Alexander Zhgun | Engineering and Technology | Research Excellence Award

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Dr. Alexander Zhgun | Engineering and Technology | Research Excellence Award

Group of Fungal Genetic Engineering, Federal Research Center | Russia

Alexander Alexandrovich Zhgun is a senior researcher and head of the Fungal Genetic Engineering Group at the Federal Research Center “Fundamentals of Biotechnology” of the Russian Academy of Sciences, with more than three decades of scientific contribution in biotechnology and cultural heritage protection. He earned his biology degree from Lomonosov Moscow State University and completed a PhD focused on cytochromes P450, building a strong foundation in molecular and fungal biotechnology. His academic career progressed from researcher to group leader, culminating in his appointment as head of the fungal genetic engineering group. His research interests center on molecular diagnostics of biodeterioration, metabolic engineering of fungal strains, secondary fungal metabolites, and biotechnological strategies for protecting historical paintings from microbial damage. Under his leadership, innovative diagnostic systems and preventive technologies for biodegradation of cultural heritage have been developed, alongside pioneering studies that reframe painting-destructive fungi as valuable biotechnological resources.  His scholarly impact includes an h-index reported in the range of 15–16 with corresponding citation records across major databases. Overall, his work bridges fundamental science and applied innovation, delivering lasting impact in biotechnology, antimicrobial discovery, and cultural heritage conservation.

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Featured Publications



Detection of Potential Biodeterioration Risks for Tempera Paintings in 16th-Century Exhibits from the State Tretyakov Gallery
A.A. Zhgun, D.A. Avdanina, K.V. Shumikhin, N.P. Simonenko, E.V. Lyubavskaya, et al.,
PLoS One, 15(4), e0230591, 2020. (Citations: 57)


A Novel L-Asparaginase from the Hyperthermophilic Archaeon Thermococcus sibiricus: Heterologous Expression and Characterization
M.V. Dumina, A.A. Zhgun, M.V. Pokrovskaya, S.S. Aleksandrova, et al.,
International Journal of Molecular Sciences, 22(18), 9894, 2021. (Citations: 41)


1,3-Diaminopropane and Spermidine Upregulate Lovastatin Production via LaeA Regulation in Aspergillus terreus
A.A. Zhgun, G.K. Nuraeva, M.V. Dumina, T.M. Voinova, et al.,
Applied Biochemistry and Microbiology, 55(3), 243–254, 2019. (Citations: 37)


Application of Chitosan for Protection of 15th–16th Century Cultural Heritage Objects from Microbial Damage
A.A. Zhgun, D.A. Avdanina, B.T. Shagdarova, E.V. Troyan, et al.,
Materials, 15(21), 7773, 2022. (Citations: 12)

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.

Meltem Eranıl | Social Sciences | Excellence in Research Award

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Assist. Prof. Dr. Meltem Eranıl | Social Sciences | Excellence in Research Award

Izmir University of Economics | Turkey

Meltem Eranil is an academic researcher affiliated with Yaşar University, Turkey, with scholarly contributions indexed in Scopus that reflect a focused and emerging research profile. According to Scopus data, she has authored 3 peer-reviewed documents, which together have received 36 citations, resulting in an h-index of 1, indicating growing academic influence within her field. Her academic background is grounded in advanced university-level training, supporting her engagement in research, teaching, and scholarly collaboration. Professionally, she has contributed to academic research through publication activity and co-authored works, demonstrating experience in collaborative and interdisciplinary environments. Her research interests align with contemporary themes in her discipline, emphasizing analytical rigor, applied methodologies, and knowledge dissemination through indexed journals. Although no awarded grants are currently listed in Scopus, her citation impact highlights the relevance of her work within the scholarly community. Overall, Meltem Eranil’s academic profile reflects a developing research trajectory marked by peer-reviewed publications, measurable citation impact, and ongoing contributions to academic scholarship, positioning her as a researcher with potential for continued growth and broader international visibility.

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Featured Publications

Z. Seymen, M. Eranıl
Kadın/Woman 2000: Journal for Women’s Studies, 24(2), 2024 ·

Ö. Demirbaş, M. Eranıl
IDA International Design and Art Journal, 2023 ·

M. Eranıl, M. O. Gürel
Gender, Place & Culture, 2018 ·

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

Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Featured Publications


Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70

Rima Isaifan | Sustainable Development | Research Excellence Award

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Assoc. Prof. Dr. Rima Isaifan | Sustainable Development | Research Excellence Award

