جست‌وجوی استاد و پژوهشگر

• Solar Energy
• Photovoltaics
• Electronics Engineering
• +۲ مورد دیگر

Jorge Aguilera Tejero is a Professor in the Department of Electronic and Automatic Engineering at the University of Jaén. He leads research initiatives at the Center for Advanced Studies in Earth Sciences, Energy, and works within the Electronics Technology area. His work focuses on photovoltaic systems, solar energy development, and sustainability in energy projects. Education: PhD from Polytechnic University of Madrid (1995), thesis on photovoltaic solar energy in development cooperation in the Bolivian Altiplano. Research Interests: Specializing in photovoltaic technology, bifacial solar panels, off-grid energy systems, and sustainable energy applications in cooperation projects. His work bridges electronics engineering with solar energy deployment in diverse environments. Projects & Tools: Developed software for PV system monitoring, designed educational tools for photovoltaic design (Design SFVA v1.0), and contributed to international collaborations like Solar Decathlon Europe 2012 with self-sufficient housing prototypes. His research includes environmental impact assessments of PV systems and wireless monitoring technologies. Labs & Initiatives: Involved in the Research and Development in Solar Energy group and the Center for Advanced Studies in Earth Sciences, Energy. His experimental work spans over two decades, including validation of photovoltaic models and degradation studies of solar modules.

• Information Systems in Tourism
• Geographic Information Systems (GIS)
• Personnel Management
• +۵ مورد دیگر

Svitlana Volodymyrivna Domashenko serves as an Associate Professor at Zaporizhzhia National Technical University (ZNTU), where she has been active since 2007. She is affiliated with the Department of Information Technologies in Tourism, contributing to both teaching and research activities in the intersection of information technology and tourism management. Her educational background includes a degree in Physics from Zaporizhia State University (1993) and a Master's in Personnel Management and Labor Economics from Zaporizhzhia National Technical University (2014). She holds the academic title of Associate Professor and earned her Candidate of Physical and Mathematical Sciences degree (equivalent to PhD) with a thesis on magnetic materials in 2000. Her research interests span the application of information systems in tourism, GIS technologies for tourism management, and information systems in personnel management. She teaches a diverse range of subjects including Information technologies in personnel management, Econometrics, Economic and mathematical models, Higher mathematics, Internet marketing, and Informatics. Her work demonstrates a strong focus on practical applications of technology in tourism and business management. Her publication record shows consistent scholarly activity from 2010-2017, with a primary focus on how information technologies can enhance tourism management, particularly in the Zaporizhzhia region. Her work bridges theoretical concepts with practical regional applications, showing particular interest in geoinformation systems, CRM technologies, and digital transformation in tourism services. She has actively participated in numerous scientific conferences from 2009 to 2019, primarily at Zaporizhzhia National Technical University's 'Week of Science' events and international conferences on tourism and economics, demonstrating sustained engagement with the academic community.

Hans Uszkoreitمشاهده پروفایل

استاد

• Computational Linguistics
• Artificial Intelligence
• Machine Translation
• +۳ مورد دیگر

Hans Uszkoreit is a Scientific Director at the German Research Center for Artificial Intelligence (DFKI) , where he coordinates collaborative activities and leads China-related cooperations. He was a Professor (C4) for Computational Linguistics and Computer Science at Saarland University from 1988 to 2015 and founded the DFKI Berlin project office in 2007. Uszkoreit studied linguistics and computer science at the Technical University of Berlin and earned his doctorate at the University of Texas at Austin in 1984. Former roles: Researcher at SRI, Stanford, and IBM Germany Co-founder and Chief Scientist of GIANCE (DFKI spin-off, 2018) Principal Investigator at Berlin Big Data Center and German Smart Data Forum His research focuses on language and knowledge technologies , with applications in enterprise intelligence , machine translation , and semantic systems . Recent work includes AI for social inclusion and smart data projects . Publications span topics like translation quality evaluation , hybrid NLP methods , and big data analytics . Scientific achievements include membership in the European Academy of Sciences and leadership roles in international collaborations. He has supervised over 20 PhD theses in computational linguistics, covering areas like German syntax , relation extraction , and cross-lingual QA systems . Uszkoreit co-founded startups such as Acrolinx and Sematell , and frequently contributes to conferences on AI and language technology.

