جستجوی استاد راهنمای دانشگاهی

Thanassis Tiropanisمشاهده پروفایل

استاد

• Decentralised information systems
• Decentralised information retrieval
• Data observatories
• +۷ مورد دیگر

Thanassis Tiropanis is a Professor at the University of Southampton's School of Electronics and Computer Science (ECS), specifically within the Web and Internet Science Group. He serves as enterprise champion for ECS and impact champion for computer science. His academic affiliations extend to the Institute for Life Sciences and the Southampton Marine and Maritime Institute, reflecting his interdisciplinary research approach. Professor Tiropanis specializes in decentralised information systems and infrastructures, with research interests spanning decentralised information retrieval, data and web observatories, bias in datasets, inaccessible algorithms, and IoT analytics. His work focuses on the technical and socio-technical aspects of the Web and Internet as evolving socio-technical artifacts, particularly examining how individuals can maintain control over their personal data through decentralised architectures. His recent publications reveal a strong research trajectory in decentralised search technologies, particularly through the ESPRESSO framework for personal online datastores. The publications demonstrate expertise in federated learning, privacy-preserving techniques, and bias detection in machine learning systems. His work bridges theoretical computer science with practical applications in health data, cybersecurity, and social linked data environments. Fellow of BCS Chartered IT professional with BCS Senior member of IEEE Fellow of the Higher Education academy in the UK Member of ACM Member of the Technical Chamber of Greece Professor Tiropanis currently supervises PhD students including Engin Kocak and Wenxuan Huang, while leading active research projects such as ESPRESSO (EPSRC-funded) focused on efficient search over personal repositories. His completed projects include significant EU-funded initiatives like NoBIAS (Artificial Intelligence without Bias) and IoT Lab. He is affiliated with multiple research centers including the Centre for Internet of Things and Pervasive Systems, Centre for Machine Intelligence, and Centre for Digital Finance.

Hironori Washizakiمشاهده پروفایل

استاد

• Systems Engineering
• Software Engineering
• Machine Learning
• +۳ مورد دیگر

Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).

Jan Pennekampمشاهده پروفایل

پژوهشگر

• Industrial Internet of Things (IIoT)
• Security and Privacy
• Privacy Enhancing Technologies (PETs)
• +۸ مورد دیگر

Jan Pennekamp is a postdoctoral researcher at the Chair of Communication and Distributed Systems (COMSYS) within the Department of Computer Science at RWTH Aachen University. He is a member of the Security and Privacy research group and is actively involved in the Cluster of Excellence 'Internet of Production,' where he serves as deputy workstream coordinator. His academic journey includes a B.Sc. and M.Sc. in Computer Science from RWTH Aachen, with exchange studies at Aalto University and an internship at the University of Luxembourg. His research interests center on security and privacy in the Industrial Internet of Things (IIoT), privacy-enhancing technologies (PETs), secure computation, and interdisciplinary applications in healthcare, particularly synthetic data and single-cell genomics. He has led and contributed to numerous research projects, including CALCIPROTECT, RFC, RUST, SUSTAINET-guardian, and SYNCLIVER. His methodological focus includes both technical innovation and rigorous evaluation in real-world scenarios. His recent publications demonstrate a strong trend toward privacy-preserving data sharing in industrial and healthcare contexts, leveraging techniques such as confidential computing, blockchain, and machine learning. His work bridges computer science with industrial engineering and clinical research, emphasizing secure, interoperable, and accountable data ecosystems. Scientific Awards: Klaus Tschira Boost Fund Fellow 2025 Attendee of the 12th Heidelberg Laureate Forum 2025 Young Researcher Award 2022, Cluster of Excellence Internet of Production ICT Young Researcher Award 2021 TDWI Award 2018 (best master thesis) Google Scholarship 2018 Finalist, Artifacts Competition and Impact Award at ACSAC 2022 Outstanding Reviewer Award, TheWebConf/WWW 2024 Jan has advised numerous B.Sc. and M.Sc. theses on topics ranging from privacy-preserving benchmarking to intrusion detection and blockchain-based accountability. He has received research stipends and travel grants from RWC and ACSAC and has held leadership roles in academic service, including organizing conferences and serving on program committees for top venues like IEEE S&P, CCS, and EuroS&P. He is also a Certified ScrumMaster and RWTH Research Manager, reflecting his strong project and team leadership skills. He is actively engaged in interdisciplinary research labs and teams, particularly within the 'Internet of Production' initiative, collaborating with industrial partners and medical researchers to develop secure and privacy-preserving information systems for real-world applications.

