TÚLIO PACHECO BOAVENTURA | Agricultural | Best Researcher Award

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Dr. TÚLIO PACHECO BOAVENTURA | Agricultural | Best Researcher Award

Doctorat at ,Universidade Federal de Minas Geraisa, Brazil.

Dr. Túlio Pacheco Boaventura has demonstrated a strong commitment to advancing aquaculture science, with significant contributions to fish anesthesia and transport. His solid academic background, interdisciplinary experience, and dedication to teaching underscore his qualifications.​

Publication Profile

Scopus 

Education

Doctorate in Zootechny (2018 – 2022) – Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
Thesis: Use of Ocimum gratissimum L Essential Oil During Anesthesia and Transport of Pacamã (Lophiosilurus alexandri): Hematology, Biochemistry, and Oxidative Stress.
Advisor: Ronald Kennedy Luz | Co-advisor: Gisele Cristina Favero
Scholarship: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil,Master’s in Zootechny (2017 – 2018) – Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
Thesis: Development of a New External Visual Marker for Fish and Its Influence on the Performance and Hematology,of Pacamã (Lophiosilurus alexandri).,Advisor: Ronald Kennedy Luz,Scholarship: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil,Bachelor’s in Aquaculture (2011 – 2016) – Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil,Thesis: Influence of Different Pore Diameters in Polyethylene Media on Colonization and Nitrification in Biofilters Applied in Aquaculture.,Advisor: Ronald Kennedy Luz,Technical Education in Biotechnology (2006 – 2009) – SESI Beijamin Guimarães, Brazil

Professional Experience

Graduate Lecturer (2017 – Present) – Universidade Federal de Minas Gerais (UFMG)
Taught Course: Live Food Production,Research Fellow & Scientific Assistant – Various research projects at Universidade Federal de Minas Gerais (UFMG) and Fundação Christiano Ottoni (FCO),Polymer Bioactivity Research (2008-2010) – Study of bioactive polymers,Biomedical Polymer Applications (2010) – Development of polymers for biomedical use,Serpentinito Mineral Addition in Polyolefin Resins (2012-2013),Optimization of PVC-based Composites (2013-2016) – Research conducted in collaboration with PRECON,Technical Chemist (2011 – 2012) – Fundação Christiano Ottoni (FCO),Worked in the Polymer and Composite Engineering Laboratory,Intern (2016) – UFMG Laboratory of Larviculture

Skills

  • Expertise in aquaculture, fish physiology, and stress management,Proficiency in biopolymer research and composite material development,Strong background in hematology, oxidative stress analysis, and fish anesthesia,Experienced in scientific research methodologies, statistical analysis, and experimental design

Awards & Recognitions

  • Research scholarship from CNPq (Doctorate) and CAPES (Master’s)

  • Active role in academic councils and student representation at UFMG

Research Focus

  • Fish Welfare and Stress Physiology – Investigating biochemical, hematological, and oxidative stress markers in aquaculture species

  • Anesthesia and Transport in Aquaculture – Studying the effects of plant-based anesthetics on fish health

  • Aquatic Animal Production – Developing innovative methodologies for fish farming

  • Polymer and Composite Materials – Researching bioactive and biomedical applications of polymers in aquac

Top Noted Publication

  • Fialho, Martins Marcela, Gabriel, Trindade Julio, Pacheco, Boaventura Tulio, Brey, Gil Camila Silva.
    Agriculture and Food Sciences Research, 2024.

  • Alcantara, Aline Moreira De, Boaventura, Tulio Pacheco, Paulino, Renan Rosa, Rosa, Priscila Vieira E, Ugucioni, Julio Cesar, Oliveira, Juliano Elvis.
    Agriculture and Food Sciences Research, 2024.

  • Loureiro Paschoalini, Alessandro, Boaventura, Túlio Pacheco, Costa Dos Santos, Fabio Aremil, Bazzoli, Nilo, Luz, Ronald Kennedy, Favero, Gisele Cristina..
    Journal of Applied Aquaculture (Print), 2024.

