جست‌وجوی استاد و پژوهشگر

• Biochemistry
• Protein modification
• Proteases
• +۶ مورد دیگر

Professor Jim Morton serves as Dean of the Faculty of Agriculture and Life Sciences at Lincoln University, New Zealand, while maintaining his position as Professor in the Department of Wine Food & Molecular Biosciences. With a PhD from the University of Canterbury and advanced degrees from the University of Otago, he has established himself as a leading researcher in protein biochemistry with applications to food science and agriculture. His research interests focus on protein modification and proteases , with particular emphasis on meat quality, cataract development in sheep models, and the application of proteomic and metabolomic approaches. Professor Morton has developed innovative research programs examining how proteins change during cooking and processing, with significant work on sheep cataract models that led to novel calpain inhibitors. His current research investigates meat color stability and tenderization processes while applying protein characterization expertise to diverse food and wine projects. Professor Morton's publication record demonstrates consistent high-impact research, with recent work focusing on pulsed electric field technology for meat processing, protein modifications in meat, and bioactive compounds in plant foods. His research shows strong translational value, connecting fundamental biochemistry with practical agricultural and food industry applications. As Dean since 2021, Professor Morton provides leadership for one of New Zealand's premier agricultural faculties while continuing active research supervision and collaboration. His work bridges multiple disciplines including biochemistry, food science, veterinary science, and molecular biosciences, reflecting the interdisciplinary nature of modern agricultural research. Professor Morton has supervised numerous graduate students across diverse topics including edible insects, hemp protein hydrolysates, consumer food behavior, and lamb color stability. His collaborative approach is evident in the wide range of co-authors across his publications, demonstrating engagement with both national and international research communities.

Fredrik Sandinمشاهده پروفایل

استاد

• Machine Learning
• Neuromorphic Technologies
• Computational Physics
• +۶ مورد دیگر

Fredrik Sandin is a Professor in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, where he leads the Machine Learning research group with approximately thirty members. His work focuses on neuromorphic technologies and the intersection of machine learning with computational physics to solve challenging real-world interaction problems. He coordinates the 'Teknisk fysik och elektroteknik' program at LTU and has been instrumental in establishing neuromorphic research activities at the university. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Member of WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIS (European Laboratory for Learning and Intelligent Systems) Coordinator of Neuromorphic Innovation Platform Sweden with KTH, Lund University, Uppsala University, FOI, ABB, Ericsson, and SAAB Fredrik earned his PhD in Physics from Luleå University of Technology in 2007, with thesis work focusing on dense states of matter in neutron stars. His academic journey began with an MSc diploma work in ATLAS at CERN in 2001, followed by postdoctoral research in computational physics at IFPA in Belgium (2008-2009) and brain-like computing at EISLAB with Prof. Jerker Delsing (2010-2011). Professor Sandin's research interests center around neuromorphic technologies, particularly neuromorphic computing and spiking neural networks. He investigates sensor/detector and intelligent systems co-design where constraints like energy, power, latency, and dynamic range challenge conventional digital approaches. His work spans mixed-signal neuromorphic circuits, algorithms, and systems, as well as machine learning projects involving industrial data and collaboration. He has been a key figure in establishing neuromorphic research at LTU, supported by The Kempe Foundations, particularly through the 2014 Gunnar Öquist Fellowship. His recent publications demonstrate a strong interdisciplinary focus spanning quantum phase transitions, particle physics detector optimization, renewable energy materials, and the integration of large language models into control systems. This diverse portfolio reflects his approach connecting machine learning with fundamental physics and practical engineering applications, particularly in neuromorphic computing and intelligent systems design, with emphasis on solving real-world problems through co-design of hardware and algorithms. Gunnar Öquist Fellowship Award and 3 MSEK grant from The Kempe Foundations ISSP award for an Original Work in Theoretical Physics (signed by Prof. 't Hooft and Prof. Zichichi) New-Talents award for original work in theoretical physics at the International School of Subnuclear Physics in Erice Professor Sandin has supervised numerous PhD students working on topics ranging from neuromorphic TinyML to materials for neuromorphic computing, privacy-preserving machine learning at the edge, and intelligent fault diagnosis. He has secured substantial research funding from various sources including Vinnova, ÅForsk, Kempe Foundations, WASP-WISE, and EU programs like ECSEL JU Arrowhead Tools and ITEA3 AutoDC. His current major projects include the Neuromorphic Innovation Platform Sweden and several initiatives focused on neuromorphic condition monitoring and computing, with total funding exceeding 30 MSEK in the past five years. He leads the Machine Learning group at LTU, which collaborates extensively with industry partners including ABB, Ericsson, SAAB, SKF, and RISE. The group is active in developing neuromorphic technologies for wireless sensor networks, condition monitoring systems, and next-generation intelligent systems that address energy, power, and latency constraints that challenge conventional digital approaches.

