Jeremy Baumberg is a Professor at the Cavendish Laboratory, University of Cambridge, leading research in nanoscience and nanotechnology. He specializes in designing nano-materials with unique optical properties, including plasmonic cavities and polymer opals, with applications in catalysis, sensing, and energy. His work bridges academia and industry through collaborations with Hitachi, IBM, and his spin-offs Mesophotonics and Base4. Research interests focus on light-matter interaction in nanoscale systems, quantum plasmonics, surface-enhanced Raman spectroscopy (SERS), and nanocavity engineering. Recent projects include developing plasmonic nanogap reactors, high-energy-density battery materials, and the open-source WaterScope platform for water quality monitoring. Awards : Faraday Medal (2017) Rumford Medal (2014) Young Medal (2013) Royal Society Fellowship (2011) Mullard Prize (2005) His lab, the Ray Dolby Centre, explores optomechanical systems, plasmonic sensors, and nanostructured materials. Baumberg advises ARIA and serves on the EPSRC Council, emphasizing interdisciplinary innovation and scalable nanotechnology solutions.
Dr. Sungyong Ahn is a Lecturer in Digital Media and Cultures at the School of Communication and Arts, University of Queensland, and an affiliate of the Centre for Digital Cultures & Societies. His research focuses on digital ontology, new materialism, and speculative (capitalist) realism, examining how smart technologies reshape human perception and governance. He holds a PhD in Media Studies from the University of Illinois at Urbana-Champaign. Education: Bachelor of Philosophy (Yonsei University), Master of Film and Television (Chung-Ang University), PhD in Media Studies (UIUC). His research investigates the interplay between technology, capitalism, and cultural production, particularly through the lens of the Internet of Things (IoT), quantum physics as cultural imagination, and French philosophy (Foucault, Deleuze, Badiou). Recent work includes analyzing IoT’s role in self-governance and the ontological anxieties of digital existence. Publications span journals like Media Theory , Journal of Cultural Economy , and Postmodern Culture . He is the author of Internet-ontologies-Things: Smart Objects, Hidden Problems, and Their Symmetries (2023). Available for supervision in media studies, digital cultures, and science/technology studies. Active in interdisciplinary collaborations, including the Centre for Digital Cultures & Societies.
Professor Douglas Guilfoyle is a Professor at UNSW Canberra within the School of Humanities & Social Sciences, where he joined in 2018. He is a 2022-2025 Australian Research Council Future Fellow working on "Small States' use of law of the sea litigation against greater powers" (FT210100186). He is also a non-resident fellow at the Sea Power Centre - Australia and was a Visiting Legal Fellow at the Department of Foreign Affairs and Trade (2018-2019). Professor Guilfoyle's educational background includes: Doctor of Philosophy (International Law), University of Cambridge, 2007 Master of Laws (International Law), University of Cambridge, 2004 Bachelor of Arts (Hons I) and Bachelor of Laws (Hons I) Australian National University, 2000 Professor Guilfoyle's research focuses on maritime security, the international law of the sea, and international and transnational criminal law. His particular areas of specialism include maritime law-enforcement, the law of naval warfare, international courts and tribunals, and the history of international law. His work examines how small States use UN Convention on the Law of the Sea (UNCLOS) dispute settlement mechanisms to gain political advantages in conflicts with greater powers. His research crosses over from the maritime domain to international criminal law generally, including questions of the effectiveness of international criminal tribunals and the law of superior responsibility. He has made significant contributions to understanding counter-piracy efforts, maritime interdiction operations, and the protection of submarine cables in the context of modern security challenges. Professor Guilfoyle's recent publications demonstrate a clear trend toward examining the intersection of emerging technologies and maritime law, particularly regarding autonomous vessels. His work also shows a deep engagement with the strategic use of international law by small states, maritime security challenges in the Indo-Pacific region, and the evolving role of international courts and tribunals in resolving complex maritime disputes. His scholarship consistently bridges theoretical legal frameworks with practical security concerns. Professor Guilfoyle has received several prestigious awards and fellowships: 2022-2025 Australian Research Council Future Fellow Gates Cambridge Scholar, 2004-2007 British Council Chevening Scholar, 2003-2004 British Academy Mid-Career Fellowship, 2012-2013 Professor Guilfoyle has secured significant research funding including an Australian Research Council Future Fellowship ($948,000, 2022-2025) for his project on "The use of strategic law of the sea litigation by small States against greater powers," and an Australian Research Council Discovery Project ($158,000, 2020-2023) on "Legal Regulation of Marine Autonomous Vehicles." His research is informed by extensive consultancy work with various government and international organizations. Prior to joining UNSW Canberra, he held academic positions at Monash University and University College London, and has practical legal experience as a judicial associate in the Australian Federal Court and as a commercial litigation solicitor in Sydney. Professor Guilfoyle is a frequent contributor to leading international law blogs such as EJIL:talk and Opinio Juris, demonstrating his active engagement with the international legal community and current developments in the field.
