Rania Hamdani | Computer science | Best Researcher Award

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Mrs. Rania Hamdani | Computer science | Best Researcher Award

Mrs. Rania Hamdani, University of Luxembourg, Luxembourg

Rania Hamdani is a research scientist specializing in operational research, data management, and cloud architecture for Industry 5.0. Based in Luxembourg, she is currently affiliated with the University of Luxembourg, where she explores advanced methodologies for integrating and managing heterogeneous data sources. She holds an engineering degree in Software Engineering and has extensive experience in software development, AI, and DevOps. Rania has worked on multiple industry and academic projects, publishing three research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI. With a strong background in programming, cloud computing, and AI-driven solutions, she has contributed to platforms ranging from job recommendation systems to adaptive human-computer interaction systems. Her expertise includes Python, SpringBoot, Kubernetes, and Azure DevOps. She is also an active member of IEEE and other technical organizations, promoting innovation and knowledge-sharing in AI and cloud technologies. 🌍💻🔬

Publication Profile

Orcid

🎓 Education

Rania Hamdani holds an Engineering Degree in Software Engineering from the National Higher School of Engineers of Tunis (2021–2024), where she specialized in advanced design, service-oriented architecture, object-oriented programming, database management, and operational research. Prior to this, she completed a two-year preparatory cycle at the Preparatory Institute for Engineering Studies of Tunis (2019–2021), undertaking intensive coursework in mathematics, physics, and technology to prepare for engineering studies. She also earned a Mathematics-specialized Baccalaureate from Pioneer High School Bourguiba Tunis (2015–2019), graduating with honors. Throughout her academic journey, she gained expertise in artificial intelligence, machine learning, cloud computing, and DevOps methodologies. Her education provided a solid foundation in programming languages, data processing techniques, and full-stack development. Additionally, she holds multiple Microsoft certifications in Azure fundamentals, AI, data security, and compliance, reinforcing her expertise in cloud-based solutions and AI-driven applications. 📚🎓💡

💼 Experience

Rania Hamdani is a research scientist at the University of Luxembourg, where she focuses on integrating and managing heterogeneous data sources for cloud-based decision-making. Previously, she was a research intern at the same institution, contributing to Ontology-Driven Knowledge Management and Cloud-Edge AI, with three published papers. She also worked as a part-time software engineer at CareerBoosts in Quebec (2021–2025), specializing in Python, Azure DevOps, Docker, and test automation. She gained industry experience through internships at Qodexia (Paris), Sagemcom (Tunisia), and Tunisie Telecom, working on smart recruitment platforms, employee management systems, and server monitoring solutions using SpringBoot, Angular, and PostgreSQL. Her technical expertise spans full-stack development, DevOps, AI-driven applications, and cloud computing. She has contributed to major projects, including an adaptive human-computer interaction system, a job recommendation system, and a problem-solving platform, demonstrating her versatility in research and software engineering. 🚀🖥️🔍

🏆 Awards & Honors

Rania Hamdani has been recognized for her outstanding contributions to AI-driven cloud computing and operational research. She received excellence awards during her engineering studies at the National Higher School of Engineers of Tunis and was among the top-performing students in her Mathematics-specialized Baccalaureate. Her research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI have been acknowledged in academic circles, contributing to the advancement of Industry 5.0 technologies. She has also earned multiple Microsoft certifications in cloud and AI fundamentals, reinforcing her technical expertise. As an active member of IEEE and the Youth and Science Association, she has been involved in technology outreach and innovation-driven initiatives. Her leadership in ENSIT Junior Enterprise as a project manager further showcases her ability to lead and contribute to tech communities. These recognitions highlight her dedication to research, software development, and cloud-based AI applications. 🏅📜🌟

🔬 Research Focus

Rania Hamdani’s research focuses on operational research, data management, cloud-edge AI, and Industry 5.0 applications. She specializes in ontology-driven knowledge management, exploring methodologies for integrating heterogeneous data sources to optimize cloud-based decision-making processes. Her work includes artificial intelligence, machine learning, reinforcement learning, and human-computer interaction systems. She has contributed to projects involving job recommendation systems, adaptive human-computer interaction platforms, and cloud-based problem-solving platforms. Rania is particularly interested in scalable cloud architectures, leveraging technologies like FastAPI, Kubernetes, Docker, and Azure DevOps to build efficient AI-powered solutions. Her research also integrates graph databases, Apache Airflow, and big data analytics for enhanced data processing. By combining AI and cloud computing, she aims to develop innovative, data-driven solutions for automation, decision support, and optimization in various industrial applications. Her expertise bridges the gap between theoretical research and real-world software engineering. ☁️🤖📊

 

Publication Top Notes

Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation

 

