جست‌وجوی استاد و پژوهشگر

Shunqiao Sunمشاهده پروفایل

استادیار

• Statistical Signal Processing
• Sparse Signal Processing
• Mathematical Optimization
• +۷ مورد دیگر

Dr. Shunqiao Sun is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Alabama, College of Engineering. He joined the faculty in August 2019 as a tenure-track professor after working at Aptiv’s radar core team in Malibu, California. His research focuses on advanced signal processing, machine learning, and optimization for automotive and MIMO radar systems in autonomous vehicles. Ph.D. : Electrical and Computer Engineering, Rutgers University, 2016 M.S. : Electrical Engineering, Fudan University, 2011 B.S. : Electrical Engineering, Southern Yangtze University, 2004 Dr. Sun's research lies at the intersection of statistical and sparse signal processing , mathematical optimization , and machine learning , with applications in automotive radar , MIMO radar , and autonomous driving . His work emphasizes sparsity-oriented frameworks, AI-powered radar perception, and high-resolution 4D sensing. He leads a dynamic research group focused on next-generation radar technologies for intelligent transportation systems. His recent publications demonstrate a strong trend in deep learning for radar signal recovery , collaborative radar imaging , direction-of-arrival estimation with sparse arrays , and integrated sensing and communication . Several of his papers are among the most downloaded and cited in IEEE journals, including top articles in IEEE Signal Processing Magazine and IEEE Journal of Selected Topics in Signal Processing. Scientific Awards and Honors: NSF CAREER Award (2024) NSF CRII Award (2022) IEEE AESS Robert T. Hill Best Dissertation Award (2016) Best Student Paper Award at IEEE SAM Workshop (2020) Rutgers ECE Academic Achievement Award (2015–2016) University of Alabama Hewson Engineering Faculty Fellow (2025) Dr. Sun is actively involved in academic service and leadership. He is an Associate Editor for IEEE Signal Processing Letters and IEEE Open Journal of Signal Processing . He serves as Vice Chair of the IEEE Signal Processing Society’s Autonomous Systems Initiative and is an elected member of the IEEE Sensor Array and Multichannel (SAM) Technical Committee and the Integrated Sensing and Communication (ISAC) Technical Working Group. He has co-organized numerous workshops and special sessions at ICASSP, EUSIPCO, and IEEE Radar Conference. His lab has secured significant research funding from the National Science Foundation , NXP Semiconductors , MathWorks , and NOAA . He mentors multiple Ph.D. students, several of whom have interned at leading industry labs such as NXP and GM Cruise. He has co-organized the Workshop on Signal Processing for Autonomous Systems (SPAS) at ICASSP and EUSIPCO and delivered invited seminars at institutions including TU Delft, UC Davis, and Lehigh University.

Therese Deocampo Pigottمشاهده پروفایل

استاد

• Meta-analysis
• Systematic Review
• Educational Research Methodology
• +۶ مورد دیگر

Therese Deocampo Pigott is a Professor in the Department of Educational Policy Studies at Georgia State University's College of Education & Human Development. She also holds a position as Professor II at the University of Agder, Norway, within the Faculty of Educational Sciences and Humanities and the Knowledge Center for Education. B.A. in Psychology, University of Notre Dame (1983) Ph.D. in Measurement, Evaluation and Statistical Analysis, University of Chicago (1992) Her research is centered on methodological advances in systematic review and meta-analysis, with a focus on improving research synthesis in education and social sciences. Key areas include outcome reporting bias, missing data handling, effect size standardization, and methodological rigor in meta-analytic models. She advocates for transparency and reproducibility in educational research. Her recent publications (2019–2024) reflect a strong trend in methodological guidance and evidence synthesis, particularly in meta-analysis practices and bias detection. Topics span from school bullying and PTSD to multisystemic therapy and abstract screening protocols, demonstrating both methodological depth and application across social science domains. Scientific Awards: Fellow of the American Educational Research Association (2023) Frederick Mosteller Award for Distinctive Contributions to Systematic Reviewing, Campbell Collaboration (2016) Dr. Pigott has led significant research initiatives on research synthesis methods, contributing to national and international guidelines. She advises graduate students in education policy and methodology, though specific advisees are not listed. Her work is supported by scholarly recognition and editorial contributions to leading journals in research synthesis. She is affiliated with research centers focused on evaluation, school climate, and urban education, contributing to interdisciplinary teams advancing evidence-based practices in education.

