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Naman Awasthi
PhD student, computer science, Department of Computer Science, University of Maryland, College Park
Joined
September 2018
Names
Naman Awasthi
(Preferred)
,
Naman G Awasthi
Emails
****@gmail.com
(Confirmed)
,
****@terpmail.umd.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
PhD student
computer science,
Department of Computer Science, University of Maryland, College Park
(cs.umd.edu)
2021
–
2026
Researcher
Welingkar institute of Management and research
(welingkarmail.org)
2017
–
2019
Advisors, Relations & Conflicts
PhD Advisor
Vanessa Frias-Martinez
2021
–
2025
Coauthor
Daniel Smolyak
2020
–
2025
Coauthor
Saad Mohammad Abrar
2019
–
2025
Expertise
Temporal analysis
Present
Deep learning
Present
Urban mobility
Present
Trajectory analysis
Present
Time series analysis
Present
Computational social science
Present
Fairness
Present
Location data
Present
Publications
Analysis of Performance Improvements and Bias Associated with the Use of Human Mobility Data in COVID-19 Case Prediction Models
Saad Mohammad Abrar
,
Naman G Awasthi
,
Daniel Smolyak
,
Vanessa Frias-Martinez
ACM Journal on Computing and Sustainable Societies
Readers:
Everyone
From "I have nothing to hide" to "It looks like stalking": Measuring Americans' Level of Comfort with Individual Mobility Features Extracted from Location Data
Naman Awasthi
,
Saad Mohammad Abrar
,
Daniel Smolyak
,
Vanessa Frías-Martínez
CoRR 2025
Readers:
Everyone
DemOpts: Fairness corrections in COVID-19 case prediction models
Naman Awasthi
,
Saad Mohammad Abrar
,
Daniel Smolyak
,
Vanessa Frías-Martínez
CoRR 2024
Readers:
Everyone
Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models
Saad Mohammad Abrar
,
Naman Awasthi
,
Daniel Smolyak
,
Vanessa Frías-Martínez
CoRR 2024
Readers:
Everyone
Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models
Saad Mohammad Abrar
,
Naman Awasthi
,
Daniel Smolyak
,
Vanessa Frías-Martínez
CoRR 2024
Readers:
Everyone
COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data
Saad Mohammad Abrar
,
Kazi Tasnim Zinat
,
Naman Awasthi
,
Vanessa Frías-Martínez
CoRR 2024
Readers:
Everyone
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
Daniel Smolyak
,
Saad Mohammad Abrar
,
Naman Awasthi
,
Vanessa Frías-Martínez
CoRR 2024
Readers:
Everyone
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches
Jiahui Wu
,
Saad Mohammad Abrar
,
Naman Awasthi
,
Vanessa Frías-Martínez
Comput. Environ. Urban Syst. 2023
Readers:
Everyone
Analysis of Performance Improvements and Bias Associated with the Use of Human Mobility Data in COVID-19 Case Prediction Models
Saad Mohammad Abrar
,
Naman Awasthi
,
Daniel Smolyak
,
Vanessa Frías-Martínez
ACM J. Comput. Sustain. Soc. 2023
Readers:
Everyone
The BALTO Toolkit - A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit
Vanessa Frías-Martínez
,
Saad Mohammad Abrar
,
Naman Awasthi
,
Sunyup Park
,
Jessica Vitak
COMPASS 2023
Readers:
Everyone
View all 12 publications
Co-Authors
Aniket Bera
Daniel Smolyak
Dinesh Manocha
Enrique Frías-Martínez
Gloria Reeves
Jessica Vitak
Jiahui Wu
Kazi Tasnim Zinat
Manas Agarwal
Pooja Guhan
Saad Mohammad Abrar
Sunyup Park
Vanessa Frias-Martinez