Christopher W. Wiese is an Assistant Professor in the School of Psychology at Georgia Institute of Technology’s College of Sciences. He holds a Ph.D. in Industrial-Organizational Psychology (2015) and a B.S. in Psychology with a Management minor (2007), both from the University of Central Florida. His research focuses on interdisciplinary, person-centric approaches to well-being and team dynamics across diverse contexts. His work emphasizes improving human flourishing through studies on commuting impacts, team learning, and the intersection of self-control with happiness. The Foundation Lab , his research hub, uses advanced technologies like virtual reality and driving simulators to simulate future work environments and examine cognitive/psychological phenomena. Current projects explore well-being metrics, future commuting trends, and team performance dynamics. Publications highlight themes like commuting’s effects on worker well-being, meta-analyses of physical activity benefits, and team development over time. He actively recruits PhD students for 2024 enrollment. No scientific awards are explicitly listed, but his lab’s innovative methodologies suggest strong research impact. Advising and grants sections remain underdeveloped in the provided texts, though his lab’s experimental facilities imply ongoing or completed grant-funded projects. The Foundation Lab’s multi-media pods and VR setups enable simultaneous studies on individual health and team collaboration, positioning him as a leader in applied organizational psychology.
Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104
Mauro Calcagno is an Associate Professor of Music at the University of Pennsylvania, specializing in opera studies, early modern music, performance studies, critical theory, and digital humanities. He holds a Ph.D. in Music from Yale University (2000) and previously taught at Harvard University (until 2008) and Stony Brook University (until 2013). His research focuses on Baroque opera, Monteverdi’s works, and digital editions of early music. Notable publications include From Madrigal to Opera: Monteverdi's Staging of the Self and contributions to the Journal of the American Musicological Society . His edition of Cavalli's Eliogabalo has been internationally performed and critically praised. He co-directs the Marenzio Online Digital Edition (MODE), funded by a NEH grant, and is involved in initiatives like the Bibliotheca Dantesca online journal and the Music in the Pavilion concert series. His awards include the Alfred Einstein Award for an essay on 17th-century vocal aesthetics. At Penn, he directs undergraduate education in the Music Department, chairs the Center for Italian Studies (2017–2021), and co-leads the Rodin Arts Collective. His teaching spans doctoral seminars on opera theory, Baroque music, and digital editing, as well as undergraduate courses on opera history. He actively collaborates with institutions like the Juilliard School and the Centre for Baroque Music in Versailles, offering workshops on Baroque performance practices. His current projects include a book on modern stagings of Baroque opera and a comparative literature initiative through Penn’s graduate programs.
