Hafiz Muneeb Ahmad | Engineering | Best Researcher Award

Mr. Hafiz Muneeb Ahmad | Engineering | Best Researcher Awardย 

Mr. Hafiz Muneeb Ahmad, University of Tulsa, United States.

๐Ÿ”น Hafiz Muneeb Ahmad is a dedicated HVAC engineer and Ph.D. researcher in Mechanical Engineering at the University of Tulsa. With a strong academic background, including an M.Sc. in Thermal Power Engineering and a B.Sc. in Mechanical Engineering, he specializes in erosion and corrosion analysis in multiphase flows using CFD simulations. His professional experience spans HVAC system design, energy management, and experimental research. His technical expertise, leadership skills, and commitment to innovation make him a distinguished researcher in the field. ๐Ÿš€

ย Professional Profile

Orcid Profile

Google Scholar Profile

๐ŸŽ“ Early Academic Pursuits

Hafiz Muneeb Ahmad embarked on his academic journey with a strong inclination towards mechanical engineering. He pursued his Bachelor of Science (B.Sc.) in Mechanical Engineering at Lahore Leads University (LLU), where he secured 1st position with an impressive CGPA of 3.70 out of 4.0. His undergraduate thesis focused on the Design and Fabrication of a Mini Cooling Tower, demonstrating his early interest in thermal power systems. Continuing his education, he earned a Master of Science (M.Sc.) in Thermal Power Engineering from the University of Engineering & Technology Lahore (UET), achieving a CGPA of 3.62 out of 4.0. Currently, he is pursuing a Doctor of Philosophy (Ph.D.) in Mechanical Engineering at the University of Tulsa, maintaining a CGPA of 3.60 out of 4.0. His academic foundation is built upon advanced coursework in heat and mass transfer, HVAC systems, finite element methods, and fluid dynamics.

๐Ÿ’ผ Professional Endeavors

Muneeb has extensive industry experience as an HVAC Engineer and Site Engineer. He has worked with MecaTech Private Ltd. as a Site Engineer (March 2022 – Present), where he oversees HVAC system operations, energy management, and quality assurance. Before this, he was an HVAC Engineer at MA Engineering Services International (Oct 2019 – March 2022), managing chiller operations, system maintenance, and troubleshooting. His responsibilities included energy-efficient measures, BMS integration, heating and cooling load calculations, and HVAC testing and commissioning.

๐Ÿ”ฌ Contributions and Research Focus Onย  Engineering

Muneebโ€™s research is focused on erosion and corrosion in pipelines, specifically analyzing Plugged Tees vs. Elbows in multiphase flows (Liquid-solid, Gas-solid, and Liquid-Solid-Gas flows). His research employs Computational Fluid Dynamics (CFD), Ansys Fluent, Eulerian-Eulerian approach, and Discrete Phase Model (DPM) to validate experimental results. His contributions extend to the Erosion Corrosion Research Center at the University of Tulsa, where he conducts extensive experimental studies and data analysis.

๐ŸŒ Impact and Influence

Muneebโ€™s work has significantly contributed to the understanding of pipeline erosion in industrial applications. His findings aid in optimizing HVAC and thermal power systems, improving energy efficiency, system durability, and cost-effective maintenance strategies. Through his role as a Teaching Assistant at the University of Tulsa, he actively mentors undergraduate students, sharing his expertise in mechanical engineering and HVAC systems.

๐Ÿ“š Academic Citations

Muneebโ€™s research has been acknowledged in academic publications and conference presentations. His studies on pipeline erosion and corrosion mechanisms are relevant to petroleum, chemical, and mechanical engineering sectors, contributing to the advancement of fluid dynamics and material science research.

๐Ÿ… Awards and Honors

Throughout his academic and professional journey, Muneeb has received recognition for his academic excellence, research contributions, and leadership in HVAC engineering. His 1st position in his undergraduate program and his involvement in advanced research projects highlight his dedication and expertise.

๐Ÿš€ Legacy and Future Contributions

With a solid academic and professional background, Muneeb aims to contribute to the development of energy-efficient HVAC systems, advanced pipeline erosion analysis, and cutting-edge thermal power engineering techniques. His future goals include publishing influential research papers, mentoring young engineers, and innovating sustainable energy solutions.