• Predictive Analytics
• Population Health
• Biomedical Informatics
• +۷ مورد دیگر

Andrew Loza, MD, PhD, is an Instructor of Biomedical Informatics and Data Science at Yale School of Medicine. He holds joint appointments in both the Department of Biomedical Informatics and Data Science and the Department of Pediatrics. Dr. Loza is also affiliated with the VA Connecticut Healthcare System where he completed his Clinical Informatics fellowship and postdoctoral training. Dr. Loza's educational background includes a PhD in Biophysics from Washington University in St. Louis (2016), where he studied mechanisms of collective cell migration using time lapse microscopy, computer vision, and simulation. He earned his MD from Yale University School of Medicine and completed his residency in Internal Medicine-Pediatrics at Yale. His training was further enhanced by a Clinical Informatics fellowship in the ACGME Yale/VA program and a postdoctoral fellowship in the VA Biomedical Informatics program. Dr. Loza's research focuses on developing statistical and deep learning methods to leverage Real-World Data to improve clinical care, with particular emphasis on multimodal medical foundation models. His work spans several key areas including predictive analytics for patient risk assessment, analysis of electronic health record patterns, and understanding the impact of healthcare interventions. The Loza Lab aims to transform data into actionable information that can be seamlessly integrated into clinical workflows to enhance patient care without disrupting physician workflow. His research demonstrates strong trends in applying advanced computational methods to solve healthcare delivery challenges, particularly in pediatric care, population health management, and clinical decision support. Dr. Loza's work bridges the gap between complex data science techniques and practical clinical applications, with a focus on creating tools that physicians can readily use in their daily practice. Hartwell Foundation Award 2024 for Pediatric Predictive Modeling Dr. Loza is actively involved in mentoring and has expressed interest in developing the next generation of physician-scientists who can bridge clinical medicine and data science. His work at the intersection of Yale and the VA Connecticut Healthcare System provides unique opportunities to develop and test predictive models across different healthcare settings. Current projects include developing transformer-based generative models for healthcare applications and refining data collection processes to better inform clinical decision-making. The Loza Lab operates at the forefront of biomedical informatics, leveraging the resources of both Yale School of Medicine and the VA Connecticut Healthcare System to develop innovative solutions for healthcare delivery challenges. The lab's work emphasizes practical implementation of predictive models that can be integrated into clinical workflows without disrupting physician-patient interactions.

• Clinical Informatics
• Clinical Pathology
• Transfusion Medicine
• +۵ مورد دیگر

