Find Academic Supervisors

• Science Education
• Teacher Training
• Intergenerational Practices
• +7 more

Cristiana Mendes is an Assistant Professor at the Polytechnic Institute of Viseu, School of Education, where she serves in the Department of Exact and Natural Sciences. She holds leadership positions including Member of the Department Board, Scientific Committee Member, and Coordinator of textbook evaluation teams for Basic Education across multiple educational cycles. She completed her PhD in Biology (Ecotoxicology and Environmental Biology) in 2016, Master's in Toxicology in 2006, and Bachelor's in Biology and Geology (Teaching) in 2003, all from the University of Aveiro. Her academic trajectory bridges biological sciences with educational practice. Her research spans Science Education, Teacher Training, Environmental Education, and Intergenerational Practices. Dr. Mendes has pioneered innovative approaches through experimental science olympiads and interdisciplinary teaching methods, emphasizing non-formal education and social inclusion via heritage-based learning. Her work connects academic research with practical classroom applications. She leads multiple funded projects including the I Mini-Experimental Science Olympiads, Interdisciplinary Practices in Higher Education (Portugal-Brazil collaboration), and ViseuInterAgeStories (a mobile app promoting social inclusion). Her publication portfolio reveals consistent focus on science education methodologies, teacher development, and ecological assessment. Current projects address science education innovation, interdisciplinary teaching, and social inclusion through technology Research demonstrates strong connection between ecological studies and educational applications Work integrates community engagement with academic research As an educator, Dr. Mendes has supervised seven Master's students and served extensively on thesis committees. Her teaching focuses on natural sciences education for elementary and primary school teachers through practical, inquiry-based approaches. She coordinates textbook evaluation teams and teacher training initiatives, demonstrating commitment to educational quality improvement across multiple educational levels.

Harry MillwaterView profile

Professor

• Fracture Mechanics
• Probabilistic Structural Analysis
• Sensitivity Analysis
• +4 more

Harry Millwater is the Samuel G. Dawson Endowed Professor and Associate Chair for Research in the Mechanical Engineering Department at the University of Texas at San Antonio's Margie and Bill Klesse College of Engineering and Integrated Design. With over three decades of academic and research experience, he has established himself as a leading expert in structural mechanics and computational methods. Dr. Millwater's primary research focuses on fracture mechanics, probabilistic structural analysis, sensitivity analysis, and computational mechanics. His work bridges theoretical developments with practical applications in structural reliability, fatigue analysis, and digital twin technologies. He has pioneered methods using hypercomplex variables for sensitivity analysis, which have significantly advanced the field of computational mechanics and structural engineering. His extensive publication record shows a clear evolution from foundational work in probabilistic structural analysis to cutting-edge research in hypercomplex automatic differentiation applied to structural mechanics. Recent publications demonstrate a strong focus on developing arbitrary-order sensitivity analysis methods using hypercomplex mathematics, with applications spanning structural dynamics, fracture mechanics, additive manufacturing, and uncertainty quantification. His scientific recognition includes multiple U.S. Air Force Research Lab Summer Faculty Fellowships awarded in consecutive years (2005-2007). These prestigious awards reflect the practical impact of his research on aerospace engineering applications. Dr. Millwater's research has been supported by significant funding from defense and aerospace sectors, particularly the Air Force Office of Scientific Research. His work on probabilistic methods for risk assessment of airframe digital twin structures represents a major contribution to modern structural integrity assessment. He has also contributed to educational initiatives focused on improving STEM education at Hispanic-serving institutions. His laboratory work centers on computational mechanics, with emphasis on developing and implementing advanced numerical methods for structural analysis. The ZFEM (Complex Variable Finite Element Method) framework appears to be a cornerstone of his research program, enabling high-precision sensitivity calculations that have broad applications across engineering disciplines.

