Machine Learning Laboratory

RESEARCH TEAM

Director

• Hoda Eldardiry

Students

PhD advisees

• Hongjie Chen
• Jiaying Gong
• Vasanth Reddy Baddam
• Afrina Tabassum
• Ming Cheng
• Jiazhen Hu

MS advisees

• Humaid Desai
• Ahmed Aredah
• Gurkirat Singh

Alumni

MS Alumni

• Vasanth Reddy Baddam MS 2022 - Now a PhD Student @ our lab
• Chenhan Yuan MS 2021 - Now a PhD Student @ University of Manchester
• Milad Afzalan MS 2020 - Now an AI Researcher @ Schneider Electric

Undergraduate Alumni

• Yaseen Ahmed - BS Student Exchange
• Ahmed Hassan Fathi - BS Student Exchange
• Yuan Chen - BS 2021 - Now a Masters Student at Rice University
• Joshua Matthew - Undergraduate researcher
• Tran Chau - Undergraduate researcher
• Mia Taylor - BS 2021 - Now a Masters Student at Virginia Tech

STUDENT NEWS

Journal Publications

• May ‘22 - Hongjie’s paper is accepted for publication in the ACM Transactions on Knowledge Discovery from Data (TKDD): Graph Deep Factors for Probabilistic Time-series Forecasting.
• Oct ‘21 - Milad’s paper is published in the IEEE Access Journal: Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation. – code, data, presentation

Conference Presentations

• Dec ‘22 - Chenhan presented our paper at IEEE International Conference on Big Data 2022: Clustering-based Unsupervised Generative Relation Extraction.
• Jun ‘22 - Vasanth presented our paper at the American Control Conference (ACC): Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. – code, presentation, poster
• Feb ‘22 - Vasanth presented our paper at AAAI Workshop on Reinforcement Learning in Games: Cooperation Learning in Time-Varying Multi-Agent Networks. – code, presentation, poster
• Dec ‘21 - Hongjie presented our paper at IEEE International Conference on Big Data 2021: Context Integrated Relational Spatio-Temporal Resource Forecasting. – code, data
• Dec ‘21 - Jiaying presented our paper at ICONIP 2021: Multistage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction. – code, data, presentation
• Nov ‘21 - Chenhan presented our paper at EMNLP 2021: Unsupervised Relation Extraction: A Variational Autoencoder Approach.
• Nov ‘21 - Jiaying presented our paper at CIKM 2021: Zero-shot Relation Classification from Side Information. – code, data, presentation
• Aug ‘21 - Hongjie presented our paper at KDD 2021: Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
• Jun ‘21 - Jiaying presented our paper at EANN 2021: Predicting Stock Price Movement Using Financial News Sentiment.

Research Presentations

• Apr ‘23 - Hongjie presented our work on GNN-based Relational Modeling for Time-seires Forecasting at the Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning
• Jun ‘22 - Jiaying presented our work on Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain at the CCI 2022 Showcase

Final Defense

• Dec ‘22 - Vasanth defended his MS. thesis: Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems
• Apr ‘21 - Chenhan defended his MS. thesis: N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised Learning
• Jun ‘20 - Milad defended his MS. thesis: Household electricity load shape segmentation from smart meter data based on temporal pattern and power magnitude

Preliminary Exams

• Apr ‘23 - Afrina defended her research proposal: Multimodal Learning: Representation and Generation
• Dec ‘22 - Jiaying defended her research proposal: Few-Shot and Zero-Shot Learning for Information Extraction
• Dec ‘22 - Hongjie defended his research proposal: Deep Graph Learning based Relational Modeling for Time-series Forecasting

Internships

• May ‘23 - Afrina started her research internship at Microsoft Research
• May ‘23 - Hongjie started his research internship at Yahoo Research
• May ‘23 - Jiaying started her research internship at Ebay
• May ‘23 - Ahmed started his research internship at Leidos
• May ‘23 - Humaid started his internship at Ellucian
• May ‘22 - Afrina started her research internship at Los Alamos National Laboratory
• May ‘22 - Jiaying started her research internship at Rakuten
• May ‘21 - Vasanth started his research internship at Siemens
• Jun ‘20 - Hongjie started his research internship at Adobe Research
• Jun ‘20 - Afrina started her research internship at the University of Virginia Biocomplexity Institute
• May ‘20 - Mia started her internship at Amazon Web Services (AWS)

Alumni Adventures

• Sep ‘21 - Chenhan started his PhD at University of Manchester
• Jul ‘20 - Milad joined ENGIE North America as a Data Scientist