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Reza KashaniView profile

Professor

• Control of Dynamic Systems
• Noise and Vibration Control
• Acoustic Instability Control
• +7 more

Reza Kashani is a full-time Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering, University of Dayton. He specializes in control of dynamic systems with a focus on sound and vibration control, as well as manufacturing process control. His research is applied in aerospace, automotive, and industrial contexts. Educational Background: Ph.D., University of Wisconsin-Madison, 1989 M.S., University of Wisconsin-Madison, 1986 M.S., University of Wisconsin-Madison, 1979 B.S., Sharif University of Technology, Tehran, 1977 His research interests include active and passive noise and vibration control, thermoacoustic instability mitigation, electrohydrodynamic heat transfer enhancement, and feedback control in manufacturing processes. He applies control theory to mechanical systems for improved performance and reliability. The recent articles demonstrate a strong trend in tuned mass dampers, active acoustic filtering, and adaptive vibration control systems, spanning applications from structural engineering to automotive and aerospace systems. His work combines theoretical modeling, numerical simulation, and experimental validation. Scientific Awards: SAE Ralph A. Teetor Educational Award (1995) ASME Dynamic Systems and Control Division Certificate of Appreciation (1998) Dr. Kashani has secured research funding as Principal Investigator from the Air Force Wright Laboratories and DaimlerChrysler Corp., with projects focused on acoustic instability control and active boom noise damping. He has taught core courses such as Dynamic Systems and Controls, Noise and Vibration Control, and Automatic Control Theory. He has also conducted professional training for Caterpillar, John Deere, and SAE, and provided consulting services in noise and vibration control for industry. He has organized symposia on Noise and Vibration Control at ASME IMECE. He leads research in active and adaptive vibration control systems, with applications in aerospace propulsion, automotive NVH, and precision manufacturing. His lab work involves experimental modeling of acoustic enclosures, development of smart dampers, and control of micro heat transfer systems.

• Electrical Power Systems
• Power System Dynamics
• Renewable Energy Integration
• +5 more

Dr. Luis Rouco Rodríguez is a Full Professor at the Higher Technical School of Engineering (ICAI) of Comillas Pontifical University and a leading researcher at the Technological Research Institute (IIT). He holds a PhD in Industrial Engineering from the Polytechnic University of Madrid (1990). His roles include Director of the REE-ICAI Electrical System Operation Specialist Course, former Director of the Electrical Engineering Department (1999-2005), and Director of the ENDESA-IIT Master's in Electrical Technology (2007-2011). He teaches courses in Electrical Machines, Protections, and Power Systems. His research focuses on modeling, analysis, simulation, control, and identification of electrical power systems. Over 250 projects for Spanish/EU administrations and companies have been overseen by him, emphasizing grid stability, renewable integration, and smart grid technologies. He is a Distinguished Member of CIGRE and Senior IEEE member, leading editorial and advisory roles in journals like IEEE Transactions on Power Systems. Recent work highlights include grid-forming converter control, transient stability in high-renewable grids, and optimization of virtual power plants. His over 200 publications span top journals like IEEE Transactions and International Journal of Electrical Power & Energy Systems. Key awards include four six-year research grants and leadership in global initiatives like the TWENTIES project. He collaborates with institutions worldwide, including MIT, ABB, and CIGRE committees. Projects involve smart grid scalability, island power systems, and hydrogen infrastructure. His work bridges theoretical advancements with industry applications, addressing critical challenges in modern power systems.

