Rick Pandey, M.Sc., scientist
”As part of the vibrant IMMS team, I am continually inspired by the synergy of brilliant minds and diverse expertise. Collaborating with fellow experts we collectively push the boundaries of what’s achievable, propelling our projects to new heights.“
”In the captivating realm of Embedded AI, IMMS extends an inspiring and versatile working atmosphere that fuels my creativity and passion. Collaborating with diverse partners from both scientific and industrial domains consistently exposes me to fresh challenges, stimulating my ingenuity to overcome them. Armed with cutting-edge technology and a team boasting a diverse range of competences, I find myself continually evolving professionally, while thoroughly enjoying the stimulating tasks at hand.
Within the sphere of Embedded AI, my primary focus revolves around the optimisation of big models and their seamless integration into smart sensing and online learning systems. In this dynamic realm, I embrace the challenge of refining and fine-tuning these complex models to ensure optimal performance within resource-constrained embedded environments.
By harnessing the power of embedded AI, we pave the way for intelligent, self-learning devices that elevate the user experience and enhance overall system performance. Within the fascinating world of smart sensing, my role is to prepare the AI models to seamlessly interact with data streams from a myriad of sources. This involves fine-tuning the models to recognise patterns, detect anomalies, and make intelligent decisions in real-time. By integrating cutting-edge algorithms and leveraging the latest advancements in AI research, we empower our embedded systems to glean valuable insights from their surroundings, making them truly intelligent and responsive.
As part of the vibrant IMMS team, I am continually inspired by the synergy of brilliant minds and diverse expertise. Collaborating with fellow experts we collectively push the boundaries of what’s achievable, propelling our projects to new heights. My academic knowledge serves as a foundation, but I’m continuously exploring new concepts and groundbreaking methods to engineer even more refined solutions. The ever-evolving landscape of Embedded AI ensures that each day brings fresh, exciting challenges, making the journey remarkably rewarding and never monotonous.“
Related content
Project
HoLoDEC
IMMS researches ultra-low-power architectures (ULP) and circuit concepts as well as energy-efficient edge-AI systems with overall system energy modeling
TEEMSC – Trainable Energy Efficient Machine Diagnosis using Singular Values and Canonical Crosscorrelation
Rick Pandey1. Sebastian Uziel1. Tino Hutschenreuther1. Silvia Krug1,2.IEEE International Workshop on Metrology for Industry 4.0 and IoT, Florence, Italy, May 29-31, 2024, DOI: doi.org/10.1109/MetroInd4.0IoT61288.2024.10584173
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany. 2Department of Computer and Electrical Engineering, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden.Weighted Pruning with Filter Search to Deploy DNN Models on Microcontrollers
Rick Pandey1. Sebastian Uziel1. Tino Hutschenreuther1. Silvia Krug1,2.2023 IEEE 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Dortmund, Germany, September 07-09, 2023, pp. 1077-1082, DOI: doi.org/10.1109/IDAACS58523.2023.10348867
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Mid Sweden University, Sundsvall, Sweden.Towards Deploying DNN Models on Edge for Predictive Maintenance Applications
Rick Pandey1. Sebastian Uziel1. Tino Hutschenreuther1. Silvia Krug1,2.Electronics 2023, 12(3), 639; DOI: doi.org/10.3390/electronics12030639
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Department of Computer and Electrical Engineering, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden.
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Lead application
Adaptive edge AI systems for industrial application
We are researching solutions for adaptive edge AI systems to make AI possible on low-consumption embedded systems in industry and to network them in real time.
Service for R&D
Development of embedded systems
We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.
Core topic
Embedded AI
The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.
Research field
Smart distributed measurement and test systems
Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.