جست‌وجوی استاد و پژوهشگر

Peter Horakمشاهده پروفایل

دانشیار

• Nonlinear Optics
• Quantum Optics
• Photonics
• +۴ مورد دیگر

Dr Peter Horak is an Associate Professor at the Optoelectronics Research Centre (ORC) of the University of Southampton. With expertise in theoretical and computational photonics, his research spans nonlinear optics, quantum technology, and fiber optics. He obtained his MSc in Theoretical Physics (1993) and PhD in Theoretical Quantum Optics (1997) from the University of Innsbruck, followed by postdoctoral positions in Paris and Glasgow before joining the ORC in 2001. Current roles: ORC Exam Officer Admissions Tutor, EPSRC CDT in Quantum Technology Engineering Dr Horak leads the Computational Nonlinear Optics group, focusing on theoretical and numerical modeling of photonics systems across scales—from single photons to gigawatt laser pulses. His work addresses fundamental physics and device optimization in hollow-core fibers, quantum devices, and high-harmonic generation. Recent publications highlight hollow-core fiber gas dynamics, nonlinear optical sensing, and microresonator alignment challenges. Collaborations include the UK National Quantum Technology Programme and EPSRC-funded projects like QCI3 and HiPPo. External roles: Editorial Board, Physical Review A (2017–2022) Peer reviewer for EPSRC (since 2012) and ESF (since 2017) He supervises PhD students in nonlinear and quantum optics, and teaches optical fiber and computational modeling topics.

• Photonics
• Laser Technology
• Machine Learning
• +۵ مورد دیگر

Professor Robert Eason is a leading academic at the University of Southampton, specializing in photonics and laser technology. His research spans interdisciplinary areas combining Machine Learning , Medical Diagnostics , and Microfluidics . Research Interests : Eason focuses on AI-driven laser applications, including deep learning for phototherapy , autonomous laser machining , and low-cost paper-based diagnostic devices . His work bridges photonics with biomedicine and advanced manufacturing. Recent Publications : His 2025 article in Scientific Reports explores AI simulations for psoriasis treatment, while 2024-2022 works address laser-controlled microfluidics, deep learning in microscopy, and reinforcement learning for laser machining. Supervision : He supervises PhD student Georgia Mourkioti in laser-based research projects. External Roles : Eason has served as a speaker at international conferences including the International Symposium on Laser Precision Microfabrication (2018), LAISER (2019), and Deep Learning for Control of Light-Matter Interactions (2022).

• Nuclear Engineering
• Reactor Physics
• Particle Physics
• +۴ مورد دیگر

Adriaan Buijs is a Professor in the Engineering Physics Department at McMaster University in Hamilton, Canada. He previously held roles at Atomic Energy of Canada Limited (AECL) from 2001 to 2008, including Senior Scientist and Section Head for neutronic overpower protection in CANDU reactors. Education: Master’s and PhD in Experimental Physics from Utrecht University , with research at Stanford Linear Accelerator Center . Academic History: Fellow and Staff Member at CERN (1986–1994), then Full Professor at Utrecht University (1994–2001). Research Interests : Nuclear Engineering : Specializing in Small Modular Reactors (SMRs) and Canadian Supercritical Water-Cooled Reactors (SCWR) . Reactor Physics : Focused on neutron transport calculations , gamma heating estimation , and safety analysis for reactor systems. Particle Physics : Past contributions include studies on photon-photon collisions , charmonium states , and supersymmetric particles at CERN and LEP. Publications include work on nuclear reactor simulations , fuel cycle assessments , and Monte Carlo methods for reactor kinetics. He has served as Associate Chair and Acting Chair in his department.

