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Ola Andres ErstadView profile

Professor

• Digital Literacy
• Educational Technology
• Learning Sciences
• +2 more

Ola Andres Erstad is a tenured Professor and Dean of the Faculty of Educational Sciences at the University of Oslo , with over three decades of academic leadership and research excellence. Specializing in Digital Literacy , Educational Technology , and Learning Sciences , his work bridges formal/informal learning and explores the sociocultural impacts of digital platforms on education. Academic Tenure: Professor (2008–present), Visiting Professor (UC San Diego, 2010–2011) Leadership: Institute Director (2015–2020), National PhD School Leader (2012–2014) Research Themes include: Digital Competence: Analyzing consequences of digitalization on youth education Learning Lives: Tracking cross-contextual educational trajectories in Groruddalen Platformization: Investigating digital platforms' impact on pedagogical structures Recent Publications (2022–2025) focus on dialogic learning in polarized societies, digital family ecosystems , and multimodal literacy . His international collaborations span Portugal, Denmark, and the U.S., with projects funded by NFR , COST Actions , and Science Europe . Currently leading the PlatFams initiative, Erstad explores cross-generational digital integration.

Bob Beitle Jr.View profile

Professor

• Biochemical Engineering
• Bioseparation
• Fermentation
• +5 more

Dr. Bob Beitle Jr. is a Professor of Chemical Engineering and Senior Associate Vice Chancellor for Research and Innovation at the University of Arkansas. He joined the department in 1993, earned tenure in 1998, and was promoted to Full Professor in 2006. His research spans biochemical engineering , bioseparation , fermentation , and adaptive technology for the disabled , with significant work on protein purification, catalytic nanoparticles, and sustainable bioprocesses. Education: BS, MS, PhD in Chemical Engineering from the University of Pittsburgh (1987, 1991, 1993) Dr. Beitle's research combines experimental and computational approaches, focusing on peptide-directed nanoparticle synthesis and biocatalysis . His recent publications highlight advancements in MOF-based separations , CO2 capture materials , and viral detection platforms . He has secured grants like the CAREER Award and led projects in industrial partnerships and student development . Scientific contributions include multiple patents in bioseparation and software interfaces. Awards span decades: teaching honors (1988–2007) and mentorship recognition . He serves on the Cell and Molecular Biology Program Advisory Committee and the Executive Committee for the Biochemical Technology Division of ACS . Lab initiatives involve genomic data-driven affinity tail design and membrane-assisted fermentation systems .

Salvador Barraza LopezView profile

Professor

• 2D Materials
• Ferroelectricity
• Topological Materials
• +4 more

Salvador Barraza-Lopez is a Professor of Physics at the University of Arkansas' College of Arts & Sciences. A theoretical physicist specializing in 2D materials, he developed discrete differential geometry approaches for strain effects in graphene and pioneered 2D ferroelectric research. As a DOE Early Career Awardee (2016) and MonArk NSF Quantum Foundry co-founder, he leads interdisciplinary collaborations across physics, materials science, and mathematics. PhD in Physics from University of Illinois-Urbana Champaign (2006) Postdoctoral work at Virginia Tech and Georgia Tech Established theory of structural transformations in 2D ferroelectrics His research spans quantum phase transitions in 2D systems, strain engineering, and topological materials. Three major review articles in Reports on Progress in Physics (2017, 2023) and Reviews of Modern Physics (2021) synthesize his work on mechanical, electronic, and optical properties of strained 2D materials. Recent publications focus on winding Berry dipoles in strained graphene, size-dependent ferroelectric transitions in homobilayers, and symmetry-breaking effects in moiré superlattices. Collaborations with Kai Chang (Beijing) and Stuart Parkin (MPI-Halle) demonstrate international impact. Awards: DOE Early Career Award (2016) Outstanding Mentor Recognition (2013) Young Investigator of the Year (2013) Mentored 2 NSF Graduate Fellows (Erin Farmer, Joseph Roll) and 3 Goldwater Scholars. Current group includes 2 undergraduates, 3 PhD students, and 2 postdocs. His theoretical frameworks enabled experimental collaborations with DOE labs and Max Planck Institute, securing $0.5M for Arkansas supercomputer upgrades (2024).

