Education (Technical)

• Doctor of Philosophy (PhD) titled “Service Oriented Approach to High Performance Scientific Computing” at the Research School of Computer Science, Australian National University (ANU).
• Master of Applied Sciences (Information Systems), RMIT University, Melbourne, Australia. Cumulative GPA of 3.5/4
• Bachelor of Technology (Civil Engineering) from Mahatma Gandhi University, Kerala, India.

Education (Other)

• Bachelor of Theology from DVK Pontifical Athenaeum, Bangalore, India (First Rank).
• Bachelor of Philosophy from DVK Pontifical Athenaeum, Bangalore, India (Third Rank).

Research Interests

• High performance computing and cloud computing
• Data sciences and analytics
• Machine learning and deep learning
• Blockchain and web 3.0
• Geographic information systems
• Smart city technologies and intelligent transport systems
• Service-oriented architecture middleware for scientific applications

Research Interests & Funded Projects

Technical Skills

• High-level programming skills in MPI, OpenMP, CUDA, C, C++, and Python
• Comfortable level of skills in object-oriented programming languages like Java
• High research-related skills like LaTeX, plot, gnuplot, scripts, etc.

Publications

• Jaison Mulerikkal, Sajanraj Thandassery, Deepa Merlin Dixon K, Vinith Rejathalal, and Binu Ayyappan, “JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems,” IEEE Transactions on Intelligent Transportation Systems, 01 July 2021, Pages 1-11 (DOI: https://doi.org/10.1109/TITS.2021.3091542) (SCIE & SCOPUS Indexed).
• Jaison Mulerikkal, Sajanraj Thandassery, Vinith Rejathalal, Deepa Merlin Dixon K, “Performance Improvement for Metro Passenger Flow Forecast using Spatio-Temporal Deep Neural Network,” Neural Computing and Applications (NCAA), 27 September, 2021 (DOI: https://doi.org/10.1007/s00521-021-06522-5) (SCIE & SCOPUS Indexed).
• Sajanraj T D, Jaison Paul Mulerikkal, Raghavendra S, Vinith Rejathalal, Vit Fabera, “Passenger Flow Prediction from AFC Data Using Station Memorizing LSTM for Metro Rail Systems,” Neural Network World, Czech Republic, Volume 31, March 2021 (DOI: https://doi.org/10.14311/NNW.2021.31.009) (SCIE & SCOPUS Indexed).
• S. Markkandan, S. Sivasubramanian, Jaison Mulerikkal, Nazeer Shaik, Beulah Jackson, Lakshmi Narayanan, “Massive MIMO Codebook Design Using Gaussian Mixture Model Based Clustering,” Intelligent Automation & Soft Computing, Vol.32, No.1, 2022 (Published on: 26 October 2021), pages: 361-375, (Impact Factor 1.647) (DOI: https://doi.org/10.32604/iasc.2022.021779). (SCIE & SCOPUS Indexed).
• Satish Sampatrao Salunkhe, Aarti Amod Agarkar, Mandar Karyakarte, Jaison Mulerikkal, Prathiba Jonnala and Divyendu Kumar Mishra, “Integrated Agriculture IoT based Farm Monitoring and Management Systems,” International Journal of Nanotechnology (Published – Online First at: https://www.inderscience.com) (SCIE & SCOPUS Indexed).
• Jaison Paul Mulerikkal, Sminu Izudheen, Thomas P. J, “Introducing HPC and Related Technologies Education in a Higher Education Institute in India,” Review of International Geographical Education (RIGEO), 11(8), 851-863 (Published on 24-10-2021) (DOI: https://doi.org/10.48047/rigeo.11.08.74) (SCOPUS Indexed).
• Abhinand A, Jaison Mulerikkal, Anil Antony, Aparna P.A, and Anu C Jaison, “Detection of Moving Objects in a Metro Rail CCTV Video using YOLO Object Detection Models,” In: Data Management, Analytics and Innovation, Lecture Notes on Data Engineering and Communications Technologies, vol 70, Springer, Singapore. (SCOPUS Indexed) (DOI: https://doi.org/10.1007/978-981-16-2934-1_12).
• Sminu Izudheen, Jaison Mulerikkal, Mahima Jojee John, Malavika K, Jesmin Joshy, and Gabriel M Beveira, “Short-Term Passenger Count Prediction for Metro Stations using LSTM Network,” Turkish Journal of Computer and Mathematics Education, Vol.12 No.3 (2021), 4026-4034 (SCOPUS) (DOI: https://doi.org/10.17762/turcomat.v12i3.1693).