• DNA Nanotechnology
• Molecular Programming
• DNA Origami
• +۳ مورد دیگر

Paul W. K. Rothemund is a Visiting Associate in the Department of Computing and Mathematical Sciences and the Computation and Neural Systems program at the California Institute of Technology (Caltech), a position he has held since 2023 with appointment through 2026. Previously, he served as a Research Professor at Caltech from 2015 to 2023, Senior Research Associate from 2008 to 2015, and Senior Research Fellow in Computation and Neural Systems and Computer Science from 2004 to 2008. Rothemund received his B.S. from Caltech in 1994 and his Ph.D. from the University of Southern California in 2001. Following his doctoral studies, he was a Beckman Senior Research Fellow from 2001 to 2004. Dr. Rothemund leads the Rothemund Lab at Caltech, which is part of the Biology and Biological Engineering, Computing + Mathematical Science, and Computation & Neural Systems divisions. His research focuses on DNA nanotechnology, particularly the development and application of DNA origami techniques for creating programmable nanoscale structures. The lab's work bridges computer science, molecular biology, and nanotechnology, exploring how molecular systems can be designed and programmed like computational systems. Analysis of Dr. Rothemund's recent publications reveals a strong focus on advancing DNA nanotechnology for practical applications. His work spans from fundamental techniques for DNA and RNA origami to applications in nanophotonics, lipid bilayer engineering, and single-molecule manipulation. A notable trend is the increasing sophistication of DNA-based nanostructures and their integration with other biomolecular systems and physical phenomena. Scientific Recognition: Beckman Senior Research Fellow Dr. Rothemund has advised several doctoral students to completion, including Anya Mitskovets, who defended her thesis on 'Using DNA origami to create hybrid nanophotonic architectures for single-photon emitters,' and Tyler Ross, who defended his PhD thesis and subsequently joined the lab as a postdoc. His research has been supported by various grants that enable the interdisciplinary work at the intersection of computer science, molecular biology, and nanotechnology. The Rothemund Lab forms a 'DNA nanotechnology supergroup' at Caltech and frequently collaborates with the Winfree and Qian labs. This collaborative environment fosters innovation at the interface of computation, molecular programming, and nanoscale engineering, positioning the lab at the forefront of programmable matter research.

Olaf Kaczmarekمشاهده پروفایل

پژوهشگر

• Quantum Chromodynamics (QCD)
• Lattice Field Theory
• High Energy Physics
• +۳ مورد دیگر

Olaf Kaczmarek is a researcher at the Faculty of Physics , Bielefeld University , specializing in Lattice Quantum Chromodynamics (QCD) and Strongly Interacting Matter . He leads projects related to QCD thermodynamics , quark-gluon plasma , and heavy quark transport . Principal Investigator in TRR 211/2 Subproject A06: Hadronic Excitations and Spectral Functions in the Medium (2025) Co-PI in TRR 211/2 Subproject Z02: Software Development Center (2025) Contributor to GPUHEP2014 and LATTICE2024 symposia Research Focus: Thermal QCD phase transitions, heavy quark diffusion , transport coefficients , lattice simulations , and quarkonium spectroscopy . His work bridges theoretical physics and high-performance computing , particularly in Multigpu Systems for QCD calculations. Recent Publications explore topics like the chiral crossover , spatial string tension , and thermal photon production , with keywords spanning Quantum Chromodynamics , Lattice Gauge Theory , and High Temperature Physics . Teaching: Offers courses in Lattice Field Theory , GPU Computing , and Gradient Flow for graduate students. Contributes to collaborative seminars in the CRC-TR211: Strong-interaction matter under extreme conditions .

