Mr. Zhaoli Su | Computational Materials Science | Best Researcher Award

Published on 06/08/2025 by Material Scientist

Mr. Zhaoli Su | Computational Materials Science | Best Researcher Award

Mr. Zhaoli Su is a Ph.D. candidate at the Beijing Institute of Technology, specializing in Optoelectronic Information Engineering with a focused application in medical multimodal artificial intelligence. His research bridges deep learning, radiology, and clinical decision support systems to develop intelligent diagnostic tools. With active involvement in medical image-text fusion and language model applications, Mr. Su’s academic pathway reflects innovation in healthcare AI. His early career shows promise in aligning technological advancement with medical utility.

Mr. Zhaoli Su | Beijing Institute of Technology | China

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Education

Mr. Su is currently pursuing a Ph.D. in Optoelectronic Information Engineering. His academic training covers medical imaging, machine learning, and natural language processing, forming a robust foundation for intelligent healthcare systems development. Throughout his doctoral program, he has engaged in cutting-edge research that integrates clinical data with AI algorithms to solve diagnostic challenges in radiology.

Experience

His research experience includes developing advanced diagnostic systems by integrating medical image processing and large language models. He has contributed to projects involving radiology report generation and modeling disease progression using longitudinal imaging data. Through interdisciplinary collaboration, he applies deep learning techniques to improve the accuracy and efficiency of clinical decision-making. His work reflects a strong commitment to advancing intelligent healthcare technologies through AI innovation and applied research in medical informatics.

Contributions

Mr. Zhaoli Su’s research focuses on the advancement of intelligent systems for medical imaging analysis, with particular emphasis on multimodal data fusion, disease diagnosis, and radiology report generation. Utilizing large-scale clinical datasets and cutting-edge artificial intelligence models, he has developed automated tools that improve diagnostic precision and clinical workflow efficiency. His work is characterized by a strong interdisciplinary approach that combines optoelectronic engineering and healthcare technology. By addressing real-world clinical challenges through innovative AI applications, his contributions pave the way for more accurate, accessible, and scalable diagnostic support systems in modern medicine.

Research Focus

Mr. Su’s primary research areas include Medical Multimodal AI, Radiology Report Generation, and Clinical Decision Support Systems. He works on integrating textual and imaging data using deep learning to improve interpretability and accuracy in clinical diagnostics. His emphasis on modeling disease progression and developing tools for real-time clinical use makes his work valuable in advancing AI-powered healthcare solutions.

Publications

MedKit: Multi-level Feature Distillation with Knowledge Injection for Radiology Report Generation
Authors: Zhaoli Su, Hong Song, Yucong Lin, You Wu, Xutao Weng, Zhongxuan Mao, Bowen Liu, Hongxia Yin, Jian Yang
Journal: Expert Systems with Applications

PRTA: Joint Extraction of Medical Nested Entities and Overlapping Relation via Parameter Sharing Progressive Recognition and Targeted Assignment Decoding Scheme
Authors: Bowen Liu, Hong Song, Yucong Lin, Xutao Weng, Zhaoli Su, Xinyan Zhao, Jian Yang
Journal: Computers in Biology and Medicine

Conclusion

Mr. Zhaoli Su demonstrates strong research potential in the intersection of artificial intelligence and medical imaging. His early contributions to radiology report generation and clinical AI systems are promising and well-aligned with healthcare innovation. He is a fitting candidate for emerging research recognition, particularly the Best Research Scholar Award, and with continued scholarly growth, will be well-positioned for future recognition as a leading researcher in the field.

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

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🎓 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.

Mr Sina Soltani | Computational Materials Science | Best Researcher Award

Published on 05/06/2025 by Material Scientist

Mr Sina Soltani | Computational Materials Science | Best Researcher Award

Sina Soltani is a skilled Instrumentation Engineer at Honeywell UOP, Rosemont, IL, USA, with a strong academic foundation in electrical and control engineering 🎓⚙️. He earned his B.S. and M.S. degrees from Shiraz University, Iran, in 2011 and 2013, respectively. His expertise spans estimation theory, nonlinear systems, adaptive control, signal processing, and intelligent data mining techniques 🧠📊🔧. With a deep interest in innovative industrial automation and smart system integration, he combines practical engineering with advanced control strategies to enhance system reliability and efficiency 🛠️💡📈. He continues to contribute to next-generation engineering solutions globally 🌍🔬.

