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


Computers and Chemical Engineering Best Paper Award 2014

Award or honor granted for a specific work Department of Chemical and Metallurgical Engineering Nov 2015


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 and 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 and 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

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 AIChE Journal

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

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 Industrial and Engineering Chemistry Research