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Costin BadicaView profile

Professor

• Artificial Intelligence
• Machine Learning
• Blockchain
• +13 more

Costin Badica is a University Professor at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His research focuses on Artificial Intelligence , Machine Learning , Multi-Agent Systems , and Explainable AI . Position: Professor Location: Office 303, Blvd. Decebal no. 107, Craiova, Romania Contact: costin.badica@ucv.ro Professor Badica's work spans Internet of Things , Blockchain , and Intelligent Distributed Systems , with recent publications on decentralized federated learning , agent-based simulations , and emotional recommender systems . He actively contributes to academic conferences like the Balkan Conference in Informatics . Key research trends include AI explainability in job markets, privacy-preserving algorithms , and optimization of industrial systems . He also explores quantum computing applications and bio-inspired approaches in digital image evolution.

Sorin IlieView profile

Lecturer

• Agent-Based Systems
• Distributed Computing
• Software Engineering
• +4 more

Dr. Eng. Sorin Ilie is a Lecturer at the Faculty of Automatic Control, Computers and Electronics, University of Craiova (Romania). His research focuses on agent-based systems , distributed computing , and software engineering , with notable work in ant colony optimization and human-computer interaction . He has contributed to automated software development frameworks like ReLEL and Praxeme, as well as renewable energy applications in urban environments. Role: Lecturer Email: sorin.ilie@edu.ucv.ro Research Interests: Agent-based simulation for emergency scenarios Mathematical modeling of emissions in power systems Automated code generation from requirements models Application of game theory to electric vehicle rentals Swarm intelligence algorithms in distributed systems Publication Trends: His recent work spans artificial intelligence , renewable energy , and software engineering , emphasizing agent-based resource allocation , ant colony optimization , and model-driven development . He explores interdisciplinary applications in environmental management , urban mobility , and collaborative learning tools . Projects: Includes research on distributed constraint topologies, federated agent systems for environmental monitoring, and semantic logging in multi-agent architectures. His work bridges theoretical frameworks (e.g., ACODA optimization, JADE middleware) with practical implementations in disaster management and auction systems.

Anca VASILESCUView profile

Lecturer

• IoT (Internet of Things)
• E-Learning and Distance Education
• Formal Modelling of Processes
• +7 more

Anca VASILESCU is a Lecturer at the Department of Mathematics and Computer Science, part of the Faculty of Mathematics and Computer Science at Transilvania University of Brașov. Her research focuses on formal modeling of non-sequential processes, distributed systems, IoT applications in healthcare and smart living, e-learning methodologies, and cybersecurity. She has contributed to projects such as the FitPi wearable IoT solution and e-UPU emergency room triage system. Her academic work spans interdisciplinary areas including smart education technologies (Long Life Learning, Distance Learning), digital literacy, and healthcare informatics. She also explores bio-inspired architectures for wireless sensor networks and cybersecurity in IoT ecosystems. Publications highlight her expertise in machine learning for medical data processing, formal methods in hardware design, and innovative air quality monitoring systems. Her work is featured in journals like Environmental Engineering and Management Journal and conferences such as the Balkan Conference on Informatics. While no scientific awards are explicitly listed, her contributions to IoT integration in emergency scenarios and educational technology reflect impactful applied research. Advising and grants details are not provided in available materials.

Cătălin Bogdan CIOBANUView profile

Lecturer

• Computer Architecture
• SIMD Architectures
• Reconfigurable Computing
• +3 more

Cătălin Bogdan CIOBANU is a Lecturer at the Electronics and Computers Department within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on advanced computing architectures, including SIMD designs, reconfigurable systems, embedded systems, and supercomputing. He is affiliated with the university’s main campus at Politehnicii St, no 1, Brașov, România, and can be contacted via email at catalin.ciobanu@unitbv.ro or phone +40 711 928 609. His research interests revolve around optimizing computational hardware for high-performance tasks. Key areas include the design of polymorphic registers for efficient matrix operations, high-bandwidth memory systems for digital signal processors, and accelerating algorithms using AVX2 and CUDA. He has contributed to projects like the SARC architecture and the EXTRA platform for reconfigurable HPC. CIOBANU has published extensively in journals like IEEE Micro and conferences such as IEEE International Conference on Computational Science and Engineering. His work often bridges theoretical computer architecture with practical applications in embedded and supercomputing systems. No scientific awards are explicitly mentioned in the provided text. His advising activities and grants are not detailed here, but his involvement in academic research and development at the university is central to his role.

