Laura Meyers is a Clinical Professor in the College of Education & Human Development (CEHD) at Georgia State University, serving as Program Coordinator for the Master of Arts in Creative and Innovative Education (MACIE). She holds a Ph.D. in Curriculum and Instruction from Purdue University, an M.A. in Children’s Literature from Hollins University, and a B.S. in Elementary Education from Presbyterian College. Her work focuses on arts-infused instruction, social justice education, and cross-cultural learning. Dr. Meyers integrates dramatic and visual arts to address social justice issues like racism, gun violence, and mental health through collaborations with Atlanta-based artists. She created the Tiles for Social Justice curriculum and leads study abroad programs in China and Mexico. Notable accolades include the 2023 GSU Instructional Innovation Award and the 2020 George M. Sparks Award. Her teaching spans introductory courses (e.g., PERS 2001, ECE 3385) and innovative graduate courses like Art as Activism and (Re)centering Well-being. She actively contributes to academic and artistic communities through films, theatre productions, and international recognitions such as her Honorary Teacher title from Sichuan Normal University (2015).
Maria Antoniak is a Visiting Professor in Computer Science at the University of Colorado Boulder, with an upcoming tenure-track appointment as Assistant Professor starting Fall 2025. She holds affiliations with both the Department of Computer Science and the Department of Information Science. Her research bridges Natural Language Processing (NLP), cultural analytics, and healthcare, emphasizing interdisciplinary collaboration with humanities and clinical fields. Education: PhD in Information Science from Cornell University (advisor: David Mimno), MA in Computational Linguistics from the University of Washington, and BA in Liberal Studies from the University of Notre Dame. She completed postdoctoral work at the Pioneer Centre for AI (Copenhagen) and was a Young Investigator at the Allen Institute for AI. Research focuses on narrative analysis (e.g., birth stories, online healthcare communities), NLP tool reliability, and ethical AI applications. Her work includes developing tools like Riveter for power dynamics analysis and Little Mallet Wrapper for topic modeling. Current projects explore cultural contexts in LLMs and maternal healthcare narratives. Teaching includes courses on NLP for Cultural Analytics and guest lectures globally. She organizes initiatives like the AI for Humanists workshop series and maintains resources for computational humanities. Maria advocates for inclusive academia through initiatives like Grads for Gender Inclusion in Computing and Ukrainian academic support efforts. Her upcoming roles include faculty appointments at CU Boulder and active participation in global conferences (e.g., ACL, COLING). Research spans computational humanities, healthcare informatics, and AI ethics, with a focus on societal impact and methodological rigor.
Nicole M. Nielsen is an Assistant Professor in the Department of Pharmacy Practice at the School of Pharmacy and Health Professions, Creighton University. Her academic role focuses on advancing pharmacotherapy education and clinical practice, particularly in ambulatory care settings. She holds expertise in dermatology, diabetes management, and innovative educational methodologies such as team-based learning and virtual escape rooms. Nielsen holds a PharmD degree and is a Board Certified Ambulatory Care Pharmacist (BCACP), along with certifications in Advanced Pharmacy Practice (APh) and Medical Education in Health Professions (MEHP). Her research interests span dermatological pharmacotherapy, diabetes therapeutic strategies, and improving educational outcomes through active learning techniques. She has contributed to case-based learning resources in atopic dermatitis and explored the use of innovative teaching tools to enhance student engagement and proficiency. Diabetes Management: Presented on SGLT2 inhibitors in kidney disease and evolving diabetes treatments. Educational Innovations: Developed virtual escape rooms and paperless team-based learning frameworks. Awards: Faculty Advisor of the Year West Coast University Outstanding Student Organization Advisor Award California Health Science University Natural Standard Research Collaboration Award Advising & Grants: Advised student projects on mentorship programs and civic engagement in Fresno County. Her work emphasizes interprofessional collaboration and student professional development.
Pamela Beach is the Associate Dean, Research and Associate Professor of Language and Literacy at Queen’s University’s Faculty of Education. She holds an MA and PhD in Child Study/Developmental Psychology from the University of Toronto. With nearly a decade of elementary teaching experience, her research focuses on leveraging online and multimedia resources to enhance teacher education and professional development. Key projects include SSHRC-funded studies on teachers’ self-directed online learning, analysis of web analytics for literacy PD platforms, and cross-cultural studies of literacy practices in Montessori and Reggio Emilia schools. Her expertise spans early literacy development, critical literacy integration, and the use of technologies like eye-tracking and virtual classrooms in teacher training. She leads the Literacy Education Research Team, collaborating on projects such as integrating music into literacy education and evaluating virtual classroom tools for teacher candidates. Beach is also the author of Promoting Language and Early Literacy Development (2024), a practical guide for educators and caregivers. Current roles include supervising graduate students in the Language and Literacy program and overseeing research initiatives as Associate Dean. Her work bridges research, practice, and policy to improve literacy instruction and teacher learning in diverse educational contexts.
