جستجوی استاد راهنمای دانشگاهی

Zhou Zhi-Hua is a Professor at Nanjing University's Department of Computer Science & Technology, serving as Standing Deputy Director of the National Key Lab for Novel Software Technology and Founding Director of LAMDA (Institute of Machine Learning and Data Mining). He holds simultaneous fellowships from ACM, AAAI, AAAS, IEEE, IAPR, IET/IEE, and CCF, reflecting his exceptional contributions to computational intelligence. His educational background includes: B.Sc. in Computer Science from Nanjing University (1996) M.Sc. in Computer Science from Nanjing University (1998) Ph.D. in Computer Science from Nanjing University (2000) Zhou's research pioneers fundamental advances in machine learning theory and applications. His seminal work on ensemble methods established new frameworks for classifier combination, while innovations in multi-label learning and anomaly detection addressed critical challenges in complex data analysis. His research bridges theoretical rigor with practical implementations across diverse domains including biometrics, data mining, and computer vision, resulting in over 150 publications and 18 patents. His textbooks "Ensemble Methods" (2012) and "Machine Learning" (2016) have become standard references in the field. Analysis of his publication trajectory reveals sustained leadership in core machine learning challenges: evolving from neural network ensembles (2002) through semi-supervised learning breakthroughs (2005) to foundational work on multi-instance learning (2012) and theoretical margin analysis (2013). His recent focus demonstrates increasing sophistication in handling complex data structures while maintaining theoretical soundness. His scientific excellence is recognized through: National Natural Science Award of China (2013) PAKDD Distinguished Contribution Award (2016) IEEE ICDM Outstanding Service Award (2016) IEEE CIS Outstanding Early Career Award (2013) Microsoft Professorship Award (2006) Simultaneous fellowships from 7 major international societies Zhou provides extraordinary service to the academic community as Executive Editor-in-Chief of Frontiers of Computer Science and Associate Editor-in-Chief of Science China Information Science. He founded the ACML conference and has chaired premier events including ICDM'16 and PAKDD'14. His leadership extends to serving as General Chair for ICDM'16, Program Chair for IJCAI'15 Machine Learning Track, and Area Chair for multiple top conferences. The available text does not specify student advising details or research grants. He directs LAMDA research group at Nanjing University, which has established itself as a global powerhouse in machine learning research, and contributes significantly to the National Key Lab for Novel Software Technology's mission of developing next-generation intelligent systems.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Wolfgang Bösch is a Professor at Graz University of Technology's Institute of Microwave and Photonic Engineering, specializing in advanced RF components and measurement techniques. His research advances high-frequency systems through innovations in antenna technology and electromagnetic theory. Research domains include: metamaterial-based antennas, precision measurement calibration, microwave filter optimization, and 3D-printed RF components. Recent work demonstrates strong focus on millimeter-wave systems and reconfigurable antenna arrays. Publications highlight expertise in: machine learning for filter design, metasurface applications, PCB transitions for high-frequency systems, and uncertainty quantification in RF engineering. Research consistently addresses miniaturization and performance optimization challenges. Awards recognize contributions to measurement science and antenna design: Fellow of IET, Houska Prize, and best paper awards. Current laboratories investigate liquid crystal antenna systems and error calibration methodologies for next-generation wireless systems.

• Antenna Design
• Microwave Engineering
• Dielectric Materials
• +۲ مورد دیگر

Patrick Sakdapolrak is a Professor of Population Geography and Demography at the University of Vienna's Department of Geography and Regional Research, within the Faculty of Earth Sciences, Geography and Astronomy. He serves as Head of the Working Group on Population Geography and Demography and Vice-Director of Doctoral Studies (SPL 45). His research focuses on the interplay of population dynamics, environmental change, and development, particularly migration and health in vulnerable contexts. He holds a Ph.D. from the University of Bonn, with earlier studies at Heidelberg University and the University of Wollongong. Research Interests: Conceptual: Vulnerability, resilience, livelihoods, translocality, Bourdieu's practice theory Thematic: Human-environment relations, migration, health Regional: South Asia (India), Southeast Asia (Thailand), East Africa (Kenya) Current Projects include the HABITABLE initiative exploring climate change and social tipping points. His work emphasizes translocal social resilience and migration as adaptation strategies. Recent publications address climate migration, habitability, and translocal networks' role in innovation and adaptation. He actively engages in policy-relevant research and global collaborations.

