Dr. Badr-Eddine CHANNAB | Environmental Chemistry, Agricultural Chemistry, and Nanotechnology | Best Researcher Award-1219

Published on by Environmental Scientists

Dr. Badr-Eddine CHANNAB | Environmental Chemistry, Agricultural Chemistry, and Nanotechnology | Best Researcher Award

Dr. Badr-Eddine CHANNAB, PhD in Materials Chemistry, HASSAN II UNIVERSITY

🌟 Dr. Badr-Eddine CHANNAB, a distinguished researcher with a PhD in Materials Chemistry from HASSAN II UNIVERSITY, excels in Environmental Chemistry, Agricultural Chemistry, and Nanotechnology. His groundbreaking work has earned him the prestigious Best Researcher Award. Dr. CHANNAB’s innovative approach integrates advanced nanotechnology to solve critical environmental and agricultural challenges. His dedication to research and education is shaping the future of sustainable practices. 🌿🔬 His contributions are paving the way for advancements in chemistry and technology, making a significant impact on both the scientific community and society.

PROFILE

GoogleScholar

EDUCATION

🎓 Dr. Badr-Eddine CHANNAB has a rich educational background in materials chemistry. He earned his Ph.D. (2019-2024) from the Faculty of Sciences and Techniques of Mohammedia at University Hassan II Casablanca, focusing on materials, catalysis, and natural resources valorization. He completed his Master’s in Physical Chemistry and Analysis of Materials (2017-2019) from the same university. Earlier, he obtained his Bachelor’s degree (2013-2017) in Material Science: Chemistry from University of CADI AYYAD, Faculty of Sciences Semlalia in Marrakech. His academic journey began with a Baccalaureate in Physical Sciences (2013) from Tassaout High School in Kelaat Sraghna. 🧪📚

RESEARCH INTERESTS

🌿 Dr. Badr-Eddine CHANNAB is a researcher in Materials Science and Environmental Chemistry. His thesis focuses on creating bio-based formulations with biopolymers, biomaterials, and nanomaterials like graphene oxide and cellulose nanocrystals. These materials are used for controlled-release fertilizers, coatings, and wastewater treatment, involving structural, thermal, and morphological characterization. Dr. CHANNAB specializes in synthesizing nanomaterials, biopolymer extraction, polymer nanocomposites, and surface chemistry. His research interests also include lignocellulosic biomass management and heterogeneous catalysis. Proficient in Arabic, French, and English, he employs techniques like FTIR, NMR, Raman, and SEM. 🌍🔬

COMMUNICATION

Dr. Badr-Eddine CHANNAB has actively contributed to the scientific community through several notable oral communications. He presented at the Atlantic Basin Conference on Chemistry 2022 in Morocco and the International Congress of Industry, Environment & Health in 2021. His insights were also shared at the 3rd International AFRICAN CONFERENCE on Current Studies of Science, Technology & Social Sciences in Benin, the 3rd International ICONTECH symposium on innovative surveys in positive sciences, and the National Scientific Day on Renewable Energies in Morocco. Additionally, his poster communication on slow-release nitrogen fertilizer was showcased at the 3rd Day of Phosphates, Materials & Water in Morocco 🌍🎤🧪📊.

PROFESSIONAL EXPERIENCE

Dr. Badr-Eddine CHANNAB’s notable internships showcase his dedication to research and innovation. From October 2020 to January 2021, he interned at the Moroccan Foundation for Advanced Science, Innovation, and Research (MASCIR), where he extracted lignin and cellulose from sugarcane bagasse for membrane applications 🌱🔬. In early 2019, he completed his Master’s internship at the Membrane Materials and Environment Laboratory (LM2E), Morocco 🧪🏞️. Additionally, in August and September 2018, he interned at the Office Chérifien des Phosphates (OCP) in Benguerrir, working within the Laboratory of Chemical Analysis of Phosphates 🔍🧫.

