Find Academic Supervisors

• Automotive Electronics
• Real-Time Systems
• Control System Diagnostics
• +3 more

Laurentiu Dimitriu is a Professor at the Gheorghe Asachi Technical University of Iasi , affiliated with the Faculty of Electrical Engineering. His research focuses on Automotive Electronics , Real-Time Systems , and Control System Diagnostics , with significant contributions to microprocessor-based control systems and sensor technology. Teaching: Power Supplies and Circuits, Electronic Measuring and Control Devices, Automotive Electronics Contact: dimitriu@etc.tuiasi.ro Research Interests span automotive control systems, thermal engine management, and fuzzy logic applications in engine optimization. His work addresses hardware/software co-design for microprocessor control units, fuel efficiency, and cooling systems. Engineering Trends in his publications highlight real-time communication protocols, sensor diagnostics, and airflow control mechanisms. Over 84 works (including books and patents) demonstrate his expertise in integrating embedded systems with automotive engineering. Scientific Contributions include 14 invention patents for electroacupuncture devices, engine control systems, and sensor technologies. His 1995 book Sisteme electronice de control pentru automobile remains a seminal reference in automotive electronics. Collaborations extend to INMT Bucharest, Transloc R.A. Botosani, and academic-industrial partnerships for real-time engine testing systems.

Andreea VescanView profile

Associate Professor

• Software Engineering
• Component-Based Embedded Systems
• Formal Methods
• +4 more

Dr. Andreea Vescan serves as an Associate Professor in the Department of Computer Science at the Faculty of Mathematics and Computer Science, Babes-Bolyai University in Cluj-Napoca, Romania. With over 19 years of academic experience, she has progressed through the ranks from Laboratory Assistant to her current position, which she has held since 2017. Education: PhD in Software Engineering (2004-2008), Babes-Bolyai University, Cluj-Napoca, Romania MSc in Component-Based Programming (2003-2004), Babes-Bolyai University, Cluj-Napoca, Romania BSc from Department of Computer Science (1999-2003), Babes-Bolyai University, Cluj-Napoca, Romania Dr. Vescan's research primarily focuses on Software Engineering, with specialization in Component-Based Embedded Systems, Formal Methods, and Software Systems Verification and Validation. Her work bridges theoretical foundations with practical applications, particularly in software testing. She has developed significant research in applying artificial intelligence techniques to software testing problems, with emphasis on test case prioritization using neural networks and rough sets. Her research has practical implications for continuous integration environments and has been presented at numerous top-tier software engineering conferences. She leads the TESTUM Research Group at Babes-Bolyai University, which focuses on fundamental, applicative, and interdisciplinary research at the intersection of Software Testing, Software Metrics, Software Teams, Software Project Management, Artificial Intelligence, and Computer Science Education. The group's name symbolizes a thorough approach to testing and collaboration across these domains. Dr. Vescan has extensive academic service experience, serving on program committees for prestigious conferences including ICSE, ASE, FSE, ISSTA, and others. She has also served as a reviewer for top journals such as Empirical Software Engineering and Journal of Systems and Software. Her teaching portfolio spans from introductory programming courses to advanced software engineering topics. Since 2013, she has collaborated with IT companies to deliver courses on computational models for embedded systems, effectively bridging academic theory with industry practice.

• Fuzzy Logic
• Networks and Communications
• Mobile Systems
• +3 more

Doru TODINCA is an Associate Professor at the Polytechnic University of Timisoara , affiliated with the Faculty of Automatic Control and Computers and the Computer Science department. His research focuses on fuzzy logic systems , networks and communications , and mobile systems , with particular emphasis on applications in cellular networks and fuzzy automata. He earned his Dr. Eng. degree in 2005 with a thesis on resource allocation in GPRS/EGPRS networks , supervised by Dr. Eng. Ştefan HOLBAN. His work bridges theoretical fuzzy logic with practical network challenges, including resource optimization and service composition. Notable contributions include algorithms for network selection, fuzzy inference systems for diabetic management, and VHDL frameworks for automata modeling. His research has been published in venues such as OMNeT++ simulations and IEEE conferences. Education: PhD (2005), Polytechnic University of Timisoara Awards: Merit Award 2025 He organizes events like the Mobile Applications Student Contest (SCMUPT) and contributes to workshops on secure data transmission solutions. His lab focuses on embedded systems, fuzzy logic controllers, and wireless communication protocols.

• Electrical Engineering Education
• Fuzzy Logic Systems
• Power Systems Analysis
• +3 more

Cristina Vatavu is a Lecturer in the Department of Electrical Engineering at Gheorghe Asachi Technical University of Iași's Faculty of Electrical Engineering. Her research spans electrical engineering education innovations, fuzzy logic systems, power analysis, and signal processing. She actively participates in student scientific communications sessions and coordinates competitions in theoretical electrical engineering applications. Research interests focus on pedagogical improvements through simulation tools (OrCAD), nonlinear device analysis, and practical training methodologies. Publications demonstrate strong emphasis on optimizing educational approaches and control systems through fuzzy logic algorithms. Articles reveal consistent focus on engineering education enhancement (2018-2019), alongside deeper technical work in fuzzy logic applications (2002-2005) and signal/power analysis (2005-2016).

