جست‌وجوی استاد و پژوهشگر

• Face perception
• Facial contrast
• Cosmetics
• +۵ مورد دیگر

Richard Russell is a Professor in the Psychology Department at Gettysburg College's College of Arts and Sciences. His research focuses on visual perception, particularly how humans process facial features, contrast, and coloration to make judgments about age, sex, health, and beauty. With publications spanning from 2003 to 2021, he has established himself as a leading researcher in facial perception and cosmetics research. Russell's research interests center on facial contrast as a key visual cue for perception. His work examines how contrast between facial features and surrounding skin influences age perception, sex differences, health judgments, and beauty standards. He has extensively studied how cosmetics alter facial contrast to enhance beauty perceptions and investigated cross-cultural aspects of these phenomena. His research connects visual perception with evolutionary psychology, exploring how facial cues serve as signals in social and mating contexts. Analysis of Russell's recent publications reveals a consistent focus on facial contrast as a fundamental visual cue across multiple domains. His work demonstrates how contrast around eyes, lips, and eyebrows changes with age and differs between sexes, while remaining relevant throughout adulthood. He has expanded this research into practical applications examining how cosmetics manipulate contrast to create beauty effects, influence social perceptions, and even impact legal decisions. His publications show an interdisciplinary approach bridging psychology, evolutionary biology, and visual science. Russell has mentored undergraduate students in research, including Sarah S. Kramer '17 who co-authored his 2017 paper on facial contrast across the lifespan. His collaborative work extends internationally, with co-authors from institutions like Swansea University. While specific grant information isn't provided in the available text, his extensive publication record suggests successful research funding.

Carsten Schermulyمشاهده پروفایل

استاد

• Coaching Research
• New Work Research
• Team Research
• +۴ مورد دیگر

Carsten Schermuly serves as Professor of Business Psychology at SRH University, teaching Work and Organisational Psychology, Psychology of Learning and Motivation, and Personality Psychology and Diagnostics. His academic profile centers on bridging theoretical research with practical organizational applications through extensive publications and industry engagement. His research program spans three interconnected domains: Coaching research examines efficacy, side effects, and AI integration in business coaching; New Work research investigates psychological empowerment, agile implementation, and theoretical foundations of modern work practices; Team research analyzes diversity faultlines, nonverbal dynamics, and behavioral observation through the Discussion Coding System. Recent work emphasizes the psychological dimensions of technological transitions in workplaces, particularly how digital tools reshape coaching efficacy and employee empowerment. Publication trends reveal consistent focus on empowerment mechanisms across contexts, with 2023-2025 output heavily featuring agile work environments, psychological safety in threatening conditions, and measurement innovations like the Psychological Empowerment Leadership Scale. His work appears predominantly in organizational psychology and HR management journals, demonstrating strong industry relevance through frequent practitioner-oriented outlets like Harvard Business Manager. Selected awards include: Erding coaching award Best poster award Harvard Medical School German coaching award DBVC Best paper award European Journal of Work and Organizational Psychology SRH research award Schermuly actively contributes to academic governance as scientific advisor for United Leader Association and Journal of Organizational Management, Supervision, Coaching (OSC), while maintaining rigorous peer review commitments for journals including European Journal of Work and Organizational Psychology and Personnel Review. His advisory work extends to doctoral committees at multiple German universities, though specific student names aren't publicly documented. Laboratory facilities and grant details aren't specified in available materials.

