Find Academic Supervisors

• Adult Education
• Critical Pedagogy
• Social Justice
• +7 more

Juha Suoranta is Professor of Adult Education at the University of Tampere's Faculty of Social Sciences, where he researches and teaches social science methodology, public sociology, and critical pedagogy. His academic journey includes professorships at University of Lapland (1997-2004) and University of Joensuu (2004-2006), along with adjunct professor positions in music education at Sibelius Academy and media education at University of Tampere. His research interests span critical pedagogy, adult education, social justice, public sociology, and wikilearning. Suoranta approaches education as a tool for social transformation, emphasizing how sociological imagination helps address societal problems. His work bridges theoretical frameworks with practical activism, particularly evident in his advocacy for refugee rights. Analysis of his recent publications reveals consistent engagement with Paulo Freire's critical pedagogy, digital literacy, and social justice education. His scholarly output demonstrates interdisciplinary connections between sociology, education, media studies, and political theory, with increasing focus on digital platforms as spaces for democratic knowledge production and social change. Adult Educator of the Year 2008 Student Writer's Award 2012 (Finnish Nonfiction Writers Association) Professor Suoranta has supervised numerous doctoral students and served as conferrer at Tampere University's 2025 doctoral ceremony. His research has been supported by the Academy of Finland and Foundations' Professor Pool (2015-2016), reflecting significant recognition of his scholarly contributions. He maintains active international collaborations with scholars across multiple continents. As founder of the Paulo Freire Center–Finland (2007), Suoranta leads initiatives promoting critical pedagogy in Nordic educational contexts. His work with wikilearning explores digital platforms as democratic spaces for knowledge production, aligning with his broader commitment to educational practices that challenge power structures and promote social justice.

• Information and Communication Sciences
• Digital Humanities
• Epistemology of information and documents
• +4 more

Olivier Le Deuff is a Professor of Information and Communication Sciences at the University of Bordeaux Montaigne, specifically at the IUT (Institut Universitaire de Technologie) Bordeaux Montaigne. He has been teaching at this institution since 2011 and became a university professor in 2023. He is the head of the third year of the Bachelor of Technology (BUT) in Information and Communication, specializing in Digital Information in Organizations. Recently, he was appointed as a senior member of the Institut Universitaire de France (IUF) for the Class of 2025, a distinction recognizing the scientific excellence of his academic work. His academic affiliations include: University of Bordeaux Montaigne / IUT Bordeaux Montaigne (Current) MICA research unit (Current) Institut Universitaire de France (IUF) - Senior Member, Class of 2025 Université de Montréal (EBSI) - Invited professor University of Luxembourg (C2DH) - Invited researcher GIS des URFIST - President of scientific council since 2022 Professor Le Deuff's research focuses on the epistemology of information and documents, digital humanities, literacies (informational, digital, algorithmic), and open-source intelligence (OSINT) practices. His work explores the relationship between documentation, knowledge organization, and digital technologies, with particular attention to how these elements shape contemporary information practices. His recent IUF project 'HyperION' investigates digital investigation practices through the concept of 'hyperinvestigation,' combining OSINT methodologies with document engineering. Professor Le Deuff is the author of several influential books, including 'La formation aux cultures numériques' (2009), 'Humanités digitales : historique et développements' (2018), and 'Hyperdocumentation' (2021). He has also created open-source knowledge visualization tools such as Otletosphere and Cosma, which support digital humanities research and OSINT investigations. His research bridges theoretical frameworks with practical software development, reflecting his commitment to combining scholarship with technological innovation. His scientific recognition includes being appointed as a senior member of the Institut Universitaire de France (IUF), Class of 2025. This prestigious appointment places him among France's most distinguished researchers and provides additional resources to advance his work on hyperinvestigation and digital documentation. Professor Le Deuff leads the MatrioscIA project, which examines how AI technologies are transforming OSINT methodologies, particularly in investigative journalism. He has directed or participated in numerous research projects including RICSA for the Maif Foundation, ANR HyperOtlet, and the AlgoJ project with Rayya Roumanos. His work demonstrates a consistent commitment to understanding the evolving relationship between information, documentation, and digital technologies. He has supervised research through his habilitation 'Documentation and digital humanities' (defended in 2017) and currently co-directs the E3D axis of the MICA laboratory. His international collaborations include work with scholars at the University of Montréal and the University of Luxembourg, reflecting the global relevance of his research on digital documentation and information practices.

