Nur Adibah Mohidem | Environmental Health | Best Paper Award

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Dr. Nur Adibah Mohidem | Environmental Health | Best Paper Award

Lecturer at Universiti Sains Islam Malaysia | Malaysia

Dr. Nur Adibah Binti Mohidem is a dedicated academic and researcher specializing in environmental health, public health, and geospatial modeling. With advanced qualifications in Environmental Science and a PhD in Environmental Health, her work focuses on critical areas such as tuberculosis prediction, air pollution, climate change, and infectious diseases. She has contributed significantly through publications in reputable journals, including Q1 and Q2 indexed platforms, and has taken active roles as principal investigator and co-researcher in impactful research projects. Her interdisciplinary approach integrates environmental sciences, medical health, and Islamic perspectives, showcasing originality and a holistic vision. Beyond research, she is actively involved in teaching at Universiti Sains Islam Malaysia, supervising postgraduate students, and contributing to curriculum development in medicine and health sciences. Her achievements highlight not only her scholarly depth but also her commitment to applying research outcomes for societal benefit, positioning her as a promising scholar with potential for wider international recognition.

Professional Profile 

Google Scholar | Scopus Profile

Education

Dr. Nur Adibah Binti Mohidem pursued her entire academic journey at Universiti Putra Malaysia, building a strong foundation in environmental sciences and health. She earned her Bachelor of Environmental Science and Technology with a research project focusing on land use and land cover change in Putrajaya. She then completed her Master of Environment, majoring in Environmental Science, where her dissertation examined bacterial decolorization of dye from batik industry effluent. Furthering her expertise, she obtained her PhD in Environmental Health, specializing in air pollution, weather, geographic information systems, and machine learning applications. Her doctoral thesis developed a geospatial model for predicting tuberculosis in Malaysia, reflecting her innovative use of spatial technologies in health research. Throughout her academic path, she gained both theoretical knowledge and applied research experience, equipping her with interdisciplinary expertise that bridges environmental and health sciences. This strong educational background has been pivotal in shaping her contributions to academia and public health research.

Experience

Dr. Nur Adibah has accumulated diverse academic and research experience across teaching, supervision, and scholarly projects. She began her career as a teaching assistant in environmental and occupational health courses at Universiti Putra Malaysia, where she supported undergraduate learning in environmental health, toxic substance safety, and health impact management. Later, she worked as a researcher in agricultural technology, contributing to teaching Geographic Information System applications for modern agriculture and precision farming. Currently, she serves as a lecturer at Universiti Sains Islam Malaysia in the Department of Primary Health Care, where she coordinates and teaches courses in community health, research methodology, and data analysis for both undergraduate and postgraduate students. She also supervises postgraduate students, guiding research on tuberculosis and public health issues. Her career reflects a steady growth from assistant roles to leadership in teaching and research, underlining her dedication to advancing knowledge and shaping future medical and health professionals.

Research Focus

Dr. Nur Adibah’s research focuses on the intersection of environmental health, epidemiology, and technology, particularly the use of spatial and predictive modeling to address pressing public health challenges. Her doctoral research pioneered a geospatial model for predicting tuberculosis, integrating sociodemographic, meteorological, and air pollutant data to better understand disease patterns. Beyond tuberculosis, her work extends to the impacts of climate change, air pollution, and environmental exposure on infectious and non-communicable diseases. She has also explored agricultural applications of remote sensing and machine learning, such as crop monitoring through spectral and aerial imagery. More recently, her research incorporates Islamic perspectives in public health, particularly in infection control and health awareness. This interdisciplinary approach reflects her commitment to bridging environmental, technological, and cultural dimensions of health. Her ongoing projects and publications demonstrate an emphasis on producing knowledge that is both scientifically rigorous and socially relevant, with potential to inform public health policy.

Award and Honor

Dr. Nur Adibah’s academic journey is marked by recognition for both her scholarly excellence and her contributions to research. Early in her career, she was acknowledged as the best student for her undergraduate thesis, reflecting her outstanding analytical and research abilities. Her doctoral work on tuberculosis prediction modeling further positioned her as an innovative researcher, contributing to national health priorities in Malaysia. In addition to personal academic recognition, her role as principal investigator and co-researcher in funded projects highlights the trust placed in her ability to lead and collaborate in impactful research. She has also guided postgraduate students to successful completion, which underscores her effectiveness as a mentor and academic leader. While many of her current publications and projects are under review in prestigious journals, their acceptance and impact are expected to further enhance her recognition. These honors collectively signify her growing reputation as a committed and capable scholar in public health.

