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.

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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.

 

Koagne Longpa Tamo Silas | Analog Artificial Neural Networks | Innovative Research Award

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Mr. Koagne Longpa Tamo Silas | Analog Artificial Neural Networks | Innovative Research Award

Doctoral Researcher at University of Dschang, Cameroon.

Koagne Longpa Tamo Silas is a Ph.D. student in Physics at Dschang State University, Cameroon, with a specialization in Medical Physics and Embedded Systems. He holds an M.Sc. in Physics (Electronics) from Dschang State University and a DIPET 2 in Electronics from the Higher Technical Teacher Training College, University of Bamenda. With a strong foundation in artificial neural networks, analog electronics, and microcontroller programming, his research focuses on integrating automation and AI in medical physics. In addition to his research, he has extensive teaching experience in electronics and computer science at various technical institutions in Cameroon. His industrial expertise includes electronic circuit design, electrical network maintenance, and embedded system applications.

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Educational Details

Mr. Koagne Longpa Tamo Silas is currently a Ph.D. student in Physics at Dschang State University, Cameroon, specializing in Medical Physics, where he has been enrolled since December 2022. He previously obtained an M.Sc. in Physics (Electronics) from Dschang State University in July 2022, with a thesis on the Specification and Implementation of Multilayer Perceptron Analog Artificial Neural Networks, under the supervision of Dr. Djimeli Tsajio Alain B. His B.Sc. in Physics was completed in August 2021 at the same university.

Before his graduate studies, he pursued technical education at the Higher Technical Teacher Training College, University of Bamenda, earning:

  • DIPET 2 in Electronics (July 2020) with a dissertation on Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Maps, supervised by Prof. Nfah Mbaka Eutace and Dr. Kamdem Kuate Paul Didier.

  • DIPET 1 in Electronics (August 2018) with a dissertation on Electronic Attendance System Based on RFID with Automatic Door Unit, supervised by Mr. Kouam Jules.

He also holds a GCE Advanced Level (5 papers, 2015) and a GCE Ordinary Level (8 papers, 2013) from Government Bilingual High School Mbouda. His academic journey began at École Primaire Bilingue de la Promotion Mbouda, where he obtained his First School Leaving Certificate (FSLC) in 2008.

Professional Experience

Mr. Silas has extensive experience in academia and industry. He has been an Electronics Teacher at Government Technical College Ngombo-ku, Cameroon, since January 2021, where he instructs students in circuit design, microcontrollers, and automation. He previously served as a Junior Lecturer in Computer Science at Higher Technical Teacher Training College, Bambili (2019-2020) and an Electronics Teacher at Government Technical High School Bambui (2017-2018).

His industrial experience includes:

  • HYTECHS-Yaoundé, Cameroon (2019) – Worked on maintenance of HP INKJET and RICOH printers, electronic printing device repairs, and installation of printing equipment. Supervised by Mr. Nkuimen Tankeu Cedric.

  • MEECH CAM Sarl-Yaoundé, Cameroon (2016) – Focused on underground electric cable installation, maintenance of high-voltage network devices, and electrical network line installation. Supervised by Mr. Ndjegnia Franck Enrico.

Research Interest

  • Analog Artificial Neural Networks

  • Digital and Analog Electronics

  • Embedded Systems and Microcontroller Programming

  • Circuit Simulation (SPICE, Cadence Virtuoso)

  • Electronic Design Automation (EDA)

  • Analog Signal Processing

  • Electronics and Communication Systems

Author Metrics

Mr. Silas is an emerging researcher in Medical Physics and Electronics, contributing to research on artificial neural networks, embedded systems, and medical automation. His work has been supervised by esteemed faculty at Dschang and Bamenda universities. As he advances in his Ph.D. studies, his publications and contributions to the field are expected to grow in impact within scientific and engineering communities.

Top Noted Publication

1. A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks

  • Authors: KLT Silas, DTA Bernard, FT Bernard, L Jean-Pierre, GW Ejuh

  • Year: 2025

  • Research Focus:
    This paper presents the design and implementation of a high-resolution, non-volatile floating gate transistor memory cell, optimized for on-chip learning in analog artificial neural networks (ANNs). The study focuses on developing efficient, low-power, and high-precision memory architectures tailored for ANN applications, particularly in medical diagnostics and real-time data processing.

2. Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network

  • Authors: B Djimeli-Tsajio Alain, KLT Silas, LT Jean-Pierre, N Thierry, GW Ejuh

  • Year: 2024

  • Research Focus:
    This study explores the application of feed-forward multilayer perceptron (MLP) analog artificial neural networks (ANNs) for breast cancer diagnosis. The model utilizes machine learning techniques to enhance diagnostic accuracy, reducing false positives and false negatives in mammography analysis. The findings demonstrate the potential of ANN-based medical imaging solutions in early cancer detection and precision medicine.

3. Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map

  • Author: KLT Silas

  • Year: 2020

  • Research Focus:
    This project details the development of a digital breath alcohol detection system that integrates an SMS alert mechanism and real-time vehicle tracking using Google Maps. The system is designed to improve road safety by detecting alcohol levels in drivers and alerting authorities or emergency contacts. The integration of embedded systems, microcontrollers, and GPS technology makes it a valuable tool for transportation safety enforcement.

4. Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit

  • Author: MK Jules

  • Contributor: KLT Silas

  • University: University of Bamenda

  • Year: 2018

  • Research Focus:
    This paper presents an RFID-based electronic attendance system with an automatic door control unit, aimed at enhancing security and automation in institutional environments. The system automatically logs student or staff attendance and grants access based on RFID authentication, improving accuracy and eliminating manual attendance tracking.

Conclusion

Mr. Koagne Longpa Tamo Silas is a strong candidate for the Innovative Research Award due to his pioneering work in analog artificial neural networks, medical AI applications, and embedded systems. His contributions to AI-driven medical diagnostics and ANN memory design demonstrate a forward-thinking approach to AI and electronics integration.

To further strengthen his candidacy, publishing in high-impact journals, increasing citations, pursuing patents, and collaborating on interdisciplinary AI projects would enhance the global impact of his work. Nonetheless, his innovative research in analog ANNs and automation technologies makes him a deserving nominee for this award.

 

 

Subash Senthil Mohanvel | Predictive Maintenance | Best Researcher Award

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Mr. Subash Senthil Mohanvel | Predictive Maintenance | Best Researcher Award

Subash Senthil Mohanvel at West Pharmaceuticals, United States.

Subash Senthil Mohanvel is a digital manufacturing expert and technology strategist with over two decades of experience in SAP, MES, and Industry 4.0 implementations. As Director of Digital Manufacturing at West Pharmaceutical, he leads enterprise-wide digital transformation initiatives, integrating SAP S/4HANA, IoT, and automation technologies to enhance manufacturing and quality processes. His expertise in solution architecture, predictive maintenance, and shop floor digitization has contributed to significant efficiency improvements and cost savings in industrial operations. Subash is also a thought leader in manufacturing innovation, with research contributions in high-performance teams and predictive maintenance applications.

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Educational Details

Subash Senthil Mohanvel holds a Master of Engineering in Information Technology from the Royal Melbourne Institute of Technology, Australia, and a Bachelor of Engineering in Computer Science and Engineering from Mepco Schlenk Engineering College, India. He has also obtained multiple certifications, including SAP development on HANA and various industry-recognized credentials from Open SAP.

Professional Experience

With over 22 years of experience, Subash Senthil Mohanvel is a seasoned expert in digital manufacturing, plant maintenance, and enterprise resource planning (ERP) solutions. He currently serves as Director of Digital Manufacturing at West Pharmaceutical, leading the digital transformation of manufacturing and quality operations using SAP S/4HANA, MES, and IoT. Previously, he worked at CertainTeed – Saint-Gobain (2013–2023) as a Senior Manager, where he played a key role in implementing Industry 4.0 solutions, MES systems, SAP MII, and digital shop floor operations. His expertise spans SAP Logistics, Supply Chain, Procurement, and Manufacturing Execution Systems (MES), with a focus on system architecture, solution innovation, and process optimization.

Subash has architected and managed several large-scale SAP and MES implementation projects, driving efficiency through IoT integration, real-time shop floor analytics, predictive maintenance, and digital transformation strategies. He has successfully developed and deployed automated guided vehicles (AGVs), plant maintenance mobile solutions, and energy management systems, contributing to cost savings and operational excellence. His leadership extends to offshore and onshore team management, solution advisory for CIOs and directors, and business case development, including ROI calculation and capital approvals.

Research Interest

Subash’s research interests lie in Industry 4.0, digital manufacturing, predictive maintenance, IoT-enabled shop floor operations, and SAP-driven enterprise solutions. His work focuses on optimizing manufacturing processes, reducing operational costs, and enhancing plant reliability through digital transformation strategies. He has also published papers on high-performance team building and practical applications of predictive maintenance.

Author Metrics

  • Publications: 2 research papers on high-performance team building and predictive maintenance applications

  • Key Contributions: Industry 4.0 applications in predictive maintenance, MES, IoT-enabled manufacturing, and SAP-driven shop floor transformation

  • Recognitions: Awarded for Act Like an Entrepreneur (2021), Best Designer (2016), Professional Commitment (2018), and Cultivate Customer Intimacy (2019) at CertainTeed

Top Noted Publication

  • “Making Predictive Maintenance a Reality”

    • Author: Subash Senthil Mohanvel​

    • Journal: Intelligent Control and Automation​

    • Volume: 16​

    • Issue: 1​

    • Year: 2025

    • DOI: 10.4236/ica.2025.161001​

    • Abstract: This publication aims to bridge the gap between AI advancements and maintenance, specifically focusing on making predictive maintenance a practical application.

  • “How to Build a High-Performance Team”

    • Author: Subash Senthil Mohanvel​

    • Journal: American Journal of Industrial and Business Management​

    • Volume: 14​

    • Issue: 9

    • Pages: 1181-1188​

    • Year: 2024​

    • DOI: 10.4236/ajibm.2024.149061​

    • Abstract: This article aims to help individuals, teams, or anyone in understanding the fundamentals on how to strategize in building a high-performance team.