Georgetown University and Ministy of Higher Education Qatar | Qatar

Dr. Rima J. Isaifan is a distinguished chemical and environmental engineer, researcher, and higher-education quality assurance expert with a Ph.D. with highest honor in Chemical Engineering. She holds an h-index of26, with 65 peer-reviewed research documents and over 1,844 citations, reflecting sustained global research impact. Her academic experience spans associate professorships, adjunct appointments, and senior academic accreditation leadership roles across internationally recognized institutions, alongside extensive service as an evaluator, rapporteur, and expert reviewer for the European Commission, United Nations bodies, and national research agencies. Her research interests integrate air quality and climate change, decarbonization technologies, renewable and sustainable energy systems, nanotechnology and advanced materials, carbon management, urban sustainability, and AI applications in higher education quality assurance and policy. She has contributed to high-impact Q1 journals, interdisciplinary policy-oriented research, and applied sustainability solutions relevant to arid and rapidly urbanizing regions. Her professional excellence has been recognized through multiple international awards, including innovation and research distinctions in higher education quality assurance, sustainability, and environmental research. Through her combined roles in academia, policy, and consultancy, Dr. Isaifan continues to advance evidence-based decision-making, sustainable development practices, and globally relevant frameworks linking science, technology, and education quality, positioning her as a leading voice at the intersection of environmental engineering, climate-health research, and academic governance.

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Kevin Clark | Neuroscience | Research Excellence Award

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Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

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Mr. Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

Yachay Tech University | Ecuador

Jeremy Fabrizio Carlosama Quinatoa is an emerging researcher in biomedical engineering whose work focuses on applying machine learning and intelligent sensing technologies to healthcare and rehabilitation. He holds a degree in Biomedical Engineering from Yachay Tech University, where his academic training emphasized biomechanics, human motion analysis, and data-driven medical systems. His professional experience includes teaching and research activities in biomechanics and biomedical signal processing, as well as participation in interdisciplinary projects that integrate inertial sensors, motion capture systems, neural networks, and clinical data. His research interests span machine learning for healthcare, rehabilitation engineering, inertial sensor systems, neural-network-based medical diagnosis, and assistive technologies. He has authored peer-reviewed research outputs including a journal article in Sensors (MDPI) and international conference book chapters addressing low back pain assessment, sign-language recognition, and heart failure diagnosis using artificial intelligence. As of 2025, his scholarly record includes 4 publications, an h-index of 2, and over 30 citations, reflecting growing academic impact at an early career stage. His work demonstrates a strong commitment to translational research that bridges engineering innovation and clinical application, positioning him as a promising young scientist contributing to the advancement of intelligent healthcare technologies.

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Featured Publications

Ecuadorian Sign Language Detection in Real Time

J. Carlosama, S. Criollo, C. Játiva, V. Mina, S. Velastegui, J. de-la-A, et al.
International Conference on Computer Science, Electronics and Industrial Engineering, 2023

InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients

J. Carlosama, L. Zhinin-Vera, C. Guevara, C. Cadena-Morejón, et al.
Sensors, Vol. 25(21), Article 6665, 2025

Diagnosis of Heart Failure: Integrating Echocardiographic and Clinical Data Through Neural Networks

V. Arrobo-Sarango, J. Carlosama, D. Almeida-Galárraga, A. Tirado-Espín, et al.
International Conference on Smart Technologies, Systems and Applications, 2024

Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

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Dr. Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

Federal University of Technology, Akure | Nigeria

Adetayo Folorunso is an established scholar in applied geophysics and environmental geosciences with a strong record of scientific contributions to groundwater, marine, and exploration geophysics.  Academic training and professional experience span geophysics, earth sciences, and applied geoscience, with extensive involvement in teaching, postgraduate supervision, and collaborative research across Nigerian and international institutions. Research work integrates electrical resistivity tomography (ERT), marine geophysics, hydrogeophysics, seismic interpretation, and environmental geophysics, addressing critical challenges such as saline water intrusion, groundwater vulnerability, subsurface contamination, and reservoir characterization. Contributions include high-impact journal articles, interdisciplinary studies combining geophysical and geochemical methods, and methodological advances in finite-element and CSEM modeling. Recognition includes scholarly visibility, sustained citation performance, and leadership in collaborative geoscience research. Overall, the body of work demonstrates a strong commitment to advancing applied geosciences through data-driven analysis, field-based investigations, and solutions relevant to environmental sustainability, resource exploration, and geotechnical risk assessment.

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Featured Publications


Integrated Geophysical and Geochemical Methods for Environmental Assessment of Municipal Dumpsite System

International Journal of Geosciences, 4(5), 850–862, 2013 · Citations: 59


Engineering Site Characterisation Using 2-D and 3-D Electrical Resistivity Tomography

Earth Science Research, 2(1), 133–142, 2013 · Citations: 41