Image credit Research & Applied Projects
Projects that move from idea to algorithm, thinking with data and speaking through models.
Master's Project
Green Energy Demand Forecasting with Volatility-Aware LSTM
Developed a new UK daily dataset (2000–2023) and compared ARIMA, SARIMAX+GARCH, and deep learning models to forecast green energy demand.
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Interpretable Dialogue Generation with Attention-based Encoder-Decoder
Trained and interpreted an attention-based encoder–decoder model for dialogue generation, using beam search decoding and epoch-wise attention analysis.
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Context-Aware Dialogue Act Tagging with CNN-BiLSTM Architecture
Built a hybrid CNN-BiLSTM model for context-aware dialogue act tagging and visualized attention masks for interpretability.
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Character Similarity via Vector Space Semantics
Explored distributional semantics to measure character similarity in dialogue data using TF-IDF and cosine similarity.
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Image Classification on FashionMNIST with CNN
Built and trained a CNN on FashionMNIST using PyTorch with proper weight initialization, loss analysis, and performance evaluation.
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CNN Architecture Search with Genetic Algorithms
Used a Genetic Algorithm to evolve optimal CNN architectures for Farsi vowel classification, combining evolutionary computation with deep learning.
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London Tube Route Finder with Cost-Aware Search Algorithms
Developed a cost-aware path-finding system for London Underground using BFS, DFS, UCS, and zone-based heuristics.
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Empirical Demonstration of LLN and CLT on Pareto and Cauchy Distributions
Simulated and visualized how LLN and CLT behave under heavy-tailed distributions such as Pareto and Cauchy in Python, contrasted with light-tailed cases.
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Distribution Modeling on Financial Time Series with MLE
Applied Maximum Likelihood Estimation on Dow Jones daily returns to identify the best-fitting distribution and compared empirical and theoretical PDFs.
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Sentiment Analysis from Tweets using SVM
Built a sentiment analysis pipeline for tweets using SVM with TF-IDF features, cross-validation, and error analysis.
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Reality Capture from Multiple Video Cameras
Developed a multi-camera reality capture system using YOLO, MIDAS, and photogrammetry techniques for 3D vehicle reconstruction in Intelligent Transportation Systems.
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Time Series Forecasting for Siemens Electrical Product Sales
Developed a SARIMA-based forecasting solution for Siemens Turkey to predict future sales of electrical products, supporting demand planning and inventory optimisation.
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Logic and Digital System Design Projects (FPGA Implementation)
Design and FPGA implementation of digital systems using Verilog, including a vending machine controller and optimized 16-bit adder–subtractor architectures with performance analysis.
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Functional Enrichment Analysis of Differentially Expressed Genes (MCF7 – Estradiol)
Functional enrichment analysis of estradiol-induced gene expression changes in MCF7 cells, revealing key biological pathways related to cell cycle regulation and hormone response.
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Gene Expression Clustering and Visualisation using Machine Learning
An unsupervised learning approach to uncover hidden structures in cancer gene expression data using K-Means clustering, PCA, and t-SNE for biological interpretation and visualization.
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Comparative Genomic Analysis of SARS-CoV-2
A comparative genomic and proteomic study of SARS-CoV-2, analyzing sequence variations and Spike protein mutations to understand their impact on viral infectivity.
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