Paritosh Manurkar is a Senior Research Fellow at the University of Colorado, specializing in the Electromagnetic Fields Group . His work focuses on advancing millimeter-wave (mmWave) technology for next-generation wireless communication systems, particularly in the context of 5G networks and over-the-air (OTA) testing methodologies. Research Interests: Wireless metrology Millimeter-wave modulated-signal sources Traceable over-the-air measurements Key Projects: Extending novel mmWave signal sources to 94, 72, and 28 GHz Automating data acquisition and signal processing workflows Developing free-space traceability standards for OTA calibration Collaborating with industry partners on phased array source development Methodologies: System-level calibration of measurement equipment Dynamic range optimization in wireless testing Sub-Nyquist sampling techniques for signal analysis
Dr. Israel Vaughn is an Instrument Scientist at the Advanced Instrumentation and Technology Centre within the Research School of Astronomy and Astrophysics at the Australian National University. With a PhD in Optical Sciences from the University of Arizona, their work focuses on optical instrumentation, space optics, and polarimetric remote sensing. Education: PhD in Optical Sciences, Wyant College of Optical Sciences, University of Arizona; Master of Mathematics (By Coursework), University of New Mexico. Dr. Vaughn’s research interests include: Engineering Instrumentation Electromagnetics Astronomical Instrumentation Nonlinear Optics Spectroscopy Space Instrumentation Recent publications highlight their contributions to adaptive optics systems for the Giant Magellan Telescope, metasurface lenslet arrays, and polarimetric imaging innovations. Their work also extends to space-based mission concepts like the Ultraviolet Extinction Sky Survey (UVESS).
Bernhard Gleich is a faculty member at the Technical University of Munich (TUM), affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Chair of Biomedical Physics. His academic rank is Lecturer, and he contributes to teaching courses including Biostatistics and Signal Theory. His research focuses on advanced biomedical imaging and instrumentation, with key interests in X-ray tensor tomography, grating interferometry applications, low-field NMR device development, and high-frequency transcranial magnetic stimulation. His work bridges medical diagnostics and engineering innovation. Gleich's recent publications (2019–2024) demonstrate a strong focus on optimizing X-ray imaging techniques, particularly dark-field radiography and computed tomography. His research consistently addresses clinical applications such as fracture detection, pulmonary disease diagnosis, and COVID-19 imaging, with innovations in beamline instrumentation and dose reduction. He maintains active collaborations at the Munich Compact Light Source (MuCLS) and contributes to developing next-generation imaging platforms. No awards or student advisorship details were identified in available materials.
Francesco Ravazzolo is Full Professor of Econometrics at the Free University of Bozen-Bolzano (Faculty of Economics and Management) and Head of the Department of Data Science & Analytics at BI Norwegian Business School. He also acts as visiting professor at BI’s Center for Applied Macro and Commodity Prices and is president of the Society of Nonlinear Dynamics and Econometrics. Education: Ph.D. in Econometrics, Tinbergen Institute & Erasmus University Rotterdam, 2007 Research domains: Ravazzolo’s work sits at the intersection of Bayesian econometrics, energy economics, financial econometrics and macroeconometrics. He develops forecasting methods for electricity prices, commodity markets, cryptocurrencies and macro aggregates, with particular emphasis on regime-switching, mixed-frequency and high-dimensional techniques. His recent projects exploit textual data and semantic networks to predict consumer confidence and financial volatility. Publication trends: Since 2022 he has published extensively on (i) hourly/daily electricity-price forecasting with renewables and macro drivers, (ii) robust or Markov-switching time-series methodologies, (iii) big-data sentiment indicators for bond and stock markets, and (iv) energy-commodity and crypto-asset econometrics. Applications span European gas-price caps, Italian zonal imbalances, Nordic and German power markets, and global CDS indices. Editorial & professional service: Editorial boards: Annals of Applied Statistics, International Journal of Forecasting, Journal of Applied Econometrics, Spatial Economic Analysis, Studies in Nonlinear Dynamics & Econometrics President, Society of Nonlinear Dynamics & Econometrics Grants & enterprise: He is co-founder of three academic spin-offs: AIAQUA (AI for water and energy management), COMMODIA (commodity-data analytics) and STAIRS (forecasting platforms), securing continuous grant and industry funding for applied research. Labs & teams: At BI he leads the Department of Data Science & Analytics (ca. 40 faculty) and coordinates the Commodity Prices Research Hub; at unibz he supervises the Econometrics & Forecasting group involved in regional energy-market projects.