Sakthi Balanمشاهده پروفایل

استاد

• Web Science
• Data Analytics
• Social Network Analysis
• +۴ مورد دیگر

Sakthi Balan is a Professor in the Department of Computer Science and Engineering at the School of Engineering, Shiv Nadar University Chennai. His academic work spans Web Science and Data Analytics , focusing on Social Network Analysis , Bias & Privacy in the Web , and Action Recognition in Sports Videos . He actively collaborates with institutions like IIIT Bangalore, as seen in his June-July 2025 research visit to their Web Science Lab. Research Trends: His work bridges computational methods with societal challenges, including epidemiological modeling for information diffusion, privacy implications in web tracking, and sports analytics. Scientific Awards: Senior Member of ACM (2024) Student Advising: Nirmal Kumar Sivaraman (PhD, 2024) on endogenous/exogenous information spread. Arpan Gupta (PhD, 2023) on cricket stroke recognition.

• Digitalisation of Healthcare Services
• Artificial Intelligence in Healthcare
• Wearable Sensors and Monitoring
• +۴ مورد دیگر

Minna Pikkarainen is a Professor at Oslo Metropolitan University, affiliated with both the Faculty of Technology, Art and Design and the Faculty of Health Sciences. Her work focuses on the digitalisation of healthcare services, exploring how technologies like AI, wearable sensors, and digital ecosystems impact healthcare delivery and professions. Research groups: Design for Health Interventions, Interventions in Work and Everyday Life. Ongoing projects include intelligent gamified scoliosis treatment solutions, personalized scoliosis braces with sensors, and implementation of digital health tools in emergency care. Her research spans digital health technology , patient safety in health information exchange , and AI for stroke decision-making . Publications cover topics like AI-driven stroke rehabilitation, co-designed digital solutions for arthroplasty patients, and socio-technical challenges in health data sharing. She collaborates across disciplines to address healthcare transformation through digitalisation.

Maria Kyrariniمشاهده پروفایل

استادیار

• Robot Learning from Human Demonstrations
• Human-Robot Interaction
• Assistive Robotics
• +۳ مورد دیگر

Maria Kyrarini is an Assistant Professor at Santa Clara University's School of Engineering and leads the Human-Machine Interaction & Innovation (HMI 2 ) research group. Her work is supported by federal (NSF) and internal SCU grants. Education: Ph.D. in Electrical Engineering (University of Bremen, 2019), M.Sc. in Automation Systems (NTUA, 2014), M.Eng. in Electrical & Computer Engineering (NTUA, 2012) Her research focuses on Robot Learning from Human Demonstrations , Human-Robot Interaction , and Assistive Robotics , with emphasis on enhancing human performance and cognitive fatigue assessment. Her publications span healthcare robotics, accessible design, and machine learning applications in rehabilitation. Recent articles highlight advancements in robotic nursing assistance , cognitive load assessment , gesture recognition , and multimodal systems for child development studies . Key keywords include Robotics, Machine Learning, and Human-Centered Design. Scientific Awards: NSF DARE Award (PI), David Packard Jr. Faculty Fellowship, multiple SCU Kuehler Undergraduate Research Grants She has secured significant grants for projects like iRCSA (NSF-funded assistive robotics) and Collaborative Assembly (NSF CHS). Her lab explores safe human-robot cooperation, fatigue detection, and personalized assistive systems. She also contributes to educational initiatives in STEM access and K-12 robotics programs.