• Data Science
• Geometric Morphometrics
• Disease Modeling
• +3 more

Dr. Kenneth Soda, Jr. serves as Assistant Professor of Mathematics and Data Science at Quinnipiac University's College of Arts & Sciences, where he has taught since 2019. His academic journey spans biology, computational science, and data applications. Education background: B.S. in Biology, Western Washington University (2009) M.A. in Biology, SUNY Stony Brook (2011) M.S. and Ph.D. in Computational Science, Florida State University Post-Doctoral Researcher, University of Notre Dame (2017-2019) His research integrates data science with biological applications , specializing in geometric morphometrics (statistical analysis of biological shapes) and disease modeling. Current projects examine ecological community structures through Euclidean process distances and pandemic response frameworks. As moderator of the international Morphmet listserv, he facilitates global collaboration in morphometric research. Recent publications demonstrate methodological innovation across epidemiology and ecology , with 2020-2025 works combining serological data, agent-based modeling, and spatial statistics to address vector-borne diseases and pandemic management. His work bridges theoretical computation with real-world public health challenges. Teaching leadership: He designs curriculum for Quinnipiac's Data Science Program and teaches courses including DS 110 (Introduction to Data Science), DS 310 (Algorithms for Data Science), and MA 285 (Applied Statistics), emphasizing career-relevant computational and statistical skills.

Xiaoyan LiView profile

Senior Lecturer

• Question Answering
• Cross-lingual Question Answering
• Information Retrieval
• +4 more

Xiaoyan Li serves as a Senior Lecturer in the Department of Computer Science at Princeton University, where she focuses on teaching and mentoring undergraduate students through junior independent work supervision each semester. Her academic credentials include: Ph.D. in Computer Science, University of Massachusetts Amherst (2006) M.S. in Computer Science, University of Massachusetts Amherst (2006) M.S. in Management Information Systems, Tsinghua University (1996) B.S. in Management Information Systems, Tsinghua University (1992) Dr. Li's research centers on Question Answering systems and Information Retrieval , with pioneering work in novelty detection using sentence-level patterns and cross-lingual applications. Her expertise spans Machine Learning techniques for data mining, relevance modeling, and query expansion, particularly in multilingual contexts. She has made significant contributions to syntactic feature analysis in Chinese question answering and time-based language models for dynamic information needs. Her publication history (2001-2008) reveals a concentrated focus on novelty detection and robust relevance models, with prominent outputs in ACM SIGIR, CIKM, and TREC proceedings. The research trajectory shows evolution from syntactic analysis (early 2000s) to adaptive passage retrieval techniques (late 2000s), consistently addressing core challenges in information access through pattern-based and machine learning approaches. At Princeton, Dr. Li teaches foundational and advanced courses including Machine Learning and Data Science (COS IW02&03), Introduction to Computer Systems (COS217), and Artificial Intelligence (COS402). Previously at Mount Holyoke College, she developed curriculum for Object-Oriented Programming, Data Structures, and Intelligent Information Retrieval courses, demonstrating extensive pedagogical range across computer science disciplines.

• Terahertz Imaging
• Submillimeter-wave Technology
• Quasioptical Systems
• +5 more

Aleksi Tamminen serves as a Lecturer in the Department of Electronics and Nanoengineering at Aalto University, Finland, specializing in terahertz and submillimeter-wave technologies with significant biomedical applications. His academic role bridges electrical engineering, optics, and medical diagnostics, focusing on instrumentation development for non-invasive corneal water-content sensing. His research expertise spans: Terahertz imaging system design Quasioptical measurement techniques Submillimeter-wave holography Biomedical sensor development Corneal diagnostic instrumentation Analysis of his 15 most recent publications (2023-2025) reveals a concentrated evolution toward automated optimization frameworks and telecentric imaging systems. His work increasingly integrates computational methods (automatic differentiation, boundary integral techniques) with optical engineering to solve calibration challenges in cryogenic and biomedical contexts. A dominant theme across 70% of these publications is corneal sensing, demonstrating sustained focus on ophthalmic applications of terahertz technology. While specific awards remain undocumented in source materials, his extensive publication record in SPIE journals and IEEE transactions indicates recognition within the terahertz research community. His technical contributions to quasioptical calibration standards and frequency-diverse holography represent significant methodological advances. Dr. Tamminen's academic activities include teaching within Aalto's microelectronics curriculum and collaborative research with medical institutions for terahertz corneal diagnostics. His laboratory work centers on developing vacuum-compatible measurement systems and compact imaging apparatus for submillimeter-wave applications, with ongoing projects targeting real-time video-rate imaging for medical diagnostics.