Ronald George Hauser III is an Associate Professor of Laboratory Medicine and Biostatistics at Yale School of Medicine, with secondary appointments in Biomedical Informatics & Data Science. He practices Clinical Pathology and Informatics at Yale, serving as the VA Site Director of the Yale/VA AGCME Medical Informatics Fellowship. His work bridges clinical practice, informatics, and veterans' health research. Dr. Hauser graduated summa cum laude with a BE from the University of Michigan's School of Biomedical Engineering before earning his MD from Yale University School of Medicine. He completed his residency in Clinical Pathology and a fellowship in Clinical Informatics at Yale, becoming board-certified in both specialties. His educational background in engineering and medicine has shaped his approach to integrating quantitative decision-making into clinical practice. His research interests span Clinical Informatics, Transfusion Medicine, Veterans Health, and Predictive Modeling, with particular focus on blood transfusion optimization, pancreatic cancer risk assessment, and HIV care in veterans. Dr. Hauser has developed clinical decision support tools visible at MDCalc, where his work on blood transfusion calculators ranks highly in search results. His research demonstrates strong collaboration with colleagues across multiple institutions, particularly within the Veterans Health Administration system. Analysis of his recent publications reveals a consistent focus on veterans' health outcomes, with significant work in transfusion medicine, pancreatic cancer risk assessment, and HIV care continuum. His research often leverages large-scale veterans' datasets to develop predictive models and clinical decision tools that improve patient care. The interdisciplinary nature of his work combines clinical pathology, informatics, and statistical modeling to address complex healthcare challenges. AABB 2023 President's Award Recipient As an educator, Dr. Hauser serves as a course instructor, thesis adviser, and mentor, with his students regularly publishing original peer-reviewed research. His emphasis on project management (evidenced by his P.M.P. certification) contributes to his students' research success. He has also worked in the private sector as Chief Science Officer for Biocogniv, a Y Combinator startup, and is a founder and volunteer for the Alloantibody Exchange. His work with the Veterans Health Administration demonstrates commitment to translating research into practical clinical tools that improve patient outcomes.

Sorin Ilieمشاهده پروفایل

مدرس

• Agent-Based Systems
• Distributed Computing
• Software Engineering
• +۴ مورد دیگر

Dr. Eng. Sorin Ilie is a Lecturer at the Faculty of Automatic Control, Computers and Electronics, University of Craiova (Romania). His research focuses on agent-based systems , distributed computing , and software engineering , with notable work in ant colony optimization and human-computer interaction . He has contributed to automated software development frameworks like ReLEL and Praxeme, as well as renewable energy applications in urban environments. Role: Lecturer Email: sorin.ilie@edu.ucv.ro Research Interests: Agent-based simulation for emergency scenarios Mathematical modeling of emissions in power systems Automated code generation from requirements models Application of game theory to electric vehicle rentals Swarm intelligence algorithms in distributed systems Publication Trends: His recent work spans artificial intelligence , renewable energy , and software engineering , emphasizing agent-based resource allocation , ant colony optimization , and model-driven development . He explores interdisciplinary applications in environmental management , urban mobility , and collaborative learning tools . Projects: Includes research on distributed constraint topologies, federated agent systems for environmental monitoring, and semantic logging in multi-agent architectures. His work bridges theoretical frameworks (e.g., ACODA optimization, JADE middleware) with practical implementations in disaster management and auction systems.

Cristiano Lossمشاهده پروفایل

دانشیار

• Timber Engineering
• Engineered Wood Solutions
• Hybrid Steel-Timber Structures
• +۶ مورد دیگر

Cristiano Loss is an Associate Professor of Timber Engineering in the Department of Wood Science , Faculty of Forestry , University of British Columbia . He concurrently serves as Associate Chair in Wood Building Design and Construction , leads the UBC Timber Engineering and Applied Mechanics (TEAM) group, and directs the Sustainable Engineered Structural Solutions Laboratory . Research Interests: Timber and engineered wood structural design Hybrid steel-timber building systems Seismic performance of mass-timber structures Vibration serviceability of timber floors Cross-laminated timber (CLT) assemblies Prefabricated and industrialized timber systems Over the past decade, Professor Loss has published extensively on advanced analytical and experimental techniques for evaluating the structural, dynamic, and seismic behavior of timber-based systems. His recent work leverages high-fidelity finite-element modelling, genetic algorithm optimization, and machine learning to predict and enhance the performance of connectors, shear walls, and floor diaphragms in mid- to high-rise timber buildings. Scientific Awards & Recognition: While the provided text does not enumerate specific awards, Professor Loss’s prolific publication record and leadership roles at UBC indicate substantial peer recognition in the field of timber engineering. Contact & Resources: Email: cristiano.loss@ubc.ca Office: Forest Sciences Centre 4032, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada Phone: 604-822-6716 Web: UBC TEAM Group Profiles: ResearchGate , LinkedIn

