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Fr. Jaison Paul Mulerickal
Ph.D. (High Performance Computing)(Australian National University), MS (Information Systems) (RMIT University, Australia)
Principal
DEPARTMENT OF INFORMATION TECHNOLOGY

He has completed B Tech degree from M A College of Engineering, Kothamangalam (Mahatma Gandhi University) and has graduated from RMIT University, Melbourne, Australia with Master of Applied Science in Information Systems. He has received his PhD in High Performance Scientific Computing from the Australian National University, Canberra. He worked as a computational scientist at the National e-Science Infrastructure at the University of Auckland, New Zealand and his research interests lie in High Performance Computing, Scientific Applications, Cloud Computing, Internet of Things and Smart City Technologies. 

RSET Unique Id: 31197
Area of Interest: High Performance Computing, Scientific Applications, Cloud Computing, Internet of Things, Smart City Technologies and Data Science.
Memberships(If Any) IEEE (Senior Member), IEEE-CS, IEEE-ITSS
ORCID_iD 0000-0002-5266-2159
Google Scholar ID https://scholar.google.com/citations?user=zNRJ7jQAAAAJ&hl=en&authuser=1
Website people.rajagiritech.ac.in/jaisonmpaul
PUBLICATION-CONFERENCE/JOURNAL DETAILS
Year Title of the Paper-Conference/Journal Details
2022 Automatic Detection of Sign Language Fingerspelling on Combined Features and Feature Selection using Improvised Battle Royale Optimisation Algorithm
SSRG International Journal of Electrical and Electronics Engineering
2022 Operational Pattern Forecast Improvement with Outlier Detection in Metro Rail Transport System
Multimedia Tools and Applications
2022 A Path-Depended Passenger Flow Forecasting Model for Metro Rail Systems Using LSTM Neural Network
9th International Conference on Vehicle Technology and Intelligent Transport Systems
2022 A Path-Depended Passenger Flow Forecasting Model for Metro Rail Systems Using LSTM Neural Network
9th International Conference on Vehicle Technology and Intelligent Transport Systems, (VEHITS 2023)SCITEPRr
2022 Operational Pattern Forecast Improvement with Outlier Detection in Metro Rail Transport System
Multimedia Tools and Applications
2021 Glowworm Swarm Optimization for Effectual Load Balancing and Routing Strategies in Wireless Sensor Networks
Wireless Networks
2021 JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems
IEEE Transactions on Intelligent Transportation Systems
2021 Short-Term Passenger Count Prediction for Metro Stations using LSTM Network
Turkish Journal of Computer and Mathematics Education, 2020.
2021 Detection of Moving Objects in a Metro Rail CCTV Video using YOLO Object Detection Models
Transactions of International Conference on Data Management, Analytics & Innovation 2020
2021 Performance Improvement for Metro Passenger Flow Forecast using Spatio-Temporal Deep Neural Network
Neural Computing and Applications (NCAA)
2021 Passenger Flow Prediction from AFC Data Using Station Memorizing LSTM for Metro Rail Systems
Neural Network World, Czech Republic
2014 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.
2014 Jaison Mulerikkal, Yedhu Sastri, Binu A and Jomina John, "Private Cloud Test Cluster Installation at RSET using OpenStack", Department Documentation, CS&IT, RSET
2014 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 (ICCC , November 19-21, 2015), College of Engineering, Thiruvananthapuram