جست‌وجوی استاد و پژوهشگر

• Digital Media Studies
• Digital Platforms
• Journalism Studies
• +۷ مورد دیگر

Ceren Saran Doğan is an Assistant Professor at the Faculty of Communication , Uskudar University , specializing in Radio, Television and Cinema . Her academic background includes a PhD (2022), MA (2015), and BA (2009) in Media and Communication Studies from Galatasaray University and Journalism from Istanbul University. Education: BSc in Journalism (Istanbul University, 2009) MSc in Media and Communication Studies (Galatasaray University, 2015) PhD in Media and Communication Studies (Galatasaray University, 2022) Her research focuses on the political economy of media , critical digital media studies , algorithms in journalism , and digital platform dynamics . She has published extensively on topics like algorithmic bias, media ownership, and digital inequalities, with notable works including the 2024 book chapter Reasons for News Avoidance on Mobile News Consumption and the 2022 book chapter Algorithms and Audience Monitoring in Newsrooms . Her recent 2023-2025 publications analyze digital platform trust , AI integration in newsrooms , and platform capitalism , reflecting her expertise in algorithmic systems and media sociology. She also serves as Vice Dean and chairs multiple committees at Uskudar University, including Social Media Commission and Curriculum Development Commission . She teaches courses like Digital Content Production and Graduation Project II .

Katy Ilonka Geroمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Creativity
• Writing Technologies
• +۶ مورد دیگر

Katy Ilonka Gero is a Lecturer at the School of Computer Science, University of Sydney , with prior postdoctoral roles at Harvard University and the Library Innovation Lab. She holds a PhD in Computer Science from Columbia University (2022) and a BS in Mechanical Engineering from MIT (2017). Education : PhD in Computer Science (Columbia University, 2022); BS in Mechanical Engineering (MIT, 2017) Her research focuses on Human-Computer Interaction in creative domains, particularly how language models impact creative practice, ownership, and learning . She develops community-driven AI models through co-design with creative communities and investigates ethical data governance practices. Recent work includes designing interactive writing tools for metaphor creation and exploring the social dynamics of AI support in writing . The 15 most recent articles reflect trends in AI-augmented creativity (Metaphoria, CHI 2019), AI ethics (Nature Machine Intelligence 2023), and human-AI collaboration (CHI 2020 Best Paper). These works span language model evaluation , creative ownership , and technical innovations in soft robotics (2012) and science communication (2021). Scientific Awards : NSF Graduate Research Fellowship Brown Institute for Media Innovation Grant Amazon Research Award Best Paper - CHI 2025 Honorable Mention - CHI 2024 Best Paper - CHI 2020 As a poet and essayist , she co-edits Ensemble Park , a human-computer co-writing magazine, and authored the dynamic poetry book The Anxiety of Conception (2025). Her grants include support from the National Science Foundation , Brown Institute , and Amazon . For technical details, visit her personal website or GitHub.

• Information Retrieval Systems
• Machine Learning
• Data Mining
• +۱ مورد دیگر

Assoc. Prof. Dr. Yıltan Bitirim is a faculty member at the Computer Engineering Department of Eastern Mediterranean University in North Cyprus. With over two decades of academic experience, he has served in various roles including Vice Chair (2014-2022), Academic Affairs Coordinator (2025-), and committee member for ABET assessment, curriculum development, and faculty recruitment. Current academic rank: Associate Professor Active administrative roles: Senate Member (2023-), Information Technology Commission Member (2023-) Professional memberships: ACM, IEEE Senior Member, Cyprus Turkish Chamber of Computer Engineers Research Interests focus on four primary areas: Information Retrieval Systems – evaluating search engine effectiveness and reverse image search performance Machine Learning – applied to emotion classification, gender recognition, and medical diagnosis Data Mining – used in Turkish word-stemming analysis and user behavior studies Biometrics – specializing in hand/wrist/palm vein recognition systems and voice-based identification Publications demonstrate consistent contributions across disciplines, with recent works (2023-2025) emphasizing: Deep learning applications in biometric authentication Advanced emotion recognition systems Medical AI for diabetes management and retinopathy diagnosis Biometric spoof detection mechanisms Turkish language processing challenges Recommendation system innovations Awards & Recognition : Research Incentive Awards (2020, 2021) Best Paper Award at ICIW 2007 IEEE Senior Member status As an educator, he has supervised numerous thesis committees and taught foundational courses in computer engineering, including CMPE 112 and CMPE 342. His certifications (MCTS, MCITP) reflect technical expertise in Microsoft technologies.

