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Mohsen RahmaniView profile

Professor

• Nano-materials
• Nonlinear nano-photonics
• Optical nano-sensing
• +3 more

Mohsen Rahmani is a Distinguished Professor at Nottingham Trent University's School of Science & Technology, where he serves as the Leader of the Advanced Optics and Photonics (AOP) Laboratory. He holds prestigious fellowships including the Royal Society Wolfson Fellowship and UK Research and Innovation Future Leaders Fellowship, and has been recognized as an IEEE Nanotechnology Council Distinguished Lecturer (2024) and The Royal Society Yusuf Hamied Visiting Fellow (2024). His educational background includes a PhD from the National University of Singapore (2009-2013), MSc from National Technical University of Ukraine (2007-2009), and BEng from Iran Azad University (2000-2004). Prior to joining NTU, he held positions at Australian National University (2016-2020) and Imperial College London (2013-2015). Rahmani's research focuses on Nano-materials (design, modeling, and fabrication of metallic, dielectric, and semiconductor nanoparticles), Nonlinear nano-photonics (all-optical conversation of light frequencies for NIR imaging, night-vision, and species' health detection), and Optical nano-sensing (ultrasensitive nano-scale materials for gas/liquid detection of low concentration substances/biomarkers). His work bridges fundamental physics with practical applications in imaging, sensing, and communications. His 15 most recent publications (2022-2024) demonstrate a strong focus on metasurfaces, nonlinear optics, and infrared imaging technologies. Key themes include bound states in the continuum, frequency conversion, silicon photonics, and applications in biomedical diagnostics and wireless communications. His research shows a clear trajectory toward practical implementations of nanophotonic technologies for real-world problems. Outstanding Editor Award, Opto-Electronic Advances (2020) Eureka Prize for Outstanding Early Careers (2018) Australian Optical Society Geoff Opat Early Career Researcher Prize (2018) Australian National University Vice Chancellor's Award (2018) Young Scientist Medal and Prize from IUPAP (2017) Royal Society Wolfson Fellowship UKRI Future Leaders Fellowship (£1.2 million) Rahmani has secured significant research funding from The UK Research and Innovation, The Royal Society, and The Australian Research Council. At NTU, he built the Advanced Optics and Photonics Lab from scratch, attracting outstanding scientists and students to work on ambitious projects including nano-particle based disease detection systems and technologies to reduce light pollution. His editorial roles include Associate Editor of Opto-Electronic Advances (2018-present) and past Guest Editor for Nanomaterials (2020-2022). Through the AOP Lab (www.aoplab.com), Rahmani leads a dynamic research team focused on developing transformative nanophotonic technologies. His lab's work spans fundamental research on light-matter interactions at the nanoscale to applied projects with potential commercial impact, particularly in medical diagnostics and energy-efficient imaging technologies.

Francisco RuizView profile

Associate Professor

• Fuel Atomization
• Internal Combustion Engines
• Regenerative Thermodynamic Cycles
• +2 more

Dr. Francisco Ruiz is Associate Professor of Mechanical and Aerospace Engineering at Illinois Institute of Technology's Armour College of Engineering, specializing in thermal sciences and energy systems. Education: Ph.D. in Mechanical Engineering from Carnegie Mellon University (1987) M.S. in Mechanical Engineering from Carnegie Mellon University (1985) B.S. in Aerospace Engineering from Universidad Politécnica de Madrid (1983) His research investigates fundamental mechanisms of fuel atomization, cavitation effects in injection systems, and advanced internal combustion concepts including regenerative cycles and natural gas engines. He pioneers computational modeling approaches for combustion optimization and has developed innovative curriculum frameworks for engineering innovation. Publications demonstrate enduring focus on adaptive thermodynamic cycles, combustion stability, and fluid atomization physics. Recent work examines novel engine architectures and combustion modeling techniques for efficiency improvement. Awards recognize research and educational innovation: Tanasawa Award for atomization research (1988) SAE Teetor Award (1990) Chicago Tribune All-Professor Team (1993) He leads the Invention Center pedagogy initiative transforming engineering education through design thinking methodologies. Professional memberships include SAE, Tau Beta Pi, and Pi Tau Sigma.