Mr Sina Soltani, Honeywell UOP, United States

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🎓 Education

Sina Soltani earned his M.Sc. in Control and Power Engineering from Shiraz University in 2014 🎓⚡ and a B.Sc. in Electrical and Computer Engineering from Shiraz University of Technology in 2012 💡🔌. He also holds a High School Diploma from Naserian High School, completed in 2005 🏫📘. His academic path is further strengthened by a range of professional certifications in PLC programming (TIA Portal, S7-400H), industrial networks (Profibus, Modbus, Ethernet), and electrical safety (ATEX, ISO 9001) 🧠📈⚙️. This blend of formal education and applied training equips him with strong expertise in automation and instrumentation engineering 🔍🔧.

📏 Experience

Sina Soltani has over a decade of experience in instrumentation, automation, and control engineering ⚙️🔧. At Honeywell UOP 🇺🇸, he leads instrumentation system design and integration for industrial applications. Previously, he served as a senior engineer at Neyriz Ghadir Steel Complex 🇮🇷, focusing on fire & gas systems, PLC/DCS programming, and calibration 🎛️💡. At Piramoon Pardazesh Qeshm, he specialized in radioactive measurement systems and technical documentation 📊📐. He also held roles as a chief electrical engineer at PetroAzma and as a university lecturer 📚🧠. His expertise spans sensors, analyzers, motors, safety systems, and advanced process control 🌍🔍.

🛠️ Technical Skills

Sina Soltani possesses a robust technical skill set in Instrumentation Engineering, Control Systems, Automation, and Calibration 🧪⚙️📏. He is proficient in configuring and maintaining advanced industrial instruments, including flowmeters, analyzers, and control valves 🔄🔍. With deep knowledge of PLC/DCS systems, loop tuning, and process optimization, he excels at designing and integrating control strategies for complex operations 💻🔧. His expertise includes working with safety standards (NEC, IEC) and executing diagnostics and root-cause analysis for system failures 🚨🛠️. These capabilities make him a valuable asset in driving innovation and operational excellence across modern industrial environments 🌐🏭.

🏆 Achievement

On May 22, 2024, Sina Soltani was honored with the Top Researcher Award at Neyriz Ghadir Steel Complex, Shiraz, Iran, for his exceptional contributions to Instrumentation and Automation Engineering 🛠️📡. His innovative work in process control systems, real-time signal integration, calibration technologies, and automation reliability set a benchmark in industrial engineering ⚙️📊. This distinction reflects his impact on system accuracy, safety enhancements, and advanced control methodologies 📈🔍. Recognized for combining deep technical expertise with practical problem-solving, he continues to lead advancements in instrumentation for critical infrastructure and manufacturing environments 🌍🔬.

🔬 Research Focus

Sina Soltani’s research is centered on advanced control systems, signal processing, and intelligent estimation methods for industrial applications 🧠📉⚙️. His recent work includes the application of autoregressive Kalman filters for gamma level measurement and well-log data estimation 🔬📡, as well as the development of fuzzy logic and iterative learning-based control algorithms for instrument air units and harmonic mitigation ⚡🔁. He also explores high-efficiency modeling of electrical machines using subdomain techniques and smart controllers for distributed energy systems ⚙️🔋🌍. His interdisciplinary focus bridges control theory, automation, and real-time optimization in complex engineering systems 🛠️📊🤖.

