جست‌وجوی استاد و پژوهشگر

Muhsin Caner Gökçeمشاهده پروفایل

دانشیار

• Optical Wireless Communication
• Atmospheric Turbulence Effects
• Underwater Turbulence Propagation
• +۴ مورد دیگر

Muhsin Caner Gökçe is an Associate Professor at the Department of Electrical and Electronics Engineering, TED University, Faculty of Engineering. He holds a Ph.D. in Electronics and Communication Engineering from Çankaya University and an MS from Ankara University. His research focuses on optical wireless communication systems, particularly in turbulent atmospheric, biological tissue, and underwater environments. Dr. Gökçe has taught courses such as Digital Logic Design, Optical Communications, and Senior Projects since 2009, with extensive contributions to free-space optics and turbulence mitigation techniques. Education: Ph.D., Electronics and Communication Engineering, Çankaya University M.S., Electrical and Electronics Engineering, Ankara University B.Sc., Electrical and Electronics Engineering, Çankaya University (Graduated with High Honor) Research Interests: His work centers on optimizing optical beam propagation in challenging environments, including atmospheric turbulence, biological tissues, and underwater channels. Key areas include adaptive optics compensation, MIMO systems, and modulation techniques like M-ary Pulse Position Modulation (PPM). He explores signal-to-noise ratio improvements and error rate reduction in turbulent conditions. Recent Trends in Publications: Recent works emphasize underwater and marine optical communication systems, tissue turbulence effects on medical imaging, and anisotropic turbulence analysis. He frequently addresses adaptive optics solutions for enhancing beam coupling efficiency and reducing scintillation effects. Awards & Recognition: Teknogirişim Project 2015 for high-data-rate free-space optics TUBITAK Ph.D. Scholarship University scholarships for academic excellence Teaching & Advising: He has instructed courses like EE 222 (Digital Logic Design) and EE 416 (Optical Communications), advising numerous senior projects. His grants include Teknogirişim-funded research on free-space optical systems.

Anders Rasmussenمشاهده پروفایل

دانشیار

• Neurosciences
• Behavioral Neuroscience
• Cognitive Science
• +۳ مورد دیگر

Anders Rasmussen is an Associate Professor and Senior Lecturer at Lund University, specializing in neurophysiology and cognitive science. He leads research on cerebellar functions, associative learning, and neurodevelopmental disorders like ADHD and ASD. His work integrates learning theory, behavioral neuroscience, and in-vivo neurophysiology to understand skill acquisition and brain mechanisms. He holds roles as a Research Team Manager and journal editor, and has supervised multiple academic projects and students. Research Interests: His primary focus is on cerebellar neurophysiology, particularly Purkinje cells, classical conditioning, and the role of the cerebellum in psychiatric conditions. He explores sensorimotor functions, visuospatial abilities, and neurocognitive deficits in neurodevelopmental disorders. Key Projects: He leads projects like 'Cerebellar neurophysiology in a translational perspective' and 'Cerebellar involvement in ADHD and autism.' These investigate cerebellar dysfunction links to psychiatric features and neurocognitive impairments. Awards: Recognitions include Editor roles for Discover Neuroscience, Cor-märkt award, and peer-review excellence certificates from Experimental Brain Research and Neuroscience Letters. Grants & Supervision: He secured funding from foundations like the Crafoord Foundation and has supervised BSc, MSc, and high-school research projects. His activities include organizing conferences and serving on peer review panels.

