Find Academic Supervisors

• Population Genetics
• Bioinformatics
• Genomic Data Analysis
• +6 more

Anders Albrechtsen is a Professor at the Bioinformatics Centre, Department of Biology, University of Copenhagen, specializing in computational and RNA biology. He leads research in statistical and computational methods for genomic data analysis with a focus on population genetics, particularly in isolated populations like the Greenlandic Inuit. Education: Natural Science Basic Education, Roskilde University Centre, Denmark (2000-2002) BSc in Molecular Biology, Roskilde University Centre, Denmark (2003) Mathematics, Roskilde University, Denmark (2002-2004) MSc in Bioinformatics, Copenhagen University, Denmark (2006) PhD from the Department of Biostatistics, Copenhagen University, Denmark (2009) Albrechtsen's research focuses on developing statistical and computational methods for genomic data analysis, with particular emphasis on multi-loci association studies, population structure analysis, and next-generation sequencing data. His work bridges computational methods development with applied population genetics, contributing significantly to understanding human and wildlife genomics. His research group develops open-source software available at www.popgen.dk/software. His recent publications demonstrate expertise across population genetics, genomic methods development, and medical applications, with numerous high-impact papers in journals like Nature, Cell, and Nature Communications. His work often involves large-scale genomic studies of human populations (particularly Greenlandic Inuit) and wildlife species, addressing questions related to population history, adaptation, and disease genetics. Scientific Recognition: Lundbeck Fellow (10M DKK, 2016-2021) Novo Ascending Investigator (10M DKK, 2021-) Villum Young Investigator Programme (2.3M DKK, 2011-2015) Albrechtsen actively supervises students and researchers, currently serving as main supervisor for 6 PhD students (with 8 completed), 2 postdocs, and 1 master's student (with 25 completed). He has secured significant research funding as PI and co-PI, including large collaborative grants like LuCamp (60M DKK) and the UCPH Excellence Programme (36M DKK). His research group maintains strong international collaborations, particularly with institutions in the United States. He serves as a journal reviewer for prestigious publications including Nature Genetics, Genome Research, and American Journal of Human Genetics, contributing to the scientific community through peer review and mentorship.

Adam KepecsView profile

Professor

• Computational Neuroscience
• Decision-Making
• Neural Circuits
• +5 more

Adam Kepecs is a Professor of Neuroscience and Professor of Psychiatry at Washington University School of Medicine, where he leads the Kepecs Lab as a BJC Investigator. His research focuses on reverse-engineering the computational and neurobiological processes underlying cognition and decision-making with applications to biological psychiatry and artificial intelligence. Kepecs earned his BSc in Computer Science and Mathematics from Eötvös Loránd University in Budapest, Hungary (1997) and his PhD in Neuroscience from Brandeis University (2002). His research spans multiple areas including neural basis of confidence in decisions, cortical circuits and interneurons, neuromodulatory systems, computational psychiatry, neuro-immune interactions, and neuro-inspired artificial intelligence. His research interests center on understanding the algorithms governing behavior, how specific neural circuits and cell types generate cognition, motivation, and emotion, and how brain-body interactions shape physiology and behavior. He employs a multidisciplinary approach combining quantitative behavioral analysis, high-density electrophysiology and imaging, optogenetics, anatomical tracing, molecular biology, and computational modeling to understand how populations of neurons control behavior and cognitive functions. The most recent publications reveal a strong focus on confidence computation across species, neural mechanisms of decision-making, dopamine signaling in perception and psychosis, neuro-immune interactions in cancer, and developing computational frameworks for translating behavioral phenomena across species. His work bridges fundamental neuroscience with clinical applications, particularly in psychiatric disorders. James and Cathleen Stone Faculty Award, CSHL Kavli Frontiers of Science Fellow Eppendorf and Science prize for Neurobiology, Finalist John Merck Scholar Klingenstein Fellow Alfred P. Sloan Research Fellow McKnight Memory & Cognitive Disorders Award Kepecs leads a multidisciplinary team that brings together researchers from diverse backgrounds to tackle neuroscience's toughest questions. His lab has expanded into biological psychiatry and immunology since joining Washington University, exploring new frontiers in brain-body physiology. They are committed to translating findings from animal models to clinical applications to improve mental health research and care. The Kepecs Lab is known for pioneering a computational behavioral approach to isolate distinct cognitive processes and translate them across species, including establishing a rigorous framework linking human confidence reports to statistical decision confidence.

