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Stanislav AranovskiyView profile

Lecturer

• adaptive control
• nonlinear systems
• parameter estimation
• +3 more

Stanislav Aranovskiy is a Lecturer with the AUT team at CentraleSupélec in Rennes, France, specializing in Control Science and Engineering. He is affiliated with the Rennes Institute of Electronics and Telecommunications and maintains an active role in the international control community as a member of the IFAC Technical Committee 1.2 since 2016 and the IEEE Control Systems Society's Technical Committee on System Identification and Adaptive Control since 2018. He achieved IEEE Senior Member status in 2018, reflecting his significant contributions to the field. Dr. Aranovskiy's research spans several critical areas in modern control theory: Adaptive control and estimation methodologies Nonlinear systems analysis and control design Advanced parameter estimation techniques Observers design for complex dynamic systems Disturbance attenuation methods Dynamic Regressor Extension and Mixing (DREM) framework development His publication trajectory reveals a strategic evolution from fundamental adaptive control theory toward increasingly sophisticated data-driven approaches. Recent work demonstrates substantial contributions to Model Predictive Control (MPC) frameworks, particularly in maintaining relevant datasets using Willems' fundamental lemma. A defining characteristic of his research is the innovative application of DREM methodology across diverse estimation problems, consistently demonstrating superior convergence properties compared to conventional approaches. This work has found applications in power systems, motor control, and signal processing domains. Professional Recognition: Member of IFAC Technical Committee 1.2 (Adaptive and Learning Systems) since 2016 Member of IEEE Control Systems Society Technical Committee on System Identification and Adaptive Control since 2018 IEEE Senior Member since 2018 As a Lecturer at CentraleSupélec, Dr. Aranovskiy contributes to both teaching and research supervision. His HDR (Habilitation à Diriger des Recherches) completed in December 2023 qualifies him to supervise doctoral candidates in the French academic system. His collaborative research network includes prominent scholars such as Alexey Bobtsov, Roméo Ortega, and Anton Pyrkin, indicating a robust research environment focused on theoretical and applied control systems. Dr. Aranovskiy works within the AUT (Automatic Control) team at CentraleSupélec, which forms part of the Rennes Institute of Electronics and Telecommunications. His research group maintains strong interdisciplinary connections, with publications spanning theoretical control advances to practical implementations in renewable energy systems and electromechanical devices.

Silvio MontresorView profile

Assistant Professor

• Digital Holography
• Speckle Noise Reduction
• Acoustic Emission Monitoring
• +3 more

Silvio Montresor is a Teacher-researcher at the Institute of Acoustics within Le Mans Université, actively contributing to acoustics and optical metrology research since at least 2018. His work bridges theoretical acoustics with practical engineering applications, particularly in structural health monitoring and digital holography. His research focuses on speckle noise reduction in digital holography , acoustic emission monitoring of structural damage , and ultrasonic characterization of composite materials . Key contributions include developing deep learning algorithms for phase image denoising and novel methods for damage localization in reinforced concrete using acoustic emissions. His work spans civil engineering, materials science, and biomedical applications. Analysis of his publication trends reveals consistent focus on computational imaging techniques (2018-2024), with increasing integration of machine learning since 2021. His research demonstrates strong interdisciplinary connections between acoustics , optics , and structural engineering , particularly in non-destructive testing methodologies. As a core member of the Institute of Acoustics, Montresor contributes to transversal research axes including Metamaterials , Non-linear Acoustics , and NDET (Non-Destructive Evaluation Technologies). His work supports the lab's mission in Materials Acoustics , Elastic Waves in Complex Media , and Physics of Musical Instruments , utilizing advanced facilities for laser ultrasonics and electroacoustic sensor development.

