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Matt WardView profile

Professor

• Speculative Design
• Radical Pedagogy
• Urban Computing
• +3 more

Professor Matt Ward holds dual roles as Professor of Design and Senior Lecturer at the Design Department of Goldsmiths, University of London. His research explores speculative design, radical pedagogy, and the intersection of technology with societal futures. Ward is a founding member of DWFE, a post-disciplinary design syndicate creating interventions to reconfigure human perceptions. He consults for organizations like Nokia and BERG, and his work includes three international patents related to IoT and urban computing. Notable projects include 'Disco School' series and 'The Illegal Town Plan,' which reimagine urban and coastal futures through participatory design. His academic affiliations include MIT Media Lab and the Royal College of Art. Ward actively publishes in areas of heritage studies, design education, and critical theory, with works featured in journals like International Journal of Heritage Studies and Temes de Disseny . Educational background inferred from professional roles and publications. Ward lectures globally on design, technology, and education, maintaining a blog and active photography practice. His research emphasizes speculative methodologies to address societal challenges, blending practice with theoretical inquiry. Publications span books, articles, and exhibitions, with a focus on rethinking heritage processes and urban futures. Collaborations include projects with Jimmy Loizeau and institutions like the Max Planck Institute. No specific grants or awards listed, though his extensive patent portfolio highlights technical contributions. Teaching and advisory roles are central to his profile, though formal student lists are not provided.

Gea RahmanView profile

Lecturer

• Data Science
• Machine Learning
• Ensemble Learning
• +7 more

Dr. Gea Rahman is a Lecturer in Computing at Charles Sturt University (CSU), specializing in data science and machine learning. He holds a PhD in Computer Science from CSU, and MSc/BSc degrees from Rajshahi University, Bangladesh, where he was awarded a Gold Medal for academic excellence. With over 20 years of teaching experience, he previously served as Professor and Programme Director at Bangladesh Agricultural University. Education: PhD in Computer Science (Data Science/ML), Charles Sturt University (2011-2015) MSc in Computer Science & Engineering, Rajshahi University (2002-2003) BSc (Hons) in Computer Science & Technology, Rajshahi University (1998-2002) Research Interests: Data science applications in agriculture, healthcare, and environmental monitoring Machine learning techniques including ensemble/deep learning, transfer learning, and incremental learning Data preprocessing methods (missing value imputation, outlier analysis) AI ethics and healthcare consent strategies Awards: Global Research Impact Recognition Award 2020 Best Researcher Award Gold Medal for Academic Excellence (2003) Advising & Grants: Principal supervisor for multiple postgraduate students Recipient of grants including: Ai-Enabled Segmentation of Brain MRI (2024) Adaptive Federated Learning Framework (2024) Unusual Behaviour Detection in Aged Care (2023) He is part of the Data Mining Research Group (DaMRG) and actively contributes to conferences/journals as a reviewer and editorial board member.

Muhammad M. SherifView profile

Assistant Professor

• Smart Materials
• Structural Systems
• Machine Learning Applications
• +4 more

Dr. Muhammad M. Sherif is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama at Birmingham (UAB), part of the School of Engineering. He joined UAB in Fall 2019 after completing his Ph.D. at the University of Virginia and M.S. at Carnegie Mellon University, both in structural engineering. His research focuses on smart materials, structural systems, and machine learning applications in civil infrastructure. He is particularly interested in additive manufacturing for construction and the development of innovative materials like engineered cementitious composites. Education: B.S., United Arab Emirates University M.S., Carnegie Mellon University Ph.D., University of Virginia Research Interests: Dr. Sherif’s work spans material characterization, machine learning models for structural analysis, and the integration of advanced materials into infrastructure systems. He explores topics like crack detection using UAVs, superelastic shape memory alloys, and multi-objective optimization in welding processes. His Advanced Materials and Smart Infrastructure Systems (AMSIS) lab emphasizes interdisciplinary approaches to solving civil engineering challenges. Publications: His recent work includes studies on UAV-based pavement crack detection, machine learning for concrete strength prediction, and optimization of tube-to-tubesheet joints. These reflect trends toward AI-driven solutions and sustainable material innovations. Advising: He actively mentors students in multidisciplinary research projects, emphasizing self-motivation and innovation. His lab collaborates on topics like composite materials, structural health monitoring, and infrastructure resilience. Labs/Teams: His AMSIS lab at UAB focuses on advancing smart materials and infrastructure systems through cutting-edge research and collaboration.

