Kaan Koçali | Occupational Health and Safety | Best Researcher Award

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Assist. Prof. Dr. Kaan Koçali | Occupational Health and Safety | Best Researcher Award

Kaan Koçali at Occupational Health and Safety, Turkey.

Dr. Kaan Koçali is an esteemed academic specializing in occupational health and safety, with a particular focus on hazardous industries such as mining. Currently serving as an Assistant Professor at Istanbul Gelişim University, he has made significant contributions to the field through his research, teaching, and leadership roles. Dr. Koçali’s work encompasses risk assessment methodologies, occupational diseases, and the development of proactive safety performance indicators. His interdisciplinary approach integrates technological tools like data analytics and simulation models to enhance real-time decision-making and compliance in workplace safety practices.

Publication Profile

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Education

  • Ph.D. in Occupational Health and Safety, Istanbul Aydın University, Institute of Graduate Education (2021)
    Thesis: Legal Responsibilities of Permanent Supervisors Working in Mines within the Framework of Laws No. 3213 and 6331 and the Development of a Certification Monitoring-Control System
    Advisor: Reşit Erçetin

  • M.Sc. in Mining Engineering (Thesis-based), Istanbul University, Graduate School of Science (2016)
    Thesis: Investigation of the Effects of Boron Compounds on Solar Energy Panels
    Advisor: Prof. Dr. Şafak Gökhan Özkan

  • M.Sc. in Occupational Health and Safety (Non-thesis), Istanbul Aydın University, Graduate School of Science (2016)

  • B.Sc. in Mining Engineering, Istanbul University, Faculty of Engineering (2011)

  • B.Sc. in Business Administration, Anadolu University, Faculty of Business (2022)

  • B.Sc. in Entrepreneurship (Full Scholarship), Istanbul Kültür University, Faculty of Economics and Administrative Sciences (Expected graduation: Jan 2025)

Professional Experience:

Dr. Koçali has held various academic and administrative positions, including serving as the Program Head and Department Chair of the Occupational Health and Safety Program at Istanbul Gelişim University. He has also been involved in international collaborations, participating in Erasmus+ Staff Mobility programs in Germany and North Macedonia. His professional experience extends to leading and contributing to numerous national and international research projects supported by organizations such as TÜBİTAK, KOSGEB, and the European Union.

Academic Appointments

  • Assistant Professor, Istanbul Gelişim University
    Department of Occupational Health and Safety, since 31 August 2021

  • Visiting Scholar,

    • Smart Leap – Education Research Consultancy GmbH, Düsseldorf, Germany (Erasmus+ Training Mobility, May 2024)

    • Megunaroden Slavjanski Universitet, Faculty of Safety Engineering, Skopje, North Macedonia (Erasmus+ Training Mobility, May 2024)

Research Interests

  • Occupational health and safety (OHS) in mining

  • Industrial risk assessment and legal compliance

  • Ergonomics and anthropometric data in OHS

  • Mining technology and software development

  • REACH Directive implementation in chemical safety

Awards & Honors

  • Academic Research Impact Award, SHEN Conferences, India (2024)

  • Academic Performance Award – Unit Third Place, Istanbul Gelişim University (2024)

  • Best Researcher Award, Int’l Research Awards on Cybersecurity and Cryptography, India (2024)

  • Best Researcher Award, Int’l Research Awards on Science, Health, and Engineering, India (2023)

  • Top Researcher Award, International Conference on Cybersecurity and Cryptography, India (2024)

Author Metrics:

  • Publications: 54

  • Total Reads: 21,028

  • Citations: 123

  • H-Index: 7

  • i10-Index: 7

Top Noted Publication

1. Standardization of Social Security Institution’s Work Accident Indicators Between 2012–2020

  • Author: Kaan Koçali

  • Journal: Journal of Academic Approaches

  • Volume/Issue: 12(2), Pages 302–327

  • Publication Date: December 15, 2021

  • DOI: 10.54688/ayd.1012081

  • Citations: 15

  • Summary: This study analyzes occupational accident data from Turkey’s Social Security Institution between 2012 and 2020. It calculates and compares the frequency and severity rates of work accidents over the years, revealing a 347.25% increase in accident frequency and a 43.79% rise in severity. The research highlights that despite preventive measures, the incidence of work accidents has not decreased, emphasizing the need for more effective safety strategies.

2. Calculation of Occupational Accident Indicators of Türkiye

  • Author: Kaan Koçali

  • Book Chapter: INSAC Social and Education Sciences

  • Editors: Mehmet Dalkılıç, Betül Serbest Yılmaz

  • Publisher: Duvar Yayınları, İzmir

  • Pages: 222–250

  • Publication Year: 2021

  • Summary: This chapter presents a comprehensive analysis of occupational accident indicators in Turkey. Utilizing data from the Social Security Institution for the years 2012–2020, it calculates the frequency and severity rates of work accidents. The study provides insights into the trends and patterns of occupational accidents, serving as a valuable resource for policymakers and safety professionals.

3. Investigation of Occupational Health and Safety Culture and Practice in Open Pit Mining Enterprises with Worker Surveys

  • Author: Kaan Koçali

  • Journal: Scientific Mining Journal

  • Volume/Issue: 57(1), Pages 15–24

  • Publication Year: 2018

  • Summary: This research investigates the occupational health and safety culture in open-pit mining enterprises through worker surveys. It assesses the implementation of safety measures and the awareness levels among workers, identifying areas where safety practices can be improved to prevent accidents and enhance the overall safety culture in the mining sector.

4. Liability and Fault Rates in Mining Accidents

  • Author: Kaan Koçali

  • Publisher: Nobel Publishing Bookstore

  • Publication Year: 2021

  • Summary: This book delves into the legal aspects of mining accidents, focusing on the determination of liability and fault rates. It analyzes various case studies to understand the distribution of responsibility among different stakeholders in mining operations, providing a legal framework for addressing occupational accidents in the mining industry.

5. Recommendations on Non-Conformities in Coal Mining in Light of the Şırnak Coal Mine Accident

  • Author: Kaan Koçali

  • Conference: Türkiye 21st International Coal Congress (ICCET 2018)

  • Pages: 387–399

  • Publication Year: 2018

  • Summary: This conference paper examines the Şırnak coal mine accident, identifying non-conformities in coal mining practices that contributed to the incident. It offers recommendations to address these issues, aiming to improve safety standards and prevent similar accidents in the future.

Conclusion

Assist. Prof. Dr. Kaan Koçali presents a compelling case for the Best Researcher Award in Occupational Health and Safety. With a comprehensive portfolio that spans academic excellence, policy-relevant research, international collaboration, and leadership in high-risk sectors like mining, he clearly meets and exceeds the standards expected of a top-tier researcher in his field.

 

Sujeet Kumar | Double Sequence Spaces | Best Paper Award

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Mr. Sujeet Kumar | Double Sequence Spaces | Best Paper Award

Sujeet Kumar at Tripura University, India.

