About Me
I am currently an Assistant Professor at UPES, Dehradun. I have completed my Ph.D. in Computer Science and Engineering from the Indian Institute of Information Technology Guwahati, India. Post Ph.D., I have worked as a Post Doctoral Fellow in the Dept. of Computer Science and Engineering at the Indian Institute of Technology Kharagpur.
My research interest primarily involves Sensing, Human-Computer Interaction, Acoustic sensing and the Internet of Things. My earlier research works addressed in-network data fusion, machine inference on low-power devices, sentiment analysis on textual data, and detecting communities in social networks. Apart from that I have 5+ years of teaching experience at both abroad and within the country.
Feel free to connect with me through my email and social media pages. Thank you!
Latest Activities and Quick Links
I’m thrilled to announce that I’ve embarked on a new journey at UPES (University of Petroleum and Energy Studies)! 🎓✨ After an incredible learning experience at NIIT University, I’m eager to explore fresh opportunities, challenges, and growth at this esteemed institution.
UPES is renowned for its innovation-driven approach, dynamic learning environment, and focus on nurturing talent to make a real-world impact. 🚀💡 I can’t wait to dive into the vibrant community, academic excellence, and countless opportunities it offers.
Here’s to new beginnings, lifelong learning, and making the most of this exciting phase! 🔑💼
Happy to be a part of CODEC 2.0.
CODEC is a collaborative project which brings together 5 subjects. An acronym for - ‘Computer Networks and Data Communication, Operating Systems, Database Management, ET and Cybersecurity’, CODEC seeks to provide students an understanding of the inter-dependence of subjects in cutting-edge technology. This project is launched under the guidance of the faculties - Prof. Vijay Mandke, Dr. Kumar Nitesh, Dr. Anand Kumar Mishra, Dr. Anirban Das, Prof. Meera Datta, Prof. Surendar Singh, Prof. Manish Hurkat and Prof. Dheeraj Tripathi for 2nd Year BTech students. NUtons work on projects carried forward from the previous semester which involved integrating Object-Oriented Programming with the hardware prototypes of their workshop practice projects.
SMART: Streamlining Meta-expertise through Advanced AI and Rapid Technology
Launched the first round of SMART. In today’s fast-paced digital era, the demand for software applications has surged, leading to a growing need for rapid application development. Low-code and no-code (LCNC) have emerged as powerful tools that allow individuals to create software applications with minimal coding effort. The advantages of LCNC platforms include drag-and-drop visual interfaces, progressive deployment of web applications across various form factors and experiences, API-based integration with external and enterprise applications and data, and business process modeler and automation workflow designer using AI-based approaches. These platforms help convert business ideas to minimal viable products without spending significant effort on coding. These platforms also aid in testing the potential of business ideas, thus, reducing massive costs and risks associated with software product development.
Recognizing the significance of these platforms in modern software development, NIIT University planned a contest for developing AI-based Applications with LCNC Challenge. Low-code technologies make engaging with code simple for developers and non-developers. Developers with some programming skills can speed up automation initiatives. Non-developers can also design forms, data-collection applications, business procedures, and custom user interfaces for customers using little code.