Orit Shaerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Human-AI Collaboration
• Tangible and Embodied Interaction
• +۵ مورد دیگر

Orit Shaer is a Professor and co-Chair of Computer Science at Wellesley College , where she founded and directs the Human-Computer Interaction (HCI) Lab . Her work bridges tangible interaction, human-AI collaboration, and mixed-reality interfaces, focusing on transforming work and learning environments through embodied technologies. Education : B.A. from Academic College of Tel-Aviv, M.S. and Ph.D. in Computer Science from Tufts University Research interests center on novel human-computer interaction paradigms : Human-AI collaboration frameworks Tangible and embodied interface design Mixed-reality applications for productivity Genomics collaboration tools STEAM education technologies Recent publications highlight human-AI co-creation (CHI 2024), temporal dynamics in automated work (CHIWork 2024), and pandemic-era remote interaction studies (IEEE Pervasive Computing 2021). Awarded: NSF CAREER Award Agilent Technologies Research Award Google App Engine Education Award Pinanski Prize for Excellent Teaching Best Paper Honorable Mention (ACM CHI 2014) Honorable Mention (CHIWork 2022) She co-founded the international CHIWork Symposium and chairs the ACM TEI conference. Her NSF IRES grant (2022) supports US-German collaboration on human-automation interaction.

Kristin Braaمشاهده پروفایل

استاد

• Mobile Health (mHealth)
• Health Information Systems
• Action Research Methods
• +۳ مورد دیگر

Kristin Braa is a Professor at the Department of Informatics, University of Oslo, and serves as Director of the HISP Center. Her career includes an 8-year tenure as Research Director at Telenor, where she established a Research and Innovation Center in Malaysia. Academic Roles: Vice Head of Department of Informatics, head of Information Systems (IS) research group Research Focus: Mobile extensions of open-source DHIS2 software for low-resource settings, action research methods, sustainable health information systems Research Themes: She investigates innovative approaches to support rural healthcare workers and underserved populations, emphasizing long-term engagement in national health systems. Her projects include MobiHealth (2010–2014) and NORAD-funded initiatives (2010–2014) for health information systems in developing countries. Scientific Awards: 2023 AIS Impact Award (with Jørn Braa) 2020 Roux Prize (with Jørn Braa) 2013 University of Oslo Innovation Prize 2013 Researcher of the Year (Faculty of Mathematics and Natural Sciences, UiO) 2011 ICT and Energy Researcher of the Year 2011 Rosing Prize Finalist for rural Bangladesh health initiative Collaborations: Active in the IS research group and Climate Health Network. She advocates for sustainable, community-empowering information systems through participatory design and sociotechnical approaches.

Nadine Scholtenمشاهده پروفایل

استاد

• Organizational health services research
• Implementation of innovations in healthcare
• Patient and provider perspectives in care
• +۳ مورد دیگر

Prof. Dr. Nadine Scholten is a faculty member at the University Hospital Bonn , leading the Health Communication and Health Services Research (CHSR) center since 2024. She works within the Clinic for Psychosomatic Medicine and Psychotherapy under Prof. Geiser, affiliated with the Medical Faculty of the University of Cologne , where she earned her doctorate and habilitation and leads the LiVe working group . Research focus: Organizational health services research in hospital settings, implementation of therapies/innovations, secondary data analysis, patient/provider perspectives, cross-sectoral healthcare coordination, and regional health services. Current projects include Neo-Milk (donor milk banks in NICUs), Neo-CamCare (webcam use in NICUs), CoRe-Net (regional health development), and studies on outpatient antimicrobial therapy and pandemic impacts on healthcare. Teaching: Leads health communication skills training in medicine. Memberships: DNVF e.V., DGMS, AGENS (secondary data working group). Recent article trends: Focus on data linkage, patient experience, pandemic-era care adaptations, and cross-sectoral healthcare integration, with methodologies spanning qualitative/quantitative analysis of routine data (statutory insurance, DRG statistics).

Sameer Nathمشاهده پروفایل

دانشیار

• Radiation Oncology
• Prostate Cancer
• Lung Cancer
• +۳ مورد دیگر

Sameer Nath, MD, is an Associate Professor in the Department of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. He holds leadership roles as Vice Chair of Clinical Affairs, Clinical Practice Director at Anschutz Medical Campus, and Medical Director of Radiation Oncology at Highlands Ranch Hospital. Dr. Nath is board-certified in Radiation Oncology and practices at UCHealth Radiation Oncology and Rocky Mountain Gamma Knife Center. MD: University of California, San Diego School of Medicine (2010) Internship: University of California, San Diego (2011) Residency: Yale-New Haven Medical Center, Chief Resident in Radiation Oncology (2015) His research focuses on radiation therapy applications for prostate and lung cancers, brain metastases management, and immunotherapy-radiation combinations. He has pioneered work in stereotactic body radiation therapy (SBRT), tumor hypoxia, radiation pneumonitis prevention, and medical imaging innovations for treatment planning. Recent publications examine oligoprogressive prostate cancer management, radiation oncology nurse education, and deep learning applications in patient positioning. Dr. Nath's 15 most recent publications (2024-2017) demonstrate expertise in prostate cancer (4 articles), lung cancer (4 articles), brain metastases (4 articles), and medical imaging/education (3 articles). Key research themes include SBRT optimization, immunotherapy response monitoring, and radiation toxicity management. American Society of Radiation Oncology (ASTRO) Member Practice locations: UCHealth Radiation Oncology - Anschutz Medical Campus (Aurora, CO) and Rocky Mountain Gamma Knife Center - Anschutz Medical Campus (Aurora, CO) Hospital affiliations: UCHealth Highlands Ranch Hospital and University of Colorado Hospital

