Center for Advanced Computation and Telecommunications

Ravi Kkumaar Sivasankar Venkata

Graduate Student in Computer Science

 

Contact

Office: Falmouth 203

Email: ravikkumaar_sivasankarvenkata@student.uml.edu

Others: GitHub, LinkedIn

Research 

Augmented Reality, Unity, Hand tracking, Artificial Intelligence Integration for AR Systems

Skills

Programming Languages:
C, C++, C#, Python, Java, HTML, CSS

AR/VR & Graphics Technologies:
Unity, Magic Leap SDK, Meta Quest, Insta360, ThingLink, Unity URP/HDRP, shaders, real-time rendering, OpenGL, TensorFlow, CNN models, OpenCV, MediaPipe, WebSocket servers, ONNX prototyping, MQTT, 3D assests,

Cloud & Big Data Technologies:
Azure Data Factory, Synapse Analytics, Data Lake, Databricks, PySpark, SQL, data base

Tools & Multimedia:
Visual Studio, VS Code, CorelDraw, Photoshop

Biography

Ravi Kkumaar Sivasankar Venkata is a graduate student pursuing a Master of Science in Computer Science at the University of Massachusetts Lowell. His research focuses on Augmented Reality (AR), hand-tracking systems, gesture-based interaction, and real-time graphics optimization using Unity and Magic Leap 2. Ravi explores the integration of human-centered computing, AI-driven guidance systems, and immersive rehabilitation applications.

His work spans advanced AR/VR development, 27-joint hand tracking, virtual object manipulation, and motion-based physiotherapy training using spatial computing technologies. He has experience designing rehabilitation workflows, adaptive feedback algorithms, and AI-powered “Virtual-hand” demonstrations for guiding user movement with precision.

Before starting graduate studies, Ravi worked as an Azure Data Engineer Trainee and Full Stack Developer, building scalable data pipelines, cloud-based analytics solutions, and interactive web applications. He also creates educational VR content using Insta360 cameras and ThingLink, producing immersive lab tours across multiple engineering disciplines at UMass Lowell

Education

  • M.S. Computer Science (Expected 2026), University of Massachusetts Lowell

  • B.Tech. Information Technology (2023), Saveetha Engineering College, Chennai, India

Experiences

Augmented Reality Research Developer | University of Massachusetts Lowell April 2025 – Present

  • Developing Unity-based AR systems on Magic Leap 2 enabling real-time hand tracking, gesture-driven interaction, Spatial Mapping and spatial anchors.
  • Optimized rendering pipelines and tracking stability to reduce interaction latency for live demonstrations and research environments.
  • Migrated cross-device XR applications from MRTK (HoloLens) to Magic Leap 2 SDK, adapting interaction logic, input systems, and rendering workflows.
  • Built ML-integrated gesture recognition pipelines using Python, TensorFlow Lite and WebSocket’s for adaptive interaction models.
  • Engineered a gesture-controlled five-DoF robotic arm system integrating MQTT communication and SysML-based MBSE architecture for real-time control.
  • Contributed to manuscripts focused on AR-based rehabilitation and immersive therapeutic systems
  • Currently developing a rehabilitation exercise interaction game for Meta Quest 3S, focusing on immersive therapy and gesture-based gameplay with custom 3D assets, models, and interactive environment design

Virtual Reality Content Creator (Immersive Lab Tours) | University of Massachusetts Lowell Feb 2025 – Present

  • Producing campus VR tours using Insta360 cameras and ThingLink.
  • Creating full end to end immersive videos using html, CSS and web hosting.
  • Integrating hotspots, audio, photos, and instructional overlays.
  • Improving user experience through media optimization and interactive design.

Full Stack Developer Intern | Virtusa Jun 2023 – Oct 2023

  • Developed an Educational Loan Portal using Java, HTML, CSS, and JavaScript.
  • Improved code quality using AI-assisted debugging and refactoring.
  • Delivered a fully functional application

Azure Data Engineer Trainee | PVR Cloud Tech Jan 2024 – May 2024

  • Migrated enterprise data from on-prem SQL Server to Azure Synapse Analytics.
  • Built ETL pipelines using Azure Data Factory, Data Lake, and Databricks.
  • Automated data transformation processes and improved query performance.

Projects

  • Presentation at the 2026 Student Research and Community Engagement Symposium at UMass Lowell            R.SivasankarVenketa, Assessing Functional Occupational Hand Mobility in Rehabilitation with Augmented Reality and Artificial Intelligence Enabled Systems, March 2026. RaviUMLSymposium2026.pdf
  • AR Wrist-Controlled Motion Exercise System (Magic Leap 2 + Unity): Built real-time AR trajectory-tracking with fingertip metrics, gesture-controlled scaling, fatigue detection, adaptive difficulty, trail visualization, and accuracy scoring
  • ML-Driven Hand Pose & Objects Tracking on AR device: Developed virtual hand guidance using TensorFlow Lite pose estimation;implemented real-time object and shape classification on Magic Leap 2 and also overlaying objects real-time in AR device.
  • Real-Time Robotic Arm Control using Magic Leap 2: Controlled a five-joint robotic arm using custom hand gestures, integrating MQTT communication and SysML-based MBSE model for real-time control.

Publications

  • E. Aoki, G. Boopathy, F. Norcéide, R. Venkata, C. Thompson, E. Lewis, and K. Chandra, “Interfaces for Co-Designing Augmented Reality with Application to Digital Health and Future Work Environments,” Proc. INCOSE Int. Symp., Yokohama, Japan, 2026 (accepted for presentation).
  • G. Boopathy, E. Aoki, F. Norcéide, R. Venkata, C. Thompson, E. Lewis, and K. Chandra, “Context-Aware Informatics using Model-Based Systems Engineering,” Proc. IEEE Int. Conf. Healthcare Informatics (ICHI), Minneapolis, MN, USA, 2026 (accepted for publication).
  • G. Boopathy, E. Aoki, F. Norcéide, R. Venkata, C. Thompson, E. Lewis, and K. Chandra, “A Comparative Analysis of Augmented Reality and Screen-Based Hand Tracking for Data-Driven Physical Therapy Applications,” Proc. ASEE Annu. Conf., Charlotte, NC, USA, 2026 (accepted for publication).
  • S. V. Ravi Kkumaar, N. Velmurugan, N. Hemanth, and V. G. Theja, “Controlling devices from anywhere using IOT including voice commands,” vol. 681, Jaipur, India, 2023, pp. 163 – 173, http://dx.doi.org/10.1007/978-981-99-1909-315

Affiliated Organizations

  • UMass Lowell Indian Student Association
  • UMass Lowell Graduate Student Association
  • Smart India Hackathon Team
  • Student Grant Funding

Honors & Awards 

  • Provost’s Graduate Scholarship Fund, UMass Lowell
  • Participant, ICE-TEAS Springer Conference, India
  • Participant, Smart India Hackathon, India
  • Member of YACD Social Club, India