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John WrightView profile

Assistant Professor

University of California, BerkeleyUnited States

John Wright is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research centers on theoretical computer science with a focus on quantum computing, specifically quantum state learning, quantum complexity theory, property testing, and approximation algorithms. He is affiliated with the Simons Institute for the Theory of Computing. Education includes a Ph.D. in Computer Science from Carnegie Mellon University (2016), advised by Ryan O'Donnell, and a B.Sc. in Computer Science from the University of Texas at Austin. Research interests span quantum complexity, interactive proofs (e.g., MIP* = RE), quantum algorithms, and foundational aspects of quantum computation. His work bridges computer science, physics, and mathematics, with emphasis on understanding computational limits through quantum paradigms. Publications primarily explore quantum complexity, algorithms, and verification, with recent trends including quantum cryptography, tomography, and hardness proofs. Articles frequently involve collaborations with researchers like Thomas Vidick, Henry Yuen, and Ryan O'Donnell. Awards include the IEEE CS TCPAMI Young Researcher Award (2015). Teaching covers graduate and undergraduate courses such as CS 170 (Efficient Algorithms and Intractable Problems) and CS 294 (Quantum Complexity Theory). He advises students in quantum computing research and collaborates extensively across institutions. Labs/teams include the Quantum Computing group at UC Berkeley, with ties to the Simons Institute. Research support is managed by Amy Frithsen.

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Emily BrayshawView profile

Research Fellow

University of South AustraliaAustralia

Dr Emily Brayshaw is an Honorary Research Fellow and Casual Academic at the University of Technology Sydney's Faculty of Design, Architecture and Building. She combines scholarly work in critical costume studies with theatrical costume design and viola performance . Holding a 2016 PhD in Design from UTS and a BA (Hons) from the University of New South Wales, her research spans fashion history, performance costume, and material culture. Current Appointments: Honorary Research Fellow (2019-2026), Casual Academic in Design/Fashion History Research Themes: WWI dress, kitsch aesthetics, sustainability in costume, shoe studies, and body-garment dynamics Her interdisciplinary work connects fashion theory with theatre practice, examining costume's psychological and ethical dimensions. Publications since 2014 explore topics ranging from vaudeville's racialized costumes to contemporary footwear trends . She actively contributes to public discourse through The Conversation and maintains memberships in the Footwear Research Network and Association of Dress Historians . Recent scholarship reveals trends in 20th-century costume methodology , WWI fashion dynamics , and shoe symbolism across media. Articles like 'Dressing for the Viola' (2023) and 'From Caftan King to Peacock Pasha' (2024) demonstrate her focus on gendered performance wear and orientalist fashion . Her 2021 Journal of Aesthetics & Culture translation of Schlemmer's kitsch manuscript bridges historical avant-garde theory with modern practice. As a public intellectual, Emily has completed over 100 media interviews since 2020, covering topics like Crocs' cultural resurgence and vaudeville's legacy . Her teaching encompasses fashion theory, critical thinking, and costume history, while she simultaneously serves as principal viola for the Woollahra Philharmonic Orchestra.

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Naoki SaitoView profile

Professor

University of California, DavisUnited States

Naoki Saito is a Professor in the Department of Mathematics at the University of California, Davis, and the Director of the UC Davis TETRAPODS Institute of Data Science (UCD4IDS). His research lies at the intersection of applied mathematics, signal processing, and data science, with a focus on multiscale analysis and harmonic analysis on graphs and networks. His research interests include Applied and Computational Harmonic Analysis , Graph Signal Processing , Multiscale Transforms , Wavelets , Spectral Graph Theory , and Mathematical Data Representation . He develops theoretical frameworks and practical algorithms for analyzing complex datasets, particularly through the use of Laplacian eigenfunctions and multiscale basis dictionaries. The recent publications reflect a strong trend toward graph-based signal processing , scattering transforms , and topological data analysis . His work emphasizes the construction of natural, adaptive bases for signals on graphs and simplicial complexes, enabling efficient and interpretable data analysis. The integration of harmonic analysis with machine learning techniques is a recurring theme. Although no specific scientific awards are listed in the provided texts, his sustained scholarly output and leadership in the field are evident. Dr. Saito advises a number of students and postdoctoral researchers, including J. Irion, Y. Shao, H. Li, and others. His research has been supported by various grants, though specific funding sources are not detailed in the provided materials. He leads the UCD4IDS, a research institute focused on data science, indicating active involvement in collaborative, interdisciplinary research and academic leadership.

