جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Chemical Engineering
• Process Optimization
• +۳ مورد دیگر

Elena Niculina Dragoi is a Lecturer at the Faculty of Chemical Engineering and Environmental Protection 'Cristofor Simionescu' at Gheorghe Asachi Technical University in Iasi, Romania. Her academic work integrates Artificial Intelligence and Machine Learning tools for solving complex problems in Chemical Engineering and Environmental Protection . With over 30 published papers and six active research projects, her contributions span process optimization, nanomaterials, and sustainable technologies. Teaches Applied Informatics (Years 1 & 4) and Artificial Intelligence at the Faculty of Chemical Engineering Contributes to Programming Engineering at the Faculty of Computer Science, University 'Alexandru Ioan Cuza' Engaged in interdisciplinary courses at the Faculty of Automatic Control and Computer Engineering Research Interests : Elena's work focuses on modelling and optimization (90% emphasis) of chemical processes using AI methodologies, with cross-disciplinary applications in environmental engineering (70%) and chemical engineering (95%). Her recent publications highlight innovations in: 3D-printed nanocomposite adsorbents for pollutant removal Metaheuristic optimization algorithms for industrial processes Hydrogen generation via nanocatalysts Electrochemical biosensors for environmental and health monitoring AI-driven wastewater treatment systems Green chemistry applications in pharmaceutical and dye removal

• Computational Linguistics
• Machine Translation
• Text Simplification
• +۸ مورد دیگر

Sergiu Nisioi is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest, with expertise in computational linguistics, machine translation, and text simplification. He bridges cognitive science with NLP through eye-tracking and EEG research, while also exploring sound art and digital autonomy via initiatives like HYPHA.ro. Current projects include PN-IV-P2-2.1-TE-2023-2007 (text complexity/readability), Legal Document Processing , and Europarl Dialectal Corpora Research spans computational psycholinguistics , LSTM-based translation models , and algorithmic composition for sound art His work integrates interdisciplinary methodologies, combining EEG signal processing for architecture data with the University of Architecture, and DSP for ecological projects at chlorophylla.live.

• Mathematical Analysis
• Fuzzy Set Theory
• Measure Theory
• +۵ مورد دیگر

Lect. dr. Alina Cristiana Gavriluţ is a faculty member at the Faculty of Mathematics, Al. I. Cuza University of Iaşi, Romania. Her research focuses on advanced topics in mathematical analysis, including set multifunctions, non-additive measures, fuzzy integrals, and their applications in physics and complex systems. She has authored/co-authored multiple books and over 30 peer-reviewed papers in journals like Fuzzy Sets and Systems , Entropy , and Reports on Mathematical Physics . Her work explores regularity properties of set multifunctions, integrability in non-additive settings, and interdisciplinary applications in areas like fractal information, quantum mechanics, and neurosciences. She has also contributed to theoretical frameworks connecting mathematical physics with complex systems, including studies on non-differentiable entropy and spacetime manifolds. Dr. Gavriluţ collaborates extensively with researchers in mathematics and physics, notably Maricel Agop and Anca Croitoru. Her research has implications for diverse fields, from image processing to neuronal network modeling. She actively participates in international conferences, presenting findings on set-valued integration, fractal systems, and transdisciplinary approaches to complex phenomena. Education: PhD in Mathematics from Al. I. Cuza University (year not specified). Key Areas: Mathematical analysis, measure theory, fuzzy set theory, complex systems, non-differentiable dynamics. Grants/Awards: Not explicitly listed in the provided texts, but her prolific publication record indicates sustained academic engagement. Labs/Teams: Affiliated with the Mathematics department at Al. I. Cuza University, contributing to research groups in functional analysis and mathematical physics.

• Digital Signal Processing
• Parallel Computing Architectures
• Nonlinear Dynamics
• +۳ مورد دیگر

Prof. Victor Grigoras is a faculty member at the Technical University of Iași, holding the rank of Professor. He specializes in electrical engineering and computer science, focusing on signal processing, parallel architectures, and nonlinear dynamics in power systems. His research interests include smart grid technologies, renewable energy integration, and data-driven methodologies for grid optimization. He teaches courses such as 'Semnale, Circuite și Sisteme' and 'Algoritmi și Structuri Paralele de Calcul.' His research spans over 15 recent articles (2021–2025), emphasizing advancements in smart grid automation, machine learning applications in voltage quality analysis, and optimal power flow solutions for renewable integration. Notable trends include SCADA system improvements, energy storage strategies for prosumer grids, and IoT-based energy management. His work addresses challenges in grid reliability, power quality, and future urban grid resilience under high EV adoption scenarios. Prof. Grigoras has contributed to frameworks for electric vehicle charging station placement, hydropower plant optimization via data mining, and demand response mechanisms using smart metering. His methodologies often combine clustering techniques with fuzzy logic or metaheuristic algorithms to solve complex grid problems.

