جست‌وجوی استاد و پژوهشگر

Shih Lung Shawمشاهده پروفایل

استاد

• Transportation Geography
• Geographic Information Science
• Spatio-temporal Analysis
• +۳ مورد دیگر

Shih Lung Shaw is Chancellor's Professor and Professor in the Department of Geography at the University of Tennessee, Knoxville, with affiliations to the Center for Transportation Research. His research integrates transportation geography, geographic information science (GIScience), and spatiotemporal analysis to study human activity patterns, mobility behaviors, and transportation systems. Shaw's work focuses on developing analytical frameworks for understanding human dynamics in physical-virtual environments, applications of GIS in transportation (GIS-T), and the effects of information technologies on travel behaviors. Recent projects examine urban mobility during the COVID-19 pandemic and theoretical frameworks for cyber victimization risk in hybrid spaces. He has published extensively on human mobility patterns using emerging data sources like mobile phone location data. Shaw's methodological innovations include advancements in time geography, space-time GIS, and spatiotemporal analytics. His research contributes to smart city development and sustainable transportation planning.

Chris Develderمشاهده پروفایل

دانشیار

• Natural language processing
• Information extraction
• Smart grid
• +۲ مورد دیگر

Chris Develder is an Associate Professor with the research group IDLab in the Department of Information Technology (INTEC) at Ghent University - imec, Ghent, Belgium. He received his MSc degree in computer science engineering and PhD in electrical engineering from Ghent University in Jul. 1999 and Dec. 2003 respectively (as a fellow of FWO). He has held research visitor positions at UC Davis, CA, USA (Jul.-Oct. 2007) and at Columbia University, NY, USA (Jan. 2013 - Jun. 2015). Prof. Develder leads two research teams within the Internet Technology and Data Science Lab (IDLab): one focused on converting text to knowledge (NLP, primarily information extraction using machine learning), and another on data analytics and machine learning for smart grids. His Text-to-Knowledge (T2K) research group has a strong track record in information extraction across various domains including news, human resources, and biomedical applications, as well as text classification tasks such as sentiment analysis. More recently, the group has expanded into conversational agents and generative models for educational applications. With his team, Prof. Develder has published over 200 papers in international journals and conferences including EMNLP, CoNLL, EACL, ACL, ECIR, CIKM, WSDM, WWW, and NIPS. His recent publications demonstrate a growing focus on practical applications of NLP in healthcare (personality style recognition from speech, biomedical adverse drug event extraction), education (question generation, gap-filling exercises), and labor market analysis (career path prediction, skill extraction). His work bridges theoretical advances in machine learning with real-world applications across multiple domains. Prof. Develder actively supervises PhD students and has co-supervised numerous successful doctorates, including Maarten De Raedt (2024), Semere Kiros Bitew (2024), Yiwei Jiang (2024), Amir Hadifar (2023), and Klim Zaporojets (2022). His former students have gone on to work at organizations including EarlyTracks, Zoom, Nokia Bell Labs, Clarivate, and various academic institutions.

Nitin Williamsمشاهده پروفایل

استاد مهمان

• Neuroscience
• Aging
• Functional Connectivity
• +۶ مورد دیگر

Nitin Williams is a Visiting Professor in the Department of Neuroscience and Biomedical Engineering. His research focuses on brain connectivity, aging, and neuroimaging techniques like MEG and fMRI. He has contributed to understanding functional connectivity dynamics, age-related neural changes, and computational models of brain networks. Recent work includes studies on TMS-evoked potentials, phase synchronization in resting-state networks, and discrete Ricci curvatures to analyze brain networks. He has collaborated internationally, including a visiting research stint at the Institute of Mathematical Sciences in India. Williams is an active member of academic communities, serving on editorial boards for journals like Frontiers in Computational Neuroscience and Network: Computation in Neural Systems . His datasets, including connectome analyses and biophysical models, highlight computational approaches to neuroscience challenges. Key research themes include: (1) Aging’s impact on neural plasticity and connectivity, (2) Biophysical modeling of phase synchronization, (3) Multimodal neuroimaging integration, and (4) Applications of graph theory in brain network analysis.

