Machine Vision Lab (MaViL)

Machine Vision Lab (MaViL)


TheMachine Vision Laboratory, which runs under the joint guidance of Prof. Abhijit Das, Prof. Aritra Mukherjee, and Prof. Sk. Aziz Ali, is a collaborative research center dedicated to advancing the frontiers of face and gesture recognition, 3D vision, and multimodal perception. The lab’s research encompasses 3D reconstruction, scene understanding, and generative deep learning, integrating machine perception with human-like visual intelligence. Some particular focus includes 3D vision and reconstruction; the group explores both theoretical foundations and real-world applications of intelligent vision systems. A dynamic community of research scholars, JRFs, and undergraduate students contributes to the lab’s mission of driving innovation in AI-based visual understanding and generative modeling.

Campus
Hyderabad
Division/Department
Hyderabad-Computer Sci & Information Sys

Security in Networks, SysTems, INformation and CybEr Landscape (SENTINEL) Lab

Security in Networks, SysTems, Information and Cyber Landscape (SENTINEL) Lab


The Security in Networks, Systems, Information, and Cyber Landscape (SENTINEL) Laboratory, co-directed by Prof. Geetha, Prof. Barsha, and Prof. Rajib Ranjan, is a research hub dedicated to advancing knowledge and innovation in cybersecurity, network resilience, and information protection. The lab’s work spans system security, threat intelligence, privacy-preserving architectures, and trustworthy computing. With expertise covering both theoretical frameworks and practical implementations, the team investigates solutions to emerging challenges in cyber defense and digital forensics. A diverse group of research scholars, JRFs, and undergraduate students collaborates on cutting-edge problems in network security, cryptography, and cyber threat mitigation, strengthening the foundation for a secure digital ecosystem.

Campus
Hyderabad
Division/Department
Hyderabad-Computer Sci & Information Sys

Wireless Networks and Distributed Systems Lab

Wireless Networks and Distributed Systems Lab


The Wireless Networks and Distributed Systems (WNDS) Laboratory, co-directed by Prof. Nikumani, Prof. Chittaranjan Hota, and Prof. Jay Dave, focuses on pioneering research in wireless communication, distributed computing, and edge–cloud systems. The lab investigates cutting-edge topics including IoT networks, network optimization, blockchain-based distributed architectures, and resource management in large-scale systems. By combining theory, simulation, and real-world experimentation, the group aims to develop scalable and secure networked infrastructures for next-generation connectivity. A dedicated team of research scholars, JRFs, and undergraduate students collaborates on advancing the frontiers of wireless systems, distributed intelligence, and networked autonomy.

Campus
Hyderabad
Division/Department
Hyderabad-Computer Sci & Information Sys

Anveshanshala

Anveshanshala


The research lab Anveshanshala, run under the joint guidance of Prof. Dipanjan, Prof. Akanksha, and Prof. Aruna, is a multidisciplinary research space dedicated to understanding complex ecological and societal systems through the lens ofdata-driven modeling and computational intelligence.The lab’s work spans ecological informatics, environmental data analytics, AI for sustainability, and the design of responsible, human-centered technologies. Integrating methods from data science, systems modeling, and ethical AI, the group aims to address real-world challenges in sustainability, resource management, and environmental resilience. A diverse team of faculty, research scholars, and students collaborates on impactful research bridging data science and ecological intelligence.

Campus
Hyderabad
Division/Department
Hyderabad-Computer Sci & Information Sys

NISE: Networked Intelligent Systems Engineering Lab

NISE: Networked Intelligent Systems Engineering Lab


The Networked Intelligent Systems Engineering (NISE) Laboratory, co-directed by Prof. Paresh Saxena and Prof. Manik Gupta, focuses on research at the intersection of intelligent systems, networking, and autonomous computing. The lab explores key areas such as cyber-physical systems, intelligent networking, edge–cloud collaboration, and AI-driven distributed control. By integrating principles of communication, computation, and learning, the group develops adaptive and efficient frameworks for autonomous and networked intelligent systems. A strong team of research scholars, JRFs, and undergraduate students contributes to advancing scalable, intelligent, and resilient networked technologies for real-world applications.

Campus
Hyderabad
Division/Department
Hyderabad-Computer Sci & Information Sys