Jan Martin Zepter is a Postdoctoral Researcher at DTU's Department of Wind and Energy Systems, specializing in distributed energy resource modeling with emphasis on electric vehicle-grid integration and renewable energy systems. His work directly supports European decarbonization initiatives through projects like EV4EU and INSULAE. His academic journey includes: Ph.D. in Wind and Energy Systems, Technical University of Denmark (2019-2023) M.Sc. in Sustainable Energy Systems, Norwegian University of Science and Technology (2016-2019) Dual M.Sc. in Industrial Engineering (Electrical Engineering focus), Technical University of Berlin (2016-2019) B.Sc. in Industrial Engineering, Technical University of Berlin (2013-2017) Dr. Zepter's research bridges technical and economic domains, developing advanced models for virtual power plants , degradation-aware battery operation , and local flexibility markets . His fingerprint reveals dominant expertise in Electric Vehicle Engineering (100%), Energy Engineering (52%), and Battery Systems (46%), with growing contributions to DC Microgrids and Photovoltaics integration. He pioneers methodologies combining receding horizon optimization with real-world market constraints to enable high renewable penetration. His 15 most recent publications (2024-2025) demonstrate three critical trends: (1) Techno-economic analysis of PV-powered EV charging infrastructure, (2) Degradation-cost integration in battery market participation, and (3) Local flexibility market designs for distribution networks. These works establish novel frameworks for consumer-centric energy markets while addressing grid stability challenges through distributed resources. As an active supervisor, Dr. Zepter guides four PhD candidates—D. M. Santos (degradation-aware V2G), M. Ledro (battery-hybrid systems), A. Malkova (EV-powered plants), and X. Cao (EV management)—across European projects with combined funding exceeding €15M. His research directly contributes to UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action) through practical solutions for island energy systems and transport electrification. Based at DTU's Wind and Energy Systems department, he collaborates with industry partners on real-world demonstrations including Bornholm Island's virtual power plant and Madeira's replication initiatives, focusing on scalable solutions for renewable integration in constrained grids.
Thorsten Hansen is a Professor in the Department of General Psychology at Justus Liebig University Giessen, Germany. His research focuses on human color vision using psychophysical methods, computational modeling, and natural scene statistics to understand the principles of color processing and visual perception. Dr. Hansen received his Ph.D. in Computer Science from the University of Ulm in 2002 and a Diploma in Computer Science with distinction from the Technical University of Braunschweig in 1997. His academic journey bridges computer science and psychology, creating a unique interdisciplinary approach to vision science. Hansen's research centers on color vision mechanisms, particularly how color contributes to edge detection, contour integration, and object recognition in natural scenes. His work explores higher-order color mechanisms, color constancy, and the influence of memory on color appearance. He has demonstrated that memory significantly modulates color perception, famously showing that even black-and-white bananas still appear yellow due to our memory of their typical color. His research combines experimental psychophysics with computational modeling to understand both early and higher-level visual processing. Analysis of Hansen's publication record reveals a consistent focus on color vision mechanisms with increasing emphasis on natural scene statistics and real-world applications. His work spans from fundamental neural mechanisms to applied perception research, with a strong emphasis on how color processing contributes to object recognition and scene understanding. Recent publications show continued innovation in understanding the relationship between color, form, and object knowledge in visual perception. KI/Kognitionspreis for best contribution of a young scientist in Kognitionswissenschaftliche KI Postdoctoral fellow travel fellowship for ICCNS 2003 Graduate student travel fellowship for ICCNS 2002 Hansen has supervised numerous doctoral, diploma, and bachelor students, with research topics spanning color constancy, visual illusions, chromatic discrimination, and neural models of vision. His teaching includes courses on visual perception, color vision, and psychophysical methods. As a reviewer, he contributes to major vision science journals and the Deutsche Forschungsgemeinschaft (DFG). Hansen has organized symposia on color vision and presented his work internationally, demonstrating his active engagement with the global vision science community. His laboratory combines psychophysical experimentation with computational modeling to investigate the principles of early and higher-order mechanisms of color processing. Research focuses on understanding the number and nature of higher-order color mechanisms and how they contribute to visual perception in natural environments.
