Dr. Alexandru Sorici is an Assistant Professor at UPB and a member of the AI-MAS research laboratory. Alexandru holds a Ph.D. in Computer Science from UPB and École Nationale Supérieure des Mines de Saint-Étienne (a joint thesis defended in 2015). The thesis aims to create a middleware that allows the design and programming of context-aware applications. The emphasis of the thesis is on expressiveness in modelling and reasoning, as well as on increased flexibility in configuration and implementation. The proposed system incorporates a lot of techniques from the fields of semantic web and multi-agent systems.

His research interests encompass context management, agent-oriented programming, human activity recognition, and ambient intelligence (which extends to research in assisted robotics, autonomous driving, and wearable device data analysis in a medical context). Alexandru has published over 45 research papers in international journals and conference proceedings.
Recent research activities and projects include working on context-management in Hypermedia-based Multi-Agent Systems (director of project CASHMERE), studying the predictive power of data from wearable devices and patient logs in determining the health status of patients suffering from neurological diseases (HORIZON 2020 ALAMEDA project), and working on techniques of adaptive AI applied to time series analysis and medical data as part of the AI Lighthouse project ENFIELD.
Alexandru also serves as the Secretary of the Romanian Association for Artificial Intelligence (ARIA). In this role, he has contributed to organizing several events aimed at education and raising public awareness about Artificial Intelligence, including TiCIA (Young Researchers in AI – 2015, 2016, 2018), EEML 2019, Romanian AI Days, and the AI4Highschool initiative.

“It stares you in the face. No role is so well suited to philosophy as the one you happen to be in right now” – Marcus Aurelius

◦ Profil Google Scholar: https://scholar.google.com/citations?user=XblTQSYAAAAJ&hl=en
◦ Media appearances:
▪ https://2023.frontiers.health/agenda/session/1246418
◦ Selected articles:
▪ Sorici, Alexandru, Gauthier Picard, Olivier Boissier, Antoine Zimmermann, and Adina Florea. “CONSERT: Applying semantic web technologies to context modeling in ambient intelligence.” Computers & Electrical Engineering 44 (2015): 280-306.
▪ Ghiță, Alexandra Ștefania, Alexandru Florin Gavril, Mihai Nan, Bilal Hoteit, Imad Alex Awada, Alexandru Sorici, Irina Georgiana Mocanu, and Adina Magda Florea. “The amiro social robotics framework: Deployment and evaluation on the pepper robot.” Sensors 20, no. 24 (2020): 7271.
▪ Sorici, Alexandru, Lidia Băjenaru, Irina Georgiana Mocanu, Adina Magda Florea, Panagiotis Tsakanikas, Athena Cristina Ribigan, Ludovico Pedullà, and Anastasia Bougea. “Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol.” In Healthcare, vol. 11, no. 19, p. 2656. MDPI, 2023.
▪ Nan, Mihai, Alexandra Stefania Ghiță, Alexandru-Florin Gavril, Mihai Trascau, Alexandru Sorici, Bogdan Cramariuc, and Adina Magda Florea. “Human action recognition for social robots.” In 2019 22nd International Conference on Control Systems and Computer Science (CSCS), pp. 675-681. IEEE, 2019.
▪ Nica, Andrei Cristian, Mihai Trsăcău, Alexandru Andrei Rotaru, Constantin Andreescu, Alexandru Sorici, Adina Magda Florea, and Vlad Bacue. “Collecting and processing a self-driving dataset in the UPB campus.” In 2019 22nd International Conference on Control Systems and Computer Science (CSCS), pp. 202-209. IEEE, 2019.
▪ Sorici, Alexandru, and Adina Magda Florea. “Towards Context-Based Authorizations for Interactions in Hypermedia-Driven Agent Environments-The CASHMERE Framework.” In International Workshop on Engineering Multi-Agent Systems, pp. 191-207. Cham: Springer Nature Switzerland, 2023.

“The more components a system has, the more likely it is for something to fail.”

A. Mateescu, I. -L. Stefan, D. C. Popescu, I. S. Sacala and S. Raileanu, “Learning control laws in simulated environments for motion gestures of humanoid robots,” 2023 24th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2023, pp. 344-349, doi: 10.1109/CSCS59211.2023.00061.

I am a PhD student at the National University of Science and Technology Politehnica Bucharest, Romania. Within the same university, I am also a teaching: computer programming, data structures and algorithms, and object-oriented programming. I appreciate honesty and punctuality.

