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Mònica Rius PiniésView profile

Senior Lecturer

• Gender Studies
• Cultural Studies
• Postcolonial Studies
• +7 more

Mònica Rius Piniés is a Senior Lecturer in the Section of Arabic Studies at the University of Barcelona, where she serves as director of the ADHUC Research Centre for Theory, Gender, and Sexuality and holder of the UNESCO Chair Women, Development and Cultures. She coordinates the consolidated research group Women's Creation and Thought (2021 SGR 01097) and contributes to the International Research Network World Gender. Education: Not explicitly detailed Affiliations: University of Barcelona, ADHUC, UNESCO Chair, World Gender Network Her research spans gender studies, cultural analysis, postcolonial literature, and historical science. Key areas include: Arab women's writing in diaspora contexts Qibla orientation and medieval Islamic astronomy Postcolonial translation dynamics Science-religion intersections in Western Islam Cultural memory in Andalusian science Technology-enhanced Arabic language pedagogy Recent publications examine: 2021: Translation politics in Mediterranean Maghrebi-Spanish literary exchange 2020: Scientific legacy of Muslim Iberia 2018: Utopian frameworks in exile literature 2014: Architectural astronomy in Morocco 2012: Arab identity in film and feminism 2009: Medieval Islamic knowledge circulation

Piero FraternaliView profile

Professor

• Web Engineering
• Model-Driven Development
• Human Computation
• +3 more

Piero Fraternali is Full Professor of Web Technologies at Politecnico di Milano, where he leads research on software engineering methodologies for web applications and environmental intelligence systems. His work spans model-driven development, human computation, and AI-powered computer vision. He co-founded WebRatio (commercializing model-driven web development tools) and Servitly (focused on social business process management). His PeakLens app has over 2 million users. Current research explores environmental crime detection through geospatial AI and waste monitoring via satellite imagery. Earlier contributions include the OMG-standardized Interaction Flow Modeling Language (IFML) for application design. He has led several EU projects including PERIVALLON (combating environmental crime) and enCOMPASS (behavioral energy saving). His group develops deep learning methods for gravitational lens analysis and industrial predictive maintenance.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Sensor Technology
• +5 more

Frederic Bezombes is a Reader (associate professor) in Robotics at the School of Engineering, Liverpool John Moores University. Previously, he held roles as Lecturer in Mechatronics and Research Assistant at the university's General Engineering Research Institute (GERI). His work spans robotics, UAV applications, sensor technology, 3D reconstruction, and optical communication systems. PhD in Fiber Bragg Grating Temperature Sensors (GERI, 2004) B.Eng. Mechanical Engineering (University of Central Lancashire, 1999) D.U.T. Mechanical and Robotic Engineering (Institut Universitaire de Montpellier II, 1996) His research integrates drones with multispectral sensors for environmental monitoring, develops optical communication for underwater robotics, and explores precision measurement techniques. Recent publications highlight UAV applications in coastal morphology, virtual reality for sports analysis, and interferometer-based distance measurement. Frederic has contributed to projects like DigiArt (European Commission grant) and multiple short-term contracts with the Metropolitan Police (2023-2024), focusing on UAV deployment for security and forensic applications.

• Computer Science
• Sensor Networks
• Robotics
• +5 more

Ákos Lédeczi is a prolific researcher with significant contributions to computer science, sensor networks, robotics, and K-12 education. His work spans hardware-software co-design, wireless localization, and accessible programming environments. Co-developed NetsBlox and DeepForge for novice-friendly distributed computing. Created PinPtr high-precision GPS cloud service and inTrack mobile node tracking systems. Pioneered Browser-based robotics simulation and smartphone IoT education for K-12 students. Explored RF interferometry , Doppler shift tracking , and acoustic shooter localization in urban environments. Contributed to medical capsule robot design and security co-design for embedded systems. His recent focus includes project-based AI curricula for female high school students and collaborative visual programming environments . While specific university affiliations aren't detailed here, his collaborations with Péter Völgyesi, Miklós Maróti, and others highlight his role in advancing distributed and sensor network research.

