جست‌وجوی استاد و پژوهشگر

Raj Parthibanمشاهده پروفایل

استاد مدعو

• Optical Networks
• Visible Light Communication
• Vehicular Communication
• +۲ مورد دیگر

Raj Parthiban is a Professor and Adjunct Professor at Monash University, holding roles in both Malaysia and Australia. He serves as Deputy Dean (Education) in the Faculty of Engineering at Monash Australia. His academic journey includes a PhD in Optical Networks from the University of Melbourne (2004) and a Graduate Certificate in Higher Education from Monash University (2013). He has extensive experience in teaching, with over 10 subjects taught in electrical and computer engineering, achieving high student evaluations. Raj’s research focuses on optical networks, visible light communication, vehicular communication, IoT, and engineering education. He has secured over A$800k in external grants and supervised 18 PhD and 2 Master’s students. His work contributes to UN Sustainable Development Goals related to quality education and sustainable cities. Key projects include developing AI-driven agriculture systems, multimodal travel routing algorithms, and hybrid VLC platforms. He is a Senior Member of IEEE and Optica, and has published over 100 journal/conference articles. His research spans from theoretical models (e.g., optical network architectures) to applied systems (e.g., traffic prediction, LiFi positioning). He actively engages in educational initiatives, including XR (Extended Reality) integration in engineering education and curriculum development.

Florent Haissمشاهده پروفایل

پژوهشگر

• Systems neuroscience
• Neurophysiology
• Behavioral neuroscience
• +۵ مورد دیگر

Florent Haiss is a researcher at the Institut Pasteur in Paris, France, where he leads a research group within the Neural Circuit Dynamics and Decision Making team under the Physics of Biological Function unit. His work is centered on understanding how cortical microcircuits process sensory information and contribute to perception, learning, and decision-making in behaving animals. His research interests lie at the intersection of systems neuroscience, neurophysiology, and behavioral neuroscience, with a strong emphasis on sensory systems—particularly the somatosensory and visual systems. He investigates how neuronal networks interact during cognitive tasks, using advanced methods such as two- and three-photon imaging, optogenetics, intracellular patch-clamp recordings, multi-electrode arrays, and psychophysics in rodent models. The trends in his recent publications indicate a focus on neural coding in the barrel cortex, including how state, choice, and sensory inputs are co-represented. His work also explores autonomic correlates of cognition (e.g., pupillary responses), neural adaptation, and the development of novel neuroimaging tools and neural interfaces. His methodological innovations support long-term, in vivo investigations of neural dynamics. Functional and Structural Properties of Highly Responsive Somatosensory Neurons in Mouse Barrel Cortex Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III Pupillary dilations reflect task engagement and confidence in mice Design of ultra-flexible two-photon microscopes for in vivo use Reorganization of cortical activity during sensory deprivation Florent Haiss mentors early-career researchers, including PhD students and postdoctoral fellows such as Ervan Achirou, indicating an active and productive research group. He has not received any explicitly mentioned scientific awards in the provided texts. His research is supported by institutional affiliations and collaborative networks at the Institut Pasteur, particularly within transversal programs involving quantitative biology and artificial intelligence in biomedical research. He is involved in the development of advanced technologies for neuroscience, including flexible microscopes and large-scale electrode arrays for retinal stimulation, reflecting a strong engineering and translational component in his work. His team collaborates across disciplines, integrating computational modeling with experimental neuroscience.

• Nanophotonics
• Metamaterials
• Silicon Integrated Photonics
• +۵ مورد دیگر

Professor Otto Muskens is a faculty member in the Department of Physics and Astronomy at the University of Southampton , where he leads the Integrated Nanophotonics Group . His research spans nanophotonics , metamaterials , and AI-enabled design , with applications in space-based radiative cooling and defense technologies . His team focuses on programmable photonic circuits using ultra-low-loss phase change materials and ultrafast spectroscopy of nanophotonic systems. Recent work includes wafer-scale silicon photonic testing and machine learning-driven inverse design of optical components. Funding sources include EPSRC , EU projects , and Royal Society grants. Teaching: Module leader for Physics Skills 1&2 (PHYS1017, PHYS1019); Programme leader for MPhys with Nanotechnology Supervision: Currently advising nine PhD students in physics and electronic engineering Collaborations: Active projects with EPSRC, European Union, and European Space Agency

