جستجوی استاد راهنمای دانشگاهی

J.J. Shinkerمشاهده پروفایل

استاد

• Climate Science
• Climatology
• Paleoclimatology
• +۵ مورد دیگر

Dr. J.J. Shinker is a Professor in the Department of Geology and Geophysics at the University of Wyoming. His research focuses on synoptic climatology, paleoclimatology, hydroclimatology, and environmental change, with a particular emphasis on understanding climate extremes like droughts and ENSO impacts on water resources and ecosystems in the western U.S. He develops geospatial visualization tools, including animated maps and 3D climate models, to enhance climate process comprehension. Shinker advises the Multicultural Association of Student Scientists (MASS) and teaches courses on physical geography, climate variability, and environmental change. His work integrates paleoenvironmental records with modern data to explore long-term climate dynamics. Education : Ph.D. in Geography (2003) from University of Oregon; M.A. Geography (1999); B.S. Geosciences (1996) from University of Arizona. Research projects include analyzing early snowmelt timing in Wyoming headwaters, ENSO precipitation anomalies, climate change impacts on vegetation and wildfires, and developing web-based climate visualization tools. His publications span Quaternary International, Journal of Climate, and Earth Interactions, focusing on wildfire activity, hydroclimate relationships, and paleohydrological reconstructions. Shinker’s academic contributions bridge climatic processes and societal challenges, emphasizing interdisciplinary approaches to environmental science.

• Geographic Information Systems (GIS)
• Computer Graphics
• Mobile GIS Applications
• +۴ مورد دیگر

Aleksandar M. Dimitrijevic is an Associate Professor at the Faculty of Electronic Engineering, University of Niš, Department of Electrical Engineering and Computer Science. He holds a Doctorate from the same institution (2024), a Master's degree (2003), and a Bachelor's degree (1997). His academic career includes roles as Assistant Professor (2004) and Associate Professor (2024). Education: PhD in Computing and Informatics, Faculty of Electronic Engineering, University of Niš (2024) Master's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (2003) Bachelor's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (1997) Research Interests: Aleksandar focuses on Geographic Information Systems (GIS) , Computer Graphics , and Algorithm Optimization . His work emphasizes terrain rendering algorithms, mobile GIS applications, and integration of GIS with virtual reality systems. Recent projects include optimizing spatial coherence in terrain visualization and developing block-based rendering techniques for large datasets. Publications Trends: His articles span terrain rendering (RINGO algorithm variants), mobile GIS implementation, and XML web services management. Notable contributions include enhancing parallel processing for spatial data and improving visualization efficiency in mobile environments. Advising & Grants: While specific student names/grant details are not listed, he participates in 3 national projects and has contributed to international conferences (WSEAS, TELSIKS). His research collaborations include institutions like Benalmadena (Spain) and Elounda (Greece). Labs/Teams: Affiliated with the Faculty's computing and telecommunications departments, though specific lab names are not specified in the text.

Yolima Carrilloمشاهده پروفایل

دانشیار

• soil carbon
• nutrient cycling
• rhizosphere processes
• +۶ مورد دیگر

Associate Professor Yolima Carrillo is a terrestrial ecosystem ecologist at Western Sydney University's Hawkesbury Institute for the Environment (HIE). Her research explores how climate change and management practices affect soil carbon, nutrient cycling, and rhizosphere processes through plant-soil-microbe interactions. She employs stable isotope tracers, microbial community assessments, and chemical analyses to study carbon-nitrogen-phosphorus dynamics in natural and agricultural systems. Key research areas include drought impacts on plant-soil feedbacks, mycorrhizal symbiosis in carbon sequestration, biogeochemical responses to ecosystem restoration, and microbial mediation of nutrient cycling under elevated CO2. Carrillo co-founded the Stable Isotope in Biosphere Systems workshop and has led grants investigating silicon applications for drought resilience, nitrogen-water relationships, and soil inoculant effects on carbon stability. Scientific Awards: Western Sydney University Women’s Fellowship Scheme (2015) Current projects involve collaborations with researchers like David Tissue, Uffe Nielsen, and Jeff Powell on topics such as carbon-phosphorus balance in forests, rewilding for biodiversity restoration, and drought-nutrient stoichiometry. Her work spans field experiments, laboratory studies, and ecological modeling to address climate change mitigation through soil systems.

