Particle Tracking Professors and Supervisors | ApplySharif

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Martin JuckerView profile

Senior Lecturer

University of New South WalesAustralia

Dr Martin Jucker is a Senior Lecturer at the Climate Change Research Centre under the Faculty of Science at the University of New South Wales . He serves as Master's Program Director for the NSW Bushfire and Natural Hazards Research Centre and holds associate roles at the ARC Centre of Excellence for Climate Extremes and Australian Centre for Excellence in Antarctic Science . His research bridges atmospheric dynamics , climate modeling , and stratosphere-troposphere coupling , with a focus on sudden stratospheric warmings , extratropical cyclones , and climate extremes . A ORCID-registered scientist, he has received awards like the Wiley Top Cited Article (2021-22) and WCRP Future Leader in Climate Science (2016). As an educator, he convenes the undergraduate course 'Fundamentals of Atmospheric Science' (CLIM2001/PHYS2801) covering radiation, thermodynamics, and climate modeling. His PhD studentship at EPFL and postdoctoral work at Princeton , New York University , and University of Melbourne established expertise in wave-mean flow interaction and plasma physics . With over 20 journal articles in 2024-2025 alone, his work spans stratospheric water vapor impacts , zonal wave patterns , and convective biases in climate models . His software package aostools enables proper Eliassen-Palm flux vector visualization . Scientific Awards include: Top Cited Article (Wiley, 2021-22) WCRP Future Leader of Climate Science (2016) Young Scientist Award Nomination (WMO, 2017) Art of Science Winner (Princeton, 2013) AIP Physics of Plasmas Editor's Choice (2012) His supervision of Valentina Ortiz Guzman to PhD completion in 2024 marks a milestone in his mentorship career. Beyond academia, he contributes to public communication via climate visualizations and serves as a lifeguard at Coogee SLSC , while maintaining creative pursuits as saxophonist in bands like Upside Under and The Big Thong .

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Jacopo SerpieriView profile

Assistant Professor

Polytechnic University of TurinItaly

Jacopo Serpieri is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, Italy. He holds a Ph.D. in Aerodynamics from Delft University of Technology (2018) and worked at ASML Netherlands (2018-2020) and Karlsruhe Institute of Technology (2020-2022) before joining Polito. His research focuses on active flow control and turbulent flow dynamics , with applications to drag reduction and climate action initiatives.

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Stephen BuckmanView profile

Professor

Australian National University (ANU)Australia

Stephen Buckman is a Professor at the Australian National University (ANU) within the Research School of Physics and Engineering (RSPE) . He leads the Positron Research Group and has held significant administrative roles including Head of the Atomic and Molecular Physics Laboratories (1996-2000) , Associate Director (Academic) of RSPE (2000-2005) , and Director of RSPE (2012-present) . His academic journey includes a PhD from Flinders University (1979), postdoctoral positions at the University of Manchester and JILA (University of Colorado), and leadership in the Centre of Excellence for Antimatter-Matter Studies (2006-2012) . Education: BSc and PhD in Atomic Physics from Flinders University Positions: Research Fellow (1983-1987), Senior Research Fellow (1987), Fellow (1989), Senior Fellow (1993), Professor (1999), Fulbright Senior Scholar (2000-2001), Director RSPE (2012) Research Interests focus on Atomic and Electron Spectroscopy , Positron Physics , and Applications of Electron and Positron Physics . His work spans experimental and theoretical studies on low-energy particle interactions with atoms and molecules, cross section measurements for transport modeling in gases and liquids, and positron annihilation lifetime spectroscopy. Key applications include biomedical modeling, radiation chemistry, and material science. Scientific Contributions include over 15 recent publications (2017-2025) analyzing positron and electron scattering dynamics, cross section data compilation, and transport modeling in biological and soft-condensed systems. His research group has developed advanced techniques like pulsed positronium beams and magnetized electron beam apparatus. Awards: Fellow of the American Physical Society (APS), Institute of Physics UK (IoP), and Australian Institute of Physics (AIP) Honors: Flinders University Distinguished Alumni Award (2006), ANU Vice Chancellor’s Award (2008), Flinders Convocation Medal (2012) Buckman’s career combines cutting-edge research with academic leadership, exemplified by his founding of the Centre of Excellence for Antimatter-Matter Studies and his ongoing directorship of RSPE.