Ulrik Dam NielsenView profile

Associate Professor

• Naval Architecture
• Ship Motion Dynamics
• Sea State Estimation
• +7 more

Ulrik Dam Nielsen is an Associate Professor in the Section for Fluid Mechanics, Coastal and Maritime Engineering at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). He also held an external position as Associate Professor II at the Norwegian University of Science and Technology (NTNU) from 2014 to 2023, reflecting strong international collaboration. His work contributes to UN Sustainable Development Goals related to sustainable maritime operations and clean energy. His research focuses on naval architecture and ship motion dynamics , particularly in the context of sea state estimation , added resistance in waves , and real-time prediction of vessel responses . He integrates data analytics , estimation theory , and machine learning to develop methods for monitoring hydrodynamic performance and enhancing maritime safety and energy efficiency. A central theme of his work is using ships as mobile wave sensors—transforming operational vessels into 'sailing wave buoys' for environmental monitoring. His recent publications show a clear shift toward data-driven methodologies, especially machine learning applications in sea state estimation, added resistance modeling, and performance monitoring. These works span journals like Ship Technology Research and Journal of Offshore Mechanics and Arctic Engineering , and conferences such as IEEE MetroSea, highlighting interdisciplinary innovation at the intersection of classical marine engineering and modern AI. Best Paper Presented by a Young Researcher Award (First Classified), 2024 (jointly awarded) He actively supervises PhD students—such as R. E. G. Mounet, M. Mittendorf, J. P. Tomy, and A. Oikonomakis—on projects funded by DTU and collaborative initiatives. His leadership in projects like WEFOSWAB (Wave Estimation and Forecasting Using Ships as Buoys) and data-driven added resistance modeling underscores his role in advancing smart maritime technologies. He also contributes to open science through the public release of datasets such as NetSSE . He teaches core courses including Introduction to Ships and Floating Structures , Marine and Ocean Engineering , and Ship Operations , shaping the next generation of maritime engineers.

Alessandro FogliView profile

Researcher

• Distributed Systems
• Data Analytics
• Cluster Resource Management
• +4 more

Alessandro Fogli is a PhD Student at Imperial College London in the Department of Computing, affiliated with the Large-Scale Data & Systems (LSDS) Group . His research focuses on systems support for data analytics in cloud environments, including distributed systems, resource management, and query processing. Education PhD in Computer Science, 2019–Present, Imperial College London MSc in Computer Science, 2015–2017, Roma Tre University BSc in Computer Science, 2012–2015, Roma Tre University His research spans Distributed Systems , Databases , Data Analytics , and Modern Hardware . Recent work examines chiplet-based processor architectures and runtime mapping systems, with applications in performance optimization and hardware-aware query execution. Scientific Contributions Co-developed CHARM (2025), a runtime mapping system for chiplet heterogeneity Published in VLDB (2024) on OLAP processing for chiplet-based CPUs Contributed to HeatWave at Oracle Labs, improving query offloading to in-memory accelerators

Amine MhedhbiView profile

Assistant Professor

• Database Management
• Graph-Structured Databases
• Query Optimization
• +4 more

Amine Mhedhbi is an Assistant Professor at Polytechnique Montréal in the Department of Computer Engineering and Software Engineering. He is affiliated with the Institute for Data Valorization (IVADO) and the Software Engineering for Machine Learning Applications (SEMLA) group. His research focuses on data management systems, particularly graph-structured databases, multimodal data engineering, and AI-driven query optimization. Ph.D. in Computer Science from University of Waterloo Former technical advisor to enterprise companies Prior applied research leadership at Distyl AI and internships at Microsoft Research His recent work explores integrating large language models (LLMs) into database systems, optimizing SQL generation, and advancing graph database architectures. Key projects include GraphflowDB and FlockMTL , addressing scalability and declarative semantic applications. Scientific awards include: NSERC Discovery Grant with Discovery Launch Supplement (2025) Cheriton School Distinguished Dissertation Award (2024) Microsoft Research Ph.D. Fellowship (2020) VLDB Best Paper Award (2018) He supervises graduate students in database systems and machine learning applications and serves on program committees for top-tier conferences like VLDB and SIGMOD.

