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, University of Hawai'i at Manoa, 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
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
Raj Jiten Machchhar, Omsri Aeddula, Alessandro Bertoni, Johan Wall, Tobias Larsson, "SUPPORTING CHANGEABILITY QUANTIFICATION IN PRODUCT-SERVICE SYSTEMS VIA CLUSTERING ALGORITHM", Proceedings of the Design Society, EISSN 2732-527X, EISSN 3, Proceedings of the Design Society, Cambridge University Press, 2023
Daniel Nygaard Ege, Mark Goudswaard, Ole Nesheim, Sindre W Eikevåg, Oystein Bjelland, Kim A. Christensen, Robert Ballantyne, Shuo Su, Chris Cox, Louis Timperley, Omsri Aeddula, Raj Jiten Machchhar, Ryan Ruvald, Jie Li, Sara Figueiredo, Saurabh Deo, Nikola Horvat, Ivan Čeh, Jelena Šklebar, Daniel Miler, James Gopsill, Ben Hicks, Martin Steinert, "VIRTUALLY HOSTED HACKATHONS FOR DESIGN RESEARCH", Proceedings of the Design Society, EISSN 2732-527X, EISSN 3, Proceedings of the Design Society, Cambridge University Press, 2023

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