Your Name

3D Portfolio • Frontend & Interactive

Hi — I'm Lala Shakti Swarup Ray. I build interactive 3D web experiences, embedded intelligence, and visual interfaces. Visit my website: lalasray.github.io

Experience Research

Experience

Employment history, education and skills (extracted from your CV).

Employment History

2022 – Present — Researcher, Embedded Intelligence Lab, DFKI, Kaiserslautern.

2021 – 2022 — Research Assistant, Image Processing group, Fraunhofer ITWM, Kaiserslautern.

Education

2019 – 2022 — M.Sc. Computer Science, TU Kaiserslautern.
Thesis: Physics-informed dynamic pressure map generation from videos.

2014 – 2019 — B.Tech. Computer Science, IGIT, Sarang, India.
Thesis: Mobile VR Application to treat PTSD using smart-phone and smart-watch.

Skills

Languages: English, German, Hindi.
Coding: Python, C/C++, JavaScript/TypeScript.
AI Libraries: PyTorch, JAX, TensorFlow, DeepXDE.
Tools: Unreal Engine, Blender, Three.js, Gradio.
Misc: Teaching, Supervising, Graphic design.

Research

Research overview — selected projects and interests from your CV.

Research Topics

Work focuses on human activity recognition, pressure/force map generation from video, simulation-assisted training for sensor-based systems, and wearable sensing (textile capacitive sensing, IMU fusion) for motion capture and human-computer interaction.

Selected Projects

  • TxP: Reciprocal generation of ground pressure dynamics and activity descriptions for improving HAR.
  • Pressim: End-to-end framework for dynamic ground pressure profile generation using physics-based 3D simulation.
  • Mocapose: Motion capturing with textile-integrated capacitive sensors in loose-fitting smart garments.

Papers

Selected publications (extracted from your CV). Full list available in the downloadable PDF.

Journal Articles (selection)

  1. M. Liu, V. F. Rey, L. S. S. Ray, B. Zhou, and P. Lukowicz, “Contrastive-representation imu-based fitness activity recognition enhanced by bio-impedance sensing,” Pervasive and Mobile Computing, vol. 110, p. 102047, 2025.
  2. L. S. S. Ray, L. Krupp, V. F. Rey, B. Zhou, S. Suh, and P. Lukowicz, “Txp: Reciprocal generation of ground pressure dynamics and activity descriptions for improving human activity recognition,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 9, no. 2, pp. 1–32, 2025.
  3. L. S. S. Ray, Q. Xia, V. F. Rey, K. Wu, and P. Lukowicz, “Improving imu based human activity recognition using simulated multimodal representations and a moe classifier,” Frontiers in Computer Science, vol. 7, p. 1569205, 2025.

Conference Proceedings (selection)

  1. S. G. Fritsch et al., “Mujo: Multimodal joint feature space learning for human activity recognition,” PerCom 2025.
  2. L. S. S. Ray et al., “Chairpose: Pressure-based chair morphology grounded sitting pose estimation through simulation-assisted training,” UIST/ACM 2025.
  3. L. S. S. Ray et al., “Initial findings on sensor based open vocabulary activity recognition via text embedding inversion,” PerCom Workshops, 2025.

Contact

Contact details from your CV and a downloadable PDF.

Name

Lala Shakti Swarup Ray

Email

lala_shakti_swarup.ray@dfki.de

Website

lalasray.github.io

Download CV (PDF)

Embedded CV