Publication Top Notes

  • Title: How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
    Authors: NA Mohidem, NN Che’Ya, AS Juraimi, WF Fazlil Ilahi, MH Mohd Roslim, …
    Year: 2021
    Citations: 53

  • Title: Integrating environment with health: an Islamic perspective
    Authors: NA Mohidem, Z Hashim
    Year: 2023
    Citations: 52

  • Title: Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia
    Authors: RS NA Mohidem, M Osman, Z Hashim, FM Muharam, SM Elias
    Year: 2021
    Citations: 45

  • Title: Mobile Computing for Pest and Disease Management Using Spectral Signature Analysis: A Review
    Authors: WFFINM Nik Norasma Che’Ya, Nur Adibah Mohidem, Nor Athirah Roslin …
    Year: 2022
    Citations: 39

  • Title: Demographic, socio-economic and behavior as risk factors of tuberculosis in Malaysia: a systematic review of the literature
    Authors: NA Mohidem, Z Hashim, M Osman, R Shaharudin, FM Muharam, …
    Year: 2018
    Citations: 27

  • Title: Environment as the risk factor for tuberculosis in Malaysia: a systematic review of the literature
    Authors: NA Mohidem, Z Hashim, M Osman, FM Muharam, SM Elias, …
    Year: 2021
    Citations: 19

  • Title: Prediction of tuberculosis cases based on sociodemographic and environmental factors in Gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and …
    Authors: NA Mohidem, M Osman, FM Muharam, SM Elias, R Shaharudin, …
    Year: 2021
    Citations: 8

  • Title: Application of multispectral UAV for paddy growth monitoring in Jitra, Kedah, Malaysia
    Authors: NA Mohidem, S Jaafar, R Rosle, NN Che’Ya, JA Shah, WFF Ilahi, …
    Year: 2022
    Citations: 3

  • Title: Development of a web-geographical information system application for plotting tuberculosis cases
    Authors: NA Mohidem, M Osman, MM Farrah, R Shaharudin, Z Hashim
    Year: 2021
    Citations: 3

  • Title: Development of the automated fertigation system using mobile apps
    Authors: NA Mohidem, FA Nawi, NN Che’Ya, WFF Ilahi
    Year: 2021
    Citations: 3

  • Title: Spatial analysis of identifying the association between risk factors and tuberculosis cases: A Review
    Authors: NA Mohidem, M Osman, Z Hashim, FM Muharam, SM Elias, A Ma’pol
    Year: 2025
    Citations: 2

  • Title: Mobile application devices for MATAG coconut variety detection based on spectral signature analysis: A review
    Authors: NN Che’Ya, NA Mohidem, Z Tarmidi, MSA Sarifudin, JA Shah
    Year: 2022
    Citations: 2

  • Title: Crop growth monitoring using geotagged technique derived from aerial imagery and vegetation indices algorithm: A review
    Authors: NA Mohidem, MI Ab Rahman, NN Che’Ya, WFF Ilahi, MAS Zamri
    Year: 2021
    Citations: 2

  • Title: Association between neighbourhood food environment and dietary quality among adolescents in Kuala Lumpur, Malaysia
    Authors: NZ Nurfarhana Norddin, Nik Norasma Che’Ya, Nur Adibah Mohidem
    Year: 2025
    Citations: 1

  • Title: Mobile application and geospatial technology in urban farming
    Authors: NN Che’Ya, WNZZ Abdullah, SNA Roslan, NA Mohidem, N Ariffin, …
    Year: 2024
    Citations: 1

Conclusion

The publication record of Dr. Nur Adibah Binti Mohidem reflects a well-rounded and impactful research trajectory, spanning environmental health, tuberculosis epidemiology, agricultural applications of remote sensing, and interdisciplinary health perspectives. Her most cited works highlight strong contributions to both environmental health and agricultural technology, underscoring her ability to address critical societal challenges through innovative approaches. The consistent flow of publications in Scopus and Q1–Q2 indexed journals demonstrates her scholarly credibility and international recognition. While some of her newer works are still building citation strength, they show promising directions in digital health applications, geospatial modeling, and community health studies. Overall, her publications position her as a productive and versatile researcher whose work bridges science, technology, and health, with clear potential for wider global impact.

