Find Academic Supervisors

• Quantum Simulation
• Ultracold Quantum Gases
• Condensed Matter Physics
• +3 more

Prof. Leticia Tarruell leads the Ultracold Quantum Gases Group at the Institut de Ciències Fotòniques (ICFO). Her work focuses on experimental quantum simulation using ultracold atoms to engineer novel quantum matter and address complex physics problems across condensed matter and high-energy domains. She has secured notable grants including the ERC Consolidator Grant (SuperComp), PASQuanS 2.1 under the Quantum Technologies Flagship, and projects funded by the Agencia Estatal de Investigación and German Research Agency (DFG). These grants support research on light-dressed quantum gases, lattice gauge theories, and synthetic dimensions. Her research emphasizes atom-light interactions to create controllable quantum systems, enabling precise studies of phenomena like topological phases and quantum droplets. The group actively engages in developing quantum technologies, such as quantum-gas microscopes for strontium atoms, and explores theoretical concepts like synthetic dimensions and gauge fields. Current opportunities include postdoctoral and PhD positions in quantum-gas microscopy and SU(N) Fermi-Hubbard model simulations. No scientific awards are explicitly mentioned. Her advising efforts include mentoring students in experimental quantum simulation, with positions available in ongoing projects. Major funding sources include the European Commission (ERC, H2020), Spanish agencies (Agencia Estatal de Investigación, Plan España), and international collaborations like DFG. The group maintains advanced equipment projects focused on strontium atom trapping and laser systems.

• Computational Fluid Dynamics
• Mineral Processing
• Multiphase Flow Modeling
• +3 more

Alex De Andrade serves as an Industry Fellow at the University of Technology Sydney's School of Mechanical and Mechatronic Engineering. His position bridges academic research and industrial applications in fluid dynamics and mineral processing systems. His research focuses on computational modeling of gravity-driven separation systems, particularly helical mineral separators. Key interests include multiphase flow behavior, bubble dynamics in spiral concentrators, and numerical validation techniques using CFD simulations. His work integrates 3D scanning data with advanced turbulence modeling to optimize industrial separation processes. His 2023 publication demonstrates expertise in Eulerian multi-fluid VOF modeling with Lagrangian bubble phases, revealing novel tertiary radial flow phenomena in mineral spirals. Research emphasizes practical applications in mining technology through precise simulation of wall roughness, contact angles, and bubble-water interactions. As a supervisor, he leads research in translating industrial mineral separation equipment into 3D printable equivalents, demonstrating commitment to innovative manufacturing solutions for engineering challenges.

Zeba WunderlichView profile

Associate Professor

• Regulation of Gene Expression
• Design Principles of Enhancers
• Systems Biology
• +3 more

Zeba Wunderlich is an Associate Professor in the Department of Biology at Boston University, with an affiliated faculty position in the Department of Biomedical Engineering. She holds a PhD in Biophysics from Harvard University and a BA in Molecular Biology & Biochemistry and Statistics from Rutgers University. Her research focuses on understanding gene regulatory networks (GRNs) in Drosophila, particularly their architecture, robustness, and evolution in developmental and immune contexts. Dr. Wunderlich’s work combines experimental approaches like imaging and genomic measurements with computational models to study GRNs in Drosophila embryonic patterning and innate immunity. She investigates how regulatory DNA variation impacts transcriptional regulation, leveraging both natural sequence diversity and experimental perturbations. Awards: PECASE (2025), Teaching Excellence (2021), Dean’s Honoree (2020), Chancellor’s Research Award (2019), Hellman Fellowship (2017), and NIH K99/R00 (2012). Advising: Mentors PhD, Master’s, and undergraduate students in Biology, BME, and related programs. Alumni hold positions at top institutions such as Emory, UCSF, and Harvard. Labs/Teams: Leads the Wunderlich Lab, integrating experimental and computational methods to study GRNs.

