جست‌وجوی استاد و پژوهشگر

Ingrid Bauer-Hänselمشاهده پروفایل

استادیار

• Blockchain Applications
• Data Markets and Platforms
• Agile IT Management
• +۳ مورد دیگر

Ingrid Bauer-Hänsel is an Assistant Professor of IT Management at the University of St. Gallen (HSG), affiliated with the Information Management (IWI-HSG) department. Her academic career includes roles as a Senior Technology Manager at Chage:ON (AMAG Group) and a doctoral researcher at the University of Zurich. She holds a Ph.D. in Blockchain Information Systems from the University of Zurich and a M.Sc. in Business Administration and Information Systems from Copenhagen Business School. Her research focuses on blockchain technologies, data markets, agile IT systems, and interorganizational systems design. Notable projects include the InnoSuisse Cardossier Project and studies on blockchain consortia. Bauer-Hänsel teaches courses such as Agile IT and Organization , Information Management , and Business Informatics 1 at both bachelor and master levels. She received the 2018 2nd Runner-up Best Paper Award at the ICIS conference. Her work explores socio-technical systems, tokenization, and AI-driven business models, with a particular emphasis on automotive and financial sectors. Current initiatives include designing blockchain-based data markets and exploring generative AI’s impact on knowledge work. Bauer-Hänsel’s professional background includes IT consulting at PwC, risk management roles at Danske Bank, and academic research at IBM and the Karlsruhe Institute of Technology. She actively contributes to bridging academic research with industry applications through collaborative projects and advisory roles.

Ricardo A. Calixمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing
• Deep Learning
• +۴ مورد دیگر

Ricardo A. Calix is a Professor of Computer Information Technology at Purdue University Northwest. His research focuses on Machine Learning, Natural Language Processing, AI applications in Cyber Security and Healthcare, and Deep Learning methodologies. He holds a Ph.D. in Engineering Science from Louisiana State University. Key research areas include ethical AI model analysis, reinforcement learning for aerospace control systems, and industrial automation through machine learning. His work spans cybersecurity tools (e.g., CyberSecTK) and healthcare data mining from social media. Calix has secured grants as PI/Co-PI for projects like 'Detection of Potential Drug Effects from Twitter Data' (NIH) and 'A Smart and Fast IDS' (Northrop Grumman). He authored Getting Started with Deep Learning: Programming and Methodologies Using Python (2017). Recent publications (2023-2024) address biases in AI models, blast furnace automation, and autonomous aircraft control via reinforcement learning. His work bridges theoretical AI with practical applications in industry and security.

Niko Mäkitaloمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• AI/ML Software Engineering
• IoT Architectures
• +۳ مورد دیگر

Niko Mäkitalo is an Assistant Professor at the University of Jyväskylä's Faculty of Information Technology and a member of the University Consortium Chydenius. His research focuses on advancing cyber-physical systems through innovative software architectures for AI, IoT, and the Cloud-Edge Continuum, with significant emphasis on hardware and network infrastructures. He teaches and mentors graduate students in these areas. Research Interests: Mäkitalo's work centers on creating intelligent environments via novel software frameworks, engineering methodologies for distributed AI/ML applications, and addressing ethical/privacy challenges in edge computing. He explores the intersection of agile development practices, third-party code management, and industry standards like IDSA/GAIA-X for AI integration. Key Contributions: His recent work includes studies on software ownership dynamics, regulatory-aware AI deployment, and liquid AI systems. He leads the Empirical Software Engineering Research group and collaborates on initiatives like 6GSoft for edge-cloud software solutions. Advising & Grants: Mäkitalo supervises Master's and Ph.D. candidates in software engineering and systems architecture. His projects often involve industry partnerships to address real-world challenges in smart manufacturing, autonomous systems, and networked environments. Labs/Teams: Active in the Empirical Software Engineering Research group, contributing to cross-disciplinary projects at the University of Jyväskylä's tech innovation ecosystem.

August Blackمشاهده پروفایل

استادیار

• Philosophy of Technology
• Software Studies
• Techno-Politics
• +۶ مورد دیگر

August Black is an Assistant Professor in the Department of Critical Media Practices at the University of Colorado Boulder. As a hybrid practitioner of art, design, and engineering, he creates experimental spatial and acoustic systems by building custom technological artifacts. His work critically engages techno-social systems through live networked audio, user-generated content, and immersive installations. BFA, Syracuse University MS & PhD, UC Santa Barbara (NSF IGERT Fellow) His research explores the intersection of philosophy of technology, software studies, and AI ethics. Current projects investigate global networking for hyper-local communication, while past work includes networked radio systems and generative audio-visual platforms. He has taught at UC Santa Barbara, University of San Francisco, and CU Boulder. Recent projects include Pulse Memorial (2024), a mobile multichannel memorial system, and Audio Compost (2022), a virtual frippertronic loop project. His work often incorporates WebRTC, FM radio integration, and participatory frameworks across digital and physical environments. NSF IGERT Fellow Black has advised PhD candidate Nima Bahrehmand and collaborated with institutions like ORF Kunstradio, Ars Electronica Futurelab, and Cycling '74. His practice includes software development (janode library for Janus WebRTC), hardware engineering, and exhibitions at festivals including Ars Electronica and SIGGRAPH.

