Gheorghe Asachi Technical University of IasiRomania
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
Prof. Ovidiu Cârjă is a Professor of Mathematical Analysis at the Faculty of Mathematics, University of Iasi, Romania. He holds a PhD from the same university (1984) and has held academic positions since 1981, progressing from Assistant Professor (1984) to his current role. His research focuses on controllability, viability theory, and Hamilton-Jacobi-Bellman equations, with significant contributions to differential inclusions and nonlinear analysis. Education: B.Sc. Mathematics, University of Iasi (1976) M.Phil. Mathematics, University of Iasi (1977) Ph.D. Mathematics, University of Iasi (1984) Research Interests: Optimal control and time-optimal control problems Viability and invariance for differential inclusions Hamilton-Jacobi-Bellman equations Nonlinear functional analysis and semilinear systems Awards and Fellowships: Romanian Academy 'Simion Stoilow' Award (1991) Fulbright Award (UCLA, 1993–1994) NATO Fellowship (CMAF Lisbon, 1998–2002) Invited Professorships at University of Perpignan and Tor Vergata Rome Professional Activities: Editor of the Applied Analysis and Differential Equations (World Scientific, 2007) Co-author of influential books on nonlinear analysis and viability theory
Luminița-Maria BRENCI is an Associate Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Technical University of Brasov (UNITBV). Her research focuses on innovative materials, lignocellulosic panels, thermal/acoustic insulation, and wood surface quality. She is affiliated with the university's address: St. Universității, No 1, Braşov, Romania, located in Building L, Room LIII6. Contact details include phone number 0372 910037 and email brenlu@unitbv.ro. Her research interests emphasize advanced materials and processes for sustainable wood-based products, including eco-composites and waste utilization. Recent studies include thermal conductivity analysis of wood-ABS composites, surface quality of beech milling, and cultural heritage-inspired furniture design through CNC routing. Publications span 2014–2024, covering topics like particleboard optimization from sunflower seed husks and eco-composites for building insulation. No scientific awards are explicitly listed, but her work aligns with environmental and materials engineering advancements. Advising and grants details are not provided in the text. She contributes to the university’s interdisciplinary research in wood engineering and sustainable design.
Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.
Andang Sunarto is an Associate Professor affiliated with the State Islamic Institute (IAIN) Bengkulu, Indonesia and the Lepage Research Institute, Slovakia . His work bridges Numerical Analysis , Computational Mathematics , and Algorithm Design with applications in Robotics , Image Processing , and Sharia-Compliant Systems . Research Focus: Fractional Calculus, Nonlinear PDEs, GPU-Accelerated Algorithms Collaborations: International institutions including Union of Czech Mathematicians and Physicists and University of Prešov His recent publications (2021–2025) emphasize Iterative Methods for solving Time-Fractional Diffusion Equations and Porous Medium Models . He also explores Digital Islamic Education and Halal Tourism Development . Despite no listed awards, his work spans diverse domains like Mobile Banking Evaluation , Environmental Pollution Analysis , and Ethnobotanical Applications . Andang actively designs EdTech tools (e.g., Wordwall-based modules) and contributes to computational methods in Climate Modeling and Nonlinear Diffusion .
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.
Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).
Professor Andriy Volodymyrovych Karpenko is a Doctor of Economic Sciences and Professor at the Department of Economics and Customs within the Faculty of Business Technologies and Economics at National University 'Zaporizhzhia Polytechnic'. With over 14 years of academic experience since 2010, he has established himself as a prominent scholar in innovation economics, human capital development, and customs policy. Faculty of Business Technologies and Economics, National University 'Zaporizhzhia Polytechnic' Department of Economics and Customs Director of the Public Organization 'Zaporizhzhia Cluster Engineering - Automation - Mechanical Engineering' since 2020 Deputy Editor-in-Chief of the electronic periodical 'Management and Business' Member of multiple editorial boards of economic journals Professor Karpenko's research interests span innovations and innovation ecosystems, national and regional economy, economics and enterprise management, human capital and human development, and customs affairs. His work demonstrates a consistent focus on Ukraine's economic development through innovation, human capital investment, and cluster-based economic strategies, with particular emphasis on the impact of digital transformation and global challenges on Ukraine's economic landscape. His extensive publication record includes 354 scientific works, with 30 published internationally (7 in Scopus and Web of Science-indexed journals), 94 in Ukrainian professional periodicals, 27 in monographs (including one sole-authored monograph), and 203 conference theses. Recent publications (2020-2024) reveal a strong focus on Ukraine's economic resilience during wartime, cluster development strategies, human capital measurement, and innovation ecosystem management. Letter of thanks from Zaporizhzhia Regional State Administration (2012) Honorary certificates from Zaporizhzhia National Technical University (2013, 2015, 2018) Letter of thanks from Ministry of Education and Science of Ukraine (2020) Letters of thanks and Certificate of Honor from Zaporizhzhia Regional authorities and Ministry of Education (2023) Professor Karpenko actively participates in advising and grant activities, having led multiple research projects since 2014. He currently serves as the responsible executor of research topics at the Department of Economics and Customs at National University 'Zaporizhzhia Polytechnic', focusing on sustainable development of business ecosystems. His work with the Zaporizhzhia Cluster 'IAM' demonstrates strong engagement with practical applications of his research in regional economic development. His academic leadership extends to various councils and government structures, including the Coordination Council for SME Development of Zaporizhzhia City Council and the Council of Entrepreneurs of Zaporizhzhia Region, where he contributes expertise on economic policy and business development strategies.
