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Gregorio SciutoView profile

Research Fellow

• Nonlinear Dynamics
• Electronic Circuit Design
• Power Systems
• +3 more

Gregorio Sciuto is a Research Fellow at the University of Catania, affiliated with the Department of Electrical Engineering, Electronic and Systems (DIEES) under the Engineering Faculty. His work focuses on nonlinear analog circuits, synchronization in chaotic systems, and reliability analysis of power devices. He completed his PhD (2009–2011) in Electronic, Automatic and Complex System Control Engineering, specializing in nonlinear circuit design and synchronization problems. His prior degree in Computer Engineering (2005) involved modeling CO2 laser dynamics using programmable circuits. Research interests span Nonlinear Dynamics Chaotic Circuit Design Power Module Optimization Reliability Engineering Networked Systems Electronic Modeling His publications from 2005–2012 address synchronization protocols, time-delay circuits, memristive systems, and CO2 laser dynamics. Email: gregorio.sciuto@unict.it .

• Smart Cities
• Internet of Things (IoT)
• Wireless Networks
• +7 more

Philip Leroux is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He serves as an IOF Innovation Officer at IMEC, focusing on smart city technologies and IoT infrastructure. His research interests span Smart Cities Internet of Things (IoT) Wireless Networks Context-Aware Systems Resource Provisioning Electromagnetic Field Monitoring . His recent publications analyze RF-EMF exposure sensing networks IoT-based resource provisioning frameworks 5G network anomaly detection semantic intelligence for media automation mobile application usage prediction . These works emphasize wireless network optimization, smart city infrastructure, and cross-disciplinary IoT solutions.

Przemysław PawełczakView profile

Associate Professor

• Energy Harvesting
• Sustainable Systems
• Internet of Things
• +3 more

Przemysław Pawełczak is an Associate Professor at Delft University of Technology within the Embedded and Networked Systems Group. He leads the Sustainable Systems Lab , focusing on battery-free and energy-efficient computing systems. PhD from TU Delft (2009) on Opportunistic Spectrum Access MSc from Wrocław University of Science and Technology (2004) His research centers on Internet of Things sustainability , with emphasis on eliminating batteries and reducing environmental impact. This includes hardware-software co-design for intermittent computing, wireless communication optimization, and quantum network protocols. 2022: DIPS framework for debugging battery-free systems 2022: Protean platform for heterogeneous battery-free computing 2021: BFree Python-based sensor prototyping 2019-2022: Quantum Internet Alliance contributions Key research trends include intermittent execution models , energy-harvesting hardware , and quantum communication protocols . His work spans from theoretical foundations to practical implementations in real-world systems. Scientific recognition includes: Dutch Research Council Veni 2012 grant He has supervised multiple PhD students and postdocs, including: Current: James Scott Broadhead, Jasper de Winkel Graduated: Amjad Yousef Majid (now TU Delft postdoc), Qingzhi Liu (Wageningen University lecturer) Leading projects include: Towards Energy Autonomous Systems for IoT (2016–Now) Quantum Internet Alliance (2019–2022) Low-Energy Visible Light IoT Systems (2019–2021) He coordinates the Sustainable Systems Lab and contributes to academic service through editorial roles and conference committees.

• Biomechanics
• Ecophysiology
• Functional morphology
• +1 more

Dr. Cristian L. Klunk is an active researcher at the Department of Biology, Technical University of Darmstadt , focusing on the biomechanics and functional morphology of ant mandibles. His work bridges ecology, evolutionary biology, and insect physiology, with a particular emphasis on how morphological traits influence mechanical performance.

Brett BuShaView profile

Professor

• Biomedical Engineering
• Physiological Modeling
• Medical Devices
• +2 more

Brett BuSha is a Professor of Biomedical Engineering and Chair of the Department of Biomedical Engineering at The College of New Jersey (TCNJ). His work focuses on physiological modeling, medical device development, and respiratory mechanics, with a strong emphasis on integrating stochastic processes into biological systems analysis. PhD in Biomedical Engineering from Rutgers University and UMDNJ (1998) BSE in Biomedical Engineering from Boston University (1994) Dr. BuSha’s research interests span: Exoskeleton and assistive device design for hand rehabilitation Cardiorespiratory variability and fractal scaling analysis Gender-specific physiological modeling Wavelet-based signal processing in biomedical contexts His publications highlight collaborations with students and researchers on projects like hand exoskeletons, neonatal incubators, and epilepsy monitoring systems. Dr. BuSha has received recognition including the TCNJ Support of Scholarly Activities (SOSA) Award and IEEE Senior Member status. Certificate of Outstanding Contribution in Reviewing, Biomedical Signal Processing and Control Certificates of Appreciation from IEEE and ASME He has served on numerous TCNJ committees including the Institutional Review Board and Curriculum Committee, with ongoing roles in academic governance and safety protocols.