Ilker Hacihalilogluمشاهده پروفایل

دانشیار

• Artificial Intelligence in Healthcare
• Medical Image Processing
• Machine Learning Applications
• +۸ مورد دیگر

Dr. Ilker Hacihaliloglu is an Associate Professor in the Department of Radiology and Medicine at the University of British Columbia's Faculty of Medicine. He holds a PhD from UBC (2010) and has held faculty positions at Rutgers University (2014-2021). His research focuses on applying machine learning to medical imaging, aiming to bridge clinical and engineering research for practical healthcare solutions. Key areas include AI-driven diagnostics, ultrasound imaging, and personalized medicine. Education: B.Sc. and M.Sc., Istanbul Technical University (2001, 2004) Ph.D., University of British Columbia (2010) Postdoctoral Fellow, Vancouver General Hospital (2010-2013) Research Interests: Artificial Intelligence in Medical Imaging Ultrasound-Based Diagnostics Image-Guided Surgery Computer-Aided Diagnostics for Orthopedics and Neurosurgery His work emphasizes explainable AI, standardization in machine learning metrics, and clinical translation of technologies. Scientific Contributions: Over 35 peer-reviewed articles (2019-2025) highlight innovations in medical image segmentation, AI-driven radiomics, and cross-modality imaging. Recent trends focus on synthetic data augmentation, diffusion models for medical imaging, and curriculum development in AI for healthcare. Grants and Advising: No explicit grants mentioned, but active mentorship in interdisciplinary research teams. Collaborations span clinicians, engineers, and computer scientists to address real-world healthcare challenges. Labs/Teams: Engaged in computational ultrasound and AI-driven diagnostics initiatives, though specific lab names are not provided in the text.

Anjali Sandipمشاهده پروفایل

عضو هیئت علمی

• Computational Mechanics
• High-Performance Computing
• Machine Learning
• +۵ مورد دیگر

Anjali Sandip is a Teaching Assistant Professor in the Mechanical Engineering Department at the University of North Dakota's College of Engineering and Mines. She holds a Ph.D. in Mechanical Engineering from the University of Kansas and maintains an active research program in computational mechanics, high-performance computing, and machine learning. Her educational background includes a Doctor of Philosophy and Master of Science in Mechanical Engineering from the University of Kansas, and a Bachelor of Engineering in Mechanical Engineering from Osmania University in Hyderabad, India. She previously served as a post-doctoral researcher at the University of Nebraska, where she developed patient-specific computational models for peripheral artery disease treatment. Dr. Sandip's research spans computational mechanics, high-performance computing, uncertainty quantification, physics-informed machine learning, and multi-physics modeling. Her work has significant applications in ice sheet dynamics, medical device modeling, and multi-phase flow simulations. She has developed open-source software frameworks that integrate finite element and finite volume methods with uncertainty quantification tools. Her recent publications demonstrate a strong focus on developing computational frameworks for multi-physics problems, with particular emphasis on GPU acceleration, uncertainty quantification, and machine learning integration. The research shows consistent application of these methods to challenging problems in earth sciences, biomedical engineering, and traditional mechanical engineering domains. Scientific Awards: NSF EPSCoR Research Fellow (2024-25) Dr. Sandip actively mentors both undergraduate and graduate researchers, and she is currently seeking Master's and Ph.D. students interested in computational mechanics, applied mathematics, scientific machine learning, and earth sciences. She serves as an active member of the Association of Computational Mechanics (USACM & IACM) and has delivered numerous presentations at professional conferences. Her research has received support from prestigious organizations including the National Science Foundation (NSF), Department of Energy (DOE), and NVIDIA. She teaches courses including Introduction to Mechanical Engineering, Thermodynamics, Machine Component Design Laboratory, Advanced Finite Element Methods, Modeling Glaciers and Ice Sheets, Statics, and Engineering Ethics, demonstrating her broad expertise across mechanical engineering disciplines.

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +۴ مورد دیگر

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.