• Nano-Engineering
• Opto-Electronics
• Photonics
• +۱۸ مورد دیگر

Dr. Anna Baldycheva is a Senior Lecturer in Electronic Engineering at the University of Exeter, within the College of Engineering, Mathematics and Physical Sciences. She leads the interdisciplinary STEMM Laboratory, focusing on applied R&D in smart materials, photonics, AI, and IoT. With prior research experience at MIT, Trinity College Dublin, and Tyndall National Institute, she has established herself as an internationally recognized innovator and entrepreneur in emerging technologies. PhD in Electronic and Electrical Engineering, Trinity College Dublin (2008–2012) BSc (Hons) in Physics, St. Petersburg State University (2003–2008) Postgraduate Certificate in Academic Practice, University of Exeter (2016–2017) Postgraduate Certificate in Technology Management, Smurfit Business School (2009–2010) Her research spans Nano-Engineering, Opto-Electronics, Photonics, AI, and IoT , with a strong emphasis on real-world applications. She pioneers work in fluid opto-electronics , graphene nanocoatings , and AI-driven emotion recognition and early cancer detection . Her lab develops smart composite materials for flexible electronics, e-textiles, and structural applications, integrating machine learning into healthcare, education, and communications systems. The recent publications highlight a strong trend toward applied interdisciplinary innovation , combining materials science with AI and photonics for healthcare diagnostics, energy-efficient computing, and educational technology. Her work frequently bridges fundamental physics with commercialization potential, as seen in spin-out technologies like GSurf and the Electronic-Nose for lung cancer detection. Fellow, Royal Microscopical Society (RMS) Fellow, Higher Education Academy (FHEA) Expert, Future and Emerging Technologies, European Commission Featured in Forbes and Forbes Tech Council Editor-in-Chief, InSTEMM Journal Associate Editor, Nature Scientific Reports and Discover Nano Trustee, Royal Microscopical Society Founder, STEMM Global Scientific Society Founder, It’s Her! Women in STEMM Initiative Dr. Baldycheva actively supervises PhD students and has secured industrial collaborations with organizations such as Qinetiq and Lumentum. She leads multiple outreach initiatives, including STEMM Junior for underprivileged children, and serves on the committee for the Jocelyn Bell Brunel PhD Scholarship. She has raised significant research funding through national and international grants, though specific grant names are not listed. She leads the STEMM Laboratory , a multidisciplinary research group with divisions in Smart Composite Materials, Machine Learning & AI, and Opto-Electronics & Photonics. The lab emphasizes industry collaboration and technology transfer, having produced a university spin-out (GSurf) and multiple media-highlighted innovations.

Francesco Polettiمشاهده پروفایل

استاد

• Hollow Core Optical Fibres design and fabrication
• Optical Communications high capacity and low latency
• Novel active and passive optical fibres
• +۲ مورد دیگر

Professor Francesco Poletti is a Professorial Fellow-Research at the University of Southampton's Optoelectronics Research Centre (ORC), specializing in advanced optical fiber technologies. He leads multiple high-impact research projects funded by prestigious organizations including EPSRC, the European Union, Royal Society, and industry partners like Microsoft Corporation. His research focuses on: Hollow Core Optical Fibres design and fabrication Optical Communications for high capacity and low latency systems Novel active and passive optical fibres Applications of hollow core optical fibres Optical fibre guidance mechanisms Professor Poletti's recent publications demonstrate leadership in hollow core fiber technology, with significant advancements in manufacturing techniques, optical performance, and practical applications. His 2024-2025 publications show particular emphasis on improving fiber compatibility with existing infrastructure, developing mid-infrared capabilities, enhancing laser integration, and creating novel sensing applications. His scientific recognition includes a prestigious Royal Society Fellowship. Current major projects include FASTNET (revolutionary hollow core low-latency fibres), research contracts with Microsoft, and EU-funded initiatives like WISDOM and EMPRESS. Professor Poletti actively supervises PhD students and accepts new applications, currently mentoring Rene Andres Reynolds Hamel, Mahmudur Rahman, Amalie Gjelsvik, and Chiang Ping Saw. His research group is a core component of the Hollow Core Fibre and Fibres and Communications research teams at the ORC.

• Optical Fibre Technology
• Hollow-Core Fibres
• Photonics
• +۷ مورد دیگر

Dr Ian Davidson is a Senior Research Fellow at the Optoelectronics Research Centre (ORC), University of Southampton, Faculty of Engineering and Physical Sciences. He is a key researcher in the Hollow-Core Fibre group, focusing on advanced optical fibre fabrication, characterization, and application in photonic systems. His research interests include: Hollow-Core Fibre Technology Micro-Structured Optical Fibres Photonics and Quantum Optics Semiconductor Deposition and Integrated Optics Optical Fibre Sensing and Raman Spectroscopy Fibre-Based Gas Dynamics and Pressure Sensing Dr Davidson's recent publications (2022–2025) demonstrate a strong trend in developing next-generation hollow-core fibres with enhanced stability, reduced loss, and novel functionalities for applications in sensing, spectroscopy, and laser delivery. His work spans high-impact journals such as Science Advances , Optics Express , ACS Photonics , and IEEE Journal of Selected Topics in Quantum Electronics , reflecting his leadership in the field of optical fibre innovation. He currently supervises PhD students Elizaveta Elistratova and Abhishek Vijayakumar, contributing to training the next generation of photonics researchers. No scientific awards or prizes are currently listed in the provided text. Dr Davidson collaborates extensively within the ORC and with external partners on projects involving fibre fabrication, gas dynamics, and photonic device integration. He has no listed teaching responsibilities, but his research supervision plays a central role in academic mentorship. He is affiliated with advanced research infrastructure at the Optoelectronics Research Centre, a world-leading institute in photonics.