Huaxiang FuView profile

Professor

• Ferroelectric Materials
• Quantum Dots
• Density Functional Theory
• +4 more

Dr. Huaxiang Fu is a Professor in the Department of Physics at the University of Arkansas' College of Arts & Sciences, where he has been since 2002. His research focuses on first-principles computational studies of bulk and nanomaterials, particularly ferroelectric materials, quantum dots, and organic-inorganic hybrid materials. Education: Ph.D., Fudan University, China (1994) Postdoctoral Associate, National Renewable Energy Lab, Colorado (1995–1998) Postdoctoral Associate, Geophysical Lab, Carnegie Institution of Washington, DC (1999–2000) Dr. Fu's research spans five key areas: phase transitions in low-dimensional ferroelectrics, finite electric fields in solids, defect physics in ferroelectrics, hyperferroelectricity, and organic-inorganic hybrid materials. His work often employs density functional theory and computational modeling to explore polarization behavior, strain effects, and electronic structure. His recent publications highlight trends in ferroelectricity under strain , defect-induced polarization changes , and spin-orbit coupling effects . Notable collaborations include researchers at Carnegie Institution and University of Arkansas. Teaching: Undergraduate: General Physics, Statics, Mechanics of Materials, University Physics II, Electromagnetism, Fortran Programming, Computational Physics in C++, Physics for Architects II, Thermal Physics. Graduate: Statistical Mechanics, Solid State Physics, Optical Properties of Materials, Advanced Solid State Physics, Physics at the Nanoscale, Quantum Mechanics, Mathematical Methods. Research Contributions: 2004: Nature publication on ferroelectric nanodisks 2000: Nature paper on polarization rotation in piezoelectrics 2013: Pioneering work on electromechanical angular momentum coupling

Qiaoning Carol ZhangView profile

Assistant Professor

• Human-AI Collaboration
• Human-Robot Interaction
• Human Factors in Automated Vehicles
• +4 more

Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.

Biyun XieView profile

Assistant Professor

• Kinematically Redundant Robots
• Fault Tolerant Robots
• Collaborative Robots
• +4 more

Biyun Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering. Her research focuses on kinematically redundant robots, fault-tolerant robotics, and human-robot interaction, with applications in dangerous environments and collaborative systems. Education : Ph.D. in Electrical Engineering from Colorado State University (2019), Ph.D. in Mechanical Engineering from Beijing University of Technology (2015), and B.S. in Mechanical Engineering and Automation from Beijing University of Technology (2009). Research Interests : Kinematically Redundant Robots Fault Tolerant Robots Collaborative Robots Human-Robot Interaction Publications (2025–2023) highlight advancements in real-time fault-tolerant motion planning for redundant robots, neural network-based motor health monitoring, human-like motion algorithms, and collision-free trajectory optimization. These works intersect robotics, artificial intelligence, and mechanical/electrical engineering. Contact : Biyun.Xie@uky.edu | 859-562-2557

Franz Lennard RicklefsView profile

Professor

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +5 more

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

Forest M. WhiteView profile

Professor

• Metastasis
• Precision Medicine
• Immunology & Immunotherapy
• +7 more

Professor Forest M. White is a faculty member at MIT's Department of Biological Engineering , where he holds the Ned C. and Janet Bemis Rice Professorship . He is affiliated with the Koch Institute for Integrative Cancer Research and the MIT Center for Precision Cancer Medicine . His research focuses on systems biology and computational modeling of signaling networks in cancer, particularly at the tumor-immune interface . Education: B.S. in Chemistry (Framingham State College, 1993), Ph.D. in Analytical Chemistry (Florida State University, 1997) Professional Journey: Postdoc at University of Virginia, Research Scientist at MDS Proteomics, Assistant Professor at MIT (2003), Mitsui Career Development Professor (2005-2008) White employs high-resolution mass spectrometry to analyze protein phosphorylation and antigen presentation in cancer models, complementing genomic/transcriptomic approaches. His lab has identified chronic stress response enzymes linking high-fat diets to metabolic dysfunction and discovered resistance mechanisms in cancer therapies through phosphoproteomics . Scientific Awards: Mitsui Career Development Professorship (2005-2008) Ruth and Joel Spira Award for Excellence in Teaching (2010) Fellowship from the Ludwig Center at MIT The White Lab actively recruits trainees (undergraduates, graduates, postdocs) through programs like MSRP , CSB , and HST . His work is supported by grants from Break Through Cancer and Ludwig Center , with collaborations spanning Cima Lab , Swanson Biotechnology Center , and MIT Koch Institute .

