Find Academic Supervisors

• Critical Care Nursing
• Intraoperative Monitoring
• Near-Infrared Spectroscopy
• +3 more

Helen Louise Collette serves as an Instructor at the Tan Chingfen Graduate School of Nursing, UMass Chan Medical School in Worcester, Massachusetts. Her position focuses on graduate nursing education within the clinical and research domains of critical care. Her educational foundation includes: BS in Psychology from Worcester State College MSN from University of Massachusetts Medical School Dr. Collette specializes in advanced intraoperative monitoring techniques, particularly applying near-infrared spectroscopy to assess tissue perfusion during cardiac surgery. Her research bridges nursing practice with biomedical engineering to develop noninvasive methods for measuring muscle pH and oxygen levels during cardiopulmonary bypass procedures. This work addresses critical gaps in real-time physiological monitoring for high-risk surgical patients, emphasizing translational applications in critical care settings. Her publication record shows a concentrated contribution to surgical patient monitoring, with her 2003 Critical Care Medicine paper establishing foundational work in noninvasive perfusion assessment. The research demonstrates interdisciplinary convergence between nursing science, anesthesiology, and biomedical instrumentation, particularly in cardiac surgical contexts where tissue oxygenation monitoring remains clinically challenging.

Høgni C. KambanView profile

Assistant Professor

• Condensed Matter Physics
• Two-dimensional Materials
• Exciton Dynamics
• +3 more

Høgni C. Kamban is an Assistant Professor at the Faculty of Science and Technology , University of the Faroe Islands. His research focuses on quantum mechanical phenomena in two-dimensional materials, particularly exciton dynamics and ionization processes under external fields. PhD in Physics from Aalborg University (2022) MSc in Physics and Mathematics from Aalborg University (2018) BSc in Physics from Aalborg University (2016) His work investigates two-dimensional excitons , transition metal dichalcogenides , and their responses to intense terahertz pulses and electric fields. Key contributions include studies on nonlinear optical response functions, Stark shifts, and field-induced dissociation mechanisms. Recent publications span quantum dynamics in phosphorene, computational modeling of ionization processes, and semiclassical approaches to exciton behavior. Collaborations with researchers like T.G. Pedersen and N.M.R. Peres highlight his focus on theoretical and computational condensed matter physics.

Jeffrey CinaView profile

Professor

• Theoretical Physical Chemistry
• Ultrafast Optical Spectroscopy
• Quantum Mechanics
• +7 more

Jeffrey Cina is a Professor in the Department of Chemistry and Biochemistry , University of Oregon, within the College of Arts and Sciences. His research focuses on theoretical physical chemistry, particularly the simulation of ultrafast optical spectroscopy and quantum dynamics in molecular systems.

Lasse LensuView profile

Professor

• Computer Vision
• Pattern Recognition
• Machine Learning
• +5 more

Lasse Lensu is a Professor of Machine Vision and Data Analysis at Lappeenranta-Lahti University of Technology LUT (LUT University), Finland. He is affiliated with the Department of Computational Engineering within the LUT School of Engineering Sciences. His research spans multiple domains including computer vision, pattern recognition, and machine learning with applications in marine biology, medical imaging, and spectroscopy. Prof. Lensu received his M.Sc. degree in data communications in 1991, followed by Lic.Sc. and D.Sc. degrees in computer science in 2001 and 2002 respectively, all from LUT. His academic journey has been deeply rooted in the same institution where he now serves as a professor. His primary research interests focus on computer vision and pattern recognition with machine learning approaches. Specifically, he has made significant contributions to plankton recognition using deep learning techniques, medical image analysis particularly in retinal imaging, and signal processing in Raman and CARS spectroscopies. Prof. Lensu has also contributed to energy forecasting and battery state-of-charge prediction using advanced machine learning models. Analysis of his recent publications reveals a strong trend toward applying computer vision and deep learning to specialized domains. His work spans from fundamental research in machine learning techniques to practical applications in marine biology (plankton recognition), medical diagnostics (retinal imaging), and chemical analysis (spectroscopy). A significant portion of his recent work focuses on addressing challenges in open-set recognition, domain adaptation, and uncertainty quantification in deep learning models. Prof. Lensu is an active member of the Computer Vision and Pattern Recognition Laboratory at LUT. He has been instrumental in technology transfer initiatives, contributing to the creation of multiple spin-off companies from the university. His research has practical implications across several industries including environmental monitoring, healthcare diagnostics, and energy management.