Nicolas CerfView profile

Professor

• Quantum Information Science
• Quantum Cryptography
• Quantum Computation
• +3 more

Nicolas Cerf is a Full Professor at the Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles (ULB), where he heads the Centre for Quantum Information and Communication (QuIC). He has been a faculty member at ULB since 1998, initially as an associate professor and promoted to full professor in 2009. Cerf maintains visiting appointments at Caltech, MIT, and the University of Arizona, demonstrating his international standing in the quantum information community. His educational background includes a M.Eng. in Electronics and Telecommunication (1987), M.Sc. in Physics (1988), and Ph.D. in Physics (1993), all from ULB. After his PhD, he was awarded a Marie Curie fellowship and worked at the University of Paris XI, followed by research faculty positions at Caltech before returning to ULB. Nicolas Cerf's research focuses on quantum information science, with significant contributions including the discovery of the role of negative (conditional) entropies in quantum information theory, development of continuous-variable quantum cloning and cryptographic protocols, invention of the adiabatic quantum search algorithm, and establishing the fundamental quantum limit on information transmission via Gaussian bosonic channels. His work spans quantum information theory, quantum cryptography, quantum computation, quantum optics, and quantum foundations. His recent publications (2023-2025) demonstrate continued innovation in quantum information processing, particularly in boson sampling validation, Wigner entropy theory, majorization applications, and quantum channel capacities. These works show a consistent focus on both theoretical foundations and practical applications of quantum information principles. Marie Curie Excellence Award (2006) Caltech President's Fund award (1997) Alcatel-Bell scientific prize (1999) Prize of the Wernaers fund awarded by the Belgian National Fund for Scientific Research (FNRS) (2000) Elected member of the Royal Academies for Science and the Arts of Belgium (2009) COVAQIAL project nominee for 2007 Descartes Prize Nicolas Cerf has supervised numerous PhD students including Sofyan Iblisdir, Jérémie Roland, Gilles Van Assche, and many others. He has hosted many postdocs and senior scientists. His research has been supported by numerous European projects across multiple Framework Programs, including EQUIP, CHIC, RESQ, SECOQC, COVAQIAL, QAP, COMPAS, HIPERCOM, QALGO, QUCHIP, ShoQC, and AppQInfo. As head of QuIC, Cerf leads a research team exploring cutting-edge topics in quantum information. The group maintains strong international collaborations and has been instrumental in establishing Belgium as a significant player in quantum information research. The team's work bridges theoretical developments with potential applications in quantum communication, quantum computing, and quantum cryptography.

• High Energy Physics
• Particle Physics
• Cosmic Ray Physics
• +10 more

Prof. Dr. Martin Erdmann is a University Professor of Experimental Physics (High Energy Physics) at RWTH Aachen University, affiliated with the Department of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences. He leads research in high-energy particle physics through the CMS experiment at CERN and the Pierre Auger Observatory in Argentina. His work integrates cutting-edge digital methods, including deep learning and cloud-based data analysis via the VISPA platform. PhD, University of Freiburg (1990) Habilitation, University of Heidelberg (1996) Heisenberg Fellow at DESY and University of Karlsruhe (1997–2002) Professor at RWTH Aachen since 2004 His research interests span Higgs and top-quark physics, cosmic ray detection, radio-based shower measurement, and AI-driven data analysis. He actively contributes to physics education through textbooks and open-access video lectures. His recent publications reflect strong trends in applying deep learning to particle and astroparticle physics, particularly in event reconstruction and simulation. He leads major initiatives like the ErUM-Data-Hub and DIG-UM, advancing digital transformation in fundamental research. Heisenberg Fellowship (DESY and Karlsruhe) Chair, DPG Working Group on Physics, Modern IT, and AI (2019–2021) Project Leader, ErUM-Data-Hub (since 2021) Chair, DIG-UM Community Organization (2021–2024) Prof. Erdmann advises students at all levels and fosters innovation in data science for physics. He has secured leadership roles in international collaborations and promotes sustainable, resource-aware computing in research. His lab develops advanced detector technologies and simulation tools like CRPropa for cosmic ray propagation. Future work includes probing Higgs self-coupling, identifying cosmic ray sources, and refining AI models for physics discovery.

