Tayebeh Roghani | Non-Communicable Diseases | Editorial Board Member

Assist. Prof. Dr. Tayebeh Roghani | Non-Communicable Diseases | Editorial Board Member

Assistant Professor | Isfahan University of Medical Sciences | Iran

Assist. Prof. Dr. Tayebeh Roghanii is an accomplished researcher at the Isfahan University of Medical Sciences whose work has contributed significantly to advancing biomedical and public health knowledge. With a portfolio of 15 peer-reviewed publications and over 236 citations across 216 citing documents, she has established a strong scholarly presence marked by methodological rigor and interdisciplinary depth. Her research spans critical areas of medical science, reflecting a sustained commitment to improving clinical outcomes and informing evidence-based practice. Through collaborations with more than 40 co-authors, she has engaged in diverse scientific networks, enriching her work with multidisciplinary insights and contributing to broader scientific discourse. Her h-index of 7 underscores both the productivity and influence of her scholarship within the global research community. Roghani’s contributions demonstrate a focus on generating impactful evidence that supports better decision-making in healthcare systems, enhances disease understanding, and addresses emerging medical challenges. Her scientific output also reflects a dedication to mentoring and collaborative teamwork, reinforcing the importance of shared expertise in advancing health research. As her work continues to gain recognition, she stands out as a committed academic whose research provides meaningful societal value by informing clinical guidelines, shaping public health strategies, and strengthening the scientific foundation necessary for improving patient care and population health outcomes.

Profiles: ORCID | Scopus

Featured Publications

1. Ghomash Baf Zadeh, R., Roghani, T., Gladin, A., Katzman, W. B., Bokaee, F., & Adibi, P. (2025). Spinal‐Related Musculoskeletal Determinants of Functional Abdominal Bloating and Distension: A Narrative Review. Health Science Reports, 8(7).  Cited by 23.

2. Roghani, T., Allen, D. D., Gladin, A., Rahimi, A., Mehrabi, M., Rezaeian, Z. S., Farajzadegan, Z., & Katzman, W. B. (2024). The association between physical function and hyperkyphosis in older females: A systematic review and meta-analysis. Journal of Geriatric Physical Therapy, 47(2), 85-96.  Cited by 11.

3. Roghani, T., Gladin, A., Talebian, S., Khalkhali Zavieh, M., Niknam, H., & Katzman, W. B. (2022). Sagittal spinal mobility and back extensor muscle function in older females with age-related hyperkyphosis. Journal of Modern Rehabilitation, 16(2). https://doi.org/10.18502/jmr.v16i2.9306. — Cited by 1.

4. Mahmoodiaghdam, S., Nodehi, M., Aryanfar, H., Roghani, T., Baghban, A. A., & Khalkhali Zavieh, M. (2024). Investigating the difference between thoracic kyphosis and its mobility in community-dwelling older men and women. Journal of Modern Rehabilitation, 18(3), 310-316.

Assist. Prof. Dr. Tayebeh Roghani advances scientific understanding of musculoskeletal health, aging, and rehabilitation through evidence-based research and interdisciplinary collaboration. Her work strengthens clinical practice by generating insights that enhance functional outcomes and quality of life for diverse patient populations. She envisions a future where accessible, data-driven rehabilitation strategies improve global well-being.

