Keynote Speaker – Dr. Kota Solomon Raju


Intelligent Internet of Things


Biography

Dr. Kota Solomon Raju
B.E., M.E. (BITS), Ph.D. (IITR)
Principal Scientist & Project Leader
Digital Systems Group
CSIR - Central Electronics Engineering Research Institute (CEERI)
Pilani 333 031 (Rajasthan), India





Dr. Kota Solomon Raju has been working as Principal Scientist in Digital Systems Group, CSIR - Central Electronics Engineering Research Institute (CSIR - CEERI), Pilani, Rajasthan, India. He received the B.E. from Andhra University in 1997, M.E. from BITS Pilani in 2003 and Ph.D. from IIT Roorkee in 2008. His research work mainly focused on advanced embedded systems, reconfigurable application specific instruction-set processor (RASIP), reconfigurable computing systems (RCS)for various applications such as Internet of Things (IoT), Software-Defined Radio (SDR), WSN, Automation, Robotics, Signal, Image, video and audio processing etc.

Currently leading three R&D major projects as a principal Investigator and Six R&D projects have been completed successfully as principal Investigator.

Apart from above R&D, he has been teaching / delivering lectures for the post graduate students as part of ACADEMY OF SCIENTIFIC AND INNOVATIVE RESEARCH (AcSIR), Chennai, which is like an Indian Institute of Technology (IIT) and other Institutions of National Importance. AcSIR established by an Act of Parliament, Government of India. He was a visiting professor (August 2015 to Dec2016), EEE department, BITS, Pilani. Author or co-author of more than 100 scientific papers published in peer-reviewed international journals and conferences. Delivered 49 invited talks in international / national conferences / seminars / workshops, and guided three Ph.D. students, more than 65 M.Tech. dissertations. He served as publication Chair and Co-convener for the ICAES-2013 (International Conference on Advanced Electronic Systems). He is also a Fellow of THE INSTITUTION OF ENGINEERS (INDIA), and life member of the IETE, New Delhi. He visited Germany and Japan. He has played the key role in materializing the MOU between CSIR-CEERI, Pilani and Hiroshima University, Japan.


Abstract

One of the most promising potential technology with interdisciplinary is Internet of Things. IoT is all about information visibility – without any problem in maintaining privacy, security and confidentiality. Thus, IoT is the network of things, with device identification, embedded intelligence, and sensing and acting capabilities, connecting people and things over the Internet. Around 60 billion IoT devices Edge, Gateway) are expected in use by 2020. IoT technology would be applied for many applications such as smart cities, infrastructure [Old and heritage buildings and bridges, Oil and Natural GAS pipelines, Big structures (steal and civil)] maintenance and prediction of SHM, Intelligent Health care Intelligent Transport, Intelligent building systems and Smart power grid etc. Having lot of opportunities, they also pose challenges in terms of system robustness and reliability, real-time data handling and transfer, efficient fault tolerance techniques with interoperability are the major issues. The solutions for these issues could be efficient system architectural with HW-SW co-design and reconfigurable computing system concepts to incorporate machine learning as well as multiple standards support in a single device. Proposing an interdisciplinary solution based on the application oriented / domain specific analytical model along with data driven model is an essential investigation to solve these kinds of problems. Another important issue would be how to handle heterogeneous communication standards with efficient reliable communication while maintaining low costs using SDR and cognitive radio concepts. SDR would help us to support multiple standards; CR would help us in maintaining spectral management. One of the proposed solutions to the above problems is that intelligent IoT system design. In this talk we would discuss how to build intelligent IoT, particularly communication and data acquisition issuesand their solutions.