Mauricio Muñoz AriasView profile

Assistant Professor

• Port-Hamiltonian Control Theory
• Aerospace Systems
• Renewable Energy
• +4 more

Mauricio Muñoz Arias is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Engineering Systems and Design Group. His research focuses on developing and applying port-Hamiltonian control theory across multiple domains including aerospace systems, renewable energy, robotics, and sustainable technologies. Research interests span satellite attitude control, CubeSat design for Earth observation, energy optimization for wave energy converters, and control strategies for solar-powered systems. His work integrates theoretical developments with practical applications in mechanical systems and biological systems modeling. Publications demonstrate strong emphasis on energy-based approaches across renewable energy systems, aerospace control, and robotic applications. Recent work shows increasing focus on sustainable technologies and interdisciplinary applications combining control theory with biological systems.

John McFerranView profile

Associate Professor

• Optical Atomic Clocks
• Frequency Synthesis
• Laser Spectroscopy
• +5 more

John McFerran is an Associate Professor in the School of Physics, Maths and Computing at the University of Western Australia (UWA). He holds roles including Masters/PhD supervisor, lecturer, researcher, and Academic Conduct Advisor. His research focuses on optical frequency synthesis (frequency combs), optical atomic clocks, and laser spectroscopy, with a particular emphasis on ytterbium-based clocks and tests of the Standard Model via isotope shift measurements. He has developed a cold atom optical clock at UWA and led projects such as the ARC Future Fellowship (2012–2016) and the ARC Centre of Excellence for Engineered Quantum Systems (2018–2019). Education & Previous Positions: PhD in Physics from UWA (2003) Postdoctoral Researcher at Observatoire de Paris (France), XLIM Institute (France), and Durham University (UK) Guest Researcher at NIST Boulder (USA) and LNE-SYRTE (France) Teaching: Courses include Atomic Physics (PHYS3001), Frontiers of Modern Physics (PHYS3012), Electromagnetism (PHYS2001), and Physics Bridging (PHYS1030). Research Projects: Developing ultracold ytterbium optical lattice clocks Measuring isotope shifts and nuclear parameters in ytterbium King plot analyses for Standard Model tests Awards: ARC Future Fellowship (2012–2016) Scientific Mobility Travel Award (France, 2013) Grants & Funding: ARC Centre of Excellence for Engineered Quantum Systems (2018–2019) A Southern Hemisphere Ground Station for Atomic Clock Ensemble in Space Mission (ARC, 2011–2016) Labs & Teams: Leads the Atomic Clock Lab (www.atomicclocklab.net), focusing on precision measurement technologies and quantum systems.

Steve HoadView profile

Professor

• Cereal Improvement
• Grain Quality
• Crop Diversity
• +3 more

Steve Hoad is a Professor at Scotland's Rural College (SRUC), holding the position of Reader in Crop and Soils within the CSS: Crop Improvement & Agronomy Food Security Challenge Centre. His primary affiliations include SRUC's Peter Wilson Building in Edinburgh. Hoad specializes in cereal improvement, grain quality assessment, and crop diversity research. He advises the cereals sector through roles in the National List Seeds Committee and Malting Barley Committee, contributing to variety evaluation and agronomic standards. Education: Hoad earned a PhD in Crop Physiology from the University of Reading in 1990. His research focuses on cereal genetics, remote sensing applications in agriculture, and sustainable crop production. Key projects include the RESAS-funded initiatives exploring barley diversity and novel crops' environmental impacts, as well as AHDB's Recommended List trials for cereals. Teaching and Consultancy: He teaches Advanced Agronomy and Arable Crop Production, and provides agronomic guidance for industry events. His consultancy work includes advising on barley variety selection and malting quality. Research Output: Over 100 publications span cereal variety evaluations, fertilizer management, and crop modeling. Recent work emphasizes genomic characterization of crops like finger millet and the agronomic performance of barley landraces under high-yield conditions. Awards and Recognition: No specific scientific awards are listed, though his extensive contributions to cereal research and industry engagement highlight his expertise in the field. Grants and Projects: Active in securing funding for multi-year projects (e.g., £6.8M RESAS 2022-2027), focusing on crop resilience, diversity, and sustainable farming technologies. Collaborations include the James Hutton Institute and industry partners like AHDB.

