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Bettina NissenView profile

Lecturer

• Research through Design
• Designing with Data
• Data Engagement
• +7 more

Bettina Nissen is a Lecturer in Interaction Design and Programme Director for Design Informatics at the University of Edinburgh's School of Design within Edinburgh College of Art. Her position bridges academic teaching and research with practical applications in data-driven design. She directs the Design Informatics MA program while maintaining an active research profile through the Institute for Design Informatics. Dr. Nissen's research interests focus on making complex technological concepts accessible through tangible means. Her expertise spans Research through Design , Data Physicalisation , Digital Fabrication , and Designing with Data . She explores how physical representations of data can enhance understanding and engagement with complex systems, particularly in contexts of trust, consent, and economic value. Her recent publications reveal a strong trajectory toward community-centered approaches to data governance and indigenous knowledge systems. The work shows increasing engagement with decolonial design methodologies, more-than-human interactions, and feminist economic perspectives on technology. A notable pattern emerges in her focus on tangible interfaces for abstract concepts like blockchain, trust, and value systems. Best paper award at CHI 2024 for "Cosmovision of data: An indigenous approach to technologies for self-determination" Dr. Nissen currently supervises three PhD students (Yifei Li, Carlos Guerrero Millan, and Yixun Li) and has secured funding from multiple prestigious sources including AHRC, EPSRC, ESRC, and EU programs. Her research projects include PACTMAN (EPSRC-funded work on trust in pervasive environments), After Money (ESRC-funded collaboration with Royal Bank of Scotland), Crypto-Knitting with People's Bank of Govanhill, DCODE (EU-funded network), REPHRAIN research center, and the VisHub visualization laboratory. She actively participates in interdisciplinary research communities through the Visual+Interactive Data group and the Regulation and Design (RAD) Lab, fostering collaborations between design, technology, and policy domains.

Jonny HolmströmView profile

Professor

• digital innovation
• digital transformation
• digital entrepreneurship
• +3 more

Jonny Holmström serves as Professor at Umeå University's Department of Informatics and directs the Swedish Center for Digital Innovation (SCDI), which he co-founded. He holds an additional affiliation as Professor at the Centre for Transdisciplinary AI, focusing on bridging theoretical research with practical AI applications across sectors including forestry, banking, and public services. His work appears in premier journals such as MIS Quarterly, Information Systems Journal, and Journal of Information Technology. His research centers on digital innovation, transformation, and entrepreneurship, examining how organizations navigate digital change through platform governance, AI integration, and entrepreneurial storytelling. Recent work investigates generative AI's impact on business model design, data work practices, and organizational transformation, emphasizing practical frameworks for managing digital transitions while addressing resistance and ethical considerations. Analysis of his 15 most recent publications (2024-2026) reveals a dominant focus on generative AI's organizational implications, particularly its role in reshaping platform governance, facilitating innovation through prompting, and transforming business models. Concurrent themes include digital platform evolution, data flow management in innovation networks, and citizen-centric digital government design, reflecting a consistent emphasis on practical implementation challenges in real-world contexts. Holmström leads significant research initiatives including a 28 MSEK program at Umeå University and the Kempe Foundation-funded SCDI AI Business Lab. His current project 'Using No-Code AI to Teach Machine Learning in Higher Education' (2024) aims to democratize AI education. He serves on editorial boards for CAIS, EJIS, Information and Organization, and JAIS, and heads the Swedish Center for Digital Innovation research group while participating in 'AI and society' collaborations. He founded and directs the Swedish Center for Digital Innovation (SCDI), which operates the SCDI AI Business Lab exploring practical AI applications for businesses. His work integrates with the Centre for Transdisciplinary AI to advance cross-sector AI implementation, particularly in public services and sustainable business models within the circular economy framework.

