Usama Bin Liaqat | Computational Fluid Dynamics | Best Researcher Award

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Mr. Usama Bin Liaqat | Computational Fluid Dynamics | Best Researcher Award

Mr. Usama Bin Liaqat, COMSATS University Islamabad Pakistan 

Usama Bin Liaqat is a dedicated Mathematics lecturer at the Higher Education Department in Punjab, Pakistan, with a Master’s in Mathematics from COMSATS University Islamabad, where he achieved a CGPA of 3.56. His thesis focused on heat and mass transfer of nanofluids over a rotating cone, utilizing advanced mathematical modeling. Proficient in tools like MATLAB and Wolfram Mathematica, Usama has published works in respected journals and completed certifications in Data Science and Cyber Security. Recognized for his excellence in teaching, he was awarded the Best Teacher of the Year in 2021. 📚💻✨

Publication Profile

Orcid

Education and Training

Usama Bin Liaqat has pursued advanced studies in mathematics, with a Master of Science from COMSATS University Islamabad, focusing on heat and mass transfer in nanofluid flow using innovative mathematical models. His thesis, which incorporates the Eyring-Powell fluid model, highlights his expertise in complex differential equations and numerical methods. His Bachelor’s degree from the International Islamic University Islamabad provides a strong foundation in mathematical concepts, making him well-versed in the field. His strong academic background and specialized focus in fluid dynamics are essential qualities for research innovation.

Work Experience

Currently a lecturer at the Higher Education Department in Punjab, Pakistan, Usama has experience teaching complex mathematical concepts, enhancing his communication skills and ability to transfer knowledge. His practical involvement in education, combined with his research experience, adds to his qualifications, demonstrating both his theoretical knowledge and real-world application. As an educator, he is positioned to contribute innovative teaching methodologies and research practices in mathematics.

Professional Certifications

Complementing his academic qualifications, Usama has earned certifications in Data Science and Cyber Security, expanding his knowledge base and enhancing his research capabilities in data analysis and security. These certifications reflect his multidisciplinary approach, critical for innovative research that intersects mathematics, technology, and data science.

Honors and Awards

Usama’s academic and teaching excellence is recognized through several awards, including the Prime Minister’s Laptop Scheme and the Best Teacher Award in 2021. His ability to balance teaching with research, while consistently achieving recognition, demonstrates his dedication to innovation and professional growth.

Conclusion

Usama Bin Liaqat is a strong candidate for the Research for Best Innovation Award, with a solid academic foundation, cutting-edge research in fluid dynamics, digital expertise, and multiple accolades in education. His diverse skill set, innovation in applied mathematics, and dedication to teaching make him a standout for recognition in research excellence.

 

Publication Top Note

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

Rafael Natalio Fontana Crespo | Computer Science | Young Scientist Award

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Mr. Rafael Natalio Fontana Crespo| Computer Science | Young Scientist Award

PhD Student,  Politecnico di Torino,  Italy

Rafael Natalio Fontana Crespo is a promising candidate for the Research for Young Scientist Award, showcasing a strong educational foundation and relevant professional experience. Currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, he previously earned a Master’s Degree in Mechatronic Engineering with the highest honors. His thesis focused on developing a software platform for additive manufacturing, highlighting his innovative capabilities. Rafael’s internship at EPEC involved analyzing thermal images to prevent failures, demonstrating his practical application of engineering concepts. Proficient in both Spanish and English, he excels in communication, facilitating collaboration in the global research community. His technical skills in programming and advanced software tools further position him for success in data-driven research. Coupled with his hardworking and sociable nature, Rafael embodies the qualities of a dedicated researcher. Overall, he is well-prepared to make significant contributions to engineering and technology, making him an ideal candidate for the award.

Profile:

Education

Rafael Natalio Fontana Crespo is currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, a program that builds on his solid academic foundation. He previously earned a Master’s Degree in Mechatronic Engineering from the same institution, graduating with top honors (110/110 cum laude). His master’s thesis, titled “Design and Development of a Distributed Software Platform for Additive Manufacturing,” highlights his ability to tackle advanced technological challenges. Prior to this, he studied Electromechanical Engineering at Universidad Nacional de Córdoba in Argentina, further broadening his expertise in engineering disciplines. Throughout his academic journey, Rafael has consistently demonstrated a commitment to excellence and innovation, equipping him with a robust theoretical framework and specialized knowledge essential for impactful research. His diverse educational background positions him to contribute significantly to advancements in engineering and technology.

