جستجوی استاد راهنمای دانشگاهی

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

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.

• 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.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

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.

Radu-Daniel Vatavuمشاهده پروفایل

استاد

• Human-Computer Interaction
• Gesture Recognition
• Ambient Intelligence
• +۲ مورد دیگر

Radu-Daniel Vatavu is Professor of Computer Science at Ștefan cel Mare University of Suceava, Romania, where he directs the Machine Intelligence and Information Visualization Lab (MintViz). His research focuses on human-computer interaction, gesture recognition, ambient intelligence, and accessible computing. Education includes PhD in Computer Science. He develops gesture recognition algorithms including $P and $Q recognizers used widely in HCI research. Awards include Mihai Draganescu Award of the Romanian Academy (2019), Ten-Year Technical Impact Award from ACM ICMI (2022), and multiple ACM CHI Best Paper Awards (2023, 2016, 2015). Research develops new interaction techniques for touchscreens, wearables, and smart environments. Creates open-source tools like Agreement Analysis Toolkit (AGATe) and Gesture Heatmaps Toolkit (GHoST).

Toșa Nicoleta Ioanaمشاهده پروفایل

پژوهشگر

• Chemistry
• Physical Chemistry
• Organic Chemistry
• +۱۷ مورد دیگر

Toșa Nicoleta Ioana is a senior researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca, Romania, where she is affiliated with the Department of Isotopic and Molecular Technologies and the Laser Induced Processes research team. She obtained her PhD in Chemistry from Babeș-Bolyai University in 2009 and has been actively contributing to advanced materials and laser-based technologies research since 2006. Education: MSc in Heterocyclic Chemistry, Babeș-Bolyai University, Cluj-Napoca (1995) PhD in Chemistry, Babeș-Bolyai University, Cluj-Napoca (2009) Her research focuses on laser nanofabrication, plasmonics, spectroscopy, and functional materials , with applications spanning biosensing, environmental monitoring, and biomedical technologies. She specializes in photochemical synthesis of noble metal nanoparticles, direct laser writing, surface-enhanced Raman spectroscopy (SERS), and structural characterization in solid and solution phases. Her work bridges chemistry, physics, and engineering to develop innovative sensing platforms and nanomaterials. The recent articles highlight a strong trend in advanced optical sensing and nanofabrication , particularly in dual-mode biosensors (SERS/electrochemical), ultrafast photonics, high-density data storage, and supramolecular systems. Her projects often integrate simulation, nanofabrication, and spectroscopic validation to address challenges in healthcare and environmental science. Scientific Awards: No specific awards listed in the provided text. Dr. Toșa has played a key role in numerous national and international research projects, serving as a key expert in areas such as plasmonic biosensing, EUV photonics, and environmental pollutant detection, and as a partner team leader in projects on optical nanofabrication and petabyte-scale optical storage. She has secured significant research funding and collaborated with institutions across Romania and Europe. Her laboratory and research team focus on laser-induced processes and nanostructured materials , utilizing advanced facilities for optical characterization and nanofabrication within INCDTIM.

Adrian Trifanمشاهده پروفایل

استاد

• Management Accounting
• Performance Measurement
• Digitalization in Economics
• +۴ مورد دیگر

Adrian TRIFAN is a Professor at the University of Brasov, affiliated with the Department of Finance, Accounting and Economic Theory within the Faculty of Economic Sciences and Business Administration. His research focuses on management accounting methodologies, performance measurement systems, and the integration of mathematical models into economic analysis. He also explores digitalization trends in Central and Eastern Europe, consumer behavior in e-commerce contexts, and sustainable development strategies driven by technological innovation. Trifan's academic contributions span over two decades, with notable work on accounting treatments for financial assets, inventory management practices, and the application of emerging technologies like Augmented Reality in corporate promotion. He has collaborated on projects analyzing health perception impacts of new technologies across EU nations and evaluating green consumption patterns among Romanian youth. His work bridges theoretical frameworks with practical business challenges, emphasizing empirical research in regional development and SME competitiveness. His publications demonstrate interdisciplinary reach, linking accounting practices to broader economic indicators and digital transformation. While no specific awards are listed, his extensive publication record reflects sustained academic impact in finance, management accounting, and tech-driven economic analysis. Advising activities are not detailed in the provided materials, though his research collaborations suggest involvement in guiding academic projects related to his core specialties.

