Rongliang Jia – Biological soil crusts – Best Researcher Award

Rongliang Jia - Biological soil crusts - Best Researcher Award

Northwest Institute of Eco-Environment and Resources - China

AUTHOR PROFILE

SCOPUS

🌵 CURRENT POSITION

Rongliang Jia, born in 1980, is the Associate Station Director, Professor, and Doctoral Supervisor at the Ningxia Shapotou Desert Ecosystem National Field Scientific Observation and Research Station. He is also part of the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. His work is central to the study and protection of desert ecosystems, where he leads critical research initiatives.

🔬 RESEARCH FOCUS

Dr. Jia’s research is deeply rooted in the natural ecological systems of deserts and sandy areas. He specializes in the physiological and ecological theories and application technologies related to plant resistance in archaeological sites and mining areas. His recent work has concentrated on the composition, structure, and functional evolution of biological soil crusts, seeking to unravel their driving mechanisms and address key challenges in ecological protection and sustainable development.

🌱 ECOLOGICAL INNOVATION

A key member of the "Ecological Restoration and Reconstruction in Desert Areas" innovation team, Dr. Jia plays a vital role in advancing desert ecology. His innovative approaches to using biological soil crusts for environmental protection have positioned him as a leader in this field, contributing significantly to both theoretical advancements and practical applications.

📚 RESEARCH ACHIEVEMENTS

Dr. Jia has an impressive portfolio of research accomplishments. He has led 17 major projects, including those funded by the National Natural Science Foundation and the National Key Basic Research Program. With over 80 published papers, including 50 in SCI journals, his contributions have been widely recognized. He has also been granted 7 national invention patents, underlining his impact on the field of desert ecology.

🌍 ACADEMIC COLLABORATIONS

Dr. Jia’s expertise has led to numerous invitations for academic exchanges and collaborations at prestigious institutions around the world, including the University of Haifa, Tel Aviv University, and the University of Manchester. His international collaborations have enriched his research and expanded the global understanding of desert ecosystems.

🏆 HONORS AND AWARDS

Throughout his career, Dr. Jia has received numerous accolades, including the Chinese Academy of Sciences "ZhuYuehua Outstanding Doctoral Student Award" and the "Western Youth Scholar - A Class" support. His work has also been recognized with several regional awards, such as the first prize for scientific and technological progress by the Ningxia Hui Autonomous Region in 2018 and the "Longyuan Talent" recognition in Gansu Province in 2020.

🎓 MENTORSHIP AND LEADERSHIP

In addition to his research, Dr. Jia is a dedicated mentor and leader. He has been recognized as an "Excellent Graduate Student Supervisor" and an "Excellent Communist Party Member" by the Northwest Institute of Eco-Environment and Resources. His commitment to guiding the next generation of scientists ensures the continued growth and development of the field of desert ecology.

Rihab Mâaloul Abid – Computer science – Best Researcher Award

Rihab Mâaloul Abid - Computer science - Best Researcher Award

isima - Tunisia

AUTHOR PROFILE

SCOPUS

🔬 CURRENT POSITION

Rihab Mâaloul Abid is a prominent member of the LT2S (Laboratoire des Technologies des Systèmes Smart) at the Centre de Recherche en Numérique de Sfax, Technopôle. She also serves as a Maître Assistant at the Institut Supérieur d'Informatique et de Multimédia de Mahdia (ISIMa), where she contributes to both teaching and research in the field of computer science and multimedia.

🎓 ACADEMIC BACKGROUND

Dr. Mâaloul Abid earned her Doctorate in Engineering of Computer Systems in April 2018 from ENIS, Université de Sfax, Tunisia. Her doctoral research focused on energy-aware routing in carrier-grade Ethernet networks, under the supervision of Prof. Lamia Chaari Fourati at LT2S. She also holds a Master’s degree in Computer Science and Multimedia from the Institut Supérieur d'Informatique et de Multimédia de Sfax, where she conducted in-depth analysis of scheduling mechanisms for WiMAX networks, receiving a "Très bien" distinction.

💻 RESEARCH INTERESTS

Dr. Mâaloul Abid's research is primarily focused on innovative networking technologies and energy efficiency in communication systems. Her work on energy-aware routing and scheduling mechanisms for networks, including WiMAX, reflects her dedication to advancing the efficiency and sustainability of digital infrastructures. Her academic journey began with a Bachelor’s degree in Computer Science and Multimedia, where her project on automatic brain tissue segmentation for tumor detection laid the groundwork for her future research endeavors.

📚 TEACHING AND PEDAGOGICAL ACTIVITIES

As an educator, Dr. Mâaloul Abid has been actively involved in teaching a variety of courses at ISIMS. During the 2021-2022 academic year, she taught courses on network services, operational research, and programming workshops to students pursuing degrees in computer science. Her commitment to education extends beyond traditional lectures, as she is deeply involved in developing practical skills in her students, ensuring they are well-prepared for careers in technology and multimedia.

