جست‌وجوی استاد و پژوهشگر

Pawan Adhikariمشاهده پروفایل

استاد

• Public Sector Accounting
• Government Accounting and Budgeting
• Accounting Reforms in Developing Countries
• +۵ مورد دیگر

Pawan Adhikari is a Professor of Accounting at Essex Business School, University of Essex , where he serves as Director of Impact and Enterprise and Director of Essex Accounting Centre . He is an Associate Editor of the Journal of Public Budgeting, Accounting and Financial Management and a Executive Board Member of the Comparative International Governmental Accounting Research Network (CIGAR) . Previously, he led accounting reforms at Nepal’s Accounting and Auditing Standards Board and lectured at Nord University, Norway. PhD, Nord University Business School Fellow of the Higher Education Academy His research focuses on public sector accounting in developing countries, particularly accounting reforms , public value creation , and climate accountability . He explores how accrual accounting and participatory budgeting can enhance transparency in South Asian and African contexts. His work has influenced policy-making in Nepal and is recognized with the 2023 Best International Research Impact award by the University of Essex. Recent publications analyze wellbeing economies (2025), NGO accountability in disasters (2024), and climate budgeting (2023). He collaborates with institutions like the World Bank , European Commission , and British Academy , focusing on projects related to financial resilience , circular economy , and health sector accountability . Supervising 8 current PhD students, his advisees have produced work on topics like accrual accounting in Bangladesh and NGO accountability in Palestine . World Bank/PEFA Research Award African Accounting and Financial Association (AAFA) Award ESRC IIA Impact Fund GCRF and SeNSS Grants 2019 Best Postgraduate Supervisor (Essex)

Naresh R. Shanbhagمشاهده پروفایل

استاد

• Energy-efficient computing
• Machine learning hardware
• In-memory computing
• +۷ مورد دیگر

Naresh R. Shanbhag is the Jack Kilby Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He serves as Director of the Systems on Nanoscale Information fabriCs (SONIC) Center and held the D.J. Gandhi Distinguished Visiting Professorship at IIT Mumbai from 2015-2020. Previously, he was a visiting faculty member at National Taiwan University (2007) and Stanford University (2014). Dr. Shanbhag received his doctorate from the University of Minnesota (1993) in Electrical Engineering. From 1993 to 1995, he worked at AT&T Bell Laboratories as the lead chip architect for AT&T's 51.84 Mb/s transceiver chips over twisted-pair wiring for Asynchronous Transfer Mode (ATM)-LAN and very high-speed digital subscriber line (VDSL) chip-sets. His research focuses on the design of energy-efficient machine learning, communications, and signal processing systems on resource-constrained embedded platforms. He explores fundamental trade-offs between energy efficiency, latency and accuracy of decision-making systems implemented in nanoscale technologies, with applications to computer vision, biomedicine, automatic target recognition, and imaging. His work spans four primary focus areas: Resource-efficient Machine Learning for the Edge, In-memory Computing (IMC), Energy-efficient High Data Rate Communications, and Shannon-inspired Statistical Error Compensation (SEC). Analysis of his recent publications reveals a strong emphasis on in-memory computing architectures (SRAM, MRAM, RRAM) for machine learning acceleration. His work consistently addresses energy-accuracy trade-offs, with increasing attention to security aspects of hardware implementations and applications to MIMO signal processing and edge AI systems. His research demonstrates a progression from theoretical foundations to practical silicon implementations. 2024 Semiconductor Research Corporation Innovation Award 2018 Semiconductor Industry Association/Semiconductor Research Corporation University Researcher Award 2018 IEEE International Symposium on Circuits and Systems Best Paper Award 2006 IEEE Fellow 1996 National Science Foundation CAREER Award Professor Shanbhag has mentored over 50 graduate students who now work at leading technology companies including Qualcomm, Amazon, Nvidia, Intel, and Apple. His research has been generously supported by the National Science Foundation, DARPA, AFRL, Semiconductor Research Corporation, Texas Instruments, Sandia National Laboratories, and industry partners including IBM, GlobalFoundries, and Intel Corporation. He led the Alternative Computational Models research theme (2006-2012) and was the founding Director of the SONIC Center (2013-2017), a 5-year multi-university center funded by DARPA and SRC. Currently, he leads research themes in the SRC and DARPA funded JUMP 2.0 Program's Center for Co-Design of Cognitive Systems and the Center for Ubiquitous Connectivity, and in the NSF IUCRC Center for Advanced Semiconductor Chips with Accelerated Performance (ASAP). As Director of the Systems on Nanoscale Information fabriCs (SONIC) Center, Professor Shanbhag leads a multidisciplinary team exploring novel computing paradigms for the nanoscale era. His group has benchmarked an extensive collection of in-memory computing and digital accelerator IC designs, maintaining a publicly available IMC benchmarking repository of metrics extracted from published IC prototypes. His research philosophy integrates concepts from information theory, statistical signal processing, detection and estimation, VLSI architectures, and digital and analog integrated circuits to develop energy-efficient systems from algorithms to silicon implementations.

