جست‌وجوی استاد و پژوهشگر

Yasir Zakiمشاهده پروفایل

استادیار

• Communication Networks
• Wireless Networks
• Cellular Communication
• +۹ مورد دیگر

Yasir Zaki is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He leads the Communication Networks Lab, focusing on next-generation communication systems, performance optimization, and digital equity. University: New York University Abu Dhabi School: Courant Institute of Mathematical Sciences Department: Department of Computer Science Academic Rank: Assistant Professor Email: yz48@nyu.edu Dr. Zaki holds an MSc and PhD in Communication and Information Technology from the University of Bremen, graduating with honors. His research centers on communication and wireless networks, cellular systems, congestion control, and enhancing internet access in developing regions. His work bridges theory and real-world impact, especially in digital inclusion and AI's role in education. His recent publications span top venues like PNAS, IEEE TCSS, and ACM IMC, covering topics such as satellite network performance, digital inequality (Lite-Web), AI in education, and Big Tech's global influence. These works reveal a strong trend toward socially impactful computing, network measurement at scale, and algorithmic transparency. Big Tech Dominance Despite Global Mistrust Perception of AI in Education YouTube's Political Bias Lite-Web for Digital Equity Satellite Network Analysis His research has been recognized through high-profile media coverage in Nature and The National , and his PhD student Hazem Ibrahim received the MIT Technology Review Arabia’s Innovators Under 35 MENA 2023 award. This reflects the lab's excellence in computational social science and AI policy. Dr. Zaki mentors students in the Capstone and Research Seminar courses and actively advises PhD and research assistants. He has secured research funding through NYUAD and collaborative projects, enabling field deployments in 56 countries. His lab, the Communication Networks Lab, fosters interdisciplinary work, involving researchers from computer science, social sciences, and policy.

• Music Technology
• Digital Signal Processing
• Feedback Systems
• +۹ مورد دیگر

Øyvind Brandtsegg is a Professor in the Department of Music at the Norwegian University of Science and Technology (NTNU), Faculty of Humanities. His work integrates music technology, sound art, and performance through innovative digital systems and artistic research. Research Interests: His primary research areas include digital signal processing , feedback systems , granular synthesis , convolution , artificial intelligence in music , and improvisation . He explores how technology enables new forms of musical expression, especially in live performance and sound installations. His projects often simulate natural processes or use AI to generate dynamic sonic environments. Recent Publications & Artistic Output Trends: Over the past few years, his work has focused on crossadaptive audio processing, real-time interaction systems, and immersive installations. Themes include environmental sound, mechanical music, and the limits of human-machine collaboration. His output spans scientific articles, software, compositions, performances, and exhibitions, reflecting a strong integration of research and artistic practice. Scientific Awards: No specific awards listed in the provided text. Advising and Grants: Brandtsegg supervises multiple doctoral and artistic research students, often in collaborative, interdisciplinary projects. He has led research initiatives such as the Crossadaptive Processing project and organized the Live Interfaces conference. He has received project funding for artistic research and technology development, though specific grants are not detailed. Labs and Teams: He is affiliated with the Trondheim EMP (Electroacoustic Music Performance) group and contributes to the GDSP (Global Digital Sound Processing) platform. His work is often collaborative, involving researchers and artists across institutions in Norway and internationally.

• Computer Science
• Virtual Reality
• Character Animation
• +۶ مورد دیگر

Núria Pelechano Gómez is a Professor at the Universitat Politècnica de Catalunya (BarcelonaTech) , affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Science (CS) . Her work focuses on Virtual Reality , Crowd Simulation , and Character Animation , with a particular emphasis on immersive environments and user interaction. Education: Master's Degree in Innovation and Research in Computer Science (2012) Degree in Computer Engineering (2010) Master's Degree in Computing (2006) Her research explores the integration of Virtual Reality with Artificial Intelligence to enhance user experiences through dynamic crowd modeling, realistic animations, and adaptive navigation techniques. Recent projects highlight her expertise in Motion Matching , Immersive Simulation , and Physics-Based Animation . Key trends in her publications include: Advancements in Virtual Environments and 3D Modeling . Applications of Machine Learning in Navigation Interfaces . Development of Realistic Crowd Behavior and Social Interaction Systems in VR. Focus on User-Centric Design and Embodiment Techniques . Núria has supervised numerous students on topics ranging from Emergency Scenario Modeling to MR Application Development for immersive systems, contributing to the evolution of Immersive Simulation and Game Development methodologies.

