Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Dr. Sook Sam Leong ๐ŸŽ“๐Ÿฉป is a Senior Lecturer and Clinical Researcher at Universiti Teknologi MARA, Malaysia. With over 20 years of experience in diagnostic imaging, she specializes in medical ultrasound, renal imaging, radiation safety, and AI in radiology ๐Ÿง ๐Ÿ”ฌ. Her impactful work includes shear wave elastography, MRI training in VR, and fatty liver assessment via ultrasound ๐Ÿงช๐Ÿ’ป. She has authored 20+ peer-reviewed articles in top journals ๐Ÿ“š๐ŸŒ and received multiple awards ๐Ÿ† for innovation and scientific merit. A passionate educator and grant leader, Dr. Leong advances clinical imaging through research, mentorship, and international collaboration ๐Ÿคโœจ.

Dr SOOK SAM LEONG, UNIVERSITI TEKNOLOGI MARA, Malaysia

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๐ŸŽ“ Education

Dr. Sook Sam Leong ๐ŸŽ“ has a distinguished academic background in medical imaging and ultrasound. She earned her PhD in Medical Ultrasound with Distinction from the University of Malaya in 2020 ๐Ÿฅ‡, following her Master in Medical Science (Ultrasound) in 2013. Her academic journey began with a Diploma in Medical Radiography (2003) ๐Ÿฅ from the same university. In 2007, she completed a B.Sc. in Radiographic Science at the University of Teesside with First Division Honors ๐Ÿ†. She also trained at Jefferson Ultrasound Research and Education Institute (JUREI) in 2004, completing a Basic Abdominal Ultrasound Course ๐Ÿ”ฌ๐Ÿ“ธ.

๐Ÿ‘ฉโ€โš•๏ธExperience

Dr. Sook Sam Leong brings over 20 years of multidisciplinary clinical and academic experience in diagnostic imaging ๐Ÿฅ๐Ÿฉป. Starting as a Senior Radiographer at University of Malaya Medical Centre (2003โ€“2021) and now a Senior Lecturer at Universiti Teknologi MARA (UiTM), she has specialized in ultrasound, CT, MRI, radiation protection, and digital radiography ๐Ÿ’ป๐Ÿ”ฌ. She has served on ethics, program planning, and medical technology committees ๐Ÿง ๐Ÿ“Š, and contributed as a consultant for Philips Ultrasound and Malaysiaโ€™s Ministry of Health. An accomplished educator ๐ŸŽ“, she has taught ultrasound and CT at leading universities, mentoring the next generation of radiology professionals ๐Ÿง‘โ€๐Ÿซ๐ŸŒŸ.

๐Ÿ† Awardsย 

Dr. Leong has earned multiple prestigious awards including the ๐Ÿฅ‡ Best Innovation Award (UiTM, 2023), ๐Ÿฅˆ Best Researcher Award (2022), and ๐ŸŽ–๏ธ Outstanding Scientific Merit Award (AACRT, 2023). Her accolades reflect her excellence in clinical imaging, innovation, and scientific impact. She also secured competitive research funding ๐Ÿ’ฐ, leading the FRGS grant (RM108,600, 2023โ€“2025) and multiple university-backed projects. Her recognition spans oral presentations, poster excellence, and quality improvement awards, demonstrating sustained excellence across academic, clinical, and translational domains ๐Ÿงช๐Ÿ“Š๐Ÿ‘ฉโ€โš•๏ธ.

๐Ÿ–ฅ๏ธ Expertiseย 

Dr. Leong is a highly skilled expert in Ultrasound ๐Ÿงช, Computed Tomography (CT) ๐Ÿ–ฅ๏ธ, and General Radiography ๐Ÿ“ท, with over two decades of experience in clinical diagnostics and medical education. Her work in ultrasound imaging includes cutting-edge research in shear wave elastography and attenuation techniques. She applies CT and radiographic methods in evaluating complex clinical cases, including renal and hepatic conditions ๐Ÿฉบ๐Ÿงฌ. Her commitment to precision, safety, and innovation in radiological sciences positions her as a leading voice in advancing diagnostic imaging technologies for enhanced patient care and training ๐Ÿง ๐ŸŒ.

