Bayan Rihawi | Technology | Best Researcher Award

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Ms. Bayan Rihawi | Technology | Best Researcher Award

Ms. Bayan Rihawi, Aleppo university, Syria

Ms. Bayan Rihawi is a highly motivated Quality Assurance Engineer and Compliance Specialist based in Sharjah, UAE. With expertise in ISO systems (ISO9001, ISO14001, ISO45001) across various industries, including food and pharmaceuticals, she has a strong track record of managing departments, conducting audits, and ensuring compliance. She holds a Master’s degree in Food Science and Technology from Aleppo University (2023) and has extensive experience as a Senior Nutritionist and QA Specialist. Bayan also co-founded Be First Group, focusing on GMP and ISO standards. She is skilled in statistical analysis and fluent in English and Arabic. 🌐🔍

 

Publication Profile

Orcid

Education & Qualifications 🎓📚

Ms. Bayan Rihawi holds a Bachelor’s Degree in Technical Engineering with a specialization in Food Science and Technology, earned in 2017 from Aleppo University. She further pursued her academic journey and completed a Master’s Degree in Food Science and Technology from the same institution in 2023. Throughout her studies, she gained in-depth knowledge of food safety, production processes, and quality assurance, which she later applied in her professional career. Her strong academic background supports her expertise in managing ISO systems, food safety standards, and quality assurance across various industries. 🌱🎓

 

Certifications & Specialized Training 🎓📜

Ms. Bayan Rihawi has earned a range of certifications to enhance her expertise in food science, quality management, and safety. She completed a Diploma in ISO Standard- Integrated Management System (IMS) and ISO 22000:2018 – Elements of Food Safety Management Systems from Alison Educational Platform. Additionally, she holds certifications in Thermal Processing of Foods, Six Sigma, Advanced Manufacturing Process Analysis, and Supply Chain Management from prestigious institutions like Sunny State University and KAIST. Bayan also completed specialized courses in Quality Management Systems (QMS), GMP, and Cosmetic Science from renowned platforms. 🌍📚

 

Research Focus

Ms. Bayan Rihawi’s research, “The Impact of ISO 22000:2018 on Food Facilities Performance with Multiple Production Lines,” focuses on the application of ISO 22000:2018, a food safety management system, in optimizing the performance of food facilities. Her work specifically explores how implementing this standard affects operational efficiency, quality control, and safety across facilities with multiple production lines. This research falls under Food Safety Management, Quality Assurance, and ISO Systems Implementation. It provides valuable insights for enhancing food production practices, ensuring compliance with global standards, and improving overall food facility performance. 🌐✅

 

Publication Top Notes  

  • “The impact of ISO 22000:2018 on food facilities performance with multiple production lines,” CyTA – Journal of Food, 2024, DOI: [10.1080/19476337.2024.2431281] 🍴📄
    Year of Publication: 2024 🗓️

Debajyoti Dhar | Computer Science | Best Researcher Award

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Mr. Debajyoti Dhar | Computer Science | Best Researcher Award

Mr. Debajyoti Dhar, Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior, India

Debajyoti Dhar is an ambitious B.Tech student with a CGPA of 7.67/10, specializing in Computer Science. He has honed his skills through impactful internships, including as a Software Development Engineer at Defence Research and Development Establishment and a Full Stack Developer at Edilitics Private Limited. Debajyoti has contributed to projects like a Decentralized FPS Game with NFT Marketplace and a Ticket Management Platform, showcasing his expertise in blockchain, cloud systems, and machine learning. He has co-authored IEEE conference papers and a journal paper, demonstrating his strong research capabilities. 💻📊🔗

 

Publication Profile

Orcid

Education Background

Debajyoti Dhar is currently pursuing a Bachelor of Technology in Computer Science at the Indian Institute of Information Technology and Management Gwalior. He started his academic journey in December 2021 and is expected to graduate in July 2025. With a CGPA of 7.67/10.00, Debajyoti has demonstrated a strong academic performance, excelling in his coursework. His education has equipped him with a solid foundation in computer science, preparing him for advanced projects and research in areas such as software development, machine learning, and blockchain technology. 📚💻🚀

 

Professional Experience

Debajyoti Dhar has gained valuable experience through multiple internships, showcasing his expertise in software development. At Defence Research and Development Establishment (Dec 2022–Oct 2023), he developed a heavy gas detection model in Java and created a 2D plotter in Python for data visualization. During his time at Edilitics Private Limited (Apr–Jun 2023), he built a robust backend using FastAPI and enhanced development efficiency with CI/CD pipelines and Docker. At Mak Design Private Limited (May–Jul 2024), he created a real-time chat module with Django and ReactJS, ensuring end-to-end encryption. 💻🔧🚀

