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Vincent JacquemetView profile

Associate Professor

• Cardiac electrophysiology
• Neurocardiology
• Biophysical modeling
• +3 more

Vincent Jacquemet is an Associate Professor in the Department of Pharmacology and Physiology at the University of Montreal's Faculty of Medicine. His research laboratory is located at the Research Center of the Hôpital du Sacré-Coeur de Montréal. He is also a member of the Institute of Biomedical Engineering (IGB, UdeM), the Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM, McGill), and the Groupe de Recherche en Sciences et Technologies Biomedicales (GRSTB, Polytechnique Montreal). Born in Sion, Switzerland Master degree in Physics (2000) from Swiss Federal Institute of Technology, Lausanne (EPFL) Ph.D. in Signal Processing (2004) from EPFL under J.-M. Vesin and M. Kunt Post-doctoral research at EPFL/Lausanne University Hospital and Duke University Dr. Jacquemet's research focuses on cardiac electrophysiology, neurocardiology, biophysical modeling, complex dynamical systems, computer simulation and signal processing. His work combines integrative biophysical modeling and signal processing techniques to improve diagnostic interpretation of cardiac bioelectric signals. Specific research themes include modeling atrial electrophysiology and arrhythmias, ECG signal processing, and multichannel recordings of the intrinsic cardiac nervous system. His laboratory develops three-dimensional virtual models of the human atria based on anatomical, histological and electrophysiological data, and creates patient-specific approaches to estimate and monitor the rate-corrected QT interval. Analysis of Dr. Jacquemet's recent publications reveals a strong focus on computational modeling of cardiac electrophysiology, particularly atrial fibrillation mechanisms and diagnostics. His work integrates experimental data with sophisticated computer simulations to bridge the gap between clinical observations and underlying cardiac pathology. Recent publications show expanding applications to pediatric oncology survivors, examining cardiac electrical abnormalities following cancer treatment, demonstrating the translational impact of his research. Research scholar Junior 1 from Fonds de Recherche du Quebec en Sante (FRSQ) Research scholar Junior 2 from Fonds de Recherche du Quebec en Sante (FRSQ) Dr. Jacquemet has advised numerous graduate students and postdoctoral researchers, with current doctoral and master's students working on electrophysiological modeling of atrial arrhythmias, neural control of cardiac function, and ECG signal processing. His research is conducted in collaboration with multiple institutions including Hôpital du Sacré-Coeur, East Tennessee State University, and the Lausanne Heart Group. His laboratory is equipped with office space for students, desktop workstations, and access to Linux clusters at RQCHP for high-performance computing needs.

• Work-based Learning
• Employability
• Gender Studies in STEM
• +4 more

Dr Colin Smith serves as an Associate Professor at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His academic work bridges computing education, work-based learning, and social informatics, with particular focus on gender dynamics in STEM pathways and digital youth engagement. His research interests prominently feature work-based learning systems, employability development, gender studies in STEM fields, social informatics applications, and higher education policy analysis. Smith investigates how digital environments shape professional identity formation and career pathways, especially through longitudinal studies of graduate apprenticeships and work-integrated learning experiences. Analysis of his recent publications reveals consistent thematic focus on gender disparities in technical education, cognitive adaptation in workplace transitions, and the social impact of digital youth work. His work frequently employs mixed-methods approaches combining theoretical frameworks like Tomlinson's Graduate Capital Model with participatory research techniques. Smith actively supervises doctoral candidates across multiple projects addressing gendered information landscapes, digital identity formation, and work-based learning efficacy. His grant portfolio includes significant projects funded by Skills Development Scotland, Economic and Social Research Council, and European Commission initiatives totaling over £300,000. As a core member of the Centre for Social Informatics and Centre for Higher Education Research, Smith contributes to institutional knowledge exchange through conference presentations at venues like Social Media and Society and Information: Interactions and Impact. His collaborative work spans international partnerships examining work-integrated learning systems and digital participation frameworks.

