Lazizjon Suyunov
📞 +39 351 560 8087 | ✉️ lazizjon.suyunov@uniroma1.it
Education:
PhD in Infrastructure and Transport
Sapienza University, Rome, Italy
Transport System Organization, Control, and Security (Nov 2024 – current)
PhD Topic: Smartphone Sensing, Filtering, and Map Matching: An Uncertainty-Aware Pipeline for Urban Mobility
Master’s Degree
Sapienza University, Rome, Italy
Transport System Organization, Control, and Security (Oct 2021 – Jun 2024)
Final Report: GNSS Processing in Android Applications
GPA: 97/110
Bachelor’s Degree
Transport University, Tashkent, Uzbekistan
Faculty of Electrotechnics and Computer Engineering (Sep 2015 – Jun 2021)
Final Report: Renewing Relay Systems with Microprocessor Solutions in Railway
GPA: 84/100
Experience:
Android & VR Developer
Net4U, University of Cagliari, Italy
Nov 2023 – Nov 2024
Developed an app for managing VPN servers.
Worked on virtual and mixed reality projects.
Learned and integrated virtual and augmented reality technologies.
Android Developer
Net4U, University of Cagliari, Italy
Apr 2023 – Nov 2023
Designed and developed a history-based app using Jetpack Compose with custom animations.
Collaborated with researchers to plan and execute science-related projects.
Implemented multithreading and parallelism using Kotlin Coroutines and Flows.
Lead Engineer of Automation and Telemechanics in Railway
Almalyk Mining and Metallurgical Complex, Uzbekistan
Jul 2019 – Oct 2021
Upgraded legacy relay systems to modern microprocessor-based solutions.
Led the design and modernization of railway station systems.
Courses & Certifications:
Android Development Bootcamp | GITA Academy (Jan 2022 – Jul 2022)
Skills & Technologies:
Programming Languages: Java, Kotlin, C++, JavaScript, C#
Mobile and VR Development
First year:
Built an Android GNSS logging app UGER (u-blox chipset): reliable background service, epoch-by-epoch capture, and DB writes; validated against a professional GPS tracker with RTK post-processing.
Developed a background location-tracking application that keeps logging after app kill/reboot; local DB + offline-first remote sync (ordered retries, consistency).
Delivered a real-time web dashboard: live map tracks (moving markers/tails), device status, short history playback, latency/drop-rate metrics, and basic data-quality checks.
Designed pre–map-matching filtering & cleaning: accuracy thresholds, HDOP/satellite checks, spike/outlier removal, de-duplication, time-order fixes; segmentation (dwell vs. move).
Implemented pairwise feasibility checks (distance/time → speed/accel/turn) to flag impossible hops and open gaps; exported clean trajectories + flags to DB/dashboard for map matching.
Set up APIs and data schemas for the upcoming uncertainty-aware map matching stage and dashboard integration.
Skills gained: JavaScript, TypeScript, React Native, web development (React, REST APIs, state management, auth, DB integration).