Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Published on by Research Data Analysis

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
613

Documents
72

h-index
14

Citations

Documents

h-index


View Scopus Profile View Orcid Profile

Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

Published on by Research Data Analysis

Prof. Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

University of Oradea | Romania

Prof. Mierlita Daniel is a distinguished Professor of Animal Nutrition at the University of Oradea, with extensive expertise in nutrition and feeding of ruminants and poultry. He began his academic career as an Assistant and Lecturer at USAMV Cluj-Napoca from 1993 to 2003, delivering practical courses in animal nutrition. Since 2009, he has served as Professor and Assistant Professor at the University of Oradea, focusing on applied nutrition for economically important livestock species. He earned his PhD in Animal Nutrition/Animal Science Engineering in 1999 from USAMV Cluj-Napoca and has completed specialized international training in sheep and goat production, agricultural consulting, and rural sciences at institutions including Aberystwyth University, Debrecen Agricultural University, and Swiss REBIAT. Prof. Mierlita has directed eight research grants and participated in over 11 projects on optimizing nutrition and productivity of sheep, poultry, and dairy cows, with a particular focus on functional foods. He has published 231 scientific articles, including 112 as single or first author (93 indexed internationally), 41 ISI papers (21 with impact factor), and 17 books or chapters. His work has received 541 citations from 421 documents, with an h-index of 14. He serves as a reviewer and guest editor for several indexed journals. His research advances animal nutrition, fatty acid profiles in animal products, and sustainable livestock production.

View Scopus Profile
 View Orcid Profile

Featured Publications

Erika Azorin-vega | Qualitative Research | Women Researcher Award

Published on by Research Data Analysis

Dr. Erika Azorin-vega | Qualitative Research | Women Researcher Award

Instituto Nacional De Investigaciones Nucleares | Mexico

Erika Patricia Azorín Vega is a distinguished researcher at the Instituto Nacional de Investigaciones Nucleares, specializing in radiopharmaceuticals and their applications in cancer diagnosis and therapy. She holds a Bachelor’s degree in Experimental Biology from Universidad Autónoma Metropolitana-Iztapalapa, a Master’s in Sciences, and a Ph.D. in Bio-Physiology and Neurosciences from CINVESTAV-IPN, with research focused on cellular interactions with extracellular matrices and tumor cell biology. Since 2013, she has led pioneering work in radiopharmaceutical development, resulting in four international patents and over 80 scientific publications with nearly a thousand citations. Her academic contributions include directing multiple undergraduate and graduate theses, reviewing projects for national and international funding agencies, and participating in thesis evaluations globally. She has served as a professor and invited lecturer at several universities, delivering specialized courses in radiobiology, dosimetry, and medical physics, both nationally and internationally. Her research interests encompass radiopharmaceutical design, cancer radiotherapy, metabolomics, and radiation protection. Recognized for her excellence in scientific communication, she has delivered numerous conferences and outreach presentations to advance knowledge in nuclear medicine. Erika’s work continues to shape the field of radiopharmaceutical research and the training of highly skilled professionals in medical physics and biotechnology.

Profile : Google Scholar

Featured Publications

Jiménez-Mancilla, N., Ferro-Flores, G., Santos-Cuevas, C., & et al. (2013). Multifunctional targeted therapy system based on 99mTc/177Lu-labeled gold nanoparticles-Tat(49–57)-Lys3-bombesin internalized in nuclei of prostate cancer. Journal of Labelled Compounds and Radiopharmaceuticals, 56(13), 663–671.

Ferro-Flores, G., Luna-Gutiérrez, M., Ocampo-García, B., Santos-Cuevas, C., & et al. (2017). Clinical translation of a PSMA inhibitor for 99mTc-based SPECT. Nuclear Medicine and Biology, 48, 36–44.

Mendoza-Nava, H., Ferro-Flores, G., Ramírez, F. M., Ocampo-García, B., & et al. (2016). 177Lu-dendrimer conjugated to folate and bombesin with gold nanoparticles in the dendritic cavity: A potential theranostic radiopharmaceutical. Journal of Nanomaterials, 2016(1), 1039258.

Azorín-Vega, A. V. E., Ferro-Flores, G., & Ocampo-García, B. E. (2014). Multifunctional radiolabeled nanoparticles for targeted therapy. Current Medicinal Chemistry, 21(1), 124–138.