Dimitrios ApostolopoulosView profile

Assistant Professor

• Optical Communication Systems
• Optical Wireless Technologies
• Converged Optical-Wireless Networks
• +2 more

Dimitrios Apostolopoulos serves as Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), within the Division of Information Transmission Systems and Material Technology. His academic foundation was built at NTUA where he earned both Diploma (2004) and Ph.D. (2009) degrees, followed by an MBA from Hellenic Open University. His educational qualifications include: Diploma in Electrical and Computer Engineering, NTUA (2004) Ph.D. in Electrical and Computer Engineering, NTUA (2009) MBA, Hellenic Open University Prof. Apostolopoulos specializes in optical communication systems, optical wireless technologies, and converged optical-wireless networks, with particular expertise in photonic integrated circuits for telecom/datacom/sensing applications and optical computing for AI. His research directly addresses next-generation network challenges through photonic innovation, bridging theoretical frameworks with practical engineering solutions for 5G/B5G/6G systems. Analysis of his 2024-2025 publications reveals dominant themes in 6G hybrid transport architectures (fiber/FSO/mmWave), silicon photonics for aerospace environmental sensing, and integrated optical components for Lidar/gas detection systems. This work demonstrates consistent progression from fundamental photonic research to real-world deployment scenarios. His scientific recognition includes: Dimitris N. Chorafas Foundation Award (2009) for doctoral contributions to all-optical broadband communications Prof. Apostolopoulos actively leads over 15 European/national research projects while serving on technical committees for ECOC, IEEE GLOBECOM, and N&N conferences. As co-chair of EuCNC/6G Summit's Wireless/Optical/Satellite Networks track, he shapes next-gen network standards. His teaching portfolio spans undergraduate telecommunications courses from circuit analysis to optical network design. He maintains active collaboration within photonic research teams through projects like Int5Gent and Int5gent, focusing on integrated solutions for communications infrastructure and sensing applications across aerospace and environmental monitoring domains.

Bert HechtView profile

Professor

• Nano-Optics
• Bio-Photonics
• Plasmonics
• +4 more

Prof. Dr. Bert Hecht is a Professor and Head of Experimental Physics V at the University of Würzburg's Faculty of Physics and Astronomy. He leads the Nano-Optics and Bio-Photonics group within the Chair of Experimental Physics (Biophysics). His research focuses on plasmonics, quantum optics, and nanophotonics, with applications in nanoantenna design, nonlinear optics, and bioimaging. He is affiliated with the Department of Experimental Physics V and oversees activities in the P1 building (Room B-040a). Research interests include nanoscale optical manipulation, coherent light-matter interactions, and fabrication of advanced nanostructures using helium ion milling and two-photon polymerization. He collaborates on projects such as magnetic particle imaging and traveling wave MPI. His lab is equipped for ultrafast spectroscopy, photoemission electron microscopy (PEEM), and nanofabrication. Notable contributions include work on electrically driven optical antennas, quantum plasmonic circuits, and all-optical magnetic domain switching. He supervises graduate students like Robert Zürl and participates in international conferences like the 18th ICMRM. Contact details include bert.hecht@uni-wuerzburg.de and ORCID 0000-0002-4883-8676.