Claudia Steluta Martisمشاهده پروفایل

دانشیار

• Electrical Machines Design
• Electric Traction Drives
• Electromagnetic Compatibility
• +۳ مورد دیگر

Claudia Steluta Martis is an Associate Professor at the Department of Electrical Machines, Marketing & Management , Technical University of Cluj-Napoca, Romania. Her expertise spans electrical machine design, electromagnetic compatibility, and motor control systems. Date of birth: 19 August 1967, Măcin, Tulcea, Romania Education Industrial High School, Măcin (1981-1985) Technical University of Cluj-Napoca, Electrical Engineering (1985-1990) Research interests focus on design and modeling of electrical machines , particularly doubly-salient permanent magnet motors and electric traction drives. She has contributed to electronically commutated small motor development and electromagnetic compatibility in electromechanical systems. Research projects include National Science Foundation collaborations on doubly-salient motor design, bilateral programs with Italy (University of Cassino), and grants from Romania's National Education Ministry for energy-efficient drives and real-time control systems. Professional experience includes engineering roles at SINTEROM SA and Dania Comprod SRL (1990-1996), followed by academic positions. International mobility includes Erasmus-Socrates stays at Helsinki University of Technology (1999) and University of Cassino (2000).

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +۵ مورد دیگر

Ana-Sabina Uban is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest . She earned her Ph.D. in Computer Science in 2020 under the supervision of Professor Liviu Dinu with a thesis on distributional and stylistic aspects of natural language. She teaches and coordinates courses in natural language processing, AI, and machine learning for both computer science and digital humanities students. Education: Ph.D. in Computer Science, University of Bucharest (2020) – Thesis: "Distributional aspects of natural language. Semantic and stylistic dimensions of text" Research Interests: Dr. Uban’s research is strongly interdisciplinary, bridging natural language processing , computational linguistics , psychology , and cognitive science . She explores historical computational linguistics , distributional semantics , and multilingualism , while also investigating explainability in AI models and mental health disorder detection using social media data. Research Trends & Publication Focus: Her recent publications span clinical NLP , mental health detection , historical linguistics , and multilingual cognate identification . A recurring theme is the application of advanced NLP techniques—such as transformer models, contrastive learning, and ensemble classification—to real-world problems in health, literature, and historical language study. Teaching & Student Supervision: Dr. Uban currently teaches and coordinates the following courses: Bio-medical NLP – Master’s level (English) Artificial Intelligence – Bachelor’s level for Mathematics students Practical Introduction to Machine Learning – Master’s level for Digital Humanities students Natural Language Processing 1 & 2 – Master’s labs and projects Contact: auban@fmi.unibuc.ro

• Reconfigurable systems
• System reliability
• Embedded systems
• +۴ مورد دیگر

Oana AMĂRICĂI-BONCALO is a Professor at the Computer and Information Technology Department of University Politehnica Timisoara. She holds a Dr. Habil. Eng. degree and has served as Assistant Professor, Lecturer, and Associate Professor since 2009. Her research focuses on reconfigurable systems, system reliability, embedded systems, and forward error correction with FPGA applications. Education: Engineering Degree (2006) and PhD in Computer Engineering (2009), both from University Politehnica Timisoara. She was an invited researcher at University College Cork (2012) and University of Cergy-Pontoise (2016). Since 2017, she has been an Editor for Microprocessor and Microsystems (Elsevier). Research projects include GEMSCLAIM (green energy management in mobile systems). She supervises PhD student Andrei-Bogdan MIHĂILESCU. Recent publications emphasize LDPC decoding architectures, FPGA-based solutions, and reliability assessment in quantum circuits. Notable contributions include innovations in layered decoding algorithms, memory optimization for LDPC decoders, and one-hot data representation techniques. Her work intersects VLSI design, digital signal processing, and embedded systems reliability. Event organization includes a 2024 workshop on audio-video technical solutions and participation in IEEE symposiums. She contributes to academic events like the Mobile Applications Student Contest (SCMUPT).

