Keijo Heljanko

About Keijo Heljanko

Keijo Heljanko, With an exceptional h-index of 34 and a recent h-index of 18 (since 2020), a distinguished researcher at Helsingin yliopisto, specializes in the field of Parallel and Distributed Systems, Big Data, Data Science, Model Checking, #UnivHelsinkiCS.

His recent articles reflect a diverse array of research interests and contributions to the field:

A generalized disjunctive programming model for the static bike sharing rebalancing problem with demand intervals

Explainable machine learning for modelling of net ecosystem exchange in boreal forest

Towards compositional hardware model checking certification

Observability, Monitoring, and In Situ Analytics in Exascale Applications

Stratified Certification for k-Induction.

Surrogate‐based optimization of a periodic rescheduling algorithm

Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization

Distributed hybrid-indexing of compressed pan-genomes for scalable and fast sequence alignment

Keijo Heljanko Information

University

Position

Professor of Computer Science Department of Computer Science

Citations(all)

3947

Citations(since 2020)

1207

Cited By

3182

hIndex(all)

34

hIndex(since 2020)

18

i10Index(all)

71

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Keijo Heljanko Skills & Research Interests

Parallel and Distributed Systems

Big Data

Data Science

Model Checking

#UnivHelsinkiCS

Top articles of Keijo Heljanko

A generalized disjunctive programming model for the static bike sharing rebalancing problem with demand intervals

Computers & Chemical Engineering

2023/6/1

Explainable machine learning for modelling of net ecosystem exchange in boreal forest

EGUsphere

2023/12/6

Towards compositional hardware model checking certification

2023/10/24

Armin Biere
Armin Biere

H-Index: 39

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Observability, Monitoring, and In Situ Analytics in Exascale Applications

2023/5

Stratified Certification for k-Induction.

2022/10/17

Armin Biere
Armin Biere

H-Index: 39

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Surrogate‐based optimization of a periodic rescheduling algorithm

AIChE Journal

2022/6

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization

2022/1/1

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Distributed hybrid-indexing of compressed pan-genomes for scalable and fast sequence alignment

Plos one

2021/8/3

Dynamic Process Intensification via Data-Driven Dynamic Optimization: Concept and Application to Ternary Distillation

Industrial & Engineering Chemistry Research

2021/7/6

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Progress in certifying hardware model checking results

2021

Armin Biere
Armin Biere

H-Index: 39

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Reinforcement Learning of Optimization Strategy and Horizon Length Selection in Online Vehicle Routing

2021/11/9

Teemu Ikonen
Teemu Ikonen

H-Index: 2

Keijo Heljanko
Keijo Heljanko

H-Index: 17

An optimal cut-off algorithm for parameterised refinement checking

Science of Computer Programming

2020/10/15

Antti Siirtola
Antti Siirtola

H-Index: 3

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Reinforcement learning of adaptive online rescheduling timing and computing time allocation

Computers & Chemical Engineering

2020/10/4

Keijo Heljanko
Keijo Heljanko

H-Index: 17

SparkBeagle: scalable genotype imputation from distributed whole-genome reference panels in the cloud

2020/9/21

Altti Ilari Maarala
Altti Ilari Maarala

H-Index: 5

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Scalable reference genome assembly from compressed pan-genome index with spark

2020/9/18

Synergistic and intelligent process optimization: First results and open challenges

Industrial & Engineering Chemistry Research

2020/7/31

Data-Driven Approach to Grade Change Scheduling Optimization in a Paper Machine

Industrial & Engineering Chemistry Research

2020/3/13

IoTEF: A federated edge-cloud architecture for fault-tolerant IoT applications

Journal of Grid Computing

2020/3

Dartagnan: Bounded Model Checking for Weak Memory Models (Competition Contribution)

2020

Keijo Heljanko
Keijo Heljanko

H-Index: 17

Roland Meyer
Roland Meyer

H-Index: 7

See List of Professors in Keijo Heljanko University(Helsingin yliopisto)

Co-Authors

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