Andrei Olaru is Associate Professor with the Computer Science Department of National University of Science and Technology POLITEHNICA Bucharest, member of the AI-MAS Laboratory, and founding member of ARIA, the Romanian Association for Artificial Intelligence. He received his B.Sc. (2008) from the Computer Science Department of UPB, his M.Sc. (also in 2008) from Polytech Nantes (University of Nantes), and his Ph.D. degree (2011) jointly from University Politehnica of Bucharest and University Pierre and Marie Curie (Paris 6), now University Sorbonne. He has lead several national research projects, and he was responsible at UPB for FIT-Europe Erasmus+ project.

https://doi.org/10.1007/978-3-031-48539-8\_17
https://doi.org/10.1007/s11036-012-0408-9
https://doi.org/10.1109/CSCS.2019.00048

Habil. PhD. Eng. Costin-Gabriel Chiru (624 citations, h-index 14) is an Associate Professor at the Faculty of Automatic Control and Computers from University Politehnica of Bucharest. In the past, he worked as a Teaching Assistant (2004-2012) and Lecturer (2012-2017) at the Faculty of Automatic Control and Computers from University Politehnica of Bucharest and as a researcher in the field of Natural Language Processing at Human Language Technology Research Institute, Dallas, TX, USA (2005-2006). His PhD Thesis, entitled “The Influence of Repetitions on Discourse and Semantic Analysis”, has been defended in 2011 and was focused on using Natural Language Processing for the analysis of the discourse structure in online conversations.

If you’re going to do something, do it right!

• Chiru, C., Trausan-Matu, S, Rebedea, T. Technology: Creativity in Chats, In: Mark Runco and Steven Pritzker (Eds.), Encyclopedia of creativity 3rd Edition, ISBN 978-0-12-815614-8, Academic Press, 09.04.2020, pp. 569-578, DOI:10.1016/B9780-12-809324-5.23735-8
• Chiru, C., Rebedea, T. Profiling of Participants in Chat Conversations Using Creativity-Based Heuristics. In Creativity Research Journal, vol 29 (1), 2017, pp. 43 – 55, ISSN: 1040-0419, doi: 10.1080/10400419.2017.1267464, WOS:000395125800006
• Chiru, C., Trausan-Matu, S. Identification and classification of the most important moments from students’ collaborative discourses. 11th International Conference of Intelligent Tutoring Systems, LNCS 7315, Springer, 2012, ISBN 978-3-642-309496, pp. 330-339, DOI: 10.1007/978-3-642-30950-2_43
• Bercaru, G., Truică, C. O., Chiru, C. G., & Rebedea, T. (2023). Improving Intent Classification Using Unlabeled Data from Large Corpora. Mathematics, 11(3), 769
• Hangan, A., Chiru, C. G., Arsene, D., Czako, Z., Lisman, D. F., Mocanu, M., Pahontu, B., Predescu, A. & Sebestyen, G. (2022). Advanced Techniques for Monitoring and Management of Urban Water Infrastructures—An Overview. Water, 14(14), 2174.
• Arsene, D., Predescu, A., Pahonțu, B., Chiru, C. G., Apostol, E. S., & Truică, C. O. (2022). Advanced Strategies for Monitoring Water Consumption Patterns in Households Based on IoT and Machine Learning. Water, 14(14), 2187.
• Predescu, A., Arsene, D., Pahonțu, B., Mocanu, M., & Chiru, C. (2021). A serious gaming approach for crowdsensing in urban water infrastructure with blockchain support. Applied Sciences, 11(4), 1449, DOI: 10.3390/app11041449.
• Constantinescu, V., Chiru, C., Boloni, T., Florea, A., & Tacutu, R. (2020). Learning flat representations with artificial neural networks. Applied Intelligence, 1-15, DOI: 10.1007/s10489-020-02032-4, WOS:000585786200002.
• Nistor, N., Trausan Matu, S., Dascalu, M., Duttweiler, H., Chiru, C., Baltes, B. and Smeaton, G. Finding student-centered open learning environments on the internet: Automated dialogue assessment in academic virtual communities of practice. In Computers in Human Behavior 47: 119-127 (2015), ISSN: 0747-5632, doi:10.1016/j.chb.2014.07.029, WOS:000351799600013
• Nooralahzadeh, F., Arunachalam, V., Chiru, C. 2012 Presidential Elections on Twitter – An Analysis of How the US and French Election were Reflected in Tweets, in Proceedings of 19th Conference on Control System and Computer Science (CSCS 2013), ISBN:978-0-7695-4980-4, pp. 240-246, DOI: 10.1109/CSCS.2013.72, WOS:000328493800036

