Author: Material Scientist

🎓 Education

Assoc. Prof. Dr. Zhongnan Wang holds dual Ph.D. degrees in Engineering from the University of Warwick 🇬🇧 (2017) and in Mechatronic Engineering from Harbin Institute of Technology 🇨🇳 (2016), demonstrating a strong international academic foundation. He earned his Master’s degree in Engineering from Harbin Institute of Technology in 2009 and a Bachelor’s degree in Engineering from Northeast Agricultural University in 2006. His interdisciplinary education bridges mechanical systems, automation, and materials science 🧪⚙️🧠, equipping him with robust theoretical knowledge and practical skills to lead innovation in advanced tribology, sensors, and hydrogel materials.

🏫 Experience

Dr. Zhongnan Wang has been serving as an Associate Professor at the School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University since March 2020 🏫⚙️. Prior to this, he was a Postdoctoral Researcher at the prestigious State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University from August 2017 to November 2019 🔬🇨🇳. During his postdoctoral tenure, he focused on cutting-edge tribology, nanomaterials, and bio-inspired lubricating systems 🧪💧. His academic career bridges theory and real-world applications in biomechanics, MEMS, and hydrogel development, making him a strong leader in engineering research 🌟📈.

🏅 Honors

Assoc. Prof. Dr. Zhongnan Wang has been recognized for his academic excellence and editorial leadership. He currently serves as Associate Editor of the Open Access Journal of Data Science and Artificial Intelligence (2025–present) and Guest Editor for Lubricants (2025–present). He is also an Editorial Board Member for International Journal of Materials Science and Applications (2024–2027) and Materials Science and Technology (2023–2026). Since 2021, he’s served as a Topic Editor for Materials. As an active reviewer for top journals including ACS Applied Materials & Interfaces, Langmuir, and Scientific Reports, Dr. Wang is widely respected in the global research community.

🧪 Patents

Assoc. Prof. Dr. Zhongnan Wang is revolutionizing soft material science through the development of smart composite hydrogels with advanced lubrication and mechanical properties. His patented inventions include a multi-functional hydrogel designed for biomedical and wearable applications (ZL202210451596.1) and a dopamine-modified nanocomposite hydrogel offering enhanced adhesion and resilience (ZL202310234681.7) ⚙️🦾. These hydrogels mimic biological tissue behavior and hold promise for artificial joints, flexible electronics, and bioinspired robotics. His work bridges materials engineering with biomedicine, paving the way for next-generation smart interfaces and soft actuators 🚀🧠🧤.

🔬 Research Focus

Dr. Zhongnan Wang’s research spans the cutting edge of biotribology, focusing on the mechanical and lubricating properties of hydrogels for biomedical applications 🧬💧. His work in MEMS devices involves developing advanced sensors and actuators for precise mechanical control and detection ⚙️📡. He specializes in micro/nanotribology, investigating friction and wear at the molecular scale 🔍🧲, and employs advanced material characterization techniques to analyze surface interactions and smart coatings. His interdisciplinary studies integrate nanotechnology, soft materials, and biomechanics to create next-generation solutions for artificial joints, robotics, and smart materials 🤖🩻🌟.

📚 Publications

Sensor for a solid–liquid tribological system
Authors: Ruize Zhang, Zeyang Yu, Zhikai Fan, Shanshan Wang, Yihui Xiang, Yanfei Liu*, Zhongnan Wang*
Journal: Sensors, 2025, Vol. 25, Article 437

A bilayer composite hydrogel with simultaneous high load bearing and superior lubrication by dopamine modified nano-hydroxyapatite
Authors: Zhongnan Wang*, Hui Guo, Ji Zhang, Yi Qian, Fanjie Meng, Yueshan Mu
Journal: Surfaces and Interfaces, 2024, Vol. 51, 104680

Two-Dimensional Nanomaterials in Hydrogels and Their Potential Bio-Applications
Authors: Zhongnan Wang, Hui Guo, Ji Zhang, Yi Qian, Yanfei Liu*
Journal: Lubricants, 2024, Vol. 12, Article 149

Electric Potential Controlled Ionic Lubrication
Authors: Zhongnan Wang, Hui Guo, Sudesh Singh, Vahid Adibnia, Hongjiang He, Fang Kang, Ye Yang, Chenxu Liu, Tianyi Han*, Chenhui Zhang
Journal: Lubricants, 2024, Vol. 12, Article 214

Preparation and Properties of Nanocomposite Hydrogel with Dopamine Modification
Authors: Zhongnan Wang*, Hui Guo, Yueshan Mu
Journal: Chinese Journal of Materials Research, 2024, Vol. 38(4), pp. 269–278

