Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award

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Mr. Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award 

Lecturer, University of South Africa, South Africa

Kgaogelo Edwin Ramatsetse is a dedicated lecturer and food science researcher at the University of South Africa (UNISA), specializing in food safety and functional meat product innovation. With a passion for advancing nutritional science, he explores the use of indigenous African crops like Bambara groundnut and Moringa oleifera to enhance meat quality and public health outcomes. His interdisciplinary approach integrates food microbiology, product development, and preservation technologies. Recognized as the Best Graduand in Food Science and Technology at the University of Venda, Ramatsetse continues to mentor students, collaborate with research teams, and publish impactful scientific articles that contribute to both academic advancement and industry transformation.

Professional Profile

Google Scholar

🎓 Education

Ramatsetse holds a Master of Science (MSc) in Food Science and Technology from the University of Venda. His academic training focused on bioprocessing, nutritional analysis, quality assurance, and food preservation. This solid foundation has guided his professional path as an educator and researcher.

💼 Experience

Ramatsetse’s career journey spans academia, government research, and the private sector. He served as a Research and Innovation Intern at the University of Venda, a Laboratory Assistant, and later interned at the Agricultural Research Council. He also gained industry exposure at Cavalier Foods. Currently, as a lecturer at UNISA, he leads research initiatives, mentors undergraduate and postgraduate students, and contributes to academic development through publications and conferences.

🔬 Research Interests

His primary research interests include food safety, meat science, nutritional enhancement through functional ingredients, and the valorization of underutilized crops. He is particularly interested in the microbiological safety of meat products and how plant-based fortification can improve shelf life, sensory attributes, and health benefits. Ramatsetse is also developing a PhD proposal focusing on meat safety, microbial hazards, and regulatory frameworks.

📚Publications Top Notes

“Effects of Adding Moringa oleifera Leaves Powder on the Nutritional Properties, Lipid Oxidation and Microbial Growth in Ground Beef during Cold Storage”
Authors: Mashau ME, Ramatsetse KE, Ramashia SE
Journal: Applied Sciences, Vol. 11(7), Article 2944 (2021)
Citations: 44
Summary: This experimental study demonstrated that incorporating Moringa oleifera powder into ground beef significantly improved its antioxidant stability, delayed lipid oxidation, and inhibited microbial growth during refrigeration. The findings support the use of natural plant additives for extending the shelf life and enhancing the nutritional profile of meat products.

“A Review on Health Benefits, Antimicrobial and Antioxidant Properties of Bambara Groundnut (Vigna subterranea)”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: International Journal of Food Properties, Vol. 26(1), pp. 91–107 (2023)
Citations: 39
Summary: This comprehensive review compiled existing research on the health-promoting properties of Bambara groundnut, highlighting its high protein content, bioactive compounds, and potential as a sustainable functional ingredient. The paper emphasized its antioxidant and antimicrobial capabilities, encouraging its use in food systems, especially meat formulations.

“Impact of Industrial Revolutions on Food Machinery – An Overview”
Authors: Jideani AIO, Mutshinyani AP, Maluleke NP, Mafukata ZP, Sithole MV, et al. (incl. Ramatsetse KE)
Journal: Journal of Food Research, Vol. 9(5), pp. 42–52 (2020)
Citations: 27
Summary: This article reviewed the evolution of food processing machinery across industrial revolutions, discussing advancements in automation, digitalization, and intelligent systems. Ramatsetse’s contribution helped assess how modern machinery can improve food safety, quality, and efficiency in production.

“The Incorporation of Moringa oleifera Leaves Powder in Mutton Patties: Influence on Nutritional Value, Technological Quality, and Sensory Acceptability”
Authors: Khomola GT, Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Open Agriculture, Vol. 6(1), pp. 738–748 (2021)
Citations: 10
Summary: This study assessed the effects of adding Moringa leaf powder to mutton patties. It showed improvements in protein and fiber content, while enhancing water-holding capacity and maintaining consumer acceptability. The research validates the role of Moringa in creating healthier, functional meat products.

“Effect of Partial Mutton Meat Substitution with Bambara Groundnut (Vigna subterranea (L.) Verdc.) Flour on Physicochemical Properties, Lipid Oxidation, and Sensory Attributes”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Food Science & Nutrition, Vol. 12(6), pp. 4019–4037 (2024)
Citations: 6
Summary: This recent article explored replacing mutton with Bambara groundnut flour in patties. The results showed improved moisture retention and antioxidant capacity, while reducing saturated fat content. It also maintained favorable taste and texture, supporting plant-based meat innovation.

🏅 Conclusion

Kgaogelo Edwin Ramatsetse is a promising researcher whose academic achievements and published work are already contributing to food safety, public health, and sustainable innovation in meat science. His research addresses timely challenges in nutrition and food preservation, using African resources to find global solutions. With a total of 8 journal publications, a citation index of 4, and several high-impact articles, he continues to expand his influence in both academic and applied food science. His commitment to student mentorship, multidisciplinary collaboration, and research dissemination makes him a strong candidate for the Best Researcher Award.