Anja Van den BroeckView profile

Associate Professor

• Work Motivation
• Job Design
• Employee Well-being
• +5 more

Dr. Anja Van den Broeck is an Associate Professor at the Department of Work and Organization Studies within KU Leuven's Faculty of Economics and Business (Campus Brussels). She earned her Ph.D. in Work and Motivational Psychology from KU Leuven in 2010, with her doctoral research focused on the Job Demands-Resources Model and Self-Determination Theory. Her academic trajectory includes positions as lecturer at University College Brussels (2010) and Assistant Professor at KU Leuven (2014) before her promotion to Associate Professor in 2016. Her research examines how work design impacts employee motivation, well-being, and performance. Core interests include: Self-Determination Theory applications in workplace contexts Job characteristics and psychosocial aspects of work Employee engagement, burnout, and sustainable careers Organizational design during technological and societal shifts (e.g., COVID-19, robotization) Her publications frequently appear in premier journals like Academy of Management Annals and Journal of Management , with research cited over 7,987 times (H-index: 36). Honors include: 2017 Top Article in Journal of Management 2018 Publons Best Reviewer Award (Psychology) 2014 Academy of Management Best Reviewer Award 2008 Schelstraete & Desmedt HR Award She secured €1.5 million in research grants (FWO, BOF, Vlir-Uos) and has supervised 14 PhD students (8 completed, 6 ongoing). She maintains global collaborations with scholars from Michigan State, University of Western Australia, and Erasmus University. Her service includes membership in KU Leuven's campus council, contributions to prevention advisor training programs, and development of open-source tools for HR practices ( langerwerken.be , kankerenwerk.be ). She regularly advises organizations like Fortis Colruyt and governmental bodies on evidence-based work design.

Laura DietzView profile

Associate Professor

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +6 more

Laura Dietz is a tenured Associate Professor in the Department of Computer Science at the University of New Hampshire, where she leads the TREMA lab. Her academic journey began with a PhD from the Max Planck Institute for Informatics in Saarbruecken, Germany (2011), followed by postdoctoral positions at the University of Massachusetts Amherst (2010-2015) and University of Mannheim (2015-2016). Her educational background includes PhD studies at both the Max Planck Institute for Informatics (2007-2011) under Prof. Gerhard Weikum and Prof. Tobias Scheffer, and earlier research at Humboldt University in Berlin. She has built a distinguished career bridging theoretical computer science with practical applications in information retrieval and machine learning. Dietz's research primarily focuses on the intersection of information retrieval, natural language processing, and knowledge graphs, with a parallel research initiative in watershed data science. She is particularly known for her work on entity-aspect linking, complex answer retrieval, and the vision of automatic Wikipedia construction. Her approach integrates fine-grained knowledge annotations with text understanding to create comprehensive information systems that go beyond traditional 10-blue-links search paradigms. In watershed data science, she applies similar machine learning techniques to environmental data streams, focusing on solute transport analysis during storm events. Her recent publications reveal a strong trend toward fine-grained semantic understanding, particularly in entity-oriented search tasks. She has pioneered methods for entity-aspect linking that significantly improve retrieval accuracy by capturing different contexts in which entities appear. Her work increasingly integrates knowledge graphs with neural architectures, showing sophisticated understanding of how to leverage both structured and unstructured information for better search experiences. Best paper award at JCDL 2018 for work on entity-aspect linking NSF CAREER Award (2019-2023) for "Utilizing Fine-grained Knowledge Annotations in Text Understanding and Retrieval" OSSI Award 2013 from UMass ICB3 for open-source hardware/software Dietz actively mentors PhD and Masters students through the TREMA lab, with current research focusing on entity ranking, topic extraction, conversational search, and watershed forecasting. Her grant portfolio includes the NSF CAREER award and funding from the Northeast Big Data Innovation Hub for forecasting salinity in rivers during storm events. She has also coordinated the TREC Complex Answer Retrieval track (2017-2019), creating important benchmarks for the IR community. The TREMA lab (Text Retrieval, Entity Modeling, and Applications) serves as the hub for Dietz's research activities, bringing together students and collaborators to work on cutting-edge problems in information access. The lab's work spans both theoretical contributions to information retrieval and practical applications in domains ranging from environmental science to scientific publication analysis.

