Javad Amini Mahabadi | Medicine and Dentistry | Editorial Board Member

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Dr. Javad Amini Mahabadi | Medicine and Dentistry | Editorial Board Member

Javad Amini Mahabadi  | Kashan University of Medical Sciences | Iran

Dr. Javad Amini Mahabadi, a reproductive biologist and faculty member at Kashan University of Medical Sciences, is recognized for his expertise in reproductive biology, IVF, and stem-cell–based approaches to fertility science. He holds advanced degrees culminating in a Ph.D. in Reproductive Biology, with specialized training in assisted reproductive technologies and cellular therapeutics. His professional experience includes leading laboratory initiatives in gamete and embryo research, contributing to multidisciplinary reproductive health projects, mentoring emerging scientists, and supporting institutional development through academic and committee service. Dr. Amini Mahabadi’s research focuses on reproductive physiology, embryo development, and innovative stem-cell applications, reflected in a substantial body of peer-reviewed publications and a strong citation record demonstrating sustained scientific impact. His contributions extend to methodological advancements and collaborative work aimed at improving clinical and translational outcomes in reproductive medicine. He has received institutional and professional recognitions for research excellence, serves in editorial and peer-review roles for respected journals, and maintains active membership in scientific societies that promote reproductive health and biomedical innovation.

Profiles: Google Scholar

Featured Publications

1. Mohammadi, F., Nikzad, H., Taherian, A., Amini Mahabadi, J., & Salehi, M. (2013). Effects of herbal medicine on male infertility. Anatomical Sciences Journal, 10(4), 3–16.

2. Aghaei, S., Nikzad, H., Taghizadeh, M., Tameh, A. A., Taherian, A., & Moravveji, A. (2014). Protective effect of pumpkin seed extract on sperm characteristics, biochemical parameters and epididymal histology in adult male rats treated with cyclophosphamide. Andrologia, 46(8), 927–935.

3. Abazari, M. F., Soleimanifar, F., Aleagha, M. N., Torabinejad, S., Nasiri, N., … (2018). PCL/PVA nanofibrous scaffold improve insulin-producing cells generation from human induced pluripotent stem cells. Gene, 671, 50–57.

4. Abazari, M. F., Soleimanifar, F., Amini Faskhodi, M., Mansour, R. N., … (2020). Improved osteogenic differentiation of human induced pluripotent stem cells cultured on polyvinylidene fluoride/collagen/platelet-rich plasma composite nanofibers. Journal of Cellular Physiology, 235(2), 1155–1164.

5. Tahmasebi, A. T., Enderami, S. E., Saburi, E., Islami, M., … (2019). MicroRNA incorporated electrospun nanofibers improve osteogenic differentiation of human induced pluripotent stem cells. Journal of Biomedical Materials Research, 108(2), 377–386.

Dr. Javad Amini Mahabadi’s work advances reproductive biology and stem-cell–based innovation, contributing to improved fertility outcomes and translational biomedical solutions. His research supports scientific progress, strengthens clinical practices, and fosters technologies that enhance public health and future therapeutic development.

Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

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Mr. Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

Healthcare Data Analyst & Researcher at Children’s Clinic of Michigan, United States

Md Nagib Mahfuz Sunny is an emerging researcher and healthcare data analyst with a strong focus on applying big data analytics, machine learning, and predictive modeling to address critical challenges in the healthcare sector. His academic background in computer science and information science, combined with his practical experience, has enabled him to contribute meaningfully to areas such as clinical decision support, disease diagnosis, fraud detection, and telemedicine. Sunny has authored numerous peer-reviewed publications in respected journals, showcasing his ability to bridge technology and healthcare effectively. His research emphasizes data-driven solutions aimed at improving patient outcomes and reducing healthcare costs. As an IEEE Senior Member, he demonstrates leadership and commitment to innovation in his field. With a forward-looking approach and interdisciplinary mindset, Sunny continues to explore impactful research directions that align with global health and technology trends, making him a promising figure in the realm of healthcare informatics and intelligent systems.

