Dr. Patike Kiran Rao is a dedicated academician and researcher with 16+ years of experience in teaching, research and academic practice. He is currently serving as Assistant Professor in the Department of CSE (Data Science) at Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, Andhra Pradesh (2024–Present), where he is engaged in teaching, research supervision and curriculum development.

Previously, he served as Senior Assistant Professor in the Department of Artificial Intelligence at Ravindra Engineering College for Women, Kurnool (2022–2024), and as Assistant Professor in the Department of CSE at K L University, Hyderabad (2021–2022). He was also Assistant Professor and Placement Trainer at G Pullaiha College of Engineering & Technology, Kurnool (2008–2021), where he contributed significantly to student training and placement initiatives.

Research & Publications

Dr. Rao has developed a strong multidisciplinary research profile spanning medical image segmentation, artificial intelligence, IoT, edge computing, cybersecurity and data science. His research output includes 29 publications comprising journal articles, book chapters and conference papers. His recent works focus on advanced applications such as kidney tumor segmentation using deep learning, brain tumor detection with explainable AI, breast tumor segmentation on edge devices, chronic kidney disease prediction and intelligent resource allocation in IoT networks. He has contributed to publications in prestigious venues including IEEE Transactions on Consumer Electronics, Frontiers in Medicine, Internet of Things, IEEE Access and Diagnostics.

Research Projects & Funding

Dr. Rao has secured research funding from The Institution of Engineers, India for the project titled "Development of Beaglebone Webcam Server for Security Surveillance" (2013–2015), with grant number RDPG2013027.

Teaching & Academic Contributions

Throughout his academic career, Dr. Rao has been instrumental in teaching core and advanced courses in computer science and data science. His teaching encompasses programming, data structures, algorithms, machine learning, deep learning and emerging technologies. He has supervised student projects and contributed to curriculum design in data science specialization.

Faculty Development & Professional Engagement

Dr. Rao holds the distinction of being an HPC Master Trainer certified by AICTE and CDAC, reflecting his commitment to continuous professional development and capacity building in high-performance computing. He has engaged in training and mentoring activities to enhance the skillsets of students and peers.

Awards, Honours & Professional Memberships

Dr. Rao is professionally affiliated with the Indian Society for Technical Education (ISTE) as a Member, and with the Institution of Engineers India as an Associate Member (AM151476-0), a position he has held since 2013. These memberships reflect his commitment to professional excellence and community engagement in engineering education.

Academic Qualifications

Dr. Rao holds a Ph.D. in Computer Science and Engineering from MS Ramaiah University of Applied Sciences, Bangalore (2017–2024), an M.Tech in CSE from Jawaharlal Nehru Technological University, Anantapur (2009–2012), and an MCA from Sri Kottam Tulasi Reddy Memorial College of Engineering (2004–2007). He completed his B.Sc in Computer Science and Engineering from St Joseph Degree College, Kurnool (2001–2004).

Peer Review Contributions

Dr. Rao has actively contributed to the peer review process across 10 reviews for 5 publications and grants, serving as a reviewer for reputable journals including Automatika, Computer Methods in Biomechanics and Biomedical Engineering, Computers in Biology and Medicine, Digital Health and Informatics in Medicine Unlocked.

Eligibility for Most Promising Researcher Award

Dr. Patike Kiran Rao demonstrates significant potential as a promising researcher through his 16+ years of consistent academic and research contributions, 29 peer-reviewed publications spanning multiple emerging domains, active research funding and professional memberships. His research trajectory reflects deepening expertise in AI-driven medical imaging, explainable AI, edge computing and IoT systems, areas of contemporary relevance and high impact. His engagement in peer review, faculty certification programs and interdisciplinary research further underscores his commitment to advancing the field.

Based on the achievements and credentials provided, Dr. Patike Kiran Rao is eligible for consideration for the Most Promising Researcher Award in Scientific Laurels, in recognition of his contributions to research innovation, publications, academic teaching and professional engagement in computer science and data science.