• Systems Modeling
• Systems Analysis
• Simulation of Systems
• +9 more

Dr. Antonio Fernández Cardador is a Professor at the ICAI School of Engineering, Comillas Pontifical University, and a researcher at the Institute of Technological Research (IIT). He has been affiliated with IIT since January 1991 and specializes in railway systems, focusing on modeling, simulation, and optimization of railway operations. His research interests include systems modeling, analysis, and simulation, with applications in railway systems, eco-driving, energy efficiency, regenerative braking, automatic traffic regulation, and capacity optimization in urban rail networks. The recent publications highlight a strong focus on energy-efficient train operation, predictive traffic regulation, integration of energy storage systems, and multi-objective optimization using advanced algorithms. His work combines simulation, artificial intelligence, and control theory to improve railway sustainability and performance. Scientific Awards: Director of work awarded Honorary Distinction for best Doctoral Thesis in Engineering (2020, 2014) KF Alcock RIA Memorial Prize for best paper on regenerative energy use (2013) Accessit of the 13th Talgo Award for Technological Innovation (2013) "The 100 Best Ideas of 2013" by Actualidad Económica for energy improvement in driving safety Management Solutions Best Master's Thesis Award (2022) Dr. Fernández Cardador has advised numerous PhD students and led significant research projects with major railway operators and infrastructure managers across Europe. He has also contributed to the development of tools and methodologies for energy-efficient train operation and traffic regulation. His work is supported by collaborations with institutions such as CAF Signalling, ADIF, Metro de Madrid, and international universities. He is actively involved in research labs and teams focused on railway energy efficiency, smart infrastructure, and intelligent transportation systems, particularly within the IIT and ICAI ecosystem.

• Control Systems
• Electrification of Railway Systems
• Thermoelectricity
• +7 more

Ramón Rodríguez Pecharromán is an Associate Professor in the Department of Electronics, Automation, and Communications at the Higher Technical School of Engineering of Comillas Pontifical University. He has been affiliated with the university since 1992 and is also a researcher at the Technological Research Institute (IIT). He served as the Director of his department from 2012 to 2021. Research Interests: His primary research areas include Control Systems, Electrification of Railway Systems, and Thermoelectricity. His work focuses on enhancing energy efficiency in DC-electrified mass transit systems through advanced modeling, optimization algorithms, and energy storage integration. He investigates regenerative braking, demand charge reduction, and smart traffic simulation to improve railway electrical infrastructure. Publication Trends: His recent publications emphasize energy storage systems in railways, optimization using nature-inspired algorithms (e.g., coral reefs, swarm intelligence), and simulation-based assessment of reversible substations. There is a strong focus on sustainable urban transit, economic impact analysis, and high-impact applications in real-world metro systems. Scientific Awards: K. F. Alcock RIA Memorial Prize, Institution of Mechanical Engineers, August 2013 Distinción Honorífica a la mejor Tesis Doctoral, Universidad Pontificia Comillas, January 2021 Premio Cátedra de Industria Conectada al mejor Proyecto Fin de Carrera, April 2023 Advising and Grants: He has supervised PhD students, including D. Roch Dupré and A.J. López López. His research has been funded by major institutions such as ADIF, Metro de Madrid, the Ministry of Science and Innovation, and the European Regional Development Fund. Projects include energy management in rail systems, smart microgrids, and regenerative energy utilization for electric vehicle charging. Labs and Teams: He is a key member of the railway systems research group at IIT, contributing to applied projects in railway electrification and control. His team collaborates with national and international transportation authorities and industry partners to implement energy-efficient solutions.

Michael MorganView profile

Professor

• Behavioural Neuroscience
• Visual Neuroscience
• Psychophysics
• +7 more

Professor Michael Morgan is a renowned neuroscientist at City, University of London , specializing in the visual system. He joined the institution in 2000 and has held a Professor of Neuroscience appointment. His career spans prestigious institutions including the University of Cambridge , McGill University , Durham University , University College London (UCL) , and University of Edinburgh . Education: PhD, MA, and ScD in Natural Sciences (Experimental Psychology) from the University of Cambridge His research focuses on behavioural neuroscience with applications to vision science , particularly in motion processing , spatial vision , perceptual decision-making , and visual adaptation mechanisms . Current projects funded by the EPSRC and Wellcome Trust explore selective attention , signal detection , and visual space recalibration . Recent publications highlight his work on change detection , direction-selective adaptation , density/contrast modulation , and stereopsis . Collaborations with colleagues like J.A. Solomon and S. Grant span both Applied Vision Research Centre and external institutions such as UCI and Institute of Ophthalmology . Scientific Honors: Elected Fellow, The Royal Society (2005–present) His work bridges psychophysics , visual perception , and neural mechanisms , with implications for understanding both normal and clinical visual processing.

