Christopher H. Contag
John A. Hannah Distinguished Professor, chair and inaugural director of the Institute for Quantitative Health Science and Engineering (Nov. 2016)
Dr. Contag is a pioneer in the field of molecular imaging and is developing imaging approaches aimed at revealing molecular processes in living subjects, including humans, and advancing therapeutic strategies through imaging. His laboratory develops macroscopic and microscopic optical imaging tools and uses imaging to assess tissue responses to stress, reveal immune cell migration patterns, understand stem cell biology and advance biological therapies. He will build on this foundation to expand his research scope at MSU.
EDUCATION: BS, biology, and PhD, microbiology, University of Minnesota
PREVIOUS APPOINTMENT: Professor in the Departments of Pediatrics, Radiology, Bioengineering and Microbiology and Immunology at Stanford University; associate chief of Neonatal and Developmental Medicine; director of Stanford's Center for Innovation in In Vivo Imaging; and co-director of the Molecular Imaging Program.
MEMBERSHIPS:
• American Association for the Advancement of Science (AAAS)
• American Society of Microbiology (ASM)
• American Society for Virology (ASV)
• International Society for Analytical Cytology (ISAC)
• International Society of Bioluminescence and Chemiluminescence (ISBC)
• Society for Molecular Imaging, charter member, past president, and Achievement Award winner
• World Molecular Imaging Society, Fellow and President
PUBLICATIONS: 194 journal articles; 2 books; 68 chapters/reviews
PATENTS: 21
http://msutoday.msu.edu/news/2016/pioneer-in-molecular-imaging-to-lead-new-msu-initiatives
Erin Purcell, Assistant Professor (Aug. 2016)
Erin Purcell's training in neural engineering spans the use of extracellular recordings, intracellular recordings, and optogenetics to control and assess excitability in neurons. She is pursuing new approaches to characterize, modulate, and regenerate neuronal responses at the interface of electrodes implanted in the brain as P.I. of the Regenerative Electrode Interface Lab.
EDUCATION: BS, biomedical engineering, Michigan Technological University; MS and PhD, biomedical engineering, University of Michigan
PREVIOUS APPOINTMENT: Research fellow at University of Michigan Kresge Hearing Research Institute
PUBLICATIONS: 14 journal articles
PATENTS: 1
www.egr.msu.edu/people/profile/epurcell
Alexandra Zevalkink, Assistant Professor (Aug. 2016)
Dr. Zevalkink's research focuses on the relationship between the crystal chemistry of inorganic materials and their ability to transport, convert, and store energy in the forms of heat and electricity. By controlling the chemistry of novel materials, we can tune their thermal and electronic properties to develop improved materials for thermal energy conversion and storage.
EDUCATION: BS, materials science, Michigan Technological University; PhD, materials science, California Institute of Technology
PREVIOUS APPOINTMENT: Postdoctoral researcher at the Max Planck Institute for Chemical Physics of Solids, Dresden, Germany
PUBLICATIONS: 32 journal articles; 1 book chapter
PATENTS: 1
https://alexzevalkink.wordpress.com
Alexei Bazavov, Assistant Professor (Aug. 2016)
Dr. Bazavov is a theoretical particle physicist specializing in study of strongly coupled theories, in particular, Quantum Chromodynamics. His research interests include: quantum field theory; finite-temperature field theory; lattice gauge theory with applications to particle and nuclear physics, parallel algorithms, iterative solvers, and molecular dynamics algorithms; inverse problems and Bayesian inference; ultra-cold atomic systems and quantum simulation; and effective field theory.
EDUCATION: BS, theoretical physics, Kiev State University, Kiev, Ukraine; MS & PhD, physics, Florida State University
PREVIOUS APPOINTMENT: Research associate, jointly appointed at the University of California, Riverside and University of Iowa
PUBLICATIONS: 64 journal articles; 4,000+ citations (2 TOPCITE 500+)
https://cmse.msu.edu/directory/faculty/alexei-bazavov
Arjun Krishnan, Assistant Professor (Jan. 2017)
Dr. Krishnan will work on developing computational approaches to study the genetic basis of biomedical phenomena relevant to human health and disease. He is primarily interested in bridging the gap between large-scale genomic/clinical data and actionable biological insights using statistical and machine learning approaches.
