Mr. Girma Gilano | mHealth | Best Researcher Award

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Mr. Girma Gilano | mHealth | Best Researcher Award

Mr. Girma Gilano | mHealth | Maastricht University | Netherlands

Mr. Girma Gilano Kaso, a dedicated and multidisciplinary scholar, currently serves as an Assistant Professor and Ph.D. candidate at Maastricht University, Netherlands, where his doctoral research focuses on “The Effect of mHealth on Exclusive Breastfeeding and Its Associated Factors Among Women in South Ethiopia: A Cluster Randomized Controlled Trial.” He holds a Master of Science in Public Health with a specialization in Health Informatics from the University of Gondar and a Bachelor of Science in Health Science (Clinical Nursing) from Jimma University. Mr. Kaso’s professional journey reflects a strong blend of teaching, research, and clinical practice, having served as an Assistant Professor in a higher education institution and as a Clinical Officer in a medium-sized clinic, contributing to patient care and institutional quality assurance. His leadership roles, such as serving as a Quality Control Officer, have enhanced his expertise in maintaining academic standards and coordinating multidisciplinary research initiatives. His primary research interests include mHealth applications for maternal and child health, epidemiological modeling, health informatics systems, and public health interventions using digital tools in low-resource settings. Mr. Kaso demonstrates extensive research skills in machine learning for health data analysis, statistical modeling, database management, and system design for healthcare applications. His research outputs have been recognized internationally through publications in reputable Scopus and IEEE-indexed journals. As a member of the academic and healthcare community, he has actively participated in international collaborations aimed at improving maternal and child health outcomes in Africa through innovative mobile health technologies. His awards and recognitions reflect his academic excellence and contributions to global health research, earning distinctions for his innovative approaches to public health challenges. Mr. Kaso’s scholarly commitment is further exemplified through his involvement in peer-reviewed publications and community-based healthcare improvement programs.

Professional Profiles: ORCID 

Featured Publications 

  1. Kaso, G. G. (2023). The Effect of mHealth on Exclusive Breastfeeding and Its Associated Factors Among Women in South Ethiopia: A Cluster Randomized Controlled Trial. (Citations: 42)

  2. Kaso, G. G. (2022). Spatial Distribution and Determinants of Exclusive Breastfeeding Practice Among Mothers of Children Under 24 Months of Age in Ethiopia: Spatial and Multilevel Analysis. (Citations: 36)

  3. Kaso, G. G. (2022). Effect of Mobile Phone Messaging on Uptake of Maternal and Child Health Service in Southern Ethiopia: Protocol for Cluster Randomized Controlled Trial. (Citations: 31)

  4. Kaso, G. G. (2023). The Effect of mHealth on Childhood Vaccination in Africa: A Systematic Review and Meta-Analysis. (Citations: 48)

  5. Kaso, G. G. (2021). The Role of mHealth Intervention to Improve Maternal and Child Health: A Provider-Based Qualitative Study in Southern Ethiopia. (Citations: 27)

  6. Kaso, G. G. (2020). Individual and Community-Level Factors Associated with Introducing Prelacteal Feeding in Ethiopia. (Citations: 34)

  7. Kaso, G. G. (2021). Mobile Health Interventions and Their Impact on Healthcare Delivery in Low-Resource Settings: A Review of Implementation Outcomes. (Citations: 29)

Dr. Basma Saad | Water Harvesting | Best Researcher Award

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Dr. Basma Saad | Water Harvesting | Best Researcher Award 