Lars Grunskeمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Model Checking
• +۵ مورد دیگر

Lars Grunske is a Professor at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin. His research focuses on software and systems engineering, safety-critical systems, and software evolution. Department: Computer Science University: Humboldt University of Berlin Academic Rank: Professor His work spans automated software analysis, probabilistic model checking, and formal methods for complex systems. Key collaborations include researchers from Swinburne University, University of Hull, and University of Queensland. Recent publications address research software engineering, program repair, and explainability in cyberphysical systems. Professional roles include leadership in examination boards and program committees for conferences like ICSE and ASE. Contact info: Email: grunskel@hu-berlin.de Phone: +49 30 2093-41142 Address: Unter den Linden 6, Berlin

Navid Farajiمشاهده پروفایل

استادیار

• Radiology Education
• Musculoskeletal Imaging
• Medical Imaging
• +۴ مورد دیگر

Navid Faraji, MD is an Assistant Professor in both the Department of Radiology and Department of Anatomy at Case Western Reserve University School of Medicine. He also serves as Associate Program Director for the Diagnostic Radiology Residency at UH Cleveland Medical Center, where he actively mentors medical students and residents in radiology research initiatives. University: Case Western Reserve University School: School of Medicine Departments: Radiology, Anatomy Academic Rank: Assistant Professor Email: navid.faraji@uhhospitals.org His research spans two primary domains: Radiology Education and Musculoskeletal Imaging . Recent publications demonstrate expertise in: Educational technology integration (e.g., Anki flashcards) Emergency fracture detection tool validation Bone marrow edema patterns in athletes/military trainees Gender equity initiatives in radiology pipeline AI-human collaboration in diagnostic imaging Cross-modality image registration techniques Scientific accolades include the Wei-Shen Chin Award for Medical Student Teaching (2022) . His 2023-2025 publications focus on optimizing radiology workflows, ballet dancer injuries, and incidental lesion analysis, with emerging themes in synthetic imaging and psychological safety frameworks.

Sushil Prasadمشاهده پروفایل

استاد

• Data Intensive Computing
• Energy-Efficient Deep Learning
• Parallel Algorithms
• +۳ مورد دیگر

Sushil Prasad is a Professor of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His research focuses on data-intensive computing, energy-efficient deep learning models, parallel algorithms, and high-performance software systems. He holds a Ph.D. from the University of Central Florida, an M.S. from Washington State University, and a B.Tech. from the Indian Institute of Technology, Kharagpur. His work emphasizes integrating parallel and distributed computing into early computer science curricula. Key research interests include geospatial data analysis using ICESat-2 and Sentinel-2 imagery, edge device-optimized neural networks, and scalable polygon processing algorithms. He has contributed to frameworks like MPI-GIS and Crayons for high-performance geospatial computing. His educational initiatives include NSF-funded curriculum modernization efforts in parallel computing education. Recent work trends show a focus on climate science applications (e.g., polar sea ice classification), energy-efficient AI, and GPU/OpenMP parallelization. He has organized workshops like EduHPC and EduPar to advance HPC education strategies. Notable recognition includes the TCPP Outstanding Service Award (2012). His projects span cloud-based GIS systems, distributed ML training, and big spatial data processing. Collaborations include NSF-funded research on colocation mining, trajectory analysis, and curriculum development for undergraduate HPC education.

Steven Shechterمشاهده پروفایل

استاد

• Stochastic Optimization
• Simulation
• Medical Decision Making
• +۳ مورد دیگر

Steven Shechter is a Professor of Business Administration and holds the WJ VanDusen Chair in the Operations and Logistics Division at the University of British Columbia's Sauder School of Business. He holds a BS in Mathematics from Loyola University Chicago, an MS in Operations Research from Georgia Tech, and a PhD in Industrial Engineering from the University of Pittsburgh. His research focuses on stochastic optimization, simulation methodologies, and healthcare operations, with particular emphasis on medical decision-making and healthcare system efficiency. His academic contributions include groundbreaking work in multi-objective optimization (e.g., electoral apportionment models), patient monitoring systems, and surgical capacity allocation. He teaches advanced decision modeling courses to MBA and MBAN students, including Simulation Modeling and Optimal Decision Making modules. Key research trends in his work include applying stochastic processes to healthcare challenges (e.g., alarm fatigue management in patient monitoring systems), optimizing surgical workflows, and developing adaptive treatment protocols using Bayesian methods. His recent studies address pressing issues like kidney transplantation decision models and pediatrician scheduling in healthcare facilities. While no formal awards are listed, his extensive publication record reflects sustained impact in operations research and healthcare analytics. His work often bridges theoretical models with practical healthcare applications, emphasizing system efficiency and patient-centered outcomes.

