Alain Bernard Djimeli Tsajio | Apprentissage Machine (IA) | Best Researcher Award

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Prof. Alain Bernard Djimeli Tsajio | Apprentissage Machine (IA) | Best Researcher Award

Senior lecturer at University of Dschang, Cameroon.

Prof. Alain Bernard Djimeli Tsajio is a physicist, AI researcher, and telecommunications expert specializing in computer vision, machine learning, and cybersecurity. He holds a Ph.D. in Electronics from the University of Dschang and has over 20 years of experience in academia and research. As a faculty member at IUT Fotso Victor, University of Dschang, he has significantly contributed to curriculum development, student mentorship, and applied research in artificial intelligence. His work has been published in high-impact journals, and he actively collaborates on international research projects in AI-driven diagnostics, wireless networks, and intelligent security systems.

Publication Profile

Orcid

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Educational Details

  • Ph.D. in Physics (Electronics), 2016 – University of Dschang, Cameroon

  • Diplôme d’Études Approfondies (DEA) in Physics (Electronics), 2005 – University of Yaoundé I, Cameroon

  • Maîtrise in Physics (Electronics), 2003 – University of Yaoundé I, Cameroon

  • Licence in Physics, 2000 – University of Yaoundé I, Cameroon

  • Baccalauréat C, 1995 – Lycée Classique de Bangangté, Cameroon

Professional Experience

Prof. Djimeli Tsajio is a Senior Lecturer and Researcher in Telecommunications and Networks at the IUT Fotso Victor, University of Dschang, Cameroon. Since 2005, he has been responsible for course coordination, student mentoring, and curriculum development. His teaching expertise covers a broad range of topics, including:

  • Multimedia Protocols and Quality of Service

  • Wireless Networks and Emerging Technologies

  • Cybersecurity and Artificial Intelligence

  • Information Theory and Cryptography

  • Telecommunication Protocols and High-Speed Networks

He has also served as an instructor at the CISCO Networking Academy, a guest lecturer at multiple universities, and a thesis advisor for Master’s and Ph.D. students in AI and Cybersecurity. His administrative contributions include student academic counseling, exam grading, and research program coordination.

Research Interest

  • Precision Agriculture (disease detection in plants)

  • Medical Diagnostics (breast cancer detection, leukocyte counting)

  • Network Security and Cybersecurity

  • AI-Based Intelligent Agents

Top Noted Publication

  • Solitons and other solutions of the nonlinear fractional Zoomeron equation

    • Authors: E. Tala-Tebue, Z. I. Djoufack, A. Djimeli-Tsajio, A. Kenfack-Jiotsa

    • Journal: Chinese Journal of Physics

    • Volume: 56 (3), Pages: 1232-1246

    • Year: 2018

    • Citations: 26

    • Summary: This paper presents soliton solutions and other exact solutions to the nonlinear fractional Zoomeron equation, leveraging advanced mathematical techniques in nonlinear wave dynamics and fractional calculus.

  • Improved detection and identification approach in tomato leaf disease using transformation and combination of transfer learning features

    • Authors: A. B. Djimeli-Tsajio, N. Thierry, L. T. Jean-Pierre, T. F. Kapche, P. Nagabhushan

    • Journal: Journal of Plant Diseases and Protection

    • Volume: 129 (3), Pages: 665-674

    • Year: 2022

    • Citations: 14

    • Summary: This study introduces an AI-based method for plant disease detection, utilizing transfer learning and feature transformation techniques to improve tomato leaf disease identification.

  • Quantum breathers associated with modulational instability in 1D ultracold boson in optical lattices involving next-nearest neighbor interactions

    • Authors: Z. I. Djoufack, E. Tala-Tebue, F. Fotsa-Ngaffo, A. B. Djimeli-Tsajio, F. Kapche-Tagne

    • Journal: Optik

    • Volume: 164, Pages: 575-589

    • Year: 2018

    • Citations: 13

    • Summary: This work explores quantum breathers and modulational instability in ultracold bosonic systems under optical lattice constraints, contributing to quantum physics and nonlinear dynamics.

  • Formalization method of the UML statechart by transformation toward Petri Nets

    • Authors: T. Noulamo, E. Tanyi, M. Nkenlifack, J. P. Lienou, A. Djimeli

    • Journal: IAENG International Journal of Computer Science

    • Volume: 45 (4), Pages: 32

    • Year: 2018

    • Citations: 8

    • Summary: This paper focuses on software modeling and verification, proposing a methodology for transforming UML statecharts into Petri Nets for improved formal verification of software systems.

  • Analysis of interest points of curvelet coefficients contributions of microscopic images and improvement of edges

    • Authors: A. Djimeli, D. Tchiotsop, R. Tchinda

    • Journal: arXiv preprint

    • Year: 2013

    • Citations: 8

    • Summary: This study investigates curvelet transform techniques for microscopic image analysis, improving edge detection in biological and medical imaging.

Conclusion

Prof. Alain Bernard Djimeli Tsajio is a strong candidate for the Best Researcher Award, given his significant contributions to AI, cybersecurity, and telecommunications. His work in AI-driven plant disease detection and medical diagnostics highlights both technical excellence and real-world impact. Strengthening his global presence, industry partnerships, and citation impact could further solidify his position as a leading researcher in his field.

