جست‌وجوی استاد و پژوهشگر

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +۵ مورد دیگر

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +۳ مورد دیگر

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

Theocharis Kyriacouمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Robotics
• +۴ مورد دیگر

Theocharis Kyriacou is a Reader in Computer Science at Keele University, School of Computer Science and Mathematics. He holds roles as Director of Education and Programme Director for undergraduate and postgraduate Computer Science programmes since 2018. Educated at the University of Sheffield (BEng, 2000) and University of Plymouth (PhD in Computer Science, 2004), his research focuses on Data Science and Machine Learning applied to healthcare, robotics, education, and sports science. He has led a 3-year Knowledge Transfer Partnership (KTP) with Bentley Motors and supports local SMEs through consultancy. His work spans academic research collaborations across disciplines and organizational roles in curriculum development. Research interests include machine learning applications in cardiology (predicting cardiovascular risks), wearable electronics for neurological conditions, and educational technology for curriculum design. He has published widely in journals like International Journal of Cardiology and BMJ Open Sport and Exercise Medicine , with a focus on interdisciplinary problem-solving. Awards and recognitions are not explicitly listed, but his contributions include impactful collaborations with medical institutions and industry partners. Advising and grants include guiding students in KTP projects and securing funding for robotics and healthcare-related research. He has developed new academic programmes in computer science apprenticeships and cross-school initiatives. His involvement in labs/teams includes collaborations with Keele’s pharmacy, sports science, and medicine departments, as well as international partners.

• Augmented Reality
• Computer Vision
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.

Abbas Heydarnooriمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +۵ مورد دیگر

Abbas Heydarnoori is an Assistant Professor in the Department of Computer Science at Bowling Green State University (USA) since 2022, and previously held a faculty position at Sharif University of Technology (Iran) from 2012 to 2022. He earned his Ph.D. in Computer Science from the University of Waterloo (Canada, 2009), and M.Sc. and B.Sc. in Software Engineering from Sharif University of Technology (2001 and 1999). His research focuses on AI-driven software engineering (AI4SE/SE4AI), leveraging data science and AI to address challenges like fault localization, bug prediction, and code comprehension. He analyzes software repositories (e.g., GitHub, Stack Overflow) to improve developer productivity and software quality. He has contributed to tools like CrowdSummarizer and ExceptionTracer, and his work spans topics such as microservices architecture, API usage analysis, and code summarization. Teaching includes graduate/undergraduate courses on AI for Software Engineering, Database Systems, and Software Engineering. His service roles include editorial board membership at Science of Computer Programming , and PC membership in conferences like MSR, SANER, and FSE. His research group actively publishes on automated code analysis, documentation generation, and developer productivity tools, with a focus on empirical and data-driven approaches.

Alexandra Kirschمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Alexandra Kirsch is an Assistant Professor in the Media Informatics Department at the University of Tübingen's Faculty of Informatics. She held the Carl von Linde Junior Fellowship at the Technical University of Munich (TUM) Institute for Advanced Study (TUM-IAS) from 2010. Previously, she was a senior research scientist at TUM's Intelligent Autonomous Systems Group and led the independent Junior Research Group “Planning for Adaptive Robot Assistance” within the Excellence Cluster CoTeSys (Cognition for Technical Systems). Education: Diploma in Computer Science from TUM, 2003 Doctoral degree from TUM, completed between 2003-2007 Research Interests: Kirsch focuses on developing control mechanisms for autonomous robots using artificial intelligence, aiming to create systems that collaborate closely and transparently with humans. Her work emphasizes models of world dynamics, robot action effects, and human behavior. She created the Robot Learning Language (RoLL) to automate model acquisition and update processes during robot operations. Collaborations with psychologists and neuroscientists explore joint human-robot planning tasks and model development for seamless interaction. Scientific Awards: Member of the Bayerische Akademie der Wissenschaften Förderkolleg (2012) Award by Comet Computer GmbH for excellent graduation results (2003) Advising & Grants: Managed interdisciplinary research projects during her junior fellowship at TUM. Previously worked as a management consultant at Booz & Co., 2007-2008. Her grants include the Carl von Linde Fellowship and support for the Junior Research Group. Labs/Teams: Active in the Planning for Adaptive Robot Assistance group (CoTeSys) and collaborates with the Cognitive Technology focus group at TUM-IAS. Engages in cross-disciplinary teams involving neuroscience and psychology for human-robot interaction studies.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۶ مورد دیگر