Conclusion

Considering his achievements and potential for further contributions, Dr. Boaventura is a deserving candidate for the Best Researcher Award. Recognizing his work could not only honor his past accomplishments but also encourage continued excellence and innovation in his future endeavors.​

 

Paula Abola| Toxicology | Best Researcher Award

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Mrs. Paula Abola| Toxicology | Best Researcher Award

Postdoctoral Fellowship at University of Jamestown, Germany.

Paula Abola is a highly qualified researcher with a strong academic background and significant contributions to Parkinson’s Disease research. Her expertise spans pharmaceutical management, clinical drug development, and medicinal chemistry, with extensive experience in clinical trials, regulatory affairs, and academia.

Publication Profile

Orcid

Education:

Paula Abola has a strong academic background in clinical research and pharmaceutical sciences. She is set to undertake a Postdoctoral Fellowship in Pharmaceutical Management at Sabi University, Canada, with a focus on Parkinson’s Disease (May 2027). She is currently pursuing a Doctor of Philosophy (PhD) in Clinical Research at the University of Jamestown, USA, emphasizing Parkinson’s Disease and shared decision-making in pharmacological management (May 2026). She completed her Master of Science in Clinical Drug Development at Queen Mary University of London, UK, in August 2023, with her dissertation exploring the efficacy of Monoamine Oxidase-B Inhibitor Rasagiline versus Liquid Levodopa-Carbidopa ND0612 Medication. She also holds a Bachelor of Science in Medicinal Chemistry & Chemical Biology from Jacobs University Bremen, Germany (June 2022).

Professional Experience:

Paula has held multiple academic and clinical roles. She currently serves as a Professor at Atlantic International University, USA (2025–Present), where she lectures in Chemical Biology. She also holds positions as an Adjunct Professor at Constructor University, Germany (2025–Present) and the University of Jamestown, USA (2024), mentoring students and lecturing on topics such as Causation and Correlation, Leadership, and Ethics.In the clinical sector, she worked as a Clinical Trial Regulatory Specialist at IQVIA, Germany (2024–2025), ensuring compliance in site activation and regulatory documentation. Previously, she served as a Remote Site Monitor and Clinical Trial Coordinator at Thermo Fisher Scientific, Germany (2022–2024), supporting regulatory submissions and monitoring clinical trials. Her early experience includes roles as an Analytical Chemist at Sirius Fine Chemicals SiChem GmbH, Germany (2019–2022) and Union Med PHOENIX Pharmacy Partnership, Latvia (2021–2022), specializing in high-performance liquid chromatography (HPLC) and mass spectrometry analyses.

Skills:

Paula has expertise in clinical research, pharmaceutical management, regulatory compliance, and trial coordination. She is skilled in data analysis, high-performance liquid chromatography (HPLC), gas chromatography (GC), nuclear magnetic resonance (NMR), and mass spectrometry. Additionally, she has strong mentoring, teaching, and academic research capabilities.

Awards & Recognitions:

Her academic excellence is reflected in her Summa Cum Laude distinction in her PhD program and Cum Laude in both her Master’s and Bachelor’s degrees. She has also been actively recognized in clinical research for her contributions to Parkinson’s Disease studies.

Research Focus:

Paula’s primary research interests center around Parkinson’s Disease, particularly in pharmacological management, shared decision-making, and movement disorders. Her recent work includes systematic reviews and meta-analyses on monoamine oxidase-B inhibitors, liquid subcutaneous Levodopa-Carbidopa, and adverse event incidences in Parkinson’s patients. She is also actively engaged in patient-practitioner knowledge studies and intra-individual voice variations in Parkinson’s Disease.

Top Noted Publication

Liquid Subcutaneous Levodopa-Carbidopa ND0612 Effects on Motor Symptoms in Individuals with Parkinson’s Disease: A Systematic Review and Meta-Analysis

  • Authors: Paula Abola, Mitchell Wolden, Kristin Lefebvre​

  • Year: 2024​

  • Journal: Advances in Parkinson’s Disease

Monoamine Oxidase-B Inhibitor Rasagiline Effects on Motor and Non-Motor Symptoms in Individuals with Parkinson’s Disease: A Systematic Review and Meta-Analysis

  • Authors: Paula Abola, Mitchell Wolden​

  • Year: 2024​

  • Journal: Advances in Parkinson’s Disease​

Conclusion

Paula Abola is an outstanding candidate for the Best Researcher Award, particularly in the fields of neuropharmacology, clinical trials, and Parkinson’s Disease management.
 Her strong academic record, extensive publications, and leadership in movement disorder societies make her a compelling nominee. While her research is highly specialized, expanding into interdisciplinary innovation, AI applications, and broader pharmaceutical collaborations could further solidify her position as a top researcher.

