Agata Rascio | Agricultural Science and Innovation | Research Excellence Award

Prof. Agata Rascio | Agricultural Science and Innovation | Research Excellence Award

CREA-CI | Italy

Agata Rascio is a senior plant physiologist with more than four decades of scientific contribution in crop ecophysiology, genetic resources, and plant stress biology, with a primary focus on durum wheat and quinoa. She earned a PhD in Productivity and Sustainability of Mediterranean Agricultural Systems from CREA, Italy, holds a three-year Specialistic Diploma in Nutrition from the University of Pavia (Faculty of Medicine), and graduated with a first-class degree in Biology from the University of Pavia. Her professional career includes long-term service as Senior Research Scientist and Laboratory Director at CREA-CI in Foggia, professorship under the Italian Ministry of Public Education, and consultancy roles in crop physiology. Her research interests span abiotic stress tolerance, yield formation in semi-arid environments, phenotyping methodologies, induced mutagenesis for biodiversity enhancement, gene expression under environmental stress, and metabolomic and nutraceutical characterization of plant genetic resources. SActively engaged in global scientific networks and editorial activities, she has also contributed as an evaluator for major international programs. Her achievements include the Wheat Initiative Recognition Award for innovative phenotyping approaches supporting wheat improvement, underscoring her lasting influence on sustainable agriculture and crop resilience research.

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Enhanced osmotolerance of a wheat mutant selected for potassium accumulation
A. Rascio, M. Russo, L. Mazzucco, C. Platani, G. Nicastro, N. Di Fonzo,
Plant Science, 160(3), 441–448, 2001. (Citations: 113)

The accumulation of solutes and water binding strength in durum wheat
A. Rascio, C. Platani, G. Scalfati, A. Tonti, N. Di Fonzo,
Physiologia Plantarum, 90(4), 715–721, 1994. (Citations: 74)

Leaf morphology and water status changes in Triticum durum under water stress
A. Rascio, M.C. Cedola, M. Toponi, Z. Flagella, G. Wittmer,
Physiologia Plantarum, 78(3), 462–467, 1990. (Citations: 70)

Physiological responses to water stress following a conditioning period in berseem clover
A. Iannucci, A. Rascio, M. Russo, N. Di Fonzo, P. Martiniello,
Plant and Soil, 223(1), 219–229, 2000. (Citations: 64)

Characterisation of quinoa (Chenopodium quinoa Willd.) accessions for saponin content in a Mediterranean environment
G. De Santis, C. Maddaluno, T. D’Ambrosio, A. Rascio, M. Rinaldi, J. Troisi,
Italian Journal of Agronomy, 11(4), 2016. (Citations: 55)

Talal Al-Bazali | Petroleum Engineering | Excellence in Research Award

Dr. Talal Al-Bazali | Petroleum Engineering | Excellence in Research Award

Kuwait University | Kuwait

Dr. Talal M. Al-Bazali is a distinguished petroleum engineering academic and industry expert with over two decades of combined experience in higher education, research, and the global oil and gas sector. His research spans petroleum economics, oil price volatility, drilling fluids engineering, shale wellbore stability, petrophysical and geomechanical properties of rocks, underbalanced drilling, clay mineralogy, alternative energy, and environmental engineering. Dr. Al-Bazali has led and participated in major funded research projects with Kuwait University, Kuwait Oil Company, and international industry consortia, and has supervised numerous M.S. theses and projects. Beyond academia, he has held senior industry and advisory roles, including Vice President at the World Petroleum Council, and serves on multiple international journal editorial boards. His contributions have been recognized with prestigious academic honors, and he remains a prominent voice bridging scientific research, engineering practice, and energy policy.

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A New Gravimetric–Swelling Test for Evaluating Water and Ion Uptake in Shales
J. Zhang, M.E. Chenevert, T. Al-Bazali, M.M. Sharma, SPE Annual Technical Conference and Exhibition, SPE-89831-MS, 2004. (Citations: 127)


Factors Controlling the Membrane Efficiency of Shales When Interacting with Water-Based and Oil-Based Muds
T.M. Al-Bazali, J. Zhang, M.E. Chenevert, M.M. Sharma, SPE International Oil & Gas Conference and Exhibition (China), SPE-100735-MS, 2006. (Citations: 126)


Measurement of the Sealing Capacity of Shale Caprocks
T.M. Al-Bazali, J. Zhang, M.E. Chenevert, M.M. Sharma, SPE Annual Technical Conference and Exhibition, SPE-96100-MS, 2005. (Citations: 113)

