Research-Related Faculty


Evangelyn Alocilja

Biosensors, nanostructured bio-detection devices, diagnostics for infectious diseases, biodefense, food safety, environmental safety, electronic nose


Selin Aviyente

Her research focuses on the theory and applications of statistical signal processing, in particular non-stationary signal analysis. She is interested in developing methods for efficient signal representation, detection and classification. Dr. Aviyente is also interested in the applications of signal processing to biological signals such as the analysis of event related brain potentials. Her current research focuses on the study of the functional networks in the brain.


Seungik Baek

Cardiovascular mechanics, vascular growth and remodeling, mechanobiology and  tissue engineering,  and computational and statistical interventions for vascular disease.


Subir Biswas

Subir's research interests include the broad area of wireless data networking, low-power network protocols, vehicular networks, on-body networks, and application-specific sensor networks. Research in Prof. Biswas' NeEWS laboratory spans across a wide range of embedded system design issues including resource-constrained network systems, embedded operating systems, network middleware, mobile content delivery, and application specific hardware and software subsystem design.


C. Titus Brown

C. Titus Brown is an assistant professor in the Department of Computer Science and Engineering and the Department of Microbiology and Molecular Genetics. He earned his PhD ('06) in developmental molecular biology from the California Institute of Technology. Brown is director of the laboratory for Genomics, Evolution, and Development (GED) at Michigan State University. He is a member of the Python Software Foundation and an active contributor to the open source software community. His research interests include computational biology, bioinformatics, open source software development, and software engineering.


Tamara Reid Bush

Biomedical, mechanics of seating, hand function, musculoskeletal dysfunction, pressure ulcers, soft tissue responses to loading.


Joyce Chai

Joyce Chai is a Professor in the Department of Computer Science and Engineering at Michigan State University. Prior to joining MSU in January 2003, she was a Research Staff Member at IBM T. J. Watson Research Center. She received a Ph.D. in Computer Science from Duke University in 1998. Her research interests include multimodal conversational systems, natural language processing, and intelligent user interfaces. She is a receipient of a National Science Foundation Career Award in 2004.


Shantanu Chakrabartty

His research group focuses on three aspects of hybrid circuits and systems: MORPHING - Investigating neural inspired circuits; SYNTHESIS - Using hybrid computational elements (biological and silicon) to design biomolecular circuits and systems; MONITORING - Embedded and implantable monitoring of natural and engineered systems.


Christina Chan

Systems biology and bioinformatics, metabolic engineering, nanoparticles and drug delivery systems, cellular and tissue engineering, diabetes, cancer, Alzheimer and Parkinson's diseases.


John Deller

His research interests include statistical signal processing with applications to speech and hearing, genomics, and other aspects of biomedicine. His work has been published in respected journals and conferences, and he has authored or co-authored three textbooks and contributed chapters to several research books. His tutorial paper "Tom, Dick, and Mary Discover the DFT" was awarded the IEEE Signal Processing Magazine Best Paper Award in 1998.


Lixin Dong

Dr. Dong's main research interests include nanorobotics, nanoelectromechanical systems (NEMS), mechatronics, mechanochemistry, and nanobiomedical devices. Prior to joining MSU in December 2008, he held a Senior Research Scientist position at Swiss Federal Institute of Technology (ETH) Zurich, where he led the NanoRobotics Group in the Institute of Robotics and Intelligent Systems (IRIS). He became Research Associate in 1992, Lecturer in 1995, and Associate Professor in 1998 at Xi'an University of Technology, Assistant Professor at Nagoya University in 2003, and Research Scientist in 2004 at ETH Zurich. He has authored/coauthored more than 50 journal articles, 8 book chapters, and 80 peer-reviewed international conference papers. He received the IEEE TASE Googol Best New Application Paper Award in 2007, Best Conference Paper Award at the Int. Conf. on Control Sci. and Engr. (ICCSE2003), and Finalist of Best Paper Award at IEEE ICRA2007, IROS2005, and ICRA2001. He serves as Associate Editor of the IEEE Trans. on Nanotechnology and the IEEE Trans. on Automation Science and Engineering.


Erik Goodman

Goodman is Director of the BEACON Center for the Study of Evolution in Action, an NSF Science and Technology Center, which began operation in August, 2010. The center conducts multidisciplinary research on evolution going on in the lab and field, in "digital organisms" in the computer, and in evolutionary computation applied to solution of problems in engineering and computer science. Goodman's personal research centers on evolutionary computation, particularly heterogeneous and parallel genetic algorithms and genetic programming. He is a founder of Red Cedar Technology, Inc., which writes and supports design automation and optimization software for industry. He is also involved in information and communications technology research and outreach in Africa.


Syed Hashsham

Dr. Hashsham's research focuses on environmental molecular biology and mathematical tools to address environmental engineering issues. Current research focuses on the development of DNA biochips for parallel detection of microorganisms important to drinking water and wastewater. Approaches for improved detection limit, sample concentration, probe design, and validation are of special interest. Dr. Hashsham is also interested in developing new tools to manage mixed microbial communities important to environmental biotechnology.


