جست‌وجوی استاد و پژوهشگر

• Productivity and Efficiency Analysis
• Environmental Economics and Policy
• Agricultural Economics
• +۴ مورد دیگر

Dr. Atakelty Hailu is an Associate Professor at the UWA School of Agriculture and Environment, University of Western Australia. He serves as Graduate Research Coordinator and Coordinator of the Master of Agricultural Economics program. His educational background includes a BSc in Agricultural Economics from Alemaya University (1990) and PhD from University of Alberta (1998), with postdoctoral research at the Canadian Sustainable Forest Management Network. Research Expertise: Hailu's research spans productivity and efficiency analysis, environmental policy design, whole-farm bioeconomic modeling, agent-based computational economics, and non-market valuation. His current projects examine marine recreation valuation, economic-hydrologic modeling, China's carbon abatement costs, and human development indicators. Publication Focus: Hailu's recent publications reflect his interdisciplinary approach, addressing technical efficiency in agriculture across multiple countries (Vietnam, Pakistan, Kenya, Bangladesh), sustainable intensification practices, fisheries management innovations, and economic valuation methods. His work consistently integrates econometric methods with environmental policy applications. Awards and Recognition: Outstanding Doctoral Thesis Award (Canadian Agricultural Economics Society) Chancellor's Gold Medal for undergraduate achievements Publication of Enduring Quality Award (CAES, 2018) Graduate Supervision: Hailu has supervised numerous PhD students on projects including marine reserve effectiveness, agricultural efficiency in Vietnam and Ethiopia, conservation valuation in national parks, and fisheries management systems. Current PhD advisees focus on topics ranging from no-take marine reserves to efficiency in Kenyan agriculture. Research Funding: Hailu has secured multiple grants including projects on natural hazard economics (Bushfire CRC), marine conservation strategies (Australian Marine Conservation Society), environmental service policies (AgriFutures Australia), and conservation tender optimization (Dept of Agriculture).

Naeha Sharifمشاهده پروفایل

مدرس

• Computer Vision
• Natural Language Processing
• Medical Image Analysis
• +۵ مورد دیگر

Dr. Naeha Sharif is a Lecturer in Computer Science & Software Engineering at The University of Western Australia (UWA), specializing in Computer Vision (CV) and Natural Language Processing (NLP). She holds a PhD from UWA (2021) focused on AI-driven image captioning and received the prestigious ACS 1962 Medal for outstanding IT/CS research. Her work bridges AI with healthcare, including automated medical assessment via spine scans (DXA) for abdominal aortic calcification analysis and AI-driven medical report generation for fundus imaging. Education: PhD in Computer Science (UWA 2021), Master of Engineering in Biomedical Engineering (Kyung Hee University, 2013). Previous roles include Postdoctoral Fellow at Edith Cowan University (2021–2022). Research Interests: Vision-language models, medical image analysis, captioning metrics, multimodal learning, and AI applications in healthcare. Active in UN SDGs related to health and innovation. Teaching: Unit Coordinator for Computer Graphics & Animation (CITS3003, 2022–2023) Computational Thinking with Python (CITS1401, 2023) Grants: Lead investigator on the 'Generative AI for Screening of Depressive Disorders' project (2024). Awards: Recognized for student learning contributions (2025), best paper awards (2024/2020), and academic excellence honors (2021/2020). Labs/Teams: Member of UWA Natural & Technical Language Processing Group and IEEE Signal Processing Society.

Peter Buxmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Digital Transformation
• Business Informatics
• +۴ مورد دیگر

Prof. Dr. Peter Buxmann is a full professor of business informatics at the Technical University of Darmstadt, holding the Chair in this field. He is an internationally renowned speaker, senior business advisor, and podcaster for the Frankfurter Allgemeine Zeitung. His roles include advisory board memberships for institutions like the Weizenbaum Institute for the Networked Society and Eckelmann AG. His research focuses on AI applications, digital transformation, and future work paradigms, with over 300 publications in top journals and conferences. Education: PhD and habilitation from University of Frankfurt, including a research stay at UC Berkeley's Haas School of Business. Previous positions: Professor at Technical University of Freiberg (2000-2004). Research Interests: Artificial Intelligence (applications in business, healthcare, and ethics), Digital Transformation (organizational and societal impacts), Data-Driven Business Models (platform economics, innovation ecosystems), and Future of Work (human-robot collaboration, agile principles). Keynote Topics: Generative AI and its industry applications Strategic digital transformation frameworks Ethical AI governance Labs/Teams: Leads the HIGHEST innovation center at TU Darmstadt and collaborates with TechQuartier Frankfurt. Founded multiple startups focusing on AI solutions.