David Wanik is an Assistant Professor in the Department of Operations and Information Management and Associated Faculty in the Department of Civil and Environmental Engineering at the University of Connecticut. He serves as Academic Director for Business Data Analytics at the Stamford campus and conducts research in the Eversource Energy Center, focusing on data science, natural hazards, remote sensing, and IoT applications in utility systems. PhD, MS, and BS in Environmental Engineering from University of Connecticut His research bridges natural hazard prediction, power grid resilience, and environmental data science. Key themes include: Machine learning for power outage prediction Climate change impact on energy demand Remote sensing for population and environmental monitoring IoT-enabled infrastructure hardening Recent publications emphasize deep learning for nighttime light imagery analysis, hybrid physics-data-driven models for grid resilience, and climate-integrated demand forecasting. His work integrates satellite data, LiDAR, and utility infrastructure records for predictive analytics. Teaching includes courses in business analytics, Python-based data science, and deep learning for the MS Business Analytics and Project Management program.
Dr. Shahram Shirani is a Professor and holds the L.R. Wilson/Bell Canada Chair in Data Communications in the Department of Electrical & Computer Engineering at McMaster University. He also serves as Acting Chair of the department. His research focuses on multimedia communications, image/video processing, medical imaging, and hardware architectures. He teaches courses like Image Processing (COMPENG 4TN4) and 3D Image Processing and Computer Vision (ECE 736). Shirani earned his B.Sc. from Isfahan University of Technology (1989), M.Sc. from Amirkabir University of Technology (1994), and Ph.D. from the University of British Columbia (2000). His achievements include the Faculty of Engineering Leadership Fellowship (2014–15) and leadership roles in editorial boards for IEEE Transactions on Multimedia and Circuits and Systems for Video Technology. Research interests include video quality assessment, biomedical signal processing, and edge computing for traffic monitoring. His lab develops algorithms for multimedia representation, compression, and hardware implementation. Recent work includes AI-driven medical sound datasets, real-time noise removal in MRI, and efficient CNN pruning techniques. He advises over 15 graduate students and collaborates on projects like the HLS-CMDS dataset and cardiac segmentation reviews. His lab’s contributions span biomedical engineering, autonomous systems, and smart sensor technologies.
Miriam Lorente Rodriguez is a Professor in the Department of Comparative Education at the Faculty of Philosophy and Educational Sciences, University of Valencia, Spain. She is an active researcher in the GRECIA Comparative Education Research Group, focusing on global citizenship, educational rights, and policy in Latin America and Central America. Research Interests: Her work spans Comparative Education , Global Citizenship Education , Education as a Human Right , Teacher Induction , and SDG4 (Quality Education) . She critically examines educational policies, digital transformation in higher education, and teacher professional development, particularly in Latin American contexts. Her recent publications (2021–2025) reflect a strong trend toward analyzing UNESCO’s global citizenship agenda, the impact of digital tools during the pandemic, teacher coordination roles, and educational equity in Latin America. These works demonstrate a consistent focus on policy critique, comparative methodologies, and sustainable development in education. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While no formal list of advisees or grants is provided, she completed her PhD on children's rights and education in Central America under the supervision of Dr. Luis Miguel Lázaro Lorente. Her research suggests active involvement in academic mentoring and collaborative projects, particularly within the GRECIA group. Labs and Teams: She is a key member of the GRECIA Comparative Education Research Group , contributing to collective research on international and comparative educational policies, with a focus on Latin America and global frameworks.