Luc Florackمشاهده پروفایل

استاد

• Medical Imaging
• Differential Geometry
• MRI Techniques
• +۵ مورد دیگر

Luc Florack is a Full Professor in the Applied Differential Geometry group at Eindhoven University of Technology (TU/e). His research focuses on multiscale and differential geometric representations of medical imaging data, particularly in MRI techniques like diffusion and tagging MRI. He applies these methods to connectomics and myocardial function analysis. He holds an MSc in theoretical physics and a PhD in medical image analysis from Utrecht University. He has authored nearly 200 peer-reviewed papers and served on editorial boards and conference committees. His work includes developing the Sheet Probability Index (SPI) for white matter analysis and stability metrics for optic radiation tractography. Affiliations: EAISI, EAISI Health, Center for Analysis, Scientific Computing & Appl., Applied Differential Geometry Research interests include differential geometry applications to image analysis, tensor calculus, and partial differential equations. His recent work emphasizes clinical workflow integration of mathematical techniques. He has contributed to international conferences and holds roles in Dutch academic organizations like 3TU.AMI and NWO's Mathematics Advisory Board. Publications span neuroimaging, cardiovascular MRI, and tractography validation. His methods address challenges in quantifying brain sheet structures and improving surgical prediction accuracy.

Benedetta Crisafulliمشاهده پروفایل

دانشیار

• Marketing
• Consumer Behavior
• Brand Communications in Crises
• +۵ مورد دیگر

Benedetta Crisafulli is an Associate Professor and Research Lead at Birkbeck Business School, University of London. She holds visiting professorships at Università degli Studi di Padova (Italy), Università Cattolica del Sacro Cuore (Milan, Italy), and Athens University of Economics and Business (Greece), as well as a visiting scholar role at the Ehrenberg-Bass Institute for Marketing Science at the University of South Australia. Prior to academia, she worked in marketing for a global technology firm managing European operations and business partnerships. Education: PhD in Marketing, MSc in Business Research Methods, MA in Marketing, and Laurea (Honours) in Linguistics and Business (earned across Italy, Germany, and the UK). She is a Teaching Fellow of the Higher Education Academy (HEA) and a Fellow of the HEA. Benedetta teaches Strategic Marketing Management (Level 7) and Relationship Marketing (Level 7), with modules including BUMN047H7 and BUMN085H7. Her research focuses on consumer psychology during brand crises, service recovery mechanisms, and influencer marketing dynamics. Methodologically, she employs experimental designs and quantitative analysis. Recent grants include funding from the Wellcome/British Academy for crisis communication studies. Research Centres: Member of Birkbeck’s Responsible Business Centre, Centre for Innovation Management Research, and Research Centre for Environment and Sustainability. Awards: 2022 Tress Prize for Social Sciences, 2022 Best Dissertation Supervisor, 2016 EDAMBA Thesis Award. Consultancy: Public engagement projects with NHS Hospital Trust since 2017, leading the InterCarabao project on influencer marketing. Benedetta actively contributes to marketing discourse via media interviews (e.g., AdWeek, Marketing Dive, Chartered Institute of Marketing) and serves as an ad hoc reviewer for Journal of Service Research , Industrial Marketing Management , and others.

Nicholas A. Peppasمشاهده پروفایل

استاد

• Biomaterials
• Controlled Drug Delivery
• Biomedical Engineering
• +۷ مورد دیگر