Matija MaroltView profile

Professor

• Music Information Retrieval
• Audio Processing
• Computer Graphics
• +5 more

Matija Marolt is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, and Head of the Laboratory for Computer Graphics and Multimedia. His research focuses on music/audio information retrieval, computer graphics, and visualization, tackling challenges in music transcription, audio segmentation/classification, and data organization. Laboratory Leadership: Head of Laboratory for Computer Graphics and Multimedia Research interests include: Audio processing and music information retrieval Interactive 3D visualization and games Vibrational communication monitoring (Vibroscape project) Medical imaging and VR/AR applications Projects led or participated in span national, EU, and industrial collaborations, including multimodal biodiversity monitoring, open data visualization, and folk music analysis. His lab develops software solutions for desktop, mobile, and cloud platforms.

Marie HerbergerView profile

Professor

• Civil Law
• Civil Procedure Law
• Legal Methodology
• +2 more

Prof. Dr. Marie Herberger, LL.M. is a Professor at Bielefeld University, holding the Chair of Civil Law, Civil Procedure Law, Methodology, Digitalization Law and Legal Tech within the Faculty of Law. Her research focuses on the intersection of law and technology, with particular emphasis on: Civil Law Civil Procedure Law Legal Methodology Digitalization Law Legal Technology Prof. Herberger is actively involved in innovative projects that bridge traditional legal frameworks with modern technological solutions, particularly in the area of digital accessibility. She leads the development of the "Bielefeld Barrier-Free Collection of Laws" (BBG), a desktop application designed to enhance digital accessibility in legal documentation in cooperation with the ZAB. Her work demonstrates a commitment to making legal resources more accessible through technological innovation, reflecting contemporary challenges in legal scholarship where digital literacy has become increasingly important.

João AlmeidaView profile

Assistant Professor

• Comparative genomics
• Molecular phylogenetics
• Biological data integration
• +4 more

João Almeida serves as an Assistant Professor with permanent appointment at the Department of Life Sciences, Faculty of Science and Technology, NOVA University Lisbon. His office (Room 2.12, Departmental Building) and contact details (jmfa@fct.unl.pt) confirm active faculty status within Portugal's leading science institution. His research program centers on genomic and ecological frontiers: Comparative genomics and molecular phylogenetics methodologies Biological data integration with visualization frameworks Yeast community dynamics in marine-terrestrial transition zones Stratified oceanic water column microbiology Graphical workflow development for sequence analysis Publication trends (2005-2025) reveal consistent focus on fungal systems (Pneumocystis, Sporidiobolus) and plant physiology (Quercus suber cork formation), increasingly incorporating computational oncology approaches. His 2023-2025 work demonstrates rapid expansion into immune checkpoint inhibitor research while maintaining core expertise in yeast ecology. No scientific awards, student supervision records, grant funding details, or laboratory infrastructure information were documented in the provided materials.

Jürgen PriemerView profile

Professor

• Business Intelligence
• Machine Learning
• Business Information Systems
• +4 more

Prof. Dr. Jürgen Priemer serves as a Professor at Westphalian University of Applied Sciences within the Faculty of Business and Information Technology (FB 5), affiliated with the Institute for Empirical Economic and Social Research. His current teaching responsibilities for Summer Semester 2024 include Bachelor-level courses in Business Information Systems Architecture, Business Intelligence Fundamentals, and Intelligent Systems. His research centers on Business Intelligence architectures and Machine Learning applications for corporate systems, with expertise in integrated business application design, data management frameworks, and management information systems. This work bridges theoretical computer science with practical enterprise solutions, emphasizing scalable data analysis and system implementation. Publication trends reveal sustained focus on practical software development, exemplified by his 2014 Java programming guide covering GUI and database integration, and 2012 Web 2.0/Ajax applications text, demonstrating consistent contributions to business informatics education. Scientific Awards: No scientific awards mentioned in source materials Advising and Grants: Students: No advisees listed Research Grants: No funding sources documented

• E-Learning Systems
• Object-Oriented Modeling
• ICT Integration in Education
• +5 more

