Brij Bhushan Sharma | Engineering | Best Researcher Award

Dr. Brij Bhushan Sharma | Engineering | Best Researcher Award

Dr. Brij Bhushan Sharma | Shoolini University of Biotechnology and Management Sciences | India

Dr. Brij Bhushan is an accomplished Assistant Professor at Shoolini University of Biotechnology and Management Sciences, Solan, India, specializing in the Internet of Things (IoT), Embedded Systems, and Wireless Sensor Networks. With over a decade of academic and research experience, he has made significant contributions to smart agriculture, healthcare technologies, and communication systems through impactful research and innovation. He has authored numerous publications in Scopus and WoS indexed journals, written a book, and holds multiple patents. Dedicated to integrating innovation into teaching and research, Dr. Bhushan is committed to advancing technology-driven solutions that address global challenges.

Profiles

Scopus 
Orcid 
Google Scholar 

Education

Dr. Brij Bhushan pursued his academic journey with excellence in Electronics and Communication Engineering. He earned his Ph.D. in 2022 from Shoolini University, focusing on the design and implementation of IoT in agriculture to enhance food and farming technologies. Earlier, he completed his M.Tech in Electronics and Communication Engineering at Shoolini University and his B.Tech in the same discipline from Swami Parmanand Engineering College, Punjab. His foundation was laid with a Diploma in Electronics and Communication Engineering from Longowal Polytechnic College. His educational pathway reflects a consistent pursuit of innovation in IoT and communication technologies.

Professional Experience

Dr. Brij Bhushan has been serving as an Assistant Professor at Shoolini University since 2019, where he mentors students, develops IoT-based curricula, and leads innovative research initiatives. Previously, he worked as a Teaching Assistant at the same university, supporting academic delivery and tutoring. His career began as a Technical Instructor, where he gained valuable experience in student engagement, training, and applied research. With expertise in IoT and Embedded Systems, he has introduced specializations in B.Tech programs, published extensively, and contributed to the university’s academic and research excellence. His teaching combines innovation, mentorship, and applied learning.

Research Focus

Dr. Brij Bhushan’s research focuses on the Internet of Things (IoT), Embedded Systems, Wireless Sensor Networks, and Communication Systems, with a strong emphasis on real-world applications in agriculture, healthcare, and smart technologies. His work explores intelligent IoT-based solutions for crop monitoring, irrigation systems, renewable energy, and sustainable farming. Additionally, he investigates AI-driven plant disease detection, IoT-blockchain integration for data security, and smart healthcare devices. With over 25 Scopus/WoS-indexed publications, patents, and international conference presentations, his research advances digital agriculture, healthcare innovations, and communication systems, bridging the gap between academia, industry, and society.

Awards and Honors

Dr. Brij Bhushan has earned numerous accolades for his academic and research contributions. He is a granted patent holder in multiple IoT and smart device innovations, with recognition for his pioneering work in smart agriculture and embedded systems. He received appreciation from IIT Kharagpur as a System Administrator and A-View Coordinator during national workshops, and multiple awards for organizing technical events at Shoolini University. As an Innovation Ambassador (Advanced Level) under the Ministry of Education, Govt. of India, he has also served as a Primary Evaluator at Toycathon 2021. His global recognition includes roles as reviewer, TPC member, and international committee member.

Publications Top Notes

A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI

Authors: AW Salehi, P Baglat, BB Sharma, G Gupta, A Upadhya

Journal/Conference: 2020 International Conference on Smart Electronics and Communication (ICOSEC)

Citations: 173

IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

Authors: BB Sharma, N Kumar

Journal/Conference: International Journal of Agricultural and Environmental Information Systems

Citations: 54

Applicability Of Wireless Sensor Networks & IoT In Saffron & Wheat Crops: A Smart Agriculture Perspective

Authors: MW Rasooli, B Bhushan, N Kumar

Journal/Conference: Conference Publication (details missing from snippet, likely in Smart Agriculture proceedings)

