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Masum BillahView profile

Senior Lecturer

• Data Analytics
• Telecommunications
• Artificial Intelligence
• +4 more

Dr. Masum Billah is a Senior Lecturer at Staffordshire University, affiliated with the Digital, Tech, Innovation & Business School. He joined the university in 2022 after teaching full-time at other universities since 2019. His academic journey includes a B.Sc. in Engineering from Bangladesh, an M.Sc. in Computer & Network Engineering from the University of Greenwich (UK), and a PhD in Electrical and Electronic Engineering from Staffordshire University. He also holds postgraduate certificates in Higher Education and Research Methods. As a course leader for the B.Sc. Embedded Electronic Systems Design and Development Engineer program, he teaches both undergraduate and postgraduate courses such as IoT Devices, Artificial Intelligence, and Communications. His research focuses on data analytics, telecommunications, IoT security, and healthcare research, with a particular interest in wireless sensor networks and machine learning applications. He actively promotes STEM education as a STEM Ambassador and contributes to initiatives like university competitions and school outreach. Masum’s professional memberships include Fellow of The Higher Education Academy (FHEA), IEEE, and roles in academic leadership. His work integrates flipped learning methodologies and spans engineering consultancy, short courses, and enterprise-focused projects. Recent recognitions include Whatuni Student Choice Awards 2023 for Facilities and Social Inclusion, reflecting his commitment to educational excellence.

Srabanti ChowdhuryView profile

Associate Professor

• Wide Bandgap Semiconductors
• Thermal Management
• Power Electronics
• +3 more

Srabanti Chowdhury is an Associate Professor of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy at Stanford University. She holds a courtesy appointment in Materials Science and Engineering. Her research focuses on wideband gap (WBG) and ultra-wide bandgap (UWBG) materials, energy-efficient power/RF systems, and thermal management using diamond integration. She earned her M.S. (2008) and Ph.D. (2010) in Electrical and Computer Engineering from UC Santa Barbara. Key achievements include the 2023 Technical Excellence Award (SRC), 2020 Alfred P. Sloan Fellowship, and 2024 IEEE Fellow distinction. She has authored 120+ journal papers, 26 patents, and serves on IEEE committees like IRPS and VLSI Symposium. Her work addresses thermal boundary resistance in GaN/SiC-diamond interfaces and 3D thermal scaffolding for integrated circuits. She also explores vertical GaN power devices and monolithic bidirectional switches. Notable research directions include AI-driven thermal simulation pipelines, diamond-incorporated RF cooling, and high-voltage GaN PN diodes. Her contributions span semiconductor fabrication (e.g., MOCVD growth), interface engineering, and device-level thermal solutions for next-generation electronics.

• Immersive Media
• Extended Reality (XR)
• Virtual Reality (VR)
• +6 more

Prof. Jan-Niklas Voigt-Antons is a Professor of Applied Computer Science specializing in Immersive Media at Hamm-Lippstadt University of Applied Sciences. His work focuses on Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), and their applications in healthcare, education, and human-machine interaction. He holds a Dr.-Ing (Engineering Doctorate) and has extensive industry experience with organizations like Daimler AG, Telekom Innovation Laboratories, and the German Research Center for Artificial Intelligence (DFKI). Research interests include user experience (UX) design, emotion analysis in virtual environments, and accessibility for aging populations. He has led projects on wearable health tech, AR/VR usability, and immersive training systems. Notable areas of impact include developing guidelines for inclusive XR interfaces and advancing telemedicine through immersive technologies. Prof. Voigt-Antons has collaborated with Charité – Universitätsmedizin Berlin on healthcare applications and has contributed to standardization efforts in telecommunications. His technical competencies include agile project management, statistical analysis, and mobile application development for iOS/Android. He advises on UX evaluations, usability testing, and physiological data analysis for industry partners. Key achievements include creating the Story Time Dataset for video quality research and developing the ColorTable system for flavor perception studies. His work emphasizes real-world deployment, with projects addressing mobility challenges for seniors in rural areas and improving dementia care through tablet-based interventions.

