Faculty

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Carl Kirker-Head

Orthopedics: Bone and cartilage growth and remodeling, repair in response to injury, and grafting. Skeletal tissue engineering. Bone and soft tissue biomechanics. Bone inductive and mitotic proteins. Ligament and tendon physiology and response to injury. Orthopedic device development. Animal models of orthopedic disease. Equine podiatry. Joint disease and interventions. Cardiovascular: Percutaneous treatment of cardiac disease. Animal models of cardiac disease. Interventional cardiology.
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Paul Klein

Marketing advertising, brand management, consumer research, industrial design, communications and exhibit development. Technology Strategy, Product Management, and Supply Chain Operations.
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Magaly Koch

Geology and hydrology of arid lands, coastal environmental change, natural hazards
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Valencia Koomson

design of silicon-based mixed-mode VLSI systems (analog, digital, RF, optical), analog signal processing, and optoelectronic system-on-chip modeling and integration for applications in optical wireless communication and biomedical imaging
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Milo Koretsky

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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Krishna Kumar

Bioorganic Chemistry and Chemical Biology The research interests of the Kumar laboratory are centered on the (1) use of chemistry to design molecules to interrogate and illuminate fundamental mechanisms in biology, or be used as therapeutics; and (2) use of biology to "evolve" and "select" molecules that can perform chemistry in non-biological and medicinal settings. These are some questions we are trying to answer: (i) Is it possible to design and mimic natural proteins and other biological macromolecules by use of building blocks that nature does not use – and whether such constructs can be endowed with properties that are not found in biology?; (ii) How did the first enzymes arise in the imagined Darwin's pond – is there a way to recreate this scenario and in the process develop a fundamentally new method to create enzymes?; (iii) Biology uses phase separation, that is, clustering of different compounds in confined locations – a process that is key in orchestrating the daily activities of a cell – can we find methods that can predictably dictate where molecules are located in a given environment and thereby direct the phenotype that is generated?; (iv) Can we rationally design small molecules and peptides that can function against antibiotic resistant bacteria that are threatening the most basic tenet of modern medicine?
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Sunil Kumar

Performance evaluation and control of manufacturing systems, service operations, and communications networks, Optimization methods and control theory
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Angela Lai

Medical Device Design, Biomedical Engineering, Engineering Education, Thrombosis, Blood-material Interactions
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Yingjie Lao

trusted AI, hardware security, electronic design automation, VLSI architectures for machine learning and emerging cryptographic systems, and AI for healthcare and biomedical applications.
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Ron Lasser

digital image processing, computer animation, swarm robotics, innovation, engineering method & design
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Chunmei Li

biomaterials for hard tissue regeneration, biophysical control of macrophage polarization
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Dave Lillethun

computer science education, distributed systems, operating systems, networked systems, software development, secure systems and networking
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Hannah Lippe

Customer discovery, product management, design strategy, sustainable investing solutions, entrepreneurship.
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Peter Love

Quantum Information, Quantum Simulation, Adiabatic Quantum Computation, Computational Physics Quantum information faces three basic questions. Firstly, what are quantum computers good for? Secondly, how do we build one? Thirdly, what will quantum information contribute if technological obstacles to constructing a large scale quantum computer prove insuperable? The first question is the search for problems which quantum computers can solve more easily than classical computers. The second is an investigation of which physical systems one could use to build a quantum computer. The third leads to the search for spinoffs in classical computation, and the question of where the classical/quantum boundary lies. I am interested in all three questions.
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Elizabeth McCarthy

Strategic facilitation; Influential storytelling; Business planning and consulting; Brand and marketing strategy; Consumer behavior; and Leadership development.
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Saeed Mehraban

Quantum information and computation, Computational complexity, Quantum complexity theory, NISQ devices, Classical algorithms for quantum systems, Quantum inspired algorithms, Hamiltonian complexity, Quantum pseudo-randomness.