Mendoza-Nava, H., Ferro-Flores, G., Ramírez, F. M., Ocampo-García, B., & et al. (2017). Fluorescent, plasmonic, and radiotherapeutic properties of the 177Lu–dendrimer-AuNP–folate–bombesin nanoprobe located inside cancer cells. Molecular Imaging, 16, 1536012117704768.

Tomasz Zatonski | Public Health | Research Excellence Award

Published on by Research Data Analysis

Prof. Tomasz Zatonski | Public Health | Research Excellence Award

Wroclaw Medical University | Poland

Prof. Tomasz Zatoński is a distinguished otolaryngologist and Associate Professor at the Medical University of Wrocław, Poland, currently serving as Vice-Rector for University Communications and Head of the Department of Otolaryngology-Head and Neck Surgery. He earned his MD from the Medical University of Wrocław, followed by specialization in otolaryngology, a doctoral degree on DNA ploidy analysis in laryngeal cancer, and a habilitation focusing on the role of HPV and cell cycle proteins in head and neck carcinogenesis. With a prolific research profile, Prof. Zatoński has authored 112 documents cited 1,551 times by 1,530 documents and holds an h-index of 20. His research interests focus on HPV-associated head and neck cancers, surgical oncology, endolaryngeal microsurgery, tumor markers, and carcinogenesis mechanisms. He has participated in numerous international observerships, teaching courses, and conferences in the USA, India, Israel, and Europe, and has been recognized with multiple awards for teaching, research, and service, including honors from the Medical University of Wrocław and the Minister of Health. Prof. Zatoński leads and contributes to significant national and international grants, including population cohort studies and biomedical research projects. His work integrates clinical expertise with translational research, advancing knowledge in head and neck oncology and improving patient care and outcomes globally.

Profiles : Scopus | Orcid

Featured Publications

📄 Fibrous Dysplasia of the Ethmoid Bone Diagnosed in a 10‑Year‑Old Patient
Zofia Resler, Monika Morawska‑Kochman, Katarzyna Resler, Tomasz Zatoński — Medicina (2025)
Open access case report of rare fibrous dysplasia in a child, including clinical presentation and management.
🔗 Read full text

📄 Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
F. Busch et al. — JAMA Network Open (2025)
Large international survey exploring patient trust, preferences, and concerns regarding AI use in health care and diagnostics.
🔗 Read full text

📄 Age‑related Hearing Loss Associated With Cognitive Impairment in the Polish Cohort of the PURE Study
Połtyn‑Zaradna K., Pazdro‑Zastawny K., Szcześniak D., et al. — Frontiers in Aging Neuroscience (2025)
Open access study linking presbycusis (age‑related hearing loss) with cognitive impairment in a Polish adult cohort.
🔗 Read full text

📄 Fabrication and Comprehensive Evaluation of Zr‑Based Bulk Metallic Glass Matrix Composites for Biomedical Applications
Science China Materials (2024)
Open access materials science research on zirconium‑based bulk metallic glass composites relevant to biomedical implants and applications.
🔗 Search on journal site

📄 Hypertension in Adult Population Under 50 in the Population Cohort Study of Wroclaw Citizens (PICTURE): Prevalent, Undetected, and Mostly Preventable
Critical Public Health (2025)
Open access population health article examining the epidemiology and prevention potential for hypertension in younger adults.
🔗 Search on journal site

George Vlontzos | Agricultural Data Analysis | Research Excellence Award

Published on by Research Data Analysis

Prof. George Vlontzos | Agricultural Data Analysis | Research Excellence Award

University of Thessaly | Greece

Prof. George Vlontzos is a distinguished agricultural economist and Full Professor at the University of Thessaly, Greece, where he directs the Laboratory of Agricultural Economics and Consumer Behavior. He holds a Ph.D. in Planning and Regional Development (University of Thessaly), an MBA in Agribusiness (University of Wales, Aberystwyth) and a BSc in Agriculture (Aristotle University of Thessaloniki). With a strong international academic profile, he has served as a visiting professor at the University of Florida and contributed to graduate programs at the Mediterranean Agronomic Institute of Montpellier. Prof. Vlontzos has authored 62 documents indexed on Scopus with 952 citations by 886 documents and an h‑index of 17, reflecting significant research impact in agricultural economics, efficiency and sustainability analysis, consumer behavior, optimization and AI applications in agriculture. His research employs advanced quantitative and behavioral models—such as Data Envelopment Analysis, Stochastic Frontier Analysis, the Theory of Planned Behavior and Artificial Neural Networks—to address economic and environmental efficiency, consumer decision processes, and sustainable agri‑food systems. He has published extensively in refereed journals, participated in major international conferences, and contributed to multiple competitive projects co‑funded by the EU, national and private sources. His leadership in research and education underscores his influence in shaping sustainable agricultural policy and practice.