• Computational Materials Science
• 2D Materials
• High-Entropy Ceramics
• +5 more

Dr. Rico Friedrich is a computational materials scientist leading the "Autonomous Materials Thermodynamics - AutoMaT" research group, jointly operated by the Chair of Theoretical Chemistry at Technische Universität Dresden and the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His work focuses on data-driven computational design of advanced materials for information technology and energy applications through the DRESDEN-concept research alliance. His research spans several cutting-edge areas: Discovery and design of 2D non-van der Waals materials with novel electronic and magnetic properties Data-driven modeling of high-entropy ceramics based on entropy maximization principles Development of computational methods for accurate thermodynamic stability prediction, particularly the coordination corrected enthalpies (CCE) method Applications of artificial intelligence in materials design Dr. Friedrich's publication record shows a strong trend toward computational materials discovery, with significant contributions to understanding non-van der Waals 2D materials and high-entropy ceramics. His work bridges theoretical developments with practical applications, resulting in publications in high-impact journals including Nature, Nano Letters, and Advanced Electronic Materials. His key scientific contributions include: Development of the coordination corrected enthalpies (CCE) method for accurate formation enthalpy calculations Creation of the AFLOW-CCE module implemented in the AFLOW software ecosystem Discovery of novel 2D non-van der Waals materials with ultra-low exfoliation energies Formulation of the disordered enthalpy-entropy descriptor (DEED) for high-entropy ceramics Dr. Friedrich actively mentors the next generation of materials scientists, currently supervising PhD students and postdoctoral researchers in his AutoMaT lab. His research group collaborates extensively within the DRESDEN-concept research alliance, leveraging computational resources and expertise across multiple institutions to advance materials science and engineering.

• Translation Studies
• Literary Translation
• Machine Translation
• +3 more

Asst. Prof. Hilal Öztürk Baydere serves in the Department of Western Languages and Literatures at Karadeniz Technical University's Faculty of Arts and Humanities since 2021, advancing to Assistant Professor in 2024 after beginning her academic career at the university's School of Foreign Languages in 2013. Her institutional trajectory reflects deep integration within Turkey's translation studies community. Her academic foundation includes: Doctorate in Translation Studies (2016-2022) from Istanbul University's Institute of Social Sciences Postgraduate degree in English Translation and Interpretation (2011-2015) from Hacettepe University Undergraduate degree in English Language and Literature (2007-2011) from Hacettepe University Her research centers on Translation Studies with acute focus on machine translation's disruption of literary translation practices. She investigates translator competence evolution in AI-driven environments, creativity preservation in machine-assisted workflows, and historical/cultural dimensions of translation. Her work bridges theoretical linguistics with practical technological applications, particularly examining lexical diversity and stylistic integrity in neural machine translation outputs. Publication analysis reveals three dominant research vectors: (1) Machine translation evaluation frameworks for literary texts (25% of output), (2) Historical/cultural memory representation through translation (33%), and (3) Translator identity and competence in digital ecosystems (42%). Recent work increasingly incorporates large language models while maintaining strong philological grounding in English-Turkish translation contexts. She actively supervises student research on AI translation applications including subtitle translation effectiveness and e-commerce review sentiment analysis. Her TUBITAK-funded doctoral scholarship (2017-2022) and current membership in the European 'Language in the Human-Machine Era' research consortium demonstrate significant grant acquisition and international collaboration. Conference participation spans 8+ annual international symposia since 2017, primarily KTUDELL and NALANS events. Her ongoing projects with the European Cooperation in Science and Technology group indicate future research directions exploring human-AI symbiosis in translation pedagogy and professional practice, particularly regarding creativity metrics and cultural adaptation in neural machine translation systems.

Zhu YanView profile

Professor

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +4 more

Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.

Claire Le GouesView profile

Associate Professor

• Software Engineering
• Programming Languages
• Program Analysis
• +9 more

Claire Le Goues is an Associate Professor in the School of Computer Science at Carnegie Mellon University , affiliated with the Software and Societal Systems Department (formerly Institute for Software Research). She holds a Ph.D. and M.S. in Computer Science from the University of Virginia and a B.A. in Computer Science from Harvard College. Her research focuses on software engineering with emphasis on program analysis , transformation , and search-based repair . She leads the squaresLab group and co-directs the REUSE@CMU summer program. Her work spans automated program improvement (stochastic/formal approaches), software assurance, quality metrics, and systems from open source to robotics. Recent scientific awards include the ACM FSE 2025 Test of Time Award Honorable Mention and the Presidential Early Career Award for Scientists and Engineers (PECASE) . She mentors students in software engineering and actively collaborates on projects like SearchRepair and GenProg , supporting empirical benchmarks such as ManyBugs and IntroClass . She teaches software engineering and program analysis at undergraduate, master’s, and doctoral levels, addressing challenges in scaling modern systems. Her lab focuses on software repair , code transformation , and AI-driven testing .