• Machine Learning
• Applications of Artificial Intelligence
• Cloud Computing
• +3 more

Teodor-Ștefan BÎLDEA is an Associate Professor at the Department of Management and Economic Informatics, Faculty of Economics and Business Administration, Technical University of Brasov. His research interests span machine learning, applications of artificial intelligence, and cloud computing. He has authored notable publications in revenue management, image processing, and operator theory. Notable works include studies on ancillary revenue optimization in pricing strategies and advanced denoising techniques for 3D imaging data. His contributions bridge economics, computer science, and mathematics. Selected publications highlight interdisciplinary research, from revenue management models to biomedical imaging analysis. No scientific awards are explicitly listed, but his work reflects significant scholarly impact. Advising and grants details are not provided in available texts. He is affiliated with the Technical University of Brasov, contributing to both academic and applied research areas.

Ioan ClejuView profile

Lecturer

• Coding Theory
• Digital Systems Design
• Computer-Aided Error-Correcting Code Design
• +7 more

Ioan Cleju is a Lecturer at the Technical University of Iasi , affiliated with the Faculty of Electronics and Telecommunications and the Department of Logic Circuits . His research spans coding theory, digital systems design, and error-correcting codes with computer-aided methods, while later works focus on AI-driven signal processing for ECG biometrics and smart traffic systems. Email: icleju@etc.tuiasi.ro Research Interests include: Computer-Aided Design of Error-Correcting Codes Multi-Distance and Cyclic Code Design PLD Circuit Applications in Coding Theory AI-Driven Sparse Signal Recovery ECG Biometric Authentication Smart Urban Mobility Systems Recent Publications highlight trends in: Machine learning for cybersecurity and traffic management ECG signal analysis using convolutional networks Dictionary learning for anomaly detection Historical document digitization with symbolic AI Multi-lane vehicle flocking algorithms

Tiberiu Dinu TeodorescuView profile

Professor

• Sensors and Actuators
• Fuzzy Logic Systems
• Speech Technology
• +3 more

Prof. Tiberiu Dinu Teodorescu is a faculty member at the Department of Electronics and Telecommunications, Technical University of Iași (TUIASI). His research focuses on interdisciplinary areas including sensor technology, fuzzy logic systems, speech analysis, IoT applications, and medical engineering. He leads a research group specializing in advanced sensor design, signal processing, and resilience engineering for critical infrastructure. His work integrates theoretical models with practical implementations in fields such as biomedical sensors, disaster management systems, and smart embedded systems. Education & Academic Background: Holds a doctoral degree (dr. ing.) in Electronics Engineering, with his thesis titled *Contributions to the Study of Cellular Neural Networks*. His academic advisor was Prof. Liviu Goras. Research Interests: Prof. Teodorescu’s work spans multiple domains: Sensor Technology: Design of capacitive, pressure, and wearable sensors with applications in healthcare and industrial monitoring. Fuzzy Logic & Systems: Development of neuro-fuzzy algorithms for medical diagnostics and system optimization. Disaster Resilience: Analyzing network resilience through probabilistic models and social media analytics. Speech Technology: Investigating formant correlations in emotional speech and clinical speech impairments. Publications: Over 50 peer-reviewed articles since 2017, focusing on interdisciplinary engineering and data science challenges. Recent work includes studies on electromagnetic compatibility in circuits, blockchain-enhanced IoT systems, and Zipf’s law applications in text analysis. Labs & Teams: Leads the Sensors and Embedded Systems Lab at TUIASI, collaborating with industry partners on wearable medical devices and smart sensor networks.

• Artificial Intelligence
• Virtual Reality
• Healthcare Technology
• +7 more

Maria Dascalu is a Professor at the University of Thessaly, Greece, and a guest lecturer at the Faculty of Engineering in Foreign Languages (FILS) at the Polytechnic University of Bucharest (UPB). Her research focuses on integrating emerging technologies like Virtual Reality (VR), Artificial Intelligence (AI), and Machine Learning into education, healthcare, and career guidance. She leads projects such as CareProfSys, an AI-driven system combining VR and ontology-based recommendations to enhance employability and neurorehabilitation. Her work also explores gamification, chatbots for career counseling, and eHealth applications. Key areas: VR applications, ontology design, education technology, and healthcare innovation Contributions include developing immersive training platforms and assistive technologies for visually impaired individuals Research trends highlight interdisciplinary approaches combining engineering, computer science, and pedagogy. Her studies on power systems and nonlinear circuits demonstrate expertise in electrical engineering. Over 80 articles span topics from AI in workplace upskilling to hackathons in STEM education. No scientific awards explicitly listed, but her extensive publication record reflects impactful contributions. Active in academic outreach, she collaborates on initiatives like Google Summer Schools and virtual training platforms for neurorehabilitation. FilS UPB affiliation highlights involvement in multilingual engineering education.