Dr. Basma Saad | Water Harvesting | Alexandria University | Egypt

Dr. Basma Hassan Saad is a highly accomplished academic and researcher serving as an Assistant Professor at the Rural Development Department, Faculty of Agriculture, Alexandria University, Egypt, where she has made significant contributions to the advancement of sustainable development and rural policy innovation. Holding a Ph.D. in Rural Development from Alexandria University, her doctoral research specialized in Development Studies, Governance and Policy Analysis, and Social and Economic Modelling. She also earned her M.S. in Rural Development and B.S. in Rural Sociology from the same institution, establishing a strong academic foundation in sustainable rural and agricultural systems. Throughout her professional career, Dr. Basma Hassan Saad has held several leadership and coordination roles, including Coordinator of the Agricultural Social and Economic Sciences Program, Coordinator of the Quality Assurance Unit, and Coordinator of the Measurement and Evaluation Unit at the Faculty of Agriculture. Her international exposure includes a Visiting Fellowship at the National Center for Social and Economic Modelling (NATSEM), Institute for Governance and Policy Analysis, University of Canberra, Australia, where she deepened her understanding of evidence-based governance and social policy design. Her research interests encompass sustainable rural development, governance, environmental sociology, social institutions, and socio-economic policy modelling, with a focus on rural transformation, climate resilience, and institutional capacity building. Dr. Saad’s research skills are well-demonstrated through her expertise in statistical and econometric software such as SPSS, STATA, E-VIEWS, and GraphPad Prism, enabling her to perform advanced quantitative and qualitative analyses. Her works have been published in peer-reviewed and indexed journals recognized by Scopus and Google Scholar, contributing valuable insights to the global academic community. Among her academic recognitions, she received the Professor Salah Alabd Prize for academic excellence in Rural Development and the First Place Prize in Basketball among Egyptian universities, reflecting her excellence both in academia and extracurricular activities. She is actively involved in institutional development and sustainability initiatives within her university and beyond.

Professional Profiles: Google Scholar

Featured Publications

  1. Saad, B. H., Morsi, M. M. H., & Sherif, S. (2024). Farmers’ awareness, attitude, and role towards climate change: Case of olive production in Egypt. Journal of the Advances in Agricultural Researches, 29(2), 263–278. Citations: 2

  2. Saad, B. H., El-Ansary, D., & Sherif, S. (2023). An assessment of performance effectiveness of agricultural cooperatives in Egypt: Case study of Nubariya District. Alexandria Science Exchange Journal, 44(3), 473–487. Citations: 2

  3. Schneider, X., Rodriguez-Sinobas, L., Segovia Cardozo, D. A., Bahnassy, M., & Saad, B. H. (2024). Water-Energy-Food-Ecosystem Nexus transition through the responsible research and innovation roadmap: Lessons learned from four Mediterranean countries. EGU General Assembly Conference Abstracts, 363. Citations: 1

  4. Saad, B. H. (2024). Factors affecting farmers’ sustainable environmental behaviour in Egypt. ASEJAIQJSAE Journal, 45(4). Citations: 1

  5. Saad, B. H. (2022). Measuring the determinant and results of beneficiaries’ satisfaction in the public services to build effective institutional capacities in rural areas in Egypt (An applied study). The Egyptian Science Magazine, 9(1), 1–22. Citations: 1

  6. Saad, B. H. (2023). The role of governance in enhancing social inclusion and rural participation in Egypt’s agricultural sector. Journal of Rural Development and Policy Studies, 12(3), 155–172. Citations: 3

  7. Saad, B. H. (2024). Socio-economic modelling for sustainable agricultural policy development in rural Egypt. International Journal of Agricultural and Environmental Governance, 8(2), 99–115. Citations: 2

Assoc. Prof. Dr. Peter Sevcik | Predictive | Best Researcher Award

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Assoc. Prof. Dr. Peter Sevcik | Predictive | Best Researcher Award 

Assoc. Prof. Dr. Peter Sevcik | Predictive | University of Zilina | Slovakia

Assoc. Prof. Dr. Peter Sevcik is a highly accomplished academic and researcher in the field of Technical Cybernetics, Embedded Systems, and Sensing Technologies, with a strong professional foundation built at the University of Žilina, Slovakia, where he currently serves as the Head of the Department of Technical Cybernetics under the Faculty of Management Science and Informatics. He earned his Ph.D. in Engineering from the University of Žilina, developing expertise that bridges intelligent sensing systems, cybernetics, and computational informatics. Throughout his academic journey, Assoc. Prof. Dr. Peter Sevcik has demonstrated excellence in teaching, research, and innovation, contributing significantly to the university’s research culture through leadership and collaborative initiatives. His professional experience includes long-standing engagement in research and academic administration, overseeing advanced projects that integrate Internet of Things (IoT), wireless sensor networks, energy harvesting systems, and smart automation. His research interests revolve around low-cost sensing solutions, predictive maintenance, digital MEMS sensor development, UAV-based environmental monitoring, and embedded software systems. Dr. Sevcik’s technical proficiency extends to system modeling, cyber-physical system design, embedded programming, IoT architecture development, and advanced signal processing. His scholarly work is widely published in prestigious IEEE, Scopus, and CrossRef-indexed journals, such as Sensors, Energies, and Concurrency and Computation: Practice and Experience, reflecting a consistent contribution to advancing the field of smart sensor technologies. In recognition of his scholarly achievements, Assoc. Prof. Dr. Peter Sevcik has received numerous professional honors and has been an invited collaborator on international research projects focusing on sustainable sensing, autonomous monitoring systems, and intelligent control.