 

 

Clotaire Thierry Sanjong Dagang | Automation and Control | Best Researcher Award

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Dr. Clotaire Thierry Sanjong Dagang | Automation and Control | Best Researcher Award

Lecture at University of Dschang/FOTSO Victor University Institute of Technology in Bandjoun, Cameroon.

Dr. Clotaire Thierry Sanjong Dagang is a distinguished lecturer, researcher, and expert in electrical engineering and automation. He holds a Ph.D. in Physics (Electronics) from the University of Dschang, where he now teaches and conducts cutting-edge research in renewable energy automation and control systems. As a key member of the Automation and Signal Processing team, he has significantly contributed to renewable energy integration, control strategies for wind turbine systems, and AI-driven power optimization. His publications in high-impact journals reflect his dedication to advancing energy automation and applied electronics. Dr. Sanjong Dagang is passionate about bridging the gap between theoretical research and practical industrial applications, contributing to the development of sustainable energy solutions.

Publication Profile

Scopus 

Educational Details

  • 2017: Doctorate (Ph.D.) in Physics, specialization in Electronics – University of Dschang
  • 2013: Master of Science in Physics, specialization in Electronics – University of Dschang
  • 2009: Bachelor of Science in Electrical Engineering – IUT-FV of Bandjoun

Professional Experience

Dr. Clotaire Thierry Sanjong Dagang is currently a lecturer in the Electrical Engineering Department at the IUT-FV of Bandjoun, University of Dschang. He has been actively involved in teaching various undergraduate and graduate courses related to electrical engineering, electronics, electrotechnics, and automation. His teaching portfolio includes courses such as Electrical Machines, Electrical Circuits, Measurement Electronics, Simulation of Electrical Systems, and Industrial Electrical Networks and Diagrams.

Before his current full-time role, Dr. Sanjong Dagang served as a part-time lecturer at IUT-FV Bandjoun from 2013 to 2019, where he taught practical and theoretical courses in electronics, electrical engineering, and mechatronics. His extensive experience in academic instruction is complemented by his research activities in automatic control, applied computing, and signal processing, particularly in energy systems automation.

Research Interest

  • Renewable energy systems (wind turbine-based power generation)
  • Control strategies for self-excited induction generators and permanent magnet synchronous generators
  • Fuzzy logic and predictive control in power systems
  • Nonlinear dynamics and stability analysis in electrical circuits
  • Hybrid power systems optimization using artificial intelligence

Author Metrics:

  • Total Publications: 11+
  • Research Areas: Renewable energy, automation, control systems, electrical engineering

Top Noted Publication

Performance Enhancement for Stand-Alone Wind Energy Conversion System Using Super-Twisting Algorithm

Authors: Daniel Borice Tchoumtcha, Clotaire Thierry Sanjong Dagang, and Godpromesse Kenné

Journal: Energy Reports

Volume 13, June 2025

Conclusion

Dr. Clotaire Thierry Sanjong Dagang is a strong candidate for the Best Researcher Award, given his expertise in automation and control of renewable energy systems, his innovative AI-driven research, and his commitment to applied engineering solutions. To further strengthen his candidacy, he could increase international collaborations, expand research output, and secure major research grants in renewable energy automation.

 

 

Ji Mei | Environmental Science | Best Researcher Award

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Mr. Ji Mei | Environmental Science | Best Researcher Award

Ji Mei at School of Environmental Science and Engineering, Sun Yat-sen University, China.

Mr. Ji Mei holds an M.Sc. in Environmental Engineering from Zhejiang Normal University, where he focused on air pollutant degradation through adsorption and catalysis. With strong analytical skills and extensive experience in experimental research, he has authored multiple high-impact journal articles. His expertise spans catalyst synthesis, environmental monitoring, and instrumental analysis. Dedicated to solving environmental challenges, he is highly motivated, proactive, and continuously seeks innovative approaches in pollution control technologies.