Cheryl WoolheadView profile

Professor

• Molecular Biotechnology
• Protein Folding
• Membrane Protein Biogenesis
• +3 more

Professor Cheryl Woolhead is affiliated with the University of Glasgow, serving as a Professor of Molecular Biotechnology in the Molecular Biosciences department and as Dean of Learning & Teaching in the College of Medical, Veterinary and Life Sciences (MVLS). Her research focuses on the dynamic relationship between translating ribosomes and nascent polypeptides, particularly in the context of membrane protein folding and insertion and translation arrest motifs . Research Interests Membrane Protein Folding and Insertion: Investigates structural changes in bacterial inner membrane proteins during synthesis, targeting to the YidC pathway, and membrane integration using Fluorescence Resonance Energy Transfer (FRET) and crosslinking techniques. This work clarifies the timing of α-helix compaction and tertiary structure formation. Translation Arrest Motifs: Studies the interaction between stalling peptides like SecM and the ribosome exit tunnel, emphasizing how hydrophobicity and structural dynamics within the tunnel induce translational arrest to regulate protein synthesis and endoplasmic reticulum (ER) targeting. Publication Trends Cheryl Woolhead’s research (2020–2001) bridges co-translational folding with membrane integration dynamics , utilizing FRET , microfluidic platforms , and biochemical assays . Her work spans bacterial systems, chloroplast protein insertion, and human ion channel drug discovery, reflecting interdisciplinary applications. Scientific Awards NIH NIDDK Scientific Directors Fellowship (2005–2007) Grants EPSRC: Droplet-based Microfluidic Platform for Intracellular Ion Channel Drug Discovery (2016–2019) BBSRC: Folding and Insertion of a Bacterial Inner Membrane Protein (2010–2013) Royal Society: Incorporation of Fluorescently Modified Amino Acids into Proteins for Structural Studies (2008–2009) Labs and Collaborations She leads research at the Institute of Molecular, Cell and Systems Biology (MC&SB) in the Bower Building, Glasgow. Her work involves collaborations with international institutions, including the Weizmann Institute (Israel), University of Maryland (USA), and European Science Foundation symposia.

Trinanjan DattaView profile

Professor

• Theoretical Condensed Matter Physics
• Magnetic Materials
• Spectroscopy
• +2 more

Dr. Trinanjan Datta is a Professor of Physics in the Department of Physics and Biophysics at Augusta University's College of Science and Mathematics. His academic appointments include roles in the Department of Chemistry and Physics and Department of Physics and Biophysics. He holds a PhD in Theoretical Condensed Matter Physics from Purdue University (2007), an MS from Indian Institute of Technology (2001), and a BS from University of Calcutta (1999). His research focuses on theoretical and computational studies of magnetic systems , including spectroscopic properties of magnon, multi-magnon, and topological magnon excitations in quantum magnets. Key methods include RIXS, Raman, INS, and transport studies, with additional interest in classical Monte Carlo simulation of non-equilibrium magnetic systems. Notable awards include the 2017 College of Science and Mathematics Exemplary Teaching Award and 2016 University System of Georgia SoTL Fellow . Recent publications analyze topics like periodicity staircase patterns in Fe/Gd thin films , Einstein-de Haas effect in topological magnon insulators , and dynamical phase transitions in the XY model . These reflect a trend toward understanding topological phases , non-equilibrium magnetism , and quantum spin dynamics through spectroscopic and computational approaches. His scientific awards include: 2017 College of Science and Mathematics Exemplary Teaching Award 2016 College of Science and Mathematics Excellence in Research Award 2016 University System of Georgia SoTL Fellow 2015 GRU College of Science and Mathematics Outstanding Faculty Award 2012 KITP Scholar Award Dr. Datta actively supervises undergraduate and graduate research students, including Alex Price , Curtislee Thornton , and Cheng Luo , while collaborating with institutions like Sun Yat-sen University. His work spans frustrated magnetism , correlated electron systems , and biophysics , with 32 peer-reviewed publications to date.