Allison GoeddeView profile

Teaching Professor

• Educational Technology
• Active Learning
• Blended Learning
• +3 more

Allison Goedde serves as a Teaching Professor at Bowling Green State University within the College of Education & Human Development, specifically affiliated with the School of Inclusive Teacher Education. She has maintained continuous faculty service since 2004, contributing to both undergraduate and graduate teacher preparation programs through course instruction and professional development initiatives. Her academic preparation includes: Ed.D. in Educational Administration & Supervision from Bowling Green State University (2006) M.A. in Educational Technology from the University of Findlay (1997) B.A. in Adapted Physical Education & Exercise Science from the University of Toledo (1990) Dr. Goedde specializes in the integration of educational technology within active learning environments, with particular expertise in designing online and blended professional development for educators. Her scholarly focus examines how perceptions of active and blended learning environments influence the development of higher-order thinking skills across K-16 educational settings, emphasizing practical applications for classroom implementation. Analysis of her 2012-2013 publications and presentations reveals consistent thematic concentration on technology leadership in educational contexts. Key scholarly trends include management strategies for 1:1 device classrooms, cloud-based learning environment design, and STEM integration through initiatives like the Video Game Challenge. Her work demonstrates a strong practitioner orientation, bridging theoretical research with actionable frameworks for teacher professional development and student engagement. No scientific awards or major honors are documented in the current professional profile. While Dr. Goedde actively participates in Student Teacher Capstone Days and delivers professional development for school districts like St. John's Jesuit, specific details regarding graduate student advising or externally funded research grants are not provided in available materials. Her service contributions include conference presentations at the Ohio Educational Technology Conference and media collaborations with WBGU/PBS. The professional profile does not reference any dedicated research laboratories, specialized teams, or ongoing collaborative research groups associated with Dr. Goedde's current academic work.

• Formal Methods
• Functional Programming
• Unifying Theories of Programming (UTP)
• +7 more

Dr. Andrew Butterfield is a faculty member at the School of Computer Science and Statistics, Trinity College Dublin. He serves as Head of the Foundations and Methods Group and actively contributes to Lero: the Irish Software Research Centre. His research focuses on Formal Methods and Functional Programming, particularly the Unifying Theories of Programming (UTP) paradigm, with applications in clinical pathways, medical device software, and spacecraft operating systems. Current research includes developing UTP theories for shared-variable concurrency, rely/guarantee reasoning, and separation logic in collaboration with Jim Woodcock. He also explores Process Modelling Language (PML) semantics with John Noll and Anila Mjeda. His contributions feature proof-assistance tools like UTP2 Theorem Prover, UTP Calculator, and ReasonEq implemented in Haskell. Andrew leads funded projects such as ESA's RTEMS-SMP (2019) and SFI's FMHIDA (2016-2020). Past projects encompass formal verification of separation kernels, Handel-C language semantics, and NAND flash memory models. He has taught courses in Formal Methods, Functional Programming, and Concurrency, while serving on editorial and program committees including Formal Aspects of Computing.

• 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.

• Neuroimaging
• Neurosurgery
• Brain Tumors
• +7 more

Natalie Voets is an Associate Professor at the FMRIB Centre, part of the Wellcome Centre for Integrative Neuroimaging (WIN) at the University of Oxford. Her research focuses on translational neuroimaging, particularly using MRI to study how brain functional networks and structural pathways adapt to disease, injury, and treatment. She collaborates closely with the Oxford Neuro-Oncology Surgery service, Glioma research group, Epilepsy Surgery Programme, and Oxford Traumatic Brain Injury (TBI) Research Group, with multidisciplinary ties to the Department of Engineering. Education: MA in Experimental Psychology (University of Oxford, 2002), D.Phil in Neuroimaging (FMRIB Centre, 2005) Professional Roles: Associate Professor, Principal Investigator, and Awake Intraoperative Neurosurgery Technician at OUH NHS Foundation Trust Her research explores brain plasticity in patients undergoing neurosurgery for brain tumours and traumatic brain injury, aiming to identify predictive biomarkers for surgical outcomes and recovery potential. Recent work emphasizes deep learning integration in hippocampus segmentation, clinical fMRI advancements, and longitudinal TBI studies in pediatric populations. She contributes to consensus guidelines like those from the Organization for Human Brain Mapping. Publications highlight her expertise in functional MRI for surgical planning, neural plasticity analysis, and hippocampal network studies, with a focus on bridging imaging innovations to clinical workflows. She has secured funding from prestigious sources such as the Medical Research Council and British Medical Association.