Georgi Tuparov is a Professor in the Department of Computer Science at New Bulgarian University (NBU), specializing in Information and Computer Sciences (professional direction 4.6). Appointed Professor effective October 1, 2021, he previously held the position of Associate Professor until September 30, 2021. His academic credentials include a PhD from Technical University - Sofia (2004, accredited by the National Evaluation and Accreditation Agency) and a Master's degree in Engineering from the same institution (1989). His research spans e-learning systems, object-oriented modeling, and ICT integration in education, with particular expertise in database systems and software technologies. Current teaching responsibilities include courses in Computer Modeling and Robotics (EDUB605) and Educational Computer Games (EDUB801). His work demonstrates consistent focus on gamification techniques, educational computer games, and mobile learning solutions, particularly examining implementation challenges in diverse educational contexts including Yemeni universities. Analysis of his 15 most recent publications reveals a strong trend toward gamified assessment methodologies, with 70% of recent work exploring game-based learning systems, student engagement metrics, and technological frameworks for integrating educational games into learning management systems. His research bridges computer science fundamentals with practical educational applications, emphasizing usability testing, gender-specific learning preferences, and cross-cultural technology adoption. Professional affiliations include membership in IEEE and the Union of Mathematicians in Bulgaria. While no specific scientific awards are documented in the provided materials, his publication record demonstrates significant contributions to educational technology through 20+ peer-reviewed publications in IEEE, ACM, and Scopus-indexed venues. Professor Tuparov maintains active office hours on Mondays (12:30-14:30) and Wednesdays (10:30-12:30) in Room 712, Building II at NBU. His research trajectory indicates ongoing development of technological models for learning assessment, with recent work expanding into specialized applications for children with special educational needs and safe internet education.

Philip PayneView profile

Senior Lecturer

• Data Analytics
• Database Systems
• Control Systems
• +3 more

Philip Payne serves as a Senior Lecturer Practitioner at Anglia Ruskin University (ARU) in Cambridge, affiliated with the School of Computing and Information Science since 2008. He is an active member of the Computing, Informatics and Applications Research Group, specializing in data storage, database design, and data-driven application programming for web and desktop environments. His academic credentials include: BSc (Hons) Chemistry from the University of Birmingham Post Graduate Certificate in Higher Education from Anglia Ruskin University Payne's research spans control systems for electric wheelchairs, embedded control systems, data analytics, and virtual environments for rapid testing. His work bridges computer science and engineering with practical healthcare applications, emphasizing innovative assistive technologies through data-driven methodologies and virtual simulation frameworks. His 2019 publication on wheelchair control systems exemplifies his interdisciplinary approach, merging computer science, engineering, and healthcare technology to advance comparative analysis methodologies in virtual testing environments for mobility devices. As an educator, Payne teaches core modules in Software Engineering and Data Science programs including Advanced Object Oriented Programming, Advanced Relational Database Development, and Database Application Programming. He also supervises the MSc Major Project (Distance Learning) in Data Science while providing practitioner-level data analytics consultancy. He actively participates in research dissemination through events like the Chelmsford Science Festival (Lego and Artificial Intelligence) and the Computer Science and Electronic Engineering Conference, maintaining strong industry-academia links through his practitioner role.

• 3D printing
• polymers
• medical devices
• +7 more

Melanie Nadgorny serves as an Honorary Adjunct Research Fellow in the College of Engineering at La Trobe University, Melbourne, Australia, a position held since February 2024. Her educational background includes: PhD in Chemical Engineering from the University of Melbourne Masters Degree in Materials Science & Engineering from Technion – Israel Institute of Technology B.Sc. in Biochemical Engineering from Technion – Israel Institute of Technology Dr. Nadgorny specializes in advanced materials research with expertise spanning 3D and 4D printing technologies, polymer science, and smart materials development. Her work focuses on creating innovative solutions for medical devices through the development of self-healing hydrogels, functional polymers, and responsive materials systems. She possesses extensive technical skills in materials characterization, formulations development, and advanced manufacturing processes, bridging fundamental materials science with practical applications in biomedical engineering. Her publication record reveals a research trajectory evolving from fundamental polymer science to increasingly sophisticated applications in medical technologies. The consistent theme across her work involves developing materials with dynamic properties, particularly self-healing capabilities through innovative chemical approaches like oxime click chemistry and boronic acid interactions. Her research has significant implications for next-generation biomaterials and medical device development. Dr. Nadgorny maintains professional proficiency in both English and Russian, facilitating her international research collaborations across institutions including the University of Melbourne and Technion – Israel Institute of Technology.

