Faculty
Program Steering Committee
Dr. Zheng (Leslie) Chen
Dr. Alfa Heryudono
Dr. Amir Akhavan Masoumi
Dr. Ashok Patel
Dr. Yuchou Chang
Dr. Vijay Varma
Dr. Haiping Xu
Dr. Donghui Yan
Faculty
Faculty in the interdisciplinary Data Science program represent a variety of academic fields and research interests.
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Assistant Teaching Professor
Computer & Information Science
Dion 324D
508-910-6895
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Research
Research interests
- Complex Systems
- Cognitive Science
- Cryptography
- Chaos Theory
- Data Science
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Research
Research interests
- Radial basis function methods
- Spectral and pseudospectral methods
- Tear film dynamics
- Numerical conformal mapping
- Mathematical problems in industry
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Associate Teaching Professor
Computer & Information Science
Dion 302B
508-999-9184
ashok.patel@umassd.edu
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Research
Research interests
- Numerical analysis and scientific computing
- Finite element methods, discontinuous Galerkin methods
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Research
Research interests
- Numerical analysis
- Numerical PDEs
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Research
Research interests
- Statistics
- Machine learning
- Data mining
- Data science
- High dimensional statistical inference
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Associate Professor
Computer & Information Science
Dion 307A
508-999-8265
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Research
Research interests
- Bioinformatics
- Citizen Science
- Computational Biology
- Distributed Computing
- Protein Structure Determination/Prediction & Design
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Research
Research interests
- Memory systems
- DEs
- Time series
- Mathematics education
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Professor
Computer & Information Science
Violette Research 220B
508-910-6411
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Research
Research interests
- Machine learning/ statistical learning/ pattern recognition
- Computational statistics
- Behavioral trajectory pattern recognition in longitudinal studies
- Wireless health
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Professor / Chairperson
Computer & Information Science
Dion 302G
508-910-6427
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Research
Research interests
- Electronic Commerce, Internet Security, Web Services
- Formal Methods, Model-Based Software Development
- Mobile Agent Systems, Wireless Sensor Networks
- Multi-Agent Systems (MAS), Intelligent Agents
- Peer-to-Peer (P2P) Computing, Ubiquitous Computing
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Research
Research interests
- Artificial intelligence
- Brain modeling
- Data mining
- Expert Systems
- Image processing
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Provost / Vice Chancellor for Academic Affairs
Academic Affairs / Provost
Foster Administration 315
508-999-8069
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Research
Research interests
- Artificial Intelligence
- Autonomous Mobile Robotics
- Human-Computer Interaction
- Motion Detection and Tracking
- Pattern Recognition
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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
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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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Research
Research interests
- Computational algebra
- Edge detection
- Topological Data Analysis (TDA)
- Inverse problems
- Mathematics education
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Research
Research interests
- Gravitational waves
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Assistant 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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Chief Research Officer
Office of Research & Innovation
Foster Administration 008B
508-999-8827
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Research
Research interests
- Numerical Analysis, scientific computing, computational partial differential equations
- Dimension reduction, model order reduction, reduced order modeling
- Uncertainty quantification, fractional-order partial differential equations
- Data mining, machine learning, image processing, neural networks
- high performance computing
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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