🌍 CONTRIBUTION TO NETWORK SERVICES

Throughout her career, Dr. Mâaloul Abid has made significant contributions to the study and development of network services. Her expertise in foundational and advanced network topics has been shared with her students, helping to shape the next generation of computer scientists. Her work in this area is recognized for its practical applications and relevance to the evolving needs of digital communication systems.

🔧 INNOVATION IN COMPUTER SCIENCE

Innovation is at the heart of Dr. Mâaloul Abid’s research. Her focus on energy-aware technologies and system optimization highlights her commitment to creating more efficient and sustainable computing environments. Her ongoing research in smart systems and her role in the LT2S laboratory position her as a key player in the field of computer science innovation.

🏅 ACADEMIC EXCELLENCE

Throughout her academic career, Dr. Mâaloul Abid has consistently demonstrated excellence, receiving honors and distinctions for her work. From her undergraduate studies to her doctoral research, her dedication to her field has been evident, earning her respect and recognition within the academic community.

Pearce – Space Situational Awareness – Best Researcher Award

Pearce - Space Situational Awareness - Best Researcher Award

University of Arizona Steward Observatory - United States

AUTHOR PROFILE

SCOPUS

🌌 EXPERTISE IN SPACE DOMAIN AWARENESS

With over 30 years of experience in Space Domain Awareness (SDA), Dr. Eric C. Pearce is a leading expert in the field. His work emphasizes the development and application of electro-optical surveillance systems, particularly for unique SDA applications. Dr. Pearce has played a pivotal role in the design and implementation of groundbreaking technologies, including the DARPA 3.5 m Space Surveillance Telescope (SST), contributing to advancements in cislunar SDA and system-level analysis.

🔭 RESEARCH AND DEVELOPMENT

Dr. Pearce currently holds dual appointments at the University of Arizona as a Research Astronomer at Steward Observatory and as a Professor in the Department of Astronomy. His research programs are at the cutting edge of cislunar domain awareness, where he serves as the Technical Director for the Cislunar Domain Awareness System (Orthos). This innovative project integrates novel technologies to revolutionize space surveillance in the cislunar domain, showcasing his ability to drive forward-thinking solutions in space research.

🌍 ADVANCING CISLUNAR DOMAIN AWARENESS

One of Dr. Pearce’s significant contributions is in establishing Space Situational Awareness (SSA) in cislunar space. His work has been instrumental in exploring the commercial and military utility of space operations beyond Earth's orbit, addressing the challenges of extending sensor networks into this new frontier. His research has been widely circulated within the Department of Defense and Intelligence communities, reinforcing his role as a thought leader in space operations.

📡 PIONEERING BALLOON-BORNE TELESCOPES

Dr. Pearce has also explored the potential of balloon-borne telescopes for cislunar SDA, particularly for detecting and tracking objects near the moon. His comprehensive studies have identified crucial technology developments required for this innovative approach, further expanding the boundaries of space surveillance technologies.

🔧 INNOVATIONS IN ASTRONOMICAL TECHNIQUES

In addition to his work on cislunar SDA, Dr. Pearce has contributed to several other groundbreaking projects, including the development of an Advanced Volume Holographic Filter (AVHF) for daylight suppression. This technology has the potential to significantly enhance the sensitivity of ground-based telescopes for daylight and cislunar applications, underscoring his expertise in merging astronomical techniques with practical applications in space surveillance.

🔬 UKIRT DEBRIS OBSERVATIONS

Dr. Pearce has led efforts in space debris characterization through the UKIRT Debris Observations Pilot Project. His team has developed techniques to monitor and analyze space debris using near-IR photometry and spectroscopy, contributing to the understanding of space debris dynamics and identification of anomalous objects in orbit.

🌙 NIGHT SKY BRIGHTNESS MODELING

Committed to mitigating the effects of light pollution on astronomical observations, Dr. Pearce has been actively involved in night sky brightness (NSB) measurements and model validation. His work helps refine models that predict sensor performance in various lighting conditions, including the challenging environment near the moon, ensuring that SDA systems can operate effectively in all conditions.

NOTABLE PUBLICATION

An Inexpensive Turnkey 6.5m Observatory with Customizing Options
Authors: Kingsley, J.S., Angel, R., Davison, W., Gonzales, K., Adriaanse, D.
Year: 2018
Conference: Proceedings of SPIE - The International Society for Optical Engineering

Overview and Status of the Giant Magellan Telescope Project
Authors: McCarthy, P.J., Fanson, J., Bernstein, R., Jacoby, G., Pearce, E.
Year: 2016
Conference: Proceedings of SPIE - The International Society for Optical Engineering

Development and Application of Spherically Curved Charge-Coupled Device Imagers
Authors: Gregory, J.A., Smith, A.M., Pearce, E.C., Dolat, V.S., Loomis, A.H.
Year: 2015
Journal: Applied Optics

Focus and Alignment of the Space Surveillance Telescope: Procedures and Year 2 Performance Results
Authors: Freedman Woods, D., Lambour, R.L., Faccenda, W.J., Shah, R.Y., Cornell, M.E.
Year: 2014
Conference: Proceedings of SPIE - The International Society for Optical Engineering

