Sandhya Avasthi

Sandhya Avasthi is an Assistant Professor in Computer Science and Engineering Department at ABES Engineering College (Dr Abdul Kalam Technical University), Ghaziabad, India. She completed her PhD in the area of Machine Learning and Information Extraction. She did her M.Tech in Computer Science and Engineering from UP Technical University, Lucknow and B.E. in Computer Science and Engineering from Dr BR Ambedkar University, Agra. She has more than 18 years of teaching experience and is an active researcher in the field of machine learning and data mining. Her research interests include Natural Language Processing, Information Extraction, Information Retrieval, Data Science and Business Intelligence. She has published numerous research articles in refereed international journals, conference proceedings and book chapters. She is also contributing as reviewer in Springer, IEEE conferences, Hindawi, and Aging International Journal. She is associated as senior member IEEE, ACM and is continuously involved in different professional activities along with academic work.

Publications

Smart Grid Fault Detection and Classification Framework Utilizing AIoT in India
Sandhya Avasthi, Tanushree Sanwal, Shikha Verma. © 2024. 21 pages.
The energy sector is facing obstacles such as increased consumption, efficiency, and losses affecting mainly developing countries. One of the major challenges is unauthorized...
Modern Healthcare Systems: Unveiling the Possibility of AIoT for Remote Patient Monitoring
Kunal, Ayushi Prakash, Sandhya Avasthi, Kadambri Agarwal, Mohammad Hussain. © 2024. 24 pages.
Patient care is transformed when AIOT is included into contemporary healthcare. The influence of AIOT on remote patient monitoring is examined in this chapter, with a focus on...
VANETs and the Use of IoT: Approaches, Applications, and Challenges
Sandhya Avasthi, Tanushree Sanwal, Shivani Sharma, Shweta Roy. © 2023. 23 pages.
The vehicular ad-hoc network (VANET) has emerged as the most sought-after technology due to its wide range of applications. In this modern era, people are looking for intelligent...
Topic Modeling Techniques for Text Mining Over a Large-Scale Scientific and Biomedical Text Corpus
Sandhya Avasthi, Ritu Chauhan, Debi Prasanna Acharjya. © 2022. 18 pages.
Topic models are efficient in extracting central themes from large-scale document collection and it is an active research area. The state-of-the-art techniques like Latent...
Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine
Sandhya Avasthi, Tanushree Sanwal, Puja Sareen, Suman Lata Tripathi. © 2022. 16 pages.
Artificial intelligence is a huge part of the healthcare industry, having applications and uses in oncology, cardiology, dermatology, and many other fields. Another area where AI...
Smart IoT Systems: Data Analytics, Secure Smart Home, and Challenges
Ritu Chauhan, Sandhya Avasthi, Bhavya Alankar, Harleen Kaur. © 2021. 20 pages.
The IoT or the internet of things started as a technology to connect everyday objects over the internet, which has evolved into something big and invaded into every single aspect...