Student Performance Prediction with Neuro-Fuzzy and Machine Learning
A hybrid model for predicting student performance in online mathematics education using ANFIS and machine learning.
R&D
From Research
to Real-World Solutions
We turn scientific research into practical products through AI, signal processing, computer vision and intelligent systems.
RESEARCH
INNOVATION
PUBLICATIONS
TECHNOLOGY TRANSFER
SOCIETAL IMPACT
Interdisciplinary Research
AI & intelligent systems
Innovative Solutions
From lab to industry
Academic Publications
Global visibility
Talent Development
Students & researchers
Our Focus
Research Areas
We conduct research in key areas of computer engineering and related disciplines, aiming to develop innovative solutions for real-world problems.
View All Research Areas
Artificial Intelligence
Signal Processing
Computer Vision
Machine Learning
Biometrics & Security
Data Science & Analytics
Neuro-Fuzzy & ANFIS
Human-Computer Interaction
29
Journal Articles
(9 SCI)
38
Conference Papers
(15 IEEE Xplore)
8
Books
(1 Book Chapter)
Top 2%
World's Scientists
(2025)
Featured Research Projects
Selected Projects
Neuro-Symbolic Cheating Detection in Online Exams
A neuro-symbolic approach for detecting suspicious behavior using multimodal features and XGBoost.
Parkinson's Disease Detection from Spiral Drawings
Deep learning and explainable AI for early detection of Parkinson's disease using spiral handwriting analysis.
Let's Work Together
Research for a Brighter Future
We are open to national and international collaborations, research projects, student opportunities and industry partnerships.