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Rolf MöllerView profile

Professor

University of Duisburg-EssenGermany

The Möller working group at the Faculty of Physics, University of Duisburg-Essen specializes in surface physics , electron transport , and nanoscale imaging . Their research employs advanced techniques like scanning tunneling microscopy (STM) and contact electrification analysis to study electronic properties of heterostructures, quantum phenomena on surfaces, and molecular layer dynamics. Current Research: Investigating contact electrification mechanisms using microsecond-scale charge measurement Exploring surface states in precious metals and their interaction with adsorbates Analyzing electron transport in topological insulators and ultrathin films Key Publications Trends: Recent work focuses on quantum transport , phase transitions , and electron dynamics in nanostructures. Articles from 2021–2016 highlight surface charge analysis , molecular reaction pathways , and thermoelectric effects . Instrumentation: The group develops high-precision sensors like sub-attoampere electrometers and terahertz STM systems for ultrafast measurements.

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Katharina SpalekView profile

Professor

University DuesseldorfGermany

Prof. Dr. Katharina Spalek serves as Professor of Psycho- and Neurolinguistics at Heinrich Heine University Düsseldorf's Faculty of Arts and Humanities within the Institute of Linguistics since her appointment in August 2021. Her research examines human language processing across multiple linguistic levels—from phonetics to narrative discourse—with particular emphasis on focus alternatives and memory mechanisms. Current affiliations include leadership of ERC-funded projects and active participation in international research collaborations. Her educational background spans German linguistics and psychology studies at Heidelberg University, University of Oxford, and Humboldt University Berlin, culminating in a doctoral degree from Radboud University Nijmegen (2005). Postdoctoral research followed in the USA and UK before her 2007 appointment as junior professor at Humboldt University Berlin. Spalek's research trajectory evolved from language production in monolingual/bilingual speakers toward language comprehension, investigating how humans process sounds, words, phrases, and narrative discourse. Recent work integrates electrophysiological (ERP), behavioral, and computational methods to explore focus alternatives, cross-linguistic variation (including Vietnamese tonal systems), and the interplay between linguistic and visual information. Her experimental paradigms frequently employ picture-word interference, recall tasks, and discourse analysis to uncover cognitive mechanisms underlying alternative set representation. Analysis of her 15 most recent publications (2019-2024) reveals three dominant trends: (1) neurocognitive investigation of focus alternatives using ERP methodology, (2) cross-linguistic studies of intonation and tonal processing, and (3) computational modeling of human performance in language tasks. These works consistently bridge theoretical linguistics with experimental validation, emphasizing memory encoding for contextual alternatives and individual differences in processing. ERC Starter Grant for 'focus alternatives in the human mind' (2016) Posterpreis at 17th Herbsttreffen Patholinguistik (2023) Her ERC-funded research program examines how focus particles and pitch accents modulate alternative set representation in production and comprehension. Current projects investigate neural correlates of discourse memory, Vietnamese intonation patterns, and computational models of human language processing limitations. Collaborative work spans institutions in Germany, Netherlands, and Vietnam, with methodological emphasis on controlled experiments and cross-linguistic comparison. Spalek leads the Psycho- and Neurolinguistics research group within the Institute of Linguistics, utilizing facilities for ERP recording, eye-tracking, and behavioral experimentation. Her team conducts interdisciplinary research at the intersection of linguistics, cognitive science, and neuroscience, with particular focus on how information structure shapes language processing and memory.

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Amit SawantView profile

Professor

University of Maryland, BaltimoreUnited States

Amit Sawant is a Professor and Vice Chair of Medical Physics in the Department of Radiation Oncology at the University of Maryland School of Medicine. His research focuses on advancing image-guided radiotherapy techniques, particularly for stereotactic body radiotherapy (SBRT) and motion management in cancer treatment. His academic background includes: B.E.(Hons.) in Biomedical Engineering from University of Mumbai (1996) M.S. in Biomedical Engineering from University of Tennessee (1999) Ph.D. in Biomedical Engineering from University of Michigan (2006) Dr. Sawant's research centers on two interconnected domains: Small Animal Image-Guided Radiotherapy (SA-IGRT) and Next-Generation Motion Management. In SA-IGRT, he develops orthotopic tumor models for prostate, lung, and pancreatic cancer using the SARRP platform, investigates thermally-modulated radiotherapy to widen therapeutic windows, and creates advanced imaging techniques for mapping post-radiotherapy inflammation. His motion management research addresses 4D anatomical changes through patient-specific volumetric motion modeling, GPU-accelerated particle swarm optimization for 4D treatment planning, and real-time tumor tracking with dynamic multileaf collimators (MLC) that compensate for translation, rotation, and deformation. His publication record (2008-2016) demonstrates consistent innovation in motion-adaptive radiotherapy, with emphasis on lung SBRT. Key themes include 4D treatment planning optimization, real-time MLC tracking systems, motion phantom development, and MRI-based guidance – all converging toward submillimeter targeting accuracy for moving tumors. His scientific recognition includes: John R. Cameron Young Investigator Award (AAPM 2004) ASTRO Basic Science Research Grant Award (2008) Multiple 'Best in Physics' selections at AAPM/ASTRO meetings (2010, 2014, 2015, 2016) ICCR Young Investigator Award (2007) Dr. Sawant has secured over $4.5 million in research funding as Principal Investigator, including two NIH R01 grants on personalized motion management and radiation injury to pulmonary structures. His industry collaborations with VisionRT and Varian Medical Systems have translated theoretical advances into clinical motion management solutions. He leads active research teams developing orthotopic tumor models and implementing 4D radiotherapy workflows for precision cancer treatment.

