Dr Mohsen Marjani

Dr. Mohsen Marjani has received his degree of Master of Information in Multimedia Computing from Multimedia University (MMU) in 2011, Malaysia and Doctor of Philosophy (Ph.D.) degree in Computer Science from the University of Malaya (UM), Malaysia. Currently, He is a lecturer at the Department of Computing and IT, Taylor’s University, Selangor, Malaysia. Dr. Mohsen has published a number of research articles in refereed international journals. He started teaching (mostly Mathematics and IT-based subjects) since mid-1999 in different public, and private institutions including universities, pre-universities, high schools, and primary schools. He also was conducting IT courses for teachers of the Organization of the Education of Iran (Region 4 of Tehran) for about 2 years. Dr. Mohsen has experience of collaborating with and working for a number of IT companies as IT consultant, senior web and mobile developer, tech lead, project manager, and CTO. He was involved in a variety of IT-based projects in the past years. His area of interest includes Big Data, Data Analytics, Machine Learning, IoT, and Distributed Computing.

He can be contacted at mohsen.marjani@taylors.edu.my, marjanimohsen@gmail.com, or marjanimohsen@yahoo.com, for further information.


Academic Qualification

  • Doctor of Philosophy (Computer Science), UNIVERSITY OF MALAYA, Malaysia
  • Master of Science, MULTIMEDIA UNIVERSITY, Malaysia
  • Bachelor of Science, ISLAMIC AZAD UNIVERSITY, Islamic Republic of Iran

Professional Qualification

No records found

Areas of Expertise

  • Information, Computer And Communication Technology (Ict), Machine Learning, Machine Learning
  • Information, Computer And Communication Technology (Ict), Internet of Things , IoT
  • Information, Computer And Communication Technology (Ict), Big Data, Big Data Analytics
  • Information, Computer And Communication Technology (Ict), Database Technology, Database
  • Information, Computer And Communication Technology (Ict), Information Systems, Management Information System

Research Interest

  • Big Data Management Information System Database System Cloud Computing Data Analytics Internet of Things Image Processing Machine Learning

Publications

2020
  • Profiling Users Behavior, and Identifying Important Features of Review Helpfulness (ISI-Indexed), IEEE ACCESS - Article in Journals
2019
  • Profiling and Predicting the Cumulative Helpfulness (Quality) of Crowd-Sourced Reviews (ISI-Indexed), Information - Article in Journals
  • Internet of things, Cloud computing, autonomous and robotics systems, Big Data analytics, augmented reality, cyber security, simulation, system integration, and additive manufacturing - Book Chapter
  • Predicting Elections: Social Media Data and Techniques (SCOPUS-Indexed), 2019 International Conference on Engineering and Emerging Technologies (ICEET) - Article in Journals
  • Social Profiling: A Review, Taxonomy and Challenges (ISI-Indexed), Cyberpsychology, Behavior, and Social Networking - Article in Journals
2018
  • MapReduce scheduling algorithms: a review, The Journal of Supercomputing - Article in Journals
  • Multi-objective scheduling of MapReduce jobs in big data processing (ISI-Indexed), Multimedia Tools and Applications - Article in Journals
  • Measuring transaction performance based on storage approaches of Native XML database (ISI-Indexed), Measurement - Article in Journals
  • Credit Card Fraud Detection Using Deep Learning Techniques: A Comparative Study, ICACCA2018 Conference - Article in Journals
  • A Study on Detection and Monitoring of Water Quality and Flow, 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), IEEE - Article in Journals
2017
  • Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (ISI-Indexed), IEEE ACCESS - Article in Journals
2016
  • A survey of big data management: taxonomy and state-of-the-art (ISI-Indexed), Journal of Network and Computer Applications - Article in Journals

Research

  • Application of Data Mining Method Based on Deep Learning in CRM: A Case Study,  Sub-Project Leader2018 to 2020, Private
  • Modeling and Analysis of State-Of-The-Art Deep Learning Models for Big Data Analytics,  Co-researcher2018 to 2019, Taylor's University
  • Modelling and visualization of air pollution and its impact on health,  Co-researcher2017 to 2020, Taylor's University

Awards and Stewardship

No records found

Paper Presented

  • A Data Science Methodology for Internet-of-Things, International Conference for Emerging Technologies in Computing iCETiC 2019 (CONFERENCE), ORAL PRESENTER , 19/08/2019 to 20/08/2019
  • A Data Science Methodology for Internet-of-Things, Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA 2018) (CONFERENCE), ORAL PRESENTER , 26/10/2018 to 28/10/2018