Find Academic Supervisors

Jol ThomsView profile

Lecturer

• Art and Ecology
• Environmental Humanities
• Quantum Field Theory
• +7 more

Jol Thoms is a Studio Lecturer at Goldsmiths, University of London, within the Department of Art. His practice spans art, sound design, and research, focusing on transdisciplinary approaches that merge environmental humanities, quantum field theory, and Indigenous knowledge systems with creative ethics. Research Interests: Thoms investigates sentient landscapes and ethical engagement with non-human entities. His work bridges Western scientific frameworks with mysticism, non-duality, and feminist anti-colonial science studies, often involving fieldwork in remote environments like the Pacific Ocean and dark matter laboratories. He advocates for radical pluralities of knowledge practices to address anthropocentric exploitation. Selected Publications: His notable works include Doubling Down on Wicked Problems (2022), which explores oceanic ArtScience collaborations, and Diffractive Aesthetics & Holographic Literacies (2021), which integrates quantum physics with artistic critique. He also contributed to The Anthropocene Review (2017) and The Live Creature and Ethereal Things (2018). Scientific Awards: MERU Art*Science Award Ed. IV (2016) Grants: Thoms received multiple Project to Realization Grants from the Canada Council for the Arts (2021, 2022) and a Creating Earth Futures Grant (2018) from Royal Holloway University's Centre for the GeoHumanities. Exhibitions & Collaborations: His projects include Radio Amnion , which transmits sound to the Pacific Ocean during full moons, and participation in the Drift: Art and Dark Matter residency (2020-2022). He has exhibited globally, including at the Venice Biennale (2024), McaM Shanghai (2023), and RADIUS Centre for Contemporary Art and Ecology (2023).

Sabine SchillingView profile

Lecturer

• Statistics
• Machine Learning
• Numerical Simulations
• +3 more

Dr. Sabine Schilling is a Lecturer at the Lucerne School of Business, part of Lucerne University of Applied Sciences and Arts, affiliated with the Institute of Tourism and Mobility (ITM). She holds a PhD in Theoretical Particle Physics from the University of Zurich and studied physics at the University of Heidelberg. Her research focuses on interdisciplinary applications of statistics , machine learning , and numerical simulations , with particular emphasis on biomedical challenges like intracranial aneurysm analysis. Key areas include: Morphological quantification of vascular structures Hemodynamic modeling of blood flow Genome-wide association studies for neurological disorders Development of computational biology frameworks She maintains active software development contributions, including the R package visStatistics for automated statistical test visualization. Her teaching portfolio includes courses in descriptive statistics.

Chi-Ren ShyuView profile

Professor

• Biomedical Informatics
• Geospatial Informatics
• Quantum Computing
• +7 more

Chi-Ren Shyu is a Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, where he also serves as Associate Dean for Graduate Education and Strategic Initiatives and Director of the MU Institute for Data Science and Informatics (MUIDSI). The institute unites 68 interdisciplinary faculty from 24 departments, supporting over 140 graduate students in data science and informatics programs with emphases in bioinformatics, health informatics, and geospatial informatics. PhD, Purdue University MS, Purdue University BS, Feng Chia University Dr. Shyu's research spans biomedical informatics, explainable AI, quantum computing, cybersecurity, and spatial big data analytics . His work integrates artificial intelligence with public health, precision medicine, and rural health coordination. He has led initiatives in blockchain-based clinical trial matching, AI for Type 1 diabetes, and geospatial platforms for socioeconomic and health data visualization. The recent publications reflect a strong trend in interdisciplinary, data-driven health research , combining AI, blockchain, and quantum computing to solve real-world problems in healthcare, security, and public policy. His work emphasizes scalability, explainability, and ethical deployment of technologies. Scientific honors include: National Science Foundation CAREER Award Fellow of the American College of Medical Informatics (FACMI) Fellow of the American Medical Informatics Association (FAMIA) Mizzou Alumni Association Faculty Alumni Award (2022) UM System President’s Leadership Award Multiple teaching and research awards Dr. Shyu is Principal Investigator of Mizzou’s NSF CyberCorps SFS program ($3.6M), which provides full scholarships for cybersecurity students committed to public service. He has mentored numerous trainees who have gone on to make significant contributions in informatics. His leadership in establishing interdisciplinary programs and securing major grants underscores his role as a key academic innovator. He leads the MU Institute for Data Science and Informatics, which functions as a central hub for data-driven discovery across precision medicine, agriculture, behavioral science, and rural health. The institute fosters collaboration among 22 schools and departments, promoting team-based research and education in emerging technologies.

