Lazizjon Suyunov
Phone: +39 351 560 8087
Email: lazizjon.suyunov@uniroma1.it
EDUCATION
PhD in Infrastructure and Transport | Nov 2024 – Present
Sapienza University of Rome, Rome, Italy
Research Topic: Smartphone Sensing, Filtering, and Map Matching: An Uncertainty-Aware Pipeline for Urban Mobility
Supervisors: Prof. Guido Gentile and Prof. Augusto Mazzoni
Office: Department of Civil, Construction and Environmental Engineering (DICEA)
Sapienza University of Rome
Via Eudossiana 18, 00184 Rome, Italy
Master’s Degree | Oct 2021 – Jun 2024
Sapienza University of Rome, Rome, Italy
Master’s Thesis: GNSS Processing in Android Applications
Thesis Supervisor: Prof. Augusto Mazzoni
Final Grade: 97/110
Bachelor’s Degree | Sep 2015 – Jun 2019
Transport University, Tashkent, Uzbekistan
Faculty of Electrotechnics and Computer Engineering
Bachelor’s Thesis: Renewal of Railway Relay Systems Using Microprocessor-Based Solutions
Final Grade: 84/100
PROFESSIONAL EXPERIENCE
Android & VR Developer | Nov 2023 – Nov 2024
Net4U, University of Cagliari, Italy
* Developed an application for VPN server management.
* Contributed to virtual reality and mixed reality projects.
* Integrated virtual and augmented reality technologies into experimental applications.
Android Developer | Apr 2023 – Nov 2023
Net4U, University of Cagliari, Italy
* Designed and developed a history-oriented Android application using Jetpack Compose and custom animations.
* Collaborated with researchers in the planning and implementation of research-oriented software projects.
* Implemented asynchronous and concurrent processing using Kotlin Coroutines and Flows.
Lead Engineer of Railway Automation and Telemechanics | Jul 2019 – Oct 2021
Almalyk Mining and Metallurgical Complex, Uzbekistan
* Modernized legacy railway relay systems using microprocessor-based solutions.
* Led the design, upgrade, and modernization of railway station automation systems.
* Contributed to the implementation and maintenance of railway automation and telemechanics infrastructure.
COURSES AND CERTIFICATIONS
Android Development Bootcamp
GITA Academy | Jan 2022 – Jul 2022
TECHNICAL SKILLS
Programming Languages: Java, Kotlin, C++, JavaScript, TypeScript, C#
Mobile Development: Android, Jetpack Compose, Kotlin Coroutines, Flows, React Native
Web Development: React, REST APIs, state management, authentication, database integration
GNSS and Mobility Data: GNSS data acquisition, trajectory processing, filtering, outlier detection, spatial accuracy assessment, trajectory analysis
Other Technologies: Virtual Reality, Augmented Reality, Mixed Reality
PHD RESEARCH ACTIVITIES
First Year
* Developed UGER, an Android GNSS logging application based on a u-blox chipset, featuring a reliable background service, epoch-by-epoch data acquisition, and persistent database storage.
* Validated smartphone GNSS measurements against a professional GNSS reference system using RTK post-processing.
* Developed a background location-tracking application capable of continuing data collection after application termination and device reboot.
* Implemented a local database and an offline-first remote synchronization architecture with ordered retries and data-consistency mechanisms.
* Developed a real-time web dashboard for GNSS monitoring, including live trajectory visualization, moving markers, trajectory tails, device status, short-term historical playback, latency metrics, packet-loss indicators, and basic data-quality controls.
* Designed a pre-map-matching filtering and data-cleaning pipeline based on positioning accuracy thresholds, HDOP and satellite information, spike and outlier detection, duplicate removal, timestamp correction, and trajectory segmentation into stationary and moving periods.
* Implemented pairwise trajectory feasibility checks based on distance and time to estimate speed, acceleration, and turning behavior, enabling the detection of physically implausible movements and trajectory gaps.
* Integrated cleaned trajectories, quality indicators, and anomaly flags into the database and visualization dashboard.
* Designed APIs and data schemas to support the subsequent uncertainty-aware map-matching stage and its integration with the monitoring platform.
* Expanded technical expertise in JavaScript, TypeScript, React Native, React, REST APIs, state management, authentication, and database integration.
Second Year
* Extended the GNSS data-collection platform to support controlled experiments across different mobility modes, including driving, cycling, walking, and stationary conditions.
* Designed and conducted experimental campaigns to evaluate smartphone GNSS positioning performance under different urban mobility scenarios.
* Collected high-precision GNSS survey data to establish reference trajectories and ground-truth measurements for quantitative validation.
* Synchronized smartphone GNSS observations with reference measurements and performed temporal alignment, trajectory cleaning, and consistency checks prior to the evaluation process.
* Evaluated positioning accuracy and stability across different mobility modes using spatial error metrics, deviations from reference trajectories, signal-quality indicators, and temporal consistency measures.
* Investigated the influence of motion dynamics, urban environment, reported GNSS accuracy, satellite availability, and measurement noise on smartphone positioning performance.
* Compared raw and filtered smartphone trajectories with high-precision GNSS reference data to assess the effectiveness of the previously developed filtering and outlier-detection pipeline.
* Prepared validated datasets and an experimental framework for the subsequent research stage focused on uncertainty-aware map matching and trajectory reconstruction.