Mihai IVANOVICIView profile

Professor

• Image Processing
• Remote Sensing
• Fractal Analysis
• +3 more

Professor Mihai IVANOVICI is affiliated with the University of Transilvania in Brasov, Romania, serving in the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science . His research focuses on image processing, remote sensing, fractal analysis, and texture characterization , with applications in agriculture, biomedical engineering, and space technology. He leads projects integrating artificial intelligence into FPGA-based systems for cosmic radiation sensing and agricultural monitoring. Notable contributions include the DACIA5 dataset for crop identification and studies on vegetation indices using hyperspectral data. His work bridges theoretical analysis with practical implementations in domains like precision agriculture and satellite technology. Research Highlights: Developed fractal analysis models for soil roughness estimation and image segmentation Designed hardware accelerators for AI applications in gaming and space systems Explored EEG-based brain signal complexity linked to visual stimuli Awards: No awards explicitly listed in the provided texts. Grants & Collaboration: Active in EU-funded educational initiatives like InnEO’Space PhD for training young Earth Observation researchers. Collaborates with institutions on projects like the ATLAS New Small Wheel read-out controller ASIC. Contact: Located at Str. Institutului 10 (Corp L3) and Str. Politehnicii 1 (Corp N) in Brașov.

• Artificial Intelligence
• Machine Learning
• Information Retrieval
• +3 more

Zalán Bodó is an Associate Professor at the Faculty of Mathematics and Computer Science , Babeș-Bolyai University, Cluj-Napoca, Romania. His research focuses on Artificial Intelligence, Machine Learning, Information Retrieval, Natural Language Processing, Formal Languages, and Computer Vision . He holds an Erdős number of 4 and maintains an active presence in academic networks like Google Scholar and DBLP. His work bridges theoretical and applied computer science, with contributions to malware analysis, explainable AI, and dataset compilation. He has published extensively on topics such as graph-based malware detection, automated code generation, and medical imaging applications. His office is located at Mathematicum Building (room 207), and he can be reached via zalan.bodo@ubbcluj.ro or zalan.bodo@gmail.com .

Corneliu MandrescuView profile

Associate Professor

• Control Systems
• Electrical Engineering
• Automation
• +3 more

Corneliu Mandrescu is an Associate Professor at the Faculty of Mechanical and Electrical Engineering of the University of Petroșani, Department of Automation, Computers, Electrical and Power Engineering. His work focuses on control systems, electrical engineering, and automation, with a strong emphasis on sensorless control, motor control, and optimization techniques. He has contributed to advancements in vector control systems, Kalman filter applications, and system stability analysis. His research interests include the modeling and simulation of control systems, particularly in mining and industrial contexts, such as coal flow analysis in longwall mining systems and electric vehicle motion control. He has also explored sensor technology, transducers, and continuous process control, reflecting his interdisciplinary approach to automation challenges. Mandrescu’s publications span from foundational studies on system identification and estimator design to applied work in electrical drive systems and induction motor control. His work often integrates theoretical models with practical implementation, addressing real-world engineering problems. While no specific grants or awards are noted, his extensive publication record highlights sustained contributions to the field. He has advised no listed students, and his professional activities, including lab affiliations or ongoing projects, are not detailed in the provided text.

Bogdanffy LorandView profile

Professor

• IoT Systems
• Control Engineering
• Simulation and Modeling
• +3 more

BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.

