جست‌وجوی استاد و پژوهشگر

• Vocal Performance
• Opera Studies
• Music Education
• +۲ مورد دیگر

Prof. Mikołaj Moroz is a Professor at the Department of Vocal and Acting Studies, Fryderyk Chopin University of Music. He serves as Director of the Polish Musical Theater and President of the Management Board of Orpheus Theater. His career includes roles as a soloist at the Schleswig-Holstein State Opera House and guest performer across Europe, alongside pedagogical work in Korea (Keimyoung University, 1999-2000). He has directed opera and operetta performances, organized cultural events, and led doctoral/postgraduate studies at his university for many years. Education: Graduated Secondary Music School in Warsaw (piano), Academy of Music in Warsaw (1991), and studied at Academia Cigiana in Siena under Prof. Carlo Bergonzi. His research interests focus on vocal techniques, opera performance, and inclusive education methods for visually impaired students. He has received prestigious awards from his university and recognition for accessibility initiatives. Awards include Rector’s academic awards and a 2008 honorary diploma. His professional contributions span performance, education, and institutional leadership in music theater and cultural administration.

Aleksandar Jevremovićمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Cybersecurity
• Internet of Things (IoT)
• +۶ مورد دیگر

Aleksandar Jevremović is a Full Professor at the Faculty of Informatics and Computing, Singidunum University (Belgrade, Serbia), and holds multiple academic and professional roles. He is the Serbian representative at the UNESCO IFIP Technical Committee on Human-Computer Interaction since 2018. He has served as Vice-Dean of his faculty (2015–2018) and held visiting professorships at institutions like Ss. Cyril and Methodius University (North Macedonia) and Tallinn University (Estonia). His research focuses on cybersecurity, IoT, AI, and e-learning innovation. Education and Affiliations: External Researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts Visiting Scholar at Cyprus Interaction Lab (Cyprus University of Technology) Alumni/Postdoc Researcher at Tallinn University's HCI Group Member of IEEE and the Informatics Association of Serbia Research Interests: Jevremović’s work spans cybersecurity (e.g., intrusion detection, secure IoT protocols), human-computer interaction (HCI), AI-driven education tools, and neurotechnological applications like EEG-based assessment systems. He emphasizes practical solutions for digital safety, such as children’s online protection and cryptographic key generation from biometric data. Grants and Projects: Member of the External Advisory Committee for the EU-funded ONTOCHAIN project (2022–2023) Mentor for training schools like AAPELE Training School and NET4Age-Friendly initiatives Trainer in IoT, cybersecurity, and health promotion programs across Europe Labs and Teams: He collaborates with interdisciplinary teams on projects like CASPER (Children Agents for Secure and Privacy Enhanced Reaction) and led the development of WIDE, a collaborative web development education platform.

• Intellectual Property Law
• Civil Law
• Biolaw
• +۹ مورد دیگر

Concepción Saiz García is an Associate Professor in the Department of Civil Law at the Faculty of Law, University of Valencia. She is actively engaged in research within the INTERBIDE Biolaw: Interdisciplinary Research Group and the GIPI Group for R+D in Intellectual Property. Her academic profile reflects a strong commitment to intellectual property law, civil law, and the legal challenges posed by emerging technologies. Her research interests lie at the intersection of law, technology, and digital innovation, with a particular focus on intellectual property , copyright , artificial intelligence , 3D printing , moral rights , and the European digital single market . She explores how legal frameworks adapt to new forms of creation and dissemination, especially in educational, artistic, and scientific contexts. The analysis of her recent publications (2021–2024) reveals a consistent engagement with contemporary legal challenges, particularly the impact of AI on authorship, the regulation of digital content access, and the protection of creators' rights in evolving media landscapes. Her work combines doctrinal analysis with practical implications for creators, educators, and policymakers. Her scientific contributions include numerous articles and co-edited volumes, but no formal scientific awards are mentioned in the provided text. She has supervised doctoral research, including co-directing a 2019 volume on intellectual property and the European digital single market, indicating her role in academic mentorship. While no specific grants are listed, her sustained research output suggests active participation in funded projects. She is a key member of two research groups: INTERBIDE, focusing on biolaw, and GIPI, dedicated to intellectual property innovation.