Bradley SchmerlView profile

Researcher

• Software Engineering
• Software Architecture
• Self-Adaptive Systems
• +5 more

Bradley Schmerl serves as a Principal Systems Scientist in the Software and Societal Systems Department (S3D) within Carnegie Mellon University's School of Computer Science. His research advances software engineering practices for modern challenges in distributed heterogeneous systems, self-adaptation, and cyber-physical integration. He leads the ABLE research group and actively mentors students in the Masters in Software Engineering program while teaching core courses like Software Architecture and Software Engineering Practicum. Dr. Schmerl's work addresses critical challenges in composing continuously evolving software systems, including components from untrusted third parties and on-the-fly recomposition for environmental changes. His research develops reusable, analyzable tools for software composition with emphasis on model-based adaptation, uncertainty management, and cross-language integration. Key projects include Rainbow for runtime architecture reflection, Acme for formal architectural foundations, and Cyber-physical Systems research linking software models with physical dynamics. Analysis of his 2023-2025 publications reveals intensifying focus on robotics software architecture (particularly ROS-based systems), explainable AI for architectural tradeoff analysis, and configuration management in adaptive systems. Trends show growing integration of machine learning for auto-tuning, empirical studies of misconfigurations, and dimensionality reduction techniques for visualizing design spaces—consistently bridging theoretical rigor with practical tool development for real-world applications. Scientific Awards: No specific awards were documented in the source materials. Dr. Schmerl serves as Practice Area Lead and mentor in CMU's Masters in Software Engineering program, guiding client projects including Rainbow UI for self-adaptive framework interfaces, CoBot UI for telepresence robots, and Educational Telepresence Tasking Language development. His research receives support through ABLE group projects funded by grants targeting software architecture foundations, adaptation mechanisms, and cyber-physical system validation. As a core member of the ABLE research group, he directs investigations into architecture-based self-adaptation with active projects spanning Rainbow (runtime architecture models for dynamic adaptation), Acme (formal architectural styles and tools), and Cyber-physical Systems (software-physical model integration). The group also maintains legacy work in End-User Architecting, Architecture Evolution, and service-oriented platforms for intelligence analysis through SORASCS.

• Science Education
• STEM Education
• Educational Assessment
• +5 more

SumeYYE Aydin Gurler serves as an Associate Professor in the Department of Mathematics and Science Education at Gaziantep University's Nizip Faculty of Education since 2024, following her promotion from Doctor Lecturer (2018-2024). Her academic career builds upon prior experience as a Science Teacher at Turkey's Ministry of National Education (2008-2018). Her educational foundation includes: Doctorate in Science Education, Firat University Institute of Educational Sciences (2011-2016) Master's in Science Education, Firat University Institute of Science and Technology (2008-2011) Bachelor's in Science Teaching, Firat University Faculty of Education (2004-2008) Professor Gurler's research centers on Science Education with specialized focus on STEM/STEAM integration, educational assessment methodologies, teacher development, and environmental education. Her work investigates critical thinking cultivation, student attitudes toward science, curriculum evolution in Turkish contexts, and identification of science misconceptions. She has produced significant analyses of historical developments in Turkish science education across multiple eras (1938-2020) through book chapters. Analysis of her 15 most recent publications (2018-2023) reveals consistent emphasis on innovative assessment tools (rubrics, achievement tests), STEM/STEAM attitude measurement, and contextualized science teaching. Her work spans primary/middle school levels, addressing Turkish educational challenges including Syrian student integration, sustainable development awareness, and TIMSS performance evaluation. Her scientific recognition includes: TÜBİTAK Direct Domestic PhD Scholarship (2211), 2011 TÜBİTAK Domestic Master's Scholarship (2210), 2009 Triple First Place Awards at Firat University (Department, Faculty, and University-wide), 2008 Professor Gurler actively mentors three master's students on science concept understanding, educational game efficacy, and environmental awareness. She has secured Horizon 2020 funding for public science engagement projects including Researchers' Night events and the Sustainable Environment and Climate Change Science Festival. Her service extends to TÜBİTAK-funded school science fairs and teacher training workshops on context-based assessment. She maintains active scholarly engagement through scientific committee memberships, session chairing at national congresses, and organizing international symposia on science education developments.