• Biomedical Engineering
• Optics
• Nanotechnology
• +۳ مورد دیگر

Maryam Mahmoodi is a Postdoctoral Research Fellow in the Department of Biomedical Engineering at Purdue University. Her research focuses on advanced optical techniques, including single-molecule imaging, adaptive optics, and the application of hyperbolic metamaterials to enhance fluorescence and resolve intracellular dynamics. She has contributed to developing computational frameworks like SPTnet and TIMEnet for analyzing particle tracking and motion dynamics. Her work bridges nanotechnology, materials science, and biomedical applications. Key research themes include optimizing metamaterial structures for optical enhancements, studying thin film properties, and advancing super-resolution microscopy techniques for neuroscience applications. Her publications from 2017 to 2025 consistently address innovations in metamaterial design, fluorescence probing, and adaptive optics systems. Mahmoodi is affiliated with the Purdue School of Biomedical Engineering and has been recognized through institutional awards and honors, though specific award names are not listed. Her research demonstrates a strong emphasis on translating nanoscale material innovations into practical biomedical imaging solutions.

• Extracellular Vesicles
• Wound Healing
• Cell Signaling Networks
• +۳ مورد دیگر

Dr. Edita Aksamitiene is a Research Scientist at the Beckman Institute for Advanced Science and Technology since 2019. Her research focuses on extracellular vesicles, wound healing, and cell signaling networks, with a strong emphasis on advanced imaging techniques such as multiphoton microscopy and label-free detection systems. Education: Ph.D./Dr. Sc. in Biochemistry, Vytautas Magnus University M.S. in Molecular Biology & Biotechnology, Vytautas Magnus University B.S. in Biology, Vytautas Magnus University Research Interests: Development of novel imaging modalities for biomedical diagnostics, including hyperspectral and multiphoton microscopy. Characterization of extracellular vesicles in biofluids and tissues for disease biomarker discovery. Optogenetic and optoelectronic approaches to study cellular responses to light and magnetic fields. Translation of microplasma technology into clinical treatments for otitis media and other infections. Publications: Her work spans over 40 peer-reviewed articles, with recent focus on label-free imaging systems, real-time vesicle dynamics, and therapeutic applications of microplasma. She has pioneered techniques like SLAM microscopy and integrated Raman/OTC probes for in vivo diagnostics. Grants & Advising: While specific grant details are not listed, her publications imply sustained research funding in biomedical engineering and cell biology. No advisee names are recorded in the provided data. Labs: Conducts research within Beckman Institute's imaging and biomaterials research groups, collaborating with multidisciplinary teams to advance translational biomedical technologies.

Amanda Barnardمشاهده پروفایل

استاد

• Applied machine learning and artificial intelligence
• Data science and eResearch
• Computational methods for physical sciences
• +۲ مورد دیگر

Professor Amanda Barnard is a Senior Professor of Computational Science at the ANU College of Engineering and Computer Science. She leads research in computational modeling, high-performance supercomputing, and AI applications in materials science. With a BSc (Hons) in applied physics (2000) and PhD in theoretical condensed matter physics (2003) from RMIT University, she has held prestigious roles including Distinguished Postdoctoral Fellow at Argonne National Lab (USA) and Violette & Samuel Glasstone Fellow at Oxford University (UK). Board member at BioViS (Garvan Institute), CTCMS (AIBN), Our Health in Our Hands (ANU), and NeSI (New Zealand eScience). Former Chair of the Australian National Computational Merit Allocation Scheme (NCMAS) and current Chair of the Australasian Leadership Computing Grants (ALCG). Research focuses on materials informatics, nanoinformatics, and AI-driven material discovery. Awards include the 2009 Malcolm McIntosh Physical Scientist of the Year, 2014 Feynman Prize in Nanotechnology, and 2019 AMMA Medal. Her work bridges computational science with real-world applications in energy storage, carbon removal, and hydrogen economy technologies. Collaborates with industry through ChoiceFlows Inc. and Data61 (CSIRO).

Alberto Bononiمشاهده پروفایل

استاد

• Optical Communications
• Wavelength Division Multiplexing (WDM)
• Fiber-Optic Transmission Systems
• +۱۱ مورد دیگر

