Experts::USM

CV Information
EXPERT IN APPLIED SCIENCE AND TECHNOLOGY SCHOOL OF MATHEMATICAL SCIENCES Main Campus UNIVERSITI SAINS MALAYSIA (USM) Starting Date in USM: 01 November 2023 gobithaasan@usm.mygobithaasan@usm.my +6(04) 653 (Ext) 4766 https://experts.usm.my/cvitae/gobithaasanhttps://experts.usm.my/cvitae/gobithaasan https://math.usm.my/academic-profile/705-gobithaasan-rudrusamyhttps://math.usm.my/academic-profile/705-gobithaasan-rudrusamy B Sc, SAINS GUNAAN UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA) MSc, MATEMATIK UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA) PhD, COMPUTER AIDED GEOMETRIC DESIGN UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA) BIOGRAPHY Gobithaasan started his academic journey in 2009 as a UMT lecturer after the completion of his PhD. He was promoted to associate professor in 2015, excelling in projects backed by national and international agencies. Since November 2023, he has been attached to USM. As a keynote speaker and visiting professor, he not only disseminates research insights but also holds the role of academic editor for local and reputable journals. RESEARCH INTERESTS Aspiring to create a new path of science in understanding various data shapes and structures, he is eager to work with collaborators and students interested in research involving Computational Mathematics, especially Topological Data Analysis, Geometric Modelling and Artificial Neural Networks.. Currently, he is working with time series, climate, and image datasets. Scopus ID 5721133734157211337341 Researcher ID H-8891-2018H-8891-2018 ORCID 0000-0003-3077-87720000-0003-3077-8772 Google Scholar ID GwG71a4AAAAJGwG71a4AAAAJ EXPERTISE FORMAL SCIENCES >> Applied Mathematics > Visualisation, Prediction and Monitoring FORMAL SCIENCES >> Computation Theory and Mathematics > Mathematics for Computer-Aided Geometric Design (CAGD) APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Expert Systems and Machine Learning APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Predictive Analytics in Machine Learning ENVIRONMENT SUSTAINABILITY >> Climate Change > Climate Change SDG (Research Grants)

CV Information

PROFESOR MADYA DR. GOBITHAASAN A/L RUDRUSAMY

EXPERT IN

APPLIED SCIENCE AND TECHNOLOGY

SCHOOL OF MATHEMATICAL SCIENCES

Main Campus

UNIVERSITI SAINS MALAYSIA (USM)

Starting Date in USM: 01 November 2023

gobithaasan@usm.my

+6(04) 653 (Ext) 4766

https://experts.usm.my/cvitae/gobithaasan

https://math.usm.my/academic-profile/705-gobithaasan-rudrusamy

B Sc, SAINS GUNAAN
UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
MSc, MATEMATIK
UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
PhD, COMPUTER AIDED GEOMETRIC DESIGN
UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)

BIOGRAPHY

Gobithaasan started his academic journey in 2009 as a UMT lecturer after the completion of his PhD. He was promoted to associate professor in 2015, excelling in projects backed by national and international agencies. Since November 2023, he has been attached to USM. As a keynote speaker and visiting professor, he not only disseminates research insights but also holds the role of academic editor for local and reputable journals.

RESEARCH INTERESTS

Aspiring to create a new path of science in understanding various data shapes and structures, he is eager to work with collaborators and students interested in research involving Computational Mathematics, especially Topological Data Analysis, Geometric Modelling and Artificial Neural Networks.. Currently, he is working with time series, climate, and image datasets.

Scopus ID

57211337341

Researcher ID

H-8891-2018

ORCID

0000-0003-3077-8772

Google Scholar ID

GwG71a4AAAAJ

EXPERTISE

FORMAL SCIENCES >> Applied Mathematics > Visualisation, Prediction and Monitoring
FORMAL SCIENCES >> Computation Theory and Mathematics > Mathematics for Computer-Aided Geometric Design (CAGD)
APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Expert Systems and Machine Learning
APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Predictive Analytics in Machine Learning
ENVIRONMENT SUSTAINABILITY >> Climate Change > Climate Change

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