Quantum Information Science
The Quantum Research Initiative (QRI) is a new strategic initiative, launched in January 2026, to build foundational expertise in Quantum Information Science (QIS) and Quantum Computing. This multi-year program is designed to strategically position our researchers at the forefront of this technological shift. In phase 1 of QRI, we are focused on leveraging and amplifying the immense intellectual capital we already possess across disciplines—from advanced sensing and materials science to signal processing and computational modeling.
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Research
Research interests
- Numerical analysis and scientific computing
- Finite element methods, discontinuous Galerkin methods
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Assistant Professor
Computer & Information Science
Dion 302D
508-910-6147
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Research
Research interests
- Shared Spectrum Networks
- Intelligent Computer Networks
- Multi-Agent Systems
- Healthcare and IoT Ecosystems
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Associate Professor
SMAST / Fisheries Oceanography
School for Marine Science & Technology East, New Bedford 228
508-910-6363
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Research
Research interests
- Atomic physics
- Molecular physics
- Optical physics
- Computational physics
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Research
Research interests
- My research interests are numerical analysis and scientific computing. Specifically, I am interested in high-order numerical methods for simulation of hyperbolic PDEs with shocks.
- WENO, spectral, and pseudo spectral methods, as well as strong stability preserving time discretizations.
- Reduced basis methods for solving PDEs with many parameters.
- Weighted essentially non-oscillatory methods
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Associate Professor
Computer & Information Science
Dion 317B
508-999-8475
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Research
Research interests
- Artificial Intelligence / Machine Learning / Pattern Recognition
- Biomedical Imaging
- Intelligent Robotics
- Brain-Computer Interface
- Statistical Signal Processing
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Research
Research interests
- Numerical analysis, scientific computing, high performance computing
- Machine learning, image processing, neural networks
- Kinetic problems, multi-scale computational methods
- Numerical methods for problems with singularities
- Uncertainty quantification, fractional-order partial differential equations
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Associate Teaching Professor
Physics
Science & Engineering 203D
508-910-6604
david.kagan@umassd.edu
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Research
Research interests
- Multifunctional composites
- Energy storage materials
- Nanomaterials
- Sensors
- Electrochemistry
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Associate Teaching Professor
Physics
Science & Engineering 203E
508-999-8360
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Research
Research interests
- Quantum Optics
- Quantum Computation
- Atomic and Molecular Physics
- Computational Physics
Research
Research interests
- Multifunctional composites
- Energy storage materials
- Nanomaterials
- Sensors
- Electrochemistry
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Associate Professor
SMAST / Fisheries Oceanography
School for Marine Science & Technology East, New Bedford 218
508-910-6397
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Research
Research interests
- Marine Renewable Energy
- Ocean Modeling
- Shape Optimization and Design
- High Performance Computing
- Coupled Marine Bio-Physical Models
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Associate Professor
Chemistry & Biochemistry
Science & Engineering 311B
508-999-8420
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Research
Research interests
- Quantum Chemistry
- Computational Chemistry and Material Science
- Machine Learning in Chemistry
- Self-Assembly of Materials
- Photochemistry
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Professor / Graduate Program Director
Mechanical Engineering
Textiles 226
508-999-8496
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Research
Research interests
- Interfacial flows
- Multi-phase flows with phase change
- Energy systems (renewable/conventional)
- Computational fluid dynamics and heat transfer
- Scientific and High-Performance Computing
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Associate Professor
Physics
Science & Engineering 204A
508-910-6605
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Research
Research interests
- Gravitational waves
- Black holes
- Neutron stars
- Machine learning
- Computing
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Research
Research interests
- Gravitational wave data science
- Discontinuous Galerkin methods
- Large-scale Scientific Computation
- Computational general relativity and fluid dynamics
- Numerical analysis
At UMass Dartmouth, this is truly an "all-hands-on-deck" effort.
Building a robust quantum ecosystem requires a comprehensive, phased approach to workforce development. The faculty members listed above have united across disciplines to leverage our strong academic foundation—including existing, rigorous coursework such as Quantum Mechanics and Introduction to Quantum Computing. As the demand for quantum-literate professionals grows, this dedicated collective of researchers and educators stands ready to expand our offerings. Our faculty are actively committed to designing new, specialized curricula and targeted credentialing programs to ensure our students are uniquely equipped to lead in the rapidly evolving field of Quantum Information Science.