Jayakumar Jayachandran | Materials Science | Editorial Board Member

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Dr. Jayakumar Jayachandran | Materials Science | Editorial Board Member

Senior Researcher | National Tsing Hua University |   Taiwan

Dr. Jayachandran Jayakumar is a distinguished research faculty member in the Department of Chemical Engineering at National Tsing Hua University, Taiwan, recognized for his multidisciplinary contributions spanning organic synthesis, advanced materials, photocatalysis, OLED technologies, and biomedical nanomaterials. His research excellence is reflected in a strong global footprint, with 2,260 citations, 56 publications, and an h-index of 28, underscoring his sustained scholarly influence across chemistry, materials science, and chemical engineering. Dr. Jayakumar has published extensively in high-impact journals such as Advanced Materials, ACS Nano, Nature Communications, ACS Applied Materials & Interfaces, Langmuir, and Chemical Engineering Journal, demonstrating both breadth and depth in frontier research. His notable achievements include pioneering work on metal-catalyzed C–H activation, the development of photocatalytic hydrogen-evolution systems, advanced OLED emitters and hole-transport materials, and innovative nanomaterial-enabled cancer therapeutics. His role as a corresponding author in several publications highlights his leadership in driving collaborative scientific endeavors with global teams from Taiwan, India, Lithuania, Japan, and beyond. Through contributions to sustainable energy technologies, next-generation optoelectronic materials, and cutting-edge biomedical platforms such as pH-responsive mRNA oral vaccine delivery and HfO₂ nanoparticle-based tumor monitoring, Dr. Jayakumar’s research demonstrates strong societal relevance and translational potential. His work continues to advance interdisciplinary innovation, bridge fundamental chemistry with applied engineering, and support solutions in clean energy, health care, and smart materials for emerging global challenges.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

Javad Hamzei | Agricultural Sciences | Editorial Board Member

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Assoc. Prof. Dr. Javad Hamzei | Agricultural Sciences | Editorial Board Member 

Associate Professor | Bu-Ali Sina University | Iran

Associate Professor Dr. Javad Hamzei is a distinguished Iranian agricultural scientist whose research advances sustainable crop production, ecological intensification, and intercropping system optimization. His academic influence is reflected in 323 citations by 314 documents, 16 indexed publications, and an h-index of 9, underscoring his growing global impact in crop ecology and agro-ecosystem management. Dr. Hamzei’s work primarily focuses on enhancing yield performance, resource-use efficiency, and soil health through innovative intercropping strategies, nitrogen and organic fertilizer integration, conservation agriculture, and stress-mitigation mechanisms in field crops. Over the years, he has produced a substantial body of peer-reviewed research on cereals, legumes, medicinal plants, and oilseeds, with multiple studies published in reputable journals such as Industrial Crops & Products, Cereal Research Communications, Journal of Crop Production, and Biochemical Systematics and Ecology. His investigations into intercropping systems—including wheat–soybean–corn, corn–fenugreek, sesame–bean, lentil–wheat, spinach–chickpea, and potato–green bean—have contributed valuable insights supporting food security, climate-resilient agriculture, and land-use efficiency. Dr. Hamzei has also collaborated with national and international researchers on projects addressing halotolerant microbial interactions, fertilizer optimization, soil physical properties, and the ecological behavior of medicinal plants, reflecting his interdisciplinary outlook. Beyond research, his long-term academic roles include extensive supervision of undergraduate, master’s, and doctoral candidates, helping shape the next generation of scientists in agronomy and crop ecology. Through sustained scholarly contributions and applied agricultural innovations, Dr. Hamzei continues to advance sustainable farming systems and ecological crop production practices with significant societal relevance.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Soltani, J., Zaheri-Shoja, M., Hamzei, J., Hosseyni-Moghaddam, M. S., & Others. (2016). Diversity and bioactivity of bacterial endophyte community of Cupressaceae. Forest Pathology, 46(4), 353–361. Citations: 28

  2. Hosseyni, M. M. S., Soltani, J., Babalhavaeji, F., Hamzei, J., Nazeri, S., & Others. (2013). Bioactivities of endophytic Penicillium species from Cupressaceae. Journal of Crop Protection, 2(4), 421–433. Citations: 23

  3. Seyedi, S. M., Hamzei, J., Ahmadvand, G., Goodarz, H., & Abotalebiyan, M. (2012). Evaluation of the feasibility of weed suppression and crop production in intercropping of chickpea and barley. Agricultural Knowledge and Sustainable Production, 22(3), 101–115.