Peggy Gregoryمشاهده پروفایل

مدرس ارشد

• Agile Software Development
• Sustainability in IT
• Software Project Management
• +۳ مورد دیگر

Dr. Peggy Gregory is a Senior Lecturer at the University of Glasgow’s School of Computing Science, specializing in empirical software engineering with a focus on human and socio-technical aspects. Her research explores agile methodologies, sustainability practices, and IT workplace dynamics through qualitative methods, often collaborating with industry partners. She chairs the XP Conference Series Steering Committee and co-founded the Agile Research Network, fostering long-term industry-academia collaborations. Key research interests include agile transformation, software project management, and ethical software engineering practices. Her education and professional background are not explicitly detailed in the provided text, but her extensive industry partnerships highlight practical relevance. Research grants include funding from the Agile Business Consortium (2017–2026), DSDM grants (2013–2016), and a Case Study Award for Responsible Research & Innovation (2013). Dr. Gregory leads projects on agility, sustainability, and IT practices, with current funded initiatives in all three areas. She advises doctoral students on topics like DevSecOps frameworks, social robotics integration, and sustainable software engineering. Notable contributions include developing an onboarding model for agile teams and studying leadership dynamics in agile software development. Her work bridges academia and industry, emphasizing practical impact through empirical studies. Recent publications focus on agile culture transformation, risk mitigation in re-engineering, and the ethical implications of digital technologies. She is actively involved in conferences such as XP and IVA, contributing to both research and community-building efforts.

Jurgita Lenkauskaitėمشاهده پروفایل

دانشیار

• Social Sciences
• Education
• Teacher Training
• +۳ مورد دیگر

Jurgita Lenkauskaitė is an Associate Professor in the Department of Education Sciences and Psychology at Vilnius University Šiauliai Academy. She holds a PhD in Education Sciences (Šiauliai University, 2014), alongside a Master’s (2008) and Bachelor’s (2006) degree in the same field. Her research focuses on teacher training, teaching/learning processes, multicultural education, and problem-based learning (PBL). She currently chairs the Committee of Study Programmes in Education at her institution and has led multiple national and international projects, including optimizing higher education networks and improving teacher training systems. Education: PhD in Education Sciences, Šiauliai University (2014) Master’s in Education Sciences, Šiauliai University (2008) Bachelor’s in Education Sciences, Šiauliai University (2006) Research Interests: Dr. Lenkauskaitė’s work emphasizes transformative pedagogies such as cooperative learning, ICT integration in education, and leadership development in educational institutions. She has explored multilingualism in pre-school settings, digital competencies of teachers, and classroom collaboration dynamics. Her projects bridge theory and practice, addressing challenges in PBL implementation and teacher professionalization. Grants/Projects: Optimization of higher education networks between Šiauliai University and Vilnius University (2021–present) Supervision of teacher internships under the EU-funded TĘSK project (2018–2021) Academic expert for Lithuania’s Higher Education Admission System (2020) Professional Memberships: Active in international associations like the European Educational Research Association (EERA), World Educational Research Association (WERA), and the European Alliance for Social Sciences and Humanities. International Experience: Completed internships at the University of Zurich (2012–2013) and Technical University of Dortmund (2011).

Bowen Xuمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Program Analysis
• +۱۲ مورد دیگر

Bowen Xu is an Assistant Professor in the Department of Computer Science at North Carolina State University (NC State), College of Engineering. His research focuses on software engineering, machine learning, and program analysis, particularly in securing AI models and improving code quality. He holds a PhD from Singapore Management University (SMU), where he also conducted postdoctoral research. Education: PhD in Computer Science, Singapore Management University (SMU) Postdoctoral Researcher, SMU School of Computing and Information Systems Research Interests: AI for Code, Backdoor Attacks on Code Models, Vulnerability Detection Code Representation Learning, Model Compression, Safety of AI Systems Chatbot Development for Developers, Automatic Code Review Key Contributions: Developed PTM4Tag+, a Stack Overflow tag recommendation system using pre-trained models Explored stealthy backdoor attacks in code and reinforcement learning systems Pioneered work on automatic vulnerability repair using LLMs and broader input analysis Awards: 2022: Honorable Mention Award (ACSAC) 2018: Highly Commended Full Paper Award (ESEM) Service Roles: Editorial Board Member, Empirical Software Engineering Journal Program Committee Co-chair for ICSE/FSE Research Tracks Organized workshops like FORGE, MaLTeSQuE, and SEA4DQ Labs & Teams: Leads the Softmax Lab at NC State, advising 12+ students across PhD, Master's, and undergraduate levels. Alumni include industry professionals at Microsoft, Barclays, and Marvell Semiconductor.