Sebastian MarinoView profile

Research Fellow

• Exoplanetary Systems
• Planet Formation
• Planetary Systems Dynamics
• +3 more

Dr. Sebastian Marino is a Royal Society University Research Fellow at the University of Exeter , affiliated with the Department of Physics and Astronomy. His research focuses on exoplanetary systems, particularly the formation of exoplanets and exocomets, and the dynamics of planetary systems. Primary tools: JWST and ALMA observations, numerical simulations Key research questions: Formation locations of exocomets/exoplanets, composition of exocomets, volatile delivery to terrestrial exoplanets He develops specialized Python-based software for modeling debris disc evolution and gas dynamics, including packages like Exogas and Disc2Radmc . Research areas: Space sciences, Astronomical sciences, Astrophysics Scientific Awards : Royal Society University Research Fellow

Romain ThomasView profile

Researcher

• Software Engineering
• Open Source Software
• Open Research
• +3 more

Dr. Romain Thomas serves as the Head of Research Software Engineering at the University of Sheffield's School of Computer Science. His role involves leading a team of research software engineers (RSEs) collaborating with university research groups to develop high-quality research software. Previously, he was a Staff Astronomer at the European Southern Observatory (ESO) in Chile, where he led software projects for data quality control at the Very Large Telescopes. His research interests focus on software engineering practices, open-source technologies, open research initiatives, FAIR data principles, and data management strategies. Romain holds an Orcid ID: 0000-0001-8385-3276 . He is based at Regent Court (DCS), 211 Portobello, Sheffield S1 4DP.

Kenichi MiuraView profile

Professor

• Supercomputer Architecture
• Grid Computing
• High-Performance Computing
• +5 more

Kenichi Miura is a Professor in High-end Computing and Director of the Center for Grid Research and Development at the National Institute of Informatics (NII). He also serves as a Fellow at Fujitsu Laboratories Limited, a Visiting Professor at the National Astronomical Observatory, and a Visiting Researcher at RIKEN. He is a member of the Engineering Academy of Japan. Dr. Miura holds a B.S. in Physics from the University of Tokyo (1968), and M.S. and Ph.D. degrees in Computer Science from the University of Illinois, Urbana-Champaign (1971 and 1973, respectively). His early career included roles as a Research Assistant and Research Associate in the ILLIAC IV Project. His research focuses on supercomputer architecture, grid computing, vector/parallel algorithms, Monte Carlo simulation algorithms, and non-linear dynamics. He has led major initiatives such as the National Research Grid Initiative Project (NAREGI, 2003–2008) and the RENKEI project (since 2008), both funded by Japan’s MEXT. His work at Fujitsu spanned mainframe design, high-performance computing, and signal processors for radio astronomy. Notably, he received the 2009 Seymour Cray Computer Engineering Award for pioneering contributions to vector supercomputing hardware and software. Though no specific student names or grants are listed, his advisory and project leadership roles at NII and Fujitsu reflect significant contributions to computational research and development.

Omar AnwarView profile

Research Fellow

• Machine Learning
• Low Power Computing
• Wireless Sensor Networks
• +3 more

Omar Anwar is a Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at the University of Western Australia. He holds a BS in Electronic Engineering from Muhammad Ali Jinnah University (2007) and an MS in Embedded Systems Engineering from the University of Leeds (2009). His research focuses on Machine Learning, Low Power Computing, Wireless Sensor Networks, and Radio Frequency Interference (RFI) mitigation in radio astronomy. Currently, he contributes to the Data Intensive Astronomy (DIA) group at ICRAR, addressing RFI challenges critical to astronomy research. Education: Bachelor of Science in Electronic Engineering, Muhammad Ali Jinnah University, 2007 Master of Science in Embedded Systems Engineering, University of Leeds, 2009 Research Interests: Anwar’s work combines machine learning with hardware optimization to solve real-world challenges. His innovations include developing low-power, long-range sensor systems for remote beehive health monitoring and pioneering the first ML model for beehive weight estimation. His current focus on RFI minimization aims to enhance radio astronomy data quality. His research bridges agriculture, embedded systems, and astrophysics, emphasizing interdisciplinary applications. Awards & Grants: No specific awards or grants are listed in the provided texts. Advising & Labs: Anwar is part of the DIA group at ICRAR, collaborating on large-scale astronomical data challenges. No formal advisee list is provided.

