جستجوی استاد راهنمای دانشگاهی

Shlomo Geva is an Adjunct Professor in the School of Computer Science at Queensland University of Technology's Faculty of Science. His research focuses on information retrieval systems, particularly in specialized areas including XML search engines, text search engines, link discovery, and document computing. His academic work spans multiple disciplines within computer science, with particular emphasis on information retrieval technologies and their applications. Professor Geva's research interests include clustering algorithms, cross language information retrieval, focused information retrieval, information retrieval systems, link discovery mechanisms, search engine technologies, text indexing and retrieval methods, and XML indexing and retrieval techniques. His work demonstrates a consistent focus on improving the efficiency and effectiveness of information access systems across various data formats and domains. His recent publications reveal a trend toward applications of information retrieval techniques in diverse fields including remote sensing, bioinformatics, and data stream processing. The research shows an evolution from traditional information retrieval problems toward more specialized applications requiring advanced clustering algorithms and efficient data processing techniques for large-scale datasets. Professor Geva has successfully supervised numerous doctoral students whose research topics include indoor environment mapping by robots, cross-language information retrieval, natural language query interfaces for XML, evolvable hardware, and autonomous robot behavior systems.

• Information Retrieval
• XML Search Engines
• Text Search Engines
• +۸ مورد دیگر

Jason Hockman is a Reader in Music and Sound Design at the School of Digital Arts (SODA) at Manchester Metropolitan University . He is a leading researcher in Music Information Retrieval (MIR) , computational audio analysis, and music production technologies. He is also a professional music producer and performer under the aliases Jason oS and DAAT , and co-founder of Detuned Transmissions , an artist collective and independent record label. Research Interests: Computational analysis and generation of audio for music production Ethnographies of breakbeat-oriented UK dance music Neural audio synthesis and adversarial networks Automatic drum transcription and onset detection Gesture-based music interaction systems Interactive audio for games and multimedia Publications Trends: His recent work focuses on generative audio models , including GAN-based drum synthesis, neural impact sound synthesis, and latent space exploration for audio. He has also contributed extensively to automatic transcription systems for percussion and string instruments, and interactive performance tools that integrate gesture control and real-time audio manipulation. Scientific Contributions: Co-author of the widely cited Review of Automatic Drum Transcription (2018) Developer of interactive systems like MyoSpat for gesture-based control Pioneer in combining ethnographic research with computational music analysis Teaching & Supervision: Jason integrates his research and music production experience into undergraduate and postgraduate teaching. He supervises students in music technology, sound design, and MIR, and emphasizes a holistic approach that bridges creative practice and academic inquiry. Creative Practice: Through Detuned Transmissions , he releases and distributes electronic music internationally, maintaining an active presence in both academic and artistic communities.

• Music Information Retrieval
• Computational Audio Analysis
• Music Production
• +۷ مورد دیگر

Patrick ODonnell is a Lecturer at the University of the Highlands and Islands (UHI) , based at the Perth campus within the School of Engineering, Science and Technology . He is actively engaged in research and currently accepts PhD students, indicating an ongoing academic role. His work is deeply rooted in educational research, particularly in the Scottish further and higher education sectors. Research Interests: Dr. ODonnell's expertise spans Higher Education Reform , Further Education Policy , Student Transitions , Lived Experience of Learners , Medical Education , and the evolving role of Academic Libraries . His research often explores how educational systems can better support learners, especially those transitioning from further to higher education, and how institutions can foster research communities. The recent publication trends indicate a strong focus on qualitative studies in medical and educational contexts, with increasing attention to collaboration, institutional restructuring, and scholarship in Scottish colleges. His work contributes to broader discussions on educational equity, policy development, and academic practice. Collaborations and Contributions: Collaborates with scholars such as H. Sutcliffe, J. Andrews, C. Calder, and L. Anderson. Active in practitioner research and policy-oriented studies in Scottish education. Contributes to academic discourse through peer-reviewed articles, book chapters, and commissioned reports. Scientific Engagement: ORCID: 0000-0002-7874-0506 Publications indexed in Scopus and Pure, with growing citation impact (h-index: 1). Work aligns with UN Sustainable Development Goals, particularly in education and institutional reform. Advising and Grants: While specific students or funded grants are not listed, Dr. ODonnell accepts PhD students and has led or contributed to commissioned reports and research outputs that suggest involvement in funded or policy-driven projects. His work with the College Development Network and Scottish educational bodies indicates active participation in national educational initiatives. Labs and Teams: Though no formal lab is mentioned, Dr. ODonnell is part of a research network focused on further and higher education in Scotland. He contributes to collaborative projects that examine educational transitions, policy reform, and academic support structures, often in partnership with educational institutions and policy organizations.

