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Erjia YanView profile

Associate Professor

• Informetrics
• Scientometrics
• Scholarly Data Mining
• +6 more

Erjia Yan is an Associate Professor in the Department of Information Science at Drexel University's College of Computing & Informatics. His research focuses on informetrics, scientometrics, scholarly data mining, and knowledge diffusion studies, contributing to understanding scientific activity, innovation propagation, and equitable science policymaking. PhD, Information Science, Indiana University Bloomington Master of Information Science, Indiana University Bloomington Bachelor of Science, Nanjing University Dr. Yan's work integrates network science and data analysis to examine scholarly communication methods, academic mobility patterns, and the impact of software in scientific literature. He has published extensively on topics including HBCU faculty dynamics, open access effects, and biases in citation practices. Recent publications highlight trends in academic mobility, knowledge transfer across sectors, ethical data collection, and the role of software in research. His studies span interdisciplinary collaborations, digital equity, and the evolution of disciplinary vocabularies. Dr. Yan's research has implications for equitable scientific workforce development, transparent policymaking, and enhancing bibliographic information retrieval systems.

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +8 more

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

Jana-Rebecca RehseView profile

Assistant Professor

• Business Process Management
• Process Mining
• User Behavior Mining
• +5 more

Prof. Dr. Jana-Rebecca Rehse serves as Assistant Professor for Management Analytics at the University of Mannheim Business School, where she leads the Chair of Management Analytics within the Information Systems department. Her academic work bridges theoretical research with practical business applications, focusing on data-driven approaches to business process optimization. Her primary research interests encompass User Behavior Mining , Process Mining , and AI applications in business process management . Rehse investigates how organizations can leverage process mining techniques to extract meaningful insights from event logs, with particular attention to conformance checking, process resilience assessment, and the practical implementation challenges businesses face when adopting these technologies. Her work frequently addresses the intersection of human behavior and process execution, examining how user interactions with IT systems can be analyzed to improve process design and user experience. Analysis of her recent publications reveals a clear research trajectory toward increasingly sophisticated integration of artificial intelligence with traditional process mining techniques. Starting with foundational work on reference model mining and process discovery methodology, her research has evolved to address cutting-edge applications of generative AI, explainable AI, and predictive analytics in business process contexts. The majority of her work appears in top-tier information systems and business process management journals including Information Systems, Process Science, and ACM Transactions publications, demonstrating her significant contributions to the field. Professor Rehse actively collaborates with industry partners including Siemens and MEHRWERK, offering thesis opportunities and research projects that address real-world business challenges. Her current call for applications includes work-study programs at Siemens and master thesis topics focused on conformance checking in cooperation with MEHRWERK. She has recently introduced innovative thesis topics exploring the use of Generative AI for Emotion Identification, reflecting her forward-looking research agenda that anticipates emerging technological trends and their business implications.

Mohammad MannanView profile

Professor

• Systems Security
• Privacy
• Mobile Security
• +5 more

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs. Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems. Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software. Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.

Marcia SchulmeisterView profile

Teaching Professor

• Hydrogeology
• Geochemistry
• Environmental Geology
• +4 more

Dr. Marcia Schulmeister serves as Director and Teaching Professor in the Environmental Geology Programs at the University of Kansas Edwards Campus, with a dual appointment in the Department of Geology. With over 30 years of experience, she specializes in applied hydrogeology and geochemistry, focusing on contaminated site remediation and groundwater management. Her professional work spans government agencies in the U.S., China, Thailand, and Germany, addressing soil and groundwater contamination challenges. Dr. Schulmeister holds prestigious titles including Fellow of the Geological Society of America and Fulbright Scholar. She contributes to academic leadership as associate editor for professional journals and serves on multiple boards. Her research explores innovative methods like electrical resistivity tomography and direct-push geochemical profiling, with recent emphasis on virtual geology education and international environmental projects in Thailand and Vietnam. Key Expertise: Hydrogeology field methods, contaminant transport modeling, karst terrain studies International Experience: Collaborations in China, Thailand, Germany, and Vietnam Teaching Innovation: Pioneering online geoscience education for non-traditional students Her work integrates field-based learning through the Robert P. Harrison Field Station and virtual museum tours. Current research trends emphasize climate change impacts on groundwater systems and geohazard mitigation for infrastructure protection.

