Find Academic Supervisors

• Space Research
• Embedded Systems
• Satellite Software Engineering
• +5 more

Agustín Martínez Hellín is an Associate Professor at the Department of Automática, Universidad de Alcalá. His research focuses on embedded systems, satellite software engineering, and spaceborne processor architectures. He holds a Doctorate in Engineering from Universidad de Alcalá, with a thesis on optimizing DSP-based audio signal transmission systems (2001). Key contributions include RISC-V processor designs for space applications, LEON processor virtualization extensions, and FPGA-based phased array systems. He is a core member of the Space Research Group (SRG-UAH), addressing challenges in space software reliability and model-driven engineering for ground support systems. His work spans both hardware-software co-design for on-board systems and radiation-hardened computing solutions. Teaching interests include curriculum development for space instrumentation and data management in satellite systems. Recent publications highlight advancements in spaceborne performance monitoring, solar energetic particle analysis via Solar Orbiter data, and interdisciplinary model-driven methodologies for automated testing. His research portfolio demonstrates strong engagement with European space missions and cutting-edge aerospace computing challenges, emphasizing practical applications of embedded systems in extreme environments.

Xiao HuView profile

Assistant Professor

• Database Theory
• Massively Parallel Query Processing
• Dynamic Query Processing
• +5 more

Xiao Hu is an Assistant Professor at the University of Waterloo, specializing in database theory and nanofabrication. His research focuses on fundamental database systems, parallel query processing, and advanced nanomaterial fabrication techniques. He holds a BE from Tsinghua University (2014) and a Ph.D. from HKUST (2019). Research Interests: Database theory, massively parallel query systems, dynamic query optimization, oblivious processing frameworks, nanoscale semiconductor fabrication, plasma etching processes, and extreme ultraviolet lithography applications. Publications span nanostructure fabrication methods (e.g., silicon nanocone arrays, cryogenic etching), advanced sensor technologies (e.g., gold interdigitated biosensors), and semiconductor material analysis (e.g., GaN/perovskite interfaces). His work addresses challenges in high-precision nanofabrication and optoelectronic device performance optimization. Key technical contributions include novel plasma etching techniques for high-aspect-ratio structures, theoretical modeling of semiconductor thermal properties, and innovative biosensor designs for rapid pathogen detection.

Yan WangView profile

Professor

• Energy Storage
• Lithium Ion Batteries
• Supercapacitors
• +7 more

Yan Wang is the William Smith Foundation Dean's Professor of Mechanical Engineering at Worcester Polytechnic Institute (WPI). He leads the Electrochemical Energy Laboratory and focuses on advanced materials and technologies for energy storage systems, including lithium-ion batteries, supercapacitors, and flow batteries. His research emphasizes improving energy density, safety, and recyclability while commercializing innovations through ventures like Ascend Elements and AM Batteries. He holds a BS from Tianjin University (2001), MS from Tianjin University (2004), PhD from University of Windsor (2009), and a postdoc at MIT (2010). Research interests include battery electrode design, battery recycling processes, and fundamental electrochemistry. He has pioneered closed-loop recycling strategies and developed dry-powder electrode manufacturing to reduce toxic solvents. His work aligns with federal initiatives in clean energy, including solar panel recycling funded by federal grants. Awards: 2024 Boston Globe Tech Power Players 50, TIME Top GreenTech Company recognition (2024), William Smith Foundation Professorship Commercialization: Cofounded Ascend Elements (battery recycling) and AM Batteries (dry-powder electrode tech) Recent Milestones: 2024 Poland recycling plant deal, Georgia plant operational since 2023, $1.2M steel innovation grant (2024) Labs/Teams: Electrochemical Energy Laboratory at WPI, collaborating with industry partners on battery tech and medical imaging systems. His work spans academic research and industrial applications, with patents in additive-manufactured electrodes and ultrasonic motor designs.

