Mentoring
Current PhD students (Official academic advisor)
Ayca Aygun, Human Robot Interaction (HRI) co-advised with Matthias Scheutz (CS), 2021 -
Boyang Lyu, Tufts ECE, 2018 - 2023 (anticipated graduation)
Brendan Mallery, Tufts Math, co-advisor: James Murphy (Tufts Math), 2022 -
Matthew Werenski, Tufts CS, co-advisor: James Murphy (Tufts Math), 2021 - 2024 (anticipated graduation)
Ruijie Jiang, Tufts ECE, Affliation with Tufts IRLI, DISC, 2019 - 2024 (anticipated graduation)
Shoaib Bin Masud, Tufts ECE, Tufts CABCS, 2018 - 2023 (anticipated graduation)
Other PhD students (Un-Official academic advisor)
Zeviel Imani, Taritree Wongjirad (Tufts Physics), 2021 -
Camila Pazos, Taritree Wongjirad, Hugo Beauchemin (Tufts Physics), 2022 -
Current MS students
Nisitaa Pradeep, MS/DS, Single-cell Omics, Fall 2022, jointly advised with Albert Tai (DISC) and Carol Kumamoto (School of Biomedical Sciences)
Alumni
(2022) Kevin Cheng, PhD, co-advised with Eric Miller (ECE), "Analysis of Probabilistic Time-Series That Transition Among Discrete States With Applications of the Wasserstein Distance", Currently at Takeda.
(2017) Zemin Zhang, PhD, "A Novel Algebraic Framework for Processing Multidimensional Data: Theory and Application", Currently at Google.
(2018) Bo Fan, PhD, "Exploiting Correlation Structures for Geosciences", Currenly at Motorola.
(2018) Wenqi Wang, PhD, Purdue University, Co-advised with Vaneet Aggarwal, "Multi-dimensional data analytics and deep learning via tensor networks", Currently at Facebook.
(2013) Gregory Ely, ECE, MS with thesis, "Reduced Complexity Regularization of Geophysical Inverse Problems". Winner of 2012 NSF GRFP fellowship
(2017) Eric Bailey, CS/Math, MS with thesis, "Capturing and evaluating higher order relations in word embeddings using tensor factorization". Currently at Google.
(2018) Charles Colley, Math/CS, MS with thesis,"Algebraic Multigrid for Least Squares Problems on Graphs".
(2019) Ce Zheng, ECE, MS with thesis, "Reliable Biometric Estimation from Colorimetric Data".
(2020) Ashish Neupane, ECE, MS project - "Fast Scanning Strategies for Chemical Species Identification, Supported from Pendar technologies".
(2022) Ahmed Abbasi, ECE, MS project - "Unlabeled sensing and unlabeled distance geometry problems: models, theory, and algorithms". Jointly advised with Abiy Tassisa (Tufts Math).
(2022) Max Mattessich, Math, MS with Thesis, "A Review of Multi-Block Dimensionality Reduction Via Multiple Co-Inertia Analysis".
Post doctoral mentoring
(2021 - 2023) Dr. Thuan Nguyen, co-advised with Matthias Scheutz (CS) and Prakash Ishwar (BU, ECE)
(2021 - 2023) Dr. Mike Wojonowiscz, co-advised with Eric Miller (Tufts ECE) and Mike Hughes (Tufts, CS)
(2019-2020) Dr. James Webber, co-advised with Tufts CABCS and Eric Miller
(2023-) Dr. Farjana Sultana Mim, NLP for Learning Sciences, Affiliations: TIAI, IRLI, ECE.
UG research mentoring
Joshua Huang, Srpring 2023, Tufts DISC Intern
Ansgar Jordan, Summer 2022, Tufts DISC Intern
Nikita Saxena, Summer 2021, Tufts Neutrino Group, IAIFI UG summer intern
NSF REU fellows: Josh Pothier (2015-16), Nathan Majumdar (2016), Josh Girson (2017), Kavvya Chaparala (2020), Kevin Gao (2021), Brendan Amorin (2021).
UG thesis advised
Eric Kernfeld (2014-15, Math/CS), Senior Honors thesis, "Multilinear subspace clustering".
Anuththari Gamaghe (2018, ECE), Senior thesis, "Randomized shortest paths for graph embeddings".
Duc Nguyen (2019, ECE/CS), Senior Honors thesis, "Particle based algorithms for Bayesian neural networks".
Kai Stewart (2020, Physics), Senior Honors thesis, A Deep "Neural Network Approach to Generating Liquid-Argon Time Projection Chamber Images".
Paul Lutkus (2021, Physics), Senior thesis, "Generating Images of Neutrino Interactions in Liquid Argon Time Projection Chambers using Neural Networks".
Kathleen Lazar (2022, CE), Senior thesis, "Machine learning for antimicrobial peptide classification".