Gheorghe Asachi Technical University of IasiRomania
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.
Dr. Aurelian Catalin GALCA is a Senior Researcher I at the National Institute of Materials Physics (NIMP) in Magurele, Romania, where he works in the Laboratory of Complex Heterostructures and Multifunctional Materials (HeCoMat). He serves as NIMP's responsible for international collaborations with the Agence universitaire de la Francophonie (AUF) since 2016, managing administrative procedures and educational, training, and research activities for foreign PhD students and postdocs. Dr. GALCA's educational background includes: PhD in Physics from the University of Twente, Netherlands (2006) Master's degree in Solid State Physics from the University of Bucharest, Romania (2002) Bachelor's degree in Physics from the University of Bucharest, Romania (2002) Dr. GALCA's research focuses on the non-destructive characterization of nanoscaled materials using advanced techniques including spectroscopic ellipsometry, X-ray diffraction, UV-Vis and infrared spectroscopy, and Raman spectroscopy. His work also encompasses the preparation of dielectric/semiconductor/metallic thin films by physical vapor deposition methods and the development and testing of optoelectronic devices . His expertise spans materials science, nanotechnology, photovoltaics, and magnetooptics, with particular emphasis on thin film characterization and engineering for solar cell applications, memory devices, and other electronic applications. Analysis of Dr. GALCA's recent publications reveals a strong focus on advanced materials for energy applications , particularly photovoltaics and energy storage. His work spans thin film solar cells (CZTS, CBTS), perovskite solar cells, supercapacitors, and magnetocaloric materials. A common thread is the precise engineering of material properties through composition control, phase transitions, and surface morphology optimization. His research increasingly incorporates computational methods to complement experimental findings, demonstrating an interdisciplinary approach to materials science. Dr. GALCA has received notable recognition for his work, including: RADU GRIGOROVICI prize awarded by the Romanian Academy in 2011 for contributions to the optical characterization of oxide systems As a research leader, Dr. GALCA has coordinated three national projects, two of which as Principal Investigator, including the "Science and engineering of kesterites for the next generation of solar cells" project. He has also contributed to economic projects with CyberSwarm Inc. and Honeywell Romania. His expertise is sought after as a scientific reviewer for top journals including Scientific Reports, ACS Applied Materials & Interfaces, and Applied Surface Science, and as an Expert Evaluator for the European Commission (H2020), ANR (France), CNR (Italy), and Romanian funding agencies. Dr. GALCA leads research activities at the Laboratory of Complex Heterostructures and Multifunctional Materials (HeCoMat) at NIMP, where his team focuses on the characterization and development of advanced materials for optoelectronic applications. The laboratory is equipped with state-of-the-art instrumentation for thin film deposition and characterization, supporting research in photovoltaics, memory devices, and other electronic applications. Dr. GALCA's team collaborates extensively with international partners, reflecting his role as NIMP's responsible for AUF collaborations.