Mark MoldwinView profile

Professor

• Space Physics
• Magnetospheric Physics
• Ionospheric Physics
• +5 more

Mark Moldwin is the Arthur F. Thurnau Professor of Climate and Space Sciences and Engineering at the University of Michigan’s College of Engineering. He holds affiliations with the Space Physics Research Laboratory, Engineering Education Research program, African Studies Center, Michigan Institute for Plasma Science and Engineering, and Robotics Institute. As Faculty Director of UM’s Office of Postdoctoral Affairs and M-STEM’s M-Engin program, he leads initiatives in postdoctoral development and engineering education. His research focuses on space physics, including magnetospheric dynamics, plasma physics, and magnetometer technology, with over 200 peer-reviewed articles and four patents. Moldwin is a recipient of the NSF CAREER Award, AGU Waldo E. Smith Award, and 2024 STAR Award. He actively promotes DEI in STEM through educational outreach and has advised over 50 Ph.D. students across multiple disciplines. His work extends to planetary science via NASA’s Geospace Dynamics Constellation (GDC) and the HERMES payload on the Lunar Gateway. Education Ph.D. in Astronomy/Space Physics, Boston University (1992) B.A. in Physics with Honors, University of Alaska-Fairbanks (1987) Research Interests Moldwin’s work explores energy transfer from the Sun to Earth’s space environment, including magnetic structures, ULF waves, and plasma distribution in the magnetosphere. He develops advanced magnetometers for space missions (e.g., NASA’s Artemis Lunar Gateway, GDC) and ground-based arrays. His educational initiatives address inclusive mentoring, teacher training, and DEI in STEM, supported by NASA’s Michigan Space Grant Consortium and UM’s Office of Postdoctoral Affairs. Recent efforts include mental health advocacy and reimagining postdoctoral training in Earth and space sciences. Grants & Awards National Science Foundation CAREER Award Research Corporation Cottrell Scholar AGU Waldo E. Smith Award (2016) UM CoE Trudy Huebner Service Excellence Award (2020) Advising & Labs As a mentor, Moldwin has guided over 50 Ph.D. students in Geophysics, Space Physics, and Plasma Physics. He co-founded A2 Motus LLC, a company developing educational tools for kinesthetic learning in complex systems. His research groups collaborate on missions like NASA’s GDC and HERMES, focusing on heliospheric measurements and lunar science. He also chairs UM’s M-STEM program, fostering multidisciplinary engineering education.

• Semiconductor Optoelectronics
• Nanotechnology
• Nanowire Technology
• +5 more

Dr. Mykhaylo Lysevych is a Research Fellow in the Electronic Materials Engineering Department at the Research School of Physics and Engineering, Australian National University (ANU). He is a member of the Semiconductor Optoelectronics and Nanotechnology research group, working closely with Professor Jagadish and Professor Tan on advanced semiconductor materials and devices. His research focuses on semiconductor nanowires, particularly GaN, GaAs, and InP-based structures, with emphasis on nanowire growth, optoelectronic properties, and device applications. Dr. Lysevych's work spans fundamental materials science to practical applications in sensors, lasers, and photonic devices. His recent publications demonstrate expertise in nanowire array sensors for medical and environmental monitoring, nanowire lasers, quantum well structures, and nonlinear optical phenomena in semiconductor nanostructures. Analysis of his 15 most recent publications reveals a strong focus on III-V semiconductor nanowires, with particular expertise in growth techniques, optical characterization, and device integration. His work bridges materials science, photonics, and nanotechnology, with applications ranging from healthcare monitoring to advanced optical communications. Dr. Lysevych has collaborated extensively with researchers across multiple institutions, demonstrating strong interdisciplinary connections within the semiconductor research community. His work shows consistent productivity with publications in high-impact journals including Advanced Science, Nano Letters, ACS Nano, and Nanoscale.

