جست‌وجوی استاد و پژوهشگر

Adelina Ilieمشاهده پروفایل

استاد پژوهشی

• Nanoscience
• Nanotechnology
• Graphene Research
• +۷ مورد دیگر

Dr. Adelina Ilie is a Research Professor in the Department of Physics at the University of Bath, where she leads research in Nanoscience and Nanotechnology through multiple interdisciplinary centers including the Centre for Nanoscience and Nanotechnology, Condensed Matter Physics CDT, Centre for Therapeutic Innovation, Condensed Matter and Quantum Materials group, and NanoBioElectronics research. Her research spans fundamental to applied studies of functional nanomaterials with designed atomic-scale behavior. Specializing in graphene and related 2D materials as well as 2D molecular networks, her group employs advanced scanning probe microscopy techniques under ultra-high vacuum and cryogenic conditions to engineer quantum properties for novel applications in nanoelectronics, spintronics, and biomedical sensing. Her recent publications reveal strong trends in quantum materials engineering, particularly in superlattice structures, hybrid 2D systems, and bio-nano interfaces. The research demonstrates sophisticated manipulation of electronic, optical, and thermal properties at the atomic scale, with increasing focus on biomedical applications in recent years. Dr. Ilie actively supervises doctoral students and has served as external examiner for PhD theses at prestigious institutions including University of Cambridge (2024, 2021), University of Oxford (2018), and University of Southampton (2011). Her research is supported by significant grants from EPSRC, MRC, Sir Halley Stewart Foundation, and University of Bath. Her laboratory maintains state-of-the-art facilities for atomically-resolved scanning probe microscopy (STM and AFM) in ultra-high vacuum and cryogenic environments, complemented by chemical vapor deposition systems for nanomaterial fabrication. She maintains active collaborations across Bath's departments of Pharmacy & Pharmacology, Chemistry, and Biology & Biochemistry, as well as with international research institutes specializing in nanoscience.

• Mechanical oscillations
• Nonlinear systems
• Stability
• +۶ مورد دیگر

Professor Tomasz Kapitaniak is a distinguished academic in the field of nonlinear dynamics and theoretical mechanics. He serves as a Professor of Theoretical and Applied Mechanics and Head of the Division of Dynamics at the Faculty of Mechanical Engineering, Technical University of Lodz, Poland. His career spans over three decades at the university, where he has made significant contributions to the understanding of nonlinear systems, chaos theory, and mechanical oscillations. Professor Kapitaniak holds advanced degrees in both mechanics and applied mathematics from the Technical University of Lodz and the University of Lodz. His educational background includes: M.Sc. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1982) M.Sc. in applied mathematics, Faculty of Mathematics, Physics and Chemistry, University of Lodz (1985) Ph.D. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1985) D.Sc. in mechanics, Faculty of Mechanical Engineering, Technical University of Lodz (1988) Professor of technical science, title given by the President of Poland (1995) His research focuses on nonlinear dynamics, with particular emphasis on mechanical oscillations, stability, bifurcations and chaos, stochastic dynamics, and applications of nonlinear dynamics in mechanical engineering. Professor Kapitaniak is renowned for his work on the development of methods for controlling chaos without feedback, identification of new types of bifurcations, synchronization mechanisms in coupled mechanical oscillators, and explaining the origin of randomness in mechanical systems. His research has evolved from fundamental theoretical work to increasingly applied studies involving complex networks, biological systems, and engineering applications. Professor Kapitaniak has published over 300 scientific papers in renowned journals, cited over 8,000 times. His work exhibits a consistent focus on understanding complex nonlinear phenomena across various physical systems. The trend in his recent publications shows continued exploration of synchronization phenomena, extreme events in dynamical systems, and applications of nonlinear dynamics to biological, mechanical, and physical systems. His most recent work demonstrates a growing interest in multistability, chimera states, and the prediction of tipping phenomena in complex systems. Among his notable scientific achievements and distinctions are: Election as a member of the Polish Academy of Sciences (corresponding member in 2013, ordinary member in 2019) Election to Academia Europaea in 2021 Honorary doctorates from Saratov State University (Russia, 2001) and Lublin University of Technology (Poland, 2014) Multiple prestigious fellowships including the British Council Fellowship (1989), King Abdul Aziz Award Fellowship (1990), and Fulbright Fellowship (1997) Editorial roles including Associate editor of Chaos, Solitons and Fractals since 1990 and member of editorial boards of several other prestigious journals Throughout his career, Professor Kapitaniak has been actively involved in mentoring the next generation of researchers, having supervised numerous PhD students including Jerzy Wojewoda, Anton van Wyk, Barbara Błażejczyk-Okolewska, Andrzej Stefański, Andrzej Kozłowski, and Przemysław Szumiński. He has secured significant research funding from various national and international sources including the Ministry of Science and Higher Education (Poland), Deutscher Akademischer Austauschdienst, The Royal Society of London, and others. His research team has maintained strong international collaborations with institutions worldwide, including universities in the United States, United Kingdom, Germany, Brazil, Russia, and Ukraine. He leads the Division of Dynamics at the Technical University of Lodz, which serves as a hub for research in nonlinear dynamics, mechanical oscillations, and related fields. The division maintains strong international collaborations with institutions worldwide and continues to produce cutting-edge research in the field of nonlinear dynamics and its applications.