Jignesh Patelمشاهده پروفایل

استاد

• Systems
• Data-Intensive and Cloud Computing
• Databases
• +۳ مورد دیگر

Jignesh Patel is a Professor in the Computer Science Department at Carnegie Mellon University, specializing in database systems and data-intensive computing. His research focuses on hardware-software synergy for high-performance databases and democratizing data analytics through no-code interfaces. He co-founded DataChat, a startup focused on intuitive data analytics platforms. He holds fellowships from AAAS, ACM, and IEEE, along with teaching awards. His work emphasizes building systems that leverage novel hardware and user-friendly interfaces. Research interests include scalable data platforms, LLM-based query interfaces, and optimizing database performance through hardware collaboration. Notable projects include the Quickstep data platform and the Ava conversational interface. Awards: Fellow of AAAS, ACM, IEEE; Multiple Teaching Awards Labs/Teams: CRISP (Intelligent Storage and Processing), DataChat startup

Tuomas Puttonenمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• 3D Printing
• Powder Bed Fusion
• +۸ مورد دیگر

Tuomas Puttonen is a Researcher at Aalto University, affiliated with the Department of Energy and Mechanical Engineering and the Materials to Products division. His work focuses on additive manufacturing (AM), corrosion of materials, and design complexity in AM processes. He holds a Doctoral Thesis (2023) exploring long-term material behavior in additive manufacturing contexts. His research spans industrial barriers to digital spare parts adoption, lattice structure corrosion analysis, and AI-driven defect detection in metal AM. Key research interests include powder bed fusion technologies, material characterization via X-ray tomography, and sustainable manufacturing practices. Puttonen has contributed to datasets on AM polyamide weathering, lattice structure corrosion, and dimensional accuracy evaluations. Collaborations emphasize cross-industry applications of AM in the machine-building sector. Education: Doctoral Thesis (2023) Key datasets: Aalto 3D prints , Corrosion Test 20 His work aligns with UN Sustainable Development Goals related to sustainable industry and innovation. Research trends emphasize bridging AM technology gaps between academia and industry, particularly in corrosion-resistant designs and AI integration for quality control.

• Wireless Communications
• 5G/6G Networks
• Non-Terrestrial Networks
• +۶ مورد دیگر

Muhammad Zeeshan Shakir is a Professor in the Department of Electronic and Electrical Engineering at the University of Glasgow's College of Science and Engineering. With over 120 publications spanning from 2007 to present, his career demonstrates sustained research excellence in wireless communications and networking technologies. His work bridges theoretical foundations with practical applications, particularly in next-generation communication systems. Professor Shakir's research interests focus on the cutting edge of wireless technology evolution. His work spans 5G/6G networks, non-terrestrial communications, Internet of Things, and machine learning applications in networking. Early in his career, he made significant contributions to cognitive radio and device-to-device communications, which laid the foundation for his current work on 6G architectures and non-terrestrial networks. His recent publications demonstrate a strategic expansion into AI-driven networking solutions, edge computing applications, and metaverse-enabling technologies. This research trajectory reflects both technical depth in wireless communications and adaptability to emerging technological paradigms. His publication portfolio shows a consistent pattern of impactful contributions, with recent work analyzing trends in airborne networks, reconfigurable intelligent surfaces, and multi-RAT selection in 5G/6G environments. These publications frequently address critical industry challenges including coverage extension, energy efficiency, and seamless connectivity across heterogeneous network environments. His work on emotion recognition at the edge and virtual metaverse environment development demonstrates expanding interdisciplinary reach. Professor Shakir has successfully mentored numerous PhD students including Yusufu Gambo, Ifiok Anthony Umoren, and Cezar Anicai, whose research spans smart learning environments, energy trading in microgrids, and federated learning applications. His collaborative approach is evident through extensive co-authorship networks, particularly with researchers at University of Glasgow and international institutions. His research has been supported through various grants focused on next-generation wireless systems, with particular emphasis on practical implementations that address real-world connectivity challenges. Current projects appear to focus on integrating AI with wireless infrastructure to create more adaptive, efficient, and user-centric communication systems.