• Human Resource Development (HRD)
• Adult Learning
• Workforce Development
• +۷ مورد دیگر

Meera Alagaraja is an Associate Professor in the Department of Educational Administration & Human Resource Development at Texas A&M University's College of Education. Her research focuses on adult learning, performance improvement, and strategic HRD, emphasizing workforce development and organizational well-being. She collaborates with nonprofits to align community well-being with workforce priorities and partners with private-sector organizations to align HR policies with strategic objectives. Her research spans three primary areas: 1) employee well-being programs and health policies, 2) strategic HRD frameworks for organizational performance, and 3) community-based workforce development initiatives. Notable projects include studies on Black American community well-being, empathic organizational leadership, and burnout prevention in military contexts. Dr. Alagaraja's recent work explores intersections between cultural identity (e.g., multiracial student belongingness) and organizational dynamics. Her articles analyze topics like lean management practices, global HRD strategies in emerging markets (e.g., Ghana), and compassion in leadership behavior. While no formal awards are listed, her prolific publication record indicates sustained scholarly contributions to HRD and adult education. Her advising and grant activities are not explicitly detailed in the text, though her collaborations suggest involvement in community-based research projects. No specific labs or teams are mentioned, though her work involves partnerships with non-profits and multinational organizations.

Sonakshi Gargمشاهده پروفایل

پژوهشگر ارشد

• Privacy
• Artificial Intelligence
• Synthetic Data
• +۳ مورد دیگر

Sonakshi Garg is a Research Fellow (Postdoctoral fellow) at the Department of Computing Science, Umeå University, affiliated with the NAUSICA research group (PrivAcy-AWare traNSparent deCIsions). Her office is located at MIT House, MIT.A.420 in Umeå. Dr. Garg's research focuses on the intersection of artificial intelligence and data privacy, with specific expertise in: Privacy-preserving techniques for high-dimensional data and foundation models Synthetic data generation and distribution learning Differential privacy implementations in machine learning Federated learning security and adversarial robustness Geometric and manifold-based privacy methods Her publication portfolio demonstrates significant contributions to privacy-enhancing technologies, particularly through innovative combinations of k-anonymity with differential privacy, federated learning security frameworks, and manifold-based data protection methods. Recent works explore applications in autonomous driving security, COVID-19 forecasting, and Large Language Model privacy preservation. She collaborates with international researchers across Europe and contributes to major conferences including ESORICS, SEC, and SECRYPT. Dr. Garg is an active member of the NAUSICA research group, advancing privacy-aware decision systems through theoretical and applied research.

Siegfried Nijssenمشاهده پروفایل

استادیار

• Data Mining
• Pattern Mining
• Exploratory Data Analysis
• +۵ مورد دیگر

Siegfried Nijssen is an Assistant Professor of Data Mining and Artificial Intelligence at the Catholic University of Louvain (UCLouvain) in Belgium, working within the ICTEAM research institute's Artificial Intelligence and Algorithms group. He has been at UCLouvain since 2016, previously serving as an Assistant Professor at University Leiden (2012-2016) and completing postdoctoral work at KU Leuven (2006-2015). He earned his PhD in Computer Science from University Leiden in 2006. His research focuses on making data analysis simpler through intersections between pattern mining, exploratory data analysis, and programming paradigms in Artificial Intelligence, particularly constraint programming and probabilistic programming. He has developed techniques for analyzing diverse data types including graphs, networks, and multi-relational data. His work bridges theoretical foundations with practical applications in decision tree learning, probabilistic networks, and source code analysis. Nijssen's recent publications demonstrate a strong focus on optimal decision trees, constraint-based pattern mining, and applications in bioinformatics and education. His research shows consistent evolution from foundational graph mining work (including the Gaston algorithm developed in 2004) to current work integrating machine learning with constraint programming for interpretable AI solutions. As an educator, he teaches courses including Mining Patterns in Data, Databases, and Artificial Intelligence and Machine Learning seminars at UCLouvain. He has advised numerous PhD students and postdocs, primarily in collaboration with Pierre Schaus, with former students like Tias Guns now holding professorships.

