Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

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Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm

Anran Xiao | Data Science and Analytics | Best Researcher Award

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Anran Xiao | Data Science and Analytics | Best Researcher Award

Ms Anran Xiao, Sichuan university, China

Ms. Anran Xiao’s impressive educational background, extensive research contributions, and notable achievements, she certainly stands out as a strong candidate for the Best Researcher Award. Here’s a breakdown of her qualifications and accomplishments that support this opinion:

Publication profile

google scholar

Educational Background 🎓

  • Ph.D. in Management Science and Engineering (09/2023-Present) from Sichuan University, China.
  • M.S. in Management Science and Engineering (09/2021-07/2023) from Sichuan University, China.
  • B.S. in Logistic Management and Engineering (09/2017-07/2021) from Chengdu University of Technology, China.

Research Interests 🔍

  • Decision Analysis
  • Energy Economy
  • Decision Support Systems
  • Data Mining

Research Contributions 📚

  • Published Papers: Ms. Xiao has co-authored several impactful publications in reputable journals, demonstrating her significant contribution to the field. Key papers include:
    • “Freshwater microplastics pollution: detecting and visualizing emerging trends based on Citespace II” in Chemosphere (2020).
    • “Deep learning in economics: a systematic and critical review” in Artificial Intelligence Review (2023).
    • “Emerging research trends of total quality management in the COVID-19 pandemic: a dynamic evolution analysis” in Economic Research-Ekonomska Istraživanja (2023).

Research Grants 💰

  • Active participant in several research grants, including:
    • Fundamental Research Funds for the Central Universities (2023-2024) focused on tourist destinations.
    • Philosophy and Social Science Research Foundation (2020-2021) for water security risk management.
    • Scientific Research Project of Sichuan Mineral Resources Research Center (2019-2021) on classified recycling.

Awards and Scholarships 🏆

  • Recipient of multiple prestigious awards and scholarships, showcasing her academic excellence:
    • Master’s National Scholarship (Top 0.2%) in October 2023.
    • Outstanding Graduate of Sichuan Province (Top 1%) in June 2021.
    • Numerous other national and university-level accolades for academic performance and contributions to student development.

Publication top notes

Freshwater microplastics pollution: detecting and visualizing emerging trends based on Citespace II

Deep learning in economics: a systematic and critical review

Emerging research trends of total quality management in the COVID-19 pandemic: a dynamic evolution analysis

Optimal day‐ahead coordination on wind‐pumped‐hydro system by using multiobjective multistage model

A two-stage EBM-based approach to evaluate operational performance of unattended convenience store

A comprehensive bibliometric analysis of big data in entrepreneurship research

Measuring short-and long-run impacts of COVID19 on the sharing economy and business models

Conclusion

Ms. Anran Xiao’s robust educational background, combined with her diverse research interests and contributions, position her as a leading candidate for the Best Researcher Award. Her proactive involvement in significant research projects, combined with her accolades, underscores her commitment to advancing knowledge in management science and engineering. 🏅✨

Edit Kovari | Quantitative Hypotheses | Best Researcher Award

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Edit Kovari | Quantitative Hypotheses | Best Researcher Award

Dr Edit Kovari, University of Pannonia, Hungary

Based on the detailed information provided, Dr. Edit Kővári appears highly suitable for the Best Researcher Award.

Publication profile

google scholar

Extensive Research and Innovation

Dr. Kővári has demonstrated significant research impact through her work on emotional intelligence, communication, FOMO, green attitude, and ecopsychology. Her recent research focuses on cultural attitudes, emotional intelligence, and the local attachment of university communities. Her involvement in high-impact projects such as the Greencool Erasmus+ project and the TINLAB Social Innovation Laboratory highlights her leadership and innovation in research.

Notable Achievements and Awards

She has received multiple awards, including the Attila Sebestyén Memorial Medal for her teaching and learning activities and recognition from the Veszprém European Capital of Culture 2023 campaign. Her role as the Hungarian coordinator of the International Emotional Intelligence Organisation and the development of the Well-being program at Pannon University of Pannonia further underscore her exceptional contributions.

Strong Academic and Professional Background

Dr. Kővári holds a Ph.D. from the University of Derby and has led various national and international research groups. Her publications in reputable journals, such as the European Management Journal and the Journal of Family Business Management, demonstrate her research excellence. Her H-index, citations, and impactful conference presentations add to her credentials.

Active Involvement in Professional Societies

Her active participation in numerous professional societies and academic service roles, such as the General Secretary of the University Network of European Capitals of Culture, reflects her commitment to advancing research and education.

Research Publications and Impact

Dr. Kővári has contributed significantly to research with publications examining social media strategies, online branding, emotional intelligence, and cultural consumption. The cumulative impact factor of her recent publications and the number of collaborative projects further validate her research prowess.

Conclusion

Dr. Edit Kővári’s comprehensive research portfolio, leadership in high-impact projects, notable awards, and active involvement in academic and professional communities position her as a strong candidate for the Best Researcher Award. Her contributions to emotional intelligence, green attitudes, and cultural studies showcase her excellence in research and innovation.

Research focus

The research focus of E. Kővári centers on the intersection of emotional intelligence, social media, and business performance. Their work examines how emotional intelligence influences management practices and knowledge sharing, particularly within procurement and organizational contexts. Kővári also explores the role of social media in shaping consumer behavior and online branding strategies for family businesses, with a focus on the wine industry and SME wineries. Their studies include analyses of online social presence and digital competencies among university students during the COVID-19 pandemic. 📊💡🍷📱

Publication top notes

How social media practices shape family business performance: the wine industry case study

Online branding strategies of family SME wineries: a Hungarian-German comparative study

University students’ online social presence and digital competencies in the COVID-19 virus situation

Emotional intelligence in procurement management

A Pannon Egyetem közösségének kultúrafogyasztása, az érzelmi és kulturális intelligencia összefüggése. Veszprém 2023 Európa Kulturális Fővárosa

Learning to learn: Beyond 2020

Don’t Worry, be Emotionally Intelligent: Hotel Functional Managers’ Trait Emotional Intelligence and its Relation to Task and Contextual Performance within Organisational …

Knowledge sharing relation to competence, emotional intelligence, and social media regarding generations

The impact of emotional intelligence on knowledge sharing behaviour

Közösségi média jelentősége a borfogyasztók körében

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

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Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. 📚🤖💻🌐

Publication profile

Orcid

Education

📚 From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. 🎓 Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. 📜 From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. 📖 Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. 🎓 Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. 🧠 Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

📘 From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. 🎓🔬

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. 🌍📚💻🎓

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudis’s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. 🌱🐟💻📊

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference

A Brief Survey of Sim2Real Methods for Robot Learning

E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis

Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application