About Shahaboddin Shamshirband
He is also (1) Adjunct Professor at TON DUC THANG University, Vietnam, (2) Adjunct Faculty at Iran Science and Technology University, IRAN, (3) Academic faculty at IAUC, IRAN, (4) Faculty member at University of Malaya, Malaysia and (5) PostDoc research fellow. He received his Ph.D in computer science. from University of Malaya (Kuala Lumpur, Malaysia) and MSc in Artificial Intelligence. He has published more than 200 papers, in refereed international SCI-IF journals (100), international conference proceedings (25), books (10) with more than 3000 citations in Google Scholar (with h-index of 29), and ResearchGate RG Score of 47. He has worked on various funded projects, with grants worth more than 50000 USD. He is on the editorial board of journals and has served as Guest Editor for journals. His major academic interests are in Computational Intelligence, Data mining in multidiciplinary fields. His articles are ranked in the highly cited papers and most downloaded papers from the top 10 % (2013 till now) in Computer Science according to the WoS.
Big Data, Machine Learning, Computational Intelligence, Game theory, Soft Computing, and Networking
Honors and Awards
- (1) UM EXCELLENCE AWARDS (PhD CANDIDATE WITH HIGHEST IMPACT PUBLICATIONS)
- (2) PostDoc Fellowship: The High Impact Research, University of Malaya, Malaysia (Dec 2014- Aug 2015)
- (3) Scholarship: The Bright Sparks Program, University of Malaya, Malaysia (Sep 2011- Dec 2014)
- (4) Top Young Elites Scientific of Islamic Azad University, Tehran, Iran (2011).
- Machine Learning
- Intelligent Network
- Data Structure
machine learning (1)
Recent Works (1)
Research Works (1)
An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique Engineering Applications of Artificial Intelligence (2013)
The deployment of wireless sensor networks and mobile ad-hoc networks in applications such as emergency services, warfare and health monitoring poses the threat of various cyber hazards, intrusions and attacks as a consequence of these ...
A Bibliometric Approach to Tracking Big Data Research Trends Journal of Big Data (2017)
The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research trends on the ...
Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption ECU Publications Post 2013 (2015)
DHS (District Heating System) is one of the most efficient technologies which has been used to meet residential thermal demand. In this study, the most accurate forecasting of the residential heating demand is investigated via ...