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Stephen GibsonView profile

Professor

Royal Holloway, University of LondonUnited Kingdom

Stephen Gibson is a Professor and Head of Department in the Department of Physics at Royal Holloway, University of London. He serves as Deputy Director of the John Adams Institute for Accelerator Science and leads the Accelerator Group at Royal Holloway. His research focuses on accelerator physics, particularly the development of advanced instrumentation for determining properties of intense hadron beams. He collaborates with CERN Beam Instrumentation on projects for the High Luminosity LHC and has built key instrumentation for CERN's Linac4. Professor Gibson's educational background includes: D.Phil in Experimental Particle Physics from St. John's College, Oxford (2004) MSci Physics from University of Bristol (2000) Professor Gibson's research spans accelerator physics and particle physics instrumentation. His work includes developing Electro-Optic Beam Position Monitors for the High Luminosity LHC, building transverse laserwire emittance scanners for CERN's Linac4, and implementing novel laserwire systems at the Front End Test Stand at RAL. He also studies beam-induced backgrounds affecting the ATLAS experiment. His research has significant implications for advancing particle accelerator technology and improving detector systems for high-energy physics experiments. His recent publications demonstrate a strong focus on accelerator instrumentation, beam diagnostics, and ATLAS experiment support. The research spans computational methods for particle detection, advanced beam monitoring systems, and searches for new physics phenomena. His work bridges theoretical concepts with practical engineering solutions for cutting-edge particle physics experiments. Among his recognitions: Award-winning Outreach Coordinator Professor Gibson has supervised numerous research projects and students, with 8 supervised works documented. He leads significant research grants including the John Adams Institute Core Grant (2025-2028), High Luminosity Large Hadron Collider UK Phase-II project, and the John Adams Institute for Accelerator Science project. His funding comes primarily from the Science & Technology Facilities Council (STFC). He leads the Accelerator Group at Royal Holloway, which collaborates closely with CERN Beam Instrumentation and other international partners. The group focuses on developing next-generation beam instrumentation and addressing challenges in particle accelerator physics.

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Pawel DanielewiczView profile

Professor

Michigan State UniversityUnited States

Pawel Danielewicz is a Professor in the Department of Physics & Astronomy at Michigan State University, affiliated with the National Superconducting Cyclotron Laboratory (NSCL). His research focuses on nuclear theory, particularly the dynamics of heavy-ion collisions and the equation of state for dense nuclear matter. Education: Ph.D., University of Warsaw (1981) His work explores high-pressure nuclear environments created in central heavy-ion reactions, using transport theory to model compression, thermalization, and decompression phases. Key areas include symmetry energy , isospin diffusion , and quantum transport with applications to neutron stars and ultracold quantum gases. Recent publications emphasize deblurring techniques for source function reconstruction, optical potentials for rare-isotope beams, and equation of state constraints from GW170817. Articles from 2025-2022 span topics like pion production , neutron skins , and nonequilibrium Green's functions . His theoretical frameworks connect heavy-ion collision observables to nuclear matter properties, with cross-disciplinary implications for early cosmology and atomic traps via nonequilibrium dynamics.

