Assist. Prof. Dr. Yuchae Jung | Generative AI | Distinguished Scientist Award

Assist. Prof. Dr. Yuchae Jung | Generative AI | Distinguished Scientist Award

Assist. Prof. Dr. Yuchae Jung, Open Cyber University of Korea , South Korea.

Dr. Yuchae Jung is an accomplished Affiliated Professor at KAIST School of Computing, Seoul, South Korea. With an interdisciplinary background spanning computer science, medical sciences, and artificial intelligence, she brings a unique integration of biomedical knowledge and computational innovation to her research. Over the years, Dr. Jung has held key academic and research roles in prestigious institutions, including Harvard Medical School and State University of New York. Her professional journey reflects a strong commitment to advancing digital healthcare, AI-driven diagnostics, and computational biology. πŸ§ πŸ’»πŸ§¬

Professional Profile

Google Scholar

πŸŽ“ Education Background

Dr. Jung earned her Ph.D. and M.S. in Medical Science from The Catholic University of Korea (2008, 2002), following her undergraduate degree in Computer Science from Sookmyung Women’s University in 2000. This solid academic foundation has enabled her to contribute innovatively to both computer science and medical informatics. πŸŽ“πŸ“š

πŸ§ͺ Professional Experience

Dr. Jung is currently affiliated with KAIST’s School of Computing as a professor. She has previously held significant roles at The Catholic University of Korea, Boin IT, Seoul National University, and Sookmyung Women’s University. She has also conducted postdoctoral research at Brigham & Women’s Hospital (Harvard Medical School) and State University of New York. Her professional engagements include lectures, research leadership, and AI-based system development across medical and computing fields. πŸ₯πŸ–₯οΈπŸ“Š

πŸ… Awards and Honors

Dr. Jung has been the Principal Investigator of several prestigious grants from organizations such as the Ministry of SMEs and Startups, National Library of Korea, Ministry of Science, and Ministry of Education. Her projects span from NLP-based clinical dialogue systems to cancer therapy algorithms and bioinformatics applications in glioblastoma research. She was also honored as a keynote speaker by The Korean Society of Pathologists. πŸ†πŸ“œπŸ‡°πŸ‡·

πŸ”¬ Research Focus

Her core research interests lie in Medical AI, including deep transfer learning for digital pathology image analysis, clinical Natural Language Processing (Bio-NLP), and cancer genomics (TFs, repeat sequences, miRNAs). She also explores gene expression network analysis in cancer and functional informatics for precision diagnostics. Her work bridges cutting-edge AI with real-world healthcare applications. πŸ§¬πŸ€–πŸ“ˆ

βœ… Conclusion

Dr. Yuchae Jung is a pioneering figure in interdisciplinary AI and bioinformatics, contributing impactful research to cancer genomics and healthcare AI. With a dynamic academic trajectory and a clear focus on translational science, she continues to be a driving force in computational medicine and smart health systems. Her extensive contributions position her as a deserving candidate for recognition in digital healthcare innovation. πŸŒπŸ’‘πŸ‘©β€βš•οΈ

πŸ“ Top Publications Highlights

  1. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning
    πŸ“… Published: 2021 in MDPI Sensors
    πŸ“Š Cited by: 39 articles (Google Scholar)
    πŸ” A groundbreaking study applying deep transfer learning for pathology image classification.

  2. Impact of tumor purity on immune gene expression and clustering analyses across multiple cancer types
    πŸ“… Published: 2018 in Cancer Immunology Research
    πŸ“Š Cited by: 107 articles
    πŸ”¬ Investigates how tumor purity affects gene expression in cancer immunology.

  3. Hybrid-Aware Model for Senior Wellness Service in Smart Home
    πŸ“… Published: 2017 in MDPI Sensors
    πŸ“Š Cited by: 25 articles
    🏑 Explores smart health monitoring using a hybrid AI model in smart homes.

  4. Aneuploidy meets network analysis: leveraging copy number alterations
    πŸ“… Published: 2017 in Translational Cancer Research
    πŸ“Š Cited by: 15 articles
    🧬 Integrates systems biology with cancer genomics.

  5. Cancer stem cell targeting: Are we there yet?
    πŸ“… Published: 2015 in Archives of Pharmacal Research
    πŸ“Š Cited by: 55 articles
    πŸ’‘ Reviews strategies to target elusive cancer stem cells.

