Michtom School of Computer Science

Jayeol received a B.S. degree in Mathematics and Computer Science & Physics from Emory University. The topic of his undergraduate thesis was on semantic parsing, but Jayeol has also explored other research areas such as evolutionary theory, medical imaging and differential expression analysis. At Brandeis, he hopes to further strengthen his technical and mathematical background while cultivating an interdisciplinary perspective to think about artificial general intelligence.

Solomon received a B.A. in mathematics from Bard College with a focus on Mathematical Logic and Universal Algebra. At Brandeis, he researches computer vision and video processing, and he is particularly interested in the relationship between image semantics and motion in video.

Peizhao is a Ph.D. student in the Michtom School of Computer Science at Brandeis University, supervised by Prof. Hongfu Liu. Before that, he received his bachelor degree in Electronic and Information Engineering from Beihang University. His research interests include machine learning, representation learning, and relevant applications.

Guirong received her B.A and M.S degree in Electrical, Electronics and Communication Engineering from Shanghai Jiao Tong University. During her graduate studies and research, she learned more about artificial intelligence (AI) and worked on several projects using neural networks, where she found her passion. Her interest in AI makes her want to further pursue a doctoral degree at Brandeis in AI related areas, such as natural language processing.

Growing up, we have been learning and then losing various skills, but not all. One notable exception is the communication skill, challenged and developed time after time as we meet new people and start conversation with them. Modeling that skill from Computational Linguistics perspective is Alex’s overarching research agenda. Specifically, he is interested in dialog systems, computational models of discourse, dynamic meaning representations, and conversational corpus annotation. The real-life application he aims for is a socialbot that provides language learners with personalized interactions to improve their communicative competence. He is co-advised by Prof. Sophia Malamud and Prof. Nianwen Bert Xue.

Xiaodong received a B.S. degree in Computer Science from Dalian University of Technology. His research focuses on Brain-Computer Interface (BCI) with non-invasive  electroencephalogram(EEG) data. He tried both clinical and nonclinical approaches with BCI data for activity recognition and disease detection etc. Personalization is one of the core findings because each individual's brain signals are so unique that the current BCI systems perform much better with personalized pattern recognition (A2E’18, FIE’18). Most of the time he is using deep learning frameworks (TensorFlow and Pytorch) on our own GPU-enhanced Linux servers or on cloud services such as Google Cloud and AWS.

 

Long Sha is a Ph.D. candidate in computer science at Brandeis University working with Prof. Pengyu Hong. His research areas include deep learning in natural language processing and temporal sequence learning. Additionally, he is exploring novel approaches adopting deep learning to tackle all kinds of problems. Long also received his Master's degree from Brandeis University. In his spare time, he enjoys traveling, snowboarding and watching movies.

Chi earned his Master's degree in data science at Worcester Polytechnic Institute. After working at two high-tech companies, Amazon and Ctrip, areas such as big data management, machine learning and AI became extremel interesting to him. He hopes to dig into these areas for research and make some contributions in the next few years. This has led him to Brandeis University, with its excellent reputation in science, where he is pursing his Ph.D. in computer science.