Dr. Gubba Balakrishna: Assistant professor at Anurag University, India
Dr. Gubba Balakrishna is a seasoned academician and researcher with over 15 years of experience in teaching, research, and consultancy. He currently serves as an Associate Professor at Anurag University, where he is deeply involved in advancing the academic and research capabilities of the Computer Science and Engineering department. Dr. Balakrishna specializes in Internet of Things (IoT), Data Analytics, Machine Learning, and their applications in agriculture. His academic journey is complemented by a robust research portfolio that bridges the gap between technology and real-world agricultural challenges, focusing on developing cloud-based frameworks and optimizing agricultural processes. With a passion for research and mentoring, he has guided numerous undergraduate and postgraduate students, fostering a culture of academic excellence. He is also highly involved in organizing and reviewing academic conferences and journals.
Online Profiles
Citations: 212 (Since 2020), 210 (Total)
h-index: 7
i10-index: 7
These metrics highlight Dr. Balakrishna’s influence in the academic community, with over 200 citations since 2020. His h-index of 7 demonstrates a consistent contribution to the field, while his i10-index indicates that several of his papers have been highly cited.
Education
Ph.D., Computer Science and Engineering (2021)
Dissertation: Agriculture as a Service (AAAS): An ESBL cloud service model for IoT-supported agriculture data analytics
KL University, Guntur.
Dr. Balakrishna’s doctoral research aimed to enhance agricultural practices by integrating cloud-based services with IoT frameworks, optimizing data analytics, and improving the efficiency of agricultural operations.M.Tech., Computer Science and Engineering (2011)
Aurora Research Scientific Technology, JNTU, Hyderabad.
His M.Tech. thesis explored advanced computational methods in data science and their applications in real-time systems.B.Tech., Computer Science and Engineering (2007)
Sree Visvesvaraya Institute of Technology and Sciences, JNTU, Hyderabad.
A solid foundation in computer science was established during his undergraduate studies, where he was introduced to the basic principles of programming, networks, and algorithms.
Research Focus
Dr. Balakrishna’s research focuses on the intersection of advanced technologies such as the Internet of Things (IoT), Big Data Analytics, Deep Learning, and Agriculture. His work primarily revolves around developing scalable IoT solutions that can improve agricultural practices through data-driven decision-making. This includes the creation of frameworks for cloud-based IoT services for agriculture, energy-efficient data processing, and machine learning models for disease detection in crops. His research also extends to the optimization of IoT device placement, edge computing applications, and natural language processing (NLP) for smart agriculture systems. By leveraging these technologies, his work aims to make agriculture more sustainable, efficient, and data-driven.
Experience
Dr. Balakrishna’s academic career spans over 15 years, during which he has contributed to both teaching and research. As an Associate Professor in the Department of Computer Science and Engineering at Anurag University, he has been instrumental in shaping the department’s curriculum and guiding students through complex research projects. His teaching spans undergraduate and postgraduate courses in subjects such as IoT, Machine Learning, Android Development, Big Data Analytics, and more. In addition to his teaching role, Dr. Balakrishna has also been actively involved in academic administration, curriculum development, and the organization of technical workshops, conferences, and seminars. His leadership extends to mentoring and supervising numerous undergraduate and graduate students, guiding them to achieve successful project outcomes.
Research Timeline & Activities
2021 – Present: Dr. Balakrishna’s current research is focused on advancing the use of IoT in agriculture, particularly in disease detection and crop maintenance. He is developing deep learning models and cloud-based systems for real-time agricultural data analytics.
2019 – 2020: He worked extensively on optimizing cloud services and load balancing for IoT applications. His work in this period led to the design of ESBL, a cloud-integrated framework for IoT load balancing that has implications for agriculture and other IoT-driven sectors.
2017 – 2019: During these years, Dr. Balakrishna researched the integration of edge computing with IoT for optimized data processing in agriculture. This work aimed to reduce latency and improve decision-making processes in real-time applications.
2016 – 2017: Early in his career, Dr. Balakrishna explored the use of machine learning and big data analytics in healthcare and agriculture. His research during this period focused on the applications of data analytics to improve operational efficiencies.
Awards & Honors
Best Research Award (2022): Dr. Balakrishna received the Best Research Award from IJIEMR-Elsevier SSRN for his excellence in research contributions, recognizing his innovative work in IoT and agriculture.
Reviewer for PeerJ Computer Science and Inderscience: He has been a reviewer for prominent SCIE journals, ensuring the quality and relevance of published research in the field of computer science and engineering.
Organizing Committee Member for ICACII-2023: Dr. Balakrishna served as the Co-Convener of the International Conference on Advances in Computational Intelligence and Informatics (ICACII-2023), a Scopus-indexed event that brought together leading researchers and practitioners.