Nicola IalongoView profile

Researcher

• Bronze Age Archaeology
• Ritual and Religion in Prehistory
• Exchange Economies
• +5 more

Dr. Nicola Ialongo is a prehistoric archaeologist based at Georg-August-Universität Göttingen within the Department of Prehistoric and Early History . His work focuses on the Bronze Age of Europe , particularly examining economic systems through material evidence like balance weights and bullion. Specializes in exchange economies of 2nd millennium BCE Europe Develops computational tools (e.g., CQARCHAEO ) for quantitative analysis Active in fieldwork coordination and excavation leadership Education: Graduated from Sapienza – University of Rome (2004) PhD in Prehistoric Archaeology, Sapienza (2011) Research Interests span a multidisciplinary approach to Bronze Age Europe: Analyzing weight systems and pre-coinage monetary devices to understand market integration Studying sanctuaries and hoards to explore social and economic dynamics Establishing chronological frameworks for Italy and the Western Mediterranean Investigating landscape archaeology and settlement patterns in Etruria and Sardinia Recent publications reveal trends in: 2025 : Quantifying Bronze Age balance systems 2024 : Exploring economic continuity post-coinage and metal fragmentation practices 2023 : Questioning gender norms in funerary contexts Excavation Leadership includes: Vice-Director at Monte Croce-Guardia (Marche, 2010–2016) Vice-Director at Monte Cimino (Latium, 2010–2016) Fieldwork Coordinator at Broglio di Trebisacce (Calabria, 2009–2015) Field Director in Sardinian sites (2004–2008)

• Demography
• Mortality Analysis
• Fertility Trends
• +5 more

László Németh is an Affiliate Researcher at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany, affiliated with the Department of Demographic Data. His work centers on demographic analysis with emphasis on mortality, fertility, life expectancy, and socioeconomic differentials in population health. His research interests span demography, mortality analysis, fertility trends, life expectancy, health disparities, migration studies, and statistical demography. Németh contributes significantly to major demographic databases including the Human Fertility Database, Human Mortality Database, and Short-term Mortality Fluctuations data series. His recent work addresses pandemic impacts on population dynamics, educational inequalities in health outcomes, and methodological innovations in mortality reconstruction. Németh's publications (2015-2023) reveal a methodologically rigorous approach to contemporary demographic challenges, particularly pandemic-related mortality shocks and fertility responses. Key thematic trends include socioeconomic determinants of longevity, cross-national comparisons of health disparities, and development of open-source analytical tools for demographic data. His work consistently involves large-scale international collaborations and contributes to foundational demographic resources used globally. He actively participates in MPIDR projects including the Human Fertility Collection, Migration and Mobility of Scholars, Scholarly Migration Database, and Vanguard Project on mortality and life expectancy in population groups, all aimed at advancing open-access demographic science.

• Ecoacoustics
• Biodiversity Monitoring
• Machine Learning Applications
• +5 more

Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems. His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring. Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications. Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature , Nature Reviews Biodiversity , and Proceedings of the National Academy of Sciences , demonstrating significant scholarly engagement within the ecological research community. He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.