Gabrie Meestersمشاهده پروفایل

دانشیار

• Product Driven Process Design
• Particle Technology
• Product Formulation
• +۴ مورد دیگر

Dr. Gabrie Meesters is an Associate Professor in the Department of Chemical Engineering at Delft University of Technology (TU Delft), Faculty of Applied Sciences. He is affiliated with the Product and Process Engineering (PPE) section, where his research centers on product-driven process design and particle technology, often in collaboration with industrial partners. His academic background includes an MSc and PhD in Chemical Engineering from TU Delft, completed in 1992. He previously balanced his academic role with R&D positions at DSM in Delft, working one day per week at the university until 2019, when he transitioned to full-time academia. His research interests include: Product Driven Process Design Particle Technology Product Formulation Fluidization of Cohesive Powders Hydrodynamics in Multiphase Systems Nanoparticle Clustering and Dispersion Recent publications highlight a strong focus on experimental and imaging techniques such as X-ray imaging and radioactive particle tracking to study fluidization behavior, vibrational effects, and nanoparticle interactions. These works fall within the broader domains of chemical engineering, materials science, and process systems engineering. He supervises PhD candidates, including Rens Kamphorst, and contributes to educational programs by teaching courses such as Product and Process Design (PPD), Conceptual Design Project (CDP), and Particle Technology for Health and Energy. He also serves as a contact person for internship inquiries. His research group maintains active collaborations with industry and academic partners, supported by access to advanced instrumentation and facilities at TU Delft.

Kathleen Riachمشاهده پروفایل

استاد مدعو

• Ageing at Work
• Gender and Career Trajectories
• Workplace Diversity and Inclusion
• +۱۲ مورد دیگر

Kathleen Riach is an Adjunct Professor (Research) in the Department of Management at Monash Business School, Monash University. She is actively engaged in research on ageing at work, gender, identity, and workplace inclusion, with a recent focus on menopause and leadership equity in healthcare. She collaborates widely across institutions and sectors and is involved in PhD supervision. Research Interests: Ageing and employment Gender and career trajectories Workplace menopause support Organizational equality and diversity Emotions, sexuality, and the body at work Qualitative and arts-based methodologies Her research explores how marginalized aspects of identity shape workplace experiences. She has led major projects on advancing women in healthcare leadership and supplier diversity, often using interdisciplinary and innovative methods. Recent Publication Trends: Her recent work centers on menopause in the workplace, gender equity in healthcare leadership, and ageing in professional contexts. Her publications appear in top journals such as Organization Studies , Human Relations , and JAMA Network Open , reflecting interdisciplinary impact across management, sociology, and public health. Scientific Awards: Monash Business School Dean's Award for Research Excellence (2016) Advising and Grants: She is accepting PhD students and has been a Chief Investigator on multiple competitive grants, including NHMRC-funded projects. Notable projects include Advancing Women in Healthcare Leadership and Menopause Information Pack for Organizations (MIPO) , which translates research into practical workplace resources. Labs and Teams: She collaborates with interdisciplinary teams at Monash University, the University of Melbourne, and healthcare institutions. She co-leads initiatives like MIPO, which aims to embed menopause support in organizational practice through open-access resources.

Mitchel Langfordمشاهده پروفایل

استاد

• Spatial Analysis
• Geoinformatics
• Applied Computational Geography
• +۵ مورد دیگر

Mitchel Langford is a Professor and Co-Director of the Wales Institute of Socio-Economic Research and Data (WISERD). He holds an academic position within the Faculty of Computing, Engineering and Science, focusing on spatial analysis, geoinformatics, and computational geography. His research spans over 35 years, emphasizing geographical accessibility, dasymetric mapping, and software engineering solutions for spatial problems. Langford earned his first degree in Physical Geography and Geology, followed by a PhD in software development for palynology using FORTRAN. He has extensive teaching experience in software engineering (C#, SQL, Python) and geoinformatics (PostgreSQL/PostGIS, web mapping). His key research contributions include pioneering work in dasymetric areal interpolation and multi-modal accessibility modeling, notably the Enhanced Two-Step Floating Catchment Area (E2SFCA) method. He has published over 119 peer-reviewed articles and consulted for international organizations like CIAT. Notable awards include the 2019 Impact Awards for contributions to spatial accessibility research. Current projects include investigating accessibility to public services (transport, healthcare, childcare) using GIS and multi-modal transport networks. Langford is also involved in policy-oriented research, contributing to Welsh Senedd inquiries on banking and healthcare access. His software engineering skills enable bespoke solutions for spatial analysis, emphasizing modern languages like Python and JavaScript.