James P. CryanView profile

Associate Professor

• Attosecond Science
• Ultrafast Molecular Dynamics
• X-ray Free-electron Lasers
• +5 more

James P. Cryan is an Associate Professor in the Photon Science Directorate at Stanford University and Principal Investigator at the Stanford PULSE Institute. He serves as the Department Head of Atomic, Molecular, and Optical Sciences at the Linac Coherent Light Source (LCLS) at SLAC National Accelerator Laboratory. His research focuses on the development and application of attosecond X-ray techniques to study ultrafast electronic dynamics in atoms and molecules. Dr. Cryan received his B.S. in Engineering Physics from The Ohio State University in 2007 and his Ph.D. in Physics from Stanford University in 2012. As a graduate student at Stanford, he participated in the first experiments at the Linac Coherent Light Source, studying a new regime of X-ray-matter interactions. He was a postdoctoral scholar at Lawrence Berkeley National Laboratory before returning to SLAC to lead the attosecond science group. His research centers on photo-induced dynamics of atoms and molecules, particularly the dynamics of excited states and energy transfer processes occurring on attosecond to picosecond timescales. His work includes studying photo-triggered chemistry such as non Born-Oppenheimer molecular dynamics and quantum phenomena in strong-field driven systems. He develops advanced tools for studying these ultrafast dynamics in the time domain, leveraging his expertise in ultrafast optical laser science and technology. His recent publications demonstrate a strong focus on pushing the boundaries of attosecond science with X-ray free-electron lasers, enabling unprecedented insights into electron dynamics during chemical reactions. His work spans experimental techniques, instrumentation development, and theoretical interpretation of ultrafast phenomena. APS Fellow, American Physical Society (2020) William E. and Diane M. Spicer Young Investigator Award, SLAC National Accelerator Laboratory (2012) Dr. Cryan serves on the Physical Review X Editorial Board and mentors graduate students including John Walters (Doctoral Dissertation Co-Advisor) and Erik Isele (Doctoral Dissertation Reader). His research has been supported by various grants enabling the development of cutting-edge instrumentation for ultrafast science. As Department Head of AMO Science at LCLS, he leads a team focused on advancing X-ray science capabilities for studying ultrafast electronic and molecular processes. He leads the attosecond science group at SLAC, which develops novel techniques using X-ray free-electron lasers to probe electron dynamics on their natural timescales. The group works closely with the Stanford PULSE Institute and collaborates with researchers worldwide to apply these techniques to fundamental questions in chemistry, physics, and materials science.

Tommy Sonne AlstrømView profile

Associate Professor

• Machine Learning
• Signal Processing
• Nanotechnology
• +3 more

Tommy Sonne Alstrøm is an Associate Professor at the Department of Applied Mathematics and Computer Science, DTU Compute, Danmarks Tekniske Universitet (DTU). His research focuses on machine learning, signal processing, and nanotechnology-based sensor systems. Key research areas include: Explainable AI for time series and spectroscopy Diffusion models for speech enhancement Federated learning optimization Probabilistic modeling of biosignals His recent publications demonstrate expertise in neural network geometry, federated learning privacy, and spectroscopic data analysis. Current work involves self-supervised learning for variable-channel time series and road condition modeling using LiRA-CD dataset. Contact: tsal@dtu.dk

Gebhard SchertlerView profile

Professor

• Structural Biology of Membrane Proteins
• G Protein-Coupled Receptors (GPCRs)
• Optogenetics
• +3 more

Prof. Dr. Gebhard Schertler leads the Structural Biology of Membrane Proteins group at the Paul Scherrer Institute (PSI) in Switzerland. His research focuses on the molecular mechanisms of G protein-coupled receptors (GPCRs), particularly light-activated rhodopsins, to bridge structural biology with cellular signaling pathways and pharmacological applications. Expertise in X-ray crystallography and cryo-EM for membrane protein structures Collaborations in spectroscopic analysis and optogenetic tool design Over 25 years of publications in top-tier journals (Nature, Science, PNAS, etc.) Research Interests include: Understanding GPCR activation, ligand efficacy, and intracellular signaling dynamics through structural biology; developing optogenetic tools by analyzing retinal protein pockets; and linking receptor structure to physiological functions via interdisciplinary approaches. Recent Publications highlight structural studies of GPCR-G protein complexes, bistable opsins, and advanced crystallography techniques. His group’s work spans retinal protein dynamics, ion pump mechanisms, and computational methods for time-resolved data analysis. Students : Lea Jänisch, Flurin Stefan Hidber, Sarah Luise Schmidt, Deborah Walter. Group members include senior scientists (Xavier Deupi, Valérie Panneels) and project scientists working on GPCR signaling, membrane protein biochemistry, and structural informatics.