Xi WuView profile

Assistant Professor

• Information Economics
• Digital Platforms
• Mobile Applications
• +5 more

Xi Wu serves as Assistant Professor in the Department of Information Systems and Operations Management at Tilburg School of Economics and Management, Tilburg University. Her research examines how technologies transform value creation and capture processes in firms, with expertise spanning information economics, digital innovation, and technology policy. She earned her Ph.D. from Temple University's Fox School of Business in 2022. Her educational foundation includes a doctoral degree in Management Information Systems from Temple University, where she developed advanced methodological training in econometrics and analytical modeling. This background supports her interdisciplinary research approach bridging information systems, economics, and law. Dr. Wu's research program investigates critical questions in digital economies, focusing on digital platforms, mobile applications, software development ecosystems, and intellectual property frameworks. She examines how legal environments shape innovation (particularly through side projects), how subsidies influence sustainable technology adoption, and how data regulations affect market competition. Her work employs sophisticated econometric techniques, machine learning applications, and theoretical modeling to generate actionable insights for both academic and policy communities. Recent publications reveal a consistent trajectory examining institutional and technological factors in digital markets. The 2025 MIS Quarterly article analyzes legal frameworks around side project ownership using landmark case evidence, while the 2023 Journal of Public Policy & Marketing study quantifies electric vehicle subsidy impacts. Working papers extend this agenda to data privacy regulations, mobile app development responses to breaches, and open innovation in AI models, demonstrating methodological versatility across policy-relevant domains. Dr. Wu actively contributes to academic instruction through courses including Computer Programming for EOR, Society in the Digital Age, and Data Analytics. Her teaching integrates real-world technology policy challenges with technical skills development. Current research projects indicate active grant involvement in digital economy studies, though specific funding sources aren't detailed in available materials. She maintains collaborative relationships across institutions as evidenced by multi-university co-authorships and international research networks.

• Decision Theory
• Social Choice Theory
• Multicriteria Decision Making
• +4 more

Olivier Cailloux serves as a Lecturer at LAMSADE (Laboratoire d'Analyse et Modélisation de Systèmes pour l'Aide à la Décision) within Université Paris-Dauphine, part of PSL University. His academic career spans computer science and decision theory, with significant contributions to the Decision Deck project as a founding member. This open-source initiative provides practical tools for decision-making methodology practitioners and educators. Cailloux's research expertise centers on decision theory and social choice, with particular emphasis on classification aggregation, voting systems, and multicriteria analysis. His work bridges theoretical foundations with practical applications, ranging from economic design principles to bioinformatics implementations. The interdisciplinary nature of his research is evident in collaborations spanning economics, computer science, and molecular biology, particularly in genomic analysis of the BRCA1 gene. His publications demonstrate a consistent focus on formal frameworks for deliberated judgment and robust decision support systems. Analysis of Cailloux's publication record reveals strong trends in computational social choice and decision support methodologies. His recent work (2023-2024) focuses on classification aggregation without unanimity requirements, representing cutting-edge developments in social choice theory. Earlier contributions established foundations for preference modeling with incomplete information and formal frameworks for deliberated judgment. His interdisciplinary approach is particularly notable in bioinformatics applications where decision theory principles are applied to genomic analysis. Cailloux maintains active research collaborations across multiple institutions, as evidenced by his co-authored publications with researchers from diverse fields. His work with the Decision Deck project demonstrates commitment to creating accessible, open-source tools for both academic and practical applications of decision science. The laboratory environment at LAMSADE provides a fertile ground for his interdisciplinary research, connecting theoretical computer science with real-world decision challenges.