Professional Profiles: ORCID  

Featured Publications 

  1. Kolok, P., Hodoň, M., Ševčík, P., Hotz, L., & Remy, N. (2025). Low-cost IoT-based predictive maintenance using vibration sensors. Sensors. Cited by 25.

  2. Sevcik, P., Sumsky, J., Baca, T., & Tupy, A. (2025). Self-sustaining operations with energy harvesting systems. Energies. Cited by 19.

  3. Formanek, L., Olesnanikova, V., Sarafin, P., & Sevcik, P. (2023). An innovative learning system for interconnected embedded systems. EDULEARN Conference Proceedings. Cited by 12.

  4. Hodoň, M., Ševčík, P., Kapitulík, J., & Danišovič, P. (2023). Embedded software development with a mobile robot. EDULEARN Conference Proceedings. Cited by 10.

  5. Formanek, L., Olesnanikova, V., Sarafin, P., & Sevcik, P. (2023). Prototype for measuring and predicting air quality using UAVs. EDULEARN Conference Proceedings. Cited by 9.

  6. Hodoň, M., Ševčík, P., Kapitulík, J., & Danišovič, P. (2023). Robot car – learning by doing. EDULEARN Conference Proceedings. Cited by 8.

  7. Hodoň, M., Karpiš, O., Ševčík, P., & Kociánová, A. (2021). Which digital-output MEMS magnetometer meets the requirements of modern road traffic survey? Sensors. Cited by 45.

Dr. Rajasekar Nagarajan | Cognitive Neuroscience | Best Researcher Award

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Dr. Rajasekar Nagarajan | Cognitive Neuroscience | Best Researcher Award

Dr. Rajasekar Nagarajan | Cognitive Neuroscience | University of Illinois at Urbana-Champaign | United States

Dr. Rajasekar Nagarajan, M. Pharmacy, Ph.D. is an accomplished neuroscientist and research professional specializing in neuropharmacology, with a distinguished record of international research spanning India, Italy, and the United States. Currently serving as a Research Scientist in the Department of Comparative Biosciences at the University of Illinois at Urbana-Champaign, USA, Dr. Rajasekar Nagarajan has made significant contributions to understanding the molecular mechanisms underlying neuroinflammation, cognitive impairment, and neurodegenerative diseases such as Alzheimer’s disease. He obtained his Ph.D. in Neuropharmacology from the CSIR-Central Drug Research Institute (CDRI), Lucknow, India, where his doctoral work focused on elucidating the role of astrocytic insulin receptor signaling in neuroinflammation and memory impairment. His educational journey also includes an M. Pharmacy in Pharmacology from S.R.M. University, Chennai, and a B. Pharmacy from Tamil Nadu Dr. M.G.R. Medical University, India. Professionally, Dr. Rajasekar Nagarajan has accumulated vast experience in academia and research, holding positions such as Lecturer and Assistant Professor in India, followed by successive research fellowships and postdoctoral positions at CDRI, the University of Verona, Italy, and the University of Illinois, USA. His international research projects include the European-funded IMMUNOALZHEIMER project and investigations into cellular mechanisms for age-related cognitive dysfunction. Dr. Nagarajan’s research interests lie in the fields of neuroinflammation, neurodegeneration, cognitive dysfunction, astrocyte and microglial biology, insulin receptor signaling, and pharmacological interventions for age-related cognitive disorders. His technical expertise covers advanced in-vivo and in-vitro models of memory impairment, miniscope-based calcium imaging, molecular biology assays, and immunohistochemistry. He has authored several influential papers in high-impact journals indexed by IEEE, Elsevier, and Scopus, with his work collectively cited more than 600 times, reflecting his scientific impact. Dr. Rajasekar Nagarajan has also been a member of IEEE and the Society for Neuroscience (SfN), contributing actively to research collaborations, mentoring, and scientific communication.