Publication Profile

Scopus 

Educational Details

  • M.Sc. in Environmental Engineering, Zhejiang Normal University (2019 – 2022)
    • Research Focus: Adsorption and catalytic degradation of air pollutants (VOCs, NOx).
  • B.Sc. in Environmental Engineering, Nanjing Tech University (2015 – 2019)
    • Coursework: Physical Chemistry, Fluid Mechanics, Principles of Environmental Engineering, Water Pollution Control, Air Pollution Control, Environmental Monitoring, Instrumental Analysis.

Professional Experience

  • Research Assistant, Zhejiang Normal University (2022 – 2023)
    • Designed and conducted experiments on VOCs and NOx catalytic oxidation.
    • Independently built experimental platforms and improved methodologies.
    • Operated and maintained analytical instruments, including gas chromatography (FID, TCD) and catalyst characterization tools (XRD, BET, SEM, H2-TPR, in situ DRIFTS).
  • Intern, Zhejiang Provincial Academy of Environmental Science (2020 – 2021)
    • Assisted in environmental research projects and data analysis.
  • Intern, Nanjing Chengbei Wastewater Treatment Plant (2018)
    • Gained hands-on experience in wastewater treatment and environmental monitoring.

Research Interest

Mr. Ji Mei specializes in advanced adsorption and catalytic oxidation processes for air pollution control, focusing on Volatile Organic Compounds (VOCs) and nitrogen oxides (NOx). His work involves the synthesis and characterization of novel catalysts, including MOF-derived materials and metal oxides, to enhance efficiency in low-temperature catalytic reactions.

Top Noted Publication

Constructing Isolated Hydrophilic and Ozonophilic Sites Over TpBpy-COF Catalyst Enhances Ozone Decomposition Under Ambient Humidity

Authors: S. Zuo, Shulin; R. Zhang, Rumeng; J. Huang, Jiahao; J. Mei, Ji; D. Xia, Dehua

Journal: Applied Catalysis B: Environmental

Publication Year: 2025

Summary:
The study investigates the development of a TpBpy-COF-based catalyst with engineered hydrophilic and ozonophilic sites to improve ozone decomposition efficiency under humid conditions. The research highlights material synthesis, characterization, and catalytic performance, offering insights into enhanced air purification strategies.

Conclusion

Mr. Ji Mei is a strong candidate for the Best Researcher Award due to his impactful research in air pollution control, expertise in catalyst development, and contributions to high-impact journals. To further strengthen his profile, he can expand international collaborations, diversify research areas, and pursue leadership roles in research initiatives.

 

 

Anna Karunatilleke | Qualitative Study | Best Researcher Award

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Ms. Anna Karunatilleke | Qualitative Study | Best Researcher Award

Anna Karunatilleke at University of Kelaniya, Sri Lanka.

Ms. Anna Karunatilleke is an experienced maritime professional and researcher specializing in business administration, maritime labor policies, and logistics management. With a strong academic background and extensive sea and shore-based experience, she actively contributes to industry discourse on labor strategies, gender inclusion, and unconscious bias in the maritime sector. She is a dedicated advocate for seafarers’ rights and continues to engage in scholarly research and professional initiatives to advance knowledge and equity in the field.

Publication Profile

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Google Scholar

Educational Details

Ms. Anna Karunatilleke is currently pursuing a Doctor of Business Administration (DBA) at the University of Kelaniya (2021 – Present). She holds a Master of Business Administration (MBA) from the Postgraduate Institute of Management, University of Sri Jayawardenepura (2017-2020). Additionally, she has completed the Critical Media and Information Literacy program under the United Nations Development Programme (UNDP) and holds a Certificate of Competency as an Engineering Watch Officer, Class III (Marine Engineering) from the Ministry of Merchant Shipping (2013). Her certifications also include multiple STCW’95-compliant maritime training programs from CINEC, covering areas such as fire prevention, medical first aid, and advanced safety protocols.