Improving the Space Surveillance Telescope's Performance Using Multi-Hypothesis Testing
Authors: Zingarelli, J.C., Pearce, E., Lambour, R., Peterson, C.J.R., Cain, S.
Year: 2014
Journal: Astronomical Journal

Bere Benjamin Bantchina – Biosystems Engineering – Best Researcher Award

Bere Benjamin Bantchina - Biosystems Engineering - Best Researcher Award

Bursa Uludag University - Turkey

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC AND PROFESSIONAL BACKGROUND

Bere Benjamin Bantchina has built a diverse academic and professional career, beginning with a Ph.D. scholarship awarded by the Scientific and Technological Research Council of Turkey. His educational journey included prestigious scholarships like the International Excellence Master Scholarship and the National Merit and Excellence Undergraduate Scholarship. Currently, he is a Postdoctoral Researcher at Bursa Uludağ University in Turkey, where his work is deeply rooted in the integration of technology and agriculture.

🌾 RESEARCH IN PRECISION AGRICULTURE

Bantchina's research interests lie in precision agriculture, focusing on site-specific fertigation, digital agriculture, and precision irrigation. His work aims to optimize agricultural practices using advanced technologies such as remote sensing, machine learning, and UAV technology. This innovative approach helps in improving crop yield predictions and soil management, contributing significantly to sustainable agriculture.

📡 EXPERTISE IN REMOTE SENSING AND GIS

Bere is highly skilled in remote sensing and GIS applications, with a strong background in multispectral and hyperspectral remote sensing. His research has led to the development of machine learning models for crop type classification and spatiotemporal modeling of soil water dynamics. His expertise in these areas is demonstrated through his publications in renowned journals, where he explores the use of Sentinel-derived spectral indices and proximal soil sensing.

📊 DATA FUSION AND NUMERICAL MODELING

In his work, Bantchina combines various data sources through numerical modeling and data fusion techniques to enhance the accuracy of agricultural predictions. His research includes modeling soil properties and crop data to develop efficient irrigation schedules and improve water management practices. His innovative use of artificial intelligence in agriculture is paving the way for more precise and data-driven farming methods.

✈️ INTERNATIONAL COLLABORATIONS AND TRAINING

Bantchina has gained international experience through his Erasmus+ Exchange Mobility Traineeship at the University of Liège in Belgium, where he participated in advanced courses and fieldwork. This experience has broadened his expertise in applied remote sensing, photogrammetry, and spatial analysis, contributing to his holistic understanding of global agricultural challenges and solutions.

📚 SCHOLARSHIPS AND AWARDS

Throughout his academic journey, Bere Benjamin Bantchina has been recognized with numerous scholarships and awards, highlighting his dedication and excellence in his field. These accolades include the Erasmus+ Traineeship Mobility Scholarship and the Ph.D. Scholarship from Turkey's prestigious research council, which have supported his research and professional development.

📝 CONTRIBUTIONS TO SCIENTIFIC LITERATURE

Bantchina has made significant contributions to scientific literature with several peer-reviewed publications. His work is well-regarded in the academic community, addressing crucial issues in precision agriculture and environmental management. His research articles cover topics like machine learning-based crop classification, soil water dynamics, and the integration of GIS in watershed management, showcasing his commitment to advancing agricultural sciences.

NOTABLE PUBLICATION

Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize
Authors: Bantchina, B.B., Gündoğdu, K.S., Arslan, S., Qaswar, M., Mouazen, A.M.
Year: 2024
Journal: Soil Systems

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

Jia Song – Intelligence theory and applications – Best Researcher Award

Jia Song - Intelligence theory and applications - Best Researcher Award

School of Astronautics, Beihang University - China

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC BACKGROUND AND EXPERTISE

Jia Song earned her B.S. degree in Electrical Engineering and Automation, and Intelligent Systems from Harbin Engineering University in 2005, followed by a Ph.D. in Control Theory and Control Engineering from the same institution in 2009. Her profound expertise in these fields laid the foundation for her future endeavors in advanced control systems and intelligent decision-making.

🏛️ PROFESSOR AND DOCTORAL SUPERVISOR

Currently a Professor and doctoral supervisor at the School of Astronautics, Beihang University, Jia Song plays a crucial role in shaping the next generation of engineers and researchers. Her work focuses on advanced flight control systems and collaborative decision-making, where she mentors doctoral students, guiding them through complex research challenges.

🚀 RESEARCH IN ADVANCED FLIGHT CONTROL

Jia Song's research is centered on the development of advanced flight control systems, particularly in high-stakes scenarios involving high dynamic vehicles. Her studies address critical issues such as control precision and margin adequacy in environments with multiple constraints, such as no-fly zones and high-velocity interceptors, making significant strides in the field of aerospace engineering.