“Find a group of people who challenge and inspire you, spend a lot of time with them, and it will change your life.” – Jeff Gothelf

https://www.researchgate.net/publication/372843086_A_variable_terminal_set_NMPC_construction_application_to_multicopter_stabilisation
https://www.researchgate.net/publication/377549579_On_Complexity_Reduction_in_a_Variable_Terminal_Set_Setpoint-Tracking_MPC_Scheme
https://www.researchgate.net/publication/378708843_On_the_complexity_of_computing_the_Maximal_Positive_Invariant_set

I am an Assistant Professor of Computer Science at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest. At the University Politehnica of Bucharest, I am a member of AIMAS (Artificial Intelligence and Multi-Agent Systems Laboratory), MobyLab (Distributed Systems Research Laboratory), and Database Systems Group.

I received my Ph.D. (2018) in Data Management and Text Mining from the University Politehnica of Bucharest, Romania. I hold an M.Sc. Degree (2013) in Computer Science Engineering and Information Technology from the University Politehnica of Bucharest, a B.Sc. degree (2013) in Computer Science and Mathematics from the University of Bucharest, and a B.Sc. (2011) degree in Computer Science and Information Technology Engineering from the University Politehnica of Bucharest.

In 2022, I was a Postdoctoral Researcher on the theme of Disinformation Detection at the Department of Information Technology, Uppsala University in collaboration with The Nordic Observatory for Digital Media and Information Disorder (NORDIS) one of the national hubs of the European Digital Media Observatory. During my stay at Uppsala University, I also hold a temporary teaching position.

In 2021, I was an invited researcher at the Fraunhofer Institute for Open Communication Systems (Fraunhofer Fokus) where I worked on Network-Aware Fake News Mitigation.

I was a Postdoctoral Researcher (2019-2020) in the Data-Intensive Systems group at the Department of Computer Science, Faculty of Natural Sciences, Aarhus University, Aarhus, Denmark, where I worked on Big Data Analytics for Time Series.

During my Ph.D. studies, I was an invited researcher (2015-2016) at the ERIC laboratory, Université de Lyon 2, France where I worked on Data Management, Machine Learning, and Natural Language Processing.

Excellence through Research, Development, and Innovation

–

“You must be the change you wish to see in the world”

• https://ieeexplore.ieee.org/abstract/document/9152695
• https://dl.acm.org/doi/abs/10.1145/3196494.3196527
• https://ieeexplore.ieee.org/abstract/document/9767318

Daniel-Cătălin Mitroi is a PhD student in Systems Engineering at the National University of Science and Technology POLITEHNICA Bucharest, where he is also a Teaching Assistant within the Department of Automation and Industrial Informatics. His doctoral research focuses on the development of intelligent energy management systems based on artificial intelligence techniques.

His research interests include renewable energy systems, forecasting and optimization methods, machine learning applications in energy systems, and DC microgrids. He is also involved in research activities within the HORIZON-CL5-2024-D2-01 NOVETROL project – “Novel current control for climate neutral energy infrastructure”.

“Intelligence is the ability to adapt to change.” – Stephen Hawking

• C. Mitroi, C. Nichiforov, I. Stamatescu and G. Stamatescu, “Analysis of Energy Data Forecasting Performance in Low-Voltage DC Microgrids,” 2025 29th International Conference on System Theory, Control and Computing (ICSTCC), Cluj-Napoca, Romania, 2025, pp. 31-36
• C. Mitroi, G. Stamatescu, R. Plămănescu and M. Albu, “Co-simulation of Shortcircuit Current Measurement in LVDC Systems,” 2025 9th International Symposium on Electrical and Electronics Engineering (ISEEE), Galati, Romania, 2025, pp. 1-6

Member of the Database team at Computer Science Dep., Politehnica University from Bucharest, with over 20 ys of experience in both the Univerity teaching domain and IT&C management projects in industry.

“Life is like riding a bicycle. To keep your balance, you must keep moving.” Albert Einstein

2024
Enhanced cyberphysical system with semantic technologies and machine learning to support smart farming, Nicolae Sorin CIOLOFAN, DANIEL CALIN POPEANGA, Monica DRAGOICEA, Data publicării: 2023-05-24, International Conference on Control Systems and Computer Science CSCS24

2021
A Lagrangian Backward Air Parcel Trajectories Clustering Framework, Iulia-Maria RADULESCU, Alexandru BOICEA, Florin RADULESCU, DANIEL CALIN POPEANGA, WOS: 000737308400001, Editură: MDPI, Data publicării: 2021-12-01

2020
C-SGBD – A Procedure for DBMS Performance Stability Evaluation, Daniel Calin POPEANGA, Alexandru BOICEA, Florin RADULESCU, Iulia Maria RADULESCU, Mircea Stelian PETRESCU, 36th IBIMA Conference on 4-5 November 2020 Granada, Spain. ISBN: 978-0-9998551-5-7

Density-based Text Clustering using Document Embeddings, Iulia-Maria RADULESCU, Ciprian-Octavian TRUICA, Elena Simona APOSTOL, Alexandru BOICEA, Mariana MOCANU, Daniel Calin POPEANGA, Florin RADULESCU, 36th IBIMA Conference on 4-5 November 2020 Granada, Spain, ISBN: 978-0-9998551-5-7, Published in the USA