Svitlana Mykolayivna Kokarevaمشاهده پروفایل

دانشیار

• Innovative fitness technologies
• Physical and technical training of athletes
• Functional training of athletes
• +۵ مورد دیگر

Svitlana Mykolayivna Kokareva serves as Associate Professor and Dean of the Faculty of Physical Culture and Sports at Zaporizhzhia Polytechnic National University. With over 15 years of academic experience since 2007, she holds the academic degree of Candidate of Sciences in Physical Education and Sports. She is also recognized as Master of Sports of Ukraine in sports aerobics, demonstrating her practical expertise alongside academic achievements. Zaporizhia State University graduate (2002, with honors) Candidate's thesis defended in 2021 at Kharkiv State Academy of Physical Culture Specialized in "Olympic and professional sports" Qualification: "Master of Physical Education, Aerobics Coach, Teacher in Higher Educational Institutions" Professor Kokareva's research focuses on innovative fitness technologies and training methodologies for high-performance athletes. Her work particularly addresses physical and technical training optimization for football players and aerobic gymnasts. She investigates functional training approaches, medical and biological support systems for athletes, and develops mathematical models for sports performance analysis. Her research bridges theoretical sports science with practical training applications, emphasizing evidence-based methods to enhance athletic performance while preventing injuries. Her extensive publication record includes over 100 scientific works, with 38 published in professional journals and 5 indexed in Scopus. She has authored a monograph on innovative fitness training methods for football players and developed multiple educational programs, including the "Fitness and Recreation" bachelor's program. Her research consistently appears in leading sports science journals such as Journal of Physical Education and Sport, Physical Education Theory and Methodology, and Теорія і методика фізичного виховання і спорту. Scientific Awards and Recognition: Honorary Certificate from Zaporizhia Regional Committee of the Trade Union of Education and Science Workers of Ukraine (2018) Appreciation from Zaporizhia Regional Branch of the National Olympic Committee of Ukraine (2020) Certificate of Merit from Zaporizhia Regional Branch of the Committee for Physical Education and Sports of the Ministry of Education and Science of Ukraine Multiple honors from Zaporizhia City and Regional authorities As an educator, Professor Kokareva teaches Physical Education, Health-preserving Technologies, Sports Metrology, and Health-improving Gymnastics. She has developed comprehensive working programs for multiple disciplines and serves as guarantor for the "Fitness and Recreation" educational program. Her international professional development includes training at the University of Finance, Business and Entrepreneurship in Bulgaria and participation in multiple European Union educational initiatives focused on academic integrity and non-formal education. Professor Kokareva actively contributes to her field through membership in the Zaporizhia Regional Branch of the Ukrainian Gymnastics Federation and the Federation of Ukraine for Sports Aerobics and Fitness, where she serves as Secretary. Her work demonstrates a comprehensive approach to sports science that integrates research, education, and practical application in physical culture and sports.

• 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.

