Else Lytken is a Professor and Head of the Department of Physics at Lund University, part of the Faculty of Science. She is also a Senior Lecturer and Project Manager for the Particle and Nuclear Physics group. Her research focuses on testing the Standard Model and searching for new physics beyond it using leptons, particularly through collaborations with the ATLAS experiment at CERN and the upcoming νESS experiment at ESS (European Spallation Source). Her work includes high-energy physics studies at the LHC (e.g., Higgs boson properties, top quark physics, dark matter searches) and high-intensity experiments exploring neutrino properties and coherent elastic neutrino-nucleus scattering. She has contributed to over 1,175 publications, with recent work emphasizing precision measurements in pp collisions and advanced analysis techniques for ATLAS data. Notable projects include: ATLAS Run-2 results on Higgs boson decays, top quark production, and dark matter mediator searches Planning for νESS to study neutrino-nucleus interactions Development of jet substructure algorithms and detector calibration methods Her research combines experimental particle physics with cutting-edge computational tools, contributing to both LHC physics and future neutrino experiments.
Ana Montesinos García is a Professor at the Universitat de València's Faculty of Law, specializing in Administrative Law. Her research focuses on procedural law, gender violence, and the intersection of artificial intelligence with legal systems. She is affiliated with the CEMUVIG Center for Multidisciplinary Studies in Gender Violence and the MedArb research group. Education : PhD from Universitat de València (2006), thesis on Online Arbitration. Research Interests : Cover AI ethics in justice, predictive algorithms, arbitration mechanisms, gender violence, and consumer rights. Her work addresses procedural fairness, algorithmic bias, and digital legal technologies. Publications : Recent articles examine AI applications in judicial processes, gender violence risk assessment algorithms, and multidisciplinary approaches to algorithmic justice. Contact : ana.montesinos@uv.es
Prof. Liran Carmel is a Professor of Genetics at the Hebrew University of Jerusalem's Alexander Silberman Institute of Life Sciences (Faculty of Science). His lab focuses on ancient DNA analysis to study human evolution, paleo-epigenetics, and molecular evolution. Recent work includes reconstructing Denisovan anatomy through epigenetic maps and analyzing Bronze Age population dynamics in the Southern Levant. Research Interests: Decoding genetic and epigenetic changes driving human evolution Reconstructing ancient DNA methylation patterns Studying RNA biology mechanisms like splicing and nonsense-mediated decay Developing computational tools for paleogenomics (e.g., RoAM, Gene ORGANizer) Key Achievements: Identified Denisovan morphological traits through epigenomic analysis Discovered Neolithic-era metabolic adaptations via ancient methylation studies Received the 2021 Massry Prize and 2020 Science Breakthrough award Lab Activities: Current members: 4 PhD students, 1 MSc student, lab managers, and programmers Alumni include 19 researchers now in academia and industry roles worldwide Hosts annual retreats and collaborates internationally on projects like the Punic genome study
Francis Lee is an Associate Professor at Södertörn University's Department of Natural Sciences, Environment and Technology, and holds a joint appointment at Chalmers University of Technology in both the Division of Media Technology and Division for Science, Technology, and Society. PhD in Technology and Social Change (Linköping University, 2010) Docent qualification (2016) Previously affiliated with Uppsala University and Linköping University His research, grounded in Science and Technology Studies (STS), examines: Algorithmic power dynamics in knowledge production Digital transformation of biomedical research Classification and valuation practices in epidemic surveillance Sociotechnical infrastructures shaping societal understanding Recent publications analyze: Ontological overflows in STS methodology (2022) Value disjunctures in fetal research history (2022) Classification egress strategies in congenital malformation tracking (2022) Scientific leadership: Management team member, Wallenberg AI program (WASP-HS) Board member, European Association for STS (EASST) since 2025 Founding member, Algorithm Studies Network His teaching emphasizes embodied learning through methods like: Algorithm Walks Epistemic Black Box analysis Interactive critical thinking frameworks
