Curriculum Vitae

DR. SHAPLA KHANAM

Senior Lecturer
  • Department of Artificial Intelligence
    Faculty of Computer Science and Information Technology
  • shapla.k

BIOGRAPHY

Dr. Shapla Khanam is a renowned academician and researcher celebrated for her substantial contributions to Cybersecurity and AI. Dr. Khanam is currently a Senior Lecturer at the Department of Artificiall Intelligence (AI), Faculty of Computer Science and Information Technology at University of Malaya (UM), in Malaysia. Previously, she held the position of Senior Lecturer at HELP university and  Assistant Professor at two different universities in Bangladesh. Additionally, she has worked as a Research Assistant at the University of Malaya (UM), a Lecturer, and an Application Engineer at Atlassian (an Australlian owned IT company) in Malaysia.

Dr. Khanam earned her Ph.D. in Cybersecurity of Internet of Things using Deep Learning and her M.Eng. in Telecommunications Engineering from UM. She obtained her B.Sc. in Computer Science from the International Islamic University Malaysia (IIUM). Throughout her career, Dr. Khanam has actively contributed to various roles within professional organizations, notably serving as Vice-Chair of IEEE-UM and as Chair of the IEEE Women in Engineering (WIE) affinity group at UM. Dr. Khanam has authored numerous articles published in reputable international Q1-rated journals and has presented various research ideas at conferences.

Her research interests span several areas, including:

  • Cyberssecurity, Intrusion Detection, Network Security
  • Artificial Intelligence, Machine Learning, Deep Learning
  • IoT, WSNs



AREAS OF EXPERTISE

  • COMPUTER INTRUSION DETECTION AND PREVENTION SYSTEM
    Applied Science And Technology, Information And Communication Technology (ict), Digital And Cyber Security
  • NEURAL NETWORK FOR MACHINE LEARNING
    Applied Science And Technology, Information And Communication Technology (ict), Artificial Intelligence And Machine Learning

ACADEMIC QUALIFICATION

  • IJAZAH DOKTOR FALSAFAH (SAINS KOMPUTER) (AWARDED), (Computer Science)
    Universiti Malaya (UM)

MEMBERSHIPS

  • IEEE MEMBER, MEMBER
    2017 to 2022 (International)

AWARD AND STEWARDSHIP

  • Outstanding Service as Reviewer
    2024, SITWE, 2024, MMU, International
  • BEST PRESENTER AWARD
    2024, SITWE 2024, International
  • Best Paper Award
    2020, ICCECN, UM, IEEE-UM,  (International)

PUBLICATIONS

Article in Journal
WoS
  1. Khanam, Shapla; Ahmedy, Ismail; Idris, Mohd Yamani Idna; Jaward, Mohamed Hisham (2022). Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT), SENSORS. 22(15). doi:10.3390/s22155822
  2. Khanam, S., Bin Ahmedy, I., Idris, M. Y. I., Jaward, M. H., & Sabri, A. Q. B. (2020). A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things. IEEE Access, 8, 219709-219743. doi: 10.1109/access.2020.3037359
Scopus
  1. Khanam S., Ahmedy I., Idris M.Y.I., Jaward M.H. (2022). Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT), Sensors (Basel, Switzerland). 22(15). doi:10.3390/s22155822
  2. Khanam, S., Ahmedy, I. B., Idna Idris, M. Y., Jaward, M. H., & Bin Md Sabri, A. Q. (2020). A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things. Ieee Access, 8, 219709-219743. doi: 10.1109/ACCESS.2020.3037359
Others
  1. Faruqui, N., Raju, N. V. D. S. S. V. P., Sivakumar, S., Patel, N., Vengaramkode Bhaskaran, S., Khanam, S., & Bhuiyan, T. (2025). Gen-optimizer: A generative AI framework for strategic business cost optimization. Computers, 14(2), 59.
  2. PALANIAPPAN, S., LOGESWARAN, R., YONG, Y., KHANAM, S., & SAW, Y. (2024). NURTURING CREATIVITY AND INNOVATION IN STUDENTS: EMBRACING HOLISTIC APPROACHES THROUGH BRAIN HEMISPHERES, HEART-BRAIN COHERENCE, AND CARDIOGNOSIS. SEMARAK INTERNATIONAL JOURNAL OF APPLIED PSYCHOLOGY : Akademia Baru Publishing, 4(1), 17-34.
  3. Palaniappan, S., Logeswaran, R., Khanam, S., & Gunawardhana, P. (2025). Social engineering threat analysis using large-scale synthetic data. Journal of Informatics and Web Engineering, 4(1), 70-80.
  4. Palaniappan, S., Logeswaran, R., Khanam, S., & Yujiao, Z. (2025). Machine learning model for predicting net environmental effects. Journal of Informatics and Web Engineering, 4(1), 243-253.
  5. Faruqui, N., Thatoi, P., Choudhary, R., Roncevic, I., Alqahtani, H., Sarker, I. H., & Khanam, S. (2024). AI-analyst: An AI-assisted SDLC analysis framework for business cost optimization. IEEE Access, 12, 195188-195203.
  6. Mia, R., Khanam, S., Mahjabeen, A., Ovy, N. H., Ghimire, D., Park, M. J., ... & Hosen, A. S. (2024). Exploring machine learning for predicting cerebral stroke: a study in discovery. Electronics, 13(4), 686.
Chapter in Books
  1. Pathan, A. S. K., Khanam, S., Saleem, H. Y., & Abduallah, W. M. (2013). Tackling Intruders in Wireless Mesh Networks. Distributed Network Intelligence, Security and Applications. CRC Press, Taylor & Francis Group.
Article in Proceeding
  1. Hossain, S., and Khanam, S. (2024). AI in Higher Education: University Students' Engagement with Chatbots and Literacy Impact (Paper Presentation). American Educational Research Association (AERA) Annual Meeting. 11-14 April 2024. Philadelphia, PA.
  2. Khanam, S., Ahmedy, I., & Idris, M. Y. I. (2020, August). Performance evaluation of weighted fair queuing model for bandwidth allocation. In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 1 (pp. 175-183). Singapore: Springer Singapore.
  3. Khanam, S., Ahmedy, I., & Idris, M. Y. I. An Enhanced Mechanism to Defend Selective Forwarding Attacks in IoT. International Conference on Communication, Electrical and Computer Networks (ICCECN-2020). 1st-2nd February 2020. Kuala Lumpur, Malaysia.
  4. Hindia, M., Khanam, S., Reza, A., & Latef, T. (2015, February). Investigation of frequency reuse techniques for LTE networks. In The 2nd International Conference on Mathematical Sciences & Computer Engineering (ICMSCE) (Vol. 2, pp. 1-6).
  5. Khanam, S., Saleem, H. Y., & Pathan, A. S. K. (2012, November). An efficient detection model of selective forwarding attacks in wireless mesh networks. In International Conference on Internet and Distributed Computing Systems (pp. 1-14). Berlin, Heidelberg: Springer Berlin Heidelberg.