Conclusion

Mr. Subash Senthil Mohanvel is a strong candidate for the Best Researcher Award due to his extensive industry experience, transformative digital manufacturing innovations, and impactful research in predictive maintenance and high-performance teams. His work bridges theoretical advancements with practical applications, making it highly valuable for industrial and academic progress.

To strengthen his candidacy, he should increase his research output in high-impact journals, engage more in academic collaborations, and expand data-driven empirical studies. However, his deep expertise in Industry 4.0, leadership in digital transformation, and innovative contributions to predictive maintenance make him a deserving nominee for this award.

 

 

V. Udayavani | Law | Best Research Article Award

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Mrs. V. Udayavani | Law | Best Research Article Award

Assistant Professor at SAVEETHA SCHOOL OF LAW, SIMATS India.

Mrs. V. Udayavani is a dedicated legal scholar and Assistant Professor at Saveetha School of Law, SIMATS, with a diverse academic background in science, law, and technology. With her strong foundation in legal practice and academic research, she has contributed significantly to legal education by mentoring students, publishing research papers, organizing academic events, and conducting professional training programs. She continues to engage in interdisciplinary legal research while pursuing her Ph.D. at SIMATS.

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Educational Details

  • M.Sc. (Zoology) – Completed postgraduate studies in Zoology.

  • LL.B. (Law) – Graduated from Seshadripuram Law College, Bangalore University.

  • LL.M. (Law) – Completed postgraduate studies in Law from Chidambaram.

  • PGDCA – Obtained a Postgraduate Diploma in Computer Applications from a reputed university.

  • Ph.D. (Pursuing) – Currently a Research Scholar at Saveetha School of Law, SIMATS.

Professional Experience

Mrs. V. Udayavani has been serving as an Assistant Professor at Saveetha School of Law, SIMATS, since 2018. Before entering academia, she was enrolled as an Advocate in the Bar Council of Tamil Nadu (2005) and actively practiced law, representing clients before the Madras High Court and various Trial Courts in Tamil Nadu, handling diverse cases across legal domains.

In academia, she has organized and participated in numerous seminars, webinars, conferences, and guest lectures. She has also conducted moot sessions and competitions to enhance legal education. She played a key role in organizing events such as the Star Summit 2023, an industrial visit to SKP Platers (Ambattur Industrial Estate), and a PoSH (Prevention of Sexual Harassment) event at Saveetha School of Engineering on August 3, 2023.

Research Interest

Her research interests include legal studies, gender laws, environmental law, interdisciplinary approaches in law and science, and digital law enforcement. She has published research articles in various academic journals, including the first issue of Modern Research of Social Sciences, Law, Management, and Environmental Sciences (2022, SSL).

Author Metrics

  • Publications: Research articles in law, gender studies, and environmental sciences.

  • Academic Contributions: Conferences, webinars, guest lectures, and moot courts.

  • Professional Engagements: Advocacy, judicial representations, legal education training.

Top Noted Publication

1. A Study on Delay in Civil Proceedings

  • Author: Pragadeeswaran

  • Journal: International Journal of Pure and Applied Mathematics

  • Volume: 120 (Special Issue)

  • Pages: 12

  • Year: 2018

2. A Critical Analysis on Laws Relating to Protection of Indigenous Peoples – An International Perspective

  • Authors: R. Ramasamy, V. Udayavani

  • Journal: Fourth World Journal

  • Volume: 18 (1)

  • Pages: 111-123

  • Year: 2019

3. Trial on Summon Case – A Critical Study

  • Author: M. Vinoth Kumar

  • Journal: International Journal of Pure and Applied Mathematics

  • Volume: 120 (Special Issue)

  • Pages: 12

  • Year: 2018

4. A Study on Execution of Death Sentence

  • Author: G. Vijay

  • Journal: International Journal of Pure and Applied Mathematics

  • Volume: 120 (Special Issue)

  • Pages: 8

  • Year: 2018

5. Anticipatory Bail and Its Application in India under Criminal Procedure Code

  • Author: S.V. Bafna

  • Journal: International Journal of Pure and Applied Mathematics

  • Volume: 120 (Special Issue)

  • Pages: 12

  • Year: 2018

Conclusion

Mrs. V. Udayavani is a strong candidate for the Best Research Article Award due to her diverse legal research, interdisciplinary knowledge, and active academic contributions. To further solidify her position, she could focus on publishing in high-impact journals, engaging in empirical legal studies, and expanding research on contemporary legal challenges in technology and digital law. Overall, her work significantly contributes to the legal field, making her a deserving nominee.

 

 

Pyar Singh | Journalism | Best Researcher Award

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Assist. Prof. Dr. Pyar Singh | Journalism | Best Researcher Award

Assistant Professor & HOD at APG Shimla University, H.P.- India.

Dr. Pyar Singh Thakur is a distinguished scholar in media studies, journalism, and communication. He has made significant contributions to media research, gender studies, and political discourse in India. His academic expertise spans mass communication, media ethics, cultural studies, and development communication.

Dr. Thakur has authored several books, including Broadcast Journalism & Production, Introduction to Media and Cultural Studies, and News Reporting & Editing. His research examines media representation, gender portrayal, media commercialization, and intercultural communication.

