Omsri Kumar Aeddula

Omsri Kumar Aeddula

Doctoral student

omsri.kumar.aeddula@bth.se

Department of Mechanical Engineering, Room J3426

+46 (0) 455-385427

BIOGRAPHY

Omsri Aeddula, born in 1993 in India, currently pursuing Ph.D. at Product Development Research Laboratory (PDRL), Blekinge Institute of Technology (BTH). His research focus is on data-driven decision support systems for product development using Artificial Intelligence (AI). He received his M.Sc degree in Electrical Engineering with a major specialization in Signal Processing from Blekinge Institute of Technology in 2017 and finished Bachelor’s degree in Electronics and Communications from Jawaharlal Nehru Technological University, Hyderabad, India in 2015.

He is part of KKS research profile ” Model-Driven Development and Decision Support”. He is also involved in Applied Healthcare Research with the BTH research clinic within AI. His other research interest includes Signal/Image Processing, Decision Management, Computer Vision, Deep Learning and Artificial Neural Networks.

Selected publications
Image-Based Localization System
Recent publications
Omsri Aeddula, Ryan Ruvald, Johan Wall, Tobias Larsson, "AI-Driven Comprehension of Autonomous Construction Equipment Behavior for Improved PSS Development", Proceedings of the Hawaii International Conference on System Sciences, EISSN 2572-6862, Proceedings of the 57th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, 2024
Omsri Aeddula, Martin Frank, Ryan Ruvald, Christian Johansson Askling, Johan Wall, Tobias Larsson, "AI-Driven Predictive Maintenance for Autonomous Vehicles for Product-Service System Development", 2024
Alexander Barlo, Omsri Aeddula, Toni Chezan, Johan Pilthammar, Mats Sigvant, "Creating a Virtual Shadow of the Manufacturing of Automotive Components", IOP Conf. Series: Materials Science and Engineering, ISSN 1757-899X, EISSN 1307, 43RD International deep drawing research group, IDDRG Conference, 2024, Institute of Physics (IOP), 2024
Omsri Aeddula, "Navigating Data Challenges: AI-Driven Decision Support for Product-Service System Development", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 2024:11, Blekinge Tekniska Högskola, 2024
A. R. Chezan, T. Dhawale, E. H. Atzema, Alexander Barlo, Omsri Aeddula, Johan Pilthammar, Mats Sigvant, N. A. J. Langerak, "Optimizing Reverse-Engineered Finite Element Models for Accurate Predictions of Experimental Measurements", IOP Conference Series-Materials Science and Engineering, ISSN 1757-8981, EISSN 1757-899X, 43RD International deep drawing reasearch group, IDDRG Conference, 2024, Institute of Physics (IOP), 2024

Quick facts

Publications per year