Ravinesh Chand | Robotics | Best Researcher Award

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Mr. Ravinesh Chand | Robotics | Best Researcher Award

Lecturer at Fiji National University, Fiji

Mr. Ravinesh Chand is a dedicated Lecturer in Mathematics with over 21 years of teaching experience in Fiji’s academic and secondary education sectors. He has taught students from diverse backgrounds and is highly skilled in delivering engaging lessons, fostering an interactive learning environment, and conducting research in applied mathematics. Currently pursuing a PhD in Mathematics at the University of the South Pacific (USP), his expertise spans digital signature schemes, mathematical problem-solving, and curriculum development. He has held leadership roles as Head of Department at multiple institutions, contributing to academic excellence. Passionate about student success, he emphasizes innovative teaching methods and collaborative learning. As a researcher, he is committed to generating new knowledge in mathematics. His contributions extend beyond teaching, as he actively mentors students and supports extracurricular activities like soccer coaching. His work is marked by precision, analytical thinking, and a commitment to excellence.

Publication Profile

Scopus

 Orcid

 Google Scholar

Education 🎓📚

Mr. Ravinesh Chand is pursuing a PhD in Mathematics at the University of the South Pacific (USP), focusing on advanced mathematical research. He holds a Master of Science in Mathematics from USP, where he completed a thesis on “Digital Signature Scheme Over Lattices” under the supervision of Dr. M.G.M. Khan and Dr. Maheswara Rao Valluri. He earned a Postgraduate Diploma in Applied Mathematics from USP in 2013, further strengthening his expertise in mathematical modeling and cryptographic systems. His academic foundation was laid with a Bachelor of Education in Mathematics from USP in 2001, equipping him with strong pedagogical skills and mathematical proficiency. Throughout his educational journey, he has demonstrated a commitment to academic excellence, research, and innovative problem-solving. His education has been instrumental in shaping his career as a lecturer and researcher, allowing him to contribute meaningfully to the field of applied mathematics and mathematical education.

Experience 📖👨‍🏫

Mr. Ravinesh Chand has served as a Lecturer in Mathematics at Fiji National University since 2015. Previously, he held leadership roles as Head of the Mathematics and Physics Department at Dudley High School (2014-2015), Suva Grammar School (2013-2014), and Assemblies of God High School (2007-2013). His teaching career began at Waidina Secondary School (2002-2006) as an Acting Head of Department and Mathematics & Physics teacher. Throughout his career, he has led curriculum planning, student engagement, and performance evaluations while mentoring both students and teachers. As a leader, he ensured high-quality teaching standards, facilitated staff development, and implemented intervention strategies for student success. He has also promoted extracurricular activities, including coaching school soccer teams. His extensive experience in academia and secondary education showcases his expertise in mathematical instruction, research, and academic leadership, significantly impacting student learning and institutional development.

Awards and Honors 🏆🎖️

Mr. Ravinesh Chand has been recognized for his outstanding contributions to mathematics education and research. His commitment to academic excellence earned him accolades from Fiji’s leading educational institutions. As Head of Department, he received multiple commendations for his leadership in improving student performance in mathematics and physics. His research on digital signature schemes and applied mathematics has been acknowledged in academic circles, leading to invitations to present his work at conferences. His dedication to mentorship and student development has also been honored through appreciation awards from schools and tertiary institutions. In addition, his extracurricular involvement as a soccer coach has been recognized for fostering teamwork and discipline among students. His excellence in curriculum development, innovative teaching methods, and mathematical research continues to be celebrated, reinforcing his reputation as a distinguished educator and scholar in Fiji’s academic community.

Research Focus 🔬📊

Mr. Ravinesh Chand’s research primarily focuses on applied mathematics, digital signature schemes, cryptography, and mathematical modeling. His Master’s thesis explored “Digital Signature Scheme Over Lattices,” contributing to secure cryptographic protocols. His work involves analyzing the efficiency of mathematical structures in cybersecurity, aiming to enhance encryption techniques. His doctoral research further delves into computational mathematics and algorithmic problem-solving. His academic interests extend to mathematical pedagogy, exploring innovative methods to enhance student learning. His research integrates theoretical mathematics with practical applications, addressing real-world challenges in data security and computational modeling. Through independent studies and collaborative projects, he seeks to advance the understanding of mathematical frameworks in digital security. His contributions to applied mathematics continue to shape the academic discourse on cryptographic systems, making a lasting impact on both research and education in mathematics.

