Mert Gülüm | Engineering | Best Researcher Award

Assoc. Prof. Dr. Mert Gülüm | Engineering | Best Researcher Award

Karadeniz Technical University | Turkey

Assoc. Prof. Dr. Mert Gülüm is a leading researcher in alternative fuels, combustion, and thermophysical properties of fluids, with a prolific scholarly record of 32 documents, 931 citations, and an h-index of 18. His research focuses on diesel engines, bio-derived and hybrid fuels, nanofluids, and advanced modeling techniques to optimize fuel performance, combustion, and emission characteristics. Key contributions include studies on hydrogen use in diesel engines, viscosity-temperature modeling of alternative fuel blends, thermophysical analysis of nanofluids, and transesterification optimization of waste cooking oil for biodiesel production. His work has been published in top SCIE and ESCI journals, reflecting rigorous experimental, computational, and numerical approaches. With 644 documents contributing to his citation impact, Dr. Gülüm has significantly advanced knowledge in sustainable energy, fluid dynamics, and thermal analysis, offering practical insights for improving engine efficiency and developing environmentally friendly fuel technologies. His research continues to influence propulsion, energy, and environmental engineering communities worldwide.

 

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Featured Publications

Mathematical Correlations for Variation in Heat Release Rate of a Diesel Engine Fuelled with n-Octanol Blends
– Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2023

Mumtaz Khan | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Mumtaz Khan | Mathematics | Best Researcher Award

Chuxiong Normal university | China

Assoc. Prof. Dr. Mumtaz Khan is a well-established researcher in applied mathematics and thermal–fluid sciences, with significant contributions to magnetohydrodynamics, nanofluid heat transfer, fractional calculus, and advanced numerical modeling. He has authored 37 scholarly documents, which have received 743 citations from 509 citing publications, demonstrating strong visibility and influence in the scientific community, with an h-index of 17. His research integrates fractional-order modeling, hybrid nanofluids, non-Newtonian fluid dynamics, porous media flow, and heat and mass transfer under complex physical effects such as magnetic fields, thermal radiation, slip conditions, and chemical reactions. He has published extensively in high-impact international journals, including Mathematical Methods in the Applied Sciences, Case Studies in Thermal Engineering, Ain Shams Engineering Journal, and ZAMM. His recent work also incorporates artificial neural networks and optimization techniques to enhance predictive accuracy in transport phenomena, contributing valuable theoretical and computational insights for engineering and energy-related applications.

 

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Featured Publications

Mohammad Afikuzzaman | Mathematics | Best Faculty Award

Dr. Mohammad Afikuzzaman | Mathematics | Best Faculty Award

Adelaide University | Australia

Dr. Mohammad Afikuzzaman’s research profile reflects a strong and sustained contribution to applied mathematical modeling and computational simulations, with particular emphasis on fluid mechanics, magnetohydrodynamics, nanofluids, heat and mass transfer, and multicomponent alloy diffusion. The scholarly output includes 18 indexed documents with 318 citations and an h-index of 11, alongside broader visibility on Google Scholar reporting 431 total citations and an h-index of 12 (August 2025). The body of work comprises 22 peer-reviewed journal articles, 7 international conference presentations (oral and poster), and 4 book chapters/books, with an additional 6 manuscripts currently under review. Research contributions demonstrate methodological rigor, advanced numerical and theoretical modeling, and practical relevance, supported by extensive collaboration with industry, government, and academic partners to promote innovation and interdisciplinary engagement. Publications appear in high-impact journals such as Scripta Materialia, Journal of Phase Equilibria and Diffusion, Nanoscale Advances, Journal of Molecular Liquids, and Arabian Journal for Science and Engineering, highlighting both depth and breadth of scientific influence.

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Featured Publications

Hyoungsoo Kim | Engineering | Best Researcher Award

Assoc. Prof. Dr. Hyoungsoo Kim | Engineering | Best Researcher Award

KAIST | South Korea

Author Profile

Scopus

Orcid

Google Scholar

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Hyoungsoo Kim began his academic journey with a deep-rooted passion for fluid mechanics and engineering. He earned his Bachelor's degree in Mechanical Engineering from Kumoh National Institute of Technology, South Korea, graduating Summa Cum Laude in 2006. His undergraduate research focused on numerical analysis of microflows in microchannels. Continuing his academic excellence, he pursued a Master’s degree at KAIST, where he worked on controlling electroosmotic flow in microchannels using thermal fields. His doctoral studies at Delft University of Technology in the Netherlands further honed his expertise, culminating in a thesis titled Moving Liquid Droplets with Inertia: Experiment, Simulation, and Theory, under the guidance of Professor Jerry Westerweel.

🎨 Professional Endeavors

Dr. Kim's professional journey reflects an unwavering commitment to experimental fluid mechanics and interdisciplinary research. His early postdoctoral experience at Seoul National University and Princeton University, where he worked with Professor Ho-Young Kim and Professor Howard A. Stone, respectively, laid the foundation for his groundbreaking research. He served as an Associate Research Scholar at Princeton before joining KAIST as an Assistant Professor in 2017. In 2021, he was promoted to Associate Professor at KAIST’s Department of Mechanical Engineering. Dr. Kim has also contributed as a Visiting Scholar at Harvard University’s School of Engineering and Applied Sciences and as an Editorial Advisory Board Member for Experiments in Fluids since 2019.