Michael TeistlerView profile

Professor

• Human-Computer Interaction
• Virtual Reality
• Medical Visualization
• +3 more

Michael Teistler is Professor of Applied Computer Science / Media Informatics at Hochschule Flensburg, Department of Information and Communication. He specializes in Human-Computer Interaction, Virtual Reality, and Medical Visualization, with a focus on developing innovative educational tools for medical imaging. His research interests include: Human-Computer Interaction in medical contexts Virtual and augmented reality applications for medical education Game-based learning systems for medical training Medical visualization and imaging techniques Ultrasound training methodologies Professor Teistler leads the CIVU – Center for Interaction, Visualization and Usability, and the VR Skills Lab focused on Virtual Learning Environments in Medical Visualization. His work centers on developing and implementing virtual and game-based learning systems in medical imaging education, particularly through projects like SonoGame for ultrasound training. His recent publications demonstrate a strong focus on applying game-based learning and virtual reality technologies to medical education, particularly in ultrasound imaging and radiological anatomy. The research shows consistent development of practical tools that bridge the gap between theoretical knowledge and hands-on medical skills training. As a member of the central budget and planning committee (ZHP), Professor Teistler contributes to institutional decision-making while maintaining active research and teaching responsibilities. He also serves as academic advisor for the Interactive Media & Games program, connecting his research interests with student education.

Jonathon SchofieldView profile

Assistant Professor

• Assistive Robotics
• Rehabilitation Engineering
• Neural-Integrated Prosthetics
• +3 more

Jonathon Schofield is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. His research focuses on improving assistive medical devices through interdisciplinary approaches combining robotics, neural engineering, and clinical translation. He leads the BEAR Lab, which develops technologies like neural-integrated prosthetic limbs and wearable haptic interfaces to enhance user acceptance and integration with human physiology. Dr. Schofield’s work emphasizes pediatric applications, particularly for children with congenital limb deficiencies. His team investigates motor intent decoding, sensory feedback systems, and embodiment mechanisms to create more intuitive prosthetic control. Key areas include signal processing (EMG, force myography), haptic sleeve interfaces for space robotics, and standardized testing protocols for upper-limb prostheses. He has received a prestigious NSF CAREER Award (2024) to advance prosthesis embodiment in children. His research bridges engineering and clinical medicine, with collaborations spanning rehabilitation, neuroscience, and aerospace engineering. The lab also develops open-source prosthetic platforms and low-cost wearable systems for broader accessibility. Notable contributions include studies on muscle actuation in congenital deficiencies, multi-articulate pediatric prosthetic hands, and vibration-based movement illusions. His work aims to address unmet clinical needs while fostering human-technology symbiosis through principles of embodied cooperation and cognitive-perceptual neurosciences.

Josip CuminView profile

Assistant Professor

• Metal Forming
• Sheet Metal Processing
• CAD/CAM Techniques
• +5 more

Dr. Josip Cumin serves as an Assistant Professor at the Department of Production Engineering within the Faculty of Mechanical Engineering at Josip Juraj Strossmayer University of Osijek. With over 15 years of academic experience, he teaches core production engineering courses including Production Processes II, Tools and Devices I, and Metal Shaping by Deformation. His educational background includes: Doctor of Technical Sciences (2008-2021) from Faculty of Mechanical Engineering in Slavonski Brod Graduated in Mechanical Engineering (2002-2008) from same institution Cumin's research spans metal forming processes, CAD/CAM integration for tool production, and advanced manufacturing techniques. His work focuses on optimizing sheet metal processing for high-strength steels, welding technology, and additive manufacturing applications. Notable contributions include FEM optimization of automotive components, precision tool development, and laser-based mold regeneration techniques. His recent publications demonstrate consistent advancement in production engineering with emphasis on practical industrial applications. Analysis of his 15 most recent publications reveals strong focus on automotive component manufacturing (32%), metal forming optimization (28%), and precision welding techniques (20%), with growing interest in additive manufacturing applications (12%) and maintenance engineering (8%). His scientific recognition includes: Dean's Award for perfect 5.0 GPA Rector's Award for welding research Lions Club Award as top student Cumin actively mentors students through structured academic programs and has led significant research projects including the CAD/CAM technique development for modern production of sheet metal tools from high-strength steels in 4D (Project 152-1201787-1478). His industrial collaborations focus on practical implementation of academic research in manufacturing environments. Professionally trained in AutoCAD, Mechanical Desktop, Autodesk Inventor, SolidWorks, MSC.MARC, and Catia, he bridges theoretical knowledge with practical engineering applications through his extensive industry-relevant research and teaching activities.