Stéphane Azouمشاهده پروفایل

استاد

• Optical Communications
• Radio-over-Fiber
• Signal Processing
• +۴ مورد دیگر

Stéphane Azou is a Full Professor at the Ecole Nationale d'Ingénieurs de Brest (ENIB), part of the University of Brest, France. He holds a Master's and PhD in Electronic Engineering from the University of Brest (1993 and 1997), and an HDR (Habilitation à Diriger des Recherches) from the same institution in 2007. His career includes roles as an Associate Professor at the University of Brest (2000–2012) and leading the Signal Processing for Communications group at Lab-STICC from 2007–2012. Currently, he heads the Microwave Photonics & Photonics Architectures and Systems (ASMP) team within Lab-STICC. His research focuses on optical communications, fiber-wireless systems, signal processing, and hardware impairments compensation. He has authored over 60 articles and serves as an Associate Editor for the International Journal of Electronics and Communications and is a Senior Member of the IEEE. Education: PhD in Electronic Engineering, University of Brest (1997) Master of Science in Electronic Engineering, University of Brest (1993) HDR (Accreditation to Supervise Research), University of Brest (2007) Research Interests: His work spans optical fiber communication systems, radio-over-fiber technologies, advanced modulation formats, and signal processing techniques for improving system performance. Key areas include physical layer monitoring, compensation of hardware impairments (e.g., IQ imbalance, laser phase noise), and experimental validation of novel architectures like C-RAN and 5G fronthaul systems using semiconductor optical amplifiers (SOAs). Professional Contributions: Azou has led teams in Lab-STICC, a CNRS laboratory, and contributed to projects on parametric networks for joint channel estimation and symbol detection. His recent work addresses challenges in UWB radar-based detection, nonlinear compensation techniques, and stochastic modeling of optical components like SOAs. Awards and Roles: Senior Member, IEEE (2017–present) Associate Editor, International Journal of Electronics and Communications

Siddharth Ramachandranمشاهده پروفایل

استاد

• Photonics
• Nonlinear Optics
• Quantum Photonics
• +۲ مورد دیگر

Siddharth Ramachandran is a Professor in Electrical and Computer Engineering at Boston University, leading the High Dimensional Photonics Lab where he studies light beams with spatio-temporal complexity and their applications. His lab focuses on singular optics, structured microscopy, and nonlinear/quantum photonics. Research interests include: Orbital angular momentum manipulation Nonlinear optical processes in fibers Quantum light generation Topological confinement phenomena High-dimensional quantum communication Recent publications demonstrate advances in mode-division multiplexing, fiber-based quantum sources, and machine-learning optimized optical systems. Work focuses on scaling mode capacity in optical fibers, developing novel light sources, and exploring topological effects in photonics. His group maintains collaborations across photonics and quantum optics research communities to develop next-generation optical technologies.

• Photonics Integrated Circuits (PICs)
• High Speed Photonic Devices
• Physics of Optical Waveguides
• +۵ مورد دیگر

Frank Peters is a Professor in the Physics Department at University College Cork (UCC), Ireland, and leads the Integrated Photonic Group at the Tyndall National Institute. Previously, he worked in California at companies like Agilent Technologies and Infinera, contributing to the development of photonic integrated circuits (PICs). He joined UCC in 2005 and has since focused on high-speed and integrated photonic devices. He directed the Strategic Research Cluster: PiFAS (2007–2013) and currently leads the Irish Photonic Integration Centre (I-PIC) and CTVR2 photonics strand. His research interests include photonic integrated circuits, semiconductor lasers, computational modeling, and optical communication systems. Peters has developed software tools for photonic circuit design, such as the commercial package 'Vertical,' and his group works on finite element simulations, beam propagation codes, and optimization tools for PIC components. His recent work spans topics like monolithic integration of lasers, high-speed photodetectors, and advanced modulation schemes. Peters' contributions have been published in journals such as Optics Express, Journal of Lightwave Technology, and IEEE Photonics Technology Letters. He collaborates with industry and academia to advance photonic technologies for telecommunications and datacom applications.

Yanhua Hongمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Lasers
• Nonlinear Dynamics
• Chaos Theory
• +۳ مورد دیگر

Dr. Yanhua Hong is a Reader in the School of Computing and Engineering at Bangor University. His research focuses on nonlinear dynamics of semiconductor lasers, chaos theory, and their applications in optical communications and microwave photonics. He leads projects such as 'Microwave Photonics Generation Using Low-Cost VCSELs' and has published extensively in journals like Optics Express and Photonics. Key areas of expertise include semiconductor laser dynamics under optical feedback, secure communication systems leveraging chaotic signals, and the design of photonic microwave generation systems. Hong collaborates internationally with institutions like Southwest University (China) and the Universitat Politècnica de Catalunya (Spain). He actively supervises PhD students and examines external theses. Recent work highlights include high-speed secure stream ciphers using synchronized chaos, optimization of multimode fiber imaging systems, and analysis of intermittent laser dynamics via reservoir computing. His contributions bridge fundamental research with applied photonics, contributing to advancements in optical security, signal processing, and next-generation communication networks.