🎯 INNOVATIVE PENETRATION GAME STRATEGY

One of her notable contributions is the investigation of penetration game strategies for high dynamic vehicles. Her innovative approach involves an enhanced artificial potential field method that improves lateral penetration guidance strategies, effectively balancing obstacle avoidance and target reachability. This research not only advances theoretical understanding but also offers practical solutions for real-world applications.

🔧 APPLICATION OF ARTIFICIAL INTELLIGENCE AND PREDICTIVE MODELS

Jia Song integrates advanced artificial intelligence techniques, such as the Kalman filter and Transformer network, into her research. These tools are used to denoise detection information and predict multi-step state outcomes, significantly increasing the success rate of high dynamic vehicles in confronting high-velocity interceptors. Her work exemplifies the fusion of AI with traditional engineering to solve complex problems.

📊 NUMERICAL SIMULATIONS AND VALIDATION

Her research is rigorously validated through numerical simulations, which demonstrate the effectiveness and performance of the proposed penetration game guidance strategies. These simulations confirm the practicality and reliability of her methods, ensuring that they can be applied to real-world scenarios with confidence.

🏆 CONTRIBUTIONS TO AEROSPACE ENGINEERING

Jia Song’s contributions to aerospace engineering, particularly in the areas of flight control and collaborative decision-making, are highly regarded in the academic and professional communities. Her innovative research and commitment to excellence continue to push the boundaries of what is possible in the field of astronautics, making her a leading figure in her domain.

NOTABLE PUBLICATION

ADRC-Based Compound Control Strategy for Spacecraft Multi-Body Separation
Authors: Hu, Y., Wu, M., Zhao, K., Song, J., He, B.
Year: 2023
Journal: Aerospace Science and Technology

Survey on Mission Planning of Multiple Unmanned Aerial Vehicles
Authors: Song, J., Zhao, K., Liu, Y.
Year: 2023
Journal: Aerospace

Time-Cooperative Trajectory Optimization Method for Hypersonic Vehicle Based on Improved Grey Wolf Artificial Potential Field Method
Authors: Teng, B., Xu, X., Song, J.
Year: 2023
Conference: 2023 China Automation Congress (CAC 2023)

Fault Location and Separation Method of Distributed Inertial Measurement Units Based on IAC
Authors: Song, J., Shang, W., Wu, B., Ai, S.
Year: 2023
Conference: 2023 10th International Conference on Dependable Systems and Their Applications (DSA 2023)

Real-Time Trajectory Planning for Hypersonic Vehicle with Dynamic No-Fly Zone Constraints
Authors: Xiaowei, X., Jia, S., Kai, Z., Xindi, T., Yanxue, Z.
Year: 2023
Book Series: Lecture Notes in Electrical Engineering (LNEE)

Zouatine Mohamed – Earthquake Engineering – Best Researcher Award

Zouatine Mohamed - Earthquake Engineering - Best Researcher Award

Rheinland-Pfälzische Technische Universität Kaiserslautern - Germany

AUTHOR PROFILE

SCOPUS

🎓 EDUCATION AND ACADEMIC EXCELLENCE

Zouatine Mohamed is a distinguished academic with a Master’s degree in Structural Engineering from the Budapest University of Technology and Economics, Hungary, where he graduated with a GPA of 4.75/5, earning the highest honors. His academic journey began with a Bachelor’s degree in Public Works Engineering from the University Abdelhamid Ibn Badis of Science and Technology, Algeria, where he also excelled with a GPA of 16.51/20. His educational background is rooted in civil engineering, with a strong focus on structural analysis, seismic design, and advanced engineering methodologies.

🔬 RESEARCH AND PROFESSIONAL EXPERIENCE

Zouatine currently serves as a Research Assistant at the Institute of Static and Dynamic at Rhineland-Palatinate University of Technology (RPTU), Germany. His research is integral to the Metis European Project, where he contributes to improving seismic risk assessment tools and methodologies for nuclear safety. He has engineered advanced numerical models, conducted sensitivity analyses, and developed simplified formulas for linear and nonlinear floor response spectra. His work is pivotal in enhancing the safety and reliability of nuclear power plant structures, with a particular focus on seismic risk and aftershock events.

🏛️ INNOVATIVE PROJECTS IN SEISMIC ENGINEERING

Throughout his career, Zouatine has been involved in several groundbreaking projects, including the Seismic Base Isolation Project and the SMATCH International Benchmark. His work in predicting seismic ground motions at the Cruas Nuclear Power Plant in France and assessing the seismic response of base-isolated NPPs has been instrumental in advancing the understanding of seismic base isolation systems. Additionally, his innovative design methods for rocking structures equipped with friction ring springs have set new standards in structural performance and safety.

💻 TECHNICAL SKILLS AND COMPETENCIES

Zouatine possesses a robust technical skill set that includes advanced knowledge of numerical modeling, seismic analysis, and machine learning. His expertise in implementing methodologies in open-source software and conducting comprehensive seismic risk assessments has made him a valuable asset in his field. He continues to expand his knowledge through continuous learning, with recent courses in Machine Learning, Bayesian Statistics, and Reliability Engineering.

