جست‌وجوی استاد و پژوهشگر

Michalis Zervasمشاهده پروفایل

استاد

• Optical Communications
• Photonics
• Fibre Lasers
• +۳ مورد دیگر

Professor Michalis Zervas serves as Professor of Optical Communications at the University of Southampton's Optoelectronics Research Centre (ORC), leading pioneering research in photonics and laser technologies. His work integrates advanced optical systems with artificial intelligence to solve complex challenges in telecommunications, manufacturing, and medical diagnostics through major collaborations with industry and international research bodies. His primary research spans Optical Communications, Photonics, and Fibre Lasers, with specialized focus on deep learning applications for laser control optimization, coherent beam combination, and optical fibre sensor development. Current investigations include high-power photonics systems for industrial manufacturing and novel laser-based biomedical diagnostic platforms that bridge physics with healthcare innovation. Recent publications (2025) reveal a decisive trend toward AI-photonic integration, where deep learning algorithms enhance precision in laser-material interactions across diverse applications—from microbead cleaning and paint analysis to psoriasis treatment simulation and diatom imaging. This interdisciplinary approach demonstrates consistent methodological innovation in merging computational intelligence with fundamental laser physics. Supervises 6 PhD students including Rosemary Catriona Clark and Fedor Chernikov in ORC's photonics programs Secures major funding from EPSRC (Smart Fibre-Optic High Power Photonics, Hearing Light) and US Air Force Office of Scientific Research Leads collaborative projects with Professor Sir David Payne and Professor Johan Nilsson across national manufacturing hubs As co-leader of the Smart Lasers and Special Fibres research group within the Advanced Laser Laboratory, Zervas drives experimental photonics innovation through state-of-the-art fibre laser systems and optical resonator technologies. His team maintains strategic partnerships with global industry leaders in photonics manufacturing and medical device development.

• Nanoplasmonics
• Nano-optics
• Biochips
• +۷ مورد دیگر

Li Yi is a Tenured Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) , with expertise in nanoplasmonics, nano-optics, and biochips. His career spans institutions including KU Leuven, Imperial College London, and Ludwig-Maximilians-Universität München. Education: Ph.D. (2015, KU Leuven & IMEC), M.S. (2010) and B.S. (2007) in Biomedical Engineering from Zhejiang University. Career: Associate Professor (2021–present) and Assistant Professor (2019–2020) at SUSTech; LMU Research Fellow (2018–2019); Research Associate (2015–2018) at Imperial College London. Research Interests focus on single-molecule biochips, DNA data storage, and nanopore sequencing. His work bridges nanotechnology with biomedical applications, including: Integrated circuit-compatible optical/electrical devices Computational lithography and nanoscale imaging Neural network training for biosensing Publications include >60 peer-reviewed articles with 25 H-index. His recent work emphasizes DNA-based data encryption, nanopore engineering, and portable biosensing systems. Key journals: Nature Communications, Nano Letters, ACS Nano. Scientific Awards : LMU Research Fellowship (Marie Curie COFUND) imec Excellent Scientific Award Shenzhen 'Peacock Plan' Category B Talent Outstanding Poster Award at Surface Plasmon Photonics 2017 Participation in Lindau Nobel Laureates Meeting (2019) Grants include Ministry of Science and Technology Key R&D Youth Program, NSFC General Program, and Guangdong Provincial Key Program. His lab develops: Fluidic nanopores for single-molecule sensing Optical antennas for enhanced detection Training programs in biochip design and nano-optics