Pengfei Fanمشاهده پروفایل

مدرس

• Computational Imaging
• Low-level Vision
• Image Restoration and Enhancement
• +۳ مورد دیگر

Dr. Pengfei Fan is a Lecturer in Data Science and AI at Queen Mary University of London (QMUL). He holds a PhD from QMUL (2021), focusing on learning-based imaging through dynamic scattering media. He previously served as an Assistant Professor at Xi'an Jiaotong-Liverpool University (2022–2024) and as a Research Associate at Nanjing University of Science and Technology (2021–2022). He also held a Visiting Researcher position at Tsinghua University (2020). His research interests span computational imaging, low-level vision, and medical imaging applications. He has secured grants such as the President and Principal’s Fund for Educational Excellence (2024) and collaborates with organizations like EPSRC, Royal Society, NSFC, and Jiangsu Science and Technology Programme. Pengfei is an active member of academic societies (IEEE, IET, BMVA, OSA, SPIE, IAPR) and holds Fellow status with the Higher Education Academy (FHEA). He contributes to educational initiatives via roles at QMUL-BUPT Joint Teaching and Learning Centre and the Centre for Excellence in AI in Education. His recent work emphasizes diffusion models, medical image segmentation, and competition-based learning in education. He welcomes PhD applications through CSC, CONACYT, and HEC.

Lei Suمشاهده پروفایل

استاد

• Sensors and Instrumentation
• Optical Devices and Systems
• Optoelectronics
• +۸ مورد دیگر

Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .

Jacqui Romeroمشاهده پروفایل

دانشیار

• Quantum Information
• Quantum Technologies
• High-dimensional Quantum Systems
• +۳ مورد دیگر

Associate Professor Jacqui Romero is an expert in experimental quantum information science at the University of Queensland (UQ), leading the Qudits@UQ research group. She holds a PhD from the University of Glasgow and has held prestigious fellowships including the ARC DECRA (2016) and Westpac Research Fellowship (2019). Her research focuses on high-dimensional quantum systems (qudits), exploring their applications in quantum technologies such as communication, computation, and error correction. She is affiliated with the ARC Centre of Excellence for Engineered Quantum Systems (EQUS) and teaches quantum technologies at UQ. Education: Bachelor of Applied Physics (magna cum laude), University of the Philippines Diliman Master of Science in Physics, University of the Philippines Diliman Doctor of Philosophy, University of Glasgow Research Interests: Dr. Romero’s work emphasizes generating and characterizing high-dimensional quantum states, designing quantum devices via inverse optimization, and testing indefinite causal order phenomena. Her team explores quantum error correction, quantum imaging, and the advantages of high-dimensional entanglement in robust quantum communication. Awards: L’Oréal-UNESCO For Women In Science Award (2017) Ruby Payne-Scott Medal (2018) L’Oréal-UNESCO International Rising Talent Award (2019) Grants & Funding: ARC Training Centre in Current and Emergent Quantum Technologies UQ Major Equipment Grant for a multimode optical waveguide facility Labs & Teams: Qudits@UQ, a dedicated experimental group advancing quantum technologies through photonics-based high-dimensional systems research.

• Optical Communication
• Spatial Division Multiplexing (SDM)
• Nonlinear Interference in Optical Fibers
• +۴ مورد دیگر

Chiara Lasagni is a Researcher at the Department of Engineering and Architecture, University of Parma, where she is actively engaged in research and teaching in the field of Communication Engineering. She teaches the course Network Performance in the Second Cycle Degree in Communication Engineering for academic years 2023/2024, 2024/2025, and 2025/2026, and previously served as a tutor for the First Cycle Degree in Computer Technologies Engineering in 2021/2022. Her research focuses on advanced optical communication systems, particularly in the areas of spatial division multiplexing (SDM), nonlinear interference modeling, mode dispersion effects, and machine learning applications for optical network optimization. Her work contributes to improving the performance and capacity of high-speed optical transmission systems, including submarine links. The recent publications highlight a strong trend in modeling and mitigating nonlinear effects in multimode and few-mode optical fibers, with increasing integration of data-driven techniques such as machine learning for low-complexity optimization. Her research bridges theoretical modeling and practical implementation in next-generation optical networks. She has not been publicly associated with any scientific awards or fellowships based on the available information. Chiara Lasagni advises students at the undergraduate level, having served as a teacher tutor, but no graduate advisees are listed. There is no mention of research grants or funding sources in the provided text. She is actively contributing to impactful research in optical communications through collaborations with notable researchers such as Paolo Serena, Alberto Bononi, and Antonio Mecozzi. No specific laboratory or research team name is mentioned, but her work appears to be part of a larger research group focused on optical communications and network performance within the Department of Engineering and Architecture at the University of Parma.