  4. Hamzei, J., & Zarei, M. (2024). Evaluation of growth indices, yield performance, and advantages in intercropping of wheat, soybean, and corn. Agricultural Science and Sustainable Production, 34(3), 1–18.

  5. Abdollahi, A., Hamzei, J., Aliverdi, A., & Nemati, A. (2024). Effect of humic acid on yield performance and land-use efficiency in intercropping of wheat and lentil under dryland conditions. Journal of Crop Production, 17(3), 44–64.

Hossein Ghaffarian | Machine Learning | Editorial Board Member

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Dr. Hossein Ghaffarian | Machine Learning | Editorial Board Member 

Assistant Professor | Arak University | Iran

Dr. Hossein Ghaffarian is a distinguished researcher and faculty member in the Department of Computer Engineering at Arak University, Iran, recognized for his expertise in computer networks, intelligent transportation systems (ITS), data mining, and applied artificial intelligence. His academic contributions encompass both theoretical and applied dimensions of wired and wireless network architectures, network security, and quality of service optimization. Dr. Ghaffarian’s scholarly work demonstrates a strong interdisciplinary orientation, bridging computer systems architecture with real-world applications in vehicular ad hoc networks (VANETs), indoor localization, and cloud-based network solutions. He has served in multiple academic and professional capacities, including as IT and Product Manager at Sanaat Yar Afzar Iranian and consultant for Iran’s Ministry of Education and the Electrical Industry Data Committee (Tavanir). His innovative research has earned national recognition, including a Best Paper Award at the IEEE International Conference on Internet of Things and Applications. Dr. Ghaffarian has also contributed to key industrial and governmental projects, such as developing WAN solutions for electrical industries and designing cloud-based monitoring systems. His research achievements are further complemented by his active engagement in academic translation and technical education, with works such as Python Numpy for Beginners and Python Pandas for Beginners (Farsi editions). Dr. Hossein Ghaffarian’s academic impact is reflected in his international research visibility, with 82 citations by 81 documents, 21 publications, and an h-index of 4, underscoring his growing influence in computer engineering and artificial intelligence research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Ghaffarian, H., Fathy, M., & Soryani, M. (2012). Vehicular ad hoc networks enabled traffic controller for removing traffic lights in isolated intersections based on integer linear programming. IET Intelligent Transport Systems, 6(2), 115–123. Citations: 52

  2. Farahani, B. J., Ghaffarian, H., & Fathy, M. (2009). A fuzzy based priority approach in mobile sensor network coverage. International Journal of Recent Trends in Engineering, 2(1), 138. Citations: 19

  3. Rashvand, H. F., & Chao, H. C. (2013). Dynamic ad hoc networks. Institution of Engineering and Technology. Citations: 18

  4. Parvin, H., Minaei-Bidgoli, B., & Ghaffarian, H. (2011). An innovative feature selection using fuzzy entropy. In International Symposium on Neural Networks (pp. 576–585). Citations: 16

  5. Keramatpour, A., Nikanjam, A., & Ghaffarian, H. (2017). Deployment of wireless intrusion detection systems to provide the most possible coverage in wireless sensor networks without infrastructures. Wireless Personal Communications, 96(3), 3965–3978. Citations: 15

Rahim Zahedi | Renewable Energy | Editorial Board Member

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Assist. Prof. Dr. Rahim Zahedi | Renewable Energy | Editorial Board Member

Faculty member, Assistant Professor | University of Tehran | Iran 

Dr. Rahim Zahedi is an accomplished Assistant Professor in the Department of Energy Governance at the University of Tehran, Iran, specializing in energy systems engineering, modeling, and sustainability analysis. His academic excellence is reflected in his outstanding research productivity and international recognition, with 2,391 citations by 1,708 documents, 108 publications, and an h-index of 26, underscoring his global impact in the field of renewable energy and environmental systems. Dr. Zahedi’s work focuses on advanced energy modeling, thermodynamic optimization, life cycle assessment (LCA), and the water–energy–food–environment nexus. He has authored over 100 ISI-indexed papers in leading journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, and Energy Reports. Recognized as one of the world’s top 2% scientists by Stanford University, he has received numerous national and international awards, including the 2023 JTACC-V4 Young Scientist Award in thermal sciences, the National Renewable Energy Award, and the 2024 Alborz Prize known as the Iranian Nobel Prize—for his outstanding contributions to sustainable energy research. His publications, often cited for their methodological rigor and policy relevance, bridge the gap between technical innovation and environmental governance, influencing both academic and industrial practices. Through interdisciplinary collaborations, Dr. Zahedi continues to advance clean energy transitions and carbon mitigation strategies, contributing to a more sustainable and low-carbon global future.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Entezari, A., Aslani, A., Zahedi, R., & Noorollahi, Y. (2023). Artificial intelligence and machine learning in energy systems: A bibliographic perspective. Energy Strategy Reviews, 45, 101017. Citations: 364