Citations: 51

Applications of artificial intelligence in smart agriculture: a review

Authors: R Sharma, N Kumar, BB Sharma

Journal/Conference: Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 1

Citations: 37

Implementation of an automated irrigation system for agriculture monitoring using IoT communication

Authors: D Rani, N Kumar, B Bhushan

Journal/Conference: 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC)

Citations: 24

Opportunities and challenges with WSN’s in smart technologies: A smart agriculture perspective

Authors: N Kumar, B Sharma

Journal/Conference: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Era

Citations: 20

Internet of things-based hardware and software for smart agriculture: A review

Authors: BB Sharma, N Kumar

Journal/Conference: Proceedings of ICRIC 2019: Recent Innovations in Computing

Citations: 20

Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Authors: BB Sharma, G Gupta, P Vaidya, S Basheer, FH Memon, RN Thakur

Journal/Conference: Wireless Communications and Mobile Computing

Citations: 17

COVID-19: automated detection and monitoring of patients worldwide using machine learning

Authors: G Gupta, AW Salehi, B Sharma, N Kumar, Sonia, P Vaidya

Journal/Conference: Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Citations: 14

Arduino based LPG leakage detection and prevention system

Authors: BB Sharma, P Vaidya, N Kumar, CC Chen, R Sharma, RP Dwivedi, …

Journal/Conference: 2021 8th International Conference on Computing for Sustainable Global Development

Citations: 14

IoT: the Current Scenario and Role of Sensors Involved in Smart Agriculture

Authors: NK Harshit Bhatt, Brij Bhushan Sharma

Journal/Conference: International Journal of Recent Technology and Engineering

Citations: 14

Conclusion

Dr. Brij Bhushan exemplifies academic innovation and research excellence in IoT and smart technologies. With a strong academic background, diverse teaching experience, and groundbreaking research, he has emerged as a thought leader in digital agriculture, healthcare innovation, and embedded systems. His extensive portfolio of publications, patents, and collaborative projects reflects his commitment to solving practical challenges with technology. As an educator, mentor, and researcher, Dr. Bhushan continues to inspire students and colleagues alike, while his pioneering contributions strengthen the link between academia, industry, and society. He remains dedicated to driving impactful innovation for a sustainable future.

mikail aslan | Engineering | Best Researcher Award

Assoc. Prof. Dr. mikail aslan | Engineering | Best Researcher Award

Assoc. Prof. Dr. mikail aslan, Gaziantep University, Turkey.

Assoc. Prof. Dr. Mikail Aslan 🎓 is a distinguished academic at Gaziantep University, specializing in Metallurgical and Materials Engineering ⚙️. With a Ph.D. in Physics Engineering, he has led numerous national and international research projects, published widely in refereed journals, and supervised impactful graduate theses. His expertise spans nanomaterials, powder metallurgy, and computational materials science 🧪. A dedicated educator and leader, he has held key administrative roles and continues to shape innovative materials research in Turkey. 🇹🇷

Profile

SCOPUS ID

🎓 Early Academic Pursuits

Dr. Mikail Aslan embarked on his academic journey with a Bachelor’s degree in Physics Teaching from Middle East Technical University in 2010. His passion for material science and physics engineering led him to pursue a PhD in Physics Engineering at Gaziantep University, which he completed in 2014. His doctoral research focused on the electronic structure of ligand-passivated metal nanoclusters, under the guidance of Professors Ali Sebetci and Zihni Öztürk. This strong foundational work paved the way for his extensive career in computational materials science and nanotechnology.

💼 Professional Endeavors

Dr. Aslan began his academic career at Gaziantep University as an Assistant Professor in the Department of Metallurgical and Materials Engineering in 2015. He was promoted to Associate Professor in July 2024. In his tenure, he has held vital administrative roles including Double Major and Minor Program Coordinator (2015–2022) and Co-Head of Department (2015–2019). He is also an experienced educator, delivering undergraduate and graduate courses in powder metallurgy, material science, and computer-aided design.