EDUCATION: B.Tech., industrial biotechnology, Anna University, Chennai, India; PhD, benetics bioinformatics, and computational biology, Virginia Technological University
PREVIOUS APPOINTMENT: postdoctoral researcher, Lewis-Sigler Institute for Integrative Genomics at Princeton University
PUBLICATIONS: 22 journal articles; 1000+ citations, i10-index 12
https://cmse.msu.edu/directory/faculty/arjun-krishnan
Huey-Wen Lin, Assistant Professor (Aug. 2016)
Dr. Lin developed the breakthrough work directly calculating the Bjorken-x dependence of the parton distribution functions on the lattice. Her research focuses on using high-performance supercomputers to nonperturbatively calculate physical quantities at the quark and gluon level (using quantum chromodynamics or QCD). Using lattice QCD, she is investigating particle properties that will help discern the difference between new physics and the Standard Model in searches at the Large Hadron Collider (LHC) and beyond.
EDUCATION: BA, physics, National Taiwan University; PhD, physics, Columbia University, New York
PREVIOUS APPOINTMENT: Visiting Assistant Professor, University of California, Berkeley
PUBLICATIONS: 140+; 2 book chapters; 3900+ citations, i10-index 53
https://cmse.msu.edu/directory/faculty/huey-wen-lin
Ekatrina Merkurjev, Assistant Professor (Aug. 2016)
Dr. Merkurjev's research focuses on optimization for classication (clustering) using a graphical framework. The goal is to partition data sets efficiently and accurately into a predetermined number of clusters, with or without some prior knowledge of the classication of a small percentage of the nodes. Classication is essential to machine learning; it occurs in numerous applications, including medical and genomics data, spam detection, face recognition, financial predictions, and increasingly in text mining studies.
EDUCATION: BS/MS (joint program) & PhD, applied mathematics, University of California, Los Angeles
PREVIOUS APPOINTMENT: UC President's Postdoctoral Fellow, University of California, San Diego
PUBLICATIONS: 11 journal articles
https://cmse.msu.edu/directory/faculty/ekaterina-mekrurjev
Michael S. Murillo, Professor (Aug. 2016)
Dr. Murillo's research focus is in theoretical plasma physics, with an emphasis on non-ideal plasmas. He has examined a range of non-ideal plasmas from ultra-cold plasmas, dusty plasmas, to dense plasmas, employing a variety of techniques, including mathematical and simulation methods. His most recent research is in the area of epidemiology and viral kinetics modeling, with focus on antiviral use in influenza epidemics and pandemics.
EDUCATION: BSEE as an Excel Scholar, University of New Mexico; PhD, physics, Rice University
PREVIOUS APPOINTMENT: theoretical and computational physics; theoretical epidemiology, Los Alamos National Laboratory
ASSOCIATIONS:
Fellow of the American Physical Society (APS)
Outstanding Referee, American Physical Society
PUBLICATIONS: 100+ journal articles; 1900+ citations, i10-index 46
https://cmse.msu.edu/directory/faculty/michael-s-murillo
Jianrong Wang, Assistant Professor (Jan. 2017)
Dr. Wang's interdisciplinary research is in the fields of bioinformatics, machine learning, gene regulation and systems biology, with a focus on developing novel statistical models and machine learning algorithms to infer gene regulatory networks and their association with human disease (e.g. cancer) by integrating heterogeneous large-scale datasets.
EDUCATION: BS, control science and engineering, Tsinghua University, Beijing, China; PhD, bioinformatics, Georgia Institute of Technology
PREVIOUS APPOINTMENT: Postdoctoral Research Associate, MIT EECS Department, Computer Science and Artificial Intelligence Laboratory (CSAIL), Broad Institute of MIT and Harvard
PUBLICATIONS: 14 journal articles
SOFTWARE: 5
https://cmse.msu.edu/directory/faculty/jianrong-wang
Wolfgang Banzhaf, John R. Koza Endowed Chair in Genetic Programming (Aug. 2016)
Dr. Banzhaf's research interests are in the field of bio-inspired computing, notably evolutionary computation and complex adaptive systems. Studies of self-organization and the field of Artificial Life are also of very much interest to him. Recently he has become more involved with network research as it applies to natural and man-made systems.
