SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework. - Navid Hashemi Tonekaboni; Lakshmish Ramaswamy; Deepak Mishra 005; Andrew Grundstein; Sujeet Kulkarni; Yanzhe Yin (ARIC@SIGSPATIAL, 2018)

Edge-Based Anomalous Sensor Placement Detection for Participatory Sensing of Urban Heat Islands. - Navid Hashemi Tonekaboni; Sujeet Kulkarni; Lakshmish Ramaswamy (ISC2, 2018)

A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensing. - Navid Hashemi Tonekaboni; Lakshmish Ramaswamy; Sakshi Sachdev (CollaborateCom, 2019)

Deep Learning at the Edge. - Sahar Voghoei; Navid Hashemi Tonekaboni; Jason G. Wallace; Hamid R. Arabnia (CoRR, 2019)

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 (ACM Southeast Regional Conference, 2020)

Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. - Navid Hashemi Tonekaboni; Lakshmish Ramaswamy; Deepak Mishra 005; Omid Setayeshfar; Sorush Omidvar (ICIOT, 2020)

Practice Exams and Student Performance in Introductory Programming. - Davide Fossati; Navid Hashemi Tonekaboni (SIGCSE, 2020)

How Personalized Feedback Emails Can Enhance Participation Rate in Online Courses. - Navid Hashemi Tonekaboni; Sahar Voghoei; Delaram Yazdansepas (SIGCSE, 2020)

Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. - Navid Hashemi Tonekaboni; Lakshmish Ramaswamy; Deepak Mishra 005; Sorush Omidvar (CoRR, 2020)

Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors. - Yanzhe Yin; Navid Hashemi Tonekaboni; Andrew Grundstein; Deepak R. Mishra 005; Lakshmish Ramaswamy; John Dowd (Comput. Environ. Urban Syst., 2020)

CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data. - Abolfazl Farahani; Navid Hashemi Tonekaboni; Khaled Rasheed; Hamid R. Arabnia (CSCI, 2022)

HPGER: Integrating Human Perception Into Group Emotion Recognition. - Abolfazl Farahani; Navid Hashemi Tonekaboni; Khaled Rasheed; Hamid R. Arabnia (CSCI, 2022)

Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing. - Ashley Dowd; Navid Hashemi Tonekaboni (ICMLA, 2022)

Towards High Resolution Urban Heat Analysis: Incorporating Thermal Drones to Enhance Satellite Based Urban Heatmaps. - Bryan Rickens; Navid Hashemi Tonekaboni (WWW (Companion Volume), 2023)

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 (HICSS, 2024)

Temporal Dynamics of Classroom Stress: Insights from Wearable Sensors and Machine Learning. - Latherial Calbert; Navid Hashemi Tonekaboni (ICMLA, 2024)

Accessible and Reliable AI Coding Tutors: Augmenting Large Language Models with Retrieval-Augmented Generation for Java Programming. - Guiu Puigcercos i Vilar; Parvez Rashid; Navid Hashemi Tonekaboni (EDUCON, 2025)