• Developmental Biology
• Neurosciences
• Dopamine Neurons
• +۴ مورد دیگر

Thomas Perlmann is a Professor in Molecular Developmental Biology at the Karolinska Institutet , leading research at the Department of Cell and Molecular Biology and serving as Director of the Stockholm Branch of the Ludwig Institute for Cancer Research. He also holds the position of Secretary General of the Nobel Assembly and Nobel Committee for Physiology or Medicine since 2016. Ph.D. , Karolinska Institutet, 1991 M.Sc. , Stockholm University, 1987 Research Interests : The Perlmann lab investigates the specification and maintenance of dopamine neurons in the central nervous system, with a focus on transcriptional regulation , signaling pathways , and regenerative medicine applications for Parkinson’s disease and other neurodegenerative disorders. His work bridges developmental biology and neuroscience , emphasizing the role of transcription factors in neuronal identity and function. Recent Research Trends : Perlmann’s recent publications highlight the use of single-cell RNA sequencing to dissect dopamine neuron heterogeneity , epigenetic regulation during development, and transcriptomic changes in Parkinson’s disease models. His studies increasingly leverage multiomics and bioinformatics to map neuronal lineage trajectories and gene expression dynamics. Scientific Awards : Royal Medal by HM the King (2025) Nicholson Lecturer, Rockefeller University (2011) Göran Gustafsson Prize in Molecular Biology (1999) Eric K. Fernström Young Investigator Prize (1997) Advising & Collaborations : While no student names are explicitly listed, Perlmann collaborates extensively with researchers such as Malin Parmar , Agnete Kirkeby , and Per Svenningsson on projects related to neuronal development and cell therapy . His lab receives funding from institutions like the Ludwig Institute for Cancer Research . Labs & Teams : The Perlmann Lab at Karolinska Institutet includes researchers like Linda Gillberg , Laura Lahti , and Behzad Yaghmaeian Salmani , who work on mouse models , single-cell transcriptomics , and bioinformatics to study dopamine neuron biology.

Seth Lewis Gilbertمشاهده پروفایل

دانشیار

• Distributed Systems
• Algorithms & Theory
• Systems & Networking
• +۶ مورد دیگر

Seth Lewis Gilbert is a Professor and Head of the Department of Computer Science at the National University of Singapore (NUS), within the School of Computing . He holds the Dean's Chair Associate Professor title and focuses on algorithms for large-scale distributed systems , emphasizing scalability and fault-tolerance . His work spans wireless networks , contention resolution , dynamic networks , and blockchain protocols . Ph.D. in Computer Science, MIT (2007) M.S. in Computer Science, MIT (2003) B.S. in Electrical Engineering & Mathematics, Yale University (1999) His research explores trusted coordination in systems with untrusted and unreliable participants, addressing challenges like Byzantine agreement , load balancing , and contention resolution . He has pioneered formal frameworks for accountability in distributed protocols and developed novel algorithms for asynchronous task allocation . Recent publications include work on consensus protocols , leader election , and contention resolution , reflecting his focus on dynamic network environments . His research has earned recognition at venues like DISC, ICDCS, and CCS. Scientific Awards & Honors : Young Researcher Award (NUS, 2014) Faculty Teaching Excellence Award (2013/14, 2014/15, 2015/16) School of Computing Teaching Excellence Honour Roll (2016-2021) Best Paper Awards at DISC (2023, 2022), ICDCS (2022), IPDPS (2022) Best Student Paper Award at DISC (2022) He serves on the Steering Committee for DISC as Treasurer and has chaired program committees for DISC, OPODIS, and SPAA. His work bridges foundational algorithmic theory with practical applications in blockchains and dynamic networked systems .