2019
Cryptographic algorithms benchmarking: a case study, Alexandru Boicea, Ciprian-Octavian Truica, Florin Radulescu, Daniel-Calin Popeanga, Iulia Maria Radulescu, Cristina Costea, 34th IBIMA Conference, pp. xx-xx, ISBN: 978-0-9998551-3-3, Madrid, Spania, nov-2019, WOS: 000556337402056

Assistant Professor at UNSTPB, Automatic Control and Systems Eng. dept. (ACSE), with PhD in automation (Univ. Paris Saclay, 2021). His main research interests are optimization-based control and related topics with application in motion planning and fault detection and isolation. As well, he specialized in the application of set theoretic methods to robust control issues, constrained optimization problems and the coupling between motion planning and predictive control. He is (co-)author of 10 journals and conference papers.

Power is nothing without control (F. Dorfler, inControl Podcast)

Conference papers
• “Complexity bounds for obstacle avoidance within a zonotopic framework” accepted to 2019 American Control Conference(ACC), Philadelphia, PA, USA, July 10 – 12, 2019. https://doi.org/10.23919/ACC.2019.8814976
• “Navigation in a multi-obstacle environment. From partition of the space to a zonotopic-based MPC.” accepted 2019 European Control Conference(ECC), Napoli, Italy, June 25-28, 2019. https://doi.org/10.23919/ECC.2019.8796080
• “Parametrized Hyperplane Arrangements for Control Design with Collision Avoidance Constraints” accepted to the 15th IEEE International Conference on Control and Automation (ICCA19), July 16-19, 2019, Edinburgh, Scotland. https://doi.org/10.1109/ICCA.2019.8899977
• “Navigation in cluttered environments with feasibility guarantees” accepted to the 21st IFAC World Congress July 12-17, 2020, Berlin, Germany. https://doi.org/10.1016/j.ifacol.2020.12.1554
Journal papers
• “From Obstacle-based Space Partitioning to Corridors and Path Planning. A Convex Lifting Approach” accepted to the IEEE Control Systems Letters and to the 58th IEEE Conference on Decision and Control, December 11-13, Nice, France. https://doi.org/10.1109/LCSYS.2019.2922414
• “Mixed-integer Programming in Motion Planning” accepted by Annual Reviews in Control. https://doi.org/10.1016/j.arcontrol.2020.10.008
Thesis
• “Safe Navigation Strategies within Cluttered Environment.” https://tel. archives-ouvertes.fr/tel-03363948

Denis Ilie-Ablachim was born in Tulcea, Romania, in 1994. He received his B.Sc. and M.Sc. degrees from the University Politehnica of Bucharest, Romania, in 2017 and 2019, respectively. He is currently a Teaching Assistant and a Research Assistant at the Faculty of Automatic Control and Computers, University Politehnica of Bucharest, where he has worked since 2019. He is also a Ph.D. student. The main research topics involve sparse representations and kernel methods with applications in classification algorithms and anomaly detection.

”Pursue excellence in ev- erything you do.”

• Ilie-Ablachim DC, B ̆altoiu A, Dumitrescu B. Sparse Representa- tion With Gaussian Atoms and Its Use in Anomaly Detection, IEEE Open Journal of Signal Processing 2023 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10365333
• Ilie-Ablachim DC, Dumitrescu B. Classification with dictionary learning with a distance barrier promoting incoherence, 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023)
  https://ieeexplore.ieee.org/document/10285866
• Ilie-Ablachim DC, Dumitrescu B. Incoherent frames design and dictionary learning using a distance barrier. Signal Processing 2023
  Aug 1;209:109019 https://www.sciencedirect.com/science/article/abs/pii/S0165168423000932
• Ilie-Ablachim DC, Baltoiu A, Dumitrescu B. Sparse representa- tions with cone atoms, 2023 IEEE International Conference on Acous- tics, Speech, and Signal Processing (ICASSP 2023) https://ieeexplore.ieee.org/document/10095127
• Ilie-AblachimDC,DumitrescuB.ReducedKernelDictionaryLearn- ing. In 2022 30th European Signal Processing Conference (EU- SIPCO) 2022 Aug 29 (pp. 2006-2010). IEEE https://ieeexplore.ieee.org/document/9909549?signout=success

Giorgiana is a tech and education enthusiast with over 13 years of experience in organizing events in NGOs and in academia, who have helped over 100s students kickstart their careers in tech.

“You have to do your job in the moment, let your training guide you. You do what’s right, what is immediately in front of you, bravely, calmly, clearly. Whoever you are. Whatever you do.” – Ryan Holiday