Professional Profile 

Google Scholar

Education

Md Nagib Mahfuz Sunny has a solid educational foundation that integrates both computer science and information science, equipping him with the technical and analytical skills necessary for advanced research in data-driven healthcare solutions. He earned his Master of Science in Information Science from Trine University in the United States, where he focused on data analytics and its applications in healthcare systems. Prior to that, he completed his Bachelor of Science in Computer Science and Technology from Jiangsu University of Science and Technology in China. His academic journey reflects a commitment to international exposure and interdisciplinary learning, which has played a critical role in shaping his understanding of global healthcare challenges and the role of advanced technology in addressing them. Sunny’s academic training has provided him with the theoretical knowledge and practical tools necessary to conduct innovative research at the intersection of artificial intelligence, machine learning, and healthcare informatics.

Experience

Md Nagib Mahfuz Sunny brings diverse and impactful experience as a healthcare data analyst and researcher, with a particular focus on the use of machine learning, predictive modeling, and big data analytics in medical contexts. His professional and academic experience spans developing intelligent systems for clinical decision-making, optimizing healthcare processes, and conducting extensive data-driven research. Sunny has worked on multidisciplinary projects involving IoT-based frameworks for disease detection, AI-powered solutions for prescription optimization, and machine learning techniques for cancer classification and fraud detection. His collaborative work with global research teams and healthcare professionals has contributed to practical innovations and published outcomes in well-regarded scientific journals. He is actively involved in designing research methodologies, data analysis pipelines, and predictive models tailored for real-world healthcare applications. His hands-on experience reflects a strong integration of technical expertise and domain-specific knowledge, positioning him to drive future innovations in health informatics and digital healthcare transformation.

Research Focus

Md Nagib Mahfuz Sunny’s research centers around the application of artificial intelligence, big data analytics, and machine learning in healthcare to enhance clinical decision-making, improve diagnostics, and reduce operational inefficiencies. His core focus areas include predictive healthcare analytics, public health informatics, AI for disease classification, fraud detection in medical systems, and IoT-based health monitoring. Through his published work, he has explored diverse topics such as diabetes diagnosis using intelligent systems, cancer stage classification based on biomarker data, and AI-enhanced drug substitution models aimed at reducing healthcare costs. He is particularly interested in integrating real-time data from healthcare environments with advanced computational models to generate actionable insights for physicians and public health professionals. Sunny’s research consistently emphasizes innovation, real-world applicability, and ethical use of data in healthcare. His contributions reflect a forward-thinking approach to solving modern medical challenges through computational intelligence and interdisciplinary collaboration.

Award and Honor

Md Nagib Mahfuz Sunny has earned recognition for his contributions to healthcare analytics and intelligent systems through multiple peer-reviewed publications and active involvement in professional communities. He holds the distinction of being an IEEE Senior Member, a title that reflects both his technical accomplishments and leadership within the engineering and technology community. His research has been published in esteemed journals and presented at international conferences, highlighting the relevance and impact of his work in the global academic landscape. The quality and applicability of his research, particularly in AI-driven healthcare solutions, have attracted attention from institutions and collaborators worldwide. His interdisciplinary and international academic journey has further contributed to his reputation as a knowledgeable and forward-thinking young scientist. As he continues to build on his work in healthcare data science, his achievements mark him as a strong candidate for future research awards and honors within the field of health informatics and artificial intelligence.

Publications Top Notes

  • Title: Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling
    Authors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J Atayeva
    Year: 2024
    Citations: 38

  • Title: Project Management and Visualization Techniques A Details Study
    Authors: MNM Sunny, MBH Sakil, A Al Nahian
    Year: 2024
    Citations: 23

  • Title: Neural Network-Powered License Plate Recognition System Design
    Authors: S Hasan, MNM Sunny, A Al Nahian, M Yasin
    Year: 2024
    Citations: 18

  • Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes Diagnosis
    Authors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO Faruq
    Year: 2024
    Citations: 4

  • Title: Telemedicine and Remote Healthcare: Bridging the Digital Divide
    Authors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M Amin
    Year: 2024
    Citations: 3

  • Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
    Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
    Year: 2024
    Citations: 3

  • Title: Numerical Analysis of Multivariate Data for Fraud Detection
    Authors: MNM Sunny, KMS Hossain, MM Amin, SN Sadmani
    Year: 2024
    Citations: 2

  • Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning Approach
    Authors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF Refat
    Year: 2024
    Citations: 1

Conclusion

Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.

