Curriculum Vitae
Education
Doctorate in Computer Science and Engineering
University of South Florida (2017 - 2023)
Thesis: Refining the machine learning pipeline for US-based public transit systems
Advisors: Miguel Labrador (2017 - 2021), Sean Barbeau (2017 - 2022), Jay Ligatti (2022 - 2023)
Masters of Science in Computer Science
University of South Florida (2016 - 2017)
Advisors: Miguel Labrador
Bachelor of Science in Computer Science
University of Puerto Rico at Bayamon (2011 - 2015)
Capstone: Lightning Detection Network Monitoring
Advisors: Marc Legault, Carmelo Miranda, Lillian Bras Cummings
Memberships
USF Ubiquitous Sensing Lab and REU Site
Collaborations
USF Nano Computing Research Group (2024) [1]
USF Quantum Chiraltronics Group (2024) [2]
USF Computer Science IT Workgroup (2020 - 2024) [3]
UNC VisuaLab (2023) [4]
USF Graphics and Visualization Lab (2020 - 2022) [5]
USF College of Nursing (2017 - 2023) [6]
Center for Urban Transportation Research (2017 - 2022) [7]
UPR-B Computer Science Department (2015) [8]
UPR-B Physics Department (2014 - 2015) [9]
Publications
Peer-Reviewed
Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno, Paul Rosen, and Danielle Szafir: ”Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension”. CHI 2024 [4]
Ghulam Jilani Quadri, Jennifer Adorno, Brenton M. Wiernik, Paul Rosen: “Automatic Scatterplot Design Optimization for Clustering Identification”. IEEE Transactions on Visualization and Computer Graphics, 2022 [5]
Minh Pham, Hung Nguyen, Long Dang, Jennifer Adorno, “Compressive Features in Offline Reinforcement Learning for Recommender Systems”. 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, 2021
Jennifer Adorno, Brian Torres Alvarado, Sean J. Barbeau, and Miguel Labrador, “Evaluating Models for Estimating Schedule Deviation in Public Transit”. 2021 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).
Laureen Mack, Ponrathi Athilingam, Jennifer Adorno, “Health Literacy Impacts Knowledge and the Use of Education App in Heart Failure: A Pilot Study”. Cardiology & Vascular Research, 2021 [6]
Jennifer Adorno, Minh Pham, Sean J. Barbeau, Miguel A. Labrador, Robert L. Bertini, “Scalable Real-Time Transit Data Archiving: A Framework for Performance Assessment and Machine Learning Prediction”, Transportation Research Board Annual Meeting, Washington DC, January 2019. [7]
Jennifer Adorno, Yueng de la Hoz, and Miguel A. Labrador. “Smartphone-based floor detection in unstructured and structured environments.” 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).
Technical Reports
Sean J. Barbeau, Minh Pham, Jennifer Adorno, Robert L. Bertini, “Improving Transportation Performance Measurement via Open Big Data Systems – Phase 1 Transit”. Center for Transportation, Equity, Decisions and Dollars (CTEDD), 2020 [7]
Preprints
Carlos Alvarado, Ghulam Jilani Quadri, Jennifer Adorno, Paul Rosen, ”A Case-Study on Variations Observed in Accelerometers Across Devices”. CoRR abs/2207.03350, 2022 [5]
Jennifer Adorno, Steven Diaz Hernandez, Mark Di Sano, “Stroke Classification of Tennis Players”, 2016
Significant Contributions
King, S., Pinder, S., Fernandez-Lanvin, D. et al. Noise signature identification using mobile phones for indoor localization. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-023-17885-3.