Nicholas A. Peppas is a distinguished professor holding multiple positions across various departments at the University of Texas at Austin, including the McKetta Department of Chemical Engineering, Biomedical Engineering, Pediatrics, Surgery and Perioperative Care at Dell Medical School, and Molecular Pharmaceutics and Drug Delivery at the College of Pharmacy. He also holds several honorary professorships and doctorates from international institutions such as the National Technical University of Athens and the University of Santiago de Compostela. His educational qualifications include a Sc.D. from MIT (1973) and numerous honorary degrees (Doc. Hon. Causa) from global universities. He teaches courses in biomedical engineering, drug delivery, and polymer science, reflecting his interdisciplinary expertise. Peppas' research focuses on biomaterials, controlled drug delivery, and bionanotechnology. His group pioneered intelligent hydrogels for drug delivery, molecularly imprinted polymers for diagnostics, and bioMEMS for medical applications. Recent work emphasizes nanoparticle-mediated delivery for cancer and autoimmune diseases, alongside regenerative medicine scaffolds. His awards span five decades, including the Warren K. Lewis Award (2021), Ellis Island Medal of Honor (2020), and over 300 academic fellowships. Peppas has advised numerous graduate students and led groundbreaking projects funded by the NIH, NSF, and industry partnerships. He directs the Laboratory of Biomaterials, Drug Delivery, and Bionanotechnology, which develops next-generation systems for healthcare. Current projects address challenges in targeted drug delivery, biosensing, and tissue engineering, with applications in diabetes, bone regeneration, and cancer therapy.

Longbing Caoمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Professor Longbing Cao is the Distinguished Chair in Artificial Intelligence and Director of the Frontier AI Research Centre at Macquarie University. He holds dual PhDs in Artificial Intelligence and Computing Science, an MSc in Communication, and a Bachelor's degree in Electrical Engineering. His research spans AI, data science, behavior informatics, and enterprise innovation, with over 400 publications and significant industry collaborations. Education: PhD in Pattern Recognition and Intelligent Systems, Graduate University of Chinese Academy of Sciences PhD in Computing Science, University of Technology Sydney MSc in Communication Bachelor's in Electrical Engineering Research Interests: Focuses on AI systems, federated learning, time series forecasting, and humanoid robotics. His work integrates theoretical advancements with real-world applications in finance, healthcare, and smart cities. Recent Articles: Explores cutting-edge topics like generative AI (ProgDiffusion), federated learning (FedSI), and pandemic modeling (waning effect of interventions). These contributions highlight advancements in both foundational AI and applied data science. Awards: Eureka Prize (2019), ACM Distinguished Scientist (2019) Grants & Projects: Leads major initiatives such as the Federated Omniverse Facilities for Smart Digital Futures (2024-2025) and Data Complexity and Uncertainty-Resilient Deep Variational Learning (2024-2027). Prior roles include Founding Director of UTS Advanced Analytics Institute (2011-2014). Labs & Teams: Directs the Frontier AI Research Centre and collaborates with global institutions like Microsoft, Commonwealth Bank, and Shanghai Stock Exchange.

Muhammad Aljukhadarمشاهده پروفایل

استادیار

• Digital Marketing
• Consumer Behavior
• E-commerce
• +۴ مورد دیگر

Muhammad Aljukhadar is an Assistant Professor at HEC Montréal's Department of Marketing. His research focuses on digital marketing, consumer behavior in online environments, and the intersection of technology with consumer decision-making. He holds a Ph.D. in Administration from HEC Montréal, an MBA from Concordia University, and a B.Sc. in Engineering from Damascus University. Aljukhadar teaches courses such as Digital Marketing (MARK 20118A) and Commerce de détail sur Internet (MARK 60106). His recent work explores topics including AI-driven trust in financial services, consumer responses to product design aesthetics, and pandemic vulnerability analysis. He has supervised multiple master's theses and projects, including studies on customer account interfaces and chatbot UX transformations. His publications span journals like Journal of Place Management and Development, Baltic Journal of Management, and Computers in Human Behavior. Key themes include recommendation systems, social media engagement, and e-government service quality metrics. Aljukhadar collaborates frequently with colleagues like Sylvain Sénecal and Danilo Correa Dantas on interdisciplinary research projects.