Sara WebbView profile

Lecturer

• Observational Astronomy
• Artificial Intelligence
• Space Science
• +3 more

Dr. Sara Webb is a Lecturer at Swinburne University of Technology's School of Science, Computing and Emerging Technologies , where she serves as: Course Director for Swinburne Astronomy Online Microgravity Program Lead Program Mission Director for SHINE and the Swinburne Space Innovation Challenge Her research integrates observational astronomy, artificial intelligence, and space science , focusing on transient astrophysical phenomena using machine learning. Key research areas include: Gamma-ray burst detection and classification Interstellar object analysis Space debris tracking systems Microgravity experiment development Human-machine teaming for cosmic discovery Recent publications demonstrate expertise in fast transient detection (7 papers 2021-2025) and machine learning applications in astronomy (3 publications). Her work has been cited 48 times across these papers. Scientific recognition includes: Forbes 30 Under 30 Asia (2025) Space Domain Awareness Leadership AI & Anomaly Detection Innovation International Collaboration Network As a science communicator , she supervises 5+ doctoral students, authors The Conversation pieces (20+ 2021-2025), and has written The Little Book of Cosmic Catastrophes . Grants include funding from University of Melbourne and Swinburne internal programs for space research initiatives.

Pierre SensView profile

Professor

• Distributed Systems
• Fault Tolerance
• Cloud Computing
• +3 more

Pierre Sens is a Professor at Sorbonne University , where he leads the DELYS group (formerly Regal) – a joint research team with Inria Paris. His work focuses on distributed systems and fault tolerance , with applications to cloud computing , dynamic networks , and large-scale data storage . He has served on program committees for major conferences like DISC, ICDCS, and IPDPS, and as General Chair for SBAC and EDCC. PhD in Computer Science (1994) and HDR (2000) from Paris 6 University (UPMC) Advisor to 22 PhD theses since 1999, including recent work on secure DNS architectures and dynamic group maintenance Over 140 publications in journals and conferences, with recent contributions to stream processing, federated learning, and Byzantine fault tolerance His research explores failure detection in asynchronous networks , resilient distributed algorithms , and adaptive resource management in volatile environments. Key themes include causal broadcast , leader election in MANETs , and predictive replication models . He has developed protocols like Stab-FD (cooperative failure detection) and OMAHA (message aggregation for phase-based algorithms), with applications to cloud systems, edge networks, and peer-to-peer infrastructures. His scientific contributions span theoretical work (e.g., weakest failure detectors for Byzantine systems) and practical implementations (e.g., Pastis file system for peer-to-peer networks). He emphasizes dynamic adaptation in mobile and heterogeneous systems, addressing challenges in distributed mutual exclusion , NUMA virtualization , and video streaming optimization . Collaborations with teams in France, Brazil, and India further highlight his international impact.

Henning TrsekView profile

Professor

• Cybersecurity
• Industrial Automation
• Internet of Things
• +3 more

Prof. Henning Trsek serves as Director of the Institute Industrial IT (inIT) at OWL University of Applied Sciences since 2024, leading research in Interconnected Automation Systems. He concurrently contributes to the Cybersecurity Training Lab, a Fraunhofer IOSB-INA collaboration, and teaches graduate courses in Network Security and Industrial Communication. His academic journey spans over two decades with deep industry integration through rt-solutions.de GmbH. Educational Background: PhD in Information Technology (2015, Otto-von-Guericke-Universität Magdeburg) MSc in Information Technology (2003-2005, Halmstad University/Aalborg University) Diploma in Electrical Engineering (2000-2003, Fachhochschule Lippe und Höxter) Trsek's research centers on industrial cybersecurity and intelligent automation , with seminal work in isochronous wireless networks and OT security frameworks . His current focus integrates large language models for automated risk assessment and TSN-based security architectures , addressing critical gaps in Industry 4.0 security validation. Recent publications demonstrate methodological evolution from protocol-specific analysis (2016-2020) toward holistic security automation (2023-2025). Analysis of his 15 most recent publications reveals dominant themes: automated security risk assessment (60% of works), industrial network security (25%), and emerging threat landscapes (15%). The research trajectory shows increasing emphasis on AI-driven security validation and modular security frameworks for flexible production systems. Scientific Recognition: Best Paper Award at ETFA 2012 Trsek actively supervises graduate theses through inIT's research projects while securing industry partnerships for applied cybersecurity initiatives. His committee leadership includes IEEE Industrial Electronics Society roles and technical program coordination for ETFA (2020-2025) and INDIN conferences. Current grants focus on AI-enhanced OT security validation through the Cybersecurity Training Lab collaboration. He directs the Interconnected Automation Systems research group at inIT, operating from Lemgo's Campusallee facility. The team maintains close ties with Fraunhofer IOSB-INA for industrial testbed development and participates in Germany's Allianz für Cybersicherheit for national security standardization.