• Sports Science
• Biomechanics
• Human Movement Analysis
• +۴ مورد دیگر

Marlen Schapschröer is a Researcher at the Institute of Movement and Neurosciences at German Sport University Cologne. Her work focuses on biomechanical analysis of elite sprinting performance, particularly in para-athletes, with recent publications addressing acceleration mechanics, kinematic strategies, and training optimization. Research Themes : Biomechanics of sprint acceleration, individualized training frameworks, kinematic analysis of para-sprinters, and comparative studies between Olympic and Paralympic athletes. Collaborations : Active collaborations with Jonas Klein, Tom Oeppert, Björn Braunstein, and Robert Rein across multiple projects. Projects : Involved in ComeNet 2 (motor learning in digital sports education) and ComeSport (digitalization in sports teacher training) until 2026. Supervision : Supervised master's theses on acceleration training and biomechanical diagnostics. Peer Review : Participates in research proposal evaluations for biomechanical and sports science funding bodies. Publications emphasize individual movement patterns, kinematic strategies, and data-driven approaches to enhance sprint performance. Current work investigates shin roll mechanics, biomotor capacities, and cross-classification comparisons using cluster analysis.

Stephan Dilchertمشاهده پروفایل

دانشیار

• Industrial/Organizational Psychology
• Human Resource Management
• Personality Assessment
• +۸ مورد دیگر

Stephan Dilchert is an Associate Professor at the Zicklin School of Business, City University of New York (CUNY), where he serves as the Academic Director of the Executive MBA Program. He is affiliated with the Narendra Paul Loomba Department of Management. Previously, Dr. Dilchert served as Academic Director of the school's Executive Master's in Human Resource Management for seven years, demonstrating his leadership in executive education. Dr. Dilchert earned his PhD in Industrial/Organizational Psychology from the University of Minnesota in 2008. He also holds professional certifications including SPHR from the Human Resources Certification Institute (2014) and SHRM-SCP from the Society for Human Resource Management (2015), which complement his academic credentials with practical HR expertise. His research focuses on the influence of human capital characteristics such as personality and intelligence on employee job performance, including creativity and counterproductivity. Dr. Dilchert has published extensively in top journals and has co-edited the book 'Managing human resources for environmental sustainability.' His recent work has increasingly incorporated wearable sensor technology to examine physiological correlates of workplace behaviors and health outcomes, particularly through the TemPredict study. His research spans talent acquisition, people analytics, employee assessment, counterproductive work behaviors, and environmental sustainability. Dr. Dilchert's recent publications (2022-2025) reveal a strong interdisciplinary approach combining organizational psychology with digital health technologies. His work demonstrates growing interest in sex differences in physiological responses, environmental sustainability in organizations, and personality-environment alignment at work. The TemPredict study has been particularly influential in using wearable devices for early detection of health conditions including COVID-19, with significant contributions to understanding how physiological data relates to workplace behaviors and health outcomes. In his applied work, Dr. Dilchert has developed assessments and designed staffing and feedback systems for multinational corporations (P&G, MetLife, Otis, DHL), government agencies (Department of Justice, State of California), and international organizations (United Nations, Disability Rights Advocates). He has collaborated extensively with researchers including Deniz Ones and Boris Wiernik on meta-analytic studies examining personality-work relationships across cultural contexts. Dr. Dilchert teaches courses related to human resources, organizational behavior, and human capital management at both graduate and doctoral levels. His teaching portfolio includes 'HR Metrics and People Analytics,' 'Human Resources,' 'Fundamentals of Management,' and 'Human Capital & the Triple Bottom Line,' reflecting the breadth of his expertise in connecting individual differences to organizational outcomes.

Klaus Ingemann Pedersenمشاهده پروفایل

استاد

• Wireless Communication Networks
• Dependable Wireless Communications
• 5G-Advanced Technology
• +۱۰ مورد دیگر

Klaus Ingemann Pedersen is a Professor in the Department of Electronic Systems at the Technical Faculty of IT and Design, Aalborg University, Denmark. His research focuses on wireless communication networks and dependable wireless communications with substantial contributions to 5G-Advanced and 6G technologies. His research interests include: Wireless Communication Networks Dependable Wireless Communications 5G-Advanced Technology 6G Networks Radio System-Level Simulations Ultra-Reliable Low Latency Communication Heterogeneous Networks Professor Pedersen's recent work demonstrates cutting-edge research in next-generation wireless systems, with particular emphasis on deep reinforcement learning applications, link adaptation techniques, and system-level simulations. His publications show consistent high-impact output with 152 total publications spanning from 2012 to 2025, reflecting ongoing productivity and relevance in the rapidly evolving field of wireless communications. His notable achievements include: 5G-prisen (The 5G Award) received on October 23, 2019, shared with E. Mogensen and I.R. Larrad Professor Pedersen has supervised 8 PhD students according to institutional records. His research has practical applications in wireless communication, as evidenced by his involvement in patented technology 'Method and apparatus for wireless communication' which delivers social impact and quality of life improvements. His work shows strong international collaboration across multiple countries as indicated by the research network visualization.