TEACHING EXPERIENCE

🎓 Dr. Badr-Eddine CHANNAB has enriched students’ academic journeys with his extensive teaching and mentoring experience. At the Mohammedia Faculty of Science and Technology in Morocco, he taught the Inorganic Chemistry 1 module to second-year Biology, Chemistry, and Geology students. 📚 His commitment to student success extends to co-supervising final year internships for both bachelor’s and master’s degrees, guiding students through critical stages of their education. 🧪 Additionally, Dr. CHANNAB has instructed practical work for bachelor’s and master’s students, ensuring they gain hands-on experience in their field. 🌟

COMMUNICATION

Dr. Badr-Eddine CHANNAB has actively contributed to numerous conferences. He presented at the Atlantic Basin Conference on Chemistry 2022 and the International Congress of Industry, Environment & Health in Mohammedia, Morocco. His insights were also shared at the 3rd International AFRICAN CONFERENCE on Science, Technology & Social Sciences in Benin, the 3rd International ICONTECH symposium, and the National Scientific Day on Renewable Energies in Morocco. Dr. CHANNAB also showcased his research on urea-loaded hydroxyapatite-carboxylated cellulose slow-release nitrogen fertilizer at the 3rd Day of Phosphates, Materials & Water in Morocco. 📚🌍🧪🎤🔬

PUBLICATIONS TOP NOTES

A comprehensive review on starch: Structure, modification, and applications in slow/controlled-release fertilizers in agriculture

Starch-based controlled release fertilizers: a review

Alginate@ ZnCO 2 O 4 for efficient peroxymonosulfate activation towards effective rhodamine B degradation: optimization using response surface methodology

A Novel Approach to Prepare Cellulose-g-Hydroxyapatite Originated from Natural Sources as an Efficient Adsorbent for Heavy Metals: Batch Adsorption …

Recent trends on MIL-Fe Metal-Organic Frameworks: synthesis approaches, structural insights, and applications in organic pollutant adsorption and photocatalytic degradation: A …

An innovative diatomite-polypyrrole composite for highly efficient Cr (VI) removal through optimized adsorption via surface response methodology

Superabsorbent hydrogels based on natural polysaccharides: Classification, synthesis, physicochemical properties, and agronomic efficacy under abiotic stress conditions: A review

Nanocellulose: Structure, modification, biodegradation and applications in agriculture as slow/controlled release fertilizer, superabsorbent, and crop protection: A review

Recent advances in nano-fertilizers: synthesis, crop yield impact, and economic analysis

Urea-loaded hydroxyapatite–carboxylated cellulose composites as slow-release N fertilizer pellets for efficient delivery of nitrogen

Dr. Zulkaif Ahmed Saqib | Logistic Management | Best Researcher Award

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Dr. Zulkaif Ahmed Saqib | Logistic Management | Best Researcher Award 

Dr. Zulkaif Ahmed, Saqib, Postdoctoral Researcher, Shenzhen Technology University

Dr. Zulkaif Ahmed Saqib is a distinguished Postdoctoral Researcher at Shenzhen Technology University, specializing in Logistic Management. With a profound dedication to research, Dr. Saqib has made significant contributions to optimizing supply chain processes and improving operational efficiencies. His innovative approaches and commitment to excellence have earned him the prestigious Best Researcher Award. Dr. Saqib’s work not only advances academic knowledge but also has a substantial impact on industry practices, making him a leading figure in his field. 🏆📚🔍

Publication profile 📚

Education and Experience🎓🛠️ 

📚 Dr. Zulkaif Ahmed Saqib, since 2022, has been a postdoctoral researcher at Shenzhen Technology University, China. His research focuses on the impact of Internet of Things (IoT) facilities on logistics operations. 📦📡 From 2017 to 2021, he pursued a Ph.D. in Management Sciences and Economics at Shenzhen University, China. His dissertation explored Sustainable Supply Chain Management (SSCM), examining how supply chain visibility and sustainable practices affect the performance of small and medium-sized manufacturing enterprises. 🌱🏭 Dr. Saqib’s work contributes significantly to the fields of logistics and sustainable supply chains. 🌐✨

Fellowships/scholarships🌟

Dr. Zulkaif Ahmed Saqib is a distinguished researcher with a keen focus on business performance, supply chain management, sustainability, operational management, and digital technologies 🌍🔗📊. Currently holding a postdoc position funded by the Guangdong Provincial Government, he has also been a recipient of numerous scholarships and awards, including the Guangdong Outstanding International Student Scholarship in 2021 🏆🎓. His research impact is notable with H-Indices of 10 on Google Scholar and ResearchGate, and 7 on Publons 📈. Dr. Saqib also serves as a scientific reviewer for prestigious journals like Computers & Industrial Engineering and PLOS ONE 📰🔍.