Annette Molinaroمشاهده پروفایل

استاد پژوهش

• Statistical and Machine Learning Methods
• Cancer Research
• Neuro-Oncology
• +۷ مورد دیگر

Annette Molinaro is a Research Professor at the University of California San Francisco (UCSF) School of Medicine, serving as Director of Biomedical Statistics and Informatics for the Department of Neurological Surgery. She leads biostatistical cores for the Brain SPORE and Program Project, specializing in machine learning and statistical modeling for cancer research, including imaging, genetics, and immunology applications. Education: BS in Statistics from Florida State University, MA/PhD in Biostatistics from UC Berkeley, and National Cancer Institute fellowship in Cancer Prevention. Her research focuses on developing AI-driven risk prediction models for gliomas, analyzing immune profiling, DNA methylation, and high-dimensional data. She has contributed to over 150 publications and created open-source software for genomic data analysis. Recent work highlights applications in glioma subtyping, drug delivery optimization, and equity-focused AI tools. Her grants include NIH funding as co-PI for brain tumor SPORE projects and PI roles in genomic risk prediction studies. Scientific Awards: Evelyn Fix Prize, Chin Long Chiang Biostatistics Student of the Year, Teacher of the Year at Yale, Diane D. Ralston Clinical Neuroscience Teaching Award, and election to the International Statistical Institute. Molinaro co-leads the 'Series on Biostatistics for the Practicing Clinician' in Neuro-Oncology Practice and contributes to diversity initiatives in neuro-oncology, emphasizing equitable research practices.

Bo Sophia Xiaoمشاهده پروفایل

استاد

• Responsible Information Systems
• Responsible AI
• Human-Computer Interaction
• +۵ مورد دیگر

Bo Sophia Xiao is a Professor of Information Technology Management at the Shidler College of Business, University of Hawaii at Manoa, where she currently serves as Chair of the Department of Information Technology Management. She holds the prestigious title of Shidler College Distinguished Professor and has established herself as a leading scholar in information systems research with publications in top-tier journals including Journal of the Association for Information Systems, Information Systems Research, and Management Information Systems Quarterly. Her academic credentials include a PhD in Management Information System from the University of British Columbia, an MSc in Information Management from Arizona State University, and an M.TESOL from Arizona State University. Professor Xiao's research primarily focuses on responsible information systems, particularly responsible AI design frameworks that address ethical challenges in artificial intelligence. Her work explores human-computer interaction and collaboration, digital platforms, and health information systems, with particular attention to how technology can be designed to maximize benefits while minimizing potential harms. She investigates psychological and social aspects of technology use, including cyberbullying behaviors, crowdsourcing dynamics, and digital health applications. Her research often employs both quantitative and qualitative methods to provide nuanced insights into complex human-technology interactions. Her recent publications (2018-2025) demonstrate a significant shift toward ethical AI research, with multiple 2025 publications specifically addressing responsible AI design frameworks, infrastructure, and implementation. This represents an evolution from her earlier work on product recommendation agents, online trust, and cyberbullying, while maintaining her consistent interest in human-technology interaction. Her research increasingly addresses interdisciplinary concerns at the intersection of technology, ethics, and human behavior. 2023: Shirley M. Lee Research Senior Award, Shidler College of Business 2022-Present: Shidler College Distinguished Professor 2017-2022: Shidler College Distinguished Associate Professor 2018: Highly Commended Paper in Internet Research, Emerald Literati Award 2015: Distinguished Paper Award at International Conference on e-Commerce 2012: Best Paper Award at International Conference on e-Commerce Professor Xiao has actively supervised numerous doctoral students at both Hong Kong Baptist University and the University of Hawaii at Manoa, serving as principal advisor, co-supervisor, and committee member. She has held significant editorial roles including Associate Editor for MIS Quarterly and Internet Research, and has served on multiple editorial boards. Her service to the academic community extends to conference organization, including serving as Conference Program Co-Chair for PACIS 2023 and multiple Track Co-Chair positions at major information systems conferences. While specific lab names aren't mentioned in the available information, Professor Xiao leads a productive research group focused on responsible AI and human-computer interaction, with extensive collaborations particularly with Kaveh Abhari, Andrea Rivera, and Yee Man Wong across multiple publications spanning cyberbullying, crowdsourcing, and responsible AI research.

