Pandaba Pradhan | Cloud Computing | Best Researcher Award
Dr. Pandaba Pradhan, BJB Auto College, Bhubaneswar, India.
Dr. Pandaba Pradhan, the Head of the P.G. Department of Computer Science at BJB Autonomous College, Bhubaneswar, is a dedicated academician and researcher specializing in cloud computing, compiler design, and computer architecture. With over 16 years of teaching experience and significant research contributions, including more than 20 publications, a patent, and an edited book, Dr. Pradhan exemplifies excellence in higher education. His work in cloud computing has garnered widespread recognition, with a paper exceeding 100 citations. He has mentored numerous UG and PG students while advancing the field with innovative insights.
Publication profile
Googlescholar
Education 
HSC: Board of Secondary Education, Odisha (1st Division)
+2 Science: Ravenshaw College, CHSE, Odisha (1st Division)
B.E.: BPUT, Rourkela (1st Division)
M.Tech: BPUT, Rourkela (1st Division)
Ph.D.: Utkal University, Odisha (Resource Management in Cloud Computing, Awarded 2021)
Experience 
- Over 16 years of teaching experience at UG and PG levels
- Specialized in Cloud Computing, Compiler Design, and Computer Architecture
Suitability For The Award
Dr. Pandaba Pradhan is a seasoned academic and researcher with over 16 years of teaching and research experience in computer science, specializing in cloud computing, compiler design, and computer architecture. His contributions to the field, demonstrated by his scholarly output and technical expertise, make him a strong candidate for the Best Researcher Award.
Professional Development
Dr. Pandaba Pradhan has continuously enriched his professional journey through substantial academic and research contributions. He has published over 20 scholarly articles in reputed national and international journals , secured a patent for innovative research
, and edited a significant academic book
. His expertise spans diverse domains, including digital logic, operating systems, and advanced software engineering. Beyond academia, Dr. Pradhan is a mentor to emerging scholars and a catalyst for research in cloud computing
. He remains dedicated to staying ahead in the fast-evolving tech landscape, bridging the gap between theoretical knowledge and practical applications.
Research Focus
Dr. Pandaba Pradhan’s research focuses on cloud computing, emphasizing resource management, a critical domain for optimizing cloud infrastructure . His work explores efficient allocation and utilization of resources, ensuring scalability and performance. Additionally, his expertise extends to compiler design, where he develops innovative methods to enhance computational efficiency
. Dr. Pradhan’s contributions also include advancements in computer architecture, paving the way for robust and reliable systems
. His research is impactful, as evidenced by a cloud computing paper with 100+ citations, reflecting his role in addressing contemporary challenges in technology.
Awards and Honors
Merit-Based Scholarship: For outstanding academic performance during M.Sc. at COMSATS University.
Best Research Poster Award: Recognized at a national mathematics conference for innovative work on PDE applications.
Distinction in FSc: Achieved top honors in Federal Board examinations.
Programming Excellence Certificate: Awarded for proficiency in Python and C++ during Ph.D. coursework.
Recognition of Contribution: For active participation in research collaboration projects at International Islamic University Islamabad.
Publoication Top Notes
-
Integrated Artificial Intelligence and Non-Similar Analysis for Forced Convection of Radially Magnetized Ternary Hybrid Nanofluid of Carreau-Yasuda Fluid Model Over a Curved Stretching Surface (2024)
-
Advanced Intelligent Computing ANN for Momentum, Thermal, and Concentration Boundary Layers in Plasma Electro Hydrodynamics Burgers Fluid (2024) – Cited by: 0
-
Analysis of Nonlinear Complex Heat Transfer MHD Flow of Jeffrey Nanofluid Over an Exponentially Stretching Sheet via Three Phase Artificial Intelligence and Machine Learning Techniques (2024)
-
Modeling and Predicting Heat Transfer Performance in Bioconvection Flow Around a Circular Cylinder Using an Artificial Neural Network Approach (2024)
-
Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow Through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions (2024) – Cited by: 1
-
Computational Intelligence Approach for Optimising MHD Casson Ternary Hybrid Nanofluid Over the Shrinking Sheet with the Effects of Radiation (2023) – Cited by: 17
-
Artificial Neural Network Simulation and Sensitivity Analysis for Optimal Thermal Transport of Magnetic Viscous Fluid Over Shrinking Wedge via RSM (2023) – Cited by: 20