  2. Forootan, M. M., Larki, I., Zahedi, R., & Ahmadi, A. (2022). Machine learning and deep learning in energy systems: A review. Sustainability, 14(8), 4832.  Citations: 291

  3. Pourrahmani, H., Yavarinasab, A., Zahedi, R., Gharehghani, A., et al. (2022). The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines. Internet of Things, 19, 100579.  Citations: 98

  4. Zahedi, R., Zahedi, A., & Ahmadi, A. (2022). Strategic study for renewable energy policy, optimizations and sustainability in Iran. Sustainability, 14(4), 2418. Citations: 97

  5. Zahedi, R., Ahmadi, A., & Dashti, R. (2021). Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system. Renewable and Sustainable Energy Reviews, 150, 111420. Citations: 94

Ian Freckelton | Biomedical Sciences | Best Researcher Award

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Prof. Ian Freckelton | Biomedical Sciences | Best Researcher Award 

Professor/Judge/King’s Counsel | University of Melbourne | Australia

Prof. Ian Freckelton AO KC is an eminent Australian barrister, academic, and jurist recognized internationally for his multifaceted contributions to law, psychiatry, and public policy. A King’s Counsel with extensive appellate, trial, and advisory experience, he has practiced across Australia and abroad in administrative, criminal, human rights, and professional negligence law. His exceptional professional standing is reflected in repeated recognition by Doyle’s Guide and Best Lawyers in Australia across public, commercial, and personal injury law categories. He serves as a Judge of the Supreme Court of the Republic of Nauru and has held numerous tribunal roles in mental health, medical regulation, and professional discipline. As Professor of Law and Professorial Fellow in Psychiatry at the University of Melbourne, and Honorary Professor at several leading universities, he bridges legal scholarship and forensic science with a distinctive interdisciplinary approach. A prolific scholar, he has authored and edited over 300 books, chapters, and peer-reviewed papers shaping contemporary discourse in forensic law, expert evidence, and human rights. His research and advocacy have significantly influenced legal reforms, professional accountability, and justice innovation. Ian Freckelton’s academic influence is evidenced by 1,481 citations from 1,163 documents, 313 publications, and an h-index of 15, underscoring his enduring impact on law and society through scholarship, legal practice, and public service.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Freckelton, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, Article 101611. Citations: 190

  2. Freckelton, I. (2007). Therapeutic jurisprudence misunderstood and misrepresented: Price and risks of influence. Thomas Jefferson Law Review, 30, 575–600. Citations: 180

  3. Denault, V., Plusquellec, P., Jupe, L. M., St-Yves, M., Dunbar, N. E., Hartwig, M., … & Freckelton, I. (2020). The analysis of nonverbal communication: The dangers of pseudoscience in security and justice contexts. Anuario de Psicología Jurídica, 30(1), 1–12. Citations: 117

  4. Bennett, B., McDonald, F., Beattie, E., Carney, T., Freckelton, I., White, B., … & Willmott, L. (2017). Assistive technologies for people with dementia: Ethical considerations. Bulletin of the World Health Organization, 95(11), 749–755. Citations: 115

  5. Freckelton, I. R., & Ranson, D. L. (2006). Death investigation and the coroner’s inquest. Oxford University Press. Citations: 113

Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

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Prof. Dr. Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