👩‍🔬 Contributions and Research Focus

Dr. Kim's research revolves around experimental fluid mechanics, focusing on physicochemical hydrodynamics, thin film and interfacial flows, colloids and interfaces, and micro- and bio-fluidics. His work spans multiple scales, from nanoscale to macroscale, with applications in environmental pollution, COVID-19-related respiratory diseases, and material transport in multiscale channels. Leveraging advanced optical measurement techniques, he explores interfacial instabilities, droplet dynamics, viscoelastic fluid behavior, and evaporation processes. His research has resulted in significant theoretical models and scaling analyses that contribute to the understanding of multiphase flows and soft matter hydrodynamics.

🏆 Accolades and Recognition

Dr. Kim's exceptional contributions to fluid mechanics and engineering have been widely recognized. He has secured over $5.5 million USD in research grants since joining KAIST and has published 49 high-impact journal papers, including articles in Nature Physics, Nature Communications, ACS Nano, Advanced Science, and Physical Review Letters. His research has received 2,241 citations, with an H-index of 23 and an FWCI of 1.69 in Mechanical Engineering. Some of his studies have been highlighted in Physics, Nature Physics, The New York Times, and Chosun Ilbo. His patent portfolio includes numerous domestic and international patents related to medical devices, negative pressure systems, and quantum dot patterning technologies.

🌐 Impact and Influence

Dr. Kim’s research has far-reaching implications across multiple disciplines. His work on interfacial instability and solutal-Marangoni flows has advanced the understanding of complex fluid behaviors. His patented technologies, including cyclone negative pressure masks and modular negative pressure facilities, have been pivotal in enhancing personal protective equipment and medical chamber designs. Moreover, his studies on liquid metal and metamaterials have influenced the development of stretchable electronics and anti-icing coatings. His collaborations with industrial partners such as Shinsung E&G and Woojung Bio have facilitated technology transfer, further extending the impact of his research into real-world applications.

🌟 Legacy and Future Contributions

As a leading figure in experimental fluid mechanics, Dr. Kim continues to push the boundaries of interfacial hydrodynamics and multiphase flows. His work is expected to drive innovations in biomedical engineering, environmental sustainability, and advanced materials. His commitment to mentoring young researchers and fostering interdisciplinary collaborations ensures that his legacy will endure through the next generation of scientists and engineers. With ongoing research projects in nanofluidics, soft matter physics, and energy-efficient transport systems, Dr. Kim remains at the forefront of pioneering fluid mechanics research, shaping the future of the field.

 

Publications


  • 📄 Cyclone negative pressure pump for efficient purification of airborne contaminants

    • Journal: Indoor Environments
    • Year: 2025
    • Authors: Gihyun Song, Kyungcheol Jang, Woobin Song, Wonchul Choi, Simon Song, Hyoungsoo Kim

  • 📄 Single theoretical model for breakup of viscous thread with and without a fiber

    • Journal: Physical Review Fluids
    • Year: 2024
    • Authors: Hyejoon Jun, Hyoungsoo Kim

  • 📄 Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing

    • Journal: Chemical Engineering Journal
    • Year: 2024
    • Authors: Taehyub Lee, Jeong-Hwan Kim, Chin Siang Ng, Alberto Andreu, Insup Kim, Wonhee Lee, Hyoungsoo Kim, Pei-Chen Su, Yong-Jin Yoon

  • 📄 Vapor distribution changes evaporative flux profiles of a sessile droplet

    • Journal: Journal of Colloid and Interface Science
    • Year: 2023
    • Authors: Minhyeok Kuk, Jeongsu Pyeon, Hyoungsoo Kim

  • 📄 Plasmonic metasurfaces of cellulose nanocrystal matrices with quadrants of aligned gold nanorods for photothermal anti-icing

    • Journal: Nature Communications
    • Year: 2023
    • Authors: Jeongsu Pyeon, Soon Mo Park, Juri Kim, Jeong-Hwan Kim, Yong-Jin Yoon, Dong Ki Yoon, Hyoungsoo Kim

 

Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

  • Scientist and Research Guide at IITM, Pune, India.
  • Associate Professor at Savitribai Phule Pune University.
  • Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
  • Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
  • Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

  • Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
  • Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
  • High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
  • Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

  • DCU Teaching Excellence Nominee Award (2008)
  • Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
  • DCU Dean’s Connect Scholarship (Ireland, 2006-09)
  • NUS Research Scholarship (Singapore, 2004-06)
  • CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

 

   Publications

  • Deep learning-based bias correction of ISMR simulated by GCM
    Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
    Journal: Atmospheric Research
    Year: 2024

 

  • Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
    Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
    Journal: Modeling Earth Systems and Environment
    Year: 2024

 

  • Machine learning based quantification of VOC contribution in surface ozone prediction
    Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
    Journal: Chemosphere
    Year: 2023

 

  • On the modern deep learning approaches for precipitation downscaling
    Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
    Journal: Earth Science Informatics
    Year: 2023

 

  • A modified deep learning weather prediction using cubed sphere for global precipitation
    Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
    Journal: Frontiers in Climate
    Year: 2023