Roger Haut

Impact-trauma biomechanics, orthopaedic biomechanics, experimental mechanics


David Hodge

Biomass Conversion; Biobased Industrial Products; Biotechnology; Energy Production; Process Optimization, Modeling, and Control.


Peter Lillehoj


Prof. Lillehoj's research interests include BioMEMS, nanotechnology, microfluidics, biosensors, and point-of-care diagnostics. Specifically, his work focuses on the development of microsystems for current and emerging applications in clinical diagnosis, biosecurity and food/water safety. He also has interests in the development of simple and low-cost technologies for sample preparation & bioprocessing and innovative approaches to manufacture disposable biosensors for global healthcare diagnostics.


Bradley Marks

Dr. Marks leads a multidisciplinary research team at the interface of engineering and microbiology. Current research foci include: Predictive microbiology; Microbial food safety; Modeling food processing systems; and Heat, mass, and microbial transport in food media.

Courses taught:

  • BE 101 - Introduction to Biosystems Engineering
  • BE 350 - Heat and Mass Transfer in Biosystems (team taught)
  • BE 385 - Engineering Design and Optimization for Biological Systems
  • BE 478 - Food Engineering: Solids (team taught)
  • BE 870 - Engineering Methods for Food Safety - a completely web-based graduate course.

Andrew Mason

Dr. Mason research utilizes mixed-signal integrated circuits and microfabrication to addresses challenges in microsystem development for biochemical, neural, and environmental sensing applications. Current projects include high-resolution, low-power, bioelectrochemical interrogation circuits; adaptive chemical sensor interface circuits; post-CMOS fabrication of electrochemical sensor arrays; and implantable mixed-signal integrated circuits for signal processing of wireless neural recordings. Dr. Mason is a Senior Member of the IEEE, an Associate Editor for IEEE Transactions on Biomedical Circuits and Systems (TBCAS), and a General Chair of the 2011 IEEE Biomedical Circuits and Systems Conference. He teaches courses in the area of microelectronics and biomedical engineering, including VLSI design, microprocessor systems, and biomedical instrumentation.


Robert Mcgough

His research interests include biomedical ultrasonics and electromagnetics, thermal therapy, targeted drug delivery, and medical imaging. He is a member of IEEE (UFFC and EMB Societies), the Society for Thermal Medicine, the Acoustical Society of America, and the International Society for Therapeutic Ultrasound.


Ramakrishna Mukkamala

His research interests include biomedical signal processing and identification, modeling of physiologic systems, and cardiovascular physiology. He is a recipient of an AHA Scientist Development Grant, an NSF CAREER Award, and an MSU Teacher-Scholar Award.


Karim Oweiss

Statistical signal processing, neural integration and coordination in sensorimotor systems, neural mechanisms of plasticity and learning, computational neuroscience. Applications in neuroinformatics, neuroprosthetics and brain-machine interfaces. His lab is interested in investigating how the activity of ensembles of neurons in the brain is integrated to give rise to an observed behavior. To fulfill this mission, his group is working on engineering advanced tools to simultaneously monitor the activity of single brain cells while subjects interact naturally with their surroundings. These tools range from miniaturized implantable microsystems that measure this microscale brain activity to sophisticated algorithms that process the activity to identify critical neural circuits governing multiple functions we perform in our daily life. The outcome of his research may help many people who suffer from multiple neurological diseases and disorders such as Parkinson's disease and Epilepsy.


Steven Safferman

Dr. Safferman conducts research on treatment trains to minimize and treat wastes including those originating from animal agriculture and food processing, the conversion of high energy waste to biogas that serves as a renewable energy source, and novel reactor designs such as anaerobic membrane systems and fluidized bed reactors. He lead the development of modeling and evaluating techniques for anaerobic digestion systems including empirically screening feedstock to estimate energy potential, conducting biogas potential assays, conducting bench-scale treatability testing, evaluating novel farm-scale technologies, and developing decision support guidance. Teaching activities include the coordination and team teaching of three required Department classes and an interdisciplinary sustainability class in the Honors College.

Jeff Sakamoto
Jeff Sakamoto

As a materials scientist and chemical engineer with an interest in synthesis, processing, and functionalization of ceramics and hydrogels, my research is interdisciplinary guided by the fields of energy storage/conversion and biomedicine.   I argue that the entire length scale, from atoms to the macro scale and everything in between, must be viewed holistically in the design, synthesis and development of advanced materials and materials technology.  Porosity is central to my group’s research.  In some instances porosity, particularly at the nano scale, enables the solution-based synthesis of complex and often metastable ceramics and hydrogels with unique electrochemical, biological and mechanical properties.  In other aspects of my group’s research, ironically, porosity is initially used to synthesize complex materials, in gels and powder form, to enhance subsequent densification.  Essentially, I am interested in ceramics and hydrogels with a focus on studying the interplay between length scales and the absence of mass (porosity or vacancies). I hope to use this experience to discover and develop new materials and materials technology for energy and biomedicine.


