I am a PhD student at the High-Performance Computing and Analytics lab at the University of Bonn. I am interested in Computer Vision research, especially Deep ConvNets and Transformers.

Education

• PhD in Computer Science, University of Bonn, Germany. Present
• M.Sc in Autonomous Systems, Hochschule Bonn-Rhein-Sieg, Germany. 2022
• B.Tech in Electronics and Communications Engineering, KL University, India. 2017

Work Experience

• Junior Software Developer, RE: GmbH, Cologne, Germany. 2022-2023
• Student Research Assistant, Fraunhofer Institute for Algorithms and Scientific Computing, Germany. 2020-2022
• Student Research Assistant, Hochschule Bonn-Rhein-Sieg, Germany, 2019-2021
• Systems Engineer, Infosys, India, 2017-2018
• Intern, The Coca-Cola Company, India, 2015

Publications

• Veeramacheneni, Lokesh, Moritz Wolter, and Juergen Gall. “Wavelet Packet Power Spectrum Kullback-Leibler Divergence: A New Metric for Image Synthesis.” arXiv preprint arXiv:2312.15289 (2023) Paper.
• Veeramacheneni, L., & Valdenegro-Toro, M. (2022). A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. In NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics Paper.
• Veeramacheneni, Lokesh, et al. “Canonical convolutional neural networks.” 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022 Paper.

Teaching Experience

• Teaching Assistant for Foundations of Machine Learning for PIs course at University of Bonn.
• Teaching Assistant for Foundation of Machine Learning course at University of Bonn.
• Teach C++/OOP concepts in Foundations course at Hochschule Bonn-Rhein-Sieg.