Riya Soni Junior Research Fellow
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I am currently working as a Research Fellow in the Department of Computer Science & Engineering at Engineering College Ajmer, contributing to the SERB-SURE funded research project titled “Robust Forensic Analysis of Unmanned Aerial Vehicle using Federated Learning and Deobfuscation Techniques”. My research focuses on UAV forensic analysis, trajectory prediction, and AI-driven data recovery techniques.

With expertise in machine learning, deep learning, and data analytics, I work extensively with Python for UAV data processing. My role involves analyzing drone flight logs, recovering encrypted/corrupted telemetry data, and implementing predictive models to enhance UAV forensic investigations.

Beyond research, I actively contribute to technical documentation, research publications, and conference presentations. I collaborate with faculty, researchers, and students, mentoring undergraduate teams and leading discussions in seminars, workshops, and academic forums.

Key Skills & Expertise:
- UAV Forensic Analysis & Data Recovery
- Machine Learning & Deep Learning
- Data Analytics & Visualization
- Programming in Python
- Research & Technical Documentation

Subjects

  • Machine Learning Grade 9-Doctorate/PhD

  • Python 3 Grade 9-Doctorate/PhD

  • Python Data Science Grade 9-Doctorate/PhD

Experience

  • Research Fellow (Apr, 2024–Jul, 2025) at Engineering College, Ajmer
    I am a Research Fellow in the Department of Computer Science & Engineering at Engineering College Ajmer, actively engaged in a project titled “Robust Forensic Analysis of Unmanned Aerial Vehicle using Federated Learning and Deobfuscation Techniques,” funded by the Science and Engineering Research Board (SERB-SURE). My current focus is developing predictive models for UAV trajectory analysis using machine learning and deep learning techniques, as part of our research.

Education

  • Bachelor of Technology (Aug, 2019–Aug, 2023) from Mahila Engineering College, Ajmer–scored 81.3%

Fee details

    ₹800–1,500/hour (US$8.42–15.79/hour)

    Depends on the level of expertise, and time zone

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