🏆 ACHIEVEMENTS AND RECOGNITIONS

Zouatine’s academic and professional achievements are a testament to his dedication and excellence in the field of civil engineering. His ability to combine theoretical knowledge with practical applications has earned him recognition in the academic community. His contributions to seismic engineering, particularly in the context of nuclear safety, are highly regarded, and his work continues to influence the development of safer and more reliable engineering practices.

🌍 INTERNATIONAL EXPERIENCE AND COLLABORATIONS

Zouatine’s international experience, including his studies in Hungary and his research in Germany, has provided him with a global perspective on civil and structural engineering. His collaborations on European projects such as the Metis European Project have allowed him to work alongside leading experts in seismic risk assessment, further enhancing his expertise and expanding his professional network.

📚 CONTINUOUS LEARNING AND PROFESSIONAL DEVELOPMENT

Committed to lifelong learning, Zouatine has completed several advanced courses to enhance his expertise in engineering and data science. His recent certifications in Machine Learning with Python and R, Bayesian Statistics for Data Science, and Reliability Engineering and Fatigue Analysis reflect his dedication to staying at the forefront of technological advancements and applying these skills to his research in structural engineering.

NOTABLE PUBLICATION

Seismic Performance and Design of an Innovative Structure with Controlled Rocking Shear Wall Using Ring Springs
Authors: Zouatine, M., Helm, L., Sadegh-Azar, H.
Year: 2024
Journal: Soil Dynamics and Earthquake Engineering

Development of a Progressive Approach to the Assessment of the Seismic Risk of European Nuclear Power Plants
Authors: Goldschmidt, K., Zouatine, M., Sadegh-Azar, H.
Year: 2023
Journal: Bauingenieur

Venumaheswar Rao Bondala – Biomedical Signal Processing – Best Researcher Award

Venumaheswar Rao Bondala - Biomedical Signal Processing - Best Researcher Award

KITS WARANGAL - India

AUTHOR PROFILE

SCOPUS

🎓 EDUCATION AND ACADEMIC BACKGROUND

Venumaheswar Rao Bondala is a dedicated researcher and educator, currently pursuing his Ph.D. at Kakatiya University, Warangal, since February 2018. He has been actively involved in academia as an Assistant Professor at the Kakatiya Institute of Technology and Science, Warangal, since June 2013. His academic journey is marked by a strong foundation in engineering, with a focus on advancing his expertise in signal processing and machine learning, which are integral to his research in biomedical engineering.

🧑‍🏫 TEACHING AND PROFESSIONAL EXPERIENCE

With over a decade of teaching experience, Venumaheswar Rao has significantly contributed to the Kakatiya Institute of Technology and Science. He has held various administrative and coordination roles, including Training Placement Coordinator, Faculty Coordinator for B.Tech. Major Projects, and Faculty In-charge for Higher Education Cell, Alumni Affairs, and Student Internships. His commitment to student development and academic excellence is evident in his multifaceted responsibilities, guiding students both in their academic and professional pursuits.

🔬 RESEARCH FOCUS AND LATEST PROJECTS

Venumaheswar Rao’s research is centered on signal processing, particularly in the field of biomedical engineering. His recent projects include developing adaptive filtering methods for de-noising Pulse Oximeter signals using Wavelet Transform, and diagnosing cardiovascular diseases through Machine Learning algorithms applied to PPG signals. His work on extracting respiratory and blood oxygen saturation data from Photoplethysmogram (PPG) signals showcases his innovative approach to enhancing medical diagnostics through advanced computational techniques.

💻 TECHNICAL SKILLS AND COMPETENCIES

Venumaheswar Rao possesses a strong technical skill set, which includes expertise in MATLAB programming, Python, C/C++, LabView, and Embedded C. His proficiency in Machine Learning has been crucial to his research endeavors, particularly in the development of diagnostic tools for cardiovascular diseases. His hands-on experience with these technologies allows him to bridge the gap between theoretical research and practical applications in the field of biomedical signal processing.

🏆 ACHIEVEMENTS AND RECOGNITIONS

Throughout his academic career, Venumaheswar Rao has achieved several milestones, including securing the 1st position in the Ph.D. Entrance Examination of 2017 and qualifying for the UGC-NET in the same year. His outstanding performance in the GATE examination, where he secured an AIR-771 in 2008, further underscores his academic excellence. These achievements reflect his dedication to continuous learning and his ability to excel in competitive environments.

📚 PARTICIPATION IN ACADEMIC EVENTS

Venumaheswar Rao actively participates in academic conferences, workshops, and Faculty Development Programs (FDPs). Notable among these are his participation in MATLAB EXPO 2023, an AICTE Sponsored Conference in 2022, and various FDPs focused on AI in Signal Processing. His engagement in these events demonstrates his commitment to staying at the forefront of technological advancements and integrating new knowledge into his teaching and research.