Aline De Vleminckمشاهده پروفایل

استادیار

• Advance Care Planning
• Palliative Care
• End-of-Life Care
• +۳ مورد دیگر

Aline De Vleminck is an Assistant Professor and post-doctoral researcher at the End-of-Life Care Research Group within the Family Medicine and Chronic Care department at Vrije Universiteit Brussel (VUB). She holds a PhD in Sociology and has established herself as a leading researcher in advance care planning, particularly focusing on vulnerable populations including dementia patients and those in general practice settings. Her educational background includes a Master's degree in Sociology from Vrije Universiteit Brussel (2010), followed by doctoral research on advance care planning in general practice. In 2015, she was awarded a Fulbright Scholarship to conduct research on hospice care for dementia patients at the National Palliative Care Research Center at Icahn School of Medicine in New York. De Vleminck's research primarily focuses on advance care planning across various contexts including dementia care, general practice, and cancer care. Her work emphasizes developing and evaluating interventions to improve communication about future care preferences, particularly for vulnerable populations. Recent projects demonstrate increasing integration of digital health solutions, with a focus on user-centered design for web-based tools supporting advance care planning. Her publication portfolio shows a clear trend toward interdisciplinary research combining palliative care, digital health, and patient-centered approaches. The most recent articles reveal significant work on adapting advance care planning for specific populations including dementia patients, adolescents with cancer, and COPD patients, with growing emphasis on technological solutions and multistakeholder approaches. Fulbright Scholarship Award (2015) for research on hospice care for dementia patients at Icahn School of Medicine De Vleminck has secured substantial research funding including projects supported by 'Kom op Tegen Kanker', the Flemish government agency for Innovation by Science and Technology (IWT), and multiple European grants. Her supervisory role is evident through her involvement in doctoral projects and collaborations with PhD students, particularly in joint VUB-UGent initiatives. She actively participates in large-scale multicenter studies including the FLIECE project and the DIAdIC trial, demonstrating strong collaborative research networks across European institutions. As a core member of the End-of-Life Care Research Group, De Vleminck works within a multidisciplinary team that includes medical doctors, nurses, psychologists, and sociologists. Her current research portfolio includes several active projects focused on enhancing existential care for COPD patients, understanding social connections in serious illness, and developing comprehensive multistakeholder models for advance care planning.

Hauke Floresمشاهده پروفایل

پژوهشگر

• Sea-ice ecosystems
• Arctic marine biology
• Climate change impacts
• +۳ مورد دیگر

Dr. Hauke Flores is a marine biologist at the Alfred Wegener Institute (AWI), specializing in polar ecosystems and their response to climate change. His work focuses on sea-ice-associated fauna, Arctic and Antarctic biogeochemical processes, and the ecological impacts of ice loss. He leads research on key species like Arctic cod and Antarctic krill, emphasizing their roles in food webs and carbon cycling. His expertise includes polar oceanography, ecological modeling, and interdisciplinary projects such as the MOSAiC expedition. He advises policy groups like the Arctic Council's CBMP-CAFF initiative, linking science to conservation. Flores' research addresses climate-driven shifts in biodiversity, ecosystem services, and fisheries sustainability, with findings published in top journals like Biogeosciences and Ecological Applications . Awarded the Heinrich Award for climate science contributions, he also engages in education through lectures and seminars, bridging polar research with broader environmental challenges.

Samuel Wayمشاهده پروفایل

پژوهشگر ارشد

• Computational Social Science
• Data Science
• Online Behavior Analysis
• +۴ مورد دیگر

Samuel Way is a Research Fellow at the University of Colorado, specializing in computational social science. His work leverages online data and mathematical modeling to explore human behavior and health, with a focus on music streaming dynamics, academic productivity, and algorithmic fairness. He holds an office at 4A JSCBB and has published extensively on topics ranging from music recommendation systems to the sociological impacts of parenthood in academia. His research bridges computer science, social sciences, and data analytics, addressing both theoretical and applied challenges in modern digital ecosystems. Research interests include analyzing large-scale music streaming patterns, evaluating fairness in machine learning tools, and quantifying systemic inequalities in academia. Notable contributions include studies on nostalgic listening behaviors, the random walk model of scientific productivity, and the development of frameworks for assessing fair ML toolkits. His work frequently utilizes network analysis, longitudinal studies, and algorithm design to uncover actionable insights for policymakers and industry leaders. While no formal awards are listed, his publications demonstrate significant contributions to interdisciplinary research. Advising and grants information is not provided in the source texts. Samuel collaborates across disciplines, reflecting the computational social science field's collaborative nature.