David SchipfView profile

Assistant Professor

• Optics/Photonics
• Acoustics/Phononics
• MEMS
• +5 more

David Schipf is an Assistant Professor of Engineering and Physics at Whitworth University , located in the Eric Johnston Science Center. He leads the Wave Information Laboratory (WIL), focusing on advanced research in optoelectronics, metamaterials, and additive manufacturing. His academic role includes teaching courses such as Optics , Control Systems , and Engineering Design . Dr. Schipf holds a Ph.D. in Engineering from the University of Washington. His research interests span Optics/Photonics , MEMS , Acoustic Metamaterials , and Additive Manufacturing of piezoelectric ceramics. Notable projects include developing mirrorless MEMS imaging systems and binder-jet-printed piezoelectric composites . His work emphasizes all-optical deep learning and fluid-optical encryption systems . Recent publications (2013–2024) cover topics like underwater 3D imaging, electrowetting lens dynamics, and non-reciprocal metamaterials. He has received prestigious awards including the National Research Council Postdoctoral Fellowship (2019–2022) and Boren Fellowship (2015–2016). Dr. Schipf is expanding his lab’s capabilities with a planned acquisition of a BlueWave Spectrometer from StellarNet, Inc. His teaching includes Principles of Engineering Design and Thermal Fluids Lab . Current research also explores acoustic wave control and metamaterial-based sensors .

• Computational Display
• Virtual Reality
• Augmented Reality
• +8 more

Bin Chen is a Lecturer at the School of Computing and Information Systems, University of Melbourne, where he conducts research at the intersection of computer graphics, computational imaging, and human perception. He was previously a postdoctoral researcher at the Max-Planck-Institut für Informatik and a visiting scholar at the University of Cambridge. Research Interests: His work spans Computational Display , focusing on glass-free 3D and VR/AR systems; Perception , studying how humans perceive virtual materials and gloss; and Computational Imaging , developing AI-driven methods for HDR, deblurring, and depth synthesis. He uses both optical hardware and software rendering to enhance visual fidelity. Recent Research Trends: His recent publications emphasize deep learning for image restoration (e.g., deblurring, tone mapping), neural representations for image stacks, and perceptual validation of material rendering. The integration of light field displays and self-supervised learning is a key theme across his recent work. Scientific Awards: CVPR Best Paper Award Finalist (Top 0.4%) – 2022 Service and Mentoring: Bin Chen has served on the Technical Paper Committees for SIGGRAPH, SIGGRAPH Asia, CVPR, and AAAI. He actively mentors PhD students and invites self-motivated candidates to join his research group. He has advised students such as Tao Huang, Lingyan Ruan, Chao Wang, and Jizhou Li. Laboratory and Teams: While no formal lab name is specified, his research group at the University of Melbourne focuses on visual computing, with strong collaborations extending from City University of Hong Kong to Max-Planck-Institut and the University of Cambridge.

Juan P. GarrahanView profile

Professor

• Statistical physics of supercooled liquids and glasses
• Glass transitions and dynamic arrest
• Quantum non-equilibrium systems
• +4 more