Umar Islam | Computer Science | Best Researcher Award

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Mr. Umar Islam | Computer Science | Best Researcher Award

Senior Lecturer, IQRA National University Swat Campus, Pakistan

Mr. Umar Islam is a passionate and accomplished educator and researcher in the field of Computer Science, currently serving as a Lecturer at Iqra National University (INU) Swat Campus, Pakistan. With an impressive academic background spanning 18 years in Computer Science, Mr. Islam has become a recognized expert in AI, machine learning, blockchain security, IoT, bioinformatics, and financial analytics. His work has been published in over 15 research articles, including several in top-tier journals. A dedicated researcher, he focuses on real-time AI solutions, particularly in healthcare and cybersecurity. Mr. Islam is also a committed mentor, providing supervision and guidance to students in advanced topics such as Python programming, machine learning, and AI applications. His contributions to the academic community and his research endeavors demonstrate his commitment to pushing the boundaries of knowledge and solving real-world problems.

Profile

Education

Mr. Umar Islam has an extensive academic journey, earning 18 years of education in Computer Science. His academic path began with a Bachelor’s degree in Computer Science, followed by a Master’s degree, where he built the foundation of his knowledge in various aspects of computing. Mr. Islam’s thirst for knowledge and his passion for research led him to pursue advanced studies in areas like AI, machine learning, IoT, and cybersecurity, with a strong focus on applying these technologies to solve real-world challenges. His educational journey has equipped him with the skills to lead cutting-edge research projects and to innovate in fields like bioinformatics and financial analytics. Currently, he is working toward a PhD, which will further deepen his understanding and expertise in these areas. Through his education, Mr. Islam has gained a comprehensive understanding of theoretical and applied Computer Science, which he integrates into both his teaching and research.

Experience

With six years of teaching experience at the higher education level, Mr. Umar Islam has played a pivotal role in shaping the future of numerous students at Iqra National University (INU) Swat Campus. As a lecturer, he has delivered comprehensive lessons in Computer Science topics such as AI, machine learning, and cybersecurity. His commitment to academic excellence is reflected in his success as a supervisor, guiding students through complex topics like Python programming, e-learning analytics, and AI-driven applications. In addition to teaching, Mr. Islam has gained four years of extensive research experience, with a focus on AI applications in healthcare, cybersecurity, and blockchain security. He has led multiple research projects, producing groundbreaking results, and has contributed significantly to the academic community with over 15 published research articles. His academic experience extends beyond teaching, positioning him as a thought leader in his field.

Research Focus

Mr. Umar Islam’s research is deeply focused on the intersection of artificial intelligence (AI), cybersecurity, healthcare, and financial analytics. One of his key research areas includes AI-driven solutions in healthcare, particularly the development of federated learning-based intrusion detection systems and epileptic seizure prediction models. He is also actively exploring AI in cybersecurity, specifically in blockchain security, to mitigate data tampering risks. His work in financial analytics uses AI and machine learning to predict market trends, including cryptocurrency values, demonstrating his interdisciplinary approach to solving real-world problems. In addition to these topics, Mr. Islam is involved in pioneering research in IoT security and bioinformatics. His research aims to address key global challenges such as healthcare delivery, data security, and economic stability through cutting-edge AI applications. His innovative contributions to various fields have resulted in multiple published articles in prestigious journals, demonstrating the far-reaching impact of his work.

Publication Top Notes

  • Detection of distributed denial of service (DDoS) attacks in IoT-based monitoring system of banking sector using machine learning models 🌐🔐📊
  • IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms 🤖📱💡
  • Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications ☁️💻🛡️
  • Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks 🏥🧠📸
  • A novel anomaly detection system on the internet of railways using extended neural networks 🚆🔍⚙️
  • NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics 🧠💓📈
  • An intelligent approach for preserving the privacy and security of a smart home based on IoT using LogitBoost techniques 🏠🔐💡
  • Enhancing Economic Stability with Innovative Crude Oil Price Prediction and Policy Uncertainty Mitigation in USD Energy Stock Markets 💰📊📉
  • Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data 💾🔎👨‍💻
  • Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model ⛓️💹🔮

 

 

 

Yen-Liang Chen | deep learning | Best Researcher Award

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Prof. Dr. Yen-Liang Chen | deep learning | Best Researcher Award

Chair Professor, National Central University, Taiwan

Professor Yan-Liang Chen is a distinguished Chair Professor in the Department of Information Management at National Central University, Taiwan. He holds a Ph.D. in Information Science from National Tsing Hua University. With over four decades of academic experience, Professor Chen has led several significant projects, advancing the understanding of e-commerce systems, data analytics, and machine learning. His interdisciplinary research focuses on integrating business systems with information technology to drive digital transformation. In addition to his academic responsibilities, he has served as an advisor to the Ministry of Science and Technology and as Editor-in-Chief for renowned journals like the Journal of Electronic Commerce Research. Professor Chen has been recognized globally for his impactful work, making substantial contributions to the field of data analysis, decision support systems, and business intelligence.

Profile:

Scopus

Education:

Professor Yan-Liang Chen earned his Ph.D. in Information Science from National Tsing Hua University, one of Taiwan’s top academic institutions. His educational foundation in Information Science provided the perfect platform for his future research endeavors in e-commerce systems, data analysis, and machine learning. The focus of his doctoral research laid the groundwork for his long-standing contributions to various critical areas such as decision support systems, business intelligence, and sentiment analysis. His academic journey has continuously pushed the boundaries of knowledge, driving advancements in both the theoretical and practical aspects of information management. This foundation, alongside years of extensive teaching and research, has established Professor Chen as a leader in his field, shaping the next generation of scholars and professionals in e-commerce and data analytics.