📚 Publications

Advances in Gamma Level Measurement by Optimal Autoregressive Kalman Filter

Author: S. Soltani
Conference: 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing

Designing and Implementing an Algorithm Based on an Autoregressive Kalman Filter to Estimate Well-Log Data

Author: S. Soltani
Conference: 2023 9th International Conference on Control, Instrumentation and Automation (ICCIA)

Introducing an Improved Control Method for Instrument Air Unit Based on Fuzzy and Iterative Learning Control

Author: S. Soltani
Journal: ISA Transactions (2025)

An Analytic 2D Subdomain Model for Slotless Electrical Machines with Internal Arc/Cubic Shape Permanent Magnets

Authors: M. Pourahmadi-Nakhli, M.J.K. SeyedHassanDaryanavard, S. Soltani
Journal: Intelligence 1(1), 13–23 (2025)

Fast Subdomain Approximation of Brushless Electrical Machines with Spoke-Hub Permanent Magnets

Authors: M. Pourahmadi-Nakhli, S.H. Daryanavard, M. Jokar-Kohanjani, S. Soltani
Conference: 2024 32nd International Conference on Electrical Engineering (ICEE)

A Novel Fuzzy Type-2 PI Repetitive Control Methodology for Harmonic Elimination in Distributed Generation Sources

Authors: S. Soltani, M. Rayat
Conference: 2024 9th International Conference on Technology and Energy Management (ICTEM)

Prof Targo Kalamees | Material Degradation and Corrosion | Outstanding Scientist Award

Published on 03/06/2025 by Material Scientist

Prof Targo Kalamees | Material Degradation and Corrosion | Outstanding Scientist Award

Prof. Targo Kalamees is an internationally recognized expert in building physics, with more than two decades of experience in research, teaching, and scientific leadership. He currently serves as a tenured full professor at the School of Engineering, Department of Civil Engineering and Architecture at Tallinn University of Technology. His work focuses on the hygrothermal behavior of buildings, energy efficiency, renovation strategies, and climate resilience in construction. Through a career marked by interdisciplinary research and global collaboration, he has made transformative contributions to sustainable building technologies and design methodologies tailored for cold and variable climates.

Prof Targo Kalamees, Tallinn University of Technology, Estonia

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🎓 Education

Prof. Targo Kalamees has a robust academic foundation in civil engineering and building physics. He earned his Doctoral Degree in 2006 from Tallinn University of Technology, focusing on hygrothermal criteria for the design and simulation of buildings 🏗️📊. Prior to this, he completed a Master’s Degree in 1999 at the same university, specializing in the hygrothermal performance of externally insulated walls 🧱💧. His academic journey began with a MSc-equivalent degree in Civil Engineering (1996) and an earlier diploma in geodesy from TTK University (1991) 📐🌍. This progressive education laid the foundation for his scientific excellence in sustainable construction and building physics 🏠📚.

🏛️ Experience

Prof. Targo Kalamees has extensive academic and research experience in building physics and energy efficiency. Since 2018, he has been a Tenured Full Professor at Tallinn University of Technology, where he also previously served as Head of the Chair of Building Physics and Energy Efficiency. He has conducted postdoctoral research at Helsinki University of Technology and was a Visiting Research Fellow at Lund University. His roles have centered on climate-resilient buildings, moisture-safe construction, and sustainable renovation strategies, combining leadership, scientific excellence, and international collaboration. 🧱🌡️🏛️🔬🌐

🎓 Supervisory Excellence

Prof. Targo Kalamees is a highly accomplished doctoral supervisor, having successfully guided over ten PhD candidates in building physics and sustainable construction 🏗️📚. His students’ research spans key areas such as energy renovation of apartment buildings, air leakage and thermal bridge modeling, hygrothermal analysis of wall systems, and renovation strategies for wooden structures 🌬️🏡🌡️. His guidance has shaped groundbreaking work on nearly zero-energy buildings (nZEB), prefabricated insulation systems, and durable retrofit technologies 🔋🧱🔧. With deep expertise and visionary mentorship, he continues to empower future researchers to tackle climate-responsive and energy-efficient building challenges 🧑‍🏫🌍🌱.

🔬 Research Focus

Prof. Targo Kalamees focuses on advancing sustainable and resilient building technologies through research in building physics, particularly hygrothermal performance of envelope structures 🧱💧🌡️. His work integrates modelling, lab experiments, and field studies to understand and mitigate heat loss, air leakage, and thermal bridging in buildings 🧪🔍🏠. He is a pioneer in climate-resilient renovation, promoting indoor comfort, energy efficiency, and the circular economy in construction ♻️🌍. His goal is to develop future-proof buildings that withstand evolving climate challenges while supporting low-carbon lifestyles 🌦️🔋. His research bridges engineering, environmental sustainability, and applied building science 🛠️📊.