Jillian Holt is a Senior Lecturer at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. She holds a PhD in Practice-led Research (2015), a Master of Design in Multimedia Design (2005), and brings over two decades of professional experience as a film editor across feature films, documentaries, and television. She has held leadership roles including Academic Leader and Course Director for the Bachelor of Film and Television (Honours), and has significantly contributed to the internationalization of Swinburne’s film programs through CILECT and ASPERA affiliations. Her research centers on the intersection of creative practice, phenomenology, and pedagogy in film editing. Key interests include intuition in editing, embodied cognition, rhythm, and the teaching of creativity in postproduction. She has developed influential educational resources such as The Art of Editing: Australian Screen Editors Discuss Creativity in Editing . The recent publications reflect a consistent focus on creative editing, documentary storytelling, and pedagogical innovation. Her works span academic articles, creative documentaries, and thesis-based practice research, highlighting a blend of scholarly and artistic contributions in screen and digital media. Scientific Awards: Vice-Chancellor's Teaching Award, Swinburne University of Technology (2007) Supervision and Grants: She is actively co-supervising multiple PhD candidates on topics involving cultural identity, Indigenous research, and community-based documentaries. She has secured competitive grants, including a 2022–2023 research contract with the Australian Vietnamese Women's Association for a documentary project celebrating multicultural communities. Professional Engagement: She has held leadership roles in the Australian Screen Editors Guild (ASE), and served on committees for ASPERA and CILECT, reinforcing her national and international impact in film education and practice.
Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.
Heather O'Brien is a Professor at the School of Information , University of British Columbia, specializing in user engagement with digital technologies , information retrieval , and knowledge exchange . Her work bridges human-computer interaction and health informatics through projects like the User Engagement Scale (UES) and the PolarUs app for bipolar disorder management. Education: MLIS and PhD from Dalhousie University Research: Focuses on engagement theory, digital health, and university-community knowledge exchange Her STOREE project (SSHRC-funded) develops frameworks for open scholarship and community-centered metadata practices. She co-developed the internationally adopted UES tool for measuring technology engagement, translated into French, German, Italian, and Portuguese . Scientific Awards: 2022 ASIS&T Research in Information Science Award 2018 ASIS&T SIG USE Best Paper Award Professor O'Brien mentors graduate students in information behavior and digital health while leading interdisciplinary collaborations with institutions like CREST.BD and BC Centre on Substance Use .
Sonia A. Fahmy is a Professor of Computer Science and Associate Department Head at Purdue University's Department of Computer Science (College of Science). She holds a PhD from The Ohio State University (1999). Her research focuses on network architectures, protocols, and security, with over 100 refereed publications. Key areas include virtual reality networking, cellular network optimization, and network experimentation tools like NFV-VITAL and ENVI. Her work is supported by NSF, DHS, industry partners, and she leads Purdue's CERIAS cybersecurity initiatives. Education: PhD in Computer and Information Science from The Ohio State University (1999). Research Interests: Network security, distributed systems, wireless sensor networks, and network function virtualization. Notable contributions include the HEED clustering algorithm and Contain-ed latency management system. Awards: NSF CAREER Award (2003), IEEE Fellow. Grants: NSF, DHS, AT&T, Cisco, Juniper, and Meta-funded projects. Professional service includes leadership roles in IEEE ICNP, INFOCOM, and editorial roles in top journals. Advising: Mentored over 20 PhD students and postdocs. Current advisees include Umakant Kulkarni and Yufeng Chen. Research teams collaborate with industry partners like Hewlett-Packard and Sandia National Labs. Labs/Teams: Active in Purdue's CERIAS, leading projects on secure network protocols and experimentation frameworks. Tools developed include EMIST, Testbed Mapping, and iHEED for sensor networks.
Professor Xue Li is a faculty member in the School of Electrical Engineering and Computer Science at the University of Queensland. His research focuses on machine learning, data mining, and their applications in healthcare, materials science, and computer vision. He has authored over 300 publications, including seminal works on knowledge graph completion, video quality enhancement, and alloy design using machine learning. His work bridges theoretical advancements with real-world applications, such as clinical diagnosis andTinyML systems. Key research interests include graph representation learning, medical informatics, and efficient algorithms for multimedia data. Notable contributions include developing commonsense-enhanced relation extraction models and frameworks for compressed video reconstruction. His research also addresses challenges in federated learning and privacy-preserving genomics. Prof. Li has collaborated extensively with industry and academia, contributing to projects in RFID systems, electronic nose pattern recognition, and cybersecurity. His work is published in top-tier venues like IEEE Transactions and ACM conferences. Despite no listed awards, his prolific output underscores academic impact.