Leadership in Academic Outreach: Dr. Balakrishna has organized and coordinated more than 10 Faculty Development Programs (FDPs), working closely with premier institutions like NIT Warangal, IIT Hyderabad, and TCS to enhance academic standards.
Top Noted Publications
Moparthi, N.R., Balakrishna, G., Chithaluru, P., Kolla, M., Kumar, M. (2023). An improved energy-efficient cloud-optimized load-balancing for IoT frameworks. Heliyon, 9(11).
Citations: 39
This paper presents a novel cloud-optimized load-balancing mechanism designed for IoT frameworks, with a focus on energy efficiency and system scalability.Balakrishna, G., Nageshwara Rao, M. (2019). Study report on using IoT agriculture farm monitoring. Innovations in Computer Science and Engineering: Proceedings of the Sixth International Conference.
Citations: 38
This study investigates the use of IoT systems in agricultural farm monitoring, focusing on efficiency, real-time data processing, and the integration of IoT devices for improved farm management.Balakrishna, G., Moparthi, N.R. (2020). Study report on Indian agriculture with IoT. International Journal of Electrical and Computer Engineering, 10(3), 2322.
Citations: 37
The publication outlines the potential applications of IoT in the Indian agricultural sector, exploring the benefits and challenges of implementing IoT-based solutions for enhanced agricultural productivity.Balakrishna, G., Moparthi, N.R. (2019). ESBL: Design and Implement A Cloud Integrated Framework for IoT Load Balancing. International Journal of Computers Communications & Control, 14(4), 459-474.
Citations: 28
This work introduces the ESBL framework, which integrates cloud services with IoT networks to optimize load balancing and improve system performance in large-scale applications.G. Vishnu Murthy, Swathireddy, M., Balakrishna, G. (2019). Big Data Analytics for Popularity Prediction. Journal of Physics: Conference Series, 1228(1), 012051.
Citations: 21
The paper explores the use of big data analytics for predicting the popularity of social media content, demonstrating the application of data science in social media trend forecasting.Balakrishna, G., Murthy, G.V., Nageshwara Rao, M., Narayana, M.V. (2022). Implementing Solar Power Smart Irrigation System. Innovations in Computer Science and Engineering: Proceedings of the Ninth International Conference.
Citations: 20
This paper discusses the development of a solar-powered smart irrigation system, focusing on sustainable energy solutions for irrigation in agricultural practices.
Strengths for the Sustainable Technology Award
1. Innovative Cloud-Based IoT Solutions for Agriculture
Dr. Balakrishna’s research has significantly advanced the application of cloud-based IoT solutions in agriculture. His development of the ESBL framework and energy-efficient cloud-optimized load balancing mechanisms has the potential to revolutionize farming practices by improving operational efficiency and reducing energy consumption in IoT systems. These innovations contribute to the sustainability of agricultural practices by optimizing data processing and reducing environmental impacts. His research has already garnered 212 citations (since 2020), highlighting the growing influence of his work in the academic community.
2. Integration of Renewable Energy for Sustainable Irrigation
One of Dr. Balakrishna’s notable contributions is his work on solar-powered smart irrigation systems. By integrating renewable energy sources with IoT-driven systems, his research provides a sustainable solution to the water and energy challenges faced by agriculture. This approach not only enhances water management but also promotes the use of green technologies in farming, making it more eco-friendly and resource-efficient.
3. Use of Big Data and AI for Precision Agriculture
Dr. Balakrishna’s research leverages big data analytics and machine learning to enhance precision agriculture. Through advanced data processing techniques, his work enables farmers to make more informed decisions, optimize resources, and predict crop diseases or failures early. This helps mitigate the environmental impact of farming by reducing waste and promoting sustainable agricultural practices.
4. Edge Computing and Real-Time Data Processing in Agriculture
By incorporating edge computing with IoT networks, Dr. Balakrishna has developed systems that can process agricultural data in real time. This reduces the latency in decision-making, allowing farmers to react quickly to changing environmental conditions and optimize crop management. Real-time data processing improves operational efficiency and reduces the need for resource-intensive infrastructure, contributing to a more sustainable agricultural ecosystem.
5. Educational Outreach and Capacity Building
Dr. Balakrishna’s leadership in organizing faculty development programs and his involvement in academic conferences reflect his dedication to building capacity in sustainable technologies. By collaborating with leading institutions and industries, he has fostered an environment of continuous learning and knowledge transfer, empowering the next generation of researchers and practitioners in sustainable technology fields. His efforts in educating and mentoring students and professionals further the cause of sustainable technological development.