Subrota Kumar Mondal

Assistant Professor Subrota Kumar Mondal

Faculty of Information Technology

 

Office: A322

Tel.: +853-8897 3007

E-mail: skmondal@must.edu.mo

Academic Qualification:

Ph.D. in Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), Hong Kong

B.Sc. in Computer Science and Engineering, Khulna University of Engineering and Technology (KUET), Bangladesh

Teaching Area

Software Engineering, Operating Systems, Data Science

Research Area

Cloud Computing, Networks and Distributed Sytems, Automated Program Repair, Cyber Security, Performance and Dependability Evaluation.

Blockchain, Deep Learning, Natural Language Processing.

Working Experience
  • Sep 2018 - Present, Assistant Professor, Macau University of Science and Technology, Macao, China
  • Sep 2017 - Aug 2018, Postdoctoral Fellow, The Hong Kong Polytechnic University, Hong Kong, China
  • Dec 2016 - Aug 2017, Software Developer, iSunCloud Limited, Hong Kong, China
  • Sep 2015 - Nov 2016, Instructional Assistant, HKUST, Hong Kong, China
  • Sep 2011 - Aug 2015, Research Assistant and Teaching Assistant, HKUST, Hong Kong, China
  • Jun 2013 - Aug 2013, Summer Intern, Infosys Lab, India
  • Apr 2009 - Aug 2011, Lecturer, Pabna University of Science and Technology (PUST), Bangladesh
  • Jan 2008 - Mar 2009, Services Engineer, LM Ericsson Bangladesh Limited, Bangladesh

Academic Publication (selected)

  1. Mondal, S. K., Pan, R., Kabir, H. D., Tian, T., & Dai, H. N., “Kubernetes in IT administration and serverless computing: An empirical study and research challenges”, The Journal of Supercomputing, 1-51, 2021 (Impact Factor - 2.474).
  2. Zhang, Z., Dai, H. N., Zhou, J., Mondal, S. K., García, M. M., & Wang, H., ”Forecasting Cryptocurrency Price Using Convolutional Neural Networks with Weighted and Attentive Memory Channels”, Expert Systems with Applications, 115378, 2021 (Impact Factor - 6.954).
  3. Kabir, H.D., Khosravi, A., Mondal, S.K., Rahman, M.M., Nahavandi, S. and Buyya, R., “Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions”, ACM Computing Surveys (CSUR) 2021 (Impact Factor - 7.990).
  4. Sabyasachi, A. S., Kabir, H. M. D., & Mondal, S. K., (2021, March). “Dynamic Spot Pricing and Instance Acquisition in Public Clouds.”, In 2020 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2020.
  5. Mondal, S.K., Sahoo, JP., Wang J., Mondal, K., & Rahman, M., “Fake News Detection exploiting TF-IDF Vectorization with Ensemble learning Models.”, Advances in Distributed Computing and Machine Learning. Springer, Singapore, 2021.
  6. Mondal, S. K., Pei, Y., Dai, H. N., Kabir, H M D., & Sahoo, J. P. (2020, Dec). Boosting UI Rendering in Android Applications. In 2020 IEEE International Conference on Software Quality, Reliability and Security (QRS)-Industry Track, IEEE.
  7. Chang, N., Wang, L., Pei, Y., Mondal, S. K., & Li, X. (2018, July). Change-Based Test Script Maintenance for Android Apps. In 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) (pp. 215-225). IEEE.
  8. Sabyasachi, A. S., Kabir, H. M. D., Abdelmoniem, A. M., & Mondal, S. K. (2017, September). A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. In Reliable Distributed Systems (SRDS), 2017 IEEE 36th Symposium on (pp. 247-249). IEEE.
  9. Mondal, S.K., Sabyasachi, A. S., & Muppala, J. K. (2017, January). On Dependability, Cost and Security Trade-Off in Cloud Data Centers. In Dependable Computing (PRDC), 2017 IEEE 22nd Pacific Rim International Symposium on (pp. 11-19). IEEE, 2017
  10. King-Hang Wang, Mondal, S.K., Ki Chan, and Xiaoheng Xie, A Review of Contemporary E-voting: Requirements, Technology, Systems and Usability, Data Science and Pattern Recognition, vol. 1(1), pp. 31-47, 2017.
  11. Mondal, S.K.; Muppala, J. K.; Machida, F., Virtual Machine Replication on Achieving Energy-Efficiency in a Cloud, Electronics, 5(3), 37, 2016 (Impact Factor - 1.764).
    Mondal, S.K.; Machida, F.; Muppala, J.K., Service Reliability Enhancement in Cloud by Checkpointing and Replication, In Principles of Performance and Reliability Modeling and Evaluation, pp.425-448.Springer International Publishing, 2016.
  12. Mondal, S.K.; Abadhan S. S.; Muppala J. K., On Boosting Cloud Service Dependability through Optimized Checkpointing, 2016 International Conference On Cloud Computing And Big Data (CloudCom-Asia)., The Hong Kong Polytechnic University, Hong Kong, 2016
  13. Mondal, S.K.; Xiaoyan Yin; Muppala, J.K.; Alonso Lopez, J.; Trivedi, K.S., Defects per Million Computation in Service-Oriented Environments, IEEE Transactions on Services Computing, vol.8, no.1, pp.32-46, Jan.-Feb. 2015 (Impact Factor - 5.707)
  14. Mondal, S.K.; Muppala, J.K.; Trivedi, K.S., Defects Per Million (DPM): A user-oriented perspective of telecommunication systems, Globecom Workshops (GC Wkshps), 2014 , vol., no., pp.711-716, 8-12 Dec. 2014
  15. Mondal, S.K.; Muppala, J.K., Energy Modeling of Virtual Machine Replication Schemes with Checkpointing in Data Centers, Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on , vol., no., pp.633-640, 3-5 Dec. 2014
  16. Mondal, S.K.; Muppala, J.K.; Machida, F.; Trivedi, K.S., Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication, Dependable Computing (PRDC), 2014 IEEE 20th Pacific Rim International Symposium on , vol., no., pp.161-168, 18-21 Nov. 2014
  17. Mondal, S.K.; Muppala, J.K., Energy Modeling of Different Virtual Machine Replication Schemes in a Cloud Data Center, Internet of Things(iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE , vol., no., pp.486-493, 1-3 Sept. 2014
  18. Mondal, S.K.; Muppala, J.K., Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing, Dependable Systems and Networks (DSN), 2014 44th Annual IEEE/IFIP International Conference on , vol., no., pp.672-677, 23-26 June 2014
Professional Certification and Awards
  • Certified Kubernetes Administrator (CKA), Cloud Native Computing Foundation (CNCF), The Linux Foundation, 2020
  • Certified Kubernetes Application Developer (CKAD), Cloud Native Computing Foundation (CNCF), The Linux Foundation, 2020

Professional Society Membership

Member, Institute of Electrical and Electronics Engineers (IEEE)

Faculty Staff