جست‌وجوی استاد و پژوهشگر

Alexey Lipatovمشاهده پروفایل

استادیار

• Nanomaterials
• Materials Science
• Energy Storage
• +۶ مورد دیگر

Dr. Alexey Lipatov is an Assistant Professor in the Department of Chemistry, Biology & Health Sciences at South Dakota School of Mines and Technology. He leads the Lipatov Group, focusing on designing functional nanomaterials for electronics, photonics, and energy storage. His work emphasizes MXenes, quasi-1D TiS3, and ferroelectric materials. He holds a Ph.D. from the University of Nebraska. Education: Ph.D., University of Nebraska Research Interests: 2D Materials (MXenes, graphene, transition metal trichalcogenides) Nanoelectronics and optoelectronics Ferroelectric domain engineering Gas sensor development using nanomaterials Chemical vapor deposition (CVD) techniques Labs & Teams: The Lipatov Group operates in the CBEC 3308 lab, specializing in materials synthesis, characterization (electron microscopy, AFM), and device fabrication. Graduate students and postdocs collaborate on projects involving MXene properties, quasi-1D materials, and ferroelectric memories. Grants & Awards: No specific awards listed; ongoing research is supported through institutional and collaborative funding.

Ludvik Martinuمشاهده پروفایل

استاد

• Polymers and coatings
• Ceramics
• Composite materials
• +۳ مورد دیگر

Ludvik Martinu is a Full Professor at the Department of Engineering Physics , Polytechnique Montréal, with a focus on thin films, coatings, and surface engineering . He leads multiple research units, including the Functional Coating and Surface Engineering Laboratory and the NSERC Multisectoral Industrial Research Chair . B.Sc., M.Sc., Ph.D. from Charles University, Prague Research Interests : Thin layers (optical, mechanical, electrical properties) Cold plasma (plasma-surface interactions, diagnostics) Optical and protective coatings Microstructure and wear resistance of materials Recent Publications highlight advancements in electrochromic coatings , plasmonic nanoparticles , and machine learning for erosion prediction , reflecting his expertise in coatings for aerospace, energy, and quantum optics. Scientific Awards : 2022: Prix d'excellence en recherche et innovation (Polytechnique Montréal) 2021: NSERC Synergy Award for Innovation 2019: Nathaniel H. Sugarman Prize (SVC), Fellow of AVS Supervision : Has directed 25 Ph.D. theses and 35 Master's theses, covering topics like thermal barrier coatings , erosion mechanisms , and smart window materials .

Sharon King-Yuمشاهده پروفایل

استادیار

• Data Science
• Computational Statistics
• Model-Based Clustering
• +۴ مورد دیگر

Sharon King-Yu is an Assistant Professor at the Department of Mathematics and Statistics , McMaster University . She holds dual Ph.D. degrees in Statistics (University of Guelph, 2016) and Physics (Trinity College Dublin, 2008), supported by an Alexander Graham Bell Scholarship from NSERC. Her work bridges data science , computational statistics , and non-Gaussian mixture modeling . Research focus: Big data analysis , evolutionary computation , high-dimensional subgroup identification via variance-gamma distributions Recent publications highlight her expertise in evolutionary algorithms for parameter estimation, non-Gaussian clustering techniques, and optical properties of nanomaterials. Her teaching portfolio includes Data Science Methods , Computational Inference , and Probability & Statistics for Engineering . Scientific recognition: Alexander Graham Bell Scholarship (NSERC) Sharon's interdisciplinary approach connects statistical learning with nanoscience , demonstrating her unique contribution to computational methodologies and applied data analysis. Contact: sharonmc@mcmaster.ca

