جست‌وجوی استاد و پژوهشگر

• Dwarf spheroidal galaxies
• Stellar populations
• Galactic chemical evolution
• +۷ مورد دیگر

Eline Tolstoy is Professor of Astronomy at the University of Groningen , Faculty of Science and Engineering. She leads a research program devoted to understanding the formation and evolution of dwarf spheroidal galaxies through detailed chemo-dynamical studies of resolved stellar populations. Research Interests Tolstoy’s work centers on the astrophysics of dwarf galaxies , using multi-wavelength, high-resolution spectroscopic data to trace star-formation histories, metallicity evolution, and dark matter content. Her expertise spans: Dwarf spheroidal galaxy dynamics and dark matter halos Chemical tagging of stellar populations via spectroscopic surveys Star formation histories inferred from color-magnitude diagrams and spectroscopy Next-generation instrumentation (WEAVE, WST, Euclid, MICADO) Galactic archaeology and near-field cosmology Recent Research Trends Recent publications demonstrate a strong focus on 3D chemo-dynamical mapping of Local Group dwarf galaxies, leveraging Gaia astrometry and VLT/FLAMES spectroscopy to derive precise kinematics and metallicities for thousands of individual stars. Collaborative papers on the WEAVE and WST facilities highlight her leadership in designing future wide-field spectroscopic surveys that will extend these studies to larger galactic samples and higher redshifts. Scientific Awards George Darwin Lectureship, Royal Astronomical Society (2013) Pastor Schmeits Prize (2007) NWO VICI Research Grant under the Innovational Research Incentives Scheme (2007) Data, Grants & Collaborations Tolstoy has secured major funding through the highly competitive NWO VICI program and participates in large international consortia including the Euclid space mission, the WEAVE spectroscopic survey, and the MICADO first-light imager for the ELT. She has released 31 curated datasets via the Strasbourg and Groningen astronomical data centers, underpinning reproducibility and open science. Labs & Teams She heads a dynamic research group within the Kapteyn Astronomical Institute at Groningen, supervising post-docs, PhD students, and international visitors. The group operates at the intersection of observation, theory, and instrumentation, fostering strong collaborations with ESO, ESA, and institutes across Europe and North America.

Ram Bilas Pachoriمشاهده پروفایل

استاد

• Signal Processing
• Biomedical Signal Processing
• Artificial Intelligence
• +۴ مورد دیگر

Prof. Ram Bilas Pachori is a full Professor in the Department of Electrical Engineering at the Indian Institute of Technology Indore, India. He holds the academic rank of Professor (HAG) and has served in this position since 2023. His research focuses on signal and biomedical signal processing, AI-driven healthcare systems, and neural engineering. He has held visiting professorships at institutions like the Free University of Berlin (2022), University of Malta (2023), and University of Calabria (2023). His professional memberships include Fellowships with IEEE, IET, IETE, and AAIA. He has authored over 190 journal articles, several books, and holds multiple patents in healthcare technology and signal processing. His work emphasizes applications in EEG/ECG analysis, brain-computer interfaces, and wearable health monitoring devices. Research interests span non-stationary signal analysis, machine learning for medical diagnostics, and IoT-based healthcare systems. His contributions include innovative methods like Fourier-Bessel series expansion and empirical wavelet transform for biomedical signal processing. Key awards include Fellowships from IEEE and AAIA. His labs focus on advancing signal processing techniques for clinical applications such as glaucoma diagnosis, myocardial infarction detection, and epilepsy classification.

• Spacecraft Design
• Aerospace Engineering
• Astrodynamics
• +۴ مورد دیگر

Dr. Vittorio FRANZESE is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SPASYS department. His work focuses on CubeSat technology, autonomous space systems, and deep-space exploration. He leads projects like the POQUITO PocketQube mission and the LUMIO lunar CubeSat, aiming to advance miniaturized satellite capabilities for interplanetary navigation and meteoroid impact monitoring. Key research areas include spacecraft autonomy, optical navigation algorithms, and mission design for CubeSats. He has contributed to initiatives such as the ERC-funded EXTREMA project, developing self-driving interplanetary CubeSats. His technical expertise spans satellite systems engineering, trajectory optimization, and sensor development for space applications. Publications highlight advancements in laser communication terminals, asteroid mission analysis, and swarm satellite technologies. Collaborative efforts include the Hera Milani CubeSat mission for asteroid exploration. His work bridges theoretical research with practical implementation, emphasizing innovation in low-cost space technologies.

