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Sandhya Samant
Sandhya Samant
is an experienced academic professional with over 13 years of teaching experience in Computer Science. She is currently an Assistant Professor at the College of Engineering Roorkee and has previously worked at Quantum School of Technology and Guru Nanak Education Trust. She is pursuing a PhD in Computer Science, focusing on time series analysis of ECG signals using deep learning and machine learning for arrhythmia detection. She holds an M.Tech in Computer Science from Quantum School of Technology and a B.Tech in Computer Science and Engineering from Roorkee Institute of Technology. She has been granted a patent by the UK Intellectual Property Office for a “Smart Device for Monitoring the Health of Horticultural Plants” and has several patents published in India related to AI, IoT, and cybersecurity. Her research contributions include multiple papers published in reputed journals such as IEEE Xplore and IJERT, covering topics like ECG analysis, cybersecurity, AI, and machine learning. She has co-authored a book titled Fundamentals of AI and Deep Learning and has received the International Teaching Excellence Award 2023. She has attended numerous faculty development programs (FDPs) and international conferences on AI, ML, IoT, and cybersecurity, including those organized by IITs and NITs. Her technical expertise includes programming in C and C++, working with databases such as MySQL and SQL Server, and proficiency in MS Office and data analytics tools like Tableau. She has taught various subjects, including DBMS, Data Structures, Design and Analysis of Algorithms, Artificial Intelligence, and Data Analytics
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