• Higher Education
• Educational Reform
• Further Education
• +۷ مورد دیگر

Associate Professor Olimpiu Stoicuta is affiliated with the Polytechnic University of Timișoara's Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering. His research focuses on advanced control systems for electrical motors, renewable energy integration, and econometric analysis of energy policies. He has extensive expertise in sensorless vector control, induction motor modeling, and optical communication technologies. Education details are not explicitly stated in the provided text, but his work indicates a strong background in electrical engineering and control systems. He has published widely on topics including adaptive observers, energy transformation systems, and underground communication solutions. His research interests span multiple domains: (1) Electrical Engineering with emphasis on motor control and power electronics; (2) Renewable Energy focusing on system integration and efficiency improvements; (3) Data Communication involving LiFi and optical networks for industrial applications; and (4) Econometric Modeling related to energy policy analysis in Romania and the EU. Recent publications (2020-2025) highlight trends in AI-driven network optimization, sensorless motor control advancements, and energy policy studies. Articles frequently address practical engineering challenges like underground communication reliability and EV autonomy enhancement. No specific awards or grants are mentioned, though his prolific publication record suggests sustained research activity. Laboratory and team involvement can be inferred through his work on robotics (exoskeleton control) and collaborative projects in industrial automation systems.

• Control Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Marcos Arza Garcia is a Postdoctoral Researcher at the University of Santiago de Compostela (USC), affiliated with the Department of Agroforestry Engineering under the Higher Technical School of Engineering. His primary research focuses on geomatics, remote sensing, and sustainable agricultural applications using UAVs (drones). He holds a Doctorate from USC, awarded in 2021 for his thesis on 'Remote sensing with UAVs in the agroforestry and agroindustry: key applications in biomass, plantation survival, and energy efficiency of wineries.' His academic affiliations include membership in the Strategic Grouping in Sustainable Management and Production of Bioresources (BioReDes) and the CIGEO Group (Integrated Civil Engineering and Geomatics Group) . His work integrates advanced technologies like photogrammetry, digital image correlation (DIC), and multispectral imaging to address challenges in civil engineering, soil mechanics, and precision agriculture. Key research interests include UAV-based monitoring of biomass and vegetation health, structural stability assessment of coastal infrastructure, and innovative teaching methods for geomatics. His publications emphasize applications in sustainable agriculture, civil engineering, and geospatial education, leveraging tools like 2D/3D-DIC and NDVI analysis. His research trends reveal a focus on bridging technology and sustainability, with recent work addressing drone applications for infrastructure assessment, soil mechanics testing, and inclusive educational initiatives for photogrammetry. Despite no explicitly listed awards, his contributions to geomatics education and field innovations highlight his impactful academic engagement. He collaborates with multidisciplinary teams and contributes to educational outreach through projects like the 'D3mobile Metrology World League,' training secondary students in smartphone-based photogrammetry. His email contact is m.arza@usc.es .

• Remote Sensing
• Photogrammetry
• Geomatics
• +۵ مورد دیگر

Michał Przewoźniczek is a Professor at Wrocław University of Science and Technology (PWr), actively contributing to the fields of evolutionary computation, optimization, and artificial intelligence. He is a key member of multiple research teams, including the Metaheuristics Team, Machine Learning Team, and Advanced Data Analysis Methods Team, reflecting his broad interdisciplinary impact. His research focuses on Evolutionary Computation , Multi- and Many-objective Optimization , Linkage Learning , Problem Decomposition , and Hybridization of metaheuristic methods, with applications in industrial process planning, network optimization, and real-world decision-making. He leads significant research projects such as greybox optimization (2023–2026) and multi-objective evolutionary methods with linkage learning (2021–2026), demonstrating sustained grant support and scientific leadership. The analysis of his recent publications reveals a consistent trend in advancing parameter-less evolutionary algorithms, empirical linkage learning, and scalable distributed implementations using containerization (e.g., Docker). His work bridges theoretical algorithm development with practical applications in optical networks, manufacturing, and distributed computing. His scientific honors include: Best Paper Nomination at the Genetic and Evolutionary Computation Conference (GECCO) Associate Editor, IEEE Transactions on Evolutionary Computation (since January 2023) Prof. Przewoźniczek supervises graduate students as a thesis advisor and collaborates extensively with researchers such as Piotr Dziurzanski, Marcin Komarnicki, Krzysztof Walkowiak, and Leandro Soares Indrusiak. He is actively involved in major conferences like GECCO, CEC, and CORES, and his work is indexed in Google Scholar, ResearchGate, and ORCID (0000-0003-2446-6473). He is affiliated with research groups focusing on Machine Learning, Computer Networks, Advanced Data Analysis, and Metaheuristics, indicating a strong collaborative and team-based research environment.