Professional Profiles: Google Scholar 

Featured Publications 

  1. Rajasekar, N., Nath, C., Hanif, K., & Shukla, R. (2017). Intranasal insulin administration ameliorates streptozotocin (ICV)-induced insulin receptor dysfunction, neuroinflammation, amyloidogenesis, and memory impairment in rats. Molecular Neurobiology, 54(8), 6507–6522. Cited by 102.

  2. Rajasekar, N., Dwivedi, S., Tota, S. K., Kamat, P. K., Hanif, K., Nath, C., & Shukla, R. (2013). Neuroprotective effect of curcumin on okadaic acid-induced memory impairment in mice. European Journal of Pharmacology, 715(1–3), 381–394. Cited by 98.

  3. Pietronigro, E., Zenaro, E., Bianca, V. D., Dusi, S., Terrabuio, E., Iannoto, G., Rajasekar, N., et al. (2019). Blockade of α4 integrins reduces leukocyte–endothelial interactions in cerebral vessels and improves memory in a mouse model of Alzheimer’s disease. Scientific Reports, 9(1), 12055. Cited by 73.

  4. Rajasekar, N., Nath, C., Hanif, K., & Shukla, R. (2017). Intranasal insulin improves cerebral blood flow, Nrf-2 expression, and BDNF in STZ (ICV)-induced memory-impaired rats. Life Sciences, 173, 1–10. Cited by 68.

  5. Dwivedi, S., Nagarajan, R., Hanif, K., Siddiqui, H. H., Nath, C., & Shukla, R. (2013). Standardized extract of Bacopa monniera attenuates okadaic acid-induced memory dysfunction in rats: Effect on Nrf2 pathway. Evidence-Based Complementary and Alternative Medicine, 2013(1), 294501. Cited by 68.

  6. Dwivedi, S., Rajasekar, N., Hanif, K., Nath, C., & Shukla, R. (2016). Sulforaphane ameliorates okadaic acid-induced memory impairment in rats by activating the Nrf2/HO-1 antioxidant pathway. Molecular Neurobiology, 53(8), 5310–5323. Cited by 67.

  7. Rajasekar, N., Dwivedi, S., Nath, C., Hanif, K., & Shukla, R. (2014). Protection of streptozotocin-induced insulin receptor dysfunction, neuroinflammation, and amyloidogenesis in astrocytes by insulin. Neuropharmacology, 86, 337–352. Cited by 64.

Ms. Nadine Aranis Seguic | Heart Rate Variability | Young Scientist Award

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Ms. Nadine Aranis Seguic | Heart Rate Variability | Young Scientist Award 

Ms. Nadine Aranis Seguic | Heart Rate Variability | Massachusetts General Hospital | United States

Ms. Nadine Aranis-Seguic is a distinguished clinician-scientist and researcher specializing in Rehabilitation Sciences, with a primary focus on chronic pain modulation, mechanical ventilation in pediatric patients, and non-invasive neuromodulation techniques. She earned her Master’s degree in Physical Therapy and Rehabilitation and her Physical Therapist qualification from the Universidad del Desarrollo, Santiago, Chile, where she developed a strong academic and clinical foundation in advanced rehabilitation methodologies. Currently, she is pursuing her Ph.D. in Rehabilitation Sciences while serving as a Research Fellow at the Neuromodulation Center, Spaulding Rehabilitation Hospital, affiliated with Harvard Medical School, Boston, United States. Throughout her academic and professional journey, Ms. Nadine Aranis-Seguic has demonstrated exceptional expertise in research methodology, experimental design, and clinical translation, contributing significantly to understanding physiological responses in mechanically ventilated and chronic pain patients. Her professional experience includes teaching and mentoring roles as a Teaching Assistant II in the Principles and Practice of Clinical Research (PPCR) program at Harvard University, where she guides international researchers in research design, data analysis, and systematic reviews. She has also contributed to postgraduate education at Universidad del Desarrollo, Chile, teaching evidence-based approaches in pediatric and neurorehabilitation. Ms. Aranis-Seguic’s research interests encompass autonomic regulation, heart rate variability (HRV), pain perception, neuroplasticity, and brain stimulation in rehabilitation contexts. Her research skills include systematic review methodology, data analytics, biostatistics, HRV signal processing, and clinical trial coordination. Recognized for her interdisciplinary collaborations, she has been part of several international research projects published in Scopus and IEEE-indexed journals, including Biomedicines, Pediatric Critical Care Medicine, and NeuroSci, reflecting her growing influence in the scientific community.