🔬 Contributions and Research Focus On Engineering

Dr. Aslan’s research primarily spans nanocomposites, powder metallurgy, carbon nanodots, rare-earth hexaborides, and nanoalloys. He has contributed significantly to understanding the microstructural, mechanical, optical, and electronic behaviors of advanced materials. His works often bridge experimental synthesis and DFT-based computational simulations, revealing structure–property relationships in novel alloys and composites.

🌍 Impact and Influence

His interdisciplinary approach, combining materials engineering with computational modeling, has had a broad impact on areas such as environmental catalysis, energy materials, and biocompatible nanomaterials. Through his projects and international collaborations, Dr. Aslan has contributed to solving industrial challenges like dye degradation from textile wastewater and the design of efficient bonding systems in composites.

🏅 Awards and Honors

Dr. Aslan has participated in prestigious international collaborations such as TOUCAN and MidPlus, working alongside globally respected scholars like Rodger P. Mark and Roy L. Johnston. His research has been funded by national and international agencies, and he has successfully led and contributed to high-impact scientific projects, underscoring his excellence in applied materials science.

🧠 Research Skills

Dr. Aslan demonstrates advanced expertise in:

  • Density Functional Theory (DFT) Simulations

  • Nanoalloy and Composite Fabrication

  • Mechanical and Thermal Property Characterization

  • Computational Modeling and SolidWorks Design

  • Metrology and Calibration Techniques
    His ability to integrate experimental and theoretical approaches makes him a versatile and innovative researcher.

🔮 Legacy and Future Contributions

As a mentor, Dr. Aslan has supervised several master’s theses in materials and biological sciences, nurturing the next generation of interdisciplinary researchers. His upcoming research on tungsten-reinforced epoxy adhesives and the enhancement of university laboratory infrastructures reflects his commitment to both scientific advancement and academic capacity building. Dr. Aslan is poised to continue shaping the field of nanomaterials and composite technologies, leaving a lasting legacy in research, education, and innovation.

Publications Top Notes

📘 Efficient Catalytic Degradation of Azo Dyes from Textile Wastewater by Nano and Micro Amorphous Alloys
  • Authors: Dr. Mikail Aslan, Dr. Abdulaziz Kaya, Dr. Hasan Eskalen, Dr. Celal Kurşun, Dr. Mustafa Çeşme, Dr. Musa Gögebakan

  • Journal: ChemistrySelect

  • Publisher: Wiley

  • Publication Date: February 16, 2024

Dhanush Manikandan | Engineering | Best Researcher Award

Mr. Dhanush Manikandan | Engineering | Best Researcher Award

Mr. Dhanush Manikandan, Kumaraguru college of technology, India.

Dhanush Manikandan is a motivated engineering professional with a B.E. in Aeronautical Engineering from Kumaraguru College of Technology. With 1.5 years of internship experience in Computational Fluid Dynamics (CFD) and Part Modeling, he has worked on cutting-edge projects involving ducted drones and micro gas turbines. Dhanush has published research in leading journals and holds certifications in Advanced NDT Testing and Composite Manufacturing. 🌟 He is passionate about aerodynamics and aerospace research. ✈️

👨‍🎓Profile

🎓 Early Academic Pursuits

Dhanush Manikandan is currently pursuing a B.E. in Aeronautical Engineering at Kumaraguru College of Technology, Coimbatore, with an impressive CGPA of 8.4. He has also completed a minor in Cybersecurity, broadening his technical acumen.

🧪 Professional Endeavors

With 1.5 years of internship experience, Dhanush has worked with leading organizations such as Exaslate (Remote), Next Leap Aeronautics (Hybrid), and KCIRI (Onsite). His work revolved around CFD simulation, dynamic mesh analysis, and aerospace component design.

🔬 Contributions and Research Focus On Engineering 

Dhanush focuses on Computational Fluid Dynamics (CFD), structural integrity, and aerodynamics. His design innovations include a double-ducted drone, and he is actively engaged in projects exploring propeller performance, gust load dynamics, and vibro-structural behavior.