Low-Friction Hybrid Hydrogel with Excellent Mechanical Properties for Simulating Articular Cartilage Movement
Authors: Zhongnan Wang*, Fanjie Meng, Yue Zhang, Hui Guo
Journal: Langmuir, 2023, Vol. 39(6), pp. 2368–2379

Tribological Investigation of a Mixed Solution with Superlubricity Achieved
Authors: Fanjie Meng, Zhongnan Wang, Qiuying Chang, Zhiyuan Wang, Jianwen Zhang, Xu Geng
Journal: Journal of Mechanical Engineering, 2022, Vol. 58(11), pp. 210–219

Dr Chenghao Song | Microstructure and Properties | Best Researcher Award

Published on 02/07/202503/07/2025 by Material Scientist

Dr Chenghao Song | Microstructure and Properties | Best Researcher Award

Dr. Chenghao Song is a materials scientist and lecturer at Dongguan University of Technology 🇨🇳. He holds B.S., M.S., and Ph.D. degrees in Materials Science and Engineering from the prestigious University of Science and Technology Beijing (USTB) 🎓. His postdoctoral work at Xi’an Jiaotong University deepened his expertise in advanced high-strength steels, phase transformations, and fatigue behavior ⚙️🧱. His cutting-edge research uses tools like 3D-APT, neutron diffraction, and HEXRD to design next-gen structural materials 🚗🏭. With 13+ SCI papers and several patents, he is shaping the future of durable, sustainable alloys for industry 🌍🛠️.

Dr Chenghao Song, Dongguan University of Technology, China

Profile

🎓 Education

Dr. Chenghao Song has a strong academic foundation in materials science and engineering 🧪🔬. He earned his B.S. (2009–2013) from the School of Advanced Engineering, USTB 🎓 with honors under the Excellent Engineers Education Training Plan ⭐. He continued at USTB for his M.S. (2013–2015) and Ph.D. (2015–2019) under Prof. Hao Yu, focusing on advanced alloys and microstructural evolution 🏗️📊. Following his doctorate, he completed a postdoctoral fellowship (2019–2020) at Xi’an Jiaotong University 🏫 in mechanical engineering. Since 2020, he has been a Lecturer at Dongguan University of Technology, integrating research and education 📚🧠.

🏫 Experience

Dr. Chenghao Song currently serves as a Lecturer at the School of Mechanical Engineering, Dongguan University of Technology 🏛️, where he contributes to cutting-edge research and teaching in materials science and engineering 🧪📘. Previously, he completed postdoctoral research at Xi’an Jiaotong University 🔬, focusing on mechanical behavior and microstructural analysis of steels. His academic journey has equipped him with deep expertise in phase transformation, fatigue analysis, and thermo-mechanical modeling ⚙️📈. Located at Songshan Lake in Guangdong, his lab integrates simulation and experimentation to advance smart, high-performance materials for automotive and structural applications 🚗🏗️.

🏆 Awards & Honors

Dr. Chenghao Song has received prestigious academic honors for his outstanding achievements in materials science. He was awarded the Excellent Master’s Thesis Award by the University of Science and Technology Beijing 🧠📘, recognizing the quality and innovation of his early research. Additionally, he earned the National Scholarship for Ph.D. students 🥇🎓, one of China’s most competitive and distinguished academic honors, given to top-performing doctoral researchers. These accolades reflect his dedication, academic excellence, and contributions to advanced materials research at both national and institutional levels 🧪🏅.

🛠️ Contributions

Dr. Chenghao Song has actively contributed to multiple high-impact research projects in advanced steels and alloy materials 🔩🧱. His ongoing work with NSFC explores the effect of silicon on dislocation behavior in martensite using neutron diffraction for automotive steels 🚗⚙️. He has also studied interface mass transfer and deformation coordination in stainless steel composites 🔄🧊. Leveraging big data, he helped design lightweight, bone-like structured steels for superior performance 📊🧬. Additionally, he worked on the development of cobalt-chromium alloys for jewelry applications 💍⚒️. These diverse projects reflect his innovation across both industrial and scientific domains.

🔬 Research Focus

Dr. Chenghao Song’s research centers on phase transformations, materials design, and the correlation between microstructure and mechanical properties of engineering alloys ⚙️🧱. Using thermodynamic and kinetic modeling, he develops next-generation steels with tailored performance 🧮🧬. Trained under Prof. Hao Yu, he has expertise in advanced characterization techniques including SEM, EBSD, TEM, FIB, 3D-APT, and HEXRD 🔍🧊. His goal is to decode the “metal genome” 🧬🧠—unraveling microstructural secrets to accelerate material innovation. By linking atomic-scale features to macro-performance, his work contributes to designing stronger, lighter, and more sustainable materials for critical applications 🚗🏗️.