• Digitalization
• Multi-Agent Systems
• Semantic Web
• +۵ مورد دیگر

Prof. Dr. Thomas Farrenkopf is a full-time Professor in the Department of Business Informatics at the Technische Hochschule Mittelhessen , serving as Dean of Studies . He leads the Business Informatics Bachelor program and specializes in digitalization, multi-agent systems, and AI-driven decision support. Expertise Areas : Industry 4.0, Smart Factory, Semantic Web, full-stack software development Contact : thomas.farrenkopf@mnd.thm.de Research Focus : His work bridges knowledge-based methods with practical applications in artificial intelligence, particularly through multi-agent systems for traffic modeling and business simulations. He developed AGADE Traffic (a knowledge-based traffic simulator) and ATHOS (a domain-specific language for multi-agent simulations), focusing on scalability and complexity reduction. Recent studies explore individual preferences' impact on traffic policies and agent-based feedback mechanisms in business contexts. Academic Contributions : With over 15 publications since 2013, his research spans agent-based modeling, semantic web applications, and smart manufacturing - notably improving throughput times in toolmaking by 90% through Industry 4.0 implementations. Teaching & Supervision : Actively supervises Bachelor's Practical Projects (BPP), providing guidance for internship-related academic work through structured evaluation processes and electronic reporting systems. Collaborations : Works with international researchers like Johannes Nguyen, Simon T. Powers, and Michael Guckert, publishing in venues such as SN Computer Science , Lecture Notes in Computer Science , and Journal of Artificial Societies and Social Simulation .

Koenraad Gieskesمشاهده پروفایل

مدرس

• Engineering Education
• Equity in Education
• Gender Disparities in STEM
• +۳ مورد دیگر

Koenraad Gieskes serves as a Lecturer and Assistant Director for the Engineering Design Division at Binghamton University's Thomas J. Watson College of Engineering and Applied Science . He holds both a BSME and MSME from Binghamton University and focuses on engineering education with an emphasis on equity, inclusivity, and active learning pedagogy. Education BSME, Binghamton University MSME, Binghamton University His research explores gender disparities in engineering education , group dynamics , and visual learning techniques . Recent publications investigate the impact of group size and gender ratios on student experiences, as well as ethical reasoning and teamwork assessment methods. Scientific Awards Chancellor's Award in Teaching (2019) He teaches Sustainability Engineering courses, co-directs the STEP and UBMS programs, and leads the Equity in Engineering and Education Research (E3) Group. He has also contributed to K-12 STEM summer camps for over 15 years.

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +۳ مورد دیگر

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

• Environmental Psychology
• Pro-Environmental Behaviour
• Social Influence
• +۳ مورد دیگر

Dr Wokje Abrahamse is an Associate Professor at the School of Geography, Environment and Earth Sciences, Victoria University of Wellington. She holds a PhD and MSc from the University of Groningen, Netherlands, and specializes in environmental psychology, focusing on the human dimensions of environmental change. Education: PhD, University of Groningen, Netherlands MSc, University of Groningen, Netherlands Her research examines psychological barriers to environmentally friendly behaviours, including social norms, habits, and spill-over effects . She evaluates interventions like information campaigns, feedback systems, and commitment strategies to encourage energy conservation and sustainable transport. Her recent publications address climate misinformation, environmental education fieldtrips, and composite environmental indices. Current projects include "Social Influence and Behaviour Change" (2024-2026) and "Co-creating an Intervention Trial" (2023-2024). She supervises doctoral and masters students on topics ranging from climate anxiety to sustainable commuting.