 

Arti Singh | Machine learning | Best Researcher Award

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Mrs. Arti Singh | Machine learning | Best Researcher Award

Assistant Professor at DYPIEMR, India

Mrs. Arti Singh is an accomplished academician and researcher with a robust background in Computer Science, Artificial Intelligence, and Data Science. She is currently serving as an Assistant Professor at Dr. D Y Patil Institute of Engineering Management and Research. With a passion for teaching and research, her expertise lies in machine learning, sentiment analysis, data science, and computational intelligence. Mrs. Singh has presented and published several research papers at national and international conferences. She is committed to continuous learning, having completed various industry-relevant certifications and training programs.

Publication Profile

Google Scholar

Educational Details

  • M.Tech in Computer Technology and Applications from National Institute of Technical Teachers’ Training and Research (RGPV, Bhopal) – 2016 (CGPA: 8.69)
  • B.E. in Computer Science Engineering from Sagar Institute of Research Technology and Science (RGPV, Bhopal) – 2014 (CGPA: 8.35)

Professional Experience

  • Assistant Professor in the Department of Artificial Intelligence and Data Science at Dr. D Y Patil Institute of Engineering Management and Research since July 1, 2022.
  • Lecturer in the Computer Department at Marathwada Mitra Mandal Polytechnic College.
  • Assistant Professor at Sri Sai Shail Manglam College, Singrauli (June 1, 2019, to June 30, 2021).
  • Resource Person for the B.C.A Vocational course at Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur (May 30, 2017, to May 27, 2019).

Research Interest

  • Data Science
  • Machine Learning
  • Software Engineering
  • Operating Systems
  • Quantum Artificial Intelligence
  • Pattern Recognition
  • Computational Intelligence

Top Noted Publication

An Opinion Mining for Indian Premier League Using Machine Learning Techniques

  • Authors: KP Dubey, S Agrawal
  • Conference: 2019 4th International Conference on Internet of Things: Smart Innovation, Usage, and Application
  • Pages: 25
  • Year: 2019
  • Summary: This paper presents a sentiment analysis model for social media data related to the Indian Premier League (IPL). The authors employed machine learning techniques to classify public opinions, enabling better understanding of audience engagement and predicting trends in sports sentiment.

Comparing Classification and Regression Tree and Support Vector Machine for Analyzing Sentiments for IPL

  • Author: Arti Singh
  • Journal: International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC)
  • Volume: 4
  • Issue: 6
  • Pages: 172-175
  • Year: 2016
  • ISSN: 2321-8169
  • Summary: This study compares the performance of two machine learning algorithms, Classification and Regression Tree (CART) and Support Vector Machine (SVM), for sentiment analysis on IPL data. The research evaluates the accuracy and effectiveness of both approaches for sports sentiment analysis.

AI Application in Production

  • Author: Arti Singh
  • Publisher: Taylor & Francis
  • Book Title: Industry 4.0: Enabling Technologies and Applications
  • Chapter: AI Application in Production
  • Year: 2024
  • URL: Link to book
  • Summary: This book chapter explores the integration of Artificial Intelligence (AI) in manufacturing and production processes. It highlights AI-driven innovations, predictive maintenance, process optimization, and intelligent automation in modern industrial setups.

Automated Invoice Data Extraction: Advancements and Challenges in OCR-Based Approaches

  • Authors: Arti Singh, Sneha Kanwade, Siddhant Shendge, Amoksh Layane, Kohsheen Tikoo
  • Journal: International Journal of Scientific Research in Engineering and Management (IJSREM)
  • Volume: 8
  • Pages: 1-6
  • ISSN: 2582-3930
  • Year: 2024
  • Summary: This paper addresses the growing need for automated invoice data extraction using Optical Character Recognition (OCR) technologies. It discusses the latest advancements, the challenges faced, and potential solutions to enhance accuracy in invoice processing systems.

An In-Depth Analysis of Sentiment Polarity Using Various Machine Learning Algorithms

  • Author: Arti Singh
  • Conference: 8th International Conference on ISDIA 2024
  • Volume: 1107
  • Pages: 157–167
  • Year: 2024
  • Summary: This research investigates the effectiveness of different machine learning algorithms for sentiment polarity detection. The study evaluates models such as SVM, Random Forest, and Extremely Randomized Trees to improve sentiment classification accuracy in social media data.

Comparative Study of Machine Learning Algorithms for Sentiment Polarity

  • Author: Arti Singh
  • Conference: IRF International Conference
  • Pages: 1-5
  • Year: 2017
  • Summary: The paper compares several machine learning techniques, including Naive Bayes, Decision Trees, and SVM, for sentiment polarity classification. It emphasizes the importance of selecting the appropriate algorithm for accurate sentiment detection in online text data.

Conclusion:

Mrs. Arti Singh is a strong candidate for the Best Researcher Award, given her consistent research output in machine learning and applied AI domains, industry-relevant research contributions, and dedication to academic excellence. Her work bridges the gap between theory and practice, making her a valuable contributor to the field of computational intelligence and Industry 4.0 applications.

With increased focus on high-impact journals, research funding, and industry collaborations, she has the potential to emerge as a leading figure in her field. Therefore, she is highly deserving of recognition through the Best Researcher Award.