Xudong Fanمشاهده پروفایل

استاد

• Microfluidics
• Biosensors
• Optofluidics
• +۵ مورد دیگر

Xudong Fan is a Professor at the University of Michigan specializing in advanced analytical and diagnostic technologies. His work bridges engineering, chemistry, and clinical medicine through innovative device development. His research focuses on: Miniaturized gas chromatography systems for portable chemical analysis and planetary science missions Optofluidic immunoassays using biolasers for ultrasensitive, label-free biomarker detection Machine learning integration for chromatographic data analysis and biosensor accuracy enhancement Breath-based diagnostics for cancer, infectious diseases, and respiratory conditions Microfluidic platforms requiring minimal sample volumes (e.g., 1μL fingertip blood) Professor Fan's 2025 publications reveal a strong emphasis on device miniaturization, automation, and multimodal sensing. Key trends include the convergence of micro-GC with photoionization detectors for field-deployable chemical analysis, deep learning solutions for chromatographic co-elution challenges, and biolaser-based platforms enabling antigen-independent cancer cell detection. These efforts target affordable point-of-care diagnostics with applications in tuberculosis monitoring, COVID-19 immunity assessment, and early lung cancer screening through breath analysis. His work demonstrates significant translational impact, particularly in resource-limited settings where cost, portability, and minimal sample requirements are critical. Current projects show strong alignment with NASA planetary science objectives through micro-GC development for extraterrestrial organic analysis.

Mohamad Awadaمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Sustainable Infrastructure
• +۵ مورد دیگر

Mohamad Awada is an Assistant Professor in the Department of Civil and Urban Engineering at New York University (NYU Tandon School of Engineering) . His research focuses on integrating sensing systems , immersive technologies , and artificial intelligence to enhance human livability in built environments. Education Ph.D. in Civil Engineering, University of Southern California (USC), 2024 M.Sc. in Computer Science, University of Southern California (USC), 2021 M.Sc. in Civil Engineering (Construction Engineering and Management), American University of Beirut, 2018 B.S. in Civil and Environmental Engineering, American University of Beirut, 2016 His work spans machine learning , data science , and human-building interaction , with applications in sustainable infrastructure and smart cities . Recent research trends emphasize occupant health , stress detection , and AI-driven environmental optimization in office and residential settings. Scientific Awards : University of Southern California PhD Achievement Award – 2024 Sonny Astani CEE Outstanding Department Service Award - 2023 Sonny Astani CEE Outstanding Research Assistant Award - 2022 Awada leads the Smart Innovations in Built Environment Research (SiBER) Lab , where he explores automation, control systems, and AI applications to create healthier, energy-efficient infrastructure. He actively seeks Ph.D. candidates with coding and ML/data science experience for Fall 2025.

Blake N. Johnsonمشاهده پروفایل

استاد

• Smart Manufacturing
• Smart Biomanufacturing
• Biosensors and Bioelectronics
• +۵ مورد دیگر

Blake N. Johnson is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. He holds a B.S. (2008) from the University of Wisconsin-Madison, a Ph.D. (2013) in Chemical Engineering from Drexel University, and completed a postdoc at Princeton University (2013-2015). His research focuses on smart manufacturing, biosensing, and autonomous materials science, with notable contributions in 3D bioprinting and theory-guided machine learning for biosensor optimization. He has received prestigious awards including the NSF CAREER Award (2022) and SME Outstanding Young Manufacturing Engineer Award (2020). Key professional roles include: Professor, Virginia Tech (2025–present) Associate Professor, Virginia Tech (2022–2025) Assistant Professor, Virginia Tech (2015–2022) Research interests span biosensors, biomanufacturing, and machine learning-driven material discovery. His lab develops innovative solutions for medical diagnostics, tissue regeneration, and sustainable materials. He teaches courses such as ISE 5984 (Additive Manufacturing) and ISE 2204 (Manufacturing Processes). Notable achievements include pioneering work on 3D-printed anatomical nerve regeneration pathways and developing high-throughput platforms for hydrogel characterization. Media highlights include coverage of his NSF CAREER Award and breakthroughs in biosensor reliability.

