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Xu ZhangView profile

Associate Professor

• Numerical Analysis
• Scientific Computing
• Numerical Methods for Partial Differential Equations
• +6 more

Xu Zhang is an Associate Professor in the Department of Mathematics at Oklahoma State University, where he has been employed since 2019, initially as an Assistant Professor and promoted to Associate Professor in 2022. He is currently serving as the President of the SIAM Central States Section for 2024-2025. His academic journey includes a Golomb Visiting Assistant Professorship at Purdue University (2013-2016) and an Assistant Professor position at Mississippi State University (2016-2019). Dr. Zhang's educational background includes: Ph.D. in Mathematics from Virginia Tech (2013) M.S. in Mathematics from Virginia Tech (2009) M.S. in Computational Mathematics from Sichuan University (2008) B.S. in Computational Mathematics from Sichuan University (2005) Dr. Zhang's research focuses on numerical analysis and scientific computing, with particular emphasis on immersed finite element methods for interface problems. His work addresses both static and moving interface problems, developing innovative numerical techniques that avoid the need for body-fitting meshes. This research has significant applications in computational fluid dynamics, computational plasma physics, and other areas requiring simulations across material interfaces. He has developed methods including immersed finite element methods, partially penalized immersed finite element methods, and immersed weak Galerkin methods, with applications to Navier-Stokes equations, elasticity problems, and plasma-material interactions. Dr. Zhang's scientific contributions have been recognized with several prestigious awards, including: Distinguished Early Career Faculty Award from Oklahoma State University (2023) Ralph E. Powe Junior Faculty Enhancement Award from ORAU (2021) Holistic Science Prize from Oklahoma State University (2021) Dr. Zhang has successfully secured multiple research grants from the National Science Foundation, including DMS-2110833 ($212,822, 2021-2024), DMS-2224003 ($20,000, 2022-2023), and DMS-1720425 ($125,042, 2017-2021). He has mentored several graduate students, including Ph.D. student Derrick Jones (graduated 2021, now at Johns Hopkins University Applied Physics Lab), Ph.D. student Fang Liu (2024-present), and Master's students Hoang Nam Tran (graduated 2024) and Madylan Rusinek (2022-present). He also supervises postdoctoral fellow Dr. Ahmed Zytoon (2024-present). Dr. Zhang actively contributes to the academic community through conference organization, having organized multiple SIAM Central States Section meetings and other specialized workshops on numerical methods for interface problems. He serves on editorial boards for journals including Frontiers in Applied Mathematics and Statistics and has guest-edited special issues for several computational mathematics journals.

• Atmospheric convection
• Severe weather
• Mesoscale processes
• +5 more

Adam Houston is a Professor in the Department of Earth and Atmospheric Sciences at the University of Nebraska-Lincoln, where he has served since 2006 after joining as an assistant professor. His research centers on severe local storms and cloud/mesoscale atmospheric phenomena. Education: Ph.D. in Atmospheric Sciences, University of Illinois at Urbana-Champaign (2004) B.S. in Meteorology, Texas A&M University Dr. Houston's expertise spans atmospheric convection , severe weather , mesoscale processes , and climate diagnostics . He leads the Severe Storms Research Group (SSRG), investigating deep convective initiation, supercell dynamics, and airmass boundary influences using numerical modeling and observational techniques including UAS and Doppler radar. Analysis of recent publications (2023-2025) reveals dominant themes in deep convection initiation mechanisms , supercell thunderstorm dynamics , and UAS-based atmospheric profiling . His work increasingly addresses urban impacts on convection and data assimilation for severe storm forecasting through major field campaigns. Research Infrastructure: Severe Storms Research Group (SSRG) Principal investigator in TORUS, LAPSE-RATE, and SCALES field campaigns NSF-funded collaborative projects including AGS-FIRP Track 1 initiatives

• Geotechnical Engineering
• Environmental Geotechnology
• Unsaturated Soil Mechanics
• +3 more

