Vidwan-ID : 225109

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Academic

Orcid Id 0000-0002-9363-2319
Scopus Id 25923097200
Researcher Id E-6393-2018
Google Scholar Id f-5gFeYAAAAJ

Score criteria

Criteria	Point
Personal Details	1
Expertise Details	1
Experience Details	1
Qualification Details	1
Employee ID	0.2
Orcid ID	0.2
Researcher ID	0.2
Scopus ID	0.2
Google Scholar ID	0.2
Honours <=3< /td>	0.3
Honours >3	0.5
Project worth less than Rs.5,00,000/-	0.2
Project worth more than Rs.5,00,000/-	0.5
Membership in professional Bodies < 5	0.5
Membership in professional bodies >=5	1
No of publications <=15	1
No of publications between 15-45	2
No of publications >45	3

Vidwan Score 9.7

35 Articles

6 Books

16 Projects

11 Awards

Dr Valliappan Raman

Professor

Coimbatore Institute of Technology

Publications

35

Journal Articles
6

Book
54

Conference
Proceedings
16

Projects
11

Awards
9
1
5
42

Citations / H-Index

302 Citations

8 h-index

2 Citations

Google Scholar

Co-author Network

Expertise

Computer Science Artificial Intelligence

Research interests revolve around the problems of computer vision & pattern recognition, which includes image/video retrieval Systems, video semantics, object recognition and classification Systems. Much of my recent research works are on artificial Intelligence, machine learning, deep learning in medical imaging. Have also working on research areas related to health Informatics, Internet of Things (IoT) and data analytics.

Personal Information

Dr Valliappan Raman

Male

Department Of Artificial Intelligence And Data Science Coimbatore Institute Of Technology

Coimbatore, Tamil Nadu, India - 641014

Experience

2021 - Present

Professor

Artificial Intelligence and Data Science

Coimbatore Institute of Technology,Coimbatore

Qualification

2015

PhD

Universiti Sains Malaysia, Penang, Malaysia
2005

Master of Science

Universiti Sains Malaysia, Penang, Malaysia
2002

Bachelor of Engineering

Madurai Kamaraj University

Honours and Awards

2019

Vice Chancellor’s Community Engagement Award [Highly Commended]

Swinburne University of Technology , Melbourne, Australia

2019

Bronze Medal for the project “Automatic Detection of Multiple Retinal Abnormalities using Convolutional Neural Network (CNN) Approach in Fundus Eye"

InTex 19 University Malaysia Sarawak

2019

Bronze Medal ” for the project “Digital Socio-Economic Platform”

InTex 2019 University Malaysia Sarawak

2019

Vice Chancellor’s Community Engagement Award [Highly Commended]

Swinburne University of Technology , Melbourne, Australia

2019

Bronze Medal for the project “Automatic Detection of Multiple Retinal Abnormalities using Convolutional Neural Network (CNN) Approach in Fundus Eye"

InTex 19 University Malaysia Sarawak

2019

Bronze Medal ” for the project “Digital Socio-Economic Platform”

InTex 2019 University Malaysia Sarawak

2019

Best Trainer

Gem Consultancy Affiliated to Human Resource Development Fund, Sarawak

2019

Bronze Medal, Digital Socio-Economic Platform

InTex 2019, University Malaysia Sarawak

2018

Vice Chancellor’s Industry Engagement Award [Highly Commended Team Award]

Swinburne University of Technology , Melbourne, Australia

2018

Best Paper

ISIITA, Kota Kinnabalu, Sabah

2017

Silver "Borneo Cyber Security Challenge 2017 "

Malaysian Communication and Multimedia Corporation(MCMC) and University Malaysia Sabah

2017

Best Paper Award

CICET 2017, Taipei, Taiwan

2016

President, Swinburne Staff Recreation Committe

Swinburne University of Technology Sarawak

2015

Bronze Medal” Penang Invention, Innovation and Design 2015

UiTM Malaysia

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Doctoral Theses Guided

2019

Retinal Image Analysis and Diagnosis of Retinal Blood Vascular Diseases using Deep Learning Model

