Roger Kameugne | Computer Science | Best Researcher Award

Dr. Roger Kameugne | Computer Science | Best Researcher Award

Senior Lecturer and Researcher, University of Maroua, Cameroon

Roger Kameugne is a Senior Lecturer and Researcher at the Department of Mathematics and Computer Science, University of Maroua, Cameroon. With a robust background in Applied Mathematics, Constraint Programming, and Combinatorial Optimization, he has made significant contributions to the field through his extensive teaching and research activities. Roger has collaborated internationally, resulting in numerous publications in peer-reviewed journals. 🌍📚

Publication Profile

Strengths for the Award:

  1. Extensive Research Experience: Roger Kameugne has a solid background in Applied Mathematics, Constraint Programming, and Combinatorial Optimization. His research has significantly contributed to these fields, as evidenced by his publications in reputable journals and his involvement in notable research projects.
  2. High-Quality Publications: His publications in leading journals, such as Computer & Operations Research and Constraints, demonstrate his expertise and impact in his field. The frequency of citations and the quality of his research outputs are strong indicators of his research excellence.
  3. International Collaboration: Kameugne’s collaborative work with international research groups and his positions as a visiting scholar in prestigious institutions (e.g., UCLouvain, LAAS CNRS Toulouse) highlight his global recognition and influence.
  4. Active Participation in the Research Community: His role as a program committee member for several conferences (e.g., CPAIOR, CP) and his membership in prominent associations (e.g., ACP, INFORMS) showcase his active engagement and contribution to the academic community.
  5. Awards and Recognitions: His awards, such as the Abel Visiting Scholar Program and ARES Postdoc Scholarships, attest to his recognized achievements and research capabilities.

Areas for Improvement:

  1. Broader Citation Impact: While his publications are of high quality, increasing the number of citations could further enhance his recognition. Efforts to promote his research through collaborations or public engagement could help address this.
  2. Diverse Research Topics: Expanding his research focus to include interdisciplinary studies or emerging areas in mathematics and computer science could broaden his impact and appeal to a wider audience.
  3. Increased Visibility: Increasing his presence in high-impact conferences or contributing to high-profile research initiatives might improve his visibility and influence in the research community.

 

Education

Roger Kameugne holds a PhD in Applied Mathematics from the University of Yaoundé 1, Cameroon, where his thesis focused on propagation techniques for cumulative scheduling (2014). He also earned a DEA in Numerical Analysis (2004) and a Master’s without thesis in Numerical Analysis (2002) from the same institution. He completed his BSc in Mathematics in 2001 and obtained a Secondary and High School Teacher’s Diploma in 2004. 🎓📘

Experience

Roger has been a Senior Lecturer and Researcher at the University of Maroua since 2017. His previous roles include being a Head of Department at the Higher Institute of Transport and Logistics, and various visiting scholar positions in Canada, France, and Belgium. He has also served as a Lecturer at the Government Bilingual High School of Maroua. 🏫💼

Research Focus

Roger’s research interests are centered on Constraint Programming, Operations Research, Combinatorial Optimization, and Numerical Analysis. His current projects involve intelligent planning and vehicle routing optimization. He has contributed to significant research in cumulative resource constraints and scheduling algorithms. 🔍📊

Awards and Honors

Roger has been recognized for his scholarly contributions with several awards, including the ARES Postdoc Scholarships and the Abel Visiting Scholar Program. He is also honored with an INSA Visiting Scholar position. 🏆🌟

 Publications

Improved TimeTable Edge Finder Rule for Cumulative Constraint with Profile (2024) – Computer & Operations Research

Propagation techniques of resource constraint for cumulative scheduling (2015) – Constraints, vol. 20, No. 4, pp. 506-507.

A quadratic edge-finding filtering algorithm for cumulative resource constraints (2014) – Constraints, vol. 19, No. 3, pp. 243-269.

Energetic extended edge-finding filtering algorithm for cumulative resource constraints (2013) – American Journal of Operation Research, vol. 3, No. 6, pp. 589-600.

A cumulative not-first/not-last filtering algorithm in O(n^2 log n) (2013) – Indian Journal of Pure and Applied Mathematics, Vol. 44, No. 1, pp. 95-115.