Prabhakara Akarshمشاهده پروفایل

استادیار

• Wireless Systems
• Cyber-Physical Systems
• Machine Learning for RF
• +۶ مورد دیگر

Akarsh Prabhakara is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin–Madison, with an additional affiliation in the Department of Electrical and Computer Engineering. He earned his Ph.D. from Carnegie Mellon University in 2024, where he worked under Professors Anthony Rowe and Swarun Kumar. Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2024 B.Tech, Electronics and Communication Engineering, National Institute of Technology Karnataka, 2018 His research focuses on building high-fidelity wireless systems for perception and communication, particularly in cyber-physical and robotic applications. He explores machine learning-driven RF systems, novel communication paradigms, wireless-robotics integration, and embedded wireless sensing. His work aims to enable robust perception in challenging environments such as smoke or fog using millimeter wave radar and deep learning. His recent publications in CVPR, ICRA, MobiCom, and ICCV demonstrate a strong trend in using neural methods for radar simulation, super-resolution, and wireless intelligence. Key themes include implicit neural rendering for radar, end-to-end learning for perception, and high-resolution point cloud generation from low-cost sensors. His scientific contributions have been recognized through publications in top-tier venues, though specific awards are not mentioned in the provided text. He is actively involved in mentoring and recruiting students for research in wireless and robotics. He teaches courses such as Intro to Computer Networks and Big Ideas in Wireless: Perception and Communication . He leads research projects like RadarHD, which enables lidar-like perception from mmWave radar, and is developing tools and datasets for community use. His lab emphasizes practical, real-world applications of wireless systems in robotics and autonomous systems.

Anna Monrealeمشاهده پروفایل

دانشیار

• Privacy-Preserving Data Mining
• Big Data Analytics
• Social Network Analysis
• +۷ مورد دیگر

Anna Monreale is an Associate Professor in the Department of Computer Science at the University of Pisa and a key member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council (ISTI-CNR) in Pisa. Her academic career is rooted in the University of Pisa, where she completed her Bachelor's, Master's, and Ph.D. in Computer Science. Her research focuses on privacy-preserving data analytics, with core interests in big data analytics, social network analysis, spatio-temporal mining, and explainable AI. She is particularly known for her work on privacy-by-design in data mining and evaluating privacy risks in analytical processes. Her research bridges technical innovation with ethical and legal considerations in data science. Her recent publications reveal a strong trend toward explainable AI, privacy in federated learning, and risk assessment in mobility and health data. She actively contributes to developing methods for explaining black-box models, assessing privacy exposure, and balancing privacy, utility, and fairness in AI systems. Privacy by Design Ambassador (2014) ISTI-CNR Young++ Researcher Award (2014) Monreale has advised and co-chaired several international workshops, including PriSMO, PinSoDa, and MoKMaSD, and serves on editorial boards such as Transactions on Data Privacy. She teaches advanced data mining, big data ethics, and database systems across multiple graduate and undergraduate programs. She is involved in major EU projects like SoBigData, XAI, TAILOR, and HumMingBird, reflecting her leadership in data science and AI ethics. She is affiliated with the KDD-Lab, a prominent research group focused on knowledge discovery, social mining, and big data analytics, contributing to both theoretical advances and real-world applications in privacy-aware data science.