Simon Colesمشاهده پروفایل

استاد

• Structural Chemistry
• Crystallography
• Digital Chemistry
• +۵ مورد دیگر

Simon Coles is a Professor of Structural Chemistry at the University of Southampton, where he serves as Director of both the UK National Crystallography Service (NCS) and the UK Physical Sciences Data-science Service (PSDS). He has authored approximately 1000 papers and is a leading figure in chemical crystallography, with significant contributions to the Cambridge Structural Database. National Crystallography Service (NCS) Physical Sciences Data-science Service (PSDS) Editorial Board Member - Crystallography Reviews, Supramolecular Chemistry, Cryst.Eng.Comm, IUCr RawDataLetters His research spans Structural Chemistry (mechanisms of solid-state reactions, structure-property relationships, quantum mechanical calculations) and Digital Chemistry (data management, semantic web approaches, electronic laboratory notebooks). Collaborations extend to biology, engineering, and computer science, with funding from EPSRC, JISC, and Microsoft. Recent publications highlight his work in crystallography (2025), data science (2025), and materials characterization (2025). The themes of structural analysis, data-driven approaches, and interdisciplinary applications dominate his scholarly output. As a Senior Fellow of the Higher Education Academy, he contributes to MSc programme development and national education initiatives through the British Crystallographic Association. His supervision includes a diverse cohort of PhD and MSc students in chemistry-related fields.

Helena Grönqvistمشاهده پروفایل

پژوهشگر

• eHealth
• Psychosocial Care
• Digital Health Interventions
• +۳ مورد دیگر

Helena Grönqvist is an Affiliated Researcher at Uppsala University's Department of Women's and Children's Health and serves as Project Manager at the Centre for Integrated Research on Culture and Society (CIRCUS). Her career focuses on eHealth, psychosocial care, and digital interventions for cancer patients and their families. She actively contributes to the U-CARE research environment, developing web-based therapeutic tools and investigating long-term psychological effects in oncology contexts. Affiliated Researcher, Department of Women's and Children's Health, Uppsala University Project Manager, Centre for Integrated Research on Culture and Society (CIRCUS) Active in U-CARE research program on digital psychosocial care Her research interests center on digital health interventions , particularly internet-based cognitive behavioral therapy programs for cancer patients and families. She investigates long-term psychological effects of cancer diagnosis across life stages, parental support needs after childhood cancer, and neurodevelopmental patterns in preterm infants. Her work integrates clinical psychology with digital platform development , emphasizing longitudinal study designs. Publication trends show consistent contributions to Journal of Medical Internet Research , Acta Oncologica , and Psycho-Oncology journals, covering topics from web-based intervention design to parental bereavement support . The 15 most recent articles demonstrate methodological expertise in randomized controlled trials , longitudinal observational studies , and design science research . Helena collaborates extensively with multidisciplinary teams including Mudassir Imran Mustafa , Joanne Woodford , and Anna Wikman . She contributes to academic discourse through conference papers on internet-based self-help and adolescent cancer consequences , while maintaining active roles in both CIRCLE and CIRCUS research centers.

Zuhal Tanrıkuluمشاهده پروفایل

استاد

• Information Systems Development
• Information Systems Management
• Systems Success and Failure
• +۳ مورد دیگر

Zuhal Tanrıkulu is a Professor in the field of Management Information Systems, with a multidisciplinary background in Electronics and Communication Engineering, Control and Computer Engineering, and Business Administration. She has taught courses spanning enterprise information systems, global IS success metrics, soft computing applications, and graduate seminars. Research Focus: Her work centers on information systems development, systems success/failure analysis, e-learning technologies, and health information systems. Recent publications emphasize password security algorithms, mobile learning sustainability, and data mining applications. Publication Trends: Over the past decade, her research spans cybersecurity, digital transformation, and educational technology. Key subfields include network security protocols, business model innovation, and intelligent system integration in service processes.