Carolin C. Hack | Medicine and Dentistry | Best Scholar Award

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Dr. Carolin C. Hack | Medicine and Dentistry | Best Scholar Award

Deputy clinical director at Erlangen University Hospital Women’s Clinic, Germany

Priv.-Doz. Dr. med. Carolin Christine Hack is an accomplished medical professional and the Deputy Director of the Women’s Clinic at the University Hospital Erlangen. With a specialization in gynecological oncology and integrative medicine, Dr. Hack combines her clinical expertise with a passion for patient-centered care. Her innovative approach to medicine, along with her extensive training and research, positions her as a leading figure in her field.

Profile

Scopus

Education 🎓

Dr. Hack completed her medical degree at Friedrich-Alexander University Erlangen-Nuremberg, where she also pursued her habilitation in “Integrative Medicine in the Treatment of Gynecological Oncology Patients.” Her academic journey included a comprehensive curriculum that laid the groundwork for her clinical and research interests, ultimately leading to a robust foundation in both conventional and integrative medicine.

Experience 💼

With over a decade of experience at the University Hospital Erlangen, Dr. Hack has advanced through various roles, from assistant physician to Deputy Director of the Women’s Clinic. She has managed quality assurance initiatives and specialized in integrative medicine, focusing on the intersection of traditional and complementary therapies in patient care. Her leadership in the clinic has fostered a collaborative environment that emphasizes innovative treatment methodologies.

Research Interests 🔍

Dr. Hack’s research primarily focuses on integrative medicine and complementary therapy methods, with a specific emphasis on mammographic density as a risk factor for breast cancer. Her work seeks to enhance patient outcomes through evidence-based practices that incorporate holistic approaches to treatment.

Awards 🏆

Dr. Hack’s contributions to gynecological oncology have been recognized with multiple awards, including:

  • 2015: Klaus-Dieter-Schulz-Versorgungsforschungspreis
  • 2016: First Science Award from the German Society for Senology
  • 2018: Award from the Foundation for Women and Child Health
  • 2022: Research Award for Complementary Medicine from NATUM e.V.

Publications 📚

Dr. Hack has an extensive publication record, including:

  • The impact of physical activity on progression-free and overall survival in metastatic breast cancer based on molecular subtype
    • Authors: Ziegler, P., Hartkopf, A.D., Wallwiener, M., Schneeweiss, A., Goossens, C.
    • Journal: BMC Cancer
    • Year: 2024
    • Volume: 24(1), Article 1284
  • Tumor-Associated Neutrophils Are a Negative Prognostic Factor in Early Luminal Breast Cancers Lacking Immunosuppressive Macrophage Recruitment
    • Authors: Schmidt, E., Distel, L., Erber, R., Fietkau, R., Schnellhardt, S.
    • Journal: Cancers
    • Year: 2024
    • Volume: 16(18), Article 3160
  • Prognostic impact of selection criteria of current adjuvant endocrine therapy trials NATALEE and monarchE in postmenopausal HRpos/HER2neg breast cancer patients treated with upfront letrozole
    • Authors: Fasching, P.A., Hack, C.C., Nabieva, N., Fehm, T.N., Häberle, L.
    • Journal: European Journal of Cancer
    • Year: 2024
    • Volume: 209, Article 114239
  • Correlation of RANK and RANKL with mammographic density in primary breast cancer patients
    • Authors: Wunderle, M., Heindl, F., Behrens, A.S., Fasching, P.A., Emons, J.
    • Journal: Archives of Gynecology and Obstetrics
    • Year: 2024
    • Volume: 310(2), pp. 1223–1233
  • CDK4/6 Inhibition – Therapy Sequences and the Quest to Find the Best Biomarkers – An Overview of Current Programs
    • Authors: Schneeweiss, A., Brucker, S.Y., Huebner, H., Fehm, T.N., Fasching, P.A.
    • Journal: Geburtshilfe und Frauenheilkunde
    • Year: 2024
    • Volume: 84(5), pp. 443–458
  • Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging?
    • Authors: Dietzel, M., Laun, F.B., Heiß, R., Uder, M., Ohlmeyer, S.
    • Journal: European Journal of Radiology
    • Year: 2024
    • Volume: 173, Article 111352
  • Unbiased high-dimensional flow cytometry identified NK and DC immune cell signature in Luminal A-type and triple negative breast cancer
    • Authors: Heger, L., Heidkamp, G.F., Amon, L., Beckmann, M.W., Dudziak, D.
    • Journal: OncoImmunology
    • Year: 2024
    • Volume: 13(1), Article 2296713
  • Predicting mammographic density with linear ultrasound transducers
    • Authors: Behrens, A., Fasching, P.A., Schwenke, E., Beckmann, M.W., Emons, J.
    • Journal: European Journal of Medical Research
    • Year: 2023
    • Volume: 28(1), Article 384
  • Evaluation of automated techniques for extraction of circulating cell-free DNA for implementation in standardized high-throughput workflows
    • Authors: Lehle, S., Emons, J., Hack, C.C., Ruebner, M., Huebner, H.
    • Journal: Scientific Reports
    • Year: 2023
    • Volume: 13(1), Article 373
  • Long-term Follow-up and Safety of Patients after an Upfront Therapy with Letrozole for Early Breast Cancer in Routine Clinical Care – The PreFace Study
    • Authors: Hack, C.C., Maass, N., Aktas, B., Hein, A., Fasching, P.A.
    • Journal: Geburtshilfe und Frauenheilkunde
    • Year: 2023
    • Volume: 84(2), pp. 185–195

