جستجوی استاد راهنمای دانشگاهی

Sebastian Schmidlمشاهده پروفایل

پژوهشگر

• Distributed Computing
• Data Profiling
• Time Series Anomaly Detection
• +۳ مورد دیگر

Sebastian Schmidl is a Ph.D. researcher at the Information Systems Group (University of Potsdam, Digital Engineering Faculty ). He is also affiliated with the Big Data Analytics Group at Philipps-Universität Marburg . Research Interests : Distributed computing, time series anomaly detection, data profiling, and scalable reactive systems using actor programming. Academic Roles : Supervised multiple master's and bachelor's theses, delivered guest lectures on reproducibility and order dependencies, and contributed to academic reviewing for conferences like SIGMOD and journals like SoftwareX. His recent publications focus on time series anomaly detection , data profiling query languages , and distributed algorithm design . He has collaborated extensively on benchmarking frameworks and optimization techniques for univariate and multivariate time series data.

Christopher Shepardمشاهده پروفایل

استادیار

• Pedology
• Soil Formation
• Soil Physical Properties
• +۲ مورد دیگر

Christopher Shepard is an Assistant Professor in the Department of Plant and Soil Sciences at the University of Kentucky's Martin-Gatton College of Agriculture, Food and Environment. He holds a Ph.D. in Soil, Water and Environmental Science from the University of Arizona (2018), complemented by M.S. (2014) and B.S. (2011) degrees in Environmental Science. Research focuses on pedology and soil formation processes, with emphasis on fragipan genesis, mineral-organic interactions, and topographic influences on soil properties. His work employs advanced spectroscopic techniques and geospatial analysis to understand soil health in agricultural and natural systems. Award recognition includes multiple graduate research prizes from the Soil Science Society of America. Recent publications examine phosphorus cycling, mineral weathering, and karst landscape soil variability, frequently utilizing Kentucky's diverse geological settings as model systems.

• Image Analysis
• Pattern Recognition
• Document Analysis
• +۳ مورد دیگر

Dr Christian Clausner is a Research Fellow at the University of Salford, affiliated with the School of Science, Engineering & Environment and the Informatics research center. He holds a part-time PhD in Computer Science, completed in parallel with his academic role. His research focuses on image analysis, pattern recognition, and document analysis, with a particular emphasis on OCR technology, historical document digitization, and semantic metadata frameworks. Education: Studied Computer Science and Artificial Intelligence in Germany. Professional Experience: Joined academia in 2009 after private sector work, specializing in technical workflows for large-scale document digitization projects. Research Highlights: Developed NAME XML for entity-relation tagging, contributed to OCR evaluation tools, and led initiatives like the 1961 UK Census digitization and crowdsourcing for tabular data extraction. He co-chaired HIP workshops in 2021 and 2023, advancing historical document processing standards. Key Projects: WaterAGRI (2020–2024), Europeana Newspapers OCR workflow, and the Medical Officer of Health Reports scoping study. His work bridges computer science and cultural heritage, addressing challenges in text recognition, layout analysis, and semantic labeling.

Konstantinos Limniotisمشاهده پروفایل

مدرس

• Cryptography
• Boolean Functions
• Network Security
• +۵ مورد دیگر

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.

• Machine Learning
• Infectious Disease Epidemiology
• Biomedical Informatics
• +۳ مورد دیگر

Senthil K. Nachimuthu serves as Research Assistant Professor of Epidemiology in the Department of Internal Medicine and Adjunct Assistant Professor of Biomedical Informatics at the University of Utah School of Medicine. His work bridges academic research and 15+ years of industry experience in healthcare AI, focusing on implementable machine learning solutions for clinical settings. His educational background includes: PhD in Biomedical Informatics, University of Utah School of Medicine MBBS, Stanley Medical College, Chennai, India Dr. Nachimuthu specializes in multimodal and responsible machine learning for infectious disease epidemiology, with deep expertise in biomedical terminologies (SNOMED CT), interoperability standards, and clinical decision support systems. His industry background informs his commitment to evidence-based bedside implementations, particularly in sepsis management and vaccine effectiveness research. His 15 most recent publications reveal a consistent trajectory: foundational work in terminology systems (2005-2015) evolved into advanced machine learning applications for critical care (sepsis, diabetes) and infectious diseases (notably COVID-19), predominantly using dynamic Bayesian networks for temporal clinical reasoning. He has received the following scientific recognition: Fellow of the American Medical Informatics Association (FAMIA) Dr. Nachimuthu leverages extensive industry leadership—including advising U.S. Congressional committees on VA-DoD medical records interoperability and serving as elected U.S. representative on the SNOMED Technical Committee—to drive translational research. His current projects at the Salt Lake City VA Medical Center focus on operationalizing AI for real-world clinical decision support. He actively collaborates with the University of Utah's biomedical informatics and epidemiology teams, emphasizing practical AI deployment in healthcare systems through his dual appointments in Internal Medicine and Biomedical Informatics.

