Internet Technologies

At the forefront of educational innovation, our department specializes in imparting knowledge about cutting-edge internet and cloud technologies, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Kubernetes. With a dedicated faculty focused on inspiring curiosity and exploration, we seamlessly integrate these advanced tools into our curriculum to equip students with the skills needed to excel in the digital landscape. From understanding cloud computing for flexible infrastructure solutions to mastering sophisticated internet protocols for enhanced connectivity, we empower students to thrive in their academic journey and future careers in technology

Unmanned Autonomous Systems

Within the Department of Information Science and Technology, a key focus area lies in the development of an Advanced Driver Assistance System (ADAS). This system is engineered to elevate the driving experience by prioritizing safety, comfort, and ease of operation. The thrust encompasses devising innovative methods and algorithms for obstacle avoidance and route optimization, aiming to achieve a high level of automation, specifically Level 4, within the ADAS framework. Additionally, there is a focus on evaluating the efficacy of this framework in guiding Unmanned Autonomous Ground Vehicles (UAGVs). The department's laboratory serves as a hub for practical learning, providing students with hands-on exposure to both hardware and software components. Here, a prototype vehicle is meticulously assembled, integrating embedded processors, motors, cameras, and an array of sensing devices to foster the development of unmanned vehicle technologies.

Data Analytics &Artificial Intelligence

Another prominent thrust area within the Department of Information Science and Technology is the Data Analytics and Artificial Intelligence Applications lab. This lab is dedicated to pioneering research and innovation at the intersection of data science and AI technologies. It focuses on developing cutting-edge algorithms and methodologies for extracting insights from large datasets, enabling informed decision-making and predictive analytics. The lab also explores the application of artificial intelligence techniques in various domains such as healthcare, finance, and smart cities. Students actively engage in hands-on projects, gaining valuable experience in data-driven problem-solving and the implementation of AI solutions to real-world challenges.

Media Processing

In this thrust area, emphasis is placed on developing sophisticated image and video processing algorithms for tasks such as object detection, recognition, and tracking. Additionally, research extends to audio processing, encompassing tasks like speech recognition, synthesis, and enhancement. Moreover, the analysis of multimedia data from diverse sources, including social media platforms and surveillance systems, is a key focus, enabling insights generation and decision support in various applications. The Media Processing thrust area also intersects with emerging technologies such as virtual reality (VR) and augmented reality (AR), where immersive multimedia experiences are created through advanced processing techniques. Furthermore, the integration of media processing with other fields like machine learning and computer vision opens avenues for novel applications such as content-based retrieval, personalized recommendation systems, and intelligent multimedia analysis.