• Population Geography
• Environmental Change
• Migration Studies
• +۵ مورد دیگر

Robert Peharz is an Assistant Professor at Graz University of Technology, where he leads research at the Institute of Machine Learning and Neural Computation. His work focuses on probabilistic machine learning, with particular emphasis on tractable probabilistic models, causality, and neurosymbolic AI. Education and Career PhD from TU Graz (Austria) in 2015 Postdoc at Medical University of Graz Postdoc and Marie-Curie Individual Fellow at University of Cambridge (2017-2019) Assistant Professor at Eindhoven University of Technology (2019-2021) Current: Assistant Professor at Graz University of Technology Research Interests Peharz's research spans multiple areas of artificial intelligence with a focus on making probabilistic reasoning both theoretically sound and practically efficient. His work addresses fundamental challenges in tractable probabilistic inference and learning, probabilistic circuits as a unified framework for deep generative models, Bayesian causal inference, and neurosymbolic AI combining sub-symbolic and symbolic approaches. His research has applications in cybersecurity, healthcare, and energy systems. Research Projects VENTUS (2024-present): Physics-informed, probabilistic and causal machine learning for wind energy systems NEO DNA (2023-present): DNA-based data storage systems using computer vision and probabilistic ML VanillaFlow (2023-present): AI-guided development of novel vanillin-based molecules for redox flow batteries Bilateral AI : Cluster of Excellence focused on Broad AI combining sub-symbolic and symbolic AI approaches Awards and Recognition Finalist for TUG's Excellent Teaching Award (2023) for all 3 of his courses Marie-Curie Individual Fellow at University of Cambridge Academic Service Peharz is actively involved in the academic community through conference organization and reviewing: Area Chair: UAI (2022), ECML/PKDD (2022) Senior Committee Member: UAI (2021), IJCAI (2019, 2020) Reviewer for major conferences including ICML, NeurIPS, AAAI, IJCAI-ECAI Teaching and Mentorship Peharz supervises multiple PhD students working on diverse projects at the intersection of machine learning, causality, and neurosymbolic AI. His current advisees include Sepideh Adamiat, Irina Dobrianski, Johannes Exenberger, Giacomo Di Gobbi, Tim d'Hondt, Christian Toth, and Thomas Wedenig. Previous students include Alvaro Correia, Martin Trapp, and David Montalvan.

• Probabilistic Machine Learning
• Tractable Probabilistic Models
• Artificial Intelligence
• +۶ مورد دیگر

Gerd Grupe serves as Professor of Ethnomusicology and Vice Rector for Research at the University of Music and Performing Arts Graz (KUG), where he has held his faculty position since 2002. His academic career spans multiple institutions including Free University Berlin, Frankfurt am Main, Hildesheim, Bayreuth, and Krems. His educational background includes doctorate in Comparative Musicology (1990, FU Berlin) with dissertation on Afro-Jamaican Kumina music, and habilitation (1996) on Shona music published as The Art of Mbira Playing (2004). His research spans sub-Saharan African music , African-American traditions , Central Javanese gamelan , and cross-cultural comparative studies , with fieldwork in Jamaica, Zimbabwe, and India. His scholarly output reveals consistent focus on traditional African musical systems (particularly Shona mbira and Jamaican Kumina), notation challenges in oral traditions , and pedagogical approaches to non-Western music . The article corpus demonstrates progression from specific case studies (Kumina, 1990s) toward broader theoretical frameworks (2000s) examining cognitive dimensions, performance practices, and cross-cultural learning methodologies. As academic leadership, he established KUG's Central Javanese Gamelan ensemble (2004) for research and teaching, and co-edits the Translingual Discourse in Ethnomusicology journal while editing Grazer Beiträge zur Ethnomusicologie . His work bridges performance practice, cognitive analysis, and cultural context with emphasis on learning through performance methodology.