• Environmental Law
• Climate and Resilience Justice
• Circular Economy
• +7 more

Tiago de Melo Cartaxo is a Senior Lecturer in Environmental Law at the University of Exeter’s College of Humanities and Social Sciences, Cornwall Campus. He founded the Exeter Centre for Environmental Law (ExCEL) and is part of Law and Business Cornwall (LAB/C). Current roles include Associate Director for External Engagement at the Environment and Sustainability Institute (ESI) and former Director of Postgraduate Research for Humanities and Social Sciences. His research focuses on environmental rights, climate resilience justice, circular economy, energy transition, and international environmental law. He holds a European PhD in Law from Universidade Nova de Lisboa, with postdoctoral work at the University of Surrey. Tiago has advised governments and international bodies, including the Portuguese Presidency of the EU Council, and chairs the World Public Sector Integrity Initiative (WPIEI). Education European PhD in Law, Universidade Nova de Lisboa (2015–2020) LLM in Environmental Law and Planning, University of Coimbra (2012–2014) Licenciatura in Law, University of Lisbon (2000–2005) Research Interests He explores legal frameworks supporting sustainability transitions, including governance of single-use plastics, nature markets, and climate adaptation. His work bridges environmental law with social equity, focusing on resilience justice, circular economy policies, and EU environmental law. He emphasizes transdisciplinary approaches to address socio-ecological challenges in urban contexts. Notable Contributions Coordinated ESI-funded projects on regulatory frameworks for nature markets Developed academic partnerships with the Portuguese Environment Agency Chaired WPIEI during Portugal’s EU Presidency Advised on post-2011 Portuguese economic reforms Awards & Affiliations Fulbright Scholarship (USA) FCT Fellowships (Portugal) Senior Fellow of AdvanceHE Member of ILA Committees on Sustainable Development, SDGs, and ICC Environment Commission Advising & Grants Tiago welcomes PhD/Masters supervision in Environmental & Climate Law. His grants include ESI funding and collaborations with international institutions. He leads the NOVA Law Green Lab and has advised Portuguese and EU policymakers on environmental compliance and energy transitions. Labs & Networks Founder of ExCEL and NOVA Law Green Lab; collaborates with Exeter Biodiversity & People Network, Exeter Food Policy, and Environmental Intelligence initiatives.

Simon WebbView profile

Professor

• Organic Chemistry
• Biomaterials
• Nanotechnology
• +7 more

Simon Webb is a Professor of Organic Chemistry at the University of Manchester, leading the Organic Chemistry Group within the School of Chemistry. His research focuses on molecular self-assembly to create biomimetic materials, with key themes including membrane recognition, synthetic ion channels, and magnetically responsive biomaterials. He earned his PhD from the University of Cambridge and has held academic positions since 2002. His work bridges organic chemistry, nanotechnology, and biomedicine, contributing to sustainable development through advanced materials in medicine and biotechnology. Education: B.Sc./M.Sc. Chemistry, Auckland University (1990–1994) PhD, University of Cambridge (1994–1997) Research Interests: Membrane communication via synthetic ion channels Magnetic nanoparticle-vesicle assemblies for drug delivery Peptide-based foldamers for signal transduction His lab develops materials that mimic biological membranes, such as magnetically triggered drug delivery systems (MNPVs) and foldamer-based sensors. Collaborations span advanced materials, biotechnology, and medical research. Current projects include exploring cooperativity in multivalent ligand binding and lipid raft dynamics. Publications highlight innovations in foldamer design, supramolecular arrays, and enzyme-responsive materials. His work is supported by grants and contributes to UN Sustainable Development Goals in health and advanced materials.

Jorge PiekarewiczView profile

Professor

• Nuclear Theory
• Neutron Stars
• Dense Matter
• +6 more

Prof. Jorge Piekarewicz is a Professor of Physics at Florida State University (FSU), affiliated with the College of Arts and Sciences. He earned his Ph.D. in theoretical nuclear physics from the University of Pennsylvania in 1985, followed by postdoctoral research at Caltech and Indiana University. Since 1990, he has been a faculty member at FSU. Education: Ph.D. in Theoretical Nuclear Physics, University of Pennsylvania (1985) Postdoctoral Fellowships: California Institute of Technology and Indiana University Research Interests: His work focuses on extreme-density nuclear matter in neutron stars, bridging terrestrial experiments and astrophysical observations. Key areas include: Neutron star structure and equation of state Weak interaction probes (e.g., parity-violating electron scattering) Multi-messenger astronomy insights from neutron star mergers Covariant energy density functionals and symmetry energy constraints Articles Trends: Recent work emphasizes refining the nuclear equation of state using PREX-CREX experiments, gravitational wave data (e.g., GW170817), and Bayesian methods. Key themes include neutron skin thickness, crust-core interactions, and symmetry energy sensitivity. Service & Outreach: Nuclear Science Advisory Committee (2012–2015) FRIB Theory Alliance Director (2017–2021) INT National Advisory Committee Chair (2018–2020) OLLI Lecturer on stellar evolution and neutron stars Collaborations: Active involvement with CERN, FRIB, JLab, and the Facility for Rare Isotope Beams (FRIB). Research leverages facilities like the Relativistic Heavy Ion Collider and the National Superconducting Cyclotron Laboratory.