Publications 📚

Indoor Climate Loads for Dwellings in Different Cold Climates to Assess Hygrothermal Performance of Building Envelopes
Authors: Ilomets, S.; Kalamees, T.; Tariku, F.
Journal: Canadian Journal of Civil Engineering, 2019

Influence of Interior Layer Properties to Moisture Dry-Out of CLT Walls
Authors: Kukk, V.; Külaots, A.; Kers, J.; Kalamees, T.
Journal: Canadian Journal of Civil Engineering, 2019

Influence of Window Details on the Energy Performance of an nZEB
Authors: Kalbe, K.; Kalamees, T.
Journal: Journal of Sustainable Architecture and Civil Engineering, 2019

Renovation of Apartment Buildings with Prefabricated Modular Panels
Authors: Kuusk, K.; Pihelo, P.; Kalamees, T.
Journal: E3S Web of Conferences, 2019

Summer Thermal Comfort in New and Old Apartment Buildings
Authors: Maivel, M.; Kurnitski, J.; Kalamees, T.
Journal: Windsor Conference Proceedings, 2019

The Effects of Production Technologies on the Air Permeability and Crack Development of Cross-Laminated Timber
Authors: Kukk, V.; Kalamees, T.; Kers, J.
Journal: Journal of Building Physics, 2019

Indoor Hygrothermal Loads for the Deterministic and Stochastic Design of the Building Envelope for Dwellings in Cold Climates
Authors: Ilomets, S.; Kalamees, T.; Vinha, J.
Journal: Journal of Building Physics, 2018

Internal Moisture Excess of Residential Buildings in Finland
Authors: Vinha, J.; Salminen, M.; Salminen, K.; Kalamees, T.; Kurnitski, J.; Kiviste, M.
Journal: Journal of Building Physics, 2018

Mr Yonggang Zuo | Metallurgical solid waste resources | Best Researcher Award

Published on 08/02/2025 by Material Scientist

Mr Yonggang Zuo | Metallurgical solid waste resources | Best Researcher Award

Mr. Yonggang Zuo, an Associate Professor at Kunming University of Science and Technology, earned his Ph.D. (2017) from the University of Chinese Academy of Sciences 🎓. He specializes in low-dimensional materials 🧪, unconventional metallurgy ⚙️, and resource recycling 🔄. With 30+ papers in Science, Nature Nanotechnology, and Nature Communications 📖, and 9 patents 🏅, his groundbreaking research is widely recognized. In 2022, he was honored with the “Xingdian Talent Support Plan” award 🌟. His innovative contributions make him a strong candidate for the Best Researcher Award 🏅.

Mr Yonggang Zuo, Kunming University of Science and Technology, China

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🎓 Education

Yonggang Zuo obtained his Ph.D. from the University of Chinese Academy of Sciences in 2017, specializing in materials science and optoelectronic technology. After completing his doctorate, he pursued postdoctoral research (2017–2021) at the Institute of Physics, Chinese Academy of Sciences/Peking University, deepening his expertise in low-dimensional nanomaterials and unconventional metallurgy. His strong academic foundation has contributed significantly to his innovative research and technological advancements.

👨‍🏫 Experience

Mr. Zuo has held key academic positions:

Associate Professor, School of Metallurgy and Energy Engineering, Kunming University of Science and Technology (2023-Present).
Lecturer, Kunming University of Science and Technology (2021-2023).
Postdoctoral Researcher, Institute of Physics, Chinese Academy of Sciences/Peking University (2017-2021).

🏅 Awards

Mr. Zuo has received multiple prestigious awards, including:
“Xingdian Talent Support Plan” – Young Talent Award 🌟 (2022).
Outstanding Individual in Graduate Academic and Technology Festival 🏆.
“Liqin Teaching Award” – Student Work Award 🎖️.
Outstanding Communist Party Member – School of Metallurgy and Energy Engineering 🎓.
Outstanding Postdoctoral Researcher – Institute of Physics, Chinese Academy of Sciences 🏅.