Jordan HarshmanView profile

Associate Professor

• Graduate Education in Chemistry
• STEM Instructional Practices
• Robust Statistics in Education Research
• +3 more

Jordan Harshman is an Associate Professor in the Department of Chemistry and Biochemistry at Auburn University. He holds the C. Harry Knowles Associate Professorship and has served since 2023. Previously, he was an Assistant Professor at Auburn (2017–2023), a postdoctoral scholar at the University of Nebraska-Lincoln and University of Iowa, and a visiting assistant professor at the University of Iowa. His research focuses on graduate education reform in chemistry, STEM instructional practices, and advancing statistical methods in education research. Notable projects include developing the COPUS observation protocol for undergraduate STEM classrooms and co-founding the CHIRAL instrument library. His work emphasizes evidence-based approaches to improve teaching effectiveness and graduate student preparedness for diverse career paths. He teaches introductory chemistry and courses on R programming for data analysis. His lab develops tools like the COPUS Analyzer website to provide educators with actionable classroom feedback. He advocates for robust statistical practices using R in chemistry education research. Harshman has published extensively in journals like Science, CBE Life Sciences Education, and Journal of Chemical Education. His research is supported by grants focusing on educational equity, faculty development, and curriculum innovation. He collaborates widely with institutions like the University of Virginia and Portland State University on national education initiatives.

Katja Stefanie EngstlerView profile

Researcher

• Mathematical Models
• Mathematics in Art
• Physics Education
• +3 more

Katja Stefanie Engstler is a Researcher at the Institute of Geometry and Topology within the Faculty of Mathematics & Physics at the University of Stuttgart. She specializes in bridging mathematical and physical concepts with artistic expression through public engagement projects. Her key roles include coordinating the university's scientific collections and co-developing the 'Forms and Forces' educational tour, which explores mathematical-physical principles in campus artwork with Prof. Markus Stroppel and Dr. Marc Scheffler. Engstler holds a Dipl.-Wirt.-Ing. (FH) engineering degree and actively contributes to interdisciplinary initiatives like the 2025 Quantum Science & Art project. Her work focuses on making complex scientific ideas accessible through visual and spatial installations. She manages the Collection of Mathematical Models and serves as a liaison for the university's Sammlungsnetzwerk (collection network), promoting cross-disciplinary resource sharing. Engstler's publications emphasize curatorial practices in STEM fields and the role of physical models in education. She collaborates on projects linking architecture, public art, and academic research, exemplified by her work on scaling phenomena in geometric structures and the historical documentation of computing devices. Her research interests span university collections management, educational outreach, and the intersection of art with mathematical/physical sciences. Engstler's contributions are integral to Stuttgart's efforts in making academic knowledge visible through tangible and accessible formats.

R. Bruce WeismanView profile

Professor

• Spectroscopy
• Imaging
• Nanotechnology
• +4 more

R. Bruce Weisman is a Professor of Chemistry and Materials Science and NanoEngineering at Rice University, serving as Associate Chair for Teaching in the Department of Chemistry. His research focuses on spectroscopy and photophysics of fullerenes and carbon nanotubes, with applications in biomedical imaging, structural health monitoring, and analytical nanotechnology. He leads the Weisman Research Group, based in George R. Brown Hall, and collaborates with interdisciplinary teams across Rice’s Smalley-Curl Institute and Institute of Biosciences and Bioengineering. Education: B.A. Johns Hopkins University (1971), Ph.D. University of Chicago (1977), Postdoc University of Pennsylvania (1977-1979) Awards: APS Fellow (2008), ECS Fellow (2012), AAAS Fellow (2015) Research interests include nanotube fluorescence, SWIR spectroscopy, and strain-sensing technologies using nanotube-based smart skins. His work bridges fundamental physics and applied engineering, with over 200 peer-reviewed publications and pioneering discoveries like the first observation of nanotube fluorescence. Key projects: Variance spectroscopy for nanotube analysis, spectral triangulation for in vivo imaging, and strain paint for non-contact structural monitoring. Current students include Yu Zheng, Vanessa Espinoza, and Kunhua Lei.