Rajesh Krishna BALANView profile

Professor

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Learning & Work
• +9 more

Rajesh Krishna BALAN is a Full-Time Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) . His research focuses on Human-Machine Collaborative Systems , Pervasive Sensing , and Health & Wellbeing technologies. Based in Singapore, he leverages mobile computing to address urban sustainability and quality-of-life challenges. PhD from Carnegie Mellon University (2006) Specializes in WiFi sensing , VR/AR , and health monitoring Advises PhD students in areas like urban mobility , empathetic design , and cyber-physical systems Beyond academia, BALAN's work bridges ubiquitous computing and public health , with applications in ageing populations , mental health analytics , and smart city optimization . His recent publications highlight cross-disciplinary approaches to sleep analysis , group behavior modeling , and contactless physiological sensing . BALAN actively contributes to educational technology through projects like Technology-Enhanced Learning frameworks. He is also a mentor in collaborative research areas including biomedical informatics and lifestyle monitoring , with a focus on mobile GPU optimization and low-power systems .

Jian ZhaoView profile

Associate Professor

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +6 more

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

Jon McCormackView profile

Professor

• Computational Creativity
• Human-machine interfaces
• Artificial Intelligence/Cybernetics
• +9 more

Jon McCormack is a Professor jointly appointed in Monash University's Faculty of Art, Design & Architecture (MADA) and Faculty of Information Technology. He founded and directs SensiLab, a research facility focusing on computational creativity, human-machine interfaces, and generative systems. His work spans electronic media art, evolutionary music, and artificial life. McCormack holds a PhD in Computer Science from Monash University, along with degrees in Computer Science, Applied Mathematics, and Film/Television. Research interests include computational creativity, tangible interfaces, and cybernetic systems. Notable projects include 'Explainable Artificial Creativity' (ARC-funded) and 'Building 4.0 CRC,' addressing architectural innovation through AI. He has been recognized with awards for collaborative projects like the Blundstone Intelligent Footwear for Healthcare. McCormack's recent articles explore AI-driven art, generative systems, and interdisciplinary design. His work bridges artistic practice with technical innovation, emphasizing ethical and creative dimensions of human-AI collaboration. SensiLab serves as a hub for practice-based research in digital media and interactive systems. Education: PhD in Computer Science, Monash University (2004) Bachelor of Science (Honours), Computer Science/Applied Mathematics, Monash University (1987) Graduate Diploma in Film/TV, Swinburne University (1986) Bachelor of Science, Computer Science/Applied Mathematics, Monash University (1985) Key Projects: Lead investigator on 'Explainable Artificial Creativity' (2022–2026) Co-investigator in 'Building 4.0 CRC' (2020–2027), exploring AI-driven architectural design Awards: 2022 Designers Australia Award for Blundstone Footwear 2020 'On the Machine Condition' Prize McCormack's lab, SensiLab, fosters collaborations across disciplines, producing exhibitions, software, and theoretical frameworks for computational creativity. He actively supervises PhD students in practice-based research, emphasizing the intersection of art and technology.

• Obsessive-Compulsive Disorder (OCD)
• Cognitive-Behavioral Therapy (CBT)
• Exposure Therapy
• +5 more

Brian Zaboski, PhD, is an Assistant Professor of Psychiatry at the Yale School of Medicine. He holds dual expertise as a licensed Connecticut psychologist and Nationally Certified School Psychologist. His primary academic affiliation is with the Obsessive Compulsive Disorder Research Clinic within the Department of Psychiatry. Dr. Zaboski completed his PhD in School Psychology at the University of Florida, gaining clinical experience across school-based to acute inpatient settings. He specializes in cognitive-behavioral therapy (CBT) and exposure-based interventions for psychological disorders, with particular focus on OCD neurobiology and treatment innovation. His research integrates advanced quantitative methods and translational neuroscience to improve exposure therapy efficacy. Key areas include neurobiological network analysis, machine learning applications for OCD severity prediction, and neurofeedback treatment trials. He leads clinical trials investigating psilocybin therapy, pharmacotherapy combinations, and brain network changes in OCD patients. Dr. Zaboski's work has been funded by prestigious grants including the 2022 Brain & Behavior Research Foundation Young Investigator Award. Collaborations include prominent researchers like Christopher Pittenger, Terence Ching, and Michelle Hampson. His publications span peer-reviewed journals in psychiatry, neuroscience, and school psychology, with a focus on OCD mechanisms, treatment innovation, and school-based mental health interventions. Clinical trials he participates in explore novel treatments like troriluzole and psilocybin while investigating biomarkers for treatment response prediction.