Professional Experience

Ms. Karunatilleke has a strong background in both seafaring and shore-based maritime operations. She served as an Engine Cadet at Rickmers Reederei, Germany, on MCS Florida and Delmas Zambia, handling responsibilities related to vessel operations and maintenance. Transitioning to shore-based roles, she worked at Colombo Dockyard Limited (2010-2011), where she gained expertise across various departments, including calibration, automation, ship repair, and fire safety. She later served as an Assistant Quality and Planning Manager at Seagulf Consultancy Lanka (2014-2015), overseeing operations at the Beruwela shipyard. Her extensive experience in the maritime industry is complemented by leadership roles in academia and professional organizations.

Research Interest

Ms. Karunatilleke’s research interests lie at the intersection of maritime engineering, business administration, and transportation sector safety. She is particularly focused on the impact of human factors in maritime operations, safety learning through marine accident investigations, and enhancing seafarer welfare policies. Her contributions to global maritime discussions, including collaborations with IMarEST on safety policies and whitepapers, underline her commitment to industry advancements.

Top Noted Publication

Unconscious Bias Among Seafarers: A Review of the Theoretical Literature

  • Authors: A. Weerakoon Karunatilleke, H. Herath, U. Gunesekara
  • Journal: Pomorstvo
  • Volume: 38 (1)
  • Pages: 67-81
  • Year: 2024

Labour Compensation Strategies/Practices of Maritime Industry – Discussion on Critical Cases

  • Author: W.A. Karunatilleke
  • Journal: Економіка та суспільство (Economy and Society)
  • Year: 2022

Bridging the Waves: A Study of Gender Dynamics and Career Experiences Among Women Seafarers

  • Authors: A.W. Karunatilleke, H. Herath, T. Gunasekare
  • Conference: ICSDB 2024 and SLIIT Business School
  • Year: 2024

Constructal Law Conference (CLC 2023) – Freedom, Design, and Evolution, Turin (Italy), 21–22 September

  • Author: A.W. Karunatilleke
  • Conference: 12th Constructal Law Conference
  • Pages: 180
  • Year: 2023

Essentials in Logistics: Quick Notes to Supply Chain Management (Book 1)

  • Author: A.W. Karunatilleke
  • Year: 2024

Conclusion

Ms. Anna Karunatilleke is a strong candidate for the Best Researcher Award, given her impactful research on maritime labor policies, gender dynamics, and unconscious bias. Her ability to integrate academic insights with industry challenges makes her a distinguished researcher in her field. By focusing on high-impact publications, international collaborations, and policy development, she can further solidify her contributions to maritime research.

 

 

Suvendu Ojha | Bacteriology | Best Researcher Award

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Mr. Suvendu Ojha | Bacteriology | Best Researcher Award

Research Scholar at Institute of Life Sciences, Bhubaneswar, India.

Mr. Suvendu Ojha is a dedicated microbiologist specializing in antimicrobial resistance and bacterial pathogenesis. Currently completing his Ph.D. at BRIC-Institute of Life Sciences, Bhubaneswar, India, his research focuses on efflux-mediated drug resistance in Staphylococcus aureus. With expertise in microbiology, molecular biology, biophysical techniques, and antimicrobial drug discovery, he has contributed to multiple high-impact publications and a patent. His work has led to the identification of FDA-approved drug candidates that restore antibiotic susceptibility in MDR bacteria. He has also actively participated in COVID-19 testing at BSL-3 facilities and presented his research at various scientific forums.

Publication Profile

Scopus

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Educational Details

  • Ph.D. in Biotechnology (Microbiology) (Expected: March 2025)

    • Institution: BRIC-Institute of Life Sciences, Bhubaneswar, India

    • Thesis Title: Targeting Efflux-Mediated Drug Resistance in S. aureus to Enhance the Therapeutic Potential of Existing Antibiotics

    • Supervisor: Dr. Tushar Kant Beuria

  • Master of Science (M.Sc.) in Botany (January 2018)

    • Institution: Sambalpur University, India

  • Bachelor of Science (B.Sc.) in Botany (January 2016)

    • Institution: Udayanath Autonomous College of Science and Technology, India

Professional Experience

Junior/Senior Research Fellow (January 2019 – Present)
BRIC-Institute of Life Sciences, Bhubaneswar, India

  • Conducting research on efflux-mediated drug resistance in Staphylococcus aureus, with a focus on developing strategies to restore antibiotic susceptibility.

  • Expertise in microbiology, molecular biology, biophysical techniques, and drug discovery methodologies.

