جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Metrology
• Biomedical Engineering
• +۵ مورد دیگر

Roman Szewczyk is a Professor at the Institute of Metrology and Biomedical Engineering within the Faculty of Mechatronics at Warsaw University of Technology (Politechnika Warszawska). He also maintains an affiliation with the Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP. His academic career spans over two decades since earning his doctorate in 2003. Professor Szewczyk's research interests are highly interdisciplinary, focusing on the intersection of mechanical engineering, materials science, and biomedical applications. His primary expertise lies in magnetic sensors, metrology, and the development of measurement systems. He has made significant contributions to understanding magnetostrictive effects, magnetic permeability in electrical steels, and the application of finite element methods for sensor development. His work bridges theoretical physics with practical engineering applications, particularly in the fields of automation and biomedical instrumentation. An analysis of his recent publications reveals a strong focus on precision measurement systems, magnetic sensor development, and materials characterization. His work spans from fundamental physics of magnetoelastic effects to practical applications in robotics, biomedical devices, and environmental sustainability. The consistent publication output across multiple domains demonstrates his ability to integrate knowledge from diverse fields to solve complex engineering problems. With an impressive record of 342 publications and an h-index of 18 (Scopus) and 17 (Web of Science), Professor Szewczyk has established himself as a significant contributor to his fields of expertise. His work has practical applications across various industries including medical technology, power systems, and precision manufacturing. Professor Szewczyk has supervised 120 promoted theses, indicating his substantial contribution to academic mentoring and the development of future engineers. His involvement in 4 research projects demonstrates his ability to secure funding and lead research initiatives. While specific grant details aren't provided in the available information, his publication record suggests successful acquisition of research funding to support his extensive work. His laboratory work appears to focus on precision measurement systems, particularly those involving magnetic phenomena. The research group likely maintains facilities for materials testing, sensor development, and computational modeling, given the nature of his publications. The connection to the Institute of Metrology and Biomedical Engineering suggests strong capabilities in precision instrumentation and biomedical applications of engineering principles.

• LIDAR technology
• Point cloud analysis
• Big data algorithms
• +۹ مورد دیگر

Adrian Widłak is a Teaching Assistant at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology. His research focuses on information and communication technology (ICT) with specialization in point cloud analysis, visibility mapping, and network security. Specializes in LIDAR technology and Digital Surface Model (DSM) processing for viewshed generation Conducts research in big data algorithms, cryptography, and artificial intelligence Active in edge computing optimization and intelligent transportation systems His work spans multiple interdisciplinary domains including environmental monitoring, biomedical applications, and blockchain security. Recent publications demonstrate a focus on: 3D spatial analysis techniques using point cloud data Machine learning applications in ecological modeling Cybersecurity challenges in modern network architectures Optimization of edge computing infrastructures Blockchain consensus mechanisms and security frameworks

Paweł Myszkowskiمشاهده پروفایل

استاد

• Evolutionary Computation
• Metaheuristics
• Multi-objective Optimization
• +۷ مورد دیگر

Paweł Myszkowski is a Professor at Wrocław University of Science and Technology, affiliated with the Department of Artificial Intelligence within the Faculty of Computer Science and Management. He is a key member of the Metaheuristics Team and actively contributes to research in evolutionary computation, multi-objective optimization, and scheduling algorithms. His research focuses on evolutionary algorithms , metaheuristics , and multi-objective optimization , particularly applied to the Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). He has developed hybrid algorithms combining differential evolution, greedy methods, and ant colony optimization. His work includes the creation of benchmark datasets (iMOPSE) and quality measures for optimization algorithms. The recent publications show a strong trend in algorithmic innovation for complex scheduling and design automation , with applications in architectural design and financial modeling. His work bridges theoretical optimization and practical implementation in software systems. Golden Badge of Wrocław University of Science and Technology He supervises diploma theses and collaborates extensively with researchers such as Maciej Laszczyk and Marek Skowroński. He has contributed to the development of tools and benchmarks that support reproducibility and comparative evaluation in computational intelligence research. He is involved in research projects on dark-box optimization, multi-criteria optimization for classifiers, and application-aware network optimization, indicating an ongoing active research agenda.

