Naushad Ali | Mechanical Engineering | Young Scientist Award

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🌟Mr. Naushad Ali, Mechanical Engineering, Young Scientist Award🏆

Naushad Ali at MJP Rohilkhand University, Bareilly, India

Naushad Ali is a recent graduate in Mechanical Engineering with a keen interest in research and problem-solving. He has demonstrated proficiency in various technical skills and has completed internships at CSIR-Central Building Research Institute and North Eastern Railway. Naushad is dedicated to continuous learning and has participated in additional training programs, earning certificates in areas such as energy literacy and advanced power electronics. He is an active member of academic associations and has volunteered in various organizations. Naushad’s diverse interests include poetry writing, drawing, and football playing.

Author Metrics

ORCID Profile

Naushad Ali’s research contributions are notable, evidenced by his author metrics such as publication count, citation count, and h-index. These metrics provide quantitative measures of his impact and productivity within the academic community. Naushad’s publications have been well-received and cited by peers, indicating the significance of his work in the field of Mechanical Engineering.

Education

Naushad Ali pursued his education with a focus on Mechanical Engineering. He completed his XII (Science) from Eram Inter College Indira Nagar Lucknow, Uttar Pradesh, and his X (Science) from A K I C Sapahi Buzurg Kushinagar, Uttar Pradesh. He obtained his Bachelor’s degree in Mechanical Engineering from Mahatma Jyotiba Phule Rohilkhand University, Bareilly.

Research Focus

Naushad Ali’s research primarily focuses on computational fluid dynamics, thermal management, and heat transfer enhancement in microchannel heat sinks. His projects and publications delve into optimizing heat sink designs for improved efficiency and exploring passive methods for thermal management. Naushad’s work contributes to advancements in cooling technologies and has practical applications in various industries.

Professional Journey

Naushad Ali’s professional journey includes internships at CSIR-Central Building Research Institute and North Eastern Railway, where he gained hands-on experience in research and mechanical workshop operations. He has also participated in training programs and conferences, broadening his knowledge and expertise in areas such as energy literacy, power electronics, and sustainable development.

Honors & Awards

Naushad Ali has been recognized for his academic excellence, receiving awards such as the Academic Excellence Award for securing the 2nd position in high school. His dedication to learning and research has been acknowledged through certificates and achievements in various training programs, workshops, and conferences.

Publications Noted & Contributions

Naushad Ali has made significant contributions to the field of Mechanical Engineering through his publications in reputed journals and conference papers. His research on heat dissipation, fluid flow analysis, and thermal management in microchannel heat sinks has garnered attention for its innovative approach and practical insights. Naushad’s work has advanced understanding in the areas of heat transfer enhancement and thermal optimization.

Title: Heat dissipation and fluid flow in micro-channel heat sink equipped with semi-elliptical pin-fin structures: A numerical study
Journal: International Communications in Heat and Mass Transfer
Date: 2024-04-17
DOI: 10.1016/j.icheatmasstransfer.2024.107492
Contributors: Naushad Ali, Shivam Srivastava, Injamamul Haque, Jagmohan Yadav, Tabish Alam, Tauseef Uddin Siddiqui, Md Irfanul Haque Siddiqui, Erdem Cuce
Summary: This article presents a numerical study on heat dissipation and fluid flow in a micro-channel heat sink equipped with semi-elliptical pin-fin structures. Naushad Ali and the team conducted simulations to analyze the performance of these structures, contributing to understanding heat transfer mechanisms in micro-channel heat sinks.

Title: Numerical analysis of various shapes of lozenge pin-fins in microchannel heat sink
Journal: International Journal of Chemical Reactor Engineering
Date: 2023-09-11
DOI: 10.1515/ijcre-2023-0092
Contributors: Injamamul Haque, Tabish Alam, Jagmohan Yadav, Naveen Kumar Gupta, Md Irfanul Haque Siddiqui, Tauseef Uddin Siddiqui, Naushad Ali, Shivam Srivastava, Anil Singh Yadav, Abhishek Sharma et al.
Summary: This article focuses on the numerical analysis of various shapes of lozenge pin-fins in a microchannel heat sink. Naushad Ali and colleagues investigated the thermal performance of different pin-fin configurations, contributing valuable insights into heat transfer enhancement techniques.

Title: Heat and Flow Characteristics in Microchannel Heat Sink: A Numerical Study
Conference: Frontiers in Desalination, Energy, Environment and Material Sciences for Sustainable Development (FEEMSSD-2023), International conference
Date: Conference paper
Contributors: Naushad Ali, Injamamul Haque, Jagmohan Yadav, Shivam Srivastava, Tauseef Uddin Siddiqui, Tabish Alam, Anil Singh Yadav, Abhishek Sharma
Summary: Presented at an international conference, this paper discusses the heat and flow characteristics in a microchannel heat sink through a numerical study. Naushad Ali and the team contributed to the conceptualization, formal analysis, methodology, and original draft writing of the research.

Title: Review of printed circuit heat exchanger for building applications
Type: Review
Contributors: Naushad Ali, Injamamul Haque, Shivam Srivastava, Jagmohan Yadav, Tauseef Uddin Siddiqui, Tabish Alam
Summary: This review article provides an overview of printed circuit heat exchangers for building applications. Naushad Ali and colleagues critically evaluated the use of these exchangers, offering insights into their suitability and efficiency in various contexts.

Research Timeline

Naushad Ali’s research journey has progressed through various stages, starting from his academic studies to internships and professional engagements. He has consistently pursued projects and publications, contributing to his growth as a researcher. His timeline reflects a commitment to continuous learning and exploration of new ideas and technologies in his field.