Ana Simovicمشاهده پروفایل

مدرس

• Optical Physics
• Fiber Optics
• Atomic Physics
• +۳ مورد دیگر

Dr. Ana Simovic is an Assistant with a doctorate at the Institute of Physics, Faculty of Science and Mathematics, University of Kragujevac. She holds a position in the Physics department and has been contributing to the academic community since completing her doctorate in 2014. Dr. Simovic completed her undergraduate studies in 2008 and earned her doctorate in 2014. While specific details of her educational institutions are not provided in the available information, her academic journey has led her to a faculty position at the University of Kragujevac. Dr. Simovic specializes in Atomic, molecular and optical physics , with a specific research focus on Testing the transmission characteristics of multimode optical fibers with a W-shaped refractive index . Her work sits at the intersection of optical physics and fiber optics engineering, contributing to advancements in optical communication technologies. Her research interests span multiple areas including Optical Physics, Fiber Optics, Atomic Physics, Molecular Physics, Optical Engineering, and Refractive Index Studies. This multidisciplinary approach allows her to address complex problems in photonics and optical transmission systems. Based at office V-0-14 in the Institute of Physics, Dr. Simovic is an active member of the physics research community at the University of Kragujevac. Her work contributes to the broader research efforts in optical physics within the institution.

Arthur GOETSCHYمشاهده پروفایل

مدرس

• Wave Propagation in Complex Media
• Random Lasers
• Quantum Information in Disordered Systems
• +۴ مورد دیگر

Arthur GOETSCHY is a Lecturer at ESPCI Paris and an active researcher at the Langevin Institute, focusing on wave propagation phenomena in complex and disordered media. His work bridges theoretical physics with practical applications in optics, quantum information, and biomedical imaging. He maintains an office at Room R52 with contact number 01 80 96 39 46. GOETSCHY's research centers on coherent control of wave propagation in disordered environments, with particular emphasis on optimization of transmission, absorption, and focusing. His scientific activities span microscopic theory of random lasers , quantum information propagation in complex media, photon-phonon dynamics in optomechanical networks, light propagation in cold atomic gases , and advanced random matrix theory applications. His work demonstrates how wave interference effects can be harnessed to control light in scattering environments. Analysis of his publication record from 2017-2025 reveals a consistent focus on wave control in disordered systems, with increasing sophistication in manipulating light for practical applications. His recent work (2023-2025) shows strong emphasis on broadband light delivery, multi-region control, and quantum aspects of wave propagation. A notable trend is the progression from fundamental theoretical understanding toward applications in biomedical imaging and telecommunications. At the Langevin Institute, GOETSCHY contributes to research on wave phenomena in complex media, collaborating with physicists working on multiple scattering, quantum optics, and nanophotonics. His theoretical work complements experimental efforts at the institute, particularly in wavefront shaping techniques and characterization of light propagation through turbid media.

Zhiyong Liangمشاهده پروفایل

استاد

• Composite materials and processing
• Multifunctional nanomaterials
• Carbon nanotube buckypaper
• +۵ مورد دیگر

