Prof. Riheb HADJI | Earth and Planetary Sciences | Best Researcher Award

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Prof. Riheb HADJI | Earth and Planetary Sciences | Best Researcher Award

Research teacher, Setif 1 University, Algeria

Professor Riheb Hadji, an esteemed figure in Earth and Planetary Sciences at Setif 1 University, Algeria, has been honored with the Best Researcher Award 🏆. His dedication and passion for research have propelled him to the forefront of his field. Through tireless efforts and innovative exploration, Professor Hadji has made significant contributions to the understanding of our planet and beyond. His commitment to advancing knowledge and inspiring the next generation of scientists is truly commendable. This prestigious award is a testament to his outstanding achievements and unwavering commitment to excellence in research.

Profile

Google Scholar, orcid

Education

Prof. Riheb Hadji embarked on his academic journey by earning a Secondary Baccalaureate in Natural Sciences from LFT Tebessa in June 1993, achieving a commendable mention. He pursued his passion further, graduating with a Bachelor’s degree in Engineering Geology from the University of Tebessa in June 1998, with another laudable mention. Continuing his academic pursuits, he obtained his DEA in Engineering Geology from the same university in June 2000, maintaining a strong academic record. His dedication was recognized when he received his Magister in Engineering Geology from the University of Tebessa in March 2005 with honors. Driven by a quest for knowledge, he completed his second post-graduate degree, a Doctorate in Geology, with high distinction from the University of Annaba in October 2013. Rising in academia, he became a Lecturer with HDR in Geology at the University of Tebessa in May 2016. Finally, in July 2021, he reached the pinnacle of his academic career, becoming a full Professor in Earth and Planetary Sciences, accredited by the MESRS. 📚🎓

Research projects

Professor Riheb Hadji has been extensively involved in researching and addressing natural risks in various regions of Algeria. 🌍 His work includes the identification, characterization, and mapping of natural risks in Tebessa, Setif, and Mila, assessing hazards such as landslides and their impact on development and the environment. Over the years, he has focused on mapping major risks in Northeast Algeria and implementing prevention measures, notably in the Souk Ahras region. Moreover, his studies extend to adapting socio-economic development to climate change, water stress, soil erosion, and geological risks through territorial intelligence strategies. In recent research, he explored reinforcing civil engineering structures with Fiber-Reinforced Polymers (FRP) materials using the Near-Surface Mounted (NSM) technique, emphasizing innovative solutions to mitigate risks and enhance infrastructure resilience. 🏞️🔍

Service

Prof. Riheb Hadji, an esteemed geoscientist, has been an active figure in numerous scientific committees and editorial roles, contributing significantly to the advancement of geosciences in Algeria and beyond. From his early involvement in conferences such as RSG’2013 to his recent roles as an associate editor for prestigious journals, Hadji has demonstrated unwavering dedication to his field. 🌍 His commitment is evident through his founding membership in associations, leadership roles in academic committees, and continuous participation in international conferences. With a focus on sustainable development, water resources, and environmental impact assessment, his work significantly impacts the scientific community. 🏞️

Doctorate Supervision

Prof. Riheb Hadji’s research from 2015 to 2019 focused on analyzing landslide activity in relation to climatic conditions in the Souk Ahras region of Northeast Algeria. He then delved into the use of multi-band images and Geographic Information System (GIS) for estimating and mapping soil susceptibility to water erosion in semi-arid areas, with a case study of the Mellegue watershed. Subsequent studies involved discriminating geological and structural units of the Nememchas mountains using space technologies, and developing a methodology to support mining galleries in the Boukhadra underground mine. His ongoing PhD research explores mapping landslide risks in the Algerian-Tunisian border region, estimating and mapping water erosion and sediment transport in the Bousselam watershed, and conducting a multidimensional assessment of water erosion, sediment transport, and reservoir siltation in the Senegal River basin using Geomatics tools. 🏞️🌍