Erika FERRARIView profile

Associate Professor

• Inorganic Medicinal Chemistry
• Metal-Based Drugs
• Metal Trafficking in vitro
• +7 more

Erika Ferrari is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. Her research focuses on inorganic medicinal chemistry , particularly in metal-based drug development , metal trafficking studies , and advanced NMR techniques for complex matrices. She leads projects on inorganic drug delivery systems and theranostic agents , with significant work on curcumin derivatives and bioactive glasses. Current projects include development of 68Ga-labeled radiotracers for Alzheimer's and cancer imaging Environmental applications in soil organic matter analysis and microalgae-based biostimulants Research Highlights: Her work bridges coordination chemistry with pharmaceutical applications , focusing on metal chelation therapy , anticancer agents , and green synthesis methods . Recent publications emphasize mesoporous silica carriers and stabilized curcumin analogs . Teaching: She instructs courses in General and Inorganic Chemistry , Industrial Inorganic Chemistry , and Coordination Compound Chemistry , emphasizing stoichiometry , chemical equilibria , and laboratory safety .

• Control Systems
• Robotics
• Multi-agent Systems
• +3 more

Dimos Dimarogonas is a Professor and Head of Department at the Department of Automatic Control, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. His research and teaching focus on advanced control systems, robotics, and multi-agent systems with applications across various engineering domains. His primary research interests include Control Systems, Robotics, Multi-agent Systems, Formal Methods, Signal Temporal Logic, and Distributed Control. Professor Dimarogonas has made significant contributions to the field of formal methods for control systems, particularly in applying signal temporal logic to robotic motion planning and control. His work bridges theoretical control theory with practical applications in robotics and autonomous systems, with a strong emphasis on safety-critical control and formal verification of system behavior. His recent publications demonstrate a clear trend toward integrating formal methods with distributed control of multi-agent systems. The research focuses on signal temporal logic specifications, control barrier functions, and distributed optimization approaches for complex multi-robot coordination tasks. His work addresses fundamental challenges in ensuring safety, stability, and performance guarantees for networked robotic systems operating under complex spatiotemporal constraints. Professor Dimarogonas serves as examiner for numerous advanced degree projects at KTH, including the Sustainable Engineer in Systems Engineering course and multiple degree projects in computer science, computer engineering, and electrical engineering with focus areas in systems engineering, robotics, and embedded systems. His teaching and supervision cover both theoretical foundations and practical implementation of advanced control systems.

Samvel Hakob JilavyanView profile

Associate Professor

• Solid Mechanics
• Wave Propagation
• Piezoelectric Structures
• +3 more

Samvel Hakob Jilavyan serves as Head of Department and Associate Professor at the Department of Mechanics within the Faculty of Mathematics and Mechanics at Yerevan State University (YSU). His research bridges theoretical mechanics and applied engineering with focus on wave propagation phenomena in complex materials. His primary research interests include Solid Mechanics , Piezoelectric Structures , and Thermoelastic Control . Jilavyan investigates wave localization in metamaterials, structural optimization under dynamic loads, and control of thermoelastic systems. His work demonstrates strong interdisciplinary connections between mechanical engineering, materials science, and mathematical physics. Analysis of his recent publications (2013-2025) reveals consistent focus on wave propagation in composite structures , particularly examining band gaps in piezoelectric metastructures, diffraction phenomena at material interfaces, and vibration control of plates and beams. His methodology combines analytical mechanics with control theory applications. Jilavyan maintains active collaboration with researchers including G. Piliposian, K. Ghazaryan, and A. Khurshudyan, publishing primarily in high-impact mechanics journals such as European Journal of Mechanics and Mechanics of Composite Materials .

• Chemical Engineering
• Process Systems Engineering
• Stochastic Modeling
• +2 more

José Augusto Fontenele Magalhães is a doctoral researcher affiliated with the School of Chemical Engineering and Department of Chemical and Metallurgical Engineering . His work focuses on stochastic modeling, state estimation, and computational methods in process systems engineering. Research Interests : Stochastic reaction-diffusion systems, particle filters, and noise analysis in dynamic systems. Publication Trends : Recent work highlights Monte Carlo methods and state estimation techniques for complex chemical engineering processes.