• Human-Computer Interaction
• Personalized User Interfaces
• Universal Usability
• +۴ مورد دیگر

Joanna McGrenere is a Professor in the Department of Computer Science at the University of British Columbia . Her research focuses on Human-Computer Interaction , Personalized User Interfaces , and Universal Usability , particularly for older adults and users with aphasia . She has extensively published on cross-device learnability , collaborative environments , and adaptive interface design . Research Interests: Human-Computer Interaction Personalized User Interfaces Universal Usability Interactive Technologies for Aging Populations Recent Publications address: real-time feedback in online meetings (2025), AI support for interviews (2025), financial technology for older adults (2025), ambient social systems (2025), computer-mediated self-disclosure (2025), digital home health assessments (2024), and intergenerational VR communication (2024). Key trends show increasing focus on age-inclusive design , context-aware interfaces , and interruption management . Collaborations include: Leah Findlater (University of Washington), Andrea Bunt (University of Manitoba), Karyn Moffatt (McGill University), and Kellogg S. Booth (University of British Columbia). Her work appears in journals like ACM Transactions on Accessible Computing and International Journal of Human-Computer Studies .

Noortje Venhuizenمشاهده پروفایل

استادیار

• Computational Semantics
• Discourse Processing
• Language Comprehension
• +۳ مورد دیگر

Noortje Venhuizen is an Assistant Professor in the Department of Cognitive Science and Artificial Intelligence at the Tilburg School of Humanities and Digital Sciences, Tilburg University. She serves as Academic Director for the BSc Cognitive Science and Artificial Intelligence program since 2024, and has held academic positions at Saarland University (2015-2022) including roles as Scientific Staff member and Principal Investigator in SFB 1102 projects. PhD in Computational Semantics (University of Groningen, 2015) MSc in Logic (ILLC, University of Amsterdam, 2011) BSc in Artificial Intelligence (Utrecht University, 2009) Her research focuses on expectation-based language comprehension, neurocomputational modeling of semantic processing, distributional formal semantics, and pragmatic reasoning in discourse. Key contributions include PDRT-SANDBOX (Haskell NLP library) and DFS Tools (Prolog implementation of distributional formal semantics). Recent publications (2023-2025) explore multimodal word meaning, informativity in reference production, and neurocognitive models of surprisal processing. Her work combines formal semantics with cognitive neuroscience and computational modeling. LOT Grotevragenprijs essay contest - Second Prize She has presented research at major conferences including CogSci, AMLaP, and Sinn und Bedeutung. Current teaching includes courses on artificial intelligence, statistics, and semantic theory.

• Mathematics of Voting and Choice
• Algebraic Geometry
• Representation Theory
• +۱۵ مورد دیگر

Karl-Dieter Crisman is Professor of Mathematics and Computer Science at Gordon College, where he also serves as Campus Organist. He is affiliated with the School of Science and Health and the Herschend School of Education. His academic work bridges pure mathematics, pedagogy, and interdisciplinary scholarship. Education: PhD in Mathematics, University of Chicago; M.Mus., Roosevelt University; Undergraduate, Northwestern University. Research: Focuses on the mathematics of voting and choice, algebraic geometry (especially zero-cycles and hyperplane arrangements), representation theory in social choice, and the history of mathematics (notably Marin Mersenne). Open Source & Education: Lead developer and author of the open textbook Number Theory: In Context and Interactive , widely used and praised. Active contributor to SageMath and PreTeXt projects. His research in voting theory explores generalized voting procedures on posets and cyclic orders, often using representation-theoretic techniques. His pedagogical scholarship promotes inquiry-based learning, service-learning, and technology integration, particularly through Sage cells. He has written extensively on the connections between mathematics, music, and theology. He has been recognized with the 2024 MAA Northeastern Section Award for Distinguished Teaching. He serves as Vice Chair (and future Chair) of the MAA Northeastern Section and was Associate Editor for PRIMUS. Professional Service: Organizes the Gordon Math Forum, Faculty Forum colloquium, and the North Shore Undergraduate Mathematics Conference; previously chaired the Pike Honors Program. Advising: Mentors undergraduate research in voting theory, algebra, topology, and the history of mathematics. Grants: Received support from the American Institute of Mathematics' SQuaREs program for collaborative research. He frequently gives talks on voting theory, SageMath, open textbooks, and the life of Marin Mersenne.