  • Experienced in working with BSL-2 and BSL-3 facilities, including COVID-19 testing.

  • Designed and optimized high-throughput screening assays for identifying novel efflux pump inhibitors.

  • Worked with murine subcutaneous infection models to study bacterial pathogenesis and therapeutic interventions.

Research Interest

  • Investigate efflux-mediated drug resistance in multidrug-resistant (MDR) bacterial pathogens.

  • Develop and repurpose FDA-approved drugs as efflux pump inhibitors to enhance antibiotic efficacy.

  • Explore biofilm inhibition mechanisms in bacterial infections.

  • Understand immune responses and bacterial pathogenesis to design novel therapeutic interventions.

  • Apply biophysical and biochemical techniques to study protein-drug interactions.

Top Noted Publication

1. Efflux Pump Modulation by Montelukast and Its Roles in Restoring Antibiotic Susceptibility in Multidrug-Resistant Staphylococcus aureus

📌 Authors: S. Ojha, S. Sinsinwar, P. Chatterjee, S. Biswal, P. Pradhan, T.K. Beuria
📌 Journal: eBioMedicine (The Lancet)
📌 Volume & DOI: eBioMedicine 114, 105658 (2025)
📌 Summary:

  • Investigates Montelukast, an FDA-approved drug, as a potential efflux pump inhibitor (EPI) in multidrug-resistant Staphylococcus aureus (MDR S. aureus).

  • Demonstrates that Montelukast enhances antibiotic susceptibility by modulating bacterial efflux pumps.

  • Utilizes biophysical assays and molecular docking to confirm Montelukast’s interaction with bacterial efflux proteins.

  • Implications: Provides a promising combination therapy to counteract antibiotic resistance in S. aureus.

2. Ajoene: A Natural Compound with Enhanced Antimycobacterial and Antibiofilm Properties Mediated by Efflux Pump Modulation and ROS Generation Against M. Smegmatis

📌 Authors: A. Sarangi, B.S. Das, I. Pahuja, S. Ojha, V. Singh, S. Giri, A. Bhaskar
📌 Journal: Archives of Microbiology
📌 Volume & Pages: 206 (12), 1-22 (2024)
📌 Summary:

  • Explores Ajoene, a sulfur-containing compound from garlic, as an efflux pump inhibitor in Mycobacterium smegmatis.

  • Demonstrates dual action of Ajoene:

    • Efflux pump inhibition, leading to increased antibiotic retention inside bacterial cells.

    • Reactive Oxygen Species (ROS) generation, causing bacterial stress and enhanced cell death.

  • Findings suggest that Ajoene has strong antibiofilm properties, making it a promising natural antimicrobial agent for tuberculosis drug development.

3. Thymol as a Biofilm and Efflux Pump Inhibitor: A Dual-Action Approach to Combat Mycobacterium tuberculosis

📌 Authors: B. Shankar Das, A. Sarangi, I. Pahuja, V. Singh, S. Ojha, S. Giri, A. Bhaskar
📌 Journal: Cell Biochemistry and Function
📌 Volume & DOI: 42 (8), e70030 (2024)
📌 Summary:

  • Investigates Thymol, a natural phenolic compound, as a potent efflux pump and biofilm inhibitor against Mycobacterium tuberculosis.

  • Shows that Thymol disrupts bacterial biofilms, thereby enhancing antibiotic penetration.

  • Provides mechanistic insights into how Thymol modulates bacterial efflux pumps, improving antibiotic efficacy.

  • Potential application: Could be developed as a natural adjuvant therapy to combat drug-resistant tuberculosis (MDR-TB).

Conclusion

Mr. Suvendu Ojha is a strong contender for the Best Researcher Award due to his pioneering work in antimicrobial resistance, high-impact publications, and expertise in microbiology and drug discovery. His research is highly translational, with potential real-world applications in infectious disease treatment. While he can enhance his profile through greater leadership roles and independent funding, his existing contributions make him a highly suitable candidate for this award.

 

 

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

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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.

Publication Profile

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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

Posted on by Best Paper Award

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.

Publication Profile

Orcid

Google Scholar

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

Posted on by Best Paper Award

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.

Publication Profile

Orcid

Google Scholar

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.