Faculty

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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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Ronald 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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David 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.
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Derek Mess

thermal barrier coating (TBC), solid oxide fuel cell (SOFC) ceramics, carbon dioxide acceptors
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Dave Miller

Human-technology collaboration, cooperation, and conflict; moral decision-making; mental models
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Eric Miller

Signal and image processing, tomographic image formation and object characterization, inverse problems, regularization, statistical signal and imaging processing, and computational physical modeling. Applications explored include medical imaging and image analysis, environmental monitoring and remediation, landmine and unexploded ordnance remediation, and automatic target detection and classification.
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Lee Minardi

geometric modeling of manufactured products and constructed systems, spatial visualization, the use of technology in teaching mechanics, computer-aided design, and the use of computer tools for engineering problem solving
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Babak Moaveni

Probabilistic system identification of structures, signal processing, Bayesian inference, model updating, structural dynamics, earthquake engineering, uncertainty quantification, verification and validation of computational models.
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Aseema Mohanty

nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/
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James Murphy

Machine learning, harmonic analysis, statistical learning, graph theory, data science, computational mathematics, image processing, signal processing
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Nikhil Nair

synthetic biology, systems bioengineering, protein engineering, metabolic engineering, biofuels, biocatalysis
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James Nash

Computer Science, Software Engineering, Systems Engineering, Statistics, Data Science, Artificial Intelligence, Project Management
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Gili Naveh

Structure and function of the periodontal ligament Bone biology Tooth movement Extracellular matrix Biomechanics 3D Imaging MicroCT Raman