• Tribology
• Automotive Engineering
• Machine Learning
• +3 more

George Balasoiu is a Consultant Lecturer at the Faculty of Engineering, Universitatea „Alexandru Ioan Cuza” din Galați, contributing to academic and research activities in automotive engineering and tribology. His work integrates experimental studies with advanced computational methods, focusing on optimizing mechanical systems for safety and environmental impact. Research interests include tribology, brake pad materials, machine learning applications in automotive components, composite materials, and pollution reduction in transportation. His studies often employ artificial neural networks, statistical analysis, and simulation software like Simcenter Amesim. Recent publications highlight trends in applying machine learning to optimize brake pad properties, clutch disc friction materials, and alternative fuel consumption while addressing environmental health impacts. Collaborative work with Arduino-based sensors and thermal behavior studies of brake discs further underscores his technical expertise. As of the provided data, no scientific awards or formal student advising records are documented. The absence of detailed information about labs or teams suggests a focus on individual research contributions within the university framework.

Petru Florin MihanceaView profile

Associate Professor

• Software Engineering
• Formal Verification and Testing
• Object-Oriented Design
• +5 more

Petru Florin Mihancea is an Associate Professor at the Department of Computers, Faculty of Automation and Computers, Politehnica University of Timisoara. He holds a Dr. Eng. degree and is responsible for teaching Object-Oriented Programming and Software Engineering Fundamentals courses. Dr. Mihancea graduated from "Emanuil Gojdu" Highschool in Oradea, Romania in 1998 and began his software engineering studies at the Politehnica University of Timisoara the same year. In 2002, he won the "Best Software Engineer" award at the first LOOSE competition, which led to him joining the LOOSE Research Group. He defended his Ph.D. Thesis titled "A Novel Client-Driven Perspective on Class Hierarchy Understanding and Quality Assessment" with "Cum Laude" honors in 2009 under the supervision of Dr. Eng. Ioan JURCA. His primary research interests focus on software engineering, particularly in software quality assessment, program analysis, formal verification and testing, object-oriented design, and software maintenance and evolution. Dr. Mihancea has developed various code analysis tools that have been integrated into industrial products, demonstrating the practical impact of his research. His work often bridges the gap between theoretical research and practical applications in software development. Analysis of Dr. Mihancea's recent publications reveals a consistent focus on software quality assessment and program analysis. His research spans from fundamental aspects of object-oriented design to practical tools for detecting code issues and improving software security. A notable trend is his work on creating extensions for commercial analysis tools like CodeSonar and BTC EmbeddedPlatform, showing how his research directly contributes to industry practices. His publications also demonstrate expertise in both theoretical aspects of software engineering and practical tool development. Best Software Engineer award at the first LOOSE competition Dr. Mihancea has been involved in various research projects throughout his career. Notably, as a member of the eAustria Research Institute, he participated in the Spacios project, developing tools for verification of security properties of web applications. He has also worked on hardware research projects, developing tools for circuit customization and generation. His current research focuses on methods and tools for continuous quality assurance in complex software systems. He has collaborated with industry partners to develop code analysis products for automatic detection of potential bugs, demonstrating the practical impact of his research. His work has been acknowledged by PostgreSQL leaders for its contribution to their system. Dr. Mihancea is affiliated with the LOOSE Research Group and has been involved with the eAustria Research Institute. His work often involves developing analysis instruments and program investigation techniques, with several of his research activities being integrated into industrial products.

Dan Marius DobreaView profile

Assistant Professor

• Virtual Reality
• Medical Electronics
• Pattern Recognition
• +5 more

Dan Marius Dobrea is an Assistant Professor at the Technical University of Iasi, specializing in interdisciplinary research at the intersection of Virtual Reality, Medical Electronics, and intelligent systems. His work bridges advanced computational methods with practical applications in transportation monitoring, sensor design, and brain-computer interfaces. University: Technical University of Iasi Academic Rank: Assistant Professor Research interests span UAV systems, deep learning algorithms, and neuro-fuzzy networks. Recent publications highlight real-time tracking solutions for drones, pothole detection in road infrastructure, and sensor-based gesture recognition systems. His focus on lightweight AI architectures for embedded platforms demonstrates a commitment to resource-efficient technologies. Article trends reveal expertise in: Unmanned Aerial Vehicles (UAVs) Real-time computer vision Deep learning for infrastructure monitoring Human-computer interaction via inertial sensors Signal processing for biomedical applications GPU-accelerated algorithm optimization

• Automating Design and Diagnosis of Information Systems
• Computer Graphics
• Web Technologies

Konstantin Nikolaevich Kasyan serves as Associate Professor at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies at Zaporizhzhia National Technical University, where he has maintained academic activity since 1998. He graduated with honors from Zaporizhzhia Machine-Building Institute's Faculty of Electronic Engineering in 1993, specializing in Radio Engineering with qualification as Radio Engineer. His Candidate of Sciences degree (defended 1998/1999) established his expertise in diagnostic methodologies for electronic systems. His research spans three core domains: automating design and diagnosis of information systems, computer graphics methodologies, and web technologies. This interdisciplinary focus manifests in practical applications ranging from hardware diagnostics to smart home systems. His work demonstrates consistent evolution from foundational electronics reliability research in the 1990s toward contemporary IoT and computer vision applications. His publication trajectory reveals distinct chronological phases: 1990s-2000s concentrated on electro-radio diagnostics and reliability engineering; 2000s-2010s expanded into computer graphics and text recognition; while 2010s-2021 shifted toward IoT integration, smart home technologies, and machine learning applications. This progression reflects both technological advancements and his adaptability across computing subfields. Kasyan teaches modern Internet technologies, computer graphics, computer systems design, and computational methods in scientific research, directly translating his research into pedagogical practice. His academic presence is maintained through Scopus, Web of Science, Google Scholar, and ORCID profiles, indicating active scholarly engagement despite the absence of formal awards or documented grants in available records.