• Neutron Star Phenomena
• Radio Pulsar Timing
• Gravitational Wave Astronomy
• +4 more

Benjamin Shaw is a Research Associate in the Astronomy and Astrophysics Theory Group at the University of Manchester’s School of Physics and Astronomy. His primary research focuses on neutron star phenomena, particularly radio pulsar timing, pulsar variability, and real-time data processing pipelines. He contributes to the Jodrell Bank pulsar timing program and the Square Kilometre Array (SKA) pulsar search initiative. Shaw holds a PhD from the University of Manchester (2018) under supervisors Willem Stappers and Pieter Weltevrede, focusing on 'Timing and emission variability in radio pulsars.' His work spans gravitational wave detection using pulsar timing arrays, pulsar glitch dynamics, and magnetar evolution. He has collaborated internationally, including with LIGO-Virgo-KAGRA consortia and major radio observatories. Shaw actively participates in academic activities, organizing conferences like 'Science Possibilities Investigating Neutron Stars in the UK' (2022) and delivering invited talks on pulsar astrophysics. His research has been featured in outlets like the Astrophysical Journal and Monthly Notices of the Royal Astronomical Society. Key areas of contribution include Bayesian modeling of pulsar spin behavior, radio/X-ray correlations in magnetars, and developing software for real-time pulsar data analysis. He has no listed awards but maintains an active media presence through BBC Radio 5 LIVE segments discussing astrophysical topics.

Lee KumpView profile

Professor

• Biogeochemical Cycles
• Environmental Biogeochemistry
• Atmosphere/Ocean Evolution
• +5 more

Lee Kump is the John Leone Dean in the College of Earth and Mineral Sciences and a Professor of Geosciences at Pennsylvania State University. His research focuses on biogeochemical cycles, environmental biogeochemistry, and atmosphere/ocean evolution, with specialties in carbon cycle dynamics, paleoclimatology, and mass extinction events. He has contributed to studies on the Paleocene-Eocene Thermal Maximum (PETM), Permian-Triassic mass extinctions, and modern environmental challenges such as wastewater management in coastal systems. Notable awards include the 2024 Packard Fellowship and recognition as IEE 'Person of the Year.' His work spans interdisciplinary collaborations, including studies on Florida Keys wastewater impacts, carbonate layer formation post-impact events, and Arctic climate perturbations during the PETM. He leads initiatives in climate science education and software development, exemplified by the Acycle tool for paleoclimate analysis. Executive Committee Member, IEE Research Themes: Climate and Natural Systems Affiliate Researcher, Water Sustainability Programs Recent articles highlight advancements in understanding ocean acidification during past climate events, spatial climate patterns, and geochemical mechanisms controlling carbonate systems. His research bridges ancient Earth processes with modern environmental challenges, emphasizing climate change mitigation and resource sustainability.

• Advanced Casting Science and Technologies
• Computational Fluid Dynamics
• Computing, Simulation & Modelling
• +9 more

Dr. Laszlo Konozsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering at the Centre for Computational Engineering Sciences, Cranfield University. He serves as Course Director for the MSc in Aerospace Computational Engineering, a top 5 UK program. His expertise spans computational fluid dynamics (CFD), turbulence modelling, and multiphysics simulations with industrial applications in aerospace, automotive, and energy systems. PhD in Engineering Sciences, University of Miskolc (2004) PhD in Computational Fluid Dynamics, Cranfield University (2006) His research focuses on anisotropic turbulence modelling , hybrid LES/RANS methods , micro/nanofluidics , and multiphysics simulations for aerospace and industrial processes. He pioneered acoustic streaming models for space applications and developed high-order numerical methods for incompressible flows. Dr. Konozsy has authored two Springer books on turbulence modelling, which received 72,000+ views on LinkedIn. He has over 100 publications, including 40+ peer-reviewed journals, and supervised 10+ PhD students. His work involves collaborations with the European Space Agency , Reaction Engines Ltd. , and Pangea Aerospace . Best Lecturer (Student Led Teaching Award) 2014/2015 Best Research Supervisor (Student Led Teaching Award) 2015/2016 9 awards for supervisory excellence Dr. Konozsy teaches 2500+ academic hours across institutions, emphasizing computational engineering and turbulence theory. He has established new educational frameworks and mentored award-winning students, including recipients of the Lord Kings Norton Medal and Vice-Chancellor's Prize .