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +۱۲ مورد دیگر

Felix Urs Erich Freitag is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, where he actively contributes to projects in cloud computing, peer-to-peer systems, and IoT networking. His primary research interests include Cloud Computing , Peer-to-Peer (P2P) Systems , Internet of Things (IoT) , LoRa Mesh Networks , Federated Learning , Edge Computing , and Blockchain for IoT . His work spans from fundamental networking protocols to applied research on decentralized systems and sustainable digital technologies. He has also contributed to educational innovation through open project-based learning methodologies. Dr. Freitag's recent publications highlight a strong focus on integrating AI with low-power IoT networks, particularly using LoRa technology for federated learning and secure, decentralized identity solutions. His work demonstrates a clear trend towards enabling intelligent, trustworthy, and resource-efficient distributed systems at the network edge. Scientific Awards: 1er Premi UPC de Ciència Oberta 2024 He has been involved in significant research and innovation projects, including European H2020 and Horizon Europe initiatives, often in collaboration with colleagues like Leandro Navarro and Roque Meseguer. His research is supported by competitive grants focused on digital, industry, and space technologies. He also contributes to educational innovation projects and has supervised student theses, fostering a collaborative research environment within the UPC. His work is associated with the development of experimental testbeds and software libraries for LoRa mesh networks and federated learning, indicating a hands-on approach to building and validating distributed systems.

Sean Hansenمشاهده پروفایل

استاد

• Software Design and Development
• Health IT
• IT Strategy
• +۵ مورد دیگر

Sean Hansen is a Professor of Management Information Systems (MIS) and Department Chair of MIS, Marketing, & Analytics at Rochester Institute of Technology's (RIT) Saunders College of Business. He holds a PhD from Case Western Reserve University and a BA from Harvard University. Education: BA, Harvard University; PhD, Case Western Reserve University Affiliation: Saunders College of Business, RIT His research spans health IT, software design, and the application of cognitive theory to information systems. He has published extensively in journals like MIS Quarterly, Information Systems Research, and Communications of the ACM, focusing on topics such as ethical implications of algorithmic systems, wearable technology, and sociotechnical design in healthcare. Recent work highlights the role of participatory design in healthcare and the ethical challenges of AI-driven decision-making. He was named an inaugural Endowed Professor at RIT in 2024 and has presented research at conferences including ICIS, HICSS, and AMCIS. Scientific Award: Inaugural Endowed Professor, RIT's Saunders College of Business (2024) Research Trends: Health IT, ethical AI, collaborative software development, wearable tech, and EHR systems Sean's teaching includes courses on systems design, business analytics, and qualitative research methods, emphasizing practical application in complex organizational contexts.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +۱۲ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Computer Science
• Education Technology
• Sustainable Engineering
• +۵ مورد دیگر

Dr. George Dafoulas is a Professor & Director of Programmes in Computer Science at Middlesex University. His research focuses on IoT applications in healthcare, sustainable engineering, learning analytics, and global software development. He has authored over 180 publications and contributed to projects on smart technologies, virtual learning environments, and digital inclusion. His research explores IoT wearables for child health monitoring , sustainable building systems , and AI-driven educational tools . Recent work includes studies on digital poverty in the UK and mobile government services in Egypt. He actively collaborates across disciplines, addressing challenges in distributed software teams and virtual collaboration. Dr. Dafoulas has directed projects like the Skills and Education Planning Tool and contributed to frameworks for assessing electronic government readiness. His work bridges technology and pedagogy, emphasizing ethical AI, sustainable design, and inclusive digital practices.

• Natural Language Generation
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Dr Yaji Sripada is a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen. His research integrates artificial intelligence, machine learning, natural language generation (NLG), and information visualization to enhance human-machine communication, particularly in automating data science workflows and ensuring model transparency. His research interests are centered on Natural Language Generation , Explainable AI , Human-Computer Interaction , and Fairness, Accountability, and Transparency in AI . He has pioneered work in generating textual summaries from complex data, especially in healthcare and environmental monitoring. His research bridges technical AI development with real-world applications in public transport, neonatal care, and digital governance. His recent publications (2023–2025) reflect a strong trend towards AI ethics , regulatory policy , and the integration of large language models (LLMs) in public infrastructure and automated verification. He also holds multiple patents in NLG and data processing technologies, underscoring his translational research impact. Dr Sripada is a co-founder of Arria NLG, a leading company in data-to-text technology, and has advised numerous researchers and students in AI and NLG. His collaborative work spans disciplines including computer science, environmental science, transportation, and law. He has contributed to policy discussions on AI regulation and copyright, demonstrating engagement with societal implications of AI. His work on bias amplification in generative AI highlights his commitment to responsible innovation. His research has been applied in diverse domains, including neonatal intensive care (e.g., BT-Nurse system), rural transport systems (e.g., TravelBot), and environmental data communication (e.g., river level reporting). He continues to lead innovative projects at the intersection of AI, data science, and human-centered design.