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Mateo Valero CortésView profile

Professor

Polytechnic University of CataloniaSpain

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

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Psyche LouiView profile

Associate Professor

Northeastern UniversityUnited States

Psyche Loui is an Associate Professor of Creativity and Creative Practice in the Department of Music at Northeastern University, leading the Music, Imaging, and Neural Dynamics (MIND) Lab. She holds a PhD in Psychology from UC Berkeley and dual bachelor’s degrees in Psychology and Music from Duke University. Her research focuses on the neuroscience of music perception, including how music influences attention, emotion, and neurological conditions like ADHD. Her work has been supported by major grants from the NSF and NIH, and she has received awards such as the Templeton Positive Neuroscience Award and a NSF CAREER Award. Education : PhD in Psychology (Cognition, Brain, and Behavior), University of California, Berkeley Bachelor’s in Psychology and Music, Duke University Research & Grants : Loui’s research explores how neural mechanisms underpin music perception and cognition, with recent studies investigating the efficacy of algorithmically generated music for improving focus in ADHD. Her grants include NIH funding for projects like ‘Gamma-Music-Based Intervention for Alzheimer’s’ ($2.7M) and NSF support for ‘Reward Prediction in Creative Perception.’ Awards : National Science Foundation CAREER Award (2020) Templeton Positive Neuroscience Award (2010) Multiple Grammy Awards (text reference) Labs & Teams : Loui directs the MIND Lab, which uses neuroimaging and electrophysiology to study music-brain interactions. Collaborations include work with Brain.fm on attention-focused music interventions and global studies on cross-cultural music patterns. Teaching : Courses include Music Cognition , Acoustics and Psychoacoustics , and Creative Cognition , bridging theory with practical applications in neuroscience and education.

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Seyed Hadi MirvahediView profile

Assistant Professor

University of GroningenNetherlands

Seyed Hadi Mirvahedi is an Assistant Professor in the Faculty of Arts at the University of Groningen, specializing in Critical Sociolinguistics and Language Policy. He holds a PhD in Applied Linguistics from Victoria University of Wellington (2014), followed by postdoctoral research at Nanyang Technological University (2017–2019) and the University of Oslo (2020–2023). His research focuses on multilingualism in globalized contexts, exploring family language policies, sociolinguistic ideologies, and the intersection of language with race, policy, and identity. Notable projects include studies on Afghan refugee families in Norway, Malay families in Singapore, and transnational families in Italy/China and India/Iran. Teaching includes undergraduate and graduate courses in sociolinguistics, multilingualism, and language policy within the Minorities & Multilingualism program. He supervises BA/MA theses on topics like language maintenance, education, and policy implementation. Publications span peer-reviewed journals (e.g., International Journal of Bilingualism , Language Policy ) and edited volumes, addressing themes such as demographic agency in family language policy, raciolinguistics in refugee contexts, and transnational language practices. His work integrates ethnographic methods with sociological theory to analyze multilingualism at micro- and macro-scales. Current research emphasizes phenomenological approaches to race and language in refugee families, as well as the role of demographic factors in family language decision-making. He advocates for interdisciplinary frameworks to understand language policies' real-world impacts in diverse settings.

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Jop BriëtView profile

Researcher

National Research Institute for Mathematics and Computer ScienceNetherlands

Jop Briët is a Researcher at the Department of Algorithms and Complexity at Centrum Wiskunde & Informatica (CWI) in the Netherlands. His work focuses on theoretical computer science, quantum information theory, combinatorics, and tensor analysis. He has held grants including the Veni Innovational Research Grant from NWO and a Rubicon fellowship. He has authored over 50 publications in leading venues, exploring topics such as Grothendieck inequalities, quantum computing, and additive combinatorics. His research interests span the interplay between combinatorics and computational complexity, with particular emphasis on tensor analysis, probabilistic methods, and algorithm design. Recent work includes studies on Szemerédi’s theorem with random differences and the application of quantum query algorithms to entanglement-based problems. Awards: Outstanding paper award TQC (2020), Andreas Bonn medal (2013), Stieltjesprijs (2011). Professional Activities: Editor for ERCIM News, Board Member of Koninklijk Wiskundig Genootschap, and frequent invited speaker at workshops on quantum computing and combinatorics. Grants: Veni Grant (2014), Rubicon Fellowship (2012). Current teaching includes courses on Additive Combinatorics and Quantum Information Processing, reflecting his commitment to bridging foundational theory with advanced applications in computing and mathematics.