Laura Pajula is a doctoral researcher at the Centre of Excellence in Research on Ageing and Care, affiliated with the Faculty of Humanities and Social Sciences at the University of Jyväskylä. She actively contributes to the DigiIn-project (Towards Socially Inclusive Digital Society: Transforming Service Culture), funded by the Strategic Research Council. Her work focuses on the intersection of digital public services and older adults' inclusion in society. Doctoral Researcher, Centre of Excellence in Research on Ageing and Care Project Member, DigiIn-project Part-Time Teacher (past role) Doctoral Student, University of Jyväskylä Laura’s research explores the design of digital public services for and with older adults, emphasizing mental access, peer support, and non-formal learning. She investigates how societal digitalization impacts elderly populations and identifies strategies to bridge digital divides through collaborative design and stakeholder engagement. Her publications highlight challenges in digital inclusion, including ambivalent user experiences, the role of warm experts, and systemic gaps in user involvement practices. Articles span topics from societal digital policy to practical implementations of digital support systems. Ella and Georg Ehrnrooth Foundation Grant (2025)
Dr. Shane Pike is a Senior Lecturer in Drama at the School of Creative Arts, Queensland University of Technology. His research bridges creativity and technology, with applications in health, commercial, and performance contexts. He serves as Chief Investigator on the $280,000 ARC Linkage project 'Advancing Digital Innovation in The Australian Live Performance Sector' and collaborates with cultural institutions like Sydney Theatre Company and Meta. Education PhD in Performing Arts (Directing) - Western Australian Academy of Performing Arts Graduate Diploma in Legal Practice - Australian National University LLB - Australian National University BA (Drama Hons. First Class) - Australian National University BCA (Theatre) - University of Tasmania Research Focus Dr. Pike's work centers on emerging technologies in creative practice: Augmented/Virtual Reality applications in live performance AI-enhanced creative processes with commercial/clinical applications Digital dramaturgy and creative leadership frameworks Theatre-based therapeutic interventions for health contexts His research has secured over $400,000 in competitive funding including ARC, IHBI, and Arts Queensland grants. Publication Trends Recent publications (2020-2026) demonstrate strong focus on: Digital performance innovations (AR/VR/AI integration) Pandemic-era creative adaptations (Zoom-based pedagogy/performance) Cultural diversity in Australian dramaturgy Interdisciplinary approaches combining arts, technology and health Awards & Recognition Dr Don Batchelor Award for innovation in live performance (twice) Edith Cowan University Research Excellence Award Senior Fellow of Higher Education Academy IHBI Synergy Project Grant ($22,500) Queensland Arts Showcase Program Grant Supervision & Grants Current supervision includes MPhil and PhD projects on nonverbal communication in actor training and Australian female bushrangers storytelling. Major grants include: ARC Linkage: $280,000 for digital innovation in live performance Creative Sparks Grant: $10,000 for 'Alex' holographic production Meta/Queensland Health collaborations: $100k+ for VR healthcare projects Labs & Collaborations As Design Lab investigator, Dr. Pike develops immersive experiences with Queensland Corrective Services and aged care facilities. He maintains ongoing collaboration with Brazil's Taanteatro Companhia, employing their Theatre of Tensions methodology in practice and teaching.
Aaron Braver is an Associate Professor and Director of Linguistics at the Department of English, Texas Tech University. He investigates phonetics, phonology, and their interface through both theoretical and experimental approaches, with a focus on South African Bantu languages like Xhosa. Ph.D. in Linguistics, Rutgers University (2013) B.A. in Linguistics and Linguistic Anthropology, Brandeis University His research spans three interconnected projects: Bantu (morph)phonology: Examining phonotactic generalizations in noun class morphology, uncommon sounds (e.g., Xhosa’s velar ejective affricate), and incomplete neutralization phenomena. Incomplete Neutralization: Modeling phonetic-phonological interactions in cases where contrasts persist despite phonological identity. Gesture in Language Learning: Interdisciplinary studies on whether gesturing avatars enhance computer-based L2 pronunciation learning, collaborating with psychology and computer science researchers. Recent publications highlight trends in phonetic constraint modeling (2023, 2019), Bantu morphophonology (2020, 2016), and gesture-based pedagogy (2020, 2019). He leads the Phonetics and Phonology Linguistics Lab (PPLL) at TTU.
