Uthej D

Associate - IoT (Internet of Things) Lab | uthejd at iihs dot ac dot in

2017    BE, Automation and Robotics Engineering B V Bhoomaraddi College of Engineering & Technology,

             Visvesvaraya Technological University Hubballi, Karnataka, India


Countries: India
States: Karnataka, Telangana
Cities: Bengaluru, Hyderabad
Languages: Telugu, Hindi, Kannada, English

Uthej Dalavai, with a background in automation and robotics engineering, currently serves as an IoT associate. His passion lies in the dynamic realms of robotics, IoT, and embedded cybersecurity. Uthej has successfully obtained licensure as a drone pilot for small and medium category drones in India. This accomplishment showcases his forward-thinking mindset and eagerness to embrace emerging technologies, further augmenting his proficiency in diverse technological domains. Beyond the professional sphere, Uthej’s commitment to innovation sets him apart as a multifaceted individual poised to make significant strides in the field of robotics and IoT. He not only demonstrates technical prowess but also a passion for pushing boundaries and achieving new heights.


  • Engineering, RK Model School,Chittoor, Andhra Pradesh, India
  • IoT for a Smart City, Urban design and planning, Urban Fellows Programme (UFP), IIHS
  • Barathi, S., Thounaojam, A., Vaidya, P., Gopikrishna, A, Dalavai, U., & Tandon, V. (2023, November). A control sequence for prioritising ceiling fan operation over air conditioners using machine learning to determine thermal comfort. Paper presented at the International conference on Energise 2023: Lifestyle, Energy Efficiency and Climate Action, Alliance for an Energy Efficient Economy.
  • De, A., Thounaojam, A., Vaidya, P., Sinha, D., Raveendran, S., Gopikrishna, & Dalavai, U. (2022). Implementing at-scale adaptive thermal comfort controls for mixed mode building using machine learning. In FARU 2022: 15th International Research Conference. University of Moratuwa
  • Jain, Y., Vaidya, P., Chandra, A., Gopikrishna, Dalavai, U., & Paralkar, V. (2022). A demand response (DR) implementation case study for islanding of a building. In IBPSA, Building Simulation and Optimisation. University of Bath.