Peter B. Lillehojمشاهده پروفایل

دانشیار

• Microfluidics
• BioMEMS
• Medical Diagnostics
• +۷ مورد دیگر

Peter B. Lillehoj is an Associate Professor in the Department of Mechanical Engineering at Rice University, holding the Shankle Chair. He is affiliated with the School of Engineering and the Institute for Biosciences and Bioengineering. His research focuses on developing microfluidic and BioMEMS technologies for medical diagnostics, environmental monitoring, and global health, with a particular emphasis on wearable biosensors and point-of-care devices. Dr. Lillehoj earned a B.S. in Mechanical Engineering from Johns Hopkins University (2006) and M.S./Ph.D. in Mechanical Engineering from UCLA (2008/2011). Before joining Rice in 2020, he was a faculty member at Michigan State University (2012–2019). His honors include the NSF CAREER Award (2014), IEEE New Innovator in NANOMED Award (2019), and Wellcome Trust Innovator Award (2019). He has secured grants from the Bill & Melinda Gates Foundation and the National Science Foundation. His research spans interdisciplinary areas such as microfluidic cytometry , wearable diagnostics , and CRISPR-based sensing . Recent advancements include AI-enabled microfluidic devices, microneedle-based sampling systems, and magneto-immunoassays for Chagas disease. His lab’s innovations aim to create low-cost, user-friendly diagnostic tools for global health challenges. Awards: NSF CAREER, IEEE New Innovator, Wellcome Trust Innovator Grants: Bill & Melinda Gates Foundation, NSF Labs/Teams: Lillehoj Research Group (Rice) and collaborations with bioengineering teams Dr. Lillehoj’s work bridges mechanical engineering with biomedical applications, emphasizing practical solutions for healthcare accessibility and environmental monitoring. His publications focus on translating lab-based technologies into scalable point-of-care systems.

Sharon M Weissمشاهده پروفایل

استاد

• Photonics
• Nanotechnology
• Silicon Photonics
• +۳ مورد دیگر

Sharon M Weiss is the Cornelius Vanderbilt Professor of Engineering and holds joint appointments in Electrical Engineering, Materials Science & Engineering, and Physics at Vanderbilt University's School of Engineering. She directs the Vanderbilt Institute of Nanoscale Science and Engineering. Her research focuses on light-matter interaction, silicon photonics, porous silicon biosensors, and nanotechnology. She earned a B.S., M.S., and Ph.D. in Optics from the University of Rochester. Her work spans advanced photonic crystal designs, ultra-sensitive biosensors, and radiation-tolerant optical components for aerospace applications. Recent projects include photonic metacrystals for high-Q cavities and porous silicon sensors for rapid diagnostics. She has pioneered integration of phase-change materials like VO₂ in silicon photonics for ultrafast optical switching. Publications emphasize subwavelength photonics, biosensing innovations, and space-qualified optoelectronics. Her lab develops hybrid waveguides, nanobeam cavities, and AI-enhanced sensing systems. Collaborations include NASA and industry partners for biomedical and defense applications.

• Flexible and Stretchable Electronics
• Wearable Biosensors
• Antennas
• +۴ مورد دیگر

Dr. Shanmuga Sundar Dhanabalan is an Adjunct Senior Fellow in the School of Engineering at RMIT University, specializing in flexible/stretchable electronics, wearable biosensors, and photonics. His research focuses on smart medical devices like Smart Mattresses for aged care and Smart Eye Patches for chronic eye disease management. He collaborates extensively with industry and holds roles in research supervision and curriculum development. **Affiliations**: Functional Materials and Microsystems Research Group, RMIT University (Melbourne, Australia). **Research Interests**: Wearable sensors, optical communications, photonics, antennas, and sustainable nanomaterials. His work bridges materials science with healthcare technologies, emphasizing practical industry applications. **Awards**: Fondecyt Postdoctoral Fellowship (2018), TEQIP Doctoral Scholarship (2013), and fellowships with the Optical Society of India and Computer Science Teacher Association. **Supervision & Grants**: Active in mentoring postgraduate research projects (e.g., smart sensors, bioelectronic devices). His publications span over 60 peer-reviewed articles in journals like Optical and Quantum Electronics and Renewable and Sustainable Energy Reviews . **Labs/Teams**: Engaged in cross-disciplinary teams developing wearable health monitoring technologies and sustainable materials for electronics.