Anke Tallig is a Researcher at Chemnitz University of Technology's Faculty of Computer Science, where she has maintained continuous affiliation since 2012. Her work bridges robotics, human-computer interaction, and virtual environments with a focus on developing systems for social interaction between humans and robots through non-verbal communication and sensor technologies. Her academic foundation includes a Bachelor of Engineering in Media, Communication and Automation Systems (2007-2010) and a Master of Engineering in Computer Science and Communication Systems (2010-2012), both from Hochschule Merseburg. She received the Best Master Thesis Award in 2012 for her work on CAVE projection environments and Cyberglove interfaces. She completed her doctorate within the DFG-funded Research Training Group 'CrossWorlds' (2012-2018), supervised by Prof. Wolfram Hardt and Prof. Maximilian Eibl, with research on robotic mediators for human-robot contact. Tallig's research centers on creating seamless connections between virtual and real social worlds through socially interactive robots. Her expertise spans perception systems, augmented/mixed reality interfaces, and sensor-driven human-machine control mechanisms. She investigates how robots can interpret non-verbal cues to facilitate natural interaction, with applications in edutainment, empathic systems, and gender-specific user experiences. Her interdisciplinary approach combines computer engineering with social science perspectives to overcome constraints in media-mediated communication. Her publication record from 2012-2014 reveals a cohesive research trajectory advancing from foundational mediator systems to sophisticated mixed reality applications. The work demonstrates consistent innovation in social robotics, with increasing complexity in emotional recognition and public interaction scenarios, while maintaining focus on practical implementations through the CrossWorlds framework. Her recognition includes: Award for Best Master Thesis 2012 from Freundeskreis der Fachhochschule Merseburg e.V. Tallig was integral to the DFG Research Training Group 'CrossWorlds' (2012-2018), contributing to interdisciplinary networks examining communication, emotions, sensomotorics, and learning across virtual-real boundaries. While not listed as a primary advisor for students in available records, her collaborative work involved multiple projects including SOLVE (gender-specific problem solving), HERMES, and CAVE environment development. Her research was supported through the CrossWorlds doctoral program with funding from the German Research Foundation. Her primary research environment operates within the CrossWorlds ecosystem at TU Chemnitz, where she collaborates with computer scientists and social scientists to develop next-generation interaction paradigms. Current work appears focused on extending mediator systems for broader social applications while refining perception algorithms for more nuanced human-robot communication.
Dr. Aditya Devarakonda is an Assistant Professor in the Department of Computer Science at Wake Forest University, where he teaches courses in algorithms, data structures, and parallel numerical optimization. Prior to joining Wake Forest, he was an Assistant Research Scientist in the Department of Physics and Astronomy at Johns Hopkins University. His educational background includes: Ph.D. in Computer Science from the University of California, Berkeley (2018) B.S. in Electrical & Computer Engineering from Rutgers University, New Brunswick (2012) Dr. Devarakonda's research focuses on high performance computing and machine learning , with particular emphasis on communication-avoiding algorithms for parallel systems. His work spans several key areas: Redesigning machine learning algorithms to reduce communication bottlenecks in distributed systems Developing communication-avoiding variants of optimization methods like block coordinate descent Exploring novel training techniques for deep learning models that improve performance on multi-GPU systems Implementing matrix factorization techniques that scale efficiently across distributed architectures His publication record shows a consistent focus on communication efficiency in parallel computing, with numerous papers on avoiding communication in various optimization methods. His research has evolved from foundational work on communication-avoiding Krylov methods to applications in machine learning and deep learning. Recent publications indicate expanding interests in graph neural networks and distributed Shapley values. Dr. Devarakonda has received notable recognition for his work: NSF Graduate Research Fellowship EECS Department Fellowship While specific advising information isn't detailed in the available materials, Dr. Devarakonda teaches graduate courses including CSC 721 (Theory of Algorithms) and CSC 790 (Parallel Numerical Optimization), suggesting he likely mentors graduate students in high performance computing and machine learning. His research appears to be supported by grants related to high-performance computing and machine learning optimization. His work leverages parallel computing infrastructure, including Cray supercomputers and NVIDIA GPU clusters, to develop and test communication-avoiding algorithms. His research group likely focuses on implementing and benchmarking these algorithms across various distributed computing platforms.