Publication Top Notes

  • Linear manipulator: Motion control of an n-link robotic arm mounted on a mobile slider – 📖 Heliyon 9 (1), Cited by: 17, Year: 2023
  • Switch controllers of an n-link revolute manipulator with a prismatic end-effector for landmark navigation – 🤖 PeerJ Computer Science 8, e885, Cited by: 16, Year: 2022
  • Navigation of an n-link revolute robotic arm via hierarchal landmarks – 🗺️ NILES Conference, Cited by: 10, Year: 2021
  • Lyapunov-based controllers of an n-link prismatic robot arm – 🏗️ IEEE Asia-Pacific Conference, Cited by: 9, Year: 2021
  • A car-like mobile manipulator with an n-link prismatic arm – 🚗 IEEE Asia-Pacific Conference, Cited by: 9, Year: 2021
  • Embedded FPGA-based motion planning and control of a dual-arm car-like robot – 🔧 IEEE SPEC Conference, Cited by: 8, Year: 2022
  • LbCS navigation controllers of twining Lagrangian swarm individuals – 🐝 NILES Conference, Cited by: 8, Year: 2021
  • Digital signature scheme over lattices – 🔐 IEEE Circuits Conference, Cited by: 7, Year: 2021
  • Acceleration Feedback Controller Processor Design of a Segway – 🛴 IEEE SPEC Conference, Cited by: 5, Year: 2022
  • Vertically Sliding Revolute Robotic Arm intended for automated Pick-and-Place Industrial applications – 🏭 IEEE Asia-Pacific Conference, Cited by: 3, Year: 2022

Erika Loučanová | Digital Transformation | Best Researcher Award

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Assoc. Prof. Dr. Erika Loučanová | Digital Transformation | Best Researcher Award

Assoc. Prof., Technical Unversity in Zvolen, Slovakia

Assoc. Prof. Dr. Erika Loučanová is a researcher and educator specializing in innovation management and eco-innovation 🌱. She serves as an Associate Professor at the Technical University of Zvolen and has over two decades of experience in academia 📚. Holding a PhD in Sectoral and Cross-Sectional Economics, her work focuses on sustainable business strategies and industrial innovation. She has authored 320+ publications 📝 and contributed to major scientific projects.

Publication Profile

Orcid

🎓 Education & Academic Qualifications

Assoc. Prof. Dr. Erika Loučanová has a strong academic background in economics and business management 📚. In 2021, she attained the title of Associate Professor at the University of Žilina, specializing in Sectoral and Cross-Sectional Economics 📊. She earned her PhD (2007) from the Technical University of Zvolen, focusing on innovation in the woodworking industry 🏗️. Earlier, she completed her Engineering degree (2004) in Wood Engineering – Business Management 🏢. Her academic journey began at the Business Academy Žiar nad Hronom (1999), where she graduated with a strong foundation in business studies 💼.

 

🏆 Skills & Certifications

Assoc. Prof. Dr. Erika Loučanová possesses strong organizational, analytical, and communication skills 🗂️, honed through scientific projects, research management, and conference organization 🎤. She is proficient in digital tools 💻, including Microsoft Office, STATISTICA, and Adobe Acrobat Reader. Her work ethic is defined by reliability, flexibility, and leadership 🤝. She holds multiple certifications 📜, including Managing Innovation (2024, UNIDO, Austria), Business and Law (2022, Palacký University), and Tax Law (2023, Palacký University). Additionally, she has expertise in public health protection 🏥 and has undergone training in cluster management and bookkeeping 📊. Fluent in English, she actively engages in scientific collaboration 🌍.

Research Focus

Erika Loučanová’s research primarily focuses on eco-innovation, sustainable development, and business models for digital transformation and smart services. 🌱💡 Her work explores strategic environmental consumer segmentation, AI in innovation processes, and financial sustainability in pension systems. 📊🏡 She has contributed significantly to ecological innovation in Slovakia, including perceptions of wood-based structures and eco-services innovations in the furniture industry. 🏗️🌳 Additionally, she examines innovation in banking, management education, and public smart services for sustainability. 🏦🎓 Her research integrates economic, environmental, and technological perspectives, making substantial contributions to green business strategies and digital innovation. 🌍📈

Publication Top Notes

  • “Digital Transformation in Higher Education Institutions as a Driver of Social Oriented Innovations” (2022) – Cited by 3

  • “Innovation as a Tool for Sustainable Development in Small and Medium Size Enterprises in Slovakia” (2023) – Cited by 6

  • “The Perception of Respondents of Intelligent Packaging in Slovakia as Ecological Innovations” (2019) – Cited by 5

  • “Supporting Ecological Innovation as a Factor for Economic Development” (2019)

  • “Perception of packaging functions and the interest in intelligent and active packaging in terms of age” (2018)

  • Hodnotenie stavu udržateľnosti krajín EÚ (2022)  🌍♻️

  • Obchodné praktiky aplikované voči spotrebiteľom a ich právam na slovenskom trhu z pohľadu etiky (2022)  ⚖️🛒

  • Perception of Supplied Furniture and Its Innovation by Slovak Customers (2022)  🏠✨