Professor of Computer Science | King Abdulaziz University | Saudi Arabia

Prof. Dr. Ahmed Hamza Osman Ahmed is a distinguished computer scientist and cybersecurity expert whose research bridges artificial intelligence, information security, and data privacy. With over 70 peer-reviewed publications in prestigious journals such as IEEE, Elsevier, and Springer, his scholarly impact is evidenced by 709 citations across 658 documents and an h-index of 14, underscoring his significant contributions to the field. His research encompasses AI-driven cybersecurity systems, intrusion detection, digital forensics, and blockchain-based data integrity, with several funded projects advancing intelligent threat prediction and misinformation detection. Prof. Ahmed has played a pivotal role in developing ABET-aligned curricula, integrating machine learning into cybersecurity education, and supervising more than 25 postgraduate theses in cybersecurity and data science. Internationally recognized for academic excellence, he has received awards such as the Gold Medal at PECIPTA 2011 and Best Postgraduate Student at Universiti Teknologi Malaysia. His extensive collaborations across Saudi Arabia, Malaysia, and Sudan reflect his commitment to fostering global research partnerships and advancing secure, AI-empowered digital ecosystems. Through his leadership in teaching, research, and academic service, Prof. Ahmed continues to contribute to shaping the future of cybersecurity and artificial intelligence with profound educational and societal impact.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Elssied, N. O. F., Ibrahim, O., & Osman, A. H. (2014). A novel feature selection based on one-way ANOVA F-test for e-mail spam classification. Research Journal of Applied Sciences, Engineering and Technology, 7(3), 625–638. Citations: 223

  2. Elhadi, A. A. E., Maarof, M. A., & Osman, A. H. (2012). Malware detection based on hybrid signature behaviour application programming interface call graph. American Journal of Applied Sciences, 9(3), 283–293. Citations: 137

  3. Osman, A. H., Salim, N., Binwahlan, M. S., Alteeb, R., & Abuobieda, A. (2012). An improved plagiarism detection scheme based on semantic role labeling. Applied Soft Computing, 12(5), 1493–1502. Citations: 128

  4. Osman, A. H., & Aljahdali, H. M. (2020). An effective ensemble boosting learning method for breast cancer virtual screening using neural network model. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2976149 Citations: 93

  5. Abuobieda, A., Salim, N., Albaham, A. T., Osman, A. H., & Kumar, Y. J. (2012). Text summarization features selection method using pseudo genetic-based model. In Proceedings of the 2012 International Conference on Information Retrieval & Knowledge Management (pp. 84–89). Citations: 84

Hossein Amiri | Environmental Science | Best Researcher Award

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Dr. Hossein Amiri | Environmental Science | Best Researcher Award

Associate Professor, Faculty of Economics | Kharazmi University | Iran

Dr. Hossein Amiri is an Associate Professor in the Faculty of Economics at Kharazmi University, specializing in financial economics, econometrics, and macroeconomic policy modeling. His scholarly work bridges theoretical and applied research in monetary and fiscal policy, energy economics, financial stability, and sustainable development, particularly in oil-exporting and resource-dependent economies. Dr. Amiri’s academic excellence is reflected in his extensive research contributions, including publications in leading journals such as Resources Policy, Energy, Environmental Science and Pollution Research, and the Journal of Environmental Management. His research projects, conducted in collaboration with the Central Bank of Iran and the Ministry of Economy and Finance, address critical national priorities such as financial stability frameworks and the economic implications of policy expectations. With 201 citations across 199 documents, 10 publications, and an h-index of 5, Dr. Amiri demonstrates a growing global research footprint. Recognized as a top and young researcher at Kharazmi University and the Alborz province, he has also been honored by the National Elites Foundation of Iran. His multidisciplinary expertise and leadership roles ranging from directing applied research and entrepreneurship centers to serving on faculty recruitment and innovation committees underscore his dedication to advancing Iran’s economic research ecosystem and fostering academic-industry linkages for national development.

Featured Publications

  1. Amiri, H., Samadian, F., Yahoo, M., & Jamali, S. J. (2019). Natural resource abundance, institutional quality and manufacturing development: Evidence from resource-rich countries. Resources Policy, 62, 550–560. [Citations: 104]

  2. Amiri, H., Sayadi, M., & Mamipour, S. (2021). Oil price shocks and macroeconomic outcomes: Fresh evidences from a scenario-based NK-DSGE analysis for oil-exporting countries. Resources Policy, 74, 102262. [Citations: 60]

  3. Mehrara, M., Musai, M., & Amiri, H. (2010). The relationship between health expenditure and GDP in OECD countries using PSTR. European Journal of Economics, Finance and Administrative Sciences, 24, 1450–2275. [Citations: 48]