Experience:

Professor Yan-Liang Chen has a rich academic career that spans over 40 years at National Central University in Taiwan. He began his tenure in 1978 as an Associate Professor, eventually rising to the position of Chair Professor in the Department of Information Management. From 2004 to 2007, he served as the Director of the Department of Information Management and was also the Director of the University Library from 2009 to 2011. Throughout his career, Professor Chen has led numerous research projects and has significantly contributed to the development of Taiwan’s academic and technological landscape. He has also held key advisory roles in various government bodies, such as the Ministry of Science and Technology and National Science Council, helping shape policies on information technology and e-commerce. His extensive leadership roles have made him a prominent figure in both academic and professional spheres.

Awards and Honors:

Professor Yan-Liang Chen has received numerous prestigious awards throughout his career. Notably, he has been honored with the Ministry of Science and Technology Distinguished Research Award in both 2003 and 2009, recognizing his groundbreaking contributions to e-commerce and information technology. In 2015, he was awarded the National Science Council Academic Award for his sustained excellence in research. From 2018 to 2024, he was named a Merit MOST Research Fellow, and in 2024, he received the esteemed MOST Distinguished Special Research Fellow honor. His exceptional research output has earned him a spot in the Global Top 2% Scientist Lifetime and Annual Rankings (2020-2024). Professor Chen’s remarkable academic career and continued impact have been recognized globally, solidifying his reputation as one of the leading scientists in his field.

Research Focus:

Professor Yan-Liang Chen’s research focuses primarily on E-commerce Systems and the integration of information technology with business systems. His areas of expertise include data analysis, machine learning, business intelligence, decision support systems, and sentiment analysis. He is particularly interested in understanding and optimizing the dynamics of e-commerce logistics, consumer behavior, and personalized marketing strategies. His work on basket analysis, cross-selling, and customer purchase sequence analysis has significantly advanced the understanding of consumer purchasing patterns, which are crucial for targeted marketing and enhancing customer retention. Additionally, Professor Chen has worked on text mining and social network analysis, applying these techniques to improve recommendation systems and predictive analytics in the digital commerce environment. His interdisciplinary approach has allowed him to bridge the gap between information technology and practical business applications, leading to innovations in digital transformation.

Publications:

  1. A Novel Ensemble Model for Link Prediction in Social Network 🤖📱
  2. G-TransRec: A Transformer-Based Next-Item Recommendation With Time Prediction ⏳💡
  3. Using Personalized Next Session to Improve Session-Based Recommender Systems 🔄📊
  4. A Deep Recommendation Model Considering the Impact of Time and Individual Diversity ⏰🔍
  5. A Novel Virtual-Communicated Evolution Learning Recommendation 💻🧠
  6. A Deep Multi-Embedding Model for Mobile Application Recommendation 📱🔗
  7. New Information Search Model for Online Reviews with the Perspective of User Requirements 🌐🔍
  8. A Cross-Platform Recommendation System from Facebook to Instagram 📘📸
  9. Aspect-Based Sentiment Analysis with Component Focusing Multi-Head Co-Attention Networks 🧠💬
  10. An Ensemble Model for Link Prediction Based on Graph Embedding 🔗📉

Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

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Assoc. Prof. Dr. Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

Associate Professor, ALBAHA UNIVERSITY, Saudi Arabia

Saad Alqithami is an Associate Professor in the Department of Computer Science at Albaha University, Saudi Arabia. With a strong background in computer science, he completed his Ph.D. at Southern Illinois University, USA, in 2016. Alqithami has contributed significantly to the fields of social network analysis, AI, and healthcare technology, particularly in the context of Attention Deficit Hyperactivity Disorder (ADHD). His work also extends to network organizations and pandemic modeling. In addition to his teaching role, he has held leadership positions in various administrative capacities at Albaha University, including General Director of Scholarships and University Relations. Alqithami is also a reviewer and program committee member for several academic conferences, contributing to the academic community’s growth. His interdisciplinary approach and commitment to impactful research make him a notable figure in AI and computational science.

Profile

Education

Saad Alqithami holds a Ph.D. in Computer Science from Southern Illinois University, Carbondale, USA, which he completed in December 2016. Prior to that, he earned his Master’s degree in Computer Science from the same institution in August 2012. His foundational education began with a Bachelor’s degree in Computer Science from Taif University, Saudi Arabia, in July 2008. Throughout his academic journey, Alqithami focused on advanced computational intelligence, AI modeling, and networked systems. His doctoral research focused on network organizations and the use of computational models for complex systems. With a deep interest in both theoretical and applied computer science, Alqithami has consistently pursued research that bridges gaps between AI, healthcare, and social systems. His education has provided a robust foundation for his distinguished career in academia and research.

Experience

Dr. Saad Alqithami has over a decade of experience in academia, beginning as a Lecturer in 2015 at Albaha University in Saudi Arabia. He has progressed through various roles, becoming an Assistant Professor in 2017 and later an Associate Professor in 2022. Alqithami has also held significant leadership positions, including Head of the Department of Computer Information Systems and General Director of Scholarships and University Relations at Albaha University. His administrative expertise spans graduate studies, scientific research, and university relations. He has contributed to enhancing the university’s strategic initiatives, especially in research and development. Furthermore, Alqithami has actively engaged in international collaborations, providing expertise in social networks, machine learning, and computational intelligence. He has worked as a Social Networks Analyst and Programmer at Southern Illinois University, where he gained hands-on experience in social network modeling and data analysis, helping shape his interdisciplinary research approach.