Prof. May El Barachi is a Canadian computer scientist and seasoned academic leader known for her transformative impact on education, research, and innovation. She is currently a Full Professor and Head of the School of Computer Science at the University of Wollongong in Dubai. Over her 15+ year career, she has secured over 5 million AED in research funding, published 110+ high-impact papers, and built a global network of collaborations across academia and industry. Her work bridges cutting-edge AI research with real-world applications in smart systems and sustainable development. A passionate advocate for diversity, inclusion, and lifelong learning, she holds a UAE Golden Visa and is fluent in English, Arabic, and French.

Publication Profile

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Education

  • Ph.D. in Computer Science, Concordia University, Montréal, Canada (2004–2009)
    Specialization: Next Generation Networks, Service Engineering, Network Intelligence and Adaptation

  • M.A.Sc. in Electrical and Computer Engineering, Concordia University, Montréal, Canada (2002–2004)
    Specialization: Web Services, IP Telephony, Multimedia Communications

  • B.Sc. in Electronics and Communication Engineering, Arab Academy for Science, Technology & Maritime Transport, Alexandria, Egypt (1995–2000)
    Graduated Valedictorian with Honors; Specialization in Object Recognition, Remote Sensing, and Neural Networks

Professional Experience

Prof. May El Barachi is a visionary academic leader and full professor of Computer Science with over 15 years of experience across the UAE, Canada, and Europe. She currently serves as the Head of the School of Computer Science at the University of Wollongong in Dubai (UOWD), where she has led transformational initiatives, including a 400% increase in enrollment, the development of innovative Master’s programs in AI and Cybersecurity, and the establishment of a widely recognized Executive Learning Program that has trained over 2,500 professionals.

Previously, she held the roles of Associate Dean of Research and Associate Professor at UOWD, where she restructured research clusters around Sustainable Development Goals, drove multi-million-dirham funding acquisition, and played a pivotal role in Ph.D. program development. At Zayed University, she served as Smart Lab Director and co-founder, pioneering research on smart cities and AI-driven systems, while also leading curriculum development and accreditation efforts. Her earlier experience includes postdoctoral research at the University of Quebec (ETS), and roles in industry-academic collaborations at Ericsson Canada and the Ambient Networks Project in Sweden, focusing on web services, context-aware networks, and next-generation telecom systems.

Research Interests

  • Artificial Intelligence and Machine Learning: including deep learning, computer vision, natural language processing (NLP), reinforcement learning, and ethical AI

  • Emerging Technologies & Applications: smart cities, smart healthcare systems, autonomous systems, and digital transformation

  • Next Generation Networks: context-aware networking, IoT integration, and cloud computing

  • Interdisciplinary Innovation: leveraging AI for societal challenges, particularly in sustainable development, cybersecurity, and educational technology

Top Noted Publication

1. Evaluating the Impact of COVID-19 on Multimodal Cargo Transport Performance: A Mixed-Method Study in the UAE Context

  • Authors: Rami Aljadiri, Balan Sundarakani, May El Barachi

  • Journal: Sustainability

  • Volume & Issue: 15(22)

  • Article Number: 15703

  • Publication Date: November 7, 2023

  • DOI: 10.3390/su152215703

  • Abstract: This study examines the challenges and opportunities of multimodal cargo transport in the UAE during the COVID-19 pandemic (2020–2022). Utilizing a mixed-method approach, the research involved qualitative interviews with five senior logistics executives and quantitative surveys with 120 participants. Findings indicate a significant relationship between geographical/geopolitical risks and increased shipping costs, emphasizing the need for secure and cost-effective multimodal solutions. The study offers insights for enhancing logistics performance in transit hubs during uncertain times.

2. E2DNE: Energy Efficient Dynamic Network Embedding in Virtualized Wireless Sensor Networks

  • Authors: Vahid Maleki Raee, Amin Ebrahimzadeh, Roch H. Glitho, May El Barachi, Fatna Belqasmi

  • Journal: IEEE Transactions on Green Communications and Networking

  • Volume & Issue: 7(3)

  • Pages: 1309–1325

  • Publication Year: 2023

  • DOI: 10.1109/TGCN.2023.3271230

  • Abstract: The paper introduces E2DNE, a novel approach for energy-efficient dynamic network embedding in virtualized wireless sensor networks (VWSNs). By optimizing resource allocation and reducing energy consumption, E2DNE enhances the performance and sustainability of VWSNs, making them more adaptable to varying network demands.

3. Secure Data Access Using Blockchain Technology Through IoT Cloud and Fabric Environment

  • Authors: Sangeeta Gupta, Premkumar Chithaluru, May El Barachi, Manoj Kumar

  • Journal: Security and Privacy

  • Publication Date: November 23, 2023

  • DOI: 10.1002/spy2.356

  • Abstract: This study addresses the challenges of secure data access in IoT environments by integrating blockchain technology with cloud computing. The proposed framework leverages the Hyperledger Fabric platform to ensure data integrity, confidentiality, and scalability, providing a robust solution for managing IoT data securely.

4. Combining Named Entity Recognition and Emotion Analysis of Tweets for Early Warning of Violent Actions

  • Authors: May El Barachi, Sujith Samuel Mathew, Manar AlKhatib

  • Conference: 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)

  • Publication Date: July 7–8, 2022

  • DOI: 10.23919/SpliTech55088.2022.9854231

  • Abstract: The paper presents a proactive framework that combines Named Entity Recognition (NER) and emotion analysis to detect early warning signs of potential violent actions from social media content. By analyzing tweets related to the 2020 US presidential election, the study demonstrates the framework’s effectiveness in identifying negative sentiments associated with specific entities, offering a tool for early intervention strategies.

5. A Green, Energy, and Trust-Aware Multi-Objective Cloud Coalition Formation Approach

  • Authors: Souad Hadjres, Fatna Belqasmi, May El Barachi, Nadjia Kara

  • Journal: Future Generation Computer Systems

  • Volume: 111

  • Pages: 52–67

  • Publication Date: October 2020

  • DOI: 10.1016/j.future.2020.04.030

  • Abstract: This research proposes a multi-objective approach for forming cloud coalitions that are energy-efficient and trust-aware. The algorithm considers factors like energy consumption, trust levels among providers, and service quality to form optimal coalitions. Experimental results show improvements in coalition size, provider payoff, and reduced mistrust costs, highlighting the approach’s potential for sustainable cloud computing.

Conclusion

Mr. Sujeet Kumar’s paper on Double Sequence Spaces is a strong contender for a Best Paper Award in a theoretical or mathematical research category. Its specialized and rigorous nature, especially if extended to bi-complex number systems or statistical convergence, makes it well-aligned with academic excellence criteria.

However, to enhance competitiveness:

  • Ensure the paper is indexed or published in high-impact journals (e.g., Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences).

