Shelley Schmollgruber l Emergency Nursing | Excellence in Research

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Prof. Shelley Schmollgruber l Emergency Nursing | Excellence in Research

University of the Witwatersrand | South Africa

Shelley Schmollgruber is an Associate Professor in the School of Therapeutics, Faculty of Health Sciences, University of the Witwatersrand. She is an experienced critical care nurse academic with extensive national and international leadership in intensive and critical care nursing. Her work spans clinical practice, education, research, and health policy, with a strong focus on sepsis, evidence-based practice, end-of-life care, and critical care nursing education in low- and middle-income settings. She has served on multiple global and African professional bodies and has received numerous awards for research excellence, publications, and contributions to advancing critical care nursing practice and policy.

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Akiko Morimoto l Data Analysis | Research Excellence Award

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Prof. Akiko Morimoto l Data Analysis | Research Excellence Award

Osaka Metropolitan University | Japan

Prof. Akiko Morimoto is a senior academic leader and researcher in nursing informatics with a doctoral background in health sciences and extensive experience in higher education and research governance. She holds a Ph.D. in Health Sciences and has progressed through lecturer, associate professor, and professor roles, alongside senior university leadership responsibilities. Her research interests center on nursing informatics, nursing data science, evidence-based practice, cardiovascular epidemiology, and health communication. Her research skills include epidemiological analysis, health data analytics, evidence synthesis, program evaluation, and scholarly publishing, with multiple awards and national committee roles underscoring her sustained contributions to nursing science, education innovation, and evidence-based healthcare advancement.

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Featured Publications

Associations of Total Daily Working Hours Encompassing Unpaid Care and Domestic Work with Nonrestorative Sleep and Mental Health

– Social Science & Medicine, 2026
Social Determinants of Health Associated with Underweight among Middle-Aged Japanese Men and Women

– Frontiers of Nursing, 2025 (in press)
Current State of the Experience of Receiving Evidence-Based Practice Education

– NSC Nursing, 4(4), 64–104, 2025
Development and Evaluation of a Clinical Scenario‐Based Education Program

– Japan Journal of Nursing Science, 22(4), 2025
Risk for Physical Inactivity Due to Inadequate Health Literacy

– Frontiers of Nursing, 2025

Adogbeji Victor l Mechanical Engineering | Research Excellence Award

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Dr. Adogbeji Victor l Mechanical Engineering | Research Excellence Award

University of Johannesburg | South Africa

Dr. Adogbeji Victor is a senior urologist and academic clinician with extensive experience in clinical urology, nephro-urology, and medical education. Dr. Adogbeji Victor completed medical training at Niigata University and earned a PhD from Jichi Medical University, followed by progressive academic and leadership roles in university hospitals and major medical centers. His professional experience includes serving as department chief, lecturer, clinical professor, and visiting research fellow in the United States. Dr. Adogbeji Victor’s research interests focus on urological diseases, surgical outcomes, and clinical management, supported by strong skills in urological surgery, clinical research, and teaching. His career reflects sustained academic contribution, hospital leadership, and commitment to advancing urological practice.

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Featured Publications


Experimental Investigation into Heat Transfer and Flow Characteristics of Magnetic Hybrid Nanofluid (Fe₃O₄/TiO₂) in the Turbulent Region
– Applied Thermal Engineering, 2025, 258, 124630

Magnetohydrodynamics of Nanofluid Internal Forced Convection: A Review and Outlook for Practical Applications
– Results in Physics, 2024, 108082

Experimental Investigation of Heat Transfer Enhancement, Thermal Efficiency, and Pressure Drop in Forced Convection of Magnetic Hybrid Nanofluid (Fe₃O₄/TiO₂)
– Case Studies in Thermal Engineering, 2024, 63, 105313

Design, Construction and Performance Evaluation of a Low-Cost Electric Baking Oven
– Innovative Systems Design and Engineering, 2012, 3(11), 38–49
Experimental Investigation and Machine Learning Modeling of the Effects of Hybridization Mixing Ratio, Nanoparticle Type, and Temperature on Thermophysical Properties
– Journal of Thermal Analysis and Calorimetry, 2025

Osama Smettei | Healthcare Data Analysis | Research Excellence Award

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Dr. Osama Smettei | Healthcare Data Analysis | Research Excellence Award

London Health Siences Centre | Canada

Dr. Osama Smettei is a Fellow in Nuclear Cardiology and Cardiac CT at Western University and London Health Sciences Centre, Canada, with extensive expertise in non-invasive cardiac imaging and clinical cardiology. He earned his medical degree from the University of Damascus and holds multiple board certifications, including FRCP, Arab Board of Cardiovascular Diseases, and advanced diplomas in echocardiography, nuclear cardiology, cardiac CT, and MRI. His professional career spans senior consultant and fellowship roles across Canada and Saudi Arabia. Dr. Osama Smettei’s research interests include cardiac imaging, radiation optimization, and preventive cardiology, supported by strong skills in multimodality imaging, registry-based research, and quality improvement. He has authored 49 publications, contributed to PROTECTION VI, received multiple national research awards, and continues to advance patient-centered, evidence-based cardiovascular imaging.