Kristine StiphanyView profile

Assistant Professor

• Urban Design
• Informal Housing
• Rental Market Dynamics
• +4 more

Kristine Stiphany is an Assistant Professor in the Department of Architecture at the University of Buffalo (SUNY), holding dual affiliations with the School of Architecture and Planning. She directs the Design for Resilient Environments Lab and co-leads the MArch/MUP dual degree program. Her research focuses on urban design, informal housing production, rental market dynamics, and equitable urban redevelopment in Latin America, particularly Brazil. She is a licensed architect in Texas and New York, with professional experience at Studio Gang and academic positions at Texas Tech University and UT Austin. Education: PhD in Urban Planning, The University of Texas at Austin Master of Architecture, The University of Texas at Austin Bachelor of Fine Arts, University of Michigan Her research examines how rental markets shape urban form, informal housing resilience, and policy impacts on marginalized communities. Recent projects investigate Rust Belt housing conversions, U.S.-Mexico border colonias, and post-redevelopment economies in Latin America. Her work bridges academic scholarship with practical design, advising on projects for São Paulo’s Secretariat of Housing and community nonprofits. Key Themes in Publications: Over 15 peer-reviewed articles analyze informal urbanization, rental market inequities, participatory planning paradoxes, and Brazil’s Minha Casa Minha Vida housing program. Recent work emphasizes urban greening through rental densification and the role of infrastructural insurgency in marginalized areas. Awards & Recognition: 2021 Texas Society of Architects Award for Sparks Oasis Community Resilience Hub National Science Foundation Postdoctoral Fellowship (UT Austin) Fulbright Fellowship (University of São Paulo) Her teaching includes studios like ‘Reimagining Casco Bay’ (coastal resilience) and ‘Housing Hybrids’ (São Paulo peri-urban margins). She leads the Design for Resilient Environments Lab, which develops actionable frameworks for equitable urban futures.

Todd ChernerView profile

Professor

• Digital Literacy
• Educational Technology (EdTech)
• Design Thinking
• +3 more

Dr. Todd Cherner is a Professor in the Curriculum and Instruction Department at the UNC School of Education , University of North Carolina at Chapel Hill. With a career spanning K-12 teaching and higher education, he focuses on leveraging technology to promote equity and critical literacy. He holds a B.S. (2004) from the University of Central Florida, M.Ed. (2008) from Clemson University, and Ph.D. (2012) from the University of Tennessee. His research examines how implicit biases manifest in educational technologies and explores equitable technology integration strategies. Key areas include critical media literacy, AI ethics in education, and bridging the gap between extended reality (XR) tools and classroom practice. He has been honored with the University Teaching Awards (2022-23) for his innovative approaches. Recent work emphasizes generative AI frameworks for educators, AI literacy in teacher preparation, and immersive learning through XR. His scholarship spans over two decades, with publications in journals like Contemporary Issues in Technology and Teacher Education and International Journal of Multicultural Education . Cherner collaborates with educators to design inclusive instructional technologies and advocates for systemic reforms addressing privatized funding in education. His lab focuses on creating accessible tools that empower both teachers and students through technology.

Maha ShaikhView profile

Associate Professor

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +3 more

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

• Digital Forensics
• Criminal Investigation
• Computer Science
• +4 more

Matthew James Sorell is a Senior Lecturer at the University of Adelaide since October 2002. He holds a Doctor's Degree from George Mason University (1998), supervised by Geoff Orsak, focusing on 'Robust Importance Sampling'. His research spans Digital Forensics, Criminal Investigation, and Computer Science, with emphasis on image/video analysis, surveillance technologies, and data provenance. Education: PhD in Computer Sciences, George Mason University, 1998 Research Interests: His work focuses on digital evidence analysis, forensic science applications, and the development of methodologies for authenticating digital media. Key areas include photo-sensor fingerprinting, mobile forensics (e.g., Snapchat surveillance protocols), and health data provenance analysis (Apple Health databases). He has contributed to advancing video motion detection, smart camera systems, and forensic photography audit logs. Publications: His recent work emphasizes digital forensics in health data and social media, with notable contributions to Forensic Science International Digital Investigation and IEEE conferences. Earlier research includes biologically-inspired video enhancement and JPEG quantization analysis. Professional Roles: From 2017-2022, he worked as a Digital Investigations Consultant (part-time). He has edited conference proceedings (e.g., e-Forensics 2009) and contributed to interdisciplinary studies like food advertising patterns on Australian TV. Labs/Teams: Collaborates with teams in digital crime forensics, surveillance systems, and multimedia forensics, reflected in his conference organizing roles and journal editorships.

