Jasleen Kaur

Postdoctoral Research Fellow | Developer Manager
Jasleen Kaur

Contact Information

Email: jasleen.kaur@uwaterloo.ca

Location: TJB-2266 (Toby Jenkins Building, North Campus), University of Waterloo

Link to personal Website: https://www.linkedin.com/in/jasleen-kaur-phd-568112107/

Postdoctoral Research Fellow, UbiLab, School of Public Health Sciences

Developer Manager, UbiLab, School of Public Health Sciences

Adjunct Assistant Professor, School of Public Health Sciences, University of Waterloo

Dr. Jasleen Kaur is currently working as a postdoctoral research fellow and developer manager at the UbiLab, University of Waterloo. Additionally, she serves as an Adjunct Assistant Professor in the School of Public Health Sciences at the same university. Her current research as a postdoctoral research fellow focused on leveraging the power of IoT data to address population-level health indicators and improve public health outcomes. By analyzing and visualizing large datasets, and using machine learning models, she has contributed to evidence-based decision-making in the public health domain. Additionally, she is also engaged in various projects, including the development of a big data ecosystem to support infodemic management using social media public health data. Furthermore, she is also involved in creating early warning systems for monitoring and predicting adverse health outcomes associated with heatwaves, air pollution, and the impact of climate change on sleep health.

During her tenure as Research Scientist at the Indian Council of Medical Research (ICMR), her research focused on the design and development of an Antimicrobial Resistance (AMR) surveillance system using One Health approach, strengthening India's efforts in combating growing AMR. She also contributed to the management and analysis of COVID-19 pandemic data, proposing innovative methodologies for evaluating region-wise testing performance.

Her previous research work includes wide range of topics, such as building automated pipeline for developing application-specific, customized, and lightweight operating system for mhealth IoT devices/wearable devices to ensure optimal performance and resource conservation. Additionally, she also explored pervasive computing and IoT-based centralized healthcare infrastructure for remote patient monitoring.

In summary, her research interests lie in the areas of Digital Health, Public Health, Wearable Technology Design, IoT & AI in Healthcare, and Health Data Analytics. For a comprehensive overview of her qualifications, please refer to the complete CV provided below.

Jasleen Kaur’s CV

Education

  • B.Tech Computer Science & Engineering, India
  • M.Tech Computer Science & Engineering, India
  • PhD Computer Science & Engineering, India
  • Postdoctoral Research Fellowship, Ubiquitous Health Technology Lab (UbiLab), University of Waterloo, Canada

Research Interests

  • Digital Health,
  • IoT and AI in Healthcare
  • Health Data Analytics
  •  Big Data
  •  Wearable Technology Design

Selected Publications

Full list of publications: Research Gate | Google Scholar

Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Link: https://www.jmir.org/2023/1/e44356

A smart thermostat-based population-level behavioural changes during the COVID-19 pandemic in the United States: a proposed study

Link: https://dl.acm.org/doi/10.1145/3539494.3542756

i-DIA: Design & Development of Customizable Web API for Interoperability of Antimicrobial Resistance data”, Nature Scientific Reports 

Link: https://www.nature.com/articles/s41598-021-90601-z

ICMR’s Antimicrobial Resistance Surveillance system (i-AMRSS): A promising tool for Global AMR Surveillance 

Link: https://academic.oup.com/jacamr/article/3/1/dlab023/6190178

Management of COVID-19 Pandemic Data in India: Challenges Faced and Lessons Learnt

Link: https://www.frontiersin.org/articles/10.3389/fdata.2021.790158/full

i-MANN: A web-based system for data management of Mental Health Research in India

Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802041/