Zhiyong Liang serves as Professor, Director of the High-Performance Materials Institute (HPMI), and Associate Dean for Research at Florida State University's College of Engineering. He holds dual appointments in the Industrial and Manufacturing Engineering and Materials Science & Engineering departments. His research drives innovation in advanced composite materials and nanotechnology through leadership in multiple centers including the Florida Center of Excellence in Advanced Materials (CEAM). His educational background includes a Ph.D. (2000), M.Sc. (1990), and B.Sc. (1987) in Materials Science and Engineering from Beijing University of Aeronautics & Astronautics. His research focuses on carbon nanotube buckypaper materials, multifunctional composites, and nanoscale manufacturing processes. Key achievements include developing roll-to-roll manufacturing techniques for aligned carbon nanotubes and creating novel nanocomposite structures with enhanced thermal/electrical properties. Liang's publication portfolio demonstrates consistent innovation in nanomaterials science, with emphasis on carbon nanotube alignment mechanisms, buckypaper composite fabrication, and energy storage applications. His work bridges fundamental nanoscale characterization with practical manufacturing solutions, particularly in aerospace and energy sectors. Recent publications highlight advancements in atomic-resolution interface analysis, flexible sensor design, and sustainable composite recycling methods. As principal investigator, Liang has secured over 50 research grants from NSF, AFOSR, ONR, and industry partners like Cytec Engineering Materials. His leadership has generated significant intellectual property including 25 US patents related to carbon nanotube processing and composite manufacturing. The Florida Center of Excellence under his direction represents major state investment in advanced materials research. Liang has mentored 36 graduate students (10 Ph.D. and 26 Master's graduates) and 22 postdoctoral researchers. His former students hold prominent positions in academia (including two U.S. professors), national laboratories, and industry leaders like Honeywell and M.C. Gill Corp. His research group maintains strong industry partnerships through sponsored projects and technology transfer initiatives.

Feng Cuiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Computational Biology
• +۴ مورد دیگر

Feng Cui is an Associate Professor in the Thomas H. Gosnell School of Life Sciences at Rochester Institute of Technology (RIT), where he serves as Graduate Director of the Bioinformatics MS Program and is an affiliated faculty member of the Golisano College for Computing and Information Sciences. He holds the position of Faculty Senator (Alternate) and maintains an active research laboratory focused on computational biology and bioinformatics. His educational background includes an MS from Truman State University, a Ph.D. in Bioinformatics and Computational Biology from Iowa State University, and an MD from Hunan Medical University in China. Following his doctoral studies, he completed postdoctoral training at the National Cancer Institute (NCI). Dr. Cui's research spans three primary areas: exploring nucleosomal DNA diversity, developing machine learning approaches to predict nucleosome-binding proteins, and applying artificial intelligence to medical and systems biology challenges. His work combines computational approaches with biological insights to address fundamental questions in chromatin structure and develop practical applications for disease diagnosis and treatment. His publication record from 2012-2023 demonstrates consistent output in high-impact journals including Nucleic Acids Research, BMC Bioinformatics, and Frontiers in Bioinformatics. His recent work shows a clear progression toward increasingly sophisticated AI applications in biology, with a growing emphasis on deep learning techniques for medical applications, particularly in cancer research and virology. Dr. Cui actively mentors students at multiple levels, with numerous undergraduate and graduate researchers contributing to his projects. His laboratory has been supported by funding from the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health under award number R15GM149587. The Cui Research Group maintains a strong focus on the interface between computer science and biology, with current projects investigating nucleosomal DNA patterns, machine learning prediction of protein-DNA interactions, and AI applications for medical diagnostics. The lab has developed several computational tools including nuMap for nucleosome positioning prediction and ProtGauss for predicting nucleosome binding modes.

Marta Orlandoمشاهده پروفایل

پژوهشگر ارشد

• Synaptic Plasticity
• Hippocampal Neuroscience
• Neural Circuits
• +۳ مورد دیگر

Dr. Marta Orlando is a Research Fellow at Charité - Universitätsmedizin Berlin's Neuroscience Research Center and a core member of Collaborative Research Center SFB 1315 "Excitatory Neuronal Networks of the Hippocampus". Her work investigates cellular mechanisms of memory formation through hippocampal circuit analysis and synaptic function. Her research focuses on: Synaptic vesicle dynamics and presynaptic plasticity CA3 pyramidal neuron connectivity subtypes Mossy fiber synaptic transmission mechanisms Ultrastructural analysis via electron microscopy Computational modeling of neural networks Machine learning applications in neuroanatomy Recent publications reveal her pivotal role in discovering asymmetric connectivity between thorny/athorny CA3 neurons governing sharp wave sequences (eLife 2025) and synapsin's regulatory role in mossy fiber plasticity (eNeuro 2024). She pioneered an automated CNN-based synaptic vesicle detection system applicable across species (eNeuro 2022). As part of SFB 1315, she collaborates with Prof. Dietmar Schmitz's team using multimodal approaches—combining electrophysiology, super-resolution microscopy, and computational analysis—to dissect how hippocampal networks encode and replay memory sequences.