• Remote Sensing
• Space Physics
• Signal and Image Processing
• +5 more

Professor Farzad Kamalabadi is a faculty member at the University of Illinois at Urbana-Champaign in the Department of Electrical and Computer Engineering . He holds affiliate appointments in the Department of Statistics and has served as Invited Visiting Professor at INRIA/CNRS. His research spans remote sensing, space physics, signal processing, and computational imaging . 2011-present: Full Professor, UIUC 2006-2011: Associate Professor, UIUC 2000-2006: Assistant Professor, UIUC 2009-2010: Invited Visiting Professor at Universite de Nice Sophia Antipolis Research interests include remote sensing , space physics , statistical inference , and switching dynamical systems . His work on graph-based clustering for SLDS has enabled efficient model reduction in high-dimensional systems. Scientific contributions appear in IEEE Signal Processing Letters , The Astronomical Journal , and Radio Science . Notable papers include Bayesian Exoplanet Detection (2020), Optimal Sensor Configuration (2008), and 3D Solar Corona Tomography (2009). 2020: NASA Group Achievement Award for ICON mission 2015: Center for Advanced Study Associate 2006: Xerox Award for Outstanding Faculty Research 2002: NSF CAREER Award Editorial roles : Associate Editor, IEEE Signal Processing Letters (2013-2017) Guest Editor, IEEE Signal Processing Magazine (2009) Teaching includes Digital Signal Processing , Optimization , and Pattern Recognition , with multiple recognitions in the Engineering Council Award and List of Excellent Teachers .

Jordan MalofView profile

Adjunct Assistant Professor

• Machine Learning
• Computer Vision
• Remote Sensing
• +2 more

Jordan Malof is an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. He conducts interdisciplinary research applying advanced signal processing, computer vision, and machine learning (particularly deep learning) techniques to real-world problems in remote sensing, energy systems, and materials science. His notable awards include the 2022 Bass Connections Award for Outstanding Leadership at Duke University. He has taught courses such as ENERGY 795T: Bass Connections Energy & Environment Research Team and ECE 292: Projects in Electrical and Computer Engineering. Malof's research spans several key areas: Remote Sensing Applications Deep Learning for Electromagnetic Materials Energy Infrastructure Mapping Computer Vision in Geospatial Analysis Material Science Modeling AI-Driven Solar Energy Assessment His recent publications in premier venues like NeurIPS and WACV demonstrate expertise in: Physics-informed neural networks Metamaterial design optimization Domain adaptation techniques Energy security assessment frameworks Computational electromagnetics Geospatial data analysis Scientific awards: 2022 Bass Connections Award for Outstanding Leadership Malof's collaborative approach involves working with domain experts across disciplines to develop novel AI methodologies for complex engineering challenges, particularly in energy systems and electromagnetic material design.

• Autonomous vehicles
• Drones
• Embedded systems
• +12 more

Marcello Chiaberge is an Associate Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. He serves as Coordinator of the Interdepartmental Center for Service Robotics (PIC4SeR) and oversees quality management for the Master's Degree in Mechatronic Engineering. With over 110 publications and 9 international patents, his work bridges academic research and industrial applications in robotics and electronics. Research Interests span a wide array of fields including Autonomous vehicles Drones Embedded systems Precision agriculture Search and rescue robotics Simultaneous localization and mapping (SLAM) Smart cities infrastructure His projects often integrate machine learning with hardware acceleration, focusing on real-time solutions for robotics applications. Recent Publications highlight his contributions to: Deep reinforcement learning for robot navigation Hybrid MPPT algorithms for solar energy optimization UAV-based remote sensing in agriculture Transformer architectures for action recognition Hardware-accelerated computer vision systems Research Leadership is evident in his coordination of PIC4SeR and principal investigator roles in projects like: HERITALISE (2025-2028) - Cultural heritage digitization EMPATHY (2024-2026) - Empathetic mobility platforms NG-UWB (2019-2023) - Next-generation localization systems MArcEL (2019-2022) - Electric agricultural machinery His teaching includes courses on electronic fundamentals and mechatronic systems, all delivered in English at the Master's level. He has served as doctoral consortium member since 2002 and currently supervises multiple PhD candidates in electronics and mechatronics fields.