Ingrid Bauer-Hänselمشاهده پروفایل

استادیار

• Blockchain Applications
• Data Markets and Platforms
• Agile IT Management
• +۳ مورد دیگر

Ingrid Bauer-Hänsel is an Assistant Professor of IT Management at the University of St. Gallen (HSG), affiliated with the Information Management (IWI-HSG) department. Her academic career includes roles as a Senior Technology Manager at Chage:ON (AMAG Group) and a doctoral researcher at the University of Zurich. She holds a Ph.D. in Blockchain Information Systems from the University of Zurich and a M.Sc. in Business Administration and Information Systems from Copenhagen Business School. Her research focuses on blockchain technologies, data markets, agile IT systems, and interorganizational systems design. Notable projects include the InnoSuisse Cardossier Project and studies on blockchain consortia. Bauer-Hänsel teaches courses such as Agile IT and Organization , Information Management , and Business Informatics 1 at both bachelor and master levels. She received the 2018 2nd Runner-up Best Paper Award at the ICIS conference. Her work explores socio-technical systems, tokenization, and AI-driven business models, with a particular emphasis on automotive and financial sectors. Current initiatives include designing blockchain-based data markets and exploring generative AI’s impact on knowledge work. Bauer-Hänsel’s professional background includes IT consulting at PwC, risk management roles at Danske Bank, and academic research at IBM and the Karlsruhe Institute of Technology. She actively contributes to bridging academic research with industry applications through collaborative projects and advisory roles.

Peter J. Mirskiمشاهده پروفایل

استاد

• Management
• Information Technology
• Digital Business
• +۷ مورد دیگر

Peter J. Mirski is a Professor of Management and IT at the Management Center Innsbruck (MCI), a leading business school in Austria. He has been associated with MCI since 1998, serving as head of the Management, Communication & IT and Digital Business & Software Engineering Online programs, which he co-founded. As Chief Information Officer (CIO), he oversees the central IT services department. He also holds a visiting professorship at the University of Nebraska, Omaha, USA. His academic background includes a Doctorate (Dr. rer. soc. oec.) from the University of Innsbruck, specializing in business management and information systems. He co-founded the PDAgroup GmbH in 2008 and has led numerous EU-funded research projects, notably the OPENSKIMR initiative for skill matching in digital labor markets. Mirski's research focuses on eLearning innovations, Industry 4.0, digital transformation, and project management. His work bridges academia and industry, emphasizing practical applications. He has authored over 100 peer-reviewed articles, books, and chapters, spanning topics like big data solutions, mentoring frameworks, and tourism technology. Key Awards: SAP University Alliances Visionary Member, ESCO Maintenance Committee (EU Commission) Professional Roles: Member of Academic Board (SAP DACH), Chair of ERP Summerschool, Scientific Advisor (PDAgroup) Mirski’s teaching spans design thinking, entrepreneurship, and IT governance. He has advised over 50 students in bachelor, diploma, and master theses, focusing on topics like digital twin applications, GDPR compliance, and IT governance maturity. His leadership in EU projects has driven innovations in education, tourism, and workforce development.

Byron Newberryمشاهده پروفایل

استاد

• Engineering Ethics
• Philosophy of Engineering
• Philosophy of Technology
• +۵ مورد دیگر

Byron Newberry is a Professor in the Department of Mechanical Engineering at Baylor University's College of Engineering. He holds a PhD in Engineering Mechanics from Iowa State University and has a strong academic background in aerospace engineering. His research focuses on the philosophical and ethical dimensions of engineering, including engineering ethics , the philosophy of engineering and technology , and the theory and practice of engineering education . His work bridges technical engineering disciplines with humanistic inquiry. His recent publications reveal a consistent engagement with interdisciplinary themes—particularly the role of values in engineering practice, the nature of engineering identity, and global perspectives on engineering education. These works are often published in the Springer Philosophy of Engineering and Technology series, indicating a high level of scholarly contribution. Dr. Newberry has made significant editorial contributions to the field, co-editing key volumes that explore engineering identities, epistemologies, and educational practices in global contexts. He teaches foundational courses such as Statics, Strength of Materials, and Machine Design, as well as specialized courses in engineering ethics, social issues in engineering, and sustainable engineering. He is actively affiliated with Baylor University, with a listed office, phone number, and email, confirming his current active status. No awards or student advisement details are provided in the text.