Sonia Roblesمشاهده پروفایل

دانشیار

• Latin American History
• Mexican History
• Borderlands Studies
• +۵ مورد دیگر

Sonia Robles is an Associate Professor in the Department of History at the University of Delaware, affiliated with the College of Arts & Sciences. Her research focuses on wireless media, technology, and cultural dynamics in Mexico and among Spanish-speaking communities in the U.S. She specializes in Mexican radio history, particularly commercial radio stations along the U.S.-Mexico border during the 1930s-1950s, and their role in connecting Mexican immigrants with their homeland. Her book Mexican Waves: Radio Broadcasting Along Mexico's Northern Border, 1930–1950 (2019) examines how Mexican entrepreneurs built cross-border media networks. Current projects include studies on radio advertising in U.S. Spanish-speaking communities and a history of public broadcasting in Mexico. Her work intersects with Latin American history, borderlands studies, technology studies, and gender analysis. She teaches courses on Latin American, Mexican, Borderlands, and Latinx history, emphasizing cultural and social dimensions of media. Publications span topics like radio dramas, public health communication via radio, and biographies of radio pioneers like María Luisa Ross. Her research highlights radio’s role in shaping cultural identities, transnational communities, and state-society interactions. No academic awards are explicitly listed, though her scholarly contributions reflect strong engagement in media history and Latin American studies.

Savin Ivanمشاهده پروفایل

دانشیار

• economics of innovation
• environmental economics
• climate policy
• +۴ مورد دیگر

Savin Ivan is an Associate Professor of Quantitative Analytics at ESCP Business School's Madrid Campus, where he teaches Advanced Statistics, Machine Learning, and Innovation and Business Ideas courses. He also directs the Master in Management (MiM) specialization in 'AI and Robotics,' contributing significantly to the school's quantitative analytics curriculum and research initiatives. Education: PhD in Economics (2011) from Justus Liebig University of Giessen (Chair of Econometrics) Habilitation (2017) at KIT with thesis titled 'Applications of Evolutionary Optimization and Modelling in Economics' Savin Ivan's research spans multiple interconnected fields at the intersection of economics, environmental policy, and computational methods. His primary focus centers on the economics of innovation, where he examines how technological change and creative processes drive economic development. He has made significant contributions to environmental economics, particularly regarding climate policy effectiveness and implementation challenges. His work on complex systems applies evolutionary and agent-based modeling approaches to understand economic dynamics that traditional models cannot capture. His research on evolutionary economics explores how economic systems evolve through processes analogous to biological evolution, with particular attention to innovation diffusion and technological trajectories. His methodological expertise in machine learning and computational linguistics enables sophisticated analysis of large datasets related to climate policy and economic behavior. His recent publications reveal a clear trend toward interdisciplinary climate policy research that combines computational linguistics with environmental economics. A significant portion of his work analyzes the content of international climate commitments using text mining techniques. He increasingly investigates the social dimensions of climate policy, examining public opinion, cultural factors, and behavioral responses to different policy instruments. His research also demonstrates growing interest in the intersection of AI and climate policy, including comparing expert recommendations with AI-generated advice. Many of his papers employ agent-based modeling to simulate complex policy scenarios that traditional economic models cannot adequately address. Savin Ivan has built a substantial research portfolio with over 75 articles published in JCR-indexed international journals, including prestigious outlets such as Nature Sustainability, Nature Communications, Proceedings of the National Academy of Sciences, and numerous field-specific journals in innovation economics and climate policy. His work appears consistently in Q1 and D1 ranked journals, demonstrating both academic rigor and relevance to pressing societal challenges. Prior to joining ESCP, Ivan held postdoctoral positions at ICTA-UAB working on the ERC project EVOCLIM, where he studied climate policy effectiveness using public and expert surveys combined with artificial intelligence methods. He previously contributed to the KIT-BETA project on general-purpose technologies, creativity, and sustainability, and served as a postdoctoral researcher at Friedrich Schiller University in the Graduate College 'The Economics of Innovative Change.'