Professor Juan P. Garrahan is a distinguished academic in the School of Physics & Astronomy at the University of Nottingham, where he has served as Professor of Physics since 2007. His extensive academic career includes prestigious appointments as a Visiting Fellow at All Souls College, Oxford (2020), Pitzer Visiting Professor at UC Berkeley (2007), and EPSRC Advanced Fellow (2003-2008). He currently holds multiple leadership roles including Postgraduate Admissions Tutor, PGT Senior Tutor, and Director of the Machine Learning in Science (MLiS) MSc program. Garrahan earned his Licenciado in Physics from the University of Buenos Aires in 1992, followed by his PhD from the same institution in 1997. His academic journey continued with postdoctoral work at Oxford (1998-2000), a Glasstone Fellowship (2000-2003), and lecturing positions at Oxford before joining Nottingham. His career progression at Nottingham includes Lecturer (2003-2006), Reader (2006-2007), and Professor (2007-present). Professor Garrahan's research spans the intersection of statistical physics, quantum mechanics, and machine learning. His work focuses on statistical physics of supercooled liquids and glasses , glass transitions and dynamic arrest , quantum non-equilibrium systems , large deviation theory , and statistical mechanics of machine learning . His approach combines theoretical frameworks with practical applications, particularly in understanding complex systems that exhibit glassy behavior. His research has significant implications for materials science, quantum computing, and machine learning algorithms. Analysis of his recent publications reveals a strong trend toward quantum non-equilibrium phenomena, with particular emphasis on connections between glass physics and quantum information. His work increasingly bridges classical statistical mechanics with quantum systems, exploring how concepts like dynamical phase transitions and large deviation theory apply to both domains. The integration of machine learning techniques into traditional physics problems represents another significant trajectory in his recent research. EPSRC Advanced Fellow (2003-2008) Glasstone Fellow (2000-2003) Pitzer Visiting Professor, UC Berkeley (2007) Visiting Fellow, All Souls College, Oxford (2020) Leverhulme Trust Grant recipient (multiple awards) Professor Garrahan has mentored over 15 PhD students to completion, with many now holding faculty positions or prestigious research fellowships. His current research is supported by multiple major grants including EPSRC Grant EP/V031201/1 (2021-2025) and EP/T022140/1 (2021-2024), reflecting the significance and impact of his work. He has successfully secured continuous funding since 2003 through various mechanisms including EPSRC, Leverhulme Trust, and international collaborations. Garrahan leads the Centre for Quantum Non-Equilibrium Systems (CQNE) at Nottingham and has organized numerous high-profile workshops including the 2024 'Machine learning meets many-body physics' conference. His research group includes multiple postdoctoral researchers working on interdisciplinary projects that span statistical physics, quantum information, and machine learning applications. The group maintains strong collaborations with institutions worldwide and regularly hosts visiting scholars through programs like the Leeds-Loughborough-Nottingham Non-Equilibrium Seminars.

Shu-Wei HuangView profile

Associate Professor

• Photonics
• Quantum Engineering
• Nonlinear Optics
• +5 more

Shu-Wei Huang is an Associate Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. His research focuses on advanced photonics and quantum engineering, with specialties in nonlinear optics, frequency combs, and ultrafast laser systems. He holds affiliations with both the ECEE department and the Photonics and Quantum Engineering group. His work emphasizes novel laser designs, microresonator-based systems, and applications in optical sensing and quantum technologies. Dr. Huang's research interests include the development of high-performance laser systems, such as counterpropagating all-normal dispersion (CANDi) fiber lasers, and the creation of advanced frequency comb technologies. He explores topics like dissipative soliton generation, parametric oscillation, and the integration of machine learning for predictive modeling in nonlinear optics. His experimental work involves cutting-edge platforms such as lithium niobate microresonators and graphene-enhanced devices. His recent contributions span innovations in photonic flywheel systems for stable frequency combs, broadband magnetometry using magnetic nanoparticles, and lidar measurement techniques. He has pioneered methods for deterministic microcomb generation and explored applications in high-resolution imaging and biochemical sensing. His research bridges fundamental physics with engineering applications, addressing challenges in precision metrology and quantum-enabled technologies. Dr. Huang's lab is located in ECEE 1B79, and his work is supported by grants focusing on nonlinear optics, ultrafast lasers, and integrated photonics. His team actively collaborates on projects involving coherent dual-comb spectroscopy, electrically tunable frequency combs, and nanophotonic devices for next-generation optical systems.

