Iiro Harjunkoski
Adjunct Professor
T106 Chemical and Metallurgical Eng
Adjunct Professor
The research of Professor Iiro Harjunkoski focuses on Process Systems Engineering, including Production Planning and Scheduling, Waste Supply Chain Management, Application of Mixed Integer Linear and Non-Linear Programming Methods, Hybrid Algorithms combined with Data Analytics, as well as, Process and Operational Optimization.
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Honors and awards
Computers and Chemical Engineering Best Paper Award 2014
https://www.journals.elsevier.com/computers-and-chemical-engineering/best-paper-award/2014-best-paper-award-announcement
Award or honor granted for a specific work
Department of Chemical and Metallurgical Engineering
Nov 2015
Publications
Machine learning in process systems engineering: Challenges and opportunities
Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Antonio del Rio Chanona, Christos Georgakis
2024
End-effect mitigation in multi-period stochastic programming of energy storage operations
Teemu Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2023
33rd European Symposium on Computer Aided Process Engineering
Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate
Teemu J. Ikonen, Francesco Corona, Iiro Harjunkoski
2023
Stochastic programming of energy system operations considering terminal energy storage levels
Teemu J. Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2023
Combining Machine Learning with Mixed Integer Linear Programming in Solving Complex Scheduling Problems
Iiro Harjunkoski, Teemu Ikonen
2022
14th International Symposium on Process Systems Engineering
Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2022
14th International Symposium on Process Systems Engineering
Surrogate-based optimization of a periodic rescheduling algorithm
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2022
On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization
Teemu J. Ikonen, Iiro Harjunkoski
2021
Computer Aided Chemical Engineering
Reinforcement Learning of Optimization Strategy and Horizon Length Selection in Online Vehicle Routing
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2021
Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming
Maryam Mohammadi, Edgar Martín-Hernández, Mariano Martín, Iiro Harjunkoski
2021