LI Ruixiang | Epidemiology | Editorial Board Member

Mrs. LI Ruixiang | Epidemiology | Editorial Board Member

Professor | Affiliated Hospital of Shandong Second Medical University | China

Mrs. Li Ruixiang is an emerging researcher whose work advances maternal–child health, neonatal nutrition, and early-life growth assessment through rigorous quantitative and engineering-informed methodologies. Her scholarship includes key contributions to understanding threshold effects of third-trimester maternal vitamin A status on neonatal ponderal index, published in Food Science & Nutrition, and the development of computer-assisted methods for evaluating early physical linear growth among small-for-gestational-age infants, featured in the Journal of Healthcare Engineering. These studies demonstrate her ability to integrate biomedical knowledge with advanced analytical approaches, generating evidence that supports more precise assessment of neonatal growth patterns and micronutrient-related developmental outcomes. Mrs. Li’s collaborative work with multidisciplinary teams—comprising nutritionists, paediatric clinicians, biomedical engineers, and public health experts—reflects her commitment to methodological innovation and translational research. Although still in the early stages of her academic career, she has contributed to a growing body of literature that strengthens global understanding of neonatal anthropometry, maternal nutrition, and data-driven modelling in child health. Her findings help inform clinical decision-making, contribute to improved detection of growth abnormalities, and support public health policies aimed at reducing early-life vulnerabilities. Through her focused research agenda and evidence-based analyses, Mrs. Li Ruixiang continues to build a research profile with meaningful societal relevance and potential for long-term impact on maternal and neonatal wellbeing.

Profiles: ORCID

Featured Publications

1. Ji, J., Cui, L., Ni, J., & Li, R. (2025). Threshold Effects of Third-Trimester Maternal Vitamin A on Neonatal Ponderal Index: A Segmented Regression Analysis of 442 Mother–Infant Pairs. Food Science & Nutrition.

2. Li, R., Yin, M., Cui, L., Zheng, R., & Malik Alazzam. (2021). Early Physical Linear Growth of Small-for-Gestational-Age Infants Based on Computer Analysis Method. Journal of Healthcare Engineering. Citations: 4

Through innovative analytical methods and population-level studies, the nominee illuminates critical nutritional thresholds that influence infant development. Their work strengthens scientific understanding and guides public health strategies that enhance early-life health across diverse communities.

Monica Bhutani | Public Health | Editorial Board Member

Dr. Monica Bhutani | Public Health | Editorial Board Member

Associate Professor | Bharati Vidyapeeth’s College of Engineering | India

Dr. Monica Bhutani is a distinguished researcher and academician at Bharati Vidyapeeth’s College of Engineering, New Delhi, India, recognized for her extensive contributions to computer science, information technology, and interdisciplinary innovations in artificial intelligence (AI), Internet of Things (IoT), and secure computing. With over 52 publications and 108 citations across 77 documents, her research demonstrates a strong commitment to advancing digital intelligence frameworks, data security architectures, and sustainable technological systems. Her recent works, including studies on AI-IoT convergence for sustainable agriculture, information dissemination networks, and secure image encryption using optimized chaotic sequences, highlight her focus on developing smart, energy-efficient, and cyber-resilient systems that address modern digital and environmental challenges. Dr. Bhutani’s scholarly collaborations with over 140 co-authors worldwide reflect her global engagement and interdisciplinary outlook, fostering impactful research networks across academia and industry. Her authorship of the book “Development and Management of Eco-Conscious IoT Medical Devices” further underscores her vision for integrating technology with environmental and healthcare sustainability. With an h-index of 6, she has consistently contributed to the global dialogue on intelligent systems design, information security, and digital transformation. Dr. Bhutani’s academic and research pursuits exemplify excellence in engineering education and innovation, bridging scientific theory with practical solutions that enhance societal well-being through technology-driven sustainability, secure communication systems, and data-driven decision-making.

Featured Publications

1. Bhutani, M., Lall, B., & Agrawal, M. (2022). Optical wireless communications: Research challenges for MAC layer. IEEE Access, 10, 126969–126989. Cited by: 30

2. Goyal, R., Elawadhi, O., Sharma, A., Bhutani, M., & Jain, A. (2024). Cloud-connected central unit for traffic control: Interfacing sensing units and centralized control for efficient traffic management. International Journal of Information Technology, 16(2), 841–851. Cited by: 18

3. Bhutani, M., Lall, B., & Dixit, A. (2021). MAC layer performance modelling for IEEE 802.15.7 based on discrete-time Markov chain. IET Communications, 15(14), 1883–1896. Cited by: 14

4. Dr. Karthick Ganesan, D. M. B., Radhakrishnan, K., Manohar, K., & Bhutani, M. (2024). Automated dairy cow health monitoring and milking machine. US Patent 6,382,814. Cited by: 13*

5. Bhutani, M., Lall, B., & Agrawal, M. (2023). A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks. Peer-to-Peer Networking and Applications, 16(6), 3021–3031. Cited by: 10