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Ananya Mondal is a Ph.D. student in the Department of Computer Science and Engineering at the Indian Institute of Technology Jodhpur, India, where she is a member of the UbiSys Research Group. Under the guidance of Dr. Suchetana Chakraborty, her research focuses on sensing as a service, extreme edge computing, and human activity recognition. She is passionate about exploring novel techniques to enable efficient and intelligent systems that can benefit society. Through her research, she aims to address challenges related to ubiquitous computing, IoT, and edge intelligence. She has been honored with a Master of Technology (M.Tech) in Computer Science and Engineering (CSE) Department of National Institute of Technology (NIT), Durgapur. She completed her graduation from Maulana Abul Kalam Azad University of Technology, West Bengal .
Ananya Mondal is a Ph.D. student in the Department of Computer Science and Engineering at the Indian Institute of Technology Jodhpur, India, where she is a member of the UbiSys Research Group. Under the guidance of Dr. Suchetana Chakraborty, her research focuses on sensing as a service, extreme edge computing, and human activity recognition. She is passionate about exploring novel techniques to enable efficient and intelligent systems that can benefit society. Through her research, she aims to address challenges related to ubiquitous computing, IoT, and edge intelligence. She has been honored with a Master of Technology (M.Tech) in Computer Science and Engineering (CSE) Department of National Institute of Technology (NIT), Durgapur. She completed her graduation from Maulana Abul Kalam Azad University of Technology, West Bengal .
Highlights
Highlights
Ananya has been honored with the prestigious travel grant sponsored by BuildSys 2023, enabling her attendance at the conference.
Sense as you go: A context-aware adaptive sensing framework for on-road driver profiling got accepted at the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2023)
Indoor Air Sensing: A Study in Cost, Energy, Reliability and Fidelity in Sensing got accepted at Sensing and Imaging Published by Springer Nature and published on Feb 20, 2023
As an accomplished candidate, she was selected as one of only 25 individuals from across India to attend a highly competitive workshop named "High-End Workshop On Artificial Intelligence And Data Science For Industrial Applications" held at CSIR CMERI Durgapur from 16th January 2023 to 22nd January 2023.
Ananya was awarded a travel grant sponsored by the Department of Science and Technology (DST) and the Science and Engineering Research Board (SERB) to attend the same high-end workshop.
Education
Education
Doctor of Philosophy, Ph.D. (2021 - Present)
Computer Science and Engineering
CGPA: 8
Supervisor : Dr. Suchetana Chakraborty
Master of Technology (2018-2020)
Master of Technology (2018-2020)
Computer Science and Engineering
CGPA: 8.69
M.Tech Thesis Title: Fine-Grained Indoor Air-Quality monitoring: Development, Calibration and Prediction with Optimal Placement of Environment monitoring Devices.
Supervisor: Dr. Subrata Nandi & Dr. Sujoy Saha
Bachelor of Technology (2016-2020)
Bachelor of Technology (2016-2020)
Computer Science and Engineering
Maulana Abul Kalam Azad University of Technology, West Bengal
CGPA: 8.03
B.Tech Thesis Title: Smart Home Automation and Human Activity Recognition
Internship
Internship
Research Intern,Mobile Computing and Networking Research Group,National Institute of Technology, Durgapur
March 2017-March 2018
Topic: Environment Monitoring Using Low Cost Sensors
Classification of Aromatic rice samples using FT-NIR spectrometer and MATLAB (s/w) from C-DAC Kolkata.
Jun 2015 - Jul 2015
Gallery
Gallery
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