Mira Meziniمشاهده پروفایل

استاد

• Software development paradigms and tools
• Programming systems for reliable distributed software
• Automated software analysis
• +۳ مورد دیگر

Mira Mezini is a Professor of Computer Science at the Technical University of Darmstadt, Germany, leading the Software Technology Lab. She serves on steering committees, program committees, and editorial boards of top-tier conferences and journals. Her affiliations include the National Research Center for Applied Cybersecurity ATHENE and co-directorship of hessian.AI, the Hessian Center for Artificial Intelligence. Her research focuses on programming systems for reliable distributed software and AI, automated software analysis, and foundational code models. She has developed large-scale module concepts for adaptability, extensible programming languages, and intelligent software development environments that leverage web-based resources to generate programming rules and patterns. Specializes in software engineering Expert in programming language design Contribution to cybersecurity and AI Her recent work emphasizes static analysis, distributed systems, and programming language design, with trends in API misuse detection, decentralized applications, and secure local-first programming. The focus spans from foundational type systems to practical tools enhancing software quality and developer productivity. Scientific Awards Two-time IBM Eclipse Innovation Award recipient (2005, 2006) Google Research Award (2017) Horst Görtz IT Security Award (2014) ERC Advanced Grant (2012) ACM Fellow Dahl-Nygaard Prize (2025) She has held leadership roles including Dean of Computer Science at TU Darmstadt (2013-2014) and Vice President positions (2014-2019). Her service extends to international juries, funding panels, and editorial boards. Labs & Teams Leads the Software Technology Lab at TU Darmstadt, driving research in programming paradigms and tools. Co-directs hessian.AI and contributes to the Excellence Cluster 'Reasonable Artificial Intelligence.'

Christos Katsanosمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Human-Robot Interaction
• Web Science
• +۵ مورد دیگر

Christos Katsanos is an Assistant Professor of Human-Computer Interaction at the Department of Informatics, School of Sciences, Aristotle University of Thessaloniki since 2018. He also holds adjunct professor positions at Hellenic Open University (2011-2012, 2014-present), University of Patras (2017-2018), Open University of Cyprus (2016-2018), and previously at Technological Educational Institute of Western Greece (2011-2018) and Technological Educational Institute of Western Macedonia (2005-2010). His research spans multiple domains of interactive systems with a strong focus on user-centered design methodologies. Education: 2010: Doctor of Philosophy (PhD) in Human-Computer Interaction, Department of Electrical and Computer Engineering, Polytechnic School, University of Patras 2004: Diploma (Master of Engineering degree) in Electrical and Computer Engineering, Department of Electrical and Computer Engineering, University of Patras 1999: Certificate of Secondary Education, 3ο General High School of Kozani, 19.6/20 Dr. Katsanos' research interests center on Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI), with significant contributions to web science, web accessibility, educational technologies, and methods for designing and evaluating interactive software systems. His work often bridges theoretical cognitive models with practical applications, particularly in information architecture and user experience evaluation. He has developed several tools for automated website evaluation based on information foraging theory and semantic analysis. His publication record shows a consistent trajectory from foundational work on information scent and web navigation (2004-2010) through to more recent work on stress detection using physiological signals, HRI in agricultural robotics, and personality factors in UX evaluation. The research demonstrates an evolution from purely web-based interaction to broader interactive systems including robotics and mobile applications, while maintaining a strong methodological focus on evaluation techniques. As an educator and advisor , Dr. Katsanos has supervised numerous undergraduate, master's, and doctoral students on topics related to web accessibility, user experience design, information architecture, and educational technologies. His teaching portfolio includes courses on Human-Computer Interaction, Quality Assurance of Software Systems, and Interactive Mobile Applications. His administrative service includes membership in various departmental committees at Aristotle University of Thessaloniki, including selection committees for postgraduate students and doctoral candidates, as well as the General Assembly of the Department. He has also served on evaluation committees for research projects.