Nima Monshizadeh Naini is a Professor in the Faculty of Science and Engineering at the University of Groningen. He holds the position of Chair of the IEM Program Committee and serves on the boards of ENTEG and YSEN. His academic journey includes a PhD in Control Systems from the University of Groningen (2013, Cum Laude), followed by postdoctoral research at the University of Cambridge (2016-2017) and the University of Groningen (2014). He has been an Assistant Professor since 2018 and was awarded the NWO Open Competition Grant in 2021. His research focuses on Cyber-Physical Human Systems (CPHS) , addressing two core areas: (1) Coordination of self-interested users in power systems and traffic networks using dynamic information design and game-theoretic mechanisms; and (2) Privacy-aware control and optimization with tailored encryption methods for dynamic systems. Applications include energy markets, microgrids, and smart grids. He has published extensively in top venues like IEEE CDC and Automatica, with key topics including privacy-preserving algorithms, distributed control, and optimal intervention design. His work contributes to UN Sustainable Development Goals related to affordable energy and responsible consumption. Education: PhD in Control Systems, University of Groningen (2013) Research Associate, University of Cambridge (2016-2017) Postdoctoral Researcher, University of Groningen (2014) Awards: Cum Laude distinction for PhD thesis (2013) NWO Open Competition Grant (2021) Advising & Grants: Supervised 5 PhD students Editorial roles in IEEE journals and conference proceedings Labs/Teams: Leading the Cyber-physical systems group within the Smart Manufacturing Systems institute.
Dr. Damian Arellanes is a Lecturer (Assistant Professor) in Computer Science at Lancaster University, UK, affiliated with the Software Engineering Group and Lancaster Centre for Intelligent, Robotic and Autonomous Systems (LIRA). He holds a PhD from The University of Manchester (2020) and a Postgraduate Certificate in Academic Practice from Lancaster University (2023). His research focuses on theoretical foundations of algebraic composition for high-level computation models, including emergent/self-organising systems and software composition. He has contributed to areas such as category theory, control-flow separation, and compositional programming for IoT systems. Education: PhD in Computer Science, University of Manchester (2020) Postgraduate Certificate in Academic Practice, Lancaster University (2023) MSc in Computer Science, supported by CONACYT (2012–2014) BEng in Computer Engineering, supported by PRONABES (2009–2012) Research Interests: Damian’s work emphasizes algebraic semantics, compositional models for software, and theoretical computer science principles. He explores how abstract mathematical frameworks (e.g., category theory) can formalize computational systems and enable scalable IoT solutions. Publications: Damian has published extensively on algebraic composition, IoT systems, and formal methods. Key themes include compositional programming, self-organizing software, and scalable service architectures. Awards: Official Nominator for the VinFuture Prize (2024) Honourable Mention for Most Outstanding Mexican Student in STEM (2021) Nick Sanders Kickstarter Fund (2019) Outstanding Doctoral Paper Award (2019) Best MSc Thesis in AI (2015) Advising & Grants: Damian supervises PhD students, such as Mina Yavari, and actively reviews for journals like IEEE TSC and conferences like TASE. He has secured scholarships and fellowships from CONACYT and the Mexican government. Labs/Teams: Member of LIRA’s Fundamentals Section and the Software Engineering Group at Lancaster University.
Dr. James Saunderson is a Senior Lecturer and Director of Education in the Department of Electrical and Computer Systems Engineering at Monash University. He holds a PhD in Electrical Engineering and Computer Science from MIT and has held postdoctoral roles at Caltech and the University of Washington. His expertise spans convex optimization, semidefinite programming, and quantum information theory. Education : PhD in EECS, MIT (2015) MS in EECS, MIT (2011) Bachelor of Engineering (Honours) and Bachelor of Science (Honours), University of Melbourne (2008) Research Interests : Convex optimization, quantum information theory, signal processing, and algorithm design. Focuses on algebraic and geometric aspects of optimization, with applications in engineering and quantum systems. Recent Projects : Exploiting duality in quantum relative entropy optimization Hyperbolic programming and conic optimization Applications in nanotechnology and bioinformatics Teaching : Courses include Control System Design, Signals and Systems, and Optimization for Engineers. Awards : SIAM Optimization Best Paper Prize (2020) Grants and Collaborations : Australian Research Council Discovery Early-Career Research Fellow (2020–2024) Leading projects in quantum optimization and bioengineering applications.