🎓 CERTIFICATIONS AND CONTINUOUS LEARNING

To enhance his expertise, Venumaheswar Rao has obtained several certifications, including NPTEL certifications in Python for Data Science, Biomedical Signal Processing, and Sensors and Actuators. He has also completed advanced training courses such as the NI LabView Module-2 Training Course and Advanced Research Methodology in 2022. These certifications are a testament to his commitment to lifelong learning and his desire to remain proficient in the latest technological tools and methodologies in his field.

NOTABLE PUBLICATION

An Efficient Model for Extracting Respiratory and Blood Oxygen Saturation Data from Photoplethysmogram Signals by Removing Motion Artifacts Using Heuristic-Aided Ensemble Learning Model
Authors: Bondala, V.R., Komalla, A.R.
Year: 2024
Journal: Computers in Biology and Medicine

Liu Jun – Fundamental research – Excellence in Research

Liu Jun - Fundamental research - Excellence in Research

Chongqing Medical University - China

NOTABLE PUBLICATION

SCOPUS

🎓 EDUCATION BACKGROUND

Liu Jun received a bachelor's degree from Southwest Medical University in 2016 and later earned a master's degree from Chongqing Medical University in 2024. Specializing in integrated Chinese and Western medicine, Liu Jun is an attending doctor in Internal Medicine, with a particular focus on the prevention and treatment of chronic kidney disease. His academic journey has provided a strong foundation in both traditional Chinese medicine and modern medical practices, allowing him to approach complex health issues with a holistic perspective.

🩺 RESEARCH INTERESTS

Liu Jun’s research is centered on the integration of Chinese and Western medicine for the prevention and treatment of chronic kidney disease (CKD). His work explores the therapeutic potential of combining traditional herbal remedies, such as Astragaloside IV, with modern medical techniques. By focusing on the synergistic effects of these two medical traditions, he aims to develop more effective treatments for CKD, particularly in the context of complex conditions like diabetic kidney disease (DKD).

🔬 KEY STUDY ON ASTRAGALOSIDE IV

Liu Jun has conducted groundbreaking research on Astragaloside IV (AS-IV), a bioactive compound from the Astragalus membranaceus root, used in Chinese medicine to treat CKD. His study revealed that AS-IV plays a significant role in the treatment of diabetic kidney disease by mitigating oxidative stress, ferroptosis, and mitochondrial dysfunction in renal tubular epithelial cells. This research provides new insights into the renoprotective mechanisms of AS-IV and highlights its potential for clinical application in DKD management.

🧬 RESEARCH METHODS AND FINDINGS

In his study, Liu Jun employed advanced research techniques, including network pharmacology, proteomics, molecular docking, and molecular dynamics simulation, to uncover the molecular mechanisms by which AS-IV exerts its protective effects. His findings demonstrated that AS-IV enhances renal function, reduces oxidative stress, and prevents mitochondrial damage in DKD models. The study also identified key proteins—HMOX1, FTH1, and TFR1—that interact with AS-IV, further supporting its role in combating mitochondrial dysfunction and ferroptosis in DKD.

📚 PUBLICATIONS

Liu Jun has published four SCI papers, each contributing to the understanding of integrated Chinese and Western medicine in the treatment of chronic kidney disease. His work on AS-IV and its effects on DKD has been particularly impactful, offering new avenues for the development of renoprotective therapies. His publications reflect a commitment to advancing the field of nephrology through innovative research that bridges traditional and modern medical practices.

🏅 CONTRIBUTIONS TO INTEGRATED MEDICINE

Through his research, Liu Jun is making significant contributions to the field of integrated Chinese and Western medicine. His work not only advances the scientific understanding of traditional herbal compounds like AS-IV but also paves the way for their integration into modern medical treatments. His research has the potential to improve patient outcomes by providing more comprehensive and effective therapies for chronic kidney disease, particularly in the context of diabetes.

🌟 PROFESSIONAL GOALS

Looking ahead, Liu Jun aims to continue his research in integrated medicine, focusing on the development of new strategies for the treatment of chronic kidney disease. His goal is to further explore the potential of traditional Chinese medicine in combination with Western medical approaches, ultimately contributing to the creation of more holistic and effective treatment options for patients with complex medical conditions like DKD.

NOTABLE PUBLICATION

A New Strategy for Astragaloside IV in the Treatment of Diabetic Kidney Disease: Analyzing the Regulation of Ferroptosis and Mitochondrial Function of Renal Tubular Epithelial Cells
Authors: Liu, J., Yang, K., Zhou, L., Zhang, Y., Cao, W.
Year: 2024
Journal: International Immunopharmacology

Proteomic and Lipidomic Analysis of the Mechanism Underlying Astragaloside IV in Mitigating Ferroptosis Through Hypoxia-Inducible Factor 1α/Heme Oxygenase 1 Pathway in Renal Tubular Epithelial Cells in Diabetic Kidney Disease
Authors: Liu, J., Ren, J., Zhou, L., Cao, W., Zhang, Y.
Year: 2024
Journal: Journal of Ethnopharmacology