Crina NimigeanView profile

Professor

• Biophysics
• Biochemistry
• Ion Channel Research
• +3 more

Crina Nimigean is a Professor of Biochemistry and Biophysics in the Anesthesiology and Physiology and Biophysics departments at Weill Cornell Medical College , with appointments from 2020 and 2025. Her research focuses on ion channel biophysics, particularly potassium channels and their structural, functional, and pharmacological dynamics. Education: Ph.D. in Biochemistry and Biophysics, University of Miami (1999) M.S. and B.S. in Biochemistry, University of Bucharest (1995) Research Interests span potassium channel selectivity, ligand binding, voltage and calcium-dependent gating, membrane protein reconstitution, and anesthetic modulation. Her work integrates structural biology (e.g., cryo-EM), functional assays, and theoretical modeling to unravel mechanisms underlying ion channel behavior. Publications reflect a 20-year trajectory examining CNG channels (SthK, MloK1), HCN channels, TRPV3, TREK1, and BK channels. Key themes include lipid-protein interactions, allosteric regulation, and cryo-EM structural dynamics. Grants and Funding: 2024-2029: Uncovering druggable allosteric sites in HCN channels (NINDS) 2024-2026: Molecular Mechanisms of Potassium Channel Permeation and Gating (NIGMS) 2024-2029: Structure and Function of TRPV3 channels (NINDS) 2022-2024: Structural dynamics in cyclic nucleotide-modulated channels (NIGMS) Methodological Contributions include innovative assays for ion flux, fluorescence titrations, and membrane protein reconstitution techniques.

Geoffrey BlakeView profile

Professor

• Cosmochemistry
• Planetary Sciences
• Chemistry
• +5 more

Geoffrey Blake is a Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry at the California Institute of Technology (Caltech). He received his B.S. from Duke University in 1981 and his Ph.D. from Caltech in 1986. His academic career at Caltech progressed from Assistant Professor of Cosmochemistry (1987-93) to Associate Professor of Cosmochemistry and Planetary Sciences (1993-97), to Professor (1997-99), and finally to his current dual appointment as Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry (1999-present). He also served as Deputy Director of the Owens Valley Radio Observatory (2000-06) and Master of Student Houses (2009-14). Professor Blake's research focuses on applying innovative spectroscopic tools to investigate chemical and physical processes in natural environments ranging from the interstellar medium to living cells. His work aims to understand the evolution of molecular diversity from atoms in the interstellar medium to complex molecules throughout the solar system and in life. He conducts both remote sensing and laboratory studies, with active research in three major scientific areas. His group is actively developing new spectrometers across the Terahertz (THz, 30-1000 μm) region of the electromagnetic spectrum. Analysis of Professor Blake's recent publications reveals a strong focus on advanced spectroscopic techniques, particularly in the terahertz range, and their application to both astrochemistry and physical chemistry problems. His work spans from laboratory studies of molecular clusters and water structure to astronomical observations of protoplanetary disks and exoplanet atmospheres. There is a clear interdisciplinary approach, connecting chemistry, physics, and astronomy to address fundamental questions about molecular evolution and cosmic processes. Professor Blake has mentored numerous graduate students who have gone on to successful careers in academia, national laboratories, and industry. His students have received prestigious awards, including the 2024 ACS Astrochemistry Dissertation Award (Olivia Wilkins). He has also secured research funding that supports his group's development of advanced spectroscopic instrumentation and related research activities. The Blake Group operates state-of-the-art laboratories for terahertz and microwave spectroscopy at Caltech. They have developed innovative instrumentation including decade-spanning high-resolution terahertz time-domain spectrometers and frequency comb systems. The group collaborates with researchers across multiple disciplines and institutions, contributing to major astronomical observations with facilities like JWST and ground-based observatories.