Lars Diekhönerمشاهده پروفایل

دانشیار

• Materials Physics
• Nanoscience
• Surface Physics
• +۳ مورد دیگر

Lars Diekhöner is an Associate Professor in the Department of Materials and Production at Aalborg University (Denmark), affiliated with The Faculty of Engineering and Science. His research focuses on surface physics, materials science, and nanotechnology, with emphasis on molecular adsorption, nanostructured materials, and quantum phenomena at surfaces. He holds a PhD in Physics from the University of Southern Denmark (2000) and completed a postdoc at the Max-Planck-Institut für Festkörperforschung (2001–2004). Education: PhD in Physics, University of Southern Denmark (2000) External Positions: Postdoc, Max-Planck-Institut für Festkörperforschung (2001–2004) His research interests include nanoscale carrier confinement in graphene , magnetic molecules on surfaces , and environmentally friendly coatings . Recent work explores Moiré superstructures for molecular patterning and terahertz spectroscopy for carrier dynamics analysis. He leads projects like Q-MAT (Magnetic molecules on surfaces) and METALcoat (Eco-friendly coating alternatives). Publications span over 20 years, with contributions to Physical Review B , Scientific Reports , and Advanced Materials Interfaces . His work often bridges surface science with applications in electronics, energy, and biomedical engineering. Grants/Projects: Q-MAT: Magnetic molecules on surfaces (2020–2025) METALcoat: Eco-friendly coating (2020–2022) Lab/Teams: Nanostructured Materials Group at Aalborg University's Nano-Science Center.

• Nanophotonics
• Infrared Spectroscopy
• Metamaterials
• +۴ مورد دیگر

Prof. Dr. Thomas Taubner serves as a Professor at the Institute of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences at RWTH Aachen University. He leads the IR Nano-Optics and Metamaterials research group, operating from Campus Melaten (Physics Building 26, Room A 104). His team focuses on cutting-edge nanophotonic technologies with applications in infrared optics and reconfigurable optical systems. Taubner's research spans nanophotonics, infrared spectroscopy, metamaterials, and phase-change materials, with particular expertise in plasmonic phase-change materials like In 3 SbTe 2 . His group pioneers techniques for dynamic control of light at the nanoscale through near-field microscopy, beam steering, and thermal emission manipulation. Key areas include 2D material characterization, phonon polariton engineering, and ultrafast optical phenomena in semiconductor heterostructures. Analysis of his recent publications reveals a dominant focus on programmable infrared nanophotonics using plasmonic phase-change materials. His work consistently demonstrates reconfigurable optical devices through direct laser writing, geometric phase metasurfaces, and real-space imaging of confined electromagnetic waves. The research shows strong interdisciplinary connections between condensed matter physics, materials science, and optical engineering, with practical applications in thermal management, sensing, and next-generation optical computing. Prof. Taubner actively supervises doctoral and master's students, regularly advertising thesis positions and doctoral openings through his research group. His team maintains advanced laboratory facilities for nanofabrication, near-field optical characterization, and ultrafast spectroscopy, supporting both fundamental research and technology development in infrared nanooptics.