Jouni Järvinenمشاهده پروفایل

مدرس

• Rough Set Theory
• Lattice Theory
• Non-Classical Logics
• +۴ مورد دیگر

Jouni Järvinen is a University Lecturer in Software Engineering at LUT University in Lahti, Finland, and a Docent in the Department of Mathematics and Statistics at the University of Turku. He holds a PhD in Mathematics and serves as a Mathematics Consultant at TXODDS. His work bridges theoretical and applied research across multiple domains. Affiliations : LUT School of Engineering Sciences, University of Turku Education : PhD in Mathematics Research Interests lie at the intersection of Rough Set Theory , Lattice Theory , and Non-Classical Logics . He explores algebraic structures like Nelson algebras, Kleene algebras, and Galois connections, applying them to problems in Artificial Intelligence and Bioinformatics . His work often connects abstract mathematical frameworks to practical applications in Information Systems and Machine Learning . Publication Trends reveal a focus on Rough Sets and Algebraic Structures across 51 works (2025–1998). Recent studies (2025–2020) examine multigranular rough sets, pseudocomplemented Kleene algebras, and relational correspondences for fuzzy rough approximations. Earlier works (2015–2007) address topics like Tolerance-Based Rough Sets , Galois Connections , and Natural Language Disambiguation . Peer Review Activities include contributions to journals such as Fuzzy Sets and Systems , International Journal of Approximate Reasoning , and Studia Logica . His research spans Theoretical Computer Science , Mathematical Logic , and Biomedical Data Analysis .

Martin Wulf Gerdesمشاهده پروفایل

دانشیار

• eHealth
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.

Daniel Barbaráمشاهده پروفایل

استاد

• Data Mining
• Machine Learning
• Databases
• +۳ مورد دیگر

Daniel Barbará is a Professor in the Department of Information and Software Engineering at George Mason University since 1997. He holds a PhD and MS in Computer Science from Princeton University, and a BS in Electrical Engineering from Universidad Metropolitana. Research Interests: Data mining, machine learning, cybersecurity, mobile computing, and fractal-based data analysis. His work focuses on clustering algorithms, intrusion detection, data compression, and handling high-dimensional datasets. Grants: Multiple NSF and Air Force grants including "Clustering by Impact" (2002-2005) and "Data Mining Support for NIAC" (1999-2000). Scientific Awards: Outstanding Researcher, CS Department, George Mason University Best Paper Finalist at WWW 2002 Projects: Developed ADAM (Intrusion Detection), COOLCAT (Categorical Clustering), Fractal Mining, and Quasi-Cubes (Approximate Query Processing).

Jeongsub Choiمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Data Analytics
• +۶ مورد دیگر

Jeongsub Choi is an Assistant Professor in the Department of Management Information Systems at West Virginia University's John Chambers College of Business and Economics. His work bridges machine learning, data mining, and business intelligence with applications in strategic management, patent analysis, and advanced manufacturing. Ph.D. in Industrial and Systems Engineering, Rutgers University M.S. in Statistics, Rutgers University M.S. in Industrial and Systems Engineering, Rutgers University Choi's research focuses on sparse learning models, network analysis, and virtual metrology systems for semiconductor manufacturing. His work spans predictive maintenance, competitor detection, and anomaly identification in dynamic networks. Recent publications highlight trends in sensor optimization, fault diagnosis, and technology lifecycle modeling. Applications span semiconductor manufacturing, financial transaction networks, and patent citation analysis.

Shaoping Qiuمشاهده پروفایل

استادیار

• Organizational leadership
• Organizational change
• Human resource development
• +۴ مورد دیگر

Shaoping Qiu is an Assistant Professor in the Department of Leadership Studies at Louisiana State University Shreveport, affiliated with the College of Education and Human Development. He joined LSUS in 2023, bringing expertise in leadership development, organizational behavior, and quantitative research methods. Education: PhD in Human Resource Development (Leadership) from Texas A&M University (2019) MA in Educational Leadership from South China Normal University BA in Education with a minor in School Psychology from Hunan Normal University Research Interests span organizational leadership, human resource development, stress and well-being, and service-learning. His work often integrates quantitative methodologies (SEM, HLM, IRT) with STEM education and Industry 4.0 workforce training. Scientific Contributions focus on servant leadership, organizational citizenship behavior, and the psychological impacts of workplace incivility. He has published extensively in journals like Journal of Engineering Education , Leadership & Organization Development Journal , and Tourism Management . Teaching includes courses such as Introduction to Leadership, Communication for Leaders, Statistics, Ethics, and Leadership in Complex Organizations. Office hours are Tuesday, Wednesday, and Thursday from 1:00pm-4:30pm (CST).

