Ongoing Projects

Mobile Computing & Security
Dr. Yuting Zhang, Dr. Tanya Zlateva, Dr. Lou Chitkushev
The Mobile Computing & Security Lab (MobCS) Lab studies various aspects in the mobile computing and security area with a particular focus on Android systems. Our work includes mobile platform enhancement, mobile application analysis and mobile sensing. The MobCS lab supports both education and research in Mobile Computing and Security by engaging the faculty and students in the research projects and by the provision of educational and research resources.

Health Informatics
Dr. Guanglan Zhang, Dr. Lou Chitkushev
The Health Informatics Research Lab (HILab) contributes to the improvement of healthcare by pursuing research and development in health informatics, bioinformatics, and clinical research. Our work involves standardization and cataloging of medical algorithms, development of classification algorithms for bioinformatics, and implementation of knowledge-based systems for biomedicine.

Data Science/Machine Learning
Dr. Eugene Pinsky
A collaborative project in data science/machine learning with the Center for Neural Imaging (CNI) at Brigham and Women’s Hospital. The project focus is on analysis of images for Multiple Sclerosis (MS) patients and on building classifiers to automatically predict and classify different stages of the disease.

Software Development 
Dr. Eric Braude

Multiple ongoing projects including using neural nets for post-failover system operation, PREXEL: Rapid UML class modeling for agile development, GEOPAR: Automatically creating and proving theorems in 2-dimensional geometry and new methods for large, real-world UML class models.

Revolutionizing Flow, Heat and Dispersion Predictions over Complex Urban Environments
Dr. Dan Li (CAS), Dr. Kia Teymourian 
Research in conjunction with Hariri Institute. As more and more of the population lives in the city, it is more and more challenging to understand and make predictions of heat transfer and dispersion of air pollutants over urban environments. The team will use and develop the machine learning models to execute the project. It is less computationally expensive and much faster, and may better capture the small-scale variabilities. The new model could help to identify key locations for sensor deployment. The investigators aim to submit full-blown proposals to the Army Research Office at the Department of Defense and/or the Environmental Sustainability Program at the National Science Foundation.

Computer Science & Education in Computer Science Conference (CSECS) Boston University Metropolitan College is a sponsor of CSECS and hosts the conference every three years in Boston, MA. The next conference will be hosted in 2021. The conference features papers in a wide range of Computer Science research areas ranging from Software Engineering to Information Systems Security are considered for presentation and publication in the conference proceedings. Computer Science Education topics range from introduction and evaluation of computing programs, curricula, and online courses, to syllabus, laboratories, teaching, and pedagogy.


Faculty & Student Publications

Master’s Thesis Publications