جستجوی استاد راهنمای دانشگاهی

• 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

Stavros Vologiannidisمشاهده پروفایل

استادیار

• Control Theory
• Robotics
• Machine Learning
• +۳ مورد دیگر

Stavros Vologiannidis serves as an Assistant Professor in the Department of Informatics, Computer and Telecommunications Engineering at the International University of Greece. His academic career spans both teaching and research in control theory, robotics, and machine learning applications. Previously, he was associated with the Mathematics Department at Aristotle University of Thessaloniki where he completed his education and conducted postdoctoral research. Education: B.Sc. in Mathematics from Aristotle University of Thessaloniki (1997) Ph.D. in Control Theory from Aristotle University of Thessaloniki (2005) with dissertation titled 'ALGEBRAIC-POLYONYMICAL COMPUTING METHODS IN CONTROL THEORY' Dr. Vologiannidis' research focuses on Classical and Intelligent Control Theory, Robotics, and Machine Learning, with particular expertise in polynomial matrices and automatic control systems. His work bridges theoretical mathematics with practical engineering applications, especially in educational robotics and industrial control systems. He has developed several educational platforms including EUROPA, a ROS-based educational robot for teaching sensor integration and data acquisition. His publication record shows a clear evolution from theoretical control systems research toward applied machine learning and educational technology. Recent work demonstrates increasing focus on practical applications of AI in education, urban feature recognition, industrial monitoring, and robotics education across multiple educational levels from middle school through university. His research combines mathematical rigor with real-world implementation. Scientific Recognition: Excellence Scholarship in the 'Excellence Scholarships 2010' program of the Research Committee Total citations exceeding 250 with Scopus H-index of 9 Dr. Vologiannidis has secured numerous research grants and led multiple projects including 'Rapid Earthquake Damage Assessment Consortium – REDACt', 'Predictive Maintenance 4.0', and 'Development of computational methods for optimization of eigenvalue assignment problems'. He has collaborated extensively with institutions across Europe including UTIA Foundation in Prague and has participated in EU-funded projects like GALENOS and GN4-1 GÉANT Research and Education Networking. His laboratory work centers around the EUROPA educational robotics platform and the StreetScouting urban feature detection system, both of which integrate hardware, software, and educational applications. These projects demonstrate his commitment to translating theoretical research into practical educational and industrial tools.

Adrian Spătaruمشاهده پروفایل

مدرس

• Cloud Computing
• Distributed Systems
• Edge Computing
• +۴ مورد دیگر

Adrian Spătaru serves as a Lecturer at the Faculty of Mathematics and Computer Science, West University of Timisoara, Romania, with his office located in room 058. He maintains active academic engagement through direct contact channels including email (adrian.spataru@e-uvt.ro) and phone ((0256) 592 157), reflecting ongoing institutional affiliation and research activities within computer science. His research centers on the integration of edge, cloud, and high-performance computing resources within the cloud continuum framework. Key focus areas include service orchestration, resource management, blockchain applications for decentralized systems, and AI-driven optimization of cloud infrastructures. His work addresses critical challenges in heterogeneous platform integration, fault tolerance, and predictive maintenance across large-scale distributed environments, with notable contributions to container deployment and accelerator-aware application specification. Analysis of his publication trends reveals sustained emphasis on the edge-cloud-HPC continuum since 2018, evolving toward intent-based AI orchestration and heterogeneous hardware integration in recent works. His research bridges theoretical distributed systems concepts with practical applications in environmental monitoring (solar forecasting, freshwater quality assessment) and industrial cloud reliability, demonstrating both academic rigor and real-world impact. No scientific awards are documented in the provided institutional information. Details regarding student supervision, research grants, or laboratory affiliations are not specified in the available materials. Current research directions appear focused on advancing the edge-cloud-HPC continuum through heterogeneous platform integration, with 2025 publications indicating active development in this domain.

• GIS Applications
• E-Learning Systems
• Mining Safety
• +۳ مورد دیگر

Dr. Lupu-Dima Lucian is an Associate Professor at the University of Petrosani's Faculty of Mining, Department of Mining Engineering, Surveying and Construction. His research focuses on GIS applications in risk management, educational technology, and mining safety. He has extensively studied e-learning systems during the pandemic and institutional reforms in higher education. Education: Ph.D. in relevant fields (university unspecified). His work integrates geospatial technologies with public health, disaster management, and organizational strategies. Over 20 years of academic contributions include pioneering studies on flood risk modeling, ERP systems in mining, and innovative training methods for workforce requalification. Research emphasizes interdisciplinary solutions for complex challenges: GIS-based disaster preparedness frameworks Educational resilience during crises Management systems for mining safety Articles highlight trends in: Hybrid educational models Geospatial policy applications Public administration efficiency Recent work explores post-pandemic educational systems and mining sector innovations. Labs/Teams: Involved in development of e-learning platforms at University of Petrosani and GIS-based solutions for Hunedoara County administration.