• Sustainable Agriculture
• Organic Farming Systems
• Nitrogen Management
• +۵ مورد دیگر

Prof. Dr. Verena Seufert is a Professor leading the 'Sustainable Use of Natural Resources' department at the University of Hohenheim. Her research focuses on sustainable agricultural systems, particularly organic farming practices, nitrogen management, and biodiversity conservation. She investigates how agroecosystems can be transformed to improve ecological and socioeconomic outcomes through crop diversification, agroforestry, and farmer-centered innovations. Her work spans global challenges in food systems, nutrient pollution reduction, and equitable land-use policies. Her recent publications emphasize the interplay between agricultural practices and environmental sustainability, including studies on organic agriculture's global potential, nitrogen footprint mitigation, and the role of values in shaping food systems. She also explores gender equity in land sciences and innovative methods to measure ecosystem service provision in farming systems. Despite her extensive publication record, no specific awards or grants are explicitly mentioned in the provided texts. Her teaching activities include courses on global sustainability challenges and practical internships in regional transformation studies.

John Breslinمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Social Semantics
• +۷ مورد دیگر

John Breslin is a Personal Professor in Electronic Engineering at the University of Galway, leading the TechInnovate/AgInnovate programs. His roles include Director of the Insight (Data Analytics) and VistaMilk (AgTech) research centers. He has authored 350+ publications and co-created the SIOC framework, widely used in web applications. His research spans Data Science, AI, Semantic Web, IoT, and Entrepreneurship. He has won multiple awards, including the Best Irish-Published Book and IIA Net Visionary Awards. His teaching spans 25 years, covering topics like Digital Control Systems and Innovation. He co-founded boards.ie, StreamGlider, and leads initiatives in Galway's innovation ecosystem. Research Interests: Data Science, AI, Social Semantics, IoT, Agricultural Technology, and Innovation. He is ranked top in Engineering and Computer Science citations at the University of Galway. His work contributes to UN SDGs related to Industry, Innovation, and Infrastructure. Education: Details not explicitly provided in text. Collaborations include Bosch, Cisco, IBM, and Harvard Medical School. Active in industry partnerships and startups, including the PorterShed Innovation District. Awards: Best Paper Awards, Entrepreneurship Recognition, and Academic Excellence. Supervised nearly 30,000 ECTS across modules, with a focus on graduate and postgraduate tech innovation programs.

Andreas Kuebartمشاهده پروفایل

پژوهشگر

• Human Geography
• Economic Geography
• Entrepreneurial Ecosystems
• +۱۲ مورد دیگر

Dr. Andreas Kuebart is a Research Associate in the Research Area 'Economy and Civil Society' at the Leibniz Institute for Spatial Social Research (IRS) and a Post-Doc Fellow at the Chair for Socio-Spatial Transformation at Brandenburg University of Technology (BTU). His interdisciplinary work bridges human and economic geography, focusing on entrepreneurial ecosystems, digital economy, and socio-spatial dynamics of health crises like the COVID-19 pandemic. Leibniz Institute for Spatial Social Research (IRS), Research Area Economy and Civil Society Chair for Socio-Spatial Transformation, Brandenburg University of Technology (BTU) He earned his Dr. rer. nat. in Geography from Freie Universität Berlin in 2020, with prior studies at Humboldt University of Berlin, University of Florida, Stockholm University, and Bonn University. PhD (Dr. rer. nat.), Geography, Freie Universität Berlin (2020) Studies in Geography, Humboldt University of Berlin, University of Florida, Stockholm University, Bonn University His research centers on the geographies of socio-spatial processes in the digital economy, particularly examining entrepreneurial ecosystems, financial geographies, regional development, and health geography. Methodologically, he combines qualitative case studies with spatial data science and sequence analysis to understand temporal and spatial dynamics in innovation and pandemic spread. The recent publications highlight a strong trend in analyzing trans-local entrepreneurial networks, startup trajectories, and the spatial-temporal evolution of both innovation ecosystems and public health crises. His work increasingly integrates advanced spatial analytics and sequence-based modeling, especially in the context of Berlin and European-wide systems. Dr. Kuebart has contributed to major policy-oriented outputs for the European Commission through the StepUP Startups project, including influential reports on Europe’s startup landscape and spin-off innovation. He is actively involved in third-party funded research such as 'Disruption and Spatial Development' and 'CoDiff' (Socio-Spatial Diffusion of COVID-19 in Germany), indicating sustained engagement with impactful, interdisciplinary research. He has advised on or led projects analyzing the role of open creative labs, seed accelerators, and spatial infrastructure in entrepreneurial ecosystems. His collaborative work spans multiple institutions and disciplines, often involving teams from IRS, BTU, and international partners. Dr. Kuebart is a key contributor to the 'CODIFF' project on the spatial diffusion of COVID-19 in Germany and has developed phase models and severity indicators for pandemic dynamics. He also leads analytical components in the 'StepUP Startups' project, which maps Europe’s entrepreneurial ecosystem using data-driven methods.