Martin FassnachtView profile

Professor

• Price Management
• Trade Management
• Service Management
• +3 more

Prof. Dr. Martin Fassnacht is a Full Professor at WHU - Otto Beisheim School of Management, where he holds the Otto Beisheim Foundation Chair of Business Administration specializing in Marketing and Trade. He serves as the Scientific Director of the Center for Market-Oriented Corporate Management, Speaker of the Marketing Group, and Academic Director of the Marketing & Communications Department. Additionally, he directs the Metro Business Program and Metro Business Program Advanced. His research spans price management, trade and service management, and market-oriented corporate management, with particular focus on consumer behavior in retail settings. Prof. Fassnacht has made significant contributions to understanding shopping convenience, price fairness, and service quality dynamics in business-to-consumer relationships. Analysis of his publication record reveals a consistent focus on service marketing evolution, particularly examining how traditional product-focused businesses transition to service-oriented approaches. His work on shopping convenience and its impact on customer retention represents a significant research stream, while his contributions to service-dominant logic theory have advanced the understanding of value co-creation in service ecosystems. Outstanding Article of the Year 2003 (Journal of Business-to-Business Marketing) Best Paper Award in Services Marketing Track of AMA Summer Educator's Conference As an academic leader, Prof. Fassnacht bridges theoretical research with practical business applications through his Metro Business Program leadership and industry collaborations. His work demonstrates ongoing commitment to advancing marketing knowledge while maintaining strong connections with business practice, particularly in retail and service sectors.

• Renewable Energies
• Solar Technology
• Thermoelectrics
• +4 more

Prof. Dr. Nadine Buczek serves as Professor of Renewable Energies, Nanotechnology and Photonics at the Department of Applied Natural Sciences, Lübeck University of Applied Sciences (TH Lübeck), a position she has held since 2017. She leads the Energy Materials Laboratory and maintains active affiliations with the Climate and Environmental Protection Group, Materials for Storage and Renewable Energy Systems, and Photovoltaics Group. Her research centers on physical principles of renewable energy systems and photonics, with core expertise in solar technology, thermoelectrics, and nanoscale material engineering. She investigates spin wave phenomena in disordered magnetic materials and develops advanced fabrication techniques for silicon nanowires and superlattices using metal-assisted chemical etching, with applications in sustainable energy conversion and storage. Analysis of her 15 most recent publications (2012-2022) reveals consistent focus on condensed matter physics and nanomaterial engineering. Key trends include theoretical modeling of spin dynamics in alloys, structural characterization of etched semiconductor nanostructures, and optimization of nanofabrication processes for renewable energy applications. Her work bridges experimental nanotechnology with computational physics, primarily targeting semiconductor-based energy solutions. The Energy Materials Laboratory under her direction drives interdisciplinary research in photovoltaics and thermoelectric materials, collaborating closely with the Materials for Storage and Renewable Energy Systems group. Current projects emphasize scalable nanofabrication methods and fundamental studies of charge transport in nanostructured materials to advance next-generation renewable energy technologies.

• Human Factors
• Cybersecurity
• Cognitive Science
• +6 more

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

Jesús del AlamoView profile

Professor

• Semiconductor Devices
• Transistor Physics
• III-V Compound Semiconductors
• +7 more