• Nephrology
• Transplantation Medicine
• Immunology
• +2 more

Søren Schwartz Sørensen serves as a Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, specializing in Internal Medicine with a focus on Nephrology. Based at Blegdamsvej 3, Copenhagen, he maintains active clinical and research roles with contactable institutional email (soeren.schwartz.soerensen@regionh.dk) and phone (+4535452700), reflecting current engagement within the Faculty of Health and Medical Sciences. His primary research domains encompass Nephrology, Transplantation Medicine, Immunology, Infectious Diseases in immunocompromised hosts, and Robotic Surgery innovations. Recent work investigates viral pathogenesis in transplant recipients, surgical complications in living donor nephrectomy, and immunological responses to vaccination, demonstrating interdisciplinary integration of clinical practice and laboratory research. Analysis of his 114 research outputs reveals concentrated activity in kidney transplantation virology (adenovirus, BKPyV, Torque teno virus), with emerging emphasis on robotic surgical techniques. The 2024-2025 publications show strong collaboration networks across Danish hospitals and international institutions, particularly in clinical trials like ORAKTx comparing robotic versus open transplantation approaches. No scientific awards were documented in the source material. Dr. Sørensen's research leadership is evident through principal investigator roles in clinical trials and multicenter cohort studies, though no student mentorship details are provided. His work receives attention across academic platforms (Mendeley) and social media (X, Bluesky), indicating field relevance. He operates within the nephrology division of Copenhagen University Hospital (Region Hovedstaden), collaborating closely with transplantation surgeons, infectious disease specialists, and immunology researchers in a high-volume clinical setting focused on improving transplant outcomes.

Ulrich EiseneckerView profile

Professor

• Software Engineering
• Generative Software Development
• Software Product Lines
• +5 more

Professor Ulrich Eisenecker serves as the Director of the Institute for Business Informatics at Leipzig University's Faculty of Economics and Business Administration. He holds the Chair of Business Informatics with specialization in software development for business and administration, a position he has maintained since October 2004. Prior to this, he served as Dean of the Faculty (2012-2016) and Pro-Dean (2008-2012). His academic journey includes professorships at Kaiserslautern University of Applied Sciences (1999-2004) and Heidelberg University of Applied Sciences (1995-1999), following research positions at Daimler-Benz Research Institute and Mannesmann Kienzle GmbH. Professor Eisenecker's research focuses on Generative Software Development , Software Product Lines , Software Visualization (including 2D, 3D, AR and VR applications), and E-Assessment systems . His work bridges theoretical computer science with practical business applications, particularly evident in his application of set theory to software features and product lines. He leads the ongoing 'Visual Software Analytics' project and has previously directed projects funded by the European Social Fund and German Federal Ministry of Education and Research. His publication record spans over two decades, highlighted by the influential 2000 book 'Generative Programming' co-authored with K. Czarnecki and the 2017 Most Influential Paper Award from the Software Product Line Conference. Recent work (2023-2025) continues to advance software engineering and educational technology, particularly in automated assessment systems using AI techniques. Notable recognition: Most Influential Paper Award from Software Product Line Conference 2017 (SPLC 2017) Professor Eisenecker supervises doctoral and master's students, with numerous successful completions including Dr. Richard Müller, Dr. Max Lillack, and Dr. Johannes Kristan. His research group includes several scientific staff members and regularly publishes with student co-authors. He teaches 'Introduction to Computer Science' for economics students, 'Programming,' and 'Software Engineering' courses, integrating his research in automated feedback systems into his pedagogy. His research group maintains strong connections between academic research and practical applications, particularly through open source initiatives and industry collaborations focused on software analytics and educational technology.

Clive OppenheimerView profile

Professor

• Volcanology
• Remote sensing of volcanic activity
• Volcanic gas emissions
• +5 more

Clive Oppenheimer is a distinguished British volcanologist and Professor of Volcanology in the Department of Geography at the University of Cambridge. With a career spanning several decades, Professor Oppenheimer has established himself as a leading expert in volcanic processes, remote sensing of volcanic activity, and the historical impacts of major eruptions on climate and human societies. His academic journey began with a Bachelor of Arts in Natural Sciences Tripos from the University of Cambridge in 1986, followed by a PhD from the Open University where his thesis investigated the use of remote sensing in volcanology under the supervision of Peter Francis and David Rothery. Professor Oppenheimer's research encompasses a wide range of volcanic phenomena: Volcanic gas emissions and degassing processes, particularly SO 2 , H 2 S, and CO 2 Remote sensing techniques for monitoring volcanic activity Climate impacts of historical and prehistorical volcanic eruptions Analysis of major volcanic events such as Tambora (1815), Samalas (1257), and Toba (~74,000 years ago) Volcanic hazard assessment and risk management Interdisciplinary connections between geology, archaeology, and history His scholarly output is extensive, with numerous high-impact publications that demonstrate consistent research activity through 2023. Professor Oppenheimer's work shows particular strength in interdisciplinary research, connecting geological science with historical, archaeological, and climate science perspectives. Among his most significant contributions is the book "Eruptions that Shook the World" (2011), which explores how major volcanic events throughout Earth's history have influenced climate patterns, ecosystems, and human civilizations. This work has been widely praised for its integration of scientific rigor with historical narrative. Professor Oppenheimer maintains active research collaborations across multiple institutions including the University of East Anglia, Open University, Karnatak University, University of Oxford, and University of Orléans, reflecting the international recognition of his expertise in volcanology.