Brian M. Kleinerمشاهده پروفایل

استاد

• Human Factors Engineering and Ergonomics
• Macroergonomics
• Construction Safety
• +۵ مورد دیگر

Brian M. Kleiner is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech and serves as Director of the Myers-Lawson School of Construction, a joint venture between the Colleges of Engineering and Architecture and Urban Studies. He holds the Ralph H. Bogle Professorship and has been recognized with numerous awards for teaching, research, and leadership. Dr. Kleiner’s education includes a Ph.D. (1990), M.S.I.E. (1983), and B.A. (1981) from the State University of New York at Buffalo. His professional history spans over 30 years at Virginia Tech, where he has led initiatives in macroergonomics, construction safety, and socio-technical systems. His research focuses on human factors engineering, macroergonomics, and work system design, with emphasis on construction safety, healthcare systems, and organizational resilience. He directs the Macroergonomics and Group Decision Systems Laboratory and co-founded the Center for Innovation in Construction Safety and Health Research. Notable achievements include pioneering studies on safety climate in construction supply chains, electrical hazard prevention, and human-centered smart housing design. His work has been supported by federal grants and industry partnerships, addressing critical challenges in occupational safety and health. Awards highlight his contributions to teaching, including multiple Paul E. Torgersen Awards, and leadership, such as the Distinguished Professor Award from the Construction Industry Institute. He actively serves on national advisory boards, including the National Occupational Research Agenda (NORA) and the Human Factors and Ergonomics Society.

Egil Øvrelidمشاهده پروفایل

دانشیار

• Digital Innovation
• Healthcare Information Systems
• IT Architecture
• +۳ مورد دیگر

Egil Øvrelid is an Associate Professor at the Department of Informatics (IFI), University of Oslo, affiliated with the Digital Innovation (DIN) research group. His work focuses on digital infrastructures, healthcare IT systems, and sociotechnical interplay in organizational innovation. He explores topics such as digital transformation, process innovation, and platform ecosystems in healthcare and higher education contexts. His research emphasizes the alignment of digital strategies with organizational practices, particularly in large-scale infrastructures. Key areas include lightweight IT solutions for process innovation, architectural transformation in incumbent organizations, and governance mechanisms in collaborative platforms. He has contributed to frameworks like 'dual digitalization' and 'adaptive mirroring' in healthcare IT architectures. Notable projects include the TSD platform for sensitive data research and studies on national digital ecosystems like Norway’s one-citizen-one-health-record initiative. His work bridges theory and practice, often collaborating with healthcare and educational institutions to address real-world challenges in digital innovation. Research Groups: Digital Innovation (DIN) Key Themes: Sociotechnical systems, digital transformation, healthcare IT, process innovation, platform ecosystems

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Rohan Alexanderمشاهده پروفایل

استادیار

• Quantitative Social Science
• Bayesian Methods
• Text as Data
• +۴ مورد دیگر

Rohan Alexander is an Assistant Professor jointly appointed in the Faculty of Information and the Department of Statistical Sciences at the University of Toronto. His research focuses on improving the trustworthiness of data science through rigorous workflows, including reproducibility and bias mitigation. He co-founded The Data Workshop, a platform for data science best practices, and authored Telling Stories With Data , a book emphasizing reproducible methods. Rohan holds a PhD in Economics from the Australian National University, specializing in economic history. Rohan’s academic roles include Assistant Director of CANSSI Ontario and Senior Fellow at Massey College. His teaching includes courses like Experimental Design for Data Science and Worlds Become Data . He actively contributes to interdisciplinary initiatives like the Schwartz Reisman Institute for Technology and Society. His research interests span quantitative social science, Bayesian methods, text analysis, and computational reproducibility. He emphasizes code transparency and testing in data science projects. Rohan’s work addresses challenges in data measurement, such as systematic missingness, and explores AI’s societal impacts through collaborative projects with academia and industry. Rohan is affiliated with the Data Sciences Institute and leads initiatives on reproducibility. His current supervision includes PhD student Ciara Zogheib. His institutional roles extend to strategic projects like the Climate Positive Energy initiative and School of Cities.