Deborah O'Connellمشاهده پروفایل

استاد

• Low-Temperature Plasma Technology
• Plasma Medicine
• Environmental Plasma Applications
• +۴ مورد دیگر

Prof. Deborah O'Connell is a Full Professor and Director of the National Centre for Plasma Science and Technology (NCPST) at Dublin City University (DCU). She holds a PhD from DCU and has held prestigious positions including Chair at the University of York (UK) and EU Marie Curie Fellowship at Queen’s University Belfast. Her research focuses on plasma-based technologies addressing global challenges in biomedical and environmental sectors, including plasma medicine, antimicrobial applications, and green chemistry solutions. Her work emphasizes atmospheric pressure plasmas, plasma activated liquids, and diagnostic techniques. She has pioneered advancements in plasma-jet design and reactive species control. Key achievements include the Quantemol database development and co-founding the International Conference on Data-Driven Plasma Science. Prof. O'Connell has received international recognition, including the EPS/IoP Crookes Prize (2018) and the IoP Hershkowitz Award (2013). She actively contributes to global plasma science through leadership roles in the International Plasma Chemistry Society and IUVSTA's Plasma Science & Techniques Division. Her interdisciplinary research integrates plasma physics, chemistry, and biology to advance therapies and sustainable technologies. Current work explores plasma applications in agriculture, cancer treatment, and environmental remediation.

Philip Bogdenمشاهده پروفایل

دانشیار

• Data Visualization
• Data Science
• Web Technologies
• +۲ مورد دیگر

Philip Bogden is Associate Teaching Professor of Computer Science at Northeastern University's Roux Institute, specializing in data visualization, data science, web technologies, and AI/ML. With significant industry experience, he has consulted for energy and finance sectors and served as CEO of a nonprofit providing real-time environmental data. His research develops computational solutions for environmental challenges, including flood detection systems, coastal hazard modeling, and oceanographic data infrastructure. Projects emphasize open data standards and AI applications for disaster resilience. Bogden previously contributed to open data policy at the National Science Foundation and held faculty positions at Yale and UConn. Education includes a PhD from University of California and bachelor's degree from Harvard University.

• Recommender Systems
• User Modeling
• Affective Computing
• +۳ مورد دیگر

Marko Tkalcic is a Professor affiliated with the University of Primorska, Slovenia, with a former affiliation at the Free University of Bolzano/Bozen, Italy. His research focuses on recommender systems, user modeling, and affective computing, particularly in the context of music, multimedia, and human-computer interaction. He has contributed to over 118 publications since 2008, spanning journals, conferences, and workshops. His work emphasizes ethical AI, transparency in adaptive systems, and the integration of psychological theories into computational models. Key research areas include hybrid music recommendation systems, emotion and personality-driven recommendations, and the societal impact of AI. Tkalcic has organized and chaired multiple workshops, including HUMANIZE (Transparency in Adaptive Systems) and EMPIRE (Emotions and Personality in Personalized Systems). His recent studies explore eudaimonic/hedonic characteristics in media content and the prediction of user preferences using machine learning. He collaborates extensively with institutions like the University of Trento, TU Wien, and Tilburg University, reflecting his global academic network. Tkalcic’s publications address challenges in algorithmic fairness, user-centric design, and interdisciplinary applications of recommendation technologies. His work bridges computational methods with cognitive and social sciences, aiming to enhance human-centered digital experiences.