Dr. Rajesh Sathiyamoorthy is an Associate Professor in the Department of Civil Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specialising in Geotechnical Engineering. Since joining IIT Kanpur in 2011, he has built a strong research portfolio, secured competitive funding, and received numerous accolades for his contributions to environmental geotechnology and unsaturated soil mechanics. Education PhD, Indian Institute of Technology Bombay, India (2010) M.E., College of Engineering Guindy, Anna University, India (2002) B.E., Vellore Engineering College, University of Madras, India (2000) Research Interests Dr. Sathiyamoorthy’s research is centred on the behaviour of unsaturated soils, environmental geotechnics, and innovative ground-improvement techniques. His work employs advanced numerical and physical modelling to address challenges in landfill barrier design, soil–structure interaction, and performance of geosynthetically reinforced systems. A distinctive feature of his investigations is the integration of field-scale problems with controlled laboratory and centrifuge testing, coupled with state-of-the-art computational tools. Scientific Awards & Fellowships IEI Young Engineers Award 2013-2014 (Civil Engineering) – The Institution of Engineers (India) Talented Young Scientist Fellowship 2019 – Ministry of Science and Technology, China Distinguished Alumni Award 2019 (Academic & Research) – VIT University Best Paper Awards (Environmental Geotechnology) – Indian Geotechnical Society, 2019 & 2015 Best Paper Award – International Geotechnical Engineering Conference on Sustainability 2016 IGS Prof. A.V. Shroff Biannual Award 2013 – Indian Geotechnical Society International Geosynthetics Society Student Award 2012 – IGS, USA Best Paper Award 2010 – Geotextiles and Geomembranes Research Funding & Collaborations Dr. Sathiyamoorthy has successfully led multiple sponsored projects worth several crores of rupees from agencies such as SERB-DST, BRNS-DAE, Shanghai Council of Science & Technology, RDSO Lucknow, and PAAB-MHRD. These projects span centrifuge modelling of embankments on encased stone columns, hydro-mechanical behaviour of compacted soils, reliability-based assessment of landfill slopes, and field validation of stabilised subgrade materials for pavements. His international collaboration includes joint research at Tongji University, Shanghai, under the Talented Young Scientist Fellowship. Laboratories & Teams He heads experimental activities in the Geotechnical Engineering Laboratory at IIT Kanpur, where his group maintains specialised equipment for unsaturated soil testing, geosynthetic evaluation, and centrifuge modelling. The research team comprises doctoral scholars, master’s students, and project staff working on inter-related themes of environmental geotechnology and ground improvement.

Helle F JørgensenView profile

Associate Professor

• Vascular Biology
• Cardiovascular Disease
• Atherosclerosis
• +5 more

Helle F Jørgensen is an Associate Professor at the University of Cambridge, based at the Victor Phillip Dahdaleh Heart and Lung Research Institute (VPD-HLRI). She is a Principal Investigator in the Cardiovascular and Respiratory Medicine (CaRM) section of the Department of Medicine and a key member of the Cambridge Cardiovascular Interdisciplinary Research Centre and the British Heart Foundation (BHF) Cambridge Centre of Excellence. Dr. Jørgensen earned her PhD in molecular biology from Aarhus University in 2000 under Professor Brian Clarke. Her postdoctoral training included research on DNA-methylation-binding factors with Professor Sir Adrian Bird at the University of Edinburgh and investigations into transcription factors and epigenetic mechanisms in embryonic stem cell maintenance with Professor Dame Amanda G Fisher at the London Institute of Medical Research. Her research focuses on vascular smooth muscle cell (VSMC) plasticity and heterogeneity in vascular health and disease. She has demonstrated that a small number of pre-existing VSMCs undergo extensive proliferative expansion to generate the majority of cells in atherosclerotic lesions, with similar clonal expansion observed in other vascular disease models. Using single-cell transcriptome profiling, her group has revealed substantial VSMC heterogeneity both in lesions and healthy arteries. This work has significant implications for understanding VSMC behavior and developing selective targeting strategies for disease-associated VSMCs. Her laboratory employs single-cell approaches, lineage tracing, and global epigenetic profiling to study how gene expression programs are regulated and impact phenotypic plasticity in genetic disease models and human tissue. They investigate how VSMCs contribute to atherosclerosis development, the disease underlying heart attack and stroke, with focus on how these cells downregulate their contractile phenotype in response to injury and inflammation. British Heart Foundation Senior Basic Science Research Fellow Dr. Jørgensen's work has important translational implications for cardiovascular medicine. Her research on VSMC heterogeneity and clonal expansion provides critical insights into atherosclerosis pathogenesis and identifies potential therapeutic targets. As part of the BHF Cambridge Centre of Excellence, her research contributes to the broader mission of improving cardiovascular and lung health worldwide through collaborative research across university, NHS, commercial, and charitable sectors. The Jorgensen Group operates within the Victor Phillip Dahdaleh Heart and Lung Research Institute, a state-of-the-art facility that brings together researchers and clinicians to advance understanding of cardiovascular and respiratory diseases. Her work bridges fundamental molecular mechanisms with clinical applications in vascular medicine.