Erik M. Shapiro

The research emphasis of the Molecular and Cellular Imaging Laboratory (MCIL) is generally focused on developing and using magnetic resonance imaging (MRI) and X-ray computed tomography (CT) for molecular and cellular imaging of biological phenomena, regenerative medicine and early detection of disease. Working at the intersection of chemistry, physics and biology, my laboratory has four main chemical engineering cores. The first is the development of novel clinically viable nanoparticle contrast agents for MRI. The second focus is the development of high relaxivity superparamagnetic nano- and micro-particles whose MRI properties can be made sensitive to various stimuli, gene expression, for example. The third focus revolves around the creation of CT active nanomaterials with the capability to efficiently deliver large payloads of high-z metals such as bismuth, gold or gadolinium in a safe polymer construct. The fourth core is the development of targeted nano-theranostics. The strategy here is to selectively target nanomaterials containing both imaging agents and medicinal components to precise tissues or cells of interest by way of antibody- or receptor-mediated affinity.


George Stockman

George Stockman is a professor emeritus of Computer Science (1 Jan 2011) but is still doing research, reviewing and outreach. Interests include computer vision, image processing, graphics and artificial intelligence. Recent work has been in the modeling, recognition, and measurement of objects and has both theoretical and practical aspects. Teaching interests include algorithms, data structures, computer graphics and computer vision, and programming languages. Since 2007, I've been active with ITEC Lansing working with middle school students after school on Scratch, MATLAB, LEGO, etc.


Yanni Sun

Yanni Sun is an assistant professor in the Department of Computer Science and Engineering. She earned her Ph.D. in computer science from Washington University in St. Louis. Sun's research interests are bioinformatics, computational biology, and developing algorithms and software to solve problems motivated by molecular biology. Her recent focus is efficient algorithms for discovering protein and noncoding RNA signals hidden in large-scale databases.


Arjun Tekalur

Experimental Mechanics, particularly at high strain rates and loading rates, serves as a fundamental driving motivation for research at Tekalur Lab. Currently we are focussing on following three topics.

1.) Dynamic behavior of biomimetic materials

2.) Dynamic Failure of biological materials (special attention to bone)

Collaborators
- Dr. Melissa Baumann, Materials Science and Engineering
- Dr. Laura McCabe, Department of Physiology and Radiology

3.) Impact performance of structural composite connections (Adhesive and Bolted)


Yiying Tong

Yiying Tong is an Assistant Professor in the Department of Computer Science and Engineering. Prior to joining MSU, he worked as a postdoctoral scholar at Caltech. He received his Ph.D. degree from University of Southern California in 2004. His research focuses on discrete geometric modeling, physically-based simulation/animation, and discrete differential geometry. His research interests also include the applications of differential geometry in face recognition, molecular surface computation, medical imaging, and other related areas.


Satish Udpa

Former Dean of Engineering, Satish Udpa's research interests span the broad area of materials characterization and nondestructive evaluation (NDE). Work done by him to date in the area includes an extensive repertoire of forward models for simulating physical processes underlying several inspection techniques. Coupled with careful experimental work, such forward models can be used for designing new sensors, optimizing test conditions, estimating the probability of detection, assessing designs for inspectability and training inverse models for characterizing defects.


Lalita Udpa

Her research interests include various aspects of NDE, such as development of computational models for the forward problem in NDE, signal and image processing, pattern recognition and neural networks, and development of solution techniques for inverse problems. Her current projects include finite-element modeling of electromagnetic NDE methods applied to aircraft geometries, application of neural network and signal processing algorithms to NDE data, and development of image processing techniques for automated analysis of NDE and biomedical images.


S. Patrick Walton

Biomolecular engineering, thermodynamic and kinetic design of biomolecules, nucleic acid biotechnology, genomics and proteomics, RNA interference, nanobiotechnology, polymeric nanoparticles.


Juyang Weng

Juyang (John) Weng is a professor of the Department of Computer Science and Engineering at Michigan State University, a member of the MSU Cognitive Science Program and a member of the MSU Neuroscience Program . His research interests lie in the intersection of the general fields of computer science and engineering, brain science, and cognitive science. He is a co-founder of the Embodied Intelligence Laboratory. Weng is the author or coauthor of over two hundred research articles and book chapters.


Tim Whitehead

We are a young lab that designs and engineers functional proteins. We are focused on the development of computational and experimental tools as well astwo major areas for the application of these methods: (1) the microbial-mediated conversion of biomass to fuels and chemicals that more closely approximate petroleum-derived feedstocks; and (2) development of antibody and antibody-like molecules for use as protein therapeutics against viral pathogens.


Robert Worden

Nanotechnology, nanostructured biomimetic interfaces; biochemical engineering; protein expression; fermentation engineering; multiphase biocatalysis; biobased products.


Neil Wright

Heat transfer; thermophysical property measurement; parameter estimation; thermal biology


Irene Xagoraraki

My research program is focused on water quality engineering, emphasizing protection of public    health and prevention of waterborne disease. In particular, I am interested in emerging water contaminants (such as viruses) and their detection, occurrence, fate, removal, inactivation, and risk.