  • Amplify online visibility and articulate real-world applications or theoretical implications more clearly.

 

Kawthar Babatunde | Energy | Young Scientist Award

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Ms. Kawthar Babatunde | Energy | Young Scientist Award

Researcher at Penn state university, United States.

Ms. Kawthar Babatunde is a Ph.D. candidate in Energy and Mineral Engineering at The Pennsylvania State University with a multidisciplinary background in petroleum engineering, data science, and molecular simulation. With research spanning multicomponent gas transport, CO₂/H₂ storage, and shale reservoir behavior, she has developed advanced modeling tools to address energy and environmental challenges. She has held leadership roles in academic and professional societies, and her contributions have been recognized with awards including 1st place at the SPE Ph.D. Student Paper Contest (ENA/Mid-Con Region, 2024) and the prestigious WAAIME Scholarship. Ms. Babatunde is an advocate for interdisciplinary research, data-driven energy solutions, and female representation in STEM.

Publication Profile

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Education

  • Ph.D. in Energy and Mineral Engineering (2022 – 2025, expected)
    The Pennsylvania State University, USA
    GPA: 3.6/4.0
    Thesis: Multicomponent Gas Transport in Organic-Rich Nanoporous Media
    Advisor: Dr. Hamid Emami-Meybodi

  • M.Sc. in Petroleum Engineering (2019 – 2021)
    Universiti Teknologi Petronas, Malaysia
    GPA: 3.7/4.0
    Thesis: Molecular Modeling of Multicomponent Gas Adsorption on Heterogeneous Shale Surface
    Advisor: Dr. Berihun Mamo Negash

  • B.Sc. in Petroleum and Gas Engineering (2013 – 2017)
    University of Lagos, Nigeria
    GPA: 3.48/4.0
    Thesis: Investigation of the Effect of Rice Husk and Cassava Peel on the Rheological Properties of Drilling Mud
    Advisor: Dr. Adegboyega Ehinmowo

Professional Experience

Ms. Kawthar Babatunde is currently a Graduate Research Assistant at The Pennsylvania State University, where she leads research on species-based gas transport in low-permeability unconventional reservoirs. She has developed mathematical models for CO₂ and H₂ injection processes and proposed diffusion-based models for multicomponent gas transport.

Previously, she served as a Data Scientist at Brainiacs STEM and Robotics in Nigeria, where she applied Python-based data analysis techniques to support business decisions and led a data science team. At Universiti Teknologi Petronas, she worked as a Graduate Research and Teaching Assistant, where she conducted molecular dynamics simulations and supported teaching in data science and fluid mechanics. Her early experience includes a Piping Engineering Internship at Ariosh Ltd. in Lagos, where she contributed to pipeline design for the Nigeria LNG Company.

She also has significant teaching experience as a Teaching Assistant at Penn State and UTP, where she assisted in courses ranging from well-logging and production engineering to Python and data science.

Research Interests

  • Unconventional Reservoir Engineering

  • Multicomponent Gas Transport in Nanoporous Media

  • Molecular Modeling and Simulation

  • CO₂ and H₂ Injection Modeling

  • Shale Gas Adsorption Mechanisms

  • Energy Transition Technologies

  • Machine Learning Applications in Reservoir Engineering

Awards:

  • SPE Student Paper Contest (PhD), 1st Place, 2024

  • WAAIME Scholarship, SME (2023, 2024)

  • Penn State University Graduate Fellow, Anne C. Fellow (2022–2023)

  • Outstanding Executive Award, UTP (2021)

  • Student Leader Grant, University of Lagos (2017)

Top Noted Publication

  1. Molecular simulation study of CO₂/CH₄ adsorption on realistic heterogeneous shale surfaces
    K.A. Babatunde, B.M. Negash, M.R. Mojid, T.Y. Ahmed, S.R. Jufar
    Applied Surface Science, Vol. 543, 148789, 2021
    Citations: 71

  • Performed detailed molecular simulations of gas adsorption on heterogeneous shale surfaces.

  • Pioneered a method to capture real mineral surface heterogeneity in adsorption studies.

  1. Adsorption of gases on heterogeneous shale surfaces: A review
    K.A. Babatunde, B.M. Negash, S.R. Jufar, T.Y. Ahmed, M.R. Mojid
    Journal of Petroleum Science and Engineering, Vol. 208, 109466, 2022
    Citations: 65

  • Comprehensive review of gas adsorption mechanisms in shale.

  • Identified challenges and prospects in modeling gas-solid interactions in shale formations.

  1. Species-based modeling of binary gas mixture transport in nanoporous media with adsorption
    K. Babatunde, H. Emami-Meybodi
    Energy & Fuels, Vol. 38 (21), pp. 20515–20534, 2024
    Citations: 3

  • Developed a novel species-specific diffusion model incorporating adsorption dynamics.

  • Applied to CO₂ and CH₄ binary gas systems in organic-rich nanoporous shale.

  1. A state-of-the-art review on waterless gas shale fracturing technologies
    M.R. Mojid, B.M. Negash, H. Abdulelah, S.R. Jufar, B.K. Adewumi
    Journal of Petroleum Science and Engineering, Vol. 196, 108048, 2021
    Citations: 94

  • Ms. Babatunde contributed conceptually and through molecular analysis to the team.

  • Focused on CO₂-based and surfactant-enhanced alternatives for waterless fracking.

  1. Effects of a viscoelastic surfactant on supercritical carbon dioxide thickening for gas shale fracturing
    M.R. Mojid, B.M. Negash, K.A. Babatunde, T.Y. Ahmed, S.R. Jufar
    Energy & Fuels, Vol. 35 (19), pp. 15842–15855, 2021
    Citations: 6

  • Investigated the use of viscoelastic surfactants to improve CO₂ viscosity for hydraulic fracturing.

  • Ms. Babatunde contributed to simulation and modeling aspects of the study.

Conclusion

Ms. Kawthar Babatunde clearly exemplifies the qualities of a rising research leader in the energy domain. Her strong publication record, innovative modeling work, and active engagement in both research and advocacy make her a highly deserving candidate for the Research for Young Scientist Award.

She is not only contributing to cutting-edge technical knowledge but is also shaping the future of energy through interdisciplinary collaboration and inclusivity.

 

Vigneshwaran Jagadeesan Pugazhenthi | Customer Experience | Industry Impact Award

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Mr. Vigneshwaran Jagadeesan Pugazhenthi | Customer Experience | Industry Impact Award

Technology Architect/Manager at Cognizant,USA.

Mr. Vigneshwaran Jagadeesan Pugazhenthi is a Contact Center Technology Specialist and Automation Architect with extensive experience in QA and test automation across cloud platforms and enterprise contact center solutions. His work merges practical engineering with research, focusing on enhancing software testing processes using AI, RPA, and cloud-native technologies. He has co-authored several research papers in reputed journals on software testing, automation in healthcare, and client service innovation. He actively leads initiatives that drive test effectiveness and performance efficiency using tools like Cyara, Selenium, and UiPath in large-scale production environments.