Conference Participations🌐

Dr. Zulkaif Ahmed Saqib actively contributes to international conferences. In 2023, he presented at the Annual International Conference for Digital Intelligence Logistics and Supply Chain Management, showcasing his expertise in cutting-edge logistics. He also participated in the 15th International Conference on Service Systems and Service Management (ICSSSM) in 2018 and returned in 2019 for the 16th edition, sharing insights on service systems. His continuous engagement in these conferences highlights his commitment to advancing knowledge in logistics and service management. 🌐📦📈

Awards and Honors 🏆

 
Dr. Zulkaif Ahmed Saqib is a Postdoctoral Researcher at Shenzhen Technology University, China, specializing in Management and Economics. His research focuses on sustainable business practices and digital technologies. As a data analyst proficient in Structural Equation Modeling (SEM), he investigates the impact of IoT on logistics operations. Dr. Saqib is an esteemed reviewer for journals like Sustainability and PLOS ONE. He has been honored with several fellowships, including the Guangdong Outstanding International Student Scholarship. His significant contributions include numerous publications and conference participations.
Research Interest🧬

Dr. Zulkaif Ahmed Saqib is renowned for his exceptional contributions to business performances and supply chain management 🌟. His expertise spans sustainability and operational management, where he integrates innovative digital technologies 📈. Dr. Saqib’s research focuses on optimizing processes and enhancing efficiency, making significant strides in sustainable practices 🌍. His work in operational management has led to groundbreaking advancements, ensuring smoother and more effective business operations ⚙️. A dedicated scholar and reviewer, Dr. Saqib continuously pushes the boundaries of his field, impacting both academia and industry with his insights and innovations 📚.

Publication Top Notes📚

Physical activity is a medicine for non-communicable diseases: a survey study regarding the perception of physical activity impact on health wellbeing

The influence of COVID-19 pandemic on physical health–psychological health, physical activity, and overall well-being: the mediating role of emotional regulation

Education for sustainable development in Pakistani higher education institutions: An exploratory study of students’ and teachers’ perceptions

The psychological impacts of COVID-19 home confinement and physical activity: a structural equation model analysis

Impact of sustainable practices on sustainable performance: the moderating role of supply chain visibility

Fitness apps, live streaming workout classes, and virtual reality fitness for physical activity during the COVID-19 lockdown: an empirical study

Determinants of capital structure: An empirical analysis of fuel and energy sector of Pakistan

Strategic Sustainability and Operational Initiatives in Small-and Medium-Sized Manufacturers: An Empirical Analysis

The Association between COVID-19 Preventive Strategies, Virtual Reality Exercise, Use of Fitness Apps, Physical and Psychological Health: Testing a Structural Equation …

Client Intentions and Buying Behavior with Regard of Dairy Products-Review

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

Mr. Wagner Martins dos Santos | Agricultural and Biological Sciences | Best Researcher Award

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Mr. Wagner Martins dos Santos | Agricultural and Biological Sciences | Best Researcher Award

PhD student, Universidade Federal Rural de Pernambuco, Brazil

Mr. Wagner Martins dos Santos, a PhD student at Universidade Federal Rural de Pernambuco in Brazil, has been honored with the Best Researcher Award in Agricultural and Biological Sciences. 🌟 His outstanding contributions to the field have set a new benchmark in research excellence. 📚 His innovative work and dedication are instrumental in advancing agricultural and biological sciences, reflecting the high standards of his institution. 🌱 This prestigious recognition highlights his commitment to pushing the boundaries of scientific knowledge and his significant impact on the academic community. 🏆 Congratulations to Mr. Santos for this remarkable achievement! 🎉