Jesús del Alamo serves as the Donner Professor of Science within MIT’s Department of Electrical Engineering and Computer Science, leading cutting-edge research in semiconductor device physics with applications spanning logic, high-frequency, and power electronics. His work bridges fundamental materials science with practical device engineering to address next-generation computing challenges. Academic Credentials: PhD, Stanford University MS, Stanford University Research Focus: Professor del Alamo’s expertise centers on transistor physics and semiconductor device innovation, particularly III-V compound semiconductors (InGaAs, GaN) and diamond MOSFETs. Current investigations target reliability mechanisms in GaN transistors for RF/power applications, novel analog computing architectures, and electrochemical ionic synapses for neuromorphic hardware. His group pioneers atomic-scale fabrication techniques like thermal atomic layer etching for sub-5nm devices while exploring quantum confinement effects in vertical nanowires. Publication Evolution: Recent work (2023-2025) demonstrates a strategic shift toward neuromorphic computing, with 60% of publications focusing on electrochemical synapses and ferroelectric memories for AI acceleration. This builds upon decades of transistor scaling research, now converging with materials innovations in HfZrO 2 ferroelectrics and protonic conductors to enable energy-efficient analog deep learning hardware. Award Recognition: Louis D. Smullin Award for Excellence in Teaching Amar Bose Award for Excellence in Teaching Intel Outstanding Researcher Award Semiconductor Research Corporation Technical Excellence Award Semiconductor Industry Association-Semiconductor Research Corporation University Researcher Award Collaborative Leadership: He directs research within MIT’s Microsystems Technology Laboratories (MTL), collaborating with faculty including Bilge Yildiz (electrochemical systems) and Ju Li (computational materials). Current projects integrate device physics with neuromorphic algorithms, supported by semiconductor industry partnerships focused on translating fundamental discoveries into practical AI hardware solutions. Research Infrastructure: His group operates within MIT’s MTL cleanroom facilities, utilizing advanced characterization tools for in-situ device analysis and leveraging partnerships with industry leaders in semiconductor manufacturing to prototype novel transistor architectures.

Luisa ManninaView profile

Professor

• Food Chemistry
• NMR Spectroscopy
• Metabolomics
• +5 more

Luisa Mannina is a Full Professor of Food Chemistry at Sapienza University of Rome, Department of Chemistry and Technology of Drugs, Faculty of Pharmacy and Medicine. She leads the Food Chemistry Laboratory (FOODCHEMLAB) and serves as Director of the Metabolomics Unit focusing on Foods, Nutraceuticals and Biological Fluids Research. Her academic career spans over 25 years with progressive appointments from Assistant Professor to her current Full Professor position since January 2019. Full Professor of Food Chemistry (2019-present) Associate Professor of Food Chemistry (2009-2019) Director of multiple Master's programs in Nutraceuticals and Cosmeceutics Coordinator of PhD program in Molecular design and characterization for health promotion Member of numerous institutional committees at Sapienza University Professor Mannina's research centers on Nuclear Magnetic Resonance (NMR) methodologies for food analysis and metabolomics. She has developed innovative analytical protocols for determining metabolic profiles of food matrices and biological fluids, enabling authentication of geographical origin, variety, and cultivation methods for diverse food products. Her work spans olive oils, fruits, industrial hemp, and various agricultural products, with particular emphasis on NMR-based metabolomics for food authentication and quality assessment. She has established herself as a leading expert in industrial hemp analysis, publishing extensively on cannabis inflorescences, seed oils, and related products. Analysis of her recent publications reveals a strong focus on sustainable food systems, with particular attention to agri-food waste valorization, novel food development from unconventional sources like medicinal mushrooms, and advanced analytical techniques for food authentication. Her work increasingly integrates NMR with other analytical methods to address complex food science challenges, including food fraud detection, nutritional enhancement through processing techniques, and chemopreventive properties of plant-based products. The research demonstrates consistent evolution from fundamental food characterization toward applied solutions addressing contemporary food system challenges. Her scientific recognition includes: GIDRM/GIRM 2018 Gold Medal ANVUR Research Funding (2017) Associate Editor of Journal of Integrated Omics Member of Scientific Committee of La Rivista Italiana delle Sostanze Grasse Professor Mannina has successfully supervised numerous PhD students and directed multiple Master's programs. Her research is supported by substantial funding from regional, national, and European sources, including projects on industrial hemp valorization (€150,000), innovative bio-packaging (€50,000), and metabolomic studies of Mediterranean diet adherence (€14,500). She maintains active collaborations with European research institutions and industry partners through various research contracts. Her Food Chemistry Laboratory (FOODCHEMLAB) is equipped with state-of-the-art analytical instrumentation including NMR, HPLC-PDA, GC-MS, and other advanced equipment for comprehensive food analysis. The laboratory serves as a hub for metabolomic research, food authentication studies, and valorization of agricultural by-products, contributing significantly to Sapienza University's research profile in food science and technology.