Diyi Yangمشاهده پروفایل

استاد مدعو

• Natural Language Processing
• Machine Learning
• Computational Social Science
• +۱ مورد دیگر

Diyi Yang serves as an Adjunct Professor within the School of Interactive Computing at the Georgia Institute of Technology, where they contribute to the Machine Learning (ML@GT) research initiative. This academic unit operates under Georgia Tech's College of Computing and focuses on human-centered computing, artificial intelligence, and interdisciplinary technological innovation. Dr. Yang's research spans critical domains including Natural Language Processing and Machine Learning, with significant contributions to Computational Social Science and Social Computing. Their work integrates algorithmic approaches to analyze linguistic patterns and social dynamics, developing systems that model human behavior through computational frameworks. This research bridges technical AI advancements with real-world societal applications, particularly in understanding online interactions and community structures. No scientific awards or honors were specified in the available information. The provided text contains no mention of prizes, fellowships, or medals received by Dr. Yang. While Dr. Yang holds an advisory capacity as an Adjunct Professor, specific details about graduate students supervised or research grants managed are absent from the source material. Their role appears focused on research collaboration rather than formal student mentorship based on the available data. Dr. Yang is actively affiliated with Georgia Tech's Machine Learning (ML@GT) research group, a cross-disciplinary consortium connecting over 100 faculty members across engineering, computing, and social sciences. This affiliation facilitates collaborative projects in algorithm development, ethical AI implementation, and large-scale data analysis for social phenomena.

Marco L. Della Vedovaمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence and Machine Learning
• Interpretable and Explainable AI
• Geospatial AI
• +۷ مورد دیگر

Marco L. Della Vedova is a Senior Lecturer in Applied Artificial Intelligence at Chalmers University of Technology, Sweden. He works in the Vehicle Engineering and Autonomous Systems division within the Department of Mechanics and Maritime Sciences, as part of Prof. Mattias Wahde's research group. Since 2025, he has served as Director of the Data Science and AI master's programme (MPDSC) at Chalmers, where he teaches courses including Introduction to Artificial Intelligence and Digitalization in Sports. Dr. Della Vedova earned his academic foundation at the University of Pavia, Italy, where he completed his BSc (2006), MSc (2009), and PhD (2013) in Computer Engineering. His doctoral research focused on "Real-Time Physical Systems and Electric Load Scheduling" under Prof. Tullio Facchinetti. During his PhD studies, he spent a year at U.C. Berkeley hosted by Prof. Francesco Borrelli at the Model Based Predictive and Distributed Control Lab. His research spans multiple AI domains with a strong emphasis on interpretability. Dr. Della Vedova develops interpretable methods for conversational AI, naturalness evaluation of forests using canopy height models, and geospatial applications. His work bridges theoretical AI with practical societal benefits, particularly in environmental monitoring, transportation systems, and orienteering. He has previously contributed to cloud computing, hate speech detection, and cyber-physical energy systems, demonstrating his interdisciplinary approach to AI research. Dr. Della Vedova's publication record reveals a consistent trajectory of impactful research across multiple domains of artificial intelligence. His recent work shows a strong focus on interpretability in AI systems, with significant contributions to natural language processing, geospatial analysis, and causal inference. The research demonstrates both theoretical depth and practical applications, particularly in environmental monitoring and social media analysis. His methodology often combines traditional machine learning approaches with novel interpretability techniques, creating bridges between complex AI systems and human understanding. Dr. Della Vedova has received several prestigious recognitions for his work: Best PhD thesis award from the Order of the Engineers of Bergamo (2013) Italian champion of Il Cervellone (2012) Top Italian performer in IEEEXtreme 6.0 programming competition (148th overall globally, 2012) Premio Arturo Schena award from Fondazione Credito Valtellinese (2010) With over 50 students supervised through bachelor's and master's theses, Dr. Della Vedova has established himself as a dedicated mentor in the AI community. His current PhD students include Minerva Suvanto working on interpretable NLP and Vivien Lacorre developing AI for railway infrastructure inspection. His supervision spans diverse topics from forest naturalness evaluation to hate speech detection and transportation optimization. Beyond formal supervision, he actively contributes to educational initiatives including serving as Director of Chalmers' Data Science and AI master's program and developing innovative teaching methods that connect theoretical concepts with real-world applications. Dr. Della Vedova is deeply embedded in both academic and professional communities. He leads the Applied Artificial Intelligence research group at Chalmers while maintaining strong connections with European research networks through projects like the ERASMUS+ EUrienteering initiative. His interdisciplinary approach is reflected in collaborations across computer science, environmental science, and social sciences. Notably, he applies his AI expertise to orienteering both as a researcher developing localization methods and as a licensed Event Advisor for the International Orienteering Federation, demonstrating how his professional and personal interests converge in innovative ways.

