The Data Driven Engineering Research (DataDrivER) program is funded through a collaborative agreement with the Army Research Laboratory (ARL). DataDrivER is intended to advance the research community’s capabilities to perform data intensive research and to accelerate the development of fundamental research outcomes that are relevant to a wide range of technology areas.
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions
Meet the Project Leads
Michael Pack
Michael Pack is the founder and director of the CATT Laboratory where he works with his applied R&D team to make transportation data more readily accessible and usable by transportation officials and researchers. He has previously worked at the University of Virginia’s Smart Travel Lab and the Oak Ridge National Laboratory’s Center for Transportation Analysis. Through the development of innovative applications and data visualization tools, Michael’s team enables informed decision-making, better response to emergencies, insight discovery, and increased productivity. Learn more
Wolfgang Losert
Wolfgang Losert leads the Dynamics of Living Systems Laboratory, where his group works at the convergence of physics, biology, and artificial intelligence and analyzes the biological role of multiscale dynamics in cells and tissues. He led an AFOSR MURI team that discovered that cells harness intracellular waves as primary sensors of physical signals. The focus of current research is the role of non-electrical dynamics in living neural networks and AI algorithms inspired by these unique signals. In the JRL project, Dr. Losert is leading a group of interdisciplinary trainees to deploy a living neural network platform, which integrates wetware (live cells), hardware, and software to enhance real-time analysis for defense applications. Learn more
John Baras
John Baras leads the Integrated Data Driven and Model-Based Systems Engineering (IDDMBSE) for Trusted Autonomy, focusing on enhancing the reliability of autonomous systems. As a Distinguished University Professor at the University of Maryland, College Park, he has made significant contributions to systems engineering, applied mathematics, and communication networks. With over 1,000 technical papers, 19 patents, and numerous awards, including the IEEE Simon Ramo Medal, his work has had a profound impact on both academia and industry.
William Bentley
William Bentley leads the BioNose team, which pioneers the development of “Living” Microelectronic Materials, creating the first system to integrate a living cell with a machine interface. As the Robert E. Fischell Distinguished Professor of Engineering and Inaugural Director of the Fischell Institute for Biomedical Devices at the University of Maryland, his work spans bioengineering, biofabrication, and bioelectronics. Bentley’s research has made significant advances in molecular tools and communication between devices and biological systems.
Ongoing Projects
Cyber-Physical Systems
Integrated Data Driven and Model-Based Systems Engineering
BioNose
Transfer Learning for Engineering Design
Application of Large Language Models in Communications and Networks