Conor McArdle is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). His research focuses on telecommunications networks, datacentre architectures, and optical switching technologies, supported by EU and SFI grants. He has co-authored over 40 publications and co-supervised four PhD students and one MEng student in topics like high-speed optical networks and packet switching protocols. His teaching includes object-oriented programming, network modeling, and algorithms. Research Interests: Optical networking for data centers Energy-efficient network design Telecommunications security Network performance analysis Recent publications emphasize agile optical data center networks, reconfigurable architectures, and hybrid buffering systems. He collaborates with industry on network management and security aspects of mobile networks. Grants & Awards: Extensive EU/SFI-funded projects on network performance and energy efficiency. No specific awards listed. Teaching: Coordinates modules in Algorithms for Engineers (EE324), Network Analysis (EE517), and Programming (EE219).
Nicolas C. Pégard is an Assistant Professor at the University of North Carolina at Chapel Hill, jointly affiliated with the School of Medicine's Biomedical Engineering department and the Applied Physical Sciences program. He directs the Computational Biophotonics Laboratory, which develops advanced optical instrumentation for neuroscience and medical applications. His research integrates physics, engineering, and computer science to create novel optical tools for interrogating biological systems. Key interests include computational microscopy, holography, machine learning approaches to neural imaging, optogenetics, and high-speed optical systems for monitoring neural activity. The lab focuses on task-based optical systems rather than traditional imaging. Dr. Pégard's publications demonstrate a consistent focus on advancing optical techniques for neuroscience. Recent work (2023-2025) shows strong trends in developing holographic methods, compressive imaging techniques, and integrated systems for multimodal neural recording. His team frequently publishes on applications of deep learning to optical problems and creates open-source tools for the research community. Sloan Fellowship in Neurosciences (2023) Kavli Innovation Grant (2022) Beckman Young Investigator Award (2021) Burroughs Wellcome Career Award (2018) The lab actively trains PhD students in interdisciplinary research, with recent graduates including Dr. Hossein Eybposh. Current projects explore holographic optogenetics, voltage imaging, and integrated systems for behavioral neuroscience. The group maintains collaborations with Janelia Research Campus and receives funding from NSF, NIH, and private foundations for developing next-generation neurotechnology platforms.
Dalibor Sames is a Professor of Chemistry at Columbia University's Graduate School of Arts and Sciences, where he leads an interdisciplinary research program bridging organic chemistry, neuroscience, and therapeutics development. His laboratory is situated within the Department of Chemistry and maintains strong collaborative ties with the Departments of Psychiatry, Neurology, and Pharmacology at Columbia. Dr. Sames' research focuses on restorative neuroplasticity as a therapeutic paradigm, with particular emphasis on psychedelic and psychoactive compounds like ibogaine, mitragynine, and non-hallucinogenic analogs. His group combines molecular design , organic synthesis , and pharmacological validation to develop novel CNS therapeutics for addiction, PTSD, depression, and neurodegenerative disorders. Key methodological innovations include Fluorescent False Neurotransmitters (FFNs) for synaptic imaging and C-H bond functionalization techniques for complex molecule synthesis. Analysis of his publication record reveals three dominant research trajectories: (1) Mechanistic studies of psychedelic compounds and their derivatives, (2) Development of cell-type-specific brain imaging technologies, and (3) Fundamental advances in organic synthesis methodology. His work consistently demonstrates translational impact, with multiple discoveries advancing toward preclinical therapeutic development. The Sames laboratory maintains active collaborations with leading neuroscientists including David Sulzer (Columbia), Jonathan Javitch (Columbia), and Susruta Majumdar (Memorial Sloan Kettering). His research is supported by multiple NIH grants focused on neuroplasticity mechanisms and imaging technology development. The group has established innovative approaches combining machine learning behavioral analysis , human primary cell models , and in vivo synaptic imaging to bridge molecular mechanisms with therapeutic outcomes. Current laboratory efforts include developing receptor-specific imaging agents , mapping structural-activity relationships of iboga alkaloids, and creating voltage-sensitive dyes for circuit-level brain interrogation. The group's synthetic expertise enables rapid exploration of chemical space around bioactive natural products, accelerating the discovery of novel neurotherapeutics with improved safety profiles.
