Sarat Mohapatra | Marine Dynamics and Hydrodynamics | Best Researcher Award

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Dr. Sarat Mohapatra | Marine Dynamics and Hydrodynamics | Best Researcher Award

Researcher | Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico | Portugal

Strengths for the Award 🏆

Dr. Sarat Chandra Mohapatra is a distinguished researcher with significant contributions to marine technology and ocean engineering, making him a strong candidate for the “Best Researcher Award“. As a Researcher at the Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, University of Lisbon, and an Adjunct Assistant Professor in Naval Architecture and Marine Engineering, Dr. Mohapatra has a rich academic background with a Ph. D. in Ocean Engineering and Naval Architecture from IIT Kharagpur. His work primarily focuses on hydro elasticity in water wave applications, particularly in developing innovative solutions for breakwaters and wave energy converters. His research excellence is reflected in over 50 scientific publications in reputed international journals, numerous awards, and his active participation in scientific communities. Dr. Mohapatra’s leadership in projects like HYDROELASTWEB showcases his commitment to advancing marine engineering technologies. His role as a reviewer and editor for esteemed journals further underscores his expertise and influence in the field, making him exceptionally well-qualified for this recognition.

📜 Short Bio

Dr. Sarat Chandra Mohapatra is a Junior Researcher at the Centre for Marine Technology and Ocean Engineering (CENTEC) and an Adjunct Assistant Professor in the Academic Unit of Naval Architecture and Marine Engineering at the Department of Mechanical Engineering (DEM), Instituto Superior Técnico (IST), University of Lisbon, Portugal. His research expertise spans hydroelasticity, marine dynamics, floating platforms, and aquaculture. Dr. Mohapatra is proficient in English and Portuguese and actively contributes to the academic and research community through his involvement in advanced marine engineering projects and teaching engagements.

🌐 Profile

Orcid

🎓 Education

Dr. Mohapatra completed his PhD in Ocean Engineering and Naval Architecture from the Indian Institute of Technology (IIT) Kharagpur, India, in 2013, where he achieved an “Excellent” grade. His dissertation focused on mathematical techniques in hydroelastic analysis of floating and submerged flexible structures. He holds an M.Phil. in Applied Mathematics with a specialization in Fluid Mechanics from Ravenshaw University, India, and an MSc in Applied Mathematics from Utkal University, India. His academic journey began with a BSc in Mathematics with Honors from Utkal University, India.

🏢 Experience

Dr. Mohapatra has a robust background in research and academia, currently holding the position of Junior Researcher at CENTEC, IST, supported by the Portuguese Foundation for Science and Technology (FCT). He has been part of various research projects, including HYDROELASTWEB and studies on wave energy systems. His teaching experience includes positions as an Adjunct Assistant Professor at IST, where he lectures on topics such as Ocean Wave Modeling, Vibrations of Ships and Platforms, and Coastal Engineering. Additionally, he has a history of supervising PhD and postdoctoral students in hydroelastic responses of offshore structures.

🔬 Research Interest

Dr. Mohapatra’s research interests include hydroelasticity, marine dynamics, hydrodynamics, floating platforms, and offshore aquaculture. He is particularly focused on the numerical analysis of floating and submerged flexible structures, utilizing advanced computational methods like ANSYS AQWA and Boundary Integral Equation Method (BIEM). His work aims to improve the understanding and design of marine structures, contributing to the advancement of ocean engineering.

🏆 Awards

Details on specific awards were not provided in the provided information. However, Dr. Mohapatra’s extensive research and academic contributions, including his participation in FCT and European-funded projects, demonstrate his recognition and excellence in the field of marine technology and ocean engineering.