📚 Publications

Effect of Si on the dislocation state within martensite of ultra-high strength hot-rolled medium Mn steel with good ductility
Authors: Chenghao Song, Zhenshan Zhang, Wenyuan Wu, Haoliang Wang, Zhenzhong Sun, Yuhui Yang, Weifeng He, Juping Xu, Yuanguang Xia, Wen Yin et al.
Journal: Materials Science and Engineering: A (2023)

The Grey-Taguchi method analysis for processing parameters optimization and experimental assessment of 42CrMo steel treated by ultrasonic surface rolling
Authors: Yuhui Yang, Xin Wei, Zhili Long, Chenghao Song, Chunxiao Xie, Jiajie Lin
Journal: Journal of Materials Research and Technology (2023)

Developing NiAl-strengthened HSLA steels by controlling nanoscale precipitation and high-angle boundaries
Authors: Xiangyun Zhang, Jialong Wang, Shiyun Liu, Ling Yan, Chenghao Song, Hao Yu
Journal: Materials Science and Engineering: A (2022)

Optimization of Selective Laser Melting Process Parameters Via Taguchi’s Methods and Gray Relational Analysis for 3D Printing of 18Ni‐300 Maraging Steel
Authors: Wee King Law, Ziyang Wu, Chenghao Song, Haoliang Wang, Kok-Cheong Wong, Chin Seong Lim, Zhenzhong Sun
Journal: Steel Research International (2022)

A new hot-rolled lightweight steel with ultra-high strength and good ductility designed by dislocation character and transformation strain
Author: Chenghao Song
Journal: Scripta Materialia (2022)

Nano-precipitation leading to linear zero thermal expansion over a wide temperature range in Ti22Nb
Authors: Wang H., Lai D.K.Z., Xu J., Yin W., Song C., Zhao Y., Yang Y., Bönisch M., Sun Z.
Journal: Scripta Materialia (2021)

Mechanical Behaviors of Microalloyed TRIP-Assisted Annealed Martensitic Steels under Hydrogen Charging
Authors: Xiongfei Yang, Hao Yu, Chenghao Song, Lili Li
Journal: Materials (2021)

Assoc. Prof. Dr Yu-Hsiang Hsu | Smart Materials | Best Researcher Award

Published on 02/07/2025 by Material Scientist

Assoc. Prof. Dr Yu-Hsiang Hsu | Smart Materials | Best Researcher Award

Assoc. Prof. Dr. Yu-Hsiang Hsu is a leading researcher at National Taiwan University 🇹🇼 specializing in biomedical engineering, microfluidics, and wearable technology 🧠🩺👕. He heads the Microphysiological System & Smart Wearables Lab, focusing on organ-on-chip systems 🧪 and piezoelectric fiber sensors for non-invasive health monitoring 💓📈. With a Ph.D. from UC Irvine and postdoctoral experience at Caltech, Dr. Hsu has published 30+ high-impact papers 📚 and holds 24 patents 🧾. His interdisciplinary innovations bridge medicine, engineering, and materials science—making him a global contributor to next-gen health technologies 🌍💡.

Assoc. Prof. Dr Yu-Hsiang Hsu, National Taiwan University, Taiwan

Profile

🎓 Education

Dr. Yu-Hsiang Hsu holds a Ph.D. in Biomedical Engineering 🧠🔧 and a Master’s in the same field from the University of California, Irvine 🇺🇸. He also earned dual degrees from National Taiwan University 🇹🇼, with a B.Sc. in Mechanical Engineering ⚙️ and a Master’s in Applied Mechanics 📐. His interdisciplinary academic journey bridges engineering, medicine, and microtechnology, laying a strong foundation for his innovations in organ-on-chip and wearable sensor systems. With global academic exposure and cross-disciplinary depth, Dr. Hsu exemplifies a scholar trained to solve real-world health and technology challenges through integrated education 🌍🎓🧪.

👨‍🏫 Experience

Assoc. Prof. Dr. Yu-Hsiang Hsu has been with National Taiwan University (NTU) since 2013, initially as an Assistant Professor and later promoted to Associate Professor in 2019 👨‍🏫🎓. At NTU’s Institute of Applied Mechanics, he leads the Microphysiological System & Smart Wearables Lab, driving innovation in organ-on-chip platforms and flexible biosensors 🧬📡. His work merges biomedical engineering with real-world applications in health monitoring and drug testing. With over a decade of academic leadership, he has mentored students, collaborated globally, and secured 24 patents for his pioneering biomedical technologies 🔬🌍🧾.

