Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Dr. Sook Sam Leong 🎓🩻 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 🧠🔬. Her impactful work includes shear wave elastography, MRI training in VR, and fatty liver assessment via ultrasound 🧪💻. She has authored 20+ peer-reviewed articles in top journals 📚🌍 and received multiple awards 🏆 for innovation and scientific merit. A passionate educator and grant leader, Dr. Leong advances clinical imaging through research, mentorship, and international collaboration 🤝✨.

Dr SOOK SAM LEONG, UNIVERSITI TEKNOLOGI MARA, Malaysia

Profile

SCOPUS

ORCID

GOOGLESCHOALR

🎓 Education

Dr. Sook Sam Leong 🎓 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 🥇, following her Master in Medical Science (Ultrasound) in 2013. Her academic journey began with a Diploma in Medical Radiography (2003) 🏥 from the same university. In 2007, she completed a B.Sc. in Radiographic Science at the University of Teesside with First Division Honors 🏆. She also trained at Jefferson Ultrasound Research and Education Institute (JUREI) in 2004, completing a Basic Abdominal Ultrasound Course 🔬📸.

👩‍⚕️Experience

Dr. Sook Sam Leong brings over 20 years of multidisciplinary clinical and academic experience in diagnostic imaging 🏥🩻. Starting as a Senior Radiographer at University of Malaya Medical Centre (2003–2021) and now a Senior Lecturer at Universiti Teknologi MARA (UiTM), she has specialized in ultrasound, CT, MRI, radiation protection, and digital radiography 💻🔬. She has served on ethics, program planning, and medical technology committees 🧠📊, and contributed as a consultant for Philips Ultrasound and Malaysia’s Ministry of Health. An accomplished educator 🎓, she has taught ultrasound and CT at leading universities, mentoring the next generation of radiology professionals 🧑‍🏫🌟.

🏆 Awards 

Dr. Leong has earned multiple prestigious awards including the 🥇 Best Innovation Award (UiTM, 2023), 🥈 Best Researcher Award (2022), and 🎖️ Outstanding Scientific Merit Award (AACRT, 2023). Her accolades reflect her excellence in clinical imaging, innovation, and scientific impact. She also secured competitive research funding 💰, leading the FRGS grant (RM108,600, 2023–2025) 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 🧪📊👩‍⚕️.

🖥️ Expertise 

Dr. Leong is a highly skilled expert in Ultrasound 🧪, Computed Tomography (CT) 🖥️, and General Radiography 📷, 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 🩺🧬. 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 🧠🌍.

🩻Contributions

Dr. Sook Sam Leong has significantly advanced ultrasound elastography, AI-assisted diagnostics, and clinical imaging 📊🧠. With over 20 WOS-indexed publications 📚 and an h-index of 11 📈, her research has revolutionized imaging for kidney disease, musculoskeletal disorders, and forensic applications 🧬🦴. As FRGS principal investigator, she explores stiffness biomarkers via shear wave elastography 💡. Her excellence is recognized with awards like AACRT 2025 Best Paper and UiTM Innovation Award 2023 🏅. Dr. Leong continues to impact global health through AI integration, collaborative research, and postgraduate mentorship 🌍🎓.

🔬 Research Focus

Dr. Sook Sam Leong’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 🤖📊. She also investigates radiation safety, forensic imaging, and VR-based MRI education 🛡️🧍‍⚕️. 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 🌍💡📈.

📚 Publications

2D shear wave elastography for the assessment of quadriceps entheses—a methodological study
👩‍🔬 SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, LSM Yamin, …
📘 Skeletal Radiology, 2024, Vol. 53(3), pp. 455–463

Application of entropies for automated diagnosis of abnormalities in ultrasound images: A review
👩‍🔬 Y Hagiwara, VK Sudarshan, SS Leong, A Vijaynanthan, KH Ng
📘 Journal of Mechanics in Medicine and Biology, 2017, Vol. 17(07), Article 1740012

Shear wave elastography in chronic kidney disease – the physics and clinical application
👩‍🔬 KH Ng, JHD Wong, SS Leong
📘 Physical and Engineering Sciences in Medicine, 2024, Vol. 47(1), pp. 17–29

THE ROLE OF SHEAR WAVE ELASTOGRAPHY IN POST-MORTEM CANINES
👩‍🔬 SS Leong, WK Ong, RR Azman, MNM Shah, A Vijayananthan, SF Lau
📘 Journal of Medical Imaging and Radiation Sciences, 2023, Vol. 54(3), Supplement S9

Dispersion patterns of scattered radiation exposure on phantom in CT fluoroscopy
👩‍🔬 SS Leong, N Azman, A Vijayananthan, JHD Wong
📘 Radiation Physics and Chemistry, 2025, Vol. 235, Article 112810

Defining normal enthesis stiffness range in a healthy adult population
👩‍🔬 MKJ Mahazer, SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, …
📘 British Journal of Radiology, 2025, Vol. 98(1167), Article 469–474

Quantifying canine tissue stiffness change patterns using shear-wave elastography: implications for time of death estimation
👩‍🔬 WK Ong, SS Leong, RR Azman, MN Md Shah, A Vijayananthan, SF Lau
📘 Australian Journal of Forensic Sciences, 2024, pp. 1–14

Dr Gevorg Gevorg | Thermodynamics of Materials | Best Researcher Award

Dr. Gevorg Avágovich Grigorian 🎓📐 is a senior researcher at the Institute of Mathematics, National Academy of Sciences of Armenia 🇦🇲. His research expertise lies in ordinary differential equations (ODEs), with a special focus on oscillation theory, stability analysis, and Wiener–Hopf integral equations. 🧮🧠 He has authored over 15 peer-reviewed publications in esteemed journals such as Mathematical Notes and Monatshefte für Mathematik 📝📚. 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. 🌐📊🔍

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

Profile

SCOPUS

Education 🎓

Dr. Gevorg Avágovich Grigorian 🎓📘 earned his advanced degrees in Mathematics from prestigious institutions in Armenia, specializing in ordinary differential equations, stability theory, and integral equations. 🧠📐 His academic foundation was built through rigorous training in classical analysis, linear algebra, and functional methods. 🏛️📊 As a product of Armenia’s elite mathematical education system 🇦🇲, 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. 📚🔬🌍

Experience ✍️

Dr. Gevorg Avágovich Grigorian 📘🧠 has extensive experience as a mathematical researcher at the Institute of Mathematics, National Academy of Sciences of Armenia 🇦🇲. 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. 🧮🔍 He has published in top journals like Mathematical Notes and Monatshefte für Mathematik, and is recognized for his rigorous analytical methods. 📈✍️ Dr. Grigorian’s expertise supports interdisciplinary applications across engineering, physics, and computational modeling, marking him as a key figure in mathematical innovation. 🌍📐

Research Focus 🔍

Dr. Grigorian’s research is rooted in ordinary differential equations (ODEs), with a sharp focus on oscillation theory, stability analysis, and integral equations such as the Wiener–Hopf type. 🧮 His recent work investigates solvability criteria for complex systems, aiming to bridge abstract mathematical theory with applications in physics, engineering, and signal processing. ⚙️📊 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. 🌐🔍📐

Publication 📘

Solvability Conditions for a Class of Wiener–Hopf Integral Equations of the First Kind 🧮📘

✍️ Author:
Gevorg Avágovich Grigorian 👨‍🏫

📚 Journal:
Mathematical Notes, 2025 📰📐