• Power Electronics
• Building Automation
• Energy Conversion Systems
• +۳ مورد دیگر

Marcin Jachimski serves as a lecturer at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on energy-efficient technologies and advanced control systems, with particular emphasis on practical applications in building automation and industrial processes. Dr. Jachimski holds both a PhD and an engineering degree (Eng.), establishing his foundation in electrical engineering principles. His educational credentials, while not detailed in available sources, underpin his expertise in power electronics and automation systems that drive his current academic work. His research spans multiple critical domains including Power Electronics for efficient energy conversion, Building Automation systems optimizing energy usage in structures, and Energy Conversion Systems for sustainable power management. He also investigates Electrical Energy Consumption monitoring techniques and develops advanced Control Systems for industrial applications, with growing interest in event-based data acquisition methods and energy-saving lighting technologies. Analysis of Dr. Jachimski's publication trends (2006-2020) reveals consistent focus on energy efficiency within building automation systems, particularly event-based electricity metering and LED/CFL lamp consumption analysis. His work demonstrates strong practical orientation through applications in lime processing control systems, industrial machine monitoring, and hardware implementations for safety functions, with increasing integration of LonWorks and TCP/IP technologies in building management solutions. No scientific awards or fellowships are documented in available sources, indicating his primary contributions occur through academic publications and teaching activities rather than formal recognitions. As a lecturer, Dr. Jachimski likely mentors undergraduate and graduate students, though specific advisees are not listed in available information. Details regarding research grants secured through competitive funding mechanisms are also absent from current documentation. His departmental affiliation suggests active participation in research teams developing energy conversion solutions and automation systems, though specific laboratory names or team structures are not explicitly mentioned in available materials. The department's focus implies collaborative work on industrial automation projects and energy monitoring systems.

• Electrical Engineering
• Control Systems
• Power Quality
• +۳ مورد دیگر

Dr. Andrzej Drwal is a Lecturer at the Department of Automation and Computer Science , Faculty of Electrical and Computer Engineering , Kraków University of Technology . His research focuses on electrical networks, optimal control, and signal processing. Academic Rank: Lecturer Institution: Kraków University of Technology Department: Automation and Computer Science Dr. Drwal's research spans Electrical Engineering , Control Systems , and Signal Processing . He has published extensively on energy-optimal signal distribution, voltage fluctuation minimization, and fractional-order digital filters. His work often involves Time-Domain Analysis and L1 Impulse Methods for complex linear networks. The 15 most recent publications highlight trends in Optimal Control of electrical systems, Power Quality improvements, and Fractional Order Systems . Key topics include Voltage Stability , Current Distribution , and Harmonic Component Modeling in networks with pulsed or periodic signals. Email: andrzej.drwal@pk.edu.pl

Jan Cychnerskiمشاهده پروفایل

استادیار

• Medical Imaging
• Machine Learning
• Computed Tomography
• +۵ مورد دیگر

Dr. Jan Cychnerski is an Assistant Professor at the Department of Computer Architecture within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges medical imaging and distributed systems, with significant contributions to AI-driven diagnostic tools and real-time communication platforms. Research Focus: His work spans: Medical imaging algorithms (CT liver segmentation, Hounsfield scale optimization) Machine learning frameworks for healthcare R&D Real-time networked systems for specialized applications like music performance Dataset construction methodologies for medical AI Recent publications demonstrate strong emphasis on adaptive AI solutions for radiology and oncology, with neural network innovations improving diagnostic accuracy. His interdisciplinary approach connects computer architecture with clinical needs. Research Team: Member of Architektura Systemów Komputerowych (Computer Systems Architecture), focusing on distributed/parallel applications and systems engineering.