📚 Publications

  • Mohapatra, S.C., & Guedes Soares, C. (2024). A Review of the Hydroelastic Theoretical Models of Floating Porous Nets and Floaters for Offshore Aquaculture. Journal of Marine Science and Engineering. [Link Pending Revision Submission]
  • Mohapatra, S.C., Guedes Soares, C., & Belibassakis, K. (2024). Current Loads on a Horizontal Flexible Membrane in a 3D Channel. Journal of Marine Science and Engineering, 12(9), 1583. DOI: 10.3390/jmse12091583.
  • Mohapatra, S.C., & Guedes Soares, C. (2024). Boussinesq Model for Two-Fluid System with Surface- and Interfacial Tension. Applied Ocean Research, 152, 104183. DOI: 10.1016/j.apor.2024.104183.
  • Mohapatra, S.C., Bispo, I.B.S., Guo, Y.C., & Guedes Soares, C. (2024). Analysis of Wave Induced Forces on a Floating Rectangular Box with Analytical and Numerical Approaches. Journal of Marine Science and Application, 23 (1), 113-126. DOI: 10.1007/s11804-024-00385-7.
  • Mohapatra, S.C., & Guedes Soares, C. (2024). A Semi-Analytical Model of an Array of Moored Floating Flexible Offshore Net Cages under Current Loads. Ocean Engineering, 291, 116309. DOI: 10.1016/j.oceaneng.2023.116309.
  • Mohapatra, S.C., & Guedes Soares, C. (2023). Hydroelastic Response of a Moored Floating Flexible Circular Structure Applying BIEM. Journal of Marine Science and Engineering, 11(12), 2322. DOI: 10.3390/jmse11122322.
  • Amouzadrad, P., Mohapatra, S.C., & Guedes Soares, C. (2023). Hydroelastic Response to the Effect of Current Loads on Floating Flexible Offshore Platform. Journal of Marine Science and Engineering, 11(2), 437. DOI: 10.3390/jmse11020437.

📝 Conclusion

Dr. Sarat Chandra Mohapatra is an accomplished researcher and educator in the fields of marine technology and ocean engineering. His dedication to advancing hydroelasticity and marine dynamics through innovative research and teaching methodologies makes him a valuable asset to the academic and scientific community. Dr. Mohapatra’s contributions are instrumental in shaping the future of offshore engineering and sustainable marine practices.

Zaharaddeen Karami Lawal | Marine Hydrodynamics | Best Researcher Award

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Mr. Zaharaddeen Karami Lawal | Marine Hydrodynamics | Best Researcher Award

 

PhD Candidate | Universiti Brunei Darussalam | Brunei Darrussalam

Best Researcher Award

Strengths for the Award

  1. Innovative Approach: The research employs advanced deep learning models (LSTM and BiLSTM) to forecast ocean wave and current parameters, which represents a novel and forward-thinking approach in the field of oceanography. This is particularly notable given the complexities of ocean dynamics and the multivariate time series involved.
  2. Comprehensive Methodology: The study uses rigorous experimentation, including hyperparameter optimization and cross-validation techniques, which enhances the robustness and reliability of the model. The performance evaluation across different forecast horizons and depths adds depth and credibility to the findings.
  3. High Accuracy and Potential Applications: The research successfully demonstrates high accuracy in predicting wave-current interactions, especially at higher depths, which is crucial for applications in coastal engineering, marine operations, and climate research. The ability of BiLSTM to outperform other models at these depths showcases its potential to revolutionize predictive models in these fields.
  4. Significant Contributions to the Field: By bridging computational fluid dynamics (CFD) and bathymetry research, the study addresses a critical gap in understanding the coupled dynamics of waves and currents. This integration can advance the field of coastal and ocean engineering significantly.
  5. Data-Driven Insights: The creation of a new dataset specifically for ocean waves and current parameters at varying depths highlights a significant contribution to the research community, offering valuable resources for future studies.

Areas for Improvement

  1. Nearshore Model Performance: While the research excels in deeper waters, it faces challenges in accurately predicting nearshore conditions where wave dynamics are highly complex. Addressing this limitation could broaden the applicability of the models to more coastal environments.
  2. Broader Validation: Although the research demonstrates promising results, broader validation using diverse datasets across different geographical regions would strengthen the generalizability of the findings. The study currently relies on specific datasets which may limit its applicability in varied oceanographic conditions.
  3. Exploration of Other Advanced Techniques: While LSTM and BiLSTM are powerful, exploring other state-of-the-art deep learning techniques like Transformers or hybrid models that combine physics-based and machine learning approaches could potentially yield even better performance.
  4. Long-Term Predictions and Temporal Coverage: Expanding the forecasting capabilities beyond the current short- to medium-term horizons (up to 24 hours) to include longer-term predictions would enhance the practical utility of the models in real-world applications.