Amnon Yariv is the Martin and Eileen Summerfield Professor of Applied Physics and Electrical Engineering at the California Institute of Technology (Caltech). He has held academic positions at Caltech since 1964, progressing from Associate Professor to his current chair. His research focuses on optical communication, semiconductor lasers, and quantum optics, with notable contributions to hybrid Si/III-V devices, optical phase-lock systems, and slow light technologies. Education: B.S., M.S., and Ph.D. in Electrical Engineering from the University of California, Berkeley (1954–1958). Research Interests: Theoretical and technological foundations of optical communication. Development of new semiconductor laser architectures, including isolator-free hybrid lasers. Quantum noise control in lasers and coherent photonics. Slow light propagation in periodic waveguides and coupled resonator systems. Publications & Impact: Over 500 publications, spanning innovations in optoelectronics, photonic integration, and quantum optics. Recent work emphasizes high-coherence lasers and silicon photonics applications. Awards & Recognition: National Medal of Science (2016) IEEE Photonics Award (2013) Fellow of the Optical Society of America and IEEE Elected to the National Academy of Inventors (2015) Academic Leadership: Advised over 115 graduate students and mentored prominent researchers in photonics and optoelectronics. Current group includes graduate students and postdocs working on hybrid laser systems and quantum-state interrogation. Labs & Teams: Lead the Optical and Quantum Electronics Laboratory, focusing on cutting-edge photonics research. Collaborates with groups like Axel Scherer’s Nanofabrication Lab and Kerry Vahala’s team on integrated photonic systems.
Professor Pawel Niewczas is a leading academic in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he leads the Advanced Sensors Team within the Institute for Energy and Environment. He serves as Director of the Graduate School and Director of the Electrical Power and Energy Systems (EPES) MSc course, playing a key role in academic leadership and postgraduate education. His expertise lies in the development and application of photonic sensing technologies, particularly fibre-optic and FBG-based sensors, for use in power and energy systems. Research areas include power system metering and protection, structural health monitoring of wind turbines, downhole and subsea sensing, and instrumentation for nuclear fission and fusion environments. He focuses on sensor design, fabrication, packaging, deployment, and interrogation in harsh industrial conditions. His recent publications highlight a strong trend toward photonic solutions for HVDC networks, fault detection, optical current sensing, and smart grid resilience. These works reflect a focus on real-time monitoring, calibration accuracy, distributed sensing, and integration of photonic technologies into existing energy infrastructure. The interdisciplinary nature of his research spans electrical engineering, materials science, photonics, and industrial metrology. Winner in the 'Best University Technology' category at the Fourth Annual UK Energy Innovation Awards 2014 "Highly Commended" title awarded to Synaptec Ltd and University of Strathclyde at the IET Innovation Awards 2014 Professor Niewczas actively supervises PhD, MSc, MPhil, and EngD students and leads multiple funded research projects, including EPSRC IAA, PHOENIX, EMERGE, and YETIS. He collaborates with industry partners such as SSE, Scottish Power Renewables, EDF Energy, GE Oil & Gas, and Rolls-Royce. He is also co-founder and R&D Director of Synaptec, a university spin-out commercializing photonic sensing technology. He contributes to the academic community through editorial roles in IEEE Transactions on Instrumentation and Measurement and as General Co-Chair of the IEEE I2MTC 2024 conference. He leads the Advanced Sensors Team, which focuses on developing spectrally encoded sensors, fibre-to-metal bonding techniques, and low-cost, high-performance interrogation systems. The team works on integrated photonics and nano-resolution measurement systems, supporting both academic research and industrial applications.
Hillel Adesnik serves as Associate Professor in the Department of Molecular and Cell Biology at the University of California, Berkeley, with additional affiliation in Neuroscience. His research program centers on deciphering how cortical microcircuits transform sensory input into perceptions and behaviors, utilizing cutting-edge approaches in awake behaving mice to bridge cellular mechanisms with cognitive functions. Adesnik's research investigates the neural basis of perception through three integrated pillars: (1) dissecting horizontal and vertical connections in cortical layers for sensory feature extraction, (2) developing high-resolution optical tools like 3D-SHOT for single-neuron manipulation in intact brains, and (3) analyzing cross-cortical communication for percept synthesis. His lab combines two-photon imaging, optogenetics, electrophysiology, and computational modeling to study tactile processing in barrel cortex and visual perception, revealing how specific neuron types and synaptic mechanisms generate perceptual codes. Key discoveries include layer-specific inhibitory control, supra-linear feature summation, and gamma-band synchronization mechanisms. Analysis of Adesnik's publication record shows consistent focus on cortical microcircuit dynamics across sensory modalities, with increasing emphasis on tool development since 2017. His work demonstrates how precise neural manipulations can establish causal links between circuit activity and perception, particularly through innovations in holographic optogenetics. Recurring themes include the role of somatostatin interneurons in layer-specific processing, cross-laminar interactions in feature coding, and the development of quantitative frameworks for neural population decoding. Scientific recognition includes: Chan Zuckerberg Biohub Investigator (2022 cohort) Adesnik mentors a robust research team comprising postdoctoral fellows (Lamiae Abdeladim, Janine Beyer, Conor Dorian, Will Hendricks, Uday Jagadisan, Mora Ogando, Masato Sadahiro, Kevin Sit, Savitha Sridharan, Andrea Zazzi) and graduate students (Genesis Ferrer Imbert, Courtney Kim, Madi McCloud, Ravi Srinivasan). His lab operates through structured collaboration with engineering groups for optical tool development and maintains active partnerships for disease-model applications. Funding sources include the Chan Zuckerberg Biohub and NIH grants supporting neurotechnology innovation. The Adesnik Lab maintains three core research thrusts through an integrated experimental pipeline: in vivo circuit interrogation in behaving animals, in vitro synaptic analysis, and novel optical instrument development. Current work emphasizes translating high-resolution manipulation techniques to disease models including autism and epilepsy, while expanding into multi-area cortical dynamics during complex behavioral tasks.