Seth DillardView profile

Academic

• Biomedical Engineering
• Mechanical Engineering
• Cardiovascular Biomechanics
• +5 more

Seth Dillard is an Associate Teaching Professor in the Department of Mechanical Engineering and School of Biomedical Engineering at Colorado State University (CSU). He joined CSU in January 2022, teaching courses such as Introduction to Mechanical Engineering, Finite Element Analysis, Machine Design, and Problem-Based Learning in Biomedical Engineering. He advises Senior Design teams and honors students across both disciplines. In 2023, he introduced new courses including Senior Design and a Berlin-focused Education Abroad program. Education: PhD (2011) and BSE (2004) in Mechanical Engineering from the University of Iowa. He also holds an EMT-P certification (1996) and postdoctoral research experience at the University of Iowa's IIHR from 2011–2014. Research and teaching interests include cardiovascular biomechanics, image-based modeling, energy systems, and applying engineering principles to healthcare. His teaching innovations include courses like Quantitative Systems Physiology and Prosthetics Innovation in Ecuador, blending engineering with global health challenges. Dr. Dillard has received multiple teaching awards, including the College of Engineering Faculty Excellence Award (2020) and four Excellence in Teaching awards from the University of Iowa. He has supervised over 30 students in thesis and design projects and actively participates in academic service roles such as Associate Director of SBME and accreditation committee leadership. His research spans computational fluid dynamics, cardiovascular modeling, and biomedical device design. He has published extensively in journals like Journal of Neurosurgery and Theoretical and Computational Fluid Dynamics, with peer-reviewed conference contributions since 2005.

• 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.

Robert RoyalView profile

Visiting Professor

• Catholic Studies
• Ethics
• Political History
• +5 more

Robert Royal is a Visiting Professor and Emeritus St. John Henry Newman Chair in Catholic Studies at Thomas More College of Liberal Arts. He holds a B.A., M.A., and Ph.D. in Comparative Literature from Brown University and the Catholic University of America. Royal has taught at Brown University, Rhode Island College, and the Catholic University of America. He is the founder and president of the Faith & Reason Institute in Washington, D.C., and Editor-in-Chief of The Catholic Thing. His research focuses on ethics, culture, religion, and politics, with notable works including A Deeper Vision and The Catholic Martyrs of the Twentieth Century . He has received fellowships from the Renaissance Society of America and the Fulbright Program. Royal is also a prolific translator of French, Spanish, and Italian texts, including works by Yves Simon and Roberto Papini. His academic contributions span scholarly books, articles in journals like First Things and Communio , and frequent media appearances discussing religion and public life. Royal’s work bridges intellectual history, religious thought, and contemporary cultural issues, emphasizing the enduring relevance of Catholic intellectual traditions. Education: B.A. and M.A., Brown University Ph.D. in Comparative Literature, Catholic University of America Key Roles: Founder and President, Faith & Reason Institute Editor-in-Chief, The Catholic Thing Former Editor-in-Chief, Prospect Magazine Notable Awards: Renaissance Society of America Fellowship (1977) Fulbright Scholar (1978) Research Interests: Catholic intellectual tradition Ethics and culture Political history and theology Cultural intertextuality His articles and books reflect a commitment to interdisciplinary scholarship, engaging with topics ranging from medieval philosophy to modern ethical dilemmas. Royal’s lectures and writings emphasize the role of religion in shaping societal values and addressing contemporary challenges.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +5 more