Swinburne University of Techonology Sarawak,Bismita Chaudhry

2019

Retinal Image Analysis and Diagnosis of Retinal Blood Vascular Diseases using Deep Learning Model

Swinburne University of Techonology Sarawak,Bismita Chaudhry

Read Less

Membership In Professional Bodies

2023

The Institution of Engineers (India)

Member

2020

Institution of Engineering and Technology

International Professional Engineer (IntPE), UK

2018

Malaysia Board of Technologist

Professional Technologist

2023

The Institution of Engineers (India)

Member

2020

Institution of Engineering and Technology

International Professional Engineer (IntPE), UK

2018

Malaysia Board of Technologist

Professional Technologist

2017

Institution of Engineering and Technology

Chartered Engineer (UK)

2017

Australia Computer Society

Member

2016

Institute of Engineer and Technology

Member

2016

Institute of Electrical and Electronics Engineers

Senior Member

Read Less

Membership In Committees

2020

Scholarship Panel Evaluation Committee

Member, Yayasan Sarawak Foundation, Chief Minister Office, Sarawak

2019

Faculty Executive Team

Member, Swinburne University of Technology Sarawak

2018

Emergency Response Team

Executive Member, Swinburne University of Technology Sarawak

2020

Scholarship Panel Evaluation Committee

Member, Yayasan Sarawak Foundation, Chief Minister Office, Sarawak

2019

Faculty Executive Team

Member, Swinburne University of Technology Sarawak

2018

Emergency Response Team

Executive Member, Swinburne University of Technology Sarawak

2007

University Research Committee

Member, Swinburne University of Technology Sarawak

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Research Projects

INTERACTIVE COVID-19 DASHBOARD: Design and Development of Statistical Model for Short term Prediction of Dynamic COVID-19 transmission

Funding Agency : Indian Council of Medical Research

Scalable Time Series Pattern Recognition on IoT Sensor Data by Using Magnitude Based Dimension Reduction

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Determining the discriminative features of Retinal Vein Occlusion images for Prediction of Cardiovascular Disease using weakly-supervised deep learning methods

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Funding Agency : Indian Council of Medical Research

Scalable Time Series Pattern Recognition on IoT Sensor Data by Using Magnitude Based Dimension Reduction

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Determining the discriminative features of Retinal Vein Occlusion images for Prediction of Cardiovascular Disease using weakly-supervised deep learning methods

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Smart Chronic Disease Management App

Funding Agency : Prototype Research Grant Scheme, Ministry of higher education

A Novel Deep Neural Network Model for Automatic Contradictory Claims Detection in Medical Literature: Towards generating synthesized knowledge for Evidence-Based Healthcare Practices

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Investigating the Adoption and Contribution of Literature-Based Discovery Methods towards Clinical Research Ideation among Investigator Initiated Research Projects in Malaysia

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Deep Retinal Classifier: Automatic Detection of Retinal Vein Occlusion Using Convolution Neural Network Approaches in Fundus Retinal Images

Funding Agency : EDANA SMARTFUND, Ministry of Science and Technology Innovation

Feasibility study on the deployment of practical internet framework for future rural area digital infrastructure development

Funding Agency : Sarawak Multimedia Authority

Development of a Digital Socio- Economy Platform to Improve Quality of Life and Productivity of Rural Communities in Sarawak

Funding Agency : Sarawak Information Systems Sdn. Bh

Digital Logistics and Waste Management Solutions

Funding Agency : Trienekens (Sarawak) Sdn Bhd

Data Analysis Engine for Medical Discovery and Prevention

Funding Agency : Melbourne Sarawak Research Collaboration Grant

Dynamic graph methods for discovering surprising patterns from clinical health records

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

MammoMass Detector: An Automated Masses Detection based on Case-Base-Reasoning Classifier and Haralick-Texture Extractor for MRI Digital Breast Mammogram Diagnosis

Funding Agency : E-science Fund (Ministry of Science and Technology-Malaysia

Case Base Detection for Mass in Digital Breast Mammograms

Funding Agency : Fundamental Research Grant Scheme [FRGS] Ministry of Higher Education-Malaysia