Gotthard MeinelView profile

Research Fellow

• Geoinformatics
• Remote Sensing
• Land Use Monitoring
• +5 more

Gotthard Meinel is a Senior Fellow at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2023, with a distinguished career spanning over three decades in geoinformatics and spatial analysis. Previously, he served as Head of the Research Department for Spatial Information and Modeling (2009-2022) and held various leadership positions within the institute since joining in 1992. Meinel received his education at the Technical University of Dresden, graduating in Information Technology in 1981. He pursued postgraduate studies in biomathematics and earned a specialist mathematician degree between 1981-1992, culminating in his promotion (PhD equivalent) in 1987. His research focuses on geoinformatics, particularly remote sensing image processing and the automated analysis of large geospatial datasets. Meinel specializes in monitoring land-use developments and building stock through advanced spatial analysis methods. His work encompasses the development of indicators and visualization technologies for understanding settlement patterns and open space dynamics. With expertise spanning computer science, mathematics, and spatial analysis, Meinel has made significant contributions to the field of land use monitoring in Germany. Analysis of Meinel's recent publications reveals a strong focus on land use monitoring systems, spatial data infrastructure, and the integration of survey and geospatial data. His research increasingly emphasizes interdisciplinary approaches, combining urban planning, environmental science, and data science to address complex spatial challenges. Key trends include the development of comprehensive monitoring frameworks, analysis of building stock characteristics, and exploration of sustainable land use practices across Germany. Meinel has led or participated in numerous significant research projects including the Social-Spatial Research Data Infrastructure (SORA), the Research Database for Non-Residential Buildings (ENOB:DataNWG), OpenGeoEdu, and the Competence Center for Scalable Data Services and Solutions (ScaDS). These projects demonstrate his leadership in developing innovative spatial data infrastructures and analytical approaches. As project leader and principal investigator, Meinel has supervised numerous research initiatives and likely mentored students and junior researchers, though specific advisees are not documented in the provided materials. His work has significantly influenced spatial planning practices and land use monitoring methodologies in Germany. Meinel's research is closely associated with the IOER Monitor, a comprehensive spatio-temporal research data infrastructure for settlement and open space development in Germany. His team has developed sophisticated methodologies for analyzing land use change, building stock dynamics, and urban structure through the integration of topographic data, remote sensing, and statistical approaches.

Davide NataliniView profile

Academic

• Environmental Security
• Complex Social-Ecological Systems
• Systemic Risk
• +7 more

Davide Natalini is a Senior Research Fellow at Anglia Ruskin University's Global Sustainability Institute within the Faculty of Science and Engineering. His interdisciplinary work focuses on environmental security, complex social-ecological systems, and sustainable development, with particular emphasis on how resource scarcity can drive conflict. Natalini employs both quantitative methods like computer simulation and qualitative approaches such as multi-stakeholder engagement in his research. His educational background includes: PhD in Sustainability from Anglia Ruskin University's Global Sustainability Institute MA in Political Science – Environmental Economics and Environmental Policies from University of Turin BA in Political Science – International Relations from University of Bologna Natalini's research primarily centers on three interconnected areas: environmental security (particularly how resource scarcity drives conflict), complex social-ecological systems (studying human-nature relationships and systemic risks), and energy transitions (developing models for decarbonization). His methodological approach combines computer simulation and econometric modeling with participatory methods that engage diverse stakeholders through workshops, co-production, role-playing, and serious gaming. This interdisciplinary work bridges environmental science, political science, and computational modeling to address global sustainability challenges. Natalini has received recognition for his work, including: Best Presentation at Global Sustainability Institute Conference 2015 He has secured significant research funding, including £10k from Anglia Ruskin University's GCRF QR fund, ~€28k from Lorentz center for workshops, ~£116k for PhD studentships, and multiple other grants totaling over £50k for various sustainability projects. Natalini actively supervises students interested in environmental/climate security, food/fuel riots, political fragility, systemic failure, and computer modeling approaches. Natalini co-leads the Global Risk and Resilience theme at the Global Sustainability Institute with Dr. Zareen Bharucha and is involved in the "Chaos Map" project with Prof. Aled Jones, which highlights global pressure points for "chaos" measured by data on conflict events related to resource scarcity.

