Candidates
Name: Avinash Bhardwaj
Affiliation: Indian Institute of Technology Bombay
Research topics: Polyhedral Cutting Planes, MINLP, Polyhedral Theory
Webpage: LINK
Affiliation: Indian Institute of Technology Bombay
Research topics: Polyhedral Cutting Planes, MINLP, Polyhedral Theory
Webpage: LINK
Over last decade the growth of the MIP community has been impressive. With MIP workshop going international in 2024, the number of direct partakers of MIP events will definitely grow substantially as well. My primary motivation stems from providing a South-East Asian perspective to COMIPS, and helping serve the interests of the global MIP community. Whilst organizing the MIP International workshop I learnt about the growing academic community in India whose research interests span MIP at large, however not have had opportunities to be associated with MIP community. As a member of the COMIPS, I would like to contribute to fostering wholistic and sustainable growth of the MIP community.
Name: Melike Hazal Can
Affiliation: Harvard T.H. Chan School of Public Health
Research topics: operations research, machine learning, simulation
Affiliation: Harvard T.H. Chan School of Public Health
Research topics: operations research, machine learning, simulation
As a researcher with a background in industrial engineering and operations research, I want to be a member of the Committee of the Mixed-Integer Programming Society. I have long-term experience in mixed-integer programming, I am willing to take part in promoting mixed-integer programming as a powerful tool to solve real-world problems. I have volunteered in different organizations and academic societies, and I have organized different kinds of events including seminars and workshops. I am very enthusiastic about being a part of organizing the Mixed Integer Programming Workshops. I believe that my experience in organizing academic events would enable me to be successful in this Committee.
Name: Rui Chen
Affiliation: Chinese University of Hong Kong, Shenzhen
Research topics: Integer Programming, Stochastic Programming, Machine Learning
Webpage: LINK
Affiliation: Chinese University of Hong Kong, Shenzhen
Research topics: Integer Programming, Stochastic Programming, Machine Learning
Webpage: LINK
I am an assistant professor at the School of Data Science of the Chinese University of Hong Kong, Shenzhen. My research focuses on the theory and computation of discrete optimization (integer programming in particular), as well as optimization under uncertainty. I consider myself fortunate to academically grow up within the MIP community. I have attended every MIP workshop since 2020 and cherished every opportunity to engage with our colleagues. Serving as an official of COMIPS would grant me the chance to give back to this amazing community. My goal is to promote MIP methodologies, enhance the visibility of MIP, and strengthen the connections among integer programmers in Asia-Pacific.
Name: Philipp M. Christophel
Affiliation: SAS Institute
Research topics: MIP solver implementation, cutting planes, simplex
Webpage: LINK
Affiliation: SAS Institute
Research topics: MIP solver implementation, cutting planes, simplex
Webpage: LINK
I think the MIP Workshop is the most valuable conference in our field because it brings the people who are devoted to MIP research together to exchange their ideas. It’s also a great venue to give young researchers and students an opportunity to show their MIP research and to draw them into this great community.
Our field has a long history of successfully transferring ideas from academics into successful commercial and open source software products. The MIP Workshop should foster and extend this collaboration.
I attended 13 of the 21 MIP Workshops so far, gave invited talks at two of them (2012 in Davis and 2017 in Montréal), and was a member of the program committee 2018 at Clemson.
Name: Silvia Di Gregorio
Affiliation: Université Sorbonne Paris Nord
Research topics: Integer Programming, Mixed Integer Nonlinear Programming
Webpage: LINK
Affiliation: Université Sorbonne Paris Nord
Research topics: Integer Programming, Mixed Integer Nonlinear Programming
Webpage: LINK
I am a faculty member at Université Sorbonne Paris Nord, after having completed my PhD at UW-Madison and a postdoc at TU Dresden. As one of the co-organizers of DOTs, an online event sponsored by MIPS, I am deeply committed to fostering an inclusive and engaging community in mixed-integer programming. Our seminars have attracted close to 100 attendees, and recordings are available on YouTube. I really value MIP workshops for their welcoming atmosphere, excellent-quality talks, and broad representation of the MIP spectrum. I strongly believe in keeping MIPS events open to all and free whenever feasible. Joining COMIPS would allow me to help sustain and enhance these values.
Name: Cheng Guo
Affiliation: Clemson University
Research topics: nonconvex energy markets, stochastic integer programming, copositive programming
Webpage: LINK
Affiliation: Clemson University
Research topics: nonconvex energy markets, stochastic integer programming, copositive programming
Webpage: LINK
As an active member of the MIP community, I have attended every MIP workshop since 2019, presenting posters (2019, 2021) and giving an invited talk (2023). I have also served as a reviewer for Mathematical Programming. If elected, I will work together with the committee to enhance the community’s visibility and impact, and to support early-career researchers. I aim to facilitate participation across MIP’s theoretical, computational, and applied areas, strengthening existing activities and promoting interdisciplinary engagement.