Teaching and Course Coordination

Prof. Riheb Hadji is a versatile educator, proficient in teaching various modules across Bachelor’s and Master’s levels. In the realm of Bachelor’s programs, he imparts knowledge in Soil Mechanics, Applied Mathematics, and Historical Geology and Paleogeography. 📚 Moving to Master’s programs, he delves into advanced topics such as GIS-based Multi-criteria analysis, Assisted Cartography and GIS, and Natural Hazards and Risks. With an adept hand, he navigates through subjects like Engineering Geology and Geotechnics, Project Management, and Ethics and Deontology, ensuring a comprehensive educational experience. Prof. Hadji’s expertise spans from foundational courses to specialized studies, enriching the academic journey of his students. 🎓

Publications Top Notes

Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria

Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations

Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: a case study of Souk Ahras region, NE Algeria

Hydrogeochemical and stable isotope data of groundwater of a multi-aquifer system: Northern Gafsa basin–Central TunisiaGroundwater mixing and geochemical assessment of low-enthalpy resources in the geothermal field of southwestern Tunisia

Slope failure characteristics and slope movement susceptibility assessment using GIS in a medium scale: a case study from Ouled Driss and Machroha municipalities, Northeast Algeria

Groundwater evolution of the Continental Intercalaire aquifer of Southern Tunisia and a part of Southern Algeria: use of geochemical and isotopic indicators

Hydrogeochemical characterization of water mineralization in Tebessa-Kasserine karst system (Tuniso-Algerian Transboundry basin)

GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, NE Algeria

The quarries edges stability in opencast mines: a case study of the Jebel Onk phosphate mine, NE Algeria

Mr. Xinyu Zhang | Transportation Engineering | Best Researcher Award

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Mr. Xinyu Zhang | Transportation Engineering | Best Researcher Award

professor, Dalian Maritime University, China

🎓 Professor Xinyu Zhang of Dalian Maritime University, China, has been honored with the prestigious Best Researcher Award in the field of Transportation Engineering. 🌟 His groundbreaking research and innovative solutions have significantly advanced the industry, earning him this distinguished accolade. 🚄 With a profound commitment to excellence and a remarkable ability to inspire his peers, Professor Zhang continues to set new benchmarks in transportation research. 🌍 This award not only recognizes his individual achievements but also highlights the global impact of his contributions. Congratulations, Professor Zhang! 🎉

📰Profile

orcid, scopus

📚 Academic and Professional Background

🎓 Professor at Dalian Maritime University, doctoral supervisor. Member of the China Institute of Navigation 🚢, Researcher at the China Shipping 50 Forum 🛳️, and Special Researcher at the China Maritime Think Tank 🏢. Graduated with a doctorate from Jilin University 🎓, with a postdoctoral fellowship at Dalian University of Technology 🏫, and a visiting scholar at University College London (UCL) 🌍. Has over 20 years of frontline teaching and research experience 📚, mainly focusing on ship traffic organization optimization ⚓, intelligent autonomous navigation decision-making and control 🤖, and maritime big data-assisted decision-making 📊.

💡 Research and Innovations

🎓 Professor. Xinyu Zhang has an impressive academic and professional portfolio. 📚 He has completed or is currently engaged in 14 research projects and has a remarkable H-Index of 18 in the Web of Science. 🌟 In consultancy and industry projects, he has contributed to 16 research endeavors. He has authored two books with ISBNs: The Encyclopedia of China (Third Edition), Volume on Transportation, Chapter on Waterway Transportation, Section on Intelligent Water Transportation (9787520208581), and Digital Construction and Ecological Development (9787112283651). Additionally, he has published 24 patents and has 21 more under process. 🏅 Mr. Zhang has also published over 50 articles in SCI-indexed journals. 📖

📝 Editorial Appointments

🎓 Professor. Xinyu Zhang is an accomplished professional in the field of marine engineering. 🌊 He serves as an Editorial Board Member for the Journal of Shipping and Ocean Engineering, and the Chinese Journal of Ship Research. 🛳️ Additionally, he is a Guest Editor for several prestigious journals, including Frontiers in Marine Science, the International Association of Management Science & Engineering Technology, and the Journal of Marine Science and Engineering. 📚 His extensive expertise and contributions significantly advance the field of marine science and engineering. 🌐