  6. Systemic approaches identify Z-ajoene as a GBM stem cell-specific targeting agent
    πŸ“… Published: 2014 in Molecules and Cells
    πŸ“Š Cited by: 40+ articles
    πŸ§ͺ Identifies garlic-derived compound with anti-glioblastoma activity.

  7. Numb regulates glioma stem cell fate and growth
    πŸ“… Published: 2012 in Stem Cells
    πŸ“Š Cited by: 100+ articles
    πŸ“ˆ A critical study in stem cell regulation in glioma.

  8. GEAR: Genomic Enrichment Analysis of Regional DNA Copy Number Changes
    πŸ“… Published: 2008 in Bioinformatics
    πŸ“Š Cited by: 80+ articles
    🧬 Proposes a novel method for regional DNA copy number analysis.

  9. DNA methylation patterns of ulcer-healing genes in gastric cancers
    πŸ“… Published: 2010 in Journal of Korean Medical Science
    πŸ“Š Cited by: 35 articles
    πŸ”¬ Connects epigenetics with cancer pathology.

  10. PathCluster: a framework for gene set-based hierarchical clustering
    πŸ“… Published: 2008 in Bioinformatics
    πŸ“Š Cited by: 90+ articles
    πŸ“‚ Presents a tool widely adopted in gene expression analysis.

 

Dr. Zeynep Ilkilic Aytac | Artificial Intelligence | Best Researcher Award

Dr. Zeynep Ilkilic Aytac | Artificial Intelligence | Best Researcher Award

Dr Lecturer, OndokuzmayΔ±s University, Turkey

Dr. Zeynep Ilkilic Aytac is a dynamic and innovative academician serving as a Lecturer at Ondokuz MayΔ±s University, Yeşilyurt Demir Γ‡elik Vocational School, Department of Mechatronics 🏫. With over eight years of teaching experience, she has contributed significantly to interdisciplinary research that merges mechatronics, artificial intelligence πŸ€–, and sustainable technologies 🌱. Her strong academic foundation and passion for practical innovation enable her to mentor engineering students while advancing the frontiers of medical diagnostics and control systems. She is widely recognized for her work in MEMS gyroscope control, CNN-based cancer detection, and emission modeling using AI.

Publication Profile

πŸŽ“ Education Background

Dr. Aytac earned her BSc, MSc, and PhD degrees in Mechatronics Engineering from FΔ±rat University, Turkey . Her academic journey showcases a strong foundation in mechanical-electrical integration, AI-driven design, and intelligent control systems. Her doctoral research focused on developing robust control strategies for MEMS gyroscopes, laying the groundwork for her multifaceted research career.

πŸ’Ό Professional Experience

Currently a Lecturer at Ondokuz Mayıs University, Dr. Aytac brings over eight years of higher education teaching and project supervision experience. She has led various academic initiatives and research projects that combine engineering principles with AI and sustainability 🌐. Her interdisciplinary projects have strengthened both academic and industry collaborations, reflecting her commitment to applied research and impactful innovation.

πŸ… Awards and Honors

Dr. Aytac has gained recognition for her research through publication in reputable international journals and conference proceedings πŸ†. Although specific awards are not listed, her extensive interdisciplinary contributions and active role in innovation-driven education suggest an academic career marked by peer respect and institutional acknowledgment.

πŸ”¬ Research Focus

Her research interests lie in the robust control of MEMS gyroscopes, artificial intelligence in medical imaging 🧠, and emission prediction from internal combustion systems using neural networks. She has also focused on CNN-based thyroid cancer detection, leveraging hybrid metaheuristic optimization algorithms like COOT, GWO, PSO, and CMA-ES. Her contributions uniquely combine mechatronics, control theory, deep learning, and sustainability for real-world applications across engineering and healthcare.

🧩 Conclusion

Dr. Zeynep Ilkilic Aytac exemplifies the spirit of modern engineering innovationβ€”bridging theoretical knowledge with hands-on impact. Her work continues to shape the convergence of control systems, AI, and biomedical diagnostics, enriching both academic fields and practical industries πŸ”§πŸ§¬. Through dedicated teaching, collaborative research, and a commitment to sustainable technology, she inspires the next generation of engineers and scientists.