🌍 Impact and Influence

His interdisciplinary research has been recognized through publication in reputed journals. These include Results in Engineering Journal and a submission to Ain Shams Engineering Journal, reflecting the academic value of his work in advancing drone technology and CFD applications.

🧠 Research Skills

  • CFD Analysis using ANSYS Fluent and OpenFOAM

  • Turbomachinery Simulation with Ansys Turbo-Workflow

  • Propeller & Wing Performance Testing

  • ML Modeling in fluid dynamics

🏅 Awards and Honors

  • MGS Award for academic performance

  • Best Volunteer Award from Aeromodelling Club of KCT

  • Volunteer for CFD course by Exaslate

🔮 Legacy and Future Contributions

Dhanush aims to continue advancing the field of aerospace through cutting-edge CFD techniques, innovative drone designs, and R&D in turbomachinery. His dedication to academic excellence and hands-on engineering solutions ensures a lasting impact on the future of aerial systems.

Publications Top Notes

Investigation of Advanced Propellers for Augmented Aerodynamics and Vibro-Structural Integrity in Complex Double-Ducted Drones: An Interdisciplinary Approach 🚁

Yongfei Juan | Electrical Engineering | Best Researcher Award

Dr. Yongfei Juan | Electrical Engineering | Best Researcher Award

Dr. Yongfei Juan, State Grid Shanghai Electric Power Research Institute, China.

🔬 Dr. Yongfei Juan is a dedicated researcher at State Grid Shanghai Electric Power Research Institute, China. He specializes in performance enhancement and quality supervision of electrical equipment. 🛠️ He has authored 8 SCI papers, secured 6 invention patents, and drafted 2 group standards. 🏆 His work has earned him honors like Young Science and Technology Rising Star 🌟 and selection for the Xingyuan Talent Program. His research integrates machine learning with material science for impactful innovation. 🤖📚

👨‍🎓Profile

Scopus profile

🎓 Early Academic Pursuits

Dr. Yongfei Juan began his academic journey with a deep-rooted interest in electrical engineering and materials science. His early education laid a strong foundation in the fundamentals of electrical equipment performance and quality assurance. Driven by a passion for innovation and precision, he pursued higher studies that would allow him to explore the intersection of materials technology and electrical systems.

🧪 Professional Endeavors

Currently serving at the State Grid Shanghai Electric Power Research Institute, China, Dr. Juan focuses on performance enhancement and quality supervision of electrical equipment. His professional role centers around the execution of experimental research and the development of quality control systems that ensure optimal equipment performance. He has spearheaded the drafting of two group standards and holds six authorized invention patents, underscoring his engineering acumen and leadership.

🔬 Contributions and Research Focus On Electrical Engineering

Dr. Juan’s work primarily revolves around performance enhancement and quality control in electrical equipment. He has led the drafting of two group standards and holds six authorized invention patents, reflecting his innovative approach to engineering challenges. His research delves into materials discovery using machine learning, laser-clad coatings, and the development of aviation aluminum alloys—showcasing a blend of experimental methodology and AI-driven design principles.

🌍 Impact and Influence

Dr. Juan’s influence extends beyond publications—his research has been translated into industry standards and patented innovations. His work has garnered recognition from peers and institutions, elevating the quality of electrical systems in real-world applications. His selected article in Journal of Materials Science & Technology (IF: 12) as a 2024 Key Recommended Article reflects the high impact of his research.

🧠 Research Skills

Dr. Juan possesses a diverse skill set in experimental materials science, statistical modeling, and predictive analytics. His expertise includes:

  • Machine learning algorithms for material property prediction

  • Laser-cladding technique optimization

  • Microstructural analysis of coatings

  • Quality control framework development
    These competencies equip him to approach research with both innovation and precision.

🏅 Awards and Honors

Dr. Juan has received multiple recognitions for his scientific excellence, including:

  • Outstanding Young Scientist Paper Award

  • Young Science and Technology Rising Star

  • Selection to the Xingyuan Talent Program
    These accolades underscore his contributions to scientific innovation and his rising status in China’s engineering research community.