Hemant PurohitView profile

Associate Professor

• Human-Computer Interaction
• Data Mining
• Natural Language Processing
• +5 more

Hemant Purohit is an Associate Professor in the Department of Information Sciences and Technology at George Mason University, and Director of the Humanitarian Informatics Lab. He focuses on developing interactive intelligent systems to support emergency services and humanitarian organizations by analyzing non-traditional data sources like social media, web, and IoT using data mining, NLP, and human-centered computing. His work integrates social-psychological theories to enhance human capabilities in crisis contexts. Purohit holds a PhD in Computer Science and Engineering from Wright State University. His research has been recognized through prestigious awards including the ITU Young Innovator Award (2014), NSF CRII Award (2017), and a best paper award at IEEE/WIC/ACM Web Intelligence (2018). His lab is supported by grants from NSF and international agencies. Key research interests include crisis informatics, social computing, and AI ethics. He has led projects on adversarial scam detection, inclusive cybersecurity, and human-AI teaming for disaster response. Purohit serves on editorial boards for journals like Elsevier's Information Processing & Management and Frontiers in Big Data, and actively contributes to international conferences in his field. His work emphasizes real-world impact, bridging technical innovation with societal needs through collaborations between researchers and practitioners. Current projects address challenges in multilingual data analysis, social media activism, and resilience data repositories.

Nora McDonaldView profile

Assistant Professor

• Digital Privacy
• Artificial Intelligence
• Machine Learning
• +7 more

Nora McDonald is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University. She holds a PhD in Information Science from Drexel University and a BS in English from Cornell University. Her research focuses on digital privacy, ethical technology design, and the societal impacts of emerging technologies like AI. She investigates privacy practices in dynamic surveillance environments, particularly for marginalized populations, and examines how data relations shaped by social media algorithms influence identity and societal norms. Her work has been published in top venues including ACM CHI and CSCW, earning multiple Best Paper awards. She is actively involved in designing curricula addressing AI ethics and generative AI policy in higher education. Currently, she leads a National Science Foundation-funded study on privacy ecosystems and collaborates on projects like equitable community internet access during crises. Research interests span artificial intelligence, machine learning, cybersecurity, and human-centered computing. Notable projects include studies on post-Roe reproductive privacy challenges, neurodivergent identity verification systems, and Gen Z's interaction with AI technologies. She teaches courses on human-computer interaction (HCI) and technology ethics, mentoring students pursuing PhDs in privacy and health informatics. Awards: Best Paper Awards at ACM CHI and CSCW Grants: NSF SaTC grant for privacy ecosystems research Labs/Teams: Leads George Mason's Privacy & Health Informatics Initiative

• Data Quality
• Database Systems
• Data Profiling
• +7 more

Felix Naumann is a Professor at the Hasso Plattner Institute in Potsdam, Germany, specializing in data management and database systems. His research focuses on data quality, data profiling, entity resolution, functional dependencies, and database optimization. He has authored over 300 publications in top-tier conferences and journals, including VLDB, SIGMOD, and ICDE. His work bridges theoretical foundations with practical systems, such as TASHEEH for data cleaning and PRISMA for privacy-preserving schema matching. He serves as an editor for the ACM Journal of Data and Information Quality and has led initiatives on hybrid conference formats and inclusive computing. Key contributions include: Data Quality: Pioneered studies on data quality's impact on machine learning and developed tools like AutoTSAD for anomaly detection. Data Dependency Discovery: Advanced functional and inclusion dependency mining algorithms, including Hitting Set Enumeration methods. Schema Matching & Integration: Created systems like BrewER and Frost for entity resolution and schema alignment. Educational Impact: Led massive open courses in data engineering with over 10,000 participants. His work emphasizes practical applications in cultural heritage data (ReCLAIM), Wikipedia table analysis, and cross-platform data systems (RHEEMix). He collaborates extensively with industry and academia, addressing challenges in dynamic datasets and data governance.