• Criminal Law
• Criminal Sanctions
• Property Crimes
• +3 more

Yuriy Volodymyrovych Filey is an Associate Professor at the Department of Criminal, Civil and International Law at Zaporizhzhia Polytechnic National University. With over 15 years of academic experience since joining the university in 2007, he has established himself as a respected scholar in criminal law and criminology. Education: Zaporizhzhia Law Institute of the Ministry of Internal Affairs of Ukraine (2002), specialty: Law, qualification: Lawyer (diploma with honors) Candidate of Law (2006), Ivan Franko National University of Lviv, thesis: "Criminal sanctions and the practice of their application for crimes against property" Professor Filey's research focuses on criminal sanctions, legal logic, and criminal law qualification. His work bridges theoretical legal frameworks with practical judicial applications, particularly in the areas of sentencing, property crimes, and emerging digital crime challenges including deepfakes and cybercrime. He has pioneered research on applying artificial intelligence and fuzzy logic to legal decision-making processes. His scholarly output reveals a consistent evolution from traditional criminal law topics toward innovative applications of computational methods in legal reasoning, while maintaining strong engagement with contemporary criminal justice challenges. Recent work demonstrates increasing focus on digital crime phenomena and legal reform initiatives. Scientific Awards: Honorific Certificate from Zaporizhzhia City Council (2010) Gratitude from Zaporizhzhia Regional Council (2011) Gratitude from Ministry of Education and Science of Ukraine (2017) Honorific Certificate from Ministry of Education and Science of Ukraine (2018) Prestigious Honorific Certificate from Ministry of Education and Science of Ukraine (2019) Gratitude from Central Election Commission (2019) Prestigious Honorific Certificate from Zaporizhzhia Regional Council (2019) Professor Filey actively participates in academic conferences and collaborates with international researchers, particularly in the fields of legal informatics and criminal law reform. His work demonstrates a commitment to advancing Ukrainian criminal justice through scholarly research and practical application while engaging with global academic communities.

• Artificial Intelligence
• Network Administration
• Multi-agent Systems
• +6 more

Horia Popa is a Lecturer at the Faculty of Computer Science , West University of Timișoara. He has taught courses such as Artificial Intelligence , Network Administration , and Functional and Logic Programming since the 2022-2023 academic year, with additional historical courses dating back to 2011-2012. His teaching emphasizes hands-on lab work, software tools (Jess, CLIPS, WEKA), and project-based learning. Education: Not explicitly mentioned in the text. Research: Focuses on multi-agent systems, distributed constraints, asynchronous search algorithms, and system administration. Research Interests: Horia Popa specializes in Artificial Intelligence and Multi-agent Systems , particularly in asynchronous search techniques and constraint satisfaction problems. His work explores scale-free networks, nogood processors, and distributed execution environments. He also investigates Network Administration (DHCP, firewall configuration, kernel recompilation) and Knowledge Discovery through agent-based modeling. Article Trends: His publications (2001-2015) span Computer Science , Artificial Intelligence , and Multi-agent Systems . Key subfields include Asynchronous Algorithms , Constraint Networks , Protein Folding Simulation , and Kernel-Level System Management . He frequently uses NetLogo for large-scale simulations and integrates Samba/ldap for networked environments. Teaching and Projects: Students in his courses work on projects involving Jess , Prolog , and JADE . Assignments include implementing search algorithms (A*, Hill Climbing, RBFS), configuring NIS and Samba servers, and analyzing system monitoring tools like sar and top . He emphasizes practical implementation and cross-language diversity (e.g., Racket, Prolog).

• German Linguistics
• Applied Linguistics
• Theoretical Linguistics
• +4 more

Mihaela Parpalea is an Associate Professor in the Department of Theoretical and Applied Linguistics at the Faculty of Letters, Transylvania University of Brașov (UNITBV). She is actively engaged in teaching and research within the field of German linguistics and applied language studies, with particular expertise in theoretical linguistics, discourse analysis, and language pedagogy. Her research interests span multiple dimensions of linguistic inquiry: German linguistics and language structure Word formation processes in digital communication Nonverbal communication and body language contexts Postmodern reading practices and literary interpretation Gender representation in language Translation theory and intercultural transfer Language teaching methodologies and educational technology Professor Parpalea's scholarly output demonstrates consistent engagement with contemporary issues in linguistics, particularly the evolving relationship between language and digital communication. Her recent publications (2020-2022) show increasing focus on online discourse, digital communication patterns, and the adaptation of language teaching methods to new media environments. She has maintained a steady publication record since the early 2000s, with particular productivity in the last decade, indicating sustained scholarly contribution to her field. Her work appears in both specialized linguistic journals and interdisciplinary publications, bridging theoretical linguistics with practical applications in educational settings. While specific scientific awards are not documented in the available information, her extensive publication record across multiple venues suggests recognition within her academic community. Professor Parpalea has made significant contributions to German language pedagogy, developing teaching materials and exploring innovative approaches to language instruction. Her research on communicative competence, error patterns in language learning, and the conditions of verbal communication provides valuable insights for language educators working with German as a foreign language.