• Cognitive Neuroscience
• Neuroimaging
• Language Processing
• +۳ مورد دیگر

Dr. Julia Sacher is a Professor at the Max Planck Society, specializing in cognitive neuroscience with a focus on language processing, brain connectivity, and neuroimaging. Her research explores the neural basis of language evolution in primates, structural and functional brain networks, and the interplay between neuroanatomy and cognitive functions. Her work integrates advanced neuroimaging techniques (e.g., fMRI, DTI) with behavioral and computational approaches to study language-related brain regions such as Broca's area and the arcuate fascicle in humans and non-human primates. Key projects include analyzing chimpanzee brain architecture to trace evolutionary precursors of human language networks. Dr. Sacher’s publications span cognitive neuroscience, neuroanatomy, and evolutionary biology, with notable contributions to understanding syntactic processing, brain lateralization, and the temporal dynamics of language networks. She collaborates extensively with interdisciplinary teams, advancing methods in neuroimaging and computational modeling.

Marcin Hernesمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Production Management Systems
• +۷ مورد دیگر

Marcin Hernes is a Lecturer and Head of the Department of Process Management at Wrocław University of Economics. He also serves as Director of the Center for Intelligent Management Systems. His academic career spans undergraduate, graduate, and postgraduate teaching, alongside extensive research collaboration. He is actively involved in national and international conferences, and holds memberships in IEEE, the Polish Association of Artificial Intelligence, and the Scientific Society for Economic Informatics. His research interests include artificial intelligence, cognitive technologies, machine learning, and decision support systems in production and management contexts. Education details are not explicitly stated in the provided text, but his professional trajectory indicates advanced academic qualifications. His research focuses on resolving knowledge conflicts in multi-agent systems, optimizing production processes, and leveraging AI for business sustainability. He has developed dozens of software applications for industrial and public administration use cases, emphasizing practical technological solutions. Hernes supervises doctoral students and maintains active engagement with the socio-economic environment through collaborative projects. His consultations are held on Wednesdays, and master's seminars are conducted remotely via MS Teams with specific schedules for full-time and part-time students. Notably, he has pioneered frameworks integrating cognitive architecture into financial decision support systems and contributed to ERP 4.0 systems aligning with Industry 4.0 standards. His work emphasizes sustainability across domains, from reducing urban carbon footprints through cloud technology to environmental life cycle costing in network organizations. He has also addressed challenges in supply chain management, such as the Forrester effect reduction, and explored blockchain applications in public administration digital transformation.

• Nuclear Engineering
• Reactor Safety Analysis
• Computational Methods in Nuclear Systems
• +۳ مورد دیگر

Dr. Piotr Darnowski is a researcher at the Institute of Heat Engineering (IHE), Warsaw University of Technology. His work focuses on nuclear reactor safety analysis, computational modeling, and probabilistic risk assessment. His research spans: Advanced reactor safety analysis methodologies Gen-III/IV reactor thermal-hydraulics Artificial intelligence applications in nuclear systems Fast reactor technology and fuel cycle analysis Uncertainty quantification in severe accident codes Recent publications demonstrate expertise in: AP1000/MELCOR coupled simulations Cobalt-60 activation studies PWR pressurized thermal shock analysis Gen-III+ reactor safety improvements Artificial neural network reactor modeling

Marcin Witkowskiمشاهده پروفایل

استادیار

• Signal Processing
• Speech Dereverberation
• Speaker Verification
• +۳ مورد دیگر

Dr. Marcin Witkowski is an Assistant Professor at the AGH University of Science and Technology in Cracow, Poland, specializing in the Department of Electronics and Telecommunications . His work focuses on signal processing with particular emphasis on speaker verification, speech dereverberation, and multichannel audio analysis. He holds a Ph.D. (2022) and master's degree (2012) in Electronics and Telecommunication from AGH UST, alongside a B.E.E. in Acoustics Engineering (2013). Research Interests: Far-field speaker verification, speech dereverberation techniques, robust audio processing, and blind source separation. His projects include developing anti-spoofing systems and enhancing distant speech recognition in reverberant environments. Recent work explores neural network hallucinations in Whisper ASR and VR-based voice training tools. Labs/Teams : Core member of the Signal Processing Group at AGH UST. Active in EU-funded projects on multichannel signal processing and speaker recognition systems.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۷ مورد دیگر

