Mehmet Akif Cifci
TU Wien, Klaipėdos valstybinė kolegija / Higher Education Institution, Duy Tan University
Research areas: Computer Science · Artificial Intelligence · AI in cancer detection · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence in Healthcare
0000-0002-6439-8826
About
Mehmet Akif Cifci is an accomplished Associate Professor in computer science, currently contributing his expertise at TU Wien, a prestigious university in Austria. He has over 15 years of computer science experience, focusing on artificial intelligence, machine learning, data science, and natural language processing. He holds a Ph.D. in computer engineering from Istanbul Aydin University and a BS in computer science from the University of the People.
As a COO, he oversees the strategic planning, execution, and management of various projects and initiatives that aim to advance the field of AI and its applications. He also leads a team of researchers and developers who work on cutting-edge solutions in medical image processing, full-stack development, and software engineering methods. As a Research Scholar, he conducts innovative and impactful research in AI and ML and publishes his findings in reputable journals and conferences. He is a member of several professional organizations, such as IEEE, ACM, and ABV, and a frequent keynote speaker on AI, digital ethics, and computer science education topics. He is also the founder of WorlDrone Civilian Aerial Vehicles, a company that provides drone-based services and products.
Mehmet Akif Cifci is passionate about finding practical and ethical ways to use AI and ML to solve real-world problems and improve people's lives. He constantly learns new skills, explores new domains, and strives to share his knowledge and experience with others. He is a respected and influential leader, researcher, and educator in the computer science community.
https://www.linkedin.com/in/themanoftalent/
Employment
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Duy Tan University Senior researcher2025 - 2030
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TU Wien Senior Researcher2023 - Present
- 2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (60)
- A tertiary review of behavioral cybersecurity: themes, gaps and future directions Save
- Wavelet-Enhanced Machine Learning Framework for Monthly Streamflow Prediction: A Comparative Assessment of Hybrid Models Save
- Transfer Learning-Based Quantification of Mitotic Activity and Its Prognostic and Molecular Associations in Lung Squamous Cell Carcinoma Save
- A Scalarized Weighted-Sum Hybrid GA–PSO Decision-Support Framework for Constrained Water Resource Scheduling Save
- NeuroFATE-MS: Privacy-Aware Federated Temporal Learning for Short-Term Multiple Sclerosis Progression Prediction Save
- UAV Mission Planning for Post-Disaster Victim Localisation via Federated Multi-Agent Reinforcement Learning Save
- A Verifiable Framework for Brain Tumor Classification: Combining Vision Transformers, Class-Weighted Learning, and SMT-Based Formal Decision Traces Save
- A short form of the cybersecurity resilience scale (CSRS-20): development and initial cross-cultural validation Save
- Adaptive Multimodal Fusion of Histopathology and Radiographs for Osteosarcoma Classification Using EfficientNet and Gated Decision Integration Save
- Confidence-Aware Decision-Level Fusion of Unpaired Radiographic and Histopathological Images for Osteosarcoma Classification Save
- Hybrid Wavelet and Machine Learning Models for Monthly Streamflow Prediction in the Karamandere Creek Basin Save
- Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran Save
- Improved prediction of childhood anemia using hybrid ensemble learning and dual-level explainability Save
- Prediction of landslide susceptibility through ANN models optimized by evolutionary algorithms Save
- Integrating Convolutional, Transformer, and Graph Neural Networks for Precision Agriculture and Food Security Save
- Optimizing internet of things based gas sensors: deep learning and performance optimization strategies Save
- Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models Save
- Biyoinspirasyon tabanlı derin öğrenme algoritması Save
- Exploring the dynamics of creative tourism: A tourist-centric perspective to achieve economic sustainable development Save
- An Analysis of Rural Economic Development Dynamics Save