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Catherine F. EubanksView profile

Professor

Adelphi UniversityUnited States

Catherine F. Eubanks is a Professor in the Department of Psychology at Adelphi University, affiliated with the Gordon F. Derner School of Psychology. She is based in the Hy Weinberg Center and can be reached at 516.877.4810 or via email at ceubanks@adelphi.edu. Education: PhD, Stony Brook University (2008) Her research centers on identifying therapist skills and characteristics that lead to positive outcomes in psychotherapy, with a particular emphasis on the negotiation of alliance ruptures across different theoretical orientations. She investigates how such skills can be enhanced through training, aiming to bridge the gap between research and clinical practice. Her work integrates quantitative, qualitative, and case study methodologies to maintain both scientific rigor and clinical relevance. Dr. Eubanks has developed and refined the Rupture Resolution Rating System (3RS), an observer-based coding measure designed to evaluate alliance rupture and repair processes in therapy. The 3RS is transtheoretical and applicable across various therapeutic modalities, serving both as a research instrument and a training tool for therapists to improve their sensitivity to therapeutic process and identity-, goal-, or need-based differences between patient and therapist. She teaches advanced doctoral courses such as Advanced Topics in Mental Health, Supervision Theory & Practice, Doctoral Thesis Supervision series, and seminars on psychotherapy integration and psychological research. There are no scientific awards listed in the available information. Dr. Eubanks advises doctoral students through ongoing thesis supervision, contributing to the training of future clinical psychologists. Although specific grant funding is not mentioned, her research program suggests engagement with scholarly and potentially sponsored research activities. The Rupture Resolution Rating System (3RS) represents a key component of her research lab or conceptual research team, functioning as both an analytical framework and a pedagogical instrument in therapist development.

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Corrado MauriniView profile

Professor

McMaster UniversityCanada

Corrado Maurini is a Professor in Mechanics at Sorbonne University , Paris, France. He leads two international master programs: Mécanique des Solides (Solid Mechanics) and Computational Mechanics .

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Chiara NataliView profile

Research Fellow

Royal Holloway, University of LondonUnited Kingdom

Chiara Natali is a PhD Student in Computer Science at University of Milan-Bicocca (2022-present) and a Visiting Research Fellow at the Dalle Molle Institute for Artificial Intelligence USI-SUPSI, supported by a Swiss Government Excellence Research Fellowship. She serves as a Lecturer for Interaction Design Lab and Human-Computer Interaction courses at University of Milano-Bicocca, and as a Tutor for Advanced Data Management and Decision Support Systems and Human-System Interaction courses across multiple Italian universities. Her educational background includes: MA in Politics, Philosophy and Public Affairs at University of Milan (2020-2022) Master's in Digital Communication Strategy at IED, Milan (2019-2020) BSc in International Politics and Government at Bocconi University, Milan (2016-2019) Natali's research centers on the complex relationship between humans and AI systems, with particular focus on Human-AI Interaction, Explainable AI (XAI), Ethical AI, and her signature concept of Frictional AI. She investigates the multidirectional effects of AI on human cognitive faculties, examining the tension between Augmentation and Deskilling. Her work explores how intentional design friction can serve as a debiasing strategy against Automation Bias, promoting more thoughtful human-AI collaboration while preserving human agency and critical thinking. Her publication record reveals a strong emphasis on practical applications of XAI in high-stakes domains like healthcare, with particular attention to medical decision-making processes. Her research consistently addresses the challenge of designing AI systems that support rather than replace human expertise, exploring how explanations impact accuracy in hybrid decision-making and how to measure technology dominance in AI-supported environments. Her significant contributions have been recognized with: Best Paper Award at the World Conference on Explainable Artificial Intelligence (2024) Best Doctoral Consortium Award at CEUR Workshop Proceedings (2023) Natali actively shapes her field through academic service, serving as PUBLICITY & PROCEEDINGS CHAIR for HHAI 2025 and organizing multiple workshops on Human-Centred Machine Learning, Algorithmic Authority, and Frictional AI. She also contributes to gender equality in STEM as a Science Ambassador for her institution's Gender Equality Plan and previously served as PhD co-representative at the Department Board. Her interdisciplinary approach extends into creative domains, where she is developing an Interactive AI Opera on 'The Garden of (Un)Earthly AI's' funded by the University of Edinburgh's Generative AI Laboratory, and has curated projects exploring Human-AI Music Co-Creation and live-coding music performances.