⚙️ Smart Systems Research

Assoc. Prof. Dr. Yu-Hsiang Hsu has made pioneering contributions to smart systems, particularly in piezoelectric-driven technologies for biomedical and precision applications. His research includes the development of 2D piezoelectric traveling-wave generators 🔄, miniature pumps for medical use 💉, and ultrasonic micro-droplet generators 🌊💧. Innovations like the multi-integer frequency two-mode (MIF-TM) method and gated two-frequency motorization enhance control and performance in smart actuators and sensors 📈. Published in top journals like Smart Materials and Structures and Sensors and Actuators, Dr. Hsu’s work bridges mechanical design, microfluidics, and biomedical engineering seamlessly for next-gen health tech ⚙️🩺.

🔬 Research Focus

Dr. Yu-Hsiang Hsu’s research bridges biomedical engineering, mechanics, and smart materials to advance wearable health technology and organ-on-chip systems 🩺🔬. His work includes developing ultra-compliant piezoelectric fiber sensors for monitoring muscle activity, fatigue, and swallowing dynamics 💪👅, as well as creating microfluidic tumor models and cardiac tissues-on-chip for drug screening and disease modeling 🧬🫀. He explores how mechanical signals govern cell behavior and tissue function, leveraging precision engineering for non-invasive diagnostics and physiological simulation ⚙️🧫. His innovations are enabling smarter, more responsive tools for healthcare and biomedical research 🌐💡.

📚 Publications

An ultra-compliant P(VDF-TrFE) fiber-based muscle patch sensor for a new wearable application: Monitoring muscle activities and fatigue through the peripheral length of a muscle’s physiological cross-sectional area
Authors: Yu-Hsiang Hsu et al.
Journal: Sensors and Actuators A: Physical (2025)

A piezoelectric swallow patch sensor and its correlation to the physiological swallowing processes
Authors: Yu-Hsiang Hsu et al.
Journal: Smart Materials and Structures (2025)

Spatially controlled diffusion range of tumor-associated angiogenic factors to develop a tumor model using a microfluidic resistive circuit
Authors: Yu-Hsiang Hsu et al.
Journal: Lab on a Chip (2024)

Regional activation of a composite plate using selective actuation from multiple piezoelectric actuators
Authors: Yu-Hsiang Hsu et al.
Conference: Engineering Conference Presentation

Study on the coupling effect of a plate-type piezoelectric vibrator and a polymer-based rod array
Authors: Yu-Hsiang Hsu et al.
Conference: Engineering Conference Presentation

Design and Development of a Miniature Self-propelled Ultrasonic Piezoelectric Plate Motor
Authors: Yu-Hsiang Hsu et al.
Conference: Robotics/MEMS Conference

Precision Control of a Multi-Axis Robotic Arm Using Sliding Mode Control with PID Control Method
Authors: Yu-Hsiang Hsu et al.
Conference: Control Engineering Symposium

Control of a multi-direction piezoelectric linear motor using a gyroscopic feedback control
Authors: Yu-Hsiang Hsu et al.
Conference: Mechatronics/Control Conference

Prof. Dr Jiang Chao | Biomaterials | Best Researcher Award

Published on 02/07/2025 by Material Scientist

Prof. Dr Jiang Chao | Biomaterials | Best Researcher Award

Dr. Jiang Chao 🎓🧠 is a leading neurologist and researcher at the Second Affiliated Hospital of Xi’an Medical University, specializing in integrative medicine, cerebrovascular diseases, and neuro-AI. With a Ph.D. from Shanghai University of Traditional Chinese Medicine, he has published over 90 scientific papers 📚, including 33 SCI-indexed articles 🌐. His innovations span AI-driven diagnostics, ALS interventions, and electroacupuncture therapies ⚙️🧪. Holder of 8 patents and author of 6 medical books, he also plays pivotal roles in 40+ medical associations 🏅. Dr. Jiang is shaping the future of clinical neuroscience and integrative neurology worldwide. 🌍💡

Prof. Dr jiang chao, The Second Affiliated Hospital of Xi ‘an Medical University, China

Profile

🎓 Education

Dr. Jiang Chao earned his Ph.D. in Integrative Medicine (Neurology) from Shanghai University of Traditional Chinese Medicine in 2014. Currently, he serves as Director of Neurology at the Second Affiliated Hospital of Xi’an Medical University and Adjunct Professor at Northwestern University School of Medicine, Xi’an 🇨🇳. He is also the Honorary Director of the Tuberculosis Meningitis Department at Shaanxi Province’s Fifth Hospital 🏥. His academic journey is enriched by over 70 high-impact publications 📚 and a commitment to advancing medical education, with expertise spanning AI in neurology, stroke management, and clinical innovation 🔬💡.

