Giovanni Misitano, MSc

I am currently employed as a doctoral student at the University of Jyväskylä, Finland, in the Multiobjectove Optimization Group. I specialize in methods and tools for multiobjective optimization. These methods can be applied anywhere with available data, conflicting objectives, and decision makers—that is pretty much anywhere these days. My current work focuses on researching decision support tools, more specifically, interactive multiobjective optimization methods, that are explainable and transparent to decision makers and stakeholders alike. I also have a deep interest in developing user interfaces and in the user experience in general from a cognition perspective.

Contact me

I will be happy to discuss almost anything. You can best contact me via my work email: giovanni {dot} a {dot} misitano (at) jyu [dot] fi.

Employment

I am currently employed as a full-time doctoral student at the University of Jyväskylä. I am eployed part-time to work on a minor research project as well, and I do occasional short-term jobs as a teaching assistant at our university's physics department.

PhD, working title: Explainable Multiobjective Optimization, University of Jyväskylä (2024, ongoing)

MSc, Computer Science, University of Jyväskylä (2020)

BSc, Physics, University of Jyväskylä (2016)

President of the Finnish Operations Research society, 2023.

Award fo best pitch related to information and communication technology or telecommunications, Millenium Graduate Student Contest, 2022.

Listed are the research projects I have been, or am currently, part of.

DAEMON, Academy of Finland (322221)

A continuation of the DESDEO-project focusing on data-driven (data-enabled) multiobjective optimization problem formulation and solving. The development of user interfaces and researching novel ideas in multiobjective optimization, such as explainability, are also a central focus of DAEMON. The methods and tools developed are implemented as open source code in the DESDEO framework.

Logistics order-supply chain modelling and optimization, 2021-2024

Modelling and solving multiobjective optimization problems related to order-supply chains. Due to confidential reasons, no more details can be given at this time.

DESDEO, Academy of Finland (287496)

Developing tools and methods for solving computationally expensive multiobjective optimization problems. The tools and methods are implemented as open source code in the DESDEO framework. The DESDEO framework is the most significant output of this project.

Conferences

Comparing interactive multiobjective optimization methods with artificial decision-makers based on computational rationality, The IFORS23 conference, Chile (2023). Slides.

Explainability and its potential in interactive multiobjective optimization, The EURO 2022 conference, Aalto University (2022). Slides.

Latest advancements in software for interactive multiobjective optimization: Introduction to DESDEO, 26th International Conference on Multiple Criteria Decision Making, University of Portsmouth (2022). Slides.

Invitations

Explainable multiobjective optimization, HIPPO Lab meeting, Delft University of Technology (2023)

Explainable artificial intelligence and explainable multiobjective optimization, CCLS seminar, University of Leiden (2022).

Podcast guest, Mitä tutkIT, Giovanni Misitano? Monitavoiteoptimoinnin tutkimus ja väitöskirjatutkijan arki, AamukahvIT-podcast, University of Jyväskylä (2022). Recording.

Lecture, DESDEO: The framework for interactive multiobjective optimization, University of Turku (2021).

Presentations

DESDEO: The framework for interactive multiobjective optimization, during the cruise arranged by the Doctoral Education Network on Systems Analysis, Decision Making and Risk Management (2021). Slides.

Interfaces through the ages, DEMO seminar, University of Jyväskylä (2021). Recording.

Contributing to DESDEO—what you should know to get started, DEMO seminar, University of Jyväskylä (2021). Recording.

How machine learning is being combined with multiobjective optimization?—Preliminary findings, DEMO seminar, University of Jyväskylä (2020).

Belief-rule based systems: Can they be used to learn a decision maker's preferences for a multi-objective optimization problem?, DEMO seminar, University of Jyväskylä (2020).

Tutorials

DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization, DEMO seminar, University of Jyväskylä (2021). Recording | Slides.

The DESDEO web stack and its components, DEMO seminar, University of Jyväskylä (2021). Recording.

Posters

Explainable Multiobjective Optimization, IT Faculty Research Day 2021, University of Jyväskylä (2021). Poster.

Lecturer, The 31st Jyväskylä Summer School, COM1: Interactive Multiobjective Optimization: Applications and Tools to Support Decision Making, University of Jyväskylä (2022).

Various physics courses. Between the years 2015-2020 I have been working as a teaching assistant in around a dozen university physics courses at the university of Jyväskylä both introductory and advanced level. Currently, I do short-term work as a teaching assistant at a student physics laboratory. I oversee students performing experiments and grade assignmnets.

I like to play the alto saxophone and electric bass. I also share my current household with four cats: Olio, Hiisi, Nadia, and Örkki, and my partner.

Designing empirical experiments to compare interactive multiobjective optimization methods

B. Afsar, J. Silvennoinen, G. Misitano, F. Ruiz, A. B. Ruiz, K. Miettinen. Journal of the Operational Research Society 0 (0), 1-12. 2022. DOI | open-access.

Integration of lot sizing and safety strategy placement using interactive multiobjective optimization

A. Kania, J. Sipilä, G. Misitano, K. Miettinen, J. Lehtimäki. Computers & Industrial Engineering 173, 108731. 2022. DOI | open-access.

Towards explainable interactive multiobjective optimization: R-XIMO

G. Misitano, B. Afsar, G. Lárraga, K. Miettinen. Autonomous Agents and Multi-Agent Systems 36 (2), 1-43. 2022. DOI.

Interactivized: Visual Interaction for better decisions with interactive multiobjective optimization

J. Hakanen, S. Radoš, G. Misitano, B. S. Saini, K. Miettinen, K. Matković. IEEE Access 10, 33661-33678. 2022. DOI.

DESDEO: The modular and open source framework for interactive multiobjective optimization

G. Misitano, B. S. Saini, B. Afsar, B. Shavazipour, K. Miettine. IEEE Access 9, 148277-148295. 2021. DOI.

Interactively learning the preferences of a decision maker in multi-objective optimization utilizing belief-rules

G. Misitano. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 133-140. 2020. DOI | open-access.

INFRINGER: A novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning

G. Misitano. Master's thesis, University of Jyväskylä. 2020. URI.

Kaksoisbeetahajoaminen: Neutriinon massa ja sen kokeellinen määrittäminen

G. Misitano. Bachelor's thesis, University of Jyväskylä. 2016. URI.