Ram V Iyerمشاهده پروفایل

استاد

• Systems and Control Theory
• Smart Materials and Structures
• Hysteresis Modeling
• +۵ مورد دیگر

Ram V. Iyer is a Professor in the Department of Mathematics and Statistics at Texas Tech University (College of Arts and Sciences). His research spans systems and control theory, smart materials modeling, biomedical optics, and cybersecurity of networked critical infrastructure systems. Education: Indian Institute of Technology, Bombay (undergraduate scholarship 1986-1990) Appointments: Program Committee roles (SPIE, IEEE, SIAM) and editorial/reviewing duties Research interests include: Smart Materials: Hysteresis modeling in magnetostrictive actuators, energy harvesting schemes with University of Sannio. Biomedical Applications: Custom contact lenses for keratoconic patients, smoothing spline methods for corneal reconstruction, low-Reynolds capillary flow analysis. Cybersecurity: Physical constraints-based defense for infrastructure systems (pipelines, smart grids). Control Systems: Hypersonic/autonomous vehicle control, insect-vision inspired navigation sensors. Recent publications focus on corneal imaging algorithms, hysteresis compensation, UAV control under wind conditions, and biharmonic modeling for contact lenses. Scientific awards include multiple Air Force Fellowships, Phi Beta Kappa Professor of the Year (2008, 2015, 2018), and NSF grants for cybersecurity and biomedical research. Advises PhD and MS students in control theory, magnetostrictive systems, and ocular aberration correction. Collaborates with University of Sannio (Italy) through the MATH in ITALY program, teaching math courses in Benevento while incorporating cultural excursions (Pompeii, Amalfi Coast). Holds inventions like the Hybrid Motor and patents related to contact lens design.

Jonathan Englandمشاهده پروفایل

استاد

• Ion Implantation Technology
• Semiconductor Materials
• Quantum Computing
• +۵ مورد دیگر

Professor Jonathan England is a faculty member at the University of Surrey's School of Computer Science and Electronic Engineering, holding the title of Professor of Ion Implantation Technology since 2017. With over 25 years in the semiconductor industry, he specializes in ion implantation technology, advanced materials science, and quantum computing. His research focuses on ion beam processing, semiconductor device fabrication, and isotopic layer enrichment for quantum computing. Education: Earned degrees in physics and nuclear physics from the University of Manchester. Early career involved ion beam applications in isotope mass spectrometry at Vacuum Generators and Columbia University. Research interests include modeling ion beam interactions with nanostructures, advanced metrology techniques, and applying these to diverse fields such as quantum materials and optoelectronics. Notable projects include developing isotopically pure silicon layers for quantum computers and investigating resistive random-access memory (ReRAM) devices. Publications (2024 highlights): Explored hydrogen's role in ReRAM operation, atomic dispersion in nanoparticle systems, and crystallization kinetics for quantum-grade silicon. Active in 3D materials characterization using ensemble RBS and TOF-ERD systems. Awards: No specific prizes mentioned, though his contributions to ion implantation and quantum materials research are recognized in the field. Grants and collaborations: Industrial mentor for EU SPIRIT Programme and projects at Surrey, Southampton, and Cambridge Universities. Active in semiconductor industry partnerships. Labs: Leads research at the UK National Ion Beam Centre, focusing on advanced ion beam applications and materials analysis.

Adriana Durbalaمشاهده پروفایل

استاد

• Extragalactic Astronomy
• Astrophysics
• Radio Astronomy
• +۳ مورد دیگر

Adriana Durbala is a Professor in the Department of Physics and Astronomy at the University of Wisconsin-Stevens Point, where she has been teaching since 2009. She serves as the Coordinator of the Astronomy minor and is deeply committed to undergraduate education and research mentorship. Durbala is an active member of the Undergraduate ALFALFA Team, a collaborative network of 25 institutions promoting student research in radio astronomy. Her educational background includes a Ph.D. in Physics from the University of Alabama-Tuscaloosa, and M.S. and B.S. degrees in Physics from the University of Bucharest, Romania. Durbala's research centers on extragalactic astronomy and astrophysics, with emphasis on optical and radio observations of galaxies. She explores galaxy evolution, neutral hydrogen content, and environmental effects in galaxy groups. Her work often involves large survey data and cross-matching techniques to understand galaxy properties and star formation. The recent publications reflect a strong trend in galaxy catalog development, astronomical data integration, and educational resource creation. Her research spans observational astrophysics and pedagogical innovation, particularly in undergraduate astronomy education. UW-Stevens Point University Scholar Award (2022) Durbala actively mentors students through classroom teaching and summer research opportunities at the Green Bank Observatory. She has played a key role in developing the Astronomy minor curriculum and advancing undergraduate research experiences. While specific grants are not mentioned, her leadership in national collaborative programs indicates significant involvement in funded educational and research initiatives. She is involved in the Undergraduate ALFALFA Team, a large-scale collaborative effort supporting student research in radio astronomy across multiple institutions.