Hyeonchang GimView profile

Assistant Professor

• Intergroup Communication
• Intergroup Relations
• Prejudice Mitigation
• +3 more

Hyeonchang Gim is an Assistant Professor in the Department of Communication at the University of North Dakota within the College of Arts and Sciences. His research focuses on intergroup communication, exploring how mediated and interpersonal interactions influence social attitudes and relationships. Education: Ph.D. in Communication (University of Arizona, 2024) Graduate Certificates: Natural Language Processing (2024), College Teaching (2023), Computational Social Science (2022) His work examines communication technologies and cultural messages, particularly analyzing music's role in cross-group understanding. Recent studies investigate: Mediated contact mechanisms through music and language learning Cultural adaptation challenges during study abroad experiences Music's dual role in both facilitating and hindering intergroup communication Language accommodation in film translation Social media discourse around public health crises Research spans communication theory, applied psychology, and cultural studies, with publications in Communication Monographs , Media Psychology , and related journals.

Miriam Stefania DE ROSAView profile

Associate Professor

• Film Studies
• Media Philosophy
• Artistic and Experimental Moving Images
• +5 more

Miriam Stefania DE ROSA is an Associate Professor in the Department of Philosophy and Cultural Heritage at Ca' Foscari University of Venice, specializing in cinema, photography, and television. Previously, she served as Senior Lecturer at Coventry University (2016-2020) and taught at Catholic University of Milan/Brescia and University of Insubria (2009-2016). She founded the Cinema & Contemporary Visual Arts (CCVA) working group of NECS and chairs its committee. Research Focus : Film theory, media philosophy, experimental moving images, and domestic space in cinema. Current Projects : Exploring 'desktop cinema,' interface aesthetics, and gestural analysis in film. Her publications include Cinema e Postmedia (2013) and Post-what? Post-when? (2017), reflecting her work on post-cinema conditions and media archaeology. She is a DAAD Research Fellow (2014) and leads MUR-funded projects like ARTCHAE and Film Base Matters. De Rosa supervises PhD and thesis students on topics spanning artist films, found footage, and screen media studies.

Youngmoo KimView profile

Professor

• Machine Learning
• Audio Signal Processing
• Human-Computer Interaction
• +5 more