Natalia García Rey is a Senior Researcher at the Electrochemical Unit of the University of Alicante (UA). Her work focuses on understanding the physical-chemical mechanisms of charge storage in energy storage systems using ultrafast spectroscopic techniques like sum-frequency generation (SFG) and femtosecond lasers. Collaborating with Prof. Climent at UA, she investigates adsorption dynamics of the electrical double layer with microsecond resolution and molecular sensitivity. Her research spans interdisciplinary projects, including CO2 electroreduction, Li-ion battery interfaces, and photoswitchable molecules for light-mediated manipulation of superstructures at interfaces. Education : PhD in Physical Chemistry from the University of Liverpool (UoL) under Dr. Arnolds, with a thesis on plasmons in photochemical reactions and photodesorption of NO mediated by hot holes. M.Sc. in Physics from Universidad Autónoma de Madrid (UAM), specializing in fabricating pyrite nanoparticles for photovoltaic cells. Her research expertise includes surface dynamics, nonlinear optics, and spectroelectrochemical methodologies. She pioneered the use of SFG to study liquid/gas interfaces, demonstrating its quantitative potential in assessing double-layer potential beyond traditional thin-film techniques. Her work on energy storage systems, particularly supercapacitors and Li-ion batteries, integrates novel interrogation methods with molecular-level insights. Scientific contributions include establishing three fully operational infrared spectroscopy laboratories using ultrafast lasers, a patent-pending spectroelectrochemical cell for in situ measurements, and collaborations with institutions like WWU Germany and UIUC. She has secured funding from the US Department of Energy and holds a María Zambrano grant to advance energy storage research. Scientific Awards : Woodruff Prize (IOP) 2011 for her PhD work. Her career highlights include rebuilding SFG spectrometers after laser upgrades, exploring CO2 electroreduction mediated by ionic liquids, and advancing the application of ultrafast spectroscopies in previously unexplored domains like energy storage and light-responsive superstructures.
Claudio Jose Oton Nieto is an Associate Professor at the Institute of Mechanical Intelligence , Scuola Superiore Sant'Anna in Pisa , specializing in photonic sensing and silicon photonics. He previously held positions at the University of Southampton and Valencia Polytechnic University. Current Role: Associate Professor (2022–present) Past Roles: Senior Research Fellow (2009–2012), Postdoctoral Researcher (2005–2009) Research Interests focus on silicon photonics, optical fiber sensors, and photonic integration for telecommunications and sensing systems. His work includes optical switches, grating couplers, and nonlinear devices. Scientific Awards include a Marie Curie Fellowship . He coordinates the postgraduate courses Lab of Optical Sensing and Components and Photonic Simulations with Python , and serves as a teaching assistant for Optical Fiber Sensor Systems .