• Blockchain Technology
• Internet of Things (IoT)
• Cybersecurity
• +۴ مورد دیگر

Ali Dorri is an Associate Professor in the School of Computer Science at Queensland University of Technology's Faculty of Engineering. His research focuses on the intersection of blockchain technology, Internet of Things (IoT), and cybersecurity, with significant contributions to privacy-preserving systems and energy trading applications. He maintains an active research profile with consistent publications in top-tier venues including IEEE Transactions, ACM Computing Surveys, and various IEEE conferences. Dr. Dorri's research interests center on blockchain technology and its applications to real-world problems. His work addresses critical challenges in IoT security, privacy-preserving systems, energy trading mechanisms, and supply chain management. He has developed innovative solutions including Tree-Chain (a lightweight consensus algorithm for IoT-based blockchains), LSB (a lightweight scalable blockchain for IoT security), and various blockchain storage optimization techniques. His research bridges theoretical concepts with practical implementations, often targeting specific industry challenges in manufacturing, energy, and supply chain sectors. Analysis of his recent publications reveals a strong focus on optimizing blockchain for resource-constrained environments like IoT networks, developing privacy-preserving mechanisms for sensitive applications, and creating practical implementations for energy trading systems. His work shows increasing sophistication in addressing scalability challenges while maintaining security and privacy guarantees. The interdisciplinary nature of his research connects computer science fundamentals with applications in energy systems, manufacturing, and supply chain management. Dr. Dorri has established productive research collaborations with colleagues at QUT including Raja Jurdak, Salil Kanhere, and Gowri Ramachandran, as well as international collaborators. His publications demonstrate consistent productivity with multiple high-impact papers each year, including several that have received significant citations within the blockchain and IoT research communities.

Daniela Margareta Chioreanمشاهده پروفایل

استاد

• Graphic Design
• Visual Communication
• Intellectual Property Law
• +۳ مورد دیگر

Daniela Margareta Chiorean serves as University Professor in the Graphics Department at the University of Art and Design Cluj-Napoca, where she has held academic positions since 2000 and currently serves as Prorector responsible for quality assurance (2023-2024). She previously served as Dean of the Faculty of Plastic Arts (2012-2015) and Department Director for Graphics (2015-2023). Concurrently, she maintains an active legal practice as an attorney specializing in civil law and intellectual property at the Cluj Bar Association since 2007. Her educational background includes a PhD in Visual Arts (2007) from UAD Cluj-Napoca with thesis 'Man - Media. Traditional and new media in graphics,' a Master's in Civil Law (2005-2007), Law degree (2001-2005), and dual Master's degrees in Visual Arts (2001-2003). She completed specialized training in intellectual property at WIPO (2002) and cultural management/multimedia in Germany (2002-2003). Chiorean's research bridges graphic design, digital media, and intellectual property law, examining how traditional media interacts with contemporary digital environments. Her work explores symbolic dynamics in advertising, the evolution of typography from Gutenberg to virtual publications, and the legal frameworks governing creative works in digital spaces. She investigates how new technologies transform artistic practices while maintaining connections to historical techniques, with particular focus on remix culture and copyright issues in visual communication. Her publication trends reveal consistent exploration of media transitions, with recent work analyzing digital image processing, urban-nature representations in artificial environments, and comparative studies of display versus print media. These publications demonstrate her interdisciplinary approach connecting artistic practice with scholarly inquiry into media evolution. Premiul UAP România pentru grafică - tineret (2002) Premiul Vespasian Lungu pentru grafică (1997) As a researcher, she has led multiple nationally-funded projects including 'Vector – Design and Book Illustration' (2012) through the National Cultural Fund and 'Center for Promoting Entrepreneurship in Sustainable Development' (2010-2013). She coordinates international collaborations through Erasmus+ and Leonardo da Vinci programs, organizing workshops on infographics, bookbinding, and digital media. Her professional activities span academic leadership, legal practice in intellectual property, and active participation in national and international artistic communities as both creator and evaluator. She coordinates specialized workshops in infographics and bookbinding techniques, and participates annually in the Brâncuși International Workshops for sculpture, painting, and graphics. Her collaborative network extends across European institutions through multiple international partnerships, with recent involvement in Korea's 'O întâlnire și o altă călătorie începe' exhibition (2024).

