جست‌وجوی استاد و پژوهشگر

Nikita Kovalمشاهده پروفایل

پژوهشگر

• Concurrent Programming
• Kotlin Coroutines
• Concurrent Data Structures
• +۶ مورد دیگر

Nikita Koval is a Researcher at JetBrains , specializing in concurrent programming, Kotlin coroutines, and testing frameworks. His work bridges academic research with industrial application, focusing on synchronization primitives, lock-free data structures, and JVM-based concurrency tools. Academic rank: Researcher Affiliation: JetBrains Research interests include: Concurrent algorithm design and optimization Formal verification of synchronization mechanisms Testing frameworks for JVM-based languages Memory-efficient lock-free data structures Scalability in coroutine communication Distributed systems debugging Publication trends show a focus on Kotlin coroutines, JVM concurrency, and testing frameworks like Lincheck. His work spans algorithm design (union-find, queues), formal verification (CQS), and practical tools for concurrency testing (Lincheck) across conferences like PPoPP, PLDI, and ECOOP. Scientific recognition: Nikita received the Best Paper Award at OPODIS 2019 for his work on concurrent union-find algorithms. His contributions to Lincheck and CQS have been adopted into Kotlin's core libraries. Workshop leadership: He offers a 4-day corporate workshop on concurrent algorithms, covering testing, debugging, and implementation of lock-free data structures, now booked for Q3/Q4 2025. The curriculum includes hands-on Java/Kotlin coding with topics like segment queues, fetch-and-add queues, flat combining, and concurrent hash tables.

David Franklinمشاهده پروفایل

دانشیار

• Neuromuscular Diagnostics
• Sensorimotor Control
• Computational Neuroscience
• +۳ مورد دیگر

Prof. David Franklin is an Associate Professor for Neuromuscular Diagnostics at TUM School of Medicine and Health since 2016. His research integrates computational and experimental approaches to understand sensorimotor control, utilizing robotics and virtual reality. He holds a PhD in Neuroscience from Simon Fraser University (2005) and conducted postdoctoral research at the University of Cambridge, supported by a Wellcome Trust Fellowship (2010). Franklin's research focuses on the physiological and computational basis of neuromuscular movement control, examining how the nervous system adapts to environmental changes. Key areas include motor learning dynamics, haptic communication in human-robot collaboration, and neural mechanisms underlying sensorimotor adaptation. His awards include the Best Paper Award at WeRob Conference (2018), the Governor General of Canada’s Gold Medal (2005), and the Japanese Neural Network Society Research Award (2002). His work spans biomechanical modeling, neuroprosthetics, and clinical applications of sensorimotor research. Franklin collaborates on grants related to digital twin methodologies and musculotendon modeling, contributing to advancements in wearable sensor technology and human-robot interaction.

• Education Policy
• Digital Transformation in Healthcare
• Sociology
• +۵ مورد دیگر

Sarah Aldrian is a Researcher at Hochschule Burgenland's Health and Social Care department, concurrently affiliated with the University of Graz's Institute for Education and Educational Science. Her work bridges academic research with practical societal challenges, focusing on education systems, digital transformation in healthcare, and social equity. She holds a Master's degree (MA) and contributes to interdisciplinary projects addressing generational dynamics, value-based organizational practices, and pandemic response strategies. Her research portfolio includes studies on Sri Lanka's educational challenges, women's health in sports, and university equity initiatives like the Uni4Equity project. She has also explored telemedicine's role during the pandemic and collaborative learning in digital environments. Key collaborations include work with Filodiritto Editore and the FFH Forschungsforum. Notable projects include evaluating dementia care programs and analyzing generational value systems' impact on workplace efficiency. Her contributions span academic publications, policy-relevant research, and empirical analyses using register data and qualitative methodologies.

• Multisensory Perception
• Physiological Computing
• Neurofeedback
• +۵ مورد دیگر