Integration of Network Pharmacology and Serum Medicinal Chemistry to Investigate the Pharmacological Mechanisms of QiZhuYangGan Decoction in the Treatment of Hepatic Fibrosis
Authors: Deng, J.-W., Yuan, S., Shi, L.-P., Yang, Q., Cao, W.-F.
Year: 2024
Journal: Journal of Ethnopharmacology

Mingjun Hu – Road Engineering – Best Researcher Award

Mingjun Hu - Road Engineering - Best Researcher Award

Dalian University of Technology - China

AUTHOR PROFILE

SCOPUS

🎓 EDUCATION BACKGROUND

Mingjun Hu completed his PhD in Road Engineering at Tongji University, where he specialized in the fields of road materials and transportation engineering under the guidance of Prof. Daquan Sun. He also pursued a joint PhD at TU Wien University, working with Prof. Bernhard Hofko, further expanding his expertise in road engineering. His academic journey reflects his dedication to advancing the field of transportation engineering, particularly in the areas of intelligent maintenance and ecological resilience.

🛤️ RESEARCH INTERESTS

Mingjun Hu’s research is focused on Intelligent Maintenance and Precise Rehabilitation of Road Engineering, along with the ecological effects and resilience of road systems. He is deeply involved in the digitalization and intelligentization of road materials, applying quantum chemistry and molecular simulation to enhance their performance. His work aims to create more sustainable and resilient road infrastructures through innovative technologies and advanced materials.

📚 PUBLICATIONS

Over the past five years, Mingjun Hu has made significant contributions to the field of road engineering, with over 40 published SCI journal papers. His research has been recognized in high-impact journals such as ACS Sustainable Chemistry & Engineering and the Journal of Cleaner Production. His studies on the aging and rejuvenation of high-viscosity modified asphalt are particularly noteworthy, showcasing his ability to blend molecular dynamics simulation with experimental analysis for optimal results.

🏅 HONORS AND AWARDS

Mingjun Hu’s excellence in research has been recognized with several prestigious awards, including the Excellent Doctoral Dissertation Award from Tongji University in 2024 and the Shanghai Outstanding Graduate Award in 2023. He also received the Doctoral National Scholarship and the Shanghai Highway Society Science and Technology Award, underscoring his contributions to the advancement of road engineering and transportation science.

🔬 RESEARCH EXPERIENCES

Currently, Mingjun Hu is leading several key research projects, including a study on the multi-source environmental coupled aging behavior of permeable asphalt pavement at Dalian University of Technology. His research also involves the development of anti-aging methods for porous asphalt pavements in extreme environments. Through these projects, he is pioneering new approaches to enhance the durability and performance of road materials under challenging conditions.

📖 ACADEMIC POSITIONS

In addition to his research, Mingjun Hu holds several academic positions, including serving on the editorial boards of Municipal Engineering and the Journal of Changsha University of Science and Technology. He is also a member of key technical committees at the World Transportation Convention (WTC) and a guest editor for prominent SCI journals. His active involvement in these roles highlights his leadership in the field and his commitment to shaping the future of road engineering.

🌍 PROFESSIONAL MEMBERSHIPS

Mingjun Hu is a member of several professional organizations, including the China Highway and Transportation Society and the Shanghai Transportation Society. His memberships reflect his engagement with the broader engineering community and his dedication to contributing to the development of sustainable transportation systems on a national and international scale.

NOTABLE PUBLICATION

Molecular-Atomic Scale Insight on Asphalt-Aggregate Interface Interaction and Seawater Erosion with Different Aging-Resistant Materials Using Molecular Dynamics Simulations
Authors: Hu, M., Zhou, C., Sun, G., Mirwald, J., Sun, D.
Year: 2024
Journal: Energy and Fuels

2D Aggregate Gradation Conversion Framework Integrated with 3D Random Aggregate Method and Machine-Learning for Asphalt Concrete
Authors: Wei, X., Sun, Y., Gong, H., Hu, M., Chen, J.
Year: 2024
Journal: Journal of Materials in Civil Engineering

Multiscale Optimization on Polymer-Based Rejuvenators for the Efficient Recycling of Aged High-Viscosity Modified Asphalt: Molecular Dynamics Simulation and Experimental Analysis
Authors: Hu, M., Sun, D., Hofko, B., Mirwald, J., Xu, L.
Year: 2024
Journal: Journal of Cleaner Production

Automatic Identification Method for Three-Phase Structure of Pervious Concrete Based on Deep Learning Network of Mask R-CNN
Authors: Yu, F., Cai, H., Zhang, H., Zhang, R., Gao, Z.
Year: 2024
Journal: Construction and Building Materials

Effect of Initial Conditions on the Pore Structure and Bimodal Soil–Water Characteristic Curve of Compacted Granite Residual Soil
Authors: Chen, X., Ma, M., Zhou, S., Zhai, K., Wei, S.
Year: 2024
Journal: Processes

Ashraf Darwish – Sustainable Development – Outstanding Scientist Award

Ashraf Darwish - Sustainable Development - Outstanding Scientist Award

Faculty of science - Egypt

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC BACKGROUND

Ashraf Darwish is a distinguished academic with a PhD in Computer Science from St. Petersburg State University, Russia. His academic journey also includes a Master’s Degree in Computer Science and Mathematics from Tanta University, Egypt, where he laid the foundation for his extensive expertise in computational science. His educational background is further enriched by pre-PhD and pre-Masters courses in Computer Science and Mathematics, showcasing his commitment to continuous learning and development.

