جست‌وجوی استاد و پژوهشگر

• Emergency Medicine
• Basic Life Support
• Cardiopulmonary Resuscitation
• +۵ مورد دیگر

Ernesto Herrera Pedroviejo serves as an Associate lecturer at the Blanquerna School of Health Sciences, Ramon Llull University (URL) in Barcelona, Spain, with an active research profile in emergency medical systems. Contactable via ernestohp1@blanquerna.url.edu and ORCID 0000-0002-4163-4558, his scholarly impact includes 62 citations and an h-index of 4 per Scopus metrics, reflecting contributions to life-saving healthcare innovations. His research centers on Emergency Medicine with specialized expertise in Basic Life Support (BLS) , Cardiopulmonary Resuscitation (CPR) , and technology-integrated medical training. Key investigations include comparative analyses of resuscitation devices (pocket masks vs. bag-valve masks), augmented reality applications for BLS instruction via smart glasses, and novel approaches to aquatic emergency response. His work bridges clinical practice with digital innovation, particularly through video communication systems for dispatcher-assisted bystander interventions and biomechanical assessments of postural stability. Publication trends from 2020-2025 reveal a strategic focus on pilot studies evaluating real-world feasibility of emergency response tools. Dominant themes include technology-enhanced medical education (evident in 2023 AR training studies), device optimization for field use (2020 flotation device research), and advanced resuscitation techniques (2025 mask comparison study). This trajectory demonstrates consistent methodological emphasis on simulation-based validation and human-factor analysis in high-stakes emergency scenarios.

Eric Barthمشاهده پروفایل

استاد

• Dynamic systems and control
• Mechatronic systems
• Fluid power systems
• +۷ مورد دیگر

Eric Barth is Professor of Mechanical Engineering and Professor of Neurological Surgery at Vanderbilt University's School of Engineering. He serves as Director of the C* Control laboratory (also known as the Laboratory for the Design and Control of Energetic Systems) and is affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary entity bringing engineers and physicians together to impact healthcare. His educational background includes: Ph.D. in Mechanical Engineering from Georgia Institute of Technology M.S. in Mechanical Engineering from Georgia Institute of Technology B.S. in Engineering Physics from University of California - Berkeley Professor Barth's research focuses on dynamic systems and control with applications spanning multiple domains. His primary interests include the design, modeling and control of mechatronic and fluid power systems, free-piston internal combustion and free-piston Stirling engines, energy storage and harvesting systems, and MRI compatible pneumatic robots for medical applications. His work applies a system dynamics and control perspective to problems involving the control and transduction of energy, encompassing multi-physics modeling, control methodologies formulation, and model-based design. His recent publications reveal a strong trajectory connecting mechanical engineering principles with medical applications, particularly in neurosurgery. The research spans energy systems (especially Stirling engines and novel energy storage approaches) and advanced medical robotics for MRI-guided interventions. This dual focus demonstrates his ability to bridge theoretical control systems with practical applications in both energy and healthcare domains. Professor Barth actively advises several doctoral students including David Comber, Joshua J Cummins, Alexander V. Pedchenko, and E. Bryn Pitt. His research is supported by significant funding, notably from the Center for Compact and Efficient Fluid Power, an NSF Engineering Research Center. The C* Control laboratory he directs occupies approximately 1000 square feet and contains specialized equipment including an 8-camera high-bandwidth optical tracking system, mechanical breadboard tables, pneumatic equipment with high-bandwidth servo-valves, specialized pressure sensors, a thermographic camera, high-speed video equipment, 3D printers, and a 2D laser cutter. Computational facilities include a network of approximately 20 machines running MATLAB/Simulink and SolidWorks, with access to additional CNC machining resources through the School of Engineering and the University.