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Education

  • Bachelor of Engineering (B.E.) in Computer Science and Engineering
    College of Engineering, Guindy – Chennai, India

Professional Experience

Mr. Vigneshwaran J. Pugazhenthi is a seasoned Contact Center Technology Architect with over 11 years of experience, specializing in Genesys Cloud, AWS Connect, and Cyara. He has led large QA and automation teams in Fortune 500 organizations such as Cognizant and Accenture across multiple geographies including the USA and India. His technical expertise spans IVR testing automation, RPA with UiPath, Selenium with Cucumber, and Cloud Contact Center migration. He has built and led initiatives in performance testing, CI/CD testing, test automation frameworks, and developed custom speech-enabled call flows using Lex, Lambda, and DynamoDB. Vigneshwaran is also a certified AWS Solution Architect Associate, Microsoft Azure Fundamentals, and HashiCorp Terraform Associate among several other industry certifications.

Research Interests

  • Contact Center Automation and Optimization

  • AI and Robotics in Software Testing

  • IVR Quality Testing and Voice Quality Measurement

  • Cloud Migration Strategies for Contact Centers

  • Automation in Healthcare and Client Services

  • Framework Development in Test Engineering

Author Metrics

  • Total Publications: 5

  • Total Citations: 55+

  • h-index: 4

  • Notable Journals Published In:

    • International Journal of Advanced Research in Computer and Communication Engineering

    • European Journal of Computer Science and Information Technology

    • Journal of Emerging Technologies and Innovative Research

Top Noted Publication

  • Advances in Software Testing in 2024: Experimental Insights, Frameworks, and Future Directions
    G. Pandy, V.J. Pugazhenthi, A. Murugan
    International Journal of Advanced Research in Computer and Communication Engineering, 15 citations, 2024

  • Real Value of Automation in the Healthcare Industry
    G. Pandy, V.G. Pugazhenthi, J.K. Chinnathambi
    European Journal of Computer Science and Information Technology, 13 citations, 2024

  • Smart Automation for Client Service Agreement: Robotics in Action
    G. Pandy, V.J. Pugazhenthi, J.K. Chinnathambi, A. Murugan
    Journal ID 9471, 13 citations, 2024

  • Voice Quality Technology and Testing: Advancements, Techniques, and Applications
    S. Nadendla, V. Jagadeesan Pugazhenthi, J. Singh, E. Visagan, G. Pandy
    Journal of Emerging Technologies and Innovative Research, 9 citations, 2024

  • AI-Powered Robotics and Automation: Innovations, Challenges, and Pathways to the Future
    G. Pandy, V.J. Pugazhenthi, A. Murugan, B. Jeyarajan
    European Journal of Computer Science and Information Technology, 5 citations, 2025

Conclusion

Mr. Vigneshwaran Jagadeesan Pugazhenthi is a strong candidate for the Research for Industry Impact Award. His work stands at the forefront of translating automation research into real-world customer service transformation, particularly in contact center technologies, AI-based testing, and cloud systems. With further academic expansion and sustained research output, he is positioned to become a leading figure in industrial research for digital customer experience systems.

 

Puliang Yu | Fluid lubrication | Best Researcher Award

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Mr. Puliang Yu | Fluid lubrication | Best Researcher Award

Associate Professor at Wuhan University of Science and Technology, China.

Dr. Puliang Yu is an Associate Professor in the School of Mechanical Automation at Wuhan University of Science and Technology. With a doctorate from Huazhong University of Science and Technology, he specializes in nonlinear dynamics, aerostatic bearing systems, and precision engineering. Dr. Yu has led several national and provincial-level research projects and published widely across mechanical and interdisciplinary engineering domains. His current work extends into intelligent mechanical systems and their biomedical applications.

Publication Profile

Scopus

Education

Dr. Puliang Yu holds a Ph.D. in Mechanical Engineering from the School of Mechanical Science and Engineering at Huazhong University of Science and Technology (2009–2016). He earned both his Master’s (2006–2009) and Bachelor’s degrees (2002–2006) in Mechanical Engineering from the School of Mechanical Automation at Wuhan University of Science and Technology.

Professional Experience

Dr. Yu began his academic career in July 2016 as a Lecturer in the School of Mechanical Automation at Wuhan University of Science and Technology. In November 2019, he was promoted to Associate Professor at the same institution, where he continues to teach and conduct research in mechanical systems, dynamic modeling, and aerostatic bearing technologies.

Research Interests

  • Nonlinear dynamics and control of aerostatic bearings

  • Precision engineering and active suspension systems

  • Multi-source disturbance analysis in mechanical systems

  • Micro-structured mechanical design for improved dynamic stability

  • Biomedical data analysis and engineering applications in healthcare

  • Data imbalance and oversampling in machine learning for industrial engineering

Author Metrics

  • Total Publications: 10+ peer-reviewed articles

  • Primary Roles: First author on 3 publications; Corresponding author on 4

  • Top Impact Factor Journal: Computers & Industrial Engineering (IF = 7.9)

  • Average Journal Impact Factor: ~3.5

  • Fields of Publication: Mechanical Engineering, Biomedical Engineering, Materials Science, Industrial Data Analytics

Top Noted Publication

  • Optimization Design of Aerostatic Bearings (Lubricants, 2022)

  • Thermal Conductivity of SiC-Mullite Ceramics (Ceramics International, 2023)

  • Density-Based Oversampling in Industrial Systems (Computers & Industrial Engineering, 2023)

  • Dynamic Stiffness Analysis under Perturbations (IJPEM, 2015)

  • Biomedical Meta-Analysis of Visfatin and Hypertension Risk (Hormone and Metabolic Research, 2019)

Conclusion

Dr. Puliang Yu is well-suited for the Best Researcher Award within his specialization. His innovative work in aerostatic bearings, his integration of AI in industrial systems, and his foray into biomedical engineering reflect a strong interdisciplinary and applied focus. With continued growth in research output, global visibility, and industry-academic collaboration, he has the potential to not only merit this award but to become a leading figure in the evolving intersection of mechanical engineering and smart systems.

 

Sudharson K | Information and Communication | Best Academic Researcher Award

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Dr. Sudharson K | Information and Communication | Best Academic Researcher Award

Associate Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India.

Dr. Sudharson K is an accomplished academician and researcher in the domain of secure communication systems, currently serving as Associate Professor at Vel Tech University, Tamil Nadu. With over 19 years of teaching and research experience, his academic journey has spanned several esteemed institutions where he has consistently contributed to advancements in quantum cryptography, mobile ad hoc networks (MANETs), artificial intelligence, and data science. He is recognized for his innovative integration of Quantum Elliptic Curve Cryptography (QECC) and data mining techniques for network security and is the recipient of the “Award of Excellence in Research” for 2023–2024.