💻 PROFESSIONAL EXPERIENCE

Professor Ashraf Darwish is currently a Professor of Computer Science at Helwan University, Cairo, Egypt, where he has also served as an Associate Professor and Acting Head of the Mathematics Department. His career includes a pivotal role as the Cultural and Educational Attaché at the Embassy of Egypt in Kazakhstan, highlighting his leadership in both academic and diplomatic spheres. With years of experience in academia, he has contributed significantly to the development of computer science education and research at various prestigious institutions.

📚 TEACHING EXPERTISE

Ashraf Darwish has an extensive teaching portfolio, covering a wide range of subjects in computer science and mathematics. His teaching repertoire includes courses such as Artificial Intelligence, Machine Learning, Data Science, Cloud and Fog Computing, and Internet of Things, among others. His passion for teaching and ability to convey complex concepts have made him a respected figure among students and colleagues alike.

🔬 RESEARCH FOCUS

Professor Darwish's research is centered around Artificial Intelligence, Data Science, and Emerging Technologies. His work spans various cutting-edge areas, including Machine Learning, Bioinformatics, Computational Intelligence, and Blockchain Technology. He is particularly interested in the applications of AI in diverse fields, such as Chemoinformatics, Information Security, and Computer Vision, making substantial contributions to the advancement of technology and its real-world applications.

🌍 GLOBAL RECOGNITION

Ashraf Darwish has earned global recognition for his research, being ranked among the top 2% of the world’s most-cited scientists according to Stanford University's Ioannidis's index, published in both 2022 and 2023. His contributions to the fields of Artificial Intelligence, Image Processing, and Information and Communication Technologies have positioned him as a leading expert, further solidifying his impact on the global research community.

🏆 AWARDS AND HONORS

Throughout his career, Professor Darwish has received numerous accolades, including the prestigious award for being the best researcher at Helwan University in 2014. His continuous pursuit of excellence and dedication to his field have been recognized both nationally and internationally, underscoring his influence as a researcher and educator.

🌐 LANGUAGE AND CERTIFICATIONS

Fluent in multiple languages, including Arabic, English, Russian, and German, Ashraf Darwish's linguistic abilities complement his global academic and research endeavors. His certifications in these languages demonstrate his commitment to cross-cultural communication and collaboration, enhancing his effectiveness in international academic and professional environments.

NOTABLE PUBLICATION

Graphene and Graphene Based Nanocomposites for Bio-Medical and Bio-safety Applications
Authors: Verma, R., Kumar Gupta, S., Lamba, N.P., Bahadur, V., Chauhan, M.S.
Year: 2023
Journal: ChemistrySelect

Automotive applications of biodegradable polymers
Authors: Jineesh, A.G., Parameswaranpillai, J., Chavali, M., Hegde, C., Bhansali, P.R.
Year: 2023

Structurally modified compounds of hydroxychloroquine, remdesivir and tetrahydrocannabinol against main protease of SARS-CoV-2, a possible hope for COVID-19: Docking and molecular dynamics simulation studies
Authors: Mishra, D., Maurya, R.R., Kumar, K., Singh, P., Bahadur, I.
Year: 2021
Journal: Journal of Molecular Liquids

Aldehydes: Magnificent acyl equivalents for direct acylation
Authors: Kumar, P., Dutta, S., Kumar, S., Parmar, V.S., Singh, B.K.
Year: 2020
Journal: Organic and Biomolecular Chemistry

Cu-catalyzed one-pot multicomponent approach for the synthesis of symmetric and asymmetric 1,4-dihydropyridine (1,4-DHP) linked 1,2,3-triazole derivatives
Authors: Kaushik, P., Kumar, A., Kumar, P., Singh, B.K., Bahadur, V.
Year: 2020
Journal: Synthetic Communications

N-Directed Pd-Catalyzed Direct ortho-Acetoxylation and ortho-tert-Butoxylation of 2-Phenyl-4H-benzo[d][1,3]oxazin-4-ones via C-H Activation
Authors: Gupta, M., Kumar, S., Kumar, P., Bahadur, V., Singh, B.K.
Year: 2019
Journal: ChemistrySelect

Title: Microwave-Assisted Ruthenium-Catalysed ortho-C−H Functionalization of N-Benzoyl α-Amino Ester Derivatives
Authors: Sharma, N., Bahadur, V., Sharma, U.K., Singh, B.K., Van der Eycken, E.V.
Year: 2018
Journal: Advanced Synthesis and Catalysis