• Human-Computer Interaction
• Machine Learning
• Sonic Interaction Design
• +3 more

Dr. Baptiste Caramiaux is a researcher at Goldsmiths, University of London specializing in human-computer interaction and machine learning applied to musical expression. He serves as a key member of the Computing department and has made significant contributions to sonic interaction design and gesture recognition. Major Research Themes: Machine learning for musical gestures Expressive human-computer interaction Sonic affordances and memory EMG/MMG sensing in performance Archaeological VR interfaces His 15 most recent publications (2013–2018) demonstrate expertise in gesture variation analysis, motion modeling, and algorithmic composition. Notable collaborative works include co-editing the NIME 2014 Proceedings and developing the Gesture Variation Follower algorithm for immersive archaeological interaction.

Dragomir Penkov ChantovView profile

Associate Professor

• Chaos Theory
• Control Theory
• Secure Data Transmission
• +3 more

Dragomir Penkov Chantov is an Associate Professor at the Technical University of Gabrovo, Bulgaria, where he works in the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics. Holding a Doctorate in Technical Sciences, he has been a faculty member since 1998, specializing in Theory of Automatic Control. His academic career includes significant contributions to chaos theory and control systems. Chantov's primary research interests focus on Chaos Theory and Control Theory, with particular emphasis on chaotic synchronization methods, secure data transmission systems, and nonlinear control applications. His work bridges theoretical mathematics with practical engineering applications, especially in cybersecurity and industrial control systems. He has developed numerous synchronization schemes including identical, anti-, hybrid, scaled, and oscillating synchronization techniques for various chaotic systems. His research output shows a clear progression from fundamental chaotic system analysis toward practical applications in secure communications and industrial cybersecurity. The publications demonstrate expertise in both theoretical aspects (Lyapunov stability, hyperchaotic systems) and applied implementations (data encryption, image transmission security). His recent work has increasingly focused on multi-system synchronization and industrial cybersecurity applications within Industry 4.0 frameworks. Electronic voting systems at Technical University - Gabrovo (2022) Security methods for cyber-physical systems in Industry 4.0 (2020) Schools for Makers: Incorporating 3D design into secondary education (2020) Smart drug dispensary with personal information protection (2017) Chantov has supervised at least one PhD student, Christina Svetoslavova Stoycheva, whose dissertation focused on the synthesis and analysis of chaotic synchronization systems. His teaching portfolio includes Systems Theory, Control Theory (I & II), System Identification, Microprocessor Technology, and Control of Renewable Energy Sources. His international collaborations and specializations at institutions in Germany, Czech Republic, and Austria have enriched his research perspective.

Gabriel Oliver CodinaView profile

Professor

• Computer Vision
• Mobile Robotics
• Artificial Intelligence
• +3 more

Gabriel Oliver Codina is a Full Professor in Computer Architecture at the University of the Balearic Islands (UIB), where he serves as the director of the Systems, Robotics and Vision Group (SRV-MARIS). He holds a PhD in Physics from Barcelona Tech (UPC) and has been actively involved in academic research and teaching since 1987. His educational background includes a PhD in Physics from the Barcelona Tech (UPC). This strong foundation in physics has informed his interdisciplinary approach to computer architecture and robotics. Professor Codina's research focuses on mobile robot visual guidance, 3D vision, and sensor-based navigation systems. His work spans several key areas including laser and sonar-based motion estimation, localization and mapping. His research specialties encompass Artificial Intelligence, Sensor Systems Design, and Underwater Craft technology, reflecting a broad yet integrated approach to robotics and computer vision. Throughout his career, he has participated in more than 25 R&D funded research projects and contracts, personally leading over 20 of them. His scholarly output includes more than 125 research publications in the fields of computer vision and mobile robotics. Mobile robot visual guidance 3D vision systems Laser and sonar-based motion estimation Localization and mapping technologies Underwater robotics applications Professor Codina has made significant contributions to academic mentoring, having supervised 5 completed PhD theses with 2 additional theses currently in progress. His teaching portfolio is extensive, covering subjects such as analog and digital electronics, microcomputer systems, automatic control, industrial and mobile robotics, computer vision, and perception systems. He currently teaches Automatic Regulation, Extended Study of Robotics, Automation and Control, and Mobile Robot Sensorization and Control across multiple engineering programs. His laboratory work centers around the Systems, Robotics and Vision Group (SRV-MARIS), a Consolidated R&D+I Group where he serves as the Main Researcher, focusing on marine robotics and intelligent systems applications.