• Ethnomusicology
• African Music
• Afro-Caribbean Music
• +۵ مورد دیگر

Leonhard Dobusch is a full Professor of Business Administration with a focus on Organization at the University of Innsbruck's Faculty of Business and Management, specifically within the Institute for Organisation and Learning. He has held this position since February 2016, after serving as a Junior Professor at Freie Universität Berlin from 2012-2016. Professor Dobusch maintains active international collaborations with researchers at institutions including ETH Zurich, University of Oxford, University of Zurich, and University of Duisburg-Essen. University of Innsbruck: Professor of Business Administration (since 2016) Freie Universität Berlin: Junior Professor of Management (2012-2016) Freie Universität Berlin: Postdoc at Chair for Inter-Organizational Cooperation (2009-2012) Stanford Law School: Research Fellow at Center for Internet & Society (2008) Max Planck Institute for Social Research: Postdoc Fellow (2008-2009) Professor Dobusch's research centers on three interconnected areas that challenge conventional organizational thinking. His work on organizational openness examines how principles like open source software, open science, and open innovation manifest in practice, revealing how formal openness often leads to unintended exclusion. His second research stream investigates alternatives to intellectual property rights in regulatory uncertain environments, particularly in pharmaceutical innovation where he studies approaches to vaccine development beyond traditional patent systems. Thirdly, he develops the concept of 'organisationality' to redefine how we understand organization in increasingly fluid social systems. His research has significant implications for companies, public administrations, and scientific institutions navigating the challenges of openness, regulatory uncertainty, and new organizational forms in the digital age. Professor Dobusch's publication record demonstrates consistent high-impact contributions to organizational studies, with articles appearing in top journals including Organization Studies, Journal of Management Studies, and Long Range Planning. His work shows a clear trajectory from studying open source software adoption in city administrations (his doctoral research) to broader questions about organizational forms, openness, and intellectual property in complex systems. 2025: Best Reviewer Award of the Journal Organization Theory 2025: Prof of the Year Award in Rhetoric and Didactics 2022: Best Paper Award of the Strategy Practice Interest Group 2020: Ideas Worth Teaching Award by Aspen Institute for 'Organizing in Times of Crisis' 2020: LehrePlus!-Preis der Universität Innsbruck 2016: LehrePlus!-Preis for 'Open Organizations and Organizing Openness' course Professor Dobusch actively integrates his research into teaching, exemplified by his award-winning wiki-based course 'Open Organizations and Organizing Openness' and the collaborative online course series 'Organizing in Times of Crisis', which received international recognition. He currently leads a three-year DFG/FWF-funded research project 'Organising Creativity under Regulatory Uncertainty: Alternative Approaches to Intellectual Property' with Professor Sigrid Quack. Within professional networks, he serves as Chair of the Executive Board of the Interest Group 'Strategizing Activities and Practices' at the Academy of Management and regularly leads sub-themes at the European Group of Organization Studies Colloquium on Organizational Openness. Professor Dobusch contributes to several research communities through his blogs 'osconjunction.net' and 'governancexborders.com', and participates in the Momentum-Kongress that connects academic research with social and political practice. His work bridges theoretical innovation with practical relevance, particularly in how organizations can navigate the tensions between openness and closure, formal regulation and creative adaptation.

• Organizational Openness
• Open Strategy
• Intellectual Property Rights
• +۶ مورد دیگر

Johanna Ullrich is a Professor at the University of Vienna's Faculty of Computer Science and a Key Researcher at SBA Research in Vienna. She leads the Research Group Communication Technologies and serves as Head of the Networks and Critical Infrastructures Security Group at SBA Research. Her academic journey includes positions as Principal Investigator & Manager of Third Party Funded Projects at the University of Vienna and Post-Doctoral Researcher at the Christian Doppler Laboratory for Security and Quality Improvement in the Production System Lifecycle. Her educational background includes a PhD sub auspiciis praesidentis in Computer Science from TU Wien (2013-2016), an MSc in Automation Engineering from TU Wien (2010-2013), and a BSc in Electrical Engineering from TU Wien (2007-2010). She also holds a Venia Docendi for Computer Engineering from the University of Vienna. Ullrich's research focuses on the intersection of computer science and classical engineering, with particular emphasis on network security, IPv6 measurement experiments, and critical infrastructure protection. Her groundbreaking work demonstrated vulnerabilities in the IPv6 Privacy Extension that led to modifications in major client operating systems, protecting millions of users. She is renowned for her research on cyber-physical attacks against power grids, showing how coordinated load attacks can destabilize electrical infrastructure. Her work spans both theoretical security frameworks and practical implementations with significant real-world impact. Her publication record reveals a consistent trajectory from fundamental network security research toward increasingly complex interdisciplinary investigations at the boundary of computer science and physical infrastructure. Recent work emphasizes AI/ML applications for network security, power grid resilience, and socio-technical approaches to cybersecurity. Her research demonstrates a progression from protocol-level security (IPv6) to system-level security (cloud, IoT) and now to infrastructure-level security (power grids, critical national infrastructure). 2nd in the Faculty of Computer Science's Best-of-the-Best Ranking 2024 Category Third Party Funding Nomination for the Hedy Lamarr Prize 2019 and 2020 Scholarship of Excellence 2018 Research Prize of the Dr. Maria Schaumayer Foundation 2018 Promotio Sub Auspiciis Praesidentis 2017 Diploma Thesis Award of the City of Vienna 2013 Ullrich actively contributes to the academic community through extensive grant acquisition and service. She has secured numerous research projects including SPyCoDe (Semantic and Cryptographic Foundations of Security and Privacy by Compositional Design), DynAISEC (Adaptive AI/ML for Dynamic Cybersecurity Systems), and Q-Crit (Quantum-Safe Critical Infrastructure for Austria). Her leadership extends to committee roles including Program Committee Member of IEEE Symposium on Security and Privacy (S&P) 2024 and Technical Program Chair of Network Traffic Measurement and Analysis Conference (TMA) 2023. At SBA Research, she leads the Networks and Critical Infrastructures Security Group, which investigates security challenges at the intersection of digital networks and physical infrastructure. The group conducts both theoretical research on security frameworks and practical measurements of real-world systems. Their work combines network measurement techniques with power systems engineering to develop comprehensive security approaches for critical infrastructure.

