University of Tabriz - Iran
AUTHOR PROFILE
PROFESSIONAL EMPLOYMENT
Leyli Mohammad Khanli is a highly esteemed Professor in the Department of Computer Engineering at the University of Tabriz, where she has been serving since 2020. She previously held positions as an Associate Professor from 2012 to 2020 and as an Assistant Professor in the Department of Computer Science from 2007 to 2012 at the same institution. Her academic journey at the University of Tabriz has been marked by significant contributions to the fields of computer science and engineering.
RESEARCH INTERESTS
Prof. Khanli's research interests are broad and include Cloud Computing, Network Security, Artificial Intelligence, Intrusion Detection, Computer Networks, and Information Systems. Her work has contributed to advancements in these areas, addressing both theoretical and practical challenges in modern computing and security.
UNDER-REVIEW ARTICLES
Prof. Khanli has several under-review articles, showcasing her ongoing research endeavors. These include "A Fast Multi-network k-Dependency Bayesian Classifier for Continuous Features" and "ACQC-LJP: Apollonius Circle-based Quantum Clustering using Lennard-Jones Potential," both submitted to the Pattern Recognition Journal. Additionally, she has work under review in the International Journal of Intelligent Engineering and Systems and Knowledge-based Systems, demonstrating her active engagement in cutting-edge research.
ARTICLES IN PROGRESS
Her current articles in progress include "Fuzzy Modeling of the Individual Behaviors Tendency based on the Cloninger’s Personality Theory," "Increasing Chatbot’s Context-Dependent Grasping, through Cloninger's Planes of Being Theory," and "Investigating the Relationship between the Dissemination of Neuronal Signals and Modeling the Spread of Memes in Social Networks." These projects highlight her innovative approach to integrating psychological theories and computational models.
MASTER AND DOCTORATE THESIS SUPERVISION
Prof. Khanli has supervised numerous master's and doctorate theses, guiding students through complex research projects. Notable theses include "Nonparametric Bayesian Network for Classifying Non-Stationary Data Streams" by Imaneh Khodayari, "A Novel Facial Expression Recognition Algorithm using Geometry B-Skeleton in Fusion based on Deep CNN" by Abbas Issa Jabbooree, and "Adaptive Neighborhood Bandwidth Detection of Gaussian Kernel in Quantum Clustering using the Apollonius Circle" by Nasim Abdolmaleki. Her mentorship has been instrumental in shaping the careers of many researchers.
CONFERENCE PRESENTATIONS
Prof. Khanli has presented her research at various international conferences. Recent presentations include "Automatic Clustering by Geometric Method of Tangent Lines with Points" and "Increasing Artificial Intelligence’s Context-Dependent Grasping, through Cloninger's Planes of Being Theory" at the 7th International Symposium on Innovative Approaches in Smart Technologies. She has also presented at the International Conference on Communication and Signal Processing in Montreal, Canada, and the International Conference on Computer Science, Communication, and Information Technology in Tbilisi, Georgia, among others.
NOTABLE PUBLICATION
Survey on prediction models of applications for resources provisioning in cloud 2017 (235)
EE-CTA: Energy efficient, concurrent and topology-aware virtual network embedding as a multi-objective optimization problem 2019 (34)
A survey of neighborhood construction algorithms for clustering and classifying data points 2020 (29)
An edge computing matching framework with guaranteed quality of service 2020 (26)