Deep Learning Technologies for the Sustainable Development Goals

Dr. Virender Kadyan is currently working as Associate Professor in Informatics Cluster , School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. He has completed his Ph.D. and M.Tech. from Chitkara University, Punjab, in 2018 and Kurukshetra University, Kurukshetra, in 2013.  His research interest includes automatic speech recognition and speaker identification & verification.Dr. T P Singh is currently positioned as Professor and Head, School of Computer Science, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. He holds a Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 26 years of rich experience with him. To his credit there are more than 35 research publications and 6 edited books. Dr. Singh is a senior member of IEEE, member of various professional bodies including ACM, IEI, ISTE, IAENG, etc., and also on the editorial/reviewer panelof different journals. He is Fellow of IETA-India. His research interests are pattern recognition, machine learning and bulding intelligent hybrid systems.Prof. Chidiebere Ugwu is currently Director, Information & Communication Technology Centre(ICTC), University of Port Harcourt, Rivers State, Nigeria. He has successfully supervised many Ph.D., M.Sc, B.Sc projects and is currently supervising some. He is a Fellow, Nigeria Computer Society (FNCS); Member, Nigeria Professional Registration Council of Nigeria (MCPN); Member, Institute of Electrical and Electronics Engineers (MIEEE); Member, International Research and Development Institute (MIRDI); and Fellow, Institute of Corporate Administration of Nigeria (FICAN).

• How Deep Learning can help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th goal of SDGs).- Deep Technologies using Big Data in: Energy and Waste Management.- QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks.- Leveraging Fog Computing for Healthcare.- Intelligent self-tuning control design for wastewater treatment plant based on PID and Model Predictive methods.- Impact of Deep learning models for technology sustainability in tourism using Big data analytics.- Study of UAV Management Using Cloud Based Systems.- Contemporary Role of Blockchain in Industry 4.0.- SDGs Laid Down by UN 2030 Document.- Healthcare 4P: Systematic Review of Applications of Decentralized Trust using Blockchain Technology.- Implementation of An IOT Based Water And Disaster Management System By Using Hybrid Classification Approach.- Knowledge Representation to Expound Deep.- Learning Black Box.- Ann : Concept And Application In Brain Tumor Segmentation.- Automation Of Brain Tumor Segmentation Using Deep Learning.- Transportation Management using IoT Deep Learning to Predict various Traffic States.