Awards and Honors

Dr. Saad Alqithami’s academic journey has been marked by numerous accolades. He was nominated for an outstanding paper award at the 29th AAAI Conference on Artificial Intelligence. As a co-founder, he played a key role in the launch of the “Square-2: The Intelligent Consultant Agent” project, funded by King Abdulaziz City for Science and Technology (KACST). Alqithami also received research funding from Albaha University for two major projects: “Understanding Social Contagion and Viral Spreading of COVID-19” and “An Intelligent Cognitive Modeling for Enhancing the Behavior of Children with ADHD Using a Mixed Reality Environment.” Additionally, he has been honored as a Rosalind Member by the London Journals Press. His work has not only advanced computational intelligence but has also contributed significantly to social good, especially in healthcare and public health contexts, earning him recognition from both academic and scientific communities.

Research Focus

Dr. Saad Alqithami’s research primarily focuses on the application of artificial intelligence, machine learning, and computational models to real-world problems. His work spans several areas, including social network analysis, healthcare technology, and the development of innovative solutions for behavioral health issues like ADHD. Alqithami has contributed to the design of augmented reality environments for therapeutic interventions and has modeled pandemic dynamics in social networks using AI techniques. His interdisciplinary research is aimed at bridging the gap between AI-driven insights and practical applications, particularly in healthcare and networked systems. He is also keen on exploring the implications of social capital in network organizations and improving communication protocols in industrial systems. Alqithami’s work has led to significant publications in peer-reviewed journals and conferences, showcasing his contributions to advancing AI research, particularly its integration into healthcare and societal applications.

Publication Top Notes

  1. Smart Tree Health Assessment Model using Advanced Computer Vision Techniques 🌳📊
  2. A Serious-Gamification Blueprint Towards a Normalized Attention 🧠🎮
  3. Securing Industrial Communication with Software-Defined Networking 🔐🖧
  4. A Generic Encapsulation to Unravel Social Spreading of a Pandemic 🌍💉
  5. Towards Social Capital in a Network Organization 🌐💡
  6. An External Client-Based Approach for Extract Class Refactoring 🔄📚
  7. AR-Therapist: Design and Simulation of an AR-Game for ADHD Patients 🕹️👦
  8. Fluid Dynamics of a Pandemic in a Spatial Social Network 🌍💻
  9. Modeling an AR Serious Game to Increase Attention of ADHD Patients 🎮🧑‍⚕️
  10. Modeling an Augmented Reality Game to Enhance ADHD Behavior 🧠👾

 

 

Mathieu Chartier | Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Mathieu Chartier | Computer Science and Artificial Intelligence | Best Researcher Award

PhD student, Poitiers University, France 

Mathieu Chartier is a digital humanities researcher, educator, and web professional based in Buxerolles, France. With expertise in natural language processing (NLP) and information retrieval, he bridges technology and history. Mathieu is an independent consultant at Internet-Formation, specializing in digital training, web marketing, and development. A multilingual scholar, he holds a strong academic background in humanities and digital tools, delivering courses on SEO, AI, and digital communication. As a prolific author, Mathieu has written several books and articles about web technologies and marketing. His current PhD research focuses on improving historical data analysis using AI.

Profile

Orcid

Education

Mathieu Chartier earned a Research Master’s in Ancient and Medieval Archaeology (2008) and a Professional Master’s in Information and Communication, Web Editorial Specialization (2009) from Poitiers University. Currently, he is pursuing a PhD in Digital Humanities, focusing on improving information retrieval in historical research through advanced NLP and large language models. Over the years, Mathieu has also acquired certifications in Google Ads and Google Analytics, enhancing his expertise in digital marketing. His interdisciplinary education combines humanities, web technology, and artificial intelligence.

Experience

With a career spanning over 15 years, Mathieu Chartier has held several key roles in academia and industry. As a freelancer, he leads Internet-Formation, providing training in web marketing, SEO, and digital communication. He has been an adjunct lecturer at institutions like the University of Poitiers and Paris-Sorbonne, teaching digital skills, including web marketing, SEO/SEA, and AI. Mathieu has authored multiple books on SEO and Google Ads and has worked as a web editor for the CNED. He has a deep understanding of web technologies, programming, and digital marketing.

Research Focus

Mathieu Chartier’s research in Digital Humanities focuses on enhancing historical data retrieval using Natural Language Processing (NLP) and Large Language Models (LLM). His work aims to develop innovative methods for historical inquiry, applying cutting-edge AI techniques to optimize information retrieval in history. Mathieu’s interdisciplinary approach blends technology and history, making significant contributions to both fields. His current research project, HiBenchLLM, investigates how to benchmark historical inquiries using LLMs, pushing the boundaries of digital history and artificial intelligence.