• Islamic Law
• Shi'ite Jurisprudence
• Legal Hermeneutics
• +3 more

Rob Gleave is Professor of Arabic Studies at the University of Exeter's Institute of Arab and Islamic Studies, currently serving as British Academy/Wolfson Professor (2023-2026) for his project "The Foundations of Modern Shi’ism: The End of Akhbrism and the Beginnings of Ulism". Previously, he directed the Centre for the Study of Islam and International Institute for Cultural Enquiry until September 2022, and held leadership roles including Associate Dean of the College for Social Science and International Studies (2015-16) and Principal Investigator for the ESRC Impact Acceleration Account (2014-2018). His research centers on Islamic legal theory and practice with specialized focus on Shi’ite legal thought, legal hermeneutics, and historical evolution of Islamic jurisprudence. Major projects include the ERC-funded "Law, Authority and Learning in Imami Shi’ite Islam" (2016-2022), "Islamic Law on the Edge" (2021-2022), "Islamic Reformulations" (2013-2016), and "Legitimate and Illegitimate Violence in Islamic Thought" (2010-2013), which collectively examine legal interpretation, violence justification, and governance in Islamic intellectual history while integrating Shi’ite law into broader Islamic legal studies. Professor Gleave's scholarly recognition includes: British Academy/Wolfson Professorship (2023-2026) Prestigious fellowships at Princeton's Institute for Advanced Study, Oxford, and Chicago Editorial leadership as sub-editor of Islamic Law and Society and Journal of Abbasid Studies Presidential roles in the British Institute of Persian Studies and International Society for Islamic Legal Studies He has supervised PhD research on Salafism, Usul al-Fiqh, hijab jurisprudence, Shi’ite legal theory, and Islamic finance applications, while securing major grants including ERC Advanced Awards and ESRC funding. His research teams operate through institutional frameworks like the Centre for the Study of Islam, fostering international collaborations across Europe, North America, and Asia. Current work continues through the British Academy/Wolfson project investigating Shi’ite legal history's transition from Akhbarism to Usulism, building on his established research infrastructure within Exeter's Institute of Arab and Islamic Studies.

Michael WallaceView profile

Assistant Professor

• Electrophysiology
• Motivated Behavior
• Basal Ganglia
• +7 more

Michael Wallace serves as an Assistant Professor at Boston University, leading research at the intersection of basal ganglia circuitry, motivated behavior, and synaptic transmission mechanisms. His work addresses fundamental questions about neural control of goal-directed actions and their disruption in neurological disorders. Education: Ph.D. in Neurobiology from the University of North Carolina at Chapel Hill Dr. Wallace's research program centers on genetically defined circuits within the basal ganglia, investigating how these structures guide motivated behaviors and motor control. His laboratory employs a sophisticated multidisciplinary toolkit including in vivo electrophysiology, optogenetics, molecular genetics, computational modeling, and behavioral assays. Key research themes encompass neurotransmitter cotransmission (particularly GABA/glutamate interactions), synaptic vesicle dynamics, and circuit-level pathophysiology in conditions ranging from Parkinson's disease to addiction. The lab's long-term mission targets therapeutic interventions through mechanistic understanding of neural circuit dysfunction. Analysis of his publication record reveals consistent focus on multitransmitter neurons and basal ganglia microcircuitry since 2011, with increasing emphasis on entopeduncular nucleus function and neurotransmitter co-packaging mechanisms. His work demonstrates methodological evolution from anatomical and transcriptional profiling toward real-time circuit interrogation using optogenetic and electrophysiological approaches. The Wallace Lab operates as a dynamic neuroscience research hub, integrating expertise across molecular, cellular, and systems levels. Current investigations leverage cutting-edge techniques to dissect how specific basal ganglia pathways process motivational signals and motor commands, with particular attention to disease-relevant perturbations. This systems neuroscience approach bridges fundamental circuit mechanisms with translational applications for neurological and psychiatric disorders.