EDUCATION: MS, physics, Ludwig-Maximilians Universität München; PhD, physics, Karlsruhe Institute of Technology (KIT)
PREVIOUS APPOINTMENT: University Research Professor, Memorial University of Newfoundland; Senior Fellow, International Society for Genetic and Evolutionary Computation ISGEC; Co-founder, European Conference series on Genetic Programming
PUBLICATIONS: 67 journal articles; 3 books; 29 book chapters; 9 editor; founder of scholarly publication “Genetic Programming and Evolvable Machines”
AWARDS:
• Named “University Research Professor” at Memorial University of Newfoundland
• EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe
http://www.cse.msu.edu/~banzhafw/
Vishnu Boddeti, Assistant Professor (Aug. 2016)
Dr. Boddeti's research interests are at the intersection of computer vision, signal processing and machine learning, as well as optimization methods and biometrics.
EDUCATION: B.Tech., electrical engineering, Indian Institute of Technology Madras; MS & PhD, electrical and computer engineering, Carnegie Mellon University
PREVIOUS APPOINTMENT: Postdoctoral Fellow at the Robotics Institute at Carnegie Mellon University
PUBLICATIONS: 7 journal articles; 3 book chapters
http://vishnu.boddeti.net/index.html
Hu Ding, Assistant Professor (Jan. 2016)
Dr. Ding's research involves designing efficient algorithms for machine learning and pattern recognition, especially on large-scale, high dimensional, and noisy datasets. He emphasizes both theoretical development and applications in the fields of machine learning, data mining, computer vision, biomedical image analysis, and wireless sensor networks.
EDUCATION: BS, mathematics, Sun Yat-Sen University, Guangzhou, China; PhD, computer science, State University of New York at Buffalo
PREVIOUS APPOINTMENT: Postdoctoral researcher, Simons Institute for the Theory of Computing at UC-Berkeley (joint with Tsinghua University)
PUBLICATIONS: 18 journal articles; 1 cover article
http://www.cse.msu.edu/~huding/
Jilian Tang, Assistant Professor (Aug. 2016)
Dr. Tang's research interests include social network analysis, social computing, computational social science, data mining, and machine learning. His focus is in data mining of social media, large-scale signed network analysis, web-scale textual analytics, deep learning in social network analysis; feature selection; contextual recommendation; and privacy and security in social media.
EDUCATION: B.Eng., software engineering & MS, computer science (graduating first in class for both), Beijing Institute of Technology, Beijing, China; PhD, computer science, Arizona State University, Tempe
PREVIOUS APPOINTMENT: Research scientist, Yahoo Labs, Yahoo!
PUBLICATIONS: 12 journal articles; 1 book
PATENTS: 2
http://www.cse.msu.edu/~tangjili/
Guan-Hua (Scott) Tu, Assistant Professor (Aug. 2016)
Dr. Tu leads the Network System and Security (NSS) lab, conducting research in the areas of security, networking, and mobile systems. His research focuses on the security, privacy, performance optimization, energy saving topics in mobile devices (Android/iOS), mobile networks (3G/4G/5G), SDR (Software-defined radio), and the IOT (Internet of Things).
EDUCATION: BS, computer science, National Central University; MS, computer science, National Taiwan University; PhD, computer science, University of California, Los Angeles
PREVIOUS APPOINTMENT: doctoral student, Department of Computer Science, UCLA; Senior Software Engineer, MediaTek
PUBLICATIONS: 11 journal articles; 2 book chapters
PATENTS: 5
http://www.cse.msu.edu/~ghtu/
Yiming Deng, Associate Professor (Aug. 2016)
Dr. Deng has more than 13 years experience developing sensors and instrumentation, innovative numerical modeling for nondestructive evaluation (NDE) and structural health monitoring. His current research focuses on high-resolution and multi-wave NDE sensing and imaging systems that involve development of novel nonintrusive sensors, high fidelity multi-physics modeling for understanding NDE imaging physics, and experimental validation with sensor prototyping for critical energy and transportation infrastructures.
