- Provides insight on building smart sustainable solutions
- Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing
- Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research
- Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains
- Encompasses comparison and analysis of recent technologies and trends
- Includes development of smart models for information gain and effective decision making with visualization
Dr. Megha Rathi has obtained Ph.D. in Computer Science from Banasthali University and is presently working as an Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has ten years of teaching experience and worked on a research project at the National Informatics Centre (NIC), Delhi. She has experience in software development and worked as a Project Associate at the Indian Institute of Technology (IIT), Delhi. She has organized several special sessions at international conferences and also delivered invited talk. Her research areas include sustainable computing, data mining, data science, health analytics, and machine learning.
Dr. Adwitiya Sinha
has completed Ph.D. from the School of Computer & Systems Science (SCSS), Jawaharlal Nehru University (JNU) New Delhi, India. She was also awarded Senior Research Fellowship (SRF) from the Council of Scientific & Industrial Research (CSIR), New Delhi. She is presently working as Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has been organizing & conducting special sessions in several international conferences as chairperson and session chair for invited sessions. She has also delivered lectures series in The Consortium for Educational Communication (CEC), University Grants Commission (UGC) on sensor networks and social media sciences. She has been promoted to IEEE Senior Member in 2019 by The Institute of Electrical and Electronics Engineers (IEEE), New York, USA. Her major research interest lies in Sustainable Computing, Social Networking, Large-scale Graph Algorithms and Wireless Sensor Networks.
Title: Advanced Computational Techniques for Sustainable Computing
Author:
ISBN: 9780367495220
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-07-25
Number of Pages: 322
Weight: 0.7802 kg