Youngmoo Kim is Professor of Electrical and Computer Engineering at Drexel University, where he directs the Expressive and Creative Interactive Technologies (ExCITe) Center. His leadership extends to the Music & Entertainment Technology Laboratory (MET-lab), focusing on machine listening, robotics for expressive interaction, and STEM education through music technology. Education: PhD, Media Arts & Sciences, MIT (2003) MS, Electrical Engineering, Stanford University MA, Music, Stanford University BS, Engineering, Swarthmore College BA, Music, Swarthmore College Research Focus: Kim's interdisciplinary work bridges audio signal processing, machine learning for music information retrieval, human-robot interaction, and acoustic synthesis. His lab develops novel interfaces including brain-controlled robotics, augmented instruments, and AI-driven music systems, while championing K-12 STEAM education through technological innovation. Publication Trends: Recent articles demonstrate strong convergence of deep learning with music technology, particularly in neural audio synthesis, instrument recognition, and robotic control systems. Emerging themes include differentiable physical modeling of instruments, neuroadaptive interfaces using fNIRS/tDCS, and computational approaches to creative collaboration. Awards & Honors: 2021 College of Engineering Inclusive Excellence Award 2013 Apple Distinguished Educator 2012 Lindback Foundation Distinguished Teaching Award 2012 Philadelphia Geek Awards Scientist of the Year 2007 NSF CAREER Award Leadership & Funding: Kim has secured research support from the National Science Foundation and Knight Foundation. His ExCITe Center serves as an interdisciplinary hub for creative technology development, while MET-lab advances audio-machine intelligence through collaborations across engineering, computer science, and performing arts.

Marco PortaView profile

Professor

• Computer Vision
• Human-Computer Interaction
• Eye Tracking
• +4 more

Marco Porta is a Full Professor at the University of Pavia, Department of Electrical, Computer and Biomedical Engineering. He teaches Web and Multimedia Technologies in the Computer Engineering Master's program and Web Design and Technologies in the interdepartmental CIM Bachelor's program. His research focuses on Eye Tracking, Vision-Based Perceptive Interfaces, and Human-Computer Interaction, with recent emphasis on AI applications for human-centered systems. He leads the Computer Vision & Multimedia Lab and chairs teaching councils for CIM and CoD programs. Education: Master's in Electronic Engineering (Polytechnic of Milan) and Ph.D. in Electronic & Computer Engineering (University of Pavia). Professional roles include vice-chair of IEEE's Technical Committee on Factory Automation. Over 118 publications in journals/conferences, with contributions to biometrics, e-learning interfaces, and industrial automation. Research highlights include gaze-based authentication systems, interactive museum interfaces, and ergonomic in-vehicle infotainment evaluations. Current projects explore gaze-driven intelligent tutoring systems and public space interaction frameworks.

• Evolutionary Biology
• Molecular Phylogenetics
• Comparative Evolutionary Studies
• +12 more

Rebecca Kimball is a Professor in the Department of Biology at the University of Florida , focusing on evolutionary biology through molecular techniques and field research. Her work spans three primary areas: phylogenetics for comparative studies, microevolutionary processes like mating systems and sexual selection, and linking genomic changes to organismal evolution. Education : Ph.D. (University of New Mexico, 1995) Research Themes : Phylogenetic reconstruction, genome-phenome mapping, sensory system evolution, and avian diversification. Her lab, the Braun-Kimball Lab , trains students in phylogenetics, computational biology, and population genetics. Current projects include galliform evolution, chemosensory systems in vultures, and hybridization studies in paradise flycatchers. She collaborates on NSF-funded phylogenomic initiatives and emphasizes rigorous lab practices, including long-term commitments for researchers and interdisciplinary training. Scientific Awards : No explicit awards listed, but her lab receives external grants (e.g., NSF, University Scholars Program). Advising & Grants : Mentors numerous graduate and undergraduate researchers. Lab members often co-author publications and pursue independent projects. Grants focus on phylogenomic tools and avian evolutionary questions. Labs & Teams : Leads the Braun-Kimball Lab, which engages in global collaborations (e.g., Field Museum, New York State Museum) and interdisciplinary work in genomics and ecology.