James MullaneyView profile

Senior Lecturer

• Galaxy evolution
• Supermassive black holes
• Active galactic nuclei (AGN)
• +4 more

Dr James Mullaney is Senior Lecturer in Astrophysics at the University of Sheffield’s School of Mathematical and Physical Sciences. He also serves as the School’s Recruitment Lead and has built an active research group comprising three current PhD students. Education MSci Physics and Astronomy, University of Nottingham (2000–2004) PhD Astrophysics, Durham University (2005–2008) Leverhulme-funded PDRA, Durham (2008–2010) European (FP7) Fellowship, CEA-Saclay, France (2010–2012) Leverhulme Early-Career Fellowship, Durham (2012–2013) Vice-Chancellor’s Fellowship, University of Sheffield (2013–2016) Lecturer (2016–present), subsequently promoted to Senior Lecturer, University of Sheffield Research Interests Dr Mullaney studies the co-evolution of galaxies and their central super-massive black holes. Using multi-wavelength observations from the world’s largest telescopes, he investigates how black-hole growth is triggered, how AGN feedback regulates star formation, and how powerful outflows redistribute energy and matter within galaxies. His work combines deep X-ray, sub-millimetre and infrared datasets to quantify the star-formation properties of AGN hosts and to map kiloparsec-scale winds that couple black-hole activity to galactic scales. Research Output With over 60 refereed papers (six exceeding 100 citations each), his recent work emphasizes ALMA and Herschel studies of star-formation in AGN hosts, NuSTAR high-energy surveys of obscured accretion, and machine-learning techniques for time-domain astronomy within the GOTO wide-field survey. These studies reveal a complex interplay between AGN luminosity and star-formation rate, the ubiquity of ionised and molecular outflows in luminous AGN, and new methods for identifying rapidly variable and transient phenomena. Grants & Funding Co-Investigator on STFC Consolidated Grant for Sheffield Astrophysics (£1.2 M, 2015–2018) Leverhulme Trust, European FP7 and University strategic fellowships (2008–2016) Teaching & Outreach At Sheffield Dr Mullaney convenes the advanced undergraduate module PHY405 Galaxy Evolution and tutors first-year Mechanics and Optics . He has supervised numerous BSc and MPhys research projects and regularly delivers astronomy outreach to primary and secondary schools together with local amateur societies. Research Team His current group includes three PhD students—Emmanuel Bernhard, Liam Grimmet and Lydia Makrigianni—working on AGN host galaxies, feedback processes and time-domain data analysis.

Xin LiuView profile

Associate Professor

• Astronomy
• Astrophysics
• Data Science
• +4 more

Xin Liu is an Associate Professor in the Department of Astronomy at the University of Illinois Urbana-Champaign and holds a joint appointment at the National Center for Supercomputing Applications (NCSA). Her research bridges astronomy and data science, focusing on multi-messenger astrophysics, time-domain phenomena, and AI-driven scientific discovery through large-scale astronomical surveys. Her educational background includes: Ph.D. in Astrophysical Sciences, Princeton University (2010) M.A. in Astrophysical Sciences, Princeton University (2008) M.S. in Physics, Tsinghua University (2006) B.S. in Physics, Tsinghua University (2004) Liu's research centers on three interconnected domains: physics-informed machine learning for astronomical data, statistical learning with probabilistic frameworks for uncertainty quantification, and transparent AI models for scientific interpretation. She pioneers methodologies where machine learning integrates with principled astrophysical analysis rather than serving as black-box tools, addressing challenges in big data astronomy through innovative computational approaches. Her recent publications reveal a strong emphasis on dual supermassive black hole systems, active galactic nuclei variability, and time-domain astrophysics. Key themes include leveraging JWST and multi-wavelength observations to identify dual quasars, developing machine learning techniques for survey data analysis, and exploring the connection between black hole growth and galaxy evolution during cosmic noon. Her work frequently combines large datasets from SDSS, Rubin Observatory, and space telescopes with advanced computational methods. Her awards and honors include: Norman P. Jones Professorial Scholar (2023-2026) Excellent Teacher Ranked by Students (2023) NCSA Faculty Fellow (2020, 2023) Liu has secured prestigious fellowships including the NASA Einstein Fellowship and Hubble Fellowship. She teaches advanced courses like ASTR 596 (AI and Big Data in Astronomy) and has received recognition for her teaching excellence. Her research receives support through institutional appointments and competitive fellowships enabling high-impact work in data-intensive astrophysics. As an NCSA Faculty Fellow, Liu leverages world-class supercomputing resources to develop and apply machine learning frameworks for astronomical datasets. Her group fosters interdisciplinary collaboration between astronomy, computer science, and statistics, focusing on creating interpretable AI tools that advance fundamental astrophysical understanding while pushing computational boundaries.