Alison Rodgerمشاهده پروفایل

استاد

• Biophysical Chemistry
• Physical Chemistry
• Analytical Science
• +۳ مورد دیگر

Prof Alison Rodger is a Professor in the Research School of Chemistry at The Australian National University, where she leads research in biophysical spectroscopy. Formerly at Macquarie University (2017–2024) and the University of Warwick (1990s–2017), she specializes in developing advanced spectroscopic techniques for biomacromolecule analysis. Her work integrates circular dichroism, linear dichroism, and Raman methods to study nucleic acids, proteins, and membrane systems. She co-directs the ARC-funded Industrial Transformation Training Centre in Facilitated Advancement of Australia’s Bioactives (FAAB) and runs an open-access biophysical spectroscopy lab. Key awards include Fellowships from the Australian Academy of Science (2021) and Royal Society of Chemistry (2000), and recognition in the Analytical Science Power List (2015). Education: BSc, PhD, DSc (Sydney University) MA (Oxford) DSc (Warwick) BA (Chester) Research Interests: Development of polarized-light spectroscopies for biomacromolecule analysis, including electronic/circular dichroism, Raman spectroscopy, and hybrid techniques. Applications span protein-DNA interactions, membrane biophysics, and biopharmaceutical characterization. She invented five spectroscopic techniques, including micro-volume Couette flow linear dichroism and fluorescence-detected linear dichroism. Awards & Roles: Fellow of the Australian Academy of Science Fellow of the Royal Society of Chemistry Emeritus Professor (University of Warwick) Recipient of Science Teachers of NSW Dedicated Service Award Consultant to European Science Foundation CASPER project Advising & Grants: Supervises PhD students in interdisciplinary biophysical chemistry. Led the EPSRC-funded Molecular Organisation and Assembly in Cells DTC at Warwick. Currently co-directs the ARC FAAB Centre, focusing on bioactive product characterization. Labs & Collaborations: Operates an open-access biophysical spectroscopy lab supporting academic and commercial users. Collaborations span mathematics, medicine, and engineering, with projects on DNA knotting, antimicrobial peptides, and nanomaterials for biosensing.

Peter Bienstmanمشاهده پروفایل

استاد

• Photonics
• Neuromorphic computing
• Nanophotonics
• +۱۱ مورد دیگر

Peter Bienstman is a full professor at Ghent University, working in the Department of Information Technology (INTEC) where he has been since 1997. He is affiliated with the Photonics Research Group and also collaborates with imec. His research spans nanophotonics, neuromorphic computing, and biosensing applications. Bienstman received his electrical engineering degree from Ghent University in 1997 and completed his Ph.D. at the same institution in 2001. His doctoral work focused on "Rigorous and efficient modelling of wavelength scale photonic components." His research interests primarily revolve around nanophotonics and its applications, with specific focus areas including: Photonic Reservoir Computing for neuromorphic information processing Optical label-free biosensors based on ring resonators TE/TM biosensors for measuring conformational changes SiN biosensors operating in the visible spectrum Optical spiking neurons and neuromorphic architectures Nanophotonic information processing systems Analysis of his recent publications reveals a strong focus on advancing photonic reservoir computing for practical applications, particularly in communications signal processing and biomedical sensing. His work demonstrates how photonic systems can implement neuromorphic computing paradigms with energy efficiency advantages over traditional electronics. Recent trends show increasing integration of phase-change materials and exploration of quantum-inspired photonic computing approaches. Bienstman has received significant recognition for his work, most notably an ERC Starting Grant for the Naresco-project: "Novel paradigms for massively parallel nanophotonic information processing." This prestigious European grant supports his innovative research at the intersection of photonics and computing. As an advisor, Bienstman has supervised numerous doctoral students to completion and currently mentors a large research group with nine active PhD students and two postdoctoral researchers. His research is supported by multiple grants that enable the development of novel photonic computing architectures and biosensing platforms. The group's work bridges fundamental photonics research with practical applications in communications, healthcare, and computing. The Photonics Research Group at Ghent University, where Bienstman works, maintains state-of-the-art facilities for nanophotonic device design, fabrication, and characterization. The group collaborates extensively with imec and other international research institutions, creating a vibrant ecosystem for advancing photonic technologies from fundamental research to potential commercial applications.

• Quantum Optics
• Integrated Photonics
• Material Science
• +۳ مورد دیگر

Mirko Lobino is an Associate Professor at the University of Trento, affiliated with the Department of Industrial Engineering. His work bridges theoretical concepts and practical applications in quantum optics, photonics, and material science. Teaches Fisica 1 (PARI) and Fisica 2 Co-teaches Physics and Thermodynamics of Materials with Alberto Quaranta and Francesco Parrino Research interests focus on quantum information science, laser physics, and graphene-based materials for strain sensing. He develops programmable photonic circuits for quantum computing and investigates thermodynamic principles in material transformations. Recent publications highlight advancements in photon number detection, quantum system control, and squeezed light generation for quantum networks. His work involves collaborations with the Department of Mathematics and integrates ion traps, photonic waveguides, and machine learning for quantum technologies. He explores applications in wearable sensors, electrochemical biosensing, and high-temperature electronics.