Conclusion

This research makes a strong case for the “Best Researcher Award” due to its innovative use of deep learning techniques to tackle the complex problem of ocean wave-current interactions. The approach not only advances the state-of-the-art in predictive modeling but also provides valuable insights into coastal and ocean dynamics, which are crucial for numerous marine and environmental applications. By addressing identified areas for improvement, the research could further solidify its impact and applicability, reinforcing its position as a pioneering study in this domain.

🌟 Short Bio

Zaharaddeen Karami Lawal is a dedicated researcher and System Analyst with a strong foundation in computer science and data analytics. Currently pursuing his PhD in Systems Engineering at Universiti Brunei Darussalam, Zaharaddeen has made significant contributions in the fields of Big Data Analytics, Internet of Things, and Machine Learning. His work is characterized by a passion for innovation and a commitment to advancing knowledge in data science and digital technology.

📝 Profile

Scholar

🎓 Education

Zaharaddeen is currently pursuing a PhD in Systems Engineering at Universiti Brunei Darussalam, expected to complete his thesis in the first quarter of 2025. He earned an MSc in Computer Science with a specialization in Big Data Analytics from Jodhpur National University, India, graduating with First Class Honors in 2016. He also holds a BSc in Computer Science, specializing in Software Development and Networking, from Kano University of Science and Technology, Wudil, Nigeria, where he graduated with Upper Second Class Honors in 2012.

💼 Experience

Zaharaddeen has a diverse professional background, currently serving as a System Analyst at the ICT Directorate of Federal University Dutse, Nigeria, since 2020. In this role, he oversees the design, development, and maintenance of software and websites, manages server operations, and ensures data security across multiple platforms. He also held part-time lecturing positions at Kano State Polytechnic and the Institute of Corporate Security and Intelligence Studies, where he was involved in teaching, supervising student projects, and developing educational materials. His experience extends to web development and tutoring roles, where he contributed to website design, application development, and student engagement.

🔍 Research Interest

Zaharaddeen’s research interests are centered around Big Data Analytics, Data Science, Internet of Things, Machine Learning, Deep Learning, Time Series Forecasting, Physics-Informed Neural Networks, Natural Language Processing, and Digital Twin Technology. He is keen on exploring how these technologies can be harnessed to address complex challenges in various industries, including environmental monitoring, healthcare, and cybersecurity.

🏆 Awards

Details about specific awards and recognitions for Zaharaddeen Karami Lawal are not provided, but his ongoing contributions to research and academia reflect his commitment to excellence and his potential for future accolades in his field of expertise.

📚 Publications

Zaharaddeen has authored and co-authored several publications, contributing to prestigious journals and conferences. Here are some highlights:

  1. Understanding the Dynamics of Ocean Wave-Current Interactions using Multivariate Multi-Steps Time Series Forecasting
    Published in Applied Artificial Intelligence, Taylor and Francis, 2024
    Link to publication
    Cited by: Indexed in Scopus.
  2. Optimizing Coastal Wave Forecasting with LSTM: A Univariate Time Series Approach
    Presented at the International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 2024, Curtin University Malaysia
    Link to publication
    Cited by: Indexed in Scopus.
  3. Big Data Analytics in Bioinformatics and Healthcare
    Book Chapter in Cyber-Physical Systems Security: A Multidisciplinary Approach (CPS 2024), Springer
    Link to publication
    Cited by: Details available on publication platforms.
  4. Internet of Nano-Things (IoNT): A Comprehensive Review from Architecture to Security and Privacy Challenges
    Published in MDPI Journal Sensors, 2023
    Link to publication
    Cited by: Indexed in Scopus.
  5. New Random Intelligent Chemometric Techniques for Sustainable Geopolymer Concrete: Low-Energy and Carbon-Footprint Initiatives
    Published in Asian Journal of Civil Engineering, Springer, 2023
    Link to publication
    Cited by: Indexed in Scopus.
  6. Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis
    Published in MDPI Journal Big Data and Cognitive Computing, 2022
    Link to publication
    Cited by: 57 citations.
  7. Flood Prediction Using Machine Learning Models: A Case Study of Kebbi State Nigeria
    Presented at IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2021, Brisbane, Australia
    Link to publication
    Cited by: Indexed in Scopus.
  8. Stock Market Prediction Using Supervised Machine Learning Techniques: An Overview
    Presented at IEEE CSDE & i-COSTE 2020 International Conference, Gold Coast Australia
    Link to publication
    Cited by: 27 citations.