Wei Caiمشاهده پروفایل

استاد

• Materials Simulation
• Dislocation Dynamics
• Metal 3D Printing
• +۲ مورد دیگر

Wei Cai is a Professor of Mechanical Engineering at Stanford University with a courtesy appointment in Materials Science and Engineering. His research spans multiscale materials modeling, focusing on defect microstructures, atomistic simulation methods, machine learning applications, and metallurgical processes in metal 3D printing. Academic Background : PhD in Nuclear Engineering from MIT (2001) Current Role : Faculty in Mechanical Engineering, Stanford Research Interests center on computational mechanics, dislocation dynamics, and stretchable electronics. Key areas include: Predicting mechanical strength across atomic to continuum scales Developing long timescale atomistic simulations Machine learning for materials property prediction Microstructure-property relationships in nanotube networks Metal additive manufacturing process modeling Recent Publications (2023-2025) demonstrate expertise in dislocation mechanics, dual-phase alloys, self-healing polymers, and machine learning-enhanced materials simulations, with applications spanning titanium-oxygen alloys, perovskite phase separation, and nanowire fabrication. Awards include: Presidential Early Career Award (2004) NSF Career Award (2006) AFOSR Young Investigator (2006) ASME Hughes Young Investigator (2013) Dislocations 2016 Scientific Achievement Award Teaching covers advanced topics in statistical mechanics and computational methods. He advises multiple doctoral and master's students in materials research.

• Metamaterial Physics
• Computational Physics
• Electromagnetic Engineering
• +۳ مورد دیگر

Dr. Benjamin Vial is a Researcher in the Department of Mathematics at Imperial College London's Faculty of Natural Sciences. His work focuses on metamaterial physics, computational electromagnetics, and applied mathematics. He specializes in quasi-normal mode analysis, topology optimization for functional materials, and inverse design of electromagnetic systems. His research addresses topics like thermal cloaking, multi-material additive manufacturing, and spectral filtering with diffraction gratings. Key research areas include metamaterials for wave control, resonant structures for spectral engineering, and computational methods for material design. His work bridges theoretical models with experimental validation, particularly in microwave and optical domains. Collaborations involve developing open-source tools for photonics optimization and advancing fabrication techniques for novel electromagnetic devices. Notable contributions include studies on isospectral systems, meta-ferroelectric composites, and quasi-modal expansions in open structures. His publications span 2013–2024, demonstrating expertise in both fundamental physics and applied engineering solutions for electromagnetic systems.

Marc Dandinمشاهده پروفایل

استادیار

• Integrated Circuits
• BioMEMS
• Biosensors
• +۷ مورد دیگر

Marc Dandin is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He joined CMU in July 2019 after co-founding a medical diagnostics startup and working in intellectual property law in Washington, D.C. His research focuses on bioelectronics, microsystems engineering, and integrated circuits, aiming to bridge electronics and biological systems for novel diagnostic tools and therapies. Education: Ph.D., Bioengineering, University of Maryland, College Park (2016) M.S. and B.S., Electrical Engineering, University of Maryland, College Park (2011 and 2009) Research Interests: Dr. Dandin’s work integrates CMOS bioelectronics, lab-on-chip systems, and machine learning for applications in cancer cell analysis, single-photon detection, and cybersecurity. Key areas include: Capacitance sensing platforms for real-time cell viability measurements Single-photon avalanche diodes (SPADs) for quantum imaging and hardware security Translational bioengineering for unmet medical needs Awards & Grants: NSF CAREER Award (2025) ARPA-H $42M grant for implantable bioelectric devices (2024) Oracle Research Project Award for single-cell cancer research (2022) IEEE Senior Member (2017) Advising & Outreach: His Integrated Circuits and Bioengineering Lab engages students in multidisciplinary projects, including entrepreneurship practicums and educational frameworks for middle/high school optoelectronics training. Research collaborations emphasize translational impact, combining lab-on-CMOS platforms with cloud-based data analysis. Labs/Teams: Leads the Integrated Circuits and Bioengineering Lab, collaborating with CMU’s Robotics Institute and biomedical engineering groups to advance cell-based diagnostics and cybersecurity in healthcare systems.

