Risely Almeida | Agricultural Science and Innovation | Research Excellence Award

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Prof. Dr. Risely Almeida | Agricultural Science and Innovation | Research Excellence Award

Universidade do Estado da Bahia | Brazil

Prof. Dr. Risely Ferraz Almeida is a Professor-Researcher in Agricultural Sciences with a strong focus on Soil Science, particularly soil organic matter and carbon dynamics, soil fertility, and sustainable development in Brazilian agriculture. She holds a solid multidisciplinary academic background in agronomy, soil science, data science, project management, and business management, complemented by three post-doctoral fellowships in Soil Science. Her research integrates agro-sustainability, agro-circular systems, fertilization strategies, greenhouse gas mitigation, and advanced data analysis to support innovation and sustainability in agricultural systems. She is the founder of GEMOF (Study Group on Organic Matter and Soil Fertility), which promotes scientific excellence, entrepreneurship, and outreach activities, and the creator of the SOIL LADIES initiative, encouraging female participation in Soil Science. Prof. Almeida has extensive teaching and advisory experience in undergraduate, postgraduate, and MBA programs, particularly in agribusiness and agronomy. Her work has contributed significantly to sustainable soil management, climate-smart agriculture, and innovation-driven agribusiness. Overall, her career reflects a strong commitment to scientific leadership, interdisciplinary research, and the advancement of sustainable and socially responsible agriculture.


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Featured Publications



The addition of molybdenum to urea changes its characteristics and can react with N-(n-butyl) thiophosphoric triamide
L.A. Moreira, R. Otto, F.B. Guerrini, H.W.P. Carvalho, R. Ferraz-Almeida, J.A. Bendassolli, J. Lavres Jr., E. Mariano,
Scientia Agricola, 2025.


Coffees with certification seals in marketing places of Perpignan (France) and Piracicaba (Brazil)
N.G. de Jail, C.H.B. Cyrino, R. Ferraz Almeida,
Revista de Investigación de Agroproducción Sustentable, 2025.


Potential of Sisal (Agave sisalana) residues for improving sisal plant growth and soil residue stocks in Bahia’s circular agriculture
R. Ferraz-Almeida, A.R. de Oliveira, C.J. Pinheiro, J.L. Oliveira, V.F. de Almeida, E.M. Arruda,
Agronomy, 2025.


Agricultural limestone market in Capanema, Pará: strategies to increase supply and demand
E.V. Lima, R. Ferraz Almeida, P.S.L. Lima,
Revista de Gestão Social e Ambiental, 2025.


Bacillus-inoculated organomineral fertilizer in soybean crop during short-term: comparing sources and doses with mineral fertilizer
M.H.R. Franco, H.C. Belan, J.E.S. Maia, R.P. Mota, R. Ferraz-Almeida, R. de Camargo, E.M. Lemes,
Journal of Plant Nutrition, 2025.

Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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Featured Publications

C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Muhammad Riaz | Biology and Life Sciences | Best Researcher Award

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Dr. Muhammad Riaz | Biology and Life Sciences | Best Researcher Award

Rehman Medical Institute | Pakistan

Dr. Muhammad Riaz is a distinguished microbiologist with over eleven years of progressive experience in clinical laboratory diagnostics and supervision. He earned his PhD in Microbiology from Sarhad University of Science & Information Technology, an MPhil in Medical Microbiology from the University of Peshawar, an MSc in Microbiology from the University of Karachi, and a BSc in Medical Laboratory Technology. His career has spanned roles such as Senior Laboratory Technologist, Laboratory Supervisor, and Lecturer, in which he has overseen bacterial culture, isolation, biochemical identification, antimicrobial susceptibility testing (following CLSI & EUCAST standards), molecular diagnostics (PCR), media preparation, staining, biochemical testing, and quality assurance under regulated biosafety conditions. His research has focused on antimicrobial resistance—studies include works on Salmonella Typhi, Klebsiella pneumoniae, Multidrug-Resistant Mycobacterium tuberculosis, Extensively Drug-Resistant Typhi, and Candida auris. He has participated in conferences, training workshops (e.g. ISO 15189, Infection Prevention & Control), and published multiple peer-reviewed articles; his work has accrued dozens of documents and citations in national and international journals. Dr. Riaz is also engaged in mentoring, outbreak preparedness, and diagnostic stewardship. His research interests include resistome profiling, molecular epidemiology, antimicrobial resistance surveillance, diagnostic innovation, and public health microbiology. He has received recognition for his commitment to laboratory excellence and continues to contribute to improvements in diagnostics, patient care, and infection control.