Experimental Study of the Membrane Behavior of Shale During Interaction with Water-Based and Oil-Based Muds
T.M. Al-Bazali, Ph.D. Dissertation, The University of Texas at Austin, 2005. (Citations: 97)


The Impact of Water Content and Ionic Diffusion on the Uniaxial Compressive Strength of Shale
T. Al-Bazali, Egyptian Journal of Petroleum, 22(2), 249–260, 2013. (Citations: 84)

Liudmila Alexandrova | Biology and Life Sciences | Research Excellence Award

Dr. Liudmila Alexandrova | Biology and Life Sciences | Research Excellence Award

EIMB RAS | Russia

Liudmila A. Alexandrova is a senior researcher at the Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, with a distinguished career spanning several decades in molecular biology and medicinal chemistry. She received her education from Lomonosov Moscow State University and completed her postgraduate training at EIMB RAS. An Alexander von Humboldt Foundation, she has gained extensive international research experience through postdoctoral work in Czechoslovakia and Germany. Her scientific contributions include the design and synthesis of biologically active modified nucleosides and nucleotides, with a strong focus on antiviral, antibacterial, and antifungal drug mechanisms. She has authored more than 100 peer-reviewed publications and holds five Russian patents, reflecting a substantial body of documented research output.  She has successfully supervised four PhD dissertations and over 35 diploma theses, while currently mentoring postgraduate researchers. Recipient of two Russian Academy of Sciences awards, her work has significantly advanced the development of novel bacterial and fungal growth inhibitors, establishing her as a respected contributor to biomedical and chemical research with lasting scientific influence.

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The synthesis and antituberculosis activity of 5′-nor carbocyclic uracil derivatives
E. Matyugina, A. Khandazhinskaya, L. Chernousova, S. Andreevskaya, Bioorganic & Medicinal Chemistry, 20(22), 6680–6686, 2012. (Citations: 82)


Inhibition of Mycobacterium tuberculosis strains H37Rv and MDR MS-115 by a new set of C5 modified pyrimidine nucleosides
E.R. Shmalenyuk, L.N. Chernousova, I.L. Karpenko, S.N. Kochetkov, Bioorganic & Medicinal Chemistry, 21(17), 4874–4884, 2013. (Citations: 72)


2′-Deoxynucleoside 5′-triphosphates modified at α-, β- and γ-phosphates as substrates for DNA polymerases
L.A. Alexandrova, A.Y. Skoblov, M.V. Jasko, L.S. Victorova, A.A. Krayevsky, Nucleic Acids Research, 26(3), 778–786, 1998. (Citations: 68)


Oligonucleotide derivatives bearing reactive and stabilizing groups attached to C5 of deoxyuridine
A.S. Levina, D.R. Tabatadse, L.M. Khalimskaya, T.A. Prichodko, G.V. Shishkin, Bioconjugate Chemistry, 4(5), 319–325, 1993. (Citations: 49)


Colorimetric solid-phase minisequencing assay illustrated by detection of alpha 1-antitrypsin Z mutation
L. Harju, T. Weber, L. Alexandrova, M. Lukin, M. Ranki, A. Jalanko, Clinical Chemistry, 39(11), 2282–2287, 1993. (Citations: 47)

Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

Dr. Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

Tarbiat modares university | Iran

Mohammadreza Hasandust Rostami is a mechanical engineering researcher specializing in renewable energy systems, computational fluid dynamics (CFD), and advanced thermal engineering. He is currently pursuing doctoral research in biosystem mechanics with a strong academic record and extensive experience in numerical modeling, thermal optimization, and energy-efficient system design. His research portfolio includes peer-reviewed journal articles indexed in international databases, contributing to an established h-index, multiple published documents, and an increasing citation record within the fields of heat and mass transfer and sustainable energy systems. His scholarly work focuses on thermal energy storage systems, atmospheric water generation technologies, nanofluid-enhanced heat exchangers, phase change materials, and geothermal-assisted cooling solutions. Professionally, he has served as an industrial design engineer, mechanical engineer, and consulting specialist, collaborating with manufacturing and heavy industry sectors on FEM analysis, CFD simulations, and thermal performance optimization using advanced engineering software. His research outputs have appeared in reputable international journals published by Wiley, MDPI, and other academic publishers, and several additional works are under review. Through applied research, industrial consulting, and interdisciplinary innovation, his work contributes to energy efficiency, water sustainability, and climate-responsive engineering, positioning him as an emerging researcher at the intersection of thermal sciences, renewable energy, and computational engineering.