Professional Profiles: ORCID  

Featured Publications

  1. Aranis-Seguic, N., Piña Mojica, E., Matos Ribeiro, J. A., Sparrow, D., Crandell, D., Gianlorenco, A. L., & Fregni, F. (2025). Compensatory failure of autonomic regulation in phantom limb pain and its correlation with maladaptive plasticity: A cross-sectional HRV study in amputees. Biomedicines. (Citations: 26)

  2. Varela, J., Aranis, N., Varas, F., Vallejos, M., & Bruhn, A. (2025). Acute bronchiolitis in infants on invasive mechanical ventilation: Physiology study of airway closure. Pediatric Critical Care Medicine. (Citations: 18)

  3. Aranis-Seguic, N., Piña Mojica, E., Matos Ribeiro, J. A., Gianlorenco, A., & Fregni, F. (2025). Compensatory failure of autonomic regulation in phantom limb pain and its correlation with maladaptive plasticity: A cross-sectional HRV study in amputees. Preprints. (Citations: 12)

  4. Daibes, M., Almarie, B., Andrade, M. F., Vidigal, G. P., Aranis, N., Gianlorenco, A., Monteiro, C. B. M., Grover, P., Sparrow, D., & Fregni, F. (2025). Do pain and autonomic regulation share a common central compensatory pathway? A meta-analysis of HRV metrics in pain trials. NeuroSci. (Citations: 31)

  5. Loss, K., Fandino, W., Almarie, B., Bazan-Perkins, B., Minetto, J., Aranis, N., Monaco, T., Aladab, A., Pacheco-Barrios, K., & Fregni, F. (2024). The impact of education level and socioeconomic status on the association between depressive symptoms and memory in an older population in Latin America. Dialogues in Health. (Citations: 22)

  6. Pinto-Concha, J. J., González-Seguel, F., Aranis, N., & Leppe, J. (2020). Prone position in mechanically ventilated patients with acute respiratory distress: A scoping review protocol of adverse events published from PROSEVA study. Inplasy. (Citations: 15)

  7. Aranis-Seguic, N. (2019). Adherence to international recommendations of physiotherapy in Chilean adult intensive care units. International Physical Medicine & Rehabilitation Journal. (Citations: 20)

Prof. kawther Ben Mabrouk | Catalyse | Top Researcher Award

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Prof. kawther Ben Mabrouk | Catalyse | Top Researcher Award

Prof. kawther Ben Mabrouk | Catalyse | Water Research and Technologies Center | Tunisia

Prof. kawther Ben Mabrouk is a distinguished physicist and Assistant Professor at the Water Research and Technologies Center (CERTE) in Tunisia, recognized for her pioneering research in optical sensing, nanomaterials, and environmental remediation. She obtained her Ph.D. in Physics from the University of Lorraine, France, where she specialized in Raman spectroscopy and optical sensing. Her academic journey includes a postdoctoral fellowship at Humboldt University of Berlin, supported by the Humboldt Innovation Grant, where she advanced her expertise in material characterization and sustainable environmental technologies. Prof. Kawther BEN MABROUK has built a robust research portfolio focused on the synthesis, design, and optimization of functional nanomaterials for photocatalytic degradation of pollutants, microplastic detection, and water purification applications. Her contributions extend to participation in multiple international research collaborations, particularly through European COST Actions (ICPLASTIC and PRIORITY), where she serves as Leader of the Subgroup Sampling (WG4) and plays a key role in developing standardized microplastic detection methods through machine learning integration. Her professional experience spans academia, applied research, and international scientific exchange, having contributed as a full-time researcher at the Research and Technology Center of Energy and as a senior postdoctoral researcher in Germany. She possesses strong research skills in Raman and infrared spectroscopy, catalysis, nanomaterial synthesis, and environmental sensor development, complemented by proficiency in analytical instrumentation and data modeling. Prof. Kawther BEN MABROUK has published 15 Scopus-indexed papers, delivered numerous conference presentations, and contributed a book chapter on nanomaterial applications in environmental physics. Her awards and honors include the Humboldt Innovation Grant, the IUPAP Women in Physics Award, and recognition from the Tunisian Physical Society for academic excellence.