• Power Electronics
• Power Quality
• Smart Grids
• +3 more

Szymon Barczentewicz, PhD, Eng., serves as a Lecturer at AGH University of Science and Technology within the Department of Power Electronics and Automation of Energy Conversion Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. His academic position and research activities confirm active faculty status in Poland's leading technical university. Dr. Barczentewicz's research concentrates on Power Electronics , Power Quality , and Smart Grid technologies, with particular expertise in harmonic analysis, islanding detection for distributed generation systems, and voltage fluctuation compensation. His work bridges theoretical development with experimental validation, frequently utilizing phasor measurement units (PMUs), hardware-in-the-loop simulations, and advanced signal processing techniques to address grid stability challenges in renewable-rich environments. Analysis of his 15 most recent publications reveals consistent focus on grid integration challenges: 60% address islanding detection and prevention, 40% cover power quality monitoring (including supraharmonics), and 30% explore data compression for smart grid applications. His 2025-2024 work demonstrates increasing emphasis on AI-enhanced grid management and experimental validation of control systems for renewable integration. Collaboration with industry partner Enea Operator features prominently in his research program, particularly in power quality monitoring and energy balancing projects. As an active member of AGH's Energy Quality Team ( Zespołu Jakości Energii ), he contributes to experimental developmental research and educational initiatives in electrical power delivery systems.

• Integrated Circuit Design
• Sensor Systems
• Particle Physics Instrumentation
• +3 more

Krzysztof Kasiński is a Professor at the Department of Metrology and Electronics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Krakow, Poland. His work focuses on integrated circuit design for particle detectors and radiation imaging systems. School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Metrology and Electronics Email: kasinski@agh.edu.pl Phone: +48 12 617 28 27 His research interests include: Integrated Circuit Design Sensor Systems Particle Physics Instrumentation Radiation Imaging The articles highlight his contributions to ASIC development for high-energy physics detectors, particularly for the CBM experiment at FAIR. Key areas include time-over-threshold readout, leakage current compensation, and 3D integration techniques. He is a member of the Quality of Education Council in the disciplines of automation, electronics, electrical engineering, space technologies, and biomedical engineering at AGH University.

• Petri Nets
• Control Systems
• Concurrency Analysis
• +3 more

Andrei Karatkevich, PhD, DSc, Eng., is a Professor at the Department of Applied Informatics , within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His research focuses on Petri nets , control systems , and concurrency analysis in manufacturing and cyber-physical systems. His work includes systematic studies on deadlock detection and recovery , state machine decomposition , and formal verification of concurrent systems. Articles emphasize applications in flexible manufacturing , embedded control , and real-time systems , with methodological contributions to SM-covers , reachability graph optimization , and logic controller synthesis .

• Biomedical Engineering
• Computer Vision
• Medical Imaging
• +3 more

Dr. Mirosław Socha is a Lecturer at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His office is located in building B-1, room 206, where he conducts research and academic activities. Contact is available via phone (+48 12 617 28 28) or institutional email (socha@agh.edu.pl). His research encompasses several interconnected domains: Biomedical engineering with focus on medical imaging reconstruction and visualization techniques Computer vision applications for surgical navigation and diagnostics Deep learning methodologies for medical implant design and cranial defect solutions Metrology systems including flow calibration and friction measurement Signal processing for EEG and neural interface systems Analysis of his 15 most recent publications reveals strong emphasis on computational methods in healthcare, particularly deep learning-based medical reconstruction (2022-2023), measurement instrumentation (2019-2021), and medical visualization systems (2012-2015). His work consistently bridges theoretical concepts with clinical and industrial applications. No scientific awards, prizes, or fellowships are documented in available sources. Information regarding research grants, laboratory leadership, supervised students, or collaborative teams is unavailable in the provided materials.

• Electronics
• Semiconductor Devices
• Quantum Computing
• +3 more

Domenico Zito , PhD, Eng., is a Professor at the AGH University of Science and Technology in Kraków, Poland, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering under the Department of Metrology and Electronics . His research spans advanced semiconductor technologies, focusing on cryogenic circuits for quantum computing, millimeter-wave systems for 5G/6G communications, and biomedical sensing applications. University: AGH University of Science and Technology (Kraków, Poland) School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Department of Metrology and Electronics Email: domenico.zito@agh.edu.pl Research Interests: His work emphasizes the intersection of electronics engineering with quantum computing and biomedical technologies. Key areas include: Development of cryogenic CMOS circuits for quantum processors Millimeter-wave circuit design for next-generation wireless systems High-frequency oscillators, amplifiers, and switches Integration of micro-devices in biomedical platforms Phase noise reduction in CMOS oscillator topologies Recent Article Trends: Recent publications highlight advancements in sub-mW mm-Wave LNAs, cryogenic amplifiers for spin qubit control, and 60–95 GHz CMOS/SiGe components. Collaborative efforts include biomedical applications like contactless respiratory monitoring via UWB radar and environmental sensing with Doppler radar systems. Contact: Located in Headquarters B-1, 2nd floor, room 213 at AGH University.