• Digital Rights Management
• Multimedia Content Management
• Healthcare Information Systems
• +۶ مورد دیگر

Jaime Delgado is a prominent researcher with over three decades of contributions to digital rights management, healthcare information systems, and security and privacy in eHealth. With an extensive publication record spanning from 1994 to 2025, Delgado has established themselves as a leading expert at the intersection of computer science and healthcare, developing practical frameworks that enhance security, privacy, and interoperability in medical systems. Delgado's research spans multiple critical domains: Digital Rights Management and Multimedia Content Security Healthcare Information Systems and eHealth Applications Security and Privacy in Medical Data Management Ontologies and Semantic Web Technologies for Healthcare Genomic Information Systems and FAIR Data Principles Trustworthy Media Systems and Provenance Tracking Analysis of recent publications (2021-2025) reveals a strategic shift toward healthcare applications, particularly focusing on security requirements for Internet of Medical Things (IoMT), privacy-enhancing techniques for medical data, and genomic information systems. Delgado's work demonstrates consistent development of practical architectures addressing real-world security challenges in healthcare settings, with increasing collaboration with medical professionals and participation in European health informatics initiatives like the MedSecurance Project. Delgado has received recognition for contributions to standardization efforts, particularly in developing frameworks for media trustworthiness and international standards for assessing trust in digital media. Their work on the JPEG Privacy and Security framework has significantly influenced industry practices. Through extensive collaboration with researchers like Silvia Llorente (43 joint publications), Eva Rodríguez (29 publications), and Rubén Tous (26 publications), Delgado has built a strong research network across European institutions. Their work consistently combines theoretical framework development with practical implementation considerations, addressing the critical balance between security requirements and clinical workflow usability. Delgado's laboratory work centers on developing secure frameworks for medical data management, with recent emphasis on genomic information systems, provenance tracking in eHealth, and security requirements for medical IoT devices. Their research group actively participates in European health informatics initiatives and contributes to international standards development, maintaining exceptional productivity with 4-7 publications annually in recent years.

• Sports Analytics
• Machine Learning Applications
• Healthcare Data Science
• +۵ مورد دیگر

Samah Senbel is an active faculty member in the School of Computer Science & Engineering at Sacred Heart University , specializing in interdisciplinary data science applications. Her research bridges computer science with sports analytics, healthcare diagnostics, and social systems through advanced machine learning techniques. Her research interests focus on predictive modeling and performance analytics , particularly examining athletic performance metrics in Division 1 women's basketball through physiological monitoring (sleep, mental state, jump height). Additional research areas include healthcare diagnostics (liver disease prediction), social media analysis (COVID-19 vaccine sentiment), and agricultural/energy economics. Her methodology emphasizes Python-based data processing and visualization for real-world problem solving. Publication trends reveal strong expertise in Sports Science : 7 articles (2021-2025) on basketball performance, weightlifting analytics, and Olympic participation Health Informatics : 4 articles on disease prediction, physical activity monitoring, and pandemic impacts Social Systems : 4 articles covering visa applications, traffic safety, and gender disparities Her scientific contributions demonstrate consistent output with 12 peer-reviewed publications in 2025 alone, primarily in computer science and sports medicine journals. Dr. Senbel leads research on athlete monitoring systems, developing methodologies to correlate training metrics with competitive outcomes. Her current projects include dynamic dashboards for basketball performance tracking and machine learning models for early disease detection.