• Genetics
• Molecular Biology
• Computational Biology
• +۳ مورد دیگر

Daniel P Higgins is a Lecturer at the T.H. Chan School of Medicine, UMass Chan Medical School, affiliated with the Program in Molecular Medicine. His research bridges computational biology and molecular genetics, focusing on stress response mechanisms and gene regulation. Education: Bachelor of Arts in Computer Science, Assumption College Master of Science in Computer Science, Georgia Institute of Technology Dr. Higgins’s work centers on leveraging computational tools to study genetic networks and metabolic pathways , particularly in Caenorhabditis elegans . His recent studies examine oxidative stress adaptation, S-adenosylmethionine (SAM) metabolism, and mitochondrial function. He developed the WormCat platform for genome-scale data analysis, advancing functional annotation in nematode genetics. The most recent publications highlight a focus on transcriptional regulation , GPCR signaling , and phosphatidylcholine-mitochondria interplay . His earlier work established foundational insights into SAM-dependent stress responses. Networks & Collaborations: Dr. Higgins collaborates with researchers like Amy Walker and Read Pukkila-Worley, contributing to interdisciplinary studies in systems biology. His work intersects with concepts such as genome annotation , molecular signaling , and bioinformatic tools .

Filip De Turckمشاهده پروفایل

استاد

• Resilient Networks
• Anomaly Detection
• Large-Scale Data Processing
• +۳ مورد دیگر

Filip De Turck is a Professor at Ghent University's Department of Information Technology , leading the network and service management team. With a PhD in Engineering (2002) and a visiting postdoc at Columbia University (2003), his research focuses on resilient softwarized networks , anomaly detection , and adaptive large-scale data processing . He has supervised 38 PhD students and currently mentors 8, with an h-index of 40 and over 8952 citations. Research Interests : Resilient networks, anomaly detection, edge computing, Kubernetes orchestration, SDN, and adaptive data processing. Education : Master in Electrical Engineering (1997), PhD in Engineering (2002) from Ghent University. Leadership : Co-authored 180 Web of Science journal papers and 500+ peer-reviewed works, leading the IDLab network and service management team. Publications : Recent studies span reinforcement learning for container orchestration, haptic-enabled VR systems, and knowledge graphs for network security. Impact : Innovations in cloud-native edge computing, volumetric video delivery, and federated learning for intrusion detection.

• Cybersecurity
• Automated Program Analysis
• Vulnerability Detection
• +۳ مورد دیگر

Yan Shoshitaishvili is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence, specializing in cybersecurity research and education. He leads Shellphish's participation in competitions like the DARPA Cyber Grand Challenge and AI Cyber Challenge, where his team developed autonomous hacking systems. His work focuses on automated program analysis via the angr framework, which has global impact in vulnerability detection and security research. He is also a pioneer in cybersecurity education through platforms like pwn.college and DEF CON CTF leadership. Education: PhD in Computer Science, UC Santa Barbara BS in Computer Science, Rensselaer Polytechnic Institute Research Interests: Automated program analysis, vulnerability detection, cybersecurity education, ethical hacking, and open-source security frameworks like angr. His work bridges academia and industry, emphasizing practical impact in areas like autonomous hacking systems and privacy-preserving technologies. Key Achievements: Third Place in DARPA Cyber Grand Challenge (2016) Founder of the Order of the Overflow and leader of DEF CON CTF (2018–2021) Creator of pwn.college, revolutionizing cybersecurity education Director of the American Cybersecurity Education Institute Labs & Teams: Shellphish (ethical hacking group), Order of the Overflow (CTF organizers), and the American Cybersecurity Education Institute (policy and education initiatives).