Luis Velez Quinteroمشاهده پروفایل

استادیار

• Data Science
• Extended Reality (XR)
• Machine Learning
• +۴ مورد دیگر

Luis Velez Quintero is an Assistant Professor at Stockholm University within the Department of Computer and Systems Sciences (DSV) . He is affiliated with the Data Science Research Group and the Stockholm Technology & Interaction Research (STIR) group, focusing on Human–Computer Interaction. His research spans adaptive immersive systems, affective computing, and physiological signal analysis in extended reality (XR) environments. Education & Background : Holds a PhD in Computer and Systems Sciences from Stockholm University (2023), MSc in Health Informatics from Karolinska Institutet (2019), and BSc in Electronics Engineering from the National University of Colombia (2015). He has led the startup PortalSense since 2018, developing VR solutions for real estate visualization. Research Interests : Combines data science and ML with XR technologies to create context-aware systems for healthcare, education, and professional training. Key themes include: Adaptive VR/AR systems using real-time physiological and behavioral signals Biosignal integration for personalized user experiences Immersive technologies for cognitive assessment and skill development Publications : Over 20 peer-reviewed articles, including work on affective databases (AVDOS-VR), biosignal frameworks (Excite-O-Meter), and XR applications in cybersecurity education. Recent efforts explore third-person locomotion in VR and early-stage Alzheimer’s detection via spatial navigation tasks. Awards & Grants : Wallenberg Foundation Grant (2023-2025): Analyzing non-verbal communication in psychotherapy Swedish Institute Scholarship (2017-2019): Fully funded Master’s and PhD studies Seed funding for PortalSense from Fondo Emprender SENA Colombia (2022-2023) Advising & Projects : Lead researcher in projects like AVDOS-VR and CS:NO . Co-designed the Excite-O-Meter open-source plugin for real-time physiological analysis in VR. Active in industry collaborations for scalable health interventions and immersive training systems. Labs & Teams : Collaborates with multidisciplinary teams at STIR and DSV, advancing human-centered AI and adaptive XR technologies.

• Neuroscience
• Complex Systems Analysis
• Statistical Physics
• +۳ مورد دیگر

Ben Fulcher is an Associate Professor and Senior Lecturer in the School of Physics at The University of Sydney, leading the Dynamics and Neural Systems Group. His research focuses on applying statistical and physics-based methods to study complex systems, with a strong emphasis on neuroscience. He investigates brain structure and function dynamics, particularly exploring the interplay between genetics, neural connectivity, and information processing mechanisms. Fulcher has pioneered tools like hctsa (highly comparative time-series analysis) for analyzing large-scale neuroimaging and physiological data. Research Interests Complex systems analysis Neural dynamics and connectomics Feature-based time-series analysis Gene-brain connectivity relationships Imaging transcriptomics Recent Work Trends Fulcher's recent articles emphasize time-series analysis applications in neuroscience, including studies on anesthesia effects, brain connectivity, and criticality in neural systems. His work bridges computational methods (e.g., generative models, matrix-product states) with biological insights, often involving interdisciplinary collaborations. Key themes include understanding how brain geometry influences dynamics and translating genetic data into connectomic predictions. Grants & Projects 2024: ARC Future Fellowship for sleep research using complex systems methods 2023: Discovery Project on network neuroscience and AI integration Advising & Labs Fulcher supervises research students and directs the Dynamics and Neural Systems Group, which develops open-source tools like the theft R package for time-series analysis. His lab’s work has been featured in media outlets discussing brain structure-function relationships and comparative neurobiology.

Sherif Moussaمشاهده پروفایل

استاد

• Wireless Communication
• Computer Networks
• Machine Learning
• +۱ مورد دیگر

Dr. Sherif Moussa is a Professor and Dean at the Faculty of Engineering, Applied Science and Technology, Canadian University Dubai. He holds a PhD in Electrical and Computer Engineering from the University of Quebec and an MSc from the University of Waterloo, both in Canada. Before joining CUD in 2007, he served as a lecturer at Centennial College in Toronto. His research focuses on: Wireless Communication Computer Networks Machine Learning Digital Circuit Design His recent publications explore machine learning applications in cybersecurity, MIMO-OFDM systems, FPGA implementations, and routing protocols, reflecting a consistent emphasis on optimizing wireless and network technologies. Trends show increasing work in AI-driven solutions and intrusion detection since 2018. He received the 2015 CUD Research Excellence Award and founded the university's first robotics club. He actively contributes as a reviewer and technical committee member for international conferences.

