Dr. Gagangeet Singh Aujla [Senior Member, IEEE] is an Assistant Professor of Computer Science at Durham University, UK and a Fellow of Durham Energy Institute. Before this, he worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at the University of Klagenfurt (Austria) and in various academic positions for over a decade. He received my PhD from Thapar University (India) and my master’s and bachelor’s degrees from the Punjab Technical University (India). He received the IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 for contributions on research and development of sustainable edge-cloud continuum for resource-constrained smart environments. He also received "Early-Career Award 2022 (Runner-up)" from the IEEE TEMS TC on Blockchain and Distributed Ledger Technologies for contributions to the research and teaching in blockchain and distributed ledger technologies. He received the 2018 IEEE TCSC Outstanding PhD Dissertation Award for contributions to designing and developing methods for self-sustainable cloud data centres. He also received 2021 IEEE Systems Journal Best Paper Award and TIET Best Paper Award for his research articles. He worked on various funded research projects awarded by UKRI, EPSRC, the Department of Science and Technology (India), and the Austrian Federal Ministry of Education, Science and Research. He serves as Co-Secretary, IEEE UK and Ireland Diversity, Equality and Inclusion Committee and Environment Champion (Durham Greenscpace). He led the team organizing workshops (BlockSecSDN, BlockCPS, SecSDN and EdgeAI) with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, ACM/IEEE UCC and many more. Contributing to the research community, he serves as an Area Editor for Ad hoc Networks (Elsevier), an Associate Editor for IET Smart Grid, an Associate Editor for Concurrency and Computation: Practice and Experience (Wiley), and an Associate Editor for Frontier in Internet of Things. He has also served as a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Wireless Communications, IEEE Network, Neural Computing and Applications (Springer), Computer Communications (Elsevier), and Transactions on Emerging Telecommunications (Wiley). The main theme of his research is energy-efficient, resilient and intelligent surfaces (smart city, smart grid, IoT-Edge-Cloud systems, healthcare systems, drones). He published several research papers in the top tier transactions and journals (like, IEEE TKDE, IEEE TDSC, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE TITS, IEEE TSC, IEEE TCC, IEEE TSuSC, IEEE TGCN, IEEE TII, IEEE JSAC, IEEE IoTJ, IEEE System Journal, IEEE WCM, IEEE Communication Magazine, IEEE Network, IEEE Consumer Electronics Magazine, IEEE Internet Computing, IEEE IoT Magazine, IEEE Communication Standards Magazine) and conferences (like, IEEE ICC, IEEE Globecom, IEEE WoWMoM, IEEE Infocom, ACM Mobicom, ACM MobiHoc).

• Introduction.- Big Data.- Big Data Analytics.- Cloud Computing for Big Data Analytics.- Big Data Analytics Platforms.- Big Data Storage Solutions.- Big Data Monitoring.- Debugging Big Data Systems for Big Data Analytics.- Machine Learning for Big Data Analytics.- Real-World Big Data Analytics Case Studies.- Big Data Analytics in Smart Grids.- Big Data Analytics in Bioinformatics.

Dr. Gagangeet Singh Aujla [Senior Member, IEEE] is an Assistant Professor of Computer Science at Durham University, UK and a Fellow of Durham Energy Institute. Before this, he worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at the University of Klagenfurt (Austria) and in various academic positions for over a decade. He received my PhD from Thapar University (India) and my master’s and bachelor’s degrees from the Punjab Technical University (India). He received the IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 for contributions on research and development of sustainable edge-cloud continuum for resource-constrained smart environments. He also received "Early-Career Award 2022 (Runner-up)" from the IEEE TEMS TC on Blockchain and Distributed Ledger Technologies for contributions to the research and teaching in blockchain and distributed ledger technologies. He received the 2018 IEEE TCSC Outstanding PhD Dissertation Award for contributions to designing and developing methods for self-sustainable cloud data centres. He also received 2021 IEEE Systems Journal Best Paper Award and TIET Best Paper Award for his research articles. He worked on various funded research projects awarded by UKRI, EPSRC, the Department of Science and Technology (India), and the Austrian Federal Ministry of Education, Science and Research. He serves as Co-Secretary, IEEE UK and Ireland Diversity, Equality and Inclusion Committee and Environment Champion (Durham Greenscpace). He led the team organizing workshops (BlockSecSDN, BlockCPS, SecSDN and EdgeAI) with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, ACM/IEEE UCC and many more. Contributing to the research community, he serves as an Area Editor for Ad hoc Networks (Elsevier), an Associate Editor for IET Smart Grid, an Associate Editor for Concurrency and Computation: Practice and Experience (Wiley), and an Associate Editor for Frontier in Internet of Things. He has also served as a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Wireless Communications, IEEE Network, Neural Computing and Applications (Springer), Computer Communications (Elsevier), and Transactions on Emerging Telecommunications (Wiley). The main theme of his research is energy-efficient, resilient and intelligent surfaces (smart city, smart grid, IoT-Edge-Cloud systems, healthcare systems, drones). He published several research papers in the top tier transactions and journals (like, IEEE TKDE, IEEE TDSC, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE TITS, IEEE TSC, IEEE TCC, IEEE TSuSC, IEEE TGCN, IEEE TII, IEEE JSAC, IEEE IoTJ, IEEE System Journal, IEEE WCM, IEEE Communication Magazine, IEEE Network, IEEE Consumer Electronics Magazine, IEEE Internet Computing, IEEE IoT Magazine, IEEE Communication Standards Magazine) and conferences (like, IEEE ICC, IEEE Globecom, IEEE WoWMoM, IEEE Infocom, ACM Mobicom, ACM MobiHoc).

• Introduction.- Big Data.- Big Data Analytics.- Cloud Computing for Big Data Analytics.- Big Data Analytics Platforms.- Big Data Storage Solutions.- Big Data Monitoring.- Debugging Big Data Systems for Big Data Analytics.- Machine Learning for Big Data Analytics.- Real-World Big Data Analytics Case Studies.- Big Data Analytics in Smart Grids.- Big Data Analytics in Bioinformatics.