Partha S Roop
digital health researcher at University of Auckland in New Zealand
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Auckland[3]
- Field of work
- digital health[2]
- Doctoral student
- Roopak Sinha, Sidharta Andalam, Avinash Malik, Matthew Kuo, Weiwei Ai, Mahmood Hikmet, Nathan Allen, Zeeshan Bhatti, Hammond Pearce, Wikidata item[8][9][10][11][12][13][14][15][16][17]
- On focus list of Wikimedia project
- WikiProject COVID-19, NZThesisProject[19][20]
- Student
- Zeeshan Bhatti[6]
🏷️ Also known as
en Partha Roop
en Partha S Roop
en PS Roop
🔖 Identifiers · 9
- ORCID iD
- 0000-0001-9654-5678
- OpenAlex ID
- A5076621370
- DBLP author ID
- r/ParthaSRoop
- Dimensions author ID
- 011054442717.93
- Google Scholar author ID
- 4OrohVMAAAAJ
- LinkedIn personal profile ID
- partha-roop-26333219
- Mathematics Genealogy Project ID
- 158048
- The Conversation author ID
- 2723194
- ZbMATH author ID
- roop.partha-s
🔗 Connections
Author of 7
A compositional approach using Keras for neural networks in real-time systems,
A Formal Approach for Modeling and Simulation of Human Car-Following Behavior,
A New Safety Distance Calculation for Rear-End Collision Avoidance,
A Novel Mapping of ECG and PPG to Ensure the Safety of Health Monitoring Applications,
A Parametric Computational Model of the Action Potential of Pacemaker Cells,
Smart I/O Modules for Mitigating Cyber-Physical Attacks on Industrial Control Systems,
Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data
← Authored by 7
A compositional approach using Keras for neural networks in real-time systems,
A Formal Approach for Modeling and Simulation of Human Car-Following Behavior,
A New Safety Distance Calculation for Rear-End Collision Avoidance,
A Novel Mapping of ECG and PPG to Ensure the Safety of Health Monitoring Applications,
A Parametric Computational Model of the Action Potential of Pacemaker Cells,
Smart I/O Modules for Mitigating Cyber-Physical Attacks on Industrial Control Systems,
Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data
Affiliated with 1
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