Veronica GrahamView profile

Lecturer

• Virtual Reality Art
• Experimental Comics
• Climate Change Art
• +5 more

Veronica Graham is a new media artist and printmaker serving as Lecturer in Stanford University's Department of Art & Art History. Based in Oakland and Portland, she founded the design studio Most Ancient in 2010, specializing in experimental comics and exploration games. Her interdisciplinary practice bridges digital media and analog print publishing through poetic world-building that confronts contemporary environmental and social challenges. Her research centers on virtual reality narratives, climate-focused printmaking, and surrealist comics that explore internalized fictions. Key projects include the VR experience Diatribes (2024), examining fears about global warming through a haunted house framework, and the Global Warming Agitprop Posters series (2020-present) using phosphorescent materials to visualize ecological instability. She employs techniques like Wang tile systems for pattern generation and split fountain printing to stretch technical boundaries. 2025 Writer-in-Residence, Writing Space, Chicago 2024 IndieCade Impact Award Nominee for Diatribes 2022 Oculus Launch Pad Grant Recipient 2019 Best American Comics Notable Comics selection 2017 Artist’s Book Residency Grant, Women’s Studio Workshop Graham’s work appears in MoMA, NYPL, and SFMOMA collections. Her VR projects have been presented at Kala Art Institute, Printed Matter (NYC), and Sónar+D. As an educator, she lectures on virtual reality at Stanford and has conducted workshops at institutions including Tufts University and UC Berkeley. Her studio Most Ancient functions as both creative laboratory and publishing platform, supporting collaborative projects like Real Milk (2023) which examines agricultural automation through translucent book design.

• AI & Neuroscience
• Biomedical Engineering
• Neurotechnology
• +7 more

Aldo Faisal is a Professor of AI & Neuroscience at Imperial College London's Department of Bioengineering and Faculty of Engineering. He is also the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare (£20M), leading the Faisal Lab. His roles include associate investigator at the MRC London Institute of Medical Sciences and affiliation with the Gatsby Computational Neuroscience Unit (UCL). His research bridges AI, neuroscience, and healthcare, focusing on neurotechnology, human behavior analysis, and clinical applications. Education: Studied Computer Science and Physics in Germany, followed by Biology at the University of Cambridge (Emmanuel College). Earned a PhD in Neuroscience under Simon Laughlin, and postdoctoral work with Daniel Wolpert on sensorimotor control. Prior professional experience includes roles at McKinsey & Co. and Credit Suisse. Research Interests: Combines cross-disciplinary approaches to study brain-behavior relationships, developing technologies for neurological disorders and amputees. Key labs include the Brain & Behaviour Lab (neurotechnology) and Behaviour Analytics Lab (behavioral data science). Techniques include machine learning, robotics, and neuroimaging (EEG/fNIRS). Publications: Over 100+ peer-reviewed articles, spanning AI in healthcare, motor learning, and neurotechnology. Recent work emphasizes safety of AI in critical care, wearable biomarkers for neuromuscular diseases, and human-AI collaboration. Awards: UKRI Turing AI Fellowship, Toyota Mobility Prize ($50k), Rosetree Interdisciplinary Award (£300k), and fellowships from German National Merit Foundation and Böhringer-Ingelheim Foundation. Elected to Global Futures Council (WEF, 2016). Grants & Labs: Leads £20M CDT in AI for Healthcare, £2M Turing Fellowship project, and manages labs at Imperial and University of Bayreuth (Germany). Collaborates with institutions like CRUK Convergence Science Centre and Data Science Institute.

James BishopView profile

Professor

• Ocean carbon cycle dynamics
• Remote sensing
• Aquatic chemistry
• +5 more

James Bishop is a Professor in the Department of Earth and Planetary Science at the University of California, Berkeley, and a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. He earned a B.Sc. (Honors) in Physical and Inorganic Chemistry from the University of British Columbia and a Sc.D. in Marine Chemistry from the MIT/Woods Hole Oceanographic Institution Joint Program in Oceanography. His research focuses on ocean carbon cycle dynamics, remote sensing, aquatic chemistry, marine biogeochemistry, and autonomous observing systems. Key affiliations: Lawrence Berkeley National Laboratory (since 2006), University of Victoria (School of Earth and Ocean Sciences), and Columbia University (Lamont Doherty Earth Observatory). Dr. Bishop’s research spans marine particle dynamics, biogeochemical cycling, and development of autonomous sensors for ocean carbon monitoring. His work involves major initiatives like GEOTRACES and VERTIGO, with emphasis on particulate inorganic/organic carbon (PIC/POC) proxies, carbon flux validation, and optical sensor integration. Recent publications highlight advancements in robotic oceanography, carbon export quantification, and cross-polarized light detection methodologies.