Muhammad Bilal Zafarمشاهده پروفایل

استاد

• Human-Centric AI/ML
• Fairness in Machine Learning
• Explainable Artificial Intelligence
• +۳ مورد دیگر

Professor Muhammad Bilal Zafar holds a faculty position at Ruhr University Bochum (RUB), where he heads the Chair of AI and Society within the Research Center for Trustworthy Data Science and Security. He is also a Principal Investigator (PI) at the Cluster of Excellence CASA and a member of the Horst Görtz Institute for IT Security. Previously, he worked as a Senior Applied Scientist at Amazon Web Services and a Research Scientist at Bosch Center for Artificial Intelligence. He completed his PhD at the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University, advised by Krishna P. Gummadi and Manuel Gomez Rodriguez. His research focuses on human-centric AI/ML, emphasizing fairness, explainability, and robustness of AI systems. Key contributions include mechanisms for fair classification, bias detection in algorithms, and trustworthy AI applications. He actively engages in mentoring PhD and Master’s students, with current openings for candidates in Computer Science, Mathematics, and related fields. His work bridges theoretical advancements with practical solutions for ethical AI deployment. Notable collaborations include projects with AWS and Bosch, addressing challenges in algorithmic fairness and AI transparency. His publications span top venues like ACL, KDD, NeurIPS, and WWW, highlighting contributions to both foundational and applied aspects of AI ethics.

• Corporate Finance
• Entrepreneurial Finance
• Private Equity
• +۳ مورد دیگر

Ranko Jelic is Professor of Finance (Accounting and Finance) at the University of Sussex Business School, where he leads the Business Finance (BF) research group. His academic career spans prestigious institutions including the London School of Economics, University of Birmingham, and EDHEC business schools in France, with extensive international teaching experience across Asia and Europe. Dr. Jelic's research focuses on corporate and entrepreneurial finance, private equity, sustainable finance, European bond markets, and financial regulation. His scholarly work has resulted in over forty publications, consistently ranking him among the top 10% authors on the Social Sciences Research Network (SSRN) by citations and downloads. His research has been featured in top journals and referenced by major media outlets including the Financial Times. His publication portfolio reveals a strong emphasis on private equity structures, European bond market dynamics, and corporate governance issues. The research shows particular interest in management buyouts, secondary buyouts, and the performance of privatized firms in transition economies, with a growing focus on sustainable finance in recent years. Dr. Jelic's scholarly recognition includes: Consistent ranking among top 10% SSRN authors Google Scholar metrics: i10 index of 28 and h-index of 20 University of Birmingham award for excellence in doctoral supervision Selection as showcase publications by academic journals Recognition by ANBAR Electronic Intelligence for highest quality rating As an educator, Dr. Jelic has supervised numerous PhD students, ten of whom have secured academic positions globally. He has held significant leadership roles including Head of Department, Director of Research, and Convenor of PhD programmes. His editorial service includes being an Associate Editor of the European Journal of Finance since 2017 and serving on the board of the European Financial Management Association. Dr. Jelic leads the Business Finance research group at Sussex, which focuses on advancing knowledge in corporate finance, private equity, and sustainable investment practices. The group maintains active collaborations with financial institutions and regulatory bodies across Europe.