• Computational condensed matter physics
• Large-scale high-performance quantum computations
• New paradigms in quantum matter
• +6 more

Professor Zi Yang Meng is a theoretical and computational physicist at the Department of Physics, University of Hong Kong , with prior affiliation at the Institute of Physics, Chinese Academy of Sciences . He earned a B.Sc. from University of Science and Technology of China , and M.Sc. and Ph.D. from University of Stuttgart , followed by postdoctoral work in the US and Canada. His research focuses on quantum many-body simulations to study quantum materials, topological phases , and entanglement phenomena . His work spans quantum phase transitions , non-Fermi liquid behavior , and dynamical signatures in quantum magnets , with over 140 publications and ~7000 citations. He develops numerical methods for constrained lattice models and Rydberg atom arrays , addressing challenges in high-temperature superconductivity and quantum computer building blocks . Recent grants include Collaborative Research Fund (CRF) 2022/23 and General Research Fund (GRF) projects for quantum moiré materials and entanglement computation . Research Grants: CRF C7037-22G (2022): Many-body paradigm in quantum moiré material research GRF 17302223 (2023): Novel phases of Rydberg arrays GRF 17301924 (2024): Precise computation of quantum entanglement Supervision: PhD students in computational quantum physics, 2D materials, and condensed matter theory Projects on topics like fractional Chern insulators , dimension-tunable quantum systems , and disorder operators Collaborations: Prof. Kai Sun (University of Michigan) Prof. Han-Qing Wu (Sun Yat-sen University) International teams from CUHK, Yale, UCSB, and German institutions He actively contributes to knowledge exchange via public lectures and science communication , and serves on editorial boards for journals like Reports on Progress in Physics . Upcoming conferences include "Fractional Chern Insulators: Theory, Numerics, and Experiment" (2025) at HKU, where he chairs the organizing committee.

Bahareh TolooshamsView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Computational Neuroscience
• +7 more

Bahareh Tolooshams is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alberta, where she leads the NeuBahar Lab (Neuro–Bayesian AI for Human-interpretable Abstractions and Representation Learning). She is also a Fellow at the Alberta Machine Intelligence Institute (Amii), a world-leading AI institute, and a member of the Neuroscience and Mental Health Institute (NMHI). Her educational background includes a PhD from Harvard University (School of Engineering and Applied Sciences, May 2023), where she was affiliated with the Center for Brain Science, and a BASc with distinction from the University of Waterloo's Department of Electrical and Computer Engineering. Prior to joining the University of Alberta, she completed a postdoctoral fellowship at Caltech's AI for Science Lab, supported by the Swartz Foundation Fellowship for Theoretical Neuroscience. Dr. Tolooshams' research bridges machine learning, neuroscience, and signal processing, with a focus on developing interpretable AI systems that can provide mechanistic insights into neural computation. Her work centers on sparse representations, Bayesian methods, neural operators, and developing methods for analyzing neural signals and biological data. She has made significant contributions to dictionary learning, unrolled optimization networks, and physics-informed deep learning for inverse problems. Her recent publications demonstrate a strong trend toward developing interpretable deep learning models for neuroscience applications, particularly focusing on sparse coding frameworks that provide mechanistic insights into neural computation. She has pioneered approaches that bridge theoretical neuroscience with practical deep learning techniques, creating models that are both powerful and interpretable for understanding brain function and processing biological signals. Scientific Awards and Recognition Tianqiao and Chrissy Chen Brain-Machine Interface Grant Award at Caltech (2025) Rising Stars Award in Conference on Parsimony and Learning (2023) Rising Star in UChicago Data Science (2023) Swartz Foundation Fellowship for Postdoctoral Research in Theoretical Neuroscience (2023) AWS Machine Learning Research Awards (2019) QBio Student Fellowship (2019) QBio Student Award Competition Fellowship (2018) Dr. Tolooshams is actively involved in mentoring and community building, having participated in the Women in STEM Mentorship program at Harvard and the InTouch peer-to-peer support network for graduate students. She has co-initiated the NeurReps Global Speaker Series and served on the organizing team for the NeurReps workshop at NeurIPS. Her current research at the University of Alberta focuses on developing neuro-Bayesian AI approaches for creating human-interpretable representations that can provide insights into both artificial and biological intelligence. The NeuBahar Lab, under her leadership, is developing cutting-edge methodologies that combine Bayesian inference with deep learning to create models that not only perform well but also provide interpretable insights into the underlying data structures, with applications spanning neuroscience, medical imaging, and computational biology.