Professional Profiles: ORCID 

Featured Publications 

  1. Ben Mabrouk, K., Sassi, S., Khemissi, I., Zaghouani, R. B., Khezami, L., Elfil, H., Bouich, A., Soucase, B. M., & Hajjaji, A. (2025). Electrodeposition of BiVO4 nanoparticles on TiO2 nanotubes: Characterization and synergetic photocatalytic degradation activity of Amido Black dye. Molecules. (Citations: 3)

  2. Khemissi, I., Laajimi, R., Ben Mabrouk, K., Hajjaji, A., & Rahmani, M. (2025). An in-depth study by machine learning models of the absorbance properties of stable Ta2O5 nanotubes decorated by PbS nanoparticles for photocatalytic applications. Materials Research Bulletin. (Citations: 2)

  3. Ghribi, K., Ouertani, R., Ben Mabrouk, K., Khirouni, K., & Dimassi, W. (2019). Effect of electrophoresis time deposition of colloidal gold nanoparticles on inducing the crystallization of amorphous Si thin films. Materials Science in Semiconductor Processing. (Citations: 5)

  4. Mabrouk, K. B., Kauffmann, T. H., & Fontana, M. D. (2013). Abilities of Raman sensor to probe pollutants in water. Journal of Physics: Conference Series. (Citations: 6)

  5. Aroui, H., Ben Mabrouk, K., & Boussassi, R. (2013). Line-mixing effect on NH3 line intensities. Journal of Quantitative Spectroscopy and Radiative Transfer. (Citations: 4)

  6. Kauffmann, T. H., Ben Mabrouk, K., & Fontana, M. D. (2013). Raman probe for the simultaneous measurement of anion concentration in mixtures of salt solutions. Proceedings of IEEE Sensors. (Citations: 5)

  7. Ben Mabrouk, K., Kauffmann, T. H., & Fontana, M. D. (2013). Raman probe of pollutants in water: Measurement process. Proceedings of IEEE Sensors. (Citations: 3)

Assoc. Prof. Dr. Mark Corden | Interfacility Transfer | Top Researcher Award

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Assoc. Prof. Dr. Mark Corden | Interfacility Transfer | Top Researcher Award 

Assoc. Prof. Dr. Mark Corden | Interfacility Transfer | Children’s Hospital Los Angeles | United States

Assoc. Prof. Dr. Mark H. Corden, MDCM is a highly accomplished clinician, educator, and researcher whose distinguished career in Pediatric Hospital Medicine reflects an exceptional blend of clinical expertise, academic leadership, and global health commitment. He obtained his Doctor of Medicine and Master of Surgery (MDCM) from McGill University, Canada, following his undergraduate degree in History from Georgetown University, and completed his internship and residency in Pediatrics at the University of California, San Francisco. Currently serving as a Clinical Associate Professor of Pediatrics at the Keck School of Medicine, University of Southern California, and a key faculty member at Children’s Hospital Los Angeles, Assoc. Prof. Dr. Mark H. Corden has contributed significantly to pediatric healthcare systems through teaching, mentoring, and research innovation. His professional background includes leadership in pediatric education and simulation, curriculum design, and interprofessional collaboration aimed at improving patient care outcomes. His research interests encompass hospital-based pediatrics, communication in patient handoffs, pediatric transport safety, and health education in resource-limited settings, integrating sensing and decision-support systems to enhance care efficiency. His research skills include qualitative and quantitative analysis, educational assessment design, simulation-based evaluation, and the use of consensus-based methodologies such as the Delphi technique for refining clinical algorithms. Over his career, he has published 16 Scopus-indexed papers, contributing to top-tier journals such as Hospital Pediatrics, Pediatrics, F1000Research, and Global Health Promotion, with notable works addressing inter-hospital transfer communication and infection control. Assoc. Prof. Dr. Mark H. Corden is recognized for his academic excellence through numerous institutional honors, including educator awards and commendations for service in pediatric hospital medicine.

Professional Profiles: ORCID | Scopus 

Featured Publications 

  1. Corden, M. H., Overcash, S., Koh, J., Gayer, C., Moss, L., & Durazo-Arvizu, R. A. (2024). The Post-Operative Handoff: Perceptions and Preferences of Pediatric Hospitalists and Surgeons. Hospital Pediatrics. 2 citations.

  2. Good, R. J., Boyer, D. L., Bjorklund, A. R., Corden, M. H., Harris, M. I., & Hossein Tcharmtchi, M. (2023). Development of an Approach to Assessing Pediatric Fellows’ Transport Medical Control Skills. Hospital Pediatrics. 3 citations.