Lauri MalmiView profile

Professor

• Computing Education Research
• Programming Education
• Software Visualization
• +5 more

Lauri Malmi is a Professor of Computer Science at Aalto University's Department of Computer Science, School of Science, leading the Learning+Technology research group (LeTech) since 2001. His primary research focus is Computing Education Research with emphasis on programming education tools, automatic assessment systems, and learning analytics. His research interests center on developing and evaluating advanced learning environments for programming education. Key areas include automatic assessment and feedback systems, program simulation and visualization tools, and gamified learning approaches. His empirical work spans qualitative interview studies to educational data mining techniques. He has made significant contributions to theoretical frameworks in computing education and meta-studies of the field. Malmi has chaired major international conferences including Koli Calling (2004, 2008) and ICER (2017-2018). He served as a regular columnist for ACM Inroads (2013-2020) and editorial board member for ACM Transactions on Computing Education and IEEE Transactions on Learning Technologies. His work demonstrates strong interdisciplinary connections between computer science education, learning sciences, and human-computer interaction. ACM SIGCSE award for Outstanding Contribution to Computer Science Education (2020) 2016 Learning Contribution Achievement Award (2017) Excellent Education in Electronics (2000) Teacher of the year 1999, Helsinki University of Technology Malmi has led significant educational initiatives including the national Center of Excellence in Education at Helsinki University of Technology (2001-2006) and the Aalto Online Learning digitalization project. His research group has secured numerous grants for developing innovative educational technologies and studying their impact. The LeTech group maintains active collaborations across Europe and globally in computing education research. His work extends into healthcare education through virtual reality childbirth training applications, demonstrating the transferability of educational technology approaches across domains. Malmi has contributed extensively to establishing methodological standards in computing education research through conference workshops and special journal issues.

James MaguireView profile

Associate Professor

• Climate Change
• Digital Infrastructures
• Energy Studies
• +7 more

James Maguire is an Associate Professor at IT University of Copenhagen, affiliated with the Technologies in Practice research group and Center for Climate IT. His work bridges anthropology and computational studies, focusing on the intersection of climate and digital infrastructures, energy systems, and data governance. PhD in Anthropology-STS from IT University of Copenhagen (2017) MSc in Anthropology from University of Copenhagen (2011) BA in Anthropology & Philosophy from National University of Ireland (2006) Maguire's research explores the societal implications of digital industrialization, biotechnology, and energy systems. Key themes include the Anthropocene, climate crisis mitigation, and the governance of big data. His recent work examines digital mistrust, cloud computing ethics, and speculative solutions for environmental challenges. His publications span topics like digital infrastructure , climate policy , and energy planning . Notable collaborations include projects funded by the European Commission and Velux Foundation, with interdisciplinary teams across Denmark and international partners. Maguire contributes to public discourse through media outlets like RESET climate magazine and has participated in committee work for academic recruitment. His work emphasizes ethnographic methods and critical analysis of technological interventions in global crises.