Zhiyong Huangمشاهده پروفایل

دانشیار

• Data Analytics
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Zhiyong Huang is an Associate Professor at the National University of Singapore (NUS) School of Computing. He holds multiple leadership roles, including Deputy Director of the NUS Business Analytics Centre, Director of the Computing Translational Research & Development (C-TReND) Centre, and Assistant Dean (Industry Relations). He is also a Senior Principal Investigator at the NUS Chongqing Research Institute. Education: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), MEng and BEng in Computer Engineering from Tsinghua University. Leadership: Senior Member of ACM and IEEE, Pioneer Member of ACM SIGGRAPH, and Chair of the Singapore ACM SIGGRAPH Chapter. Research Interests: His work spans Data Analytics, Machine Learning, Computer Vision, Human-Robot Interaction, and Computer Graphics. Key projects include the NUS Digital Twin initiative and secure data analytics pipelines. Article Trends: Recent publications focus on time series generation, cryptocurrency benchmarks, medical image registration, and phishing detection. These works integrate machine learning, computer vision, and multimodal systems. Scientific Awards: Finalist, World Technology Summit & Awards (Entertainment, 2010) Bronze, National Science and Technology Progress Award (1992) Tsinghua 12.9 Distinguished Young Teacher Award (1989) Grants & Service: Extensive involvement in Singapore's IT Standards Committee, review panels for EDB SIIRD projects, and editorial roles. He has served as PC co-chair, local chair, and reviewer for numerous conferences and journals.

Gavin McNicolمشاهده پروفایل

استادیار

• Soil Biogeochemistry
• Biosphere-Atmosphere Exchange
• Wetland Ecology
• +۳ مورد دیگر

Gavin McNicol is an Assistant Professor in the Department of Earth and Environmental Sciences at the University of Illinois at Chicago (UIC). His research focuses on soil biogeochemistry and its connection to Earth’s climate system, particularly methane emissions from wetlands, temperate rainforests, and waste systems. He employs field measurements, laboratory experiments, and data science to study greenhouse gas dynamics across scales. McNicol teaches courses on data science (EAES 420) and climate-ecosystem interactions (EAES 579). His work integrates machine learning with satellite remote sensing to monitor global wetland methane emissions. Key collaborations include FLUXNET-CH4, CRMRCN, and the SOIL NGO in Haiti. McNicol holds a BS from the University of Stirling (2010) and a PhD from UC Berkeley (2016). Research interests span wetland methane budgets, carbon cycling in coastal ecosystems, and climate impacts of sanitation systems. He has secured grants from NASA, DOE, and NSF, totaling over $87,000. His team, the McNicol Lab, emphasizes interdisciplinary approaches combining fieldwork, lab analysis, and computational modeling. Recent publications (2023–2025) address global methane upscaling, tropical wetland monitoring gaps, and boreal-Arctic methane feedbacks. McNicol’s work bridges local measurements to global climate models, with applications in climate change mitigation and sustainable development.

Adam Bonicaمشاهده پروفایل

دانشیار

• Data Science
• Money in Politics
• Campaigns and Elections
• +۵ مورد دیگر

Adam Bonica is an Associate Professor in the Department of Political Science at Stanford University . His research integrates data science and politics , focusing on money in politics , campaigns and elections , judicial politics , and political methodology . Research Interests : Data Science, Political Ideology, Campaign Finance, Judicial Polarization, Quantitative Modeling Contact : Encina Hall West, Room 307, Stanford, CA 94305-6044 | Email : bonica@stanford.edu | Phone : (650) 725-7987 His work has been published in leading journals such as the American Journal of Political Science , Political Analysis , Journal of Economic Perspectives , Journal of Law, Economics, and Organization , and JAMA Internal Medicine . Bonica co-authored The Judicial Tug of War , which explores the politicization of the American judiciary. He has developed comprehensive databases like DIME (Database on Ideology, Money in Politics, and Elections) to advance research on political ideology and campaign finance. Recent publications include analyses of ideological persuasion in U.S. elections, judicial reform dynamics, and supervised machine learning applications in political methodology. His research spans topics such as clerk hiring as ideological indicators , professional networks in fundraising , and polarization trends among physicians and legal professionals .

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

Gabriel Brostowمشاهده پروفایل

استاد

• Computer Vision
• Human-Computer Interaction
• Human-Centered AI
• +۶ مورد دیگر

Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.

Richard E. Turnerمشاهده پروفایل

استاد

• Probabilistic Machine Learning
• Environmental Prediction
• Spatio-temporal Modelling
• +۴ مورد دیگر