• Tourism Management
• Hospitality Business Strategy
• Strategic Management in Tourism
• +۵ مورد دیگر

Dr. Sotirios Varelas is an Assistant Professor at the Department of Tourism Studies of the University of Piraeus specializing in Hospitality Business and Tourism Organization Strategy. He holds a PhD from the Department of Organization and Business Administration of the School of Economics, Business and International Studies of the University of Piraeus, an MBA-TQM in Business Administration, and graduated from the Department of Statistics and Insurance Science. With over 12 years of professional experience as a scientific consultant in tourism organizations, Dr. Varelas has served at the Ministry of Tourism, the Hellenic Tourism Organization, and the Peloponnese Region. He has collaborated with numerous research centers including the Institute of Regional Development, ELKE of the University of Peloponnese, and the Research Center of the University of Piraeus. His research focuses on strategic management in tourism, digital tourism innovations, sustainable tourism practices, and big data applications in the tourism sector. He has published extensively in international journals on topics including blockchain technology in tourism, virtual immersive platforms, artificial intelligence applications, and strategic management during economic crises. Dr. Varelas teaches various courses including Introduction to Tourism, International Economics and Tourism Market, Tourism Development Strategies, Strategic Management of Tourism Businesses, and Contemporary Tourism Issues at the University of Piraeus. He also serves as the student internship coordinator and academic advisor coordinator for the Department of Tourism Studies. As an active leader in the tourism academic community, he is President of the Board of Directors of the Greek Branch of the World Organization for Technology in Tourism and Travel (IFITT) and has created and coordinated postgraduate programs in tourism business administration.

Michael Hiltonمشاهده پروفایل

عضو هیئت علمی

• Software Engineering
• Developer Experience
• Continuous Integration
• +۳ مورد دیگر

Michael Hilton is an Associate Teaching Professor in the Software and Societal Systems Department of the School of Computer Science at Carnegie Mellon University. He also serves as the Associate Department Head for Education and directs both the Software Engineering Minor and Software Engineering Concentration programs. His work bridges academic research with practical software engineering education. Ph.D. in Computer Science, Oregon State University (2017) M.S. in Computer Science, Cal Poly San Luis Obispo (2013) B.S. in Computer Science, San Diego State University (2002) Professor Hilton's research primarily focuses on understanding and improving the developer experience, with particular emphasis on flaky tests, continuous integration practices, and software engineering education. His work combines empirical studies of real-world development practices with educational innovations to enhance how software engineers are trained. He has conducted extensive research on test flakiness, identifying patterns, causes, and potential solutions to this pervasive problem in modern software development. His scholarly contributions reveal a consistent focus on practical software engineering challenges, particularly those affecting developer productivity and software quality. The research trajectory shows increasing attention to educational aspects of software engineering, including team-based learning, structured feedback mechanisms, and the impact of emerging technologies like AI on programming education. Professor Hilton has over 20 years of professional experience in software development, including 9 years at SPAWAR Pacific where he worked on projects for the US Navy, Coast Guard, and White House. This industry background informs his teaching approach, which emphasizes preparing students for real-world challenges they'll face after graduation. He teaches software engineering-focused courses and has developed educational approaches that integrate practical development experience with theoretical foundations. His teaching philosophy centers on providing students with both immediate practical skills and enduring principles that will serve them throughout their careers, with special attention to software engineering in startup environments.

• Food Science
• Ethnology
• Swedish Food Culture
• +۶ مورد دیگر

Richard Tellström is an Associate Professor of Food Science and Ethnologist at the Department of Ethnology, History of Religions and Gender Studies (ERG), Stockholm University. His research focuses on the historical commercialization of Swedish food culture, examining how culinary traditions have evolved into modern dietary frameworks emphasizing food as fuel for the human body. His scholarly work spans themes such as historical food practices cultural heritage commercialization beverage pairing theory policy-driven food systems and has been published extensively in national dietary surveys and gastronomic history. Recent publications highlight trends in 21st-century food anthropology, including pandemic-era culinary adaptations, EU food strategies, and historical commensality studies. His 2015 book Hunger och Törst synthesizes modern Swedish food culture with bodily-centric dietary paradigms.

