Håkan Grahn

About Håkan Grahn

Håkan Grahn, With an exceptional h-index of 23 and a recent h-index of 13 (since 2020), a distinguished researcher at Blekinge Tekniska Högskola, specializes in the field of Parallel programming, Computer Architecture, Machine Learning, AI, Image Processing.

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

Bibliometric Mining of Research Trends in Machine Learning

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles

Avoiding Detection by Hostile Nodes in Airborne Tactical Networks

Intelligent approaches to fault detection and diagnosis in district heating: Current trends, challenges, and opportunities

MultiStream EvolveCluster

Topology Control for Directed DataLinks between Airborne Platforms: Directed Air Data Link: WP3 report

HINTS: Human-Centered Intelligent Realities

Recent developments in low-power AI accelerators: A survey

Håkan Grahn Information

University

Position

Professor of Computer Engineering Sweden

Citations(all)

2534

Citations(since 2020)

1060

Cited By

1754

hIndex(all)

23

hIndex(since 2020)

13

i10Index(all)

48

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Håkan Grahn Skills & Research Interests

Parallel programming

Computer Architecture

Machine Learning

AI

Image Processing

Top articles of Håkan Grahn

Bibliometric Mining of Research Trends in Machine Learning

2024/1/19

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles

Swedish Artificial Intelligence Society

2023/6/9

Avoiding Detection by Hostile Nodes in Airborne Tactical Networks

Future Internet

2023/5/31

Intelligent approaches to fault detection and diagnosis in district heating: Current trends, challenges, and opportunities

2023/3/18

MultiStream EvolveCluster

2023

Topology Control for Directed DataLinks between Airborne Platforms: Directed Air Data Link: WP3 report

2023

Recent developments in low-power AI accelerators: A survey

2022/11/8

Håkan Grahn
Håkan Grahn

H-Index: 11

Anton Borg
Anton Borg

H-Index: 9

Intelligent Approaches for Fault Detection and Diagnosis in Building Substations: A Position Paper

Presented at KES-SEB

2022/9

Research trends, enabling technologies and application areas for big data

Algorithms

2022/8/9

Lars Lundberg
Lars Lundberg

H-Index: 14

Håkan Grahn
Håkan Grahn

H-Index: 11

EvolveCluster: an evolutionary clustering algorithm for streaming data

Evolving Systems

2022/8

Editorial to the special issue on Big Data in Industrial and Commercial Applications

2021/11/15

Blind correction of lateral chromatic aberration in raw Bayer data

IEEE Access

2021/7/12

Håkan Grahn
Håkan Grahn

H-Index: 11

Energy-aware very fast decision tree

International Journal of Data Science and Analytics

2021/3

Method and device for demosaicing of color images

2020/12/29

A higher order mining approach for the analysis of real-world datasets

Energies

2020/11/4

ARDIS: a Swedish historical handwritten digit dataset

Neural Computing and Applications

2020/11

Huseyin Kusetogullari
Huseyin Kusetogullari

H-Index: 8

Håkan Grahn
Håkan Grahn

H-Index: 11

Representative image selection for data efficient word spotting

2020/7/26

Håkan Grahn
Håkan Grahn

H-Index: 11

Multi-View Clustering Analyses for District Heating Substations

2020

See List of Professors in Håkan Grahn University(Blekinge Tekniska Högskola)

Co-Authors

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