Hai Zhangمشاهده پروفایل

دانشیار

• Applied Mathematics
• Inverse Problems
• Imaging
• +۳ مورد دیگر

Hai Zhang is an Associate Professor at the Department of Mathematics, Hong Kong University of Science and Technology (HKUST). His research focuses on applied mathematics, particularly inverse problems, imaging, and wave propagation in metamaterials and topological materials. University: HKUST Department: Mathematics Academic Rank: Associate Professor Research Interests Dr. Zhang's group investigates mathematical theories for: Resolution limits in imaging and super-resolution algorithms Inverse problems combining physics and machine learning Wave propagation in topological materials and metamaterials Plasmonic sensing and photonic structures Teaching He has taught advanced courses including: Multivariable Calculus Applied Analysis Mathematical Foundations of Imaging Scattering and Inverse Scattering Theory Group Members Current and former members of his research group include: Current: Jiayu Qiu (PhD), Xinyu Liu (PhD), Yu Gao (Postdoc) Former: Ping Liu (PhD 2021, ETH Zurich postdoc), Zetao Fei (PhD 2024, Ecole polytechnique postdoc), Peng Xie (Postdoc 2020-2022)

Tony Zhuمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Dr. Tony Zhu is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on biomedical signal processing, machine learning, and medical imaging, with applications in neurology, mental health, and epidemiology. He collaborates extensively on projects involving electromagnetic brain imaging, stroke diagnosis, and predictive modeling for mental health conditions. His work spans interdisciplinary areas such as EEG analysis, wearable sensor technology, and environmental health. Recent publications highlight advancements in prenatal depression prediction, respiratory rate estimation, and stroke localization using electromagnetic methods. Dr. Zhu’s contributions address critical challenges in healthcare diagnostics and public health monitoring. Key collaborations include projects with researchers in biomedical engineering, neuroscience, and computational biology. His research emphasizes practical solutions for clinical and environmental health challenges, leveraging machine learning and advanced signal processing techniques.

Martin Ploschnerمشاهده پروفایل

مدرس ارشد

• Optical Imaging
• Biomedical Optics
• Fiber Optics
• +۶ مورد دیگر

Dr Martin Ploschner is a Senior Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland, with a PhD from the University of St Andrews. His research bridges optical physics, biomedical engineering, and advanced imaging technologies, focusing on innovative applications of light manipulation. His research interests encompass optical imaging, biomedical optics, fiber optics, super-resolution microscopy, terahertz imaging, wavefront shaping, and multimode fiber optics. Ploschner's work particularly emphasizes developing novel optical techniques for biomedical applications, including deep-brain imaging through minimally invasive multimode fibers and super-resolution microscopy using upconversion nanoparticles. Analysis of his recent publications reveals a strong focus on spatial tomography of light across multiple dimensions (time, spectrum, polarization), multimode fiber characterization, and advanced imaging techniques. His work demonstrates a consistent trajectory toward developing practical optical tools for biomedical applications, particularly in endoscopic imaging and nanoscale manipulation. ARC Discovery Project: Deep brain neurovascular coupling analysis using multimode fibre endoscopes (2025-2027) ARC Future Fellowship: Investigating spatio-temporal instabilities in next-generation lasers (2024-2028) ARC Discovery Early Career Researcher Award: Seeing deeply inside the body with the world's smallest microscope (2019-2020) Dr Ploschner actively supervises multiple PhD students working on laser wavefront shaping, machine learning with optical waves, and applications of multi-plane light conversion. His research group collaborates closely with Associate Professor Joel Carpenter and Dr Mickael Mounaix, forming a strong team focused on optical wave manipulation through disordered media and multimode fibers. Their work has significant implications for minimally invasive medical diagnostics and telecommunications.

David S. Gingerمشاهده پروفایل

استاد

• Analytical Chemistry
• Clean Energy Materials
• Physical Chemistry
• +۷ مورد دیگر