🔮 Legacy and Future Contributions

Dr. Juan is poised to shape the future of electrical equipment reliability and material innovation. His continued contributions to standards development, patentable technologies, and next-generation alloy design will leave a lasting impact on the energy sector. As a mentor, innovator, and researcher, he aspires to lead transformative projects that bridge academia and industry, ensuring sustainable and intelligent energy solutions.

Publications Top Notes

  • Accelerating materials discovery using machine learning 🧠📊
    Journal of Materials Science & Technology, 79 (2021) 178–190.

  • Modified criterions for phase prediction in the multi-component laser-clad coatings and investigations into microstructural evolution/wear resistance of FeCrCoNiAlMox laser-clad coatings 🔬⚙️
    Applied Surface Science, 465 (2019) 700–714.

  • Knowledge-aware design of high-strength aviation aluminum alloys via machine learning 🏗️💻
    Journal of Materials Research and Technology, 24 (2023) 346–361.

 

Hafiz Muneeb Ahmad | Engineering | Best Researcher Award

Mr. Hafiz Muneeb Ahmad | Engineering | Best Researcher Award

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

🔹 Hafiz Muneeb Ahmad is a dedicated researcher and HVAC engineer pursuing a Ph.D. in Mechanical Engineering at the University of Tulsa. His research focuses on erosion-corrosion in pipelines using CFD simulations 🏗️. With an M.Sc. in Thermal Power Engineering, he has expertise in heat transfer, HVAC systems, and fluid dynamics 🔥❄️. He has industry experience in energy-efficient system design and has worked as a Teaching Assistant 📚. His contributions bridge academic research and practical engineering applications. 🚀

Professional Profile

🎓 Early Academic Pursuits

Hafiz Muneeb Ahmad demonstrated academic excellence from an early stage. He pursued a Bachelor of Science (B.Sc.) in Mechanical Engineering at Lahore Leads University (LLU) from 2015 to 2019, securing 1st position with a CGPA of 3.70/4.0. His undergraduate thesis focused on designing and fabricating a mini cooling tower to improve heat dissipation and recycling efficiency. Continuing his passion for thermal sciences, he pursued a Master of Science (M.Sc.) in Thermal Power Engineering from the University of Engineering & Technology Lahore (UET) (2020-2022), achieving a CGPA of 3.62/4.0. Currently, he is enrolled in a Doctor of Philosophy (Ph.D.) in Mechanical Engineering at the University of Tulsa (2022-Present) with a CGPA of 3.60/4.0, conducting high-impact research in erosion and corrosion analysis in multiphase flows.

💼 Professional Endeavors

Hafiz Muneeb Ahmad has accumulated extensive industrial experience in the HVAC and thermal power sectors. He is currently employed as a Site Engineer at MecaTech Private Ltd. (March 2022 – Present), where he leads teams, implements 5S methodology, and ensures energy-efficient HVAC operations. Prior to this, he worked as an HVAC Engineer at MA Engineering Services International (Oct 2019 – March 2022), managing chiller operations, maintenance schedules, troubleshooting, and documentation of HVAC systems. In academia, he contributes as a Teaching Assistant at the University of Tulsa, supporting undergraduate labs and conducting experimental research in erosion and corrosion studies.

🔬 Contributions and Research Focus On Engineering

His Ph.D. research is centered on erosion analysis of Plugged Tees vs. Elbows in Liquid-Solid, Gas-Solid, and Liquid-Solid-Gas flows. Using Computational Fluid Dynamics (CFD) techniques like the Eulerian-Eulerian approach and Discrete Phase Model (DPM), he aims to enhance the predictive accuracy of material wear in industrial pipelines. His research contributes to pipeline longevity, efficiency, and cost reduction in the oil & gas and process industries.

🌍 Impact and Influence

Through his diverse academic and professional engagements, Hafiz Muneeb Ahmad has made a significant impact on HVAC system optimization, energy management, and thermal power engineering applications. His work in pipeline erosion research is expected to improve material selection and durability in industrial setups.