Igor JankovicView profile

Associate Professor

• Groundwater Hydrology
• Environmental Engineering
• Contaminant Transport
• +2 more

Igor Jankovic is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on groundwater flow and contaminant transport in heterogeneous aquifers, with particular emphasis on the impact of aquifer heterogeneity on solute movement and transport modeling. Education: PhD in Civil Engineering, University of Minnesota (1997) MS in Civil Engineering, University of Minnesota (1993) BS in Civil Engineering, University of Split, Croatia (1990) His work addresses critical issues in groundwater hydrology including: Advective transport mechanisms in heterogeneous media Breakthrough curve prediction and analysis Effective hydraulic conductivity modeling Upscaling of flow and transport parameters Application of the Analytic Element Method (AEM) for complex aquifer simulations Comparison of transport models (CTRW, MRMT) in heterogeneous environments Research trends in his publications reveal a focus on: Three-dimensional heterogeneous aquifer modeling Non-Fickian and anomalous transport behavior Impact of spatial variability on contaminant migration Development of numerical algorithms for large-scale groundwater simulations Validation of stochastic transport theories against field experiments (e.g., MADE and Borden aquifers) Interaction between physical and chemical heterogeneity in reactive transport

Lizhen QuView profile

Lecturer

• Natural Language Processing (NLP)
• Privacy-Preserving Methods
• Neuro-Symbolic AI
• +4 more

Dr. Lizhen Qu is a Lecturer at Monash University’s Faculty of Information Technology, part of the AIM Lab. His research focuses on robust and privacy-preserving neuro-symbolic methods for NLP and multimodal applications, including causal reasoning in dialogue systems, legal AI, digital health, and social NLP. Previously, he worked at Data61/CSIRO and completed his PhD at Saarland University and the Max-Planck-Institute for Informatics. Education: PhD in Computer Science from Saarland University and Max-Planck-Institute for Informatics. Research interests include integrating deep learning with logical reasoning, causal discovery, and ethical AI applications. He leads projects like TMLGenAI (Trusted Generative AI) and HARNESS (Neuro-Symbolic Systems), addressing model robustness and societal impact. Projects: TMLGenAI (2024–2026), HARNESS (2023–2027), and Accessible Data Exploration for Blind People (2023–2027) Contributions: Developed benchmarks like LazyReview and ACCESS, and co-organized ACL and IJCNLP workshops Research trends span causal discovery in NLP, federated learning for legal systems (e.g., FedLegal), and multimodal security. His work aligns with UN SDGs for innovation and health.

Franziska PannachView profile

Assistant Professor

• Computational Linguistics
• Digital Humanities
• Semantic Web Technology
• +4 more

Dr. Franziska Pannach is an Assistant Professor at the Faculty of Arts of the Rijksuniversiteit Groningen (Netherlands), affiliated with the Centre for Language and Cognition (CLCG) . She specializes in Computational Linguistics , Digital Humanities , and Semantic Web Technology , focusing on modeling narratives and mythological texts using NLP and ontologies. Her work emphasizes Open Science and cross-cultural comparisons of folktales and myths. Education : Dr. rer. nat. (PhD) in Applied Computer Science (Digital Humanities/Computational Linguistics), University of Göttingen, Germany (2024) MSc in Applied Computer Science (Digital Humanities), University of Göttingen (2019) BSc in Applied Computer Science (Computational Neuroscience), University of Göttingen (2013) Research Interests include computational approaches to mythological and folkloristic analysis, shallow ontologies for narrative comparison, and semantic web applications in cross-cultural studies. She leads the GOLEM (Graph Ontologies for Literary Evolution Models) project and contributed to the STRATA (Stratification Analyses for Mythic Narrative Materials) project. Teaching : Semantic Web Technology (MSc), Database-driven Web Technology (BSc), Digital Humanities: Tools and Methods (MSc), Analysing Data (MSc) Supervision : PhD students Pritha Majumdar (RUG) and Kristina Schneider (RUG/University of Mainz) Publications focus on narrative ontologies, mythological event annotation, and NLP for under-resourced languages. Her recent work includes the GOLEM Triple Store and shallow ontologies for myth comparison. Networks & Memberships : Member, Digital Humanities Association of Southern Africa (DHASA) since 2019 Co-founder and editor of the Journal of Digital Humanities Association of Southern Africa (JDHASA) Collaborations with institutions in Germany, South Africa, and Denmark

• Sign Language Policy
• Deaf Studies
• Disability Studies
• +3 more

Maartje De Meulder is a senior researcher at HU University of Applied Sciences Utrecht and holds a honorary research fellowship at Heriot-Watt University 's SIGNS@HWU department. Her work bridges Deaf Studies, Disability Studies, and Human-Computer Interaction, focusing on ethics in sign language technologies and inclusive practices. She co-edited Innovations in Deaf Studies (2017) and The Legal Recognition of Sign Languages (2019), and guest-edited journal special issues. Her current research explores how technologies shape deaf communication and access, with recent publications on Deaf-centred design and gaze work in interpreting . She leads the dr Deaf workshops to support deaf scholars and is active in policy advocacy for minority sign languages. Projects include studying deaf-hearing family sign language policies and a proposed Master in Applied Deaf Studies. She splits her time between Belgium, the Netherlands, and Norway and advocates for deaf representation in tech design.