Alberto Bononi is a Full Professor of Telecommunications at the Department of Engineering and Architecture, University of Parma, where he has been a faculty member since 1995, becoming a full professor in 2001. He holds a Ph.D. in Electrical Engineering from Princeton University and has held academic and research positions at SUNY Buffalo, Université Laval, and Alcatel-Lucent Bell Labs. He served as Director of the Master's program in Communication Engineering from 2017 to 2024 and currently teaches graduate courses such as Information Theory, Detection and Estimation, and Machine Learning for Pattern Recognition. His research centers on optical communications, with a focus on WDM transmission systems, optical amplifiers (EDFA, Raman, semiconductor), nonlinear propagation in optical fibers, and submarine transmission systems. He investigates performance evaluation of broadband optical networks and dispersion management in long-haul systems. His work integrates theoretical modeling with practical design for next-generation optical networks. The most recent publications highlight his ongoing contributions to space-division multiplexing, nonlinear interference modeling, and advanced amplifier design for submarine systems. These works reflect a strong trend in high-capacity, multi-dimensional optical transmission technologies aimed at overcoming physical layer limitations in modern fiber-optic networks. Senior Member of IEEE (since 2013) Area Editor, IEEE Transactions on Communications (2010–2020) Associate Editor, IEEE Transactions on Communications (2007–2010) Prof. Bononi has supervised numerous research projects funded by Alcatel-Lucent/Nokia Bell Labs and Italian and international programs such as PRIN, PNRR, and Italy-Québec collaborations. He has led the Parma research unit in multiple national and European initiatives, including WONDER, OSATE, and the current Triboletto project. He has served on technical program committees for major conferences including OFC, ECOC, CLEO, and Globecom. He leads the Optical Communications Lab (OptikLab) at the University of Parma and is affiliated with the Quantum Information Science group at UniPr. His lab conducts cutting-edge research in optical transmission systems, nonlinear effects, and signal processing for high-speed communications.

• Materials Chemistry
• Stimuli-Responsive Polymers
• Soft Robotics
• +۷ مورد دیگر

Larisa Florea is an Associate Professor in the School of Chemistry at Trinity College Dublin, where she leads an independent research group focused on advanced materials and soft robotics. She is also affiliated with the AMBER Centre, a Science Foundation Ireland research center for advanced materials and bioengineering. Her work integrates chemistry, engineering, and data science to develop next-generation responsive materials. Trinity College Dublin, School of Chemistry AMBER Centre (Advanced Materials and Bioengineering Research) Her research centers on stimuli-responsive polymers, 3D/4D printing via two-photon polymerization, microfabrication of smart actuators and sensors, and autonomous micro-vehicles. She develops materials that change shape, color, or function in response to light, temperature, chemicals, or pH, with applications in soft robotics, biomedical devices, and environmental sensing. Her recent publications reveal a strong trend in dynamic photonic structures, sugar-responsive hydrogels, and vapor-sensing microsystems. These works highlight her expertise in merging precision fabrication with intelligent material design. She frequently employs two-photon lithography to create microscale devices with sub-micron resolution, enabling applications in encryption, biosensing, and microfluidics. European Research Council Starting Grant (2018) IRC Laureate STG Award (2018) Invent Commercialisation Award, DCU (2016) Irish Research Council PhD Scholarship (2009) SFI UREKA Undergraduate Award (2008) Larisa Florea has successfully secured major grants, including an ERC Starting Grant and an IRC Laureate Award, to support her independent research. She actively mentors students and postdoctoral researchers, many of whom are co-authors on her high-impact publications. Her lab, the FloreaLab, fosters interdisciplinary collaboration and innovation in materials science. She leads a dynamic research team developing smart microstructures and soft actuators. Her lab utilizes advanced fabrication techniques such as two-photon polymerization and microfluidics to engineer responsive systems. The team collaborates with experts in data analytics, robotics, and bioengineering to push the boundaries of functional materials.

• Optical communications
• Wireless networking
• Network function virtualization
• +۷ مورد دیگر

Piet Demeester is a distinguished researcher in the Department of Information Technology at Ghent University (Universiteit Gent) in Belgium. With a continuous publication record from 1994 through 2024, he has established himself as a leading expert in optical communications, wireless networking, and network virtualization technologies. His work bridges the gap between fundamental research and practical implementation in next-generation communication systems. Dr. Demeester's research spans several critical areas in modern telecommunications: Advanced optical communication systems and radio-over-fiber technologies 5G/6G wireless networks and massive MIMO implementations Network function virtualization and software-defined networking Millimeter wave and terahertz communication systems Network management and performance optimization His recent publications demonstrate a strong focus on integrating optical and wireless technologies to address capacity challenges in next-generation networks. The research shows particular emphasis on sigma-delta modulation techniques, distributed antenna systems, and realistic human exposure modeling for emerging wireless technologies. His work consistently appears in top-tier journals including IEEE Communications Magazine, IEEE Access, and IEEE Journal on Selected Areas in Communications. Dr. Demeester maintains extensive collaborations within Ghent University and with international partners, frequently working with researchers such as Filip De Turck, Bart Dhoedt, Mario Pickavet, and Didier Colle. These collaborations have resulted in numerous high-impact publications addressing critical challenges in telecommunications infrastructure.