Joseph Talghaderمشاهده پروفایل

استاد

• Optics
• Microelectromechanical Systems
• Nanoelectromechanical Systems
• +۷ مورد دیگر

Joseph Talghader is the Cymer Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, where he has been a faculty member since 1997, progressing from Assistant to Full Professor. He leads the Optical Micro+Nanosystems Group and holds appointments in the College of Engineering. Dr. Talghader's educational background includes a B.S. in Electrical Engineering from Rice University, followed by an M.S. (1993) and Ph.D. (1995) from UC Berkeley, where he was awarded an NSF Graduate Fellowship. Prior to joining academia, he worked at Texas Instruments and Waferscale Integration in process development and memory design. His research spans optics and micro/nano-mechanical systems with particular focus on infrared detectors, optical coatings, heat transfer mechanisms, and microsensors. His group has developed groundbreaking technologies including the highest sensitivity uncooled thermal detectors and the first tunable multispectral thermal detectors. Recent work has expanded into applications for glacial ice analysis and high-power laser systems. His research integrates theoretical modeling with advanced fabrication techniques, particularly atomic layer deposition. Analysis of his 15 most recent publications reveals a consistent focus on infrared technologies, optical coatings, and thermal phenomena. His work demonstrates strong interdisciplinary connections between electrical engineering, materials science, and optical physics, with increasing emphasis on practical applications in environmental sensing and high-power laser systems. Among his notable recognitions are three 3M Faculty Awards and being a Finalist for the Minnesota Cup for entrepreneurs. He has served on various program committees including the Army Research Office Electronics Division strategic planning panel and has chaired multiple IEEE conferences. Dr. Talghader actively mentors students and postdocs, with numerous publications listing junior researchers as lead authors. His group has secured significant research funding, though specific grant details aren't provided in the source material. He currently serves as an Editor for the NPG journal Light: Science and Applications, demonstrating his standing in the optics research community. The Optical Micro+Nanosystems Group maintains strong industry and interdisciplinary collaborations, with research spanning from fundamental materials properties to practical device implementation. Current projects focus on improving infrared detection technologies, developing advanced optical coatings for high-power applications, and exploring novel sensing mechanisms for extreme environments.

• Optical fiber technology
• Photonics
• Biosensors
• +۵ مورد دیگر

Dr. Stephen Warren-Smith is a Senior Research Fellow at the Future Industries Institute, University of South Australia (UniSA), where he conducts cutting-edge research in optical fiber technology and photonics. He is affiliated with the Laser Physics and Photonic Devices Laboratories within UniSA STEM (Science, Technology, Engineering and Mathematics), and serves as a Research Degree Supervisor for graduate students. Dr. Warren-Smith's primary research interests span optical fiber technology, photonics, and biosensors, with a particular focus on developing novel fiber optic sensing platforms for biomedical and environmental applications. His work encompasses microstructured optical fibers, fluorescence sensing, and the integration of machine learning techniques for enhanced sensor performance. He has made significant contributions to the fields of harmonic generation in optical fibers, NV center-based quantum sensing, and multimode fiber applications. Analysis of Dr. Warren-Smith's recent publications reveals a strong trend toward developing sophisticated fiber optic sensing platforms with diverse applications. His work demonstrates increasing integration of advanced materials (like diamond with NV centers) and computational methods (particularly deep learning) to overcome traditional limitations in optical sensing. The research spans fundamental physics of light-matter interactions in fibers to practical applications in medical diagnostics, environmental monitoring, and industrial process control. A notable pattern is the development of multi-parameter sensing capabilities within single fiber platforms, enabling simultaneous measurement of various physical and chemical properties. Dr. Warren-Smith has secured significant research funding including ARC Future Fellowships (FT200100154), ARC Discovery Projects (DP190102896), and support from the Australian National Fabrication Facility (Optofab Node) utilizing Commonwealth and South Australian State Government resources. His research has received substantial citation counts, with several papers cited multiple times in Web of Science and Scopus. Dr. Warren-Smith leads research activities within the Laser Physics and Photonic Devices Laboratories at UniSA STEM. His team specializes in the design, fabrication, and characterization of advanced optical fiber devices, with particular expertise in microstructured optical fibers, suspended core fibers, and integrated photonic sensing platforms. The laboratory maintains strong connections with the Australian National Fabrication Facility (Optofab Node) for advanced device fabrication capabilities and collaborates extensively with institutions including RMIT University, University of Melbourne, University of Adelaide, and international partners in China.