Yonas Seifu Muanenda serves as Assistant Professor of Electronic Engineering at the Institute of Mechanical Intelligence, Sant'Anna School of Advanced Studies (SSSA), where he conducts research on advanced distributed fiber optic sensing systems and participates in the university's Interdisciplinary Center for Sustainability and Climate. His work integrates photonics with cloud computing to develop cost-effective sensing solutions for infrastructure and environmental monitoring. His academic credentials include: BSc in Electrical Engineering from Hawassa University (2007) International Master's in Computer Science and Networking from SSSA/University of Pisa with 110/110 summa cum laude (2012) PhD in Emerging Digital Technologies (Photonic Technologies Curriculum) from SSSA with 100/100 summa cum laude (2016) Visiting research at Federal Institute for Material Research and Testing, Berlin (2016) Dr. Muanenda specializes in distributed acoustic sensing (DAS) using phase-sensitive optical time domain reflectometry (φ-OTDR) and optical frequency domain reflectometry (OFDR). His research targets performance enhancement and miniaturization of interrogation units while exploring cloud computing integration for real-time data processing. Recent work extends to spacecraft photonic sensing and sustainable development applications through his center affiliation. Analysis of his 2020-2024 publications reveals a dominant focus on DAS innovation, particularly through direct digital synthesis techniques for pulse compression and nonlinear frequency modulation. Key trends include miniaturization of sensing components, cloud-based data handling architectures, and polarization-independent measurement systems. His work bridges photonics engineering with computational methods to solve practical sensing challenges across multiple domains. Notable academic distinctions include: Master's degree with highest honors (110/110 summa cum laude) PhD with highest honors (100/100 summa cum laude) Dr. Muanenda coordinates Erasmus+ exchange projects between SSSA and institutions in Africa/Latin America, conducting teaching missions in fiber optic systems since 2019. He serves on technical program committees for optical sensing conferences and organizes specialized symposia, demonstrating active community engagement. While no formal student advisement is documented, his international collaborations span Italy, Germany, China, and Spain. His research group operates within SSSA's Institute of Mechanical Intelligence, maintaining strong industry and academic partnerships focused on next-generation sensing technologies. Current projects emphasize scalable implementations of DAS systems with cloud integration, addressing both fundamental photonics challenges and practical deployment requirements for infrastructure monitoring.
Sonia Grego is an Associate Research Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. She leads the Smart Toilet Lab and contributes to research at the Center for Water, Sanitation, Hygiene and Infectious Disease. Her work spans environmental engineering, biomedical device development, and optical biosensor design. Education : M.S. from Università di Pisa (1995), Ph.D. from University of Copenhagen (1999) Current Affiliations : Duke University, Smart Toilet Lab, Center for Water, Sanitation, Hygiene and Infectious Disease Grego's research focuses on smart sanitation systems , integrating IoT technologies for health monitoring through toilet-based diagnostics. Her work bridges biomedical engineering with environmental sustainability , particularly in non-sewered sanitation solutions and wastewater epidemiology. She has pioneered automated stool monitoring systems using computer vision and electrochemical wastewater treatment for public toilet recycling. Her publications demonstrate expertise in: Environmental Engineering : Wastewater analysis, fecal sludge characterization Biomedical Device Development : Microfluidic models, optical biosensor platforms Flexible Electronics : Transparent electrode systems, bend-testing for displays Optical Sensing : Grating couplers, wavelength interrogation systems News coverage highlights her impact on sustainable sanitation through Duke's "Smart Toilet" innovations that monitor health data while promoting water reuse. Earlier work includes nanowire photodetectors and MEMS scanning mirrors for medical endoscopy, showing consistent innovation across multiple engineering domains.
Dr. Maria Leilani Torres serves as a Researcher at the Institute of Quantum Optics within the Faculty of Mathematics and Physics at Leibniz University Hannover. Based in Hannover, Germany, she actively contributes to the Biophotonics research group, where her work bridges advanced optical methodologies with biological systems and biomaterial engineering through experimental laser applications. Her research program centers on laser-matter interactions in biological contexts, with particular expertise in femtosecond laser manipulation of hydrogels and microbial structures. Core investigation areas include: Nanostructure fabrication within biomaterials using ultrafast lasers Optical waveguide development for precision light delivery in biological tissues Laser-induced modification mechanisms in bacterial biofilms Integration of plasmonic materials with soft hydrogel matrices Analysis of her 2017-2019 publications reveals a cohesive trajectory in biophotonics, demonstrating consistent innovation in hydrogel-based optical components and laser-biofilm interaction studies. This work exhibits strong interdisciplinary convergence across photonics, materials science, and microbiology, with emerging applications in medical diagnostics and antimicrobial technology development. No scientific awards or major honors were documented in the source materials. Available information does not specify graduate students supervised or principal investigator roles in research grants. Her position as research staff indicates primary involvement in collaborative projects under senior investigators' leadership within the institute's framework. Dr. Torres operates within the Biophotonics working group at the Institute of Quantum Optics, utilizing specialized femtosecond laser systems and nanofabrication facilities to advance optical techniques for biological interrogation and material modification.