Balpreet Singh Ahluwaliaمشاهده پروفایل

استاد

• Optical Microscopy
• Super-resolution Microscopy
• Nanoscopy
• +۷ مورد دیگر

Professor Balpreet Singh Ahluwalia is a distinguished academic at UiT The Arctic University of Norway, where he serves in the Department of Physics and Technology. His expertise lies at the intersection of advanced optical technologies and biomedical applications, with a focus on developing cutting-edge microscopy techniques for life science research. As a principal investigator of multiple high-impact research projects, including ERC-funded initiatives, he leads a dynamic research group focused on optical nanoscopy and bio-imaging. Dr. Ahluwalia's research spans several critical areas in modern optical science: Development of super-resolution optical nanoscopy techniques Quantitative phase imaging for live-cell analysis Integrated photonic circuits for biomedical applications Optical trapping and manipulation of biological specimens Raman spectroscopy for molecular fingerprinting His work has established UiT as a leading center for optical nanoscopy in Northern Europe, with particular emphasis on applications in marine biology, liver physiology, and pathogen detection. The research group has pioneered several novel approaches to high-speed, label-free imaging that overcome traditional limitations in resolution and speed. Analysis of Dr. Ahluwalia's recent publication record reveals a strong trajectory toward computational and AI-enhanced microscopy, with increasing focus on real-time imaging of dynamic cellular processes. His work bridges fundamental optical engineering with practical biomedical applications, particularly in the areas of nanoparticle-cell interactions, bacterial identification, and tissue imaging of marine organisms. Dr. Ahluwalia has received significant recognition through competitive research funding: ERC Starting Grant (16 M NOK) for high-speed chip-based nanoscopy ERC Proof-of-Concept grant (1.5 M NOK) for affordable photonic-chip based optical nanoscopy UiT Strategic Funding (13 M NOK) for Centre for Advanced Nanoscopy Multiple international collaborations including EU MSCA projects As an educator, Dr. Ahluwalia teaches FYS-8029 Optical Nanoscopy and mentors PhD students through multiple funded projects. His laboratory, part of the Ultrasound, Microwaves and Optics research group, maintains state-of-the-art facilities for optical nanoscopy, including custom-built super-resolution microscopes and integrated photonic platforms. The research environment fosters interdisciplinary collaboration between physicists, biologists, and computer scientists working toward next-generation imaging solutions.

Mie Thorborg Pedersenمشاهده پروفایل

پژوهشگر

• Soft Matter Physics
• Food Science
• Gastrophysics
• +۷ مورد دیگر

Mie Thorborg Pedersen is a Postdoctoral Villum Fellow at the University of Southern Denmark (SDU) and a Guest Researcher at ETH Zurich. She is affiliated with the Department of Green Technology (IGT) at SDU's Faculty of Science, specializing in soft matter physics and its applications to food materials. PhD in Biotechnology from SDU Current projects focus on amyloid fibrillation in plant/marine proteins for sustainable edible materials Developed jellyfish-based materials like crisps for culinary innovation Her research integrates gastrophysics with advanced microscopy techniques (STED, CARS, two-photon) and physicochemical analysis to study food microstructure. Recent publications explore colloidal systems analysis via machine learning, solvent-based jellyfish preparation, and food stabilizers derived from marine sources. Her scientific achievements include the Villum International Postdoc Grant (2023) , with key projects like JELLYFibrils (2024-2027) and advanced optical microscopy collaborations (2019-2025). She actively contributes to science outreach, making complex concepts accessible through food-based research.

• Data Compression and Protection
• Telemetry Systems
• Reconfigurable Information Processing Systems
• +۶ مورد دیگر

Світлана Львівна Воропаєва serves as an Assistant Professor at the Department of Computer Systems and Networks within the Faculty of Physics at Yuriy Fedkovych Chernivtsi National University. Holding a Candidate of Technical Sciences degree (2012) with her dissertation on 'Computerized system of UV sources monitoring', she teaches Engineering Graphics, Computer Graphics, and Technology of Designing Computer Systems while maintaining active research in applied computer engineering. Education: Chernivtsi National University named after Yuriy Fedkovych, Faculty of Physics, Department of Electronic Computing Machines (2000) Her research centers on data compression and protection in telemetry reconfigurable information systems, with significant contributions across computer vision (handwritten text recognition, video parameter optimization), image processing (scanned document enhancement), UV radiation monitoring (Tensor-31M radiometer-dosimeter), and semiconductor photodetector systems. She specializes in hardware-software integration for real-time control applications, particularly in UV source management and smart home technologies, while developing advanced signal processing algorithms for spectral coordination and parameter stabilization. Analysis of her 15 most recent publications (2005-2018) reveals consistent focus on applied solutions bridging computer science and physical instrumentation. Her work demonstrates strong interdisciplinary collaboration, particularly with Vorobets and Dobrovolskyi teams, evolving from semiconductor interface modeling (2005-2007) toward practical implementations in computer vision (2018) and smart systems. Key thematic progression shows increasing emphasis on neural networks, parallel computing, and IoT-integrated hardware solutions while maintaining core expertise in radiation physics and optoelectronics. Professional development is evidenced by 15+ certificates (2019-2023) in digital competencies including Adobe Photoshop, project planning, active learning methods, and international conference participation (Austria, Czech Republic, Romania). Her technical leadership spans hardware-software co-design for UV monitoring systems, photodetector optimization, and embedded control modules, with consistent publication output in Ukrainian and international engineering venues.