Christos P. Tsekrekos serves as a Research Fellow at the Photonics Technology Laboratory within the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, a position he has held since November 2011. His research focuses on advancing optical communication systems through innovations in multimode fiber transmission, radio-over-fiber technologies, and passive optical networks. His educational foundation includes: Bachelor's degree in Electrical and Computer Engineering from the National Technical University of Athens (2003) Ph.D. in Optical Communications from Eindhoven University of Technology, Netherlands (2008) Dr. Tsekrekos' research spans Optical Communications , Fiber Optics , Radio-over-Fiber (RoF) , and Passive Optical Networks (PON) , with pioneering contributions to mode group diversity multiplexing (MGDM) and the invention of mode-selective spatial filtering (MSSF) . His work bridges theoretical innovation with experimental validation in multimode fiber systems and integrated optical-wireless architectures. Analysis of his 15 most recent publications reveals a concentrated focus on reconfigurable optical-wireless convergence (2009-2011), featuring experimental demonstrations of millimeter-wave RoF/baseband integration and bandwidth expansion techniques for PONs. Key methodological themes include wavelength interleaving, polarization multiplexing, and MSSF-based impairment mitigation across multimode fiber systems. His research has been supported by the Japan Society for the Promotion of Science (JSPS) Global Center of Excellence program and European FP7 projects. As an active contributor to the Photonics Technology Laboratory, he maintains technical leadership in experimental photonics while serving as a reviewer for IEEE and OSA journals.
Jeffrey Walker is a Research Fellow in the School of Civil Engineering at the University of New South Wales . His work focuses on soil moisture retrieval using advanced remote sensing technologies, including synthetic aperture radar (SAR), L-band and P-band radiometers, and GNSS-R systems. He integrates machine learning algorithms for spatial downscaling, multi-scale modeling, and time-series analysis to improve hydrological monitoring in agricultural, urban, and infrastructure contexts. Key Research Areas : Soil moisture remote sensing, microwave radiometry, machine learning applications in environmental data, geospatial modeling, sustainable construction, and eco-friendly pavement design. Notable Contributions : Development of LSTM neural networks for pavement moisture prediction, novel downscaling methods using optical trapezoid models, and assimilation frameworks for land surface models. Recent Trends : Emphasis on UAV-based radiometry, multi-frequency sensor fusion, and addressing over-optimism in SAR soil moisture modeling. Applications : Smart rehabilitation of pavements, flood model calibration with crowd-sourced data, and crop yield estimation via satellite imagery fusion.
Alexandre Reynaud serves as a Junior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Montreal General Hospital site and holds an Assistant Professor position in the Department of Ophthalmology and Visual Sciences within McGill University's Faculty of Medicine and Health Sciences. He is actively affiliated with the Brain Repair and Integrative Neuroscience (BRaIN) Program and Centre for Translational Biology, directing the Binocular Integration in Space and Time research group under the McGill Vision Research Unit. Dr. Reynaud's research centers on elucidating binocular vision mechanisms through psychophysical experiments and brain imaging techniques applied to both normal and clinical populations. His work spans amblyopia pathophysiology, stereopsis processing, visual plasticity, and spatial vision analysis including texture and color perception. He develops computational models to explain neural correlates of visual processing deficits and investigates therapeutic applications like dichoptic training protocols. Analysis of his recent publications reveals a dominant focus on amblyopia treatment innovation, particularly dichoptic training methodologies for adults beyond critical periods. His work consistently examines binocular imbalance quantification, interocular suppression dynamics, and stereopsis restoration mechanisms. Current trends show increasing emphasis on translating laboratory findings into clinical tools like the Dichoptic Contrast Ordering Test and home-based therapeutic applications. Dr. Reynaud leads the Binocular Integration in Space and Time research initiative within the McGill Vision Research Unit, collaborating across the Brain Repair and Integrative Neurosciences Program to develop vision-strengthening systems and investigate neural mechanisms underlying visual perception deficits.