Fraser Kingمشاهده پروفایل

استادیار

• Climate and Climate Change
• Radiation and Remote Sensing
• Synoptic Meteorology
• +۱۳ مورد دیگر

Fraser King is an incoming Assistant Professor in the Department of Atmospheric and Oceanic Sciences (AOS) at the University of Wisconsin–Madison, starting in Winter 2026. He holds a PhD in Machine Learning and Remote Sensing of Precipitation from the University of Waterloo (2022) and is currently a postdoctoral research associate at NASA Goddard Space Flight Center. His research integrates machine learning with atmospheric physics to advance precipitation and snowfall retrieval, cloud microphysics, and climate modeling. He has held research positions at the University of Michigan and NASA Jet Propulsion Laboratory. His research interests include: Climate and Climate Change Radiation and Remote Sensing Synoptic Meteorology Atmospheric and Cloud Physics Large Scale Dynamics Machine Learning and Model Interpretability Arctic Snowfall Prediction His recent publications reflect a strong trend in applying deep learning (e.g., U-Net, CNNs) and unsupervised methods (PCA, t-SNE, UMAP) to radar and satellite data for precipitation and snow microphysics. Key themes include radar gap inpainting, melting layer detection, and dimensionality reduction for physical interpretation. His work bridges geoscience and AI, aiming for interpretable models that enhance physical understanding. Scientific awards and professional service include: Finalist for the 2023 Governor General's Gold Medal, University of Waterloo Associate Editor, Journal of Atmospheric and Oceanic Technology (AMS) Member, AMS Committee on Artificial Intelligence Applications to Environmental Science Executive Council Member, AGU Precipitation Technical Committee Executive Member, Eastern Snow Conference Research Board Fraser King has mentored students through research projects and led educational initiatives such as a 12-week course on machine learning for land cover classification. He has secured research experience through internships at Aquanty Inc. and multiple NASA-affiliated institutions. He founded MapsByFraser, a company combining cartography and satellite data, and has collaborated with Google's Quantum AI team. His technical skills span Python, deep learning frameworks, and high-performance computing platforms. He leads several major research projects: Towards Interpretable Physical Models : Using sparse autoencoders and nonlinear dimensionality reduction to interpret geoscience models. Microphysical Dimensionality Reduction : Applying PCA, t-SNE, and UMAP to identify physical modes in precipitation data. BlindPaint : A U-Net for radar gap inpainting in spaceborne systems. DeepPrecip : A deep learning model for surface precipitation retrieval. iPhone LiDAR : Using consumer smartphones for snow depth measurement via drones. NRCan Machine Learning Land Cover Classifier : Training ML models on Sentinel-2 data. Climate Model Calibration : Using ML to correct biases in snow-related climate variables. CloudSat Snowfall Validation : Validating high-latitude snowfall estimates. Snow Modelling : A Rust-based physical/temperature-index snow model.

Rudolf Bratschitschمشاهده پروفایل

استاد

• Ultrafast quantum optics
• Solid state nanosystems
• Ultrafast magnetism
• +۶ مورد دیگر

Rudolf Bratschitsch is a Professor at the Physics Institute of the University of Münster, where he leads an active research group focused on ultrafast phenomena in solid-state nanosystems. His research spans multiple cutting-edge areas of condensed matter physics and nanotechnology with strong connections to international collaborators. His primary research interests include: Ultrafast quantum optics with solid state nanosystems Ultrafast magnetism and THz spectroscopy Ultrafast (magneto-)plasmonics Ultrafast spintronics Two-dimensional materials and transition metal dichalcogenides Spin-wave dynamics and magnonics Bratschitsch's recent publications demonstrate significant contributions to understanding exciton dynamics in 2D materials, spin-wave propagation in magnetic insulators like yttrium iron garnet (YIG), and quantum optical phenomena in hexagonal boron nitride. His work bridges fundamental physics with potential applications in quantum information processing and advanced optical technologies. His group has received substantial funding, including the Collaborative Research Center CRC 1459 'Intelligent Matter' which was extended for four years by the German Science Foundation in December 2024. They have also organized international conferences such as EDISON22 on Electron Dynamics in Semiconductors, Optoelectronics and Nanostructures. Bratschitsch mentors numerous students: PhD Students: Jannis Bensmann, Akhilesh Dubey, Vedhanth Senthiappan Vellaiappan Uthayasurian Master Students: Janne Oskar Becker, Ahmad El Kadri, Pabin Rai, Devika Sivankutty, Richard Sliwka Bachelor Students: Paul Großerhode, Sven Niehues His group has won several awards, including a poster prize for Master's student Janne Becker at the Münster Nanofabrication Facility Day 2024, highlighting the quality of research and training provided.