πŸ“š Top PublicationsΒ 

AI-Based Emission Prediction Using Artificial Neural Networks Optimized by CMA-ES Algorithm.
Journal: Energy Reports, Year: 2022
Cited by: 24 articles

Robust Control of MEMS Gyroscopes Using Adaptive Sliding Mode Techniques.
Journal: Microsystem Technologies, Year: 2021
Cited by: 17 articles

Deep CNN Optimization for Thyroid Cancer Detection Using GWO and PSO.
Journal: Sensors, Year: 2023
Cited by: 12 articles

Hybrid AI Approaches in Digital Pathology: A CNN-Based Study.
Journal: IEEE Access, Year: 2022
Cited by: 9 articles

Β Metaheuristic Optimization in CNNs for Histopathological Image Classification.
Journal: Expert Systems with Applications, Year: 2023
Cited by: 7 articles

Prof. Dr. Otilia Manta | Artificial Intelligence | Innovative Research Award

Prof. Dr. Otilia Manta | Artificial Intelligence | Innovative Research Award

Professor PhD, Romanian Academy, Romania

Prof. Dr. habil. Elena Otilia Manta Β is a renowned economist, academic, and scientific researcher, currently serving as a Professor at the Romanian-American University and a Scientific Researcher at the Romanian Academy. With over two decades of experience in economic sciences, she is widely respected for her expertise in finance, FinTech, AI integration, and sustainable development. She also holds various leadership roles in international organizations, including Vice President of EUExperts in Brussels, reflecting her strong influence in policy and academic circles globally. πŸŒπŸ’Ό

Publication Profile

πŸŽ“ Education Background

Prof. Manta holds a Ph.D. in Economics and the academic title of “habilitation,” enabling her to supervise doctoral research. Her education has been complemented by continuous development in areas like finance, international economic relations, and technological integration, laying a solid academic foundation for her contributions in both national and international academic communities. πŸŽ“πŸ“–

πŸ’Ό Professional Experience

Since 2014, Prof. Manta has been a Scientific Researcher at the Romanian Academy and since 2019, a full Professor at the Romanian-American University in Bucharest. She also serves as Vice President of the European Union Experts (EUExperts) and the International Research Institute for Economics and Management (IRIEM), among others. As founder and CEO of The Romanian Group for Investments and Consultancy (RGIC), she combines academic depth with real-world financial leadership. She has also served as an EU Expert and Rapporteur with the European Commission. πŸŒπŸ›οΈπŸ“Š

πŸ† Awards and Honors

Prof. Manta has received numerous honors, including the “2006 Woman of the Year Commemorative Medal” by the American Biographical Institute. She is a respected honorary member of the Romanian-Italian Chamber of Commerce and holds various affiliations with prestigious academic, financial, and developmental organizations such as the UN HLPF Mechanism and the Financial Stability Oversight Council (NY). πŸ₯‡πŸŽ–οΈπŸŒŸ

πŸ”¬ Research Focus

Her research focuses on FinTech, artificial intelligence integration in banking, sustainable economic development, academic transparency, and financial innovation. As an active participant in multidisciplinary fields, Prof. Manta is a frequent contributor to leading journals and conferences, continuously shaping discussions on the future of finance and digital transformation. πŸ’‘πŸ“ˆπŸ€–

πŸ”— Publications – Top Notes

Banking Transformation Through FinTech and the Integration of Artificial Intelligence in Payments – FinTech, 2025 | DOI: 10.3390/fintech4020013 – A highly impactful paper exploring AI’s role in revolutionizing payment systems.

FinTech and AI as Opportunities for a Sustainable Economy – FinTech, 2025 | DOI: 10.3390/fintech4020010 – Widely cited for linking technology to green and inclusive finance.

The Transfer of Managerial Expertise in Romanian Companies through the Application of the DEMATEL Method – Journal for Future Society and Education, 2025 – Emphasizes decision science in corporate governance.

Ensuring Academic Integrity: Tools and Mechanisms for a Transparent Educational Environment – Preprints, 2025 – Focuses on digital tools fostering academic ethics.

πŸ”š Conclusion

Prof. Dr. habil. Otilia Manta is a distinguished leader, bridging the worlds of academia, finance, and international consultancy. Her career reflects a strong commitment to innovation, transparency, and global collaboration in economics. Through her scholarly research, institutional leadership, and consultancy, she continues to inspire future generations in both Romania and abroad. πŸŒŸπŸ“˜πŸŒ