• Automotive Security
• Network Security
• IT Security
• +۵ مورد دیگر

Hans-Joachim Hof is a Professor and Vice President for Teaching and Students at Technische Hochschule Ingolstadt (THI), where he has been employed since 2016. He serves as Head of Bachelor Cybersecurity (since 2022), Project Manager for THIsuccessAI (since 2021), and Head of the Research Group 'Security in Mobility' at the CARISSMA Institute of Electric, Connected and Secure Mobility. Additionally, he chairs the Scientific Board of the Center of Entrepreneurship and serves on the Supervisory Board of AININ. Professor, Head of INSecurity - Ingolstadt Applied IT Security Research Group (since WS 2016) Professor of Secure Software Systems, Head of MuSe - Munich IT Security Research Group at HAW Munich (2011-2016) Research Scientist at University of Karlsruhe (2008-2011) Research Assistant at Institute for Telematics, University of Karlsruhe (TH) (2003-2007) Professor Hof holds a doctorate in engineering and completed studies in computer science with a specialization in telematics and reliability architectures of systems, with a minor in law. His research spans automotive security, network security, and IT security, with recent focus on security in the Internet of Things, development processes for Secure Automotive Software, Automotive Blockchains, and Future Automotive Security Architectures. His work bridges theoretical security frameworks with practical automotive applications, particularly in electric vehicle security and battery management systems. Hof's recent publications reveal a strong trend toward automotive cybersecurity, with particular emphasis on electric vehicle infrastructure security, battery management systems, and vehicle security operations centers. His research increasingly addresses the security challenges of connected and autonomous vehicles, with growing attention to trust management systems and the security implications of AI in automotive contexts. The interdisciplinary nature of his work connects computer security with automotive engineering, energy systems, and digital forensics. Professor Hof has received numerous prestigious awards for his research contributions: Multiple Best Paper Awards at SECURWARE (2015, 2016, 2017) Best Paper Awards at CENTRIC (2010, 2012) Best Speaker Award at ESE Congress 2015 IARIA Fellow recognition Best Paper Award at ICIW 2010 As Editor-in-Chief of the International Journal on Advances in Security and Chairman of the German Chapter of the ACM, Hof plays a significant role in shaping security research discourse. His leadership extends to the German Informatics Society where he serves on the Executive Board. His research group INSicherheit (http://insi.science) actively collaborates with industry partners on real-world security challenges. Professor Hof leads the INSecurity research group at THI, which focuses on applied IT security with particular expertise in automotive contexts. The group maintains strong industry connections and operates within the CARISSMA research institute, which specializes in electric, connected, and secure mobility. Their work includes practical security testing, development of security architectures, and analysis of emerging threats in automotive systems, with notable contributions to EV charging security, battery management systems, and vehicle forensics.

