DR. ADELEH ASEMI ZAVAREH
Department of Software Engineering
Faculty of Computer Science and Information Technology
adelehum.edu.myView CV | |
Publons | |
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Biography | |
Dr. Adeleh Asemi Zavareh is a senior lecturer in the Department of Software Engineering, University of Malaya. She was conducting research in HCI and Human Decision Making Simulation area as a Postdoctoral Fellow at Department of Software Engineering, University of Malaya in 2015. Adeleh has received her Ph.D. from the Faculty of Computer Science and Information Technology, The University of Malaya under the prestigious MTCP Scholarship in 2014. She obtained her MSc from Pune University, India in 2008 and BSc from Ashrafi Esfahani University, Iran in 2006 respectively. Adeleh served as a lecturer and Assistant Professor at Esfahan University and Safahan Institute of Higher Education respectively, Esfahan, Iran since 2011. She received training in Modelling and Simulation and attended workshops on Big data and R-programming at the University of Malaya. She supervised more than 30 postgraduate students and taught both undergraduate and postgraduate computer science subjects. She joined the Faculty of Computer Science and Information Technology, University of Malaya as a visiting research fellow in 2019 and as an affiliated senior lecturer since 2020. Her research lies at the intersection of decision analysis including simulation/prediction/evaluation and artificial intelligence. She has worked to improve the decision analysis by using theories from disparate areas and formulate the evaluations of different alternatives such as engineering methods and systems to multi-criteria decision analysis. The breadth of her research agenda spans theoretical analysis and systems development, and her research style is not only to develop decision-making techniques and analyze their formal guarantees but also to implement them for industries in the physical world. In addition, she has forged interdisciplinary alliances with experts in agriculture, software engineering, law, environmental science, and speech recognition. Since 2019 she has extended her area of research to the multi-criteria evaluation of big data and IoT techniques. |
Publication
Finance
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
Investment Recommender System Model Based on the Potential Investors' Key Decision Factors
Sentiment Analysis in E-commerce Platforms: A Review of Current Techniques and Future Directions
Unveiling the impact of managerial traits on investor decision prediction: ANFIS approach
Information Literacy Instruction
Information systems
A Fuzzy Inference Expert System for detecting and controlling of rice weeds
Comparative survey on the ways of access to managerial information
The AHP-TOPSIS based DSS for selecting suppliers of information resources