Iiro Harjunkoski
Professor
T106 Chemical and Metallurgical Eng
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/...
E-post
iiro.harjunkoski@aalto.fi
Utmärkelser
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
Forskningsgrupp
- Process Systems Engineering, Professor
Publikationer
Transforming the Process Industries through Electrification : Challenges and Opportunities
Michael Baldea, Elizabeth E. Endler, Elaine Hale, Christos T. Maravelias, Massimiliano Barolo, Iiro Harjunkoski, Mehmet Mercangoz, Sirish L. Shah, Masoud Soroush, Brent R. Young, Qi Zhang
2025
Industrial and Engineering Chemistry Research
Optimized Electricity Bidding under Price Uncertainty
Iiro Harjunkoski
2025
2025 21st International Conference on the European Energy Market, EEM 2025
A generalized disjunctive programming model for the static bike sharing rebalancing problem with demand intervals
Teemu J. Ikonen, Keijo Heljanko, Iiro Harjunkoski
2025
Optimization and Engineering
Supervised Learning of the Optimal Objective Function Value in Chemical Production Scheduling
Teemu J. Ikonen, Boeun Kim, Christos T. Maravelias, Iiro Harjunkoski
2025
Industrial and Engineering Chemistry Research
Circular supply chains for sustainable use of biomass
Maryam Mohammadi, Iiro Harjunkoski
2025
Computers & Chemical Engineering
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
Computers & Chemical Engineering
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
IEEE Transactions on Reliability
Stochastic programming of energy system operations considering terminal energy storage levels
Teemu J. Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2023
Computers & Chemical Engineering
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