• Genomics
• Statistical Genetics
• Polygenic Risk Scores
• +7 more

Bogdan Pasaniuc is a Professor in the Departments of Pathology and Laboratory Medicine, Human Genetics, and Computational Medicine at the University of California, Los Angeles (UCLA). His academic career spans multiple disciplines within genomics and computational biology, with a focus on advancing precision medicine through genetic and genomic research. He holds a BSc in Computer Science from A.I. Cuza University of Iasi (2003) and a PhD in Computer Science and Bioinformatics from the University of Connecticut (2008). His postdoctoral training included positions at the Broad Institute of Harvard and MIT (2012), Harvard School of Public Health (2012), and ICSI at UC Berkeley (2010), where he specialized in statistical genetics and computational biology. His research interests encompass statistical genetics, polygenic risk scoring, and the application of computational methods to understand genetic architecture across diverse populations. He focuses on translational research in precision medicine, including the development of tools for polygenic risk assessment and their implications in healthcare disparities. Key areas include the genetic underpinnings of complex diseases such as cancer, neuropsychiatric disorders, and metabolic conditions, alongside the integration of genomic data with electronic health records (EHR) for clinical insights. Notable contributions include leadership in the UCLA ATLAS Community Health Initiative and the PRIMED Consortium, which aim to improve polygenic risk assessment in underrepresented groups. His work also extends to the All of Us Research Program, leveraging large-scale genomic and health data to enhance disease understanding and precision medicine applications. He collaborates across institutions and leads research teams focused on computational methods for admixture mapping, genetic epidemiology, and multi-omics integration. His projects often emphasize reducing disparities in genomic research and ensuring equitable access to precision health solutions.

• Nuclear Physics
• Laser Spectroscopy
• Quantum Control
• +4 more

Prof. Kieran Flanagan is a Professor of Nuclear Physics and Head of the Nuclear Physics Group at the Department of Physics and Astronomy, The University of Manchester. He is also Director of the Photon Science Institute and Dalton Nuclear Institute. His research focuses on nuclear structure and fundamental physics using laser spectroscopy techniques, particularly the Collinear Resonance Ionization Spectroscopy (CRIS) method. Education: Graduated from The University of Manchester, followed by PhD studies under Prof. Jon Billowes. Postdoctoral work included positions at CERN, KU Leuven, and IPN-Orsay. He returned to Manchester in 2009 as an STFC Advanced Fellow. Research Interests: Spectroscopy of exotic nuclei and molecules, quantum control of molecular ions, trace isotope detection, and exploring physics beyond the Standard Model through radioactive molecules. Key projects include the ERC-funded ActMol initiative (2024) and FNMPLS (2015). Publications highlight advancements in CRIS, laser cooling of radium-containing molecules, and studies of nuclear moments in short-lived isotopes. His work bridges fundamental physics with applications in trace analysis, as seen in the start-up Artemis Analytical Ltd (2016). Awards: STFC Advanced Fellowship (2009), ERC Consolidator (2015), and Advanced ERC (2024). Collaborations span global institutions like CERN, KU Leuven, and IPN-Orsay. Labs: Academic lead of the Ultra Trace Analysis Lab, specializing in high-resolution mass spectrometry and isotope detection.

Timothy MelbourneView profile

Professor

• Seismology
• Continental Dynamics
• GNSS Geodesy
• +3 more

Timothy Melbourne is a Professor at Central Washington University, specializing in seismology, continental dynamics, and GNSS geodesy. He holds a Ph.D. from the California Institute of Technology (1999). His research focuses on advancing real-time geodetic monitoring systems for earthquake early warning and tsunami forecasting, leveraging Global Navigation Satellite System (GNSS) technologies. He is a key contributor to initiatives like the Pacific Northwest Geodetic Array and the ShakeAlert system. His work emphasizes integrating geodetic data with seismological observations to improve disaster risk reduction strategies. Major contributions include developing algorithms for rapid earthquake source characterization and enhancing the performance of GNSS networks in detecting tectonic deformation during seismic events. Melbourne collaborates internationally on projects such as the GeTEWS Oceania workshop and the CRESCENT Working Group, aiming to standardize global Earth observation systems (GGOS). His publications highlight advancements in noise mitigation for real-time GNSS data, spatial analysis of crustal deformation, and vertical land motion studies related to sea-level rise. He has been pivotal in demonstrating the operational feasibility of GNSS-based early warning systems through synthetic testing and real-world applications like the 2019 Ridgecrest earthquakes.