Talal Shaikh is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences in Dubai. He serves as Director of Undergraduate Studies and Programme Director for BSc Computer Science, BSc CS (AI), and MSc Software Engineering. With a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. Research Interests: Pervasive Computing, IoT/M2M, AI/ML, WiFi Sensing for Healthcare, Financial Machine Learning, Educational Technology Awards: Teaching Excellence Awards (2017/18), Fellow of the Higher Education Academy (FHEA), multiple Learning and Teaching Oscars (2016, 2017, 2018) His work spans Ubiquitous Computing and IoT , focusing on sensor networks and WiFi-based sensing for healthcare. In Artificial Intelligence , he applies ML to robotics, financial analytics, and educational innovation. Recent articles analyze Reinforcement Learning , Emotion Recognition , and WiFi Sensing applications. His teaching emphasizes student-centric learning, with over 100 supervised dissertations achieving distinctions. Collaborations include international conferences and interdisciplinary research in smart environments and adaptive systems.

Mauro Pezzèمشاهده پروفایل

استاد

• Software Engineering
• Software Testing and Analysis
• Self-Adaptive Systems
• +۵ مورد دیگر

Mauro Pezzè is a Full Professor of Software Engineering at the Università della Svizzera italiana (USI) and Università di Milano Bicocca, leading the STAR research group since 2006. He holds a laurea from the University of Pisa and a PhD from Politecnico di Milano. His research focuses on software testing, analysis, self-adaptive systems, and cloud systems. He has held editorial roles, including Editor-in-Chief of ACM Transactions on Software Engineering and Methodologies (TOSEM), and served on numerous program committees. Education: Laurea (Pisa), PhD (Politecnico di Milano). Professional roles include Dean of the Faculty of Informatics at USI (2009-2013), visiting scientist at UC Irvine and Edinburgh, and technical lead for international projects. He co-authored a seminal book on software testing (Wiley, 2007), with over 670 citations. Research Interests: Software Testing, Self-Adaptive Systems, Cloud Computing, AI in SE, Sustainable Software. Projects include work on field-based testing, failure prediction in distributed systems, and neuro-symbolic approaches for test oracles. Grants and Advising: Led STAR Lab projects in self-healing systems, GUI testing, and semantic matching. Advised numerous PhD/postdoc students (e.g., Ciniselli, Di Grazia, Qiu). Collaborations with European tech firms on R&D initiatives. Labs/Teams: STAR Group at USI/Constructor Institute, Bicocca, and Politecnico di Milano. Current members include postdocs and PhD students working on AI-driven testing and cloud reliability.

Alva L. Couchمشاهده پروفایل

دانشیار

• Network and System Management
• Geo-informatics
• Data Management
• +۹ مورد دیگر

Alva L. Couch is an Associate Professor at Tufts University's School of Engineering, Department of Computer Science, with a career spanning over 30 years. His work bridges network/system administration, autonomic computing, and hydrologic data science, focusing on scalable solutions for data management and automated system administration. Education: Ph.D. in Mathematics (1988), B.S. in Architecture (1978), and B.A. in Bassoon/Contrabassoon Performance (1978). Research Interests His research centers on: Network and System Administration: Tools like SLINK, Maelstrom, and Babble for dependency analysis, cloud migration, and policy enforcement. Geo-informatics: MEDFORD metadata language and HydroShare platform for hydrologic data curation and discovery. Autonomic Computing: Promise theory, convergent operators, and closure models for self-managing systems. Recent Work Trends His 2024-2018 publications emphasize: Cloud-based hydrologic data management (AnVILMEDFORD, HydroShare) Metadata standards for interdisciplinary research Machine learning for system administration Agent-based resource sharing models Scientific Awards Liebner Teaching Award (1996) Seymour Simches Advising Award (2017) Best Paper Awards: LISA 1996, AIMS 2008, LISA 2001 LISA 2000 Best Student Paper (with Michael Gilfix) Contributions He developed key software like Peep (network auralization) and Slink (configuration management), supported by NSF grants and industry partnerships. His work with CUAHSI's Water Data Center shapes national hydrologic data infrastructure. He also advocates for science education and privacy in computing.