Tarek Gaber is a prominent academic researcher affiliated with the Faculty of Computers and Informatics at Suez Canal University and leads the Scientific Research Group in Egypt (SRGE). He maintains strong collaborative ties with international institutions including the University of Salford, Frankfurt University of Applied Sciences, and Ain Shams University, reflecting a globally engaged research profile. His research spans artificial intelligence, cybersecurity, blockchain, and smart systems with applications in agriculture, healthcare, aerospace, and industrial automation. Key areas include biometric authentication, satellite communication security, plant identification, and IoT-based monitoring systems. The body of his recent work demonstrates a trend toward secure, intelligent, and decentralized systems, particularly in using blockchain for space communications and federated learning for medical data. His publications appear in high-impact journals such as Computers and Industrial Engineering , Signal, Image and Video Processing , and Aerospace , with a strong citation record and an H-index categorized as 'Very High'. National Research Foundation National Institutes of Health Consejo Nacional de Ciencia y Tecnología Princess Nourah Bint Abdulrahman University International Atomic Energy Agency Deanship of Scientific Research, King Faisal University Wellcome Trust Nelson Mandela Metropolitan University VLIRUOS Petroleum Technology Development Fund He has supervised numerous research projects and likely mentors students through the Scientific Research Group in Egypt. While specific advisees are not listed, his leadership role implies active academic guidance. Dr. Gaber is associated with advanced research facilities and has contributed to over 100 publications. His work is supported by diverse international sponsors, highlighting the global relevance and interdisciplinary nature of his research.

• Machine Learning
• Cloud Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Dr. Mohamed E. ElAraby is a faculty member at Beni-Suef University's Faculty of Computer and Information, Egypt, with prior affiliation at Mansoura University. His academic work centers on cutting-edge technologies in computer science, particularly machine learning, cloud computing, and IoT, applied to healthcare and information systems. His research focuses on developing intelligent systems for real-world challenges, especially in pandemic prediction and data retrieval. Using advanced machine learning models and cloud-based architectures, he has pioneered innovative solutions such as IoT-driven COVID-19 prediction frameworks and elastic web crawlers for multimedia and facial data retrieval. The recent publications demonstrate a strong trend in leveraging internet-sourced data and cloud infrastructure to build robust, scalable health informatics and intelligent systems. His work bridges theoretical AI advancements with practical applications in public health and information access. Scientific Sponsorships: GlaxoSmithKline M.J. Murdock Charitable Trust Dr. ElAraby has secured research funding from prominent organizations, indicating strong industry-academia collaboration. While no formal students are listed, his publication record suggests active mentorship and research leadership. He contributes significantly to journals like Biomedical Signal Processing and Control and Multimedia Tools and Applications , reflecting high academic engagement. His work is supported by advanced computing labs focused on AI, IoT, and cloud systems, though specific lab names are not mentioned. These teams likely focus on developing next-generation intelligent systems for healthcare and data science applications.