Novel Medical Knowledge Discovery System: Analysis, Design & Implementation of Privacy Preserving & Rule Interestingness

Funding Agency : E-science Fund (Ministry of Science and Technology

Medical Knowledge Discovery System

Funding Agency : Technopreneur Seed Fund (Ministry of Science and Technology)

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Patents

Read Less

Vidwan-ID : 225109

Academic

Score criteria

Vidwan Score 9.7

Dr Valliappan Raman

Publications

Journal Articles

Book

Conference Proceedings

Projects

Awards

Citations / H-Index

Google Scholar

Co-author Network

Publications - 102 Co-author - 151

Expertise

Computer Science Artificial Intelligence

Personal Information

Dr Valliappan Raman

Experience

Professor

Qualification

PhD

Master of Science

Bachelor of Engineering

Honours and Awards

Vice Chancellor’s Community Engagement Award [Highly Commended]

Bronze Medal for the project “Automatic Detection of Multiple Retinal Abnormalities using Convolutional Neural Network (CNN) Approach in Fundus Eye"

Bronze Medal ” for the project “Digital Socio-Economic Platform”

Vice Chancellor’s Community Engagement Award [Highly Commended]

Bronze Medal for the project “Automatic Detection of Multiple Retinal Abnormalities using Convolutional Neural Network (CNN) Approach in Fundus Eye"

Bronze Medal ” for the project “Digital Socio-Economic Platform”

Best Trainer

Bronze Medal, Digital Socio-Economic Platform

Vice Chancellor’s Industry Engagement Award [Highly Commended Team Award]

Best Paper

Silver "Borneo Cyber Security Challenge 2017 "

Best Paper Award

President, Swinburne Staff Recreation Committe

Bronze Medal” Penang Invention, Innovation and Design 2015

Doctoral Theses Guided

Retinal Image Analysis and Diagnosis of Retinal Blood Vascular Diseases using Deep Learning Model

Retinal Image Analysis and Diagnosis of Retinal Blood Vascular Diseases using Deep Learning Model

Membership In Professional Bodies

The Institution of Engineers (India)

Institution of Engineering and Technology

Malaysia Board of Technologist

The Institution of Engineers (India)

Institution of Engineering and Technology

Malaysia Board of Technologist

Institution of Engineering and Technology

Australia Computer Society

Institute of Engineer and Technology

Institute of Electrical and Electronics Engineers

Membership In Committees

Scholarship Panel Evaluation Committee

Faculty Executive Team

Emergency Response Team

Scholarship Panel Evaluation Committee

Faculty Executive Team

Emergency Response Team

University Research Committee

Research Projects

INTERACTIVE COVID-19 DASHBOARD: Design and Development of Statistical Model for Short term Prediction of Dynamic COVID-19 transmission

Funding Agency : Indian Council of Medical Research

Scalable Time Series Pattern Recognition on IoT Sensor Data by Using Magnitude Based Dimension Reduction

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Determining the discriminative features of Retinal Vein Occlusion images for Prediction of Cardiovascular Disease using weakly-supervised deep learning methods

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

INTERACTIVE COVID-19 DASHBOARD: Design and Development of Statistical Model for Short term Prediction of Dynamic COVID-19 transmission

Funding Agency : Indian Council of Medical Research

Scalable Time Series Pattern Recognition on IoT Sensor Data by Using Magnitude Based Dimension Reduction

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Determining the discriminative features of Retinal Vein Occlusion images for Prediction of Cardiovascular Disease using weakly-supervised deep learning methods

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Smart Chronic Disease Management App

Funding Agency : Prototype Research Grant Scheme, Ministry of higher education

A Novel Deep Neural Network Model for Automatic Contradictory Claims Detection in Medical Literature: Towards generating synthesized knowledge for Evidence-Based Healthcare Practices

Funding Agency : Fundamental Research Grant Scheme, Ministry of Higher Education

Investigating the Adoption and Contribution of Literature-Based Discovery Methods towards Clinical Research Ideation among Investigator Initiated Research Projects in Malaysia

Conference
Proceedings