Byeong Cheol Hwangمشاهده پروفایل

استاد آموزشی

• User Experience Design
• Human Factors
• Ergonomics
• +۷ مورد دیگر

Byeong Cheol Hwang is a Teaching Professor of User Experience Design at Savannah College of Art and Design (SCAD), leading the only B.F.A. in UX Design program in the U.S. since 2016. He also served as Chair of the program from 2018 to 2024. Hwang holds a Ph.D., M.S., and B.E. in Industrial Engineering from The University of Oklahoma and Soongsil University, respectively. His expertise spans user-centered design, human factors, and mobile UX innovation. Key roles include founding Samsung’s Mobile UX Design Group (2001–2006), scaling it from 4 to over 100 designers, and later leading Samsung’s Smartphone UX Design Group during its rise to global market leadership. He also established the User Experience Design track at Samsung Art and Design Institute (2014–2015). Research interests include advanced mobile interfaces, service design, and digital assistant technologies. Notable projects include collaborations with Ford (driverless vehicle UX), Google Maps (Android app redesign), and Gulfstream Aerospace (pilot interface systems). Awards include multiple iF Communication Design Awards, the IDEA Award, and Samsung’s Designer of the Year (2007). Leadership experience includes roles such as Senior Director of Samsung’s Mobile UX Innovation Lab (2011–2014) and strategic UX planning roles across Samsung’s global markets. Current SCAD initiatives focus on experiential learning through industry partnerships.

Matt Erlinمشاهده پروفایل

استاد

• 18th- and 19th-Century German Literature
• Aesthetic Theory
• Cultural History
• +۴ مورد دیگر

Matt Erlin is Professor of German and Comparative Literature and Chair of the Department of Comparative Literature & Thought at Washington University in St. Louis. He also directs the Max Kade Center for Contemporary German Literature. Holding a PhD from UC Berkeley, his research focuses on 18th- and 19th-century German literature and culture, aesthetics, economics and literature, philosophies of history, urban culture, and digital humanities. His academic career includes co-editing influential works like German Culture in Nineteenth-Century America and Distant Readings , and authoring books such as Berlin’s Forgotten Future and Necessary Luxuries . His digital humanities projects leverage computational tools to re-examine German literature, including the multi-university “Text Mining the Novel” initiative. Erlin teaches courses on German literature, consumer culture, and Marxist theory. His pedagogical interests align with interdisciplinary approaches, including the Interdisciplinary Project in the Humanities. He actively collaborates with the Humanities Digital Workshop (HDW) to advance computational methods in literary studies.

• Strategic Management
• Information Systems
• Business Analytics
• +۳ مورد دیگر

Sergio Ribeiro, PhD, is an Associate Professor of Management at Crandall University. His educational background includes an AT from Pontifical Catholic University of Campinas, DipBA from University of Northern Parana, PGDipSE from Sao Luiz College, MCS from State University of Ponta Grossa, and PhD from Pontifical Catholic University of Paraná. He teaches courses including Strategic Organizational Management, Managerial Economics, Operations Management, Entrepreneurship, and Software Engineering Methodology. Research focuses on strategic digital cities, business information systems, computational agriculture, and evidence-based decision models. Publications emphasize urban digitalization, computational methods in agriculture, business informatics, and decision-support systems, utilizing techniques like machine learning and image classification. Awards include a Postdoctoral Fellowship at University of Regina, multiple scholarship awards from CAPES and University of Regina.

Mike Thelwallمشاهده پروفایل

استاد

• Scientometrics
• Metascience
• Bibliometrics
• +۷ مورد دیگر

Professor Mike Thelwall is a Professor of Data Science at the School of Information, Journalism and Communication, University of Sheffield. He holds a BSc and PhD from Lancaster University. His research spans scientometrics, metascience, and social media analytics, with a focus on quantitative methods and AI applications in research evaluation. He leads the ESRC-funded AI Peer project assessing LLMs in research evaluation and studies scientific retractions and misinformation. Previously at the University of Wolverhampton (1989–2023), he founded the Statistical Cybermetrics Research Group, advancing bibliometrics and webometrics. He has supervised 22 PhD students and developed influential tools like SentiStrength (sentiment analysis), Mozdeh (social media analysis), and Webometric Analyst. Education: BSc in Mathematics, Lancaster University PhD in Library and Information Science, Lancaster University Research Interests: Bibliometrics and altmetrics AI applications in research evaluation (LLMs, machine learning) Sentiment analysis and social media metrics Research integrity and retractions Interdisciplinary collaboration analysis His work emphasizes reflexive methodologies and has been cited over 56,000 times. He received the de Solla Price Medal in 2015 and contributed to the Metric Tide review of UK research metrics. Current projects include assessing AI in peer review and societal impact of research via museums and galleries. Key Collaborations: European and international research networks UN agencies (UNDP, FAO) UKRI, ESRC, Gulbenkian Foundation