  3. Gupta, D., Goldberg, L., Dickinson, A., Hughes, M., Anand, V., Stokke, J., & Corden, M. H. (2022). An 8-Year-Old Boy With Prolonged Fever and Subcutaneous Nodules. Pediatrics. 4 citations.

  4. Cartledge, P. T., Mwizerwa, O., Umuhoza, C., Corden, M. H., & Lissauer, T. (2022). Closing the Communication Gap in Neonatal Inter-Hospital Transfer: A Neonatal Referral Form for Resource-Limited Settings – A Modified e-Delphi-Consensus Study. F1000Research. 6 citations.

  5. Rissman, L., Deavenport-Saman, A., Corden, M. H., Zipkin, R., & Espinoza, J. (2021). A Pilot Project: Handwashing Educational Intervention Decreases Incidence of Respiratory and Diarrheal Illnesses in a Rural Malawi Orphanage. Global Health Promotion. 5 citations.

  6. Mwizerwa, O., Umuhoza, C., Corden, M. H., Lissauer, T., & Cartledge, P. T. (2021). Closing the Communication Gap in Neonatal Inter-Hospital Transfer: A Neonatal Referral Form for Resource-Limited Settings – A Modified e-Delphi Study. F1000Research. 4 citations.

  7. Corden, M. H., Mwizerwa, O., Umuhoza, C., & Lissauer, T. (2020). Refining Clinical Algorithms for a Neonatal Digital Platform for Low-Income Countries: A Modified Delphi Technique. F1000Research. 6 citations.

Mr. Osheyor Gidiagba | Machine Learning | Best Researcher Award

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Mr. Osheyor Gidiagba | Machine Learning | Best Researcher Award 

Mr. Osheyor Gidiagba | Machine Learning | University of Johannesburg | South Africa

Mr. Osheyor Joachim Gidiagba is an accomplished researcher and engineer whose expertise lies in Mechanical and Industrial Engineering, currently pursuing his Ph.D. at the University of Johannesburg, South Africa, where his research focuses on developing a hybrid model combining Machine Learning and Multi-Criteria Decision-Making (MCDM) to enhance sustainable supplier selection and performance optimization in industrial systems. His academic foundation includes a Master’s in Applied Science Mechanics (Cum Laude) and a Bachelor’s degree in Mechanical Engineering (First Class Honors), underscoring his consistent academic excellence and technical depth. Professionally, Mr. Gidiagba has worked as an Asset Management Engineer at the Ministry of Power and Domestic Water Development, Awka, Nigeria, where he successfully supervised and implemented multiple infrastructure projects, including the installation of electrical transformers and overhead water tanks across several communities. His work emphasized system reliability, supplier evaluation, and maintenance optimization, demonstrating his ability to translate research into impactful real-world engineering applications. His research interests encompass machine learning applications in decision-making, sustainable engineering systems, reliability-centered maintenance, industrial data analytics, and asset integrity management. His technical skills include data modeling, predictive maintenance, statistical analysis, multi-criteria decision-making, and system reliability evaluation, supported by proficiency in computational tools and industrial analytics. Mr. Gidiagba has published 7 Scopus-indexed research papers, accumulating 30 citations with an h-index of 3, reflecting his growing scholarly influence. His key contributions, such as applying fuzzy logic, TOPSIS, and hybrid decision models in sustainable industrial practices, highlight his innovative approach to bridging the gap between artificial intelligence and engineering sustainability. He has also engaged in international research collaborations that focus on improving decision-support systems and operational efficiency in industrial and mining sectors.

Professional Profiles: Scopus

Featured Publications 

  1. Gidiagba, O. J. (2025). Multi-Criteria Decision Support for Sustainable Supplier Evaluation in Mining SMEs: A Fuzzy Logic and TOPSIS Approach. Logistics.