🤝 Collaborations

🎓 Professor. Mr. Xinyu Zhang participated in a significant sub-project under the National Science and Technology Department, titled “Key Technologies for Intelligent Navigation and Control of Ships Based on Ship-Shore Collaboration” 🚢. This initiative focuses on enhancing ship navigation and control through advanced ship-shore collaboration 🛰️. Mr. Zhang’s involvement underscores the importance of innovative technology in maritime operations 🌊. The project’s goal is to improve safety, efficiency, and reliability in maritime transport 🚀, reflecting the continuous advancements in intelligent navigation systems and control mechanisms 📡. His contribution is vital to the successful implementation of these cutting-edge technologies 🌟.

👥 Professional Memberships

🎓 Professor. Xinyu Zhang, a notable figure in the maritime and navigation sector, has made significant contributions through various esteemed organizations. His affiliations include the National Natural Science Foundation of China, the China Institute of Navigation, and the China Scholarship Council. Additionally, he is a member of the Institute of Marine Engineering, Science, and Technology, as well as the Communication and Navigation Committee of CIN. Mr. Zhang’s expertise lies in Intelligent Simulation Optimization and Scheduling, where he continues to innovate and drive advancements in the field. 🌊🚢✨

🔬 Areas of Research

🎓 Professor. Xinyu Zhang is making waves in maritime technology with his groundbreaking work in the Optimization of Waterway Traffic Organization 🌊. His innovative approach leverages Maritime Big Data Mining and Application 📊 to enhance the efficiency and safety of waterway traffic. Additionally, Mr. Zhang is at the forefront of developing Autonomous Navigation of Intelligent Ships 🚢, pushing the boundaries of what is possible in maritime navigation. His contributions are not only advancing the field but also paving the way for a smarter and more autonomous future in maritime transportation.

📚Publication Top Notes

Ship Anomalous Behavior Detection in Port Waterways Based on Text Similarity and Kernel Density Estimation

Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation

Recent Developments and Knowledge in Intelligent and Safe Marine Navigation

A Ship Route Planning Method under the Sailing Time Constraint

A human-like collision avoidance method for autonomous ship with attention-based deep reinforcement learning

Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model

Traffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy

An adaptive heuristic algorithm based on reinforcement learning for ship scheduling optimization problem

An Efficient Algorithm for the Berth and Quay Crane Assignments Considering Operator Performance in Container Terminal Using Particle Swarm Model

Mr. Zhuoyong Shi | Engineering | Academic Brilliance Star Award-1136

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Mr. Zhuoyong Shi | Engineering | Academic Brilliance Star Award

🎓Postgraduate students in progress, Northwestern Polytechnical University, China

Mr. Zhuoyong Shi, a distinguished engineering scholar at Northwestern Polytechnical University, China, has been honored with the prestigious Academic Brilliance Star Award. This accolade recognizes his outstanding contributions to the field of engineering and his unwavering commitment to academic excellence. As a dedicated postgraduate student, Mr. Shi has demonstrated exceptional research capabilities, innovative thinking, and a passion for advancing technological frontiers. His work not only exemplifies scholarly dedication but also sets a high standard for his peers. The university proudly celebrates his achievements, anticipating even greater contributions in the future. 🌟📚🛠️

PROFILE 🌟

Google Scholar

 EDUCATION 📚

Mr. Zhuoyong Shi is currently pursuing his Master of Engineering in Electronic Science and Technology at Northwestern Polytechnical University, maintaining an impressive GPA of 3.82/4.0 and ranking 1st out of 54 students. He has received several prestigious accolades, including the China National Scholarship for Graduate Students and the Academic First Class Scholarship 🏅. Additionally, he serves as one of the four ITU Generation Connect Youth Envoys in China 🌐 and has been recognized as an Outstanding Graduate Student. His research interests encompass machine learning, pattern recognition, UAVs, and mathematical modeling 🤖📊. Previously, he earned his Bachelor of Engineering in Electronic Information from Xi’an Jiaotong University City College, graduating with a GPA of 3.31/4.0 and ranking 3rd out of 108 students 🎓. During his undergraduate studies, he was honored with the Outstanding Graduation Project, Distinguished Graduate, and the Academic Second Class Scholarship 🏆.