Name: Christopher Hojny
Affiliation: Eindhoven University of Technology
Research topics: symmetry handling in MIP and MINLP; relations between different properties of IP formulations (number of inequalities, size of coefficients, etc.); developing efficient MIP software for solving optimization problems
Webpage: LINK
Affiliation: Eindhoven University of Technology
Research topics: symmetry handling in MIP and MINLP; relations between different properties of IP formulations (number of inequalities, size of coefficients, etc.); developing efficient MIP software for solving optimization problems
Webpage: LINK
I have always enjoyed to actively contribute to the MIP community not
only by conducting my own MIP research, but also to organize MIP events
like the 2024 MIP workshop and the inaugural European MIP workshop in
2025. With my candidature, I want to extend my support for MIPS by
strengthening its visibility and attractiveness for researchers all
around the globe, e.g., by providing (technical) support for the website
and other activities.
Name: José Firmino Aguilar Madeira
Affiliation: Instituto Superior de Engenharia de Lisboa (ISEL), IDMEC - Instituto Superior Técnico
Research topics: Mixed-Integer Programming; Derivative-Free Optimization; (DFO) Multiobjective Optimization
Webpage: LINK
Affiliation: Instituto Superior de Engenharia de Lisboa (ISEL), IDMEC - Instituto Superior Técnico
Research topics: Mixed-Integer Programming; Derivative-Free Optimization; (DFO) Multiobjective Optimization
Webpage: LINK
I am running for the COMIPS Committee to contribute my expertise in mixed-integer and derivative-free optimization to the vibrant MIP community. As the leader of the "Mixed Continuous and Discrete Optimization" working group in a COST Action, I actively foster international collaboration in this field. Additionally, I have led major research projects, including the FCT-funded AXIS and the ERC proposal MIND. My experience in organizing workshops and thematic sessions aligns with the COMIPS mission, and I am committed to promoting innovation and bridging academia with industry in optimization.
Name: Jakub Marecek
Affiliation: Czech Technical University
Research topics: Integer programming, semidefinite programming, polynomial optimization
Webpage: LINK
Affiliation: Czech Technical University
Research topics: Integer programming, semidefinite programming, polynomial optimization
Webpage: LINK
I would like to promote diversity in the COMIPS, both in terms of techniques and in terms of the breadth of applications.
Name: Matthias Walter
Affiliation: University of Twente
Research topics: mixed-integer programming, total unimodularity, polyhedral combinatorics
Webpage: LINK
Affiliation: University of Twente
Research topics: mixed-integer programming, total unimodularity, polyhedral combinatorics
Webpage: LINK
I would like to contribute to COMIPS by being a channel to MIP researchers in Europe. I bring in technical skills for all sorts of tasks that could be useful to run effectively.
Name: Boshi Yang
Affiliation: Clemson University
Research topics: MIQP, convexification, conic optimization
Webpage: LINK
Affiliation: Clemson University
Research topics: MIQP, convexification, conic optimization
Webpage: LINK
I have been deeply engaged with the MIP Workshops, making them a key part of my annual routine. The vibrant exchange of ideas with fellow researchers has been incredibly rewarding, and I truly appreciate the leadership of our junior officers alongside the strong mentorship of senior members. These interactions have shaped my research and professional growth. Now, I would love the opportunity to contribute back to this community by playing a more active role in its organization and continuity. Being part of COMIPS would allow me to support and strengthen the MIP Society for current and future members.
Name: Kim Yu
Affiliation: Université de Montréal
Research topics: mixed-integer programming, polyhedral theory
Webpage: LINK
Affiliation: Université de Montréal
Research topics: mixed-integer programming, polyhedral theory
Webpage: LINK
I had been greatly benefited from the opportunities made possible by COMIPS, and I would love to give back to this wonderful community.
Name: Weijun Xie
Affiliation: ISyE, Georgia Tech
Research topics: Stochastic Integer Programming, Nonconvex Optimization
Webpage: LINK
Affiliation: ISyE, Georgia Tech
Research topics: Stochastic Integer Programming, Nonconvex Optimization
Webpage: LINK
I am happy to serve the mixed integer programming community. If elected, I will ensure that the MIP workshop continues to serve as a place for sharing cutting-edge research, engaging in thought-provoking discussions, and strengthening connections among researchers and practitioners across academia and industry. I look forward to contributing to the growth and vibrancy of the MIP Workshop and its role in advancing the field of mixed integer programming. Particularly, I am happy to contribute to inviting speakers in the domain of stochastic integer programming and machine learning.