Collaborations and Projects

Naushad Ali has collaborated with multidisciplinary teams and research organizations on projects related to computational fluid dynamics, heat transfer analysis, and thermal optimization. His involvement in collaborative efforts has led to innovative solutions and practical outcomes in areas such as microchannel heat sinks and sustainable construction materials. Naushad’s projects showcase his ability to work effectively in teams and contribute expertise to complex research endeavors.

Byung Kwan Oh | Structural engineering | Best Researcher Award

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🌟Assist Prof Dr. Byung Kwan Oh, Structural engineering, Best Researcher Award 🏆

Assistant Professor at Yonsei University, South Korea

Byung Kwan Oh, Ph.D., is an accomplished Assistant Professor in the Department of Architecture and Architectural Engineering at Yonsei University. With a rich academic background in structural engineering, Byung Kwan focuses on innovative research areas such as artificial intelligence-based safety evaluation for buildings and multi-objective structural design. His expertise lies in structural health monitoring, seismic retrofitting, and sustainable design methodologies. Byung Kwan’s dedication to advancing knowledge in these fields is evident through his extensive publication record and active involvement in academia.

Author Metrics:

Byung Kwan Oh’s impact as a researcher is evidenced by his author metrics, including citation counts, h-index, and other measures of scholarly influence. His research publications have garnered attention from peers and experts in the field, demonstrating the significance and relevance of his work in advancing structural engineering practices.

Orcid Profile

Google Scholar Profile

Scopus Profile

Byung Kwan Oh is affiliated with Yonsei University in Seoul, South Korea. He has a Scopus Author Identifier with the ID 56134318500. Byung Kwan Oh has an ORCID profile with the ID 0000-0002-7422-2947. According to Scopus, he has 1,222 citations from 975 documents. Byung Kwan Oh has authored 53 documents and has an h-index of 22.

Education:

Byung Kwan Oh pursued his educational journey at Yonsei University in South Korea. He earned his Bachelor of Science in Architectural Engineering followed by a Master of Science and a Ph.D. in Structural Engineering. His doctoral thesis focused on modal influence-based system identification and sustainable structural health monitoring for buildings, showcasing his commitment to advancing structural engineering practices.

Research Focus:

Byung Kwan Oh’s research interests revolve around two main areas: artificial intelligence-based safety evaluation for buildings and multi-objective structural design. He utilizes cutting-edge techniques such as deep learning for damage detection, structural dynamics analysis, and optimization algorithms for seismic retrofitting and sustainable design. His work aims to enhance the safety, efficiency, and sustainability of building structures through innovative methodologies and technologies.

Professional Journey:

Byung Kwan Oh has built a diverse professional journey encompassing academic, research, and practical experiences. From his early days as an Associate Engineer at Posco E&C to his tenure as a Visiting Post-Doctoral Research Associate at Princeton University, he has gained valuable insights into various aspects of structural engineering. He has held positions as a Research Professor, Post-Doctoral Fellow, Lecturer, and Assistant Professor at esteemed institutions in South Korea and the United States, contributing significantly to both education and research in his field.

Honors & Awards:

Throughout his career, Byung Kwan Oh has been recognized for his outstanding contributions to structural engineering. His notable achievements include awards for his research publications, exemplary teaching performance, and impactful contributions to the field. These honors underscore his dedication to excellence and his significant impact on the academic and professional community.

Publications Top Noted & Contributions:

Byung Kwan Oh’s contributions to the field of structural engineering are reflected in his extensive publication record. He has authored numerous research papers, book chapters, and conference presentations that have advanced knowledge in structural health monitoring, seismic retrofitting, and sustainable design. His work has been widely cited and has made significant contributions to the academic discourse in his field.

“Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings” (2017, Applied Soft Computing):

  • Authors: BK Oh, KJ Kim, Y Kim, HS Park, H Adeli
  • Presents a sustainable strain sensing model for monitoring the structural health of high-rise buildings.
  • Utilizes evolutionary learning techniques to develop an efficient and sustainable approach to strain sensing.

“Convolutional neural network‐based wind‐induced response estimation model for tall buildings” (2019, Computer-Aided Civil and Infrastructure Engineering):

  • Authors: BK Oh, B Glisic, Y Kim, HS Park
  • Introduces a model for estimating wind-induced responses in tall buildings.
  • Utilizes convolutional neural networks (CNNs) to improve the accuracy and efficiency of response predictions.

“Vision-based system identification technique for building structures using a motion capture system” (2015, Journal of Sound and Vibration):

  • Authors: BK Oh, JW Hwang, Y Kim, T Cho, HS Park
  • Discusses a vision-based technique for identifying system properties of building structures.
  • Uses a motion capture system to gather visual data and analyze it for structural parameter identification.

“Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy” (2018, Automation in Construction):

  • Authors: HS Park, BK Oh
  • Describes a real-time structural health monitoring system for a supertall building under construction.
  • Utilizes a visual modal identification strategy to assess the building’s health and integrity during construction.

“Convolutional neural network–based data recovery method for structural health monitoring” (Structural Health Monitoring):

  • Authors: BK Oh, B Glisic, Y Kim, HS Park
  • Introduces a method for recovering missing or corrupted data in structural health monitoring systems.
  • Utilizes convolutional neural networks (CNNs) to reconstruct missing data, enhancing monitoring reliability.

Research Timeline:

Byung Kwan Oh’s research journey spans over a decade, beginning with his doctoral studies at Yonsei University and continuing through his various academic and research positions. His timeline reflects a progression from foundational research in structural dynamics and health monitoring to more advanced studies in artificial intelligence-based safety evaluation and multi-objective structural design. Each phase of his research journey has contributed to the evolution of his expertise and the advancement of knowledge in his field.