eventbrite page here → Select “Get Tickets” → Enter promo code RESEARCH → Register as an Exhibitor
You MUST register as an Exhibitor to confirm your presentation. Teams that do not register may lose their space on the Exhibitor floor.
Please check-in at the Exhibitor table in the Alfred Lerner Hall Broadway Lobby. There, you will receive your name badge. We will remind you where your poster or demo is located.
You will leave your project with DSI Events staff who will then set up your project at your easel.
DSI will not cover the cost of printing your poster. However, DSI will provide the below items:
Please make sure you size your poster for either 30 x 40 or 20 x 30 to fit on our foam boards.
Our foam boards are blank and can be rotated in either direction. You are welcome to print vertically or horizontally as long as the dimensions are 30 x 40 or 20 x 30
For posters, please bring your printed poster file that can be tacked. For demos, please bring any special equipment (re: laptops, computers) needed to run your demo.