David S. Ginger is the B. Seymour Rabinovitch Endowed Chair in Chemistry at the University of Washington, Department of Chemistry, within the College of Arts & Sciences. His research focuses on the physical chemistry of energy materials, including solar energy, optoelectronics, plasmonics, and bio-inspired sensing. He holds a Ph.D. in Physics from the University of Cambridge (2001). His lab develops advanced microscopy techniques, such as scanning probe microscopy, to study nanoscale material behavior. Key research areas include hybrid perovskites, colloidal quantum dots, and plasmonic nanostructures. He leads the NSF-funded IMOD STC and directs the Clean Energy Institute. His teaching includes Honors General Chemistry and Quantum Chemistry courses. Advised over 100 students, many of whom have pursued academic and industry roles globally. Research Interests: Scanning probe microscopy, solar energy materials, plasmonics, bio-inspired materials, quantum dots, energy storage. Affiliations: Clean Energy Institute (UW), IMOD STC (NSF), UW Molecular Engineering & Sciences Institute. Grants & Funding: Lead PI for NSF STC, multiple DOE and industry grants. Labs: Ginger Lab (Bagley Hall), Photonics Research Center. Future Work: Scaling perovskite solar cells, quantum dot photonics, and bio-inspired adaptive materials.

• Quantum Optics
• Optical Tweezers
• Orbital Angular Momentum
• +۵ مورد دیگر

Miles J Padgett is a Royal Society Research Professor and holds the Kelvin Chair of Natural Philosophy at the University of Glasgow's School of Physics and Astronomy. He leads QuantIC, the UK's quantum imaging center, and served as Interim Executive Chair of the EPSRC (2023) and Vice-Principal for Research at Glasgow (2014–2019). His research focuses on quantum optics, optical tweezers, and imaging technologies, with notable contributions to orbital angular momentum and quantum-enhanced imaging. Padgett’s work bridges fundamental physics and applied technologies, including endoscopes, microscopes, and methane detection systems. He has received prestigious awards like the Royal Society’s Rumford Medal (2019) and European Physical Society’s Quantum Electronics Prize (2021). His lab and collaborations emphasize interdisciplinary innovation, with over 468 publications and industry partnerships through QuantIC. Key roles include Chair of the UK Physics Panel for REF 2021, EPSRC Council member, and SPIE Board Director. His research culture advocacy at Glasgow elevated the university’s REF performance to upper quartile in the Russell Group. Ongoing projects explore quantum imaging, photon-efficient systems, and real-time sensing with cutting-edge optical techniques.

Andrea Carenaمشاهده پروفایل

استاد

• Optical Communication Systems
• Digital Signal Processing
• Fiber Optics
• +۳ مورد دیگر

Andrea Carena is a Full Professor in the Optical Communication Group at the Department of Electronics and Telecommunications, Politecnico di Torino, Italy. He holds a M.Sc. and Ph.D. in Electronic Engineering from the same institution (1995 and 1998). His career includes a Visiting Researcher role at UC Santa Barbara (1998) and a decade as an Assistant Professor at Politecnico di Torino before becoming a Full Professor. His research focuses on optical communication systems, particularly digital signal processing, coherent detection, fiber nonlinearities, and advanced modulation formats. He has authored over 200 publications and received the IEEE/OSA Best Paper Award (2014, 2015). Education: M.Sc. in Electronic Engineering, Politecnico di Torino (1995) Ph.D. in Electronic Engineering, Politecnico di Torino (1998) Research Interests: Physical layer design of optical systems Coherent detection and digital signal processing Fiber nonlinearity modeling and mitigation Multi-core and few-mode fiber applications Machine learning for optical system optimization Publications Trends: Recent work emphasizes machine learning-driven optimization of optical amplifiers (Raman, bismuth-doped), SWDM/VCSEL systems for data centers, and reconfigurable photonic integrated circuits. His 2020s research bridges lab-to-field trials, including SDM transmission over deployed fibers and probabilistic shaping in multi-core environments. Awards: 2014 IEEE/OSA Journal of Lightwave Technology Best Paper Award 2015 IEEE/OSA Journal of Lightwave Technology Best Paper Award Advising & Grants: While no student names are listed, his leadership in the OptCom group suggests extensive PhD/Master’s supervision. His work on OptSim and modular WSS designs reflects major research grants in optical networking and photonics. Labs/Teams: Leads the Optical Communications Group (OptCom) at Politecnico di Torino, specializing in experimental and theoretical studies of advanced optical communication systems. Collaborates internationally on projects like OPERA (optical label swapping networks) and multi-core fiber field trials.

