IoT Enabled Computer-Aided Systems for Smart Buildings

Gonçalo Marques holds a Ph.D. in Computer Science Engineering and is Senior member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia, and database systems. Furthermore, he worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include the Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 80 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited books projects. Jagriti Saini was born in Himachal Pradesh, district Mandi in 1992. She holds a Diploma in Electronics and Communication Engineering (2010) from GPW Kandaghat and completed her B. Tech in Electronics and Communication Engineering (2013) from HPU. She received a Master's Degree in Electronics and Communication Engineering from the National Institute of Technical Teacher’s Training and Research (NITTTR), Chandigarh (Panjab University), India (2017). She was awarded a Gold Medal for securing the highest percentile in the entire university during her Master's Degree. Jagriti did her Ph.D. in Electronics and Communication Engineering from NITTTR, Chandigarh (Panjab University) (2022). She received INSPIRE fellowship from the Department of Science and Technology (DST), India, for carrying out her research work. Her current research interests include Artificial Intelligence, Internet of Things, Environmental Monitoring, Indoor Air Quality Monitoring and Prediction, Healthcare Systems, e-Health, and Autonomous Systems. Her Ph.D. thesis entitled “Design and Development of Intelligent Indoor Air Quality Monitoring and Prediction System - Vayuveda” is mainly focused on developing cost-effective real-time monitoring and prediction system for indoor air quality management. She published more than 25 papers in reputed peer-reviewed international journals and conferences. Other than this, she is a frequent reviewer of journals and international conferences and is also working on several edited book projects. Maitreyee Dutta was born in Guwahati, India. She received the B.E. degree in electronics and communication engineering in 1993 from Guwahati University and was Gold Medallist in the same year. She obtained M.E. degree in electronics and communication engineering, and the Ph.D. degree in the faculty in engineering from Panjab University. She is currently Professor and Head of Information Management and Emerging Engineering and Joint Professor in Computer Science and Engineering Department, National Institute of Technical Teachers’ Training and Research, Chandigarh, India. She has more than 22 years of teaching experience. Her research interests include the Internet of Things, security of data, IP networks, Internet, authorization, data privacy, Public Key encryption, pattern clustering, cloud computing and data compression. She has more than 100 research publications in reputed journals and conferences. She completed two sponsored research projects—Establishment of Cyber Security Lab—funded by the Ministry of IT, Government of India, New Delhi, amounting to Rs. 45.65 lac and Establishment of Advaned Cyber Security Lab sponsored by MeitY, New Delhi amounting to 62 lacs. One sponsored project Securing Billion of Things-SEBOT funded by All India Council of Technical Education, New Delhi of amount Rs. 14.98 lacs is in progress.

• Chapter 1. Environmental data control in smart buildings. Big Data Analysis and existing IoT Technological Systems.- Chapter 2. Need of Technological Interventions for Indoor Air Quality and Risk Assessment upon short-term exposure: A Futuristic Approach.- Chapter 3. Climate-neutral districts with decentralized energy production, E-Mobility and through the formation of an energy community exchange of electricity and heat.- Chapter 4. IoT Enabled Zero Water Wastage Smart Garden.- Chapter 5. IoT based Human Activity Recognition for Smart Living.- Chapter 6. Application of Data Mining to Support Facilities Management in Smart Buildings.- Chapter 7. Application of Artificial Intelligence in Ambient Assisted Living to Support Elderly People in Smart Homes.