The ENDEAVR leadership team includes one Principal Investigator (PI) and four Co-PIs. They are passionate educators working at Texas A&M University (TAMU). They have a strong record of excellent research and teaching based on interdisciplinary collaboration. They are committed to active learning and strive to train the next generation of lifelong learners and forward-thinking visionaries, who are capable of working with diverse stakeholders, performing sophisticated analyses, and making decisions under complex, uncertain situations.
Dr. Wei Li (PI) is Associate Professor of Urban Planning. Prior to ENDEAVR, he has led several project-based active-learning projects at Texas A&M University. He is a grant recipient from the National Science Foundation (NSF) – Research Experiences for Undergraduates Program, which provides research training for undergraduate students from the underrepresented minority groups. Dr. Li is an expert of sustainable transportation and urban economics; he has produced impactful research work funded by NSF and NIH. His work has been published in various journals, such as Journal of Planning Education and Research, Landscape and Urban Planning, Urban Studies, American Journal of Public Health, Environment and Planning, and Transportation Research Record.
Professor Anatol Bologan (Co-PI) is Instructional Assistant Professor of Visualization. He is an expert in interactive design, visual communication, and interdisciplinary art. Professor Bologan extends his art practice through collaborations with scientific and engineering labs to source imagery and data for his projects. His primary areas of visual research are traditional and digital forms of art, communication media, and design. Throughout his professional career, he has worked on large-scale international projects for clients such as Intel, HP, Microsoft, Sony, Universal, Disney, and others. He brings his professional and academic experience to the class where he engages students with interdisciplinary, real-world projects focused on Data Visualization, UI/UX, and Interactive Design, where art and design are integral components of the research.
Dr. Xia Hu (Co-PI) is Assistant Professor of Computer Science. He has extensive prior research experience in network analysis, relational learning, subspace learning, multi-source/multi-view learning, and human knowledge discovery. His work focuses on developing data mining and machine learning algorithms with theoretical properties to better discover actionable patterns from large-scale, networked, dynamic and sparse data. His research is directly motivated by, and contributes to, applications in social informatics, health informatics, and information security. His research has already been integrated into industrial products and shown to be useful in real practice. He is currently leading multiple NSF and DARPA projects on data mining and machine learning. He brings a solid software foundation, based on his rich research and teaching experiences on interdisciplinary data analytics.
Dr. Chanam Lee (Co-PI) is Professor of Landscape Architecture. She is an expert in “active living” research and design which deal with environmental and policy approaches toward promoting physical activities and public health. Dr. Lee has led many community-based and interdisciplinary research and studio/design projects that focus on promoting health and mobility, including those funded by NIH and RWJF. Ensuring sustainable and meaningful impacts of her work on local communities is a common goal across her projects. She is experienced in developing instruments/guides to benefit communities and to facilitate community/policy actions (e.g., policy brief, audit instrument, infographics, and design guides).
Dr. Alireza Talebpour (Co-PI) is Assistant Professor of Civil Engineering. His research and teaching efforts focus on evaluating the impacts of automated vehicles on safety, congestion, emissions, and energy consumption in transportation systems. He has developed two autonomous vehicles for TAMU. He is currently leading SAE/GM AutoDrive Challenge, a three-year competition among eight universities to design and develop a fully automated Chevy Bolt EV. As part of this competition, he is teaching a two-semester interdisciplinary senior design course with students from multiple departments and colleges (Civil Engineering, Mechanical Engineering, Electrical and Computer Engineering, Computer Science and Computer Engineering, Industrial and System Engineering, and Landscape Architecture and Urban Planning).