• Network Security
• Critical Infrastructure Security
• IPv6 Security
• +۴ مورد دیگر

Dr. Chibundu Ngozi Ezekiel is a Senior Researcher at the Institute of Bioanalytics and Agro-Metabolomics within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). Previously, he served as Professor and Associate Professor of Food Microbiology and Mycotoxicology at Babcock University, Nigeria (2018-2022) and held roles at the Food and Agriculture Organization of the United Nations. Education: Ph.D. in Mycology/Mycotoxicology (University of Ibadan, 2009-2013), M.Sc. in Microbiology (University of Ibadan, 2005-2007), B.Sc. in Microbiology with First Class Honours (Babcock University, 2000-2004) Research Interests: Focus on mycotoxin contamination in food systems, microbiome interactions in agricultural products, and food safety in sub-Saharan Africa. Key areas include dietary exposure assessment, probiotic applications for toxin reduction, and molecular characterization of fungal communities. Recent Research Trends: His 15 most recent publications (2024-2025) span mycotoxin biomonitoring in infants, probiotic strain genomics, cereal contamination analysis, and microbiome-exposome interactions. Studies emphasize analytical methodologies (LC-MS/MS, MALDI-TOF), global health implications, and risk assessment frameworks. Scientific Awards & Fellowships Brigitte Gedek Science Award for Mycotoxin Research (2023) Top 50 Food Safety Expert Globally (2023) No. 2 Food Safety Expert in Africa (2021-2023) EU MycoRed Fellowship (2010) Babcock University First Class Graduate Assistantship (2005) Academic Service: Editorial Board Member for Mycotoxin Research (2023), Associate Editor for Frontiers in Sustainable Food Systems (2019), and reviewer for 20+ journals including Food Control , Environment International , and World Mycotoxin Journal . Active in EU-China-Safe and FoodSafeR advisory boards.

• Mycotoxicology
• Food Safety
• Microbiome Research
• +۳ مورد دیگر

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +۶ مورد دیگر

Vikas Remesh is a Researcher in the Department of Experimental Physics at the University of Innsbruck, Austria, actively contributing to quantum optics and quantum information science. His work focuses on quantum emitters, particularly semiconductor quantum dots, for developing advanced quantum light sources and control techniques essential for quantum computing and secure communication. His research centers on manipulating quantum states in solid-state systems, with emphasis on chirped-pulse control, dark-state engineering, and high-dimensional entanglement. Key innovations include the SUPER excitation scheme for collective state preparation and methods for high-purity single-photon generation in 2D materials like WSe 2 . His approaches bridge theoretical models with experimental implementations to overcome coherence and stability challenges in quantum photonics. Analysis of his 15 most recent publications (2022-2025) reveals a dominant focus on quantum dot control mechanisms, particularly using chirped pulses and magnetic fields for adiabatic rapid passage. Recurring themes include single-photon source optimization for quantum cryptography, photon-number-encoded entanglement, and spectral engineering of quantum emitters. His work consistently targets practical quantum technology applications while addressing fundamental coherence limitations. No scientific awards or fellowships were documented in available sources. His research is conducted within the quantum optics group led by Univ.-Prof. Hanns-Christoph Nägerl, likely supported by institutional and national funding frameworks typical for European quantum research initiatives. Remesh operates within the University of Innsbruck's Department of Experimental Physics, part of Austria's leading quantum research ecosystem. His work intersects with the institution's strengths in ultracold atoms and quantum simulation, contributing to experimental platforms for quantum information processing and quantum communication protocols.