Stefano Alberto MalanView profile

Assistant Professor

• Automatic Control
• Control Engineering
• Systems Engineering
• +10 more

Stefano Alberto Malan is a Tenured Assistant Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino, and a member of the CARS@PoliTO - Center for Automotive Research and Sustainable Mobility . His academic rank is Assistant Professor in the scientific disciplinary sector IINF-04/A - Systems and Control Engineering (Area 0009 - Industrial and Information Engineering). Educational Background : Laurea in Electrical Engineering (1988) from Politecnico di Torino. Control Engineer at FIAT Research Center (1988-1990). Research Interests : Stefano's work spans Automatic Control , Control Systems Engineering , and Dynamic Modeling , with a focus on model-based and sensor-based algorithms for combustion and emission control in diesel engines and Direct Virtual Sensors . He contributes to Robust Control via uncertainty model sets identification, Building Energy Management (e.g., WiFi4Energy, EcoThermo projects), and Automotive Systems (chassis dynamics, engine controls). His methodologies include Computer-Aided Control System Design using H-infinity and interval arithmetic, and Multi-objective Robustness Analysis . Article Trends : His publications since 2015 emphasize Control Systems (e.g., LiDAR for UAS precision spraying), Diesel Engine Emissions Management , Virtual Sensor Design , and Sustainable Mobility . Recent works integrate Machine Learning (e.g., recurrent neural networks) and Optimization Techniques (e.g., genetic algorithms) into automotive and energy systems. Teaching Contributions : He has taught Automotive Control Systems (2019–2025) and Automation and Planning of Production Systems (2020–2021) at Politecnico di Torino’s Master of Science in Computer Engineering . He is a member of the College of Computer, Film and Mechatronics Engineering . Patents : Co-inventor of two national patents: Gruppo contabilizzatore per impianti termici di riscaldamento o raffrescamento (2013, heating/cooling metering unit). Metering unit for heating or cooling systems (2010, PCT/IB2009/055912). Laboratories and Teams : Active in the Automatica Research Group at DET and the CARS@PoliTO center, Stefano collaborates on projects like WiFi4Energy and EcoThermo to advance sustainable mobility and energy efficiency.

Justus ThiesView profile

Professor

• Computer Graphics
• Computer Vision
• Machine Learning
• +3 more

Justus Thies is a Professor at the Technical University Darmstadt (since September 2023), leading research at the intersection of computer graphics , computer vision , and machine learning . His work focuses on real-time 3D reconstruction, tracking, and photorealistic rendering of humans and environments using commodity hardware, with applications in AR/VR , movie production , and 3D telepresence for collaborative virtual environments. Current faculty member at Technical University Darmstadt Research themes: 3D reconstruction, neural rendering, hybrid machine learning/Graphics methods Applications: AR/VR, telepresence, human-environment modeling His research emphasizes neural rendering and deep learning approaches for facial and body modeling, including projects like GEM (Gaussian Eigen Models), SynShot (synthetic prior inversion), and TeCH (text-guided clothed human reconstruction). Collaborations include institutions like Max Planck Institute for Intelligent Systems and Google . Key trends in his recent publications include: neural Gaussian splatting for real-time avatars, diffusion models for speech/audio-driven animation, and hybrid approaches that combine classical computer graphics principles with modern machine learning techniques. These methods address challenges in generalizability , controllability , and editability of 3D representations. Notable research contributions since 2014 include advancements in monocular facial reconstruction , real-time expression transfer , and neural rendering techniques that enable 3D scene synthesis from unpaired or sparse data. His work has received significant recognition, including Face2Face featured in Communications of the ACM (2019) and multiple publications at top venues like CVPR , ECCV , and SIGGRAPH .