Gul Calikliمشاهده پروفایل

مدرس

• Empirical Software Engineering
• Human Aspects in Software Development
• Program Comprehension
• +۲ مورد دیگر

Dr. Gül Calikli is a Lecturer in Software Engineering at the University of Glasgow specializing in empirical software engineering and human factors in software development. Her research investigates cognitive biases, code review practices, and human-centered aspects of software quality. Current work focuses on LLM-generated code evaluation, financial incentive design for software experiments, and variability management in software product lines. She develops methodologies to study developer behavior, team dynamics, and decision-making processes in software projects. Recent publications examine the impact of request formats on effort estimation, financial incentive guidelines for experiments, and vulnerability detection during code reviews. Her research bridges software engineering practice with cognitive psychology and organizational behavior. Dr. Calikli teaches software engineering courses and supervises research in human aspects of software development. She contributes to international collaborations on adaptive decision-support systems and privacy dynamics in social software.

Jacob Gorm Davidsenمشاهده پروفایل

دانشیار

• Virtual Reality
• Digital Learning
• Collaborative Learning
• +۳ مورد دیگر

Jacob Gorm Davidsen is an Associate Professor at Aalborg University's Department of Communication and Psychology, affiliated with The Faculty of Social Sciences and Humanities. He leads the Collaboratory for Human-Centered Immersive Problem-Solving Spaces (CHIPS) and co-founded initiatives like VILA and AVA360VR. His research focuses on leveraging digital technologies, particularly Virtual Reality (VR), to enhance learning, collaboration, and problem-solving in immersive environments. He holds a PhD in Human Centered Communication and Informatics. Key projects include 'En bedre start' (funded by Independent Research Fund Denmark) exploring VR for teacher training and the 360mash project addressing GPU cloud and software anonymization. His work bridges computer science, education, and human-centered design. Main research interests include immersive VR applications, collaborative learning environments, and digital infrastructure for social sciences. His contributions span 105+ publications, with recent emphasis on activity-based VR frameworks and near-future educational technologies. He serves on editorial boards (e.g., European Journal of Engineering Education) and actively reviews manuscripts. Notable software tools developed include DOTE and AVA360VR for qualitative analysis and video collaboration.

Daniel R Obaidمشاهده پروفایل

دانشیار بالینی

• Interventional Cardiology
• Cardiac Computed Tomography
• Intravascular Imaging
• +۵ مورد دیگر

Dr. Daniel R Obaid is a Clinical Associate Professor and Consultant Cardiologist at Swansea University Medical School , specializing in Biomedical Sciences . His clinical academic work at the Morriston Regional Cardiac Centre and ILS 2 Clinical Imaging Facility focuses on advanced cardiovascular imaging and interventional cardiology. Expertise in Interventional Cardiology , Cardiac CT , and Atherosclerotic Plaque Imaging Significant contributions to patient safety and human factors in cardiovascular procedures Recipient of the Young Investigator Prize from the Society of Cardiovascular CT, USA His research integrates invasive and non-invasive imaging techniques to identify vulnerable plaques, with publications spanning atherosclerosis , clot microstructure , and AI applications in cardiology . Current studies include virtual TAVR simulations and biomechanical analysis of plaque stress . Recent collaborative work explores low-dose radiation protocols , LDL transport modeling , and anti-inflammatory effects of GLP-1 agonists , reflecting interdisciplinary approaches to cardiovascular risk mitigation. Available for postgraduate supervision , Dr. Obaid has contributed to undergraduate medical professionalism and cardiovascular physiology modules (PM-241F, PM-266).