• Quantum Optics
• Quantum Information
• Solid-State Quantum Emitters
• +۲ مورد دیگر

Anton Tantner is a historian and Privatdozent (senior lecturer with habilitation) at the Institute of History, University of Vienna. His research deciphers the cultural and political dimensions of everyday ordering technologies—house numbers, street addresses, census lists, urban fortifications and the Danube Canal—linking micro-historical detail to macro-historical change in Europe from the 16th century to the present. An energetic public scholar, he curates thematic city walks, lectures widely in adult education, and publishes across academic and popular media. Education & Academic Status: Mag. phil., University of Vienna Dr. phil., University of Vienna Privatdozent (habilitated lecturer), Institute of History, University of Vienna Research Interests: Tantner explores how seemingly banal tools—numbers on doors, address registers, early statistical tables—became instruments of statecraft, surveillance and social discipline. His regional focus on Vienna and the Marchfeld reveals global patterns: the spread of house-numbering from Habsburg military recruitment to European colonies, or the transformation of the Danube Canal from workers’ “lido” to contested investment frontier. Recent Publications & Trends: Between 2020-2024 he produced a steady stream of articles and books on numbering, urban micro-history and environmental storytelling. Recurring themes include the egalitarian yet controlling impulse of serial numbers, the memorial afterlives of revolutionary dead, and the hidden histories of Viennese wastelands and sand-dunes. Public Engagement & Awards: Organiser of the 2021 conference “250 Years of House Numbering in the Habsburg Monarchy” Frequent contributor to Wiener Zeitung , Tagebuch , Versorgerin , Jacobin and public radio Designer of numbered T-shirts merging scholarly research with wearable urban stories Teaching & Grants: He currently teaches courses on historical methodology, source criticism, and thematic seminars on Maria-Theresian Vienna and the ordering practices of numbers, cabinets and tables. Details of specific grants are not disclosed in the sources. Labs & Networks: Tantner co-operates with the Labor Alltagskultur (Laboratory of Everyday Culture) for public walks and digital excursions, and is an active member of Vienna’s adult-education and museum networks.

• Early-Modern and Modern European History
• Urban History
• Cultural Techniques of Numbering and Addressing
• +۳ مورد دیگر

Gregor Weihs is Vice-Rector for Research at the University of Innsbruck, holding a full professorship in Photonics at the Institute for Experimental Physics. He directs the Cluster of Excellence Quantum Science Austria and previously served as Austrian Science Fund (FWF) Vice-President and interim President. His academic journey includes roles at Stanford University, the University of Tokyo, and the University of Waterloo, where he held a Canada Research Chair in Quantum Photonics. Education: MSc (1994, University of Innsbruck), PhD (2000, University of Vienna) awarded 'sub auspiciis praesidentis.' He completed habilitation in Experimental Physics in 2005 at the University of Vienna. Research focuses on quantum photonics, semiconductor optics, and foundational quantum mechanics. Key projects include entangled photon pair generation from nonlinear waveguides, quantum dots, and semiconductor microcavities. He explores quantum communication, many-body interference, and hypercomplex quantum mechanics testing. Awards: Wilhelm Exner Medal, ERC Starting Grant, Canada Research Chair Leadership: Department Head of Experimental Physics (2013–2021), Faculty Council Chair, IQOQI Events Director His work bridges theory and experiment, with contributions to integrated quantum devices and precision tests of quantum foundations.

