Prof. Dr. Karri chiranjeevi | Image | Best Researcher Award 

Dr. Karri Chiranjeevi has built an exemplary academic foundation. He earned his Senior Postdoctoral Fellowship at the University of Pompeu Fabra, Spain, focusing on scalable modeling of non-communicable diseases through machine learning. Previously, he was a Postdoctoral Fellow at the University of Porto, Portugal, where he contributed to cutting-edge research on automated perception driving and 3D object detection in autonomous systems. At the University of Malta, he worked on detecting illegal waste dumps using Sentinel-2 satellite imagery and machine learning. Earlier roles include postdoctoral research on radiomics signatures for cancer detection at the Champalimaud Foundation, Lisbon, Portugal. With his advanced training in data science, deep learning, and Python programming, Dr. Chiranjeevi has authored influential works in top-tier international journals and conferences.

work Experience

Dr. Karri Chiranjeevi brings extensive experience in interdisciplinary research across Europe. As a Senior Postdoctoral Researcher at the University of Pompeu Fabra, Spain, he models complex systems for non-communicable disease simulations. At the University of Porto, Portugal, he contributed to THEIA, enhancing automated driving perception systems using 3D object detection. His tenure at the University of Malta focused on environmental sustainability, employing satellite data for illegal dump detection. Dr. Chiranjeevi’s earlier projects include innovations in radiomics for cancer detection at the Champalimaud Foundation. With expertise in Python, data science, and machine learning, he has authored 34 international journal articles, shaping fields like autonomous systems, secure robotics, and environmental imaging.

Awards and Honors

Dr. Karri Chiranjeevi has received numerous accolades for his contributions to data science, machine learning, and environmental systems. He is recognized for his influential publications, with eight SCI-indexed articles among 34 journal papers. His achievements include pioneering research on breast cancer detection using radiomics, automated perception for autonomous vehicles, and innovative image processing solutions. Dr. Chiranjeevi has been invited to prestigious international conferences like IEEE and Springer events, showcasing his impactful work. He has contributed to groundbreaking projects funded by leading European universities and institutions, earning respect as a thought leader in his domain.

Research Focus

Dr. Karri Chiranjeevi’s research spans machine learning, deep learning, and data science with applications in healthcare, autonomous systems, and environmental sustainability. His work on breast cancer detection using radiomics and MRI image segmentation has advanced early diagnosis methods. In autonomous systems, he has explored LiDAR-based perception and 3D object detection, enhancing safety in automated driving. His environmental research includes satellite image analysis for illegal waste management. Dr. Chiranjeevi integrates cutting-edge tools like Python and scalable modeling to tackle real-world challenges, contributing to over 34 publications that bridge technology with societal impact.

Dr. Karri Chiranjeevi’s expertise lies in advanced machine learning, deep learning, and data science. Proficient in Python and scalable system modeling, he excels in designing innovative algorithms for healthcare, environmental imaging, and autonomous driving. His technical toolkit includes radiomics for cancer detection, 3D object detection for self-driving cars, and satellite data analysis. Dr. Chiranjeevi’s cross-disciplinary approach combines research, software development, and data analytics, enabling impactful solutions to complex problems. He is a skilled collaborator, contributing to European research projects and mentoring students in cutting-edge technologies.

Conclusion