Publication Profile

ORCID

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Education

  • Ph.D. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (January 2011)
    Thesis: Probability Distribution Function Based Face Recognition Boosted by Data Fusion
    Supervisor: Prof. Hasan Demirel

  • M.Sc. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (June 2008)
    Thesis: A New Face Recognition System Based on Colour Statistics
    Supervisor: Prof. Hasan Demirel ​

  • B.Sc. in Electrical and Electronic Engineering (High Honors)
    Eastern Mediterranean University, Cyprus (January 2007)
    Project: Explorer Robot
    Supervisor: Dr. Mustafa K. Uyguroğlu

Professional Experience

Dr. Sudharson has held several academic positions over the years, progressively advancing from Lecturer to Associate Professor. He is currently serving at Vel Tech University (2025–Present). Previously, he held positions at:

  • R.M.D. Engineering College (2023–2025) – Associate Professor, AI & ML

  • Rajalakshmi Engineering College (2022–2023) – Assistant Professor (SG), Computer Science & Business Systems

  • Velammal Institute of Technology (2019–2022) – Assistant Professor, Information Technology

  • T.J.S. Engineering College (2017–2019) – Assistant Professor, CSE

  • S.A. Engineering College (2007–2017) – Assistant Professor, IT

  • Sriram Engineering College (2005–2007) – Lecturer, IT

Throughout his career, Dr. Sudharson has led academic and research initiatives in AI, quantum security, and network simulations, and has mentored numerous students in project development and thesis work.

Research Interests

  • Quantum Cryptography & Quantum Elliptic Curve Cryptography (QECC)

  • Mobile Ad Hoc Networks (MANETs) and Security Protocols

  • Artificial Intelligence and Machine Learning

  • Secure Communication Systems

  • Simulation Modeling using NS2/NS3

  • Data Science and Visualization

  • Internet of Things (IoT) and Cloud Computing

Certifications

  • NPTEL (IIT Kharagpur): Internet of Things, Cloud Computing, Deep Learning (Elite/Gold/Silver)

  • Infosys Springboard: IoT Foundation, Deep Learning with TensorFlow

  • Cisco: Introduction to Cybersecurity

  • AWS & Wipro Certified Faculty

Awards & Achievements

  • Award of Excellence in Research (2023–2024)

  • AWS Certified Faculty (2022)

  • Wipro Certified Faculty (2020)

  • Best Student Award (2010–2011 PG Programme)

  • Best Academic Performer (1994–1995)

  • Best Overall Performer (1996–1997)

Top Noted Publication

  1. Hybrid Deep Learning Neural System for Brain Tumor Detection
    Authors: K. Sudharson, A.M. Sermakani, V. Parthipan, D. Dhinakaran, et al.
    Conference: 2022 2nd International Conference on Intelligent Technologies (CONIT)
    Pages: 1–6
    Citations: 49
    Year: 2022
    Summary: Developed a hybrid deep learning system integrating CNN and LSTM architectures to enhance accuracy in brain tumor classification from MRI scans.

  1. Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography
    Authors: B. Murugeshwari, D. Selvaraj, K. Sudharson, S. Radhika
    Journal: Intelligent Automation & Soft Computing, Volume 35, Issue 1
    Citations: 43
    Year: 2023
    Summary: Proposed a secure data mining model using Precise Elliptical Curve Cryptography (PECC) to maintain data confidentiality during knowledge discovery processes.

  2. DEFECT: Discover and Eradicate Fool Around Node in Emergency Network Using Combinatorial Techniques
    Authors: S. Arun, K. Sudharson
    Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 5, Pages 5995–6006
    Citations: 39
    Year: 2023
    Summary: Introduced a novel approach, DEFECT, that uses combinatorial methods for identifying and eliminating malicious nodes in emergency Mobile Ad Hoc Networks (eMANETs).

  3. Efficient Soil Condition Monitoring with IoT Enabled Intelligent Farming Solution
    Authors: K. Sudharson, B. Alekhya, G. Abinaya, C. Rohini, S. Arthi, D. Dhinakaran
    Conference: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Sciences
    Citations: 38
    Year: 2023
    Summary: Designed an IoT-based intelligent farming system for real-time soil health tracking and data-driven agricultural decision-making.

  4. NUITECH – Natural User Interface Technique for Emulating Computer Hardware
    Authors: K. Sudharson, A.M. Ali, N. Partheeban
    Journal: International Journal of Pharmacy & Technology, Volume 8, Issue 4, Pages 23598–23606
    Citations: 37
    Year: 2016
    Summary: Developed a gesture-based natural user interface system (NUITECH) aimed at enhancing human-computer interaction by emulating hardware control through body motion.

Conclusion

Dr. Sudharson K is highly suitable for the Best Academic Researcher Award based on his breadth and depth of research, innovation in secure communication systems, dedication to teaching, and academic excellence over nearly two decades. His work bridges core theoretical research and practical innovation, particularly in quantum security and AI-driven solutions, which are critical in today’s technological landscape.

While greater emphasis on global collaboration, IP creation, and grant acquisition would further solidify his profile, his current contributions justify recognition at a high level.

 

Gholamreza Anbarjafari | Generative AI | Best Researcher Award

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Prof. Gholamreza Anbarjafari | Generative AI | Best Researcher Award

Professor at Estonian Business School Estonia.

Professor Gholamreza Anbarjafari, also known as Shahab, is a distinguished AI scientist with over 15 years of experience in leading and developing cutting-edge solutions in AI, Generative AI, Machine Learning, Medical Signal Processing, and Computer Vision. He has held prominent academic positions, including Professor and Head of the iCV Lab at the University of Tartu and Visiting Professor roles at Yildiz Technical University and Estonian Business School. His professional journey includes significant contributions to industry, notably as Director of AI at PwC Finland, where he leads AI and GenAI initiatives across the Nordic region. An IEEE Senior Member, Professor Anbarjafari has been recognized with several awards, including the Best Lecturer award and the Best Paper award by ETRI Journal. His research has garnered substantial funding, and he has a robust publication record with a high h-index and numerous citations, reflecting his impact in the field.​

Publication Profile

ORCID

Scopus

Google Scholar

Education

  • Ph.D. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (January 2011)
    Thesis: Probability Distribution Function Based Face Recognition Boosted by Data Fusion
    Supervisor: Prof. Hasan Demirel

  • M.Sc. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (June 2008)
    Thesis: A New Face Recognition System Based on Colour Statistics
    Supervisor: Prof. Hasan Demirel ​

  • B.Sc. in Electrical and Electronic Engineering (High Honors)
    Eastern Mediterranean University, Cyprus (January 2007)
    Project: Explorer Robot
    Supervisor: Dr. Mustafa K. Uyguroğlu

Professional Experience

  • Director of AI, PwC Finland (March 2020 – Present)
    Leads AI and Generative AI (GenAI) strategy development, spearheading initiatives across the Nordic region. Provides consultancy on AI, GenAI, and computer vision solutions to diverse industries, including FinTech, AgriTech, EduTech, and SecurTech. Developed multiple LLM and deep learning-based solutions for clients in HRTech, banking, and cybersecurity sectors.​

  • Visiting Professor, Estonian Business School, Tallinn, Estonia (September 2024 – Present)
    Assists in developing AI-related grants and R&D projects.​

  • Visiting Professor, Yildiz Technical University, Istanbul, Turkey (September 2020 – May 2024)
    Taught Artificial Intelligence courses for postgraduate students and consulted on smart city and digitalization projects.