• Sampathkumar A, Mulerikkal Jaison, Sivaram M, “Glowworm Swarm Optimization for Effectual Load Balancing and Routing Strategies in Wireless Sensor Networks,” Wireless Networks, 26, 4227–4238 (2020) (SCIE & SCOPUS Indexed) (DOI: https://doi.org/10.1007/s11276-020-02336-w).
• Sumini Mani V., Jaison Mulerikkal, Ramkumar P.B, Tharakan Paulsy, “Fuzzy Concepts and Machine Learning Algorithms for Car Park Occupancy and Route Prediction,” In: Communication and Intelligent Systems, ICCIS 2019, Lecture Notes in Networks and Systems, vol 120, Springer, Singapore (April 2020) (SCOPUS Indexed) (DOI: https://doi.org/10.1007/978-981-15-3325-9_3).
• Sumini Mani V, Jaison Mulerikkal, Ramkumar P B, Jarin T, “Intelligent Parking Management System using Dijkstra’s Algorithm with Driver Preferences,” Test Engineering & Management Journal, Volume 82, Issue: January – February 2020, Pages: 9186 – 9194. (SCOPUS Indexed).
• Sona C P and Jaison Mulerikkal, “Performance Comparison of Distributed Pattern Matching Algorithms on Hadoop MapReduce Framework,” 9th EAI International Conference on Mobile Networks and Management, December 13–15, 2017, Melbourne, Australia, Springer LNICST (SCOPUS Indexed) (DOI: https://doi.org/10.1007/978-3-319-90775-8_4).
• Emmanu Varghese, Jaison Mulerikkal, and Amitha Mathew, “Anomaly Detection in Confined Areas,” 7th International Conference on Advances in Computing & Communications 2017, 22-24 August 2017, Kochi (SCOPUS Indexed) (DOI: https://doi.org/10.1016/j.procs.2017.09.104).
• Jaison Mulerikkal, Yedhu Sastri, “OpenStack and CloudStack Private Cloud Installations - Performance Evaluation and Analysis,” IEEE International Conference on Advances in Computing and Communications, Kochi, India, 2015 (DOI: https://doi.org/10.1109/ICACC.2015.110).
• Preeth Eranholinalupurakal, Jaison Mulerikkal, Biju Paul, and Yedhu Sastri, “Evaluation of Docker Containers Based on Hardware Utilization,” IEEE International Conference on Control, Communication and Computing, College of Engineering, Thiruvananthapuram, 2015 (DOI: https://doi.org/10.1109/ICCC.2015.7432984).
• Jaison Mulerikkal, Peter Strazdins, and Boby Thekkanath, “Enabling SOA approach for High Performance Cloud Computing using an Efficient Data Service,” IEEE Asia Pacific Cloud Computing Congress, November 2012, Shenzhen, China (DOI: https://doi.org/10.1109/APCloudCC.2012.6486517).
• Jaison Mulerikkal, Peter Strazdins, “Efficient Data Service Design for a SOA Approach to Scientific Computing,” IASTED International Conference on Parallel and Distributed Computing and Networks, Feb 2011, Innsbruck, Austria (DOI: https://doi.org/10.2316/P.2011.719-059).
• Jaison Mulerikkal, Peter Strazdins, “An SOA Approach to High Performance Scientific Computing Early Experiences,” International Conference on High Performance Computing (HiPC), Dec. 2010, Goa (DOI: https://doi.org/10.1109/HIPC.2010.5713179).
• Jaison Mulerikkal, Peter Strazdins, “Service Oriented Approach to High Performance Scientific Computing,” IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 17-20, 2010, Melbourne (DOI: https://doi.org/10.1109/CCGRID.2010.93).
• Jaison Mulerikkal, Ibrahim Khalil, “An Architecture for Distributed Content Delivery Network,” IEEE International Conference on Networks ICON 2007, Adelaide, Australia from 19-21 November 2007 (DOI: https://doi.org/10.1109/ICON.2007.4444113).
• Jaison Mulerikkal, Ibrahim Khalil, “An End-Systems Supported Highly Distributed Content Delivery Network,” Distributed Computing and Internet Technology (ICDCIT 2007), Lecture Notes in Computer Science, vol 4882, Springer, Berlin, Heidelberg (DOI: https://doi.org/10.1007/978-3-540-77115-9_18).

PhD Scholar Details

Profiles

• Vidwan Profile
• IRNIS Profile
• Orchid ID
• Google Scholar ID (h index = 10; i10 index = 10)