Markus GührView profile

Professor

• Quantum Mechanics
• Free-Electron Lasers
• Energy Conversion
• +4 more

Markus Gühr is a Senior Scientist at Deutsches Elektronen-Synchrotron (DESY) and a Professor of Physical Chemistry at the University of Hamburg. He serves as the Scientific Director of FLASH, the world's first SASE X-ray laser, which operates as a user facility since 2005 and is undergoing enhancements via the FLASH2020+ extension project. His research focuses on visualizing the interplay of nuclei and electrons in molecules through quantum mechanics, with a specialty in converting sunlight into other forms of energy. He aims to expand FLASH’s capabilities to explore new scientific fields and attract diverse users. 2022–present: Senior Scientist at DESY, Professor of Physical Chemistry at the University of Hamburg 2020–2022: Professor of Experimental Quantum Physics, University of Potsdam 2015–2020: Lichtenberg Professor, University of Potsdam (funded by Volkswagen Foundation) 2007–2015: Scientist at SLAC National Accelerator Laboratory, USA 2006–2007: Postdoc at Stanford University 2001–2005: Research Associate at Free University of Berlin Key Awards : LCLS Advisory Board Chair (2020–2022) U.S. DOE Early Career Grant (2011) Volkswagen Foundation Lichtenberg Professorship (2015) Feodor Lynen Scholarship (2006–2007) Ernst Reuter Prize for Best Dissertation, Free University of Berlin (2005) Markus Gühr’s work bridges quantum mechanics, molecular energy conversion, and advanced photon science through his leadership in free-electron laser development at DESY.

• Machine Learning
• Computer Vision
• Data Visualization
• +8 more

Antonio Costantino Marceddu is a Research Fellow in Computer Engineering at the Polytechnic University of Turin's Department of Control and Computer Science (DAUIN). His research focuses on machine learning, computer vision, data fusion, and advanced data visualization techniques with applications in aerospace and environmental monitoring. Research Fellow at DAUIN PhD in Computer Engineering Focus on sensor data visualization and analysis Research interests span multiple domains: Augmented reality applications Fiber Bragg Grating sensor systems Quantum computing implementations Computer vision and image analysis Structural health monitoring His recent publications (2021-2025) demonstrate expertise in: Developing visualization systems for aerospace sensor data Innovative approaches to mask detection challenges Quantum adaptations for gaming applications Thermal property monitoring using optical sensors Soil moisture prediction with neural networks Marceddu has collaborated extensively with Professor Bartolomeo Montrucchio and colleagues across multiple research lines, contributing to advancements in real-time data monitoring systems and multivariate analysis applications.

• IoT Systems
• Environmental Monitoring
• Sensor Technology
• +3 more

Peter Chiavassa is a Lecturer at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino, where he teaches Algorithms and Object-Oriented Programming and collaborates in Computer Science courses for Aerospace and Film and Media Engineering programs. His research focuses on IoT systems for environmental monitoring , particularly in indoor spaces, with a strong emphasis on multi-sensor device development and data quality improvement for air quality and comfort assessment. Research Highlights Specializes in Indoor Environmental Quality (IEQ) monitoring systems Developed low-cost IoT architectures for real-time environmental feedback Explores quantum computing applications in network function optimization Publication Trends Focus on sensor calibration and metrological traceability Work on duty-cycle optimization for PM monitoring Development of secure computing systems using ARM TrustZone