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Featured Publications

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

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Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

Profile : Scopus

Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

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Prof. Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

Peking University People’s Hospital | China

Dr. Min Zhang is an accomplished radiation oncologist and academic leader with comprehensive medical training, including integrated bachelor’s–master’s studies and a Ph.D. in Oncology from Peking University Health Science Center. With extensive experience in thoracic, breast, and bone tumor radiotherapy, she has developed strong expertise in precision treatment planning and AI-assisted dose calculation. As an Associate Chief Physician and Associate Professor at Peking University People’s Hospital, she leads multiple provincial-level research projects focused on synthetic CT–based dose computation and GPU-accelerated Monte Carlo algorithms. Her scholarly contributions include first-author and corresponding-author publications in high-impact SCI journals, book translation work for a major neurosurgery textbook, and several granted patents in radiotherapy devices and positioning systems. She also participates in industry-funded research and actively collaborates with multidisciplinary teams across oncology specialties. Her professional memberships in regional radiation oncology and neuro-oncology committees reflect her engagement in advancing clinical standards and scientific exchange. Recognized for her commitment to innovation and improved patient outcomes, Dr. Zhang continues to contribute significantly to the evolution of evidence-based radiotherapy. Her sustained efforts in research, technological optimization, and clinical practice underscore her dedication to improving cancer treatment efficacy and shaping the future of radiation oncology.

Profile : Orcid

Featured Publications

Zhang, M., Gao, X., Gao, T., Li, H., Sheng, X., Su, M., & Jia, C. (2025). “A retrospective study on Mohs micrographic surgery combined with adjuvant radiotherapy in the treatment of extramammary Paget’s disease: analysis of 87 patients.” Postgraduate Medical Journal.

Zhang, M. “Accuracy study of deep learning-based synthetic CT images for adaptive radiotherapy of pelvic tumors.” Current Radiopharmaceuticals.

Zhang, M. “Co-translator of the radiotherapy-related sections.” In Oxford Textbook of Neurological Surgery (ISBN: 978-7-5659-3071-3).

Abdelouahad Achmamad | Engineering | Best Researcher Award

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Dr. Abdelouahad Achmamad | Engineering | Best Researcher Award

Universite De Mans | France

Dr. Abde Louahad Achmamad is an embedded software engineer and researcher specializing in intelligent systems, AI algorithms, biomedical signal processing, and advanced embedded technologies for electrical, biomedical, and IoT applications. He holds a PhD in Electrical Engineering, complemented by master’s degrees in biomedical engineering and electrical/electronic engineering, supported by earlier qualifications in electromechanics and electronics. His professional experience spans biomedical R&D, embedded system design, AI-based medical diagnostics, MRI segmentation, IoT health monitoring, wearable sensor development, and security applications for STM32 microcontrollers. He has worked with leading institutions and companies across France and Morocco, including STMicroelectronics, Akkodis, Diabtech, Université de Rouen, ENSIAS, and multiple research laboratories. His scientific output includes 102 citations by 95 documents, 16 publications, and an h-index of 6, reflecting contributions in EMG-based diagnostics, phonoangiography, neuromuscular disorder detection, sensor fusion, and few-shot learning for medical imaging. He has also reviewed more than 200 scientific manuscripts for major journals from Springer, Elsevier, and MDPI, demonstrating recognized expertise in signal processing and embedded systems. His research interests include embedded AI, biomedical instrumentation, wearable sensors, IoT-based healthcare, security-focused embedded design, and intelligent diagnostic systems. Dr. Achmamad remains dedicated to advancing high-impact engineering solutions that enhance healthcare, sensing technologies, and intelligent embedded platforms.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Achmamad, A., & Jbari, A. (2020). A comparative study of wavelet families for electromyography signal classification based on discrete wavelet transform. Bulletin of Electrical Engineering and Informatics.

Achmamad, A., Belkhou, A., & Jbari, A. (2020). Fast automatic detection of amyotrophic lateral sclerosis disease based on Euclidean distance metric. In 2020 International Conference on Electrical and Information Technologies .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Classification and diagnosis of myopathy EMG signals using the continuous wavelet transform. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Myopathy detection and classification based on the continuous wavelet transform. Journal of Communications Software and Systems.

Abdelouahad, A., Belkhou, A., Jbari, A., & Bellarbi, L. (2018). Time and frequency parameters of sEMG signal–force relationship. In 2018 International Conference on Optimization and Applications .

