Hasmat Malik - Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications

1. Tables in Chapter 1
2. Tables in Chapter 2
3. Tables in Chapter 3
4. Tables in Chapter 4
5. Tables in Chapter 5
6. Tables in Chapter 6
7. Tables in Chapter 7
8. Tables in Chapter 8
9. Tables in Chapter 9
10. Tables in Chapter 10

1. Figures in Chapter 1
2. Figures in Chapter 2
3. Figures in Chapter 3
4. Figures in Chapter 4
5. Figures in Chapter 5
6. Figures in Chapter 6
7. Figures in Chapter 7
8. Figures in Chapter 8
9. Figures in Chapter 9
10. Figures in Chapter 10

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Dr. Hasmat Malik , BEARS, University Town, NUS Campus, Singapore; Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, Delhi, India

Hasmat Malik (SM20) received BTech degree in electrical and electronics engineering from the GGSIP University, Delhi, India, MTech degree in electrical engineering from National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, India, and the PhD degree in Electrical Engineering from Indian Institute of Technology (IIT), Delhi. He is a Chartered Engineer and Professional Engineer.

He is currently a Postdoctoral Fellow at BEARS, University-Town, NUS Campus, Singapore since January, 2019 and served as an Assistant Professor for 5+ years at Division of Instrumentation and Control Engineering, Netaji Subhas University of Technology (NSUT) Delhi, India. He has organized five international conferences and his proceedings have been published by Springer Nature. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), USA, Life Member of ISTE (Indian Society for Technical Education), IETE (Institution of Electronics and Telecommunication Engineering), IAENG (International Association of Engineers, Hong Kong), ISRD (International Society for Research and Development) London, and CSTA (Computer Science Teachers Association) USA, Association for Computing Machinery (ACM) EIG, and Mir Labs, Asia.

He has published his research findings related to Intelligent Data Analytic, Artificial Intelligence, and Machine Learning applications in Power system, Power apparatus, Smart building & automation, Smart grid, Forecasting, Prediction and Renewable Energy Sources widely in International Journals and Conferences. Dr. Hasmat has authored/co-authored more than 100 research papers, 8 books, and 13 chapters in 9 other books, published by IEEE, Springer, and Elsevier.

He is a Guest Editor of Special Issue of Journal of Intelligent & Fuzzy Systems, 2018, 2020 (SCI, Impact Factor 2019:1.85), (IOS Press). He received the POSOCO Power System Award (PPSA-2017) for his PhD work for research and innovation in the area of power system. He has received best research papers awards at IEEE INDICON-2015, and full registration fee award at IEEE SSD-2012 (Germany). He has supervised 23 PG students. He is involved in several large R&D projects. His principle area of research interests is artificial intelligence, machine learning, and big-data analytics for renewable energy, smart building and automation, condition monitoring, and online fault detection and diagnosis (FDD).

Dr. Nuzhat Fatema , Intelligent Prognostic Private Limited India; Faculty of Business and Management, UniSZA, Malaysia

Dr. Nuzhat Fatema is graduated from Maharashtra University of Health Sciences, India. She has cured many patients with her skills of medicinal knowledge. Later to go beyond the clinical skills, she has achieved post-graduation in hospital management from International Institute of Health Management Research (IIHMR), Delhi. This was the platform where she has utilized her clinical skills with her managerial skills using artificial intelligence (AI), Machine Learning (ML), and Data Analytics. She has worked as a research associate at National Board of Examinations (NBE) India. She has authored one book describing a trouble free tool prepared by using different standardized manuals of medicines in different countries for usage of most complicated drug like Warfarin. She has published several research papers in renowned international journals and conferences. Presently, she is associated with Intelligent Prognostic Private Limited and Faculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Malaysia.