Publications Top Notes

๐Ÿ“„ Experimental and CFD Analysis of Erosion in Plugged Tees in Series

๐Ÿ‘ฅ Authors: HM Ahmad, J Zhang, S Shirazi, S Karimi
๐Ÿ“š Journal: Wear, 205956
๐Ÿ”ข Citations: 1
๐Ÿ“… Year: 2025

๐Ÿ“„ A Novel Technique for Determining Threshold Sand Rates from Acoustic Sand Detectors for Well Integrity Management

๐Ÿ‘ฅ Authors: A Nadeem, M Hasan, F Biglari, H Ahmad, A Ali, RE Vieira, SA Shirazi
๐Ÿ“š Conference: Abu Dhabi International Petroleum Exhibition and Conference, D021S064R008
๐Ÿ”ข Citations: 1
๐Ÿ“… Year: 2024

Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala, IIT Bombay, India.

Dr. Ramana Raja Buddala is a Ph.D. candidate at IIT Bombay, specializing in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His research focuses on damage detection in composite honeycomb sandwich structures using ultrasonic guided waves. With a background in Structural Engineering (M.Tech from IIT Kharagpur), his work integrates AI and ML applications in SHM. Dr. Buddala has published extensively in leading journals such as Scientific Reports and Smart Materials and Structures. His expertise in signal processing, AI, and mentoring students demonstrates his significant contributions to the field of structural engineering and his commitment to academic excellence.

๐Ÿ‘จโ€๐ŸซProfessional Profile:

๐ŸŒŸSuitability for Best Researcher Award

Dr. Ramana Raja Buddala is an exceptional candidate for the Excellence in Research Award, possessing a strong academic foundation and a diverse range of research interests, particularly in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His doctoral work at IIT Bombay, focused on damage detection in honeycomb composite sandwich structures using ultrasonic guided wave propagation, highlights his innovative approach and advanced technical expertise. With over five publications in reputable journals and conference proceedings, Dr. Buddala has made significant contributions to the field, including the integration of AI and ML techniques in SHM applications. He is well-versed in advanced signal processing, ultrasonic testing, and finite element modeling, alongside proficiency in programming languages like MATLAB and Python. Dr. Buddala has demonstrated mentoring capabilities and has also contributed to academia through teaching roles at various institutes.

๐ŸŽ“ย Educational Background:

Dr. Ramana Raja Buddala completed his Ph.D. at IIT Bombay (2019โ€“2024), where his research focused on the damage detection and assessment of honeycomb composite sandwich structures using ultrasonic guided wave propagation. Prior to his doctoral studies, he earned an M.Tech in Structural Engineering from IIT Kharagpur (2006โ€“2011), where he worked on improving the delamination resistance capacity of sandwich composite columns. Dr. Buddala also completed his B.Tech in Civil Engineering from IIT Kharagpur through a dual-degree program, gaining a solid foundation in engineering principles that supported his subsequent research and academic career.

๐Ÿ’ผ Professionalย Experience:

Dr. Ramana Raja Buddala has extensive teaching and industrial experience. As a Teaching Assistant at IIT Bombay from 2019 to 2024, he contributed to courses such as Non-Destructive Testing of Materials and Structural Mechanics. Previously, he taught at NIT-AP and ANITS, covering subjects like Concrete Technology and Structural Analysis. In industry, Dr. Buddala worked as a Structural Engineer at NMDC and United Gulf Construction Consortium, where he gained hands-on experience in large-scale projects like an 8-lane expressway and a 1.2 MTPA pellet plant. His diverse background bridges academic excellence and practical engineering applications.

๐ŸŒResearch Contributions On Engineeringย 

Dr. Buddala’s work on the non-destructive evaluation of composite materials, including his contributions to the development of unsupervised deep learning frameworks for temperature-compensated damage assessment, highlights his innovative approach to SHM. His pioneering research on the interaction between ultrasonic-guided waves and structural damage has advanced the understanding of damage detection techniques, which are crucial for industries relying on composite and metallic structures. With multiple publications in top-tier journals, including Scientific Reports and Smart Materials and Structures, his contributions have established him as a thought leader in his field.