Richard E. Turner is a Professor of Machine Learning at the University of Cambridge's Department of Engineering and Research Lead for AI for Weather Prediction at the Alan Turing Institute. He serves as Cambridge Lead for the EPSRC Probabilistic AI Hub and previously held roles including Visiting Researcher at Microsoft Research, Co-Director of the AI4ER CDT, and Course Director for the Machine Learning and Machine Intelligence MPhil program. Current research focuses on probabilistic machine learning fundamentals, environmental prediction (weather/climate), and spatio-temporal modeling combining deep learning with Bayesian methods Supervised 26 PhD students (13 graduated) and 7 research assistants/associates Secured over £30M in research funding from EPSRC, Microsoft, Toyota, Google, DeepMind, Amazon, and Improbable Featured in BBC Radio 5 Live's The Naked Scientist, BBC World Service's Click, and Wired Magazine His recent publications demonstrate expertise in diffusion models for PDE simulations, Gaussian Processes for environmental applications, and Bayesian methods for spatio-temporal forecasting. Key trends include climate modeling using ML, neural PDE solvers, and scalable probabilistic inference. Awards : Cambridge Students' Union Teaching Award for Lecturing; supervised Qualcomm Innovation Fellowship winner Collaborations : Microsoft Research (AI4Science), Alan Turing Institute, EPSRC Probabilistic AI Hub Turner leads the Turner Group within Cambridge's Machine Learning Group, focusing on uncertainty-aware ML for scientific applications. Current research assistants work on topics like meta-learning, Bayesian inference, and climate science applications.

Edward L. Shaughnessyمشاهده پروفایل

استاد

• Ancient Chinese History
• Chinese Archaeology
• Early Chinese Texts
• +۶ مورد دیگر

Edward L. Shaughnessy serves as the Lorraine J. and Herrlee G. Creel Distinguished Service Professor in Early Chinese Studies and Director of Graduate Studies in the Department of East Asian Languages and Civilizations at the University of Chicago. A renowned scholar of ancient China, he specializes in archaeologically recovered texts from the Zhou dynasty period (c. 1045-249 BCE), particularly bronze inscriptions, bamboo-slip manuscripts, and the classical texts Zhou Yi (I Ching), Shang Shu, and Shi Jing. His research interests focus on the intersection of archaeological discoveries and literary traditions, with particular expertise in bronze inscriptions and the Zhou Yi. Shaughnessy has pioneered efforts to bridge Western and Chinese scholarly traditions, publishing extensively in both English and Chinese. He has written seven volumes of technical scholarship in Chinese and is currently leading an international team translating Tsinghua University's fourth-century BCE bamboo-slip manuscripts. His recent scholarly output shows strong trends in paleographic studies, with numerous publications analyzing newly excavated manuscripts. His work demonstrates a consistent focus on textual transmission, historical context, and the relationship between archaeological evidence and received literary traditions. Notable patterns include systematic analysis of bamboo-slip manuscripts, comparative studies of textual variants, and interdisciplinary approaches combining philology, archaeology, and historical analysis. Shaughnessy has received recognition through his appointment as a Distinguished Service Professor, one of the highest academic honors at the University of Chicago. His scholarly contributions have significantly advanced the field of early Chinese studies through both original research and editorial work. As an educator, Shaughnessy teaches seminars on oracle-bone inscriptions, bronze inscriptions, bamboo-strip inscriptions, and courses on the Yi jing, Shi jing, and Shang shu. He serves as Director of Graduate Studies for the department and has supervised numerous graduate students. His current and upcoming courses include 'The Ji Zhong Discovery,' 'The Development of Early China Studies in the West,' 'Western Zhou Bronze Inscriptions,' 'The Shang shu,' and 'The Shi jing.' Shaughnessy maintains an active research program with current projects including the translation of Tsinghua University's bamboo manuscripts and serving as co-editor of the journal Bamboo and Silk. His scholarly network extends internationally, as evidenced by his 2013 lecture series at the Collège de France titled 'Unearthing the Chinese Classics,' where he presented on the Zhou Yi, Shang Shu, Shi Jing, and Laozi.

Mohamed Noureldinمشاهده پروفایل

استادیار

• Structural Engineering
• Artificial Intelligence in Civil Engineering
• Structural Health Monitoring
• +۵ مورد دیگر

Mohamed Noureldin is an Assistant Professor at the Department of Civil Engineering, Aalto University , Finland, with prior academic roles at Sungkyunkwan University, South Korea (2015–2022). His expertise lies in integrating Artificial Intelligence (AI) with Structural Health Monitoring (SHM) , Structural Digital Twin , Predictive Maintenance , and Seismic Retrofitting . Research Focus : AI-powered sustainable structural design, smart retrofitting, predictive maintenance, structural material innovation, and next-generation performance-based seismic/wind design. Industrial Experience : 20+ years in offshore/onshore structural engineering (Hyundai Heavy Industries, Samsung Engineering, Arab-Swiss Engineering Company, Zuhair Fayez Partnership). Teaching : Courses in structural analysis, seismic design, dynamics, and reinforced concrete at Aalto and Sungkyunkwan Universities. Laboratory : Leads the Structural Design AI Lab (SDAI), focusing on AI-driven resilient infrastructure. Contact : mohamed.noureldin@aalto.fi , +358504544861. His publications explore cutting-edge applications of AI, ML, and DL in seismic retrofitting, structural durability, soil stabilization, and hybrid damping systems. Collaborative work emphasizes life-cycle cost assessment and augmented reality for predictive maintenance.

