I am an Associate Professor of Mechanical Engineering at the University of Michigan-Flint. Prior to joining University of Michigan in 2013, I was an Assistant Professor at University of North Texas. My research interests include heat transfer in microelectronics and nanostructures, thermal properties of thin films of new and existing materials, multimodal sensing of human behavior, computational modeling of forced and natural heat convection. I am the recipient of several awards, including the 2006 Harvey Rosten Award for Excellence for “outstanding work in the field of thermal analysis of electronic equipment”, the best paper award at the Semitherm conference in both 2013 and 2006, the Young Engineer of the Year from the North Texas Section of ASME (2006), a Leadership Award from SMU (2002), and a Valedictorian Award (1995).
My research projects are in the broad area of heat transfer in microelectronics and nanostructures, multimodal sensing of human behavior, computational modeling of forced and natural heat convection.
One of our main research goals is to advance the understanding of the thermal behavior of modern microelectronic devices. We focus on using experimental, numerical, and analytical tools to improve the design of to-be-built devices, to analyze the thermal behavior of existing devices, and to characterize the thermophysical properties of nanoscale films. An important result of our research in this area is the fact that it is now possible to rapidly design and build a thermoreflectance system and to easily identify the optimal composition and geometry of the samples to be tested.
We work on the automatic identification of deception in a multimodal setting, using data collected from lab experiments as well as from real-life situations (e.g., trial data). Our multimodal deception detection system relies on both verbal and non-verbal clues to discriminate between truthful and deceptive statements, with accuracies in the range of 60-75%, which exceeds by a large margin the non-expert human performance on this task.
We are exploring a new generation of computational tools for joint modeling of human behavior. Using information drawn from physiological sensing (e.g., heart rate, respiration rate, galvanic skin response, skin temperature), gesture analysis, and linguistic signals, we develop models able to detect and analyse various human behaviors, including thermal discomfort, driver alertness, acute stress. Our data-driven learning approaches take advantage of the recent progress in early, late, and temporal fusion models.
I have been fortunate to work with a number of very talented students and postdoctoral fellows.
I have been teaching several graduate and undergraduate classes in mechanical engineering, in the areas of thermodynamics, statics, heat transfer, dynamics, and others.
Understanding of the principles of mechanics and their application to the solution of engineering problems, especially in equilibrium state. Free-body diagrams introduced; equilibrium problems and resultants of general force systems stressed.
Study of the first and second laws of thermodynamics and their applications to the analysis of processes involving the control and utilization of energy. Properties and behavior of pure substances, ideal gases, and mixtures; heat engine and refrigeration cycles.
Laboratory experiments in the thermal properties of matter, including thermodynamic states, transport and transfer of thermal energy, momentum and mass, with and without internal thermal sources, and the transient and steady-state thermal properties of matter.
Application of principles of mechanics and other engineering science to analysis of force systems in motion, including kinematics of particles and rigid bodies; kinetics of particles and rigid bodies by Newton’s laws; work and energy methods; impulse and momentum.