Professor Anne O'Keeffe is a distinguished academic specializing in Applied Linguistics at Mary Immaculate College, University of Limerick. As Director of the Inter-Varietal Applied Corpus Studies (IVACS) Research Centre, she leads projects analyzing online workplace discourse through multimodal corpus methods. Her work bridges corpus linguistics with second language acquisition, focusing on pattern recognition and data-driven learning. Current affiliation: University of Limerick Director: IVACS Research Centre PhD supervision: 14 current students Research interests span Corpus Linguistics , Pragmatics , and Discourse Analysis , with particular focus on Learner Corpora and Media Discourse . She pioneered the Limerick Corpus of Irish English and explores digital communication patterns post-COVID-19. Recent publications examine virtual workplace discourse (2024), data-driven learning design (2023), and pos tag sequences in L2 acquisition (2024). These works demonstrate intersections between usage-based theory and pedagogical innovation . Scientific recognition includes the Government of Ireland International Scholarship (2015). Her supervision extends to PhD candidates analyzing learner grammar , corpus applications , and virtual communication patterns .
Naja Holten Møller, an Associate Professor in the Promotion Programme at the Department of Computer Science, University of Copenhagen, specializes in Human-Centred Computing . Her research focuses on Computer-Supported Cooperative Work (CSCW) , exploring ethics in data-driven technologies, algorithmic decision-making, and the digitalization of public sectors. She investigates how adaptive technologies transform work processes and emphasizes balancing human values with automation through long-term collaborations with public organizations. Research Areas: Ethics in Data Work Algorithmic Accountability Public Sector Digitalization Future Workplace Optimization Scientific Awards: Member of ACM's Future of Computing (2017) Collaborations: Public Sector Organizations Refugee Law Institutions Healthcare Systems Her recent publications highlight trends in asylum data governance , AI labor pipelines , and participatory design in public systems, reflecting her focus on technological ethics and stakeholder inclusion.
Scott Huettel is a Professor in the Department of Psychology and Neuroscience at Duke University, holding concurrent roles as Senior Associate Dean for Research in Trinity College of Arts & Sciences and Bass Fellow. He also serves as Professor of Neurobiology and Psychiatry and Behavioral Sciences, and holds affiliations with multiple interdisciplinary centers including the Center for Cognitive Neuroscience and Duke Institute for Brain Sciences. His research focuses on decision neuroscience, investigating brain mechanisms underlying economic and social decisions using fMRI, behavioral assays, and computational methods. He has authored influential textbooks like Functional Magnetic Resonance Imaging and pioneered applications of fMRI analysis techniques such as functional connectivity and pattern classification. Education: Ph.D. in Psychology from Duke University (1999). Research Interests : Decision neuroscience, neuroeconomics, social decision making, and the neural basis of individual differences in behavior. His work bridges cognitive neuroscience with computational models to explore how brain systems mediate complex choices, particularly in contexts involving risk, ambiguity, and social dynamics. Grants & Leadership : Leads major grants including the NIH-funded Neurobiology Training Program and Duke’s Psychiatry Physician-Scientist Residency Program. Past roles include Chair of Psychology and Neuroscience and Interim Co-Director of the Duke Institute for Brain Sciences. Active in educational innovation through Bass Connections and courses like Decision Neuroscience. Labs & Teams : Core faculty in the Center for Brain Imaging and Analysis, contributing to advanced neuroimaging methodologies. Collaborates across disciplines to address translational challenges in health behavior, consumer decision-making, and aging.