Profile : Orcid

Featured Publications

Riaz, M., Ahmad, S., Sattar, F., Li, G., Din, Z. U., Ahmad, S., Azra, A., Waheed, A., Ul Haq, I., & Phelan, J. E. (2025). Whole-genome sequencing analysis of drug-resistant Salmonella Typhi in children. Pathogens, 14(10), 967.

Din, Z. U., Ullah, F., Khan, A. S., Ahmad, S., Azra, A., Waheed, A., Muhammad, N., Ali, F., Khattak, F. A., Rani, G. F., & Riaz, M. (2025). Genomic insights into pyrazinamide and fluoroquinolone resistance in multidrug-resistant tuberculosis in Khyber Pakhtunkhwa, Pakistan.International Journal of Medical Microbiology.

Khan, M., Khattak, M. T., Gul, A., Riaz, M., & Zahra, F. T. (2024). A comparable risk of extensively drug-resistant typhoid fever in the pediatric cohort during the COVID-19 pandemic. International Journal of Health Sciences.

Riaz, M., Khan, I., Khan, S., Sattar, F., & Khan, M. I. (2023). Study on multidrug, extensive drug and pan drug resistance in septicemic infants. IPS Journal of Applied Microbiology and Biotechnology, 2(1), 12.

Riaz, M. (2017). Outcome of 12-weeks triple therapy (TT), including sofosbuvir (SOF), ribavirin and pegylated interferon-alfa in all non-cirrhotic patients with chronic hepatitis-C genotype-3 infection. Medical Forum, 28(7).

David Owolabi | Civil Engineering | Best Researcher Award

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Mr. David Owolabi | Civil Engineering | Best Researcher Award

Morgan State University | United States

Mr. David Olusogo Owolabi is a researcher and educator specializing in sustainable infrastructure and resilient engineering. He holds a PhD (in progress) and an MSc in Sustainable Infrastructure and Resilient Engineering from Morgan State University, and a BSc in Architecture from Caleb University. In his role as a Graduate Research & Teaching Assistant at Morgan State, he supports undergraduate lab instruction in CAD and structural analysis (SAP2000) while conducting experimental research in self-healing bacterial concrete, fiber integration, and MICP-based crack remediation. Earlier, as an Architectural Designer at Kreativity Projects (Lagos) and an intern at Ab.dt Partnership (Ibadan), he developed design concepts, 3D visualizations, working drawings, and integrated sustainable design principles. His research interests span microbial self-healing concrete, bio-based infrastructure resilience, green building practices, and material durability. His published works include comparative analyses of autogenous vs microbial calcite precipitation in concrete and studies on crack healing performance via microbial carriers. He has also contributed to interdisciplinary studies on air quality in engineering labs and noise mitigation in buildings. He is a certified professional in Autodesk Revit and AutoCAD, has earned certifications in machine learning and socially just coding, and is committed to applying data-driven, sustainable innovation in civil infrastructure.

Profile : Google Scholar 

Featured Publications

Ahmad, I., Shokouhian, M., Owolabi, D., Jenkins, M., & McLemore, G. L. (2025). Assessment of biogenic healing capability, mechanical properties, and freeze–thaw durability of bacterial-based concrete using Bacillus subtilis, Bacillus sphaericus, and Bacillus megaterium. Buildings, 15(6), 943.

Ahmad, I., Shokouhian, M., Jenkins, M., McLemore, G. L., & Owolabi, D. O. (2025). Crack healing performance of microbial self-healing concrete using different carriers. In Structures Congress 2025 (pp. 362–372). American Society of Civil Engineers.

Owolabi, D. O., Shokouhian, M., Ahmad, I., Jenkins, M., & McLemore, G. L. (2025). Comparative analysis of autogenous and microbial-based calcite precipitation in concrete: State-of-the-art review. Buildings, 15(18), 3289.

Dunmoye, A. C., Owolabi, O. A., Banjo, A. V., Abiri, T. I., Dunmoye, I. D., & Owolabi, D. O. (2025). Noise mitigation strategies for vertical sound transmission in buildings with wooden floor. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 271(1), 1009–1018.

Balogun, G. Y., Owolabi, D. O., Ige, M. O., Abiri, T., Abiodun, P. O., & Owolabi, O. A. (2025). Assessing air quality at HBCU engineering laboratories to enhance student safety and learning. 2025 ASEE Annual Conference & Exposition. American Society for Engineering Education.