Cho-Jui HsiehView profile

Associate Professor

• Machine Learning
• Deep Learning
• Optimization Algorithms
• +4 more

Cho-Jui Hsieh is an Associate Professor of Computer Science at the University of California, Los Angeles (UCLA) in the Henry Samueli School of Engineering and Applied Science. He also serves as a research scientist at Google. Previously, he was an Assistant Professor at UC Davis Computer Science and Statistics for three years and a visiting scholar at Google since summer 2018. Dr. Hsieh received his Ph.D. from UT Austin under the supervision of Prof. Inderjit Dhillon and his Master's degree from National Taiwan University under Prof. Chih-Jen Lin. His research focuses on developing new algorithms and optimization techniques for large-scale machine learning problems. His current work emphasizes improving model size, training speed, prediction speed, and robustness of deep learning models. He is particularly known for his contributions to neural network verification , adversarial robustness , and optimization algorithms for machine learning. Dr. Hsieh has co-authored the book "Adversarial Robustness for Machine Learning" with Dr. Pin-Yu Chen. His research trends show a strong emphasis on formal verification of deep neural networks, robustness certification, and optimization techniques for both traditional machine learning models and large language models. Recent work explores multimodal learning, neural network verification with branch-and-bound techniques, and certified training approaches. Frontiers of Science Award (2023) Okawa Research Award (2021) Outstanding Paper Award, ICLR (2021) Google Research Scholar Award (2021) NSF Career Award (2021) Samsung AI Researcher of the Year (2020) Dr. Hsieh has supervised numerous PhD students, both current and former, many of whom have gone on to become assistant professors at prestigious institutions or work at leading AI companies like OpenAI, Meta, and Mistral AI. His research has been supported by various grants including the NSF Career Award. He leads a research group focused on machine learning algorithms and has developed several widely-used software tools including Distributed Kernel SVM and Asynchronous Kernel SVM. His current research directions include advancing neural network verification techniques, improving the robustness of large language models, and developing more efficient training algorithms for deep learning models.

Sabela GrimesView profile

Associate Professor

• Hip-Hop Studies
• Dance History
• Improvisation
• +8 more

Sabela Grimes is an Associate Professor at the Glorya Kaufman School of Dance within the University of Southern California. As a trans-media storyteller, sonic ARKivist, and movement composer, his creative practice centers on improvisational systems and collaborative methodologies, drawing from socio-historical observation, self-examination, and speculative narratives. His work explores themes like the poetics of assemblage, quantum Blackness, and the interplay of ritual and community in dance. Key Projects : Ritual Embrace, Parable of Portals, Philly XP, World War WhatEver Artistic Approach : Integrates sonic, visual, and kinesthetic elements; emphasizes DIY/DIWO (Do It With Others) principles Research Interests span Black vernacular dance traditions, Hip-Hop/Street dance forms, sacred geometry in movement (e.g., golden spirals), and water as a metaphor for embrace. His pedagogical framework, Funkamental MediKinetics , merges dance training with spiritual practices and community building. Scientific and Artistic Recognition : 2023 USC Associates Award for Artistic Expression 2021 Bessie Award for Outstanding Performer 2017 County of Los Angeles Performing Arts Fellowship 2014 United States Artists Rockefeller Fellowship

Igor WeberView profile

Professor

• Biochemistry and Molecular Biology
• Biophysics and Medical Physics
• Cell Motility
• +4 more