📚 Academic Citations

While currently in the research phase of his Ph.D., his ongoing work on erosion-corrosion analysis is expected to yield highly cited publications in reputable mechanical and thermal engineering journals.

🏅 Awards and Honors

  • 1st Position in B.Sc. Mechanical Engineering (Lahore Leads University, 2019)
  • Recognized for Energy Efficiency Measures and HVAC System Optimization at MecaTech Pvt. Ltd.
  • Awarded Teaching Assistantship at the University of Tulsa for contributions to undergraduate education.

📂 Key Academic and Professional Projects

B.Sc. Thesis – Design & Fabrication of a Mini Cooling Tower for heat dissipation and efficiency enhancement.
M.Sc. Research – Hardness analysis of materials using a Universal Testing Machine (UTM).
Semester ProjectDesign and Fabrication of a Parkinson Gear Tester for precision measurements.

🛠️ Technical Skills

  •  Software: Ansys Fluent (CFD), MATLAB, AutoCAD, HAP 4.0, Solid Edge, MS Office.
  • Engineering Expertise: Thermal power systems, HVAC operations, Finite Element Analysis (FEA).

🎓 Internships

Honda Atlas Cars Pakistan Limited (July 2018 – Aug 2018) – Gained hands-on experience in welding, paint shop, boilers, compressors, and engine assembly.
Pakistan Elektron Limited (PEL) (Aug 2017 – Aug 2017) – Learned about molding machines and refrigeration systems.
Millat Group of Companies (Aug 2016 – Aug 2016) – Practical exposure to machining operations, gear & shaft manufacturing, and heat treatme

🚀 Legacy and Future Contributions

Hafiz Muneeb Ahmad aspires to make lasting contributions to pipeline erosion mitigation, HVAC sustainability, and thermal power efficiency. His future work aims to bridge the gap between experimental and computational erosion models, ensuring improved reliability in industrial applications.

Publications Top Notes

1️⃣ Experimental and CFD Analysis of Erosion in Plugged Tees in Series
Authors: H.M. Ahmad, J. Zhang, S. Shirazi, S. Karimi
📜 Journal: Wear
🔢 Citations: 1
📅 Year: 2025

2️⃣ A Novel Technique for Determining Threshold Sand Rates from Acoustic Sand Detectors for Well Integrity Management
Authors: A. Nadeem, M. Hasan, F. Biglari, H. Ahmad, A. Ali, R.E. Vieira, S.A. Shirazi
📜 Conference: Abu Dhabi International Petroleum Exhibition and Conference
🔢 Citations: 1
📅 Year: 2024

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

🎓 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.

💼 Professional 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.

🌍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.

🥇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.

📚Publication Top Notes:

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Journal: Aerosol and Air Quality Research

Citations: 36 📄

Year: 2020 🗓️

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

Journal: Applied Thermal Engineering

Citations: 31 📄

Year: 2018 🗓️

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 📄

Year: 2017 🗓️

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

Journal: International Journal of Heat and Mass Transfer

Citations: 20 📄

Year: 2021 🗓️

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 📄

Year: 2018 🗓️

Natural convection flow around heated disk in cubical enclosure

Journal: Journal of Mechanical Science and Technology

Citations: 17 📄

Year: 2018 🗓️

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning…

Journal: Powder Technology

Citations: 15 📄

Year: 2019 🗓️

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

Journal: Separation and Purification Technology

Citations: 13 📄

Year: 2019 🗓️

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 📄

Year: 2020 🗓️

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 📄

Year: 2023 🗓️

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 📄

Year: 2021 🗓️

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

Journal: Building and Environment

Citations: 8 📄

Year: 2021 🗓️

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 📄

Year: 2021 🗓️

Detection of airborne nanoparticles through enhanced light scattering images

Journal: Sensors

Citations: 6 📄

Year: 2022 🗓️

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

Journal: Aerosol and Air Quality Research

Citations: 4 📄

Year: 2023 🗓️

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

Journal: Powder Technology

Citations: 4 📄

Year: 2023 🗓️