  • Discovery Search Team Lead, Rakuten Inc., via iCV Lab, Tartu, Estonia (September 2018 – August 2020)
    Led research on multimodal and multilingual discovery search for e-commerce, analyzing user behaviors during e-shopping.​

  • Co-founder and Chief Technology Officer (CTO), Alpha3D, Tallinn, Estonia (November 2019 – September 2023)
    Developed 3D content creation using stable diffusion models for AR applications.​

  • Professor/Head of iCV Lab, University of Tartu, Tartu, Estonia (September 2013 – April 2024)
    Led research in human behavior analysis, conducting R&D on data-driven AI solutions for various DeepTech applications. Secured over €10 million in funding from 47 contracts, collaborating with notable partners such as Veriff, Clevon, AuveTech, and others.

Research Interest 

Professor Anbarjafari’s research encompasses a broad spectrum of areas within artificial intelligence and computer vision, including:​

  • AI/Generative AI & Machine Learning

  • Computer Vision & Affective Computing

  • Natural Language Processing (NLP)

  • DeepTech Solutions across various domains

  • Human-Robot Interaction

  • Medical Signal Processing (EEG and ECG analysis)

  • 3D Modeling and Visualization

  • Image and Video Super Resolution

  • Biometric Recognition

  • Image Compression and Watermarking​

Author Metrics

  • h-index: 44

  • i10-index: 115

  • Total Citations: 8,271

Top Noted Publication

1. Action Recognition Using Single-Pixel Time-of-Flight Detection

Authors: I. Ofodile, A. Helmi, A. Clapés, E. Avots, K. M. Peensoo, S. M. Valdma, G. Anbarjafari, et al.
Journal: Entropy, Vol. 21, Issue 4, Article 414 (2019)
Citations: 16
Summary: This paper explores a novel method for action recognition using single-pixel Time-of-Flight (ToF) detection rather than conventional RGB or depth cameras. The study emphasizes:

  • Utilizing a ToF sensor for motion capture by detecting temporal variations in backscattered light.

  • A compressed sensing approach that allows action recognition from a limited number of photons (i.e., low-light or cost-constrained scenarios).

  • Demonstrated high accuracy in recognizing actions like waving, walking, and jumping using neural networks trained on ToF data.

2. An Objective No-Reference Measure of Illumination Assessment

Author: G. Anbarjafari
Journal: Measurement Science Review, Vol. 15, Issue 6, pp. 319–326 (2015)
Citations: 16
Summary: This paper proposes a no-reference (NR) metric for evaluating the illumination quality of digital images. Key contributions include:

  • Development of an algorithm that assesses brightness consistency and contrast without requiring a reference image.

  • Use of statistical parameters from histogram analysis to predict human visual satisfaction with image lighting.

3. Prediction of sgRNA Off-Target Activity in CRISPR/Cas9 Gene Editing Using Graph Convolution Network

Authors: P. K. Vinodkumar, C. Ozcinar, G. Anbarjafari
Journal: Entropy, Vol. 23, Issue 5, Article 608 (2021)
Citations: 15
Summary: This study applies graph convolutional networks (GCNs) to predict off-target effects of sgRNA sequences in CRISPR/Cas9 gene editing. Contributions:

  • Modeling nucleotide sequences as graphs to capture spatial and relational properties.

  • Achieves superior prediction accuracy over traditional machine learning methods.

  • Addresses a critical concern in genome editing: unintended mutations.

4. Size-Dictionary Interpolation for Robot’s Adjustment

Authors: M. Daneshmand, A. Aabloo, G. Anbarjafari
Journal: Frontiers in Bioengineering and Biotechnology, Vol. 3, Article 63 (2015)
Citations: 15
Summary: This research presents an adaptive algorithm for robot movement adjustment based on size-dictionary interpolation. Highlights:

  • A size-dictionary is created from previously observed environmental objects and used to adjust robot motion dynamically.

  • Enables robots to adapt quickly to new object dimensions without full reprocessing.

5. Multifunctionality of Polypyrrole Polyethylene Oxide Composites: Concurrent Sensing, Actuation and Energy Storage

Authors: N. Q. Khuyen, R. Kiefer, Z. Zondaka, G. Anbarjafari, A. L. Peikolainen, T. F. Otero, et al.
Journal: Polymers, Vol. 12, Issue 9, Article 2060 (2020)
Citations: 14
Summary: The paper investigates polypyrrole–polyethylene oxide (PPy–PEO) composites with integrated functionalities for:

  • Sensing (via electrical resistance changes),

  • Actuation (due to electrochemical expansion/contraction), and

  • Energy storage (as supercapacitor materials). The work includes both material synthesis and experimental validation.

Conclusion

Professor Gholamreza Anbarjafari is exceptionally qualified for the Best Researcher Award. His interdisciplinary research, academic leadership, and tangible impact in both academia and industry mark him as a pioneer in the field of Generative AI and applied computer vision.

While he could further strengthen his global outreach and public engagement, his credentials, innovation, and contribution trajectory make him a highly deserving recipient of such recognition.

 

Marina Stramarkou | Chemical Engineering | Best Researcher Award

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Dr. Marina Stramarkou | Chemical Engineering | Best Researcher Award

MSCA Postdoctoral Fellow at National Centre for Scientific Research “Demokritos” Greece.

Dr. Marina Stramarkou is a multidisciplinary researcher in food engineering and nanotechnology, currently serving as a Marie Skłodowska-Curie Postdoctoral Fellow at Teagasc, Ireland. She earned her Ph.D. in Chemical Engineering from the National Technical University of Athens, where she was awarded for the best doctoral thesis with industrial interest. Her work bridges academia and industry, focusing on smart materials, functional foods, sustainable packaging, and personalized nutrition systems. Her contributions have been recognized with multiple awards including the Dimitris N. Chorafas Prize and Thomaides Publication Awards for eight consecutive years.