• Business Analytics
• Operations Research/Management
• Operational Analytics
• +7 more

Mehdi Toloo is a Reader in Business Analytics at the University of Surrey's Surrey Business School. He holds a BSc, MSc, and PhD, and is a docent. Previously, he was a Professor at Technical University of Ostrava (Czech Republic) and Sultan Qaboos University (Oman). His research focuses on Business Analytics, Operations Research, Data Envelopment Analysis (DEA), and Decision Analysis. He has supervised over 40 postgraduate students and contributed to top-tier journals like European Journal of Operational Research and Omega. He is an editor for journals including Computers & Industrial Engineering and Decision Analytics. Recognized globally, he ranks in the top 2% of scientists worldwide in Business Analytics & Operations Research (2020-2024). His research projects include performance evaluation with unclassified factors, economies of scope in network DEA, and selective measures in DEA. He collaborates internationally on projects like robust optimization and supply chain sustainability. His teaching spans undergraduate courses in Operations Research, Mathematics for Business, and Programming, alongside postgraduate modules on Quantitative Methods and Advanced DEA. His work bridges theoretical and applied research, with applications in healthcare, renewable energy, and public policy.

Gijs HuismanView profile

Researcher

• Human-Centered Design
• Haptics Technology
• Affective Computing
• +3 more

Dr. Gijs Huisman is a researcher at the Delft University of Technology's Industrial Design Engineering faculty, specializing in Human-Centered Design and Perceptual Intelligence. His work focuses on haptics technology, mediated social touch, and multisensory interaction design. He leads projects like Dark Haptics and ShareYourReality , exploring haptic feedback in mobile interfaces and virtual avatar co-embodiment. His research bridges disciplines such as material science, cognitive science, and ethics to design inclusive technologies. Key Areas : Haptic wearables, affective computing, food interaction, and ethical AI. Recent Work : Investigating shape-memory alloys for assistive devices and developing tools for studying digital social touch ethics. Collaborations : Active in transdisciplinary teams addressing DEI in robotics and universal design. His research emphasizes practical applications in healthcare (e.g., fidget devices for stress reduction) and consumer products (e.g., aesthetically pleasing headphones). He teaches the Dare to Design Studio course, fostering innovative design thinking. Though no formal awards are listed, his prolific publication record (over 80 articles) demonstrates sustained impact in haptics and HCI fields. He actively engages with industry collaborations through TU Delft's research labs and graduate programs.

Cheng Zhi HuangView profile

Assistant Professor

• Artificial Intelligence
• Music Technology
• Computer Science
• +4 more

Cheng Zhi Huang is the Robert N. Noyce Career Development Professor and Assistant Professor at MIT, holding a shared appointment between the departments of Music and Theater Arts and Electrical Engineering and Computer Science (EECS). His work bridges artificial intelligence, music technology, and computer science to advance human-AI collaboration in musical creativity. Huang leads research in generative models for music composition, real-time interactive systems, and expressive performance synthesis. His contributions include tools like ReaLJam for AI-assisted jamming and the MAESTRO dataset for piano performance modeling. His research interests span AI-driven music generation, human-AI interaction frameworks, and culturally-aware music technologies. Notable projects include The Bach Doodle—an accessible web-based composition tool—and MIDI-DDSP for detailed performance control. Huang’s work emphasizes ethical and creative applications of AI in arts, fostering collaborations between musicians, engineers, and computer scientists. His publications highlight advancements in hierarchical generative modeling, source separation techniques, and co-creation interfaces for novices. Huang’s research has been showcased in venues like TISMIR and IEEE conferences, reflecting his interdisciplinary impact on music technology and machine learning.

Xiuyuan ChengView profile

Associate Professor

• Applied Mathematics
• High-Dimensional Data Analysis
• Signal Processing
• +4 more

Xiuyuan Cheng is an Associate Professor of Mathematics at Duke University, affiliated with the Trinity College of Arts & Sciences. Her expertise lies in applied analysis, focusing on developing theoretical and computational techniques for high-dimensional data analysis, signal processing, and machine learning. She holds a Ph.D. from Princeton University (2013). Her research emphasizes graph-based methods, kernel techniques, and deep learning applications in manifold data analysis. Notable contributions include work on graph Laplacian convergence, optimal transport for single-cell data, and rotation-equivariant neural networks. She has received grants from the National Science Foundation, including a CAREER award (2023–2028) for learning graph diffusion from high-dimensional data. Recent publications explore topics such as bi-stochastic graph normalization, neural tangent kernels, and adversarial defense using basis transformations. Teaching includes advanced courses like Measure and Integration and High-Dimensional Data Analysis. She collaborates extensively in interdisciplinary projects, integrating mathematical theory with computational tools for real-world applications.

