Friday, April 14, 2023 - 11:30 am
550 Assembly St, Room 2277

Graduate students will be selected by their advisor to present a research poster. Monetary awards will be given to the top 3 posters.


Time Location Event
11:30 am – 12:45 pm

Room 2277

(If no seating is available in room 2277, please visit rooms 2265, 2267 and 2268)

Networking and refreshments
12:45 pm – 2:00 pm 2nd floor hallway Graduate student poster session
2:00 pm – 2:15 pm Break
2:15 pm – 4:00 pm Room 1400 (1st floor) 7 Minute Madness
4:00 pm – 4:20 pm Room 1400 (1st floor) Closing Notes and Poster Awards


Poster Session Authors

Poster Number Advisor Name Poster Title
1 Amit Sheth Towards Rare Event Prediction in Manufacturing Domain
2 Amit Sheth Alleviate: Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
3 Amit Sheth FACTIFY3M - A benchmark for multimodal fact verification with explainability through 5W Question-Answering
4 Amit Sheth and Forest Agostinelli Inductive Logic Programming for Explainable Artificial Intelligence
5 Biplav Srivastava Rating of AI Systems Through a Causal Lens
6 Biplav Srivastava Group Recommendation and a Case Study in Team Formation with ULTRA
7 Biplav Srivastava Planner Performance Improvement using Ontology
8 Chin-Tser Huang Smarkchain: An Amendable and Correctable Blockchain Based on Smart Markers
9 Chin-Tser Huang Investigation of 5G and 4G V2V Communication Channel Performance Under Severe Weather
10 Christian O'Reilly Deep Ensemble Learning: A Synergistic Approach for Ultrasonic Vocalization Analysis in Post-Traumatic Stress Disorder Study
11 Christian O'Reilly Characteristics of cerebrospinal fluid in Autism Spectrum Disorder (ASD): A systematic review
12 Christian O'Reilly and Amit Sheth Interpretable Machine Learning for Predicting the Likelihood of Autism from Infant ECG Recordings​​
13 Forest Agostinelli Explainable AI for Solving Pathfinding Problems through Collaborative Education
14 Ioannis Rekleitis SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry
15 Ioannis Rekleitis Confined Water Body Coverage under Resource Constraints
16 Ioannis Rekleitis Weakly Supervised Caveline Detection For AUV Navigation Inside
Underwater Caves
17 Jianjun Hu crystalTransformer
18 Jianjun Hu Composition based Oxidation State Prediction of Materials using Deep Learning Language Model
19 Jianjun Hu DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition
20 Jianjun Hu Scalable deeper graph neural networks for high-performance materials property prediction
21 Pooyan Jamshidi Partitioning and Mapping for ASIC AI Accelerators
22 Pooyan Jamshidi Not Just a Rose by Any Other Name: Differential Privacy as an Instrumentality of Effective Regulation Thwarting the Subterfuge of Differential Privacy by another Name and Undue Influence
23 Qi Zhang, Christopher Sutton Maximizing Learning Efficiency in Material Science through Domain Adaptation
24 Ramtin Zand Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures
25 Sanjib Sur MatGAN: Sleep Posture Imaging using Millimeter-Wave Devices
26 Sanjib Sur Towards Robust Pedestrian Detection with Roadside Millimeter-Wave Infrastructure
27 Sanjib Sur Outdoor Millimeter-Wave Picocell Placement using Drone-based Surveying and Machine Learning
28 Sanjib Sur Outdoor Small Scale Point Cloud Reconstruction Using Drone-based Millimeter-Wave FMCW Radar System and CFAR
29 Sanjib Sur MmSight: Millimeter-Wave Imaging on 5G Handheld Smart Devices
30 Sanjib Sur Enabling Integrated Networking and Activity Sensing in Indoor Millimeter-Wave Networks
31 Sanjib Sur mmWaveNet: Indoor Point Cloud Generation from Millimeter-Wave Devices
32 Sanjib Sur, Srihari Nelakuditi SSCense: A Millimeter-Wave Sensing Approach for Estimating Soluble Sugar Content of Fruits
33 Song Wang Few-shot 3D Point Cloud Semantic Segmentation via Stratified Class-specific Attention Based Transformer Network
34 Song Wang Parametric Surface Constrained Upsampler Network for Point Cloud
35 Song Wang MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
36 Stephen Fenner Implementing the fanout operations with simple pairwise interactions
37 Homayoun Valafar "Revolutionizing Cardiovascular Health: Harnessing the Power of Deep Learning for Automatic Calcification Calculation in Vascular Systems"
38 Homayoun Valafar Smartwatch-Based Smoking Detection Using Accelerometer Data and Neural Networks
39 Homayoun Valafar Analysis of cancer patients’ molecular and clinical data using Machine Learning approaches
40 Vignesh Narayanan On Safe and Usable Chatbots for Promoting Voter Participation
41 Vignesh Narayanan Building a Digital Twin for Information Environment
42 Yan Tong Unlocking the Potential of Consumer Wearables for Predicting Sleep in Children: A Device-Agnostic Machine Learning Approach
43 Yan Tong Cascade Feature Fusion Network for Facial Expression Recognition
44 Ramtin Zand Facial Expression Recognition at the edge: CPU vs GPU vs VPU vs TPU
45 Ramtin Zand Static American Sign Language Recognition Using Neuromorphic Hardware


7 Minute Madness

Number Time slot Speaker
1 2:15 – 2:22 Ramtin Zand
2 2:30 - 2:37 Pooyan Jamshidi
3 2:40 – 2:47 Sanjib Sur
4 2:50 – 2:57 Forest Agostinelli
5 3:00 – 3:07 Vignesh Narayanan
6 3:10 – 3:17 Ioannis Rekleitis
7 3:20 – 3:27 Song Wong (presented by Ping Ping cai)
8 3:30 – 3:37 Christian O’Reilly
9 3:40 – 3:47 Biplav Srivastava
10 3:50 – 3:57 Jianjun Hu
11 4:00 – 4:07 Yan Tong
12 4:10 – 4:17 Steve Fenner
13 4:20 – 4:27 Homayoun Valafar


Closing Notes and Poster Awards

4:30 – 4:45 Dr. Homayoun Valafar