Publication Profile

ORCID

Scopus

Education

Dr. Marina Stramarkou holds a Ph.D. in Chemical Engineering from the National Technical University of Athens (NTUA), completed in collaboration with the National Centre for Scientific Research “Demokritos” (2016–2022). Her doctoral research focused on the development of smart packaging systems using electronic sensors on flexible substrates to activate encapsulated food bioactive compounds, supported by an industrial research fellowship from the Stavros Niarchos Foundation. She also earned a Master’s degree in “Techno-economic Systems” (8.84/10) through a joint program by NTUA’s School of Electrical and Computer Engineering and the University of Piraeus (2018–2020). Her academic foundation is a Diploma in Chemical Engineering (equivalent to an integrated Master’s, Grade: 7.98/10) from NTUA, completed in 2016.

Currently, Dr. Stramarkou is a Marie Skłodowska-Curie Postdoctoral Fellow (2025–2027) at Teagasc – Agriculture and Food Development Authority in Dublin, Ireland, where her research involves the design of personalized emulsions for controlled omega-3 delivery and flavor improvement.

Professional Experience

Dr. Stramarkou has extensive experience in leading and contributing to multidisciplinary European and national research projects across the fields of food innovation, smart packaging, environmental sustainability, and nanotechnology. Notable roles include Project Manager for CONVERT2GREEN and RECOFFEE, and Visiting Researcher for the VALIAS project at Teagasc. She has contributed to the development of innovative functional foods, biodegradable materials, and bio-based packaging systems in projects such as VEGAN BURGER, PERIOROU, OLIVIA, SAFEBAG, and TASTESTEVIA.

Her technical competencies include advanced encapsulation techniques (e.g., electrospinning, spray drying), sensor fabrication, food and material characterization (e.g., HPLC, GC-MS, SEM), and environmental impact assessments through Life Cycle Assessment and Costing. She has also contributed to final product development including smart food packaging, antimicrobial plastics, and novel food formulations.

Research Interest 

Dr. Stramarkou’s research spans food nanotechnology, smart packaging, bioactive delivery systems, circular economy solutions, encapsulation of nutraceuticals, sensor technology, and techno-economic and environmental assessments. She is particularly interested in functional food innovation, sustainable processing technologies, and value-added utilization of food waste and by-products.

Author Metrics

  • Publications: 10+ peer-reviewed articles in high-impact journals

  • Citations: ~200+ (as of April 2025)

  • h-index: 7🥇📚🌍.

Awards & Fellowships

  • Chorafas Prize for Best Doctoral Dissertation, NTUA (2023)

  • Best Doctoral Thesis in Industrial Applications, School of Chemical Engineering, NTUA (2023)

  • Thomaides Award for Scientific Publications (2016–2023)

  • SNF Industrial PhD Fellowship, Stavros Niarchos Foundation (2018–2022)

  • Eurobank EFG Award, for top high school graduation marks (2010)

Top Noted Publication

Title: Fabrication of ZnO Thin Films Doped with Na at Different Percentages for Sensing CO₂ in Small Quantities at Room Temperature
Journal: Sensors
Publication Date: 2025-04-24
DOI: 10.3390/s25092705
Authors: Marina Stramarkou, Achilleas Bardakas, Magdalini Krokida, Christos Tsamis
Summary: This study focuses on the development of Na-doped ZnO thin films optimized for detecting low concentrations of CO₂ at room temperature, aiming for applications in environmental monitoring and smart packaging.

Title: A Comprehensive Review of the Latest Trends in Spray Freeze Drying and Comparative Insights with Conventional Technologies
Journal: Pharmaceutics
Publication Date: 2024-11-29
DOI: 10.3390/pharmaceutics16121533
Authors: Maria Ioannou Sartzi, Dimitrios Drettas, Marina Stramarkou, Magdalini Krokida
Summary: This review critically compares spray freeze drying (SFD) to conventional drying techniques, highlighting advances in the pharmaceutical field, product stability, and encapsulation efficiency.

Title: Optimization of Encapsulation of Stevia Glycosides through Electrospraying and Spray Drying
Journal: Food Hydrocolloids
Publication Date: 2022-10
DOI: 10.1016/j.foodhyd.2022.107854
Authors: Vasiliki Oikonomopoulou, Marina Stramarkou, Artemis Plakida, Magdalini Krokida
Summary: This paper presents optimization studies on the encapsulation of stevia glycosides using electrospraying and spray drying, aiming to improve their stability and release properties in functional food applications.

Title: Comparative Analysis of Different Drying Techniques Based on the Qualitative Characteristics of Spirulina platensis Biomass
Journal: Journal of Aquatic Food Product Technology
Publication Date: 2021-05-28
DOI: 10.1080/10498850.2021.1900969
Authors: Marina Stramarkou, Sofia Papadaki, Konstantina Kyriakopoulou, Ioannis Tzovenis, Marios Chronis, Magdalini Krokida
Summary: The study compares multiple drying methods (spray drying, freeze drying, convective drying) for Spirulina platensis, evaluating impacts on color, protein content, antioxidant activity, and rehydration properties.

Title: Encapsulation of Rosemary Essential Oil into Biodegradable Polymers for Application in Crop Management
Journal: Journal of Polymers and the Environment
Publication Date: 2020-08
DOI: 10.1007/s10924-020-01760-5
Authors: Marina Stramarkou, Vasiliki Oikonomopoulou, Theodora Missirli, Ioanna Thanassoulia, Magdalini Krokida
Summary: The work explores the encapsulation of rosemary essential oil into biodegradable polymers, aiming to create sustainable crop management solutions with slow-release antimicrobial activity.

Conclusion

Dr. Marina Stramarkou is highly suitable for the Best Researcher Award. Her trajectory reflects an emerging research leader with interdisciplinary strengths, industrial relevance, and a drive for innovation in sustainable materials and functional foods. Her work stands out for its originality, technical sophistication, and societal relevance, making her a compelling candidate for this recognition. With continued publication momentum and expanded global impact, her research legacy is poised for even greater recognition.

 

Manhattan Lebrun | soil fertility | Best Researcher Award

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Dr. Manhattan Lebrun | soil fertility | Best Researcher Award

Postdoctoral researcher at Université Marie et Louis Pasteur, France

Dr. Manhattan Lebrun is a French environmental scientist specializing in soil remediation and phytomanagement. he holds a PhD in Biosciences and Territory from the University of Molise, Italy. With extensive postdoctoral experience across Europe, including France, Czech Republic, and Italy, he currently serves as a postdoctoral researcher at Université Bourgogne Franche-Comté. His research integrates soil biogeochemistry, phytoremediation, and biochar technology, addressing contamination from heavy metals and enhancing soil fertility through sustainable methods. Dr. Lebrun is a prolific author with 52 peer-reviewed publications, a reviewer for leading environmental journals, and a guest editor for special issues on soil pollution. He is actively involved in student mentoring, teaching in both French and English, and contributing to scientific communities through editorial work and international conferences. His interdisciplinary approach combines field studies, molecular biology, and ecoengineering to develop innovative strategies for contaminated land rehabilitation 🌱🧪🌍.