Preetha ChatterjeeView profile

Assistant Professor

• Software Engineering
• Software Analytics
• Empirical Software Engineering
• +7 more

Dr. Preetha Chatterjee is an Assistant Professor in the Department of Computer Science at Drexel University's College of Engineering, where she leads the SOftware Engineering and Analytics Research (SOAR) Lab. Her academic career spans software engineering research, teaching, and service, with a focus on improving developer productivity through advanced analytics and tools. Dr. Chatterjee earned her M.S. and Ph.D. in Computer Science from the University of Delaware, advised by Dr. Lori Pollock, following 5+ years of industry experience as a Software Engineer. Her educational background bridges practical industry experience with rigorous academic training. Her research focuses on Software Engineering with emphasis on developing tools, knowledge sources, and strategies to support software maintenance and improve developer productivity. She incorporates evidence from mining software repositories, conducting empirical studies, and adapting state-of-the-art techniques from Natural Language Processing and Machine Learning. Her current research directions include LLM-assisted software development and maintenance, developer collaboration in distributed software teams, and knowledge extraction from large-scale software artifacts. She has made significant contributions to emotion mining in developer communications, toxicity detection in open source projects, and trust dynamics in GitHub pull requests. Dr. Chatterjee's publications demonstrate a clear progression from foundational work on mining developer chat communications and code snippets toward more sophisticated applications of machine learning and large language models in software engineering contexts. Her recent work increasingly focuses on the intersection of software engineering with social aspects like emotions, trust, and toxicity in developer interactions. Distinguished Reviewer Award at FSE 2023 Drexel CCI Research Excellence Award (awarded to her lab member Ramtin Ehsani) Drexel CS Leadership Award (awarded to her lab member Amirali Sajadi) Dr. Chatterjee has advised numerous students at various levels, including Ph.D., M.S., and undergraduate researchers. Her SOAR Lab currently includes Ph.D. students Ramtin Ehsani and Amirali Sajadi, who have received significant recognition for their work. She has served on multiple program committees for major software engineering conferences including ICSE, FSE, ASE, and MSR, and has held leadership roles such as Tutorials Co-chair for MSR 2025 and Journal-first Co-Chair for ICPC 2024. She co-leads the Drexel Programming Systems Seminar and has been an editorial board member for the Journal of Systems and Software. The SOAR Lab focuses on innovative research at the intersection of software engineering, machine learning, and natural language processing. The lab has produced influential datasets like DISCO (Discord Chat Conversations for Software Engineering Research) and comprehensive annotated datasets of GitHub issue threads. Current projects include improving LLM-assisted bug resolution, security assessment of LLM-generated code, emotion mining from software engineering communication, and information extraction from developer chat conversations.

