Team

Dr. Marius Leordeanu is a Professor at the University "Politehnica" of Bucharest (UPB) and Senior Researcher at the Institute of Mathematics "Simion Stoilow" of the Romanian Academy (IMAR). Marius obtained his Bachelor's in Mathematics and Computer Science at Hunter College of the City University of New York (2003) and PhD in Robotics Institute of Carnegie Mellon University (2009). His research spans different areas in vision and learning, with a main focus on unsupervised learning in the space-time domain, vision for drones and aerial scene understanding, optimization on graphs and neural nets, as well as relating vision to natural language. He coordinates several research groups, both in academia and industry, having strong collaborations on topics that range from general computer vision (e.g. Google, Bitdefender, NORCE) to specific applications for autonomous vehicles (e.g. ARNIA, Google, NORCE), the wood industry (Fordaq) and medical imaging (Siemens). For his work on graph matching and unsupervised learning he received the "Grigore Moisil Prize" in Mathematics (2014), the top award given by the Romanian Academy. In 2020 Marius published a book, Unsupervised Learning in Space and Time (Springer), which proposes a general unsupervised learning model that brings together the powers of graphs and deep neural networks.

A list of publications could be found on Google Scholar profile and on DBLP profile.

Marius Leordeanu's CV is available here.

Dr. Emil-Ioan Slusanschi is a Professor at UPB. He received his MSc in Computer Science from the UPB in 2001 and his PhD from the Institute for Scientific Computing at the RWTH-Aachen University in Germany in 2008. His fields of interest include high performance scientific computing, compilers, automatic semantic transformations of computer codes, numerical algorithms, multi-core and multi-processor systems. He coordinated the UPB team in the EUWB, TWISNet and LEXNET FP7 projects and the UNICORE H2020 project. He is currently the Head of the Computer Science and Engineering Department of the UPB and also heading the Centre for Research in Computing.

Interests: High Performance Computing, Parallelization of Computer Programs, Profiling and Optimization of Scientific Software Systems, Computer Systems Architecture, Semantic Transformations of Computer Codes, Automatic Differentiation, Wireless Sensor and Actuator Networks.

Specialties: Parallel Computing (MPI, OpenMP, and Multicore Programming; Porting and Parallelization of Scientific Computing Applications to HPC systems; Profiling and Debugging Parallel Programs), Automatic Differentiation (Development of an AD-tool for Java bytecode; Expertise with AD-tools for the C, Fortran and Matlab languages).

A list of publications could be found on Google Scholar profile.

Emil Slusanschi's LinkedIn page.

Traian Rebedea is Associate Professor at University Politehnica of Bucharest, with a Ph.D. in natural language processing defended in 2013 (at UPB). The thesis focused on offering detailed feedback to learners engaged in multi-party computer supported collaborative conversations (using chats, discussion forums). In the last couple of years, Dr. Traian Rebedea was involved in several applied projects involving NLP, information extraction, and machine learning with applications in opinion mining, information extraction from public data about companies and persons, conversational agents, multi-modal vision and language tasks, and question-answering systems. He has coordinated two research projects in collaboration with companies (Bitdefender and Autonomous Systems), as well as an innovation grant for startups offered by the European Commission through the Open Data Incubator (Wholi project).

A list of publications could be found on Google Scholar profile.

Drd. Ing. Vlad Bogolin received his Bachelor’s degree in Computer Science from University Politehnica of Bucharest and has a Master’s degree in Artificial Intelligence from the same institution. He is currently a PhD student at the Institute of Mathematics of the Romanian Academy. His research interests include approaches for: unsupervised object segmentation and vision-language representation.

A list of publications could be found on Google Scholar profile.

Drd. Ing. Dragos Costea is a PhD student at University Politehnica of Bucharest and also the Institute of Mathematics of the Romanian Academy. His research interests revolve around subjects such as: image-based localization, depth estimation, scene/object representation, embedded/real-time algorithms.

A list of publications could be found on Google Scholar profile.

Drd. Ing. Ioana Croitoru received her Bachelor’s degree in Computer Science from University Politehnica of Bucharest and has a Master’s degree in Artificial Intelligence from the same institution. She is currently a PhD student at the Institute of Mathematics of the Romanian Academy. Her research interests include approaches for: unsupervised object segmentation and vision-language representation.

A list of publications could be found on Google Scholar profile.

Ing. Vlad Licaret received his Bachelor's degree in Electrical Engineering from University Politehnica of Bucharest. He is a senior researcher with interests in topics such as, but not limited to: depth estimation from video, pose estimation, raster/point cloud consensus and rendering / 3D software.

Drd. Ing. Alina Marcu received her Bachelor’s degree in Computer Science from University Politehnica of Bucharest and has a Master’s degree in Artificial Intelligence from the same institution. She is currently a PhD student, in her fifth year, at the Institute of Mathematics of the Romanian Academy. Her research interests revolve around subjects such as supervised/semi/self/unsupervised learning methods for scene understanding, with a focus on video scene semantic segmentation for UAVs.

A list of publications could be found on Google Scholar profile.

Drd. Ing. Mihai Masala received his B.Sc. in Computer Science from University Politehnica of Bucharest in 2017. In 2019 he was awarded his M.Sc. in Computer Science with focus on Artificial Intelligence. His field of research was Natural Language Processing with a strong focus on question answering techniques and chat conversations analysis. He is currently a PhD student at The Romanian Academy working on bridging the gap between computer vision and natural language processing through story graphs.

A list of publications could be found on Google Scholar profile.

Drd. Ing. Mihai Pirvu received his Bachelor’s degree in Computer Science from University Politehnica of Bucharest and has a Master’s degree in Artificial Intelligence from the same institution. He is currently a PhD student at the Institute of Mathematics of the Romanian Academy. His research interests include approaches for: graph/consensus-based scene understanding, graph NN software, depth estimation, UAV navigation software.

A list of publications could be found on Google Scholar profile.