Quadri, Ghulam Jilani, P. Rosen, “Modeling the influence of visual density on cluster perception in scatterplots using topology”, IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, pp. 1829–1839, 2020. [5]
Patents & Copyrights
Ponrathi Athilingam, Miguel Labrador, Jennifer Adorno, “HeartMApp: An Android Application for People with Congestive Heart Failure” Copyrighted by the USF Technology Transfer Office (United States TXU-2-278-122, 08/27/2021). [6]
Presentations
Refining the machine learning pipeline for US-based public transit systems (Fall 2023)
Fostering Research and Innovation in Public Transit: A Data Driven Approach (Fall 2019)
Introduction to Machine Learning (REU Workshop) (Summer 2019)
Academic Roles
Teaching
University of South Florida (01/2020 - 05/2021)
COP 4656: Software Development for Mobile Devices (online) (Spring 2021)
COP 4656: Software Development for Mobile Devices (online/in-person) (Spring 2020)
Teaching Assistant
University of South Florida (01/2016 - 05/2020)
Courses: Introduction to Artificial Intelligence (graduate & undergraduate), Introduction to Hadoop and Big Data, Software Development for Mobile Devices, Advanced Program Design, Computer Networks 1, Software Engineering, Introduction to Discrete Structures, Operating Systems for IT, Ethics for IT, Web Design for IT
Technical Roles
Software Systems Architect
University of South Florida (01/2024 - 10/2024) [2][3]
Services: virtualized software labs, remote hardware labs, high-performance computing systems
Virtual Desktop Infrastructure (VDI) Engineer (as Graduate Assistant)
University of South Florida (05/2021 - 12/2023) [3]
Services: hypervisor management, web-based remote desktop, service orchestration, troubleshooting, classroom deployments, course template preparation, staff training
System Administrator (as Graduate Assistant)
University of South Florida (05/2020 - 05/2021) [3]
Services: linux server administration, network administration, virtualization, physical-to-virtual (P2V) migrations, containerization, cctv, vpn, it helpdesk
DevOps Engineer (as Research Assistant & Graduate Assistant)
University of South Florida (05/2017 - 12/2023) [5][6][7]
Services: continuous delivery (CD) pipelines, artifacts generation, container infrastructure management, data security, service migrations, hosting, long-term support
Software Engineer (as Research Assistant & Graduate Assistant)
University of South Florida (08/2016 - 05/2021) [5][6][7]
Services: ubiquitous sensing data capture and analysis, mobile application development, single page application (SPA) development, design, authentication, encryption, third-party integrations, full-stack software development
Software Engineer (as Research Assistant)
University of Puerto Rico (12/2014 - 12/2015) [8][9]
Services: computer graphics development, data archiving, real-time data analysis, data mining, computer vision development
System Administrator
Farmacia Giusti Inc. (05/2011 - current)
Services: linux server administration, network administration, virtualization, data security, cctv, multi site-to-site vpn, email, web, purchasing, it helpdesk
Service & Volunteering
LGBTQ Panel Discussion
University of South Florida (Morsani College of Medicine) (2022 - 2024)
Roles: panelist, advocate
REU Mentor/Assistant
University of South Florida (05/2016 - 08/2019)
Roles: mentored students, coordinated events, held workshops, handled undergraduate applications, managed day-to-day operations
Technology Officer
Fundación Retinitis Pigmentosa de Puerto Rico (05/2011 - current)
Services: email services, web services, administrative duties
Mentoring
Graduate: Pavia Bera, Dominic Chillemi*, Kok Cheng Tan*, Neil Sambhu*
Undergraduates: Vicky Zheng, Hailey Baez, Karla Marie Montañez, Xingyuan Li, Brian Torres, Zuleyka Gonzalez, Carlos Alvarado, Jenny Sánchez**, Osniel Quintana**, Kin Ng Lugo**
* Technical ** Supervised
Certificates
- TeachAccess Study Away Part 1 (2023)
- Safe Zone Allyship Training (2021)
- HIPAA Privacy at USF Health (2020)
- Preparing for College Teaching (USF CITL/ATLE) (2017, 2018)
- Biomedical Investigators and Key Personnel (2017)
- Responsible Conduct of Research for Engineers (2016)
Workshops
- CMD-IT Academic Careers Workshop (2024, 2021)
- Assistive Applications, Accessibility, and Disability Ethics (A3DE) Workshop (2024)
- Institute on Teaching and Mentoring (2022, 2021, 2020, 2016)
- CRA-WP Grad Cohort Workshop for Women (2022)
- CRA-WP Grad Cohort Workshop for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (2021, 2020)
Awards
- Great Minds in STEM Scholarship (Intel 2019)
- Florida Georgia Louis Stokes for Alliance Minority Participation (FGLSAMP) Bridge to Doctorate Scholarship (2018)
- Alfred P. Sloan Foundation Minority Ph.D. Scholarship (2016)
Travel Awards
- Grace Hopper Celebration (AccessComputing 2023)
- ACM Tapia Celebration of Diversity in Computing (2023)
- IEEE VIS Inclusivity & Diversity Travel Scholarship (2022)
- Institute on Teaching and Mentoring (2022)
- ACM Tapia Celebration of Diversity in Computing (AccessComputing 2022)
- CRA-WP Grad Cohort Workshop for Women (2022)
- Institute on Teaching and Mentoring (2021)
- CMD-IT Academic Careers Workshop (2021)
- CRA-WP Grad Cohort Workshop for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (2021)
- IEEE International Conference on Pervasive Computing and Communication (PerCom 2021)
- Institute on Teaching and Mentoring (2020)
- Grace Hopper Celebration (2020)
- CRA-WP Grad Cohort Workshop for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (2020)
- ACM Tapia Celebration of Diversity in Computing (Two Sigma 2019)
- ACM Tapia Celebration of Diversity in Computing (IBM 2018)
- Institute on Teaching and Mentoring (2016)