School of Engineering
Department of Chemical and Biological Engineering

Faculty

Faculty

Department Faculty

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Emmanuel (Manolis) Tzanakakis

Professor and Chair of Chemical and Biological Engineering
stem cell and tissue engineering, optogenetics, diabetes
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Ayse Asatekin

Associate Professor and Steve and Kristen Remondi Fellow
membranes, polymer science, material science, separations, surface chemistry
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Prashant Deshlahra

Associate Professor
heterogeneous catalysis, sustainable production of chemicals and fuels, DFT calculations
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Nathaniel Eagan

Assistant Professor
Sustainability, experimental heterogeneous catalysis, clean energy, fuels and chemicals, biomass
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Milo Koretsky

McDonnell Family Bridge Professor in Chemical and Biological Engineering and Education
engineering education research, learning and engagement in the university classroom, development of disciplinary practices, instructional design and technology development, instructional practices, organizational change, social practice theory
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Kyongbum Lee

Dean of Engineering
metabolic engineering, tissue engineering, systems biology
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Graham Leverick

Assistant Professor
electrochemical energy storage and conversion, batteries, electrolytes
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Derek Mess

Professor of the Practice
thermal barrier coating (TBC), solid oxide fuel cell (SOFC) ceramics, carbon dioxide acceptors
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Nik Nair

Associate Professor
synthetic biology, systems bioengineering, protein engineering, metabolic engineering, biofuels, biocatalysis
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Matthew Panzer

Professor and Dean of Research
Ionic liquids, ionogels, eutectogels, polymers, ion transport, electrochemical energy storage
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Daniel Ryder

Associate Professor
process control
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James Van Deventer

Bright Futures Assistant Professor
Synthetic Biology, Chemical Biology, Protein Engineering, Antibody Engineering, Drug Discovery, Genetic Code Expansion, Noncanonical Amino Acids, Tumor Microenvironment.
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Hyunmin Yi

Associate Professor
nanobiofabrication, smart biopolymers, BioMEMS, material science

Secondary Appointments

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Soha Hassoun

Professor
Machine Learning; Systems Biology; Metabolic Engineering, computer-aided design for integrated circuits
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Shelly Peyton

Professor and Chair of Biomedical Engineering
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Sameer Sonkusale

Professor
Bioelectronics, Biomedical microdevices, Wearables, Ingestibles, Biomedical circuits and systems, micro and nano fabrication, lab-on-chip microsystems, global health and precision medicine, CMOS image sensors for scientific imaging, analog to information converters, analog computing, brain inspired machine learning, active metamaterial devices, circuits, and systems, terahertz devices and circuits
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E. Charles Sykes

John Wade Professor
Physical Chemistry, Surface Science, and Nanoscience. The Sykes group utilizes state of the art scanning probes and surface science instrumentation to study technologically important systems. For example, scanning tunneling microscopy enables visualization of geometric and electronic properties of catalytically relevant metal alloy surfaces at the nanoscale. Using temperature programmed reaction studies of well defined model catalyst surfaces structure-property-activity relationships are drawn. Of particular interest is the addition of individual atoms of a reactive metal to a relatively inert host. In this way reactivity can be tuned, and provided the energetic landscapes are understood, novel bifunctional catalytic systems can be designed with unique properties that include low temperature activation and highly selective chemistry. Newly developed curved single crystal surface are also being used to open up previously inaccessible areas of structure sensitive surface chemistry and chiral surface geometries. In a different thrust, the group has developed various molecular motor systems that are enabling us to study many important fundamental aspects of molecular rotation and translation with unprecedented resolution.
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Qiaobing Xu

Professor
biomaterials, drug delivery, micro/nanofabrication, tissue engineering

Emeriti

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Christos Georgakis

Professor Emeritus
Data-Driven Modeling, Optimization, and Control of Batch Processes using Machine Learning algorithms, Model Predictive, Nonlinear and Plant-Wide Control, Statistical Process Monitoring, The Interaction between Process Design and Control, Modeling and Optimization of Pharmaceutical Processes
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Kenneth Van Wormer

Professor Emeritus