• Self-regulated Learning
• Learning Analytics
• Online Education
• +۴ مورد دیگر

Dr. Jacqueline Wong is an Assistant Professor in the Department of Education and Pedagogy at the Faculty of Social and Behavioural Sciences, Utrecht University. Her academic work focuses on enhancing educational practices through evidence-based research in self-regulated learning and learning analytics, with particular applications in higher education contexts. Dr. Wong earned her Ph.D. (cum laude) from Erasmus University Rotterdam with a thesis entitled "Enhancing Self-Regulated Learning Through Instructional Supports and Learning Analytics in Online Higher Education," which received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. She completed her Master's degree (cum laude) in Educational Psychology, where she examined the use of movements to support text comprehension. Prior to joining Utrecht University, she was a postdoctoral researcher at Delft University of Technology (2020-2022) working with the Program of Innovation in Mathematics Education (PRIME). Dr. Wong's research program spans several interconnected areas: the application of learning analytics to support self-regulated learning, the design of instructional interventions that promote metacognitive awareness, and the investigation of how emerging technologies like generative AI can enhance educational experiences. Her work frequently examines how technology can be leveraged to support students' metacognitive processes and goal-setting behaviors in both traditional and online educational settings. She has made significant contributions to understanding how conversational agents and learning analytics can provide personalized support for students' self-regulated learning processes. Analysis of her recent publications reveals a clear trajectory toward integrating emerging technologies with established educational theories. Her 2024-2025 work increasingly focuses on the intersection of artificial intelligence and educational psychology, particularly examining how generative AI tools can enhance academic text accessibility and provide adaptive support for learning. She also continues to investigate cognitive aspects of learning in educational games and augmented reality environments, with implications for both educational practice and learning theory development. Among her notable achievements, Dr. Wong received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. This recognition highlights the significant contribution her doctoral work has made to the field of educational psychology and learning sciences. Her systematic reviews, including examinations of student engagement in mathematics education and gamification in MOOCs, have provided valuable syntheses of research in growing areas of educational technology. Dr. Wong has been an active research member of the Leiden-Delft-Erasmus Centre for Learning and Education (LDE-CEL) and the network for Self-Regulated Learning in Digitalised Schools (SeReLeDiS). Her collaborative approach to research is evident in her extensive co-authorship network across multiple institutions. Before joining Utrecht University, she worked with lecturers to promote student motivation and self-regulated learning in blended service mathematics courses and examined the effectiveness of technology tools for learning mathematics. Dr. Wong's work bridges theoretical frameworks with practical implementations, often involving close partnerships with educators to ensure research relevance to real-world classroom challenges. Her current research appears to be moving toward deeper integration of AI technologies with educational theory, particularly examining how generative AI can support metacognitive processes and self-regulated learning across diverse educational contexts.

• Behavioral Economics
• Neuroscience in Management
• Organizational Change
• +۶ مورد دیگر

Lars B. Sonderegger serves as a Lecturer at the Lucerne University of Applied Sciences and Arts (HSLU), School of Business, within the Institute for Business and Regional Economics. He teaches management and leadership modules while simultaneously leading his research and consulting firm Quantonomics LLC. His work bridges academic theory with practical business applications, focusing on translating behavioral neuroscience into organizational solutions. His educational background includes neuroscience and behavioral sciences studies at the University of Zurich, culminating in a magna cum laude doctorate in stress management under Prof. Dr. Ulrike Ehlert. This foundation combines with his Swiss Federal Diploma in Business Administration and family background in SME entrepreneurship to create his unique practitioner-scholar approach. Sonderegger's research centers on behavioral economics and neuroscience applications in management, with particular emphasis on leadership development, organizational transformation, and human capital optimization. His work explores how neurobiological principles can reshape traditional management practices, especially in hybrid work environments, decision-making processes, and talent retention strategies. Current projects include the VR Board Assessment Tool, Transformation Tracking, and Agile Collaborative People Management. His publication portfolio demonstrates consistent focus on practical neuroscience applications, with recent work examining leadership in VUCA environments, employee well-being frameworks, and cognitive bias mitigation in governance. The trajectory shows increasing integration of neuroscientific evidence into management literature, moving from foundational stress research toward actionable leadership tools. Schulze Award for Outstanding Applied and Practice Publication (2023) Fellow of the Royal Society for the Encouragement of Arts, Manufactures & Commerce (2017) Sonderegger actively advises Master's students at HSLU on topics ranging from performance management to organizational transformation, while securing consulting engagements that translate academic insights into business value. His Quantonomics firm implements behavioral strategies for clients, supported by research projects tracking transformation effectiveness and developing neuroscience-based leadership tools. He serves on multiple boards including SHL Schweizerische Hotelfachschule Luzern and Eigthwell, applying his expertise to real-world organizational challenges. Through Quantonomics and his university role, Sonderegger maintains a dynamic research-practice ecosystem where academic inquiry directly informs consulting solutions. His teams develop tools like the VR Board Assessment platform while conducting field research on agile people management and SME internationalization, ensuring continuous feedback between theory and practice.