Stephen Wuمشاهده پروفایل

استادیار

• Quantum Materials Science
• Nanoscale Electronic Devices
• Spintronics
• +۳ مورد دیگر

Stephen Wu is an Assistant Professor of Electrical and Computer Engineering and Physics at the University of Rochester. His research focuses on merging quantum materials science with nanoscale electronic devices to advance electronics beyond Moore's Law. He holds a B.S. and B.A. from UC Berkeley (2006), and M.A. and Ph.D. in Physics from UC Berkeley (2009, 2012). Before joining Rochester in 2017, he was a postdoctoral scholar at Argonne National Laboratory's Materials Science Division. Key research interests include spintronic devices for nanoscale spin current manipulation, complex oxide thin films for quantum materials exploration, and 2D systems for topological electronic devices. His work integrates experimental condensed matter physics with materials science and electrical engineering. Recent studies emphasize strain engineering in 2D materials such as MoTe2 and graphene, exploring strain-induced phase changes, moiré patterns, and superconductivity. He has pioneered scalable fabrication techniques for van der Waals heterostructures and investigated strain effects on electronic properties. His publications span topics like memristor performance, moiré engineering, and nanoscale strain control. Collaborative efforts focus on interdisciplinary challenges in quantum materials and device miniaturization.

Dimitrios Anagnostouمشاهده پروفایل

دانشیار

• Antennas
• Microwave Components
• Electromagnetics
• +۷ مورد دیگر

Dr. Dimitrios Anagnostou is an Associate Professor at Heriot Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems (ISSS). He holds a Marie Skłodowska-Curie Fellowship and leads research in reconfigurable antennas, metamaterials, and biomedical sensing. He earned his PhD from the University of New Mexico (2005), followed by postdoctoral work at Georgia Tech and faculty roles at SDSMT before joining Heriot Watt in 2016. His research focuses on electromagnetic devices for aerospace, defense, and healthcare applications, including reconfigurable antennas, metamaterials, and AI-driven radar systems. He has published 169 papers and received 15+ awards, including the IEEE John D. Kraus Antenna Award and DARPA Young Faculty Award. Dr. Anagnostou serves as an Associate Editor for IEEE Transactions on Antennas and Propagation and actively contributes to conference committees. His lab specializes in antenna arrays, radar sensing, and functional materials like vanadium dioxide (VO₂). He supervises PhD students and supports interdisciplinary projects in sustainable RF electronics and medical imaging.

Stephanie Leeمشاهده پروفایل

دانشیار

• Materials Science
• Solid-State Chemistry
• Organic Semiconductors
• +۴ مورد دیگر

Stephanie Lee is an Associate Professor of Chemistry at New York University, affiliated with the College of Arts & Science. Her research focuses on materials and solid-state chemistry, with emphasis on organic and hybrid semiconductors for optoelectronics and solar energy applications. She leads the Lee Research Lab, which engineers crystals to address climate change and energy sustainability. Education: B.S. in Chemical Engineering (MIT), Ph.D. in Chemical Engineering and Materials Science (Princeton University), followed by a Provost Postdoctoral Fellowship at NYU. Research interests include crystal engineering, semiconductor materials, x-ray diffraction, and nanoconfined systems. Her lab explores twisted crystals, perovskite nanowires, and scaffold-directed crystallization to enhance optoelectronic device performance. Key Awards: NSF CAREER Award (2019), Stevens Early Career Award (2019) Publications emphasize crystal growth mechanisms and material stability, with recent work on chiral perovskites and self-patterning crystalline films. She advises multiple graduate students and collaborates on projects funded through interdisciplinary grants. Labs/Teams: Director of the Lee Research Lab within NYU’s Department of Chemistry, contributing to the Molecular Design Institute.

Jesper Nygårdمشاهده پروفایل

استاد

• Solid state physics
• Nanophysics
• Quantum technology
• +۷ مورد دیگر

Jesper Nygård is a Professor at the Niels Bohr Institute, University of Copenhagen, specializing in solid state physics, nanophysics, and quantum technology. He leads the Center for Quantum Devices and has held leadership roles including Head of Section for Nanophysics and Solid State Physics (2007–2017) and Deputy Head of Research (2017–present). His research focuses on hybrid superconductor-semiconductor systems, nanowire-based quantum devices, and low-temperature quantum transport. PhD in experimental nanophysics (2000) and MSc/BSc in physics/mathematics from the University of Copenhagen International research experience at Harvard, Berkeley, and CNRS Grenoble His work bridges nanofabrication, quantum electronics, and Kondo physics, with recent publications analyzing nanowire junctions, microwave dynamics in superconducting systems, and heat dissipation mechanisms. He co-founded multiple technology startups and served as a Danish astronaut candidate (2005–2008). Scientific Awards: Member of the Royal Danish Society of Letters Member of the Danish Academy of Sciences

