Ipek Atik | Health | Research Excellence Award

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Assoc. Prof. Dr. Ipek Atik | Health | Research Excellence Award

Assoc. Prof. Dr. Ipek Atik | Health | Gaziantep Islam Science and Technology University | Turkey

Health plays a central role in the scientific contributions of Assoc. Prof. Dr. Ipek Atik, whose career spans advanced research in deep learning, machine learning, renewable energy forecasting, medical image analysis, and computational modeling. Assoc. Prof. Dr. Ipek Atik has built a strong academic foundation through her formal education, progressing from engineering studies into specialized research areas involving artificial intelligence applications to health systems, environmental sustainability, and complex data-driven prediction models. Her professional experience includes serving as an academic and researcher at Gaziantep Islam Science and Technology University, where she has contributed extensively to AI-driven classification systems, forecasting methodologies, radiation shielding research, and medical imaging solutions, particularly in pneumonia detection and COVID-19 case prediction—fields where health, technology, and engineering effectively converge. Throughout her career, Assoc. Prof. Dr. Ipek Atik has cultivated broad research interests spanning convolutional neural networks, short-term energy forecasting, satellite image classification, landform analysis, LED technologies, renewable energy systems, and advanced material characterization, demonstrating an interdisciplinary approach that strengthens the health and engineering research ecosystem. Her demonstrated research skills include algorithm development, regression learning, deep learning model optimization, transfer learning, optical systems analysis, neural network-based forecasting, materials computation, and the integration of AI with medical and environmental datasets. These skills are strongly supported by her impactful publication record, which has earned awards and honors through high citation counts, international collaborations, and recognition within journals focused on engineering, energy, radiation sciences, and computational technologies. With over 220 citations, an h-index of 8, and an i10-index of 6, Assoc. Prof. Dr. Ipek Atik has established a meaningful global research presence. Her work on CNN-based classification systems, drone detection enhancement, short-term energy load forecasting, and deep learning–supported medical analysis highlights the significant influence of her studies on public health, technological advancement, and industrial applications. The sustained academic output of Assoc. Prof. Dr. Ipek Atik, combined with her dedication to interdisciplinary innovation, positions her as a leading contributor to modern AI-enabled solutions. In conclusion, Assoc. Prof. Dr. Ipek Atik represents a dynamic and forward-focused researcher whose work consistently bridges health, engineering, and artificial intelligence, contributing valuable insights and technologies that support societal progress, scientific advancement, and long-term sustainable development.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

Atik, I. (2022). Classification of electronic components based on convolutional neural network architecture. 39 citations.
Atik, I. (2022). A new CNN-based method for short-term forecasting of electrical energy consumption in the COVID-19 period: The case of Turkey. 32 citations.
Dinçer, F., Atik, İ., Yılmaz, Ş., & Çıngı, A. (2017). Hidrolik enerjisinden yararlanmada ülkemiz ve gelişmiş ülkelerin mevcut durumlarının analizi. 26 citations.
Atik, I. (2023). CB-YOLOv5: Enhancing drone detection with BottleneckCSP and cross convolution for improved performance. 16 citations.
Tuncel, N., Akkurt, I., Atik, I., Malidarre, R. B., & Sayyed, M. I. (2024). Neutron-gamma shielding properties of chalcogenide glasses. 11 citations.
Atik, I. (2022). Performance comparison of regression learning methods: COVID-19 case prediction for Turkey. 10 citations.

 

 

Noelle Molé Liston | Medicine | Editorial Board Member

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Prof. Noelle Molé Liston | Medicine | Editorial Board Member

Prof. Noelle Molé Liston | Medicine | Professor at New York University | United States

Prof Noelle Molé Liston is a respected female scholar whose academic career reflects deep engagement with social sciences, cultural theory, and interdisciplinary health research, establishing her as a thought-leading voice on the sociopolitical dimensions of medicine, education, and inequality. She completed her Ph.D. from a globally recognized institution, where her early research laid the foundation for her long-term academic trajectory focused on ethnography, gender studies, and the cultural shaping of health systems. Across her professional journey, she has served in teaching, mentoring, and research roles at internationally reputed universities, contributing significantly to both undergraduate and postgraduate academic development. Her professional experience includes designing and teaching advanced courses on social theory, medical anthropology, qualitative inquiry, and the cultural politics of science and technology, positioning her as a multidisciplinary scholar capable of bridging the humanities and health education. Her research interests include medical metaphors, reproductive politics, global health inequalities, cultural narratives within medical training, and the intersection of language, identity, and institutional power. She is particularly known for her work on metaphors in medical education, highlighted in one of her notable Scopus-indexed publications in Social Science & Medicine, which reflects her ability to address systemic inequities through critical scholarship. She possesses strong research skills in ethnography, narrative analysis, qualitative fieldwork, policy interpretation, and interdisciplinary integration, with her work being cited in scholarly discourse across health studies and cultural anthropology. Her academic profile lists multiple Scopus-indexed publications, a verified Scopus ID (57709521300), and international research collaborations demonstrating her active engagement with global academic communities. Prof Noelle Molé Liston has been acknowledged for her contributions through institutional recognitions, invited talks, and participation in global scholarly dialogues centered on social justice and educational reform. Her achievements also include co-authorship networks, editorial contributions, and leadership in thematic research clusters focusing on inequality and health. She continues to expand her research footprint by pursuing projects addressing emerging issues in medical education, social vulnerability, and the cultural shaping of scientific knowledge. With her commitment to advancing equitable, inclusive, and critical approaches to health and society, Prof Noelle Molé Liston remains an influential scholar whose work will continue to shape interdisciplinary discourse, mentor new researchers, and strengthen global academic conversations toward creating more just and culturally responsive health education systems.

Academic Profile: Scopus

Featured Publications:

  1. Molé Liston, N. (2025). From egg & sperm to reconceiving medical education: Why teaching about metaphor is essential to remedy injustice. Social Science & Medicine. Citations: 2