Dr. Onet-Marian Zsuzsanna is a Lecturer in the Department of Computer Science at Babes-Bolyai University in Cluj-Napoca, Romania. Her research focuses on applying machine learning techniques to software engineering challenges, particularly software defect prediction and restructuring. Academic Rank: Lecturer Affiliation: Babes-Bolyai University Department: Computer Science Email: zsuzsanna.onet@ubbcluj.ro Research Interests : Dr. Marian specializes in developing machine learning models (clustering, association rules, reinforcement learning) for software defect detection, package-level restructuring, and test order optimization. She also explores applications of Formal Concept Analysis in text summarization and music pattern discovery. Recent Publications highlight her work in source-code embeddings, unsupervised learning for software analysis, and comparative studies of online/traditional learning environments. Her methods often integrate domain-specific metrics and AI-driven optimization. Contact : zsuzsanna.onet@ubbcluj.ro | Office: Teodor Mihaly street, Room 440
Alexandra-Andreea Mironescu serves as a Lecturer at the Faculty of Management-Marketing, Romanian-American University in Bucharest, with dual expertise in academic instruction and operational logistics management. She concurrently holds the position of Logistics Manager for Europe and Asia, overseeing intermodal transport (maritime, rail, road, air) and 3PL warehousing operations across B2B/B2C segments. Bachelor's in Management, Bucharest Academy of Economic Studies (2006) Bachelor's in Law, Romanian-American University (2006) Master's in Business Management, Romanian-American University (2008) Her research specializes in logistics systems optimization, focusing on process modeling for integrated software implementations (SFA-CRM-ERP-WMS), SKU database auditing, and operational flow analysis. She investigates critical challenges in digitalized reporting automation and predictability within global supply chains, emphasizing practical technological applications for efficiency gains. With 16 years of teaching experience across Romania, Lithuania, Czech Republic, Poland, and Hungary, she delivers specialized courses in Supply Chain Management, Logistics Operations, and Human Capital. Her pedagogy integrates 14 years of field logistics experience to reduce student workplace onboarding time, prioritizing immediate skill applicability and career advancement through professional retraining frameworks.
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).
Natalia Alekseevna Evseeva serves as an Associate Professor at the Department of Automobiles, Heat Engines and Hybrid Power Plants within the Faculty of Transport at Zaporizhzhia Polytechnic National University. She has been active at the institution since 2001 and holds the academic title of Candidate of Technical Sciences. She also holds the prestigious position of Vice-Academician of the Academy of Technical Sciences of Ukraine. Her educational foundation includes a degree from Zaporizhia Industrial Institute (1993) with a specialty in 'Metallurgy of non-ferrous metals' and qualification as a 'metallurgical engineer'. She further solidified her academic credentials by defending her Candidate's thesis in 2015 titled 'Improving the mechanical and operational properties of special-purpose chromium-nickel-manganese steel'. Dr. Evseeva's research portfolio demonstrates significant expertise in internal combustion engines, heat engineering, and automotive systems. Her work particularly emphasizes engine cooling systems, thermal management, fuel injection technology, and alternative fuel systems. She has published 22 scientific papers, including a textbook and a patent, with her most recent publications appearing in 2025. Her scholarly contributions show a consistent progression toward more sophisticated modeling techniques and innovative solutions for engine performance optimization, particularly in the areas of electric pump integration for cooling systems and advanced fuel injection technologies. Certificate from the Department of Education and Science of Zaporizhzhia City Council (November 2023) Certificate from Oleksandrivska District Administration of Zaporizhzhia City Council (December 2019) Honorary Certificate from ZNTU (May 2016) Honorary Certificate from the Department of Education and Science of Zaporizhzhia Regional State Administration (2015) Honorary Certificate from Zhovtneva District Administration (2006) Dr. Evseeva actively contributes to academic governance as a member of the scientific and methodological council of the Faculty of Transport and the labor conference. She serves as the guarantor of the bachelor's educational program 'Internal Combustion Engines'. Her professional development includes internships at PJSC 'Zaporizhabraziv' (2020) and recent training in academic integrity (2025) and educational leadership (2025), reflecting her commitment to both research excellence and educational innovation.
Călin-Adrian POPA is a Full Professor at the Department of Computer and Software Engineering, Politehnica University of Timişoara. He holds a Ph.D. in Computer Science and Information Technology (2015) from Politehnica University Timişoara, and additional degrees in Mathematics from West University of Timişoara (B.Sc. 2013, M.Sc. 2015). His research focuses on artificial intelligence, machine learning, and neural networks, with specializations in complex-valued systems (octonion, quaternion, Clifford algebra), stability analysis, and synchronization of neural networks. He has been awarded the 'Profesor Bologna' Distinction (2017). Research interests include: Advanced neural network architectures Deep learning for computer vision Fractional-order systems Nonlinear dynamics and control Applications in robotics and astrophysics His publications span 2014–2025, emphasizing theoretical contributions to neural networks and practical applications in computer vision and robotics. He supervises a large cohort of PhD students in AI-related fields.