Publication Profile

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Educational Details

  • Ph.D. in Journalism & Mass Communication

  • MJMC (Master of Journalism & Mass Communication) – Himachal Pradesh University

  • BJMC (Bachelor of Journalism & Mass Communication) – Himachal Pradesh University

  • M.A. in English Literature – Himachal Pradesh University

  • B.Ed. (Bachelor of Education) – IGNOU, New Delhi

Professional Experience

Dr. Pyar Singh has over 15 years of experience in academia and media. He has served as a Lecturer at Sen. Sec. School Sidhpur, a Field Executive for an educational survey at ITFT College, Chandigarh, and an Assistant Professor at Abhilashi University, Mandi, H.P. He has also worked as a Visiting Faculty/Guest Faculty at Himachal Pradesh University, Shimla. His media experience includes roles as a District Correspondent/Journalist for TV magazine Crime 24×7, The Hindu newspaper, and All India Radio Shimla.

Dr. Singh has actively contributed to the field of journalism through scriptwriting for All India Radio Shimla, where he has broadcast numerous educational programs and radio plays. He has also served as a Consultant Editor for the AGU Newsletter at APG Shimla University.

Research Interest

Dr. Singh’s research focuses on mass media theories, media influence on public perception, development communication, environmental journalism, social media impact, and political communication. His work explores topics such as media coverage of conflicts, digital journalism, media ethics, and policy analysis.

Author Metrics

  • Books Published: 10+

  • Research Papers: 85+

  • Conferences & Seminars Attended: 20+

  • Media & Journalism Contributions: Extensive experience in radio, print, and television journalism.

Awards & Recognition

  • Shan-E-Himachal Award (2019) – for outstanding contributions to H.P. Phari language, history, research, and culture writing in journalism (English & Hindi).

  • National Faculty Award (2024-25) – Award of Excellence in Research from Novel Research Academy, Puducherry.

Top Noted Publication

1. Mahatma Gandhi’s Relevance amid the Politics of Resistance & His Portrayal after 2014 in Indian Politics

  • Journal: Media, Gender & Identity eJournal

  • Date: November 8, 2024

  • Publisher: Elsevier Scopus/SSRN

  • Contributor(s): Dr. Pyar Singh Thakur

2. Sexism and Women Treated as a Product to Selling Another Products in the Indian Mass Media in the Era of Globalization: A Critical Analysis

  • Journal: Media, Gender & Identity eJournal (Vol. 7, Issue 32)

  • Date: November 13, 2024

  • Publisher: Elsevier Scopus/SSRN

  • Contributor(s): Dr. Pyar Singh Thakur

3. Performance Evaluation of Guar Gum and Conventional Binders Based Fire-Extinguishing Aerosol-Forming Composites

  • Journal: Fire and Materials

  • Date: 2023

  • DOI: 10.1002/fam.3144

  • EID: 2-s2.0-85153486738

  • ISSN: 10991018, 03080501

  • Contributor(s): Dobhal, S.P.; Pathak, T.K.; Sharma, V.; Singh, R.P.; Singh, S.K.; Jassal, P.S.; Johar, R.

4. Rice Production and Nitrogen Use Efficiency in Different Nitrogen Management Systems Under Sub-Humid Conditions

  • Journal: Communications in Soil Science and Plant Analysis

  • Date: 2023

  • DOI: 10.1080/00103624.2023.2195433

  • EID: 2-s2.0-85150961177

  • ISSN: 15322416, 00103624

  • Contributor(s): Singh, S.; Thakur, D.; Manuja, S.; Sharma, S.K.; Chahal, A.; Singh, S.

5. Synthesis of Magnetic Chitosan Beads and Its Cross-Linked Derivatives for Sorption of Zinc Ions from Water Samples of Yamuna and Hindon Rivers in North India

  • Journal: Polymer Bulletin

  • Date: 2023

  • DOI: 10.1007/s00289-023-04932-0

  • EID: 2-s2.0-85168578572

  • ISSN: 14362449, 01700839

  • Contributor(s): Jassal, P.S.; Rani, P.; Johar, R.

Conclusion

Dr. Pyar Singh is a strong candidate for the Best Researcher Award, given his extensive publication record, impactful research in media and journalism, leadership roles, and industry contributions. If he continues to enhance his citation metrics, interdisciplinary reach, and global collaborations, he will further solidify his reputation as a leading researcher in journalism and mass communication.

 

 

Santonu Debnath | Statistical Convergence | Best Researcher Award

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Mr. Santonu Debnath | Statistical Convergence | Best Researcher Award

Assistant Professor at Dhamma Dipa International Buddhist University, India.

Santonu Debnath is a mathematician and researcher specializing in the study of convergence in abstract normed spaces, with a particular emphasis on neutrosophic and fuzzy normed spaces. He is currently pursuing his Ph.D. at Tripura University, where his research explores the statistical properties of sequences within complex mathematical structures. His work has been widely recognized, with multiple publications in SCOPUS and Web of Science-indexed journals.

As an Assistant Professor at Dhamma Dipa International Buddhist University, he also serves as the Head of the Mathematics Department (I/C). His teaching experience spans several institutions, where he has contributed to the academic development of students in advanced mathematics. In addition, he is a life member of the Indian Mathematical Society and an active reviewer for Mathematical Reviews (American Mathematical Society).