Research Focus 🔬

Dr. Y. Zuo’s research focuses on advanced materials science, nanotechnology, and chemical processing. His expertise spans nano-crystalline diamond films, lithium extraction, metal dissolution, and water purification technologies. He has contributed significantly to microwave-enhanced sulfate roasting for lithium recovery, ultrasonic-assisted metal dissolution, and covalent organic frameworks for heavy metal removal. His work integrates ultrasound, plasma technology, and chemical vapor deposition for improved material synthesis and environmental applications. By optimizing extraction and purification techniques, his research contributes to clean energy production, sustainable materials, and industrial process efficiency. 🌱🔬⚡🏭

📜 Patents & Innovations

Mr. Zuo holds five key national invention patents, showcasing his technological advancements:
🔹 Novel Method for Localized Growth of Transition Metal Sulfides Using Chalcogenide Compounds.
🔹 Rapid Fabrication of Transition Metal Chalcogenide Composite Optical Fiber Materials.
🔹 Preparation Method for Transition Metal Chalcogenide Composite Optical Fibers.
🔹 Microwave Drying Equipment and Application for Titanium Concentrate.
🔹 Dual-Frequency Inductively Coupled RF Plasma Jet Deposition of Diamond.

Publications 📖

📌 Nano-crystalline Diamond Films Grown by Radio-Frequency Inductively Coupled Plasma Jet Enhanced Chemical Vapor Deposition
👨‍🔬 Authors: YC Shi, JJ Li, H Liu, YG Zuo, Y Bai, ZF Sun, DL Ma, GC Chen
📖 Journal: Chinese Physics Letters 🏅
📅 Year: 2015

📌 Microwave-Enhanced Sulfate Roasting for Lithium Extraction from Lepidolite: A Comprehensive Study
👨‍🔬 Authors: M Jiang, J Liu, L Fu, Y Zuo, G Zhang, S Wang, L Zhang
📖 Journal: Journal of Cleaner Production 🌱
📅 Year: 2024

📌 Enhancement of Copper Metal Dissolution in Sulfuric Acid Solution with Oxygen and Ultrasound
👨‍🔬 Authors: G Sun, M Jiang, S Wang, L Fu, Y Zuo, G Zhang, Z Hu, L Zhang
📖 Journal: Journal of Materials Research and Technology ⚙️
📅 Year: 2023

📌 Effect of Ultrasonic-Induced Selenium Crystallization Behavior During Selenium Reduction
👨‍🔬 Authors: Z Yang, Y Zuo, L Dai, L Zhang, Y Yu, L Zhou
📖 Journal: Ultrasonics Sonochemistry 🔊
📅 Year: 2023

📌 Efficient Capture of Lead Ions from Aqueous Solution by the Functional Covalent Organic Framework Materials
👨‍🔬 Authors: D Xiang, Y Chen, M Zhu, S Wang, R Zhu, J Luo, Y Wu, L Fu, Y Zuo
📖 Journal: Journal of Molecular Structure 💧
📅 Year: 2024

Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

Published on 29/01/202529/01/2025 by Material Scientist

Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

🌾 Dr. Xanthoula Eirini Pantazi is an Assistant Professor at Aristotle University of Thessaloniki, specializing in precision agriculture, artificial intelligence, and biosystems engineering. 🎓 She holds a Ph.D. in Biosystems Engineering and has contributed extensively to AI-driven agricultural solutions, machine learning, and sensor fusion. 🚀 Dr. Pantazi has been involved in 20+ EU-funded projects, including Horizon 2020 initiatives. Her expertise spans decision support systems, UAV applications, and crop monitoring. 🌱 She has received prestigious scholarships and keynote speaker invitations at international conferences. 🏆 Her research continues to advance smart farming and sustainable agriculture. 🌍📡

Assist. Prof. Dr Xanthoula Eirini Pantazi Aristotle University of Thessaloniki, School of Agriculture Greece

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Research Expertise 🌾

Assist. Prof. Dr. Xanthoula Eirini Pantazi is a distinguished researcher in biosystems engineering, holding a Ph.D. in Biosystems Engineering from Aristotle University of Thessaloniki, Greece. 🏛️ Her expertise lies in bio-inspired computational systems, data mining, and artificial intelligence applications in agriculture. 🌱📊 Over the years, she has contributed to 20+ EU-funded research projects, serving as a coordinator and work package leader in multiple Horizon 2020, PRIMA, and ERANET projects. 🚀 Dr. Pantazi has also authored 26 scientific papers, 9 book chapters, and the monograph “Intelligent Data Mining and Fusion Systems in Agriculture.” 📖

