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1.
Traffic Optimization through Collective Intelligence
Vikram Prashant Gajendragadkar, Si Min Qiang, Gabriel Reynoso
2.
Efficient AI: Maximizing Throughput Without Diminishing Accuracy in Real-time In-Situ Computer Vision
Andre Colon, Khushi Pai, Aash Jatin Shah
3.
Statistical Learning vs Deep Learning in Financial Forecasting
Katrina Kling, Neha Sridhara, Sirisha Manjunathan
4.
On the Compatibility of Adversarial Training and Sparse Training in Vision Transformers
Jiawang Xu, Zhenting Hu, Haihan Zhang
5.
Accelerating MOE-based LLM Serving with Serverless Experts
Hao Wang, Renming Zhang
6.
Music Similarity Searching via ML Transformers
Randeep Chahal, Lohith Mula, Ishaan Bhalodia, Joy Khera
7.
Transformer Evaluation for Blackbox Data Security
Matthew Werner, Michael Moschello, Daniel Storms
8.
CelebroSense (Stroke Detection)
Harsh Adivrekar, Arshi Amrishkumar Patel, Shreyash Wakode
9.
Implementation and Evaluation of AI-Generated Image Detection Systems
Olajide Yusuf, Benjamin Ulrich, Chinmayee Mayekar, Neha Darawan
10.
[🥈 2nd Place Award] DEMI: A Reinforcement Learning Agent that Embodies Collective Intelligence to Minimize Attrition
Drishti Parekh, Eden Charles, Meetkumar Gajera
11.
AIShield: A Preprocessing Defence Layer for Detecting Manipulated Inputs
Mahera Sultana Shaik, Hafsah Afreen, Aaron Nathans
12.
Mitigating Data Poisoning: Detecting and Removing Malicious Outliers
Keval Sompura, Max Tuscano, Paras Jadhav
13.
Multi-Teacher Distillation for Whisper Using a Unified CNN-Transformer Student Encoder
Guo Zhonghao, Li Huaiyu, Ma Shanming
14.
Statistical learning v.s. Deep learning for Breast Cancer Detection
Rishi Patel, Malvi Patel, Rishika Pilli, Ishbat Mahmud
15.
NutriVision+ AI-Powered Food Recognition & Nutrition Estimation
Siddhant Rajhans, Madhura Girish, Gauthami Nonavinakere Prakash, Abhijith Viswanathan
16.
Distilling LLMs into Small Models for Medical Reasoning
Congcong Xu, Shoaib Ahmed, Anil Telaprolu
17.
Real-Time Earthquake Detection using CNN + LSTM
Karthikeya Vengala
18.
Financial Default Prediction using ML Explainability
Anandha Ragaven Ravi
19.
[🏅 1st Place Award] LLM Powered Agentic Systems and Applications
Yupeng Cao
20.
[🥉 3rd Place Award] Trustworthy Models and Data
Sabbir Ujjal
21.
Extending Preictal Horizons in AI-Driven Seizure Prediction with GNN–Causal Transformer
Daivarsi Malik
22.
Autonomous Racing Smart Car
Kedarnath Naik
23.
NeuroSecure: AI Security Framework for Seizure Detection
Karina Berberian
24.
Optimizing a Cloud-Based Visual Anomaly Detection Model for Edge Deployments
Nithin Reddy Venna
25.
Triple Threat LLM Optimization: Exploring the Efficiency Gains of Combining Multiple LLM Optimization Techniques for Inference
Amudhan Subramanian Manivasagam
26.
Hybrid Knowledge-Augmented Multimodal Architecture for Art Captioning
Yi-Wen Lin
27.
Adaptive GPU Optimization for Deep Learning Workloads Using Evolutionary Algorithms
Sameer Rajendra
28.
Bridging Machine Learning and Embedded Systems: Edge AI Experiments for Undergraduate Education
Saipranith Oku, ZhengLong Xu, and Dr. Mahmoud Al-Quzwini
29.
Mapping the Future of AI Infrastructure: A Data-Driven Approach to Data Center Siting
Atif Qadir, Titir Talukder, Xirui Yu, Shivam Raj
30.
Detecting Deceptive and AI-Generated Reviews Using RAG and XG-Boost: The Amazon Review Classifier (ARC)
Jeevan Suresh, Ram Kasuru, Kashish Shah
31.
Automated Tower Defense: Using Reinforcement Learning to Complete Bloons Tower Defense
Jack Griffith, Christopher Alessandri, Sahar Vacnich
32.
Efficient AI for Maritime Object Detection
Bilal Anwar, Liam Hua, Malik Tragna
33.
Can Phonetics Predict Grammar? A Cross-Linguistic Machine Learning Study
Tirth Joshi
34.
Hybrid CNN Architecture Integrating InceptionV3 and MobileNetV3 for Brain Tumour Detection
Puspita Chowdhury