Alexander RozenblyumView profile

Associate Professor

• Special Functions
• Mathematical Physics
• Representation Theory
• +1 more

Alexander Rozenblyum serves as an Associate Professor in the Department of Mathematics within the School of Arts & Sciences at New York City College of Technology, City University of New York (CUNY). He holds a Dr. Sc. in Mathematics from St. Petersburg University, Russia, and a Ph.D., M.Sc., and B.S. in Mathematics from Belarusian University, Belarus. With approximately 50 peer-reviewed publications and co-designer of the Master Management Tool (MMT) for institutional scheduling, he maintains active dual roles in research and academic administration. His educational background includes: Dr. Sc. in Mathematics, St. Petersburg University, Russia Ph.D. in Mathematics, Belarusian University, Belarus M.Sc. in Mathematics, Belarusian University, Belarus Dr. Rozenblyum's research spans theoretical mathematics and pedagogical innovation. His core work investigates special functions of mathematical physics and group representation theory, yielding foundational publications in journals like Acta Applicanda Mathematicae and Journal of Mathematical Physics. Concurrently, he pioneers contemporary teaching methodologies to enhance mathematics education, reflecting his commitment to both theoretical advancement and practical instructional improvement. His publication timeline reveals sustained focus on representation theory, evolving from Lie group analyses (1992) to quantum algebra applications (2005), while his 2003 trigonometry textbook demonstrates parallel dedication to educational resource development. This dual trajectory positions him at the intersection of pure mathematical research and classroom pedagogy. Research funding includes three competitive PSC-CUNY Research Grants and a U.S. Department of Education grant for 'The Transfer of Learning from Mathematics and Physics to Computer Systems and Engineering Applications,' highlighting applied relevance of his theoretical work. Though specific advisees aren't documented, his extensive course offerings indicate significant student mentorship capacity. He co-developed the Master Management Tool (MMT) with Prof. Z. Chen, an institution-wide scheduling system deployed across all City Tech schools and departments, showcasing his technical contributions to academic operations beyond traditional faculty duties.

Andreas SavvaView profile

Associate Professor

• Geometric Modeling
• Subdivision Surfaces
• Spline Methods
• +3 more

Dr. Andreas Savva is an Associate Professor at the Department of Computer Science , School of Sciences and Engineering , University of Nicosia . He has over 25 years of teaching experience across institutions like the University of North London, Kingsway College, Intercollege, and the University of Nicosia. Education: BSc Hons (First class) in Mathematics and Computing, University of North London PhD in Computer Graphics, University of North London His research focuses on Geometric Modeling , Subdivision Surfaces , and Spline Methods , with over 50 publications. Recent work includes interdisciplinary studies in Computing Education , Accessibility in Information Systems , and Real-Time Emotional Analysis via machine learning. The 15 most recent articles span topics in geometric modeling, software development, and educational technology. Trends include applications of subdivision surfaces in design, stakeholder-driven curriculum reform, and emotional analysis in educational contexts. Grants & Collaborations : He has participated in local and international funded projects, with collaborations across Cyprus, Greece, and the UK. His work aligns with UN Sustainable Development Goals, particularly education quality.

Lauren MargulieuxView profile

Associate Professor

• Computer Science Education
• Computational Literacy
• Learning Sciences
• +3 more

Lauren Margulieux is an Associate Professor of Learning Technologies at Georgia State University in the Department of Learning Sciences within the College of Education & Human Development. She serves as the founding director of the Snap Inc. Center for Computing in Teacher Education, where she coordinates Georgia State University's teacher preparation programs to integrate computing into pre-service teacher training across all disciplines. Her research focuses on computer science education for computing and programming novices, with particular emphasis on promoting computational literacy for all learners. She investigates how to effectively integrate computing into teacher preparation and how to design instructional materials that support novice learners in programming and computational thinking. Her work spans the learning sciences, educational technology, and STEM education, with applications in K-12 teacher preparation and undergraduate computer science education. Margulieux's recent publications reveal a strong focus on instructional design principles for computing education, particularly subgoal labeling, worked examples, and other cognitive load-reducing strategies. Her research examines how these approaches impact learning across multiple STEM disciplines and how spatial skills relate to success in computing. She has also contributed significantly to measurement in computing education research and exploring how to effectively prepare teachers to integrate computing into their classrooms. NSF CAREER Award recipient Principal Investigator on multiple NSF grants totaling over $1.5 million Author of numerous influential publications in computer science education Active contributor to the learning sciences community through blog and professional development As an NSF panelist and CAREER award recipient, Dr. Margulieux actively mentors other researchers in grant writing and research design. She has developed extensive resources for education researchers, particularly those new to the learning sciences, through her blog and professional development activities. Her work bridges theory and practice, connecting foundational learning sciences principles with practical applications in computer science education.