Sushil Prasadمشاهده پروفایل

استاد

• Data Intensive Computing
• Energy-Efficient Deep Learning
• Parallel Algorithms
• +۳ مورد دیگر

Sushil Prasad is a Professor of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His research focuses on data-intensive computing, energy-efficient deep learning models, parallel algorithms, and high-performance software systems. He holds a Ph.D. from the University of Central Florida, an M.S. from Washington State University, and a B.Tech. from the Indian Institute of Technology, Kharagpur. His work emphasizes integrating parallel and distributed computing into early computer science curricula. Key research interests include geospatial data analysis using ICESat-2 and Sentinel-2 imagery, edge device-optimized neural networks, and scalable polygon processing algorithms. He has contributed to frameworks like MPI-GIS and Crayons for high-performance geospatial computing. His educational initiatives include NSF-funded curriculum modernization efforts in parallel computing education. Recent work trends show a focus on climate science applications (e.g., polar sea ice classification), energy-efficient AI, and GPU/OpenMP parallelization. He has organized workshops like EduHPC and EduPar to advance HPC education strategies. Notable recognition includes the TCPP Outstanding Service Award (2012). His projects span cloud-based GIS systems, distributed ML training, and big spatial data processing. Collaborations include NSF-funded research on colocation mining, trajectory analysis, and curriculum development for undergraduate HPC education.

Jan Godsellمشاهده پروفایل

استاد

• Supply Chain Strategy
• Circular Economy
• Operations Management
• +۵ مورد دیگر

Professor Jan Godsell serves as Dean of Loughborough Business School and holds the title of Professor of Operations and Supply Chain Strategy. Her dual career spans academia and industry, combining academic rigor with executive experience in global firms like Dyson and ICI/Zeneca Pharmaceuticals. She focuses on strategic supply chain alignment, circular economy transitions, and Industry 4.0 applications. Her research bridges operational excellence and strategic business goals, emphasizing sustainability, deglobalization risks, and innovation ecosystems. Advisory roles include the Made Smarter Expert Panel and Industrial Strategy Challenge Fund Advisory Group, reflecting her industry influence. Key research themes include circular economy frameworks, supply chain resilience, and the interplay between technology and sustainable practices. Recent work explores net-zero supply chains, food waste prevention, and geopolitical sourcing strategies. Awards and grants are not explicitly listed in the provided text, but her extensive advisory roles and leadership positions underscore her recognized expertise. Her career trajectory highlights a commitment to transforming academic insights into actionable industry strategies.

Bradley Hayesمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

André Laplumeمشاهده پروفایل

استاد

• Strategy
• Entrepreneurship
• Innovation Management
• +۵ مورد دیگر

Dr. André Laplume is a Professor in the Entrepreneurship & Strategy Department at the Ted Rogers School of Management, Toronto Metropolitan University. He holds a PhD, MBA, and BCS in addition to extensive industry experience in IT consulting and entrepreneurship. His research focuses on strategic innovation, spinout ventures, and entrepreneurial ecosystems, with a notable 2024 book on spinout transitions. He has served as Director of Research-Based Graduate Programs at the Yeates School of Graduate Studies (2019–2024) and Interim Director of the Entrepreneurship Research Institute (2024–2025). Dr. Laplume’s teaching portfolio includes courses on strategic management, intrapreneurship, and innovation at both undergraduate and graduate levels. His research has been featured in top journals such as Journal of Business Venturing Insights and Journal of Management , with a focus on spinouts, entrepreneurial barriers, and stakeholder dynamics. He actively mentors graduate students in Management, Data Science, and related disciplines. Professional contributions include co-founding LaunchScore.com, a data-driven startup recommendation tool, and over 14 peer-reviewed articles addressing topics like restrictive covenant enforcement, startup diversity, and agile innovation frameworks. His work bridges academic theory with practical applications in corporate innovation and entrepreneurial ecosystems.

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Hafizul Asadمشاهده پروفایل

مدرس

• Formal Verification
• Hybrid Systems
• Intrusion Detection Systems
• +۵ مورد دیگر

Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.

Krisztina Domjanمشاهده پروفایل

مدرس

• Diversity, Equity, Inclusion, Belonging
• Inclusive and Transparent Teaching Practices
• AI Literacy Skills and Digital Citizenship Competencies
• +۶ مورد دیگر