Val Gilletمشاهده پروفایل

استاد

• Chemoinformatics
• Drug Discovery
• Computational Chemistry
• +۴ مورد دیگر

Professor Val Gillet is a renowned academic in Chemoinformatics, currently serving as Professor of Chemoinformatics and former Head of the School of Information, Journalism and Communication at the University of Sheffield (2012–2016 and 2019–2023). She holds degrees from the University of Cambridge (MA) and the University of Sheffield (MSc, PhD). Her research focuses on computational methods in drug discovery, including de novo design, QSAR modeling, and AI-driven toxicity prediction. She has led interdisciplinary projects funded by EPSRC, BBSRC, and industry partnerships like AstraZeneca and GlaxoSmithKline. Professor Gillet coordinates programs such as the MSc(Res) in Chemoinformatics and teaches courses on data science and computational drug design. Roles: Head of School, REF Coordinator, Deputy Director of Research Education: MA (Cambridge), MSc/PhD (Sheffield) Research: Chemoinformatics, molecular design, QSAR, AI in drug discovery Her work bridges academia and industry, with grants totaling over £2M and over 200 publications. She advises PhD students in areas like de novo design and AI applications. Her lab contributes to projects like Alzheimer’s drug discovery and sustainable chemical formulations.

Osama Alshaykhمشاهده پروفایل

استاد پژوهش

• Machine Vision
• Digital Signal Processing
• Data Learning
• +۳ مورد دیگر

Osama Alshaykh is a Lecturer and Research Professor in the Department of Electrical & Computer Engineering at Boston University. He holds additional roles as CEO/CTO of Nxtec Corporation and CTO of Talon Corporation, as well as a Civic Tech Fellow at the Faculty of Computing & Data Sciences. His research focuses on Machine Vision, Digital Signal Processing, Data Learning, Robotics, Network Communications, and Image Compression. Dr. Alshaykh has received notable awards including the BU ECE Best Class Award (2016), BU ECE Award of Excellence in Teaching (2015), and the Fulbright Scholarship (1991). He teaches advanced courses such as EC601, EC500, EC463, and EC464. His research spans innovative areas like 5G infrastructure planning, mobile device media transfer systems, and healthcare collaboration technologies. Recent work includes applying Mask R-CNN for utility pole planning and developing frameworks for virtual education hospitals. Professional affiliations include primary faculty status at BU’s Electrical & Computer Engineering Department, alongside his industry leadership roles. He is actively involved in advancing multimedia systems, network protocols, and healthcare technology through interdisciplinary collaborations.

Abe de Jongمشاهده پروفایل

استاد

• Corporate Finance
• Financial History
• Business History
• +۳ مورد دیگر

Prof. Abe de Jong is a Professor of Corporate Finance at the University of Groningen's Faculty of Economics and Business and holds a concurrent position as Professor of Finance at Monash University (Australia). His research focuses on corporate finance, financial history, and business history, with particular emphasis on historical institutional impacts, taxation, and capital structure dynamics. He leads major research projects including 'Collateral Damage: The Financial Economics of Slavery' (NWO, 2025-2029) and 'Taking Stock: The Amsterdam Exchange and Dutch Growth' (NWO, 2021-2026). Key research interests include corporate governance evolution, Dutch financial systems, and long-term economic trends. His work bridges historical analysis with contemporary corporate finance challenges, often utilizing archival data to uncover patterns in corporate behavior. Notable publications address topics such as convertible bonds, Nazi-occupied corporate taxation, and asset sale disclosures. He has secured significant grants from the Netherlands Organization for Scientific Research (NWO), focusing on financial metadata creation and colonial economic history. His pedagogical contributions include developing frameworks to integrate historical sensibility into managerial decision-making. Abe de Jong actively collaborates with international institutions and maintains affiliations in both the Netherlands and Australia.