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