Maria José Serol de Brito CorreiaView profile

Associate Professor

• Microbiology
• Oral Microbiome
• Molecular Biology
• +3 more

Maria José Serol de Brito Correia serves as an Associate Professor at the Faculty of Dental Medicine of the Catholic University of Portugal (UCP) in Viseu, where she has been a faculty member since April 2001. She coordinates the first cycle of the Integrated Master's degree in Dental Medicine and teaches Molecular Genetics and Oral Microbiology courses. Her educational background includes: PhD in Biology (2001) from City University of New York (recognized by Universidade do Algarve in Biology, specialty of Microbiology) Master's degree in Biology (1996) from City University of New York Degree in Marine Biology and Fisheries (1994) from Universidade do Algarve Dr. Correia's research program focuses on the ecology of the human microbiome and its relationship with the host, with particular emphasis on salivary diagnostics. She has developed an extensive research portfolio examining the oral cavity as a diagnostic window for systemic conditions, including diabetes, cardiovascular disease, and autism spectrum disorders. Her work bridges basic microbiology with clinical applications, developing bioinformatic tools like OralCard and SalivaPRINT for analyzing oral biomarkers. She has established community-based research partnerships with the Senior Activity program of Viseu municipality and the Association for Developmental Disorders and Autism (APPDA)-Viseu, demonstrating her commitment to translational research that directly benefits local populations. Analysis of her publication record reveals a consistent research trajectory focused on oral microbiome characterization, salivary biomarker discovery, and computational approaches to oral health diagnostics. Her work spans fundamental microbiology studies of oral pathogens to clinical applications of salivary diagnostics, with increasing emphasis on bioinformatics tools for oral health assessment. The progression of her research shows movement from basic characterization of oral microorganisms toward sophisticated diagnostic applications using proteomics and computational biology. Dr. Correia is an active member of the Interdisciplinary Research Center in Health (CIIS) at UCP, where she contributes to the SalivaTec laboratory's mission of developing saliva-based diagnostic approaches. Her collaborative work extends across disciplines, connecting dental medicine with molecular biology, bioinformatics, and public health research.

• Occupational Safety
• Civil Defense
• Environmental Protection
• +3 more

Сергій Миколайович Журавель is a Senior Lecturer at the Department of Occupational Safety and Environmental Protection within the Faculty of Construction, Architecture and Design at National University 'Zaporizhzhia Polytechnic'. With academic activity spanning since 2010, he holds multiple advanced degrees including specialized training in civil defense and occupational safety. His professional credentials include associated membership in the European Community for Occupational Safety (ESOP) and the International Foundation of Scientists and Educators (IESF). Dr. Zhuravel's research focuses on critical areas of occupational safety, civil defense, and emergency management. His educational background spans electromechanics, economics, and civil security, creating a unique interdisciplinary perspective on safety systems. His scholarly output demonstrates particular attention to Ukraine's specific safety challenges, including ecological security in conflict-affected regions and wartime safety protocols. The analysis of his 15 most recent publications reveals a strong emphasis on practical safety implementation, with significant contributions to civil defense education, emergency response systems, and occupational risk management. His work shows increasing relevance to Ukraine's current security context, particularly evident in his 2022-2023 publications addressing ecological safety in conflict zones. Certificate of Honor from the Department of Civil Protection of the Zaporizhzhia Regional State Administration (2021) Certificate of Honor from National University 'Zaporizhzhia Polytechnic' (2019) Certificate from the Zaporizhzhia City Council Administration for Oleksandrivskyi District (2018) Dr. Zhuravel has developed comprehensive educational resources including textbooks and terminological dictionaries that standardize safety terminology across Ukrainian institutions. His professional development activities demonstrate commitment to contemporary safety challenges, including specialized training in wartime first aid and explosive risk prevention completed in 2023. His work bridges theoretical safety frameworks with practical implementation in Ukraine's evolving security environment.