• Evolutionary Computation
• Multi-objective Optimization
• Many-objective Optimization
• +۱۲ مورد دیگر

Carlo Drago is an Associate Professor of Economic Statistics at the University of Naples 'Niccolò Cusano', where he teaches Probability, Statistics, and Computer Science in the Faculty of Engineering and Economics. He previously served as an Expert at the European Commission's Joint Research Center (JRC) and is currently a member of the 'Market Competition Innovation' Working Group under Italy's Ministry of Economic Development (unpaid role). He holds a PhD in Statistics from the University of Naples 'Federico II'. His research focuses on Machine Learning applications (both supervised and unsupervised), with interdisciplinary emphasis on energy policy, healthcare economics, and socioeconomic issues like poverty measurement. Notable contributions include developing interval-based composite indicators for poverty analysis and frameworks for measuring energy resilience across 230 countries. Publications span journals such as Energy Policy , Ecological Economics , and Scientific Reports , with recent work addressing pandemic-related healthcare costs during the COVID-19 crisis and migraine treatment economic evaluations. His methodological innovations include interval K-means clustering and bootstrap approaches for governance network analysis. Dr. Drago has collaborated with EU-funded projects like MUNROS, investigating healthcare professional roles' impact on patient satisfaction. His work frequently bridges statistical methodology with practical policy applications in energy, health, and socioeconomic equity.

• Machine Learning
• Energy Policy
• Health Economics
• +۳ مورد دیگر

Naeem Janjua is a Senior Lecturer at Flinders University and an Adjunct Senior Lecturer at Edith Cowan University. He specializes in AI, Deep Learning, Semantic Web technologies, and Knowledge Graphs, with a focus on real-world applications in logistics, healthcare, and IoT systems. His research emphasizes causal relationships in data and event-centric AI decision-making. He holds a PhD from Curtin University's School of Information Systems (2013), recognized as an outstanding thesis. His interdisciplinary work includes frameworks for unstructured data structuring into semantic-rich knowledge graphs, enhancing AI applications like recommendation systems. Recent projects explore causal inference in real-time event analysis. He has secured significant grants, including an AUD 1.75M Australian Research Council (ARC) Linkage Grant for green logistics via Cyber-Physical Systems (2016–2020) and AUD 150K from Cinglevue Pty Ltd for knowledge graph-based educational tools (2020–2024). Dr. Janjua has advised four PhD students, including notable works on SLA management, stochastic software modeling, and medical image analysis. He is a Course Coordinator for the BIT Program and teaches software systems, testing, and quality assurance courses. His professional recognition includes IEEE Senior Member status and Australian Computing Society certification. Research interests span AI ethics, causal ML, and decision support systems, with over 700 citations and an h-index of 13. Collaborations include global institutions and industry partners like Cinglevue Pty Ltd.

• Artificial Intelligence
• Deep Learning
• Semantic Web
• +۹ مورد دیگر

Shane Culpepper is an Adjunct Professor in the School of Computing Technologies at RMIT University, where he also serves as Director of the Centre for Information Discovery and Data Analytics and a Vice-Chancellor's Principal Research Fellow. His research focuses on building efficient search systems, measuring answer quality, and human-driven data science transformation of heterogeneous data. Key areas include algorithms, machine learning, distributed computing, and statistical modeling. Teaching interests span space-efficient data structures, data compression, bioinformatics, natural language processing, and combinatorics. His research interests include information retrieval, artificial intelligence, and computational theory. Supervision projects include topics like query performance prediction, inferential risk measures, and efficient cascade ranking. Over 100 research outputs are listed, with recent work on query optimization, multimodal feature extraction, and trajectory data analytics. Collaborations and a personal website ( https://www.culpepper.io/ ) highlight active engagement in the academic community.