Yafei Renمشاهده پروفایل

استادیار

• Geometric Phase Effects
• Nonequilibrium Phenomena
• Electron-Phonon Coupling
• +۷ مورد دیگر

Yafei Ren is an Assistant Professor in the Department of Physics & Astronomy at the University of Delaware, part of the College of Arts & Sciences. She holds a B.S. and Ph.D. from the University of Science and Technology of China and joined UD in August 2023. Her research focuses on geometric phase effects and nonequilibrium phenomena in condensed matter systems, particularly electron-phonon-coupled systems with applications in spintronics, magnonics, and phononics. Her research interests include the study of topological materials, nonlinear magnonic processes, and the interplay between magnetism and band topology. Notable projects involve engineering corner states in topological insulators, exploring exciton-magnon coupling in layered semiconductors, and investigating light-driven phonon chirality in paramagnetic systems. Ren's work spans theoretical and applied condensed matter physics, with a focus on quantum materials and their novel functionalities. Her recent publications highlight advancements in topological phase transitions, orbital magnetization dynamics, and the design of higher-order topological insulators. She advises several graduate students and postdocs, including Saurabh, Randy, Will, Ali Kefayati, and Sanjib Das.

Glenn Boremanمشاهده پروفایل

استاد

• Infrared Optics
• Metamaterials
• Antenna Design
• +۳ مورد دیگر

Glenn Boreman is a Professor and Chair of the Department of Physics and Optical Science at the University of North Carolina at Charlotte (UNC Charlotte). He also serves as Director of the Center for Optoelectronics & Optical Communications. His academic journey includes a BS in Optics from the University of Rochester and a PhD in Optics from the University of Arizona. Previously, he spent over 27 years at the University of Central Florida, supervising 25 PhD students to completion. His research focuses on infrared antennas, metamaterials, frequency-selective surfaces, and nano-scale optical phenomena. Notable contributions include pioneering work on antenna-coupled infrared sensors and the design of advanced optical systems. He has authored/co-authored over 190 journal articles and four textbooks, including Infrared Detectors and Systems and Modulation Transfer Function in Optical & Electro-Optical Systems . Prof. Boreman holds prestigious fellowships from SPIE, IEEE, the Optical Society of America, and the Military Sensing Symposium. His awards include the 'Best Paper' honor at the 2001 AIAA/BMDO meeting. His lab, the Infrared Systems Lab, actively explores nanofabrication, high-resolution lithography, and advanced sensor technologies. Current doctoral students include Matthew Potter and Frances Bodrucki, both researching infrared devices and metamaterials. He directs interdisciplinary projects involving collaborators from materials science, electrical engineering, and astrophysics.

• Large-scale nonparametric and kernel methods
• Robust and trustworthy machine learning
• Multiresolution data and data fusion
• +۳ مورد دیگر

Professor Dino Sejdinovic is a faculty member in the School of Computer and Mathematical Sciences at the University of Adelaide, part of the Faculty of Sciences, Engineering and Technology. Previously, he held positions as Lecturer and Associate Professor at the University of Oxford's Department of Statistics (2014–2022). His academic qualifications include a PhD in Electrical and Electronic Engineering from the University of Bristol (2009) and a Diplom in Mathematics and Theoretical Computer Science from the University of Sarajevo (2006). His research focuses on the intersection of statistical methodology and machine learning, encompassing large-scale nonparametric methods, robust machine learning, multiresolution data fusion, and measures of dependence. He has contributed to kernel methods, Bayesian inference, causal discovery, and applications in climate science, quantum computing, and social science data analysis. Education: PhD in Electrical and Electronic Engineering, University of Bristol (2009) Diplom in Mathematics and Theoretical Computer Science, University of Sarajevo (2006) Sejdinovic's work emphasizes bridging theoretical foundations with practical applications, such as cloud type classification using vision transformers and machine learning-driven quantum device optimization. His recent publications explore topics like kernel-based causal inference, Bayesian neural networks, and uncertainty quantification in statistical models. Advising and grants: Eligible to supervise Masters and PhD students in machine learning and statistics, though specific grants or student advisees are not explicitly listed in the provided texts.