Igor Weber is a Professor and Head of the Laboratory of Cell Dynamics at the Ruđer Bošković Institute's Division of Molecular Biology in Zagreb, Croatia. With a PhD in Biophysics from Technische Universität München (1995), an MSc in Biophysics from Zagreb University (1992), and a BSc in Physics from Zagreb University's Faculty of Natural Sciences and Mathematics (1988), Dr. Weber has established himself as a leading researcher in cell biology and biophysics. Dr. Weber's primary research focuses on cell motility, cytoskeleton dynamics, biophotonics and bioimaging, small GTPases, and cell signaling, using Dictyostelium discoideum as a model organism. His work has significantly advanced our understanding of how the actin cytoskeleton is regulated during cell migration and endocytosis. He has pioneered techniques for visualizing and quantifying GTPase activity in living cells, particularly focusing on Rac1 dynamics and its role in establishing cell polarity. Dr. Weber's laboratory has made groundbreaking contributions to understanding IQGAP-related proteins and their dual roles in regulating actin dynamics through both effector and sequestrator mechanisms with small GTPases. Analysis of Dr. Weber's recent publications reveals a strong focus on the molecular mechanisms of cell motility and endocytosis, with particular emphasis on the regulation of small GTPases like Rac1 and Ras. His work bridges biophysics, cell biology, and computational modeling, as evidenced by his studies on oscillatory dynamics of Rac1 activity and mathematical modeling of cell migration. The research spans from fundamental molecular mechanisms to potential biomedical applications, including studies on DNA damage response, cancer cell migration, and development of novel imaging probes. Dr. Weber has successfully secured multiple research grants including the current Croatian Science Foundation project (IP-2024-05) on dissecting Rac1 isoform redundancy in Dictyostelium , and the Croatian-Swiss Research Program (CSRP 2017-2023) on phagocytosis and macropinocytosis. As an educator, he teaches courses on Cytoskeleton and Cell Motility at the University of Zagreb, Cell Biophysics at the University of Split, and Advanced Light Microscopy at the University of Zagreb. Professional Leadership: President of Croatian Microscopy Society (2012-2016) Member of Executive Board, European Microscopy Society (2016-2025) President of Croatian Society for Theoretical and Mathematical Biology (2005-2006) Dr. Weber's laboratory serves as a hub for advanced microscopy techniques and cell dynamics research in Croatia. He has organized multiple international microscopy conferences including the Multinational Congress on Microscopy and European Light Microscopy Initiative meetings. His collaborative network spans internationally, with significant collaborations with Pierre Cosson at the University of Geneva and other European research groups.

Viva HorowitzView profile

Associate Professor

• Condensed matter physics
• Quantum computing
• Microfluidics
• +4 more

Viva Horowitz serves as Associate Professor of Physics at Hamilton College, appointed to the faculty in 2016. Her interdisciplinary research bridges condensed matter physics, quantum systems, and biophysics through experimental approaches involving microfluidics, nanomechanics, and optical techniques. She maintains active collaborations with the University of Oregon and the Air Force Research Lab. Her educational background includes a B.A. in Physics from Swarthmore College, followed by M.S. and Ph.D. degrees in Physics from the University of California, Santa Barbara. Prior to Hamilton, she conducted postdoctoral research at Harvard University (building dynamic artificial cells) and Caltech (designing opto-mechanical gyroscopes). Horowitz's research centers on condensed matter experiment with emphases on colloidal qubits in solution, micro-swimmers, microfluidics, and sensing. She develops table-top optical techniques for quantum computing applications, artificial cell construction, and biomimetic systems. Her work creates model environments for studying cytoplasmic dynamics and quantum information processing through experimental platforms combining fluid dynamics, nanotechnology, and quantum sensing. Analysis of her 2017-2024 publications reveals three dominant research trajectories: graphene nanomechanical resonator networks for scalable NEMS applications, quantum emitter development in 2D materials like hexagonal boron nitride, and educational innovation in physics curricula. She also investigates active colloids in artificial cytoplasm and quantum sensing with nanodiamonds, demonstrating exceptional versatility in experimental methodology. Her scientific recognition includes the Sidney Wertimer Award (2023). Additional distinctions stem from her pioneering work on nitrogen-vacancy centers in nanodiamonds and contributions to chromonic liquid crystal physics. Horowitz mentors undergraduate researchers through Senior Research Projects and Research Seminars, guiding students in experimental design and data analysis. Her research is supported by grants from the Air Force Research Lab and other sources funding her work on quantum sensing platforms, nanomechanical networks, and microfluidic systems. She has developed novel laboratory exercises integrating equity, diversity, and inclusion principles into physics education. Her laboratory in Taylor Science Center employs advanced microfluidic and optical setups for experiments on colloidal particles, graphene resonators, and artificial cells. The research group collaborates with Caltech and University of Oregon teams on quantum systems and nanomechanics, while maintaining strong connections to her Air Force Research Lab partnership for sensor development applications.