Caterina Ida ZeppieriView profile

Associate Professor

• Calculus of Variations
• Partial Differential Equations
• Material Science
• +3 more

Professor Caterina Ida Zeppieri is an Associate Professor at the Institute for Numerical and Applied Mathematics , University of Münster, Germany. Her research focuses on homogenization theory, calculus of variations, and applications in material science. She leads the Analysis and Modelling Research Group , which explores variational methods and their computational implications. Research Interests: Her work centers on stochastic and deterministic homogenization of free-discontinuity problems, Γ-convergence, and the analysis of heterogeneous materials. She investigates mathematical models for fracture mechanics, phase transitions, and plasticity, often employing advanced techniques from calculus of variations and partial differential equations. Recent Contributions: Recent articles address topics such as strong approximation of SBV functions (2025), stochastic homogenization in perforated domains (2024), and gradient damage models (2022). These studies emphasize rigorous mathematical analysis with applications to real-world material behavior. Grants & Collaborations: Zeppieri’s research is supported by grants from the German Research Foundation (DFG), including projects within the Cluster of Excellence 2044 (e.g., C1: Evolution and Asymptotics). She collaborates with institutions globally, advancing interdisciplinary approaches to material modeling. Teaching: She teaches advanced courses like Applied Functional Analysis and Calculus of Variations , and mentors students through seminars and thesis supervision. Her group hosts regular colloquia and workshops, fostering academic exchange in applied mathematics.

Derek HaoView profile

Research Fellow

• Materials Science
• Nanotechnology
• Environmental Engineering
• +5 more

Derek Hao is a materials scientist and environmental engineer holding the Vice Chancellor’s Postdoctoral Fellowship at RMIT University's School of Science. His research focuses on advanced materials for environmental sustainability and energy conversion, particularly in waste plastic valorization, photocatalytic systems, and nanotechnology. He has secured over AU$1.2m in research funding and commercialized two patents on bismuth catalysts, generating significant industry impact. His work spans collaborations across Australia, Germany, China, and beyond. Education: PhD in Engineering (University of Technology Sydney, 2022); Bachelor’s in Chemical Sciences (China University of Geosciences). Research Priorities: Sustainable waste plastic solutions, photocatalytic energy conversion, nanomaterials, and environmental toxicology. Awards: Humboldt Research Fellowship (2022), RMIT Vice Chancellor’s Fellowship (2023), inclusion in Stanford’s Top 2% Scientists (2022–2023). Teaching: Teaches Analytical Chemistry and supervises 5 PhD students in areas like electrocatalysts for hydrogen production and CO₂ reduction. Grants & Patents: AU$1.2m+ in funded projects; commercialized bismuth catalyst patents yielding AU$500k+ annually. His research bridges fundamental science and practical environmental solutions, with over 100 peer-reviewed papers (H-index 46), including ESI Highly Cited and Hot Papers. He serves on editorial boards for journals like Science for Energy and Environment and Nano Research Energy .