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Randolf EbeltView profile

Professor

University of Erlangen–NurembergGermany

Randolf Ebelt serves as Professor and Chair of High Frequency Engineering within the Department of Electrical Engineering, Electronics and Information Technology (EEI) at FAU's Faculty of Engineering. His research focuses on radar systems and wireless localization technologies with applications in automotive and indoor environments. His primary research interests include automotive radar signal processing, deep learning applications for radar enhancement, and wireless sensor networks for precise localization. He has pioneered work in ghost detection identification, MIMO radar arrays, and 24 GHz transceiver design for real-time 3D positioning systems. Analysis of his publication trends shows increasing integration of artificial intelligence with traditional radar engineering since 2019, particularly using deep learning for automotive radar enhancement and ghost detection. His work consistently addresses practical implementation challenges including phase noise effects, antenna array optimization, and multipath mitigation in complex environments. No scientific awards were documented in the provided materials. Information regarding student advising or research grants was not specified in the source content. Professor Ebelt leads the Chair of High Frequency Engineering (LHFT) research group at FAU, which maintains active collaborations with industry partners on radar technology development and participates in international research initiatives focused on automotive and wireless positioning systems.

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Richard BaltenspergerView profile

Professor

Western Switzerland University of Applied SciencesSwitzerland

Richard Baltensperger is a Full Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO) , affiliated with the Fribourg School of Engineering and Architecture and the HumanTech - Technology for Human Wellbeing Institute . His research spans numerical analysis, thermal kinetics, and ecological network modeling. Key research areas include: Thermal stability prediction using kinetic models Remote teaching methodologies in chemistry IoT-enabled material shelf-life monitoring Optimization of acoustic sensor networks Thermal hazard analysis for reactive chemicals Complex systems in ecology His work on merging DSC and large-scale testing data has improved safety temperature predictions for materials, while recent publications explore AI-driven sensor placement optimization. He employs advanced statistical methods (AIC/BIC) for model selection and has developed applications for smartphone-based deterioration tracking via data loggers. Current research at the HumanTech Institute focuses on technology applications for environmental and materials safety. Publications show collaborations with institutions like the Federal Institute for Materials Research and Testing (BAM) in Germany.

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Javier Ruiz RusView profile

Assistant Professor

University of JaénSpain

Javier Ruiz Rus serves as Assistant Professor in the Department of Mechanical and Mining Engineering at the University of Jaén, Spain. His experimental research centers on multiphase flow phenomena with applications in industrial, environmental, and biomedical processes. His educational background includes: PhD in Fluid Mechanics (University of Jaén, 2019) with Outstanding cum laude and International Mention Industrial Engineering degree specializing in Energy Techniques and Industrial Automation & Robotics Industrial Technical Engineering in Industrial Electronics Ruiz Rus investigates bubble dynamics through controlled generation, coalescence, and ascent in confined environments. His work combines experimental techniques like 3D Particle Tracking Velocimetry with analytical modeling to study non-Newtonian fluids, microalgae cultures, and aeration processes. Key contributions include patented bubble formation methodologies and insights into flow-induced vibrations. His publication record reveals consistent advancement in multiphase flow understanding, particularly in bubble swarm interactions and co-axial jet dynamics. Recent work demonstrates increasing sophistication in experimental methods applied to complex fluid systems. Scientific recognition includes: Margarita Salas grant for bubble-vorticity research (2022) He secured ANR funding for French collaborative projects and serves as reviewer for leading journals including Journal of Fluid Mechanics. His industrial background informs practical applications of fundamental research in automation and sensor networks. Ruiz Rus operates within the Fluid Mechanics and Fluid-Structure Interaction Group of Jaén, utilizing advanced facilities for tomographic reconstruction and velocimetry. His current work extends to 3D bubble-vorticity interactions through ongoing collaborations with IMFT and Spanish universities.

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Tatiana PodladchikovaView profile

