R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

Nanyang Technological University

H-index: 119

Asia-Singapore

About R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub), With an exceptional h-index of 119 and a recent h-index of 92 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Machine Learning(ML), Swarm-Evolutionary Computation(SEC), Neural Networks(ANN), Applications of ML.

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

Benchmark problems for large-scale constrained multi-objective optimization with baseline results

Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment

Online dynamic ensemble deep random vector functional link neural network for forecasting

Multi-Modal and Multi-User Semantic Communications for Channel-Level Information Fusion

Online learning using deep random vector functional link network

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms

A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub) Information

University

Position

EEE (Honorary Doctorate Uni. of Maribor 2020; BA MA Uni. of Cambridge UK)

Citations(all)

71864

Citations(since 2020)

37505

Cited By

48993

hIndex(all)

119

hIndex(since 2020)

92

i10Index(all)

390

i10Index(since 2020)

302

Email

University Profile Page

Nanyang Technological University

Google Scholar

View Google Scholar Profile

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub) Skills & Research Interests

Machine Learning(ML)

Swarm-Evolutionary Computation(SEC)

Neural Networks(ANN)

Applications of ML

Top articles of R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

Title

Journal

Author(s)

Publication Date

Benchmark problems for large-scale constrained multi-objective optimization with baseline results

Swarm and Evolutionary Computation

Kangjia Qiao

Jing Liang

Kunjie Yu

Weifeng Guo

Caitong Yue

...

2024/4/1

Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment

IEEE Transactions on Intelligent Transportation Systems

Huan Liu

Guohua Wu

Ling Zhou

Witold Pedrycz

Ponnuthurai Nagaratnam Suganthan

2023/6/22

Online dynamic ensemble deep random vector functional link neural network for forecasting

Neural Networks

Ruobin Gao

Ruilin Li

Minghui Hu

PN Suganthan

Kum Fai Yuen

2023/7/7

Multi-Modal and Multi-User Semantic Communications for Channel-Level Information Fusion

IEEE Wireless Communications

Xuewen Luo

Ruobin Gao

Hsiao-Hwa Chen

Shuyi Chen

Qing Guo

...

2023

Online learning using deep random vector functional link network

Engineering Applications of Artificial Intelligence

Sreenivasan Shiva

Minghui Hu

Ponnuthurai Nagaratnam Suganthan

2023/10/1

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption

Engineering Applications of Artificial Intelligence

Yuan-Zhen Li

Kaizhou Gao

Lei-Lei Meng

Ponnuthurai Nagaratnam Suganthan

2023/11/1

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms

Swarm and Evolutionary Computation

Zhongqiang Ma

Guohua Wu

Ponnuthurai N. Suganthan

Aijuan Song

Qizhang Luo

2023

A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

arXiv preprint arXiv:2304.04022

Yangyang Guo

Hao Wang

Lei He

Witold Pedrycz

PN Suganthan

...

2023/4/8

An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization

Information Sciences

Heba Abdel-Nabi

Mostafa Z Ali

Arafat Awajan

Rami Alazrai

Mohammad I Daoud

...

2023/5/1

Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images

M Tanveer

Shradha Verma

Rahul Sharma

Tripti Goel

PN Suganthan

2023/6/18

Scheduling eight-phase urban traffic light problems via ensemble meta-heuristics and Q-learning based local search

IEEE Transactions on Intelligent Transportation Systems

Zhongjie Lin

Kaizhou Gao

Naiqi Wu

Ponnuthurai Nagaratnam Suganthan

2023/8/16

A Hybrid Algorithm for Urban LULC Change Detection for Building Smart-city by Using WorldView Images

IETE Journal of Research

Ramen Pal

Somnath Mukhopadhyay

Debasish Chakraborty

Ponnuthurai Nagaratnam Suganthan

2023/9/29

Dynamic ensemble deep echo state network for significant wave height forecasting

Applied Energy

Ruobin Gao

Ruilin Li

Minghui Hu

Ponnuthurai Nagaratnam Suganthan

Kum Fai Yuen

2023/1/1

Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems

Applied Soft Computing

Liang Wang

Kaizhou Gao

Zhongjie Lin

Wuze Huang

Ponnuthurai Nagaratnam Suganthan

2023/11/1

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests

Swarm and Evolutionary Computation

Kenneth V Price

Abhishek Kumar

Ponnuthurai N Suganthan

2023/4/1

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

Information Sciences

Ruilin Li

Ruobin Gao

Ponnuthurai Nagaratnam Suganthan

2023/5

IF2Net: Innately Forgetting-Free Networks for Continual Learning

arXiv preprint arXiv:2306.10480

Depeng Li

Tianqi Wang

Bingrong Xu

Kenji Kawaguchi

Zhigang Zeng

...

2023/6/18

An enhanced ensemble deep random vector functional link network for driver fatigue recognition

Engineering Applications of Artificial Intelligence

Ruilin Li

Ruobin Gao

Liqiang Yuan

PN Suganthan

Lipo Wang

...

2023/8/1

Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling

IEEE Transactions on Aerospace and Electronic Systems

Yanjie Song

Junwei Ou

Ponnuthurai Nagaratnam Suganthan

Witold Pedrycz

Qinwen Yang

...

2023/9/6

Ensemble Deep Random Vector Functional Link Neural Network for Regression

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Minghui Hu

Jet Herng Chion

Ponnuthurai Nagaratnam Suganthan

Rakesh Kumar Katuwal

2022/11/10

See List of Professors in R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub) University(Nanyang Technological University)

Co-Authors

H-index: 138
Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

H-index: 122
Xin Yao

Xin Yao

University of Birmingham

H-index: 99
Gehan Amaratunga

Gehan Amaratunga

University of Cambridge

H-index: 84
Quan-ke pan

Quan-ke pan

Northeastern University, China

H-index: 83
Swagatam Das

Swagatam Das

Indian Statistical Institute

H-index: 77
Qingfu Zhang

Qingfu Zhang

City University of Hong Kong

academic-engine