๐ŸฉปContributions

Dr. Sook Sam Leong has significantly advanced ultrasound elastography, AI-assisted diagnostics, and clinical imaging ๐Ÿ“Š๐Ÿง . With over 20 WOS-indexed publications ๐Ÿ“š and an h-index of 11 ๐Ÿ“ˆ, her research has revolutionized imaging for kidney disease, musculoskeletal disorders, and forensic applications ๐Ÿงฌ๐Ÿฆด. As FRGS principal investigator, she explores stiffness biomarkers via shear wave elastography ๐Ÿ’ก. Her excellence is recognized with awards like AACRT 2025 Best Paper and UiTM Innovation Award 2023 ๐Ÿ…. Dr. Leong continues to impact global health through AI integration, collaborative research, and postgraduate mentorship ๐ŸŒ๐ŸŽ“.

๐Ÿ”ฌ Research Focus

Dr. Sook Sam Leongโ€™s research is centered on enhancing diagnostic accuracy using Ultrasound and Computed Tomography (CT). Her work explores cutting-edge methods like shear wave elastography for tissue stiffness evaluation, attenuation imaging for fatty liver detection, and the integration of AI and machine learning in radiological interpretation ๐Ÿค–๐Ÿ“Š. She also investigates radiation safety, forensic imaging, and VR-based MRI education ๐Ÿ›ก๏ธ๐Ÿงโ€โš•๏ธ. Bridging clinical application with research, her contributions support early disease detection, patient safety, and medical education, driving innovation in non-invasive diagnostics and multidisciplinary healthcare delivery ๐ŸŒ๐Ÿ’ก๐Ÿ“ˆ.

๐Ÿ“š Publications

2D shear wave elastography for the assessment of quadriceps enthesesโ€”a methodological study
๐Ÿ‘ฉโ€๐Ÿ”ฌ SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, LSM Yamin, …
๐Ÿ“˜ Skeletal Radiology, 2024, Vol. 53(3), pp. 455โ€“463

Application of entropies for automated diagnosis of abnormalities in ultrasound images: A review
๐Ÿ‘ฉโ€๐Ÿ”ฌ Y Hagiwara, VK Sudarshan, SS Leong, A Vijaynanthan, KH Ng
๐Ÿ“˜ Journal of Mechanics in Medicine and Biology, 2017, Vol. 17(07), Article 1740012

Shear wave elastography in chronic kidney disease โ€“ the physics and clinical application
๐Ÿ‘ฉโ€๐Ÿ”ฌ KH Ng, JHD Wong, SS Leong
๐Ÿ“˜ Physical and Engineering Sciences in Medicine, 2024, Vol. 47(1), pp. 17โ€“29

THE ROLE OF SHEAR WAVE ELASTOGRAPHY IN POST-MORTEM CANINES
๐Ÿ‘ฉโ€๐Ÿ”ฌ SS Leong, WK Ong, RR Azman, MNM Shah, A Vijayananthan, SF Lau
๐Ÿ“˜ Journal of Medical Imaging and Radiation Sciences, 2023, Vol. 54(3), Supplement S9

Dispersion patterns of scattered radiation exposure on phantom in CT fluoroscopy
๐Ÿ‘ฉโ€๐Ÿ”ฌ SS Leong, N Azman, A Vijayananthan, JHD Wong
๐Ÿ“˜ Radiation Physics and Chemistry, 2025, Vol. 235, Article 112810

Defining normal enthesis stiffness range in a healthy adult population
๐Ÿ‘ฉโ€๐Ÿ”ฌ MKJ Mahazer, SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, …
๐Ÿ“˜ British Journal of Radiology, 2025, Vol. 98(1167), Article 469โ€“474

Quantifying canine tissue stiffness change patterns using shear-wave elastography: implications for time of death estimation
๐Ÿ‘ฉโ€๐Ÿ”ฌ WK Ong, SS Leong, RR Azman, MN Md Shah, A Vijayananthan, SF Lau
๐Ÿ“˜ Australian Journal of Forensic Sciences, 2024, pp. 1โ€“14