๐Ÿ’กRecognition and Impact:

Dr. Ramana Raja Buddala has made significant contributions to the field of Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE), earning recognition for his innovative research on damage detection in composite structures using ultrasonic guided waves. His work has been published in prestigious journals, such as Scientific Reports and Smart Materials and Structures, highlighting the impact of his findings on both academia and industry. Dr. Buddalaโ€™s application of AI and ML in SHM has opened new avenues for advanced structural assessments. His mentorship and technical expertise have influenced numerous students, enhancing the broader engineering communityโ€™s research capabilities.

Conclusion:

Dr. Ramana Raja Buddalaโ€™s impressive blend of academic achievements, impactful research, hands-on experience with cutting-edge technologies, and dedication to mentorship underscores his eligibility for the Excellence in Research Award. His continued contributions to the fields of structural engineering and health monitoring through innovative methodologies make him a deserving candidate for this prestigious recognition.

 

๐Ÿ“šPublication Top Notes

Multi-stage guided wave technique for estimating the shape and size of multiple damages in honeycomb sandwich structures

Journal: Measurement

DOI: 10.1016/j.measurement.2025.116724

Year: 2025 ๐Ÿ“…

Contributors: Ramana Raja Buddala, Rohan Soman, Siddharth Tallur, Sauvik Banerjee

The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network

Journal: Smart Materials and Structures

DOI: 10.1088/1361-665X/ace40b

Year: 2023 ๐Ÿ“…

Contributors: Ramana Raja B, Sheetal Patil, Pankhi Kashyap, Siddharth Tallur, Sauvik Banerjee

 

 

 

Dong-Bin Kwak | Engineering | Best Researcher Award

Assist. Prof. Dr Dong-Bin Kwak | Engineering | Best Researcher Award

Assist. Prof. Dr Dong-Bin Kwak, Seoul National University of Science and Technology, South Korea

Dr. Dong-Bin Kwak is an accomplished researcher and Assistant Professor at Seoul National University of Science and Technology, specializing in aerosol science, filtration systems, and fluid dynamics. He earned his Ph.D. in Mechanical Engineering from the University of Minnesota and a Bachelor of Science (summa cum laude) from Hanyang University. His expertise spans nanoparticle engineering, air and liquid contamination control, heat transfer, and gas-to-particle conversion. With significant industry experience at Onto Innovation and collaborations with Samsung Electronics and LG, he has advanced technologies in filtration and particle measurement. Recognized through prestigious awards, he continues to drive impactful innovations in his field.

Author Profile:

Summary of Suitability for Best Researcher Award

๐ŸŽ“ย Education:

Dr. Dong-Bin Kwak holds a Ph.D. in Mechanical Engineering from the University of Minnesota, Twin Cities, where he conducted extensive research on aerosol science, contamination control, and filtration systems. Prior to this, he earned a Bachelor of Science degree in Mechanical Engineering with summa cum laude honors from Hanyang University, Seoul, Korea. Throughout his academic journey, Dong-Bin consistently demonstrated exceptional performance, receiving numerous scholarships and awards, including the National Engineering Fully Funded Scholarship. His education provided a solid foundation in fluid dynamics, heat transfer, and nanoparticle engineering, enabling him to excel in both academic research and industry applications.

๐Ÿ’ผ Professionalย Experience:

Dr. Dong-Bin Kwak has extensive professional experience in both academia and industry. Currently, he serves as an Assistant Professor at Seoul National University of Science and Technology, leading projects in nanoparticle engineering, air filtration, and slurry filtration systems. Previously, he worked as an Applications Scientist at Onto Innovation, where he developed next-generation automated optical inspection systems for semiconductor manufacturing. During his Ph.D. at the University of Minnesota, he contributed significantly to contamination control, filtration efficiency, and aerosol science research. His expertise includes experimental and numerical methods, advanced filtration technologies, and fluid dynamics, showcasing his ability to bridge research and practical applications.

๐ŸŒResearch Contributions:

Dr. Dong-Bin Kwak has made significant contributions to aerosol science, nanoparticle engineering, and filtration technologies. His research encompasses developing advanced air and liquid filtration systems, optimizing heat transfer processes, and improving contamination control methods. Notable achievements include the development of real-time size-resolved filtration efficiency measurement systems, hydrosol calibration methods, and numerical optimization codes for radial heat sinks. His work with industry leaders like Samsung Electronics and LG has advanced particle characterization and slurry filtration technologies. By combining experimental methods with numerical simulations, his research addresses critical challenges in semiconductor manufacturing, environmental protection, and filtration performance, driving innovation across multiple fields.