Madeline Taylorمشاهده پروفایل

مدرس

• Costume Practice
• Fashion Design
• Emotional Intelligence in Design Collaboration
• +۹ مورد دیگر

Dr Madeline Taylor is a Lecturer in Fashion at the School of Design, Faculty of Creative Industries, Education & Social Justice, Queensland University of Technology (QUT). She holds a PhD from the University of Melbourne and has over a decade of teaching experience across QUT, the University of Melbourne, and the University of the Arts London. She is a co-director of The Stitchery Collective and is currently undertaking a prestigious Marie Curie-Sklodowska Postdoctoral Fellowship at Aalto University, Finland. Her research is affiliated with QUT’s Design Lab and TextileR: Future Textile Industries. Doctor of Philosophy (University of Melbourne) Bachelors Honours (Queensland University of Technology) Dr Taylor’s research focuses on uncovering hidden potentials in creative practices, particularly in contemporary costume and fashion. Her work explores emotional intelligence in collaborative design, the social and sustainability benefits of digital gift economies, linguistic ethnography as a research methodology, and critical fashion practices. She is deeply engaged in issues of circularity, sustainability, and community wellbeing within the fashion and performance industries. Her recent publications span topics such as costume production, emotional labour, secondhand clothing, digital gift economies, and costume pedagogy. These works reflect a strong trend toward interdisciplinary research that bridges design, sociology, performance, and environmental sustainability, often emphasizing grassroots initiatives and human-centered approaches. Marie Curie-Sklodowska Postdoctoral Fellowship (2024) QS Reimagine Education Global Education Award (2021) Vice Chancellor's Award for Excellence - Student Learning (2021) Creative to Go grant ($20,000) (2021) Veronica Kelly Prize - Honourable Mention (2018) Vice-Chancellors Award for Excellence - Partnerships and Engagement (2013) Dr Taylor is actively involved in research supervision, currently accepting Honours, Masters, and PhD students, particularly in projects related to hyperlocal gift economies and secondhand clothing. She has been instrumental in developing innovative transdisciplinary units like the Impact Labs, which connect students with real-world community and industry challenges. Her grants include a $20,000 Creative to Go grant for a remote artist residency project. She is a key member of the Design Lab and contributes to the TextileR: Future Textile Industries research network, fostering interdisciplinary collaboration and innovation in textile and fashion research.

Fabian Gaesslerمشاهده پروفایل

استادیار

• Innovation Economics
• Economics of Science
• Empirical Industrial Organization
• +۸ مورد دیگر

Fabian Gaessler is an Assistant Professor at the Universitat Pompeu Fabra (Department of Economics and Business) and an Affiliated Research Fellow at the Max Planck Institute for Innovation and Competition since 2022. He also serves as an Affiliated Professor at the Barcelona School of Economics and previously held academic roles at IESE Business School (2019) and Technical University of Munich (2018–2019). Education: Doctoral Studies (2013–2015) at Max Planck Institute for Innovation and Competition Postgraduate Law and Economics (2010–2013) at International Max Planck Research School M.Sc. in Organization, Management and Governance (2009–2010) at London School of Economics Honors Degree in Technology Management (2008–2011) at Center for Digital Technology and Management, Munich B.Sc. in Business Administration (2005–2009) at LMU Munich and University of California, Santa Barbara Research Interests focus on innovation economics , patent policy , and AI applications in strategic decision-making . His work bridges empirical industrial organization and technology management , with key contributions on patent enforcement, data exclusivity, and human-AI collaboration in innovation. Key Article Trends include: Patent oppositions and follow-on innovation AI as a training tool in strategic environments Market exclusivity impacts on pharmaceutical R&D Physical capital shocks in scientific productivity Bifurcated patent litigation systems Scientific quality and patent value linkages Scientific Awards : 2017: Otto Hahn Medal of the Max Planck Society Advising and Grants : While direct student advisement is not explicitly listed, Gaessler has collaborated extensively with scholars like Dietmar Harhoff, Karin Hoisl, and Henning Piezunka. His research has been supported by institutions including the Max Planck Society, European Commission, and ZEW. Labs and Teams : Affiliated with the Innovation and Entrepreneurship Research group at Max Planck Institute for Innovation and Competition. His work involves cross-institutional collaborations with European patent litigation experts and biomedical research teams.