• Social Psychology
• Personality Psychology
• Embodiment
• +۳ مورد دیگر

Brian P. Meier is a Professor of Psychology at Gettysburg College in the College of Arts and Sciences, while Michael Schaefer is affiliated with the Medical School Berlin. Both researchers collaborate on cross-cultural psychological studies examining personality traits and sensory experiences. Meier's academic background demonstrates extensive expertise in social psychology, with particular focus on embodiment theory, conceptual metaphors, and personality research. His work explores how physical experiences shape abstract concepts, such as the connection between sweet taste preferences and agreeableness. Schaefer contributes psychological expertise from a European medical school context, though specific details about his academic trajectory are limited in the available information. Research interests include social psychology, personality psychology, embodiment theory, and cross-cultural comparisons. Meier's work frequently examines how bodily states influence cognitive processes and social judgments, with notable contributions to understanding the sweet taste-agreeableness connection, color perception in social contexts, and religious metaphors. The collaborative research demonstrates consistent exploration of how sensory experiences map onto social concepts across diverse cultural settings. Recent publications reveal a strong trend toward cross-cultural validation of psychological phenomena, particularly examining how conceptual metaphors operate consistently across different national contexts. The 2024 paper on agreeableness and sweet taste preferences represents the culmination of this line of research, demonstrating cross-cultural replication across four distinct countries. The researchers have not received specific scientific awards mentioned in the available documentation. Meier appears to have mentored numerous students through collaborative research projects, though specific student names are not listed in the provided materials. The research program has secured funding for cross-cultural studies examining basic psychological processes across international contexts. Both researchers appear to be part of broader collaborative networks that connect American and European psychological research institutions, facilitating cross-cultural investigations of fundamental psychological processes.

• Environmental psychology
• Environmental neuroscience
• Behavioural plasticity
• +۳ مورد دیگر

Simone Kühn serves as Director of the Research Center for Environmental Neuroscience at the Max Planck Institute for Human Development in Berlin and holds the position of Heisenberg Professor at the University Medical Center Hamburg-Eppendorf since 2016. Previously, she led the Lise Meitner Group for Environmental Neuroscience at the Max Planck Institute (2019-2024) and currently directs the Psychiatric Environmental Neuroscience (PEN) working group, a collaboration between the MPIB and Charité-Universitätsmedizin Berlin since 2025. Her academic credentials include a Dipl.-psych from the University of Potsdam (2006), Dr. rer. nat. from the University of Leipzig (2009), and Habilitation in Psychology from Humboldt-Universität zu Berlin (2012). These qualifications established her expertise in the neural mechanisms underlying human-environment interactions. Dr. Kühn's pioneering research examines how natural versus built environments impact mental health, cognitive processes, and neural structures across the lifespan. Her work integrates environmental psychology, neuroscience, and clinical psychiatry to investigate how exposure to different environments shapes brain function and psychological well-being. She employs advanced methodologies including structural and functional MRI, virtual reality environments, and longitudinal study designs to uncover the neural pathways connecting physical environments to mental health outcomes. Her research has demonstrated that natural environments can reduce stress, enhance cognitive restoration, and positively influence brain structure, particularly in regions associated with emotion regulation and memory. Analysis of her extensive publication record reveals a consistent trajectory toward increasingly sophisticated investigations of environmental influences on the brain. Her recent work has expanded into virtual reality applications for mental health treatment, the neural mechanisms of architectural design preferences, and the impact of air pollution on brain health. She has pioneered experimental approaches to study environmental effects through controlled exposure studies, including the development of virtual nature environments that can be precisely manipulated to isolate specific environmental features. Her scientific contributions have been recognized through prestigious appointments: Election to the German National Academy of Sciences Leopoldina Membership in the DFG-Network WAS (Wirkungsforschung in Architektur und Städtebau) Service on the Psychology Review Board of the German Research Foundation (DFG) Fellowship at the German Institute for Economic Research (DIW) Early recognition through admittance to Studienstiftung des deutschen Volkes (2005) Dr. Kühn has mentored numerous doctoral and master's students whose theses explore diverse aspects of environmental neuroscience, from the impact of natural environments on stress physiology to the neural correlates of architectural preferences. Her research has been supported by substantial funding that has enabled large-scale investigations of environmental influences on brain health across different age groups and populations, including vulnerable individuals with mental health conditions. As leader of the Center for Environmental Neuroscience, she directs a multidisciplinary team of researchers who employ cutting-edge methodologies to investigate how environmental factors shape brain development, function, and mental health. The center's work has significant implications for evidence-based urban planning, therapeutic interventions using nature exposure, and understanding the neural basis of human-environment interactions in an increasingly urbanized world.