Aleksander Väljamäe is an Associate Professor in Physiological Computing at Tallinn University's School of Digital Technologies (HCI group) and a Grant Consultant at Tartu University. His research focuses on multisensory perception, physiological computing, and neurofeedback applications in brain disorders, BCI, and neurocinema. He has held postdoctoral roles at institutions like Pompeu Fabra University and Graz University, and was a Marie Skłodowska-Curie Fellow (2013–2015). He actively participates in EU projects (e.g., Future BNCI) and art-science collaborations, such as the Multimodal Brain Orchestra. His administrative roles include chairing Tallinn University’s internal research committee and advising for the European Commission and Italian Ministry of Health. Education: PhD in Applied Acoustics (Chalmers University, 2007) M.Sc. in Digital Communication (Chalmers, 2003) BSc in Radio Engineering (Tallinn University of Technology, 2000) Research Interests: Developing novel methods for diagnosing brain disorders (e.g., depression, migraine) using audiovisual media and BCI. Explores wearable technologies, affective computing, and the psychophysiology of emotion. Recent projects include SoniWeight Shoes (2024) and Magic Lining (2019), which investigate body-perception modulation via wearable devices. Grants & Awards: Marie Skłodowska-Curie International Outgoing Fellowship (2013–2015). Active in EU-funded initiatives like POEMS and BrainAble. Labs/Teams: Leads the HCI group at Tallinn University, collaborating with institutions globally. Co-developed the eXperience Induction Machine for mixed-reality interaction studies.

• Human-Computer Interaction (HCI)
• Accessibility Technology
• Assistive Technologies
• +۳ مورد دیگر

Kotaro Hara is an Assistant Professor at Singapore Management University's School of Computing and Information Systems and a member of the SMU HCI Research group. His research focuses on Human-Computer Interaction (HCI) and accessibility, designing technologies to enhance independence and inclusion for people with disabilities. He holds a PhD in Computer Science from the University of Maryland, College Park, advised by Dr. Jon Froehlich, and a BEng from Osaka University, advised by Dr. Fumio Kishino. Previously, he was a Postdoctoral Fellow at Carnegie Mellon University and a Research Intern at Microsoft Research Redmond. His work spans interactive tools for accessibility, leveraging crowdsourcing and machine learning to address challenges in urban accessibility mapping, crowd work fairness, and assistive technologies for visually impaired individuals. He has received numerous awards, including the CHI 2024 Honorable Mention Award and the Lee Kong Chian Fellowship, and has contributed to influential projects like Project Sidewalk. Hara has taught courses such as Interaction Design and Prototyping at SMU and has mentored over 40 students across graduate, undergraduate, and visiting programs. His grants total over $1.9 million, including leadership in projects like 'Improving Fairness and Accessibility of Crowd Work' and 'Mobile-Friendly Data Visualization.' He actively serves in roles such as CHI 2025 Accessibility Co-Chair and IMWUT Associate Editor, promoting accessibility and ethical HCI practices globally.

• Energy Communities
• Peer-to-Peer Energy Trading
• Microgrid Management
• +۳ مورد دیگر

Dr. Morsy Abdelkader Morsy Mohammed Nour serves as a Guest Researcher (RF4) in the Distributed Resources, Networks and Flexibility area at the Technological Research Institute (IIT) of Comillas Pontifical University, Madrid, since December 2024. His academic foundation includes electrical engineering expertise with a focus on next-generation power systems. His educational journey comprises: BSc in Electrical Engineering from Aswan University, Egypt MSc in Electrical Engineering from Budapest University of Technology and Economics, Hungary PhD from Comillas Pontifical University, Spain (2024) Dr. Nour's research pioneers the integration of decentralized energy resources through blockchain-enabled peer-to-peer trading, microgrid optimization, and frequency stability solutions. His work bridges theoretical control systems with real-world grid applications, particularly addressing challenges in low-inertia networks and electric vehicle integration. Recent publications demonstrate exceptional rigor in techno-economic modeling of local energy markets. Analysis of his 14 publications (2019-2025) reveals consistent focus on distributed energy resource management, with 70% examining peer-to-peer trading mechanisms and 60% addressing grid stability impacts. Key methodological trends include fractional-order control systems, stochastic optimization under uncertainty, and comprehensive techno-economic assessments tailored to regional contexts like Egypt. His research is supported by competitive grants including OptiREC (Spanish Ministry of Science, 2022-2025) and BeFlex (European Commission, 2022-2026), focusing on market design for energy communities and grid flexibility enhancement. Current projects involve collaboration with Fraunhofer Institute and GRUPO OMI on electric vehicle integration strategies.

• High-Performance Interconnection Networks
• Computer Architecture
• Network Simulation
• +۷ مورد دیگر

Francisco J. Andújar Muñoz is an Associate Professor at the University of Valladolid in the Department of Computer Science since January 2024. His career spans multiple institutions including Universidad de Castilla-La Mancha (2008-2015) and Universitat Politècnica de València (2017-2018), with academic roles ranging from Research Assistant to Juan de la Cierva Formación Researcher. PhD in Advanced Computer Science Technologies (2011-2015) MsC in Advanced Computer Science Technologies (2010-2011) Computer Science Engineering (2008-2010) Computer Science Technical Engineering (2004-2008) His research focuses on high-performance interconnection networks , with significant contributions to quality-of-service mechanisms, energy-efficient network topologies, and heterogeneous programming optimization. He maintains the open-source VEF Traces framework for network workload modeling. Recent publications (2023-2025) demonstrate expertise in FPGA high-level synthesis portability, SYCL-based GPU optimization, and machine learning applications for Twitch streaming analysis. His work combines theoretical network design with practical implementations in the Journal of Supercomputing and IEEE Transactions on Computers .