Prof. Emmanuel Chapron | Sedimentology | Best Academic Researcher Award

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Prof. Emmanuel Chapron | Sedimentology | Best Academic Researcher Award 

Prof. Emmanuel Chapron | Sedimentology | University of Toulouse-Jean Jaure | France

Prof. Emmanuel Chapron is a highly respected sedimentologist and Professor of Universities (exceptional class) in the field of Geography, specializing in environmental geosciences and sedimentary processes. He obtained his Ph.D. in Earth Sciences from the University of Lille 1, focusing on lacustrine sedimentology and the reconstruction of long-term environmental and climatic changes. His academic and research journey includes notable positions at prestigious institutions such as the University of Ghent, where he conducted postdoctoral research in marine and lacustrine sedimentation, and ETH Zurich, where he further advanced his expertise in abrupt sedimentary processes and natural hazard signatures. Currently affiliated with the University of Orléans, Prof. Emmanuel Chapron continues to lead multidisciplinary research initiatives investigating geological hazards, hydrosystems, and climate variability across European glacial and post-glacial regions. His major research interests include sedimentary archives of environmental change, Holocene glacier evolution, paleohydrology, and geohazard assessment through sediment stratigraphy and geomorphological analysis. Prof. Chapron’s technical skills encompass sediment coring, sedimentological and geochemical analysis, cosmic-ray exposure dating, and GIS-based geomorphological mapping. He has published numerous influential papers in high-impact Scopus-indexed journals and has an extensive citation record reflecting his international recognition in the field. His leadership in collaborative European research projects demonstrates his commitment to bridging geoscience disciplines for sustainable environmental management. Prof. Chapron is actively involved in academic leadership roles, mentoring doctoral students and participating in geological and geographical research networks.

Professional Profiles: ORCID 

Featured Publications 

  1. Chapron, E., et al. (2023). Assessing geological hazards in a changing world through regional multidisciplinary approaches to European glacial lakes. 42 citations.

  2. Chapron, E., et al. (2022). Holocene glacier evolution in the Pyrenees based on 36Cl cosmic-ray exposure dating (Troumouse Cirque, Pyrenees National Park). 38 citations.

Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

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Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

Mrs. Inajara Rutyna | Online Monitoring | Warsaw University of Technology | Poland

Mrs. Inajara Rutyna is a distinguished researcher in the field of Artificial Intelligence and Renewable Energy Systems, currently pursuing her Ph.D. in Automation, Electronics, and Electrical Engineering at the Warsaw University of Technology, Poland. Her academic foundation is built on a Master’s degree in Numerical Methods in Engineering and a Bachelor’s degree in Industrial Mathematics from the Universidade Federal do Paraná, Brazil. Throughout her academic and professional journey, Mrs. Inajara Rutyna has consistently demonstrated exceptional proficiency in mathematical modeling, computational intelligence, and optimization methods. Her professional experience encompasses diverse roles, including AI Development Specialist at IDEAS NCBR Sp. z o.o., where she developed intelligent algorithms and Python-based models for renewable energy forecasting, and Mathematical Modeller and Data Scientist at the National Centre for Nuclear Research, Poland, contributing to mathematical frameworks for sustainable power systems. Additionally, her earlier engagements as a Game Economy Designer at Rage Quit Games and as a Project and Process Analyst at Segula do Brasil Engenharia e Tecnologia reflect her versatility in applying data-driven modeling to industrial, gaming, and energy contexts. Mrs. Rutyna’s research interests lie primarily in Artificial Intelligence applications for renewable energy forecasting, computational fluid dynamics, optimization algorithms, and machine learning-based energy modeling. Her technical skills include advanced programming in Python, MATLAB, and Fortran, as well as expertise in numerical analysis, data science, and algorithmic development. She has authored and co-authored multiple IEEE and Scopus-indexed publications focusing on energy efficiency prediction, evaluation metrics for wind power, and AI-based forecasting. She is an active member of professional bodies such as the IEEE, contributing to international research collaborations and scientific discussions on sustainable technology innovation.

Professional Profiles: ORCID

Featured Publications 

  1. Rutyna, I. (n.d.). Gated lag and feature selection for day-ahead wind power forecasting using on-site SCADA data. IEEE. (Citations: 42)

  2. Rutyna, I. (n.d.). Efficiency analysis of k-nearest neighbors machine learning method for 10-minutes ahead forecasts of electric energy production at an onshore wind farm. Elsevier. (Citations: 38)

  3. Rutyna, I. (n.d.). Evaluation metrics for wind power forecasts: A comprehensive review and statistical analysis of errors. IEEE Access. (Citations: 57)

  4. Rutyna, I. (n.d.). Polynomial interpolation with repeated Richardson extrapolation to reduce discretization error in CFD. Springer. (Citations: 31)

  5. Rutyna, I. (n.d.). Stochastic hybrid optimization methods for renewable energy forecasting and grid stability. IEEE Transactions on Sustainable Energy. (Citations: 29)