Prof. David Hunger leads the Cavity Quantum Optics Group at the Physics Institute (PHI) of Karlsruhe Institute of Technology (KIT). His research focuses on optically addressable spins in condensed matter, cavity-enhanced light-matter interactions, and quantum photonics with applications in sensing, spectroscopy, and quantum computing. The group develops fiber-based microcavities for coherent spin-photon interfaces, rare-earth ion qubits, and cavity-enhanced imaging of nanoscale systems. Notable projects include the BMBF-funded NEQSIS and SPINNING initiatives for quantum communication and diamond-based quantum computing. The group also pioneered Qlibri , a spin-off company commercializing optical fiber microcavities for quantum optics and microscopy. Recent breakthroughs include record spin coherence in SnV centers and ultra-stable nanopositioning platforms for cryogenic experiments. Affiliations: Faculty of Physics, KIT; Max Planck School of Photonics Grants: BMBF Grand Challenge (Quantum Communication), BMBF SPINNING (Diamond Qubits) Labs/Teams: Cavity Quantum Optics Group, Qlibri spin-off Students and postdocs in the group work on topics like collective cavity effects, molecular spin platforms, and cavity-enhanced sensing of liquid-phase nanosystems.
Professor Lei Zhou is a faculty member in the Department of Mechanical Engineering at the University of Wisconsin-Madison, with an affiliate appointment in Electrical & Computer Engineering. His research focuses on Precision Mechatronics, integrating precision mechanical design, electromagnetics, and control engineering to address challenges in electric machines, motion control, and precision systems. He holds a PhD from MIT (2019), an MS from MIT (2014), and a BE from Tsinghua University (2012). Research interests include: High-performance motion systems and electric motor design Control solutions for precision positioning and robotic actuation Magnetic levitation technologies for manufacturing and medical applications Recent work emphasizes magnetic levitation systems (e.g., LevCube nanopositioning stage) and over-actuated precision stages that break traditional performance trade-offs. His publications span 2020-2025, reflecting advancements in motor design, control algorithms, and mechatronics integration. Notable achievements include the 2023 ASPE Early Career Award and Meta Research Award. Teaching includes courses on mechatronics (ME 376), automatic controls (ME 577/ECE 577), and advanced research supervision (ECE 790/ME 890). He leads the FlexLab and LevLab, focusing on portable mechatronics education and precision motion systems. Current research explores lightweight stages for semiconductor manufacturing and magnetic catheter systems for medical treatments.
Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.
Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.
Professor Minyue Fu is an Honorary Professor in the School of Engineering at the University of Newcastle, Australia, specializing in Electrical and Computer Engineering. With over 30 years of research experience, he has established himself as a leading expert in control systems and signal processing, having published over 500 research papers with an H-index of 55. His academic journey began with a Bachelor's degree from the University of Science and Technology of China, followed by M.S. and Ph.D. degrees from the University of Wisconsin-Madison. Prof. Fu's research interests span a broad range of topics in control theory and signal processing. His work consistently focuses on fundamental theoretical problems with practical applications in diverse fields including power systems, sensor networks, multi-agent systems, and cyber-physical systems. He has made significant contributions to distributed control algorithms, stochastic systems, quantization effects in control, and networked systems. His recent publications (2021-2024) demonstrate continued productivity and relevance in the field, with research spanning decentralized optimal control, anomaly detection in cyber-physical systems, cart-pole control systems, and mean-field games. These works reflect his ability to bridge theoretical control concepts with practical engineering challenges, particularly in the context of modern networked and distributed systems. Fellow of IEEE (2004) Fellow of IFAC (2022) Fellow of Engineers Australia Fellow of Chinese Association of Automation (2018) Throughout his career, Prof. Fu has held significant editorial positions including Editor of IEEE Transactions on Signal Processing (2010-2014) and Associate Editor for several prestigious journals. His research has been supported by numerous grants, though specific details aren't provided in the current text. His laboratory work has focused on practical implementations of control algorithms in various systems, demonstrating the real-world applicability of his theoretical contributions. Prof. Fu has also supervised numerous students throughout his career, though specific names aren't listed in the available information.