Experience 🚀

Assist. Prof. Dr. Xanthoula Eirini Pantazi has an extensive academic and research background in precision agriculture and bio-systems engineering. Since 2020, she has been an Assistant Professor at the Faculty of Agriculture, Forestry, and Natural Environment at Aristotle University of Thessaloniki, Greece. 🏛️ From 2016 to 2019, she worked as an Adjunct Lecturer, teaching undergraduate courses in agricultural engineering. 📚 Additionally, she served as a Research Engineer and Technical Manager at CERTH (2016-2020) and contributed to major EU-funded research projects as a Research Engineer at Aristotle University (2013-2020). 🔬🌾

Scholarly Contributions ✍️🔬

Assist. Prof. Dr. Xanthoula Eirini Pantazi has significantly contributed to the field of precision agriculture and artificial intelligence through her numerous book chapters. Her work includes data fusion for soil and crop sensing, leaf disease recognition using machine learning, and hyperspectral sensing for weed and crop differentiation. 🌾📡 She has co-authored chapters in Springer and Wageningen Academic Publishers, focusing on AI applications in farming, sustainable agriculture, and bioinformatics. Her expertise in remote sensing, spectral data analysis, and machine learning models has helped develop innovative solutions for smart farming and soil health monitoring. 🚜🤖

📡 Scientific Research 🔬🌾

Assist. Prof. Dr. Xanthoula Eirini Pantazi has led and contributed to numerous EU-funded and international research projects in precision agriculture, AI-driven crop monitoring, and smart farming solutions. As a principal investigator and work package leader, she has developed machine learning models for disease detection, decision support systems (DSS) for sustainable farming, and sensor fusion techniques for soil and crop health assessment. 🚀📊 Her projects include Horizon 2020 initiatives (AfriCultuReS, SiEUSOIL, ATLAS, STARGATE), ICT-AGRI ERANET, and PRIMA projects. Her work integrates AI, robotics, and IoT-based solutions, advancing climate-resilient and precision-driven agricultural systems. 🌍🤖

Research Focus 🔍✨

Assist. Prof. Dr. Xanthoula Eirini Pantazi’s research focuses on applying machine learning, advanced sensing, and data fusion in agriculture 🌾💻. Key areas include crop yield prediction using machine learning and sensing techniques 📊🌱, disease detection in plants through image analysis and spectroscopy 🦠🔬, and weed recognition using hyperspectral sensing and UAV imagery 🚁🌾. She also works on soil health monitoring and water stress detection using multisensor fusion 💧🌍. Dr. Pantazi’s contributions aim to optimize agricultural practices through innovative technologies, improving sustainability and precision in farming 🌿🚜.

Publications 📚

Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning
Authors: Morellos, A., Pantazi, X.E., Almoujahed, M.B., Šarauskis, E., Mouazen, A.M.
Journal: Computers and Electronics in Agriculture (2025)
🌾💻

Non-Destructive Quality Estimation Using a Machine Learning-Based Spectroscopic Approach in Kiwifruits
Authors: Tziotzios, G., Pantazi, X.E., Paraskevas, C., Michailidis, M., Molassiotis, A.
Journal: Horticulturae (2024)
🥝📊

A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Authors: Dolaptsis, K., Pantazi, X.E., Paraskevas, C., Bustan, D., Mouazen, A.M.
Journal: Agriculture (2024)
🌾🤖

Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
Authors: Navrozidis, I., Pantazi, X.E., Lagopodi, A., Bochtis, D., Alexandridis, T.K.
Journal: Remote Sensing (2023)
🌿💻

Early Detection of Cavitation in Centrifugal Pumps Using Low-Cost Vibration and Sound Sensors
Authors: Karagiovanidis, M., Pantazi, X.E., Papamichail, D., Fragos, V.
Journal: Agriculture (2023)
⚙️🔊