Claus Lammمشاهده پروفایل

استاد

• Empathy
• Prosocial Behavior
• Social Neuroscience
• +۵ مورد دیگر

Claus Lamm is a Full Professor of Biological Psychology at the University of Vienna , where he leads the Social, Cognitive and Affective Neuroscience Unit (SCAN-Unit) . He serves as Vice Dean for Research and Advancement of Early Career Researchers at the Faculty of Psychology and holds affiliations with the Vienna Cognitive Science Hub , Environment & Climate Change Hub , and Austrian Academy of Sciences . His academic career spans international collaborations and formative research experience abroad. Scientific Focus: Lamm investigates the neural underpinnings of empathy and prosocial behavior , employing multi-modal approaches combining neuroimaging, psychopharmacology, and psychoneuroendocrinology . His work extends to comparative studies with ravens and dogs, and explores environmental social neuroscience through climate change decision-making research. Recent publications show trends in cross-cultural psychology , machine learning applications , and neurobiological pathways related to social behavior. Awards & Grants: Recipient of the APS Mentor Award for his support of early career researchers. Funded by European Research Council , Austrian Science Fund , Vienna Science and Technology Fund , and intramural grants exceeding €10 million. Key projects include "Unravelling the opioid system in empathy" and "Comparative dog-human fMRI" . Media Engagement: A prominent public science communicator, Lamm has appeared in Nature , Science Magazine , and Austrian media outlets like Ö1 Mittagsjournal and ORF2 , discussing topics from pandemic psychology to social media effects . He maintains active outreach through Science TV and educational programs .

Claire Battershillمشاهده پروفایل

استادیار

• Book and Publishing History
• Creative Writing
• 20th-Century Literature
• +۴ مورد دیگر

Claire Battershill is an Assistant Professor jointly appointed in the Faculty of Information and the Department of English at the University of Toronto. She holds a PhD from the University of Toronto and a BA (Hons) from the University of Oxford. Her research focuses on the history and future of the book, with a particular emphasis on feminist experimental publishing, literary aesthetics, and 20th/21st-century publishing practices. She is Co-Director of the Modernist Archives Publishing Project (MAPP), a critical digital archive of early 20th-century publishers’ records, and Co-Creator of the SSHRC-funded 'Make Believe' research-creation project. Her publications include Women and Letterpress Printing: Gendered Impressions (2022) and Using Digital Humanities in the Classroom (2022). Dr. Battershill has held prestigious roles such as Wendy M. Cecil Professor in VicOne at Victoria College and Fellow of the Royal Historical Society. She has secured grants including the SSHRC Impact Award (2017) and funding from the Canada Council for the Arts. Her teaching spans courses like INF2228H (The Future of Things: Digitization and Remediation) and BKS1002H (Book History in Practice), blending theory with hands-on engagement in digital humanities and book studies. Her research interests span digital humanities pedagogy, collaborative publishing projects, and the intersection of feminist theory with material book culture. She actively contributes to interdisciplinary initiatives like the Critical Digital Humanities Initiative (CDHI) at the University of Toronto.

• Critical Platform and Data Studies
• Platform Labour
• Platform Cooperativism
• +۷ مورد دیگر

Rafael Grohmann is an Assistant Professor of Media Studies at the University of Toronto Scarborough (UTSC), with a graduate cross-appointment at the Faculty of Information (iSchool). He leads the DigiLabour Initiative and is a researcher with Fairwork, focusing on Critical Platform and Data Studies. His research emphasizes platform labour, the platformization of work, and resistance strategies among workers in Latin America. Grohmann holds a PhD in Communication from the University of São Paulo and has held prior academic positions at institutions in Brazil, including Unisinos University. His research interests span platform cooperativism, public policies for technology and labor, AI's impact on work, and data-driven labour practices. He is an editorial board member for Big Data & Society and Work, Employment and Society , and contributes to UCLA’s Center for Critical Internet Inquiry (C2i2). His work examines intersections of technology, labour precarity, and solidarity economies, with a focus on global South contexts. Recent publications analyze click farm labour in Brazil, gender dynamics in platform cooperatives, and global-local trends in platform worker organizing. Grohmann’s work bridges critical theory with action research, advocating for fair work standards in digital economies. He participates in initiatives like the Platform Cooperativism Consortium and the Labor Tech Research Network.