 

Research Skills

Rafael Natalio Fontana Crespo possesses a diverse and robust set of research skills that position him as a promising candidate for the Research for Young Scientist Award. Currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, he has demonstrated exceptional aptitude in innovative problem-solving through his master’s thesis on a distributed software platform for additive manufacturing. His practical experience at EPEC involved analyzing thermal images of electrical components, showcasing his ability to apply theoretical knowledge to real-world challenges. Proficient in programming languages such as Python and C, as well as advanced software tools like MATLAB and Simulink, Rafael is adept at handling complex data analyses and simulations. Additionally, his strong command of both Spanish and English enhances his collaborative capabilities within the international research community. With his dedication to pushing technological boundaries, Rafael is well-equipped to contribute significantly to future research endeavors.

 

Professional Experiences

Rafael Natalio Fontana Crespo’s professional experience includes a valuable internship at Empresa Provincial de Energía de Córdoba (EPEC) in Argentina, where he contributed to the Statistics and Technical Department. During his time at EPEC, he was responsible for analyzing thermal images of electrical components to identify potential failures and mitigate risks. This work not only showcased his ability to apply engineering principles to practical challenges but also highlighted his proficiency in using data analysis to enhance operational safety. Rafael’s internship provided him with hands-on experience in a real-world industrial setting, complementing his academic studies in engineering. His role involved producing detailed technical reports, further honing his analytical and communication skills. This experience, combined with his advanced knowledge of programming, software tools, and automation systems, demonstrates his capability to integrate technical knowledge into practical solutions, making him well-suited for research-driven initiatives and engineering projects.

Award And Recognition

Rafael Natalio Fontana Crespo is a distinguished candidate for the Research for Young Scientist Award, showcasing remarkable achievements in the fields of engineering and technology. Currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, he has excelled academically, graduating cum laude with a Master’s Degree in Mechatronic Engineering. His innovative thesis on a distributed software platform for additive manufacturing highlights his dedication to advancing engineering practices. Additionally, Rafael’s practical experience at EPEC, where he analyzed thermal images for fault prevention, demonstrates his ability to apply theoretical knowledge to real-world challenges. With strong communication skills in both Spanish and English, along with proficiency in programming and data analysis tools, Rafael exemplifies the qualities of a future leader in research. His hard work, sociability, and passion for collaboration position him as an outstanding candidate for this prestigious award.

 

Conclusion

Rafael Natalio Fontana Crespo is a highly qualified candidate for the Research for Young Scientist Award, given his exceptional academic background, relevant professional experience, and diverse technical skills. Currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, he holds a Master’s degree in Mechatronic Engineering, graduating with honors. His thesis on distributed software platforms for additive manufacturing highlights his ability to tackle complex engineering challenges. Professionally, his internship at EPEC, where he analyzed thermal images of electrical components, demonstrates his hands-on experience in applying theoretical knowledge to real-world problems. Rafael is proficient in multiple programming languages, engineering software, and data analysis tools, making him well-suited for advanced research. His fluency in both Spanish and English further supports his ability to collaborate internationally and communicate his findings effectively. With a strong work ethic, problem-solving abilities, and a passion for innovation, Rafael is a standout candidate for this award.

Publication Top Notes

  • “A Comparative Analysis of Machine Learning Techniques for Short-Term Grid Power Forecasting and Uncertainty Analysis of Wave Energy Converters”
    • Authors: Rafael Natalio Fontana Crespo, Alessandro Aliberti, Lorenzo Bottaccioli, Edoardo Pasta, Sergej Antonello Sirigu, Enrico Macii, Giuliana Mattiazzo, Edoardo Patti
    • Year: 2024
    • Type: Journal article (Engineering Applications of Artificial Intelligence)
    • DOI: 10.1016/j.engappai.2024.109352
    • Citations: Not available yet (as of 2024)
  • “A Distributed Software Platform for Additive Manufacturing”
    • Authors: Rafael Natalio Fontana Crespo, Davide Cannizzaro, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Santa Di Cataldo
    • Year: 2023
    • Type: Conference paper (IEEE 28th International Conference on Emerging Technologies and Factory Automation)
    • DOI: 10.1109/etfa54631.2023.10275694
    • Citations: Not available yet (as of 2024)
  • “LSTM for Grid Power Forecasting in Short-Term from Wave Energy Converters”
    • Authors: Rafael Natalio Fontana Crespo, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Giorgio Fighera, Edoardo Patti
    • Year: 2023
    • Type: Conference paper (IEEE 47th Annual Computers, Software, and Applications Conference)
    • DOI: 10.1109/compsac57700.2023.00230
    • Citations: Not available yet (as of 2024)