Leslie Zimpelman | Data Analysis Innovation | Best Researcher Award

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Dr. Leslie Zimpelman | Data Analysis Innovation | Best Researcher Award

Texas Christian University | United States

Dr. Leslie Zimpelman is an Assistant Professor of Nursing at Texas Christian University, where she has been a faculty member since 2013, advancing through adjunct, instructor, and professional practice roles before her promotion in 2023. She holds a PhD in Nursing with a focus on Innovative Technology in Healthcare and Education from the University of Missouri, along with an MSN in Nursing Informatics from Walden University, a BS in Nursing from TCU, and a BS in Biology from Wake Forest University. With extensive clinical expertise as a Registered Nurse in a Level IV Neonatal Intensive Care Unit at Cook Children’s Medical Center since 2005, she integrates frontline practice with academic leadership. Her certifications include RNC-NIC, BLS Instructor, PALS, and NRP, reflecting her commitment to excellence in neonatal and pediatric care. Dr. Zimpelman’s research interests center on innovative teaching strategies, simulation, nursing informatics, neonatal care, and the integration of technology in healthcare education. She has contributed through funded projects, curriculum development, and interprofessional education initiatives. demonstrating growing impact in nursing research. Recognized with awards for clinical excellence, teaching innovation, and interprofessional leadership, she continues to shape future nurses through her dedication to education, practice, and patient safety.

Profile : Orcid

Featured Publication

” Signal detection for pediatric patient deterioration with nursing students: An explanatory sequential design mixed-methods study “

Peng Wang | Public Health Analytics | Best Research Article Award

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Dr. Peng Wang | Public Health Analytics | Best Research Article Award

Xizang university | China

Dr. Peng Wang is an emerging scholar in the field of plateau health ecology, with a strong academic foundation in forensic medicine and basic medicine. His academic journey demonstrates a steady progression from undergraduate studies to advanced doctoral research, marked by a focus on health challenges unique to high-altitude populations. He has consistently engaged in scientific research, academic exchanges, and collaborative projects, contributing valuable insights into the intersection of medicine, ecology, and machine learning applications in healthcare. Through his publications, participation in symposia, and leadership in talent training programs, Dr. Wang has positioned himself as a promising researcher dedicated to advancing healthcare in plateau regions.

Professional Profile

Scopus

Education

Dr. Wang completed his undergraduate studies in forensic medicine at Henan University of Science and Technology, where he gained a solid grounding in medical science and evidence-based approaches to health-related issues. He further pursued a master’s degree in basic medicine at Tibet University, where his academic focus deepened toward the foundational aspects of medical research. Building on these experiences, he embarked on a doctoral program in plateau health ecology at Tibet University, dedicating his research to understanding the physiological, environmental, and social factors affecting populations living at high altitudes. This educational progression has provided him with multidisciplinary expertise, equipping him to address complex health issues in unique ecological environments.

Experience

Dr. Wang’s academic and professional experiences reflect his active involvement in both research and academic communities. He has participated in significant scholarly gatherings, such as the First and Second Plateau Medicine Symposia at Tibet University, where he contributed to discussions on health and medicine in high-altitude regions. His experience extends beyond attending conferences; he has taken leadership roles in postgraduate and doctoral-level training programs, serving as the first host for the “High-level Talent Training Program.” These initiatives highlight his ability to mentor, guide, and collaborate with fellow researchers and students, fostering an environment of academic growth and innovation.

Research Interest

Dr. Wang’s primary research interests lie at the intersection of plateau health ecology, medical science, and data-driven healthcare solutions. His work emphasizes understanding how high-altitude environments affect human physiology, health risks, and disease prevalence. A notable example is his research on osteoporosis prediction in Tibetan middle-aged and elderly women, where he applied and compared machine learning models to improve diagnostic accuracy. This reflects his growing interest in integrating computational methods with medical research, demonstrating the potential of artificial intelligence to enhance healthcare outcomes in underserved regions. His broader interests include preventive medicine, ecological health, and the development of strategies tailored to the unique challenges faced by populations in plateau regions.

Awards

Throughout his academic journey, Dr. Wang has received multiple scholarships in recognition of his academic excellence and research contributions. These honors from Tibet University reflect not only his strong performance but also his dedication to advancing knowledge in health sciences. His recognition underscores the value of his contributions and affirms his commitment to rigorous academic pursuits and innovative research. Such achievements serve as milestones that highlight his growing impact within the medical and scientific community.

Publications

Wang, P. (2025). “Comparing Machine Learning Models for Osteoporosis Prediction in Tibetan Middle-Aged and Elderly Women.” Scientific Reports, 15(1), 10960.

Wang, P., et al. (2025). “Influencing Factors on Bone Mass Abnormalities in Tibetan Adult Females from a Socioeconomic Perspective.” BMC Women’s Health.