Dr. Masoud Makrehchi is an Associate Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. His research focuses on Natural Language Processing, Artificial Intelligence, Machine Learning, and Social Computing, with a strong emphasis on applications in network science and moral AI. He holds a PhD from the University of Waterloo (2007), along with earlier degrees from Shiraz University and Iran University of Science and Technology. Prior to academia, he worked as a Senior Research Scientist at Thomson Reuters (2008–2012) and completed a postdoctoral fellowship at the University of Waterloo (2007–2008). His research expertise includes text mining, social network analysis, and network science, addressing challenges such as signed social network analysis, document classification, and crime trend prediction using social media data. He has received several awards, including the NSERC Postgraduate Scholarship and the SBP Challenge Award (2012). His work spans over 50 peer-reviewed publications in journals like Expert Systems with Applications, Social Network Analysis and Mining, and Web Intelligence, with contributions to conferences such as GECCO and IEEE/ACM. Dr. Makrehchi’s publications highlight innovations in feature selection, text segmentation, and AI-driven frameworks for requirements elicitation. His recent work explores coherence graphs for text segmentation, generative AI in education, and bias detection in medical datasets. He has also contributed to patent applications related to sentiment analysis and text extraction systems.

Florian GassnerView profile

Associate Professor

• Cultural History of Central & Eastern Europe
• Music, Religion and Literature
• History and Theory of Censorship
• +3 more

Florian Gassner is an Associate Professor of Teaching in the Department of Central, Eastern, and Northern European Studies at the University of British Columbia (UBC), part of the Faculty of Arts. His research focuses on the cultural history of Central & Eastern Europe, intersections of music, religion, and literature, and the history of censorship. He holds an M.A. from Ludwig Maximilian University of Munich (2008) and a Ph.D. from UBC (2012). Dr. Gassner has held visiting professorships at the University of Kassel (2016/17) and has taught at Mount Allison University. He is a Fellow of the New Europe College in Bucharest and represented the German Academic Exchange Service (DAAD) at Donetsk National University. His work bridges interdisciplinary studies, including transnational literature and digital humanities, exemplified by his database Kasseler Liste documenting banned books. His research trends emphasize cultural memory, censorship across eras, and Germanophone literatures in Eastern Europe. Publications include monographs on Nikolaus Lenau and the cultural divide between Germany and Russia, alongside edited volumes on censorship and Eastern European studies. Media engagements highlight his expertise in Ukraine-Russia relations and the global impact of censorship. Teaching focuses on German cinema, cultural contrasts in Eastern Europe, and interdisciplinary themes like religion and literature. He actively contributes to public discourse through media commentary on Ukraine, censorship, and historical contexts of geopolitical conflicts.

Michelle TorresView profile

Assistant Professor

• Political Methodology
• Political Behavior
• Computer Vision
• +5 more

Margaret Michelle Torres is an Assistant Professor in the Department of Political Science at the University of California, Los Angeles (UCLA). Her research focuses on political methodology, computer vision, causal inference, and survey methodology, with substantive interests in political media communication, participation, and attitude formation. She holds a Ph.D. in Political Science and an A.M. in Statistics from Washington University in St. Louis, alongside a B.A. in Political Science and International Relations from CIDE (Mexico City). Her work bridges computational methods and social science inquiry, emphasizing innovative tools for analyzing visual and textual data. Recent projects explore how ideology influences perceptions of political groups, the role of visual frames in protests, and methodological issues in causal inference. Torres has authored influential papers on topics ranging from election dynamics to the application of machine learning in political analysis. Notable contributions include frameworks for unsupervised visual analysis and critiques of posttreatment variable pitfalls in experiments. Her research frequently intersects with questions of media representation, public opinion, and institutional trust. Torres advises students in quantitative methods and political behavior, though specific advisee names are not listed here.

