Debirupa Hore

Technology Manager and AI & Automation Leader with extensive experience in Digital Twin, robotics automation, and AI-driven intralogistics solutions at KION Group. Leads cross-functional engineering teams delivering automation, simulation, and robotics programs aligned with global technology roadmaps. Certified Scrum Master with strong expertise in Agile program execution, stakeholder management, and scalable AI/automation platforms. Focused on driving digital transformation, innovation, and automation strategy.

• Neural network–based improved active and reactive power control of wind-driven double fed induction generator under varying operating conditions., Wind Engineering, 2018, https://journals.sagepub.com/doi/abs/10.1177/0309524X18780402
• Fuzzy logic based improved active and reactive power control operation of DFIG for wind power generation., Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on, 2011, https://ieeexplore.ieee.org/document/5944631
• Improved Control of Dynamic Responses of Wind Driven DFIG under Fault Condition., Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on, 2015, https://ieeexplore.ieee.org/document/7155899
• IPL Player Selection using Fuzzy Logic, 2022 IEEE Industrial Electronics and Applications Conference, IEACon 2022, 2022, https://ieeexplore.ieee.org/abstract/document/9951755
• Development of AI Controllers for Smooth Operation of WDFIG under symmetrical & unsymmetrical Faults, i-manager’s Journal on Power Systems Engineering, 2020, https://imanagerpublications.com/article/16962/
• Application of Artificial Intelligence and Machine learning in the field of electrical Engineering: An Overview, International Journal of Advances in Science Engineering and Technology, 2018, https://iraj.in/journal/journal_file/journal_pdf/6-489-154892543510-14.pdf
• A Comparative analysis of various Machines learning algorithm based predictive models for employability prediction of Indian Engineering Students, Design Engineering, 2021, https://www.researchgate.net/search/publication?q=debirupa%2Bhore

• ARIBIC- Live digital twin of warehouse, 08/01/24, Present- Project Lead (India) at Kion Group AG. Leading design & 3D modelling of warehouses, AI-driven point cloud segmentation, and asset spawning in NVIDIA Omniverse/Isaac Sim. Developed pipelines to transform raw 3D point cloud data into high-fidelity Omniverse USD assets enabling scalable, real-time digital twins and advancing autonomous perception systems and high-fidelity simulation for fleet management. Driving research on autonomous Point cloud-to-USD methods optimizing workflows for faster asset creation and seamless integration with robotic and AI-based warehouse automation.
• 3D point cloud Panoptic segmentation, 08/01/24, 04/30/25, -AI Engineer developing high-resolution digital twin system for warehouses using advanced 3D Point Cloud Panoptic Segmentation integrating Semantic and Instance Segmentation for precise robotic perception. Processed sensor data from lidar and RGB-D cameras in the cloud to generate live 3D maps enabling real-time tracking of goods, optimized vehicle routing, and enhanced warehouse efficiency. Designed algorithms classifying each point into semantic and instance categories facilitating accurate perception and decision-making for robotic systems.
• RoCAP, - 01/06/2025- Present- AI based Case detection for Robotic arm for case pick up.
• DESIGN & DEVELOPMENT OF AIDE-N SYSTEM, 10/01/22, 08/31/24, -Project Architect & AI Lead at Tata Elxsi Ltd. Developed AI-powered robotic bed from concept to deployment transforming healthcare through automated object detection, pose estimation, and posture detection using state-of-the-art computer vision and deep learning. Innovated cleaning mechanism using robotic arm leveraging 3D point cloud generation from RGB-D cameras. Deployed AI models on edge AI platforms (Jetson Nano & Jetson Orin) ensuring seamless on-device inference and optimized real-time performance. Led algorithmic strategy selecting architectures and techniques to meet product requirements and optimized AI algorithms for significant FPS boost.
• Food recommendation system for CKD patients, 05/01/24, 08/31/25, -Classification of Critical Kidney Disease (CKD) and Non-CKD patients, identifying stage and recommending nutrients and meal plans as per CKD stage.
• ML based Predictive models for employability prediction, 08/01/21, 12/31/21, Explored machine learning based research in Edu-Tech domain through AI and Data Mining methodologies driving educational enhancement and innovation.
• Early detection of life-threatening diseases, 03/01/21, 07/31/25, Implemented pioneering methodologies for early detection of diseases like Cancer using Machine Learning achieving 95% accuracy, revolutionizing healthcare technology to improve patient outcomes.

• 2nd International Conference on Enhancement and Innovations in Exploring Engineering (ICEIEE-2019), 07/12/19, Kuala Lumpur, Malaysia
• 3rd Annual International Conference on Innoventive Engineering Intelligent System Integration 2021 (ICISI-2021), 2021