Conclusion

Dr. Peng Wang exemplifies the qualities of a dedicated researcher and academic professional with a focus on plateau health ecology and medical research. His educational background, spanning forensic medicine, basic medicine, and specialized doctoral training, has equipped him with a comprehensive perspective on health sciences. Through his scholarly publications, active participation in academic symposia, leadership in training programs, and recognition through awards, he has demonstrated both academic excellence and a commitment to addressing pressing healthcare issues in high-altitude populations. His research, particularly the integration of machine learning in medical prediction models, reflects a forward-looking vision that combines traditional health science with modern computational approaches. With a strong foundation and growing expertise, Dr. Wang continues to make meaningful contributions to the advancement of health research and medical innovation in challenging ecological contexts.

Amohelang Lehloa | Public Health Analytics | Best Researcher Award

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Ms. Amohelang Lehloa | Public Health Analytics | Best Researcher Award

University of Cape Town | Lesotho

Ms. Amohelang Lehloa is a dedicated Registered Audiologist and Public Health professional with expertise in audiological rehabilitation, hearing technology, adult education, and evidence-based practice. She has built her career around advancing hearing healthcare, supporting community health initiatives, and contributing to impactful research in audiology and public health. Her clinical and academic journey reflects a strong commitment to patient-centered care, strategic project management, and multidisciplinary collaboration. Fluent in Sesotho and English, she integrates her skills in clinical audiology, supervision, and public health education to foster sustainable healthcare solutions and improve therapeutic outcomes for diverse populations.

Professional Profile

Orcid

Education

Ms. Lehloa holds a Master’s degree in Public Health with a specialization in Epidemiology from the University of Cape Town, complemented by an Honours degree in Audiology from the same institution. Her educational background equips her with a robust understanding of both the clinical and epidemiological aspects of healthcare, enabling her to bridge the gap between individual patient care and population health strategies. Additionally, she has pursued international education, which has broadened her perspective on global health challenges and innovations in audiological science.

Experience

Her professional experience spans clinical practice, academic teaching, research coordination, and project management. As a Clinical Audiologist at HearSense, she performs comprehensive hearing assessments, hearing aid fittings, vestibular and tinnitus management, and aural rehabilitation while actively engaging in public health outreach programs. Previously, she served as Project Manager for the International Epidemiology Databases to Evaluate AIDS (IeDEA), where she managed research collaborations, regulatory compliance, stakeholder engagement, and data-driven project reporting across international institutions. She also contributed to academia as a Public Health Lecturer and Audiology Tutor at the University of Cape Town, supervising clinical students and developing curriculum content to enhance future professionals’ competencies. Furthermore, her early leadership as Head of SHAWCO Audiology in a student-led non-profit organization underscores her dedication to serving underserved communities through early hearing loss detection, intervention, and awareness campaigns.

Research Interest

Ms. Lehloa’s research interests include comorbidities affecting pregnant women living with HIV, high-frequency audiometry in children, and the integration of public health strategies into audiological care. Her work explores the intersection of communicable and non-communicable diseases in maternal health, the diagnostic value of high-frequency hearing assessments, and patient and public involvement (PPI) in research design and implementation. She has participated in international working groups such as the Forgaty-IeDEA mentorship program and has presented her findings at global platforms, including the CROI conference in Denver, Colorado, USA. Her research activities emphasize improving health outcomes through evidence-based approaches and collaborative data analysis.

Awards

Throughout her academic and professional journey, Ms. Lehloa has been recognized for her excellence and leadership. She is a recipient of the Mastercard Foundation Scholarship, awarded to outstanding young scholars from Sub-Saharan Africa, and has been listed on the Faculty of Health Science Dean’s Merit List at the University of Cape Town. Additionally, her membership in the Golden Key Honour Society reflects her commitment to academic achievement, professional growth, and community service. These accolades highlight her dedication to advancing both clinical practice and public health research.

Publication

Lehloa, A.J., Kalk, E., Davies, M.-A., Nyemba, D., Mehta, U., Malaba, T., Petro, G., Boulle, A., Myer, L., Madlala, H.P. (2025). “Comorbidities in Pregnant South African Women Living with HIV and Associations with Adverse Birth Outcomes: A Prospective Cohort Study.” BMC Pregnancy and Childbirth.

Conclusion

Ms. Amohelang Lehloa exemplifies the integration of clinical expertise, public health knowledge, and academic leadership to address hearing health and broader epidemiological challenges. Her career reflects a balance of hands-on patient care, educational mentorship, research innovation, and international collaboration. With strong skills in audiological assessment, rehabilitation, hearing aid technology, strategic project management, and public health advocacy, she continues to contribute to the development of inclusive and sustainable health systems. Her work not only improves individual patient outcomes but also advances the field of audiology within a public health framework, creating meaningful impact across communities.