Aysenil Belger, PhD, is a Professor and Director of Neuroimaging Research in Psychiatry at the University of North Carolina at Chapel Hill's School of Medicine, Department of Psychiatry. She holds a joint appointment as Adjunct Associate Professor of Radiology at Duke University's Brain Imaging and Analysis Center. Her research employs multimodal neuroimaging (fMRI, EEG, fNIRS) and neuropsychological methods to investigate cortical circuits underlying attention, executive function, and emotion processing in neuropsychiatric disorders. Dr. Belger completed her BS at Ege University, followed by MA and PhD degrees at the University of Illinois at Urbana-Champaign. Her current work focuses on neural abnormalities in autism, schizophrenia, mood disorders, and PTSD, with recent investigations into stress regulation in adolescence and psychosis risk prediction. Her research integrates experimental psychology with neurophysiological assessments to examine sensory and cognitive impairments across disorders. Key investigations include electrophysiological markers in autism, neural oscillatory abnormalities in schizophrenia, and the impact of early childhood trauma on adult brain function. She actively mentors trainees across academic levels and teaches Cognitive Clinical Neuroscience at UNC. Recent publications demonstrate a methodological focus on dynamic functional connectivity, multimodal data fusion, and neurophysiological biomarker validation. Her work frequently employs machine learning approaches for psychosis prediction and emphasizes translational applications for precision psychiatry. Common themes include neural oscillatory dynamics, stress response systems, cortico-subcortical network interactions, and neurodevelopmental trajectories.
Dr. Peter A. Wasiuk is an Assistant Professor in the Department of Communication Disorders at Southern Connecticut State University. He holds dual credentials in clinical audiology and cognitive psychology, focusing on auditory perception and speech recognition challenges. Completed Au.D. at University of Massachusetts Amherst (2018) Ph.D. in Psychological Sciences from Case Western Reserve University (2022) Collaborator with Dr. Emily Buss at University of North Carolina at Chapel Hill His research examines how individuals perceive and comprehend spoken language in noisy environments, using behavioral experiments and computational modeling across populations like hearing-impaired individuals, aging adults, and those with diverse linguistic backgrounds. He develops clinical diagnostics and personalized interventions to enhance real-world listening experiences. Recent publications analyze spatial separation effects, frequency contour similarity, and computational glimpsing models for speech-in-speech recognition. Grants include interprofessional education initiatives and studies on autism spectrum auditory processing. Co-Principal Investigator on $7,500 CT State University grant (2024-2025) Recipient of multiple Southern Connecticut State University grants ($3,610-$8,500) Dr. Wasiuk teaches hearing science, clinical audiology, and research methods, emphasizing student-centered learning. He contributes to the Speech and Auditory Research Lab (SpAR Lab) and integrates simulated learning tools into audiology education.
Tom Franken, MD, PhD, is an Assistant Professor of Neuroscience at the Department of Neuroscience, Washington University School of Medicine in St. Louis. He leads the Franken Lab which focuses on understanding how the primate brain parses complex sensory information to construct organized representations of the external world. Dr. Franken's research centers on visual perception mechanisms, particularly border ownership computation where neurons in early visual areas (V2, V4) signal which side of a border belongs to a foreground object. His work has revealed that border ownership signals are organized in columnar clusters with deep layer neurons carrying the earliest signals, supporting the hypothesis of feedback from higher brain areas. The lab employs high-channel count electrophysiology (Neuropixels) in behaving non-human primates, behavioral techniques, causal approaches, and computational methods to study these neural mechanisms. Analysis of Dr. Franken's recent publications shows a strong focus on visual scene segmentation and neural computation, with significant contributions to understanding how the brain organizes visual input into meaningful objects. His 2025 work demonstrates that brain-like border ownership signals emerge in deep recurrent artificial neural networks trained to predict natural videos, suggesting these signals are fundamental to efficient visual processing. Earlier work also extends into auditory neuroscience, particularly sound localization mechanisms. Dr. Franken's laboratory is actively recruiting researchers, indicating ongoing projects in visual and auditory neuroscience with applications to understanding conditions where perceptual organization fails, such as agnosia, schizophrenia, or autism.