Dan Cristeaمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Prof. Dan Cristea is a faculty member at the Faculty of Computer Science, Alexandru Ioan Cuza University (UAIC), specializing in Artificial Intelligence and Natural Language Processing. He holds a PhD and is a corresponding member of the Romanian Academy. His research focuses on computational linguistics, knowledge representation, and historical document deciphering, with notable projects like DeLORo for old Cyrillic texts and EUROLAN Summer Schools. He has supervised numerous students in AI and NLP projects, including systems for question-answering, sentiment analysis, and agent-based models. His work bridges theoretical linguistics with practical applications in digital heritage preservation and multilingual technologies. Education: PhD (not explicitly stated in text), but his academic rank implies doctoral qualifications. Research Interests: AI applications in NLP, discourse analysis, computational linguistics, and cultural heritage digitization. Projects include MappingBooks for geographical text navigation, CoBiLiRo for bimodal corpora, and Sentimatrix for sentiment analysis. He collaborates internationally on corpora like EuReCo and has developed tools for dependency parsing and semantic annotation. Key Achievements: Corresponding member of the Romanian Academy Lead developer of the Corpus of Contemporary Romanian Language (CoRoLa) Pioneered AI-driven historical document transcription systems Grants and Collaborations: Involved in EU-funded projects like i-Librarian and i-Publisher. Collaborates with institutions globally on NLP and corpus linguistics. Labs/Teams: Director of the NLP-Group@UAIC-FII and heads the DeLORo project team.

Roman Fedorovych Sukhonosمشاهده پروفایل

مدرس ارشد

• Internal combustion engines
• Thermal dynamics
• Gas-dynamic processes
• +۴ مورد دیگر

Roman Fedorovych Sukhonos is a Senior Lecturer at the Department of Automobiles, Heat Engines and Hybrid Power Plants within the Faculty of Transport at National University "Zaporizhzhia Polytechnic". He has been affiliated with the university since 2011, contributing to both teaching and research activities in the field of internal combustion engines and automotive systems. His educational background includes: Bachelor's degree in Engineering Mechanics from Zaporizhzhia National Technical University (2010) Master's degree in Internal Combustion Engines from Zaporizhzhia National Technical University (2011), with qualifications as "Master in Internal Combustion Engines, Researcher (Engineering Mechanics), Lecturer at Universities and Higher Educational Institutions" Roman Sukhonos specializes in thermal and gas-dynamic processes in internal combustion engines. His research focuses on improving engine performance, efficiency, and emissions characteristics through innovative design approaches and diagnostic methods. He has particular expertise in two-stroke engine technology, resonant supercharging systems, and the analysis of engine misfires and their effects on performance. His recent publications demonstrate a strong focus on practical applications of engine technology, ranging from chainsaw engines to high-performance automotive systems like Ferrari V12 engines. There's a clear trend toward integrating modern diagnostic techniques, including acoustic monitoring and neural networks, with traditional engine design principles. His work spans both theoretical analysis and experimental validation of engine performance characteristics. Dr. Sukhonos has received numerous awards and recognitions for his contributions: Letter of appreciation from Zaporizhzhia Regional State Administration (June 2023) Honorary certificate from Zaporizhzhia Regional Council (June 2022) Letter of appreciation from Rector of National University "Zaporizhzhia Polytechnic" (May 2022) Honorary certificate from Executive Committee of Zaporizhzhia City Council (November 2021) Certificate from Rector of National University "Zaporizhzhia Polytechnic" (December 2019) Certificate from Oleksandrivka District Administration (December 2018) Third degree diploma from Ministry of Education and Science, Youth and Sports of Ukraine (July 2012) Certificate from Executive Committee of Zaporizhzhia City Council (December 2005) While specific details about his advising activities are not explicitly mentioned, his extensive publication record with multiple co-authors suggests active involvement in research mentoring. His participation in numerous conferences and publication of textbooks indicates significant contributions to curriculum development and student education. His research appears to be supported through university affiliations and collaborations with colleagues. Dr. Sukhonos is part of a research team at the Department of Automobiles, Heat Engines and Hybrid Power Plants that focuses on engine diagnostics, performance optimization, and alternative engine designs. His collaborations with colleagues like Georgy Slynko indicate a strong research group working on advancing internal combustion engine technology despite the industry's shift toward electric propulsion.