Constantine StephanidisView profile

Professor

• Human Computer Interaction
• Universal Access
• Design for All
• +5 more

Constantine Stephanidis is a Professor at the Department of Computer Science, University of Crete, and Director of the Institute of Computer Science at the Foundation for Research and Technology - Hellas (FORTH). He also serves as Head of the Human-Computer Interaction Laboratory, Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme of ICS-FORTH. Additionally, he is faculty of the Interdepartmental Graduate Programme in the BRAIN and MIND sciences of the University of Crete, and President of the Board of Directors of the Science and Technology Park of Crete. His research focuses on Human-Computer Interaction, Universal Access, and Assistive Technologies. Dr. Stephanidis introduced the concept and principles of Design for All in Human-Computer Interaction in the early 1990s. His work spans multiple areas including ambient intelligence environments, universally accessible game design, and health telematics. He has pioneered approaches to making technology accessible to diverse user populations, with particular attention to context-aware and adaptive interfaces that accommodate varying user needs and abilities. Prof. Stephanidis has published over 350 technical papers and edited several influential books including "The Universal Access Handbook" (2009) and "User Interfaces for All" (2001). His publication record shows a consistent focus on making technology accessible to all users, with recent work emphasizing ambient intelligence environments, universally accessible gaming, and health telematics applications. His research demonstrates a progression from foundational work on universal access principles to more specialized applications in various domains. ERCIM WG Award (2000) ERCIM Information and Communication Science and Technology Award (ICST 1999) Over the past 25 years, Prof. Stephanidis has served as Scientific Responsible for more than 40 European Commission and nationally funded projects. He has held leadership roles in numerous academic and policy initiatives, including serving as Editor-in-Chief of the Springer journal "Universal Access in the Information Society," Founding Chair of the ERCIM Working Group "User Interfaces for All," and General Chair of the International Conference 'Universal Access in Human-Computer Interaction.' He has also been actively involved in European Commission R&D Policy on Information Society, serving on various committees including the FP6 Information Society Technologies Management Committee and the eAccessibility Expert Group. He founded and leads the Human-Computer Interaction Laboratory, the Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme at ICS-FORTH. These research units form an integrated ecosystem focused on developing inclusive technologies that adapt to diverse user needs and contexts. His teams have been instrumental in shaping European research agendas in universal access and accessibility.

John SakalukView profile

Associate Professor

• Psychometric Measurement Modeling
• Quantitative Psychology
• Clinical Psychology Interventions
• +3 more

Dr. John Sakaluk is an Associate Professor in the Department of Psychology at Western University. He holds affiliations with the Social, Personality, and Developmental Psychology area and the Clinical Science and Psychopathology area. His research focuses on psychometric measurement modeling, particularly in developing analytic tools for measurement techniques, and evaluating psychological intervention literatures for credibility and inclusivity. Sakaluk earned his PhD in Social Psychology (with a Quantitative minor) from the University of Kansas and completed a postdoctoral fellowship with Dr. Emily Impett. Previously, he taught at the University of Victoria, covering human sexuality and research methods. His work emphasizes methodological rigor and the use of secondary data to assess intervention impacts. Education: PhD in Social Psychology, University of Kansas (with minor in Quantitative Psychology) Bachelor’s in Psychology, minor in Family and Child Studies Research Interests: Sakaluk’s work bridges quantitative methodology and applied psychology. He develops psychometric tools for group-based meaning analysis and evaluates intervention efficacy through meta-scientific lenses. His recent focus includes dyadic structural equation modeling and assessing biases in close-relationship research. He advocates for transparent reporting and replicability in clinical and social psychology. Advising & Grants: While no advisees are listed, his teaching and research emphasize statistical methods, suggesting an active role in mentoring graduate students in quantitative techniques. No specific grants are mentioned in the provided text. Labs/Teams: Affiliated with Western’s Department of Psychology research groups, though no specific lab names are provided.

• Human-Robot Interaction
• Social Robotics
• Group Dynamics
• +3 more

Sarah Gillet is a Postdoctoral Researcher at the Division of Robotics, Perception, and Learning at KTH Royal Institute of Technology, where she focuses on developing social robot behaviors to foster collaboration and inclusion in human groups. Her research addresses challenges like in-group favoritism through computational approaches to shape group interactions. She holds a Doctoral Thesis (2024) titled Computational Approaches to Interaction-Shaping Robotics . Her work emphasizes group dynamics , robot-mediated inclusion , and pedagogical robotics , particularly in children and adolescent populations. Key areas include gaze behavior analysis, equitable participation promotion, and social robot roles such as mediators in educational settings. Dr. Gillet teaches the Social Robotics (DD2413) course and supervises master theses. Her recent publications explore robot gaze behaviors for participation balance, socially appropriate listening, and influence prediction models like RoSI. She actively participates in conferences like ACM/IEEE HRI and IEEE RO-MAN. Her research integrates computational methods with social science insights to design robots that actively improve human group interactions, with applications in education, collaboration, and bias mitigation.