Gabriele Ripplمشاهده پروفایل

استاد

• Cultural sustainability
• Literature and ecology
• Reception of classical antiquity in Anglophone literature
• +۲۰ مورد دیگر

Prof. Dr. Gabriele Rippl is a Full Professor and Chair of Literatures in English/North American Literature and Culture at the University of Bern, Switzerland, where she has served as Director of the Department of English since 2005. She previously held professorial positions at the University of Göttingen (2003-2005), and lecturing positions at the Universities of Freiburg, Zurich, Bern, Tübingen, and Bielefeld. Her extensive administrative experience includes serving as Dean of the Faculty of Humanities (2021-2023), Vice-Dean (2019-2021), and President of the Collegium generale (2007-2015) at the University of Bern. Her educational background includes a 'Habilitation' at the University of Constance (2002), a PhD in English and American Studies from the same institution (1995), and a DFG doctoral grant at the postgraduate school 'Theory of Literature and Communication' (1989-1995). She has held numerous prestigious fellowships including at Sidney Sussex College, Cambridge (2002), the University of Wales (2003), UCLA (2015), and the Center for Advanced Studies in the Humanities Morphomata Kolleg, Cologne (2017). Current Research Focus: Cultural Sustainability Key Area: Intermediality (text-picture relationships, particularly ekphrasis and eco-ekphrasis) Specialization: Anglophone world literatures across historical periods Theoretical Framework: Literary theory with emphasis on postcolonial and transcultural perspectives Additional Interests: Autobiography and life writing, literature and anthropology, seriality studies Prof. Rippl's recent publications demonstrate a clear trajectory toward environmental humanities, particularly through the lens of eco-ekphrasis, while maintaining her longstanding expertise in intermedial studies. Her work bridges literary analysis with broader cultural, ecological, and sustainability concerns, reflecting an increasingly interdisciplinary approach that connects literary studies with environmental science and cultural sustainability frameworks. The publications reveal a sophisticated integration of visual culture studies with contemporary ecological concerns, particularly in how literary texts represent and engage with environmental imperatives. 2020-present: Member and President of Specialised Committee Careers, Swiss National Research Council 2017: Fellowship at Center for Advanced Studies in the Humanities Morphomata Kolleg, Cologne 2015: Visiting Scholarship at UCLA supported by SNSF 2014-present: Member of AcademiaNet – European Expert Database of Outstanding Female Academics 2008: Fellowship at University of Western Ontario As an advisor, Prof. Rippl has supervised numerous doctoral candidates working on diverse topics including world literature, intermediality, postcolonial studies, and environmental humanities. Her current research projects include 'Anglophone Life Writing Today: Transcultural Figurations – Intermedial Constellations,' 'Mediating the Ecological Imperative: Modes and Formats of Engagement,' and interdisciplinary work on 'Cultural Sustainability.' She leads the 'Der ökologische Imperative' SNSF Sinergia project (2021-2024), which brings together scholars from English studies, art history, and social anthropology. She also serves on multiple Swiss National Science Foundation committees, demonstrating significant influence in national research policy. Prof. Rippl directs the interdisciplinary Walter-Benjamin-Kolleg research platform 'Auto_Bio_Graphie,' collaborating with Dance Studies, Spanish Literature, and Visual Anthropology. She previously led the SNF Doctoral research group on 'Seriality and Intermediality in Graphic Novels' and the project 'Cosmopolitanism and Identity in Contemporary Indian Literatures in English.' Her editorial work includes the peer-reviewed journal Anglia and the Anglia Book Series, where she has published extensively on intermediality, cultural sustainability, and world literatures.

• Developmental Psychology
• Cognitive Neuroscience
• Language Acquisition
• +۴ مورد دیگر

