Navid Hashemi Tonekaboni

According to our database, Navid Hashemi Tonekaboni authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transforming Generative Large Language Models' Limitations into Strengths using Gestalt: A Synergetic Approach to Mathematical Problem-Solving with Computational Engines.

Cayden Dunn, Navid Hashemi Tonekaboni

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Towards High Resolution Urban Heat Analysis: Incorporating Thermal Drones to Enhance Satellite Based Urban Heatmaps.

Bryan Rickens, Navid Hashemi Tonekaboni

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing.

Ashley Dowd, Navid Hashemi Tonekaboni

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

HPGER: Integrating Human Perception Into Group Emotion Recognition.

Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data.

Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2020

Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors.

Yanzhe Yin, Navid Hashemi Tonekaboni, Andrew Grundstein, Deepak R. Mishra, Lakshmish Ramaswamy, John Dowd

Comput. Environ. Urban Syst., 2020

Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection.

Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Sorush Omidvar

CoRR, 2020

How Personalized Feedback Emails Can Enhance Participation Rate in Online Courses.

Navid Hashemi Tonekaboni, Sahar Voghoei, Delaram Yazdansepas

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Practice Exams and Student Performance in Introductory Programming.

Davide Fossati, Navid Hashemi Tonekaboni

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection.

Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Omid Setayeshfar, Sorush Omidvar

Proceedings of the Internet of Things - ICIOT 2020, 2020

Personalized Feedback Emails: A Case Study on Online Introductory Computer Science Courses.

Sahar Voghoei, Navid Hashemi Tonekaboni, Delaram Yazdansepas, Saber Soleymani, Abolfazl Farahani, Hamid R. Arabnia

Proceedings of the 2020 ACM Southeast Conference, 2020

2019

Deep Learning at the Edge.

Sahar Voghoei, Navid Hashemi Tonekaboni, Jason G. Wallace, Hamid R. Arabnia

CoRR, 2019

A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensing.

Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Sakshi Sachdev

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018

Edge-Based Anomalous Sensor Placement Detection for Participatory Sensing of Urban Heat Islands.

Navid Hashemi Tonekaboni, Sujeet Kulkarni, Lakshmish Ramaswamy

Proceedings of the IEEE International Smart Cities Conference, 2018

SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework.

Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Andrew Grundstein, Sujeet Kulkarni, Yanzhe Yin

Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities, 2018