Domenico PacificiView profile

Associate Professor

• Nanophotonics
• Plasmonics
• Optoelectronics
• +4 more

Domenico Pacifici holds dual appointments as Associate Professor of Engineering and Physics at Brown University , while serving as Director of the Nanofabrication Central Facility . He maintains active affiliations as CNST Visiting Fellow at NIST and Visiting Associate Professor at University of Maryland College Park . Education: M.Sc. in Physics (2000, University of Catania, summa cum laude) Ph.D. in Physics (2004, University of Catania, summa cum laude) Postdoctoral Scholar at Caltech (2005-2009) His research establishes foundational advancements in nanophotonics and plasmonics through: Plasmonic interferometry for optical coherence measurement Germanium quantum dot photodetectors with unprecedented efficiency Quasiperiodic plasmonic concentrators for solar energy harvesting CMOS-integrated biochemical sensors with ppm-level sensitivity Carrier transport optimization in quantum-confined systems Surface plasmon polariton-based light management Recent article analysis reveals: Breakthroughs in nanoscale optical coherence (2016-2021) Innovations in quantum dot optoelectronics (2011-2021) Advancements in plasmonic light trapping (2008-2015) Scientific accolades include: Henry Merritt Wriston Fellowship (2013) Richard B. Salomon Faculty Research Award (2010) STMicroelectronics Best PhD Thesis (2004) Accademia Gioenia Best MSc Thesis (2001) His research group has received $2.2M+ in grants from NSF, ONR, JDRF, and university awards. Notable students include Jing Feng , Pei Liu , and Patrick Flanigan .

Kypros MilidonisView profile

Assistant Professor

• Renewable Energy Technologies
• Solar Energy Systems
• Energy Conversion
• +6 more

Kypros Milidonis is an Assistant Professor in the Energy Department of the Energy, Environment, and Water Research Center (EEWRC) at the Cyprus Institute (CYI). His expertise spans renewable energy technologies, with a focus on solar energy systems, advanced energy conversion, and computational engineering. He holds an integrated Master’s Degree (2008) and a doctorate (2014) in Mechanical Engineering and Aeronautics from the University of Patras. Prior to joining CYI, he worked as a Research Associate at the University of Cambridge (2015-2018), focusing on energy conversion systems. Dr. Milidonis leads research projects spanning theoretical development (TRL 1-4) to pre-industrial applications (TRL 5-7), emphasizing solar energy innovation. His work includes optimizing heliostat fields, anti-soiling strategies, UAV-assisted monitoring, and AI-driven design. He actively collaborates with industry and manages international projects, such as SolarPACES Task III. His research integrates interdisciplinary approaches, combining mechanical engineering, computational modeling, and material science. Key contributions include advancements in heliostat field optimization, solar receiver design, and the application of unmanned aerial vehicles (UAVs) in solar plant maintenance. His publications span solar thermal systems, computational tools like SunPATH and fluxtracer, and historical engineering reconstructions (e.g., ancient Greek artifacts). He is a Principal Investigator and coordinator, emphasizing translational research bridging academia and industry.

• Sensor Technology
• Internet of Things (IoT)
• Machine Learning Applications
• +3 more

Valerio Vignoli è Professore Ordinario presso il Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche della University of Siena, con research focus su sensoristica avanzata, Internet of Things, e applicazioni di machine learning in sistemi di monitoraggio ambientale e biomedico. La sua attività didattica include insegnamenti su Elettronica Applicata e Elettronica II per il corso di laurea in Ingegneria Informatica e dell'Informazione.

• Nanotechnology
• Materials Science
• Biomedical Sensors
• +4 more

Professor Antonio Tricoli is a leading researcher in the Faculty of Engineering at the University of Sydney, specializing in Nanotechnology and Biomedical Engineering . He directs the Nanotechnology Research Laboratory and serves as Associate Editor for the Chemical Engineering Journal . His work bridges light-matter interactions and multi-scale interface engineering for applications in Personalized Medicine and Renewable Energy . Education: B.Sc. and M.Sc. in Mechanical and Process Engineering, PhD in Nanotechnology from ETH Zurich Leadership: Co-chair of the 2017 ANU Grand Challenge program "Our Health in Our Hands" Affiliations: Member of The Net Zero Institute and The University of Sydney Nano Institute Research Interests: His work spans Biomedical Sensors for disease monitoring, Renewable Energy systems like solar fuel production, and Nanomaterials with tailored electrochemical properties. Recent projects focus on Nanoscale Architectures for enhanced gas/chemical detection and Stable Catalysts for water splitting and CO2 reduction. Scientific Contributions: He has received prestigious awards including the 2010 HILTI Prize for innovative PhD work and 2020 ARC Future Fellowship . His team has developed self-powered nanosensors and ultraporous coatings for industrial applications. Advising & Grants: Actively supervises PhD students in areas like Green Hydrogen Production and Nanopore Reactors , with funding from ARC and Westpac. Collaborates across STEM and HASS disciplines to advance transformative health technologies.

