Teaching and Supervision

Some of my current and former PhD and Masters students

1. Supervision

Current PhD Students

Alina Marcu, PhD student at IMAR and Research Assistant at UPB. List of papers here.

Dragos Costea, PhD student and research assistant at UPB. List of papers here.

Nicolae Cudlenco, PhD student at IMAR. List of papers here.

Mihai Masala, PhD student at IMAR. List of papers here.

Florin Condrea, PhD student at IMAR and AI Engineer at ARNIA. List of papers here.

Mihai Pirvu, PhD student at IMAR and AI Engineer at MorphL List of papers here.

Alexandra Budisteanu, PhD student at IMAR and AI Engineer at ARNIA.

Former students who graduated with a PhD under my supervision

Ioana Croitoru, former PhD student at IMAR and Teaching Assistant at UPB. List of papers here.

Vlad Bogolin, former PhD student at IMAR and Teaching Assistant at UPB. List of papers here.

Elena Burceanu, former PhD student at University of Bucharest and IMAR. Now coordinator of AI Research at Bitdefender. List of papers here.

Emanuela Haller, former PhD student at UPB. Now Research Scientist at Bitdefender. List of papers here.

Selected Master Students and AI Engineers

Iulia Duta (Ai Engineer at Bitdefender)

Andrei Nicolicioiu (AI Engineer at Bitdefender)

Andretti Naiden (AI Engineer at ARNIA)

Victor Ivan (AI Engineer at ARNIA)

Cristina Lazar (Master student at UNARTE - Bucharest University of Arts)

Iulia Paraicu (AI Engineer at Fordaq)

Vlad Licaret (AI Engineer at Autonomous Systems and Research Assistant at UPB)

Nicolae Rosia (AI Engineer)

Alexandra Vieru (AI Engineer at Microsoft)

Otilia Stretcu ( Research Scientist at Google, PhD from Carnegie Mellon University, under Prof. Tom Mitchell and Prof. Barnabàs Pòczos)

Vlad Paunescu (AI Engineer at ARNIA Software)

Andrei Zanfir (Research Scientist at Google, graduated with PhD under Prof. Cristian Sminchisescu)

Mihai Zanfir (Research Scientist at Google , graduated with PhD under Prof. Cristian Sminchisescu)

Coordinating Research Groups at Academic Institutions and Companies

Computer Vision and Robotics Group

We form a growing group of young and passionate researchers and students from three different academic institutions, namely Politehnica University of Bucharest, University of Bucharest and the Institute of Mathematics of Romanian Academy with focus on creating algorithms for automated learning in the spatiotemporal domain. Our main research topics include unsupervised learning, semantic segmentation, video to language translation, detection of abnormal events, visual recognition from EEG signals, learning from aerial videos and vision-based UAV control.

Website of the group can be found here.

Computer Vision and Machine Learning at Bitdefender

At Bitdefender we tackle fundamental unsupervised learning approaches that we consider to be the key to true unconstrained learning, which best simulates how humans discover the surrounding world. We aim to combine the unsupervised visual perception with supervised cognitive video representation. We want to build systems that understand our world by only watching videos. And we go further, teaching the system to describe, in natural language, the discovered elements. Website of the group can be found here.

Computer Vision for Drones at Autonomous Systems

At Autonomous we want to teach drones how to fly by giving them intelligent vision. They will understand their environment, fly safely and know where they are by training their vision and control using deep learning models. Our work on vision for drones has already captured international attention with papers published and prizes obtained at top dedicated competitions and conferences.

Computer Vision at Fordaq

At Fordaq we research and create state of the art computer vision algorithms and intelligent technology for visual learning and recognition in images and videos of wood. Our innovative approach will reduce costs and wood waste, while improving energy saving and performance in the wood industry sector. At Fordaq we developed TallyExpress , the first smartphone application in the world for automatic lumber tally, currently used in US and European markets.

Computer Vision at Arnia Software

At Arnia we have a strong group of AI engineers and researchers, who specialize in developing powerful, fast and accurate algorithms, based on both deep learning and non-CNNs computer vision techniques for a wide range of tasks related to autonomous driving.