Patrizia Saviمشاهده پروفایل

دانشیار

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +۳ مورد دیگر

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

Laura M. Lechugaمشاهده پروفایل

استاد

• Nanophotonics
• Biosensor Technology
• Lab-on-a-Chip Platforms
• +۳ مورد دیگر

Prof. Laura M. Lechuga is a Full Professor at the Spanish National Research Council (CSIC) and leads the Nanobiosensors and Bioanalytical Applications Group at the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Barcelona, Spain. Her research focuses on nanophotonic biosensors, lab-on-a-chip platforms, and their clinical and environmental applications. Key Research Areas: Nanoplasmonic biosensors, silicon nanophotonics, surface biofunctionalization, and point-of-care diagnostics. With over 200 publications, 8 patent families, and 300+ invited talks, she has co-founded two spin-off companies. Her work spans biomedical diagnostics for infections (e.g., SARS-CoV-2, H. pylori) and environmental monitoring, integrating advanced photonics into portable systems. Scientific Distinctions: Recipient of multiple unspecified awards for her contributions to biosensor technology. The ICN2 Nanobiosensors Group, under her leadership, develops technologies for real-time biomarker analysis, including applications in sepsis detection, therapeutic drug monitoring, and autoimmune disease diagnostics.

Alex Thompsonمشاهده پروفایل

مدرس

• Medical Robotics
• Image-Guided Intervention
• Clinical Diagnostics
• +۳ مورد دیگر

Alex Thompson is a Lecturer in the Department of Surgery and Cancer at Imperial College London, affiliated with the Hamlyn Centre. He specializes in Medical Robotics and Image-Guided Intervention, focusing on developing clinical diagnostic tools and wearable sensors for gastrointestinal and oncological applications. His teaching role includes leading the MRes in Medical Robotics and Image-Guided Intervention program, emphasizing hands-on laboratory research and interdisciplinary collaboration among students from diverse backgrounds. Research Interests: Dr. Thompson’s work spans medical robotics, spectroscopic techniques (e.g., Raman, fluorescence), and non-invasive diagnostic systems. Key areas include: Design of microgrippers and optothermal actuators for minimally invasive procedures Development of wearable sensors for gut function assessment in low-resource settings Application of AI-driven systems for gastrointestinal disease screening Quantification of hypoxia in tumors and its impact on cancer prognosis Publications: His recent work highlights trends in integrating AI with robotic systems, advancing fiber-optic spectroscopic tools for real-time diagnostics, and addressing global health challenges via portable sensors. Notable areas include label-free cell identification, breast cancer surgery guidance, and environmental enteropathy protocols in Zambia/Zimbabwe. Teaching & Mentorship: He supervises student projects, fostering independent research skills. His courses attract students from computer science, engineering, and medicine, creating a collaborative environment for innovation. Labs & Affiliations: Based in the Hamlyn Centre, he collaborates on projects blending robotics, photonics, and biomedical engineering to push frontiers in surgical and diagnostic technologies.

• Sensor Technology
• Environmental Monitoring
• IoT Systems
• +۳ مورد دیگر

Ada Fort is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. Her research focuses on advanced sensor systems, including environmental monitoring, biomedical instrumentation, and IoT applications. She holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1992) from the University of Florence. Key research areas include wearable sensors for air quality monitoring, magnetic detection of contaminants, and QCM-based biosensors. Her work integrates machine learning for signal processing and fault detection in industrial and environmental systems. Notable projects involve self-sufficient IoT nodes powered by solar energy and low-cost sensor networks for agriculture and healthcare. Publications highlight innovations in sensor design, data imputation for environmental monitoring, and entropy-based security systems. Her contributions span interdisciplinary fields, linking engineering principles with applications in healthcare, agriculture, and climate science.