Profile : Scopus

Featured Publications

Assessing the economic impact of insect pollination on the agricultural sector: A department-level case study in France

– Environmental and Sustainability Indicators, 2025

Emerging Technologies for Investigating Food Consumer Behavior: A Systematic Review

– Review, 2025

A hybrid remotely operated underwater vehicle for maintenance operations in aquaculture: Practical insights from Greek fish farms

– Computers and Electronics in Agriculture, 2025

Digital Transformation of Food Supply Chain Management Using Blockchain: A Systematic Literature Review Towards Food Safety and Traceability

– Business and Information Systems Engineering, 2025

Variable RTS in hierarchical network DEA: Enhancing efficiency in higher education systems

– Socio Economic Planning Sciences, 2024

Khalid Alanazi | Engineering | Research Excellence Award

Published on by Research Data Analysis

Dr. Khalid Alanazi | Engineering | Research Excellence Award

Department of Mechanical Engineering/University of Tabuk | Saudi Arabia

Dr. Khalid Alanazi is an Assistant Professor of Mechanical Engineering at the University of Tabuk, specializing in energy systems, fluid mechanics, and material erosion studies. He earned his B.Sc. in Mechanical Engineering with distinction from the University of Tabuk, followed by M.Sc. and Ph.D. degrees from the University of Tulsa, where he conducted extensive research on solid particle erosion, oil-water emulsions, and computational fluid dynamics. Over his academic career, Dr. Alanazi has contributed to both teaching and curriculum development, instructing courses ranging from Engineering Mechanics and Fluid Mechanics to Turbomachinery and Refrigeration Systems, while supervising senior design projects and field training programs. His research primarily focuses on solar-powered desalination technologies, oil-water emulsion behavior under variable conditions, and the erosion resistance of metals in gas-solid flows. Dr. Alanazi has published numerous papers in high-impact journals and presented at international conferences, reflecting his commitment to advancing both fundamental and applied mechanical engineering. Recognized for his academic excellence, he has received multiple awards including the Prince Fahad bin Sultan Award for Academic Excellence and the Chapman Graduate Scholar Presentation Awards. His work continues to bridge experimental, computational, and applied approaches, contributing to sustainable engineering solutions and industrial applications worldwide.

Profile : Google Scholar

Featured Publications

Alanazi, K., Mohan, R. S., Kolla, S. S., & Shoham, O. (2024). “Effects of water salinity and temperature on oil-in-water emulsions stabilized by a nonionic surfactant.” Journal of Molecular Liquids, 414, 126067.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Experimental study of monovalent salt and hydrochloric acid solution effects on the stability of blank oil-water dispersion in batch separators.” ASME International Mechanical Engineering Congress and Exposition, 87660.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Effect of water cut and temperature on the stability of emulsifier-free oil-water dispersion in batch separators at various stirrer speeds.” ASME International Mechanical Engineering Congress and Exposition, 87660.

AbdelMeguid, H., Alanazi, K., Al-Shammari, A. F., Al-Twaim, O., Aljuhani, A., et al. (2025). “Sequential thermal and optical upgrades for passive solar stills: Toward sustainable desalination in arid climates.” Clean Energy and Sustainability, 3(4), 10017.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2025). “Stability analysis of pure oil-water emulsion in gravity-based separators.” Journal of Fluids Engineering, 147(1), 011401.

Almudena García-García | Climate Change Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Almudena García-García | Climate Change Data Analysis | Best Researcher Award

