Arnab Bhowmik

System Engineer, IMMS GmbH, Ilmenau, DE 09.22 - Current

Designing and developing advanced automation solutions for automotive manufacturing processes and anomaly detection by using time series models.
Implementing MLOps, Industry 4.0 technologies such as IoT-based sensory systems, AI, and robotics to enhance production efficiency.

INTERNSHIP, Fraunhofer IOSB-AST, Ilmenau, DE. 11.21 - 02.23

Developed and executed machine learning algorithms for real-time control and navigation systems of self-driving robots, resulting in a 25% enhancement in system efficiency.
Used extensively Oracle SQL-based backend and implemented developed algorithms using C#.
Identified and assessed cutting-edge technologies to incorporate deep learning models in designing control systems.

RESEARCH ASSISTANT, Fraunhofer IOSB-AST, Ilmenau, DE 02.22 -12.22

Image data analysis and statistical analysis.
Successful testing in Robot Operating System (ROS) simulation.
Database management
- Satellite-based image segmentation and real-time data analysis (Images with 13 channels).

INTERNSHIP, German Aerospace Center, Munich, DE 02.21 - 03.23

TECHNICAL PROJECTS

MASTER THESIS, IoT Engineering, TU Ilmenau 11.23 - 04.24

Title: Handover in Dynamic Mobile Base Station Scenarios

Conducting research on handover parameters (Radio Link Failure (RLF), Packet Size, Handover Latency) using OMNET++, INET, Veins, Simu5G.
Developing base stations mobile in Simu5G and observing the handover parameters and the efficiency and optimization of the handover algorithm.

RESEARCH PROJECT, Informatik und Automation, TU Ilmenau 03.23 - 06.23

Title: Application of Variational Inference in Topic Model-based Image Segmentation

Testing Satellite-based Image segmentation using Latent Dirichlet Allocation (LDA) method is more efficient than the basic deep learning method for image segmentation.

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