🏥 Experience

Dr. Chao Jiang 🧠🎓 is currently the Director of Neurology at the Second Affiliated Hospital of Xi’an Medical University (2018–present) 🏥, where he leads advancements in cerebrovascular and neurological care. He also serves as Honorary Director (Tuberculosis Meningitis Specialist) at the Fifth Hospital of Shaanxi Province 🧬 and Adjunct Professor at Northwestern University School of Medicine, Xi’an 🎓. Previously, he completed a Postdoctoral Fellowship at Longhua Hospital, Shanghai University of Traditional Chinese Medicine (2019–2022), focusing on emergency neurology 🚨. His multidisciplinary experience bridges clinical neurology, AI applications, and integrative therapies, making him a pioneer in translational brain health research. 💡🧪

🧬 Contributions

Dr. Jiang Chao’s research investigates the therapeutic potential of early electroacupuncture (EA) on amyotrophic lateral sclerosis (ALS) by targeting the HMGB1/TLR4 signaling pathway 🔬🧬. The study aims to assess how EA modulates related protein expression and preserves oligodendrocyte integrity, ultimately improving motor function in ALS-affected mice 🦴🏃‍♂️. This innovative work integrates molecular neurobiology with traditional Chinese medicine, offering promising insights into non-pharmacological intervention for neurodegeneration. Dr. Jiang’s findings contribute significantly to neuroinflammation regulation, opening new doors for ALS treatment using integrative approaches. 🌿🧪💡

🔬 Research Focus

Prof. Dr. Jiang Chao’s research lies at the intersection of neurology and integrated traditional Chinese and Western medicine 🧬🌿. His work explores innovative, evidence-based approaches to treating neurological disorders such as stroke, Parkinson’s disease, and Alzheimer’s through synergistic therapies combining modern neuroscience 🧠 and classical Chinese herbal and acupuncture practices 🪷💉. He aims to enhance clinical outcomes, reduce side effects, and personalize treatment through integrative protocols. His research contributes to bridging the gap between ancient healing wisdom and cutting-edge biomedical science, promoting a holistic and effective model for neurological care and brain health 🩺🌐.

📚 Publication

[Retracted] Downregulation of LHPP Expression Associated with AFP Acts as a Good Prognostic Factor in Human Hepatocellular Carcinoma
Authors: Xu Chao, Wei Zhang, Jieqiong Wu, Xuesong Feng, Hailong Shi, Luyan Zhao, Haiyu Shen, Chao Jiang, Qian Wang
Journal: BioMed Research International (2021)

Effects of Electroacupuncture on the HMGB1/TLR4 Pathway and Oligodendrocytes in the Cerebral Cortex of Mice with Amyotrophic Lateral Sclerosis
Authors: Jiawei Zeng, Weijia Zhao, Junyang Liu, Shanshan Liu, Le Li, Weixing Feng, Yingqian Zhao, Qiang Wang, Chao Jiang
Journal: Journal of Acupuncture and Tuina Science (2025)

Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

Published on 30/06/2025 by Material Scientist

Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

Dr. Maryam Mirfatah 🎓 is a macroeconomist with expertise in monetary policy, exchange rate regimes, and DSGE modeling. She earned her Ph.D. in Economics from Yazd University and has held research positions at leading institutions like the London School of Economics, King’s College London, and currently, Banco de Portugal 🇵🇹. Her work blends empirical policy analysis 📊 with applied macroeconomics, publishing in top journals like Economic Modelling. A UK HEA Fellow 👩‍🏫, she actively contributes to global economic dialogues 🌍 through collaborations and international conferences. Dr. Mirfatah’s research supports sustainable, evidence-based policymaking across diverse economies. 📈📚💡

Dr Maryam Mirfatah, King’s College London, United Kingdom

Profile

🎓 Education

Dr. Maryam Mirfatah holds a Ph.D. in Economics (2019) from Yazd University, Iran, with a thesis focused on “Money Growth Rules in Emerging Economies” 📈🌍. She earned her M.Sc. in Economics (2011) from Azad University of Isfahan and a B.Sc. in Statistics (2006) from Isfahan University of Technology 📊📘. Committed to teaching excellence, she completed a Graduate Certificate in Learning and Teaching (2020) at the University of Surrey, earning Fellowship of the Higher Education Academy (FHEA) 👩‍🏫🌟. Additionally, she participated in the prestigious GTA Workshop at the London School of Economics in 2024 🎓🇬🇧.

