جستجوی استاد راهنمای دانشگاهی

Žiga Emeršičمشاهده پروفایل

استادیار

• Biometrics
• Deep Neural Networks
• Computer Vision
• +۵ مورد دیگر

Žiga Emeršič is an Assistant Professor at the University of Ljubljana, Faculty of Computer and Information Science , affiliated with the Computer Vision Laboratory . His work bridges biometrics , deep learning , and computer vision , with a focus on ear-based recognition systems and explainable AI. IEEE Member #98052610 Email: ziga.emersic@fri.uni-lj.si Office: R2.33, LRV Laboratory Office Hours: Tuesdays 12:30 or by arrangement Research interests include biometric recognition , deep neural networks , object detection , and privacy-preserving AI . He pioneered ear biometrics research, developing tools like the Ear Biometric Database in the Wild and ContexedNet for context-aware recognition. Recent publications analyze biometric model performance ( Neural Computing & Applications, 2018 ), explore k-Same-Net for face deidentification ( Entropy, 2018 ), and advance ear alignment using two-stack hourglass networks ( IET Biometrics, 2023 ). His 2021 work on context-aware ear detection addresses real-world variability. Awards include the European Association for Biometrics Award (2021) , SDRV Excellence Plaque (2023) , and multiple University of Ljubljana recognitions for teaching and research (2016, 2018, 2022). He co-organized the 1st Machine Learning Summer School in Central America (2018) . As co-founder of OOSM Ltd (2014-2015), he applied deep learning to smart city solutions. His 2017 doctoral thesis on visual ear detection in unconstrained environments solidified his expertise in biometric AI .

Ziga Emersicمشاهده پروفایل

استادیار

• Biometrics
• Deep Neural Networks
• Computer Vision
• +۴ مورد دیگر

Dr. Žiga Emeršič is an Assistant Professor at the University of Ljubljana , Faculty of Computer and Information Science, and a member of the Computer Vision Laboratory (LRV). His research focuses on biometrics , deep neural networks , and computer vision with a specialization in ear-based recognition systems. IEEE Member (#98052610) Recipient of the European Biometrics Association Award (2021) and SDRV Excellence Plaque (2023) Co-organizer of international challenges in ear recognition and machine learning workshops His work addresses unconstrained ear detection , model compression for edge devices , and privacy-preserving biometric systems . He has contributed to AI education through EU projects like AIM@VET and developed curricula for computer vision and biometrics. Highlights: Published in top journals ( Neural Computing & Applications , IET Biometrics , Entropy ) Authored chapters in Springer publications on deep ear recognition and ocular biometrics Active in international conferences (IEEE, IAPR) with over 60 publications He has received special recognition for both research (2018) and teaching excellence (2016, 2019), and his work has been featured in media outlets across Slovenia.

Maja Malecمشاهده پروفایل

استادیار

• Modality
• Essence and Essentialism
• Thought Experiments
• +۶ مورد دیگر

Maja Malec is an Assistant Professor at the Department of Philosophy, Faculty of Arts, University of Ljubljana, where she has been employed since 2017. She earned her PhD in Philosophy from Central European University (Budapest) in 2010, with a dissertation on the essential/accidental distinction in contemporary metaphysics. Her academic career includes teaching at the same department as a contract employee before joining the faculty. Education: PhD (2010) from Central European University, BA/MA in Philosophy from University of Ljubljana. Research: Specializes in modality, essence, and thought experiments, examining their metaphysical, epistemic, and logical dimensions. Investigates historical evolution of modal concepts from antiquity to modern times and philosophical interpretations of nature, reality, and human agency. Her publications focus on modal arguments in philosophy of mind, analysis of scientific thought experiments (e.g., Newton's bucket, Galileo's falling bodies), and critiques of contextualist essentialism. She teaches courses like Human and Cosmos in Renaissance, Philosophy of Nature, Symbolic Logic, and Contemporary Analytic Philosophy.