Anthimos GeorgiadisView profile

Professor

• Production Technology
• Manufacturing Systems
• Materials Engineering
• +1 more

Prof. Dr. Anthimos Georgiadis is a faculty member at Leuphana University Lüneburg's Institute for Production Technology and Systems. His research focuses on advanced manufacturing technologies, production systems, and industrial applications. Georgiadis leads projects in areas including material processing, manufacturing optimization, and industrial diagnostics. Recent publications demonstrate strong emphasis on applied engineering solutions, particularly in bearing dynamics diagnostics using machine learning, surface quality optimization, and medical positioning systems. His work consistently integrates theoretical modeling with experimental validation across mechanical, materials, and medical engineering domains. Technical contributions span predictive maintenance algorithms, manufacturing process improvements, metrology innovations, and healthcare technology development, reflecting interdisciplinary approaches to industrial challenges.

• Ionospheric Physics
• Satellite Navigation
• Geodesy
• +3 more

Maria Angeles Aragon Angel is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Matemàtiques and the gAGE - Grup d'Astronomia i Geomàtica research group. Her work focuses on ionospheric physics, satellite navigation systems, and geodetic applications. She holds a PhD in Aerospace Science and Technology and has contributed extensively to GNSS technology, ionospheric modeling, and educational initiatives in science. University: Universitat Politècnica de Catalunya Key Roles: Researcher, Educator Research Group: gAGE (Astronomy and Geomatics) Her research interests include real-time ionospheric monitoring, GNSS error correction, and the application of machine learning in space weather analysis. She has led projects like IONO-DeCo and contributed to the development of ionospheric correction algorithms for Galileo systems. Publications span domains like ionospheric scintillation detection, neural network-based forecasting, and high-precision positioning techniques. Awards include the Best Presentation Award at an international GNSS conference.

Nasser Kalantar-NayestanakiView profile

Professor

• Few-body physics
• Hadron Physics
• Nuclear Structure
• +7 more

Nasser Kalantar-Nayestanaki is a Full Professor of Physics at the University of Groningen since 2008, with a distinguished academic career spanning multiple positions at leading institutions. He has held roles as Adjunct Professor (2004-2008), Associate Professor (2000-2004), and Assistant Professor (1993-2000) at Groningen, and has also served as Visiting Professor at Duke University (2001) and held research positions at NIKHEF, Free University Amsterdam, and MIT. Education: B.Sc. in Physics and Mathematics (1981, Worcester Polytechnic Institute) M.Sc. in Physics (1983, Brown University) Ph.D. in Physics (1987, Massachusetts Institute of Technology) His research focuses on few-nucleon systems, nuclear structure of exotic nuclei, hadron spectroscopy, and experimental techniques using storage rings and radioactive ions. His work involves advanced detector development, Monte-Carlo simulations, and multi-particle detection systems for nuclear reaction studies at low-momentum transfers. Recent publications highlight his contributions to neutron-rich nucleus studies (68Ni), isoscalar resonances, charmonium-like structures, and innovative facilities like the FRS Ion Catcher for precision experiments. His work spans nuclear structure analysis, exotic matter detection, and cutting-edge instrumentation. Scientific Awards: 1981 Salisbury undergraduate award 2013 Fellow of the American Physical Society 2014 Member of Merit, Netherlands Physical Society 2016 GENCO membership award for outstanding contributions 2018 Knight of the Order of the Netherlands Lion He actively collaborates with international teams through projects like NUSTAR, EXL, R3B, BESIII, ANTARES, BINA, and TAPS, and serves on scientific advisory committees including NuPECC (2017) and IPN-Orsay committees (2013-2016). With over 300 journal publications (h-index: 37), his research represents a significant contribution to modern nuclear physics.