• Soil Science
• Climate Change Mitigation
• Environmental Protection
• +۵ مورد دیگر

Dr. Sharon O'Rourke is an Assistant Professor and Ad Astra Fellow at the University College Dublin (UCD) School of Biosystems and Food Engineering since 2019. Previously, she held roles at the University of Sydney and UCD's School of Agriculture and Food Science, focusing on soil science and environmental protection. She holds a BAgrSc from UCD and a PhD in Soil Nutrient Management from Queen's University Belfast. Research Interests: Her work centers on sustainable soil management, soil carbon sequestration, and environmental protection. She employs spectral techniques (e.g., mid-infrared, hyperspectral imaging) and modeling to study soil geochemistry, carbon dynamics, and climate change mitigation. Current projects include ClimateCropping (EU-wide soil carbon management), PRISM (in-field soil sensors), and CFunction (carbon-nutrient stoichiometry). Grants & Projects: Key grants include funding from Teagasc, the Department of Agriculture, and the Sustainable Energy Authority of Ireland. Notable projects include proximal soil sensing for carbon monitoring and bio-based product development via pyrolysis. Teaching: She coordinates modules such as 'Carbon & Sustainability,' 'Soil Technology,' and 'Research Skills,' emphasizing agricultural systems and climate-smart practices. Awards: Recognized as an Ad Astra Fellow, highlighting her contributions to innovative soil science research.

Laura M. Stapletonمشاهده پروفایل

استاد

• Multilevel Modeling
• Survey Methodology
• Educational Statistics
• +۳ مورد دیگر

Laura M. Stapleton is Chair of the Department of Human Development and Quantitative Methodology and a Professor at the University of Maryland’s College of Education. She previously served as Interim Dean and Associate Dean for Research, Innovation, and Partnerships. Her academic roles include leadership in the NSF-funded Quantitative Research Methods Scholars Program (2019–2025) and membership on Maryland’s Accountability and Implementation Board for education reform. Education Background: Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland. Prior to academia, she worked as an economist at the Bureau of Labor Statistics and in educational research roles at the American Association of State Colleges and Universities and the University of Maryland’s institutional research department. Research focuses on complex survey data analysis, multilevel latent variable models, and mediation testing. Key interests include administrative data utilization, STEM education equity, and policy evaluation. Her work emphasizes bridging statistical rigor with practical educational challenges. Publications span methodological advancements in multilevel modeling, synthetic data strategies, and the integration of administrative datasets. Recent work addresses school-based prevention study attrition and the design effects of multilevel samples. Awards include AERA Fellowship (2023), election as President of the Society for Multivariate Experimental Psychology (2025), and recognition for mentoring and teaching excellence. She has led over $10M in grants, including NSF-funded initiatives to train early-career STEM equity researchers. Current projects include the BCSER Quantitative Research Methods Program (2022–2025) and collaborations on arts education impacts and intergroup relationship interventions. She advises on state-level longitudinal data systems and chairs the Maryland State Longitudinal Data System Center’s Research Branch (2013–2018).

John Di Bartoloمشاهده پروفایل

استاد

• Type-II superconductors
• Educational software development
• Mechanics of articulated figures
• +۳ مورد دیگر

John Di Bartolo is an Industry Professor and Department Chair of Applied Physics at New York University Tandon School of Engineering , with a career spanning computational physics, sports biomechanics, and educational software development. His work bridges theoretical physics with practical applications in technology and pedagogy. Bachelor of Arts in Mathematics, Boston College (1991) Master of Science in Physics, Boston College (1993) Doctor of Philosophy in Physics, University of Virginia (1997) Research interests include Type-II superconductors , physics of sports , and innovative educational software like Physics of Sports 3.0 and Quantum Sandbox . He has pioneered computational methods in teaching and developed interactive tools for optics and quantum mechanics. His publications span from superconductivity studies in Physical Review B to cutting-edge educational software. Notable awards include the 2013 Distinguished Teacher Award . He has presented at conferences including AAPT Summer Meetings and NYU-Poly Research Expo, and featured in media outlets like WIRED Magazine and Science Channel.