Junyu Caoمشاهده پروفایل

استادیار

• Data-driven decision making
• Online learning
• Revenue management
• +۶ مورد دیگر

Junyu Cao is an Assistant Professor in the Department of Information, Risk, and Operations Management at McCombs School of Business, The University of Texas at Austin. He earned his Ph.D. in Industrial Engineering and Operations Research from UC Berkeley in 2020. His research focuses on data-driven decision making, online learning, stochastic modeling, and their applications to revenue management, recommender systems, smart-city analytics, and operations. Ph.D.: Department of Industrial Engineering and Operations Research, UC Berkeley Education: B.S. in Mathematics, Zhejiang University; B.S. in Industrial Engineering, Zhejiang University; Exchange Program, UCLA His work spans interdisciplinary domains including sequential decision-making in dynamic environments, bandit problems, and network modeling. He has developed algorithms for adaptive data acquisition, fatigue-aware recommendation systems, and urban mobility optimization. Recent publications in Management Science , Operations Research , and NeurIPS highlight his contributions to pricing optimization, reinforcement learning, and transportation systems. His research has been recognized with multiple awards including the IBM PhD Fellowship and Katta Murty Best Paper Prize. Finalist in MSOM Service Management SIG Best Paper Award, 2024 Second Place, POMS CHOM Best Paper Competition, 2024 Winner, INFORMS ISS Cluster Best Paper Award, 2022 Junyu has advised two Ph.D. students at UT Austin and served as Graduate Student Instructor at UC Berkeley. He has received editorial and judging roles in prestigious academic competitions.

Adina Crainiceanuمشاهده پروفایل

استاد

• Databases
• Distributed Systems
• Cloud Computing
• +۱۱ مورد دیگر

Adina Crainiceanu is a Professor in the Computer Science Department at the United States Naval Academy. Her research focuses on databases , distributed systems , cloud computing , cybersecurity , and data science . Educational Background: Ph.D. in Computer Science, Cornell University (2006) Professor Crainiceanu's work addresses challenges in dynamic, large-scale decentralized systems , including the development of the open-source Apache Rya project for scalable RDF storage and SPARQL query processing. Her recent research explores situation-aware access control , privacy-preserving intrusion detection , and federated SPARQL query optimization . Scientific Awards: No awards explicitly mentioned in the text She has co-chaired the Jean Bartik Computing Symposium at West Point (2025) and contributed to interdisciplinary projects spanning biostatistics and medical imaging .

John Finleyمشاهده پروفایل

دانشیار

• International Business
• Bankcard Systems
• Emerging Markets
• +۴ مورد دیگر

John Finley serves as Associate Professor and Department Chair of Marketing & Management at Columbus State University's Turner College of Business & Technology. Fluent in Spanish and Portuguese with basic Italian/German proficiency, he directs international initiatives including study abroad programs in Brazil and Costa Rica while coordinating student internships. His research spans international business-to-business marketing, bankcard systems in emerging markets, corporate rivalries (Airbus/Boeing), and digital transformation. Key interests include sustainable regional development, educational impacts of international business, and bankcard association effects on credit processing. He actively participates in campus-wide international committees and leverages extensive corporate experience from TSYS and MasterCard Europe. His 15 most recent publications demonstrate evolving focus from foundational international business topics (2017-2010) toward contemporary digital transformation themes (2024-2018), with recurring emphasis on emerging markets and educational applications. Current work examines human capital development, cyberloafing mitigation, and digital multinationals' investment strategies. Research Highlights: International business education impacts Bankcard processing in emerging economies Corporate rivalry effects on global business Digital transformation in public administration Cross-cultural business systems analysis Dr. Finley integrates professional expertise from international corporate roles with academic scholarship, maintaining active engagement in international business education through study abroad programs and cross-border research collaborations. His multilingual capabilities enhance global academic partnerships and student development initiatives.