• Chemistry Education
• Organic Chemistry
• Flipped Classroom Pedagogy
• +۳ مورد دیگر

Mike Christiansen serves as an Associate Professor in the Chemistry and Biochemistry Department within Utah State University's College of Arts & Sciences, with a dual appointment at the USU Uintah Basin campus in Vernal, Utah. His academic positions encompass both the main Logan campus and statewide delivery systems, reflecting his commitment to accessible chemistry education across Utah's distributed campus network. Christiansen's research centers on transformative chemistry education methodologies, particularly flipped classroom models and technology-enhanced learning. His work spans organic chemistry pedagogy, statewide mentoring initiatives, and emerging applications of generative AI in educational contexts. He has pioneered broadcast-delivered chemistry courses using interactive video conferencing systems, creating scalable models for geographically dispersed instruction while maintaining rigorous academic standards. Analysis of his 15 most recent publications reveals a consistent trajectory toward educational innovation, with recent work focusing on generative AI applications and formal mentoring systems. His scholarship demonstrates a progression from synthetic organic chemistry (evidenced in 2020 cancer research) to dedicated chemistry education research, with increasing emphasis on technology integration and systemic mentoring solutions since 2015. Christiansen has developed comprehensive mentoring frameworks documented in practical handbooks and statewide program implementations. His educational technology contributions include extensive video resource libraries, e-book authoring systems, and assessments of AI-generated chemistry problems. While no specific awards are documented in available materials, his leadership in statewide faculty-to-student mentoring initiatives represents significant institutional impact. He actively integrates student-designed research projects into undergraduate chemistry curricula, particularly in organic chemistry laboratories, fostering authentic research experiences. His statewide mentoring program coordination demonstrates commitment to scalable student support systems, though specific grant details remain undocumented in source materials. Christiansen's laboratory and team efforts focus on virtual chemistry education infrastructure, developing multi-site broadcast models that maintain laboratory rigor through innovative synchronization techniques. His work establishes frameworks for delivering high-fidelity chemistry instruction across Utah's diverse geographic landscape while leveraging emerging technologies for enhanced student engagement.

Mengyan Maمشاهده پروفایل

استادیار

• Health Communication
• Family Communication
• Social Media and Influencer Marketing
• +۴ مورد دیگر

Mengyan Ma is an Assistant Professor in the Department of Advertising and Public Relations at the College of Communication Arts and Sciences, Michigan State University. She teaches courses including Social Media and Communication, Advertising Message Strategy, and Research Methods across in-person, synchronous, and asynchronous formats. She directs the Education Abroad Program 'International Advertising in China,' providing students with practical experience in China's dynamic market. Her educational background includes a Ph.D. in Media and Information Studies (2021) and a Master's in Advertising (2015), both from Michigan State University, where she earned Graduate Certificates in Community Engagement and Advertising Ethics. She completed her Bachelor's degree in Finance at Wuhan University, China, in 2013. Dr. Ma's research explores health communication, family dynamics, and emerging media through a social ecological framework, investigating how strategic messages influence beliefs, trust, and relationships across interpersonal and societal levels. Using mixed-methods and community-engaged approaches, her work develops ethical interventions promoting well-being and social responsibility, with specific focus on influencer marketing, AI, eating behaviors, and psychological well-being. Her recent publications (2024-2025) reveal strong interdisciplinary trends connecting family communication (particularly first-generation college student experiences) with advertising education and telemedicine applications. These works appear in high-impact journals like Journal of Family Communication and Journal of Advertising Education, demonstrating how communication strategies bridge health, education, and technology domains. Her scientific recognition includes: College fellowship for Community-Engaged Scholarship Top Paper Abstract at the 2025 Midwinter AEJMC Conference Dr. Ma actively contributes to community-engaged scholarship as an affiliate faculty of the Health and Risk Communication Center (HRCC) and collaborator of the Family Communication and Relationship (FCR) Lab. She secured the Trifecta Grant (2025-2026) for influencer marketing research on THC-infused beverages to inform public health initiatives. Her academic service spans MSU committees including Excellence-in-Teaching Citation and ADPR Department Research Resources. As International Coordinator for AEJMC's publishing team and Editorial Board member of Global Perspectives in Communication, she advances international scholarly exchange while directing MSU's Education Abroad Program in China.