• Statistical Inference for Stochastic Processes
• Mathematical Biology
• Mathematical Modeling of Physiological Systems
• +5 more

Susanne Ditlevsen is a Professor in Statistics at the Department of Mathematical Sciences , University of Copenhagen . Her research spans interdisciplinary domains including statistical inference for stochastic processes, mathematical biology, nonlinear dynamics, and computational neuroscience, with applications to physiological systems and marine mammal behavior. Primary research areas: Statistics , Stochastic Processes , Biomathematics Teaching: Undergraduate and graduate courses in Probability , Regression , and Diffusion Models Research Highlights : Developed statistical methods for Hidden Markov Models to analyze narwhal diving behavior (2019), incorporating long-range dependence. Advanced stochastic differential equations with mixed effects for biomedical data (2020), enabling personalized physiological modeling. Co-authored high-impact studies on climate tipping points (2023), including the AMOC collapse warning, which received global media attention. Contributed to neural network modeling (2017) with multi-class oscillating systems and nonlinear dynamics in neuronal systems (2014). Work on α-stable noise and double well potentials (2025) enhances understanding of noise-driven transitions in biological and physical systems. Collaborations : Co-researcher on interdisciplinary projects with Alberto Samson , Eva Löcherbach , and Mads Peter Heide-Jørgensen . Engages with international teams on climate dynamics , computational neuroscience , and biomedical statistics .

Ethan PetersonView profile

Assistant Professor

• Radiation Transport
• Fusion Reactor Design
• Neutronics
• +4 more

Ethan Peterson is an Assistant Professor in the Department of Nuclear Science and Engineering at the Massachusetts Institute of Technology, where he leads the neutronics group at the Plasma Science and Fusion Center. His research focuses on radiation transport and transmutation methods, reactor design optimization, and uncertainty quantification for fusion technologies. PhD in Experimental Plasma Physics, University of Wisconsin–Madison Research interests center on developing predictive nuclear modeling for fusion reactor design, emphasizing high-fidelity Monte Carlo simulations using OpenMC. His work addresses unique challenges in fusion neutronics including complex geometries, tritium breeding, and materials testing, with applications to projects like SPARC, LIBRA, and ARC tokamaks. Recent publications demonstrate expertise in neutron shielding design, computational validation, and multi-physics simulations for fusion systems. He teaches courses in neutron physics, Monte Carlo methods, and plasma physics seminars.

• Host-Pathogen Interactions
• Environmental Toxicology
• Marine Immunology
• +4 more

Yosra Ben Cheikh is a Lecturer and Researcher at the University of Le Havre, affiliated with the joint research unit UMR-I 02 SEBIO (Environmental Stress and BIOmonitoring of aquatic environments), which integrates the University of Le Havre, University of Reims Champagne-Ardenne, and INERIS. Her work centers on host-pathogen-environment interactions in marine bivalves, particularly the blue mussel (Mytilus edulis), investigating mortality events linked to Vibrio splendidus infections and contaminant impacts. Her research integrates marine immunology and environmental toxicology to dissect how chemical stressors like benzophenone-3 compromise immune defenses in mollusks. Key methodologies include cellular motility assays, molecular characterization of efflux pumps (e.g., ABCG2), and microbiome analysis to identify non-invasive health biomarkers. Current projects like MICROTOOL leverage microbial signatures for ecosystem biosurveillance, reflecting her focus on translating laboratory findings to field applications. Analysis of her 15 most recent publications reveals consistent emphasis on haemocyte motility as a quantitative immunotoxicity indicator, contaminant-pathogen synergy in bivalve mortality, and innovative microbiome-based monitoring tools. Her work spans fundamental mechanisms (eicosanoid signaling in inflammation) to applied solutions (biosurveillance protocols for port environments), establishing critical links between molecular responses and ecosystem health. Dr. Ben Cheikh utilizes SEBIO's technical platforms including cell biology-cytometry, molecular microbiology, and experimental mesocosms (Mobicyte) for controlled stress exposure studies. Her research directly informs environmental risk assessment of emerging contaminants in coastal ecosystems through multidisciplinary approaches bridging immunology, toxicology, and microbial ecology.

