The ReSENSE Lab, led by Professor Dhananjay Singh, is dedicated to developing an AI-powered architecture for managing, analyzing, and predicting real-time big data. Their research focuses on applied data sciences, human-centric AI, and intelligent vehicle systems. Professor Singh's primary goal is to optimize system performance through re-architecting and constructing reliable frameworks for IoT applications, while also providing efficient data analysis and prediction solutions.

The lab's collaborations with industry and academia have provided students with valuable practical experiences and opportunities to apply their academic knowledge in real-world scenarios. These collaborations have resulted in patented technologies, publications in prestigious conferences, book chapters, and journal articles. Professor Singh has secured funding grants and industrial projects to support his students, postdoctoral researchers, and acquire necessary laboratory equipment.

The lab's key areas of expertise include Applied Data Centric AI, where they develop advanced techniques to effectively handle and analyze large datasets in real-time. They also specialize in Vehicle Centric AI, focusing on intelligent systems and algorithms for improving vehicle performance, safety, and autonomy. In the field of Human Centric AI, they explore ways to develop AI systems that enhance human experiences and interactions. Additionally, the lab is involved in researching 5G/6G Centric AI, leveraging the power of next-generation networks for AI applications. They are also actively involved in Blockchain Centric Cloud Computing, exploring the potential of blockchain technology in cloud computing environments. Lastly, the lab works on AI Powered IoT, developing intelligent solutions and frameworks to optimize IoT applications.

Overall, the ReSENSE Lab, under the leadership of Professor Dhananjay Singh, is at the forefront of AI research, contributing to advancements in various domains and nurturing the next generation of AI professionals through practical experiences and industry partnerships.


We are currently seeking potential graduates and interns from various departments, including Computer Science, Bioinformatics, Biomedical Mathematics, IT, Electronics Telecom, and Electrical Engineering. We are particularly interested in candidates who have a passion for interdisciplinary research and integrated technologies.

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