  4. Amiri, H., Pirdadeh Beyranvand, M., Norouzi Amogin, F., & Alizadeh, S. (2018). Estimation of vulnerability and resilience indicators in Iran economy. Quarterly Journal of the Macro and Strategic Policies, 6(23), 434–455. [Citations: 31]

  5. Mamipour, S., Beheshtipour, H., Feshari, M., & Amiri, H. (2019). Factors influencing carbon dioxide emissions in Iran’s provinces with emphasis on spatial linkages. Environmental Science and Pollution Research, 26(18), 18365–18378. [Citations: 28]

Andrea Gobbo | Molecular Biology | Best Researcher Award

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Andrea Gobbo | Molecular Biology | Best Researcher Award

Research scientist | Transversal Activities in Applied Genomics | Belgium

Ms. Andrea Gobbo, is a molecular biologist and research scientist specializing in molecular biology, genomics, and food safety within the framework of One Health. His expertise lies in the development and validation of advanced molecular detection methods, including qPCR and digital droplet PCR (ddPCR), for the identification and quantification of genetically modified organisms (GMO/GMM), antimicrobial resistance (AMR) genes, and microbial contaminants across diverse biological and environmental matrices. At Sciensano, he has contributed to numerous multidisciplinary national and international projects such as NAP-AMR, CoVWWSurv, ENSURED, METAMORPHOSE, and DARWIN, focusing on food safety, microbial contamination, and environmental health surveillance. His research supports global efforts to strengthen food authenticity, ensure product safety, and enhance AMR monitoring in environmental systems. He is also actively involved in mentoring university students, laboratory coordination, and scientific communication through peer-reviewed publications and international conference presentations. Andrea Gobbo’s scholarly achievements demonstrate a strong commitment to scientific innovation and public health protection. His contributions include the development of reliable molecular assays for environmental biosurveillance and genomic characterization of microorganisms relevant to food and health safety. His publications, appearing in respected international journals such as Food Research International, Frontiers in Microbiology, Water Environment Research, and Heliyon, highlight his role in bridging molecular biology with applied public health research. Andrea Gobbo’s academic impact is evidenced by 34 citations by 27 documents, 10 publications, and an h-index of 3, underscoring his growing influence in molecular diagnostics and genomic surveillance. His collaborative work continues to advance the integration of molecular tools in One Health initiatives, promoting sustainable and science-driven solutions for global biosecurity and environmental safety.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

  1. Fraiture, M.-A., Gobbo, A., Marchesi, U., Verginelli, D., Papazova, N., & Roosens, N. H. C. (2021). Development of a real-time PCR marker targeting a new unauthorized genetically modified microorganism producing protease identified by DNA walking. International Journal of Food Microbiology, 354, 109330. Citations: 13

  2. Fraiture, M.-A., Gobbo, A., Papazova, N., & Roosens, N. H. C. (2022). Development of a taxon-specific real-time PCR method targeting the Bacillus subtilis group to strengthen the control of genetically modified bacteria in fermentation products. Fermentation, 8(2), 78. Citations: 8

  3. Van Poelvoorde, L. A. E., Picalausa, C., Gobbo, A., Verhaegen, B., Lesenfants, M., Herman, P., Van Hoorde, K., & Roosens, N. H. C. (2023). Development of a droplet digital PCR to monitor SARS-CoV-2 omicron variant BA.2 in wastewater samples. Microorganisms, 11(3), 729. Citations: 7

  4. Gobbo, A., Fraiture, M.-A., Van Poelvoorde, L. A. E., De Keersmaecker, S. C. J., Garcia-Graells, C., Van Hoorde, K., Verhaegen, B., Huwaert, A., Maloux, H., Hutse, V., Ceyssens, P.-J., & Roosens, N. H. C. (2024). Strategy to develop and validate digital droplet PCR methods for global antimicrobial resistance wastewater surveillance. Water Environment Research, 96(11), e11145. Citations: 4

  5. Fraiture, M.-A., Gobbo, A., Guillitte, C., Marchesi, U., Verginelli, D., De Greve, J., D’aes, J., Vanneste, K., Papazova, N., & Roosens, N. H. C. (2024). Pilot market surveillance of GMM contaminations in alpha-amylase food enzyme products: A detection strategy strengthened by a newly developed qPCR method targeting a GM Bacillus licheniformis producing alpha-amylase. Food Chemistry: Molecular Sciences, 8, 100186. Citations: 3