• Geodesy
• Astronomical Geodesy
• GIS
• +۷ مورد دیگر

Paul Daniel DUMITRU is an Assistant Professor at the Technical University of Civil Engineering Bucharest (UTCB), Faculty of Geodesy. With a PhD awarded in 2011, he has established himself as a prominent researcher in geodetic sciences, having won the UTCB Award for "Researcher of the Year at the Faculty of Geodesy" three consecutive years (2017-2019). His research focuses on: Geodetic network design (satellite, classical and combined) GNSS and classical geodetic measurements Permanent GNSS station networks Astro-geodetic measurements for vertical deviation determination Coordinate transformations and quasi-geoid modeling GIS database design and geodetic application development DUMITRU's recent publications reveal a strong focus on applying space geodesy to practical problems, with significant work on quasi-geoid modeling using GOCE mission data, validation of satellite radar interferometry for landslide monitoring in the Carpathian regions, and development of CCD-based instruments for vertical deviation measurements. His research demonstrates consistent innovation in measurement techniques with applications spanning disaster management, infrastructure protection, and precision agriculture. His scientific contributions have been recognized with multiple awards, including: UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2017) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2018) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2019) DUMITRU has managed research projects with competitive funding, having won 4 projects through competition (PNII, PNIII) as Project Director or Project Partner Responsible. His work spans geodesy, geospatial analysis, and the application of space technologies to practical problems in civil engineering, disaster management, and agriculture. He has developed applications to automate geodetic works using programming languages including C++, MATLAB, and Python, demonstrating strong technical skills alongside his domain expertise in geodesy.

Cristian Mihaescuمشاهده پروفایل

مدرس

• Computer Science
• Machine Learning
• Distributed Systems
• +۳ مورد دیگر

Cristian Mihaescu is a Lecturer at the Department of Computer Science and Engineering (DCTI), University of Craiova, within the Faculty of Automatic Control, Computers and Electronics. He is actively involved in teaching and research related to machine learning, distributed systems, and educational data mining. Teaching: Data Structures and Algorithms, Parallel and Distributed Algorithms, Machine Learning, Distributed Systems Engineering Research Focus: Machine learning applications in education, social network analysis, and compiler optimization Technological Interests: Microservices, data mining, and intelligent system design

• Signal Processing
• Wavelet Analysis
• Image Processing
• +۳ مورد دیگر

Prof. Dr. Ing. Alexandru Isar is a Full Professor at the Department of Communications, Faculty of Electronics and Telecommunications, Politehnica University of Timișoara. He holds academic ranks since 1990 (Adjunct Professor), 1995 (Associate Professor), and 1999 (Full Professor). His research focuses on signal processing, wavelet analysis, and medical imaging. He has advised 5 Ph.D. students and currently supervises 2 doctoral candidates. Isar has published extensively in IEEE journals and authored books on time-frequency representations and network security. **Education**: Ph.D. in Engineering (1993), supervised by Prof. Eugen Pop. Completed postdoctoral research at Telecom Bretagne, France (2003). **Grants**: European Space Agency-funded projects (2013-2017) and national grants (IDEI 2009-2011). **Research Directions**: Introduced time-frequency representations and wavelet theory applications. **Notable Contributions**: Inventions in ultrasonic control systems (1987), development of the Hyperanalytic Wavelet Transform (2008), and SAR/SONAR image denoising algorithms. **Administrative Roles**: Deputy Dean (2001-2004), Department Director (2012-2020). **Collaborations**: European Space Agency projects, international conferences (Brest, Bordeaux), and peer reviews for IEEE journals. His work bridges theoretical signal processing with practical applications in healthcare and telecommunications.

Petru Adrian COTFASمشاهده پروفایل

استاد

• Renewable Energy Systems
• Hybrid Energy Systems
• IoT in Energy Monitoring
• +۶ مورد دیگر

Prof. Petru Adrian COTFAS holds a position as Professor in the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, Technical University of Brașov (UNITBV). His work focuses on advancing renewable energy systems, hybrid energy technologies, and IoT-based monitoring solutions. He leads research on photovoltaic cell optimization, thermoelectric generator performance, and cybersecurity in smart energy systems. His contributions include developing virtual instrumentation frameworks (e.g., LabVIEW-based tools) and experimental setups like the RELab system for studying solar/wind energy dynamics. Research Interests: Characterization of renewable energy systems (hybrid photovoltaic-thermoelectric configurations) IoT integration for remote energy monitoring and control Metaheuristic algorithms for parameter extraction in solar cells Cybersecurity resilience for smart energy infrastructure Energy efficiency in industrial systems (e.g., AHU optimization) Key Contributions: Prof. COTFAS has pioneered studies on dust impact mitigation for solar panels, developed novel methods for concentrated solar power systems, and addressed cybersecurity vulnerabilities in IoT-enabled energy grids. His work bridges theoretical models (e.g., multi-junction solar cell theory) with practical implementations like FPGA-based remote laboratories. Over 60 peer-reviewed articles since 2016 showcase his interdisciplinary approach to energy sustainability and technological innovation.

