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. CerebroSense (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. DEMI: A Reinforcement Learning Agent that Embodies Collective Intelligence to Minimize Attrition, Drishti Parekh, Eden Charles, Meetkumar Gajera

  11. AISheild: 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. LLM Powered Agentic Systems and Applications, Yupeng Cao

  20. 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