Yifan Maiمشاهده پروفایل

پژوهشگر ارشد

• Galaxy Evolution
• Galaxy Kinematics
• Interstellar Medium
• +۵ مورد دیگر

Yifan Mai is a Postdoctoral Research Fellow at Macquarie University's Australian Astronomical Optics, Astrophysics and Space Technologies Research Centre, specializing in galaxy evolution, kinematics, and interstellar medium dynamics. Her work investigates spatially resolved gas turbulence evolution over 8 billion years and metallicity distributions in galaxies at redshift z ~ 0.3, with additional focus on environmental impacts like ram-pressure stripping in dense clusters. Her research encompasses: Evolution of ionized gas turbulence and metallicity gradients Ram-pressure stripping effects on galaxy metallicity MAVIS instrument science case development using high-resolution simulations Cross-disciplinary collaboration on knee osteoarthritis meta-analysis Recent publications (2022-2025) from the MAGPI and SAMI surveys reveal critical insights into galaxy kinematics, gas dynamics, and environmental interactions. Key trends include the role of black hole feedback in galaxy spin-filament alignments, drivers of gas turbulence in intermediate-redshift galaxies, and the relationship between galaxy rotation and neighboring structures, leveraging both observational data and cosmological simulations. No scientific awards are documented in the provided information. Details regarding student advising or grant funding are not specified in the available materials. Dr. Mai actively contributes to the MAVIS instrument science team and maintains a collaborative partnership with medical researchers from the University of Sydney and University of Chinese Medicine for systematic review meta-analysis.

• Astronomy
• Astrophysics
• Galaxy Formation and Evolution
• +۵ مورد دیگر

Sune Toft is a Professor at the Niels Bohr Institute , University of Copenhagen, and a key member of the Cosmic Dawn Center (DAWN) . His research focuses on galaxy formation, evolution, and cosmology, particularly through observations of high-redshift galaxies using the James Webb Space Telescope (JWST) and Euclid mission data. Education: PhD in Astronomy, 2003 Research Interests include galaxy mergers, dark matter halos, stellar mass assembly, and photometric redshift calibration. He leads major projects like the COSMOS-Web and DAWN JWST Archive , analyzing galaxy morphology and clustering across cosmic time. His work with the Euclid Collaboration spans instrument calibration, mock catalogues, and early universe studies. Scientific Contributions highlight trends in galaxy interactions, disk instabilities, and tidal disruption events. His peer review activities extend to journals like The Astrophysical Journal Letters and Monthly Notices of the Royal Astronomical Society . Press/media coverage includes the 2017 Hubble discovery of a 'massive dead disk galaxy' challenging galaxy evolution theories, with ongoing media engagement via blogs, social media, and Mendeley discussions.

Fabio Morbidiمشاهده پروفایل

دانشیار

• Robotic Vision
• Multi-robot Systems
• Event-Based Perception
• +۳ مورد دیگر

Fabio Morbidi is an Associate Professor (Maître de Conférences HDR) at the Université de Picardie Jules Verne (UPJV), France, where he heads the Robotic Perception group at the MIS laboratory since 2022. His office is located at 33 Rue Saint-Leu, Amiens. He holds a Ph.D. in Robotics and Automation from the University of Siena (2009) and conducted postdoctoral research at Northwestern University, University of Texas at Arlington, and Inria Grenoble. His research focuses on multi-robot systems, event-based vision, autonomous vehicles, and assistive robotics. Research interests span robotic vision, distributed control, and sensor fusion for applications in exploration, wheelchair assistance, and drone technology. His work emphasizes real-world implementations, such as the SpheriCol driving assistant for power wheelchairs and event-based perception for autonomous vehicles. Awards include ICRA'25 Best Paper Award Finalist and contributing to an IEEE RAM issue that received the APEX 2024 Awards of Excellence. He actively advises PhD students and coordinates ANR projects (e.g., CERBERE, DEVIN) focused on robotic perception. He serves as Associate Editor for IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

Szabó Gézaمشاهده پروفایل

دانشیار

• Transportation Safety Systems
• Air Traffic Control Safety
• Railway Traffic Safety
• +۴ مورد دیگر