Abdel Salam Mahmoudمشاهده پروفایل

دانشیار

• Epidemiological studies
• Research study design
• Data analysis
• +۹ مورد دیگر

Dr. Abdel Salam Mahmoud is an Associate Professor of Preventive Medicine at the College of Veterinary Medicine, University of Tripoli . His career spans roles as a Teaching Assistant , Lecturer , and leadership positions in quality assurance, including Head of the Quality and Performance Evaluation Office (2019-2020). He contributed to the University of Tripoli's ISO 9001:2015 certification and served in national and international committees like the WHO Technical Assessment Team and National Authority for Genetic Research and Analysis . His research interests focus on epidemiological studies , vector-borne viral diseases , transboundary animal diseases , and COVID-19 pandemic dynamics . He has published 19 articles since 2016, with recent work analyzing SARS-CoV-2 spatiotemporal patterns , vitamin D deficiency , and mitochondrial enzyme thermodynamics , emphasizing interdisciplinary approaches in veterinary epidemiology and public health . Dr. Mahmoud has led or participated in quality improvement initiatives , epidemiological surveillance , and health system evaluations . His collaborations include the WHO Early Warning Alert and Response Network (EWARN) , National Centre for Animal Health (Libya) , and the Libyan Research Team (LRT) for COVID-19 . His work bridges veterinary virology , zoonotic disease control , and health system accreditation .

Andrei Asănduleseiمشاهده پروفایل

مدرس

• Prehistoric archaeology
• Landscape archaeology
• Geophysics in archaeology
• +۳ مورد دیگر

Dr. Andrei Asăndulesei serves as a University Lecturer in Archaeology at Alexandru Ioan Cuza University, Iași, Romania, and holds a Senior Researcher position at ICI. He coordinates the ARHEOINVEST Center, leading initiatives in non-invasive archaeological methodologies and international collaboration across 10+ countries including Iraq, Azerbaijan, and the North Caucasus. His research specializes in prehistoric settlement pattern analysis through integrated geophysical techniques, aerial imaging interpretation, and LiDAR/TLS numerical modeling. Key interests include landscape archaeology, archaeological geophysics, and GIS applications for understanding ancient community-environment interdependencies, with fieldwork spanning complex sites across Eastern Europe and the Middle East. Dr. Asăndulesei coordinated a UEFISCDI research grant (2014-2017) titled ‘Non-destructive Investigations in Complex Archaeological Sites,’ developing integrated models for cultural heritage research. His international collaborations include multi-institutional teams from Germany, Austria, France, and Australia, with field projects in Kurdistan, Georgia, Russia, and Moldova. As ARHEOINVEST Center Coordinator, he directs technological innovation in archaeological prospection, emphasizing non-invasive methods for immovable cultural heritage preservation through advanced geospatial analysis and remote sensing applications.

Ioana Cristina PLAJERمشاهده پروفایل

مدرس

• Image processing
• Multispectral imaging
• Artificial Intelligence
• +۷ مورد دیگر

Ioana Cristina PLAJER is a Lecturer at the Department of Mathematics and Computer Sciences, Faculty of Mathematics and Computer Sciences, Transilvania University of Brașov. Her work focuses on image processing, multispectral imaging, artificial intelligence, machine learning, formal languages, and compiler design. She has contributed to both theoretical and applied research, including advancements in spectral data analysis, medical imaging segmentation, and automata theory applications in diverse fields like dog breeding risk assessment and game design. Dr. PLAJER's research explores the intersection of computational methods and real-world challenges, particularly in remote sensing, medical diagnostics, and compiler optimization. Her publications span topics such as satellite data fusion, neural cellular automata for texture synthesis, and deep learning models for improving X-ray angiogram quality. She actively participates in international conferences, presenting work at venues like the IEEE Emerging Technologies and Factory Automation (ETFA) and the International Symposium on Signals, Circuits and Systems (ISSCS). Her technical contributions include developing algorithms for NDVI computation from hyperspectral imagery, creating datasets like DACIA5 for agricultural monitoring, and advancing techniques for tumor segmentation in CT scans. These efforts highlight her commitment to bridging algorithmic innovation with practical applications in healthcare and environmental science.