Mr Zhaoheng Ling | Materials Science | Best Researcher Award

Published on 27/12/2024 by Material Scientist

Mr Zhaoheng Ling | Materials Science | Best Researcher Award

Mr Zhaoheng Ling, King Abdullah University of Science and Technology, Saudi Arabia

Mr. Zhaoheng Ling, a Ph.D. candidate at King Abdullah University of Science and Technology, specializes in nanomaterials and solar cell technologies. His research has advanced organic photovoltaics (OPVs) through bulk heterojunction modification, interface engineering, and molecular doping, achieving breakthroughs like 20.5% efficiency in OPVs. With publications in high-impact journals such as ACS Energy Letters and Advanced Materials, Mr. Ling has made significant strides in sustainable energy solutions. He actively engages in global conferences and workshops, showcasing his expertise in molecular doping, crystal growth, and materials characterization. His work is shaping the future of renewable energy. 🧪☀️📚

Publication Profile

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Educational Qualifications 🎓

Mr. Zhaoheng Ling is pursuing a Ph.D. in Material Science and Engineering at King Abdullah University of Science and Technology (2021–present), achieving a GPA of 3.75/4. His research focuses on advanced nanomaterials and renewable energy solutions. He earned his M.S. in Materials Science from the University of Science and Technology of China (2014–2017), where he specialized in nanoscience and graduated with a GPA of 80.5/100. Mr. Ling holds a B.S. in Materials Science from HeFei University (2009–2013), graduating with a GPA of 79.5/100. His strong academic background underpins his innovative contributions to materials science. 🎓🔬🌍

Experience and Contributions 💼

Mr. Zhaoheng Ling possesses extensive expertise in molecular doping of organic semiconductors for photovoltaic applications, enhancing solar cell efficiency and stability. He is skilled in advanced experimental techniques such as J-V measurement, external quantum efficiency (EQE), UV-Vis transmission, photoluminescence, SEM, AFM, XRD, and atom probe tomography. His proficiency extends to crystal growth and thin-film deposition using molecular-beam epitaxy (MBE), thermal evaporation, and e-beam evaporation. Additionally, he is adept at data modeling and analysis with tools like Microsoft Office and ORIGIN. His teaching experience includes courses on the Physics of Beam-Solid Interactions and Organic Semiconductors and Applications at GEC Academy. 🧪🔬📊

Conference and Workshop

Mr. Zhaoheng Ling actively participates in international conferences and workshops to share his research and advance the field of photovoltaics. He delivered an oral presentation at the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics, and Optoelectronics (2024, Japan) and presented posters at the Perovskite and Organic Photovoltaics Conference (2024, China) and the International Conference on Hybrid and Organic Photovoltaics (2023, UK). He has also attended notable workshops, including Printable Thin-Film Photovoltaics & Applications (2024, Germany), Photovoltaic Innovation for Saudi Vision 2030 (2024, KAUST), and Sustainable Energy Materials for a Low Carbon Future (2023, KAUST). 🌍🔬📊.

Research Focus Area 🌱🧬

Mr. Zhaoheng Ling’s research primarily centers on organic photovoltaics (OPVs), perovskite solar cells, and nanomaterials for renewable energy applications. His work involves enhancing solar cell efficiency through innovative approaches like bulk heterojunction modification, molecular doping, and interlayer engineering. Notable achievements include achieving over 20% efficiency in OPVs and developing tandem photovoltaic systems with 23.6% efficiency. His studies explore the stability, passivation, and optoelectronic properties of materials, addressing critical challenges in sustainable energy technologies. With high-impact publications in journals like ACS Energy Letters and Advanced Materials, his contributions are shaping the future of clean energy. 🧪☀️📚

Awards 🏆

Mr. Zhaoheng Ling was honored with the prestigious Academic Scholarship from the Nano Science and Technology Institute at the University of Science and Technology of China during 2014–2015. This recognition highlights his academic excellence and dedication to advancing the field of nanoscience. The award underscores his ability to excel in rigorous scientific research and his commitment to contributing innovative solutions to materials science and nanotechnology. This achievement reflects Mr. Ling’s determination to push the boundaries of scientific knowledge. 🎓🏆🔬