• Traumatic Brain Injury
• Concussion
• Neuroimaging
• +۴ مورد دیگر

Dr. Timothy B. Meier is a Professor at the Medical College of Wisconsin , holding dual appointments in the Departments of Neurosurgery and Biomedical Engineering . He is a core member of the Neuroscience Research Center , Brain Injury Research Program , and Wisconsin Institute of NeuroScience (WINS) . With a PhD in Neuroscience from the University of Wisconsin-Madison, he specializes in neuroimaging, biomarker discovery, and neurochemical pathways related to traumatic brain injury (TBI) and concussion. Education B.S. Psychology, University of Illinois at Urbana-Champaign Ph.D. Neuroscience Training Program, University of Wisconsin-Madison Dr. Meier's research focuses on: Neuroimaging (fMRI, DTI, susceptibility mapping) to characterize structural and functional brain changes post-concussion Biomarker development for TBI diagnosis and recovery tracking, including blood-based and kynurenine pathway markers Long-term effects of repetitive head impacts in athletes across developmental stages Neuroinflammatory mechanisms in TBI and their psychiatric comorbidities Machine learning applications for concussion assessment and outcome prediction His recent publications demonstrate expertise in: Multimodal neuroimaging of pediatric and sports-related TBI Linking cerebrovascular dysfunction to chronic TBI outcomes Advancing standardized diagnostic protocols for concussion Exploring sex-based hormonal influences on recovery Developing objective gait and balance assessments for return-to-play decisions Investigating kynurenine pathway metabolites in TBI and depression Scientific Awards : Graduation with Distinction in Psychology (University of Illinois) National Research Service Award T32-GM007507 UW Vilas Conference Presentation Funding Dr. Meier serves as a Co-Investigator in major grants including the NCAA-DoD CARE Consortium ($4.99M) and GE Healthcare/NFL concussion imaging studies. His work bridges clinical neurosurgery, basic neuroscience, and data science to advance TBI diagnostics and recovery protocols.

• Psychology of Entrepreneurship
• Entrepreneurial Well-being
• Social Entrepreneurship
• +۳ مورد دیگر

Ute Stephan is a Professor of Entrepreneurship at King's Business School, King's College London. Her work sits at the intersection of entrepreneurship, psychology, and organizational behavior, focusing on entrepreneurial well-being, social entrepreneurship, and cultural-institutional influences. Department: Strategy, International Management & Entrepreneurship Key affiliations: IfM Bonn, Founder Mental Health Pledge, GLOBE project Research Themes include: Entrepreneurial Well-Being & Mental Health Cultural & Institutional Impact on Entrepreneurship Social Entrepreneurship & Inclusivity Post-Pandemic Business Recovery Scientific Awards highlight her influence: 2025 JIBS Decade Award Fellow of the International Association of Applied Psychology King's Dean's Award for Outstanding Research (2022) Her editorial leadership spans top journals like Journal of Management and Entrepreneurship Theory & Practice . She leads a 25-country study on entrepreneurship during the pandemic and the WEWell project on women entrepreneurs' well-being.