• Stem cell biology
• Epigenetics
• Sex chromosomes
• +2 more

Susana Chuva de Sousa Lopes is a leading scientist in developmental biology and stem cell research. Currently Professor at the Leiden University Medical Center (LUMC) since 2019, she previously held Associate Professor and Assistant Professor positions there from 2011-2019. She also serves as Guest Professor at Ghent University Hospital's Department of Reproductive Medicine since 2013. Co-discoverer of Epiblast Stem Cells (EpiSC) Developed the KeyGenes machine learning webtool for stem cell differentiation analysis Board member of Stichting Biowetenschappen en Maatschappij (2021-present) Her research focuses on human gametogenesis and ovarian development, with groundbreaking work on the epithelialized epiblast (PICMI) intermediate during embryonic stem cell derivation. She has received prestigious awards including: ERC Consolidator Grant (2017) VICI award (2019) Two Aspasia awards (2006 and 2011) De Snoo-van't Hoogerhuijs Foundation awards Her lab pioneers single-cell analysis of human fetal/adult ovaries and develops artificial follicle systems for fertility preservation. She also explores in vitro gametogenesis and its applications in reproductive toxicology and contraception research.

• Mechanical Engineering
• Machine Structures
• Mechanization
• +5 more

Ivan Miletić is an Associate Professor at the Faculty of Engineering Sciences, University of Kragujevac, specializing in Machine Structures and Mechanization. His academic career at the university includes significant contributions to mechanical engineering research and education within the Department of mechanical structures and mechanization. His research interests span across several key areas in mechanical engineering, with a strong focus on machine design, structural analysis, and materials science. Professor Miletić has made substantial contributions to the understanding of cycloid reducers, gear design, and the mechanical properties of advanced materials. His work bridges theoretical analysis with practical applications in automotive, aerospace, and industrial machinery sectors. Professor Miletić's publication record demonstrates a strong focus on mechanical design optimization and structural analysis. His recent work has particularly emphasized the development and analysis of cycloid reducers, gear systems, and advanced composites. He has also contributed significantly to design automation methodologies and structural optimization techniques, applying advanced computational approaches to solve complex engineering problems across multiple disciplines. His scholarly contributions have practical applications in diverse fields including automotive engineering, aerospace technology, and industrial machinery design. Professor Miletić maintains an active research profile with publications spanning from 2020 to 2025, indicating ongoing scholarly productivity in mechanical engineering disciplines. As an educator, Professor Miletić has been instrumental in developing curriculum and mentoring students in mechanical engineering disciplines. His election to the position of Associate Professor in 2021 reflects his significant contributions to both research and teaching at the Faculty of Engineering Sciences.

Xinli LiuView profile

Associate Professor

• Drug Delivery Systems
• Nanomedicine
• Cancer Metastases
• +6 more

Xinli Liu is an Associate Professor of Pharmaceutics at the University of Houston (UH) College of Pharmacy since 2016 and serves as Associate Director of the Institute for Drug Education and Research at UH since 2021. She previously held positions at Texas Tech University Health Sciences Center School of Pharmacy, including Assistant Professor (2008-2015) and Tenured Associate Professor (2015-2016). Her research focuses on molecularly targeted drug delivery systems to treat cancer metastases, infectious diseases, and autoimmune conditions. Key areas include nanoparticle design, vaccine adjuvants, spatial pharmacometabolomics, and overcoming biological barriers like the blood-brain barrier. Education: Postdoctoral Fellow at USC (2007), PhD from University of Kentucky (2004), B.S. from Lanzhou University (1999). Her work employs multidisciplinary approaches combining nanotechnology, cancer biology, and imaging techniques. Recent innovations include inhalable vaccines against sarbecoviruses and nanoparticle-based STING agonists for respiratory virus protection. Liu Lab research emphasizes four pillars: 1) Barrier-Overcoming Nanotherapeutics, 2) Multidrug Resistance Solutions, 3) Immunoengineering for Cancer/Infectious Diseases, and 4) Precision Medicine Tools via Mass Spectrometry Imaging. She has contributed to patents on vaccine development, blood-brain barrier drug delivery, and coronaviral membrane protein complexes. Her funding portfolio includes NIH grants and industry collaborations, though specific grants are not detailed here. The Liu Lab maintains active collaborations in virology, oncology, and biomedical engineering, with a focus on translational research from preclinical models to clinical applications.