Zerrin Yumakمشاهده پروفایل

استادیار

• Virtual Humans
• Social Robotics
• Affective Computing
• +۳ مورد دیگر

Zerrin Yumak is an Assistant Professor at the Department of Information and Computing Sciences, Faculty of Science, Utrecht University, specializing in virtual humans and social robotics. She leads Task 3.2: Embodiment and Physical Interaction in the RAGE project. Her research focuses on Social and emotional behavior analysis for virtual characters Machine learning applications in motion capture data Constrained motion graph search algorithms Lip-sync and gesture animation generation Real-time multimodal interaction systems Notable projects include the Virtual Human Controller asset for Unity 3D, integrated with BiP Media and Randstad applications. Recent work spans 2025: SemGes for semantics-aware gesture generation 2024: ProbTalk3D emotion-controllable facial animation 2023: Diffusion model-based facial animation (Facediffuser) 2020: Music-driven expressive gesture generation She contributes to workshops like GENEA (2021-2022) and MASSXR (2025), advancing non-verbal behavior modeling for embodied agents.

Corey Clarkمشاهده پروفایل

استادیار

• Artificial Intelligence
• Game Development
• Human Computation
• +۴ مورد دیگر

Corey Clark, Ph.D., serves as Deputy Director of Research and Assistant Professor in the Department of Computer Science and Engineering at Southern Methodist University's Lyle School of Engineering. He leads the Human and Machine Intelligence (HuMIn) Game Lab, pioneering research at the intersection of gaming, artificial intelligence, and human computation to solve large-scale problems in healthcare, education, and national security. Dr. Clark holds a Ph.D., M.S., and B.S. in Electrical Engineering from The University of Texas at Arlington, where he graduated Magna Cum Laude for his undergraduate degree. His doctoral research focused on nanoscale modeling and simulation techniques for Molecular Beam Epitaxy and Chemical Vapor Deposition of exotic materials. His research spans Artificial Intelligence, Game Development, Human Computation, Distributed Computing, Machine Learning, Computational Biology, and Educational Technology. Clark is renowned for transforming commercial video games into distributed computing platforms through human computation, enabling breakthroughs in medical diagnostics and educational technology. His technical innovations in HTML5/JavaScript multithreading have been featured at major international game conferences. Analysis of Clark's 15 most recent publications (2022-2024) reveals a dominant focus on generative AI applications integrated with gaming mechanics, particularly for knowledge graph enhancement, medical diagnostics, and computational thinking education. Key trends include explainable AI systems, human-AI collaboration through gameplay, blockchain applications, and privacy-preserving machine learning, demonstrating consistent innovation in applying game-based approaches to real-world problems. Dr. Clark has secured over $1.7 million in competitive research funding, including: Human Computation for Ocular Tomography Analysis ($62,924) with Retina Foundation Cryptocurrency Transactional Analysis via Gaming ($60,000) with Raytheon Game-Based Adult Literacy (XPrize) ($480,000) Flexible Electronics for Airborne Laser ($820,000) with Missile Defense Agency Networked C4ISR Chip ($850,000) with US Army As CTO for Dallas-based game technology companies, Clark has helped raise over $12 million in startup funding. His HuMIn Game Lab currently develops immersive gameplay systems for cancer treatment research using crowdsourced computation and machine learning, with recent projects including therapeutic discovery platforms and blockchain-based task completion systems.

Alexandra Covaciمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Human-Computer Interaction
• Multisensory Media
• +۳ مورد دیگر

Dr. Alexandra Covaci is a Senior Lecturer in Digital Arts and Technology at the University of Kent, where she also serves as Deputy Head of School. Her office is located in the Jennison Building on the Canterbury campus. She teaches the undergraduate module Introduction to Virtual Reality (EL681) , focusing on VR principles and hands-on development using mobile/desktop headsets. Her research intersects virtual reality, multisensory media, human-computer interaction, and psychology. Key interests include: Leveraging VR for transformative applications (e.g., skills training for cognitive disabilities) Designing systematic multisensory experiences (visual, auditory, haptic, olfactory) Perceptual media quality and collaborative VR environments for data visualization Her publications (2019–2025) reveal strong emphases on: Healthcare VR : Dementia care, wheelchair training, and autism support Multisensory QoE : Cross-modal perception, olfactory/haptic feedback, and AV synchronization Imaging & Interaction : Light-field reconstruction, passive haptics, and conversational agents She actively supervises students in VR social scenarios, AR interaction, and complex data visualization. No awards or grants are mentioned in the source material.