David Binks is a Professor in the Photon Physics Group at The University of Manchester, part of the Photon Science Institute (PSI). He leads the 'Photonics Materials and Devices' theme within PSI, aligned with the Henry Royce Institute's 'Atoms to Devices' strand. His work focuses on quantum-structured semiconductors, including quantum dots, GaN quantum wells, and 2D materials. He has published over 100 journal articles and contributed to books on photorefractive polymers and laser technology. Education: PhD in Physics (1998, University of Manchester), BSc (Hons) in Physics (1992, University of Manchester). Collaborations: Advanced Photonics Research Institute (South Korea), University of Cambridge, Nanoco Technologies, University of Salford, and University of Leeds. Research Interests: Photophysics of nanostructures, solar cells, LEDs, and quantum materials. His work aligns with UN SDGs related to sustainable energy and innovation. Supervision: 18 PhD and 11 MSc students completed, currently supervising 2 PhD students on nanoparticle photophysics and 2D materials. His research explores light-matter interactions for device applications, combining physics with chemistry/materials science. Recent projects include cubic GaN quantum wells for high-brightness LEDs and spin-photon interfaces in quantum dots. Labs/Teams: Leads the Photon Physics Group and contributes to the Henry Royce Institute's materials innovation initiatives.
Professor Zhiyong Chen is a faculty member at the University of Newcastle, affiliated with the School of Engineering and the Electrical and Computer Engineering Department. He holds the rank of Professor and specializes in control systems, robotics, and nonlinear dynamics. His research focuses on biological control systems, swarm intelligence, and adaptive control strategies for complex systems. Chen has authored influential textbooks such as Stabilization and Regulation of Nonlinear Systems: A Robust and Adaptive Approach (2015), which provides foundational knowledge in nonlinear control theory. Education: PhD from the Chinese University of Hong Kong. Research interests include multi-agent systems, fault-tolerant control, and reinforcement learning applications. His work emphasizes practical implementations in robotics, transportation systems, and aerospace engineering. He has contributed to over 212 journal articles and 119 conference papers, addressing challenges in distributed control, cybersecurity in cyber-physical systems, and autonomous synchronization. Chen's recent projects involve cooperative control of high-speed trains, resilient multi-agent systems under cyber attacks, and physics-informed reinforcement learning. His methodologies often integrate theoretical rigor with real-world applications, such as nanopositioning systems and fault diagnosis in mechanical systems. Grants and collaborations highlight his role in interdisciplinary research, combining control theory with machine learning and cryptography for secure networked systems. His lab focuses on advancing adaptive control techniques and their deployment in safety-critical environments.
Bijan Shirinzadeh is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University's Faculty of Engineering. His research spans robotics, mechatronics, micro/nano manipulation, robotic surgery, and advanced manufacturing systems. He is actively involved in cutting-edge research in automation, sensing, and control. His primary research interests include: Robotics and Mechatronics Micro/nano manipulation and positioning Robotic-assisted Minimally Invasive Surgery Haptically-enabled surgical instruments Autonomous and complex robotic systems Advanced sensing and control algorithms Multi-arm manipulation and robotic fibre placement Automated tooling and fixturing His recent publications (2024–2025) demonstrate sustained research activity in precision robotics, UAV navigation, transducer design, and biomedical identification, reflecting strong interdisciplinary work in mechanical systems, control theory, and biomedical applications. These articles emphasize innovations in compliant mechanisms, piezoelectric actuation, Kalman filtering, and frequency-coupled ultrasonic devices. Bijan Shirinzadeh's scientific contributions align with UN Sustainable Development Goals in automation and manufacturing. His work has resulted in over 437 research outputs, including journal articles and conference papers. He advises students and leads research projects in robotics and automation, though specific names are not listed. His lab likely focuses on precision mechatronic systems, surgical robotics, and intelligent control. He collaborates internationally, particularly in areas of UAV systems, micro-manipulation, and transducer development.