Florea Adrianمشاهده پروفایل

دانشیار

• Environmental Engineering
• Geology
• Mining Technology
• +۴ مورد دیگر

Associate Professor Florea Adrian is affiliated with the Faculty of Mining at the University of Petroșani, specifically within the Department of Environmental Engineering and Geology, where he serves as Deputy Department Manager. His research focuses on environmental and geotechnical challenges in mining regions, including air quality management, subsidence phenomena, and tailings/waste dump stability. He has contributed to interdisciplinary projects addressing pollution control, geomechanical modeling, and sustainable post-mining land use. His work integrates advanced methods such as computer-aided design for mine planning and geospatial data analysis. Key research interests include decarbonization strategies for traditional coal mining areas and the environmental impact of industrial activities like waste burning. Publications highlight innovative solutions for mine closure management and legal frameworks for energy resource quality. Notable projects include studies on CO2 storage risks, ophiolitic rock utilization in construction, and phytoremediation of contaminated sites. Florea Adrian’s research addresses both technical challenges and policy implications, emphasizing practical applications for ecological reconstruction and community resilience in mining-dependent regions.

Clementina Moldovanمشاهده پروفایل

دانشیار

• Environmental Engineering
• Coal Combustion and Emissions
• Explosive Atmospheres Safety
• +۳ مورد دیگر

Clementina Moldovan is an Associate Professor in the Department of Environmental Engineering and Geology at the Faculty of Mining, Politehnica University of Timişoara. Her research focuses on environmental safety, industrial emissions, and explosion protection systems in hazardous environments. She has contributed extensively to understanding coal combustion byproducts' environmental impacts, air quality monitoring, and electrical equipment safety standards in explosive atmospheres. Her work integrates computational modeling (e.g., CFD simulations for indoor air pollution) with geospatial analysis (e.g., hot spot mapping of pollutants in Craiova). Key research areas include: 1) Development of GHG intensity metrics for industrial processes, 2) Thermal safety of equipment in explosive environments, and 3) Heavy metal contamination in atmospheric particulates. Dr. Moldovan also investigates radiation dosimetry in soils and the application of natural materials like zeolites for pollution control. Recent studies address hydrogen safety protocols and the adaptation of safety standards to emerging energy technologies. Her publications emphasize practical applications of research to industrial safety compliance, environmental policy formulation, and sustainable development strategies for mining regions. Current projects explore synergies between computational fluid dynamics and regulatory frameworks for hazardous environment equipment certification.

Marian Dacianمشاهده پروفایل

استاد

• Mining Engineering
• Geomechanics
• Subsidence Monitoring
• +۴ مورد دیگر

Prof. Marian Dacian is a faculty member at the University of Petroșani’s Faculty of Mining, Department of Mining Engineering, Surveying and Construction. He specializes in geomechanics, subsidence monitoring, mine stability, and salt mine exploitation. His work integrates advanced numerical modeling techniques like the finite element method to analyze underground mining structures and surface deformation patterns. His research focuses on optimizing mine operations, predicting land subsidence effects, and enhancing safety through structural reinforcement. Key projects include stability analysis of salt mines (e.g., Slănic Prahova, Ocnele Mari), coal mine subsidence in the Jiu Valley, and geophysical surveys for pillar integrity. He has extensively published on topics such as surface deformation prognosis, finite element modeling of mine structures, and topographic surveying techniques for mining areas. His contributions bridge engineering and environmental concerns, addressing sustainable resource extraction and land management in mining-affected regions.

Claudia Zahariaمشاهده پروفایل

دانشیار

• Ecology
• Freshwater Biology
• Conservation Biology
• +۶ مورد دیگر

Claudia Zaharia is an Associate Professor at the Faculty of Mathematics and Informatics, West University of Timișoara, Romania, actively contributing to interdisciplinary research spanning ecology, statistics, and mathematics. Her work integrates field-based ecological studies with advanced computational methodologies. Her research profile features two dominant pillars: Ecological Conservation : Focused on freshwater ecosystems in the Carpathian Basin, particularly examining native crayfish species (Austropotamobius) threatened by invasive species (Faxonius limosus), habitat fragmentation, and hydrological changes. Her studies investigate headwater refuges, flash-flood impacts, and phylogeographic patterns linked to plate tectonics. Statistical & Mathematical Innovation : Pioneering applications of Additive Bayesian Networks and association rules for antimicrobial resistance analysis, alongside theoretical contributions to probabilistic metric spaces and functional equations. Recent work extends into anthropometric analysis of Romanian populations. Analysis of her 2015-2025 publications reveals a distinctive interdisciplinary trajectory where ecological field data informs statistical modeling, while mathematical rigor strengthens ecological predictions. This synergy is evident in studies connecting crayfish conservation with hydrological modeling and antimicrobial resistance patterns with network theory. No scientific awards were documented in the source materials. Information regarding graduate student mentorship, research grants, or specific laboratory affiliations was not provided in the available documentation.