• Developmental Psychology
• Language Acquisition
• Cognitive Neuroscience
• +۵ مورد دیگر

Claudia Friedrich is a Professor of Developmental Psychology at the University of Tübingen, Faculty of Mathematics and Natural Sciences, Department of Psychology, where she has held her position since April 2013. Her research focuses on the cognitive processes underlying language development in children, with particular emphasis on speech processing, word recognition, and the acquisition of linguistic structures. Her educational background includes a doctorate in Psychology from the University of Leipzig (2003) and undergraduate studies in Psychology at the Technical University of Berlin (1993-1999). Professor Friedrich's research examines how children process speech sounds, word stress patterns, and develop the ability to understand language in context. Her work investigates cognitive and neural mechanisms involved in language acquisition across different age groups, with special attention to how first and second language learners process linguistic information. Through eye-tracking, ERP, and behavioral experiments, her research explores how children develop the ability to take perspectives during communication, process prosodic features of speech, and build lexical representations. She has made significant contributions to understanding how literacy acquisition shapes speech processing and how cross-modal influences affect language development. Her recent publications reveal a consistent focus on developmental trajectories in language processing, with increasing attention to cross-linguistic comparisons and multimodal aspects of language acquisition. The research demonstrates sophisticated methodological approaches combining behavioral, eye-tracking, and neurophysiological measures to investigate language processing from infancy through childhood. Professor Friedrich leads several major research projects including Project A6 "The Development of Common Ground in First and Second Language Acquisition" (2025-2029), a DFG-funded project on "Stress processing at the word level in children with different language backgrounds" (2024-2027), and previously led Project B1 on modal and amodal cognition (2020-2023). Her research has been consistently supported by prestigious funding bodies including the European Research Council (ERC) and the German Research Foundation (DFG). She heads the Developmental Psychology workspace at the University of Tübingen, where her research group investigates cognitive prerequisites for perspective-taking in language comprehension and the influence of perspective taking during language processing through memory experiments and eye movement studies.

Arkadiusz Jabłońskiمشاهده پروفایل

استاد

• Sociology of Knowledge
• Social Theory
• Epistemology
• +۳ مورد دیگر

Arkadiusz Jabłoński is a Professor at the Faculty of Social Sciences, Catholic University of Lublin (KUL), currently serving as its Dean. He holds two MA degrees in Theology and Polish Philology, a PhD in Social Sciences (1994), and a habilitation in Sociology (2007). His research focuses on the theoretical and empirical dimensions of knowledge society , with a strong emphasis on Karl Popper's social theory and Stanisław Kowalczyk's philosophical legacy . Education: MA in Theology and Polish Philology, PhD in Social Sciences (1994), Habilitation in Sociology (2007) His recent publications analyze knowledge ethics , discursive controversies , and epistemological structures in modern societies. Key themes include: Knowledge-Society Interactions Epistemological Critique Personalist Social Theory Visual vs. Verbal Knowledge Popperian Open Society Postmodern Identity Fragmentation He actively participates in academic organization: Vice-Chair of NSZZ 'Solidarność' Academic Commission Co-Organizer of 'Studia nad Wiedzą' international conferences Co-Editor of the 'Studia nad Wiedzą' book series His work bridges philosophical sociology with practical knowledge analysis , addressing topics like public sphere formation , moral epistemology , and critical theory applications .

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +۴ مورد دیگر

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.

• Machine Learning
• Atmospheric Science
• Remote Sensing
• +۳ مورد دیگر

Tao Shi serves as an Assistant Professor in the Department of Statistics at Ohio State University. Dr. Shi completed doctoral studies at the University of California, Berkeley, receiving a Ph.D. in Statistics in 2005. Dr. Shi's academic foundation was established through doctoral research conducted under Professor Bin Yu at UC Berkeley. The dissertation, titled Polar Cloud Detection using Satellite Data with Analysis and Application of Kernel Learning Algorithms , represents a significant interdisciplinary contribution at the intersection of statistical methodology and environmental science. Primary Research Focus: Application of machine learning techniques to environmental satellite data Specialization: Polar region cloud identification systems Technical Expertise: Kernel-based algorithms for complex atmospheric pattern recognition Domain Knowledge: Integration of statistical learning with climate observation systems With two decades of post-PhD experience, Dr. Shi's research program demonstrates how advanced statistical methods can address critical challenges in climate monitoring and atmospheric science. The work bridges theoretical machine learning with practical environmental applications, particularly in analyzing satellite imagery of polar regions.