Publication Profile

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Educational Details

Mr. Santonu Debnath is currently pursuing his Ph.D. at Tripura University (A Central University), Suryamani Nagar, Agartala, with an expected completion in 2025. He holds an M.Sc. in Mathematics from Tripura University (2016) and a B.Sc. from Maharaja Bir Bikram College, Agartala (2014). Additionally, he earned a Bachelor of Education (B.Ed.) from the Institute of Advanced Studies in Education, Kunjaban, Agartala (2019). His foundational schooling was completed under the Central Board of Secondary Education (CBSE), obtaining his 12th-grade qualification in 2011 and 10th-grade in 2009.

Professional Experience

Mr. Debnath has accumulated extensive teaching experience at various institutions. He currently serves as an Assistant Professor and Head of Department (I/C) at Dhamma Dipa International Buddhist University, South Tripura (October 2024 – present). Prior to this, he was a Guest Lecturer at Techno India University, Tripura (2024) and ICFAI University, Tripura (2020). Additionally, he contributed as a Guest Lecturer at Women’s Polytechnic College, Tripura, during two different periods (2019-2020 and 2016-2017). His expertise in mathematical research and pedagogy has significantly impacted his students and colleagues.

Research Interest

  • Neutrosophic Normed Spaces

  • Statistical and Deferred Statistical Convergence

  • Fuzzy Normed Spaces

  • Rough Statistical Convergence

  • Functional Analysis and Topology

  • Mathematical Modeling and Applications

Author Metrics

  • Total Publications: 9 (SCOPUS-indexed)

  • Citations: 8 (as per Sahand Communications in Mathematical Analysis)

  • h-index: 2 (Estimated)

  • i10-index: 1 (Estimated)

Top Noted Publication

  1. On Deferred Statistical Convergence of Sequences in Neutrosophic Normed Spaces

    • Journal: Sahand Communications in Mathematical Analysis, Vol. 19(4), 81-96 (2022)

    • Citations: 8

  2. On Deferred Statistical Convergence in Fuzzy Normed Linear Spaces

    • Journal: Journal of Fuzzy Extension and Applications, Vol. 6(1), 1-13 (2025)

  3. A Generalized Statistical Convergence in Neutrosophic Normed Space

    • Journal: Acta Mathematica Universitatis Comenianae, Vol. 93(2), 79-93 (2024)

  4. Rough Statistical Convergence in Neutrosophic Normed Spaces

    • Journal: Southeast Asian Bulletin of Mathematics, Vol. 48(3) (2024)

  5. On Statistical Limit Superior and Limit Inferior in Neutrosophic Normed Spaces

    • Journal: Advances in Mathematical Sciences and Applications, Vol. 33(1), 97-108 (2024)

Conclusion

Mr. Santonu Debnath is a promising researcher in mathematical convergence theories, particularly within neutrosophic and fuzzy normed spaces. His strong publication record, academic leadership, and professional memberships make him a solid candidate for the Best Researcher Award. By focusing on higher-impact journals, international collaborations, and funding opportunities, he can further solidify his standing as a leading researcher in mathematical analysis.

 

 

Mohamed Abulela | Biofuel | Best Paper Award

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Dr. Mohamed Abulela | Biofuel | Best Paper Award

Mohamed Abulela at Assiut university, Egypt.

Dr. Mohamed Abdelazim Abulela is a synthetic organic chemist with expertise in heterocyclic and selenium chemistry, analytical method development, and biofuel research. He is a researcher at the Assiut Sugar Industry Technology Research Institute and a lecturer at Assiut University. His work focuses on synthesizing bioactive compounds, developing eco-friendly analytical methods, and modifying biomaterials for environmental applications. He has published extensively in peer-reviewed journals, contributing to advances in organic synthesis, sustainable chemistry, and industrial applications.

Publication Profile

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Educational Details

  • Postdoctoral Fellow (2015-2016) – Saurashtra University, Rajkot, India (X-ray Crystallography & Synthesis of Selenone Chelates)

  • Ph.D. in Organic Chemistry (2010) – Assiut University, Egypt

    • Thesis: Synthesis and Application of New Heterocyclic Compounds Related to Selenolopyridine Derivatives

  • M.Sc. in Organic Chemistry (2005) – Assiut University, Egypt

    • Thesis: Synthesis of Some New Triazepines with Expected Biological Activities

  • B.Sc. in Chemistry (1999) – Assiut University, Egypt (General Grade: Very Good)

Professional Experience

Dr. Abulela is a synthetic organic chemist specializing in heterocyclic and selenium-containing compounds. He is currently a full-time researcher at the Assiut Sugar Industry Technology Research Institute and a part-time lecturer at the Faculty of Science, New Valley Branch, Assiut University. His research expertise spans bioactive small-molecule synthesis, analytical chemistry, biocatalysis, and environmental applications. He has played a key role in national projects, including modification of sugarcane bagasse for adsorption applications and the development of eco-friendly analytical methods for sugar and ethanol quantification. His work has also contributed to biofuel research, enzyme activity assays, and wastewater treatment solutions using bio-sorbents.