 

Achievements

Debajyoti Dhar has demonstrated exceptional skills through various achievements. As a freelance developer for Metarootz, he built a full-stack blockchain social media project using NodeJS, ExpressJS, and MongoDB for the backend, and NextJS with TailwindCSS for the frontend. He delivered a comprehensive 5-day training bootcamp on web app deployment automation with Docker, Kubernetes, and Github Actions for industry professionals. Debajyoti has also co-authored two IEEE conference papers on computer vision and deep learning and contributed to a machine learning paper in MDPI Sensors journal. Additionally, he solved 300+ DSA questions on GFG and LeetCode. 📈💻📚

 

Research Focus

Mr. Debajyoti Dhar has contributed significantly to machine learning and optimization techniques, particularly in the context of environmental prediction. His recent work, “Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale”, published in Sensors, demonstrates his expertise in applying advanced algorithms to solve agricultural and environmental challenges. The research focuses on soil organic carbon prediction using machine learning models, emphasizing scalability and efficiency. This aligns with his broader focus on data science, AI-driven predictions, and sustainable technologies to address complex real-world problems in various domains. 🌍🤖📊

 

Publication Top Notes  

  • Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale (2024) 📚

Oussama Mounnan | Computer Science | Best Researcher Award

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Mr. Oussama Mounnan | Computer Science | Best Researcher Award

Mr. Oussama Mounnan, Paris 8 University, France

Based on the detailed information provided about Mr. Oussama Mounnan, he appears to be a strong candidate for the “Best Researcher Award” due to his extensive experience and achievements in the field of cybersecurity, deep learning, and biometric access control. Below is a summary of his qualifications and contributions:

Publication profile

Professional Experience

Mr. Mounnan has been working as a Security Engineer since October 2015 at Weberfly-group in Marrakech, Morocco. He is responsible for managing, administering, and configuring network security systems, including firewalls, routers, switches, and VPN access. His role also includes performing network traffic analysis, implementing security policies, conducting security audits, and managing incidents. Additionally, he has experience in ethical hacking and penetration testing using various tools. Previously, he co-founded OussamaWeb, where he focused on IT maintenance, web development, and application creation from 2007 to 2015.

Research and Academic Background

Mr. Mounnan is currently pursuing a PhD in Computer Science at Ibn Zohr University-Agadir, Morocco, in collaboration with Paris 8 University, France. His research focuses on speech recognition using deep learning for biometric access control, a field that intersects artificial intelligence and cybersecurity. He has previously conducted research at the Oscar laboratory of Cadi Ayyad University, where he designed and tested systems for access control within the context of Big Data.

Technical Skills and Certifications

He has a comprehensive skill set covering programming languages (HTML, C, Python, Java), network security, system administration, virtualization, and data management tools. His certifications include ITIL V4, Prince2 Foundation, and various cybersecurity and machine learning credentials from Google, Coursera, and Fortinet. These certifications underline his commitment to staying updated in the rapidly evolving fields of IT security and data science.

Education

Mr. Mounnan holds a Master’s degree in Services, System Security, and Networks from the University of Lorraine, France, and a Bachelor’s degree in Networks and Telecommunications from Université Littoral Côte d’Opale, France. He has also completed specialized training in software engineering and information systems.

Additional Skills and Interests

He is proficient in English, French, and German at an advanced level. His interests include swimming, martial arts, reading, music, and scientific research, reflecting a well-rounded personality committed to both personal and professional development.

Publication Top Notes

  • Privacy-aware and authentication based on blockchain with fault tolerance for IoT enabled fog computing 🌐🔐 | Cited by: 21 | Year: 2020
  • Decentralized access control infrastructure using blockchain for big data 📊🔗 | Cited by: 10 | Year: 2019
  • Using blockchain based authentication solution for the remote surgery in tactile internet 🏥🖥️ | Cited by: 5 | Year: 2021
  • Anomaly detection for big data security: a benchmark 🔍🔒 | Cited by: 3 | Year: 2021
  • Efficient Distributed Access Control using Blockchain for Big Data in Clouds ☁️📈 | Cited by: 3* | Year: 2019
  • A novel approach based on blockchain to enhance security with dynamic policy updating 🔄🔐 | Cited by: 1 | Year: 2020
  • A Review on Deep Anomaly Detection in Blockchain 📚🛡️  Year: 2024
  • Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control 🎤🧠  Year: 2023
  • Deep Learning-Based Speech Recognition System using Blockchain for Biometric Access Control 🧠🔗 Year: 2022
  • Towards a Privacy preserving Machine Learning based Access Control for the Internet of Things 🌐🤖  Year: 2022


Conclusion

Mr. Oussama Mounnan’s blend of practical experience, academic research, and extensive certifications make him a suitable candidate for the “Best Researcher Award.” His work in cybersecurity and deep learning, particularly in speech recognition for biometric access, highlights his significant contributions to these fields.