Amit Ashokمشاهده پروفایل

استاد

• Inverse Problems
• Bayesian Inference
• Information Theory
• +۸ مورد دیگر

Amit Ashok is a Professor of Optical Sciences at The University of Arizona's Wyant College of Optical Sciences and an Assistant Professor in the Department of Electrical and Computer Engineering. His research focuses on computational sensing and quantum-inspired imaging. Education: Ph.D. (2008), University of Arizona; M.S. (2001), University of Cape Town; B.Sc. (1998), University of Swaziland Professional Affiliations: Senior Member of The Optical Society (OSA), Member of IEEE, SPIE Senior Member His research leverages physical optics, machine learning, and information theory to design optical imagers and sensors. Key areas include inverse problems, compressive imaging, and quantum-limited resolution. The Intelligent Imaging and Sensing Lab (I2SL), led by Professor Ashok, develops computational sensing frameworks using reconfigurable optics and parallel computing architectures for applications in high-dimensional imaging and X-ray anomaly detection. Scientific Awards: SPIE Best Paper Award (2010), University of Cape Town Scholarships (1999, 2000), University of Swaziland Dean's, Vice-Chancellor, and Sino-Swazi awards (1995-1998)

Pauline Bennetمشاهده پروفایل

مدرس

• Numerical Optimization
• Photonics
• Nanophotonics
• +۵ مورد دیگر

Pauline Bennet is a Lecturer at Aix-Marseille University (AMU) with expertise in numerical optimization of photonic structures for controlling electromagnetic waves. She is also a PhD candidate in Numerical Optics at Université Clermont Auvergne (UCA), focusing on computational methods for photonic design. Education: Master's in Fundamental Physics and Applications with a Nanophysics track from Université Clermont Auvergne (2019) Her research integrates numerical algorithms with nanophotonics to develop tools like PyMoosh and SolPOC , addressing challenges in solar energy and silicon photonics. She actively contributes to open-source platforms such as Nevergrad for black-box optimization and evolutionary algorithms. Analysis of her publications highlights interdisciplinary work across Photonics , Deep Learning , and Energy Systems , emphasizing applications in antireflective coatings , inverse design , and biomimetic structures . She advocates for energy-efficient internet usage strategies in public outreach articles.

Marika Kieferovaمشاهده پروفایل

مدرس ارشد

• Quantum Computing
• Quantum Algorithms
• Quantum Simulation
• +۳ مورد دیگر

Marika Kieferova is a Senior Lecturer at the School of Computer Science, University of Technology Sydney (UTS), and a researcher at the UTS Centre for Quantum Software and Information (QSI). She previously held a postdoctoral position at UTS and earned her PhD in Physics and Astronomy from the University of Waterloo (2019) with a cotutelle from Macquarie University. Research Interests Her work spans quantum computing, quantum simulation, and quantum information theory. Key areas include developing quantum algorithms for Hamiltonian simulation, error mitigation strategies, and entanglement-induced optimization challenges in quantum neural networks. She explores non-Abelian anyon braiding, engineered dissipation for correlated states, and bound states of interacting photons in superconducting qubit arrays. Article Trends Her recent publications focus on quantum dynamics in many-body systems, error suppression techniques, and algorithmic advancements. Topics include phase transitions in random circuits, superdiffusive quantum transport, and randomized multi-product formulas for efficient simulation. These works highlight her contributions to quantum chemistry, topological quantum computing, and NISQ-era applications. Scientific Awards QIP Best Poster Award (2020) IQC Achievement Award (2019) Grants and Leadership She leads the QB-suite grant for quantum algorithm design (2024-2027) and contributes to defense quantum optimization projects (2021-2024). She serves as an associate editor for Quantum Science and Technology and participates in peer review for Physical Review A.