Judit Gervain is a Full Professor at the Department of Developmental and Social Psychology at the University of Padua, Italy, and a CNRS Senior Research Scientist (Directeur de Recherche) at the Integartive Neuroscience and Cognition Center (CNRS & Université Paris Descartes), Paris, France. Her research focuses on early speech perception, language acquisition in monolingual and bilingual infants, and the neural mechanisms underlying language learning. She pioneered studies on newborn speech perception using near-infrared spectroscopy (NIRS), revealing prenatal influences on perceptual abilities and the emergence of grammatical structures in preverbal infants. Education: PhD in Cognitive Neuroscience (2002, SISSA, Trieste), postdoctoral research at the University of British Columbia (2007–2009), and CNRS researcher since 2009. She has authored over 100 peer-reviewed articles in journals like Science Advances , Nature Communications , and Developmental Science . Research Interests: Infant language processing, bilingualism, neuroimaging techniques (fNIRS), and comparing infant learning trajectories to artificial intelligence systems. Her work bridges developmental psychology, neuroscience, and computational linguistics, emphasizing the role of innate biases and environmental input in language acquisition. Her recent studies explore how infants’ learning mechanisms differ from Large Language Models (LLMs), focusing on input requirements, critical periods, and the role of multimodal integration. She also investigates the impact of prenatal auditory experience on neonatal speech perception and the neural foundations of linguistic structure detection. Labs/Teams: Affiliated with the CNRS’s Integartive Neuroscience and Cognition Center and the University of Padua’s developmental psychology group. Serves as associate editor for Developmental Science and Neurophotonics .

Jennifer M Mullinaxمشاهده پروفایل

دانشیار

• Wildlife Ecology
• Habitat Modeling
• Zoonotic Disease Dynamics
• +۳ مورد دیگر

Dr. Jennifer M. Mullinax is an Associate Professor in the Department of Environmental Science & Technology at the University of Maryland, College Park, within the College of Agriculture and Natural Resources. She leads the Applied Spatial Wildlife Ecology Lab (ASWEL), focusing on understanding wildlife movement dynamics and their interactions with zoonotic disease transmission in human-wildlife interfaces. Her research integrates spatial ecology, epidemiology, and conservation biology to address critical issues such as avian influenza surveillance, habitat modeling for black bears, and urban wildlife management. Her expertise spans Wildlife Ecology , Habitat Modeling , and Zoonotic Disease Dynamics . Recent projects include assessing SARS-CoV-2 in wild cervidae, analyzing avian influenza spillover risks, and modeling deer movement in suburban environments. She emphasizes practical decision tools for wildlife disease management and habitat conservation, particularly in fragmented and urbanized landscapes. Dr. Mullinax’s work often addresses spatial epidemiology, such as studying tick-borne pathogens in white-tailed deer and evaluating historical park designs’ impacts on urban bird diversity. Her lab collaborates on conservation challenges like Louisiana black bear habitat prioritization and elk population viability analyses in Tennessee. Her research outputs highlight interdisciplinary approaches to biodiversity conservation, integrating ecological, social, and technological factors. Despite no listed awards, her contributions to wildlife health and spatial modeling are notable in environmental science circles.

Reinhard Jungمشاهده پروفایل

دانشیار

• Prehistoric Archaeology
• Mediterranean Archaeology
• Bronze Age Studies
• +۵ مورد دیگر

PD Dr. Reinhard Jung is an Associate Professor and Group Leader of the research group 'Mediterranean Economies' at the Institute for Oriental and European Archaeology (OREA) of the Austrian Academy of Sciences in Vienna. His work focuses on prehistoric archaeology in the Mediterranean and Southeast Europe, with a specialization in the Bronze and Early Iron Ages. He leads excavations and interdisciplinary research projects such as those at Punta di Zambrone (Italy) and Ayios Vasileios (Greece). Key research interests include Mycenaean Greece, Aegean-Italian cultural and economic interactions, chronology systems, and the application of archaeometric methods. He has published extensively on topics such as Mycenaean pottery production, Bronze Age trade networks, and the collapse of Mediterranean palatial systems. Recent research highlights include organic residue analysis at Ayios Vasileios, interdisciplinary studies on Punta di Zambrone's role as a harbor site, and investigations into the absolute chronology of Mediterranean Bronze Age events. His work bridges archaeology with natural sciences, emphasizing collaborative, data-driven approaches to understanding ancient societies. He has edited volumes on Mediterranean economies, Mycenaean palace destructions, and Bronze Age transformations, reflecting his role in shaping scholarly discourse. His contributions span excavations, publications, and leadership in international collaborative projects, making him a leading figure in Aegean and Mediterranean prehistory.