Sebastian Wernerمشاهده پروفایل

استاد

• Serverless Cloud Computing
• Distributed Cloud Applications
• Sustainability in Distributed Systems
• +۳ مورد دیگر

Dr.-Ing. Sebastian Werner is an Acting Professor leading the SWK research group at the University of Hamburg (UHH) since October 2024. He holds a PhD from TU Berlin's Information Systems Engineering group and has extensive experience in postdoctoral research and teaching. His academic focus lies in serverless computing, distributed systems, and cloud-native architectures. He teaches modules such as SE 1, SEE, and SWA at UHH, ensuring continuity in the SWK group's educational offerings. Research Interests: Sebastian’s work emphasizes sustainability, maintainability, and trustworthiness in distributed architectures. He has contributed to EU projects like TEADAL and DITAS, exploring cloud continuum data management and serverless platforms. His dissertation, 'Serverless Data Processing: Application Platform (Co-) Design,' highlights his expertise in scalable computing solutions. Key Projects: Includes the BMBF-funded SMILE project (2020), focusing on serverless migration and cloud application measurement. His research spans fog computing, blockchain-based systems, and edge performance benchmarking. Awards: Received the BMBF Software Campus - SMILE project award in 2020. Grants & Collaborations: Active in EU-funded initiatives and industry collaborations, such as the Gaia-X 4 Future Mobility project. His team at SWK includes researchers like Stephanie Schulte, Leif Bonorden, and Alireza Hakamian.

Diana Maynardمشاهده پروفایل

دانشگاهی

• Information extraction
• Social media analysis
• Sentiment analysis
• +۶ مورد دیگر

Dr. Diana Maynard is a Senior Research Fellow and Deputy Head of the Natural Language Processing (NLP) research group at the University of Sheffield's School of Computer Science. She leads computational linguistics efforts in the GATE research team, focusing on NLP tools and semantic analysis. Her work spans social media analytics, misinformation detection, and ontology development. She has held key roles in EU-funded projects like KNOWMAK and RISIS2, advancing research-policy linkages and social media analysis frameworks. Education and affiliations include extensive NLP research with a focus on GATE tool development, collaborations with organizations like the Centre for Freedom of the Media, and advisory roles in digital policy projects. Research interests emphasize applying NLP to address societal challenges like media freedom, environmental sustainability, and political discourse analysis. She has supervised numerous PhD students and delivered training courses on sentiment analysis and GATE. Her research output includes over 150 peer-reviewed publications, with recent focus on multimodal fake news detection, online abuse datasets, and climate change communication. She has secured £4M+ in research grants, including projects addressing journalist safety and environmental policy analysis. Her work bridges academic NLP with real-world applications in media monitoring, crisis response, and policy-making. Grants include leadership in EU Horizon2020 initiatives and UK research councils, emphasizing interdisciplinary NLP applications. She actively engages in public speaking and policy advisory roles, promoting the societal impact of NLP technologies.

• Software Engineering
• Performance Testing
• Machine Learning Applications in Software Engineering
• +۵ مورد دیگر

Weiyi (Ian) Shang is an Associate Professor at the University of Waterloo, affiliated with the Department of Electrical and Computer Engineering within the Faculty of Engineering. His research focuses on software engineering, performance testing, and machine learning applications in software systems. He leads the Software Engineering and System Engineering Lab, emphasizing practical solutions for logging, performance optimization, and automated testing. Key research areas include log analysis (privacy leakage detection, log summarization, and logging strategies), performance monitoring (regression detection, workload modeling), API evolution (migration techniques, workaround analysis), and automated code generation (LLMs in bug decomposition, AI code evaluation). His work bridges theoretical advancements with industrial applications, particularly in web systems and mobile app ecosystems. Publications span empirical studies, novel algorithms (e.g., DELA for error detection, CoMSA for configuration testing), and tools like LogAssist and Log4Perf. His research consistently addresses challenges in developer productivity, system reliability, and security across diverse domains like federated learning and DevOps practices. Notable contributions include improving log management through topic models, enhancing performance testing efficiency via microbenchmark optimization, and analyzing privacy risks in mobile app logs. Ongoing work explores AI-driven code evaluation and generalizable code embeddings for software tasks. Shang’s lab collaborates with industry on real-world systems, as seen in case studies involving serverless applications and database-centric systems. His research often involves empirical studies and tool development to bridge gaps between academic research and practical software engineering challenges.