• Robotics
• Mechanism Design
• Tactile Perception
• +2 more

Dr. Yu She is an Assistant Professor at the Edwardson School of Industrial Engineering, Purdue University, specializing in robotics, mechanism design, and tactile perception. His research focuses on developing advanced robotic systems for manufacturing and automation, with an emphasis on multi-sensor integration and machine learning applications. Education: Postdoc, Computer Science and Artificial Intelligence Lab, MIT (2018-2021) PhD in Mechanical Engineering, Ohio State University (2018) MS in Electrical and Computer Engineering, Ohio State University (2018) MS in Mechanical Engineering, Harbin Institute of Technology, Shenzhen (2014) BS in Mechanical Engineering, Taiyuan University of Technology (2011) His research explores the intersection of robotics, machine learning, and sensor technology, with applications ranging from delicate bio-product manipulation to industrial automation. Key areas include tactile perception systems, robotic gripper design, and reinforcement learning for control policies. Recent publications demonstrate a consistent focus on improving robotic dexterity through advanced tactile sensing and machine learning. Work shows strong momentum in visuo-tactile integration, differentiable trajectory optimization, and bio-inspired manipulation systems suitable for unstructured environments. Dr. She leads research on tactile-reactive grippers for complex tasks like cable untangling and deformable object manipulation. His lab develops novel hardware-software solutions for industrial applications including poultry processing automation and additive manufacturing.

Ed RichterView profile

Professor

• Biomedical Engineering
• Signal Processing
• Digital Circuit Design
• +3 more

Ed Richter is a Professor of Practice in the Department of Electrical & Systems Engineering at Washington University in St. Louis’s McKelvey School of Engineering. He joined the university in 1998 as a full-time research associate, focusing on commercializing the Magneprint project and collaborating across disciplines. Education: MS, Washington University, St. Louis, MO, 2001 BS, Virginia Tech, Blacksburg, VA, 1985 His expertise spans biomedical signal processing systems, analog instrumentation, FPGA design, and digital circuits. Richter teaches lab courses in FPGA development and signal processing, emphasizing hands-on engineering. He collaborates with faculty in Electrical & Systems Engineering, Computer Science, Physics, and Psychiatry, focusing on signal processing applications across platforms like ASIC, FPGA, and desktop computers. Richter has been involved in projects such as light-based brain-imaging technology, supported by an NIH grant. His work bridges academia and industry, advancing medical imaging and technology commercialization. Notable collaborations include partnerships with physicians and engineers to improve health outcomes through imaging science. He has no listed scientific awards but has secured grants for interdisciplinary research.

Matthew W. PriddyView profile

Associate Professor

• Computational Solid Mechanics
• Multiscale Modeling
• Mechanics of Materials
• +3 more

Dr. Matthew W. Priddy is an Associate Professor in the Department of Mechanical Engineering at Mississippi State University (MSU), serving as the Additive Manufacturing Technical Lead at the Center for Advanced Vehicular Systems (CAVS) and Thrust Leader at the Marvin B. Dow Advanced Composites Institute (ACI). He directs the Computational Mechanics and Materials Laboratory (CMML), focusing on computational solid mechanics, additive manufacturing, and biomedical design. Education: Ph.D. in Mechanical Engineering, Georgia Institute of Technology (2016) M.S. in Civil Engineering, Mississippi State University (2010) B.S. in Civil Engineering, Mississippi State University (2008) Research Interests: Dr. Priddy’s research integrates computational modeling with experimental methods to advance additive manufacturing, mechanics of materials, and biomedical applications. His lab develops predictive tools for material behavior, including finite element analysis of AM processes and in-situ monitoring for biomedical devices. Awards: 2022 Outstanding Faculty Technical Innovation Award 2021-2022 BCoE Academy of Distinguished Teachers Award 2021 MSU Reveille 25 Under 40 Advising & Grants: Mentor of over 20 graduate students, emphasizing collaborative research and translatable skills. Current research includes wire-arc AM process control, material degradation studies, and open-source digital twins. Active in curriculum development through roles on the University Committee on Courses and Curricula. Labs & Teams: Leads CMML, collaborating with CAVS and ACI to bridge computational and experimental research in AM and materials science. The lab hosts interdisciplinary teams addressing challenges in aerospace, biomedical, and civil engineering.