• Information Retrieval
• Data Analytics
• Machine Learning
• +۹ مورد دیگر

Sergio Villamayor Tomas is a Professor in the Department of Political Science and Public Law at Universitat Autònoma de Barcelona, specializing in social-ecological systems and natural resource governance. With an h-index of 29 and 3405 citations, his research focuses on institutional analysis of community-based natural resource management, particularly examining Spanish irrigation communities and socio-ecological transformations in agricultural systems. He leads the Economia Ecològica (ECONECOL) research group and serves as Principal Investigator on multiple major research projects. His research interests span social-ecological systems theory, institutional analysis of natural resource governance, community-based management approaches, and socio-technological transformations in agricultural systems. Villamayor Tomas employs multi-method approaches including Networks of Action Situations framework, meta-analyses of governance outcomes, and participatory modeling techniques. His work particularly emphasizes Spanish irrigation communities but extends to comparative analyses across Mediterranean regions and Latin America. His publication portfolio reveals strong thematic consistency in environmental governance research, with recent work expanding into renewable energy governance (wind power) and pollinator conservation. His articles demonstrate methodological diversity spanning quantitative analyses of stakeholder behavior, qualitative life-history approaches to farm succession, and participatory socio-ecological modeling. The research shows increasing interdisciplinary integration with agricultural economics, environmental science, and sustainability studies. MSCA Postdoctoral Fellowship (as Principal Investigator) Villamayor Tomas has supervised 3 research projects and mentored multiple graduate students, though specific student names aren't listed in the available materials. His grant portfolio includes substantial funding from Spanish national programs and international collaborations, with current projects totaling over 10 million euros in research funding. He maintains active collaborations with institutions across Spain, the United States, and Colombia. He leads the Economia Ecològica (ECONECOL) research group, which focuses on socio-ecological transformations in agricultural systems, and collaborates with international networks studying irrigation governance and sustainable resource management. His team employs mixed-method approaches combining institutional analysis, social network analysis, and participatory research methods to address complex environmental governance challenges.

• Social-ecological Systems
• Natural Resource Management
• Institutional Analysis
• +۵ مورد دیگر

Martin Szummer is a Researcher at the University of Cambridge, UK, and part of the Spoken Dialogue Systems group. Previously, he worked at Microsoft Research in Cambridge (Machine Learning and Perception Group). He holds a Ph.D. in Machine Learning from MIT (2002) and an M.S. from the MIT Media Lab. Research Focus: Szummer’s work spans probabilistic models, deep learning, reinforcement learning, and natural language processing. He explores methods to improve interactions with users through dialogue systems and develops techniques to manage complex data via Bayesian inference, semi-supervised learning, and structured prediction. His contributions include probabilistic programming frameworks, big data processing on cloud clusters, and applications in text mining, image recognition, and computational advertising. Notable Achievements: Recipient of the SIGDIAL 2013 Best Paper Award for dialogue system adaptation research. Developed the Temporal Texture database, foundational for video analysis and synthesis. Collaborations & Mentoring: Advised prominent students like Percy Liang (Stanford) and Volodymyr Mnih (DeepMind). His work at Microsoft Research led to innovations in POMDP-based dialogue systems and semi-supervised learning. Technical Contributions: Publications on dialogue systems, probabilistic modeling, and web-scale data mining. Authored datasets like the Temporal Texture collection, widely used in computer vision research.

• Deep Learning
• Probabilistic Models
• Reinforcement Learning
• +۹ مورد دیگر

Antti Penttilä is a University Researcher and Docent at the Department of Physics, University of Helsinki, specializing in planetary-system research and light scattering phenomena. He serves as the Supervisor for the Doctoral Programme in Particle Physics and Universe Sciences. His work focuses on asteroid spectroscopy, space weathering effects, and radiative transfer modeling. Key roles include Project Manager for the 'BF/CELLIGHT' (2024–2026) and 'COLORADO JOINT COLLABORATION' (2023–2025) projects. He has received prestigious awards, including the JQSRT Peter C. Waterman Award (2012) and the Lancelot M. Berkeley Prize (2023). Research interests span planetary science, asteroid taxonomy, and computational methods for light scattering. He actively collaborates internationally, contributing to missions like Gaia and DART. His lab, the Astrophysics Laboratory, supports advanced optical measurements and particle analysis.