Dr Gevorg Gevorg | Thermodynamics of Materials | Best Researcher Award

Dr Gevorg Gevorg | Thermodynamics of Materials | Best Researcher Award

Dr. Gevorg Avรกgovich Grigorian ๐ŸŽ“๐Ÿ“ is a senior researcher at the Institute of Mathematics, National Academy of Sciences of Armenia ๐Ÿ‡ฆ๐Ÿ‡ฒ. His research expertise lies in ordinary differential equations (ODEs), with a special focus on oscillation theory, stability analysis, and Wienerโ€“Hopf integral equations. ๐Ÿงฎ๐Ÿง  He has authored over 15 peer-reviewed publications in esteemed journals such as Mathematical Notes and Monatshefte fรผr Mathematik ๐Ÿ“๐Ÿ“š. Dr. Grigorian’s contributions offer theoretical foundations vital for applications in physics, engineering, and computational modeling. His rigorous work continues to shape the future of applied mathematics and system dynamics. ๐ŸŒ๐Ÿ“Š๐Ÿ”

Dr Gevorg Gevorg, Institute of Mathematics of the National Academy of Science of the Republic of Armenia, Armenia

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Education ๐ŸŽ“

Dr. Gevorg Avรกgovich Grigorian ๐ŸŽ“๐Ÿ“˜ earned his advanced degrees in Mathematics from prestigious institutions in Armenia, specializing in ordinary differential equations, stability theory, and integral equations. ๐Ÿง ๐Ÿ“ His academic foundation was built through rigorous training in classical analysis, linear algebra, and functional methods. ๐Ÿ›๏ธ๐Ÿ“Š As a product of Armeniaโ€™s elite mathematical education system ๐Ÿ‡ฆ๐Ÿ‡ฒ, Dr. Grigorian has demonstrated exceptional analytical acumen, leading to a prolific research career at the Institute of Mathematics, National Academy of Sciences of Armenia. His deep understanding of mathematical systems continues to influence modern theoretical approaches in applied and pure mathematics. ๐Ÿ“š๐Ÿ”ฌ๐ŸŒ

Experience โœ๏ธ

Dr. Gevorg Avรกgovich Grigorian ๐Ÿ“˜๐Ÿง  has extensive experience as a mathematical researcher at the Institute of Mathematics, National Academy of Sciences of Armenia ๐Ÿ‡ฆ๐Ÿ‡ฒ. With a career dedicated to the in-depth study of first-order ordinary differential equations, he has contributed groundbreaking work on oscillation theory, stability, and integral equations. ๐Ÿงฎ๐Ÿ” He has published in top journals like Mathematical Notes and Monatshefte fรผr Mathematik, and is recognized for his rigorous analytical methods. ๐Ÿ“ˆโœ๏ธ Dr. Grigorianโ€™s expertise supports interdisciplinary applications across engineering, physics, and computational modeling, marking him as a key figure in mathematical innovation. ๐ŸŒ๐Ÿ“

Research Focus ๐Ÿ”

Dr. Grigorianโ€™s research is rooted in ordinary differential equations (ODEs), with a sharp focus on oscillation theory, stability analysis, and integral equations such as the Wienerโ€“Hopf type. ๐Ÿงฎ His recent work investigates solvability criteria for complex systems, aiming to bridge abstract mathematical theory with applications in physics, engineering, and signal processing. โš™๏ธ๐Ÿ“Š He develops new analytical frameworks for understanding nonhomogeneous systems, Riccati equations, and linear dynamical models. Through 15+ publications, he contributes to advancing the theory of dynamic systems, particularly in system reducibility, asymptotic behavior, and global solution existence. ๐ŸŒ๐Ÿ”๐Ÿ“

Publication ๐Ÿ“˜

Solvability Conditions for a Class of Wienerโ€“Hopf Integral Equations of the First Kind ๐Ÿงฎ๐Ÿ“˜

โœ๏ธ Author:
Gevorg Avรกgovich Grigorian ๐Ÿ‘จโ€๐Ÿซ

๐Ÿ“š Journal:
Mathematical Notes, 2025 ๐Ÿ“ฐ๐Ÿ“

Dr Adam Ghoneim | Computational Material Science | Best Researcher Award

Dr Adam Ghoneim | Computational Material Science | Best Researcher Award

Adam Y. Ghoneim is an aerospace research technologist and mechanical engineer specializing in computational fluid dynamics, phase-field modeling, and metal additive manufacturing. He holds a Ph.D. in Mechanical Engineering from the University of Manitoba and has over a decade of experience in applied research, design engineering, and simulation. Adam has contributed to both academia and industry, with expertise in meshfree methods, scientific programming, and advanced manufacturing technologies. He currently leads research and development projects at Red River College Polytechnic and is actively involved in mentoring and teaching.