• Ultrafast Electron Microscopy
• Condensed Matter Physics
• Materials Science
• +3 more

Spencer Reisbick is a Research Associate in the Condensed Matter Physics and Materials Science Department at Brookhaven National Laboratory. His work focuses on ultrafast electron microscopy (UEM) for studying dynamic structural and electronic processes in materials. University of Minnesota: PhD (2020) and MS (2017) in Chemical Physics Ripon College: BA (2014) in Chemistry and Physics Research interests include ultrafast imaging , structural defects , photoinduced phase transitions , and spin dynamics . His publications highlight advancements in UEM technology, defect-mediated phonon dynamics, and laser-free GHz stroboscopic techniques. Recent work (2025) explores tunability of electrically driven UEM, spin-wave propagation, and acoustic excitation mechanisms in piezoelectric materials. Earlier studies (2023–2024) address artifact elimination, RF-based pulse generation, and magnetic crosstie formation. 2018 Microscopy and Microanalysis Student Scholar Award 2023 Microscopy and Microanalysis Postdoctoral Scholar Award He develops open-source frameworks like UEMtomaton to support UEM lab startups, emphasizing technological accessibility and educational training in advanced microscopy.

• Fish Behavior
• Collective Behavior
• Aquaculture
• +4 more

David Bierbach is a Researcher at the Biology and Ecology of Fishes group within the Faculty of Life Sciences at Humboldt University . His work focuses on collective behavior, animal welfare, and evolutionary ecology in aquatic species. Key Research Areas: Collective decision-making in fish shoals Behavioral plasticity in clonal and sexual fish species Environmental stress responses and adaptations Science of Intelligence Cluster collaborations Methodological Innovations: Use of biomimetic robots in studying social behavior Development of standardized fish husbandry protocols Current Projects: Thermal tolerance in extremophile fish Predator avoidance dynamics in collective systems Behavioral individuality in clonal vertebrates In recent publications (2024-2025), Bierbach's research spans fish social networks, aquaculture standards, and computational modeling of collective behavior. His work emphasizes interdisciplinary approaches combining biology with robotics and data science to advance both ecological understanding and animal welfare practices.

Mohammad HamadView profile

Researcher

• Cybersecurity
• Automotive Security
• Internet of Things (IoT)
• +3 more

Mohammad Hamad is a leading researcher in the field of Automotive and IoT Cybersecurity at the Technical University of Munich (TUM) within the Department of Computer Engineering. He holds a PhD in Computer Engineering (Dr.-Ing.) from TU Braunschweig (2020) and serves as Group Leader for the "Security for IoT and Autonomous Systems" research group under Prof. Sebastian Steinhorst. Education : PhD in Computer Engineering (TU Braunschweig, 2020) Current Role : Research Group Leader (TUM) Hamad's research focuses on cybersecurity for connected and autonomous vehicles , addressing challenges in intrusion detection, secure communication, and real-time threat mitigation. His work bridges theoretical security models with practical implementations in embedded systems, including time-sensitive networking and decentralized identity management. His recent publications highlight trends in automotive threat modeling , secure MQTT communication , and gamified cybersecurity education through capture-the-flag competitions. He has supervised 25+ student theses on topics spanning attack simulation frameworks, intrusion detection systems, and secure data models. Scientific Contributions: Organized First Workshop on Real-Time Autonomous Systems Security (2024) Co-chaired Security Program Committees for DATE, NordSec, and RTCSA Key projects include EU-funded CyberSecDome (Co-PI) and PANDORA initiatives, alongside tool development like the Simutack attack simulation framework and SEEMQTT secure communication protocol.