Sam MalekView profile

Professor

• Software Engineering
• Software Analysis and Testing
• Mobile Computing
• +3 more

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine's School of Information and Computer Sciences, where he directs the Software Engineering and Analysis Laboratory. Previously serving as Director of the Institute for Software Research (2018-2022), his academic leadership spans software engineering research and institutional management. His research centers on software engineering with specialized expertise in software analysis and testing , mobile computing , security , software architecture , and accessible computing . Malek's work consistently focuses on developing practical techniques and tools for constructing, analyzing, and maintaining large-scale software systems, with recent emphasis on accessibility challenges in mobile and web environments. His publication trends reveal a strategic shift toward accessible computing since 2020, where he pioneered frameworks like Ma11y for web accessibility testing and Groundhog for mobile app crawling. Earlier work established foundations in energy testing (2020), GUI input generation (2021), and architectural analysis, demonstrating methodological evolution from core software engineering to human-centered accessibility solutions. ACM SIGSOFT test-of-time award (2020) National Science Foundation CAREER award (2013) GMU Emerging Researcher/Scholar/Creator award (2013) GMU Computer Science Department Outstanding Faculty Research Award (2011) Malek serves on editorial boards for ACM Transactions on Software Engineering and Methodology and ACM Transactions on Autonomous and Adaptive Systems , while frequently acting as a software expert witness in intellectual property litigation. His research group actively recruits PhD students through UCI's Software Engineering PhD program, with current projects focusing on AI-driven accessibility solutions and mobile testing frameworks. The Software Engineering and Analysis Laboratory under his direction maintains strong industry connections through sponsored research and tool development, particularly in accessibility testing and mobile application quality assurance.

Christian BoulangerView profile

Research Fellow

• Sociology of Law
• Socio-Legal Studies
• Comparative History of Socio-Legal Studies
• +7 more

Christian Boulanger serves as a Research Fellow and Department Coordinator at the Max Planck Institute for Legal History and Legal Theory in Frankfurt am Main, Germany, a position he has held since November 2020. His work bridges traditional legal scholarship with cutting-edge digital humanities methodologies, focusing on the empirical analysis of legal theory production. Boulanger earned his PhD in political science from Free University of Berlin after studying modern history, law, and political science in Heidelberg, Berlin, and Seattle. His academic career includes significant roles at Humboldt University of Berlin where he served as Academic Coordinator for the Leibniz Prize Project 'Recht im Kontext' (2018-2020), Academic Officer at the Forum Transregionale Studien (2012-2016), and Research Associate at various law-related institutes including the Law and Society Institute Berlin. His research interests center on the sociology of law and socio-legal studies, with particular emphasis on comparative historical approaches to legal scholarship. Boulanger has pioneered the application of bibliometric and scientometric methods to analyze legal doctrine, developing innovative network analysis techniques to map the evolution of socio-legal thought across national contexts. His work on comparative constitutionalism and judicial studies provides critical insights into how legal knowledge circulates internationally. Boulanger's publication record reveals a methodological trajectory toward increasingly sophisticated digital humanities approaches to legal scholarship. His recent work demonstrates how citation network analysis can uncover hidden patterns in legal theory development, particularly through his Legal Theory Knowledge Graph project which systematically maps scholarly connections in socio-legal studies. This research has significant implications for understanding how legal knowledge is produced and disseminated across different national traditions. Boulanger leads several major research initiatives including the Legal Theory Knowledge Graph project, 'A different legal science - German sociology of law after 1945', and the international collaboration 'Socio-legal trajectories in Germany and the UK: cultures, actors and institutions'. These projects collectively examine how socio-legal scholarship has evolved differently in various national contexts while maintaining transnational connections. His methodological innovations in bibliometric analysis of legal literature represent a significant contribution to the field of digital legal studies.

Brian Ó RaghallaighView profile

Assistant Professor

• Digital Terminology
• Onomastics
• Folkloristics
• +6 more

Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).

• Autonomous Driving
• V2X Communication
• Robotics
• +3 more

Dr. Gamal ELGHAZALY is a Research scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), affiliated with the Ubiquitous and Intelligent Systems department. His work focuses on autonomous driving technologies, V2X communication systems, robotics, and control systems. Key research areas include 5G-enabled teleoperated driving, high-definition map construction, and 3D perception for autonomous vehicles. He has developed platforms like RoboCar and contributed to frameworks like FastCycle for modular automated systems. Research interests span robotics kinematics (planar parallel manipulators), adaptive control methodologies (sliding mode control, fuzzy logic), and hybrid systems (cable-driven robots). His publications emphasize real-time motion planning, sensor fusion, and safety-critical systems. Recent works (2023-2025) highlight advancements in 4D perception, cloud-assisted 3D reconstruction, and V2X-enabled collaborative systems. Publications from 2017-2018 reflect early contributions on parallel manipulator modeling and control, while recent efforts focus on integrating cutting-edge technologies like 5G and edge computing into autonomous systems. His work bridges theoretical robotics with practical implementations, addressing challenges in both dynamic environments and industrial applications.