๐Ÿฅ‡Award and Honors:

Dr. Dong-Bin Kwak has made significant research contributions in aerosol science, filtration systems, and fluid dynamics, advancing both theoretical and applied aspects of these fields. His work includes developing high-precision nanoparticle measurement systems, optimizing air and liquid filtration efficiency, and innovating gas-to-particle conversion techniques. At the University of Minnesota, he contributed to contamination control, electrospun nanofiber filtration, and airborne molecular contamination detection. Currently, as Principal Investigator at SeoulTech, he leads projects on slurry filtration, real-time air filtration evaluation, and AI-driven heat sink optimization. His research impacts industries ranging from semiconductors to environmental engineering, reflecting his innovative and multidisciplinary approach.

Conclusion:

Dr. Dong-Bin Kwak is a highly accomplished researcher whose work has significantly advanced the fields of aerosol science, filtration, and fluid dynamics. His innovative contributions to nanoparticle engineering and air filtration systems have led to breakthroughs in contamination control and particle measurement. With a strong academic background, including a Ph.D. from the University of Minnesota, and industry experience with leading companies like Samsung Electronics and LG, he has garnered widespread recognition through prestigious awards. His exceptional research, leadership, and dedication to scientific innovation make him a deserving candidate for the Best Researcher Award.

๐Ÿ“šPublication Top Notes:

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Journal: Aerosol and Air Quality Research

Citations: 36 ๐Ÿ“„

Year: 2020 ๐Ÿ—“๏ธ

Inverse heat conduction modeling to predict heat flux in a hollow cylindrical tube having irregular cross-sections

Journal: Applied Thermal Engineering

Citations: 31 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

Cooling performance of a radial heat sink with triangular fins on a circular base at various installation angles

Journal: International Journal of Thermal Sciences

Citations: 23 ๐Ÿ“„

Year: 2017 ๐Ÿ—“๏ธ

Numerical investigation of nanoparticle deposition location and pattern on a sharp-bent tube wall

Journal: International Journal of Heat and Mass Transfer

Citations: 20 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

Optimization of the radial heat sink with a concentric cylinder and triangular fins installed on a circular base

Journal: Journal of Mechanical Science and Technology

Citations: 19 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

Natural convection flow around heated disk in cubical enclosure

Journal: Journal of Mechanical Science and Technology

Citations: 17 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanningโ€ฆ

Journal: Powder Technology

Citations: 15 ๐Ÿ“„

Year: 2019 ๐Ÿ—“๏ธ

Influence of colloidal particles with bimodal size distributions on retention and pressure drop in ultrafiltration membranes

Journal: Separation and Purification Technology

Citations: 13 ๐Ÿ“„

Year: 2019 ๐Ÿ—“๏ธ

Experimental study of nanoparticle transport and penetration efficiency on a sharp-bent tube (elbow connection)

Journal: International Journal of Heat and Mass Transfer

Citations: 10 ๐Ÿ“„

Year: 2020 ๐Ÿ—“๏ธ

Modeling pressure drop values across ultra-thin nanofiber filters with various ranges of filtration parameters under an aerodynamic slip effect

Journal: Scientific Reports

Citations: 9 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ

Characterization of handheld disinfectant sprayers for effective surface decontamination to mitigate severe acute respiratory coronavirus virus 2 (SARS-CoV-2) transmission

Journal: Infection Control & Hospital Epidemiology

Citations: 9 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

Quantitative analysis of droplet deposition produced by an electrostatic sprayer on a classroom table by using fluorescent tracer

Journal: Building and Environment

Citations: 8 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

Study on droplet dispersion influenced by ventilation and source configuration in classroom settings using low-cost sensor network

Journal: Aerosol and Air Quality Research

Citations: 7 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

Detection of airborne nanoparticles through enhanced light scattering images

Journal: Sensors

Citations: 6 ๐Ÿ“„

Year: 2022 ๐Ÿ—“๏ธ

Saliva droplet evaporation experiment and simple correlation of evaporation-falling curve under different temperatures and RH

Journal: Aerosol and Air Quality Research

Citations: 4 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ

Numerical study of nanoparticle penetration characteristics in forked tubes using tracking particle identification

Journal: Powder Technology

Citations: 4 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