Antony M. Jose is a Professor in the Department of Cell Biology and Molecular Genetics at the University of Maryland, College Park. He leads the Jose Lab, which focuses on understanding regulatory mechanisms in living systems, particularly through RNA-mediated gene regulation in Caenorhabditis elegans . His research explores the origins and limits of regulatory architectures, combining conceptual modeling with experimental approaches. Jose holds a Ph.D. from Yale University (2005) and completed postdoctoral training at Harvard University (2011). He has received prestigious awards, including the 2019 Graduate Faculty Mentor of the Year and the 2016 National Academy of Sciences Kavli Fellow. His work spans molecular to population-level regulation, with recent studies addressing intergenerational RNA transport, heritable epigenetic changes, and RNA interference mechanisms. The lab has been continuously funded by NIH (NIGMS) and NSF, enabling interdisciplinary projects that integrate computational modeling and experimental biology. Jose teaches graduate courses in quantitative modeling and systems biology, and his lab collaborates on projects such as drug toxicity studies and transgenerational inheritance mechanisms. Ongoing research emphasizes systems-level understanding of regulatory dynamics and their evolutionary implications.
Myrto Mavilidi is a Senior Fellow at the School of Education, University of Wollongong, Australia, specializing in educational psychology and physical activity interventions. She holds a PhD from the University of Wollongong, an MSc from Erasmus University Rotterdam, and a BSc from Panteion University. Her research focuses on designing school-based physical activity interventions to enhance cognitive, academic, and psychosocial outcomes in children and adolescents. Key areas include integrating physical activity into curricula without compromising academic performance, teacher training for active learning, and leveraging embodied cognition principles. Recent work explores digital footprint management and co-designed educational tools. Notable contributions include meta-analyses on physical activity’s effects on executive functions and systematic reviews on correlates of childhood physical activity. She has secured grants such as the ARC DECRA and led projects like 'MoveEarly' to promote physical activity in early education. Awards include the Vice Chancellor Postdoctoral Research Fellowship and the Dame Bridget Ogilvie Citation Award. She supervises PhD candidates on topics like Moroccan school physical activity patterns and self-regulation in learning environments. Teaching roles include courses on educational psychology and research methodology at University of Newcastle and University of Wollongong. She is active on editorial boards and peer-review panels for journals like Contemporary Educational Psychology and Frontiers in Psychology .
Ali Zain is an Assistant Professor in Strategic Communication at Arizona State University's Walter Cronkite School of Journalism and Mass Communication. His research focuses on strategic message features influencing public perception in health, science, and societal disparity contexts, employing quantitative, computational, and psychophysiological methods. Education: PhD in Mass Communications, University of South Carolina (2024) MA in Communication Sciences, Hacettepe University (2020) BS in Communication Studies, University of the Punjab (2015) Research Interests: Health and Science Communication Misinformation Dynamics AI/Machine Learning Applications Biometric Research Methods (EEG, eye-tracking) Social Media Analytics Awards & Grants: 2023 Breakthrough Graduate Scholar Award 2024 CIC Internal Grant ($4,000) 2022 AEJMC Top Student Paper Award Multiple travel grants from ICA/AEJMC Teaching: Courses include Public Relations Research, Media Research Methods, and Search Engine Research Strategies Instructor of Record since 2020 at University of South Carolina Professional Experience: Graduate Assistant/Instructor, University of South Carolina (2020-2024) Digital Media Strategist, Al-Khidmat Foundation (2016-2017) Content Editor, Daily Pakistan (2014-2016)