Elin Roverud is a Research Assistant Professor in the Department of Speech, Language & Hearing Sciences at Boston University's Sargent College of Health & Rehabilitation Sciences. With dual expertise in clinical audiology and hearing science research, she investigates how listeners with normal hearing and hearing loss process speech in complex acoustic environments. Dr. Roverud earned her BA in Communication Sciences and Disorders from the University of Minnesota (2007), followed by an AuD in Audiology (2011) and PhD in Hearing Science (2014), both from Purdue University. Her educational background provides a strong foundation for bridging clinical practice and scientific research in hearing science. Her primary research interests focus on selective auditory attention abilities in listeners with normal hearing and hearing loss, and methods for maximizing benefits from auditory training in listeners with hearing impairment. Her work examines how listeners allocate attention to target speech while suppressing competing sounds, how hearing aids affect spatial hearing abilities, and how cross-frequency interactions differ between normal and impaired hearing. Analysis of her recent publications (2016-2024) reveals consistent focus on speech processing in noise, auditory attention mechanisms, and hearing aid technology evaluation. Her research employs rigorous psychophysical methods to investigate fundamental auditory processes with direct clinical implications for improving communication for people with hearing loss. Dr. Roverud maintains active collaborations with researchers including Virginia Best, Gerald Kidd Jr., and Sarah Villard, with publications appearing in leading journals such as the Journal of the Acoustical Society of America, Trends in Hearing, and Ear and Hearing. Her work combines expertise in psychoacoustics, speech perception, and clinical audiology to address complex questions about hearing impairment. Her research has important implications for developing better hearing aid technologies and auditory training protocols that can improve speech understanding in noise for hearing aid users. By understanding the attentional mechanisms that underlie speech processing in challenging listening environments, her work helps inform the design of more effective interventions for people with hearing loss.
Luca Marinelli is a Tutor at Queen Mary University of London's School of Electronic Engineering and Computer Science, concurrently pursuing doctoral research on multimodal analysis of gender encoding in advertising music. His work bridges machine listening, computational musicology, and critical discourse analysis. Research explores deep learning approaches to decode gendered sound patterns in media, employing music information retrieval (MIR) techniques on large-scale advertising corpora. Recent publications focus on explainable AI for bias detection in commercial audio, foundation models for music, and multimodal gender representation. Teaching: Leads the Professional and Research Practice undergraduate module, covering engineering ethics, communication skills, and career development frameworks through project-based learning. Doctoral project investigates historical sedimentation of gender stereotypes in sonic branding, combining MIR with social theory to audit cultural biases in advertising soundtracks.
Prof Federico Frascoli is a Professor of Applied Mathematics and Chair of the Department of Mathematics at Swinburne University of Technology. He holds a Laurea in Theoretical Physics from the University of Parma (2001) and a PhD in Mathematical Physics from Swinburne (2007). His career includes postdoctoral roles at the Brain Sciences Institute (Melbourne) and the University of Melbourne, progressing to faculty positions at Swinburne since 2013. His research focuses on systems far from equilibrium, spanning mathematical biology (immune-cancer dynamics, neurology), nonequilibrium statistical mechanics, and dynamical systems. Education Laurea in Theoretical Physics, University of Parma, Italy (2001) PhD in Mathematical Physics, Swinburne University of Technology (2007) Research Interests Non-equilibrium systems: cellular motility, nano-confined fluids, brain oscillations Mathematical biology: cancer-immune dynamics, virotherapy, neurodegenerative diseases Statistical mechanics and dynamical systems theory His recent work includes modeling therapeutic lag in multiple sclerosis, oncolytic virotherapy efficacy, and the dynamics of tuberculosis progression. Notable publications address particle transport in polygonal billiards, ERK signaling pathways, and neurology care accessibility in Australia. Awards include Swinburne's Research Impact Award (2018) and an Early Career Researcher scheme (2010). Prof Frascoli has secured grants from the Australian Research Council (ARC), NHMRC, and international collaborators like Politecnico di Torino. His projects explore T cell fate control, viral infection dynamics, and nanoscale device optimization. He actively supervises PhD candidates in applied mathematics and interdisciplinary research.
