I am a Ph.D. student at Goethe University Frankfurt under the supervision of Professor Gemma Roig. Both my Bachelor's and Master's degrees were completed at Goethe University, specializing in Computer Science. I am part of the ARENA project, which focuses on studying the development of abstract representations in multimodal models. To achieve my research objectives, I collaborate with psychology and cognitive neuroscience researchers. Furthermore, I am interested in multimodal self-supervised and zero-shot learning techniques, as well as the creation of efficient systems.

I am a PhD student at Goethe University Frankfurt, co-supervised by Prof. Gemma Roig and Prof. Visvanathan Ramesh. I did my Bachelor's and Masters in Computer Science at Istanbul Technical University (ITU), Turkey. During my Bachelor's and Master's, I worked on face biometrics and anomaly detection. My current work focuses on explainable and transparent AI systems for education. I am also interested in representation and metric learning.

I’m a Ph.D. student working on the intersection of simulations and deep learning at the Frankfurt Institute for Advanced Studies supervised by Dr. Roberto Covino and Prof. Gemma Roig. I am a recipient of a doctoral scholarship from the Polytechnische Gesellschaft. I am currently researching making molecular dynamics simulations faster and more steerable using deep-learning generative models. I also develop deep learning methods for the visual arts as a hobby.

I am a research assistant at the lab of Prof. Dr. Gemma Roig, exploring the intricacies of the human brain and its cortical functions through the lens of deep neural networks. My continuous contributions to the development of the toolbox, Net2Brain, have been instrumental in advancing our understanding of these functions. My academic path began with a bachelor's thesis at Goethe University in Frankfurt under the guidance of Prof. Dr. Gemma Roig, marking the inception of Net2Brain. My Master's research, mentored by Prof. Dr. Florian Büttner, delved into the calibration of fine-tuned deep neural networks for medical purposes, with a primary focus on oncology. A consistent theme throughout my career has been the fusion of computer science with medical and neural applications, particularly in the realm of computer vision.

I'm a PhD student working on AI explainability under the supervision of Prof. David Massip, AIWELL lab, Universitat Oberta De Catalunya in Barcelona, Spain. Currently, I am a visiting researcher at Goethe University's CVAI lab, where I am working under Prof. Gemma's group. My current research is focused on the explainability of knowledge distillation.

I am Research Associate (E-13) at GOETHE-University Frankfurt am Main, Institute for Computer Science and Mathematics. I am also a doctoral student in Computer Science at Universitat Politècnica de València, where my research focuses on vision and learning with special emphasis on their applications with Unmanned Aerial Vehicles (UAV). I received a 5-year degree in Telecommunication Engineering from Universitat Autònoma de Barcelona and Universitat Politècnica de Catalunya in 2013, and a MSc in Multimedia Information Technology from City University of Hong Kong, where I completed my master thesis at Carnegie Mellon, in 2015. I have had many research appointments, such as at ETH Zürich. My research interests include computer vision, ML, and robotics.

I am Research Associate (E-13) at GOETHE-University Frankfurt am Main, Institute for Computer Science and Mathematics. I am also a PhD student in Computer Science at the Universitat Politècnica de València, where I work on UAV semantic scene understanding. I received my undergraduate in Mathematics from Universitat Autònoma de Barcelona (specialization in Pure Mathematics) in 2013 where I previously completed the 1st Cycle of Licentiate in Mathematics at Universitat de Barcelona. I also graduated with a master's degree in Multimedia Information Technology from City University of Hong Kong, where I did my master thesis at the School of Computer Science at Carnegie Mellon, in 2015. I have worked at ETH Zürich, Carnegie Mellon and CUHK, among others. My research interests include computer vision, ML, and robotics.

I am a PhD student at the Indian Institute of Technology, Bombay, supervised by Prof. Biplab Banerjee, Prof. Subhasis Chaudhuri and Prof. Gemma Roig. I did my Master's from the Indian Institute of Technology Patna, while my Bachelor's from Maulana Abul Kalam Azad University of Technology. Previously, I interned at the Indian Institute of Science, Bengaluru and Tata Consultancy Services-Research and Innovation Labs during my Bachelor's and Master's, respectively. My current research domain is Continual Learning in Computer Vision.

I pursued a PhD at the Goethe University Frankfurt advised by Prof. Gemma Roig. I am a great admirer of the field of machine learning for natural language processing. Before starting my PhD, I was a data analyst at PwC Germany, where I participated in establishing a collaboration with the Fraunhofer Institute IAIS and conducted research work for my master thesis on question answering with neural networks. Currently, I am analyzing the potential of low-resource languages and their historical literature on the example of foundational NLP tasks such as named entity recognition. For accomplishing my research goals, I collaborate with NLP researchers from the IT University of Copenhagen and historical linguists from the Goethe University Frankfurt.