EDUCATION: BE, electrical engineering, Tsinghua University, Beijing, China; MS, astronomy, Beijing Normal University, China; PhD, electrical engineering, Michigan State University
PREVIOUS APPOINTMENT: Associate Professor, University of Colorado, Denver and Anschutz Medical Campus
PUBLICATIONS: 33 journal articles; 2 book chapters
http://www.egr.msu.edu/deng
Qi Hua Fan, Assistant Professor (Aug. 2016)
Dr. Fan's research focus includes photovoltaic materials and devices, such as thin-film solar cells; advanced plasma sources and plasma-material interactions; supercapacitors, optical thin films, functional coatings, electronic materials and semiconductor devices
EDUCATION: BS, electronic materials and components, and MS, magnetic materials and devices, University of Electronic Science and Technology of China; PhD, applied physics, University of Aveiro, Aveiro, Portugal
PREVIOUS APPOINTMENT: Associate Professor, Electrical Engineering and Computer Science Department, South Dakota State University
PATENTS: 1
http://www.egr.msu.edu/people/profile/qfan
Jeffrey Nanzer, Dennis P. Nyquist Assistant Professor (Aug. 2016)
Dr. Nanzer's research interests are in the areas of coherent distributed RF systems, microwave and millimeter-wave remote sensing, antennas and arrays, millimeter-wave photonics, radiometry, and electromagnetics.
EDUCATION: BS, electrical engineering & computer science, Michigan State University; MS & PhD, electrical engineering, University of Texas at Austin
PREVIOUS APPOINTMENT: Johns Hopkins University Applied Physics Laboratory where he created and led the Advanced Microwave and Millimeter-Wave Technology Section
MEMBERSHIPS:
• Founding member and first treasurer, IEEE AP-S/MTT Central Texas Chapter
• USNC/URSI Commission B
PUBLICATIONS: 50+ journal articles; 1 book; 1 book chapter co-author
http://www.jeffreynanzer.org
Ioannis “John” Papapolymerou, MSU Foundation Professor and chair (Jan. 2016)
Dr. Papapolymerou's research interests are in the areas of RF/microwave/mm-wave/THz circuits, antennas and packaging for wireless communication systems, sensors and radars. His current projects include the utilization of additive manufacturing techniques for three-dimensional RF circuits and modules, the development of cost effective packaged RF modules for high power applications, as well as the development of thin nanomagnetic materials for high frequency applications.
EDUCATION: BS, electrical engineering, National Technical University of Athens, Greece; and an MS & PhD, electrical engineering, University of Michigan, Ann Arbor
PREVIOUS APPOINTMENT: Ken Byers Professor in the School of Electrical and Computer Engineering and associate director of the Georgia Electronic Design Center, Georgia Technological University
FELLOWSHIPS: IEEE
PUBLICATIONS: 350+ journal articles; 5000+ citations; 4 book chapters
PATENTS: 5
AWARDS:
• NSF CAREER award
• IEEE AP-S John Kraus Antenna Award
• IEEE MTT-S Outstanding Young Engineer Award
http://www.egr.msu.edu/people/profile/jpapapol
Vaibhav Srivastava, Assistant Professor (Aug. 2016)
Dr. Srivastava's research interests are in the modeling, analysis, and design of complex systems. His focus includes: analysis and design of mixed human-automata teams; information-theoretic search and surveillance in robotic and mobile sensor networks; network systems with focus on socio-cognitive networks and distributed optimization; and mathematical neuroscience with focus on human decision-making and insect locomotion.
EDUCATION: BTech, mechanical engineering, Indian Institute of Technology, Bombay; MA, statistics, and MS & PhD mechanical engineering, University of California, Santa Barbara
PREVIOUS APPOINTMENT: Associate Research Scholar, Princeton University
PUBLICATIONS: 69 journal articles; 1 cover article
PATENTS: 2
http://www.egr.msu.edu/~vaibhav
Ahmet Cagri Ulusoy, Assistant Professor (Apr. 2016)
Dr. Ulusoy's research interests are in the broad area of high-frequency integrated circuits and systems. His main areas of specialization are BiCMOS frontend electronics for millimeter-wave systems, optoelectronic ICs for emerging Ethernet standards, as well as high-power amplifiers in SiGe and GaN technologies.