Jason Jeffrey JonesView profile

Associate Professor

• Computational Social Science
• Social Networks
• Ipseology
• +6 more

Jason Jeffrey Jones is an Associate Professor in the Department of Sociology and Institute for Advanced Computational Science at Stony Brook University. He earned his Ph.D. from UC San Diego in 2011 and directs CSSERG (Computational Social Science of Emerging Realities Group), a research team focused on cross-disciplinary computational methodologies to study emerging social phenomena. His research interests center on computational social science, with specific expertise in online experiments, social networks, high-throughput text analysis, and machine learning. Dr. Jones is particularly known for pioneering work in "Ipseology" - the scientific study of how individuals describe themselves, especially through digital platforms. His work examines humans' perceptions of themselves and the developing role of artificial intelligence in society, with recent focus on measuring identity trends through social media platforms like Twitter. Dr. Jones' research has been published in numerous peer-reviewed journals including Nature, PLOS ONE, and Sociological Science, with work cited thousands of times. His findings have received significant media attention, appearing in the New York Times, The Atlantic, Sports Illustrated, and the Washington Post. His recent publications track LGBTQ visibility on Twitter, political identity expression, occupational identity evolution, and public attitudes toward AI. Stereotypical gender associations in language have decreased over time Effectiveness of virtual reality in evoking empathy Dynamics of gender stereotypes in language over decades Temporal trends in personally expressed identity Dr. Jones has also conducted notable research on social influence and political mobilization, including a landmark 61-million-person experiment during the 2012 US presidential election. His work on the relationship between political-party affiliation and behavior on dating sites like Ashley Madison has generated significant academic discussion. He is the author of the recently published book "Ipseology - A New Science of the Self" and maintains an active research presence through his website and social media channels.

Lindsey D. CameronView profile

Assistant Professor

• Algorithmic Management
• Gig Economy
• Future of Work
• +5 more

Lindsey D. Cameron is an Assistant Professor of Management at the Wharton School and holds a secondary appointment in Sociology at the University of Pennsylvania’s School of Arts & Sciences. She is a Dorinda and Mark Winkelman Distinguished Faculty Scholar, and a member of the Institute for Advanced Study and the Berkman Klein Center for Internet & Society at Harvard University. Her research focuses on algorithmic management’s impact on workplaces, particularly in the gig economy, and its implications for labor dynamics, worker well-being, and organizational control. Professor Cameron’s academic journey includes a PhD in Management from the University of Michigan, an MS in Engineering Management from George Washington University, and an SB in Electrical Engineering and Computer Science from Harvard University. Her prior career spanned over a decade in U.S. intelligence and diplomatic roles, including overseas assignments in the Middle East, Africa, and Europe. She has conducted a seven-year ethnography of the ride-hailing industry and studies the effects of the pandemic on gig workers across platforms like Uber, Instacart, and Amazon Flex. Research Interests: Her work explores the gig economy’s future, algorithmic governance, worker activism, mindfulness practices in the workplace, and global labor dynamics. She employs ethnographic methods, longitudinal interviews, and field experiments, with research published in journals like Organization Science and Journal of Applied Psychology . Her findings have been featured in media such as Bloomberg , NPR , and the World Economic Forum . Awards & Recognition: She has received Best Paper Awards and teaching accolades, supported by funding from institutions like the Mack Institute for Innovation and the Data & Society Research Institute. Her speaking engagements include Harvard, MIT, and Fortune 500 companies, alongside legislative testimony and expert witness roles in litigation. Teaching & Mentorship: While no specific student names are listed, her work involves advising on platform labor policies and workplace interventions. She advocates for mindfulness and non-dual awareness practices in professional settings, blending technical and humanistic approaches to organizational challenges.