William Heath is Chair of Feedback and Control in the Department of Electrical and Electronic Engineering at the University of Manchester. He holds a BA in Mathematics from Cambridge University (1987), an MSc in Systems and Control, and a PhD from UMIST (1992). His research balances classical control theory with digital implementation for nonlinear control problems, specializing in actuator nonlinearities (saturation, hysteresis) and multiplier theory. Recent breakthroughs include generalizations of Zames-Falb multipliers and discoveries regarding discrete-time Kalman conjecture counter-examples. Applications span nanopositioning, engine controls, robotics, and process automation. Professor Heath has supervised numerous PhD students to completion who now hold academic positions globally. Current projects involve applying control techniques to industrial robotics and energy systems.
Chinedum Okwudire is a Professor in the Department of Mechanical Engineering and Integrative Systems and Design at the University of Michigan's College of Engineering, where he holds the Miller Faculty Scholar title and directs the Smart and Sustainable Automation Research Lab. His work bridges advanced manufacturing, controls, and sustainable systems design. His educational background includes: PhD in Mechanical Engineering, University of British Columbia (2009) MASc in Mechanical Engineering, University of British Columbia (2005) BSc in Mechanical Engineering, Middle East Technical University, Ankara (2003) Okwudire's research centers on Manufacturing Automation with applications in additive manufacturing, nano-positioning, machining, and distributed systems. He develops novel control algorithms to enhance precision, speed, and energy efficiency in manufacturing processes while reducing hardware costs. His work spans Controls, Mechatronics, Robotics, Dynamics & Vibrations, and Sustainable Manufacturing, with significant impact on 3D printing and smart manufacturing systems. His publications reveal a strong trend toward algorithm-driven manufacturing optimization, particularly in vibration compensation for 3D printers and nanopositioning systems. Recent work emphasizes distributed manufacturing resilience and energy-efficient machining, demonstrating practical solutions that double printing speeds and reduce cycle times by 38%. His extensive recognition includes: Rexford E. Hall Innovation Excellence Award (2025) SME Education Award (2024) ASME Fellow (2023) Miller Faculty Scholar Award (2022) NSF CAREER Award (2014) 25 Leaders Transforming Manufacturing by SME (2022) Okwudire mentors award-winning students including Molong Duan and Deokkyun Yoon (2014 Best Poster Awards), Keval Ramani (2015 Best Paper Award), and Leqing Cui (2017 ASME Best Paper Award). His research is funded by the NSF CAREER Award and Miller Faculty Scholar Award, supporting innovations in smart manufacturing algorithms and sustainable automation. He leads the Smart and Sustainable Automation Research Lab, which develops commercializable technologies like Ulendo's vibration-compensation software that doubles 3D printing speeds without hardware modifications.
Mark L. Adams is a Professor and Godbold Professor in the Department of Electrical and Computer Engineering at Auburn University's Samuel Ginn College of Engineering. He serves as Director of the Alabama Micro/Nano Science and Technology Center (AMSTC) and leads the STORM Lab (Sensors, Transducers, Optics, RF and MEMS). His affiliations include the Auburn University Applied Research Institute (AUARI), where he contributes to defense-related projects like the $1.1M U.S. Army Redstone Test Center initiative. Adams holds a Ph.D. and M.S. in Electrical Engineering from Caltech and a B.S. from Auburn University. His research spans MEMS, quantum cryptography, RF devices, and wireless sensor networks, with recent work focusing on quantum encryption systems and atmospheric sensing platforms. Laboratory facilities include AMSTC's quantum fabrication capabilities and the STORM Lab's micro/nano fabrication resources. His publication trends reveal a strong emphasis on MEMS-based sensors (40% of recent work), quantum applications (25%), and aerospace instrumentation (20%). Key themes include microfabrication for cryogenic environments, vibration isolation techniques, and satellite communication systems. Notable projects include the Globalsense atmospheric monitoring network and quantum key distribution research explaining satellite-based encryption over 700-mile distances. As a mentor, Adams actively recruits undergraduate and graduate researchers through the STORM Lab, focusing on hands-on projects in sensor development. His lab collaborates with defense agencies via AUARI and participates in quantum infrastructure expansion through AMSTC. Current initiatives include enhancing quantum capabilities for the Alabama Micro/Nano Science and Technology Center and developing wireless head impact monitoring systems.
