McCormick School of Engineering and Applied Sciences
Professors | Research Professors | Associate Professors | Assistant Professors
| Research Assistant Professors |
Professors -
Alok N. Choudhary (EECS) - high-performance computing and communication systems; data mining and scientific computing
Gordon B. Hazen (IEMS) - decision and risk analysis in Medical Decision Models: value of information, Markov models/stochastic trees, and utility and preference theory
Ming-Yang Kao (EECS) - current interests include the design, analysis, and implementation of algorithms pertaining to computational biology and computational finance
William L. Kath (ESAM) - experimental and computational study of microcircuits composed of principal neurons and interneurons in the CA1 region of the hippocampus, including computational models for patch-clamp experiments measuring ionic conductances, calcium imaging, and fell-cell morphological reconstructions
Aggelos Katsaggelos (EECS) - image and video recovery, video compression, motion estimation, boundary encoding, computational vision, and multimedia signal processing and communications
Sanjay Mehrotra (IEMS) - optimization methods and applications, linear and nonlinear integer programming, stochastic programming, large scale optimization, optimization applications in finance and biological science
Barry L. Nelson (IEMS) - design and analysis of computer simulation experiments; issues of statistical efficiency, multivariate output analysis, mutivariate input modeling, and metamodeling - his application areas include computer performance modeling, quality control, manufacturing systems, and transportation systems
Research Professors -
Joseph R. Moskal (BME) - the use of innovative molecular biology techniques to identify and evaluate genes responsible for neurological disorders such as brain tumors, learning and memory disorders, depression and epilepsy; drug development
Associate Professors -
David L. Chopp (ESAM) - numerical methods, scientific computations, motion of interfaces
Lonnie D. Shea (CBE) - 3D approaches for in vitro ovarian follicle maturation, DNA/protein releasing scaffolds for tissue regeneration, substrate-mediated DNA delivery for enhanced gene transfer
Assistant Professors -
Alexander A. Golovin (ESAM) - mathematical modeling of cryopreservation of biological cells; mathematical modeling of controlled drug delivery
Mark C. Hersam (MSE) - development of scanning probe microscopy (SPM) techniques that enable sensing, characterization, and actuation at the single molecule level enabling the isolation of individual organic, biological, and inorganic molecules on semiconductor surfaces; nanoscale gene chips
Gokhan Memik (EECS) - embedded systems, high performance architectures, code optimizations for networking applications, design of application-specific programmable processors, performance evaluation of embedded systems
Hai Zhou (EECS) - hardware design, which includes design methodology, specification, design tools, and design correctness; VLSI (Very Large Scale Integration) design automation, algorithm design, and formal methods
Research Assistant Professors -
Roger A. Kroes (BME) - the use of innovative molecular biology techniques to identify and evaluate genes responsible for neurological disorders such as brain tumors, learning and memory disorders, depression and epilepsy; drug development
Sotirios Tsaftsaris (EECS) - Signal processing has become an integral part of our everyday life. It is present in everyday appliances and has even found application in biology (for example, genomic signal processing). On the other hand, biologically inspired ideas such as evolutionary optimization and genetic algorithms are routinely applied to an increasing number of signal processing problems.
My research creates another level of hybrid connection and interaction between biology and signal processing. The main difference is that in my research, I use actual biological entities to do signal processing. Specifically, I use DNA molecules to manage large amounts of digital signals. It is interdisciplinary research in that it requires knowledge of signal processing on one hand, and molecular biology and biotechnology on the other.