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Gayithri JayathirthaView profile

Assistant Professor

University of Illinois Urbana-ChampaignUnited States

Gayithri Jayathirtha is an Assistant Professor in the College of Education at the University of Illinois at Urbana-Champaign, specializing in Curriculum & Instruction. Her research focuses on integrating social justice into K-12 computing education through electronic textiles and pedagogical frameworks. She holds a Ph.D. and Master's in Learning Sciences from the University of Pennsylvania, along with a B.S. in Computer Science Engineering from Bangalore University, India. Research Interests: Jayathirtha explores how electronic textiles can bridge technical and societal dimensions in computing education. Her work emphasizes critical engagement, equity, and teacher roles in reshaping curricula to include sociopolitical implications of technology. Key areas include computational thinking assessment, collaborative debugging, and justice-centered learning. Publications: Since 2017, she has published extensively in ACM and IEEE conferences, focusing on topics like teacher identity in social justice, student problem-solving with e-textiles, and portfolio assessments for computational thinking. Notable works include redesigning introductory computing programs to address colonialism and bias, as well as frameworks for politicized trust in classrooms. Scientific Contributions: Jayathirtha has co-authored studies on bugs as catalysts for peer collaboration, the invisibility of everyday computing systems, and strategies for equitable K-12 computing education. Her research often involves partnerships with educators to develop and test innovative teaching methods. Professional Impact: Through her publications and presentations at RESPECT, SIGCSE, and ICLS conferences, Jayathirtha advocates for expanding computing education beyond technical skills to include societal implications. Her work provides practical tools for teachers to integrate critical perspectives into curricula.

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Gregory LewkowiczView profile

Professor

Côte d'Azur UniversityFrance

Gregory Lewkowicz is a Professor at the Université libre de Bruxelles (ULB) , Director of the Perelman Center's Smart Law Hub , and a Senior Research Fellow at the University of Nice Sophia Antipolis in Economic Law and Artificial Intelligence. He also teaches at Science Po Paris Law School and the University of Paris II Panthéon-Assas , and is a recurring professor at HEC-Paris for digital transformation programs. Expertise: Digital law and technology, global/transnational law, legal professions Research Focus: Interactions between law and digital technologies (SMART Law), algorithmic law, AI in legal analysis, and transformations of legal professions Leadership: Director of "Penser le droit" collection at Bruylant Publishing , in charge of the Brussels Bar Observatory , and member of AI4Belgium advisory board His recent articles explore trends in algorithmic governance , trustworthy AI , legal argumentation , and digital transformation of legal systems. He has contributed extensively to Brussels School scholarship , focusing on its sociological and philosophical foundations. Gregory Lewkowicz directs research programs on AI ethics , smart city regulations , and global corporate accountability . He is affiliated with the Institute for Artificial Intelligence for the Common Good (FARI) and the Equality Law Clinic (ELC) .

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Massimo FranceschettiView profile

Professor

University of California, San DiegoUnited States

Massimo Franceschetti is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), with faculty affiliation at Calit2. His research spans mathematical engineering, focusing on control, communication, computation, and sensing, particularly in complex networks and systems. He integrates tools from statistical physics, wave propagation, and information theory to analyze and design networked systems. Born in Naples, Italy, he studied at the University of Naples Federico II and the University of Edinburgh (European exchange program), graduating in 1997. He earned his M.Sc. (1999) and PhD (2003) from Caltech, where he received the Walker von Brimer Award and the C.H. Wiltz Prize for outstanding research and thesis. After postdoctoral work at UC Berkeley (2003-2004), he joined UCSD as faculty and held visiting positions at Vrije Universiteit Amsterdam, EPFL (Switzerland), and the University of Trento (Italy). He became an IEEE Fellow in 2018 and was nominated a Guggenheim Fellow in 2019. His research includes networked control systems , stochastic geometry , electromagnetic information theory , and social dynamical systems . Recent work explores non-invasive emotional contagion in social networks, quantum limits on information entropy, and the physics of wave propagation. His publications bridge information theory , machine learning , and network science , often applying percolation theory and random walks to explain scaling laws and wireless signal behavior. Scientific accolades include the S.A. Schelkunoff Transactions Prize , IEEE Communications Society Best Tutorial Paper Award , and the IEEE Ruberti Young Researcher Prize . He co-authored two books: Random Networks for Communication (2007) and Wave Theory of Information (2018). His students have pursued careers in academia (e.g., IIT-Bombay, Notre Dame) and industry (e.g., Google, IBM, Tesla). He teaches courses on network science , information theory , and control systems , emphasizing data-driven analysis and the physical foundations of communication. His group’s work impacts cyber-physical systems , quantum network coding , and epidemic modeling on networks .