Nikolaos Stathopoulos is a Professor in the Department of Electrical & Electronics Engineering at the University of West Attica since 2018, and previously held positions at the Technological Educational Institute of Piraeus (Assistant Professor from 1999, Associate Professor from 2003, and Professor from 2008). He serves as Head of the WaveComm Lab and Director of the Wireless-Optical Devices and Communication Networks Lab since 2019. His research focuses on optical waveguides, nonlinear optics, organic LEDs, and microwave pulse compression systems. Education: Received the Electrical Engineering diploma (1984) and Ph.D. (1995) from the National Technical University of Athens. Prior to academia, he worked as an RF Electronics Design Engineer and Research Engineer for over a decade. Research Interests: Explores fiber Bragg grating sensors, electromagnetic simulation, organic photovoltaics, and microwave systems. Recent work emphasizes pulse compression systems and advanced optical modeling techniques for perovskite solar cells and hybrid optoelectronic devices. Lab & Collaborations: Leads the WaveComm Lab and the Wireless-Optical Devices Lab, advancing research in optical communications and sensor technologies. His publications span over 30 years, addressing topics from nonlinear waveguides to textile-based antennas.
Martin Thunemann is a Research Assistant Professor in the Department of Biomedical Engineering at Boston University. He leads the Neurovascular Imaging Laboratory, focusing on neuroimaging, electrophysiology, and neurovascular coupling mechanisms. His work integrates advanced microscopy techniques and preclinical imaging to study cerebral blood flow regulation and neurological diseases. Education: Dr. rer. nat. in Biochemistry from Eberhard-Karls-Universität Tübingen, Germany. Research interests include cellular neuroscience, transgenic animal models, and neurotechnology. He develops novel imaging systems like adaptive optics microscopes and transparent neural interfaces for in vivo studies. His lab investigates oxygen metabolism, functional integration of brain organoids, and neuromodulation effects across cortical regions. Awards include the 2015 Preis für Biochemie (Elisabeth & Franz Knoop Foundation) and 2014 Rudolf-Buchheim-Preis (DGPT). Key contributions involve scalable neural interfaces, non-degenerate two-photon microscopy, and multimodal monitoring of brain organoid integration. His work bridges basic neuroscience with translational neurotechnology for future clinical applications.
Dr. Han Yu is an Associate Professor at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. He leads the TrustFUL Research Lab, focusing on trustworthy federated learning and ethical AI systems. His work bridges AI, data privacy, and collaborative computing, with over 300 publications in top conferences/journals. He holds prestigious fellowships and chairs roles in IEEE and AAAI. Dr. Yu earned his PhD in Computer Science from NTU in 2014, followed by postdoctoral research at the Lee Kuan Yew Fellowship. His research has been recognized with multiple awards, including World's Top 2% Scientists in AI and the TOYP Singapore honor. Education: PhD (2014), BEng (2007), both from NTU's School of Computer Engineering. Professional roles include Associate Editor of IEEE TNNLS and sponsorship roles in IJCAI/WWW conferences. He has secured grants exceeding S$10M for projects like federated learning in healthcare and edge-cloud networks. His lab develops tools like FedVision and CrowdFL, addressing real-world challenges through federated learning frameworks. Dr. Yu also contributes to AI ethics education, teaching courses on ethical AI governance and sustainable computing. His research spans federated learning security, multi-modal LLMs, and healthcare applications, with recent breakthroughs in quantum federated learning and privacy-preserving algorithms. Over 25 PhD students have graduated under his mentorship, contributing to industry and academia. Awards highlight his impact, including the Innovative Application of AI Award (AAAI 2025) and recognition in federated learning’s foundational work.
Deborah Davis is a Professor in the Department of Psychology at the University of Nevada, Reno (UNR), affiliated with the College of Science. Her research focuses on psychology and law, particularly witness memory, false confessions, and issues of sexual consent. She holds a Ph.D. from Ohio State University (1973) and a B.A. from the University of Texas (1970). Her research interests span forensic psychology, aging-related jury behavior, and attachment theory in caregiving contexts. Key areas include the psychological mechanisms behind false confessions, juror understanding of confession evidence, and the intersection of sexual arousal and consent interpretation. Her publications emphasize interrogation practices, legal biases, and the cognitive processes underlying eyewitness testimony. Notable themes include mitigating forensic bias, racial stereotypes in child abuse cases, and juror decision-making in criminal trials. Dr. Davis advises three Ph.D. students and has contributed to interdisciplinary research, including a 2020 study on quantum correlations in physics. Her work bridges legal and psychological sciences, advocating for evidence-based reforms in criminal justice systems.