🏛️ Experience

Dr. Maryam Mirfatah is a highly accomplished economist with over 15 years of professional experience in academic, policy, and industry roles 🌍📊. She currently serves as a Research Fellow at Banco de Portugal 🏛️ and a Visiting Fellow at King’s Business School, London, focusing on macroeconomic policy and global financial spillovers. Her academic roles span King’s College London, LSE, and City University of London, where she teaches macroeconomics, econometrics, DSGE modeling, and policy design 🎓📈. She also has corporate experience in financial risk analysis and feasibility studies in Iran’s steel and mining sectors 🏗️💼, blending technical expertise with real-world economic application.

🌍 Presentation

Dr. Maryam Mirfatah has actively contributed to prestigious international economic conferences 🌍📈. From 2019 to 2025, she presented at events such as the CEBRA Annual Meeting 🇩🇪, Southern Economic Association® Meetings 🇺🇸, Money Macro and Finance Society Conferences 🇬🇧, and Computing in Economics and Finance Conferences 🇫🇷🇨🇦. Her insights have been showcased at T2M at CREST, France (2025) and India’s ISI Growth Conference (2021) 🇮🇳. Dr. Mirfatah’s work bridges macroeconomics, finance, and computational modeling, earning global recognition and fostering interdisciplinary academic dialogue 📊💡🤝. Her frequent invitations reflect her influence in modern economic theory and policy research.

🔍 Research Focus

Dr. Maryam Mirfatah’s research bridges monetary economics and international macroeconomics with a forward-looking lens on climate change and energy transition 🌱⚡. Her interests span monetary and fiscal policy, open economy macroeconomics, and macro-financial stability 💼🏦. She delves into the interplay between macroprudential frameworks and global economic shocks, analyzing how policies can foster resilience in volatile financial systems 📉🛡️. Her work is crucial in shaping economic strategies that align sustainability with stability, offering insights into managing cross-border financial risks and driving green economic transformation for a more balanced and future-ready world 🌐🌿.

📚 Publications

LAMP, Informality and Monetary Growth Rules in an Emerging Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: Economic Modelling (2025)
Explores macroeconomic policy and informal sector dynamics in emerging markets.

Optimal Liquidity Provision and Interest Rate Rules: A Tale of Two Frictions
Authors: P. Levine, M. Mirfatah, J. Pearlman, S. Tsiaras
Journal: School of Economics Discussion Papers (2023)
Investigates interest rate policy under market frictions in a DSGE framework.

Monetary Growth Rules in an Emerging Open Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: School of Economics Discussion Papers (2020)
Focuses on monetary rule design in economies with exchange rate volatility.

Imperfect Exchange Rate Pass-through: Empirical Evidence and Monetary Policy Implications
Authors: V. Gabriel, P. Levine, M. Mirfatah, J. Swarbrick
Year: 2019
Empirical study analyzing how exchange rate fluctuations impact domestic prices.

Analysis of the Impact of Good Governance on the Non-Oil Export of Oil Exporting Countries
Authors: H. Sharifi-Renani, H. Mollaesmaeili-Dehshiri, M. Mirfatah
Journal: Journal of Economic Policy and Research 8(1), 1–10 (2013)
Early work examining governance and diversification in oil-dependent economies.

Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Published on 27/06/202527/06/2025 by Material Scientist

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

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

Published on 26/06/2025 by Material Scientist

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

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 📰📐

Mr Edmond Didier Medongou Tejiogho | Sustainability in Material Science | Best Researcher Award

Published on 25/06/202525/06/2025 by Material Scientist

Mr Edmond Didier Medongou Tejiogho | Sustainability in Material Science | Best Researcher Award

Mr. Edmond Didier Medongou Tejiogho is a dynamic civil engineering researcher specializing in sustainable construction materials. Currently pursuing a Master’s in Civil Engineering (Structures) at PAUISTI, Kenya, he holds a B.Tech and HND in Civil Engineering. His research explores innovative geopolymer-stabilized earth blocks for low-carbon construction. Edmond combines hands-on fieldwork 🏗️ with strong technical skills in AutoCAD, ArchiCAD, ETABS 💻, and project supervision. Multilingual in English, French, Fulfulde, and Pidgin 🌐, he brings cross-cultural fluency to international collaborations. His commitment to eco-friendly engineering solutions and academic excellence makes him a rising star in sustainable infrastructure development. 🏆🧪