Dr. Adam Ghoneim, Red River College Polytechnic, Canada

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๐ŸŽ“ Education

Adam Y. Ghoneim holds a Ph.D. in Mechanical Engineering from the University of Manitoba, earned between 2008 and 2012. Prior to this, he completed both his Master of Science (2006โ€“2008) and Bachelor of Science (2001โ€“2006) in Mechanical Engineering at the same institution..

๐ŸŒŸ Experience

Adam is currently serving as an Aerospace Research Technologist at the Technology Access Center for Aerospace and Manufacturing at Red River College Polytechnic, where he leads CFD and FEA analyses, develops custom scientific software, and oversees 3D printing and scanning applications. Since 2013, he has also held the position of Research Fellow in the Department of Mechanical Engineering at the University of Manitoba, where he has published extensively in high-impact journals. His earlier experience includes a post-doctoral fellowship and research assistantship focusing on phase bonding and simulation modeling. In industry, Adam has served as a Mechanical Design Engineer at MacDon Industries, Buhler Versatile Inc., and New Flyer Industries, as well as a Repair Development Engineer at StandardAero. His roles have spanned CAD modeling, HVAC analysis, tooling design, finite element and fluid dynamics simulations, and product development across various aerospace and manufacturing applications. He also has teaching and mentoring experience at Red River College Polytechnic and the University of Manitoba.

๐Ÿ… Awards and Honors

Adam received a High Academic Standing Entrance Award in 2000 and is currently under review for a $100,000 Research Manitoba Grant in 2025, recognizing his continued contributions to applied research and innovation.

๐Ÿ“– Books and Chapters

Dr. Adam Y. Ghoneim has contributed to several conference proceedings and scholarly works, particularly in the domain of materials bonding and computational modeling. His research appears in edited volumes such as the Proceedings of the International Brazing and Soldering Conference and the 7th International Symposium on Superalloy 718 and Derivatives, where he co-authored chapters on transient liquid phase bonding of advanced alloys. These works highlight his expertise in joining technologies for high-performance materials. His book chapter contributions reflect applied research with real-world implications in aerospace and metallurgical engineering.

๐Ÿ”ฌ Research Focus

His research is centered on Computational Fluid Dynamics and Applied Mathematics. He has a strong emphasis on meshfree phase-field methods used in the study of multiphase flow, phase transformations, and metal additive manufacturing. He has developed innovative simulation techniques using smoothed particle hydrodynamics, radial basis functions, and moving least squares approaches, contributing to a deeper understanding of dendritic solidification and solutal melting.

๐Ÿ“˜ Publications

Microstructure and mechanical response of transient liquid phase joint in Haynes 282 superalloy
Authors: A. Ghoneim, O.A. Ojo
Year: 2011
Journal: Materials Characterization, Volume 62, Issue 1, Pages 1โ€“7

Numerical modeling and simulation of a diffusion-controlled liquidโ€“solid phase change in polycrystalline solids
Authors: A. Ghoneim, O.A. Ojo
Year: 2011
Journal: Computational Materials Science, Volume 50, Issue 3, Pages 1102โ€“1113

Asymmetric diffusional solidification during transient liquid phase bonding of dissimilar materials
Authors: A. Ghoneim, O.A. Ojo
Year: 2012
Journal: Metallurgical and Materials Transactions A, Volume 43, Pages 900โ€“911

On the influence of boron-addition on TLP bonding time in a Niโ‚ƒAl-based intermetallic
Authors: A. Ghoneim, O.A. Ojo
Year: 2010
Journal: Intermetallics, Volume 18, Issue 4, Pages 582โ€“586

A smoothed particle hydrodynamics-phase field method with radial basis functions and moving least squares for meshfree simulation of dendritic solidification
Author: A. Ghoneim
Year: 2020
Journal: Applied Mathematical Modelling, Volume 77, Pages 1704โ€“1741