Dr. Jingna Liu | Thermodynamics of Materials | Best Researcher Award

Dr. Jingna Liu | Thermodynamics of Materials | Best Researcher Award

Dr. Jingna Liu is an Assistant Professor at Sun Yat-sen University, with a doctoral degree in Soil Science from the University of Copenhagen. Her academic foundation bridges advanced environmental science and agricultural sustainability. After completing her Ph.D., she began her research and teaching career in China, focusing on soil fertility and agricultural waste valorization. Her professional trajectory demonstrates a commitment to improving nutrient management and promoting sustainable agriculture through interdisciplinary and applied research.

Dr. Jingna Liu | Sun Yat-Sen University | China

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Education

Dr. Liu earned her Ph.D. in Soil Science from a leading European institution, where she specialized in nutrient cycling and soil health. Her education integrated core aspects of environmental sustainability, microbiology, and agricultural chemistry. The combination of European academic standards and applied agricultural focus equipped her with both theoretical insight and practical skill, enabling her to address complex challenges in agricultural waste management and soil resource efficiency.

Experience

Dr. Liu has developed her academic career as an Assistant Professor at Sun Yat-sen University. She has completed and led multiple research projects related to agricultural waste recycling and soil fertility enhancement. Her experience includes both academic research and consultancy collaborations with industry stakeholders, contributing to real-world applications of her findings. With an active presence in both research and academic mentoring, she plays a significant role in advancing sustainable agricultural practices.

Contribution

Dr. Jingna Liu’s research has made pivotal contributions to sustainable agriculture by optimizing the thermal drying process of solid digestate. Her work uncovered the fundamental mechanisms of nitrogen transformation and demonstrated that acidification prior to drying significantly reduces ammonia (NH₃) volatilization while enhancing plant-available nitrogen. This innovation boosts the fertilizer value of dried digestate, enabling its conversion into a nutrient-rich organic fertilizer. By improving nutrient retention and reducing dependency on synthetic fertilizers, her findings support circular agriculture, waste valorization, and improved environmental stewardship.

Research Focus 

Dr. Liu’s research focuses on the recycling and utilization of agricultural solid waste, soil fertility enhancement, and nitrogen use efficiency. She investigates thermal drying and acidification processes to optimize nitrogen retention and reduce environmental emissions. Her work emphasizes the transformation of organic waste into effective fertilizers, offering solutions for improving soil health and reducing dependence on chemical inputs. Her studies provide scientific insights that support practical applications in sustainable farming systems.

Publications

Effect of Acidification on Nitrogen Transformation of Solid Digestate During Thermal Drying
Authors: Weimin Wu, Jingna Liu
Journal: Published July 2025

Acidification Prior to Drying of Digestate Solids Affects Nutrient Uptake and Fertilizer Value When Applied to Maize
Authors: Jingna Liu, Dorette Sophie Müller-Stöver, Lars Stoumann Jensen
Journal: Published September 2024

Comparison of Alum and Sulfuric Acid to Retain and Increase the Ammonium Content of Digestate Solids During Thermal Drying
Authors: Jingna Liu, Lars Stoumann Jensen, Dorette Müller-Stöver
Journal: Published June 2021

Acidified Animal Manure Products Combined with a Nitrification Inhibitor Can Serve as a Starter Fertilizer for Maize
Authors: Iria Regueiro, Peter Siebert, Jingna Liu, Lars Stoumann Jensen
Journal: Published December 2020

Methane Emission and Soil Microbial Communities in Early Rice Paddy as Influenced by Urea-N Fertilization
Authors: Jingna Liu, Huadong Zang, Heshui Xu, Zhaohai Zeng
Journal: Published December 2019

Increased Retention of Available Nitrogen During Thermal Drying of Solids of Digested Sewage Sludge and Manure by Acid and Zeolite Addition
Authors: Jingna Liu, Andreas de Neergaard, Lars Stoumann Jensen
Journal: Published September 2019

Conclusion

Dr. Jingna Liu is a promising and impactful researcher contributing to the advancement of sustainable agriculture through innovative research on nutrient recycling and soil fertility. Her scientific insights into nitrogen retention and emissions reduction place her as a suitable candidate for the Best Researcher Award. With expanded global engagement and broader application of her findings, she is well-positioned to become a leading figure in environmental soil science and sustainable waste management.