Kengo Deguchi is a Senior Lecturer in the School of Mathematics at Monash University. His research focuses on fluid dynamics, magnetohydrodynamics, and turbulence phenomena. He leads and collaborates on ARC-funded projects exploring flow control via topography, vortex dynamics in complex flows, and mathematical descriptions of magneto-hydrodynamic turbulence. Notable awards include the 2018 Faculty of Science Research Excellence Award and Vice-Chancellor’s Early Career Excellence Award. Education: Doctorate in Fluid Dynamics (details not specified in text) His research interests emphasize nonlinear instabilities, vortex dynamics, and coherent structures in shear flows. Recent work investigates Taylor-Couette flow chaos, subcritical transitions, and MHD dynamos. Over 40 publications span topics like turbulence statistics, chaotic patterns, and fluid instabilities. Key projects include investigating vortex persistence in counter-rotating systems and developing mathematical frameworks for MHD turbulence. He has secured funding through ARC grants (2017-2026) and collaborates internationally with experts like Prof. Hall and Prof. Blackburn. Grants: $A 2.6M+ in ARC funding (2017-2026) Labs/Teams: Collaborative fluid dynamics research groups focused on experimental and computational turbulence studies
Amir Asadi is an Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, holding the Corrie & Jim Furber '64 Faculty Fellow position. His research focuses on scalable manufacturing of multifunctional composites, structural energy systems, and advanced materials design. He leads the Polymer Composites Advanced Manufacturing (PCAM) Lab, which explores bottom-up fabrication techniques and additive manufacturing processes. Asadi holds a Ph.D. in Mechanical and Manufacturing Engineering from the University of Manitoba (2013), an M.S. in Mechanical Engineering from Iran University of Science & Technology (2006), and a B.S. in Mechanical Engineering from the same institution (2004). His work bridges molecular-level interactions with macroscale material performance, targeting applications in aerospace, e-mobility, and energy storage. Key research interests include structural battery/supercapacitor composites, additive manufacturing of polymer composites, and fast-rate manufacturing of thermoplastics. He has pioneered methods like supercritical CO₂-assisted atomization and cellulose nanocrystal-enabled interface tailoring to enhance composite performance. Asadi has received the NSF CAREER Award (2022) and has been an invited speaker at major conferences such as the Brazilian Conference on Composite Materials (2021) and Chalmers University’s “Materials for Tomorrow” event (2020). His lab’s innovations aim to revolutionize lightweight, multifunctional materials for industrial sectors. His research outputs include over 50 peer-reviewed articles, covering topics from nanocomposite interfaces to 3D-printed structural batteries. He collaborates with industry partners like the Air Force Research Lab and focuses on translating lab-scale innovations into scalable manufacturing solutions.
Joachim Krueger is a Professor of Cognitive and Psychological Sciences at Brown University. He holds editorial roles at the Personality and Social Psychology Review and the American Journal of Psychology . His research focuses on social judgment, decision-making, and the intersection of cognitive psychology with behavioral economics and organizational behavior. Key themes include self-perception, intergroup relations, free will belief paradoxes, and the volunteer’s dilemma. Dr. Krueger earned his Ph.D. from the University of Oregon (1988) and completed postdoctoral research at the Max Planck Institute in Berlin before joining Brown in 1991. He teaches courses on psychology in business, happiness philosophy, and behavioral decision sciences. His work critiques positivist methodologies while exploring creativity, leadership, and the replication crisis in psychological research. He is a Fellow of the Association for Psychological Science, Society for Experimental Social Psychology, and Eastern Psychological Association. His writings include books on social judgment, rationality, and happiness, alongside a Psychology Today blog. Krueger collaborates across disciplines, emphasizing pragmatic approaches to understanding human social behavior.
