Presentation Topics from Previous Years

Topics covered in the student group presentations of previous years. Linked titles have their slides available.

A Comparative Study of Nature-Inspired Optimization Algorithms
A Systematic Review of Machine Learning Techniques in Skin Cancer Diagnosis
Adaptive Traffic Signal Control Using Reinforcement Learning
Analysis of Common Activation Functions in Deep Learning
Anomaly Detection and Threat Prediction in Cybersecurity using ML
Autonomous Agent Control Using Double Deep Q-Network
Brain tumor classification using vision transformers
Comparative Analysis of Data-Driven GNN-Based Path Planning
Decentralized Machine Learning with Federated Learning
Deep reinforcement learning for legged robots
Eigen-Portfolios: From Single-Component Models to Ensemble Approaches
Evolution of Reinforcement Learning Strategies in Turn-Based Decision Systems
From Random to Smart Sampling: The Prediction-Enhanced Monte Carlo Framework
Hybrid Adaptive Search for Efficient Feature Binning in Gradient Boosting
Integrating Gaussian Processes with Model Predictive Control
Intelligent Control Through Wavelets
Interpretability and the LIME Algorithm for Image Classification
Introducing Context to Learning with LSTM Networks
Introduction to Generatively Pretrained Transformer
Machine Learning-Based Heuristics for Efficient Vehicle Dispatching
News-Driven Stock Market Prediction Using Sentiment and Time-Series Data
Operator theory in machine learning
Optimization Algorithms in Deep Learning
Optimization Techniques in Machine Learning
Physics-Informed Neural Networks for Solving Differential Equations
Recurrent Neural Networks and Backpropagation through Time
Reinforcement learning for autonomous vehicle control
Reinforcement Learning–Based Model Predictive Control for Greenhouse Climate Control
Review Study of Physics-Based Character Animation through Reinforcement Learning
RevNet: Efficient Backpropagation with Reversible Residual Networks
Semantic Search-based Best Job Matcher app using Sentence Transformer
Simple Transformers for Time-Series Control
Stock price prediction using advanced deep learning architectures
The principles behind large language models
TransUnet: Combining Transformers and UNet for medical Image segmentation
Urban Pathfinding with Heuristic and Neural Techniques
Word Embeddings to Contextual Representations

--- title: "Presentation Topics from Previous Years" --- Topics covered in the student group presentations of previous years. Linked titles have their slides available. - A Comparative Study of Nature-Inspired Optimization Algorithms - A Systematic Review of Machine Learning Techniques in Skin Cancer Diagnosis - Adaptive Traffic Signal Control Using Reinforcement Learning - [Analysis of Common Activation Functions in Deep Learning](old/2025_activation_functions.pdf) - Anomaly Detection and Threat Prediction in Cybersecurity using ML - Autonomous Agent Control Using Double Deep Q-Network - Brain tumor classification using vision transformers - Comparative Analysis of Data-Driven GNN-Based Path Planning - Decentralized Machine Learning with Federated Learning - Deep reinforcement learning for legged robots - Eigen-Portfolios: From Single-Component Models to Ensemble Approaches - Evolution of Reinforcement Learning Strategies in Turn-Based Decision Systems - From Random to Smart Sampling: The Prediction-Enhanced Monte Carlo Framework - Hybrid Adaptive Search for Efficient Feature Binning in Gradient Boosting - Integrating Gaussian Processes with Model Predictive Control - Intelligent Control Through Wavelets - Interpretability and the LIME Algorithm for Image Classification - Introducing Context to Learning with LSTM Networks - Introduction to Generatively Pretrained Transformer - Machine Learning-Based Heuristics for Efficient Vehicle Dispatching - News-Driven Stock Market Prediction Using Sentiment and Time-Series Data - Operator theory in machine learning - Optimization Algorithms in Deep Learning - [Optimization Techniques in Machine Learning](old/2025_optimization_methods_in_ml.pdf) - Physics-Informed Neural Networks for Solving Differential Equations - Recurrent Neural Networks and Backpropagation through Time - Reinforcement learning for autonomous vehicle control - Reinforcement Learning–Based Model Predictive Control for Greenhouse Climate Control - Review Study of Physics-Based Character Animation through Reinforcement Learning - RevNet: Efficient Backpropagation with Reversible Residual Networks - Semantic Search-based Best Job Matcher app using Sentence Transformer - Simple Transformers for Time-Series Control - Stock price prediction using advanced deep learning architectures - The principles behind large language models - TransUnet: Combining Transformers and UNet for medical Image segmentation - Urban Pathfinding with Heuristic and Neural Techniques - Word Embeddings to Contextual Representations