Ferdian Jovan

Ferdian Jovan

Royal Holloway, University of London

H-index: 9

Europe-United Kingdom

About Ferdian Jovan

Ferdian Jovan, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at Royal Holloway, University of London, specializes in the field of Artificial Intelligence, Intelligent Robotics, Machine Learning.

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

Efficiently exploring for human robot interaction: partially observable Poisson processes

A multimodal dataset of real world mobility activities in Parkinson’s disease

Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting

Adaptive temporal planning for multi-robot systems in operations and maintenance of offshore wind farms

Automated real-world video analysis of sit-to-stand transitions predicts parkinson’s disease severity

Indoor Localisation for Detecting Medication Use in Parkinson's Disease

Real-world sit-to-stand evaluation

A multirobot system for autonomous deployment and recovery of a blade crawler for operations and maintenance of offshore wind turbine blades

Ferdian Jovan Information

University

Position

Post Doctoral Researcher

Citations(all)

512

Citations(since 2020)

343

Cited By

302

hIndex(all)

9

hIndex(since 2020)

7

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Royal Holloway, University of London

Google Scholar

View Google Scholar Profile

Ferdian Jovan Skills & Research Interests

Artificial Intelligence

Intelligent Robotics

Machine Learning

Top articles of Ferdian Jovan

Title

Journal

Author(s)

Publication Date

Efficiently exploring for human robot interaction: partially observable Poisson processes

Autonomous Robots

Ferdian Jovan

Milan Tomy

Nick Hawes

Jeremy Wyatt

2023/1

A multimodal dataset of real world mobility activities in Parkinson’s disease

Scientific data

Catherine Morgan

Emma L Tonkin

Alessandro Masullo

Ferdian Jovan

Arindam Sikdar

...

2023/12/20

Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting

Ferdian Jovan

Catherine Morgan

Ryan McConville

Emma L Tonkin

Ian Craddock

...

2023/8/6

Adaptive temporal planning for multi-robot systems in operations and maintenance of offshore wind farms

Proceedings of the AAAI Conference on Artificial Intelligence

Ferdian Jovan

Sara Bernardini

2023/6/26

Automated real-world video analysis of sit-to-stand transitions predicts parkinson’s disease severity

Digital Biomarkers

Catherine Morgan

Alessandro Masullo

Majid Mirmehdi

Hanna Kristiina Isotalus

Ferdian Jovan

...

2023/3/29

Indoor Localisation for Detecting Medication Use in Parkinson's Disease

Ferdian Jovan

Catherine Morgan

Ryan McConville

Emma Tonkin

Alan Whone

...

2022/9/29

Real-world sit-to-stand evaluation

Movement Disorders

C Morgan

A Masullo

H Isotalus

E Tonkin

M Mirmehdi

...

2022/9/27

A multirobot system for autonomous deployment and recovery of a blade crawler for operations and maintenance of offshore wind turbine blades

Journal of Field Robotics

Zhengyi Jiang

Ferdian Jovan

Peiman Moradi

Tom Richardson

Sara Bernardini

...

2022

Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers

arXiv preprint arXiv:2205.06142

Ferdian Jovan

Ryan McConville

Catherine Morgan

Emma Tonkin

Alan Whone

...

2022/5/12

Multi-Robot Coordination in Operations and Maintenance of Off Shore Wind Farms with Temporal Planning

Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS2021), Guangzhou, China

Ferdian Jovan

Sara Bernardini

2021/8/13

A multi-robot platform for the autonomous operation and maintenance of offshore wind farms

Sara Bernardini

Ferdian Jovan

Zhengyi Jiang

Peiman Moradi

Tom Richardson

...

2020/3/1

See List of Professors in Ferdian Jovan University(Royal Holloway, University of London)

Co-Authors

H-index: 40
Ian Craddock

Ian Craddock

University of Bristol

H-index: 33
Nick Hawes

Nick Hawes

University of Oxford

H-index: 31
Steffen Hölldobler

Steffen Hölldobler

Technische Universität Dresden

H-index: 27
Wisnu Jatmiko

Wisnu Jatmiko

Universitas Indonesia

H-index: 21
Mohamad Ivan Fanany

Mohamad Ivan Fanany

Universitas Indonesia

H-index: 19
Sara Bernardini

Sara Bernardini

Royal Holloway, University of London

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