Dr. Swami Nath Maurya | Thermodynamics of Materials | Best Researcher Award

Dr. Swami Nath Maurya | Thermodynamics of Materials | Best Researcher Award

Dr. Swami Nath Maurya is a Postdoctoral Researcher at the National Chin-Yi University of Technology (NCUT) in Taiwan, specializing in thermal management and precision manufacturing. He holds a Ph.D. in Precision Manufacturing, a Master’s in Green Energy Technology, and a B.Tech. in Instrumentation and Control Engineering. With 13 SCIE-indexed journal publications and an h-index of 5, Dr. Maurya merges experimental research with AI modeling to optimize energy and material efficiency. His multidisciplinary expertise spans semiconductors, machine tools, and advanced thermal systems.

Dr. Swami Nath Maurya | National Chin-Yi University of Technology | Taiwan

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Education 

Dr. Maurya’s academic journey is marked by a solid foundation in engineering and sustainability. He earned his B.Tech. in Instrumentation and Control Engineering, followed by a Master’s in Green Energy Technology, which underpins his commitment to sustainable development. He then pursued a Ph.D. in Precision Manufacturing, focusing on intelligent process optimization. This academic progression reflects his strong theoretical understanding and applied engineering acumen in the areas of energy efficiency, thermal modeling, and manufacturing systems.

Experience

Dr. Maurya has worked extensively as a postdoctoral researcher, contributing to thermal management in machine tool systems, semiconductor crystal growth (Czochralski process), and graphene-enhanced membranes. He has authored studies on AI-driven optimization, multiobjective cooling, and microfluidic heat sink design. His work is known for solving practical engineering problems with academic rigor, and he collaborates across Taiwan and India. Despite having no current patents or editorial roles, his contributions stand out for their technical depth and industrial relevance.

Contributions 

Dr. Swami Nath Maurya has made significant contributions to thermal management, semiconductor process optimization, and sustainable material engineering. His research includes the Czochralski crystal growth process, graphene-based membranes, and hybrid cooling systems for enhanced energy efficiency and system reliability. His 13 SCIE-indexed publications (h-index: 5) reflect innovation at the intersection of AI, thermal modeling, and advanced manufacturing. From machine tool spindle cooling to microfluidic heat sinks, his work promotes intelligent, eco-conscious engineering practices for future-ready industries.

Research Focus 

Dr. Maurya’s research centers on thermal deformation modeling, energy-efficient systems, and AI-enhanced process optimization. His work targets complex engineering challenges in machine tools, semiconductor manufacturing, and sustainable material processing. He employs finite element methods, Monte Carlo simulations, and neuro-fuzzy inference systems to optimize system efficiency. By bridging artificial intelligence, green energy, and manufacturing, he is contributing to next-generation, eco-conscious industrial solutions.

Publications

Performance and Economic Enhancement of a Dewaxing Casting Process Using a Heat Pump Drying System
Authors: Win-Jet Luo, Amir Reza Ansari Dezfoli, Swami Nath Maurya, Bivas Panigrahi, Pei-Tang Wang
Journal: Case Studies in Thermal Engineering (2025)

Performance Analysis of Energy Recovery Membrane Coated with Graphene Oxide
Authors: Win Jet Luo, Prateek Negi, Swami Nath Maurya, Bivas Panigrahi, Janet Syah Putra Telaumbanua
Journal: Materials Research Express (2025)

Efficient Heat Dissipation with Hybrid Composite-Based Microfluidic Heat Sinks in Flexible Electronics
Authors: Pramod Vishwakarma, Swami Nath Maurya, Win Jet Luo, Bivas Panigrahi
Journal: Journal of Micromechanics and Microengineering (2025)

Optimization of Machine Tool Spindle Cooling for Enhancement of Thermal Prediction Accuracy and Energy Efficiency
Authors: Cheng-Kai Huang, Tsung-Chia Chen, Kun-Ying Li, Yuan-Hong Tsai, Swami Nath Maurya
Journal: International Journal of Precision Engineering and Manufacturing-Green Technology (2025)

Data-Driven Approach for Optimizing the Czochralski Process and Predictive Modeling: A Finite Element and Machine Learning Analysis
Authors: Swami Nath Maurya, Amir Reza Ansari Dezfoli, Li-Shang Lin
Journal: The International Journal of Advanced Manufacturing Technology (2025)

Process Parameter Optimization in Czochralski Growth of Silicon Ingots: A Monte Carlo-Finite Element Coupled Model
Authors: Amir Reza Ansari Dezfoli, Swami Nath Maurya, Zary Adabavazeh, Yi-Jen Huang
Journal: The International Journal of Advanced Manufacturing Technology (2025)

Impact of Top Cooling on Defect Suppression in Large-Scale Silicon Ingot Manufacturing
Authors: Yi-Jen Huang, Swami Nath Maurya, Amir Reza Ansari Dezfoli
Journal: The International Journal of Advanced Manufacturing Technology (2025)

Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

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

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🎓 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 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

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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 📰📐