Krisztina Domjan is a progressive educator at American University's School of Professional & Extended Studies and Office of Global & Immersive Studies (OGIS), where she serves as the past Chair of the OGIS Faculty Council and holds the distinction of being CTRL's inaugural Artificial Intelligence in Instruction Faculty Fellow for AY23-24 and AY24-25. With extensive experience across higher, adult, and secondary education settings in Hungary, England, Germany (military base), and the USA, she teaches courses including Complex Problems Seminar: iGen Reboot, Intercultural Understanding, and College Writing. Educational Background: PhD in English Language and Intercultural Communication (2013), Anglia Ruskin University, Cambridge, UK M.A. in European Languages and Intercultural Studies (2003), Anglia Ruskin University, Cambridge, UK B.A. in Teaching English as a Foreign Language (1999), Kodolányi János University College, Szekesfehervar, Hungary Dr. Domjan's research focuses on inclusive and transparent teaching practices, AI literacy skills, intercultural understanding, and Generation Z intellectual habits. As a WATESOL President (2023-2024) and active member of TESOL, ISTE, and Heterodox Academy, she champions culturally responsive pedagogy and digital citizenship competencies. Her work emphasizes creating equitable learning environments that bridge cultural divides while leveraging technology for enhanced student engagement and retention. Her scholarly output demonstrates a clear trajectory toward understanding the intersection of AI and education, with recent publications exploring how generative AI can be integrated responsibly into academic settings while maintaining academic integrity. These works reveal her commitment to developing practical frameworks that help both educators and students navigate the rapidly evolving digital landscape of higher education. Notable Recognition: Artificial Intelligence in Instruction Faculty Fellow (AY23-24, AY24-25) Milton and Sonia Greenberg Scholarship of Teaching and Learning Award (2021-2022) Inclusive Pedagogy Fellow (AY19-21) Jack Child Teaching with Technology Award (2018) As an advocate for lifelong learning and innovative teaching practices, Dr. Domjan has presented extensively at national conferences on topics ranging from inclusive academic discussions to AI-assisted teaching. Her leadership in professional organizations like WATESOL demonstrates her commitment to building collaborative learning communities that advance educational excellence across cultural boundaries.

• Flow Battery
• Desalination
• Redox Flow Battery
• +۴ مورد دیگر

Kyle C Smith serves as Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois' Grainger College of Engineering, with a secondary appointment at the Beckman Institute for Advanced Science and Technology. His academic profile reflects a strong research focus at the intersection of electrochemical engineering and environmental technology development. Dr. Smith's research interests center on electrochemical systems for energy and water applications , with particular expertise in flow battery technology, desalination processes, and porous electrode engineering. His work bridges fundamental electrochemical principles with practical engineering solutions for sustainable technologies, as evidenced by his fingerprint analysis showing strong connections to flow battery systems (100%), desalination (92%), and redox flow batteries (89%). Analysis of his recent publications reveals a clear trajectory toward optimizing electrochemical systems for water treatment applications, with increasing focus on desalination technology since 2023. His work demonstrates consistent innovation in electrode design, flow field optimization, and energy efficiency improvement across electrochemical systems. Scientific recognition includes: ISE-Elsevier Prize for Applied Electrochemistry (2018), widely covered by 10+ news outlets and social media platforms His research has received significant media attention, with two major press features: 'New research helps eliminate dead zones in desalination technology and beyond' (January 2025) and 'Mechanical engineers lend fresh insight into battery-based desalination technology' (June 2023), indicating strong translational impact of his work. The research group maintains active collaboration networks spanning multiple institutions and countries as shown in the research network visualization. Dr. Smith's laboratory focuses on advanced electrochemical systems development, particularly investigating novel approaches to porous electrode design and flow management for applications in both energy storage and water treatment technologies. His recent work on tapered interdigitated channels and micro-interdigitated flow fields represents innovative engineering solutions to longstanding challenges in electrochemical reactor design.

Rémy Jacquemondمشاهده پروفایل

پژوهشگر

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +۳ مورد دیگر

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

Natalie Davisمشاهده پروفایل

استادیار

• Sustainability Transitions
• Food Systems
• Agent-Based Modelling
• +۳ مورد دیگر

Natalie Davis is an Assistant Professor in Environmental Geography at the Faculty of Science, Vrije Universiteit Amsterdam, and affiliated with the Amsterdam Sustainability Institute. Her research focuses on equity and agency in sustainability transitions, particularly within food systems, employing agent-based modelling and network analysis. She holds a PhD in Environmental Science (Lancaster University, 2021), an MSc in Environmental Science (Lancaster University, 2018), and a BSc in Information Science (University of North Carolina at Chapel Hill, 2015). Her work contributes to UN Sustainable Development Goals, emphasizing sustainable consumption and food systems. Her research explores consumer behavior, food system dynamics, and network structures, with recent projects including a NWO-funded study on the Dutch food system transition. She has published on topics such as dietary patterns, Indigenous food networks, and resource distribution inequalities. Her methodologies emphasize transdisciplinary approaches to address systemic challenges in sustainability transitions. Labs/Teams: Institute for Environmental Studies (IVM) and Amsterdam Sustainability Institute (ASI).

