Melike Yildiz Aktas
PhD Student in Computer Science
Virginia Tech
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About Me
About Me
Melike Yildiz Aktas is a Ph.D. student in the Computer Science at Virginia Tech and a proud member of the Sanghani Center for Artificial Intelligence and Data Analytics.
She is specializing in Graph Machine Learning and Natural Language Processing. Her research includes predictive modeling, social network analysis, and multilingual AI, with projects ranging from improving school success prediction to generating synthetic medical dialogues. She has published in top conferences like IEEE Big Data and ASONAM.
She is passionate about STEM outreach. She teaches coding to children, fostering creativity and technical skills. She is proficient in Python, Java, R, and MATLAB and experienced with tools like Tableau, MySQL, and AWS.
Resume
Resume
MelikeYildizAktas_Resume.pdfExplore my resume to learn more about my expertise in Network Science, Natural Language Processing, and Machine Learning, as well as my commitment to developing innovative solutions for complex, real-world challenges.
Recent Publications
Recent Publications
Melike Yildiz Aktas, Taoran Ji, and Chang-Tien Lu (2024). "Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand Prediction", Proceedings of the 2024 IEEE International Conference on Big Data, Special Session: Machine Learning on Big Data (MLBD 2023), Washington DC, USA, December 15-18, 2024.
Melike Yildiz Aktas, Aadyant Khatri, Mariam Almutairi, Lulwah Alkulaib, and Chang-Tien Lu (2024). "Enhancing School Success Prediction with FRC and Merged GNN", Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, Calabria, Italy, September 2-5, 2024.
Melike Yildiz Aktas, Lulwah Alkulaib, and Chang-Tien Lu (2023). "UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset", Proceedings of the 2023 IEEE International Conference on Big Data, Special Session: Machine Learning on Big Data (MLBD 2023), Sorrento, Italy, December 15-18, 2024. URL
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