Curriculum Vitae

DR. BRYAN RAJ A/L PETER JABARAJ

Senior Lecturer
  • Department of Computer System & Technology
    Faculty of Computer Science and Information Technology
  • bryanraj15
  • +603 7967 6377

BIOGRAPHY


Dr. Bryan Raj is a Senior Lecturer at the Department of Computer Syetem and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya since 2023. He earned his PhD in Computing from Universiti Malaya. Dr. Bryan's research focuses on the metaheuristic algorithm and methods to optimize clustering in Wireless Sensor Networks. His publications are on high impact jornal such as IEEE Access. Besides researches and academic successes, he is also a certified Microsoft Azure Administrator.

He is currently working on a research that is related to precision agriculture using wireless sensor networks. Currently he is also venturing into the dynamicity of metaheuristic algorithms in optimization of clustering and routing.

AREAS OF EXPERTISE


  • CLUSTERING AND ROUTING
  • ALGORITHMS AND TECHNIQUES

ACADEMIC QUALIFICATION


  • Doctoral Degree (PhD)
    Universiti Malaya (UM)
  • BACHELOR OF COMPUTER SCIENCE (COMPUTER SYSTEM AND NETWORK) PASS WITH HONOURS (WITH DISTINSTION), (COMPUTER SYSTEM AND NETWORK)
    Universiti Malaya (UM)

ADMINISTRATIVE DUTIES


  • Task Force Member
    19 Jul 2024 - 18 Jul 2026 (University Malaya)
  • Task Force Member
    22 Jan 2024 - 31 Dec 2024 (Department of Computer System & Technology, Faculty of Computer Science and Information Technology)
  • Task Force Member
    01 Jan 2024 - 31 Dec 2024 (Department of Computer System & Technology, Faculty of Computer Science and Information Technology)
  • Task Force Member
    03 Sep 2024 - 03 Sep 2024 (University Malaya)
  • Advisor and Coordinator for "Hari STK"
    10 Nov 2023 - 10 Nov 2023 (Department)

PUBLICATIONS


Article in Journal
WoS
  1. Raj, Bryan; Ahmedy, Ismail; Idris, Mohd Yamani Idna; Md. Noor, Rafidah (2022). A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks, WIRELESS COMMUNICATIONS & MOBILE COMPUTING. 2022. doi:10.1155/2022/5322649
  2. Raj, Bryan; Ahmedy, Ismail; Idris, Mohd Yamani Idna; Noor, Rafidah Md (2022). A Hybrid Sperm Swarm Optimization and Genetic Algorithm for Unimodal and Multimodal Optimization Problems, IEEE ACCESS. 10, 109580-109596. doi:10.1109/ACCESS.2022.3208169

RESEARCH PROJECT


National
  1. 2024 - 2026, UNIVERSITI MALAYA RESEARCH EXCELLENCE GRANT (UMREG)
    Anomaly Detection Using Hybrid Swarm Intelligence and Evolutionary Algorithms in Wireless Sensor Networks ( Principal Investigator(PI))

SUPERVISION


Postgraduate Student
  1. (2024) TECHNIQUES AGAINST SECURITY RISKS UNDER CYBER ATTACKS ON IOT BASED WSNS, ARWA ABDULLAH A ALSHAYA
  2. (2024) ANOMALY DETECTION USING HYBRID SWARM INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN WIRELESS SENSOR NETWORKS, MAIDUL HASAN MASUM
  3. (2024) OUTBOUND SHIPMENT FORECAST USING MACHINE LEARNING: A CASE STUDY, YAN YEN WEI
Under Graduate Students
  1. (2024) Smart Staff Parking Barrier System
  2. (2024) Intrusion Detection System for Wireless Sensor Networks (Subtitle: Web Application)
  3. (2024) Intrusion Detection System for Wireless Sensor Networks (Subtitle: IoT/IDS Key Components)
  4. (2024) Environmental Monitoring System for Data Centers (Subtitle: Mobile App)
  5. (2024) Environmental Monitoring System for Data Centers (Subtitle: IoT/Infrastructure)
  6. (2024) Enhanced Security and Authentication for Wireless Sensor Networks via Mobile App (Subtitle: Mobile App)
  7. (2024) Enhanced Security and Authentication for Wireless Sensor Networks via Mobile App (Subtitle: IoT/Infrastructure)

COURSE ATTENDED


Internal / External Course
INTERNAL COURSE- ORGANIZED BY PTJ
  1. EMERALD RESEARCH AND SUPERVISION 2023, Universiti Malaya (15 Aug 2023 - 17 Aug 2023)
  2. EMERALD TEACHING AND LEARNING 2023, Universiti Malaya (07 Aug 2023 - 11 Aug 2023)
INTERNAL COURSE
  1. CHATGPT, Secara Online (18 Jan 2024 - 18 Jan 2024)
External Course
NATIONAL
  1. AZ-104: Microsoft Azure Administrator, Zoom Online (05 Sep 2023 - 08 Sep 2023)