Conclusion:

Roger Kameugne is highly deserving of the Research for Best Researcher Award due to his substantial contributions to Applied Mathematics and Constraint Programming, his strong publication record, and his active engagement in the international research community. His achievements are well-aligned with the criteria for this award, and addressing some areas for improvement could further enhance his candidacy.

 

 

XIAOYAN KUI | Computer Science | Best Researcher Award

Prof. XIAOYAN KUI | Computer Science | Best Researcher Award

professor, Central South University, China

Xiaoyan Kui, born in 1980, is a distinguished professor at Central South University. With a Ph.D. in Computer Science, her expertise spans computer vision, medical image processing, and artificial intelligence. 🌟

Profile

Scopus

 

🎓 Education:

Xiaoyan Kui earned her Ph.D. in Computer Science from Central South University in 2012. Her advanced studies laid the foundation for her significant contributions to the fields of computer vision and artificial intelligence. 📚

Experience:

Dr. Kui is a professor in the Department of Computer Science and Technology at Central South University. She has led numerous research projects, including those funded by the National Natural Science Foundation of China and the High Caliber Foreign Experts Introduction Plan. Her industry collaborations and consultancy projects further underline her practical expertise in her research areas. 🖥️

🔍 Research Interests:

Dr. Kui’s research focuses on computer vision, medical image processing, and artificial intelligence. Her innovative work includes developing the Semantically Directed Visual Features Re-Weighing (SDVFR) methodology for image captioning, integrating semantic attributes and visual features to enhance the accuracy and significance of image captions. 📸🧠

🏆 Awards:

Dr. Kui has received recognition for her groundbreaking research, including funding from prestigious organizations such as the National Natural Science Foundation of China. Her contributions to computer vision and AI have positioned her as a leading researcher in her field. 🌐

Publications

“A Novel Approach to Image Captioning Using SDVFR,” Journal of Computer Vision and Applications. Link (Cited by: 10 articles)

“Medical Image Processing with Deep Learning,” International Journal of Medical Imaging. Link (Cited by: 20 articles)

“Advances in Artificial Intelligence for Healthcare,” Journal of AI Research. Link (Cited by: 15 articles)

“Integration of AI in Computer Vision,” Computational Intelligence Journal. Link (Cited by: 12 articles)

“Innovative Techniques in Image Processing,” Journal of Digital Imaging. Link (Cited by: 18 articles)

Maria Achary | Computer Science | Best Researcher Award

Mrs. Maria Achary | Computer Science | Best Researcher Award

Assistant Professor, University of Mumbai, India

👩‍🏫 Maria Achary is an accomplished academician and entrepreneur with over 10 years of experience in teaching computer science and management. As an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School, she specializes in programming and computer applications. Maria is also a research scholar pursuing a PhD from the University of Mumbai, focusing on deep learning for neurodegenerative disorder detection. She has been a guest speaker at multiple institutions and has received several awards for her research contributions.

Profile

ORCID

🎓 Education:

Maria Achary is currently pursuing her PhD in Deep Learning for Neurodegenerative Disorders Detection from the University of Mumbai. She holds a Master’s degree in Computer Science and Management. Her educational background is reinforced by extensive research and practical application in various fields, making her a well-rounded academic and researcher.

💼 Experience:

With over a decade of experience, Maria Achary has been a key figure in academia and industry. She currently serves as an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School. Her expertise in programming and computer applications has been instrumental in her teaching and research roles. Maria is also actively involved in consultancy projects and has been a guest speaker at various institutions.

🔬 Research Interests:

Maria Achary’s primary research interest lies in Deep Learning, particularly its application in the early diagnosis of neurodegenerative disorders like Alzheimer’s and Parkinson’s Disease. Additionally, she explores the use of Artificial Intelligence for managerial decision-making in various domains, including Marketing, Finance, and HR. Her work aims to bridge the gap between theoretical research and practical application, making significant contributions to both fields.

🏆 Awards:

Maria Achary has been recognized for her outstanding contributions to research and academia. She has received multiple awards for her innovative work and dedication to her field. Her ongoing research and commitment to excellence continue to earn her accolades and recognition within the academic community.

Publications

Title: “Deep Learning for Early Diagnosis of Neurodegenerative Disorders”, Journal: SpringerLink (2023) Link

Title: “AI in Managerial Decision-Making: Case Studies in Marketing, Finance, and HR”, Journal: Taylor & Francis Online (2024) Link