Trevor Hallمشاهده پروفایل

استاد

• Photonic Networks
• Optoelectronics
• Fiber Optics
• +۴ مورد دیگر

Trevor Hall is a Professor and University Research Chair in Photonic Circuits & Integration at the University of Ottawa's School of Electrical Engineering and Computer Science. Previously, he held positions at King's College London, including Professor Emeritus in Optoelectronics. He earned his BA and MA from Cambridge University and his PhD from University College London. His research focuses on photonic networks, optoelectronic systems, and integrated photonics, with over 200 publications and five patents. Key areas include fiber optics, electromagnetic scattering, and optoelectronic signal processing. He has led industry-academic collaborations and contributed to strategic planning in academic leadership roles. Dr. Hall has served on numerous national and European research councils, including EPSRC and DTI committees, and held leadership roles in academic and community institutions. His honors include Fellow of the UK Institute of Physics and Chartered Engineer status. Current projects emphasize photonic packet switches and high-capacity optical communication systems. His work integrates advanced photonics with emerging technologies like 6G and blockchain, addressing challenges in high-speed data transmission and system stability. Collaborations span industrial partners such as Fujitsu, Qinetiq, and Nortel.

Evgueni Goudzovskiمشاهده پروفایل

استاد

• Particle Physics
• Flavour Physics
• Hidden Sector Physics
• +۴ مورد دیگر

Professor Evgueni Goudzovski is a leading particle physicist at the University of Birmingham, UK, specializing in kaon decays and searches for physics beyond the Standard Model. He holds the position of Professor of Particle Physics and leads the NA62 experiment at CERN, focusing on rare kaon decays and hidden sector physics. His research includes investigations into lepton flavor violation, heavy neutral leptons, and axion-like particles. Education: PhD in Experimental Particle Physics (2006, JINR, Dubna) and MSc in Applied Physics and Mathematics (2002, MIPT, Moscow). Research Interests: Flavour physics, rare kaon decays, dark sector particles, neutrino physics, and precision measurements. He has pioneered studies using the NA62 and NA48/2 experiments, contributing to breakthroughs in understanding CKM matrix elements and lepton universality. Key Contributions: Led the discovery of tagged neutrino detection in NA62, established NA62-UK as spokesperson, and secured ERC funding for lepton flavour violation studies. His NA62 results include first observations of K⁺→π⁺νν and constraints on dark photon production. Grants & Leadership: Principal Investigator on ERC Starting Grant (2014), Birmingham Fellow (2012), and Royal Society Research Fellow (2012–2022). Serves as NA62-UK spokesperson and convener of NA62's Rare Decays Working Group. Labs/Teams: Birmingham NA62 group, NA62 collaboration, HIKE initiative, and KOTO-II project. Active in international efforts like Snowmass and European particle strategy updates.

Scott Tyoمشاهده پروفایل

استاد مدعو

• Tropical Cyclone Dynamics
• Polarimetry
• Antenna Design
• +۳ مورد دیگر

Professor Scott Tyo is an Adjunct Professor in the Department of Electrical and Computer Systems Engineering at Monash University. His research focuses on tropical cyclone dynamics, polarimetry, antenna design, and high-power microwave systems. He has contributed to advancements in remote sensing, climate science, and electromagnetic engineering through innovative approaches in polarization imaging, antenna modeling, and tropical cyclone analysis using satellite data. Key research interests include developing algorithms for tropical cyclone segmentation using CNNs, optimizing antenna systems for high-frequency applications, and advancing polarimetric imaging techniques. His work bridges theoretical physics and applied engineering, with applications in climate monitoring and defense technologies. Recent projects highlight contributions to understanding the radiative effects of tropical cyclones on Earth's energy balance and improving the accuracy of polarization-based imaging systems. His publications span topics from metamaterial design to machine learning-driven remote sensing solutions. No awards or grants are explicitly listed in the provided texts, though his extensive publication record indicates sustained research impact. He collaborates on multi-disciplinary projects involving climatology, optics, and electrical engineering.