Publications

  • HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models (2024) 📜🤖
  • Techniques de référencement web : audit et suivi SEO – 5th edition (2024) 📚💻
  • Google Ads : 60 fiches pour obtenir les certifications officielles (2022) 📘📈
  • Guide complet des réseaux sociaux (2013) 🌐📱
  • Le guide du référencement web (2013) 🔍🌍
  • Du bon usage des réseaux sociaux (BioContact n°313) 🗣️💬
  • Vie privée, l’enjeu du moment (BioContact n°272) 🔐📚
  • Media queries CSS3 pour le web mobile (Oracom, WebDesign magazine) 📱💻

ALEXANDRU-SILVIU | Artificial Intelligence Awards | Excellence in Research

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ALEXANDRU-SILVIU | Artificial Intelligence Awards | Excellence in Research

Goga Alexandru Silviu is a seasoned lawyer and entrepreneur based in Brașov, Romania, with over a decade of legal expertise. As the owner of Cabinet de Avocat Goga Alexandru Silviu since 2013, he specializes in corporate law, tax litigation, and labor law. Goga is also pursuing a PhD in Artificial Intelligence at Universitatea Transilvania, reflecting his commitment to integrating technology into legal practices. He has authored several publications, contributing to legal scholarship in Romania, particularly in criminal law and the implications of artificial intelligence. Known for his excellent communication and mentoring skills, he actively trains junior lawyers and students in the field. Goga’s diverse client base includes international organizations and prominent companies, showcasing his extensive professional network and trust in his legal services. 🌟

Profile

Google Scholar

Strengths for the Award

  1. Extensive Legal Experience: Goga Alexandru Silviu has over a decade of experience in various areas of law, including corporate law, labor law, and tax litigation. His extensive practice as a lawyer and owner of a legal cabinet demonstrates significant expertise.
  2. Diverse Clientele: His work with a range of important clients, including international foundations and companies, indicates a robust professional network and trust in his legal capabilities.
  3. Academic Contributions: His publications, particularly in criminal law and the advent of artificial intelligence, showcase a commitment to advancing legal scholarship. His books and articles have received citations, highlighting their relevance and impact in the field.
  4. Teaching and Mentorship: His role as an associate teaching assistant and mentor to junior lawyers and law students reflects his dedication to education and the development of future legal professionals.
  5. Multilingual Proficiency: Goga’s proficiency in multiple languages enhances his ability to engage with diverse clients and collaborate internationally, a valuable asset in today’s globalized legal environment.
  6. Research in Emerging Areas: His current PhD studies in artificial intelligence suggest a forward-thinking approach to law, preparing for the evolving intersection of technology and legal practice.

Areas for Improvement

  1. Research Focus: While Goga has published on various topics, narrowing his focus to a specific niche within law could enhance his expertise and recognition in that area.
  2. Networking Beyond Legal Circles: Engaging with interdisciplinary fields related to artificial intelligence, such as technology and ethics, could broaden his influence and collaboration opportunities.
  3. Public Speaking and Workshops: Developing skills in public speaking and leading workshops could increase his visibility and thought leadership within the legal community.
  4. Community Engagement: Expanding his outreach efforts within local communities, perhaps through pro bono work or legal education initiatives, could enhance his profile and commitment to social responsibility.

Education 

Goga Alexandru Silviu’s educational background is rooted in law, starting with a Bachelor’s degree from Transilvania University, where he graduated with distinction. He furthered his studies by obtaining a Master’s degree in European Law and Judicial Career, again achieving the prestigious “Summa Cum Laude” honor. He completed Initial Vocational Training for lawyers through INPPA, enhancing his practical legal skills. Additionally, he holds a CNFPA certificate as a communication specialist and has training in managing European Funds Projects. Currently, Goga is advancing his knowledge as a PhD student in Artificial Intelligence at Universitatea Transilvania, focusing on the intersection of technology and law. His dedication to continuous learning positions him at the forefront of modern legal practice. 📚

Experience 

With a robust career spanning over a decade, Goga Alexandru Silviu has built a diverse portfolio of legal expertise. Since December 2013, he has served as the owner and lawyer at Cabinet de Avocat Goga Alexandru Silviu, specializing in corporate law, tax litigation, and labor law. His clientele includes notable organizations such as the Prince of Wales Foundation in Romania and D-Play Sport, among others. Goga has also held significant roles in various companies, including Chief Executive Officer at Oil Trade Masters SRL and legal advisor at several firms across different sectors, including construction and marketing. His previous academic experience as an associate teaching assistant at Transilvania University underscores his commitment to education and mentoring the next generation of legal professionals. Goga’s extensive experience allows him to navigate complex legal landscapes effectively, making him a trusted advisor to his clients. ⚖️

Research Focus 

Goga Alexandru Silviu’s research focus centers on the evolving intersections of law and technology, particularly in the realm of artificial intelligence and its implications for legal practice. As a current PhD student at Universitatea Transilvania, he aims to explore how AI can reshape legal frameworks, enhance legal processes, and improve accessibility to legal resources. His prior publications address critical issues in criminal law, data protection, and the implications of AI on legal standards and practices. Through his research, Goga seeks to contribute to contemporary legal discourse and offer insights that can guide future legislation and policy-making in Romania and beyond. His commitment to exploring innovative solutions in law positions him as a forward-thinking legal scholar, dedicated to bridging traditional legal practices with modern technological advancements. 🔍