• Quantum Photonics
• Quantum Information
• Semiconductor Optics
• +۳ مورد دیگر

Prof. Charles Agyemang serves as Professor of Global Migration, Ethnicity and Health at Amsterdam University Medical Centers, University of Amsterdam, and holds an Adjunct Professorship at Johns Hopkins University School of Medicine. His academic leadership spans European and African health research initiatives with focus on migrant populations. His educational background includes a PhD from Erasmus Medical Centre (University of Rotterdam) and a Master's degree from Edinburgh University Medical School. These qualifications established his foundation in population health research. Research interests center on ethnic health inequalities and non-communicable diseases (NCDs) among migrant communities, particularly African populations. His work examines how migration affects obesity, diabetes, and cardiovascular diseases through genetic-environmental interactions. He pioneered the landmark RODAM study across Ghana, Netherlands, Germany, and UK, later expanding it into the prospective RODAM-Pros cohort with ERC funding. His research integrates epigenetics, public health policy, and community engagement to address health disparities. His recent publications (2019-2022) reveal consistent focus on migrant health disparities with emphasis on diabetes mechanisms, obesity epidemiology, and epigenetic markers. Key themes include cardiovascular risk in African populations, uric acid metabolism, and social determinants of health during pandemics. His work predominantly employs large-scale cohort studies with international collaborations across Europe, Africa, and North America. Notable scientific recognition includes: Black Achievement Award for Science & Education in the Netherlands (2022) European Research Council Consolidation Fellowship (2018) Amsterdam Bible College Ward-medal for migrant community service (2016) Netherlands Organisation for Scientific Research VENI Fellowship (2007) Prof. Agyemang has mentored numerous students across Europe and Africa and established training programs including the Art of Scientific Writing summer school in Ghana. His major grants include European Commission FP7 funding for RODAM and an ERC Consolidation Grant for RODAM-Pros. He serves on WHO taskforces, The Lancet Racial Equality Advisory Board, and as Section Editor for the Journal of American Heart Association. He leads the RODAM research consortium and co-founded the community initiative 'Your Health Is Your Wealth' with the Pentecostal Council of Churches in the Netherlands, providing health education to migrant communities. His laboratory work focuses on epigenetic mechanisms in cardiometabolic diseases among African migrants through the RODAM-Pros cohort study.

• Migrant Health
• Public Health
• Ethnic Minority Health
• +۳ مورد دیگر

Harald Pretl is a Professor at the Department of Integrated Circuits within the Institute for Integrated Circuits and Quantum Computing at Johannes Kepler University Linz (JKU). Holding the title Univ.-Prof., he maintains active research leadership with current projects extending through 2029 and 107 documented research outputs including patents, articles, and conference proceedings. His research spans integrated circuits, quantum computing, mm-wave transmission, biomedical sensing, and open-source EDA tools. He specializes in high-frequency circuit design, ultra-low-power biomedical sensors, and educational applications of open-source design methodologies for analog/mixed-signal IC development. Recent work demonstrates cross-disciplinary innovation bridging engineering, neuroscience, and artistic expression. Recent publications reveal strong emphasis on practical implementation challenges: THz transmitter efficiency, brain-computer interface applications, ADC performance metrics, and open-source layout automation. These works collectively advance wireless communication systems, biomedical instrumentation, and accessible semiconductor design education through open-toolchain development. Prof. Pretl has supervised 3 students and actively promotes open-source EDA adoption through educational initiatives. His funded projects include Sub-blocks generators for NSSAR ADC (2025-2029), Open Parasitic Extraction for KLayout, and United Micro Technology collaborations, demonstrating sustained industry engagement. He co-leads the JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab) and contributes to the High-Performance Integrated Quantum Computing project. Current activities include 42 documented presentations such as 'Using Open-Source EDA Tools in Hands-On IC Design Education' (2025) and 'Recent Developments in Ultra-Low-Power Biomedical Sensing' (2025), reflecting his dual focus on research innovation and pedagogical advancement.

• Integrated Circuits
• Quantum Computing
• mm-Wave Transmission
• +۳ مورد دیگر

Michael Leitner is a part-time Professor at the Department of Geoinformatics (Z_GIS) within the Faculty of Digital and Analytical Sciences at the University of Salzburg. His work bridges geospatial technology with interdisciplinary applications in criminology and health geography. Research Focus: Geographic Information Systems (GIS), spatial analysis/modeling/mapping of crime and health geographies. Current Projects: Spatiotemporal crime forecasting, geospatial privacy, and fine-scale data collection using video geonarratives and physiological measurements. Interdisciplinary Reach: Collaborative studies in biology, chemistry, and urban studies demonstrate his cross-domain impact. His recent publications highlight trends in crime modeling , health geography , and molecular biology , with keywords spanning Geography , Criminology , Biology , and Physics . Sub-fields include Crime Forecasting , Vector-Borne Diseases , and Urban Safety .

• Geospatial Technology
• Geographic Information Systems (GIS)
• Spatial Analysis
• +۲ مورد دیگر