• Heat-resistant nickel alloys for gas turbine engines
• Alloying and modification of high-manganese steels
• Automation and computerization of foundry production processes
• +۵ مورد دیگر

Vadim Valeriyovych Kudin is an Associate Professor at the Department of Mechanical Engineering and Technology at Zaporizhzhia Polytechnic National University. With over 25 years of academic experience since 1995, he has established himself as a prominent researcher in metallurgy and foundry engineering. His educational background includes: Zaporizhia State Technical University, Faculty of Engineering and Physics, 1995 Specialty: "Machinery and technology of foundry production" Qualification: "mechanical engineer" Candidate of Technical Sciences (2004), National Metallurgical Academy of Ukraine Professor Kudin's research focuses on advanced metallurgical processes and materials engineering. His expertise spans heat-resistant nickel alloys for gas turbine engines, alloying and modification of high-manganese steels, automation of foundry production processes, alternative heat treatment methods, and metallurgical processes for various alloys. His work bridges theoretical knowledge with practical industrial applications, particularly in aerospace and heavy machinery manufacturing. His extensive publication record demonstrates consistent contributions to metallurgical science, with recent works focusing on nanoparticle modification of aluminum alloys, complex modification of cast irons, and innovative heat treatment processes. His research shows a clear progression from fundamental metallurgical studies toward more specialized applications in high-performance materials. Professor Kudin has received numerous professional recognitions: Honorary Certificate of District Administration, 2003 Certificate from ZNTU for significant contribution to education and science development, 2010 Honorary Certificate of Zaporizhzhia City Council, 2013 Badge "For Impeccable Work" III degree, 2018 Gratitude of Zaporizhzhia Regional State Administration, 2020 Gratitude of the Ministry of Education and Science of Ukraine, 2022 Honorary Certificate of Zaporizhzhia Regional Council of Trade Unions, 2022 Gratitude of Zaporizhzhia Polytechnic National University, 2023 Certificate from the Ministry of Education and Science of Ukraine, 2023 Professor Kudin has actively participated in numerous international conferences and scientific events, serving as both presenter and organizer. His recent qualification improvement focused on "Modern methodologies of applied mechanics, assessment of reliability of foundry and metallurgical equipment" (2022), demonstrating his commitment to staying at the forefront of his field. He maintains active research laboratories focused on metallurgical processes and foundry technology, collaborating with both domestic and international research teams. His work continues to influence both academic research and industrial applications in metallurgy and materials science.

• Neural Networks
• Signal Processing
• Telecommunications
• +۳ مورد دیگر

Corina Botoca is an Associate Professor at the Politehnica University of Timișoara, Faculty of Electronics and Telecommunications. She joined the university in 1988 as an assistant, progressing to works manager (1996–2006), and has held her current position since 2006. Her research focuses on neural networks applied to signal processing, telecommunications, and medical diagnostics, with notable contributions in nonlinear systems and image analysis. She has authored/co-authored books on neural networks and signal processing techniques, and her work includes pioneering studies on prostate cancer prediction using neural networks (accuracy exceeding 95%). Botoca has received the ETC Excellence Award in 2004 and 2006. She serves on multiple academic committees, including quality assurance and accreditation, and has led significant grants such as the PN II bilateral project on facial expression recognition (2009–2010). Her teaching innovations include courses on cellular neural networks and data communications. She has established research labs like B712 (Data Communications) and B219 (Selected Topics on Communications Networks), advancing interdisciplinary research in medical imaging and telecommunications. Her publications span over three decades, with key articles in IEEE and WSEAS journals. Notable works include 'Nonlinear complex channel equalization using a radial basis function neural network' (2004) and 'Cellular neural network processing of CEUS examination' (2016). Botoca’s administrative roles include membership in the Department Council and leadership in quality assurance initiatives, reflecting her dual commitment to research and institutional governance.