Research Interest

  • Heterocyclic & Organoselenium Chemistry – Synthesis of bioactive small molecules, selenium chelates, and novel fused systems

  • Analytical & Industrial Chemistry – Colorimetric methods for reducing sugar and ethanol determination

  • Green & Sustainable Chemistry – Modification of sugarcane bagasse for environmental applications, adsorbents, and biofuel research

  • Enzyme and Biocatalysis – Invertase, amylase, and cellulase activity assays

  • X-ray Crystallography & Solid-State Chemistry – Structural elucidation of newly synthesized compounds

Author Metrics

  • Publications: 15+ research articles in high-impact international journals

  • Citations: Significant contributions in the fields of organic chemistry, analytical methods, and environmental science

  • DOI References: Indexed articles in journals such as Journal of Chemical Research, MethodsX, Journal of Polymers and the Environment

  • Research Collaboration: Works with Egyptian and international research teams, including scholars from India and the Middle East

Top Noted Publication

1. A Simplified Procedure for Cellulase Filter Paper Assay

  • Journal: International Research Journal of Pure and Applied Chemistry

  • Publication Date: July 14, 2021

  • DOI: 10.9734/irjpac/2021/v22i530410

  • ISSN: 2231-3443

  • Source: CrossRef

2. A Simplified Procedure for Cellulase Filter Paper Assay (Preprint)

3. Self-Colorimetric Determination of Bio-Ethanol Using Permanganate in Fermentation Samples

4. Crystal and Physiochemical Properties of 2-Aminoethanaminium 2-(Ethoxycarbonyl)-4,6-Dinitrophenolate

  • Journal: Open Access Library Journal (OALib)

  • Publication Year: 2021

  • DOI: 10.4236/oalib.1107764

  • ISSN: 2333-9721, 2333-9705

  • Source: OALib

5. Self-Colorimetric Determination of Bio-Ethanol Using Permanganate in Fermentation Samples

  • Journal: Open Access Library Journal (OALib)

  • Publication Year: 2021

  • DOI: 10.4236/oalib.1107762

  • ISSN: 2333-9721, 2333-9705

  • Source: OALib

Conclusion

Dr. Mohamed Abulela is a strong contender for the Best Paper Award due to his significant contributions to biofuel research, innovative analytical methodologies, and commitment to green chemistry. His work aligns with sustainability and efficiency goals in biofuel production, making him a valuable candidate for the award.

To enhance his candidacy, increasing industrial collaborations, expanding citation impact, and securing funding for large-scale applications would further solidify his standing as a top researcher in the biofuel sector.

 

Melanie Kuhn | Social Sciences | Innovation Catalyst Paper Award

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Prof. Dr. Melanie Kuhn | Social Sciences | Innovation Catalyst Paper Award

Professor at Purdue University, United States.

Prof. Dr. Melanie Kuhn is a leading literacy researcher and educator specializing in reading fluency and literacy development. She currently serves as the Jean Adamson Stanley Faculty Chair in Literacy at Purdue University. With a career spanning over two decades, she has held faculty positions at Boston University and Rutgers University, mentoring numerous scholars in reading education. Dr. Kuhn has published multiple books and articles on reading instruction, including Developing Fluent Readers and The Hows and Whys of Fluency Instruction. She has received prestigious honors such as the Early Career Achievement Award from the National Reading Conference and serves on prominent literacy research panels.

Publication Profile

Scopus

Google Scholar

Educational Details

Prof. Dr. Melanie Kuhn holds a Ph.D. in Reading Education from the University of Georgia (2000), where she conducted a comparative study on small-group fluency instruction. She earned an M.Phil. in The Psychological Investigation of Intellectual Development from Cambridge University (1993), focusing on learning style preferences and auditory variation in reading comprehension. Additionally, she obtained an Ed.M. in Reading and Language from Harvard Graduate School of Education (1988) and a B.A. in History, Magna Cum Laude, from Boston College (1984).

Professional Experience

Dr. Kuhn is the Jean Adamson Stanley Faculty Chair in Literacy at Purdue University’s College of Education. Since 2015, she has led courses on reading instruction, literacy intervention, and whole-school literacy reform. Previously, she served as an Associate Professor at Boston University (2008–2015) and at Rutgers University (2000–2007), where she developed and taught various literacy courses, supervised doctoral and master’s students, and contributed to program development. Her extensive academic service includes mentoring scholars and leading professional development initiatives in literacy education.

Research Interest

Dr. Kuhn’s research focuses on reading fluency, literacy development, reading comprehension strategies, and effective instructional practices for struggling readers. She has contributed significantly to understanding how fluency instruction enhances reading comprehension and engagement in elementary and middle school learners.

Author Metrics

  • Books Published: 5+
  • Juried Journal Articles: 20+
  • Citations: Extensive contributions in literacy research with high academic citations
  • Key Publications: Reading Research Quarterly, Journal of Literacy Research, Kappan
  • Professional Affiliations: Literacy Research Association (Board Member), International Literacy Association (Panel Member)

Top Noted Publication

Integrated Fluency Instruction: Three Approaches for Working with Struggling Readers

  • Authors: M. Kuhn, T. Rasinski, B. Zimmerman
  • Journal: International Electronic Journal of Elementary Education
  • Volume & Issue: 7(1), Pages 71-82
  • Citations: 48 (2014)
  • Summary: This paper presents three instructional approaches for improving reading fluency in struggling readers. It discusses scaffolded reading interventions and their impact on student literacy development.