• Biomechanics
• Wearable Sensor Technology
• Gait Analysis
• +۳ مورد دیگر

Prof. Giuseppe Vannozzi is a Full Professor at the University of Rome Foro Italico, based in the Department of Human Motor Sciences and Health. His research focuses on biomechanics, wearable sensor technology, and gait analysis in neurological and运动 disorders. He has contributed to studies on stroke recovery, Parkinson’s disease, multiple sclerosis, and pediatric conditions like cerebral palsy. His work integrates machine learning with clinical assessment, emphasizing wearable sensors for real-world applications. Research interests include motor control, neurorehabilitation strategies, and the application of inertial measurement units (IMUs) in movement analysis. Key areas include gait variability, postural stability, and upper limb recovery. Recent studies explore the use of auditory cues in Parkinson’s gait improvement and sensor-based interventions for stroke survivors. His publications span over a decade, with recent focus on advanced metrics for gait quality, instrumented clinical tests (e.g., iTUG), and the role of biomechanical parameters in aging populations. He has pioneered sensor fusion algorithms for yoga and sports performance evaluation, and his work on Golden Ratio-based auditory cues highlights interdisciplinary创新. He contributes to academic governance as a member of the University Quality Assurance Committee and has collaborated on EU-funded projects. Teaching responsibilities include courses on research methodology, movement therapy, and motor function assessment in health sciences.

• Civil Engineering
• Sustainable Construction
• Building Information Modeling (BIM)
• +۵ مورد دیگر

BEDDIAR Karim is an Assistant Professor and Head of Research and Innovation at CESI (West), an engineering school in France. He holds a PhD and MSc in Civil Engineering from École Nationale des Ponts ParisTech (2001) and a DUT in Civil Engineering from IUT Nancy-Brabois (1997). His professional experience includes roles as Head of Research and Innovation (2013–present), Head of Continuing Education in Civil Engineering (2010–2013), and Program Leader for post-MSc programs in civil engineering. He has coordinated numerous French/European research projects, advised 4 PhD theses, and teaches subjects such as sustainable construction, building materials, and project management. His research focuses on concrete durability , sustainable city development , and building information modeling (BIM) . He has pioneered integration of BIM with lean principles, VR/AR technologies, and blockchain for smart grids. He also serves as a Visiting Professor at Northumbria University (UK) and an external examiner at Abertay University (UK). Key achievements include the Ponts ParisTech Best Thesis Award (2001) , leadership in EU-funded projects like NovBuild and S2E2, and over 70 publications in journals like Energies and conference proceedings. His work bridges innovation in construction technology with practical applications in energy efficiency, smart buildings, and digital transformation. Education : PhD/MSc Civil Engineering, École Nationale des Ponts ParisTech (2001) DUT Civil Engineering, IUT Nancy-Brabois (1997) Awards : Ponts ParisTech Best Thesis in Soil Mechanics (2001) Grants/Projects : EU-funded research on BIM and sustainable construction French/European projects on energy management Labs/Teams : Research team at CESI focusing on innovation in construction

Yvan Roseمشاهده پروفایل

استاد

• Phonology
• Language Acquisition
• Child Language Development
• +۳ مورد دیگر

Yvan Rose is a Professor at Memorial University of Newfoundland, specializing in phonology and language acquisition. His research focuses on how humans organize sound systems, acquire phonology in first/second languages, and produce speech sounds. He received the Petro Canada Young Innovator Award (2006-2008) and leads the PhonBank project under CHILDES, developing the open-source Phon software for phonological data analysis. Education: M.A. from Université Laval (Québec) and Ph.D. from McGill University (Montréal). Teaching interests include phonology, language acquisition, and experimental phonetics. Research emphasizes empirical and multidisciplinary approaches, integrating linguistics, psychology, and computer science. Key contributions include: PhonBank: A cross-linguistic phonological development database Phon software for corpus analysis and treatment target selection Studies on speech rehabilitation in cochlear implant users Investigations into loanword phonology and bilingual acquisition His work bridges theoretical phonology with practical applications in speech-language pathology and computational tools for linguistic research.