• Planetary Science
• Light Scattering
• Astronomy
• +۳ مورد دیگر

Ceyhan Kahya is an Assistant Professor at the Department of Meteorological Engineering, Istanbul Technical University. His research focuses on environmental science, remote sensing, solar energy forecasting, and climate modeling. Key areas include urban dynamics, drought analysis, air quality, and WRF model applications. He has contributed to studies on surface urban heat islands, particulate matter analysis, and structural engineering failure investigations. His work integrates remote sensing data with meteorological models to address environmental challenges such as drought monitoring in the Ergene Basin and solar irradiance forecasting in Turkey. He also explores the relationship between artificial surfaces and land surface temperature, emphasizing urban climatology. With 11 research outputs since 2005, his contributions span environmental engineering, atmospheric science, and interdisciplinary applications. Current research includes spatiotemporal hotspot analysis in Istanbul's urban development and postprocessing of WRF forecasts using machine learning techniques. His studies often address sustainability challenges, such as water footprints in dairy production and Antarctic air quality analysis. Dr. Kahya supervises 5 ongoing theses and collaborates on projects involving model output statistics, aerosol impacts on solar energy, and structural integrity assessments. His work bridges theoretical climate science with practical applications in renewable energy and environmental policy.

• Meteorological Engineering
• Environmental Science
• Remote Sensing
• +۷ مورد دیگر

Prof. Dr.-Ing. Martin Botteck is a faculty member at South Westphalia University of Applied Sciences, where he leads courses in the Department of Engineering and Economics. He holds a professorship in engineering disciplines, with a focus on multimedia systems and embedded technologies. Education: Dipl.-Ing. and Dr.-Ing. in Electrical Engineering from TU Dortmund Research Interests: Multimedia systems, embedded architectures, digital signal processing, wireless communication, and virtualization Recent Work: Developments in music data analysis frameworks, power modeling for embedded processors, and security through virtualization Publications: Spanning IEEE journals, international conference proceedings, and book chapters His academic contributions include peer-reviewed articles on mobile media search, music classification, and embedded device security. He holds the IEEE Senior Member distinction and has served on program committees for international conferences.

• Multimedia Systems
• Embedded Systems
• Wireless Communication
• +۱۲ مورد دیگر

Melissa Goldin Evans, PhD, MsPH, is an Assistant Professor in the Department of Social, Behavioral, and Population Sciences at Tulane University's School of Public Health and Tropical Medicine. She is affiliated with the Mary Amelia Center for Women’s Health Equity Research (MAC), where she contributes to advancing reproductive health equity through community-engaged research. Her work focuses on maternal and child health, reproductive healthcare access, and policy-related disparities, particularly in Louisiana and the Gulf South region. PhD in Community Health Sciences, LSUHSC School of Public Health MsPH in Tropical Medicine, Tulane University School of Public Health & Tropical Medicine BS in Exercise Science, Boston University Dr. Evans specializes in reproductive health equity, with a strong emphasis on contraceptive access, maternal mental health, and community-centered research methodologies. Her research integrates both qualitative and quantitative approaches to examine systemic barriers affecting low-income and marginalized women. She has led and contributed to evaluations of state-funded telehealth mental health programs and postpartum home visiting initiatives. Her recent publications (2024–2015) reflect a consistent focus on maternal health disparities, reproductive rights policy, and innovative public health interventions. Key themes include maternity care deserts, LARC uptake, racial disparities in prenatal depression, and the impact of abortion policies on maternal mortality. Her work frequently appears in leading journals such as Womens Health Issues , American Journal of Public Health , and Maternal and Child Health Journal . Dr. Evans has been recognized with several prestigious awards: MatCH Scholar (2020–2022) Board of Regents Fellow, Louisiana State University (2012–2016) Albert Schweitzer Fellowship, New Orleans (2013–2014) She is a co-investigator on a NIH-funded Maternal Health Research Center of Excellence, where she serves as deputy director of the community partners core, ensuring community voices shape research priorities. She teaches courses including SPHL 6500, SPHL 9460 (Practice-Based Portfolio), and SPHU 1010 (Intro to Public Health), mentoring students in experiential learning and public health practice. Her research is supported by federal and institutional grants focused on reducing maternal morbidity and mortality in underserved populations. Dr. Evans collaborates extensively with community-based organizations and coalitions, such as the New Orleans Maternal and Child Health Coalition, to co-develop interventions and advocate for systemic change. Her leadership in the Southern Center for Maternal Health Equity underscores her commitment to multisectoral, community-driven solutions to public health challenges.

• Maternal and Child Health
• Reproductive Healthcare Access
• Reproductive Health Equity
• +۷ مورد دیگر