Alicia Petronela RambuView profile

Researcher

• Nonlinear Optics
• Optical Waveguides
• Proton Exchange Techniques
• +5 more

Dr. Alicia Petronela Rambu is a Senior Researcher III at the Department of Exact Sciences and Natural Sciences within the University of Al. I. Cuza. Her research focuses on the fabrication and characterization of nonlinear optical materials, particularly lithium niobate waveguides using advanced proton exchange techniques such as HiVac-VPE and SPE. She specializes in optimizing refractive index profiles, exploring functional oxide materials, and studying thin films for applications in sensing, solar cells, and integrated optics. Key techniques: Spin coating, photolithography, E-field poling, M-lines analysis Materials expertise: Lithium niobate (LiNbO₃), ZnO, doped oxides Her work emphasizes structural, optical, and electrical characterization of materials, with contributions to high-index contrast waveguide design and functional oxide thin films. Recent studies include thermal treatment effects on waveguides, spontaneous polarization reversal, and Fenton reaction catalysis using iron oxide nanomaterials. She collaborates within the RAMTECH Center and has published extensively in optoelectronics and materials science.

• Computational Structural Dynamics
• Railway Systems
• Very Large Floating Structures
• +6 more

Dr. Jian Dai is an Associate Professor and Head of Studies for Civil Engineering at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Built Environment. His research focuses on computational structural dynamics, railway systems, and very large floating structures, with applications to marine renewable energy systems and infrastructure dynamics. He holds a PhD from the National University of Singapore (2015) and a BEng from Tongji University (2009). Key research areas include hydroelastic analysis of floating photovoltaic systems, train-track interaction dynamics, and wave-structure interaction modeling. He leads the Net-Zero Future project aiming to reduce carbon footprints in built environments. He is a member of structural engineering research groups and has contributed to over 56 peer-reviewed publications. Current projects involve offshore floating solar arrays, submerged floating tunnel dynamics, and corrosion monitoring in suspension bridges. His work integrates experimental methods, numerical modeling, and machine learning for infrastructure resilience and sustainable energy solutions.

• Space Physics
• Ionosphere Physics
• Magnetosphere Physics
• +6 more

Professor Colin Waters is a renowned experimental physicist and academic at the University of Newcastle, Australia. He currently holds a Professorship in the School of Mathematical and Physical Sciences and previously served as Head of School (2017–2018). Waters is Director of the University's Centre for Space Physics and leads Tentacle CMI, a data analytics company. His expertise includes space weather, magnetosphere-ionosphere coupling, and plasma physics diagnostics using ultralow-frequency (ULF) waves. Education: PhD in Physics, University of Newcastle (1990) Bachelor of Science (Honours), University of Newcastle Bachelor of Education and Physics, Avondale College Research Interests: Waters’ work focuses on understanding solar-terrestrial interactions through plasma wave analysis. He pioneered the cross-phase technique for magnetospheric remote sensing, now used globally. Key areas include: ULF wave dynamics and their effects on the ionosphere Geomagnetic-induced currents impacting infrastructure Auroral current systems and energy deposition Applications of Iridium satellite data and SuperDARN radar systems Risks of space weather to power grids and pipelines Radio astronomy challenges with the Square Kilometre Array (SKA) His research integrates computational models (e.g., 3D MHD simulations) with experimental data from satellites and ground instruments. Collaborations & Grants: Co-Investigator on the AMPERE project with Johns Hopkins University ARC-DP grants totaling ~$4M Partnerships with the Bureau of Meteorology and Australian Energy Market Operator International collaborations in Canada, the UK, Japan, and the US Labs & Teams: Directs the University's Centre for Space Physics and works with global teams on projects like the CubeSat mission and MICE initiative. Active in designing magnetometers (e.g., NewMag payload on FedSat) and optimizing HF radar systems.