David Gillcrist

David is a PhD student who started in Fall 2020, jointly advised with Mazdak Tootkaboni from Civil Engineering

Matthew Cormier

Jointly advised with Sigal Gottlieb , Matt is a PhD student who started in Fall 2019. In Summer 2019, he started studying the mathematics for Neural Networks, in particular its utilities in time marching schemes.

Haolan Zheng

Haolan a PhD student who started in Fall 2023.

Shijin Hou

Shijin is a Doctoral student at the University of Science and Technology of China jointly advised with Yinhua Xia

Yajie Ji

Yajie is a Doctoral student at the Shanghai Jiaotong University jointly advised with Zhenli Xu

Shawn Koohy

Supported by an NSF grant, Shawn was a sophomore when he started exploring neural networks in Spring 2022.

Rebecca Pereira

Rebecca is a PhD student starting in Fall 2017. In Summer 2017, she worked on fast algorithms for geometric engineering design under uncertainty, jointly with Mazdak Tootkaboni from Civil Engineering. In Summer 2018, she started a project on (Hybridizable) discontinuous Galerkin method, jointly with Bo Dong from Mathematics.

Upon graduation in Spring 2023, Rebecca started working at a federal agency

Richard Bellizzi

With Alfa Heryudono being the main advisor, Richard is a part-time PhD student and an employee at Nye Lubricants.

Richard is currently working on building mathematical models and implementing machine learning algorithms for lubricant manufacturing.

Upon graduation in Spring 2023, Richard has been continuing his career in the lubricant industry.

Lijie Ji

Lijie was a Doctoral student at the Shanghai Jiaotong University jointly advised with Zhenli Xu . She has been working on reduced basis method and reduced over collocation method since early 2018, and visited the CHEN lab from September 2019 to September 2020.

Upon graduation in 2021, Lijie worked as a Wu Wen-Tsun Assistant Professor at the Shanghai Jiaotong University

Jiahua Jiang

Co-advised with Akil Narayan and working also under the guidance of Bo Dong , Jiahua focused on uncertainty quantification, and model order reduction. She started her doctoral study in Fall 2013, and graduated in Summer 2018.

Jiahua's research has been supported by a fellowship from the Center for Scientific Computing and Visualization Research at UMassD, an NSF grant, and a UMassD Multi-disciplinary seed fund (MSF).

Jiahua worked as a PostDoc at Virginia Tech University upon graduation in 2018, and is now an assistant professor at the University of Birmingham.

Christopher Bresten

Co-advised with Sigal Gottlieb and graduated in 2017, Chris was a PhD student working on model order reduction for nonlinear and nonaffine problems. He started this project in Fall 2012.

Chris's research has been supported in part by an NSF grant.

Chris is currently a PostDoc in Korea.

Chase Parenteau

Chase is a honors student admitted to the university in 2018. He worked on mathematical models and machine learning algorithms for sports analytics in Spring 2019 and beyond.

Jonathan Curtis

Jonathan is analyzing and implementing GPU-accelerated Reduced Basis Method. He started in Summer 2017.

Jonathan's research has been supported by the department of mathematics, UMassD.

Ian Camerlin

Ian is implementing GPU algorithms. He started in Summer 2014.

Ian's research has been supported by an NSF grant. Ian graduated in 2016 and took a job in industry.

Peter Takahashi

Peter started in Summer 2014 working on reduced basis type of model reduction techniques for data science.

Peter's research was partially supported by the President's S&T grant. Peter chose to pursue his interests in computer science starting from Fall 2015. He graduated in 2017 and is a graduate student at Yale University.

Jacob Sousa

Advised by and working with Alfa Heryudono before Spring 2014, Jacob worked with me on modeling and its reduction for a computational biology project in Spring 2014.He is now an EAS PhD student at the University of Massachusetts Dartmouth.

Jacob's research was supported by the UMassD Multi-disciplinary seed funding (MSF) program.

Andrew Davey

Andrew mainly focused on implementing successive constraint methods in the collocation framework and devising appropriate variants. He started in Summer 2012 and left in Summer 2014 being awarded a Ben L. Fryrear Fellowship in Computational Science to pursue his PhD degree at the Colorado School of Mines.

Andrew's research was mainly supported by an NSF grant and also by UMassD's Multidisciplinary Seed Funding (MSF) program.

See below for a brief OUR (Office of Undergraduate Research) interview of Andrew talking about his experience at UMassD.

Rushendra Kumar

Rushendra was a summer intern in 2012 coming from Indian Institute of Technology, Bhubaneswar. He is now at Springforth Capital Advisors in the Bhubaneshwar Area of India.