Jason Jabbour

Jason Jabbour

Computer Science PhD Student @ Harvard University

About Me

Hi! I am Jason Jabbour, a Computer Science PhD student in my second year at Harvard University. I am a member of the Edge Computing Lab under the mentorship of Professor Vijay Janapa Reddi. My research focuses on real-world reinforcement learning, robotics, and autonomous vehicles. I graduated from the University of Virginia in 2022 with a Bachelor's degree in Systems Engineering.


Harvard Edge Computing Lab
Reinforcement Learning Research
Fall 2021 - Spring 2022
Imitation Learning Pipeline
Imitation Learning Policy

Johns Hopkins University Applied Physics Lab
Machine Learning Security Engineer Intern
Summer 2022
Network Traffic Problem Statement
Network Traffic Dashboard

Cornell University Logo
Mathematics Research (SPUR)
Summer 2020
Mobius Band Bifurcation
Mobius Band Bifurcation Rotation

University of Virginia (UVA) Logo
Smart healthcare Research
Fall 2019 - Spring 2022
Recommender System Pipeline
Recommender System on Mobile Device



QueueClass Logo
Founder and Full Stack Developer
Summer 2021 - Present

University of Virginia School of Datascience
January 2021
Neural Network Classification of Murder Hornets

Fall 2019 - Fall 2020
Placed 1st in Virginia
Placed 4th Nationally
UVA Thornton Hall Blueprint Design
UVA Thornton Hall 3D Render Design


Conference Papers

  • Gao, Y., Jabbour, J., Ko, E., Wijayasingha, L., Kim, S., Wang, Z., Ma, M., Rose, K., Gordon, K., Wang, H., & Stankovic, J. (2023). Integrating Voice-Based Machine Learning Technology into Complex Home Environments. 8th ACM/IEEE Conference on Internet of Things Design and Implementation. (Submitted). https://arxiv.org/abs/2211.03149 PDF

  • Caruso, M., Jabbour, J., Neale, C., Summerville, A., Walters, A., Heydarian, A., Small, A., & Varnosfaderani, M. (2022, April). Developing a Dynamic Control Algorithm to Improve Ventilation Efficiency in a University Conference Room. Systems and Information Engineering Design Symposium (SIEDS). (pp. 145-150). IEEE. https://doi.org/10.1109/SIEDS55548.2022.9799313 PDF Best Paper Award

  • Neuman, S., Plancher, B., Duisterhof, B., Krishnan, S., Banbury, C., Mazumder, M., Prakash, S., Jabbour, J., Faust, A., Croon, G., & Janapa Reddi, V. (2022). Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). https://doi.org/10.48550/arXiv.2205.05748 PDF

  • Gao, Y., Jabbour, J., Schlegel, E., Ma, M., MaCall, M., Wijayasingha, L., Ko, E., Gordon, K., Rose, K., Wang, H., & Stankovic, J. (2021). Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer’s Patients. IEEE Pervasive Computing, 21(1), (pp. 37-47). https://doi.org/10.1109/MPRV.2021.3106885 PDF

  • Jabbour, G., & Jabbour, J. (2021, March 3-5). The Insider Threat Minimization and Mitigation Framework. In M. Nunes, P. Isaias &, P. Powell (Eds.), Proceedings of the 14th IADIS International Conference on Information Systems, IS 2021 (pp. 69–77). IADIS. (ISBN: 978-989-8704-27-6) http://www.iadisportal.org/digital-library/the-insider-threat-minimization-and-mitigation-framework PDF Best Paper Award
Journal Papers

  • Ko, E., Kim, S., Schlegel, E., Gao, Y., Jabbour, J., Wang, Z., Nuwan, L., Wright, K., Wang, H., Stankovic, J., Gordon, K., & Rose, K. (2023) Implementing Smarthealth Technology: A Case Study of a Spousal Caregiver for a Person Living with Alzheimer’s Disease. Western Journal of Nursing Research 2023. (Submitted).

  • Jabbour, G., & Jabbour, J. (2021). Mitigating the Insider Threat to Information Systems using Fully Embedded and Inseparable Autonomic Self-Protection Capability. IADIS International Journal on Computer Science & Information Systems, 16(1), (pp. 81-95). https://doi.org/10.33965/ijcsis_2021160106 PDF
Workshops & Abstracts

  • Jabbour, J., Neuman, S., Mazumder, M., Banbury, C., Prakash, S., Plancher, B., Janapa Reddi, V. (2022). Closing the Sim-to-Real Gap for Ultra-Low-Cost, Resource-Constrained, Quadruped Robot Platforms. 3rd Workshop on Closing the Sim2Real Gap at the Robotics Science and Systems (RSS) Conference 2022, New York, New York. https://sim2real.github.io/ PDF Slides Video

  • Rose, K., Gordon, K., Schlegel, E., McCall, M., Gao, Y., Jabbour, J., & Ko, E. (2021). Pandemic Deployment of a Smarthealth Technology to Improve Stress in Dementia Family Caregivers. Innovation in Aging, 5(Suppl 1), (pp. 450-450). https://europepmc.org/article/pmc/pmc8679561 PDF

  • Wang, W., Jabbour, J., & Borum, A. (2020, August 14-16). Bifurcations in the Construction of Elastic Mobius bands. [Conference session]. Young Mathematicians Conference, Ohio State University, Columbus, Ohio. https://share.cocalc.com/share/ad2870bf2c83954cb0d873dae1867a298b83f573/program.pdf PDF Video

  • Jabbour, J. (2023). Beyond the Constraints: Unleashing the Potential of Low-Cost Robots and Standardizing Robotics Performance Assessment. [Unpublished presentation]. Boston University Department of Computer Science. Boston, MA. Slides

  • Jabbour, J. (2022). Securing Network Traffic Data using Reinforcement Learning. [Unpublished presentation]. Johns Hopkins University Applied Physics Laboratory AOS QNI Group. Laurel, MD. Slides

  • Jabbour, J. (2021). Taking Tiny Steps Towards Applying Reinforcement Learning to Achieve Walking Gaits on a Constrained Quadruped Robot. [Unpublished presentation]. VLSI-Arch Undergraduate Research Presentations. Harvard University, Cambridge, MA. Slides


APMA 3120 Statistics

Head Grader

Summer 2021 - Spring 2022

UVA Department of Applied Mathematics

APMA 3080 Linear Algebra

Head Grader

Summer 2021

UVA Department of Applied Mathematics

APMA 3100 Probability

Teaching Assistant

Fall 2020

UVA Department of Applied Mathematics

CS 1110 Programming in Python

Lead Teaching Assistant

Fall 2019 – Spring 2022

UVA Department of Computer Science