Profile

Orcid

Education

Mr. Wagner Martins earned his Doctorate in Soil and Water Conservation (2023) from the Universidade Federal Rural de Pernambuco (UFRPE) in Recife, Brazil, under the guidance of Abelardo Antonio de Assunção Montenegro, with a scholarship from CAPES 🇧🇷. He also holds a Master’s degree (2021-2023) from UFRPE, where he researched vegetation indices for estimating productive parameters in agroforestry systems in the Caatinga biome 🌱, supervised by Evaristo Jorge Oliveira de Souza and José Carlos Batista Dubeux Júnior, supported by FACEPE 🎓. He completed his undergraduate studies (2015-2021) at UFRPE, focusing on the spatial variability of chemical attributes in a Haplic Cambisol 🌾, advised by Prof. Dr. Alan Cesar Bezerra. Additionally, he has undertaken several short-term and continuing education courses 🧑‍🎓, including one from the University of Michigan on Python programming 🐍.

Professional Experience

Mr. Wagner Martins, a graduate in Agronomy (2021) from the Universidade Federal Rural de Pernambuco (UFRPE), has practical experience in agronomy, focusing on salinity, semi-arid regions, Arduino technology, micronutrients, and electrical conductivity 🌾💧. He held a position as a PIC scholarship holder at UFRPE (2019-2020), working 20 hours weekly on a full-time and exclusive basis 📚. Previously, he was a PIBIC scholarship holder at UFRPE (2017-2018), also working 20 hours weekly full-time 🔬. His diverse research experience highlights his commitment to addressing critical agricultural challenges in semi-arid environments.

Areas of Expertise

Mr. Wagner Martins specializes in Agronomy within the broader field of Agricultural Sciences 🌾. He graduated from the Universidade Federal Rural de Pernambuco (UFRPE) in 2021, where he developed expertise in areas such as salinity, semi-arid regions, Arduino technology, micronutrients, and electrical conductivity 📚🔬. He has held scholarship positions at UFRPE, including PIC (2019-2020) and PIBIC (2017-2018), both involving 20 hours of weekly work full-time. His research is aimed at addressing key agricultural challenges, particularly in semi-arid environments, showcasing his dedication to advancing agronomic science 🌱.

Awards

Mr. Wagner Martins was honored with a commendation from the Brazilian Society of Agrometeorology in 2017 🏅. He specializes in Agronomy within the broad field of Agricultural Sciences 🌾, having graduated from the Universidade Federal Rural de Pernambuco (UFRPE) in 2021 📚. His expertise includes salinity, semi-arid regions, Arduino technology, micronutrients, and electrical conductivity 🔬. Wagner has held scholarship positions at UFRPE, including PIC (2019-2020) and PIBIC (2017-2018), both involving 20 hours of weekly full-time work. His dedication to addressing key agricultural challenges, particularly in semi-arid environments, is evident through his research and academic achievements 🌱.

Technical Production

Mr. Wagner Martins dos Santos developed two software programs in 2022: regr.easy and TopSisWM 💻. These tools are designed to facilitate regression modeling and multi-criteria decision-making. regr.easy simplifies the creation of linear, quadratic, and cubic regression models, making it easier for researchers and students to analyze data 📊. TopSisWM implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, aiding in decision-making processes by evaluating multiple criteria 📈. Wagner’s contributions to software development demonstrate his commitment to advancing practical tools in the field of agronomy and beyond 🌾🔬.

Publications Top Notes

“Can Unmanned Aerial Vehicle Images Be Used to Estimate Forage Production Parameters in Agroforestry Systems in the Caatinga?”

Published in: Applied Sciences 🌾

“Can GPS monitoring help farmers select the best nutritional management strategy for finishing sheep on pasture?”

Published in: Livestock Science 🐑

N-fixation efficiency by rhizobacteria native to the semi-arid region

Published in: Revista Ibero-Americana de Ciências Ambientais 🌿

“Indicators of biological efficiency, competitive ability and economic benefit of sustainable forage production systems: A review”

Published in: Revista Brasileira de Geografia Física