
Dr. Krishna Chandramouli, M.Tech.
Chief Technology Officer VENAKA MEDIA LIMITED, United Kingdom.
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SILVANUS: A Technology Solution to Prevent Wildfires and Protect Natural Resources
Dr. Krishna Chandramouli is Chief Technology Officer at VENAKA MEDIA LIMITED, United Kingdom Dr. Krishna Chandramouli, PhD (Lon), PhD (Lon), M. Tech, B. E, MIET, is a technical director at Venaka Media Limited, UK. He has more than 15 years of research and innovation experience in the field of computer vision technologies, software architecture models and cybersecurity. He holds dual PhD degrees from University of London in 2009 with specialization in Semantic Video Analytics and in 2019 on the interoperability of metadata models. He is a recognized expert in the use of video processing for semantic analysis of multimedia content. His expertise on Big Data Analytics has been gathered over many years of participation in several international benchmarking activities that are related to Media standardisation as MPEG. In the year of 2020, he has been nominated to chair Quality and Standardization (WG3) of Leading Platform for European Citizens, Industries, Academia and Policymakers in Media Accessibility (LEAD-ME) project (CA19142) representing UK COST. His on-going contribution to the field of Media Accessibility will facilitate establishing cross-cutting priorities in AI and Interactive Technologies within Europe and beyond. Dr. Chandramouli has executed several research projects in the domain of knowledge representation for geospatial content analysis, media transmission and forensic security for big-data platform. He has published more than 60 publications in highly reputed peer-reviewed conferences, journals, books with IEEE, ACM and Springer. He is a member of IET, IEEE, IEEE Computer Society, ACM and ONF. He has also organised special sessions in CBMI 2017, ICMR 2018 and is a guest editor of Large-scale multimedia signal processing for security and digital forensics special issue with Multimedia Tools and Application (MTAP) journal published by Springer. His current research interests include machine learning, big data video analytics, media engineering, time series analysis, information science, knowledge modelling for surveillance applications, and evaluating human factors in strengthening cyber security defences against novel cyberattacks.