Piotr Oramusمشاهده پروفایل

استادیار

• Parallel Computing
• Distributed Computing
• Glowworm Swarm Optimization
• +۴ مورد دیگر

Piotr Oramus, PhD, is an Assistant Professor in the Department of Information Technologies at Jagiellonian University in Kraków, Poland. His research focuses on parallel and distributed computing, glowworm swarm optimization algorithms, and computational materials science. He holds a PhD in Physics from Jagiellonian University (2001) and an MSc in Physics (1995) from the same institution. Education: MSc (1995), PhD (2001) in Physics from Jagiellonian University Affiliations: Department of Information Technologies, Jagiellonian University; Juna Network Academy (Juniper Networks Academic Alliance) His research interests include optimization algorithms, Monte Carlo simulations for material systems, and distributed computing architectures. Recent work has advanced glowworm swarm optimization techniques and explored atomic ordering dynamics in intermetallic alloys. Key contributions span computational modeling of phase transitions, defect chemistry, and superstructure stability. Teaching responsibilities include courses on computer networks and object-oriented design. He has published extensively on topics ranging from parallel computing frameworks to atomic migration mechanisms in materials science. Grants include BASTION, MASTER, and VENTURES (2011/8 KBN Grant) projects. He leads the Students Computer Laboratory and collaborates with the Juna Network Academy for academic-industrial partnerships.

• Media Theory
• Cultural Studies
• Sound Studies
• +۵ مورد دیگر

Anna Nacher is a Professor at Jagiellonian University’s Institute of Audiovisual Arts, Department of Audiovisual Media, and serves as the Head of her department. Her research spans media theory through cultural studies, sound studies, e-literature, and video games as artistic strategies, with a focus on post-digital imaging, platformed internet dynamics, and non-representational media frameworks. Education : Not explicitly detailed in the text. Research Interests : She investigates the intersections of transmedia storytelling, data visualization, and socio-political narratives, particularly in migration studies and climate crisis contexts. Her work bridges physical and digital spaces, emphasizing "code/space" relationships and the aesthetics of networked media. Article Trends : Recent publications explore pandemic-era digital literature, hashtag movements, and eco-critical practices. Themes include digital humanities, interactive media, and the use of computational tools to analyze migration, environmental change, and social activism. Scientific Awards : Fulbright Scholar (2019/2020) Laureate of Granty na Granty II competition (2021) Advising & Grants : She supervises PhD students (e.g., Marta Snoch on scent in audiovisual media) and collaborates internationally, including with UCLA Art|Sci Center on the Breath Library project. Her grants include participation in the "elit and COVID-19" project and leadership in "Post-Digital Imaging" (2017-2019). Labs & Teams : She works with Victoria Vesna’s UCLA Art|Sci Center, contributes to the Electronic Literature Organization, and engages in interdisciplinary teams for projects like Breath Library and Electronic Literature Organization conferences.

Teresa Zielińskaمشاهده پروفایل

استاد

• Robotics
• Automation
• Control Systems
• +۵ مورد دیگر

Professor Teresa Zielińska is a Full Professor at Warsaw University of Technology's Faculty of Power and Aeronautical Engineering, where she serves as ITLiMS Deputy Director for Research and Teaching and Rector's Plenipotentiary for Internationalization. With a distinguished career spanning decades, she has established herself as a leading authority in robotics and biomechanics. Her research portfolio includes: Robotics and biorobotics Humanoid and walking machines Biomechanics and locomotion analysis Control systems for autonomous robots Postural balance and gait synthesis Professor Zielińska's scholarly contributions demonstrate a consistent evolution from fundamental studies of walking machine mechanics to cutting-edge research in human-robot interaction and activity prediction. Her work bridges biological principles with robotic implementations, particularly evident in her extensive publications on humanoid gait generation, energy-efficient locomotion, and compliant actuator design. She has authored influential books including 'Walking Machines. Fundamentals, Design, Control, and Biological Patterns' (2014) and 'Optimization in control and decision-making' (2017). Her teaching activities encompass Bio-robotics, Basics of biorobotics, Control Theory II, and Information in databases, reflecting her expertise across theoretical and applied robotics. She has played a pivotal role in developing international robotics education programs, including the European Master on Advanced Robotics. Professor Zielińska maintains an active research laboratory focused on developing experimental platforms for studying bipedal and quadrupedal locomotion, with current work emphasizing energy optimization, neural network applications in gait analysis, and practical implementations of service robots for assistive applications.