• Astronomical Sciences
• Space Sciences
• Particle and High Energy Physics
• +۳ مورد دیگر

Ivan Baldry is a Professor at the Astrophysics Research Institute of Liverpool John Moores University , with a career focused on galaxy formation and cosmology. His work spans large-scale surveys like GAMA, XXL, and Euclid, emphasizing photometric redshifts, stellar mass functions, and galaxy environment interactions. PhD in Astrophysics from University of Sydney (1995-1999) Research interests center on galaxy evolution , cosmic star formation , and observational cosmology , with significant contributions to understanding galaxy bimodality and low-surface-brightness systems. His work integrates multi-wavelength data (UV to radio) and advanced clustering techniques. Key publications include studies on galaxy mass-size relations, star formation rate indicators, and the cosmic spectral energy distribution. He co-authored over a dozen GAMA project papers and contributed to Euclid mission frameworks. Scientific Awards & Professional Roles Royal Astronomical Society Group Achievement Award (2008) Fellow of the Higher Education Academy (2014) Fellow of the Royal Astronomical Society (2009) Member of Euclid Science Team (2011-present) International Member, Australian Time Assignment Committee (2015) His collaborations span institutions like the Isaac Newton Group, VISTA surveys, and the 2dF Galaxy Redshift Survey Team, with leadership in data release protocols and survey diagnostics.

William E. Janesمشاهده پروفایل

استادیار

• Assistive Technology
• Rehabilitation Engineering
• Amyotrophic Lateral Sclerosis (ALS)
• +۴ مورد دیگر

William E. Janes is an Assistant Professor and Academic Fieldwork Coordinator in the Department of Occupational Therapy at the University of Missouri . Holding a PhD in Health and Rehabilitation Science, his work focuses on creating accessible assistive technologies through the AT-AT Lab to enhance independence for individuals with disabilities. Occupational Therapy Doctorate (OTD) – Washington University School of Medicine Master of Science in Clinical Investigation (MSCI) – Washington University School of Medicine Bachelor of Science in Psychology and Sociology – Southern Illinois University – Edwardsville His research spans ALS intervention , pediatric handwriting assessment , and 3D-printed assistive technologies , with recent publications addressing technology-driven solutions for neurodegenerative conditions and innovative educational practices. Janes has secured significant grants including a $760,000 award to advance ALS research and a $400,000 ALS Association grant for caregiver alert systems. Recognized as a 2025 AOTA Fellow , he leads initiatives in fieldwork educator competency and has contributed to professional standards through the University of Missouri Faculty Scholars Program (2017–2018). His teaching includes courses in Bioengineering Design and Evidence-Based Practice , while maintaining active memberships in the American Occupational Therapy Association and RESNA . As director of the AT-AT Lab , Janes champions low-cost technology adaptation , including recent projects making gaming more accessible for users with disabilities. His work bridges clinical practice , educational innovation , and community-focused technological development .

• 5G/6G Systems
• Next-Generation Wi-Fi
• Wireless Internet of Things
• +۴ مورد دیگر

Evgeny Khorov is a Full Professor and Deputy Chair at Moscow Institute of Physics and Technology (MIPT) and Head of the Wireless Networks Lab at the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS) and the Telecommunication Systems Lab at Higher School of Economics (HSE). His research focuses on 5G/6G systems , next-generation Wi-Fi , Wireless IoT , and QoS-aware optimization. Ph.D. (2012) and D.Sc. (2022) in Telecommunications from IITP RAS and MIPT Visiting Research Fellow at King's College London (2015) His work includes mathematical modeling of networking protocols, Wi-Fi standardization (IEEE 802.11), and contributions to Wi-Fi 6 (802.11ax) and Wi-Fi 7 (802.11be) . He supervises students and has co-authored over 200 papers. Recent articles highlight advancements in Wi-Fi 7/8 , URLLC , 5G multi-connectivity , and machine learning for traffic classification . Scientific Awards: Best Demo Award, ACM Mobihoc (2022) Best Paper Awards: IEEE ISWCS (2012), Elsevier Computer Communications (2018), IEEE PIMRC (2019) Moscow & Russian Government Prizes for Young Scientists (2013, 2016) Scopus Award Russia (2018) Best Cooperation Project Leader (multiple times) He serves as Editor-in-Chief of Problems of Information Transmission (since 2024) and chairs major IEEE conferences (Globecom 2018 Workshop, BlackSeaCom 2019).