Computer Graphics

Our team is passionate about creating visually stunning and immersive experiences through the power of digital imagery. From video games and animation to virtual reality and augmented reality, computer graphics play a vital role in shaping how we interact with digital content. With a focus on innovation and creativity, our team is dedicated to pushing the boundaries of what's possible in computer graphics, developing cutting-edge techniques and technologies to bring ideas to life in breathtaking detail.

Our team members are researching on various aspects of Computer Graphics,

Crowd Simulation

Our team specializes in developing advanced algorithms and techniques to simulate the movement and behavior of crowds in various environments. From simulating pedestrian flow in urban spaces to modeling crowd behavior at events and venues, we aim to provide realistic and accurate simulations that support planning, design, and safety assessment. Through our research and collaboration with industry partners, we strive to address complex challenges in crowd management and enhance the efficiency and safety of public spaces.

Machine Learning applied to Light Transport Simulation

Our team specializes in leveraging machine learning techniques to accelerate and enhance the accuracy of light transport simulations. By training models on large datasets of simulated light interactions, we can efficiently predict complex light paths and optimize rendering processes in computer graphics and visualization. Through our research, we aim to push the boundaries of realism and efficiency in rendering techniques, enabling more immersive and visually stunning virtual environments.

Monte Carlo Methods

Our team specializes in utilizing this powerful computational technique to solve complex problems across various domains, from finance and engineering to physics and optimization. By employing random sampling and statistical analysis, Monte Carlo methods provide efficient and accurate solutions to problems that are too complex to solve analytically. Through our research and practical applications, we aim to harness the versatility of Monte Carlo methods to address real-world challenges and drive innovation.