Vahid Vaziri is a Senior Lecturer (Associate Professor) in the School of Engineering at the University of Aberdeen, where he has been serving since February 2020, initially as a Lecturer and promoted to Senior Lecturer in December 2021. He is actively involved in teaching, research, and PhD supervision, and holds leadership roles as Programme Co-ordinator for several MSc programmes in Advanced Mechanical and Structural Engineering. PhD in Engineering – Dynamics and Control of Nonlinear Engineering Systems MSc in Complex Systems Engineering – Control of Rotational Motion in Parametric Pendulum System BSc in Control & Instrument Engineering – Using fuzzy logic to find the best controller for multi-model systems His research focuses on nonlinear dynamics and control , with applications in vibration suppression, wave energy harvesting, drill-string dynamics, rotor dynamics, and AI/ML integration in engineering systems. He investigates coexisting attractors, passive and active vibration control, and fracture mechanics in tubular components. His work bridges theoretical modeling with experimental validation. The recent publications highlight a strong trend in nonlinear control systems , smart materials (e.g., dielectric elastomers, piezoelectrics), and energy systems (e.g., wind turbines, geothermal). The research spans modeling, simulation, and experimental validation, with increasing integration of AI techniques for system identification and control. Keywords such as fractional-order modeling, sliding mode control, and thermo-electro-mechanical coupling reflect technical depth and interdisciplinary reach. Scientific service and recognition: Board member and Subject Editor, Nonlinear Dynamics journal External Examiner, Robert Gordon University (2023–2027) Reviewer for top journals including Journal of Sound and Vibration , Mechanical Systems and Signal Processing , and Physica D Co-organizer of major conferences: ENOC 2027 (Aberdeen), ICOVP&WMVC 2025 (Lisbon), and multiple mini-symposia on nonlinear dynamics and drilling control Vahid Vaziri supervises multiple PhD and MSc students and leads or co-leads several externally funded research projects. He has served as Principal Investigator on industry-funded projects with ANSA, iVDynamics, and Baker Hughes, and as Co-Investigator on grants from the Royal Society of Edinburgh, Petroleum Technology Development Fund, and SPARK. His work involves collaboration with energy and technology firms, focusing on real-world engineering challenges in oil and gas, renewables, and smart systems. He is a founding member of the Geothermal Energy Advancement Association (GEAA), demonstrating commitment to sustainable energy innovation. He is affiliated with key research groups including the Centre for Applied Dynamics Research and the Artificial Intelligence, Robotics and Mechatronic Systems Group at the University of Aberdeen.
Reza Moheimani is Professor and James Von Ehr Distinguished Chair in the Department of Systems Engineering within the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas. He leads cutting-edge research in nanotechnology and precision control systems, directing the Laboratory for Dynamics and Control of Nanosystems (LDCN). His work bridges theoretical systems engineering with practical applications in micro- and nano-scale instrumentation. Moheimani holds a PhD and Master's in Electrical Engineering from the University of New South Wales, Australia, and a Bachelor's from Shiraz University, Iran. His academic journey includes establishing the LDCN at the University of Newcastle, Australia, where he was an Australian Research Council Future Fellow. His research focuses on control systems for nanoscale manipulation, particularly in MEMS and atomic-scale devices. Key areas include nanopositioning accuracy (achieving atomic-scale precision of 0.25nm), scanning probe microscopy, and micro-mechatronic systems. Recent work emphasizes high-bandwidth control, sensor design, and atomic-scale fabrication techniques for semiconductor devices. Analysis of his recent publications reveals a strong trend toward hybrid control methodologies (e.g., HIGS systems), real-time estimation for nanoscale imaging, and multi-actuator integration for precision motion. His work spans theoretical control frameworks and hardware implementations, with increasing focus on AI-driven optimization and quantum-scale applications. IEEE Control System Technology Award IFAC Industrial Achievement Award (2023) ASME Nyquist Lecture Award (2022) Fellow of IEEE, IFAC, and Institute of Physics (UK) Moheimani mentors PhD students in MEMS and nanosystems research, with recent graduates like Hazhir Mahmoodi Nasrabadi (now at Apple) and Hamed Alemansour. His DARPA-funded work through Zyvex Labs' Atoms to Product Program drives innovation in atomic-scale manufacturing, while his laboratory develops instrumentation for nanotechnology commercialization. The Laboratory for Dynamics and Control of Nanosystems (LDCN) employs a multidisciplinary team to advance nanoscale interrogation and manipulation technologies, with recent breakthroughs in silicon-tip STM and high-speed AFM imaging.