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Moe MojtahediView profile

Senior Lecturer

University of New South WalesAustralia

Dr Moe Mojtahedi is a Senior Lecturer at the School of Built Environment, University of New South Wales (UNSW). He earned his PhD in 2014 from the School of Civil Engineering at the University of Sydney. As a certified Project Management Professional (PMP) and Professional Engineer (PEng) accredited by Engineers Australia, Dr Mojtahedi bridges academic research with practical application in construction management and disaster risk reduction. PhD (University of Sydney, 2014) MEngSc (University of New South Wales) B.E. (Industrial), Professional Engineer (Australia) His research focuses on the intersection of construction management , urban resilience , and disaster risk reduction , particularly examining: Climate change adaptation in infrastructure Post-disaster recovery frameworks Lean construction methodologies Decision support systems for risk management Evacuation planning optimization Resilient hospital infrastructure Recent publications analyze trends in disaster science using computational modeling, prefabricated construction for industrial buildings, and AI/ML applications in aged care facility evacuation. His 2025 ChemistryOpen article explores sustainable reaction media for chemoselective processes, demonstrating interdisciplinary reach. Scientific recognition includes: Research Excellence Awards (Engineers Australia, 2012 & 2013) Best Conference Paper (ICES, Salford, 2017) Elsevier Outstanding Contribution Award (International Journal of Project Management, 2017) Learning and Teaching Excellence (UNSW, 2017) As a supervisor, he guides 7 PhD candidates and has mentored 4 graduates, including Mahmoud Ershadi (project management office effectiveness) and Kamyar Kabirifar (construction waste management). He contributes to policy discussions on aligning National Construction Code with UN Sendai Framework and advocates for disaster science integration in built environment practices. His media contributions examine hospital flood risks and climate change adaptation in Australia.

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Elvira Nadia La RoccaView profile

Associate Professor

Sapienza University of RomeItaly

Elvira Nadia La Rocca serves as Associate Professor at Sapienza University of Rome in the Department of Legal and Economic Studies. She teaches Criminal Procedure (4th year, 1st semester), Criminal Enforcement Law (2nd year, 1st semester), and Anti-Mafia Legislation (2nd year, 2nd semester) within the Law program (Course code 33465). Her office hours are held on Wednesdays from 15:00-18:00 and Mondays from 10:00-13:00, with remote consultation available via her institutional email. Professor La Rocca's research focuses on criminal law and procedure, with particular expertise in confiscation law, penitentiary systems, and judicial administration. Her work examines the intersection of procedural efficiency and fundamental rights, analyzing contemporary reforms like the Cartabia Reform of Italy's criminal justice system. She investigates how legal frameworks balance crime prevention with constitutional protections, especially regarding asset confiscation, prison conditions, and procedural guarantees for defendants. Her recent publications demonstrate consistent scholarly output examining evolving criminal justice mechanisms. The articles reveal a methodological trend analyzing European and international legal developments through Italian jurisprudence, with particular attention to Constitutional Court rulings. Her work bridges theoretical legal concepts with practical judicial applications, often addressing tensions between procedural streamlining and fundamental rights protection in criminal proceedings. Professor La Rocca leads research on critical contemporary issues including 'The administration of justice during the health emergency: from inexorable quiescence to the creation of a functional and virtuous paradigm' and 'The predictability of judicial decisions in the era of emergency criminal justice: perspectives and assessments after thirty years of validity of the Code of Criminal Procedure.' These projects address systemic challenges in maintaining judicial functionality during crises while preserving legal certainty and procedural fairness.

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