Conclusion ✨

Priv.-Doz. Dr. med. Carolin Christine Hack is an exemplary candidate for the Best Researcher Award. Her innovative contributions to integrative medicine and gynecological oncology, coupled with her extensive publication record and commitment to patient care, position her as a leader in her field. By addressing areas for improvement, such as interdisciplinary collaboration and public engagement, Dr. Hack can further enhance her impact in research and continue to advance the frontiers of medical knowledge.

Shahab Reaeian | Prevention | Best Researcher Award

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Assoc Prof Dr. Shahab Reaeian | Prevention | Best Researcher Award

Academic member, Kermanshah University of Medical Sciences, Iran

Dr. Shahab Rezaeian is an esteemed epidemiologist from Iran, specializing in public health and epidemiology. With a PhD from Shiraz University of Medical Sciences, he has dedicated his career to understanding the dynamics of diseases and their impact on communities. He is currently a faculty member at Kermanshah University of Medical Sciences, contributing to the field through both research and education. 🩺📚

Publication Profile

Google scholar

Education

Dr. Rezaeian earned his B.S. in Public Health from Iran University of Medical Sciences in 2007, followed by an MSc in Epidemiology from Hamadan University of Medical Sciences in 2012. He completed his PhD in Epidemiology at Shiraz University of Medical Sciences in 2016, focusing his research on the survival trends and blood demand of beta-thalassemia patients. 🎓

Experience

Dr. Rezaeian has extensive experience in epidemiological research, particularly in assessing the risk factors for various health conditions, including congenital hypothyroidism and HIV. His professional journey reflects a commitment to advancing public health through rigorous data analysis and interpretation. 💼

Research Focus

His primary research interests include epidemiological modeling, public health interventions, and the study of congenital conditions. Dr. Rezaeian aims to contribute to effective health policies and practices by analyzing health data and identifying key determinants of health outcomes. 🔬📈

Awards and Honours

Dr. Rezaeian has received several accolades for his contributions to epidemiology and public health, including recognition for his impactful research publications and involvement in various health initiatives. His work continues to inspire future generations of health professionals. 🏆

Publication Top Notes

Dr. Rezaeian has authored numerous significant publications in reputable journals, contributing to the scientific community’s understanding of epidemiology and public health. Some notable works include:

Influenza A (H1N1) in Hamedan Province, Western Iran in 2009: A Case-Control Study (2010, J Res Health Sci) – Cited by 30

Quality of Cohort Studies Reporting Post the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement (2011, Epidemiology and Health) – Cited by 50

The Quality of the Reporting of Randomized Controlled Trials after CONSORT Statement in the Prestigious Journals (2013, Shiraz E Medical Journal) – Cited by 40

Difference in the Incidence of Congenital Hypothyroidism Among World Countries (2013, Ann Saudi Med) – Cited by 20

Social Determinants of Health Associated with Self-Reported HIV Testing Among Women (2013, Iran J Public Health) – Cited by 35

Risk Factors of Congenital Hypothyroidism Using Propensity Score: A Matched Case-Control Study (2013, J Res Health Sci) – Cited by 25

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.