Venkittaraman Pallipuram KrishnamaniView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• High-Performance Computing
• +3 more

Dr. Venkittaraman Pallipuram Krishnamani is an Associate Professor in the Electrical and Computer Engineering department at the University of the Pacific's School of Engineering and Computer Science. He serves as the Program Chair of the Master of Science in Engineering program, demonstrating leadership in academic program development. His expertise bridges engineering and computer science disciplines, with a focus on creating practical frameworks that empower domain scientists. Dr. Pallipuram's educational background includes: PhD in Computer Engineering from Clemson University (2013) MS in Computer Engineering from Clemson University (2010) Bachelor of Technology from National Institute of Technology, Tiruchirapalli, TN India (2008) Dr. Pallipuram's research focuses on applying machine learning, natural language processing, and high-performance computing to solve real-world problems across various domains. His work particularly emphasizes developing user-friendly frameworks that enable domain scientists in chemistry, physics, education, and medicine to effectively utilize advanced computing technologies. His A2Cloud series provides practical solutions for cloud resource selection, while ChatReview offers innovative approaches to analyzing large survey datasets through natural language processing. His research demonstrates a consistent commitment to bridging theoretical computer science with practical applications that advance scientific discovery. His recent publications reveal a strong trend toward educational data mining and machine learning applications in education, alongside continued work in cloud computing frameworks. The research shows increasing focus on using AI to enhance teaching and learning experiences, with several 2024 publications addressing student achievement prediction and engineering education redesign. His work consistently combines theoretical rigor with practical implementation, creating frameworks that solve specific computational challenges for domain scientists. Dr. Pallipuram actively mentors undergraduate and graduate students in his research group, providing opportunities for hands-on experience with cutting-edge technologies. His collaborative approach is evident in his numerous co-authored publications across diverse domains including education, public health, and scientific computing. While specific grant information isn't detailed in the provided text, his sustained research output suggests successful funding acquisition to support his computational research initiatives. His laboratory work centers around developing the A2Cloud series of frameworks and ChatReview, creating practical tools that help domain scientists navigate complex computing environments. These projects involve interdisciplinary collaboration with chemists, physicists, educators, and medical professionals, reflecting his commitment to applying computer engineering solutions to advance science across multiple fields.

Søren KnudsenView profile

Assistant Professor

• Information Visualization
• Human-Computer Interaction
• Data Visualization
• +3 more

Søren Knudsen is an Assistant Professor at the Digital Design Department, IT University of Copenhagen and holds a Marie Curie Fellowship for postdoctoral work at the University of Copenhagen. He serves as Academic Director of the Human Data Interaction Lab. Positions: Assistant Professor, Marie Curie Postdoctoral Scholar Affiliations: IT University of Copenhagen, University of Copenhagen Key Roles: Academic Director, Human Data Interaction Lab His research centers on information visualization and human-computer interaction , particularly in face-to-face and online contexts. He explores how large-area displays and social media can enhance data comprehension and collaborative discussion. Notable work includes surveys on interactive visualization techniques for large displays, frameworks for data visualization education , and EMR-based algorithms for healthcare performance evaluation. His publications span journals like IEEE Transactions on Visualization and Computer Graphics and PLOS ONE . Awards and honors: Marie Curie Fellowship He collaborates across disciplines, with ties to healthcare analytics, educational technology, and computer science departments. His recent studies address challenges in visualization design handoff , proxemics , and ubiquitous data interaction .

• Bilingual Education
• Content and Language Integrated Learning (CLIL)
• Language Policy
• +6 more

Francisco José Lorenzo Bergillos is a Professor at Universidad Pablo de Olavide in the Department of Philology and Translation . His research focuses on Bilingual Education , Content and Language Integrated Learning (CLIL) , and Language Policy , with significant work on Second Language Acquisition and Historical Literacy . He has published extensively on bilingual program implementation in monolingual regions, particularly in Andalusia, Spain. His scholarly work examines the interdependence of language and content in CLIL, disciplinary literacies across Europe, and the role of connectives in L2 academic writing . Using computational tools like Coh-Metrix, he has tracked longitudinal language development in bilingual history education. His research also addresses equity in bilingual systems and policy adaptation to regional contexts. Key trends in his publications include empirical validation of CLIL effectiveness, analysis of cognitive academic language proficiency (CALP) , and critiques of one-size-fits-all educational models . He emphasizes the need for complex research frameworks in bilingual studies and has contributed to debates on language integration strategies in non-traditional contexts.