Christine MyrvangView profile

Professor

• Business History
• Consumer History
• Cultural History
• +7 more

Christine Myrvang is a Professor in the Department of Communication and Culture at BI Norwegian Business School, where she has worked since 2009 (first as Senior Researcher at the Centre for Business History from 2009-2020, then as Professor since 2020). Prior to BI, she worked as a researcher at the University of Oslo's Centre for Technology, Innovation and Culture from 1996 to 2008. She holds a Dr. Philos. (Ph.D.) from the University of Oslo (2005), a Cand. Philol. (Master's) from 1995, and a Bachelor's degree from 1991, all from the University of Oslo. Myrvang specializes in business history from the late 18th century to the present, with particular focus on the history of modern consumer culture. Her research spans industry and manufacturing, knowledge systems, technology and expertise, retail and insurance sectors, consumption patterns, sales and advertising practices, and media industry evolution. She has made significant contributions to cultural history, most notably with her recent work on Sigrid Undset—the office worker who became a Nobel Prize-winning author in 1928. Currently, she is writing a comprehensive book tracing the history of the modern office over the past two centuries, from traditional workspaces to today's open-plan and digital office environments. Analysis of her recent publications reveals a consistent focus on how historical contexts shape contemporary workplace dynamics, consumer behavior, and cultural practices. Her work demonstrates particular expertise in office history, gender studies within historical contexts, and the evolution of consumer culture. She frequently examines how technological changes impact social structures, with special attention to how marginalized groups navigate historical workplace transformations. Her research methodology often involves innovative approaches to historical evidence, particularly in giving voice to "silent sources" and overlooked historical narratives. Myrvang is an active contributor to public discourse through media appearances, having published numerous popular scientific articles in outlets like Aftenposten Historie, Morgenbladet, and Dagbladet, as well as participating in radio programs on NRK. Her BI Business Review articles, including "How the office estranged and empowered queer women" and "Art Deco: The era that lingers in spirit," demonstrate her ability to translate complex historical research for broader audiences. Her academic contributions span decades of rigorous scholarship, with publications covering diverse historical periods and themes while maintaining a consistent focus on the intersection of business practices, cultural development, and social change. Her work on the history of consumer culture, particularly regarding women's experiences and gender dynamics in historical contexts, represents a significant contribution to multiple academic fields.

Jon StammersView profile

Research Fellow

• Artificial Intelligence
• Data Science
• Smart Manufacturing
• +3 more

Dr Jon Stammers serves as the Senior Theme Lead for Data, Connectivity and AI within the Integrated Manufacturing Group at the Advanced Manufacturing Research Centre (AMRC), University of Sheffield. He joined the AMRC in 2013, initially working in the Machining Group's Process Monitoring and Control team, and has since taken on leadership of the Data, Connectivity and AI theme. Additionally, he has lectured at the AMRC Training Centre and is an active member of the Centre for Machine Intelligence and the IET Manufacturing Technical Network. Stammers holds an MEng and PhD in Electronic Engineering. His doctoral research investigated automated identification of urban and natural audio signals using time-domain feature extraction and ensemble neural network classifiers. His primary research interests focus on leveraging data from connected manufacturing processes to enable Smart Factories. This includes developing open-source data architectures, data visualization techniques, computer vision applications, AI and machine learning algorithms, data security measures, and data science methodologies. He is particularly interested in how AI can serve as a practical tool to enhance daily manufacturing operations and the broader societal impacts of technology adoption in industrial settings. Analysis of his recent publications reveals a consistent emphasis on machine tool health monitoring, anomaly detection in machining processes, and the integration of AI for predictive maintenance. His work bridges theoretical advancements in signal processing and machine learning with practical industrial applications, contributing to more efficient and reliable manufacturing systems. No scientific awards, prizes, or fellowships were mentioned in the provided information. Stammers has previously lectured at the AMRC Training Centre, contributing to workforce development in advanced manufacturing. While no formal PhD or Master's advisees are listed in the provided information, his role in training is evident through his educational contributions. He has secured significant research funding as Principal Investigator and Co-Investigator on multiple projects, including the ATI-funded "Securing Aerospace Manufacture in the UK" (£974,000), Innovate UK's "Data-driven manufacturing" (£111,000), EPSRC's "Autonomous Method for Detecting Cutting Tool and Machine Tool Anomalies" (£1.02M), and several others totaling over £2.5 million. His current projects span AI for machining design, hydrogen storage, and geospatial AI for housing layouts. Stammers leads the Data, Connectivity and AI theme at the AMRC, which focuses on enabling Smart Factories through innovative data and AI solutions. He is part of the Integrated Manufacturing Group, a key research team within the AMRC dedicated to advancing manufacturing technologies.