• Architectural Design
• Urban Planning
• Public Space Design
• +۳ مورد دیگر

Anna Bach is a Visiting Professor of Architecture at Washington University in St. Louis (Sam Fox School) and former Associate Professor at EINA, University of Design and Arts in Barcelona (2008–2022). She co-founded Anna & Eugeni Bach, an architecture studio specializing in public and private projects including housing, public buildings, urban design, and art installations. Her academic roles include curating the XV Spanish Architecture Biennial and the exhibition 'Human Traces' at the Alvar Aalto Museum. Research focuses on architectural growth theories and spatial perception, with notable projects like the Slovenian Pavilion at the Venice Biennale (2023) and the Firal d’Olot (2024). Education: Masters in Theory and Practice of Architectural Design, Barcelona School of Architecture (ETSAB), UPC, 2014 Architecture Degree, Helsinki University of Technology, 2001 Research Interests: Gradual urban growth through architectural additions Temporary installations and ephemeral interventions Public space design and cultural heritage preservation Interdisciplinary collaboration between art and architecture Awards: 2024 International Topscape Award 2019 FAD Award for Ephemeral Interventions 2016 Golden Lion at Venice Biennale 2014 FAD International Award for 'La Casita' Grants & Advising: Recipient of multiple research grants for cultural heritage projects Advisor on over 25 architectural competitions and exhibitions Directed student workshops at MIT, ETH Zurich, and HafenCity University Hamburg Labs/Teams: Co-leads the Anna & Eugeni Bach studio, collaborating on large-scale urban projects and cultural exhibitions across Europe and North America.

Michelle Hoda Wilkersonمشاهده پروفایل

پژوهشگر

• Computational Literacy
• Scientific Computing
• Visual Data Analysis
• +۱۲ مورد دیگر

Michelle Hoda Wilkerson is a learning scientist at the University of California, Berkeley, affiliated with the Berkeley School of Education. She directs the Computing, Reasoning, and Expression (CoRE) Lab, focusing on computational literacy and the integration of scientific computing tools into precollegiate curricula. Her research emphasizes visual data analysis, agent-based simulations, and their social implications in domains like climate and health. Her scholarly contributions appear in journals such as Educational Researcher , Journal of the Learning Sciences , and Science Education . Notable awards include the National Science Foundation Early CAREER Award (2014) and the AERA Division C Jan Hawkins Award (2020). She co-organized the National Academies Workshop on K-12 Data Science Education (2022). Her research highlights the interplay between computational tools, data reasoning, and socio-cultural contexts, advocating for inclusive, humanistic approaches to data science education. Key themes include equity in technology access, teacher education, and leveraging personal experiences in learning environments. NSF Early CAREER Award (2014) AERA Jan Hawkins Award (2020)

• Software Engineering
• Spatial Information Systems
• Accessibility Technology
• +۳ مورد دیگر

David McMeekin is a Senior Lecturer at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), part of the Faculty of Science and Engineering. He holds a PhD in Software Engineering focusing on the human aspects of software development and has extensive experience in both academia and international NGOs. His research emphasizes applying technology to solve societal challenges, including accessibility for vision-impaired individuals, autism support through tech, cultural heritage preservation, and spatial data infrastructure. Education and professional background are not explicitly detailed in this profile, though his career spans over three decades in education and tech sectors. Research interests include semantic web technologies for spatial data, assistive technologies for disabilities, and digital humanities. He has been recognized with the 2014 Western Australian Spatial Educator of the Year award. Teaching spans topics like software engineering, programming languages (C, Java, Python), cross-cultural communication, and spatial data processing. His work bridges technical innovation with social impact, particularly in enhancing accessibility and cultural preservation through digital tools.

Peter Desainمشاهده پروفایل

استاد

• Brain-Computer Interfaces
• Neuroscience
• Electrophysiology
• +۳ مورد دیگر

Peter Desain is a Professor and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour, Radboud University. His work focuses on developing advanced brain-computer interfaces (BCI) leveraging evoked potentials, particularly through code-modulated visual and auditory stimuli. He pioneers methods like noise-tagging and Bayesian dynamic stopping to enhance BCI efficiency and accessibility. His research spans neurotechnology, electrophysiological modeling, and clinical applications such as objective EEG audiometry and ALS communication aids. Recent studies emphasize gaze-independent systems, semantic decoding, and minimizing BCI calibration requirements. Key contributions include optimizing c-VEP code-books, real-time fMRI neurofeedback for memory contexts, and literature reviews on BCI design trends. Experimental pilot studies explore auditory attention and high-frequency SSVEP dynamics. No scientific awards are explicitly mentioned. His work integrates multidisciplinary approaches, bridging neuroscience, machine learning, and engineering to advance human-computer interaction and clinical tools.