Profile

Education 🎓

Mr. Edmond Didier Medongou Tejiogho has a strong academic foundation in civil and technical sciences. He is currently pursuing an MSc in Civil Engineering (Structures) at the Pan African University Institute in Kenya (2023–2025) 🌍🏗️. He previously earned a Bachelor of Technology in Civil Engineering 🏗️ and a Higher National Diploma in Building Construction 🧱, both with Second Class Upper Division honors. Earlier studies included Computer Engineering 💻 and Computer Science, alongside excellent performance in GCE Advanced (5 papers) and Ordinary Levels (10 papers) 🧮📚. His academic journey reflects resilience, adaptability, and technical versatility. 🧠✅

Experience 🏗️

Mr. Edmond Didier Medongou Tejiogho has a solid background in both practical and academic civil engineering. With a B.Tech and an MSc focused on sustainable materials, he has conducted in-depth research on geopolymer-stabilized earth blocks 🧱. His fieldwork includes infrastructure development, structural assessment, and material testing across projects in Cameroon and Kenya. He has led student bodies, facilitated hands-on workshops, and contributed to educational outreach 📚. Proficient in Python and data analysis 💻📈, Edmond integrates computational methods into engineering design and problem-solving, blending traditional structural expertise with modern digital tools for sustainable development 🌱.

Skills 💻

Mr. Medongou possesses strong technical expertise in reading and interpreting civil engineering plans, monitoring and supervision of construction works, and design and execution of structural projects 🏗️. In addition, he excels as a French–English freelance translator 🌍. His computer proficiency includes advanced skills in Microsoft Word, Excel, PowerPoint, and Project 📊, making him effective in documentation and reporting. He demonstrates high-level mastery of engineering design software such as AutoCAD 2D/3D and ArchiCAD 📐, and solid working knowledge of ETABS for structural analysis and modeling—making him well-equipped for modern engineering tasks and project delivery. 🚀🧱

Research Focus 🧪

Mr. Edmond Didier Medongou Tejiogho’s research is rooted in the development of sustainable construction materials, with a strong emphasis on geopolymer technology for enhancing compressed earth blocks (CEBs). His work investigates the durability performance and structural behavior of earthen masonry walls under various conditions. By integrating metakaolin-based geopolymer binders, he aims to produce eco-friendly, low-cost alternatives to traditional cement 🧱♻️. His research aligns with global efforts to reduce the carbon footprint of the construction sector 🌍, advancing innovative solutions that promote resilient, green building systems for sustainable urban and rural development. 🏘️🔬🌿

Publication 📘

Flexural Performance of Ambient‐Cured Metakaolin‐Stabilized Compressed Earth Brick Walls With Cement‐Soil Mortar Joints

✍️ Authors:
Edmond Didier Medongou Tejiogho, Christopher Kanali, François Ngapgue, Isaac Fundi Sanewu

📚 Journal:
Engineering Reports

🗓️ Publication Date:
April 2025

Dr Abdulrahman Azab Mohamed | Computational Materials Science | Best Researcher Award

Published on 24/06/202524/06/2025 by Material Scientist

Dr Abdulrahman Azab Mohamed | Computational Materials Science | Best Researcher Award

Dr. Abdulrahman Azab Mohamed is a visionary researcher in High-Performance Computing (HPC) 🔬, Cloud Federation ☁️, and Data Infrastructure 🔐. He earned his Ph.D. from the University of Stavanger, Norway 🇳🇴, and now serves as Senior Advisor at Sigma2 AS, NeIC, and Science Support Specialist at EuroHPC LUMI 🌍. With 30+ publications 📝 and leadership in major European digital infrastructure projects 🇪🇺, he excels in secure data sharing, meta-scheduling, and reproducibility. Proficient in tools like Docker 🐳, Kubernetes ☸️, and Python 🐍, Dr. Azab is shaping the future of sustainable, federated scientific computing worldwide 🚀.

Dr Abdulrahman Azab Mohamed, University of Oslo & Sigma2/Norwegian Research Infrastructure Services, NRIS, Norway

Profile

Accuracy and efficiency of germline variant calling pipelines for human genome data

🎓 Education

Dr. Abdulrahman Azab Mohamed holds a Ph.D. in Information Technology 🎓 from the University of Stavanger, Norway 🇳🇴, where he developed a novel meta-scheduling architecture for Grid and Cloud federated systems. He earned his Master’s in Automatic Control Systems Engineering ⚙️ from Mansoura University, Egypt 🇪🇬, focusing on semantic Grid and automated virtual organizations. His academic journey began with a B.Sc. in Electronics and Computer Systems Engineering 💻📡, where he graduated top of his class 🥇 with a stellar GPA and deep specialization in computational systems. His foundation blends engineering precision, computational theory, and applied infrastructure innovation.