• Atmospheric Sciences
• Climatology
• Tropical Cyclones
• +7 more

Dr. Yuriy Kuleshov is an Adjunct Professor in the School of Science at RMIT University, Australia. His research focuses on atmospheric sciences, climatology of tropical cyclones, and satellite remote sensing applications. He collaborates on projects addressing climate extremes, drought risk assessment, and multi-hazard risk mapping in Australia and the South-West Pacific. His teaching interests include climate change, seasonal climate prediction, and tropical cyclone dynamics. Key research areas include: Assessing tropical cyclone and coastal inundation hazards in Australia Improving satellite-gauge rainfall datasets for hydrological modeling Developing drought early warning systems using machine learning Evaluating vector-borne disease distribution linked to climatic factors Publications from 2022-2023 highlight advancements in: Multi-hazard risk assessment frameworks Statistical interpolation of remote sensing data Seasonal tropical cyclone forecasting techniques GIS-based flood resilience mapping Dr. Kuleshov is open to supervising PhD/Masters students in climate science, remote sensing applications, and disaster risk management. His work bridges environmental data analysis with practical solutions for climate resilience.

• Circular Economy
• Business Analytics
• Industrial Ecology
• +7 more

Dr. Mohammad-Sadegh Taskhiri is a Lecturer in Business Analytics at La Trobe University, Australia. He holds a PhD from Georg August Universität Göttingen, Germany, with a focus on logistics networks for wood flows and cascade utilization. His expertise spans circular economy, industrial ecology, and operations research, with a strong emphasis on integrating business analytics into environmental and supply chain challenges. He has secured over $1.2 million in research grants for projects in precision forestry, transportation, waste management, and energy systems. Education: PhD (Dr. rer. pol) in Economic Sciences, Georg August Universität Göttingen, Germany (2012–2016) Research Interests: Dr. Taskhiri's work focuses on circular economy metrics, sustainable forestry management through AI-driven technologies, and optimizing supply chains for decarbonization. He has published in leading journals such as Annals of Operations Research , Journal of Industrial Ecology , and Remote Sensing , emphasizing interdisciplinary approaches to environmental and operational challenges. Grants & Projects: He has led impactful projects, including modeling biomass utilization for energy plants and developing tools for forest structural complexity analysis. His work bridges academic research with practical applications, such as UAV-based forest canopy sampling and discrete-event simulation for port terminal optimization. Labs/Teams: Collaborates with interdisciplinary teams in circular economy, remote sensing, and precision forestry, fostering innovation in sustainable resource management.

• Semantic Web
• Data Integration
• Ontology Matching
• +4 more

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

Pascal HitzlerView profile

Professor

• Neuro-Symbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +4 more

Pascal Hitzler is the University Distinguished Professor and endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science within the Carl R. Ice College of Engineering. He serves as Director of the Center for Artificial Intelligence and Data Science (CAIDS) and Director (Research) of the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, including NCR Distinguished Professor and Director of Data Science. His academic journey includes a PhD in Mathematics from University College Cork (2001) and a Diplom in Mathematics from the University of Tübingen (1998). Affiliations: Kansas State University (2020–present), Wright State University (2009–2020), University of Karlsruhe (2004–2009), TU Dresden (2001–2004). Education: PhD in Mathematics (2001, UCC Cork), Diplom in Mathematics (1998, Tübingen). His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology modeling. Key contributions include founding editorships of the Neurosymbolic Artificial Intelligence and Semantic Web journals, co-authoring the Foundations of Semantic Web Technologies textbook, and pioneering ontology design patterns. His work emphasizes semantic web standards like OWL and integrates explainable AI with deep learning. Recent articles explore neuro-symbolic integration, geospatial knowledge graphs (KnowWhereGraph), and explainable AI through concept induction. He has received awards such as the SWSA Ten-Year Award (2020) and is a highly cited researcher in artificial intelligence. Grants and collaborations span digital agriculture, cybersecurity (K-CaTS), and interdisciplinary initiatives like the NSF-funded Global Food Systems Datahub. His DaSe Lab develops advanced semantic technologies, with projects including the Enslaved.org hub ontology and crisis management frameworks (HIP Ontology). Labs/Teams: Director of the DaSe Lab for Data Semantics, leading projects on knowledge graphs, neuro-symbolic AI, and geospatial data integration. Collaborates with institutions like the University of Notre Dame, Jönköping University, and IOS Press.