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Terrence W.K. Mak
Assistant Professor, Data Science and AI, Monash University
Joined
June 2024
Names
Terrence W.K. Mak
(Preferred)
,
Terrence W. K. Mak
,
Terrence Mak
Emails
****@gatech.edu
(Confirmed)
,
****@monash.edu
(Confirmed)
,
****@isye.gatech.edu
(Confirmed)
,
****@gatech.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Assistant Professor
Data Science and AI ,
Monash University
(monash.edu)
2023
–
Present
Postdoc
Industrial Engineering ,
Georgia Institute of Technology
(gatech.edu)
2018
–
2023
Researcher
Industrial Engineering ,
University of Michigan - Ann Arbor
(umich.edu)
2015
–
2018
PhD student
Research School of Computer Science ,
Australian National University
(anu.edu)
2014
–
2018
PhD student
Computing and Information Systems ,
University of Melbourne
(unimelb.edu.au)
2013
–
2014
Researcher
Computer Science and Engineering ,
The Chinese University of Hong Kong
(cuhk.edu.hk)
2011
–
2013
MS student
Computer Science and Engineering ,
The Chinese University of Hong Kong
(cuhk.edu.hk)
2009
–
2011
Advisors, Relations & Conflicts
Postdoc Advisor
Pascal Van Hentenryck
2018
–
2023
PhD Advisor
Pascal Van Hentenryck
2013
–
2018
Expertise
Smart Grid
,
Power Systems
2013
–
Present
Operations Research
2013
–
Present
Constraint Programming
2009
–
2013
Publications
Compact Optimization Learning for AC Optimal Power Flow
Seonho Park
,
Wenbo Chen
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2023 (modified: 16 Apr 2023)
CoRR 2023
Readers:
Everyone
Learning Regionally Decentralized AC Optimal Power Flows with ADMM
Terrence W. K. Mak
,
Minas Chatzos
,
Mathieu Tanneau
,
Pascal Van Hentenryck
2022 (modified: 16 Apr 2023)
CoRR 2022
Readers:
Everyone
Active Bucketized Learning for ACOPF Optimization Proxies
Michael Klamkin
,
Mathieu Tanneau
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2022 (modified: 16 Apr 2023)
CoRR 2022
Readers:
Everyone
Load Embeddings for Scalable AC-OPF Learning
Terrence W. K. Mak
,
Ferdinando Fioretto
,
Pascal Van Hentenryck
2021 (modified: 28 Jun 2024)
CoRR 2021
Readers:
Everyone
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
Minas Chatzos
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2021 (modified: 16 Apr 2023)
CoRR 2021
Readers:
Everyone
Lagrangian Duality for Constrained Deep Learning
Ferdinando Fioretto
,
Pascal Van Hentenryck
,
Terrence W. K. Mak
,
Cuong Tran
,
Federico Baldo
,
Michele Lombardi
2020 (modified: 06 Feb 2025)
ECML/PKDD (5) 2020
Readers:
Everyone
A Lagrangian Dual Framework for Deep Neural Networks with Constraints
Ferdinando Fioretto
,
Terrence W. K. Mak
,
Federico Baldo
,
Michele Lombardi
,
Pascal Van Hentenryck
2020 (modified: 06 Feb 2025)
CoRR 2020
Readers:
Everyone
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow
Minas Chatzos
,
Ferdinando Fioretto
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2020 (modified: 28 Jun 2024)
CoRR 2020
Readers:
Everyone
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2020 (modified: 28 Jun 2024)
AAAI 2020
Readers:
Everyone
Differential Privacy for Power Grid Obfuscation
Ferdinando Fioretto
,
Terrence W. K. Mak
,
Pascal Van Hentenryck
2020 (modified: 28 Jun 2024)
IEEE Trans. Smart Grid 2020
Readers:
Everyone
View all 23 publications
Co-Authors
Anatoly Zlotnik
Arnaud Lallouet
Carleton Coffrin
Cuong Tran
David J. Hill
Federico Baldo
Ferdinando Fioretto
Hassan L. Hijazi
Ian A. Hiskens
Jimmy Ho-Man Lee
Justin Yip
Mathieu Tanneau
Michael Klamkin
Michele Lombardi
Minas Chatzos
Pascal Van Hentenryck
Russell Bent
Seonho Park
Wenbo Chen