Dan Tudose is an associate professor and researcher at the Computer Science Department of University Politehnica in Bucharest. He has a PhD in computer science, specialising in the Internet of Things, pervasive computing and energy harvesting. As a scientific researcher, Dan is leading the research activity of the Embedded Systems Laboratory and has over fifteen years of experience as a researcher in national and international projects sponsored by the European Union related to the development of the Internet of Things and Wireless Sensor Networks. Dan is also a driven entrepreneur, having founded several start-ups in the IoT and wearable space, the last of which was acquired by Fitbit, which is now part of Google.

https://www.romania-insider.com/romanian-smartwatch-baselworld-2015
https://adevarul.ro/stil-de-viata/tehnologie/succesul-vector-watch-multi-au-o-idee-dar-e-doar-1768388.html
https://www.wall-street.ro/articol/IT-C-Tehnologie/150824/pollutiontrack-aparat-care-iti-arata-cat-de-poluat-este-locul-in-care-te-afli.html

Dan-Matei Popovici, is an expert in systems verification with focus on system safety, accuracy, and operational performance. His research includes cloud service policy compliance, MPTCP congestion control, network dataplane verification, and control-plane verification in P4 switches. He is currently working on Large Language Model applications, particularly in educational settings and for generating safe code. He has contributed to five international projects over a decade, holding positions at Clausthal Technical University, ICUB, and CORNET. Currently, he leads UNTSPB-funded and Horizon-Europe FUTURAL projects on LLM research, program verification, and metasearch platforms, collaborating with PhD and postdoctoral researchers, and overseeing student research.

• ChatGPT in the classroom. Exploring its potential and limitations in a functional programming course

  MD Popovici

  International Journal of Human–Computer Interaction, 1-12

  Reasoning about strategic abilities: agents with truly perfect recall

  N Bulling, W Jamroga, M Popovici

  ACM Transactions on Computational Logic (TOCL) 20 (2), 1-46

  Dataplane equivalence and its applications

  D Dumitrescu, R Stoenescu, M Popovici, L Negreanu, C Raiciu

  16th USENIX Symposium on Networked Systems Design and Implementation

  Debugging P4 programs with Vera

  R Stoenescu, D Dumitrescu, M Popovici, L Negreanu, C Raiciu

  Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication

  Symnet: Scalable symbolic execution for modern networks

  R Stoenescu, M Popovici, L Negreanu, C Raiciu

  Proceedings of the 2016 ACM SIGCOMM Conference, 314-327

  A game-theoretic approach to compute stable topologies in mobile ad hoc networks

  N Bulling, M Popovici

  Journal of Logic and Computation 25 (3), 639-667

  In-net: In-network processing for the masses

  R Stoenescu, V Olteanu, M Popovici, M Ahmed, J Martins, R Bifulco, …

  Proceedings of the Tenth European Conference on Computer Systems, 1-15

  Agents with truly perfect recall in alternating-time temporal logic.

  N Bulling, W Jamroga, M Popovici

  AAMAS 14, 1561-1562

  ATL∗ With Truly Perfect Recall: Expressivity and Validities

  NBW Jamroga, M Popovici

  ECAI 2014: 21st European Conference on Artificial Intelligence 263, 177

Dragos Popescu is Professor in Control Engineering and Advanced Control Systems. His research interests include intelligent control systems, complex systems theory and modelling, cyber-physical systems, real time optimization, machine learning, image processing and robotics.

Favorite quote

“As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.” – Albert Einstein

https://www.sciencedirect.com/science/article/abs/pii/S1566253523000076

https://www.nature.com/articles/s41567-021-01325-w

https://worldwide.espacenet.com/patent/search/family/060688723/publication/RO132327B1?q=RO132327B1

I am an Associate Professor of Computer Science at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest.
In 2022, I also held a temporary teaching and research position at the Division of Computing Science, Department of Information Technology, Uppsala University, Sweden.
I received my PhD in Computer Science and Information Technology at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, on the topic of Efficient Management of Resource-Intensive Services in Large Scale Distributed Systems. I also hold an M.Sc. Degree in Operating Systems and Distributed Processing and a B.Eng. in Computer Science from the University Politehnica of Bucharest. During my last year of bachelor’s and first year of master’s studies, I was an Intern and then a Junior Research Engineer at the Next Generation Network Infrastructures (NGNI) competence center, Fraunhofer FOKUS Institute, Berlin, Germany, where I worked on computer networking and telecommunication field with a focus on mobile and service orientated architectures.
During my PhD studies, I was an invited researcher at Inria Rennes Bretagne – Atlantique Research Centre, France, in the KerData team, where I worked on Data Management.
I was a postdoctoral researcher at the Microsoft Research Inria Joint Centre, Paris, France, where I worked on Big Data Analytics and Scientific Workflows for Multi-Site Clouds, with a use case in Bioinformatics.