Szabó Géza is an Associate Professor at the Department of Control for Transportation and Vehicle Systems within the Faculty of Transportation Engineering and Vehicle Engineering at Budapest University of Technology and Economics. He has been continuously affiliated with the institution since 1993, progressing from assistant lecturer to his current position. His office is located at H-1111 Budapest, Stoczek u. 2., Building St., Room 115. His educational background includes an MSc in Electrical Engineering (1993), an MSc in Economic Engineering with Information Management specialization (1997), and a PhD in Technical Sciences, Mechanical Engineering (Vehicles and Mobile Machines) awarded in 2009. His doctoral dissertation focused on Management of RAMS parameters of high-safety transportation subsystems . Dr. Szabó's research concentrates on transportation safety systems with particular expertise in air traffic control safety, railway traffic safety, and human factors in transportation systems. His work addresses risk assessment methodologies, airspace capacity calculations incorporating human behavior, and security diagnostics of transportation infrastructure. He has made significant contributions to safety certification of railway systems and air traffic control technologies. His professional recognition includes the Mikó Imre Award in the active professional category (2021) from the Hungarian Academy of Sciences, awarded for his educational activities in railway technology, research, conformity assessment, risk analysis, safety assessment activities, and publications focusing on railway transport safety equipment. Member of Hungarian Chamber of Engineers (MMK) IEEE Reliability Society member IEEE Aerospace and Electronic Systems Society member IEEE Intelligent Transportation Systems Society member Chairman of the Railway Technical Committee Control, Command and Signal (CCS) Subcommittee Dr. Szabó teaches Electrical Engineering, Electronics-Electronic Measurement Systems at MSc level, Rail/Air/Road Traffic Control and Communication Systems, and Vehicle-Track Information Connection courses. He actively supervises doctoral research and has served as supervisor for multiple railway system qualification certifications including ALISTER electronic station interlocking, MA-IFF LED light sources, MES SLED LED Optics, MIREL train control system, and others.

Manoj Choudharyمشاهده پروفایل

استاد مدعو

• Transport Phenomena in Materials Processing
• Computational Fluid Dynamics
• Radiative Heat Transfer in Participating Media
• +۶ مورد دیگر

Manoj Choudhary is an Adjunct Professor in the Department of Materials Science and Engineering at The Ohio State University, USA. He holds a B. Tech. (Honors) in Chemical Engineering from Indian Institute of Technology, Kharagpur; an M.S. in Chemical Engineering from the State University of New York at Buffalo; and a Sc.D. in Materials Science & Engineering from the Massachusetts Institute of Technology (MIT). Educational Background: B. Tech. (Honors), Chemical Engineering, Indian Institute of Technology, Kharagpur M.S., Chemical Engineering, State University of New York at Buffalo Sc.D., Materials Science & Engineering, Massachusetts Institute of Technology Research Interests: Dr. Choudhary specializes in advanced materials processing, with expertise in transport phenomena , computational fluid dynamics (CFD) , radiative heat transfer in participating media , and materials thermodynamics . His work spans glass/minerals melting, polymeric foam extrusion, and sustainable energy practices in materials production, integrating electromagnetic processing techniques like metallurgical magnetohydrodynamics (MHD) . Scientific Awards and Honors: Fellow, Society of Glass Technology (UK) Fellow, American Ceramic Society (ACerS) Prof. S. K. Nandi Gold Medal, IIT Kharagpur Institute Silver Medal, IIT Kharagpur Falih N. Darmara Materials Achievement Award, MIT Arthur L. Friedberg Ceramic Engineering Tutorial and Lecture Award, ACerS ICG President's Award Dr. Atma Ram Memorial Lecture Award, Central Glass and Ceramic Research Institute (India) Samuel R. Scholes Lecture Award, Alfred University Varshneya Frontiers of Glass Technology Award, ACerS M. G. Bhagat Memorial Lecture Award, Indian Ceramic Society C. K. Somany Award for Excellence, All India Glass Manufacturers' Federation AGC/Professor Michael Cable Memorial Lecture Award, Society of Glass Technology Owens Corning's highest technical achievement awards (five times) L. David Pye Lifetime Achievement Award, ACerS Academician, World Ceramic Academy Professional Leadership: Dr. Choudhary has led prominent organizations, including the International Commission on Glass (ICG), the Glass and Optical Materials Division of ACerS, and the Glass Manufacturing Industry Council (founder). He chaired the North American Steering Committee for the United Nations' International Year of Glass (2021-2022) during his ICG presidency. Industry Contributions: Prior to Ohio State, he spent 36 years at Owens Corning (1982-2018) as a Senior Technical Staff member, focusing on glass fibers, polymers, and sustainability. His work integrated scientific analysis with computational modeling to drive process innovations.