Daniso Beswa | Technology | Best Researcher Award

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Dr. Daniso Beswa | Technology | Best Researcher Award

Senior lecturer, UNIVERSITY OF JOHANNESBURG, South Africa

Daniso Beswa is a distinguished senior lecturer and researcher at the University of Johannesburg, South Africa. With a deep commitment to advancing food security and nutrition, Dr. Beswa brings a wealth of expertise in food technology and security to his role. 🌟

Publication Profile

Strengths for the Award:

  1. Extensive Research Contributions: Daniso Beswa has a robust portfolio of research in food science, particularly focusing on food security, indigenous food sources, and functional ingredients. His work on provitamin A-biofortified maize and the use of lesser-known local food sources highlights his commitment to addressing critical nutritional issues and advancing food science.
  2. High-Quality Publications: Beswa has a substantial number of peer-reviewed journal articles and book chapters, showcasing his research impact. His publications in respected journals such as Foods (Basel), Molecules, and the International Journal of Food Science reflect the quality and relevance of his work.
  3. Supervision and Mentoring: He has successfully supervised numerous postgraduate students, including PhD and MSc candidates. This demonstrates his role in fostering the next generation of researchers and his ability to guide and mentor emerging scientists.
  4. Community Engagement: Beswa’s involvement in community projects, such as the Gwakwani Extended Projects and teaching at local schools, indicates his commitment to applying his research in practical, community-centered contexts.
  5. Professional Development and Teaching: His ongoing professional development and extensive teaching experience in food science and technology further support his expertise and contribution to the field.

Areas for Improvement:

  1. Broader Impact and Outreach: While Beswa’s research is focused and impactful, increasing outreach efforts and translating his findings into policy recommendations or broader public awareness could enhance the societal impact of his work.
  2. Grant Funding and Collaborations: Securing more substantial research grants and fostering international collaborations could elevate the scope and scale of his research projects, leading to potentially groundbreaking advancements in food technology and security.
  3. Diversification of Research Topics: Expanding research into new and emerging areas of food science, such as sustainable food systems or innovative food processing technologies, could further enhance his research profile.

Conclusion:

Daniso Beswa is a highly deserving candidate for the Best Researcher Award. His extensive contributions to food science and technology, significant research output, successful supervision of postgraduate students, and community engagement underscore his exceptional qualifications. Addressing areas for improvement, such as expanding outreach and securing more research funding, could further enhance his already impressive impact in the field.

 

Education:

Dr. Beswa earned his PhD in Food Security from the University of KwaZulu-Natal, where his research centered on provitamin A-biofortified maize and its role in combating vitamin A deficiency. He also holds a Master’s in Food Technology from the University of Johannesburg, focusing on innovative uses of composite flours in breadmaking. 🎓

Experience:

As a senior lecturer at the University of Johannesburg, Dr. Beswa has conducted significant research into indigenous and lesser-known food sources as functional food ingredients. His work aims to enhance food security and nutritional quality through practical applications and innovative solutions. 📚

Research Focus:

Dr. Beswa’s current research explores the potential of indigenous and less commonly used local food sources as functional ingredients, investigating their health benefits and applications in food technology. His past research has also delved into the use of biofortified maize and composite flours. 🔬

Awards:

Dr. Beswa has been recognized for his contributions to food security and technology, although specific awards are not listed, his work is highly regarded in the field for its impact on addressing global nutritional challenges. 🏆

Publications

  1. Effect of Cowpea and Pumpkin Powders on the Physicofunctional Properties, Total Phenolic Content, Antioxidant Activity, and Consumer Acceptability of Soup
    International Journal of Food Science
    2024-01
  2. Effect of Common Cooking and Drying Methods on Phytochemical and Antioxidant Properties of Corchorus olitorius Identified Using Liquid Chromatography-Mass Spectrometry (LC-MS)
    Molecules
    2022-12-19
  3. Cannabis sativa Cannabinoids as Functional Ingredients in Snack Foods—Historical and Developmental Aspects
    Plants
    2022-12-01
  4. Prospective Role of Indigenous Leafy Vegetables as Functional Food Ingredients
    Molecules
    2022-11-18
  5. Quantification of Oil Fractions of Deep-Fried Wheat Dough and Batter Enriched with Oat and Wheat Bran
    Journal of Food Quality