Donciu Codrinمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Earthquake Early Warning Systems
• +۳ مورد دیگر

Prof. Donciu Codrin is a full professor at the Department of Electric Power Engineering, Technical University of Iasi. His research spans interdisciplinary fields including signal processing, image processing, earthquake early warning systems, and textile engineering. He leads projects on seismic response analysis using uniaxial shaking tables, non-invasive eye safety systems (e.g., Opto-Guard), and ESD-protective textiles. His work integrates hardware design (e.g., electrodynamic actuators) with advanced algorithm development for applications like video-based distance measurement and apparel sizing estimation. Research projects include: Signal Processing : OFDM modulation, DFT/FFT algorithms, and seismic waveform analysis Computer Vision : Pattern recognition, 3D reconstruction, and human-centric interface design Structural Engineering : Earthquake simulation platforms and early warning system validation Textile Innovation : Conductive fabric development for ESD protection and functional garments Recent publications focus on seismic wave analysis (2023–2025), optoelectronic safety systems (2022), and ultrasonic sensing technologies (2020–2021). His work bridges theoretical signal processing with real-world applications in disaster preparedness and ergonomic design.

Ioan Turcuمشاهده پروفایل

پژوهشگر

• Molecular Physics
• Nanotechnology
• Biophysics
• +۳ مورد دیگر

Dr. Ioan Turcu is a Senior Researcher (R4) at the National Institute for Research and Development in Isotopic and Molecular Technologies (INCDTIM) , Cluj-Napoca, Romania. He holds a PhD in Physics (1996) from the Horia Hulubei National Institute for Nuclear Physics and Engineering. Education MSc in Physics (1980) – Faculty of Physics, University of Bucharest PhD in Physics (1996) – Horia Hulubei National Institute for Nuclear Physics and Engineering His research spans multiple domains including molecular physics, self-assembly of supramolecular systems, light scattering in biological media, and molecular recognition. He has pioneered studies on antimicrobial peptides , plasmonic biosensors , and bio-polymer nanocomposites . His work integrates theoretical modeling with experimental techniques like fluorescence spectroscopy, Raman spectroscopy, and molecular beam epitaxy. Dr. Turcu has led and participated in numerous national and international projects such as: PED-2021-1998 : Development of SERS aptasensors for medical diagnosis PED-2021-0795 : Eco-friendly nanocomposites for automotive applications PED-2021-3342 : Photothermal antimicrobial wound dressings His publications focus on antimicrobial peptides, supramolecular self-assembly, and advanced nanotechnologies for biomedical and environmental applications.

Adrian ALEXANDRESCUمشاهده پروفایل

دانشیار

• Internet technologies
• Web services
• Distributed systems
• +۵ مورد دیگر

Adrian ALEXANDRESCU is an Associate Professor at the Department of Computer Science and Engineering within the Faculty of Automatic Control and Computer Engineering at “Gheorghe Asachi” Technical University of Iași. He is a member of the Open Infrastructure Research Center and specializes in interdisciplinary research areas such as blockchain technology, distributed systems, artificial intelligence (genetic algorithms, neural networks), and IoT applications. His work bridges theoretical computer science with practical implementations in education, healthcare, and smart technologies. His research interests focus on leveraging blockchain for secure transactions, optimizing distributed systems, and enhancing e-learning through gamification. He has contributed to projects involving sensor networks for health monitoring, real-time driver sobriety tracking, and decentralized identity management systems. His academic contributions span over 20 years, with notable work on genetic algorithms for task mapping in heterogeneous systems and cloud-based solutions for ambient assisted living. Dr. ALEXANDRESCU’s publications emphasize blockchain’s role in trustless systems, IoT-driven healthcare environments, and AI-driven solutions for education and logistics. His work on decentralized article retrieval systems and plagiarism detection frameworks underscores his commitment to ethical and efficient digital ecosystems. Despite no explicitly listed awards, his prolific publication record reflects sustained academic excellence. He advises on projects at the intersection of cloud computing, distributed architectures, and smart technologies. His labs and collaborations focus on developing scalable solutions for real-world challenges such as secure real estate transactions and community-driven academic publishing systems.