Publication Profile

ORCID

Scopus

Education

Dr. Lebrun’s educational foundation is rooted in environmental sciences and biology. He earned his Bachelor’s (2011–2014) and Master’s (2014–2016) degrees from the University of Orléans, France, specializing in the biology of organisms, populations, and ecosystems. His passion for sustainable land management led him to pursue a PhD (2016–2020) in Biosciences and Territory at the University of Molise, Italy. His doctoral research focused on biogeochemical and microbiological processes in the rhizosphere of Salicaceae, particularly their role in the phytostabilization of contaminated technosols. A highlight of his PhD was a six-month fellowship at Ghent University, Belgium, where he deepened his expertise in soil chemistry and microbial ecology. His education combined rigorous academic coursework with extensive laboratory and field internships, preparing him for a dynamic research career focused on eco-restoration and soil remediation 🌿📘🧫.

Professional Experience

Dr. Lebrun has built a robust career in postdoctoral research across top European institutions. Since January 2024, he has been at CHRONO-ENVIRONMENT, Université Bourgogne Franche-Comté, working on the HORIZON H2020 EDAPHOS project to evaluate nature-based solutions for soil restoration. Previously, at the Czech University of Life Sciences, he led research on biochar and manure’s role in enhancing soil fertility and mitigating metal(loid) dynamics. At INRAE Versailles-Grignon, he investigated biochar-compost interactions under drought stress in alfalfa. His earlier roles at Université d’Orléans focused on activated carbon and biochar applications for soil detoxification and plant productivity. Dr. Lebrun’s expertise spans soil amendments, microbial dynamics, nutrient cycling, and environmental geochemistry. His ability to integrate laboratory, greenhouse, and field-scale experiments makes him a valuable asset in interdisciplinary environmental science 🧑‍🔬🌍🧫.

Research Interest 

Dr. Lebrun’s research bridges soil science, environmental biotechnology, and plant physiology, with a strong focus on soil remediation and phytoremediation. His central interest lies in nature-based solutions to restore contaminated ecosystems, particularly through the use of biochar, compost, and microbial inoculants. He explores how these amendments influence the bioavailability of toxic metal(loid)s (like As, Pb, Zn) and support plant growth under stress. His work often involves multi-scale approaches—from molecular analysis of plant and microbial responses to large-scale field trials. A recurring theme is understanding the role of the rhizosphere in mediating soil-plant-microbe interactions. He also investigates the long-term ecological impacts of amendments on nutrient cycling, carbon sequestration, and biodiversity. Through collaboration with agronomists, microbiologists, and chemists, his research supports sustainable land-use practices, particularly in post-industrial or mining-impacted regions 🧬🌾🧱.

Award and Honors

Dr. Manhattan Lebrun has been recognized for his impactful research and academic contributions. He has served as a Guest Editor for high-impact journals such as Plants and Environments, focusing on topics like heavy metal pollution and soil remediation. As a Review Editor for Frontiers in Soil Sciences, he contributes to advancing knowledge in environmental pollution and sustainable land management. His scientific work has garnered over 600 citations, reflecting his influence in the field. Notably, his dedication to mentorship is evident in the numerous students he has guided at bachelor’s, master’s, and PhD levels across France and the Czech Republic. He has been an invited speaker and session convener at major international conferences like SUITMA11 (Berlin), where he shared innovations in soil amendment strategies. These accolades underscore his commitment to excellence and leadership in environmental science 🥇📚🌍.

Skills

Dr. Lebrun possesses a multidisciplinary skill set encompassing soil chemistry, plant ecophysiology, microbiology, and environmental geochemistry. He is proficient in techniques like ICP-OES/MS, GC-MS, spectroscopy, chromatography, molecular biology (DNA/RNA extraction, qPCR), and enzymatic assays. His fieldwork expertise includes soil sampling, amendment trials, and phytoremediation assessments across various ecosystems. He excels in data analysis using R and statistical tools to model environmental processes. His teaching experience spans undergraduate to postgraduate levels, covering soil science, environmental chemistry, and experimental biology. He has a strong command of both French and English, contributing to international publications and academic discourse. Editorially, he reviews for top-tier journals and organizes special issues. His project management capabilities shine through collaborative research on European projects (H2020, GACR, FUI). These skills are bolstered by a passion for sustainability, mentoring, and scientific communication 🧑‍🏫💻🌱.

Top Noted Publication

Biochar Characteristics and Pb²⁺/Zn²⁺ Sorption Capacities: The Role of Feedstock Variation

Authors: Information not available in the provided data.

Year: 2024​

2. Biochar and Heavy Metals

Authors: Information not available in the provided data.

Year: 2024​

3. Combined Biochar and Manure Addition to an Agricultural Soil Benefits Fertility, Microbial Activity, and Mitigates Manure‐Induced CO₂ Emissions

Authors: Information not available in the provided data.

Year: 2024​

4. Positive or Neutral Effects of Biochar-Compost Mixtures on Earthworm Communities in a Temperate Cropping System

Authors: Information not available in the provided data.

Year: 2023​

5. The Older, the Better: Ageing Improves the Efficiency of Biochar-Compost Mixture to Alleviate Drought Stress in Plant and Soil

Authors: Information not available in the provided data.

Year: 2023​

6. Biochar and Compost Addition Increases Soil Organic Carbon Content and Substitutes P and K Fertilizer in Three French Cropping Systems

Authors: Information not available in the provided data.

Year: 2022​

7. How Does Soil Water Status Influence the Fate of Soil Organic Matter? A Review of Processes Across Scales

Authors: Information not available in the provided data.

Year: 2022​

8. Biochar, Ochre, and Manure Maturation in an Acidic Technosol Helps Stabilize As and Pb in Soil and Allows Its Vegetation by Salix triandra

Authors: Manhattan Lebrun, Sylvain Bourgerie, Domenico Morabito, et al.

Year: 2022

9. Biochar in Manure Can Suppress Water Stress of Sugar Beet (Beta vulgaris) and Increase Sucrose Content in Tubers

Authors: Information not available in the provided data.

Year: 2022​

10. Effects of Different Biochars, Activated Carbons and Redmuds on the Growth of Trifolium repens and As and Pb Stabilization in a Former Mine Technosol

Authors: Manhattan Lebrun, Sylvain Bourgerie, Domenico Morabito

Year: 2022

11. Co-culture of Salix viminalis and Trifolium repens for the Phytostabilisation of Pb and As in Mine Tailings Amended with Hardwood Biochar

Authors: Information not available in the provided data.

Year: 2022

Conclusion

Dr. Manhattan Lebrun embodies the characteristics of a top-tier researcher—a prolific, collaborative, and innovative scientist with a deeply impactful focus on environmental restoration and sustainability. His extensive publication record, international experience, leadership in education and editorial duties, and applied science approach make him an outstanding candidate for a Best Researcher Award.