Waridibo Allison | Health Professions | Innovator of the Year Award

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Dr. Waridibo Allison | Health Professions | Innovator of the Year Award

Professor and Vice President of Health Policy at University of North Texas Health Science Center at Fort Worth, United States

Dr. Waridibo (Wari) E. Allison, MD, PhD, FACP, CPE, FIDSA, is a renowned physician-scientist and health policy leader dedicated to improving health equity through research, clinical innovation, and public policy. With board certifications in Internal Medicine and Infectious Diseases, she blends clinical expertise with a robust background in public health and community medicine. Dr. Allison currently serves as Vice President of Health Policy and Executive Director of the Center for Health Policy at the University of North Texas Health Science Center at Fort Worth. Her career spans over two decades and several continents, having held key academic and leadership roles in the United States, the United Kingdom, and Australia. She is a national leader in HIV care, rural health innovation, and workforce development, often bridging the gap between academic research and practical implementation. Her work focuses on underserved populations and health systems transformation. A dynamic mentor and change-maker, Dr. Allison was recently named a 2024 Finalist for the Presidential Awards for Excellence in Science, Mathematics and Engineering Mentoring—the highest national honor recognizing excellence in STEM mentoring. Her contributions reflect a lifelong commitment to using research and policy to address health disparities and improve care delivery at scale.

Professional Profile

Education

Dr. Allison has an interdisciplinary and global educational background that underpins her distinguished career in medicine, public health, and research. She earned her PhD in Public Health and Community Medicine from The Kirby Institute at the University of New South Wales in Sydney, Australia, in 2009. Her doctoral training provided the foundation for her expertise in health services research, epidemiology, and health policy. Prior to her PhD, she obtained her Bachelor of Medicine and Bachelor of Surgery (MBBS), equivalent to an MD in the United States, from the prestigious Imperial College School of Medicine in London, UK, in 2000. Her academic journey began with a Bachelor of Science in Anatomical Sciences from the University of Dundee in Scotland in 1995. Dr. Allison also pursued advanced clinical training in Internal Medicine and Infectious Diseases through residency and fellowship programs at leading U.S. institutions, including New York Presbyterian Hospital–Weill Cornell and NYU Langone Medical Center. In addition to her medical and research training, she holds a Certified Physician Executive (CPE) credential from the American Association for Physician Leadership and has completed the Media and Medicine Program at Harvard Medical School, which speaks to her ability to merge science communication, leadership, and policy in her work.

Professional Experience

Dr. Allison brings a wealth of leadership experience from academia, clinical practice, and government-funded public health programs. Currently, she holds dual leadership roles as Vice President of Health Policy and Executive Director of the Center for Health Policy at the University of North Texas Health Science Center. She previously served as an Associate Professor and Program Director at the University of Texas Health Science Center at San Antonio, where she led major initiatives like the South Central AIDS Education Training Center and the Extension for Community Healthcare Outcomes (ECHO) Program. Dr. Allison has also worked internationally, including as a Lecturer at the University of New South Wales and as a physician in both Australia and the UK. Her professional trajectory is marked by a strong commitment to advancing healthcare access for underserved populations through evidence-based models and federal grant-funded initiatives. She has managed large-scale, multisite projects, including the national Rural Telementoring Training Center and programs integrating HIV education into clinical training. Her executive acumen and ability to lead complex, multi-million-dollar federal programs distinguish her as an innovator and advocate for systemic health improvements through research-driven policy implementation.

Research Interests

Dr. Allison’s research interests center on public health innovation, infectious disease prevention, and the delivery of equitable healthcare to marginalized and rural populations. Her academic work is grounded in implementation science, epidemiology, and health systems research, with a particular emphasis on translating evidence into scalable interventions. She has a longstanding focus on HIV/AIDS education, training, and care models, demonstrated by her leadership in the national AIDS Education and Training Centers (AETC) Program. She is especially passionate about using telementoring and technology-enabled learning platforms to overcome healthcare workforce shortages and to extend best practices to underserved areas. Her projects often integrate workforce development with access to care initiatives, especially in relation to chronic infectious diseases. Dr. Allison is also a leader in applying research to inform and develop health policy, ensuring that innovations are sustainable and impactful at the systems level. Through her research and service, she aims to reduce disparities in care access, improve clinical outcomes, and empower communities. Her background in both clinical medicine and public health provides a rare combination of skills that allow her to design, evaluate, and scale impactful programs rooted in data and community engagement.