“The best way to predict the future is to invent it.” (Alan Kay)

Research Interests: vision-based human behaviour understanding and context awareness, and knowledge transfer across sensing modalities.

• “The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models”, FG 2024, IEEE.
• “GaitPT: Gait Pyramid Transformer for Skeleton-based Gait Recognition”, FG 2024, IEEE.
• “CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild”, FG 2024, IEEE.
• “Aligning Actions and Walking to LLM-Generated Textual Descriptions”, FG 2024, IEEE.
• “Gait Recognition from Highly Compressed Videos”, FG 2024, IEEE.
• “PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait”, WACV 2024, IEEE.
• “Car Full View Dataset: Fine-Grained Predictions of Car Orientation from Images”, Electronics 2024.
• “GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes”, IJCB 2023, IEEE.
• “Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild”, Sensors 2023.
• “Learning Gait Representations with Noisy Multi-Task Learning”, Sensors 2022.
• “Bootstrapping Road Sign Detection for Self-Driving Cars using Weakly-Supervised Learning”, RoEduNet 2022, IEEE.
• “Image-based Fruit Recognition and Classification”, RoEduNet 2022, IEEE.
• “Scalable Deployments for Real-Time AI Video Stream Processing”, RoEduNet 2022, IEEE.
• “From face to gait: Weakly-supervised learning of gender information from walking patterns”, FG 2021, IEEE.
• “Wildgait: Learning gait representations from raw surveillance streams”, Sensors 2021.
• “A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision”, Sensors 2020.
• “Multi-Task Learning of Confounding Factors in Pose-Based Gait Recognition”, RoEduNet 2020, IEEE.
• “Autonomous Self-Diagnosis System”, RoEduNet 2020, IEEE.
• “Mapping Natural Language Questions to Medical Specialties”, RoEduNet 2020, IEEE.
• “CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras”, IPIN 2019, IEEE.
• “Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets”, IPIN 2019, IEEE.
• “PXNOR: Perturbative Binary Neural Network”, RoEduNet 2019, IEEE.
• “Stress Level Prediction Using Data from Wearables”, RoEduNet 2019, IEEE.
• “Performance Evaluation of the VB-TDMA Protocol for Long-term Tracking and Monitoring of Mobile Entities in the Outdoors”, Q2SWinet 2015, ACM.
• “Tracking and monitoring horses in the wild using wireless sensor networks”, WiMob 2015, IEEE.
• “Prospeckz-5 – A wireless sensor platform for tracking and monitoring of wild horses”, DSD 2014, IEEE.
• “CoAP-Mediated Hybrid Simulation and Visualisation Environment for Specknets”, PADS 2013, ACM.
• “Evaluation of Routing Protocols for Internet-Enabled Wireless Sensor Networks”, ICWMC 2012, IARIA.

Eugen POP received a PhD in Telecommunications in 1999 from University Politehnica of Bucharest, Romania. The thesis focused on applying adaptive algorithms for multiuser signal detection within Code Division Multiple Access systems, CDMA.

He is currently a Head of Works and Senior Scientific Researcher at the National University of Science and Technology Politehnica of Bucharest, Romania, Faculty of Automatic Control and Computers. His main research interests areas include e-services development and providing through 5G networks, mobile and wireless communications networks, discrete event dynamic systems, service oriented architectures, cyber physical systems, internet of things, smart cities, intelligent systems, GPS/GIS, automatic vehicle location. He leaded several research and development projects in these domains. He is one of the founding members and representatives of the Romanian working group for the European Technology Platform for communications networks and services NetWorld2020 ETP, former European Technology Platform for Mobile and Wireless Communication – e-Mobility. He is author or co-author of more than 30 research papers presented and published in proceedings of international conferences and journals. He presented scientific papers at conferences organized by the Wireless World Research Forum – WWRF, International Association for Development of the Informational Society – IADIS, at Imperial College of London, etc. He is author of two books and book chapters about digital communications, CDMA systems and e-business services. He has a significant consulting and assessment activity for R&D projects, funded through EU and Romanian financial resources.