• Green and Sustainable Wireless Communications
• IoT
• Machine Learning
• +7 more

Dr. Lina Mohjazi is a Senior Lecturer in Autonomous Systems & Connectivity at the James Watt School of Engineering, University of Glasgow. She holds a B.Sc. (Honours) from UAE University (2008), M.Sc. from Khalifa University (2012), and Ph.D. from the University of Surrey (2018), all in Electrical and Electronic Engineering. Her research focuses on green wireless communications, IoT, machine learning, and beyond 5G technologies. She is an Associate Editor for IEEE Communications Letters and has received accolades including IEEE awards and global talent recognitions. Notable contributions include work on reconfigurable intelligent surfaces (RIS), federated learning, and sustainable network design. She leads research groups exploring 6G innovations, digital twins, and AI-driven healthcare systems. Education: B.Sc., M.Sc., Ph.D. in Electrical and Electronic Engineering Affiliations: IEEE Senior Member, Fellow of Women’s Engineering Society Key Projects: Vision-aided mmWave networks, RIS-assisted UAV communications Dr. Mohjazi’s work bridges theoretical advancements with practical applications in smart grids, healthcare IoT, and autonomous systems. Her recent efforts emphasize sustainability in wireless systems and blockchain integration for secure UAV networks.

• Electromagnetic fields with complex systems
• Neuromorphic computing
• Plasmonic resonators and materials
• +7 more

Matthew Arnold is an Associate Professor in the School of Mathematical and Physical Sciences at the University of Technology Sydney (UTS), where he has been employed since 2007, progressing from Lecturer to Senior Lecturer and currently Associate Professor. His academic career includes postdoctoral research at the University of Canterbury and visiting positions at the Fraunhofer Institute Jena (2001) and University of Southampton (2008). Arnold holds a PhD and BSc(Hons) from the University of Otago, New Zealand. His leadership roles at UTS include serving as Physics Discipline Leader, BSc(Physics) Program Director, and currently as HDR director and RAO for the Faculty of Science. He is also active in professional organizations, having served as Chair of the NSW Australian Institute of Physics and as a senior member of both Optica and SPIE. Arnold's research focuses on the interaction of electromagnetic fields with complex systems, spanning from modeling and design to fabrication and characterization. His primary research areas include neuromorphic computing using percolating networks of nanoparticles, plasmonic resonators and materials, self-assembled metamaterials, and opto-thermal coatings for energy applications. His work bridges fundamental physics with practical applications in building technologies, solar energy, and next-generation computing architectures. His recent publications demonstrate a strong trend toward neuromorphic and brain-inspired computing systems, particularly exploring the computational capabilities of self-assembled nanoscale networks. These works investigate how the intrinsic physical properties of nanomaterials can be harnessed for energy-efficient information processing, with applications in random number generation, Boolean operations, and image classification. His research also maintains a strong focus on practical optical applications, including high-temperature polarizers and spectrally selective solar absorbers. AIP NSW Branch Service Award (2024) UTS MAPS: Individual Teaching Award (2023) STANSW Dedicated Service Award (2019) Arnold is deeply committed to mentoring the next generation of scientists, having successfully guided research students at all levels from internship to PhD. His teaching philosophy emphasizes engaging students in experiences that develop practical skills and deep insight, which has been recognized with teaching awards. He has secured significant research funding through ARC Linkage Infrastructure grants and numerous industry collaborations, particularly with building industry partners on glazing and facade performance. His current funded projects include advanced deposition systems for superconducting circuits and solar-thermal performance evaluations. Arnold leads research activities centered around experimental and computational investigations of nanoscale systems, with particular expertise in physical vapor deposition, optical characterization techniques, and computational modeling of complex electromagnetic systems. His work connects fundamental physics with real-world applications through strong industry partnerships and interdisciplinary collaborations across physics, materials science, and engineering disciplines.