Qi Fengمشاهده پروفایل

استادیار

• Deep Learning
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

Qi Feng is an Assistant Professor at the Faculty of Science and Engineering, Waseda University, specializing in deep learning applications for computer graphics and vision, with a focus on virtual and augmented reality. He holds a Doctor of Engineering (2022), Master of Engineering (2019), and Bachelor of Engineering (2017) from Waseda University. Research Interests: His work spans 3D reconstruction, depth estimation, occlusion handling, and multimodal systems integrating eye tracking and speech recognition. Notable projects include SyncViolinist for audio-driven motion generation and the Depth360 dataset for omnidirectional imaging. Publications: Qi's research has been featured in top conferences like CHI, ISMR, ICCVW, and journals such as The Visual Computer. His articles emphasize practical solutions for immersive environments, language learning, and synchronized audio-visual editing. Contact: Email: fengqi@ruri.waseda.jp

Abdelhakim SAIMمشاهده پروفایل

مدرس ارشد

• Control of electrical microgrids
• Control of power electronic converters
• Power quality and stability of microgrids
• +۴ مورد دیگر

Dr. Abdelhakim SAIM serves as a Senior Lecturer in the Department of Electrical Engineering at Polytech Nantes, University of Nantes, where he teaches Power electronics, analog electronics, electrical system control, and introduction to Smart Grids. His academic home is the Department of Electrical Engineering within Polytech Nantes at the Gavy Campus in Saint-Nazaire. Dr. Saim's research focuses on the control of electrical microgrids, power electronic converters, power quality and stability of microgrids, and maritime microgrids. His work bridges theoretical control strategies with practical implementation, addressing critical challenges in renewable energy integration and grid stability. He has developed advanced control methodologies including adaptive fuzzy control, fractional controllers, and virtual impedance techniques to enhance microgrid performance. Analysis of his publication trends from 2016-2026 reveals a consistent research trajectory with increasing emphasis on AI applications for microgrid design, maritime electrical systems, and optimal energy management in multi-energy systems. His work spans theoretical control algorithms to practical implementation in renewable energy systems, with particular attention to stability challenges in islanded operations. Dr. Saim maintains an active research program with numerous collaborations, particularly with Josep M. Guerrero, Azeddine Houari, and Mohamed Machmoum. His supervision likely focuses on graduate students working on microgrid control systems, power electronics, and renewable energy integration. While specific grant information isn't detailed, his continuous publication record suggests ongoing research funding. His research group appears to focus on practical implementation of advanced control strategies for electrical systems, with growing interest in maritime applications and AI-enhanced microgrid management. Students in his group would gain expertise in both theoretical control methods and hands-on implementation of power electronic systems for modern energy applications.

• Aircraft Maintenance
• Condition-Based Maintenance
• Prognostics and Health Management
• +۴ مورد دیگر

Dr. W.J.C. Verhagen is a researcher in the Operations & Environment department at Delft University of Technology's Faculty of Aerospace Engineering. His scholarly work focuses on the critical intersection of aircraft maintenance systems, data analytics, and operational optimization. With 88 research outputs spanning articles, conference contributions, and book chapters, he maintains an active research profile in aerospace engineering. His research interests center on condition-based maintenance , prognostic methodologies , and anomaly detection systems for aircraft and spacecraft. Recent work emphasizes the integration of machine learning techniques like CNN-LSTM networks for remaining useful life prediction and the development of generic diagnostic frameworks applicable across aerospace platforms. His fingerprint analysis shows strong expertise in aircraft engineering (73%), maintenance systems (72%), and data-driven models (56%). Analysis of his 15 most recent publications reveals a clear trajectory toward practical implementation of predictive maintenance systems, with increasing focus on real-time decision support and economic viability. The 2023-2024 publications demonstrate growing industry relevance, particularly in aviation maintenance optimization and spacecraft health monitoring. Dr. Verhagen actively contributes to the academic community through editorial roles at IOS Press and Springer. While no specific awards are listed in the profile, his work shows significant scholarly impact with multiple publications accumulating high download counts and reader metrics. His supervision portfolio includes 5 graduate research projects, indicating active mentorship of the next generation of aerospace engineers. The completed ReMAP project demonstrates his capacity to lead multi-institutional research efforts focused on real-time maintenance planning for aircraft systems. Current research appears to be building on this foundation with increasingly sophisticated data-driven approaches to maintenance optimization.