Prateek Jainمشاهده پروفایل

مدرس

• Knowledge Graphs
• Natural Language Processing
• Machine Learning
• +۶ مورد دیگر

Prateek Jain is a Lecturer at the School of Information, San José State University, where he teaches courses in Big Data Analytics and Python programming. He holds a Ph.D. in Computer Science and Engineering from Wright State University and has over a decade of industrial experience in data science and artificial intelligence at leading institutions such as IBM T.J. Watson Research Center, Nuance Research Labs, and Liveperson. His research interests include Knowledge Graphs, Natural Language Processing, Machine Learning, and Big Data, with over 30 peer-reviewed publications and patents in these areas. His academic and professional background bridges advanced research and practical deployment of AI-driven systems. Ph.D. (Computer Science and Engineering), Wright State University (2007–2012) Ph.D. (Computer Science), University of Georgia (2006–2007, transferred) BS (Information and Communication Technology), Dhirubhai Ambani Institute of ICT (2002–2006) Prateek's research publications focus on the development and application of Knowledge Graphs, particularly in areas like NLP, enterprise search, healthcare, and financial services. His work emphasizes scalable, explainable, and practical AI solutions, with recurring themes in graph embeddings, semantic reasoning, and large-scale data integration. He has served as an Adjunct Instructor at Chabot College and Northwestern Polytechnic University, and currently contributes to academic instruction at SJSU while maintaining an active role in industry as Principal Data Scientist at Liveperson. His industrial roles have spanned: Principal Data Scientist, Knowledge Graphs – Liveperson Inc. (2021–Present) Engineering Manager, Machine Learning – AppZen Inc. (2018–2021) Principal Research Engineer – Nuance Inc. (2016–2018) VP/Data Scientist – BlackRock Inc. (2015–2016) Data Scientist – Ignition One (2015) Research Staff Member – IBM T.J. Watson Research Center (2012–2015) There are no listed scientific awards or advisees in the provided information.

• Biomedical Engineering
• Biomedical Image Processing
• Medical Image Analysis
• +۳ مورد دیگر

EVGİN GÖÇERİ is an Associate Professor at Akdeniz University's Faculty of Engineering, Department of Biomedical Engineering. She has been serving in this position since 2018, having previously held the rank of Assistant Professor in the Department of Computer Engineering from 2015-2018. Her academic career is complemented by a postdoctoral fellowship at Ohio State University's College of Medicine in Biomedical Informatics (2015-2016). Dr. GÖÇERİ earned her Doctorate in Electrical and Electronics Engineering from Izmir Institute of Technology (2007-2013) and completed her undergraduate studies in Computer Engineering at Ege University (1997-2002). Her research primarily focuses on biomedical image processing, deep learning applications in medical diagnostics, and computer-aided diagnosis systems. Her scholarly work demonstrates a strong emphasis on applying advanced machine learning techniques to medical imaging challenges, particularly in dermatology, oncology, and neuroimaging. Recent publications reveal extensive work on transformer architectures, GAN-based augmentation, and hybrid deep learning models for various medical image analysis tasks. Her research consistently addresses practical clinical challenges including polyp detection, skin cancer classification, brain tumor segmentation, and liver tumor analysis. Dr. GÖÇERİ has established herself as a productive researcher with 80 publications indexed in Web of Science, 30 in Scopus, and impressive citation metrics including an h-index of 683 in WoS and 2048 in Scopus. Her work spans journal articles, conference proceedings, and book chapters, demonstrating both depth and breadth in biomedical engineering research. Her technical expertise spans image processing algorithms, deep neural network architectures, and medical image analysis systems, with particular strengths in applying these technologies to real-world clinical problems. The trajectory of her publications indicates growing sophistication in model architectures, moving from traditional CNNs to more advanced hybrid approaches incorporating transformers and attention mechanisms.

