Rajeswari Sridhar is currently working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Tiruchirappalli, India. Her research interests include Cloud computing, Natural language processing, Information Retrieval, etc. She has guided 2 PhD students in the areas of Resource provisioning in Cloud computing and Access policies for data sharing through the cloud. She is currently guiding 5 research scholars in similar areas. She has published 70 articles in reputed journals and conferences. She is a member of the IEEE, ACM and CSI. G R Gangadharan is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. He has published around 95 publications in the reputed international journals, conferences, and book chapters. He has also edited two books. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant’Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). Rajan Shankaran is a Senior Lecturer in the Department of Computing at Macquarie University. He leads the 'Security, Communications, and Networks Research Group'. He obtained his PhD in Wireless and Mobile communications from the Western Sydney University (Sydney, Australia). He has previously held an appointment at Western Sydney University. His research focuses on Internetworking security and Quality of service with a special focus on Body Area Networks and Medical Implants, Cognitive Radio, Internet of Things and Vehicular Networks and D2D Communications. He has supervised several Master by Research (MRES) and PhD students to successful completion in these areas. He has published in reputed journals such as IEEE Transactions on Vehicular communications and IEEE Sensors as well as in several prestigious conferences. He has also acted as a reviewer for many SCI journals. He has also served in Technical Program Committees for several conferences in computer networking and security.

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• 1. Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems2. The architecture of smartness in healthcare3. Personalized decision support for cardiology based on deep learning: an overview4. Data-driven models for cuffless blood pressure estimation using ECG and PPG signals5. A recommendation system for the prediction of drug-target associations6. Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images7. FunNet: a deep learning network for the detection of age-related macular degeneration8. An improved method for automated detection of microaneurysm in retinal fundus images9. Integration and study of map matching algorithms in healthcare services for cognitive impaired person10. Emotion-recognition-based music therapy system using electroencephalography signals11. Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach12. Mental stress detection using a wearable device and heart rate variability monitoring13. Knowledge discovery and presentation using social media analysis in health domain14. Computationally efficient integrity verification for shared data in cloud storage15. Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques16. Measurement of the effects of parks on air pollution in megacities: do parks support health betterment?17. Internet of Things use case applications for COVID-19

Rajeswari Sridhar is currently working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Tiruchirappalli, India. Her research interests include Cloud computing, Natural language processing, Information Retrieval, etc. She has guided 2 PhD students in the areas of Resource provisioning in Cloud computing and Access policies for data sharing through the cloud. She is currently guiding 5 research scholars in similar areas. She has published 70 articles in reputed journals and conferences. She is a member of the IEEE, ACM and CSI. G R Gangadharan is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. He has published around 95 publications in the reputed international journals, conferences, and book chapters. He has also edited two books. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant’Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). Rajan Shankaran is a Senior Lecturer in the Department of Computing at Macquarie University. He leads the 'Security, Communications, and Networks Research Group'. He obtained his PhD in Wireless and Mobile communications from the Western Sydney University (Sydney, Australia). He has previously held an appointment at Western Sydney University. His research focuses on Internetworking security and Quality of service with a special focus on Body Area Networks and Medical Implants, Cognitive Radio, Internet of Things and Vehicular Networks and D2D Communications. He has supervised several Master by Research (MRES) and PhD students to successful completion in these areas. He has published in reputed journals such as IEEE Transactions on Vehicular communications and IEEE Sensors as well as in several prestigious conferences. He has also acted as a reviewer for many SCI journals. He has also served in Technical Program Committees for several conferences in computer networking and security.

Select Guide Rating

• 1. Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems2. The architecture of smartness in healthcare3. Personalized decision support for cardiology based on deep learning: an overview4. Data-driven models for cuffless blood pressure estimation using ECG and PPG signals5. A recommendation system for the prediction of drug-target associations6. Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images7. FunNet: a deep learning network for the detection of age-related macular degeneration8. An improved method for automated detection of microaneurysm in retinal fundus images9. Integration and study of map matching algorithms in healthcare services for cognitive impaired person10. Emotion-recognition-based music therapy system using electroencephalography signals11. Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach12. Mental stress detection using a wearable device and heart rate variability monitoring13. Knowledge discovery and presentation using social media analysis in health domain14. Computationally efficient integrity verification for shared data in cloud storage15. Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques16. Measurement of the effects of parks on air pollution in megacities: do parks support health betterment?17. Internet of Things use case applications for COVID-19

Rajeswari Sridhar is currently working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Tiruchirappalli, India. Her research interests include Cloud computing, Natural language processing, Information Retrieval, etc. She has guided 2 PhD students in the areas of Resource provisioning in Cloud computing and Access policies for data sharing through the cloud. She is currently guiding 5 research scholars in similar areas. She has published 70 articles in reputed journals and conferences. She is a member of the IEEE, ACM and CSI. G R Gangadharan is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. He has published around 95 publications in the reputed international journals, conferences, and book chapters. He has also edited two books. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant’Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). Rajan Shankaran is a Senior Lecturer in the Department of Computing at Macquarie University. He leads the 'Security, Communications, and Networks Research Group'. He obtained his PhD in Wireless and Mobile communications from the Western Sydney University (Sydney, Australia). He has previously held an appointment at Western Sydney University. His research focuses on Internetworking security and Quality of service with a special focus on Body Area Networks and Medical Implants, Cognitive Radio, Internet of Things and Vehicular Networks and D2D Communications. He has supervised several Master by Research (MRES) and PhD students to successful completion in these areas. He has published in reputed journals such as IEEE Transactions on Vehicular communications and IEEE Sensors as well as in several prestigious conferences. He has also acted as a reviewer for many SCI journals. He has also served in Technical Program Committees for several conferences in computer networking and security.

Select Guide Rating

• 1. Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems2. The architecture of smartness in healthcare3. Personalized decision support for cardiology based on deep learning: an overview4. Data-driven models for cuffless blood pressure estimation using ECG and PPG signals5. A recommendation system for the prediction of drug-target associations6. Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images7. FunNet: a deep learning network for the detection of age-related macular degeneration8. An improved method for automated detection of microaneurysm in retinal fundus images9. Integration and study of map matching algorithms in healthcare services for cognitive impaired person10. Emotion-recognition-based music therapy system using electroencephalography signals11. Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach12. Mental stress detection using a wearable device and heart rate variability monitoring13. Knowledge discovery and presentation using social media analysis in health domain14. Computationally efficient integrity verification for shared data in cloud storage15. Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques16. Measurement of the effects of parks on air pollution in megacities: do parks support health betterment?17. Internet of Things use case applications for COVID-19