  • The Relationship of Innovation and the Performance of Business Logistics in the EU (2022)  🚚📈

  • Crowdfunding as a Way of the Monetary and Financial Ecologies (2021)  💰🌱

  • Ecological Innovations in Services – Servitization of Furniture (2021) 🌳🛋️

  • Perception of Zero Waste in the Context of Environmental Innovation in Slovakia (2021) 🌿🚯

  • Positive Effects of the Forest on the Human Organism in the Context of Ecological Innovations and Modern Medicine (2021) 🌲❤️

  • Practices of Innovative Marketing Communication Tools in Furniture Sector (2021)  📢🪑

Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

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Dr. Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

Dr. Adnan Saifan, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences., China

Dr. Adnan Saifan is a PhD candidate in Mechanical Manufacturing and Automation at the University of Chinese Academy of Sciences, Beijing, China, and Ningbo Institute of Materials Technology and Engineering. His research focuses on robotic surface processing technologies, including ultrasonic multi-needle peen forming. He holds a Master’s in Mechanical Engineering from Hohai University, China, and a Bachelor’s from Sana’a University, Yemen. Dr. Saifan’s work is highly regarded, with several published papers in international journals and patents in the field of advanced manufacturing technologies. He is proficient in wear and corrosion analysis, additive manufacturing, and robotic systems.

Publication Profile

Google Scholar

Education & Qualifications 🎓

Dr. Adnan Saifan holds a PhD in Mechanical Manufacturing and Automation from the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology and Engineering, China (2021-2025), focusing on robotic ultrasonic multi-needle peen forming technology. He earned a Master of Engineering (MEng) in Mechanical Engineering from Hohai University, Nanjing, China (2018-2021), with a thesis on automatic welding systems for boiler tube wall cladding. Dr. Saifan also holds a BSc in Mechanical Engineering from Sana’a University, Yemen (2011-2016), and various diplomas in Chinese Language, Computer Skills, and English. 🌍📚

 

Work Experience & Projects 💼

Dr. Adnan Saifan is currently a Doctoral Researcher at the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology & Engineering (2021–Present), working on robotic ultrasonic shot peening for shape correction. Prior to this, he worked as a Mechanical Engineer at Suzhou Hailu Heavy Industry Co., Ltd., China (2019-2021), and as an intern at Mettler-Toledo, China (2019-2020), contributing to projects like the Saudi Arabia Railway Infrastructure. He also gained research experience at Hohai University (2018-2021), designing an automatic welding robot, and held various engineering roles in Yemen. 🛠️🚀

 

Honors & Awards 🏆

Dr. Adnan Saifan has received numerous honors for his outstanding academic and research achievements. In 2023, he was recognized as the Outstanding International Student at Ningbo Institute of Materials Technology and Engineering and won the Silver Award at the Ningbo Graduate Academic Festival. He also received Honor Certificates from the Ministry of Higher Education-Yemen and the Yemeni Student Union of China. Additional accolades include the 2022 Outstanding Volunteer Award from the University of Chinese Academy of Sciences, the ANSO Scholarship for Young Talents, and several other scholarships and awards for excellence in research and contributions. 🌟📚🎓

 

Research Interests 🔬

Dr. Adnan Saifan’s research interests focus on a wide range of topics within Mechanical Manufacturing and Automation, including Robotics, Additive Manufacturing, and Digital Twin technologies. His work also covers areas like Surface Mechanical Treatment, Material Processing, and Peen Forming, with a focus on Plastic Deformation and Welding. He is particularly interested in studying Wear and Mechanical Properties of materials, utilizing Finite Element (FE) Analysis and Optimization techniques. Additionally, Dr. Saifan applies Design of Experiment (DoE) methodologies to improve manufacturing processes and material performance. 🛠️🤖🔧

 

Publication Top Notes 📚

  1. “Influence of post-weld heat treatment on microstructure and toughness properties of 13MnNiMoR high strength low alloy steel weld joint” – Cited by: 5, Year: 2021
  2. “Development of an automatic welding system for the boiler tube walls weld overlay” – Cited by: 3, Year: 2020
  3. “Data-driven modeling and optimization of a robotized multi-needle ultrasonic peen-forming process for 2024-T3 aluminum alloy” – Cited by: 1, Year: 2024
  4. “Seam tracking control for weld cladding of boiler tubes in thermal power plants” – Cited by: 1, Year: 2024
  5. “Enhancing microstructure and mechanical performance of 6061-T4 aluminum alloy through robotic ultrasonic multi-needle peening” –  Year: 2024
  6. “Data-Driven Modelling of Robotized Ultrasonic Multi-Needle Peen-Forming Process on Aluminum Alloy 2024-T3” Year: 2024