• Eugen Pop, Miruna-Elena Iliuță, Nicolae Constantin, Daniela Gîfu, Alexandru Dumitrascu “Interoperability Framework for Cyber-Physical Systems Based Capabilities” – 24 th International Conference on Control Systems and Computer Science – CSCS24  May 24-26, 2023, WOS is expected https://cscs24.hpc.pub.ro/wp-content/uploads/CSCS24-2023_final_program.pdf

  Miruna – Elena Iliuță Eugen Pop; Mihnea – Alexandru Moisescu;Traian – Costin Mitulescu A Digital Twin Framework for Applications in Ophthalmology; 2024 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) 16-18 May 2024

  https://ieeexplore.ieee.org/document/10554084

  Pop Eugen, D. Gîfu and M. A. Moisescu, “Cyber-Physical Systems Based Business Models,” 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2022, pp. 1-6, doi: 10.1109/AQTR55203.2022.9802061. WOS:000890261900046

  – Eugen Pop, S. Pușcoci „Considerations Regarding E-services development platforms for Smart Cities”  at the 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI),   Bucharest, 25-27 June 2020 DOI: 10.1109/ECAI50035.2020, ISBN978-1-7281-6843-2 ISSN2378-7147,

  WOS:000627393500123

I am a passionate computer enthusiast with extensive programming experience across various domains. My expertise spans web development, systems programming in Linux, embedded Linux, and microcontroller programming. With many years of teaching in these domains, I am dedicated to expanding my knowledge and sharing my expertise with others.

“I am not a visionary. I’m an engineer. I’m happy with the people who are wandering around looking at the stars but I am looking at the ground and I want to fix the pothole before I fall in.”
― Linus Torvalds

• D. Trancă, F. Stancu, R. Rughinis and D. Rosner, “SiloSense: ZigBee-based wireless measurement system architecture for agriculture parameter monitoring,” 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), Barcelona, 2017, pp. 0330-0335.
  https://ieeexplore.ieee.org/abstract/document/8102613
• Velciu V., Stancu F., Chiroiu M. (2019) HiddenApp – Securing Linux Applications Using ARM TrustZone. In: Lanet JL., Toma C. (eds) Innovative Security Solutions for Information Technology and Communications. SECITC 2018. Lecture Notes in Computer Science, vol 11359. Springer, Cham
  https://link.springer.com/chapter/10.1007/978-3-030-12942-2_5
• R. Tataroiu, F. Stancu and D. Tranca, “Energy Considerations Regarding Transport Layer Security in Wireless IoT Devices,” 2019 22nd International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2019, pp. 337-341.
  https://ieeexplore.ieee.org/abstract/document/8745214
• F. A. Stancu, D. C. Tranca and M. Chiroiu, “TIO – Secure Input/Output for Intel SGX Enclaves”, 2019 International Workshop on Secure Internet of Things (SIOT)
  https://ieeexplore.ieee.org/abstract/document/9637105/
• F. A. Stancu, R. Rughinis, D.C. Tranca, I.L. Popescu, “Trusted Industrial Modbus Firewall for Critical Infrastructure Systems”, 2020 RoEduNet (19th RoEduNet Conference: Networking in Education and Research)
  https://ieeexplore.ieee.org/abstract/document/9324884

Associate Professor Florin Daniel ANTON obtained his MSc. degree in Automatic Control in 2003, and the Ph.D. degree in “Automatic Control” in 2008 of the University Politehnica of Bucharest, Faculty of Automatic Control and Computers. Socrates scholarship at the “Université de Valenciennes et du Hainaut-Cambrésis (UVHC)”, ENSIAME faculty (2003). Since 2003 he works at the University Politehnica of Bucharest, Faculty of Automatic Control and Computers where he teaches courses and laboratory classes for: Robot Control Systems, Artificial Intelligence in Robotics and Equipments and Systems for Industrial Robot Control. Scientific Director of four national research grants, and team member in over 20 scientific projects in national and international R&D programs. Author and co author of over 70 scientific papers in the field of robotics, artificial vision, distributed information systems, high availability and fault-tolerant systems, disaster recovery published in national and international monographs, journals and conference proceedings. System engineer and Linux trainer in the IBM Linux Competency Centre in Bucharest, he received the RedHat Certified System Engineer diploma in 2008.

“A partnership, by definition, serves both partners, without domination or unfair advantage.” (John F. Kennedy)

• ANTON, F.D, IONITA, A.D, (2021). Cloud-Enabled Modeling of Sensor Networks in Educational Settings. In: Pop, F., Neagu, G. (eds) Big Data Platforms and Applications. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-38836-2_11, ISBN: 978-3-030-38836-2
• ANTON, FD., BORANGIU, Th., RAILEANU, S., ANTON, S., (2020). Cloud-Based Digital Twin for Robot Integration in Intelligent Manufacturing Systems, pp. 565-573, Springer International Publishing, 2020-06-01, DOI:10.1007/978-3-030-48989-2_60
• Anton, F., Anton, S., Raileanu, S., Borangiu, Th. (2016). Optimizing Trajectory Points for High Speed Robot Assembly Operations, in Borangiu, Th. (Ed). Advances in Robot Design and Intelligent Control, Springer Series Advances in Intelligent Systems and Computing, no. 371, Chapter 13, p. 127-135, DOI: 10.1007/978-3-319-21290-6_13, Springer, ISBN 978-3-3-319-21289-0