Gabriela NicolescuView profile

Professor

• Cybersecurity for Avionics
• Security by Design for Cyber-Physical Systems
• Advanced Programming Models for Avionic Multi and Many-Core Systems
• +11 more

Gabriela Nicolescu is a Professor at Polytechnique Montréal , affiliated with the Department of Computer Engineering and Software Engineering and the LAMA-WeST (Web, Semantics and Text) research group. Her work focuses on design methodologies , programming , and security for advanced systems integrating 3D SoCs , optical networks , and heterogeneous technologies . Education: B.Sc. and M.Sc., Politehnica Bucharest Ph.D., Institut National Polytechnique de Grenoble (2002), awarded Best Thesis in Microelectronics Research Interests include cybersecurity for avionics , security by design for cyber-physical systems , advanced programming models for multi-core systems , and modeling/simulation of heterogeneous systems . She has contributed to fields like optical networks on chip , real-time embedded systems , and edge computing security . Recent Publications highlight her leadership in all-optical neural networks , formal verification , and security for avionic systems . Her work spans machine learning-driven intrusion detection , photonic integrated circuits , and ontology-based cybersecurity frameworks . Scientific Awards: Best Thesis in Microelectronics, Institut National Polytechnique de Grenoble (2002) Student Supervision encompasses doctoral and master’s theses in areas such as multi-core RTOS , security in autonomous systems , AI-based penetration testing , and performance optimization in avionics . Current advisees include Felipe Magalhaes , Julien Carayol , and Kacem Khaled , while completed supervision includes A. S. Shahnejat Bushehri and Rami Zrelli . She is actively involved in collaborative research projects addressing national cybersecurity priorities and safer aircraft design , as highlighted in media outlets like The Globe and Mail and Science-Presse .

Arne LauchtView profile

Associate Professor

• Quantum Engineering
• Quantum Computing
• Spin Quantum Computing
• +8 more

Arne Laucht is a Scientia Associate Professor for Quantum Engineering at the University of New South Wales (UNSW) in the School of Electrical Engineering & Telecommunication. He is also the Program Manager at the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). His research focuses on quantum computing, spin-based qubits in silicon, donor atoms, SiMOS quantum dots, and color centers in diamond/silicon carbide. Education: PhD (summa cum laude) in Quantum Optics from Technical University of Munich (2010), supervised by Prof Jonathan Finley. Research Interests: Quantum engineering, spin qubits in silicon, nanoscale device engineering, diamond vacancy centers, and quantum photonics. He explores ultra-long coherence times, quantum gate operations, and scalable qubit architectures. Publications Trends: Recent work emphasizes silicon-based spin qubits, quantum dot arrays, global field control, and room-temperature solid-state devices. Key topics include entanglement, Bell inequality violations, and fault-tolerant protocols. Labs & Collaborations: Leads the Ultra-Low Temperature Optics (ULTO) Lab, enabling cryogenic optical measurements. Collaborates with groups at UNSW, Macquarie University, and the University of Melbourne on diamond color centers and quantum materials.

Chen ZhuView profile

Academic

• Fiber Optic Sensors
• Microwave Photonics
• Microwave Sensors
• +3 more

Dr. Chen Zhu is an Associate Research Professor in the Electrical and Computer Engineering department at Missouri University of Science and Technology. He holds a B.E. in Optoelectronics Information Engineering from Huazhong University of Science and Technology (2015) and a Ph.D. in Electrical Engineering from Missouri S&T (2021). His research focuses on fiber optic and microwave sensors for harsh environments, particularly in sensing applications such as displacement, humidity, and strain measurement. Dr. Zhu has been recognized with prestigious awards including the IEEE Instrumentation and Measurement Society Graduate Fellowship (2018–2019) and the IEEE St. Louis Section Outstanding Graduate Student Award (2020). His work integrates microwave photonics, machine learning, and advanced interferometric techniques to develop high-sensitivity sensors. Key research areas include Vernier-effect-based optical fiber sensors, microwave resonators, and distributed sensing systems. Recent advancements include respiratory rate monitoring via all-fiber strain sensors and quasi-distributed acoustic sensing using optical path difference demodulation. Publications span topics like fiber Bragg gratings, Fabry-Perot interferometers, and sensor demodulation algorithms. His research emphasizes practical applications in biomedical monitoring, structural health, and industrial environments. Collaborations involve interdisciplinary approaches combining material science, signal processing, and sensor miniaturization.