• Human-Computer Interaction
• Design Research
• Posthuman Studies
• +3 more

Heidi Biggs is an Assistant Professor in the School of Literature, Media, and Communication at the Ivan Allen College of Liberal Arts, Georgia Institute of Technology. Her work bridges posthuman theory with design practices, focusing on narrative forms of knowledge, queer entanglements with land histories, and sustainability through interdisciplinary mapping. She teaches courses like 'Principles of Interaction Design' and 'The Computer Expressive,' emphasizing creative and critical approaches to technology and society. Her research explores intersections of HCI, environmental design, and critical theory, with notable projects on AI ethics, rural queer communities on TikTok, and the legacy of redlining in sustainability. She employs methods like multispecies ethnography and speculative design to challenge normative technological and ecological frameworks. Biggs' recent work includes analyzing hallucinations in NLP systems and developing embodied data mapping techniques that intertwine bodily, environmental, and digital data. Though no awards are explicitly listed, her contributions to critical design and posthuman studies reflect impactful scholarly engagement. Her courses and research emphasize participatory futuring and collective healing, addressing systemic inequities in technology and environmental policy. While no advising or grants are detailed, her projects often involve collaborative, community-oriented approaches to design innovation.

Noura HowellView profile

Assistant Professor

• Ethical AI
• Emotion AI
• Design Futuring
• +4 more

Noura Howell is an Assistant Professor in the School of Literature, Media, and Communication at the Georgia Institute of Technology. Her work focuses on ethical AI, emotion AI, and design futuring, emphasizing inclusivity and critical reflection through artistic and technical explorations. She holds a PhD in Information & Management Systems from UC Berkeley and a BS in Engineering from Olin College. Research interests include biosensing technologies, queer/crip design methodologies, and the intersection of embodiment with emerging technologies. Notable projects include the Future Feelings Lab, which critiques emotion AI through participatory audits and fabulative design practices, and investigations into thermal feedback systems and Sufi spiritual practices mediated by technology. Awards include an NSF CAREER Award for reimagining emotion AI, a Google TensorFlow Faculty Award for educational outreach, and the Ralph E. Powe Junior Faculty Enhancement Award. Teaching spans computational media, interaction design, and design futuring courses. Her lab explores speculative design through projects like the Heart Sounds Bench (life-affirming biosensing) and Salaam, an inflatable sculpture addressing Islamophobia. She has collaborated on interdisciplinary STEAM education initiatives like PREMIER artist residencies.

Zsuzsa HorvathView profile

Associate Professor

• Dental Education
• Medical Education
• Healthcare Provider Training
• +7 more

Zsuzsa Horvath, PhD, is an Associate Professor in the Department of Dental Public Health and Director of the Office of Academic Career Advancement at the University of Pittsburgh School of Dental Medicine. She holds a PhD from the University of Pittsburgh (2009), specializing in education and teacher training. Her work focuses on curriculum development, faculty development, mentoring programs, and innovative educational initiatives. Dr. Horvath pioneered the Academic Career Track Area of Concentration (ACT ARCO) program, a two-year certificate program for pre-doctoral dental students aiming to become educators. This program, launched in 2016, has gained national and international recognition, including the William J. Gies Award for Outstanding Vision. She also co-founded a student peer-tutoring program and directed the NIH-funded Center of Excellence on Pain Education, creating online pain management modules for healthcare providers. In leadership roles, she oversees faculty development, mentoring programs, and clinical assessment initiatives. As a certified coach, she offers career and leadership coaching to faculty and students, integrating these into academic programs. Her research spans dental education, faculty development, and interdisciplinary training, with over 15 peer-reviewed publications. Her awards include the 2021 Chancellor’s Distinguished Teaching Award and the 2020 William J. Gies Award. She has led grants funded by NIH, ADEA, and other organizations, advancing educational innovation and healthcare provider training.