• Human-Computer Interaction (HCI)
• Data Visualization
• Information Design
• +۳ مورد دیگر

Matt Brehmer is an Assistant Professor at the University of Waterloo's School of Computer Science, specializing in Human-Computer Interaction (HCI) and Data Visualization. He directs the ubietous Information Experiences research group. Previously, he was a Lead Researcher at Tableau and part of the EPIC HCI group at Microsoft Research. His work emphasizes novel methods for data communication and collaboration, particularly in spatial computing and multimodal interaction. Research interests include data visualization design, mobile visualization, and expressive storytelling through timelines and dynamic interfaces. He has contributed to tools like Timeline Storyteller and Charticulator, focusing on user-centered design and accessibility. His awards include the IEEE VIS Test of Time Award (2023) and Best Paper Honorable Mentions at ACM UIST and IEEE VIS. Brehmer actively serves on program committees for IEEE VIS, CHI, and Computation + Journalism, and leads initiatives to bridge academic research with industry needs. His recent work explores gesture-aware augmented reality for remote presentations, emoji-based data visualization, and flexible timeline authoring. Brehmer collaborates with institutions globally, including organizing workshops on multimodal data communication and contributing to visualization standards through IEEE.

Barbara Sophie Hänel-Faulhaberمشاهده پروفایل

استاد

• German Sign Language (DGS)
• Language Acquisition in Hearing-Impaired Children
• Inclusive Education
• +۵ مورد دیگر

Prof. Dr. Barbara Sophie Hänel-Faulhaber is a Professor at the University of Hamburg’s Faculty of Education , specializing in German Sign Language (DGS) and audiopedagogy . Her research focuses on language acquisition and processing in DGS , particularly among deaf children and inclusive educational settings . She leads the Deafness, Language and Learning Lab (D2L) and contributes to the faculty’s core research area Literacy in Diversity Settings . Education: Dr. phil. in Sign Languages (University of Hamburg, 1999–2003) Magister Artium in Sign Languages, Linguistics (University of Hamburg, 1996–1999) Double Degree in Deaf Education, Elementary Education (LMU Munich, 1992–1996) Her work examines bimodal-bilingual education , iconicity in early sign learning , and structural conditions in inclusive daycare centers . She develops diagnostic tools like the DGS-Version of MBK 0 for assessing numerical competencies in deaf children. Current projects include Coactivation of Difference (2023–2026) and Sign4Inclusion (Math) (2023–2024). Scientific Awards: Institutional Prize for German Language 2023 Heinrich Böll Stiftung Promotionsstipendium (1999–2003) Wilhelm-Stiftung Post Doc Fellowship (2005) She collaborates with institutions like the Institute of German Sign Language and Deaf Communication and the Graduate School Martha Muchow , with recent publications spanning sign language diagnostics , inclusive pedagogy , and cross-modal literacy studies .

• Computer Vision
• Applied Machine Learning
• Computer Graphics
• +۳ مورد دیگر

Fahim Hasan Khan is an Assistant Professor in the Computer Science and Software Engineering Department at California Polytechnic State University, San Luis Obispo (Cal Poly). His research focuses on computer vision, applied machine learning, and citizen science applications, with a special emphasis on environmental monitoring and education. He holds a PhD in Computer Science and Engineering from UC Santa Cruz, where he was advised by Professors Alex Pang and James Davis, and a Master's in Computer Science from the University of Calgary. Key research contributions include real-time rip current detection systems (RipFinder, RipScout), mobile citizen science platforms (SmartCS), and educational tools to engage high school students in STEM research. His work has received media attention for innovations in drowning prevention and environmental safety. Notable awards include the Best Poster Presentation Award at ICIAR 2019 and the Best of the Baskin School of Engineering Award at UC Santa Cruz in 2022. Dr. Khan collaborates extensively with industry and academic partners to develop practical solutions for challenges in marine safety, autonomous systems, and healthcare diagnostics. He actively mentors students and seeks to democratize access to machine learning tools through no-code platforms.