Whole Class or Small Group Fluency Instruction: A Tutorial of Four Effective Approaches

  • Author: M. R. Kuhn
  • Journal: Education Sciences
  • Volume & Issue: 10(5), Article 145
  • Citations: 47 (2020)
  • Summary: This article explores four evidence-based methods for fluency instruction in whole-class and small-group settings. It provides educators with practical strategies for integrating fluency instruction into daily teaching.

Teachers’ Perceptions of Word Callers and Related Literacy Concepts

  • Authors: E. B. Meisinger, B. A. Bradley, P. J. Schwanenflugel, M. R. Kuhn
  • Journal: School Psychology Review
  • Volume & Issue: 39(1), Pages 54-68
  • Citations: 45 (2010)
  • Summary: This study investigates teachers’ understanding of “word callers” (students who read fluently but lack comprehension) and their views on fluency and comprehension strategies in literacy education.

Prosody, Pacing, and Situational Fluency (or Why Fluency Matters for Older Readers)

  • Authors: M. R. Kuhn, P. J. Schwanenflugel
  • Journal: Journal of Adolescent & Adult Literacy
  • Volume & Issue: 62(4), Pages 363-368
  • Citations: 38 (2019)
  • Summary: This paper highlights the importance of prosody (expressive reading) and pacing for adolescent and adult readers, discussing strategies to support fluency development in older students.

Fluency: Developmental and Remedial Practices – Revisited

  • Authors: M. R. Kuhn, S. A. Stahl
  • Book Chapter: Theoretical Models and Processes of Reading
  • Pages: 385-411
  • Citations: 37 (2013)
  • Summary: This chapter revisits foundational and contemporary research on reading fluency, examining effective remedial strategies for struggling readers and the role of fluency in reading comprehension.

Conclusion

Prof. Dr. Melanie Kuhn is a highly suitable candidate for the Innovation Catalyst Paper Award due to her groundbreaking contributions to reading fluency, her role in shaping literacy education, and her strong publication record. If she incorporates more empirical validation, technological innovations, and cross-cultural research into her work, she could further solidify her impact as a transformative leader in literacy studies.

 

Sasibhushan Rao Chanthati | Computer Science | Innovative Research Award

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Mr. Sasibhushan Rao Chanthati | Computer Science | Innovative Research Award

Sr. Software Engineer at T. Rowe Price, United States.

Sasibhushan Rao Chanthati is a technology leader, researcher, and author specializing in artificial intelligence, machine learning, and enterprise software engineering. With extensive experience in developing high-complexity software solutions, he has been instrumental in driving technological advancements at T. Rowe Price Associates INC.. Beyond his professional role, he is an author of multiple scholarly articles and open-source knowledge resources, as well as a volunteer mentor and IT trainer for veterans. His contributions to technology and research have earned him the Global Recognition Award in 2024.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Details

Sasibhushan Rao Chanthati holds a strong academic foundation in software engineering and technology, complemented by continuous learning in cutting-edge areas such as artificial intelligence, machine learning, and cloud computing. His expertise spans full-stack development, system integrations, and digital transformation solutions.

Professional Experience

Sasibhushan Rao Chanthati is a Senior Software Engineer and Associate/Assistant Vice President at T. Rowe Price Associates INC., where he has been contributing since October 2018. He specializes in full-stack software development, complex system integrations, and advanced technical analysis for large-scale investment applications. His role involves designing, developing, and maintaining sophisticated technical solutions that align with business requirements. His expertise includes ServiceNow Engineering, Cloud Technologies, REST APIs, JavaScript, Python, AWS, and System Integrations.

Previously, he worked as a Software Developer at I Link Solutions INC. (2017–2018), where he provided full-stack engineering solutions and system integration services for enterprise applications at T. Rowe Price. His work included software architecture, automation testing, and deployment strategies for large-scale systems.

Research Interest

  • Artificial Intelligence, Machine Learning, and Deep Learning
  • Generative AI and Large Language Models (LLMs)
  • Vector Search and Business Process Management
  • Digital Marketing and Automation

Author Metrics

  • Authored & self-published three open-source books/eBooks.
  • Published seven scholarly peer-reviewed papers in international journals.
  • Judge for three internationally recognized premium awards.
  • Senior Member & Volunteer in multiple global professional organizations.

Top Noted Publication

1. Second Version on A Centralized Approach to Reducing Burnouts in the IT Industry Using Work Pattern Monitoring Using Artificial Intelligence Using MongoDB Atlas and Python

  • Authors: SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • DOI: https://rgdoi.net/10.13140/RG.2.2.12232.74249
  • Citations: 92
  • Year: 2021
  • Summary: This research proposes an AI-driven approach for monitoring work patterns to prevent burnout in the IT industry. Using MongoDB Atlas and Python, the model analyzes workloads and suggests optimized schedules to improve work-life balance and reduce stress levels among IT professionals.

2. A Centralized Approach to Reducing Burnouts in the IT Industry Using Work Pattern Monitoring Using Artificial Intelligence

  • Authors: SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: International Journal on Soft Computing Artificial Intelligence and …
  • Citations: 68
  • Year: 2022
  • Summary: Expanding on prior research, this study focuses on implementing a centralized AI-based monitoring system that detects irregular work patterns and offers recommendations to mitigate burnout risks among IT professionals.

