The Virtual Lab for Artificial Intelligence and Data Science (AIDS) is dedicated to advancing knowledge and innovation in the fields of AI and data science. By harnessing the power of machine learning, data analytics, and optimization techniques, this lab aims to be at the forefront of research aimed at solving complex problems and enhancing decision-making across industries. The lab also explores the integration of AI with robotics, pushing the boundaries of automation and intelligent systems.
Through interdisciplinary collaboration and hands-on projects, students and researchers work on challenges that range from developing advanced algorithms to designing data-driven solutions for real-world applications. This lab organizes works done by students and faculties to acquire valuable skills in AI and data science, preparing them to lead future innovations in a data-driven world.
Research Areas:
- Artificial Intelligence (AI): Exploring intelligent systems and their applications, from natural language processing to computer vision.
- Machine Learning/Deep Learning (ML/DL): Developing and applying advanced models for prediction, classification, and pattern recognition.
- Data Mining and Analytics: Extracting meaningful insights from large datasets to support data-driven decision-making and innovation.
- Algorithms and Optimization: Designing efficient algorithms and optimization techniques to improve the performance and scalability of AI systems.
- Robotics: Integrating AI with robotics to develop autonomous systems capable of complex, intelligent actions in dynamic environments.
Members