• Game Research
• Human-centered Artificial Intelligence
• Human-Computer Interaction
• +۶ مورد دیگر

Dr. Pedro Santoro Zambon serves as a Researcher at Utrecht University's Faculty of Science within the Department of Software Technology for Learning and Teaching, where he leads the Collaborative Technologies Lab's GameDevUp project under a prestigious Marie Sklodowska-Curie Postdoctoral Fellowship. Concurrently, he holds the position of Vice Chairman for the Game Incubation Special Interest Group at the International Game Developers Association (IGDA), bridging academic research with industry practice. His academic credentials include a Ph.D. in Communication from São Paulo State University (UNESP) and specialized training in Evidence-Based Public Policy at the University of Oxford's Blavatnik School of Government. This foundation supports his dual expertise in game development methodologies and policy analysis. Zambon's research centers on human-centered artificial intelligence applications for game developers, with particular emphasis on cultural policy frameworks and innovation ecosystems. His work examines how algorithmic matchmaking systems can optimize team collaboration while analyzing policy implementation challenges in creative industries, especially within Brazil's rapidly evolving digital games sector. Methodologically, he combines qualitative field research with quantitative industry census data to evaluate policy effectiveness. Analysis of his 15 most recent publications reveals consistent thematic focus on Brazilian game industry policy evolution, independent developer challenges, and pandemic impacts. His work demonstrates methodological rigor in policy evaluation while highlighting sector-specific innovation patterns, particularly regarding university-industry knowledge transfer and creative cluster development. Marie Sklodowska-Curie Postdoctoral Fellowship (GameDevUp project) Civil Society Representative, Brazilian National Council for Cultural Policies (2019-2022) Chair, Industry Track of Brazilian Games Symposium (2016-2020) Zambon maintains active advisory roles including Game Jam Plus coordination since 2021 and previously served as Market Intelligence Consultant for Brazil's Game Developers Association (Abragames, 2019-2020). His grant portfolio features commissioned research for WIPO, Procolombia, Sebrae, and the Brazilian Ministry of Culture, with current funding from the European Commission's Marie Curie program supporting his algorithmic collaboration research. He actively contributes to the Collaborative Technologies Lab at Utrecht University while expanding international networks through IGDA's Game Incubation SIG, fostering cross-border knowledge exchange between European and Latin American game development communities.

Hyung-Jo Yoonمشاهده پروفایل

دانشیار

• Phraseology
• Computational Text Analysis
• Second Language Writing
• +۳ مورد دیگر

Hyung-Jo Yoon is an Associate Professor in the Department of Linguistics/TESL at California State University, Northridge. His research focuses on phraseology, computational text analysis, second language writing, assessment, and task-based language teaching. He developed the Authorial Voice Analyzer , an automated tool for interactional metadiscourse analysis, which serves as a pedagogical resource for learners. Ph.D., Second Language Studies, Michigan State University (2013-2017) M.Ed., Teaching English to Speakers of Other Languages, University of Pennsylvania (2011-2013) B.A., English Education, Hankuk University of Foreign Studies (2004-2010) TEFL Certificate, University of California, Irvine (2009) His recent work investigates corpus-based measures as alternatives to traditional accuracy metrics in L2 writing, emphasizing pedagogical applications. Collaborative projects address professional development frameworks for ESL teachers, focusing on skill and knowledge requirements for effectiveness. Key research trends include automation of linguistic complexity metrics, validation of multi-word combinations for accuracy assessment, and cross-genre analysis of L2 writing. Subfields span syntactic complexity, metadiscourse profiling, genre differentiation, and cognitive task modeling. 2020 Research Article Award Winner: Cognitive validity of child English-language tests Yoon’s work bridges computational methods with language teaching, advocating for data-driven approaches to both assessment and pedagogy. His AVA tool exemplifies this integration, enabling systematic analysis of authorial voice in academic writing.