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Computer Science

D-Index
39
Citations
5002
World Ranking
9895
National Ranking
22

Overview

Kok-Lim Alvin Yau is a researcher affiliated with Sunway University in Malaysia, specializing in computer science and engineering. Their work has a particular focus on computer networks and communications, electrical and electronic engineering, and artificial intelligence, with additional interests in information systems and computer vision and pattern recognition.

Their research addresses a range of topics, including:

  • Vehicular Ad Hoc Networks (VANETs)
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • Traffic Prediction and Management Techniques
  • Blockchain Technology Applications and Security
  • Traffic control and management
  • Network Security and Intrusion Detection

Kok-Lim Alvin Yau has published extensively in various scientific venues. Frequent publication outlets include:

  • IEEE Access
  • Applied Sciences
  • Computers, Materials & Continua
  • IEEE Open Journal of the Computer Society
  • Sensors

Recent notable papers authored or co-authored by Kok-Lim Alvin Yau include:

  • "Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology," 2020, IEEE Access
  • "Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships," 2021, Applied Sciences
  • "Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues," 2020, IEEE Open Journal of the Computer Society (co-author)
  • "Deep Reinforcement Learning for Traffic Signal Control: A Review," 2020, IEEE Access (co-author)
  • "Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks," 2020, IEEE Access (co-author)

Throughout their career, Kok-Lim Alvin Yau has collaborated frequently with other researchers. Prominent collaborators include:

  • Celimuge Wu
  • Yung-Wey Chong
  • Rafidah Md Noor
  • Yusheng Ji
  • Xiumei Fan

Best Publications

  • Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Muhammad Usama;Junaid Qadir;Aunn Raza;Hunain Arif

  • Edge Computing in 5G: A Review

    Najmul Hassan;Kok-Lim Alvin Yau;Celimuge Wu

  • Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

    Zhaoyang Du;Celimuge Wu;Tsutomu Yoshinaga;Kok-Lim Alvin Yau

  • 5G-Based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research Directions

    Abdul Ahad;Mohammad Tahir;Kok-Lim Alvin Yau

  • A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control

    Kok-Lim Alvin Yau;Junaid Qadir;Hooi Ling Khoo;Mee Hong Ling

  • QoS in IEEE 802.11-based wireless networks: A contemporary review

    Aqsa Malik;Junaid Qadir;Basharat Ahmad;Kok-Lim Alvin Yau

  • A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges

    Mohammad Asif Hossain;Rafidah Md Noor;Kok-Lim Alvin Yau;Ismail Ahmedy

  • Review: Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology

    Kok-Lim Alvin Yau;Shuhong Peng;Junaid Qadir;Yeh-Ching Low

  • Deep Reinforcement Learning for Traffic Signal Control: A Review

    Faizan Rasheed;Kok-Lim Alvin Yau;Rafidah Md. Noor;Celimuge Wu

  • Application of reinforcement learning to routing in distributed wireless networks: a review

    Hasan A. Al-Rawi;Ming Ann Ng;Kok-Lim Alvin Yau

  • Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer Multipath

    Junaid Qadir;Anwaar Ali;Kok-Lim Alvin Yau;Arjuna Sathiaseelan

  • Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

    Mohammad Asif Hossain;Rafidah Md. Noor;Kok-Lim Alvin Yau;Saaidal Razalli Azzuhri

  • Routing Schemes in FANETs: A Survey

    Muhammad Fahad Khan;Kok-Lim Alvin Yau;Rafidah Md Noor;Muhammad Ali Imran

  • Can an Electronic Textbooks Be Part of K-12 Education?: Challenges, Technological Solutions and Open Issues

    HeeJeong Jasmine Lee;Chris Messom;Kok-Lim Alvin Yau

  • Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships

    Kok-Lim Alvin Yau;Norizan Mat Saad;Yung-Wey Chong

  • A context-aware and Intelligent Dynamic Channel Selection scheme for cognitive radio networks

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues.

    Chunrong Peng;Celimuge Wu;Liming Gao;Jiefang Zhang

  • Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia

    Faizan Rasheed;Kok-Lim Alvin Yau;Yeh-Ching Low

  • Edge computing-based joint client selection and networking scheme for federated learning in vehicular IoT

    Wugedele Bao;Celimuge Wu;Siri Guleng;Jiefang Zhang

  • Applications of Reinforcement Learning to Cognitive Radio Networks

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Clustering algorithms for Cognitive Radio networks

    Kok-Lim Alvin Yau;Nordin Ramli;Wahidah Hashim;Hafizal Mohamad

  • Cognitive Radio-based Wireless Sensor Networks: Conceptual design and open issues

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

Frequent Co-Authors

Junaid Qadir
Junaid Qadir Information Technology University
Rafidah Md Noor
Rafidah Md Noor University of Malaya
Yusheng Ji
Yusheng Ji National Institute of Informatics
Qiang Ni
Qiang Ni Lancaster University
Ala Al-Fuqaha
Ala Al-Fuqaha Western Michigan University
Mubashir Husain Rehmani
Mubashir Husain Rehmani Munster Technological University
Amir Hussain
Amir Hussain Edinburgh Napier University
Jie Li
Jie Li Shanghai Jiao Tong University
Jon Crowcroft
Jon Crowcroft University of Cambridge
Mohammad Kamrul Hasan
Mohammad Kamrul Hasan National University of Malaysia

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