Associate Professor

Technical University of MunichGermany

Dr. Tatiana Podladchikova serves as Associate Professor, Director of the Center for Digital Engineering, and Director of the Engineering Systems Master's Program at Skolkovo Institute of Science and Technology (Skoltech). Her work bridges fundamental solar physics research with operational space weather services to protect critical infrastructure including satellites, aviation systems, and power grids from solar-induced geomagnetic disturbances. Her research centers on solar activity dynamics—particularly solar cycles, eruptive flares, coronal mass ejections (CMEs), and high-speed solar wind streams—and their terrestrial impacts. She develops predictive models for space weather phenomena using advanced data analysis techniques, with recent work integrating deep learning frameworks for solar observation translation and physics-informed neural networks for magnetic field extrapolation. Her research directly addresses infrastructure vulnerabilities during extreme space weather events through operational forecasting systems. Dr. Podladchikova's publications demonstrate a clear evolution toward AI-enhanced space weather prediction, combining multi-point solar observations (including Solar Orbiter mission data), coronal dimming analysis for early CME detection, and innovative applications like the DIRECD method for real-time propagation tracking. Her work spans fundamental solar physics, engineering applications for satellite systems, and environmental monitoring techniques. Her scientific recognition includes: International Alexander Chizhevsky Medal for Space Weather and Space Climate (2015, Belgium) Skoltech Best Professor Award (2018-2020) Outstanding Achievements in Education and Research (2022-2023) As an educator, she directs Skoltech's Engineering Systems Master's Program, leads the Space Weather Laboratory, and teaches Experimental Data Analysis and Data Analysis for Space Weather courses. Her leadership extends to public outreach initiatives including science communication events like 'Mysteries of the Sun: Space Weather of the 21st Century' lectures. She heads the Skoltech Space Weather Laboratory where her team develops operational forecasting tools, analyzes multi-spacecraft solar observations, and advances CubeSat technologies including the Skoltech-F mission. Current projects focus on real-time geomagnetic storm prediction systems and AI-driven translation of historical solar datasets to maintain observational continuity.

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Le ChenView profile

Researcher

Max Planck Institute for Intelligent SystemsGermany

Le Chen is a Doctoral Researcher at the Empirical Inference Department of the Max Planck Institute for Intelligent Systems and ETH Zurich , advised by Prof. Bernhard Schölkopf and Prof. Dieter Büchler. Previously, he obtained his M.S. in Electrical Engineering and Information Technology from ETH Zurich and gained research experience at Microsoft Mixed Reality & AI Lab, Tencent AI Lab, and Tencent Robotics X Lab. Research Interests: Le Chen focuses on the intersection of robotics and machine learning, with a specific emphasis on reinforcement learning for dexterous manipulation, visual-inertial calibration, and uncertainty-aware robotic perception. His work spans dynamic motion control, policy gradient subspaces, and novel algorithms for 3D/4D reconstruction. Key Contributions: He co-developed the RP1M dataset for bimanual piano manipulation and contributed to tendon-driven robot design ( Safe & Accurate ) and LEAP-VO for robust visual odometry. His research also includes Gaussian splatting dynamics for 4D content creation ( GaussianFlow ). Scientific Awards: Best Systems Paper Finalist at RSS 2024 for the RP1M dataset

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Robin MoschnerView profile

Researcher

Technical University of BraunschweigGermany

Robin Moschner, M.Sc., is a Research Associate at the Institute for Particle Technology (iPAT) within the Faculty of Mechanical Engineering at TU Braunschweig. He has been actively involved in research projects related to advanced battery materials since 2018. Education: Master of Science in Biological and Chemical Engineering (2016-2018) and Bachelor of Science in Chemical Engineering (2013-2016) at TU Braunschweig and University of Paderborn respectively. His research focuses on optimizing electrode materials and manufacturing processes for lithium-ion batteries, with particular emphasis on dry mixing techniques and inline defect detection systems. Recent publications address structural modifications of anodes and coating defect analysis in battery production. Contact: r.moschner@tu-braunschweig.de .

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Achillefs KapanidisView profile

Professor

University of OxfordUnited Kingdom

Prof. Achillefs Kapanidis is a Professor of Biological Physics at the University of Oxford, currently affiliated with the Oxford Kavli Institute for Nanoscience Discovery and Condensed Matter Physics. He leads the 'Gene Machines' group, focusing on single-molecule studies of microbial gene expression, DNA repair, and AI-driven diagnostics. Education: BSc in Chemistry (Aristotelian University of Thessaloniki), MSc in Food Science (Rutgers), PhD in Biological Chemistry (Rutgers Waksman Institute) Research Interests: The group investigates biological machinery in gene transcription and DNA repair using single-molecule fluorescence microscopy and AI. Key areas include: Single-molecule biophysics of transcription factors Antibiotic resistance detection via rapid diagnostics Miniaturized imaging technologies for pathogen identification Deep learning applications in cellular phenotyping Super-resolution microscopy development Living-cell molecular tracking Publications Trends: Recent work emphasizes AI integration with single-molecule techniques for real-time pathogen analysis, spanning influenza, coronaviruses, and E. coli. Innovations include photobleaching-resistant imaging, microfluidic diagnostics, and spatial organization studies of transcription machinery. Awards: 2019 Innovator of the Year Award (BBSRC) for Oxford Nanoimaging spin-out Labs & Collaborations: The team moved to the Oxford Kavli Institute in 2021, collaborating with interdisciplinary DTC programs. Current projects include biosensor development and viral detection platforms.

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