
Research
I have been working as a MS by Research Student at IIIT-B in Data Science domain. My primary objectives of research include exploring: a) v-SLAM , b) Nerf and c) Other areas of Computer Vision.

Research Papers

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Paper 1:
​P. Rao and R. Ramachandran, "Intelligent Navigation Tactics for Differential Drive Robots: Expanding Boundaries," 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/CONECCT62155.2024.10677178.
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Paper 2:
​P. Rao and S. Kumar, "Channel Estimation for mmWave MIMO using Deep Residual Learning," 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/GCITC60406.2023.10426111.
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Paper 3:
​V. M. R, P. Rao and Lakshmeesha, "Advancements in Semantic Skin Lesion Segmentation: A Comparative Study with YOLOv8 for Accurate Skin Lesion Segmentation," 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/GCITC60406.2023.10425934.
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Paper 4:
​P. Rao, D. Bhaskaran and Lakshmeesha, "Exploring FMU-NET: A Comprehensive Study on Person Identification Through Novel Semantic Segmentation Techniques," 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, 2023, pp. 1-6, doi: 10.1109/EASCT59475.2023.10392590.
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Paper 5:
​P. Rao and Lakshmeesha, "Real Time Face classification and Shape based feature extraction with Deep Neural networks," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 216-220, doi: 10.1109/I4C57141.2022.10057731.
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Paper 6:
​B. Kowlagi, P. Rao and Lakshmeesha, "YOLOv7 based face extraction and novel Eye feature extraction with EYENET," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 178-181, doi: 10.1109/I4C57141.2022.10057810.
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Paper 7:
​P. Rajshekar, P. Rao and Lakshmeesha, "Vasculature Detection in Tympanic Membrane," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 133-137, doi: 10.1109/I4C57141.2022.10057705.
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Paper 8:
​P. Rajshekar, P. Rao and Lakshmeesha, "TMV-NET: Regression approach for the quantification of Tympanic Membrane," 2022 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), Bengaluru, India, 2022, pp. 130-134, doi: 10.1109/CENTCON56610.2022.10051503.​​