Publication Top Notes

  • New Criminal Laws of Romania (February 2014) 📖
  • Repere actuale din jurisprudenta Curtii Constitutionale a Romaniei (2012) 📚
  • Manualul Tanarului Consilier Juridic (2011) 📘
  • New Criminal Laws of Romania — Ten Years After (2024) 📅
  • Manualul Tanarului Avocat Stagiar sau un Altfel de OEPA (December 2023) 📑
  • The Advent of Artificial Intelligence (December 2023) 🌐
  • Trends Regarding Fines and Sanctions in Competition Law, Labor Law and Data Protection Law (2019) 📊
  • Teaching Law Students via Online—Challenges and Opportunities (2021) 💻
  • Unconstitutionality of the New Criminal and Penitentiary Laws (2016) ⚖️
  • Exclusion of a Member of a Political Party: Unconstitutional Provisions of the Law on Political Parties (2015) 🗳️
  • Recent Considerations on the Institution of Probation (2013) ⏳
  • Notes and Proposals Regarding the Changes and Amendments to the Romanian Constitution (2013) 📜

Conclusion

Goga Alexandru Silviu demonstrates a strong profile for the Research for Excellence in Research award, with his extensive legal experience, diverse publications, and commitment to education. By focusing on specific areas of expertise and enhancing his public engagement, he can further solidify his standing in the legal community and contribute meaningfully to the evolving field of law.

 

 

SAM MICHAEL ESPINOZA VIDAURRE | Artificial intelligence | Best Researcher Award

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Dr SAM MICHAEL ESPINOZA VIDAURRE | Artificial intelligence | Best Researcher Award

Doctor, Graduate School of the Private University of Tacna, Peru

Sam Michael Espinoza Vidaurre is a distinguished Doctor in Administration and a Master in Business Administration. He currently serves as a Renacyt research professor at the Universidad Privada de Tacna, where he teaches in doctoral and master’s programs. His professional background encompasses business administration and international business, complemented by his role as a trainer. He is also the coordinator of the University Social Responsibility Unit and has expertise in quality assurance audits, holding certifications in ISO standards. With a commitment to academic excellence, he advises undergraduate and postgraduate theses, fostering research and innovation.

Profile

Orcid

Strengths for the Award

  1. Extensive Academic Background: Dr. Espinoza Vidaurre holds dual doctoral degrees and a master’s degree, showcasing his deep commitment to academic excellence in administration.
  2. Diverse Teaching Experience: He has taught across various programs, including doctoral and master’s levels, at multiple universities. His role as a mentor for thesis research further demonstrates his dedication to student development.
  3. Research Contributions: His published work covers critical topics such as knowledge management, project management in the mining sector, and the effects of COVID-19 on educational quality. This breadth of research highlights his versatility and relevance in current academic discussions.
  4. Leadership in Research and Quality Assurance: As the coordinator of the Unit of Social Responsibility and with experience in quality assurance audits, he plays a significant role in promoting ethical and quality standards in academic research.
  5. Recognition and Certifications: His certifications in ISO standards and his involvement in numerous conferences as a speaker indicate his expertise and recognition in the field.
  6. Multilingual Proficiency: Proficiency in English and Portuguese enhances his ability to collaborate internationally and disseminate research findings widely.

Areas for Improvement

  1. Broader Collaboration: While he has a strong foundation in local research, expanding collaborative projects with international researchers could enhance the impact of his work.
  2. Increased Publication Output: While he has a solid number of publications, focusing on publishing in high-impact journals could further elevate his academic profile.
  3. Engagement with Emerging Technologies: As digital transformation continues to shape the business landscape, incorporating more research on digital tools and methodologies could strengthen his contributions to modern administration.

Education

Sam holds a Doctorate in Administration and a Master’s in Business Administration from the Escuela de Postgrado de la Universidad Privada de Tacna. He earned his Bachelor’s degree in Administration and International Business from Universidad Alas Peruanas, alongside a Bachelor’s in Tourism and Hospitality from Universidad San Martin de Porres. His academic journey reflects a strong foundation in management and international business principles, preparing him for his current role in higher education. He continually seeks to enhance his expertise through various courses and seminars, focusing on quality management and research methodologies, which are critical for his teaching and research endeavors.

Experience

Sam has extensive teaching experience at the Universidad Privada de Tacna, where he is involved in various programs across multiple faculties, including Business Administration and International Business. His roles include teaching in the School of Postgraduate Studies and advising theses at both undergraduate and postgraduate levels. He has also provided external consultancy for businesses like Arica Inmobiliaria & Constructora and Comercial Consorcio Nikoc EIRL. His previous involvement with Universidad Alas Peruanas further enriched his expertise in education and administration. Additionally, he has contributed to various training programs and has participated in numerous seminars and international conferences, emphasizing his dedication to continuous professional development.

Research Focus

Sam’s research interests encompass knowledge management, organizational culture, technological capital, and scientific production. He actively investigates the impact of educational technologies on learning, particularly in English language acquisition, and explores the critical success factors in project management within Peru’s mining sector. His recent work has focused on the implications of artificial intelligence for academic integrity and quality in higher education. As a coordinator of the University Social Responsibility Unit, he integrates social considerations into his research, aiming to contribute to sustainable development in academia. His commitment to research is evidenced by his involvement in multiple publications, reflecting a multidisciplinary approach to addressing contemporary challenges in administration and education.