John WiensView profile

Professor

• Evolutionary Biology
• Ecology
• Phylogenetics
• +5 more

John J. Wiens is a Professor in the Department of Ecology and Evolutionary Biology at the University of Arizona since 2013. Previously, he held positions at Stony Brook University as an Assistant (2002–2006) and Associate Professor (2006–2012), and roles at the Carnegie Museum of Natural History as Curator (1995–2002). He earned a B.S. in Systematics and Ecology from the University of Kansas (1991) and a Ph.D. in Zoology from the University of Texas at Austin (1995). His work is distinguished by honors like the ISI Highly Cited Researcher award and editorial leadership roles at journals including Quarterly Review of Biology and Ecology Letters . Research Interests: Wiens’ lab focuses on three key areas: (1) integrative phylogenetic approaches to evolutionary and ecological questions, (2) phylogenetic theory and methods, and (3) reptile/amphibian evolution. Specific topics include species richness patterns, niche evolution, life-history traits, and climate change impacts. Methodologies combine genetic, morphological, and environmental data with computational approaches. Awards: His recognition includes the President’s Award from the American Society of Naturalists (2011) and the BIOS Distinguished Lecturer (2009). He has served on editorial boards for major journals and contributed to policy through biodiversity research. Grants and Advising: Wiens has advised numerous students (not listed here) and secured funding for projects on phylogenomics, climate change, and biodiversity. His lab collaborates globally, emphasizing open-access data sharing through tools like SuperCRUNCH. Labs/Teams: His research group integrates fieldwork and computational biology, focusing on amphibians, reptiles, and broader evolutionary patterns. Collaborations emphasize large-scale datasets and phylogenetic synthesis.

Vien CheungView profile

Associate Professor

• Colour and Philosophical Studies
• Imaging and Vision Science
• Textile and Materials Science
• +4 more

Dr Vien Cheung is an Associate Professor at the University of Leeds' School of Design, part of the Faculty of Arts, Humanities and Cultures. Her research focuses on colour science, imaging, and textile technology, with specializations in areas like colour in EDI, cultural heritage, and material design. She holds a Gold Medal (2023) from the Society of Dyers and Colourists (SDC) for contributions to colour research and education. Dr Cheung’s expertise includes Colour and Philosophical Studies, Imaging and Vision Science, and Textile/Materials Science. She has explored topics such as colour perception, textile manufacturing innovation, and the cultural significance of colours in historical art. Her work bridges art, science, and technology, addressing both theoretical and applied challenges. Education: BSc (Hon) Textile Chemistry, MSc Colour Imaging, PhD in Colour and Imaging Science. Professional Memberships: International Colour Association (AIC), Society of Dyers and Colourists (SDC), and others. Her research outputs span colour harmony, digital anthropometry in textiles, and instructional design for language learning. She advocates for inclusive design practices and has contributed to the University of Leeds’ World Changemakers series on impactful research. Awards: SDC Gold Medal (2023), Fellowship of the SDC (FSDC), and Chartered Colourist (CCol) certification.

Caroline RobertsonView profile

Associate Professor

• Neuroscience
• Perception
• Memory
• +4 more

Dr. Caroline Robertson is an Associate Professor in the Department of Psychological and Brain Sciences at Dartmouth College. She holds a B.A. from Columbia University, a Ph.D. from the University of Cambridge, and completed postdoctoral training at the Harvard Society of Fellows and MIT. Her lab investigates the interplay of perception, memory, and neurodiversity, particularly in autism. Using advanced techniques like virtual reality (VR), eye-tracking, fMRI, and MR spectroscopy, her research explores how sensory input interacts with cognitive processes in diverse populations. Key research areas include: Constructive nature of visual perception Neural mechanisms of scene perception and spatial memory Neurobiological underpinnings of autism spectrum conditions Role of GABAergic systems in perceptual awareness Her lab emphasizes inclusivity, actively involving neurodiverse individuals in research design. They operate a state-of-the-art VR suite for studying naturalistic environments and collaborate on projects like the Dartmouth Autism Research Initiative. Recent work focuses on retinotopic coding in memory-perception interactions and the impact of perceptual load on social attention in autism. Her team's research has been published in Nature Neuroscience , PNAS , and Current Biology , with a focus on translational insights into neurodivergent experiences.