• Analog Integrated Circuits
• Gm-C Filters
• MOSFET Characteristics
• +۳ مورد دیگر

Dr. Neculai Cojan is an Associate Professor at the Technical University of Iasi (TUIASI), Department of Electronics and Telecommunications. His academic role includes teaching analog integrated circuits and conducting research in advanced electronic circuit design. He holds a Ph.D. in Engineering and has been actively involved in industry-sponsored projects, such as the FSM project collaboration mentioned in his work. His research focuses on analog circuit design, particularly in Gm-C filters, MOSFET-based amplifiers, and oscillator development. Notable contributions include novel implementations of oscillation-based testing methodologies and variable gain amplifier architectures. His work frequently explores integration challenges in CMOS technologies and high-frequency signal processing. Recent publications (2010-2011) emphasize structured approaches to filter design, electrically controlled components, and top-down project methodologies. His research bridges theoretical analysis with practical applications in both academic and industrial contexts. Dr. Cojan’s technical expertise is further evidenced by his involvement in circuit testing innovations and the development of industry-relevant solutions. Despite no listed awards, his sustained output in high-impact circuit design areas reflects significant contributions to the field of analog electronics.

• urban transport systems
• traffic management
• information technology in transport

Raida Igor Mykhailovych is a Senior Lecturer at the Transport Technologies Department of Zaporizhzhia Polytechnic National University's Transport Faculty. With over 25 years of academic experience since 1995, he has established himself as a specialist in urban transport systems and traffic management, with particular expertise in applying information technologies to transportation problems. His educational background includes a degree from Zaporizhia State Technical University's Faculty of Transport (1995), where he specialized in 'Organization of transportation and management in transport.' He has taught courses including 'Information systems and technologies in transport,' 'Integrated transportation systems,' 'Geographic information systems,' and 'Special methods of traffic management.' Raida's research focuses on urban transport systems, traffic management, and information technology applications in transportation. His work has examined epidemic impacts on transport infrastructure, passenger contact networks, bus transportation organization, and the environmental impact of road transport. His research demonstrates a consistent commitment to improving urban mobility through technological innovation and evidence-based analysis. Among his professional recognitions are multiple Honorary Certificates from Zaporizhzhia National Technical University for his contributions to student research guidance and scientific work, including awards in 2019, 2018, 2016, 2014, and 2013. He also received recognition from the Zaporizhzhia City Council's October District Administration in 2012 for preparing highly qualified specialists for Ukraine's transport sector. From 2005 to 2015, Raida participated in the state examination commission for the specialty 'Organization and regulation of road traffic.' His ORCID identifier is 0000-0003-3925-4692, and his Google Scholar profile is available online. Fluent in both Ukrainian and Russian, he maintains an active research profile with publications spanning over two decades.

Gabriel DANCIUمشاهده پروفایل

مدرس

• Artificial Intelligence
• Big Data Analysis
• Intelligent IoT Systems
• +۳ مورد دیگر

Gabriel DANCIU is a Lecturer at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Banat. His research focuses on Artificial Intelligence, Big Data Analysis, and Intelligent IoT Systems, with particular emphasis on machine learning applications in healthcare, embedded systems, and hardware verification. His work spans disciplines such as automated ML for medical diagnostics (e.g., arrhythmia and pneumonia detection), optimization techniques in FPGA and digital design verification, and IoT-driven environmental monitoring systems. He has contributed to advancements in functional verification using genetic algorithms, adaptive image sensor scaling, and noise pollution tracking via mobile crowd sensing. Publications highlight methodological innovations in blob separation for image segmentation, RGB-D camera scene recognition, and erythema assessment for dermatological evaluation. His research bridges computer science with practical engineering challenges, emphasizing interdisciplinary problem-solving. No scientific awards or grants are explicitly mentioned in the provided texts. He advises no formal students but collaborates on projects involving verification methodologies, AI-driven debugging, and medical imaging systems.

Simona COMANمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Fractional Order Systems
• Adaptive and Robust Systems
• +۳ مورد دیگر

Simona COMAN is an Associate Professor at the Department of Automation and Information Technology , part of the Faculty of Electrical Engineering and Computer Science at the University of Technical Education in Brașov (UNITBV). Her work focuses on advancing AI applications in medical diagnostics, fractional order systems, and adaptive control mechanisms. She leads research in areas such as cardiovascular signal processing, privacy-preserving AI, and precision medicine frameworks. Her research interests include developing robust systems for non-invasive diagnostics (e.g., heart murmurs detection via AI), enhancing cybersecurity in industrial AI deployments, and creating MATLAB-based tools for anesthesia control. She actively contributes to international conferences and collaborates on projects addressing biomedical systems modeling and stability analysis. Notable achievements include pioneering AI-driven CT scan analysis for pandemic response and co-authoring frameworks for validating AI in precision medicine. Her work bridges theoretical control systems with practical healthcare applications, emphasizing both innovation and rigorous validation standards. Dr. COMAN’s publications span journals in biomedical engineering, electrical systems, and control theory, reflecting her interdisciplinary approach to solving complex technical challenges. She maintains an active role in academic and industrial partnerships, fostering advancements in automation and information technology.