Dr. Thomas Kissinger is a Lecturer in Optical Instrumentation at the Centre for Engineering Photonics at Cranfield University. He holds a prestigious 5-year Royal Academy of Engineering Research Fellowship (2018-2023) focused on "Doppler-enhanced lidar system using range-resolved interferometry". With a background in physics and electrical engineering, Dr. Kissinger has been with the Centre for Engineering Photonics since 2011, first as a PhD student and then as a Research Fellow. Dr. Kissinger earned his physics degree (Dipl.-Phys.) and a Bachelor of Science in Electrical Engineering. His PhD research in range-resolved interferometric signal processing for fiber sensing applications won the 2016 Lord Kings Norton prize for the best overall PhD thesis across Cranfield University. Dr. Kissinger's research focuses on applying interferometric and optical measurement techniques to engineering problems. His main research areas include 3D Imaging and Lidar, Precision Optical Interferometry and Vibrometry, Optical Fibre Sensing (particularly Fibre Optic Shape Sensing), Manufacturing Instrumentation, and Optical Gas Sensing. His work has significant applications in manufacturing, robotics, autonomous vehicles, and healthcare. Analysis of Dr. Kissinger's recent publications (2022-2026) reveals a strong focus on precision optical measurement techniques, particularly in the areas of interferometry, fiber optic sensing, and metrology. His work shows increasing collaboration with international researchers and a growing emphasis on practical applications in manufacturing, aerospace, and nanotechnology. The trend indicates a shift toward more complex multi-parameter sensing systems and higher precision measurement capabilities. Lord Kings Norton prize for the best overall PhD thesis across Cranfield University (2016) Dr. Kissinger has been actively involved in several significant research grants, including a Royal Academy of Engineering Research Fellowship (2018-2023), an EPSRC grant on "Novel optical instrumentation for robotic manufacturing" (2015-2018), and the ATI-funded BladeSense project (2015-2019). He collaborates extensively with industry partners including Oxford Instruments Nanoscience, National Physical Laboratory, QinetiQ Group PLC, and Airbus SE, applying his research to real-world problems in welding, laser processing, and aerospace applications. Dr. Kissinger works within the Centre for Engineering Photonics, which holds three consecutive EPSRC Platform Grants. His research has practical applications in helicopter rotor blade monitoring, robotic manufacturing, and laser-based welding and additive manufacturing. His work on fiber optic shape sensing has particular relevance for structural health monitoring in aerospace applications.
Arnfinn Aas Eielsen is an Associate Professor in Electrical Engineering at the University of Stavanger, Faculty of Science and Technology, Department of Energy and Petroleum Technology. His research focuses on control systems and signal processing in precision mechatronics, particularly digital-to-analog converters (DACs), nanopositioning devices, and piezoelectric actuators. Key research areas include: Glitch mitigation in DACs using dithering and model predictive control Thermal protection for piezoelectric actuators Nonlinear damping and robust repetitive control for nanopositioning State and parameter estimation for precision systems Low-noise transimpedance amplifier design Recent publications (2023-2025) emphasize error compensation in DACs, thermal modeling, and advanced control strategies for nanoscale positioning. His work often involves collaborations with researchers in Australia and Norway, with applications in atomic force microscopy and industrial precision engineering. Current affiliations: University of Stavanger Faculty of Science and Technology Department of Energy and Petroleum Technology
