Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

Dr. Jagannadha Rao D B, Malla Reddy University, India

Dr. D. B. Jagannadha Rao is a dedicated academician and researcher in Computer Science and Engineering with over 15 years of experience. Currently serving as an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, he is deeply involved in fostering research and academic excellence. Dr. Rao’s Ph.D. in Graph Mining focused on developing innovative methods for frequent subgraph mining from distributed databases using MapReduce, contributing significantly to advancements in big data analysis. His career reflects a balance of academic leadership, research supervision, and curriculum development, as he has organized international conferences and shaped postgraduate programs. A recognized Ph.D. mentor, he has actively participated in building a vibrant research community. His professional memberships and administrative roles underline his commitment to advancing computational research and education.

Professional Profile

Google Scholar

Summary of Suitability for the Award

Dr. D. B. Jagannadha Rao stands out as a highly qualified and accomplished academic in the field of Computer Science and Engineering. With a strong academic foundation, including a Ph.D. in Graph Mining from Shri Jagdishprasad Jhabarmal Tibrewala University, Dr. Rao has demonstrated substantial expertise in frequent subgraph mining and large-scale data analysis using advanced computational techniques like MapReduce. His research contributes to the understanding and application of distributed database systems, a critical area in data science and big data analytics.

🎓 Education 

Dr. D. B. Jagannadha Rao holds a Ph.D. in Computer Science and Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, specializing in Graph Mining. His doctoral research, completed in 2021, addressed frequent subgraph mining from horizontally partitioned distributed databases using MapReduce, demonstrating advanced skills in handling large-scale data. He earned an M.Tech in Computer Science from JNTU Hyderabad in 2008, graduating with distinction, and a Master of Computer Applications from Osmania University in 2002. His foundational studies in science culminated in a B.Sc. in Mathematics, Physics, and Chemistry from Andhra University in 1998. This educational journey reflects a strong emphasis on both theoretical and applied computer science, preparing him for impactful research in data science and big data analysis.

💼   Professional Experience

Dr. D. B. Jagannadha Rao’s professional experience spans over 15 years, showcasing a comprehensive background in teaching and research. He is currently an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, where he has played a pivotal role in shaping the M.Tech curriculum and overseeing Ph.D. research programs. Previously, he was an Assistant Professor at Wolkite University, Ethiopia, and served as Associate Professor at Sreenidhi Institute of Science and Technology, Hyderabad, where he managed key academic and administrative responsibilities. He began his career as a lecturer at St. Xavier’s P.G. College and Sravanthi P.G. College in Hyderabad. His roles have involved curriculum design, conference coordination, and departmental leadership, demonstrating his capability to contribute significantly to academic and research excellence.

🏅  Awards and Recognition

Dr. D. B. Jagannadha Rao has been recognized for his academic and research contributions. As the Ph.D. Coordinator and R&D Coordinator at Malla Reddy University, he has made impactful contributions to the university’s research ecosystem. He has successfully coordinated prestigious international conferences, such as the 2nd and 3rd International Conferences on Intelligent Systems & Sustainable Computing, organized in collaboration with Springer. Additionally, he has been acknowledged as a research supervisor at Visvesvaraya Technological University and Malla Reddy University, mentoring numerous doctoral students. His active membership in esteemed organizations, including the Computer Society of India (Life Member) and the Computer Science Teachers Association, highlights his professional stature. His academic and research excellence has consistently brought him recognition as a key contributor to the development of computer science curricula and conference organization.

🌍  Research Skills

Dr. D. B. Jagannadha Rao is proficient in advanced research skills, particularly in the field of Graph Mining. His expertise in frequent subgraph mining and the use of MapReduce for distributed data processing showcases his ability to tackle complex big data challenges. He is skilled in data analysis, algorithm development, and distributed computing, which are critical for handling large-scale databases. His research involves applying these computational methods to optimize data retrieval and mining processes. Additionally, Dr. Rao is adept at research supervision, guiding Ph.D. students through comprehensive data science projects. His experience in academic program development, conference coordination, and curriculum design has further refined his research management capabilities, making him a valuable contributor to academic research in computer science.

📖 Publication Top Notes

  • Title: A Study on Dynamic Source Routing Protocol for Wireless Ad Hoc Networks
    Cited by: 43
  • Title: Lung Cancer Detection and Severity Level Classification Using Sine Cosine Sail Fish Optimization-Based Generative Adversarial Network with CT Images
    Cited by: 12
  • Title: Exponentially‐Spider Monkey Optimization Based Allocation of Resource in Cloud
    Cited by: 12
  • Title: Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework
    Cited by: 3*
  • Title: Distributed Frequent Subgraph Mining Using Gaston and MapReduce
    Cited by: 3

Excellence in Research

Excellence in Research

Introduction: Welcome to the realm of Excellence in Research. This prestigious award celebrates innovation, dedication, and groundbreaking contributions in the field of research. Through this platform, we aim to honor individuals who have demonstrated outstanding achievements, pushing the boundaries of knowledge and fostering advancements that positively impact society.

Award Eligibility: Eligibility for the Excellence in Research award is open to researchers across all disciplines and backgrounds. There are no age limits or specific qualifications required. Candidates must showcase a substantial body of work, including publications, patents, or significant contributions to their respective fields.

Evaluation Criteria: Candidates will be evaluated based on the originality, significance, and impact of their research endeavors. The judging panel will consider the depth of contributions, potential for future developments, and the overall influence on the scientific community and beyond.

Submission Guidelines: To nominate yourself or someone else for the Excellence in Research award, submit a comprehensive dossier detailing the nominee's research achievements, along with supporting documents such as publications, patents, and testimonials. Submissions should be sent electronically following the guidelines outlined on our website.

Recognition: Recipients of the Excellence in Research award will receive public recognition for their outstanding contributions, including a prestigious trophy, certificate, and opportunities for media coverage. Additionally, awardees will join an esteemed network of past recipients, facilitating collaboration and knowledge exchange.

Community Impact: The Excellence in Research award not only celebrates individual excellence but also underscores the broader impact of research on society. Through recognizing groundbreaking discoveries and advancements, we aim to inspire future generations of researchers and foster innovation for the betterment of humanity.

Biography and Abstract: Each submission should include a brief biography highlighting the nominee's academic and professional background, as well as an abstract summarizing their key research findings and contributions. These components provide essential context for evaluating the nominee's achievements.

Supporting Files: Supporting files, such as publications, patents, and additional documentation, should accompany the nomination dossier to provide comprehensive insights into the nominee's research portfolio.