EDUCATION: BS, Istanbul Technical University, Istanbul, Turkey; MS & PhD, University of Ulm, Ulm, Germany
PREVIOUS APPOINTMENT: IHP - Innovations for High Performance Microelectronics, Frankfurt, Germany
PUBLICATIONS: 20 journal articles
AWARDS: Südwestmetall-Förderpreis, “Young Scientist Award”
http://www.egr.msu.edu/people/profile/ulusoy
Sangmin Yoo, Assistant Professor (Mar. 2016)
Dr. Yoo's research interest is in RF and analog/mixed-signal circuits and systems - including high-efficiency transmitter architecture, software defined radio, RF power amplifier, and data converter for various applications such as communication, biomedical, wearable or implantable devices, energy harvesting, and automotive systems.
EDUCATION: BS & MS, electrical engineering, Sogang University, Seoul, Korea; PhD, electrical engineering, University of Washington, Seattle
PREVIOUS APPOINTMENT: staff engineer, Qualcomm
PUBLICATIONS: 5 journal articles: 1 book chapter
PATENTS: 1
http://www.egr.msu.edu/people/profile/syoo
Peng Zhang, Assistant Professor (Aug. 2016)
Dr. Zhang's research interests are in theory and modeling of nano-electronics, electromagnetic fields and waves, plasmas, and accelerator technology. He has worked on electrical contacts, thin films, classical, ballistic, and quantum diodes, space-charge-limited current flows, beam-circuit interaction, microwave absorption on rough surfaces, multipactor and breakdown, slow wave structures, z-pinches, laser-plasma interaction, and more recently on vacuum nano-devices, quantum tunneling plasmonic junctions, ultrafast photoemission, and novel miniaturized light sources.
EDUCATION: B.Eng, electrical and electronic engineering & M.Eng, microelectronics, Nanyang Technological University, Singapore; MS & PhD, nuclear engineering and radiological sciences, University of Michigan
PREVIOUS APPOINTMENT: Assistant Research Scientist, Department of Nuclear Engineering and Radiological Sciences, University of Michigan
AWARDS: Phi Kappa Phi Honor Society
PUBLICATIONS: 35 journal articles
http://www.egr.msu.edu/~pz
Ricardo Mejia-Alvarez, Assistant Professor (Aug. 2016)
Dr. Mejia-Alvarez has a strong research background in of turbulent flows, hydrodynamic instabilities, and compressible flows. In particular, I have explored the fundamental science behind topics relevant to energy systems, aeronautic and hydrodynamic vehicles, geophysical flows, inertial confinement fusion, and astrophysics. His current research is in the fields of turbulent mixing in binary flows with large viscosity ratios, Rayleigh-Taylor instabilities driven by surface and/or volumetric energy deposition, and blast-induced traumatic brain injury.
EDUCATION: BS (summa cum laude), mechanical engineering (summa cum laude), Universidad Nacional de Colombia; MS, thermal engineering, Universidad de Antioquia, Colombia; MS & PhD, theoretical and applied mechanics, University of Illinois at Urbana-Champaign
PREVIOUS APPOINTMENT: Los Alamos National Laboratory
PUBLICATIONS: 59 journal articles
AWARDS:
• James O. Smith Memorial Award and Outstanding Young Alumni Award, University of Illinois Dept. of Mechanical Sciences & Engineering
• Francois Frenkiel Award for Fluid Mechanics, Division of Fluid Dynamics of the American Physical Society
https://www.egr.msu.edu/people/profile/rimejal
Yang Guo, Assistant Professor (Aug. 2016)
Dr. Guo's research interests are in manufacturing, materials processing, experimental mechanics, process control and optimization. Current research activities are (1) in situ full-field measurement of chip plastic flow in machining using high-speed imaging and digital image correlation technique, (2) novel machining processes including modulation assisted machining and constrained machining, and (3) force-based adaptive control and optimization of machining processes.
EDUCATION: BE, mechanical engineering & MS, industrial engineering, Tsinghua University, Beijing; MS, production engineering, RWTH Aachen University, Germany; PhD, industrial engineering, Purdue University
PREVIOUS APPOINTMENT: R&D engineer at M4 Sciences LLC, West Lafayette, Indiana
PUBLICATIONS: 25 journal articles
https://www.egr.msu.edu/people/profile/yguo