• Agenda Setting
• Political Communication
• Media Effects
• +6 more

Stefan Geiss is a Professor in the Department of Sociology and Political Science at the Norwegian University of Science and Technology (NTNU), Faculty of Social and Educational Sciences. His research focuses on agenda-setting processes, frame building, opinion formation, and journalistic decision-making, with particular attention to crisis communication and media effects. Geiss investigates how issues compete for media and public attention, examining the role of event types, news factors, and cultural resonance in shaping coverage. His work explores the dynamics of crisis labeling over historical timeframes (1785-2020), the conditional nature of agenda-setting power, and the complex relationship between journalists' role ideals and democratic contexts. He employs rigorous methodological approaches including longitudinal analysis, content analysis, and Monte Carlo simulations to address fundamental questions in political communication. His recent publications reveal strong trends in historical crisis communication analysis, methodological innovation in content analysis, and critical examinations of echo chamber effects in digital media environments. Geiss frequently collaborates with researchers like Melanie Magin, Birgit Stark, and Pascal Jürgens, producing interdisciplinary work spanning political science, sociology, and media studies. Geiss actively contributes to academic discourse through conference presentations at ICA and ECREA events, and engages with public media through interviews on crisis communication trends. His research has practical implications for understanding media coverage of contemporary societal challenges including migration debates and energy transitions.

• Computer Graphics
• Computational Geometry
• Mesh Processing
• +3 more

Hans-Christian Ebke is a Researcher at the Department of Computer Science , RWTH Aachen University . He specializes in Computer Graphics and Computational Geometry , focusing on Quad Meshing , Surface Parametrization , and 3D Modeling . His work emphasizes interactive control, scale-aware algorithms, and robust extraction methods for high-resolution meshes. His notable contributions include the QEx method for reliable quad mesh extraction, the libQEx open-source implementation, and techniques for handling Scale-Invariant Directional Alignment and Level-of-Detail Quad Meshing . He has collaborated extensively with researchers like Marcel Campen, David Bommes, and Leif Kobbelt on geometric design and optimization problems. He has authored key publications at venues such as SIGGRAPH Asia , SIGGRAPH , and the Eurographics Symposium on Geometry Processing . These works address challenges in Integer-Grid Mapping , Cross Field Computation , and Vascular Structure Meshing , with applications in medical imaging and computer-aided design.

Sarah HussainView profile

Associate Professor

• Atrial Fibrillation
• Cardiac Electrophysiology
• Thromboembolism
• +3 more

Sarah Hussain, MD serves as Associate Professor in the Department of Medicine, Division of Cardiology at Penn State Heart and Vascular Institute within the College of Medicine. Her research focuses on complex cardiac arrhythmia management and innovative device-based interventions. Her primary research interests center on atrial fibrillation ablation techniques , thromboembolic risk assessment , and leadless pacemaker technologies . Current work examines thermal injury patterns during ablation procedures, safety profiles of novel pacing systems across structural heart abnormalities, and pharmacological management of arrhythmias. Publication analysis reveals a strong focus on clinical translation of electrophysiology innovations, particularly in device implantation safety (2020-2022) and evidence-based pharmacotherapy (2019). Her work consistently addresses practical challenges in managing complex cardiac rhythm disorders through multicenter collaborative studies. Research collaborations span multiple international institutions as evidenced by the global network visualization in her profile, with significant contributions to understanding left atrial pathophysiology and device-tissue interactions.