Awards and Honors

Dr. Allison’s excellence in research, leadership, and mentorship has been recognized through numerous prestigious awards and honors. In 2024, she was named a Finalist for the Presidential Awards for Excellence in Science, Mathematics and Engineering Mentoring—an elite national recognition of her contributions to developing underrepresented talent in STEM fields. She was elected a Fellow of the Infectious Disease Society of America in 2021 and a Fellow of the American College of Physicians in 2020, reflecting her clinical expertise and contributions to the field of internal medicine and infectious diseases. She has received accolades for her leadership and service, including the Bexar County Medical Society’s Outstanding Women in Medicine Award in 2019 and UT Health San Antonio’s Community Engagement Hero Award in 2018. Her research excellence was acknowledged early on with awards like the Rising Research Superstar Award and inclusion on the Dean’s List at the University of New South Wales. Dr. Allison has also been competitively selected for leadership development programs, including the AAMC Early Career Women Faculty Seminar. These recognitions highlight her sustained impact on healthcare innovation, mentorship, and community-engaged research.

Conclusion

Dr. Waridibo Allison is an outstanding candidate for the Research for Innovator of the Year Award. Her work demonstrates a rare blend of scientific research, community service, policy innovation, and program development—particularly in the critical areas of HIV care, rural health, and public health education.

While additional emphasis on scholarly outputs and tech innovation detail would enhance her application, her leadership, national impact, and successful translation of research into real-world outcomes make her exceptionally well-suited for this honor.

Publications Top Notes

  • Title: Accessing Care During the COVID-19 Pandemic Using Telemedicine: Perspectives From People With HIV

  • Authors: Waridibo E. Allison, Aro N. Choi, Keito Kawasaki, Anmol Desai, Trisha V. Melhado

  • Journal: Health Promotion Practice

  • Year: 2023

  • DOI: 10.1177/15248399231169925

 

Mario Flores | Computational Biology | Next-Generation Science Trailblazer Award

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Assist Prof Dr. Mario Flores | Computational Biology | Next-Generation Science Trailblazer Award

Biomedical, University of Texas at San Antonio, United States

Profile

Google Scholar

Short Bio

Dr. Mario A. Flores is an Assistant Professor at the University of Texas at San Antonio, specializing in artificial intelligence models for disease phenotype predictions, biomarker identification, and explainable mechanisms. His innovative research integrates various AI techniques to enhance our understanding of disease progression, particularly in oncology.

Education

Dr. Flores holds a Bachelor’s degree in Electronics Engineering from the Metropolitan Autonomous University, a Master’s in Applied Mathematics, and a PhD in Electrical Engineering (Computational Biology) from the University of Texas at San Antonio. He completed his postdoctoral fellowship at the National Center for Biotechnology Information (NCBI), NIH.

Experience

Since 2020, Dr. Flores has served as an Assistant Professor with joint appointments in Electrical and Computer Engineering (ECE) and Biomedical Engineering (BME) at UTSA. His prior roles include NIH Postdoctoral Fellow at NCBI and Research Associate at the Greehey Children’s Cancer Research Institute, showcasing his extensive experience in computational biology and bioinformatics.

Research Interests

Dr. Flores’s research focuses on developing AI tools for disease gene dependence prediction, utilizing spatially resolved transcriptomics, single-cell RNA sequencing, and Electronic Health Records (EHRs) to analyze tumor microenvironments. His work aims to bridge gaps in understanding disease mechanisms and improve patient outcomes through precision medicine.

Awards

Dr. Flores has received numerous awards for his research, including funding from the NIH for projects on neural circuits inhibiting pain, and recognition from the AIM-AHEAD Fellowship program, supporting his efforts to address health disparities in minority populations.

Publications Top Notes

Dr. Flores has authored several impactful publications, including:

New tools for spatial biology transcriptomics & proteomics in immuno-oncology, Immuno-Oncology Insights, 2023.

Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis, Brief in Bioinformatics, 2022.

Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions, Cancers, 2022.