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Thermal Performance Investigation of SWCNT and Graphene Quantum Dots Nanofluids in a Shell-and-Tube Heat Exchanger Using Fin-Blade Tubes
M. H. Rostami, G. Najafi, B. Ghobadin, A. Motevali.
Heat Transfer, 2020, 49(8), 4783–4800. (Citations: 23)


Evaluation and Improvement of PCM Melting in Double-Tube Heat Exchangers Using Nanoparticle–PCM Combinations for Renewable Energy Systems
A. Motevali, M. Hasandust Rostami, G. Najafi, W. M. Yan.
Sustainability, 2021, 13(19), 10675. (Citations: 21)


Evaluation and Enhancement of Thermal Energy Performance of Heat Exchangers Using SWCNT, GQD Nanoparticles and PCM (RT82)
M. H. Rostami, G. Najafi, A. Motevali, N. A. C. Sidik, M. A. Harun.
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2021, 79(1). (Citations: 15)


Numerical Analysis of Thermal and Hydrothermal Characteristics of a Heat Sink with Various Fin Configurations and Ternary Nanofluid Composition
A. Najafpour, M. H. Rostami.
Case Studies in Thermal Engineering, 2025, 68, 105928. (Citations: 12)


Experimental Analysis and CFD Simulation of a Photovoltaic/Thermal System Using Nanofluids for Sustainable Energy Solutions
M. F. Ghazali, M. I. Maulana, N. A. C. Sidik, G. Najafi, M. I. M. Rashid, M. F. Jamlos, et al.
Journal of Advanced Research in Numerical Heat Transfer, 2024, 24(1), 1–13. (Citations: 8)

Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

Dr. Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

Università degli studi di Napoli Federico II | Italy

Leone Ermes Romano is a plant biologist and space life sciences researcher specializing in plant adaptation to altered gravity environments, with a strong focus on sustainable food production for space exploration. He is currently a PhD researcher at the University of Naples Federico II, where he is also serving as Principal Investigator on European Space Agency–supported projects. Romano received advanced academic training in plant physiology and space biology, developing expertise in experimental design, spaceflight hardware development, and controlled-environment cultivation systems. His research experience includes leadership and key scientific roles in ESA and ASI projects such as SuperFood for Space, Wolffia Hyper-g, Rootrop, Multitrop, and WAPS, as well as hands-on work at NASA’s Kennedy Space Center during late-access flight preparations. His primary research interests include plant gravitropism, hypergravity and microgravity effects on growth, duckweed (Wolffia spp.) biology, space farming, and bioregenerative life-support systems. He has contributed to peer-reviewed scientific publications indexed in Scopus and currently holds a Scopus profile with h-index: 8, documents: 16, and citations: 140, reflecting a growing international research impact. Romano has been associated with award-winning ESA CORA projects and competitive space research initiatives. His work contributes to advancing space agriculture and resilient crop systems, supporting long-duration human space exploration and sustainable food technologies.

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

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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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

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Predictive approach to the degree of business process change

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


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

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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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

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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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

Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

Mr. Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

Ecole Polytechnique de Tunisie | Tunisia

Oussama El Othmani is an emerging researcher and software engineer whose work bridges artificial intelligence, explainable machine learning, and applied computer engineering. He is currently pursuing a PhD in ETIC, following a strong academic foundation in computer engineering and preparatory mathematics–physics, with rigorous training in artificial intelligence, advanced learning algorithms, computer architecture, databases, and software methodology. Professionally, he has contributed to complex, mission-critical software systems, working across the full software development lifecycle while applying agile methodologies, object-oriented design, and hardware-aware optimization. His research interests focus on explainable and interpretable AI, machine learning, rough set theory, soft computing, computer vision, natural language processing, and AI applications in healthcare and high-stakes decision systems. He has led and contributed to multiple applied AI projects, including medical chatbots, diagnostic decision-support systems, blood anomaly detection, and antibiotic resistance classification. His scholarly output includes peer-reviewed publications in applied AI, He has also gained recognition through research-driven projects aligned with national and institutional initiatives. Overall, his profile reflects a strong balance of academic research, applied innovation, and real-world impact, positioning him as a promising contributor to the future of trustworthy and explainable artificial intelligence.

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