Julie Ellisمشاهده پروفایل

دانشیار

• Medication Self-Management
• Geriatric Nursing
• Community Health
• +۴ مورد دیگر

Julie Ellis serves as an Associate Professor at the University of Wisconsin-Milwaukee, where her research focuses on geriatric nursing, community health, and self-management interventions. She maintains an active clinical research profile through faculty appointments in Geriatric Health, Local to Global Community Health, and Self-Management research groups, conducting community-engaged studies primarily with vulnerable older adult populations in Milwaukee. Education: PhD in Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI Dr. Ellis's research program centers on medication self-management behaviors among African American older women, examining intersections of medical mistrust, caregiver strain, and chronic disease management. Her work extends to dementia care, pain management in long-term settings, and church-based community health initiatives, consistently addressing health disparities through qualitative and mixed-methods approaches. Recent scholarship demonstrates growing emphasis on digital health tools for self-care support and social determinants of health. Analysis of her 15 most recent publications (2022-2025) reveals three dominant research trajectories: 1) Application of self-management theory to chronic conditions in aging populations, 2) Investigation of social isolation's physical and cognitive impacts using NHATS data, and 3) Development of culturally tailored digital interventions for dementia and pain management. Her methodological approach increasingly incorporates systematic reviews and secondary data analysis alongside primary qualitative work. Scientific Awards: No awards documented in available information Dr. Ellis leads community-based research projects including a current study of 120 low-income African American women with chronic diseases, examining medication adherence mediators like self-efficacy and goal congruence. She collaborates extensively with Christine Kovach on secondary analyses of community nursing center data and with Murad Taani on qualitative investigations of medication self-management experiences. Her church-based partnerships for senior health support represent a distinctive community-engagement model. She contributes to UWM's Geriatric Health research collective through multi-site interventions addressing falls prevention and nonpharmacologic pain management, utilizing technology-enhanced approaches like tablet-based systems in hospital settings. Her work with community nursing centers demonstrates practical translation of research into clinical practice for underserved populations.

Claudia Martins Antunesمشاهده پروفایل

دانشیار

• Data Science
• Temporal Data Mining
• Association Rule Mining
• +۴ مورد دیگر

Claudia Martins Antunes is an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa. Her work focuses on data mining, pattern discovery, and knowledge integration across diverse domains including healthcare, education, and bioacoustics. Primary Affiliation: Instituto Superior Técnico, Universidade de Lisboa Academic Role: Associate Professor Research Interests: Claudia specializes in data mining methodologies that incorporate domain knowledge, with particular emphasis on temporal data analysis and structured pattern mining. Her research spans healthcare analytics, educational data modeling, and multi-dimensional pattern discovery. Temporal data mining Constraint-based pattern discovery Knowledge-driven data analysis Healthcare data repositories Publication Trends: Claudia's work demonstrates consistent innovation in pattern mining techniques applied to healthcare and educational contexts. Recent publications focus on blockchain data analysis, urban planning applications, and advanced feature engineering methods, while earlier works established foundations in student modeling and sequential pattern mining. Teaching Activities: She teaches courses in Programming for Data Science, Data Science fundamentals, and Computer Engineering, alongside supervision of integrative projects in Industrial Engineering and Management.

Naonori Kodateمشاهده پروفایل

دانشیار

• Comparative Healthcare Policy
• Science and Technology Studies
• Welfare Technology
• +۷ مورد دیگر

Naonori Kodate is Associate Professor at the School of Social Policy, Social Work and Social Justice, University College Dublin (UCD), where he directs the Public Policy Programme and co-founded the UCD Centre for Japanese Studies. He holds concurrent appointments as Adjunct Research Professor at Chiba University's Center for Frontier Medical Engineering and research affiliations with institutions in India and Japan. Research Interests: Comparative healthcare politics and policy Science & Technology Studies (STS) Welfare technology and social robotics Implementation science and systems thinking Global aging and dementia care Gender equality in science and technology His research explores the intersection of technology and care, particularly through the Circuits of Care documentary. Current work examines rare disease economics, rural care technology, and cross-cultural robot deployment. Recipient of JSPS and Toyota Foundation grants Multidisciplinary collaborations across 12 countries 2024 UCD Teaching Excellence Award Advises PhD students in rare disease impacts, assistive technology, and care sociology. Supervises research on healthcare robotics in Ireland-Japan-Finland contexts.