3. Second Version on the Product Color Variation Management Using Artificial Intelligence

  • Authors: SR Chanthati, SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: Engineering and Technology Journal 9 (11), 5513-5516
  • Citations: 38
  • Year: 2024
  • Summary: This paper introduces an AI-powered color variation management system for product customization in e-commerce and manufacturing. The system automates color classification, enhances product differentiation, and streamlines inventory management.

4. A Segmented Approach to Encouragement of Entrepreneurship Using Data Science

  • Authors: SR Chanthati, SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: World Journal of Advanced Engineering Technology and Science
  • DOI: https://doi …
  • Citations: 31
  • Year: 2024
  • Summary: This study applies data science techniques to analyze entrepreneurial trends and market behaviors. By segmenting entrepreneurial strategies based on data-driven insights, the paper proposes a framework for fostering business growth and innovation.

5. Artificial Intelligence-Based Cloud Planning and Migration to Cut the Cost of Cloud

  • Authors: SR Chanthati
  • Journal: American Journal of Smart Technology and Solutions 3 (2), 13-24
  • Citations: 25
  • Year: 2024
  • Summary: Focused on cost-efficient cloud migration strategies, this paper explores how AI-based decision-making can optimize cloud resource allocation, reduce unnecessary expenditures, and enhance cloud infrastructure efficiency.

Conclusion

Mr. Sasibhushan Rao Chanthati is a strong candidate for the Innovative Research Award due to his impactful research, industry leadership, and contributions to artificial intelligence and cloud computing. His ability to bridge academia and industry makes his work highly relevant. While he could enhance his profile through top-tier journal publications and commercialization efforts, his existing achievements strongly justify his nomination for this award.

 

Muhammad Shahzeb | Mechanical Engineering | Best Researcher Award

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Mr. Muhammad Shahzeb | Mechanical Engineering | Best Researcher Award

Master Degree Student at Sichuan University, Pakistan.

Mr. Muhammad Shahzeb is a mechanical engineer with expertise in structural design, mechanical failure analysis, and telecom infrastructure. He is currently pursuing an MS in Mechanical Engineering at Sichuan University, focusing on reliability analysis of silicon microstructures with multilayer thin films. With experience at Next Level Communications and China State Shipbuilding Corporation, he has worked on mechanical system design, integration, and performance optimization. His research interests lie in advanced materials, reliability engineering, and structural optimization for mechanical applications.

Publication Profile

Google Scholar

Educational Details

  • MS Mechanical Engineering (2022 – 2025) – Sichuan University, Chengdu, China
    • Thesis: Advanced Reliability Analysis of Fully Coated Silicon Microstructures with Multilayer Thin Films
  • BS Mechanical Engineering (2016 – 2020) – Jiangsu University of Science and Technology, Zhenjiang, China
    • Thesis: Structural Design of Cable Take-up Machine

Professional Experience

  • Mechanical Engineer, Next Level Communications (Pvt.) Limited (Jul 2020 – Jan 2023) – Islamabad, Pakistan

    • Designed and reviewed mechanical schematics for power systems and telecom infrastructure, ensuring multi-vendor equipment compatibility.
    • Led the installation and commissioning of mechanical components, improving system efficiency by 20%.
    • Conducted root cause analysis of mechanical failures, reducing downtime by 25%.
    • Worked with cross-functional teams to integrate mechanical systems into next-generation telecom networks.

  • Mechanical Engineer, China State Shipbuilding Corporation (CSSC) (Jun 2019 – Dec 2019) – Zhenjiang, China

    • Assisted in analyzing mechanical systems, conducting tests, and identifying areas for improvement.
    • Ensured safety and operational standards compliance through inspections and checks.
    • Conducted research on innovative mechanical engineering technologies and solutions.
    • Supported inspection, repair, and overhaul of mechanical systems in ships and facilities.

Research Interest

  • Reliability analysis of silicon microstructures with multilayer thin films
  • Structural design and optimization of mechanical systems
  • Mechanical failure analysis and maintenance strategies
  • Advanced materials and coatings for mechanical components

Top Noted Publication

  • Title: An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority OverSampling Technique Algorithms
  • Authors: Zeng, X., Shahzeb, M., Cheng, X., Shen, Q., Xiao, H., Xia, C., Xia, Y., Huang, Y., Xu, J., & Wang, Z.
  • Year: 2024
  • Journal: Micromachines
  • Volume & Issue: 15(12), 1501
  • DOI: 10.3390/mi15121501

Conclusion

Muhammad Shahzeb is a promising researcher with a strong technical background, diverse professional experience, and a growing research profile. His contributions to gas sensor data classification, mechanical system optimization, and reliability analysis highlight his potential as a leading researcher in mechanical engineering.

While he has demonstrated excellence in applied research, mechanical system analysis, and cross-disciplinary innovation, further expansion in publication record, research funding, and academic collaboration would strengthen his case for a Best Researcher Award. With continued efforts in high-impact research and industry partnerships, he would be a strong contender for this recognition.