Janice KimView profile

Lecturer

• Early Childhood Education
• Educational Policy
• Global Education Development
• +3 more

Dr. Janice Kim is a Lecturer in Education (Educational Leadership & Policy) at the University of Glasgow, specializing in global education development with a focus on early childhood and pre-primary education systems in low-resource contexts. Her research emphasizes policy analysis, equity, and North-South research partnerships, particularly during crises like the ongoing pandemic. Current Position: Lecturer in Education at University of Glasgow Research Focus: Pre-primary education expansion, pandemic impacts on education systems, policy implementation gaps, and ethical global partnerships Kim's work examines Ethiopia's educational reforms and their socioeconomic implications, including the effects of the 2020 pandemic on early childhood access and learning outcomes. She collaborates with institutions like the REAL Centre at Cambridge University, contributing to projects such as IT'S PLAY—a teacher training initiative in Africa. Her publications span over a decade, analyzing educational inequalities, financing misalignments, and crisis responses. Notable contributions include studies on pandemic-related learning loss and the role of caregiver engagement in early education. Teaching includes advanced policy inquiry and modern educational thought courses, reflecting her commitment to bridging theory and practice in global education systems.

Lee PretloveView profile

Lecturer

• Digital Preservation
• Information Management
• Extended Reality (XR) in Education
• +3 more

Dr. Lee Pretlove is a Lecturer in Librarianship and Information Management at the University of Sheffield's School of Information, Journalism and Communication. He holds a PhD from the University of Sheffield (2022), focusing on runners' embodied data experiences through wearable technology. Prior roles include Systems Archivist at Cambridge University Library and Polonsky Fellow in Digital Preservation (collaborating with Bodleian Libraries). He currently holds an ESRC WRDTP Postdoctoral Fellowship (2023/24) and will assume his lecturer role post-fellowship in 2024. Education: BA (Exeter), MA (Exeter), PhD (Sheffield), PGDip in Archive Studies (Dundee). Research interests span digital preservation, extended reality (XR) in education, data privacy, and human-technology interaction. Teaching includes modules in MSc Data Science, MSc Information Management, MA Librarianship, and the BA Digital Media and Society program. He develops AR resources using WondaVR to simulate workplace environments for student learning. Awards: AHRC doctoral funding, ESRC fellowship, Polonsky Fellowship Research groups: Digital Societies and Health Informatics at Sheffield Professional memberships: ASIS&T, University of Sheffield’s Participatory Research Network Publications include work on digital preservation collaboration, archival ethics, and runner data studies. His teaching emphasizes student-centered learning, employability, and compliance with information governance frameworks like GDPR.

• Human-AI Value Alignment
• Ethical Machine Learning
• Algorithmic Fairness
• +5 more

Neil S. Gaikwad is an Assistant Professor at the University of North Carolina, Chapel Hill, in the School of Data Science and Society and Department of Computer Science. He holds a PhD in Society-Centered AI from MIT and has affiliations with the MIT Dalai Lama Center for Ethics and UNC’s Parr Center for Ethics. His research focuses on Human-AI Alignment, ethical machine learning, and policy design for global equity, particularly in underserved populations. His work integrates ethical principles into AI systems to address societal disparities, climate change, and algorithmic fairness. Dr. Gaikwad has led projects such as the AI and Policy research program, developed systems like Daemo and EteRNA, and contributed to high-impact publications in AAAI, ACM CSCW, and PNAS. He has mentored over 30 students, many of whom have secured fellowships and advanced AI fairness research. Awards include MIT’s Karl Taylor Compton Prize and Facebook Research Fellowship. His teaching spans courses on AI ethics, policy, and societal impact at MIT, CMU, and UNC, with student evaluations praising his mentorship and course design. He has advised global institutions like the UN and EU on AI policy, and his work bridges academia, industry, and policy through initiatives like Data-driven Humanitarian Mapping. His art installations, such as Beyond Boundaries , explore environmental and ethical themes, reflecting his interdisciplinary approach to science and society.