Mr. Kun Chen is a postgraduate researcher at East China Jiaotong University, specializing in machine learning and data mining. His research focuses on clustering analysis and semi-supervised learning, contributing to advancing intelligent data-driven systems. He co-authored the article A Novel Semi-Supervised Clustering Algorithm Based on Ridge Regression with Optimal Scaling, published in Neurocomputing, demonstrating strong analytical and methodological innovation. Despite being in the early stage of his academic career, he shows promising potential through international collaboration and impactful research contributions aimed at improving data interpretation and decision-making across scientific and engineering domains.
North Eastern Mindanao State University | Philippines
Dr. Sheilla Ann Bangoy Pacheco is an Assistant Professor at North Eastern Mindanao State University, specializing in machine learning, image processing, and adversarial AI. Her research focuses on robust facial recognition, privacy-preserving federated learning, and healthcare analytics. Her work on SARGAN-based face recognition and adversarial defense contributes to the development of secure and resilient biometric systems. Actively collaborating with international researchers, she adopts interdisciplinary approaches to address real-world challenges, particularly in healthcare and data privacy. Her contributions reflect growing societal relevance and a commitment to advancing trustworthy and secure artificial intelligence systems.
– In 2024 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE. (2024). Cited By: 1
Mr. Mohammad Hussein Amiri is a dedicated researcher and lecturer specializing in artificial intelligence, control systems, and metaheuristic optimization. He is an active reviewer for top-tier journals and a member of Iran’s National Elite Foundation. His expertise spans AI-driven fault detection, fuzzy systems, and optimization algorithms.
Fault Detection & Diagnosis in Industrial Systems.
Publications
An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants
Authors:Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima Khodadadi Journal: Expert Systems with Applications Year: 2025
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
Authors:Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Montazeri, M., Mirjalili, S., Nima Khodadadi Journal:Scientific Reports Year: 2024
Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system
Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization
Authors: Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh, Seyedali Mirjalili, Nima Khodadadi Journal:Cluster Computing Year: 2024
Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks
Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali Ardakani Journal: Research Square Year: 2023
Mr. Bhekani Siphumelele Zondi is a charismatic media practitioner, journalist, academic, content lead, and media researcher. With extensive experience in technology, social media, television, online, and radio programming, Zondi has significantly impacted South Africa’s media landscape.
Education:
Master of Arts in Media and Cultural Studies
University of Sussex, England (2012 – 2013)
Research: Social Media as the New Public Sphere
Bachelor of Technology in Journalism
Tshwane University of Technology, South Africa (Received Dec 2005)