Yoann Le HénaffView profile

Researcher

• Numerical analysis
• Mathematical physics
• Partial differential equations
• +2 more

Yoann Le Hénaff is a postdoctoral researcher at the Numerical Analysis Department of the University of Tübingen, Germany. He works within the CRC TRR 352's B4 project and collaborates with C. Lubich's group. His research focuses on computational mathematics and physical modeling through numerical analysis. Education: PhD in Mathematics (2024), University of Rennes, France Master's degree in Mathematics, University of Rennes, France Engineering degree in applied mathematics, INSA Rennes, France Research Interests: Specializing in partial differential equations and numerical simulations, Le Hénaff develops grid-free particle methods for the Vlasov-Poisson system and studies modulated soliton solutions for nonlinear Schrödinger equations. Key subfields include spectral concentration problems, Dirac-Frenkel variational principles, and computational complexity optimization. Publication Trends: Recent work demonstrates expertise in hybrid numerical methods combining classical PDE approaches with modern computational techniques. 2023-2025 publications show progression from particle method convergence proofs to advanced soliton-based algorithms and spectral concentration generalizations across multiple dimensions. Collaborations: Actively involved in the CRC TRR 352 consortium, participating in annual retreats and contributing to the B4 project's objectives. Regularly presents at international seminars including the NAG seminar in Tübingen and IRMAR doctoral meetings in Rennes.

Martijn van BeurdenView profile

Professor

• Computational Electromagnetics
• Inverse Problems
• Numerical Methods
• +3 more

Martijn van Beurden is a Full Professor in the Electromagnetics group at Eindhoven University of Technology's Department of Electrical Engineering. His research focuses on computational electromagnetics for high-tech systems, particularly inverse scattering problems and electromagnetic field optimization. Key affiliations: Electromagnetic and Multi-Physics Modeling and Computation Lab, Center for Wireless Technology Eindhoven, EAISI Foundational Research Interests : Specializes in numerical methods for electromagnetic wave analysis, design, and detection. Areas include inverse scattering, integral equations, nonlinear optimization, and modeling of stochastic/uncertain electromagnetic fields. Current projects address periodic structures, antenna design, and soft X-ray metrology. Scientific Awards : C.I.V.I. prize for Electrical Engineering (MSc thesis, 1997) ASML prize for best PhD thesis in applied research (2004) Advising & Collaborations : Collaborates with researchers like Stefan Eijsvogel, Roeland Dilz, and Radovan Bojanic on computational electromagnetics projects.

• Digital Signal Processing
• Arithmetic Intensive Computing
• Communications
• +3 more

Adly T. Fam is a Professor in the Department of Electrical Engineering at the University at Buffalo, School of Engineering and Applied Sciences. He has been a faculty member since 1977 and attained the rank of Professor in 1987. His research spans digital signal processing, arithmetic-intensive computing, communications, and radar systems. His educational qualifications include: PhD in Electrical Engineering from the University of California, Irvine (1977) MS in Electrical Engineering from the University of California, Irvine (1975) BS in Electrical Engineering from Cairo University (1968) Professor Fam's primary research interests are in digital signal processing with applications in radar and communications. He has pioneered work in logarithmic frequency domain waveform design for radar and communications, as well as efficient hardware implementations for arithmetic circuits. His research integrates theoretical system design with practical engineering solutions to address challenges in signal processing and communications. Analysis of his recent publications (2018-2023) reveals a strong focus on radar waveform design using logarithmic frequency domain techniques and innovations in digital circuit design for arithmetic operations. Key themes include multicarrier logarithmic warped frequency domain code waveforms for joint radar-communications systems and novel approaches to binary counters and multipliers that improve computational efficiency and reduce hardware complexity. Professor Fam has authored over 120 journal and conference publications and holds four patents in the areas of system theory, digital signal processing, arithmetic-intensive computing, computer arithmetic, radar, and communications codes.