Michael Chomaمشاهده پروفایل

دانشیار مدعو

• Digital Health
• AI and Computer Vision
• Medical Imaging
• +۵ مورد دیگر

Dr. Michael Choma is an Adjunct Associate Professor in the Radiology & Biomedical Imaging department at Yale School of Medicine . He also serves as Vice President Clinical at LookDeep Health , a Bay-Area startup developing AI/computer vision technologies for inpatient telemedicine and patient monitoring. Dr. Choma holds a PhD (2004) and MD (2006) from Duke University , completed pediatric training at Boston Children’s Hospital , and pursued postdoctoral research at the Wellman Center for Photomedicine, Massachusetts General Hospital/Harvard Medical School . His research spans biomedical optics , medical imaging , and developmental biology , with a focus on optical coherence tomography (OCT) for studying pulmonary and cardiovascular physiology . He has developed OCT technologies to quantify cilia-driven fluid flow in respiratory systems, investigated embryo heart physiology , and designed novel light sources for speckle-free imaging. His work also bridges clinical medicine and engineering innovation , particularly in digital health and AI-driven diagnostics . Dr. Choma’s publications from 2015-2016 highlight trends in medical imaging , biophotonics , and computational diagnostics , with subfields including optical coherence tomography , fluid dynamics , and point-of-care testing . His scientific awards include the Numenta Startup Prize (2015) and Theodore von Kármán Fellowship (2014) . At Yale, Dr. Choma previously led an NIH-funded biophotonics laboratory and contributed to clinical radiology . He also served as an attending physician in the Yale-New Haven Primary Care Clinic . His interdisciplinary approach integrates medical practice , engineering , and data science , with recent interests in AI bias in medicine , digital pathology , and healthcare innovation .

Dirk Ziegenbalgمشاهده پروفایل

استاد

• Photochemical Engineering
• Chemical Reaction Engineering
• Process Intensification
• +۴ مورد دیگر

Prof. Dirk Ziegenbalg is a Professor of Chemical Engineering and Deputy Director at the Institute of Chemical Engineering at Ulm University. He holds a doctorate from Friedrich-Schiller-University Jena (2013) and previously served as Group Leader at the Institute of Chemical Technology, University Stuttgart (2012-2018). His research focuses on photochemical engineering, reactor design, and photocatalytic processes for applications in energy and environmental technology. Key contributions include advancements in photoreactor engineering, light-driven catalysis, and scalable water purification systems. He has been recognized with the Hanns Hofmann Award (2017) for innovations in microstructured reactor design. Teaching responsibilities include courses such as Strömungsmechanik , Chemische Prozesstechnik , and Industrial Catalysis . His research group, Photochemical Engineering, develops modular and industrially scalable photoreactor systems, emphasizing process intensification and dynamic irradiation control. Recent work addresses challenges in CO₂ conversion, selective Grignard reagent formation, and real-time process analytics using spectroscopy. Publications highlight interdisciplinary approaches, integrating chemical engineering with materials science and environmental applications. Ongoing projects involve 3D-printed catalytic materials, radiation field tomography for photoreactor characterization, and cross-disciplinary collaborations for sustainable water treatment technologies.

• Numerical Analysis
• Scientific Computing
• Computational Mathematics
• +۹ مورد دیگر

Dr. Fengyan Li is a Professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute (RPI). She holds a PhD in Applied Mathematics from Brown University (2004) and previously held a postdoc at the University of South Carolina. Her research focuses on numerical analysis and scientific computing, particularly discontinuous Galerkin methods for applications in wave propagation, fluid dynamics, plasma physics, and nonlinear optics. She has received prestigious awards including the NSF-CAREER Award (2009) and Alfred P. Sloan Fellowship (2008). Dr. Li serves on editorial boards of journals like SIAM Journal of Numerical Analysis and IMA Journal of Numerical Analysis. Education: PhD in Applied Mathematics (Brown University, 2004); MS & BS in Computational Mathematics (Peking University, 2000 & 1997). Research interests emphasize multi-scale simulations, reduced-order modeling, and high-order methods. Her work addresses challenges in kinetic transport, nonlinear optics, and plasma dynamics. She has delivered plenary talks at major conferences, including ICOSAHOM (2018) and NAHOMCon (2022). Professional service includes leadership roles in the Association for Women in Mathematics (AWM), co-organizing symposiums, and mentoring. She is a 2025 AWM Fellow and advises RPI's AWM Student Chapter.