Scott Fraundorf is an Associate Professor in the Department of Psychology at the University of Pittsburgh, affiliated with The Dietrich School of Arts & Sciences and the MAPLE Lab at the Learning Research and Development Center (LRDC). His research focuses on psycholinguistics, memory systems, cognitive aging, metacognition, and educational technology. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and has been recognized with an NSF Graduate Research Fellowship (2007-2011) and inclusion in the List of Teachers Ranked as Excellent by Students ("Outstanding"). Key research themes include the role of prosody and disfluency in language processing, cognitive aging effects on memory, and the application of statistical modeling to study decision-making and learning strategies. His work bridges experimental psychology with real-world educational interventions, such as adaptive grammar instruction tools and investigations into digital literacy practices among adolescents. Recent publications emphasize cognitive mechanisms underlying expertise retention in medical professionals and the impact of exercise on memory preservation in older adults. He collaborates on projects analyzing how contrastive linguistic cues (e.g., pitch accent, beat gestures) influence online discourse comprehension and long-term memory encoding. Labs/Teams: MAPLE Lab (Memory, Attention, Processing, Learning, Education) Grants: NSF Graduate Research Fellowship Advising: Advises graduate student Jessica Macaluso
Dr. Daniel M. Dowden is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University. He holds a PhD in Civil Engineering (Structural Engineering) from the University at Buffalo, along with MS and BS degrees in Civil Engineering from the University of Wyoming and Washington State University, respectively. Prior to academia, he worked as a structural engineer in Seattle for 10 years, which influenced his research focus on earthquake engineering and resilient infrastructure design. Education: PhD, Civil Engineering – Structural Engineering, University at Buffalo (2014) MS, Civil Engineering – Structural Engineering, University of Wyoming BS, Civil Engineering – Structural Engineering, Washington State University His research emphasizes innovative solutions for earthquake-resistant structures, particularly self-centering systems and low-damage frameworks to mitigate seismic impacts. He has conducted extensive experimental testing using shake-tables, pseudo-dynamic systems, and static methods. Key areas include steel plate shear walls, post-tensioned connections, and resilient friction dampers. Teaching focuses on earthquake engineering, structural dynamics, steel/concrete design, and structural analysis. He joined Michigan Tech in 2017 after serving as Structural & Testing Engineer at UB’s Structural Engineering and Earthquake Simulation Laboratory (SEESL), where he contributed to seismic qualification testing. Recent publications highlight advancements in numerical modeling of friction dampers, shake-table testing methodologies, and analytical investigations of rocking wall systems.
Clifford W. Bogue, MD , is the Waldemar Von Zedtwitz Professor of Pediatrics, Chair of the Department of Pediatrics at Yale School of Medicine, and Chief of Pediatrics for the Yale New Haven Health System. He has been a faculty member at Yale since 1993 and has held numerous leadership roles, including Interim Chairman of Pediatrics, Chief Medical Officer of Yale-New Haven Children’s Hospital, and Director of Pediatric Critical Care programs. Education: BA and MD from the University of Virginia; Residency and Chief Residency at Vanderbilt University; Fellowship in Pediatric Critical Care at Yale. Dr. Bogue is a pediatric critical care specialist whose research centers on the molecular mechanisms of organ development, particularly the role of the Hhex gene in liver, cardiovascular, and lung organogenesis. His lab used mouse models to uncover critical genetic pathways in embryonic development, with implications for regenerative medicine. His recent work also extends into pediatric public health, critical care infrastructure, and health equity. An analysis of his recent publications reveals a sustained focus on developmental genetics, with increasing engagement in clinical and policy-oriented research in pediatrics. His work spans molecular biology, translational models, and national health initiatives, reflecting a broad scholarly impact. His scientific honors include: President of the American Pediatric Society (2024–2025) Norman J. Siegel Faculty Award Marna P. Borgstrom Lifetime Achievement Award Consistent recognition in Best Doctors in America since 2004 Honorary M.A. from Yale University Dr. Bogue has been deeply involved in training the next generation of physician-scientists, serving as PI of an NIH T32 program, Training Director of the Yale Child Health Research Center (K12), and mentor in the MD/PhD program. He has contributed to national pediatric research policy through roles in the American Academy of Pediatrics, NIH advisory committees, and the Charles H. Hood Foundation. He leads or has led significant research initiatives, including an NIH-funded program on cardiopulmonary development and the Bedside to Bench seminar for medical students. His leadership extends to national boards and editorial roles, including Section Editor for Current Opinion in Pediatrics .