 PROJECTS 🔍

Mr. Zhuoyong Shi has been leading and participating in multiple key R&D projects in Shaanxi Province. Since September 2022, he has been the student leader for The Key R&D Projects in Shaanxi Province (No. 2022GY-089), focusing on multimodal recognition and situational awareness 🌐🤖. From June 2022 to January 2024, he contributed to The Natural Science Basic Research Program of Shaanxi (No. 2022JQ-593), working on reinforcement learning and intelligent decision making 🧠🔍. He also led The Shaanxi Provincial Sports Scientific Research Project (No. 2021382) from September 2021 to September 2022, concentrating on monitoring systems and big data analysis 📊📈. Currently, he is the project leader for the Postgraduate Innovation and Practice Fund Project (No. 06080-24GH01020101) since April 2024, where his research emphasizes pattern recognition and effectiveness evaluation 🔍✅.

 COMPETITIONS 🏆

Mr. Zhuoyong Shi has achieved remarkable success in various prestigious mathematical and modeling competitions. He led his team to secure the National Top Prize in the “Electrical Cup” China Undergraduate Mathematical Contest in Modeling in August 2021 🏆. His individual excellence is highlighted by winning the National First Prize twice in the National Undergraduate Mathematics Competitions in November 2021 and 2020 🥇. In May 2021, as the team leader, he earned an Honorable Mention in the Interdisciplinary Contest In Modeling (ICM) 🌟. Further showcasing his leadership, his team won the National Second Prize in the National Student Statistical Analysis of Data Competition in July 2023 🥈, and the National Third Prize in the “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling in December 2023 🥉. His earlier accolades include the Shaanxi Province First Prize in the China Undergraduate Mathematical Contest in Modeling in September 2019 and the Northwestern Regional First Prize in the National Graduate Student Electronic Design Competition in July 2023 💡. Additionally, he won the Shaanxi Province First Prize in the Higher Mathematics Competition for College Students in October 2019 📚.

EXPERIENCE🚀

Mr. Zhuoyong Shi’s academic journey is marked by notable achievements. He secured first place in the 2023 Future AI Masters and Global IT Training Camp 🌟 and was recognized as an Excellent Camper at the Northwest University of Technology Summer Camp 🏆. Demonstrating his expertise in programming, he served as a teaching assistant for “MATLAB Programming and Application” courses and is the author of a textbook on the same subject 📘 (ISBN: 9787121449376). His planning capabilities shine through his leadership in various competitions and projects, effectively organizing research tasks into manageable sub-tasks using systems engineering principles 🎯.

SKILLS💡

Mr. Zhuoyong Shi is proficient in several programming languages, including MATLAB, Python, and C, demonstrating a robust foundation in software development and technical computing 💻. His expertise extends to various drawing and visualization tools such as MATLAB, Python (matplotlib), Origin, and Visio, enabling him to create detailed and precise graphical representations of data 📊. In the realm of machine learning, Mr. Shi has mastered a range of algorithms, including Support Vector Machines (SVM), Random Forest, Long Short Term Memory Networks (LSTM), Neural Networks, and Reinforcement Learning, showcasing his ability to implement advanced analytical and predictive models 🤖

📚 PUBICATIOND TOP NOTES 📝

UAV Trajectory Prediction Based on Flight State Recognition

Design of motor skill recognition and hierarchical evaluation system for table tennis players

Design of UAV Flight State Recognition System for Multi-sensor Data Fusion

Loyal wingman task execution for future aerial combat: A hierarchical prior-based reinforcement learning approach

Unmanned aerial vehicle track prediction method based on flight mode identification

Design of LABVIEW-based UAV Online Monitoring and Security Situation Assessment System

Design of UAV flight state recognition and trajectory prediction system based on trajectory feature construction

Design of motion pattern recognition system based on artificial intelligence methods

Autonomous Security Evaluation Model for UAV Based on Airborne Information

Method for monitoring and evaluating air data safety of aircraft