CONSULTANCY PROJECT

  • Mobius Data Science Project, HELP University, Consultant
    03 Apr 2025 - 30 Oct 2025 (University)

PAPER PRESENTED

INVITED SPEAKER
  1. Machine learning model for predicting net environmental effects, 2nd International Symposium on Information Technology and Web Engineering (SITWE 2025), MMU (International) (11 Sep 2025 - 12 Sep 2025)
ORAL PRESENTER
  1. Social engineering threat analysis using large-scale synthetic data, 2nd International Symposium on Information Technology and Web Engineering (SITWE 2025), MMU (International) (11 Sep 2025 - 12 Sep 2025)
  2. Machine learning model for predicting net environmental effects, 1st International Symposium on Information Technology and Web Engineering. (SITWE 2024), MMU (International) (23 Oct 2024 - 24 Oct 2024)
  3. Performance Evaluation of Weighted Fair Queuing Model for Bandwidth Allocation, International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, University of Delhi (International) (21 Feb 2020 - 23 Feb 2020)
  4. An Enhanced Mechanism to Defend Selective Forwarding Attacks in IoT, International Conference on Communication, Electrical and Computer Networks (ICCECN-2020), UM (International) (01 Feb 2020 - 02 Feb 2020)
KEYNOTE SPEAKER
  1. AI AS BOTH WEAPON AND DEFENSE : The Rise of Autonomous AI in Cybersecurity, International Conference on Emerging Technologies in Computing, Artificial Intelligence, Information Systems & Cybersecurity (ICETCAI 2026), Guru Nanak Dev Engineering College (International) (24 Apr 2026 - 25 Apr 2026)

ACADEMIC/ PROF. SERVICES

Evaluation
  1. (2023) Reviewer of Plos One Journal, International, (Reviewer)
  2. (2021) Reviewer of Jordanian Journal of Computers and Information Technology Journal, International, (Reviewer)
  3. (2021) Reviewer of IEEE Access Journal, International, (Reviewer)
  4. (2021) Reviewer of IEEE Access Journal, International, (Reviewer)
  5. (2021) Reviewer of Plos One Journal, International, (Reviewer)
  6. (2021) Reviewer of IEEE Access Journal, International, (Reviewer)
  7. (2020) Reviewer of IEEE Access Journal, International, (Reviewer)
  8. (2020) Reviewer of IEEE Access Journal, International, (Reviewer)
  9. (2020) Reviewer of IEEE Access Journal, International, (Reviewer)
Contribution to event
  1. (2026) 2026 Aua-UM Postgraduate Academic Forum On Ai-powered Insights: The New Era of Data-driven Intelligence, International, (Panelist/Moderator)
  2. (2023) Convener, Cyber Security Awareness Day 2023, National, (Event Organiser)
  3. (2023) 2nd International Conference On Big Data, Iot and Machine Learning, International, (Panelist/Moderator)
  4. (2022) Meeting Space Coordinator At 2022 International Collegiate Programming Contest (icpc) World Finals, International, (Event Coordinator)

SUPERVISION

Postgraduate Student
Master
  1. (2025) Interpretable Machine Learning for Volatile Elections: A Framework for Forecasting and Interpreting Electoral Dynamics, SH Wong (Help University)
  2. (2025) Comparative Analysis of Property Price Changes: Proximity to Railway Stations in Klang Valley, Malaysia, Ivan Chow (Help University)
  3. (2025) A study on the Willingness of Individuals in Utilizing Digital Banking in Malaysia, NG JIA YING (Help University)
  4. (2024) Targeted Marketing Via Customer Segmentation: Analysis on Corporate Training Participants in Malaysia, Krishnawathy Subramaniam (Help University)
  5. (2024) Investigating Voter Turnout Trends: A Logistic Regression Approach to Malaysia’s General Election., Leong Jin Ran (Help University)