Adrian Virgil CRĂCIUNمشاهده پروفایل

دانشیار

• Electronic circuits analysis and design
• Electronic devices and circuits modeling
• Data acquisition systems
• +۷ مورد دیگر

Adrian Virgil CRĂCIUN is an Associate Professor at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brașov. His research focuses on analog electronics, electronic circuit modeling, and data acquisition systems. He has published extensively on topics like VHDL-based filter design, low-power amplifiers, and FPGA security. His work includes both theoretical contributions and practical implementations in medical electronics and embedded security systems. Education Background: No explicit education details provided in text Research Interests: Dr. CRĂCIUN specializes in electronic circuit analysis and design, with emphasis on analog systems. His work integrates hardware security (PUF-based solutions), low-power medical electronics, and advanced simulation techniques using VHDL. Recent efforts focus on optimizing power consumption in complex integrated circuits and developing robust FPGA identification methods. Grants & Collaborations: No grant information explicitly stated Labs & Teams: Participates in university-based electronics research groups focused on analog circuit design and embedded systems security.

Galea Cosminمشاهده پروفایل

مدرس

• Power Electronics
• Electronic Circuit Simulation
• Resonant Converters
• +۳ مورد دیگر

Galea Cosmin is a Lecturer at the Department of Electrical Engineering within the College of Engineering at the Technical University of Iasi , Romania. His work focuses on power electronics and converter systems, with a specialization in resonant switching technologies. Research Interests Modeling and simulation of electronic converters Resonant switching techniques Multilevel inverter design Fuzzy logic control for power systems Scientific Contributions The articles by Galea highlight advancements in three-phase inverter topologies, generalized state-space averaging methods, and fuzzy logic control. His work emphasizes improving efficiency in multilevel inverters and optimizing resonant converter simulations. Contact Email: cgalea@etc.tuiasi.ro

Radu-Mihai COLIBANمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Digital Systems Design
• Hyperspectral Image Processing
• +۴ مورد دیگر

Radu-Mihai COLIBAN is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, University of Technical Education of Braila. His research focuses on digital signal processing, digital systems design, and hyperspectral image processing with applications in remote sensing, FPGA implementations, and image segmentation. He has contributed to projects like the ATLAS New Small Wheel detector electronics and developed novel methods for hyperspectral visualization and fractal analysis. Education: PhD in Electronics/Computer Science (inferred from academic rank) Advanced training in FPGA design and signal processing techniques Research Interests: Signal Processing: Digital systems, FPGA-based implementations, and real-time signal analysis Image Analysis: Hyperspectral/multispectral data processing, segmentation algorithms, and color texture characterization Applications: Agricultural monitoring, medical imaging, and high-energy physics instrumentation Publications Trends: Recent work emphasizes hyperspectral image processing (e.g., band selection, segmentation) and FPGA-accelerated algorithms (e.g., modular arithmetic, 8b/10b encoding). His 2023-2025 publications show a focus on agricultural datasets (DACIA5), polarization-based analysis, and environmental monitoring. Lab/Teams: Involved in interdisciplinary projects combining signal processing with remote sensing and hardware design. Likely collaborates with the ATLAS experiment team and local/ international research groups in fractal analysis and image denoising.

Stoicuta Olimpiuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Associate Professor Olimpiu Stoicuta is affiliated with the Polytechnic University of Timișoara's Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering. His research focuses on advanced control systems for electrical motors, renewable energy integration, and econometric analysis of energy policies. He has extensive expertise in sensorless vector control, induction motor modeling, and optical communication technologies. Education details are not explicitly stated in the provided text, but his work indicates a strong background in electrical engineering and control systems. He has published widely on topics including adaptive observers, energy transformation systems, and underground communication solutions. His research interests span multiple domains: (1) Electrical Engineering with emphasis on motor control and power electronics; (2) Renewable Energy focusing on system integration and efficiency improvements; (3) Data Communication involving LiFi and optical networks for industrial applications; and (4) Econometric Modeling related to energy policy analysis in Romania and the EU. Recent publications (2020-2025) highlight trends in AI-driven network optimization, sensorless motor control advancements, and energy policy studies. Articles frequently address practical engineering challenges like underground communication reliability and EV autonomy enhancement. No specific awards or grants are mentioned, though his prolific publication record suggests sustained research activity. Laboratory and team involvement can be inferred through his work on robotics (exoskeleton control) and collaborative projects in industrial automation systems.