Publication Top Notes

📖 Perceptions of Artificial Intelligence and Its Impact on Academic Integrity among University Students in Peru and Chile: An Approach to Sustainable Education
📖 Chapter 2: Perceptions of Artificial Intelligence in Peruvian university students in 2024
📖 Efficacy of the Flipped Classroom Model on Students at Jorge Basadre Grohmann National University of Tacna in English Learning
📖 Use of Educational Videos in Higher Education to Improve the Teaching-Learning Process: Systematic Analysis
📖 Innovation and Digital Transformation in the Company
📖 Safety, occupational health and work performance of staff in a public project during the COVID-19 period
📖 Critical Success Factors in Project Management in the Mining Sector of Peru, 2022
📖 COVID-19 and Its Effects on the Management of the Basic Quality Conditions in Universities of Peru, 2022
📖 Understanding Factors That Influence Pest Risk in Olive Production

Conclusion

Dr. Sam Michael Espinoza Vidaurre exemplifies the qualities of a strong candidate for the Best Researcher Award through his extensive academic credentials, impactful research, and commitment to quality education. His leadership roles and diverse teaching experiences further underscore his potential to influence the field of administration significantly. Addressing the areas for improvement could enhance his already impressive profile, making him an even more formidable force in academia.

 

Tuhin Subhra De | Artificial Intelligence Awards | Young Scientist Award

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Mr Tuhin Subhra De | Artificial Intelligence Awards | Young Scientist Award

Mr Tuhin Subhra De, Indian Institute of Technology Kharagpur, India

Tuhin Subhra De is a dual-degree student at the Indian Institute of Technology Kharagpur, specializing in Civil and Environmental Engineering with minors in Mathematics and Computing, and Artificial Intelligence Applications. With a CGPA of 8.7/10.0, Tuhin has demonstrated his prowess in both academics and research. He has gained significant experience as a Deep Learning Research Intern at IIT KGP’s Center for Excellence in AI, where he worked on improving text generation quality using advanced models. Tuhin has also completed internships in Data Science and Machine Learning at prominent organizations like Udaan.com and Deakin University, focusing on predictive modeling and knowledge distillation. His research work has led to multiple publications in esteemed journals and conferences. Outside academics, Tuhin is active in mentoring and social work, contributing to the welfare of underprivileged communities and participating in various sports events.

Publication Profile

Google scholar

Strengths for the Award

  • Academic Excellence: Tuhin Subhra De has demonstrated strong academic performance with a CGPA of 8.7/10.0 from a prestigious institution like IIT Kharagpur, where he completed a dual degree in Civil and Environmental Engineering with minors in Mathematics, Computing, and AI.
  • Research Experience: He has extensive research experience, notably working as a Deep Learning Research Intern at the Center for Excellence in AI, IIT KGP. His work includes complex topics like Hierarchical Variational Autoencoders and diffusion-based models, showcasing his deep understanding and innovation in AI and machine learning.
  • Publications: Tuhin has multiple publications, including articles in respected journals and conferences. These publications reflect his ability to contribute valuable research to the field of AI and machine learning, which aligns well with the award’s focus on young researchers.
  • Technical Skills: His proficiency in various programming languages, tools, and libraries, combined with his experience in implementing complex models, indicates his strong technical foundation, crucial for cutting-edge research.

Areas for Improvement

  • Broader Impact: While Tuhin’s research is technically strong, he could focus on expanding the practical applications and societal impact of his work. Demonstrating how his research can solve real-world problems or benefit specific industries could strengthen his candidacy.
  • Leadership and Collaboration: Although Tuhin has mentored students and participated in team projects, further leadership roles or collaborative research endeavors could enhance his profile. Engaging in interdisciplinary projects or leading a research team could be beneficial.
  • Diversity of Experience: Tuhin’s experience is heavily concentrated in AI and machine learning. Diversifying his research portfolio by exploring related fields or integrating his AI expertise into other disciplines might provide a more well-rounded profile.

Education 

Tuhin Subhra De is currently pursuing a dual degree (B.Tech. and M.Tech.) in Civil and Environmental Engineering from the prestigious Indian Institute of Technology Kharagpur (IIT KGP), where he has maintained an impressive CGPA of 8.7/10.0. His academic journey at IIT KGP includes minors in Mathematics and Computing, and Artificial Intelligence Applications, reflecting his diverse interests and technical proficiency. Tuhin’s coursework encompasses a wide array of subjects, including Artificial Intelligence, Machine Learning, Deep Learning, Big Data Processing, and Secure AI/ML, providing him with a solid foundation in cutting-edge technologies. His strong background in Statistics, Probability, Linear Algebra, and Time Series Modeling further complements his technical expertise. Tuhin’s educational achievements are underscored by his active participation in prestigious competitive exams and Olympiads, where he ranked among the top percentile. His education at IIT KGP has equipped him with the skills and knowledge to excel in both academic and professional pursuits.

Experience  

Tuhin Subhra De has accumulated a wealth of experience through various internships and research roles. At the Center for Excellence in AI at IIT KGP, he is currently a Deep Learning Research Intern, focusing on improving text generation quality using diffusion and energy-based models. During his internship at Udaan.com, Tuhin successfully increased the customer order conversion rate by implementing predictive buying methods and advanced machine learning techniques, which led to a significant improvement in business outcomes. His role as a Machine Learning Research Intern at Deakin University involved applying knowledge distillation to enhance the performance of heterogeneous ML models, demonstrating his ability to innovate in complex environments. Tuhin’s early experiences also include an internship at the Indian Institute of Management Mumbai, where he developed methods to optimize profit in cargo acceptance, combining operations research with machine learning. His hands-on experience across various domains underscores his versatility and technical acumen.