Charles PaillardView profile

Research Professor

• Ferroelectrics
• Multiferroics
• Superlattices
• +6 more

Charles Paillard is a Research Professor at the Laboratory Structures, Properties and Modeling of Solids (SPMS) , Université Paris-Saclay, France. He conducts advanced research on ferroelectric, multiferroic and oxide materials using state-of-the-art ab-initio and multiscale modelling techniques. Education & Qualifications: HDR (Habilitation à Diriger des Recherches) — French post-doctoral degree qualifying for full professorship. Research Interests Paillard’s work spans several tightly connected themes: Ferroelectric & Multiferroic Physics: fundamental mechanisms of polarization, magnetoelectric coupling, and domain-wall dynamics. Photostriction & Light-Control: light-induced mechanical strain in oxides such as BiFeO₃ and BaTiO₃, enabling remote actuation. Two-Dimensional Ferroelectrics & Oxide Superlattices: electro-optic, elasto-optic and piezoelectric responses in van-der-Waals and epitaxial heterostructures. Neuromorphic Oxides: leveraging relaxor ferroelectrics for brain-inspired, low-power memory and synaptic devices. Computational Methodology: finite-temperature ab-initio calculations, multiscale modelling, and high-throughput design of multifunctional materials. Recent Publication Landscape Between 2024 and 2025 Paillard (co-)authored 15 high-impact works. The dominant themes are (i) light-matter interactions in ferroelectrics (photostriction, photo-induced phase transitions), (ii) electro-optic and elasto-optic phenomena in 2-D and oxide thin films, and (iii) domain-wall mediated magnetoelectric excitations in multiferroics. These studies combine predictive theory with experimental collaborations and point toward applications in photonics, neuromorphic computing and ultrafast optical control. Scientific Awards & Distinctions HDR (Habilitation à Diriger des Recherches) — attests to internationally recognized research leadership. Advising & Collaborative Grants Active collaborations include joint publications with researchers from US, Chinese, and European institutions (e.g., University of Arkansas, Xi’an Jiaotong University, ETH Zürich). Specific grant details are not disclosed in the supplied text, but the breadth and number of co-authored works indicate substantial national and international funding. Labs & Teams Paillard is a key member of the SPMS Laboratory within CentraleSupélec/Université Paris-Saclay. The group hosts advanced computational facilities and coordinates closely with experimental teams in nanofabrication, synchrotron, and neutron-scattering centers.

• Electrical Engineering
• Materials Science
• Polymer Physics
• +2 more

Miguel Acedo García serves as an Associate Professor in the Department of Applied Physics I, with a documented research career spanning 1995-2011. His academic profile centers on electrical insulation materials for power systems, evidenced by consistent publications in IEEE and Elsevier venues. Research expertise includes: Water tree degradation mechanisms in polyethylene cable insulation Temperature-dependent conduction processes in XLPE/LDPE Dielectric characterization of aged insulation materials Space charge dynamics in mid-voltage cable systems Development of conduction models for degraded insulation Analysis of his 16-year publication trajectory reveals sustained focus on polymer physics applications in electrical engineering. His work combines experimental measurements (absorption currents, dynamic analysis) with theoretical modeling to address cable reliability challenges, featuring notable international collaborations particularly with European researchers. No scientific awards are documented in the provided source material. While specific grant details are absent, his publication record indicates active research program management. As an Associate Professor, he likely supervises graduate students - evidenced by his own 2003 PhD thesis on water tree degradation - though no current advisees are listed in the available documentation.