Sophie Othman is a Lecturer at the University of Franche-Comté, affiliated with the Centre de Linguistique Appliquée (CLA) and the DEFLET department. She is actively engaged in research and teaching in language didactics, digital education, and innovative pedagogical practices. Her work spans multiple roles in research coordination, program leadership, and international academic collaboration. Research Interests: Her primary research areas include digital technology in language teaching and learning, design of online and distance learning environments, digital engineering in education, pedagogical innovation, comodal and hybrid training models, MOOCs, e-portfolios, and teacher training in ICT. She explores how digital tools transform language education, especially in multilingual and multicultural contexts. The recent scholarly output shows a consistent focus on post-pandemic educational transformation, AI integration in learning systems, and the design of flexible pedagogical scenarios. Her publications appear in journals such as ALSIC and in international conference proceedings, reflecting a strong engagement with digital pedagogy and language education innovation. Leadership and Service: Vice-President, Scientific and Pedagogical Commission, CLA – University of Franche-Comté (2021–present) Co-Responsible, TIPED Research Program, ELLIADD (2017–present) Scientific Coordinator, Innov'FLE Thematic Thursdays (2022–present) Former Coordinator, Master 2 FLE 'Political and Digital Environments' and FLE Track at CTU Besançon (2018–2020) Scientific Committee Member for international conferences (e.g., ADCUEFE, CEDIL, UBEST, EIAH) Expert reviewer for language didactics journals and collective works International trainer for the French Ministry and OIF in over 15 countries Projects and Grants: #ApproprIA: AI Appropriation in Education (2025–...) UNPEAA: Digital Use by Allophone Adults (2024–...) Innov'FLE: Innovation in FLE Teaching (2022–...) HUMANE: Digital Humanities for Education (2019–2022) ANR-IDEFI Innovalangues (2013–2016) Advising and Grants: While no formal students are listed, she has supervised research teams and mentored junior researchers through collaborative projects and editorial roles. She has secured national and international funding, notably through the ANR-IDEFI program, and contributes to large-scale educational initiatives supported by governmental and Francophone institutions. Labs and Teams: She is affiliated with the ELLIADD research laboratory (University of Franche-Comté) and was previously associated with LIDILEM (Université Grenoble Alpes). She leads and participates in interdisciplinary research groups focused on digital language education, teacher training, and innovation in didactics.
Luo Mai is an Assistant Professor at the University of Edinburgh's School of Informatics , with an upcoming promotion to Associate Professor (UK Reader) in August 2025. He leads the Large-Scale Machine Learning Systems Group and co-leads the UK EPSRC Centre for Doctoral Training in Machine Learning Systems and an ARIA Project on Scaling AI Compute by 1000X . PhD in Computer Science (Imperial College London, 2018) MRes in Advanced Computing (Imperial College London, 2012) His research focuses on the intersection of computer systems , machine learning , and data management . Key contributions include award-winning systems like WaferLLM (wafer-scale LLM inference), Tenplex (elastic ML), and ServerlessLLM (serverless LLM serving), published at top venues (OSDI, SOSP, ICML, NeurIPS, JMLR). Recent publications demonstrate trends in GPU-based distributed systems , LLM optimization , and adaptive machine learning . His team has developed groundbreaking open-source projects including TensorLayer , TorchOpt , and ServerlessLLM . Awarded Microsoft Research StarTrack Scholar (2024) , secured ARIA grant (2024) with Imperial College & Cambridge University, and received Google Fellowship during PhD (2012-2016). As an educator, he designed Edinburgh's popular Machine Learning Systems course (150+ students). His group supervises multiple PhD students including Yao Fu (recognized as 2024 Rising Star in ML & Systems) and Leyang Xue .
Daniel Vallero is an Adjunct Professor in the Department of Civil and Environmental Engineering at Duke University . He holds a Ph.D. from Duke (2000) , an M.S. from the University of Kansas (1996) , and a B.A. from Southern Illinois University (1974) . His career spans environmental engineering, exposure assessment, and climate change adaptation, with affiliations including North Carolina Central University (2012-2013) as Associate Professor. Education B.A., Southern Illinois University, 1974 M.S., University of Kansas, 1996 Ph.D., Duke University, 2000 Key Research Areas Environmental systems science Air pollution modeling and control Hazardous waste bioremediation Climate change governance Exposure-based chemical prioritization Biogeochemical cycling under climate stress Publication Trends Focus on PFAS exposure pathways , climate adaptation strategies , and pollutant fate in ecosystems Recent work includes high-throughput exposure models and environmental justice in global warming Scientific Awards Federal Honor Awards (2025) from the U.S. EPA Jeffrey B. Taub Award (1999) at Duke University Notable Contributions Authored Air Pollution Calculations and Environmental Systems Science Developed exposure prioritization tools like Ex Priori Post-9/11 environmental contamination studies in New York City