• Database Systems
• NoSQL Databases
• Relational Databases
• +۴ مورد دیگر

Emanuela Mitreva is an Adjunct Professor at the Department of Computer Science, Sofia University St. Kliment Ohridski. She holds an M.Sc. in IT Services (2011) and a B.Sc. in Informatics (2009) from the same institution. Her research focuses on database systems, including NoSQL and relational databases, with applications in healthcare informatics, big data, and 3D visualization for education. She also explores digital storytelling for children's development and cultural heritage preservation through virtual collections. Her teaching interests include programming in Python and relational databases. Notable research contributions address XML data extraction in healthcare compliance, performance analysis of SQL/NoSQL systems, and leveraging Unity for 3D medical education tools. Her work bridges theoretical database research with practical implementations in medical and cultural domains. Mitreva has collaborated extensively on projects involving 3D visualization technologies and NoSQL solutions for analytical loads. Though no formal awards are listed, her publications reflect sustained engagement with interdisciplinary challenges in computer science applications.

Stefan Schulteمشاهده پروفایل

دانشیار

• Data Engineering
• Elastic Computing
• Internet of Things (IoT)
• +۶ مورد دیگر

Stefan Schulte is an Associate Professor at TU Wien's Faculty of Informatics, holding a habilitation in Computer Science. His roles include Vice Dean of Academic Affairs for Business Informatics. He earned a diploma in economics, bachelor's in Computer Science from the University of Oldenburg, and master’s from the University of Newcastle. He completed his PhD at TU Darmstadt and habilitation at TU Wien. His research focuses on data engineering, elastic computing, IoT, QoS/QoE, fog computing, and blockchain for data provenance. He leads projects like SIMPLI-CITY and CREMA, coordinating EU-funded initiatives. Education: Diploma in Economics (Oldenburg), BSc Computer Science (Oldenburg), MSc Information Technology (Newcastle), PhD (TU Darmstadt, 2010), habilitation (TU Wien, 2018). Research Interests: Data stream processing in IoT and smart systems Elastic computing frameworks for cloud/fog environments Blockchain applications for verification and interoperability QoS optimization in distributed systems Smart mobility and manufacturing systems Publications: Over 100 refereed papers in top venues like IEEE Transactions on Services Computing and VLDB. Recent work emphasizes fog computing architectures and cross-blockchain solutions. Awards: Multiple best paper awards (ESOCC 2020, Blockchain-2020), teaching recognition, and prestigious awards for student theses (OCG Incentive Award, Vienna City Awards). Grants/Advising: Coordinated EU projects SIMPLI-CITY and CREMA, supervised over 30 theses. Active in PhD supervision for Cyber-Physical Production Systems. Labs/Teams: Director of TU Wien's Distributed Systems Group (DSG), leading Fog Computing and Blockchain research initiatives.

Danai Symeonidouمشاهده پروفایل

پژوهشگر

• Semantic Web
• Key Discovery
• Rule Mining
• +۴ مورد دیگر

Danai Symeonidou is a Researcher (CR) at INRAE in Montpellier since 2015, working in the GAMMA team. She holds a PhD from University Paris Sud (2014) and a joint Greek-French Master's degree from the University of Crete and University Paris Sud. Her research focuses on Semantic Web technologies, key discovery in knowledge bases, rule mining, and descriptive analytics. She has conducted postdoctoral research at Telecom ParisTech and was a visiting researcher at the Insight Centre for Data Analytics in University College Cork, Ireland. Education includes a Bachelor's degree from the University of Macedonia (2009), followed by advanced studies in France. She has extensive teaching experience across multiple institutions, including courses on Discrete Mathematics, Relational Databases, UML, Algorithms, and Semantic Web topics. Her work emphasizes scalable solutions for data linking and key discovery, with contributions to RDF data analysis, knowledge base optimization, and agrifood chain modeling. She has published widely in top venues such as ISWC, K-Cap, and EKAW, focusing on theoretical foundations and practical applications of semantic web technologies.