• Microfluidics
• Optofluidics
• Sensor Technology
• +۴ مورد دیگر

Professor Craig Priest is a faculty member at the University of South Australia within UniSA STEM , focusing on microfluidics , optofluidics , and interfacial science applications. He serves as a Research Degree Supervisor and has contributed to advancements in sensor technology, biomedical engineering, and materials science. Key Research Themes : Development of micropillar array-integrated sensors for rapid vapor detection 3D-printed microstructures to mitigate matrix effects in electrochemical sensing Wettability engineering for passive fluid control in lab-on-a-chip devices PDMS-PS bonding protocols enabling robust cell culture platforms like Heart-Dyno Collaborations & Grants : Collaborated with Queensland University of Technology and QIMR Berghofer on biomedical devices Involved in ARC grants: ARC IH150100028 and ARC DP1094337 Industry partnerships with BHP Billiton and ULVAC Inc. Academic Contributions : Published in IEEE Sensors , APL Materials , and ACS Applied Materials & Interfaces Active in microfluidic device design for biomedical and environmental applications Developed evaporation-driven fluid transport systems for portable biosensing platforms

Tsun-Ming Tsengمشاهده پروفایل

استاد

• Microfluidic Large-Scale Integration
• Optical Network-on-Chip
• Microfabrication
• +۳ مورد دیگر

Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.

Matthias Ihmeمشاهده پروفایل

استاد

• Combustion Science
• Fluid Dynamics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Matthias Ihme is a Professor in the Department of Mechanical Engineering and Photon Science Directorate at Stanford University. His research focuses on large-eddy simulation (LES) of turbulent reacting flows, aeroacoustics, combustion-generated noise, numerical methods, and high-order schemes. He holds a Ph.D. from Stanford University (2008), an M.Sc. in Computational Engineering from the University of Erlangen (Germany, 2002), and a Dipl.-Ing. in Mechanical Engineering from Munich University of Applied Sciences (Germany, 2000). His work bridges computational fluid dynamics, combustion science, and photon science, with notable contributions to supercritical fluid dynamics, machine learning integration in fluid simulations, and high-fidelity atmospheric transport modeling. Recent research emphasizes ultrafast cluster dynamics, shock-induced interface behavior, and stochastic ignition mechanisms in advanced fuel systems. Publications highlight interdisciplinary advancements, including physics-informed ML frameworks for reacting flows and experimental studies using X-ray photon correlation spectroscopy. His projects often involve high-performance computing and collaboration with national labs like SLAC.

Guang Linمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Uncertainty Quantification
• +۷ مورد دیگر

Guang Lin is the Associate Dean for Research and Innovation in the College of Science and a Full Professor in the School of Mechanical Engineering and Department of Mathematics at Purdue University. He leads the Data Science Consulting Services and has dual appointments in Statistics and Earth, Atmospheric, and Planetary Sciences. His research focuses on AI, machine learning, uncertainty quantification, and computational science, with applications in fluid mechanics, materials science, and healthcare. Lin holds a Ph.D. from Brown University (2007) and has received numerous awards, including the NSF CAREER Award and Purdue’s University Faculty Scholar distinction. He has authored over 250 publications and secured grants totaling millions, including DOE and NIH funding. His interdisciplinary work bridges academia and industry, emphasizing AI-driven solutions for complex systems. Education: Ph.D. Applied Mathematics (Brown, 2007), M.S. Applied Mathematics (Brown, 2004), M.S. Mechanics (Peking University, 2000), B.S. Mechanics (Zhejiang University, 1997). Research Grants: Includes DOE-funded projects on machine learning for plasma-wall interactions and NSF grants for multiscale modeling. Service: Editorships in SIAM MMS, ASME Journal, and leadership in Purdue’s AI initiatives. Teaching: Courses on Uncertainty Quantification, Fluid Mechanics, and Data Science.