💼 Experience

Dr. Abdulrahman Azab Mohamed has over 25 years of multifaceted experience across academic 🎓, research 🧪, and industry 💼 domains. Currently serving as Senior Advisor at Sigma2 AS 🇳🇴, he leads initiatives in HPC 🖥️, AI cloud ☁️, and sensitive data infrastructure 🔐. He has held key roles at EuroHPC LUMI 🌍, NeIC 🚀, and the University of Oslo 🏫, managing large-scale digital infrastructure and international collaborations. With hands-on leadership in bioinformatics 🔬, grid/cloud computing ⚙️, and software engineering 💻, Dr. Azab’s career spans strategic planning, technical innovation, and e-science advancement on a global scale 🌐.

📘 Book Chapters

Dr. Abdulrahman Azab Mohamed 📘 has significantly enriched the field of distributed computing and HPC through impactful book contributions. He co-edited “Nordic e-Infrastructure Tomorrow 📡” (Springer, 2025), presenting pioneering insights from NeIC 2024 on federated e-infrastructure across the Nordics 🌍. His book “HiMan 📊” introduces a peer-to-peer grid framework revolutionizing computational collaboration. In “STROLL 🔄”, co-authored with Hein Meling in Grid Computing (Intech), he outlines scalable task deployment models for grid systems. These works reflect Dr. Azab’s commitment to decentralized, secure, and efficient computing environments, offering practical frameworks and visionary architectures for the global scientific and research community 🌐.

💻 Technical Skills

Dr. Abdulrahman Azab Mohamed possesses a robust suite of technical skills, bridging software development 💻, HPC system design ⚙️, and cloud computing ☁️. He is proficient in languages like C++, Java, Python, R, and VB.Net 🧠, with hands-on experience in distributed systems, MPI/OpenMPI, MapReduce, and gRPC 🔗. His expertise spans HPC schedulers (SLURM, PBS, HTCondor), meta-schedulers (UNICORE), and container technologies like Docker 🐳, Kubernetes ☸️, and OpenShift. He manages cloud platforms including OpenStack and Azure 🌐 and excels in data management, semantic interoperability, and parallel code optimization 🧬. With FitSM certifications and strong leadership 🧑‍💼, his contributions are both technical and strategic.

🔬 Research Focus

Dr. Abdulrahman Azab Mohamed’s research is centered on advancing High-Performance Computing (HPC) 💻, Cloud Federation ☁️, and Secure Data Infrastructure 🔐 to enable scalable, efficient, and privacy-aware scientific computing. His expertise spans meta-scheduling algorithms ⏱️, containerized computing with Docker 🐳, and sensitive biomedical data management 🧬. His contributions include variant calling accuracy in genomics 🧫, cybersecurity in multistage cloud attacks 🔒, and peer-to-peer scheduling in grid systems 🌐. Dr. Azab’s interdisciplinary focus integrates AI, distributed systems, and reproducible science 🧠🛰️, empowering data-driven research across domains like bioinformatics, medical diagnostics, and federated cloud platforms 🌍.

📚 Publication Top Notes

A finite state hidden markov model for predicting multistage attacks in cloud systems

Enabling docker containers for high-performance and many-task computing

Serum hepcidin levels in Helicobacter pylori-infected children with iron-deficiency anemia: a case–control study

An adaptive decentralized scheduling mechanism for peer-to-peer desktop grids

Evaluation and benchmarking of singularity mpi containers on eu research e-infrastructure

A pure peer-to-peer desktop grid framework with efficient fault tolerance

Assoc. Prof. Dr Anish Kumar Sharma | Nanomaterials | Best Review Paper Award

Published on 23/06/2025 by Material Scientist

Assoc. Prof. Dr Anish Kumar Sharma | Nanomaterials | Best Review Paper Award

Assoc. Prof. Dr. Anish Kumar Sharma is a seasoned researcher and Principal at the School of Sciences, P P Savani University 🎓. With a Ph.D. in Molecular Biology and Biotechnology 🧬 and minor in Microbiology 🧫, he brings over 9 years of expertise in biotechnology, nanotechnology, and environmental science 🌱. He has authored 45+ publications 📚 and is known for impactful review articles on bioremediation, agrochemical detoxification, and medicinal plant antioxidants 🌿. A qualified CSIR-NET, GATE, and ICAR ARS-NET scholar 🏅, Dr. Sharma bridges innovative science and practical application, making him a standout contributor in sustainable research and education 🔬📖.

Assoc. Prof. Dr Anish Kumar Sharma, School of Sciences PP Savani University, India

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