Lala Shakti Swarup Ray

I am a PhD researcher at Embedded Intelligence Lab in German Research Center of Artificial Intelligence (DFKI), Kaiserslautern.

Domain: Computer Graphics/Simulation, Sensors, AI


Education
  • PhD. RPTU Kaiserslautern, Germany
    Thesis Title: Elevating sHAR with Simulations and Cross-Modal Insights.
    2023 - Present
  • M.Sc. Informatik (Major: Intelligent systems, Minor: Robotics) TU Kaiserslautern, Germany
    (Thesis) Deutsches Forschungszentrum für Künstliche Intelligenz, Kaiserslautern
    Thesis Title: Inferring contact pressure matrix from videos using neural networks and physics simulations.
    2019 - 2022
  • B.Tech. Computer Engineering IGIT Sarang, India
    Thesis Title: Mobile VR Application to treat phobias.
    2014 - 2018
Work Experience
  • PhD Researcher, Embedded Intelligence Group, Deutsches Forschungszentrum für Künstliche Intelligenz, Kaiserslautern, December 2022 - Present
  • Junior Researcher, Embedded Intelligence Group, Deutsches Forschungszentrum für Künstliche Intelligenz, Kaiserslautern, July 2022 - November 2022
  • Research Assistant, Image Processing Group, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik, Kaiserslautern, November 2021 - June 2022
  • Research Assistant, Augmented Vision Group, Deutsches Forschungszentrum für Künstliche Intelligenz, Kaiserslautern, October 2020 - June 2022
  • Technical Internship, Autonomous Driving Group, Zummit Infolabs LLP, Munich, July 2021 - October 2021
  • Research Internship, Electronics & Telecommunication Department, IIT Guwahati, April 2017 - July 2017
Supervision Experience
  • Yunmin Cho, M.Sc., RPTU Kaiserslautern Thesis: Cloth-Human-Attribute Guided Virtual Try-On Network.
  • Shazib Rauf Satti, M.Sc., RPTU Kaiserslautern Thesis: Unsupervised 3D Pose Estimation using Spatial-Temporal Transformer with Temporal and Biomechanical Constraints.
  • Jaspreet Singh, M.Sc., RPTU Kaiserslautern Thesis: Sensor based hand gesture recognition.
  • Dennis Schneider, M.Sc., RPTU Kaiserslautern Thesis: Enhancing Video Captioning Models with Motion-Grounded Synthetic Data Augmentation.
  • Sana Parveen, M.Sc., RPTU Kaiserslautern Thesis: Openvocabulary 3D motion generation from text for ASL.
Organiser Experience Technical Skills
  • Languages: Python, JavaScript / TypeScript, C++.
  • 3D Tools / Frameworks: Blender, Unity3D, Pytorch3D, PyBullet, Three.js.
  • AI Tools / Frameworks: Tensorflow, Tensorflow.js, Pytorch, Pytorch geometric, Keras.
  • AI Models: MLP, CNN, LSTM, Transformer, GNN, PINN, Quantum neural network, Multimodal learning, Multitask learning, Contrastive learning, Supervised learning, Self-supervised learning, LLM cross-modal learning, Simulation assisted learning, Generative AI, Foundational model.
  • Other: Git, GitLab, CUDA, Docker.
Language Skills
  • English: Fluent
  • German: Intermediate
  • Hindi: Fluent
  • Odia: Native
Journal Proceedings
Conference Proceedings
Adjunct Proceedings
Industry collaborations
  • Deihl GmbH: Generating Sythetic dataset for training a flight PoV object intruder detection & tracking model.
  • Parts GmbH: Training a PINN netowrk to gnerate Flow of injected fluids for different mold shapes.
Proceedings
  • Best WIP Runners-up Award: Generating Sythetic dataset for training a flight PoV object intruder detection & tracking model.
  • Best Paper Award: Training a PINN netowrk to gnerate Flow of injected fluids for different mold shapes.
  • Excellent Paper Award: Training a PINN netowrk to gnerate Flow of injected fluids for different mold shapes.
  • Best Paper Award: Training a PINN netowrk to gnerate Flow of injected fluids for different mold shapes.
Challanges & Hackathons
Others

Get in touch

For collaborations, please feel free to contact.

Profile photo of Lala Shakti Swarup Ray