Research Focus  

Tuhin Subhra De’s research focus lies at the intersection of artificial intelligence, machine learning, and data science, with a particular emphasis on deep learning models and their applications. His current research at the Center for Excellence in AI, IIT KGP, involves enhancing the quality of text generation using advanced models like Hierarchical Variational Autoencoders, diffusion models, and energy-based frameworks. Tuhin is also exploring the contrast in learning processes between different AI models, aiming to address challenges such as decoder collapse in generative tasks. His past research at Deakin University centered on knowledge distillation, where he worked on improving the accuracy of machine learning models by transferring knowledge between heterogeneous networks. Additionally, Tuhin’s work at Udaan.com involved developing predictive models that significantly boosted customer order conversion rates. His research is driven by a passion for solving real-world problems through innovative AI and ML techniques, making significant contributions to the field.

Publication Top Notes

A non-linear Lasso and explainable LSTM approach for estimating tail risk interconnectedness

A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce

Prediction of Turn Around Time using Neural Networks – A Case Study of Shipping Port 

Conclusion

Tuhin Subhra De is a strong candidate for the Research for Young Scientist Award, given his academic excellence, significant research contributions, and technical expertise. To further enhance his application, he could focus on demonstrating the broader impact of his research, seeking leadership opportunities, and diversifying his experience. Overall, his profile is highly competitive for the award, reflecting his potential as a promising young scientist in the field of AI and machine learning.

 

 

Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

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Prof Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Prof Zdzislaw Kowalczuk , Gdansk University of Technology , Poland

Zdzisław Kowalczuk, Senior Member of IEEE, has been a Full Professor in automatic control and robotics at Gdańsk University of Technology since 1978. He has held visiting positions at University of Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University. His research interests include robotics, control theory, AI, and system diagnostics. Kowalczuk has authored 30 books, over 120 journal papers, and 350+ conference publications, with over 3,300 Google Scholar citations and an H-index of 21. He is President of the Polish Consultants Society and founder of PWNT publishing house, receiving numerous awards, including the SEP Medal in 2014. 🎓📚🏅

 

Publication profile 

Google scholar

Academic Background 🎓

Zdzisław Kowalczuk (Senior Member, IEEE) has been with the Faculty of Electronics, Telecomm., and Informatics at Gdańsk University of Technology since 1978. He is a Full Professor in automatic control and robotics and the Chair of the Dept. of Robotics and Decision Systems. He has held visiting appointments at universities including Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University.

Scientific Contributions 

His main scientific interests include robotics, control theory, system modeling, diagnostics, artificial intelligence, and control engineering. Kowalczuk has authored/co-authored about 30 books, over 120 journal papers, and over 350 conference publications. His Google Scholar citation index exceeds 3,300, with an H-index of 21.

Research Focus

Zdzisław Kowalczuk’s research focuses on several key areas within engineering and computer science. His primary interests include fault diagnosis and detection, particularly for automotive engines, and the development of intelligent systems for autonomous decision-making. He also explores system modeling and control theory, including the application of artificial intelligence and neural networks. Kowalczuk’s work extends to robotics, adaptive systems, and signal processing, with a notable focus on practical applications like leak detection in pipelines and thermal management in buildings. His contributions span theoretical foundations to real-world implementations, demonstrating a versatile and impactful research portfolio. 🚗🤖📊🔧

 

Publication Top Notes

Fault diagnicial intelligence, applications – J Korbicz, JM Koscielny, Z Kowalczuk, W Cholewa, Springer Science & Business Media, 2012, cited by 1064 📚osis: models, artif

Diagnostyka procesów: modele: metody sztucznej inteligencji: zastosowania – J Korbicz, JM Kościelny, Z Kowalczuk, W Cholewa, Wydawnictwa Naukowo-Techniczne, 2002, cited by 345 📘

Model based diagnosis for automotive engines-algorithm development and testing on a production vehicle – J Gerler, M Costin, X Fang, Z Kowalczuk, M Kunwer, R Monajemy, IEEE Transactions on Control Systems Technology, 1995, cited by 148 🚗

Thermal Barrier as a technique of indirect heating and cooling for residential buildings – M Krzaczek, Z Kowalczuk, Energy and Buildings, 2011, cited by 107 🏠

Model-based on-board fault detection and diagnosis for automotive engines – JJ Gertler, M Costin, X Fang, R Hira, Z Kowalczuk, Q Luo, Control Engineering Practice, 1993, cited by 100 🚗

Autonomous driver based on an intelligent system of decision-making – M Czubenko, Z Kowalczuk, A Ordys, Cognitive computation, 2015, cited by 98 🚘

Discrete approximation of continuous-time systems: a survey – Z Kowalczuk, IEE Proceedings G (Circuits, Devices and Systems), 1993, cited by 84 📈

Computational approaches to modeling artificial emotion–an overview of the proposed solutions – Z Kowalczuk, M Czubenko, Frontiers in Robotics and AI, 2016, cited by 75 🤖

Continuous-time approaches to identification of continuous-time systems – Z Kowalczuk, J Kozłowski, Automatica, 2000, cited by 49 ⏱️

Intelligent decision-making system for autonomous robots – Z Kowalczuk, M Czubenko, Uniwersytet Zielonogórski, 2011, cited by 38 🤖

Detecting and locating leaks in transmission pipelines – Z Kowalczuk, K Gunawickrama, Fault Diagnosis: Models, Artificial Intelligence, Applications, 2004, cited by 36 🛠️📈