Marynel Vázquezمشاهده پروفایل

استادیار

• Human-Robot Interaction (HRI)
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

Marynel Vázquez is an Assistant Professor in Yale University's Computer Science Department, leading the Yale Interactive Machines Group (IMG). Her research focuses on Human-Robot Interaction (HRI), particularly in multi-party settings, advancing perception and decision-making algorithms for socially aware robots. She holds a PhD from Carnegie Mellon University and previously worked at Stanford and Disney Research. Her research combines computer science, behavioral science, and design, emphasizing interdisciplinary approaches. Key projects include the social robots Chester and Shutter, and frameworks like SEAN-VR for evaluating robot navigation in virtual reality. Vázquez has received prestigious awards including the NSF CAREER Award (2022) and AFOSR YIP Award (2024). Teaching includes courses on interactive machines, robotics, and human-computer interaction. She actively mentors students and emphasizes ethical and socially responsible robotics development.

• Optimal Control
• Numerical Analysis
• Finite Element Methods
• +۲ مورد دیگر

Jakob Wagner is a Research Fellow at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Mathematics. He works within the Chair of Optimal Control under Prof. Boris Vexler and serves as an Invited Lecturer at Kutaisi International University in Georgia since 2022. His educational background includes a Master's degree in Mathematics from TUM (2019-2020, grade 1.0) and a Bachelor's degree in Mathematics from TUM (2014-2018, grade 1.2). Wagner's research focuses on Optimal Control of fluid dynamics equations, particularly the Navier-Stokes and Stokes systems. He specializes in Finite Element Methods and rigorous Error Estimates for discretizations of partial differential equations. His work addresses time-dependent problems, state constraints, and boundary control mechanisms in computational fluid dynamics, with significant contributions to stream-function formulations and pressure boundary conditions. Analysis of his publication record reveals a concentrated research trajectory in numerical analysis of incompressible flow control. His work consistently advances theoretical foundations for finite element discretizations, emphasizing fully discrete error analysis and pointwise constraints across Stokes and Navier-Stokes frameworks. Key innovations include novel approaches to blood flow modeling and ocean current reconstruction through coupled ODE systems. Wagner actively mentors students, supervising Master's theses by Alexandro Jedaidi (2025, ocean current reconstruction), Chenhong Lin (2025, Stokes equations), and Hendrik Bruhse (2023, parabolic problems), plus Noah An der Lan's Bachelor thesis (2025, Bayesian experiment design). His teaching portfolio spans Analysis, Optimization, and Numerical Methods courses at TUM and Kutaisi International University. He operates within TUM's Chair of Optimal Control research ecosystem, contributing to international collaborations through conference presentations at GAMM Annual Meetings and specialized symposia, while maintaining active involvement in computational mathematics projects including robotic swarm applications for radio imaging.

Srabanti Chowdhuryمشاهده پروفایل

دانشیار

• Wide Bandgap Semiconductors
• Thermal Management
• Power Electronics
• +۳ مورد دیگر

Srabanti Chowdhury is an Associate Professor of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy at Stanford University. She holds a courtesy appointment in Materials Science and Engineering. Her research focuses on wideband gap (WBG) and ultra-wide bandgap (UWBG) materials, energy-efficient power/RF systems, and thermal management using diamond integration. She earned her M.S. (2008) and Ph.D. (2010) in Electrical and Computer Engineering from UC Santa Barbara. Key achievements include the 2023 Technical Excellence Award (SRC), 2020 Alfred P. Sloan Fellowship, and 2024 IEEE Fellow distinction. She has authored 120+ journal papers, 26 patents, and serves on IEEE committees like IRPS and VLSI Symposium. Her work addresses thermal boundary resistance in GaN/SiC-diamond interfaces and 3D thermal scaffolding for integrated circuits. She also explores vertical GaN power devices and monolithic bidirectional switches. Notable research directions include AI-driven thermal simulation pipelines, diamond-incorporated RF cooling, and high-voltage GaN PN diodes. Her contributions span semiconductor fabrication (e.g., MOCVD growth), interface engineering, and device-level thermal solutions for next-generation electronics.