• Computer Engineering
• Internet of Things (IoT)
• Human-Computer Interaction
• +7 more

Diјana Stoјić is a Lecturer at the Department of Computer and Software Engineering , Faculty of Technical Sciences Čačak , affiliated with the University of Kragujevac . She holds a Master's degree in Computer Engineering and is currently pursuing her PhD in Electrical and Computer Engineering at the same faculty. Her academic role involves teaching subjects such as Programming Languages, Human-Computer Interaction, and Visual Programming. Born: March 7, 1988, in Foča, Bosnia and Herzegovina Education: Primary (Vuk Karadžić School, Čačak), Technical School in Čačak (Computer Engineering), BSc and MSc from the Technical Faculty in Čačak Her research interests span Computer Engineering , Internet of Things (IoT) , Machine Learning , and Human-Computer Interaction . Recent publications highlight her work in artificial neural networks , augmented reality applications , and image classification for agricultural and medical purposes. She has contributed to projects like the TR32043 project on low-power systems and the DeSKoll project on German-Serbian language resources. Notable scientific awards include: Award for Best First-Year Student in Electrical Engineering (Technical Faculty in Čačak) Scholarship from the Ministry of Education, Science, and Technological Development (2013-2017) Her grant involvement includes participation in the TR32043 project (2011-2019) and the DeSKoll project (2024-2025). She has also collaborated on lab experiments and remote engineering education initiatives during the pandemic.

• Astrophysics
• Cosmology
• Intergalactic Medium
• +3 more

J. Xavier Prochaska is a Professor of Astronomy & Astrophysics at the University of California, Santa Cruz (UC Santa Cruz) and an Astronomer at the University of California Observatories (UCO). His research focuses on absorption-line analysis using bright background sources like quasars and gamma-ray bursts to study the intergalactic and stellar medium in galaxies. Key research initiatives: Inter(galactic+stellar) Medium Program of Studies (IMPS) , ENIGMA Projects: QPQ (Quasar Proximity Quasar), DLA (Damped Lyman-alpha systems), ESI/Keck/HIRES spectral analysis, SDSS LLS (Lyman Limit Systems) He developed the XIDL and LowRedux software packages for spectral data reduction. His work is supported by NSF grant AST 03-07408. Professional activities include membership on the Keck/SSC (Science Steering Committee) and leadership in data reduction pipelines for instruments like Keck/LRIS, Lick/KAST, and Gemini/GMOS. He has contributed extensively to open-source IDL routines and documentation.

Kyle van GorkomView profile

Researcher

• Exoplanets
• High Contrast Imaging
• Wavefront Sensing and Control
• +3 more

Kyle van Gorkom is an Assistant Research Professor at Steward Observatory, University of Arizona, specializing in high contrast imaging of exoplanets and wavefront sensing and control techniques. He collaborates with Ewan Douglas on space-based observatory instrumentation and previously worked at NASA Goddard and the Space Telescope Science Institute on optical engineering for the Hubble and James Webb Space Telescopes. Education: PhD in Optical Sciences (2021) and BS in Physics and Philosophy (2014), both from the University of Arizona. His research focuses on advancing optical technologies for astronomical applications, particularly deformable mirrors and focal-plane wavefront sensing. Kyle contributes to instrumentation projects like MagAO-X and develops software tools for coronagraphy and Zernike polynomial conversions, available on his GitHub repositories.

• Astronomy
• Astrophysics
• Exoplanetary Science
• +4 more

Maxwell Andrew Millar-Blanchaer is a leading researcher in astronomical instrumentation, polarimetry, and exoplanet imaging. His work focuses on high-contrast imaging techniques, debris disk analysis, and observational astrophysics. He collaborates with major observatories like JWST , Keck , and Gemini Planet Imager . Research Interests: Millar-Blanchaer specializes in polarimetry for mapping interstellar magnetic fields and high-contrast imaging to study exoplanetary systems . His work includes instrumentation development for next-generation telescopes and debris disk characterization to understand planetary formation. Scientific Awards: NSF Collaborative Research Grant (2024) Projects & Collaborations: He contributes to JWST , Gemini , and Keck programs, developing pipelines like spaceKLIP and PIRATES for data reduction. His work spans SCExAO/VAMPIRES and KPIC teams for polarimetric and interferometric studies.