Anna Forssbergمشاهده پروفایل

دانشیار

• Comparative Literature
• Literary Value Theory
• Swedish Literature
• +۵ مورد دیگر

Anna Forssberg is an Associate Professor in Comparative Literature at Karlstad University, affiliated with the Faculty of Arts and Social Sciences and the Department of Language, Literature and Intercultural Studies. She is an active member of KuFo (the culture studies research group) at the university, where she has been conducting research on literary value in Swedish and American literature since 2020, primarily in collaboration with Anna Linzie. Her research interests focus on: Comparative literary value systems Worker literature and representations of labor Author studies, particularly of Selma Lagerlöf and Aksel Sandemose Literary sociology and the representation of social structures Body representation and desire theory in literature Internationalization and transnational reception of literature Literary ecology and nature representation Forssberg's scholarly work demonstrates a consistent engagement with how literature represents work, value systems, and social structures across different cultural contexts. Her recent publications show particular interest in Nordic perspectives on worker literature, the international reception of Swedish authors, and literary representations of the body and desire in industrial contexts. She frequently employs comparative approaches, examining connections between Swedish and American literature while exploring how literary works reflect and shape societal values. Her scientific contributions include numerous publications on Selma Lagerlöf's international reception, worker literature beyond established canons, and the representation of reading and learning in works by Dickens, Zola, and Dos Passos. Forssberg's research often intersects literary theory with sociology, examining how literature reflects and influences social structures and value systems.

Konrad Kowalczykمشاهده پروفایل

دانشیار

• Speech and Audio Signal Processing
• Machine Learning
• Deep Neural Networks
• +۶ مورد دیگر

Konrad Kowalczyk is an Associate Professor at AGH University of Science and Technology in Krakow, Poland, where he heads the Signal Processing Group within the Faculty of Computer Science, Electronics and Telecommunications. With extensive international experience from institutions including Queen's University Belfast, Stanford University, and Fraunhofer Institute, he has established himself as a leading researcher in audio and speech signal processing. His academic journey includes B.Eng. and M.Sc. degrees from AGH University (2005), a Ph.D. from Queen's University Belfast (2009), and a Habilitation in ICT from AGH University (2020). B.Eng. and M.Sc. in Electronics and Telecommunications, AGH University of Krakow (2005) Ph.D. in Electronics, Queen's University Belfast, UK (2009) Habilitation (D.Sc.) in Information and Communication Technology, AGH University of Krakow (2020) Kowalczyk's research spans multiple cutting-edge areas in audio processing, with particular focus on speech and audio signal processing enhanced by machine learning techniques. His work integrates deep neural networks with traditional signal processing methods to address challenges in array signal processing , speech enhancement , and speaker recognition . The research group he leads explores innovative applications in distributed signal processing for IoT , acoustic event detection , and spatial audio rendering , bridging theoretical advances with practical implementations. His recent publications demonstrate a clear trend toward integrating deep learning with traditional signal processing techniques, particularly in speaker diarization, source separation, and robust speech recognition. The research increasingly focuses on real-world applications requiring reverberation-robust processing , distributed microphone array systems , and end-to-end neural architectures that can operate in challenging acoustic environments. There's a noticeable shift toward more complex, integrated systems that combine multiple signal processing tasks. Stanislaw Staszic Medal for best graduate of AGH (2005) IEEE Best Student Paper Contest finalist (2007) AES Student Technical Paper Award winner (2008) Best Student Paper Award at IWAENC conference (2014) Best Paper Awards at IEEE SPA conferences (2016, 2019) Polish Ministry of Science Scholarship for Distinguished Young Scientists (2016-2019) Prime Minister Award for outstanding scientific achievements (2020) As Principal Investigator, Kowalczyk leads multiple significant research projects including "Acoustic Intelligence" (2024-2028) funded by National Science Center, and "Deep extraction for robust speech recognition" (2023-2028). He has successfully secured funding from prestigious programs including First TEAM from the Foundation for Polish Science, and EU FP7 projects. His research group actively supervises Ph.D., M.Sc., and B.Eng. students, with strong connections to international institutions including Aalto University and IEEE Signal Processing Society. The research output includes numerous journal publications, conference papers, patents, and software implementations that have advanced the field of audio signal processing. Kowalczyk leads the Signal Processing Group at AGH University, which focuses on developing innovative solutions for speech and audio processing challenges. The group maintains strong collaborations with international institutions including Aalto University (Finland), and participates in European research initiatives. Their work spans theoretical development through practical implementation, with applications ranging from medical voice assistants to distributed acoustic sensor networks.