Pierre-Alexandre Matteiمشاهده پروفایل

پژوهشگر

• Statistical Machine Learning
• Generative Modeling
• Model Uncertainty
• +۷ مورد دیگر

Pierre-Alexandre Mattei is a research scientist at Inria, affiliated with the Maasai team in Sophia Antipolis and the J.A. Dieudonné Laboratory at Université Côte d'Azur. He holds a chair at the 3IA Côte d'Azur institute and has a strong academic background in applied mathematics, having earned his Ph.D. from Université Paris Descartes (now Université Paris Cité) under Charles Bouveyron and Pierre Latouche, followed by a postdoc at the IT University of Copenhagen with Jes Frellsen. Ph.D. in Applied Mathematics, Université Paris Descartes (2017) Postdoctoral Researcher, IT University of Copenhagen His research lies at the intersection of statistical machine learning, generative modeling, and uncertainty quantification, with a focus on hidden variables, missing data, and model interpretability. He has co-organized major workshops such as Artemiss, GenU, SophI.A Summit, and Statlearn, and teaches at the Generative Modeling Summer School (GeMSS). His recent work spans energy-based models, clustering, semi-supervised learning, and medical AI applications. The 15 most recent publications reflect a consistent trend in developing statistically principled methods for generative modeling, with emphasis on likelihood-based inference, missing data, and information-theoretic approaches to clustering and representation learning. His work frequently appears in top venues like NeurIPS, ICML, ICLR, and AISTATS, as well as in journals such as Statistics and Computing and JACC: Advances. Co-organizer, Generative Modeling Summer School (GeMSS) Co-organizer, Workshop on Generative Models and Uncertainty Quantification (GenU) Co-organizer, SophI.A Summit Co-organizer, Statlearn Mattei has advised several PhD students and postdocs, including Raphaël Razafindralambo, Hugo Senetaire, Louis Ohl, Federico Bergamin, and Hugo Schmutz, many of whom have gone on to research positions in Copenhagen, Grenoble, Linköping, and Marseille. He collaborates extensively with researchers across France and Denmark, particularly with Jes Frellsen, Frédéric Precioso, and Charles Bouveyron. He is actively involved in the development of open-source tools and libraries such as the GemClus Python library for discriminative clustering. He is a key member of the Maasai team at Inria Sophia Antipolis, which focuses on models and algorithms for artificial intelligence, and contributes to the broader 3IA Côte d'Azur initiative aimed at advancing AI research through interdisciplinary collaboration.

Gregory Buchakjianمشاهده پروفایل

استاد

• Art History
• Contemporary Arab Art
• Photography
• +۷ مورد دیگر

Gregory Buchakjian is a Lebanese art historian, visual artist, and academic based in Beirut. He is a faculty member and Director of the School of Visual Arts at the Académie Libanaise des Beaux-Arts (ALBA), and completed his PhD at Université Paris IV Sorbonne. His work bridges scholarly research and artistic practice, focusing on urban memory, architectural decay, and contemporary Arab art. Académie Libanaise des Beaux-Arts (ALBA) – Faculty, Director of School of Visual Arts Université Paris IV Sorbonne – PhD in Art History His research centers on the transformations of urban space in Beirut, particularly through abandoned dwellings as sites of memory, conflict, and cultural identity. He explores how war, political instability, and social change reshape the city’s architectural and social fabric. His interdisciplinary approach integrates photography, installation, archival research, and writing. Buchakjian’s artistic and scholarly output reveals a consistent focus on postwar urbanism, memory, and visual documentation. His publications and exhibitions analyze the material and symbolic lives of derelict buildings, using them as lenses to understand broader historical and cultural narratives in Lebanon and the Arab world. Selected Scientific and Artistic Contributions: Author of War and Other (Impossible) Possibilities (2012) Co-editor of Abandoned Dwellings: A History of Beirut (2018) Exhibitions at Sursock Museum (Beirut), Villa Empain (Brussels), and Venice Biennale of Architecture (2018) Participant in the Atelier de Recherche ALBA (1997–2004) Member of the advisory committee of the Saradar Collection Buchakjian has advised on academic and artistic juries, including the Boghossian Prize and Beirut Art Center’s Exposure. His work has been featured in international media and academic platforms. He leads long-term research projects involving mapping, architectural exploration, and narrative reconstruction of Beirut’s urban landscape. He has been involved in curatorial and research teams such as the Atelier de Recherche ALBA and has contributed to major exhibitions and publications on Lebanese visual culture and urban heritage.