Helmholtz Centre for Environmental Research – UFZ | Germany

Dr. Almudena García-García is a scientist specializing in remote sensing and environmental sciences, currently affiliated with the Helmholtz Centre for Environmental Research (UFZ) and the Remote Sensing Centre for Earth System Research at Leipzig University. She earned her Ph.D. in Environmental Science from Memorial University of Newfoundland and St. Francis Xavier University, following an M.Sc. in Earth Sciences and a B.Sc. in Physics. With extensive experience as a course and lab instructor, research assistant, and project manager, her work focuses on climate extremes, soil heat dynamics, hydrology, and biodiversity under changing environmental conditions. Dr. García-García has led and contributed to multiple national and international research projects, including DFG-funded studies on soil heat extremes and ESA’s 4DHYDROLOGY initiative. She has co-authored numerous high-impact peer-reviewed publications on soil moisture, transpiration, land-surface modeling, and Earth observation data integration. Recognized for her scientific excellence, she has received the Governor General Graduate Medal, the Moire A. Wadleigh Award, and a nomination to the 73rd Lindau Nobel Laureate Meeting. Dr. García-García has supervised bachelor, master, and Ph.D. students, fostering the next generation of environmental scientists. Her research combines remote sensing, Earth system modeling, and observational data to better understand the impacts of climate variability and extremes on terrestrial and hydrological systems.

Profile : Orcid

Featured Publications

Beltrami, H., González-Rouco, J. F., Peng, J., Cuesta-Valero, F. J., García-García, A., & García-Pereira, F. (2025, November 12). Robust increase in observed heat storage by the global subsurface. Science Advances.

Mahecha, M. D., Bastos, A., Bohn, F. J., Eisenhauer, N., Feilhauer, H., Hickler, T., Kalesse-Los, H., Migliavacca, M., Otto, F. E. L., Peng, J., et al. (2024). Biodiversity and climate extremes: Known interactions and research gaps. Earth’s Future.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Melo-Aguilar, C., Steinert, N. J., Garcia-Bustamante, E., de Vrese, P., Jungclaus, J., Lorenz, S., Hagemann, S., Cuesta-Valero, F. J., et al. (2024). First comprehensive assessment of industrial-era land heat uptake from multiple sources. Earth System Dynamics, 15, 547–2024.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Schmid, T., Melo-Aguilar, C., Vegas-Canas, C., Steinert, N. J., Roldan-Gomez, P. J., Cuesta-Valero, F. J., Garcia-Garcia, A., & Beltrami, H., et al. (2024). Thermodynamic and hydrological drivers of the soil and bedrock thermal regimes in central Spain. Soil, 10, 1–2024.

Meng, X., Hu, J., Peng, J., Li, J., Leng, G., Ferhatoglu, C., Li, X., Garcia-Garcia, A., & Yang, Y. (2024). Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature.

Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

Published on by Research Data Analysis

Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

Serges Kikwani | Mechanics of Solids | Best Researcher Award

Published on by Research Data Analysis

Dr. Serges Kikwani | Mechanics of Solids | Best Researcher Award

Laboratory of Mechanics and Acoustics (LMA) | Congo, Democratic Republic of the

Dr. Serges Kikwani is a PhD Research Scholar in Solid Mechanics at the Laboratory of Mechanics and Acoustics (LMA), Aix-Marseille University, France, where his research focuses on modeling thermomechanical coupling in adhesive bonding through experimental, analytical, and numerical methods. He holds a DEA in Applied Fluid Mechanics and an Engineering degree in Mechanical Construction from the University of Kinshasa, DRC. With extensive academic and industrial experience, Dr. Kikwani has contributed to mechanical design, thermodynamic solar pumping systems, and infrastructure projects in collaboration with JICA and other institutions. He has held teaching and research positions at multiple universities, including the University of Kinshasa, Loyola University, and the American University of Kinshasa, coordinating academic programs and mentoring students. His research interests encompass materials mechanics, structural adhesives, thermal characterization, and energy-efficient systems. He has published studies on thermal and viscoelastic characterization of adhesives, introducing non-destructive methods using PZT resonance and inverse finite element analysis to determine dynamic material properties. Recognized for his contributions to adhesive materials research, he was nominated for the Best Researcher Award for advancing understanding of dynamic and vibratory behavior in polymers. His work supports the development of more reliable and efficient structural bonding solutions, bridging theoretical, numerical, and experimental approaches in solid mechanics.

Profile: Orcid

Featured Publications

Kikwani, S. (2025). “Thermal characterization of adhesives and studies of CTR between metal and adhesives.” In Proceedings, Springer.

Kikwani, S. (2025). “Multi-Scale Characterization of Viscoelastic Properties in Structural Adhesives Using PZT Resonance and Non-Contact Impulse Validation.” Results in Engineering, November 6, 2025.

Kikwani, S. (2025). “Thermal characterization of adhesives and studies of CTR between metal and adhesives.” 8th International Conference on Adhesive Bonding 2025, Porto, Portugal, July 11, 2025.