• Structural Analysis
• Materials Characterization
• Turbulent Fluids Simulation
• +۵ مورد دیگر

Luis Rodriguez is a Professor at the Coulter School of Engineering & Applied Sciences, Department of Mechanical & Aerospace Engineering, at Clarkson University. He earned his Ph.D. in Mechanical Engineering from the University of Texas at El Paso (2020) and holds a B.Sc. in Mechanical Engineering from Monterrey Institute of Technology (1996). Prior to joining Clarkson, he spent 12 years as a design engineer at Chrysler Motors, contributing to the Dodge Ram models (1997–2008), and served as Director of the Mechanical & Automotive Design Engineering program at Monterrey Institute of Technology. His research bridges industry and academia, focusing on structural analysis, materials characterization, turbulent fluid simulation, and heat transfer analysis. He has published extensively on atmospheric turbulence, machine learning applications, and computational fluid dynamics, with recent work in 2024 exploring physics-informed neural networks and boundary layer transitions. Education: Ph.D., Mechanical Engineering (2020), University of Texas at El Paso B.Sc., Mechanical Engineering (1996), Monterrey Institute of Technology Notable awards include receiving the Professor of the Year in Fall 2015 at Monterrey Institute of Technology. His teaching portfolio includes courses such as Introduction to Engineering Design, Geometric Dimensioning and Tolerances, and Fluid Mechanics, integrating industry standards into academic practice.

Panagiotis Rizomiliotisمشاهده پروفایل

استادیار

• Cryptography
• IoT Security
• Cloud Security
• +۷ مورد دیگر

Panagiotis Rizomiliotis is an Assistant Professor at the Harokopio University of Athens and a Security Researcher with a focus on Cryptography . He also serves as a Member of the Plenary at the Hellenic Authority for Communication Security and Privacy . Education: BSc in Informatics and Telecommunications (1997) from the University of Athens, Greece, with 8.55/10 (Honours) MSc in Electronics and Radioelectrology (1999) from the University of Athens, with 8.05/10 PhD in Cryptography (2005) from the University of Athens, with 10/10 (Honours) Research Interests include cryptography, IoT security, cloud security, database security, and privacy protection. He has contributed to lightweight authentication protocols, hardware-driven security, GDPR compliance, and secure outsourcing of databases. Notable Article Trends show expertise in cryptographic protocols for cloud and IoT environments, security analysis of RFID systems, and mathematical foundations of Boolean functions. His work spans searchable encryption, oblivious RAM, chaos-based optical cryptography, and algebraic immunity. Service Roles include committee/reviewer positions for scientific journals and conferences like ACM CCSW, IEEE GlobeCom, and ACNS. He has also served as an advisor to the Ministry of Administrative Reform and E-Governance of Greece .

• Solid State Memory
• Ionics
• Non-Volatile Memories
• +۳ مورد دیگر

Michael Kozicki is a Professor and Graduate Program Chair in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), and a Senior Global Futures Scientist in the Julie Ann Wrigley Global Futures Laboratory. He joined ASU in 1985 and holds adjunct roles at the University of Edinburgh and Gwangju Institute of Science and Technology. His research focuses on novel materials and devices for memory technologies, supply chain security, and radiation-hardened systems. He has over 70 patents and founded multiple startups, translating lab innovations into commercial products. Notable awards include the 2015 National Academy of Inventors Fellowship and the 2019 Daniel Jankowski Legacy Award. He has led ASU's Center for Solid State Electronics Research and contributed to entrepreneurial programs. Education: Ph.D. and B.Sc. in Electronics and Electrical Engineering from the University of Edinburgh (1980, 1985). Research interests include solid-state memory, ionics, and programmable metallization cells (PMCs). His work bridges microelectronics with applications in cybersecurity and space technology. Recent projects involve dendritic identifiers for authentication, radiation-resistant memristors, and low-energy non-volatile memories. Publications span memristive systems, PUFs, and nano-identifiers, reflecting a trend toward secure, scalable electronics. His 15 most recent articles (2022–2025) emphasize nanostructuring, machine learning-driven authentication, and quantum conductance in devices. Scientific Awards: 2019 Daniel Jankowski Legacy Award, 2019–2020 Joseph C. Palais Scholar Award, Fellow of the National Academy of Inventors. Advising and grants include leadership in ASU's graduate programs and over 25 funded projects from NSF, NASA, DOD, and industry partners, totaling millions in research support. Notable grants focus on radiation effects in memristors and neuromorphic applications. Labs and collaborations involve the Center for Solid State Electronics Research (NanoFAB), interdisciplinary teams in optical biomolecular devices, and global partnerships in materials science.

Yasser Rezaeiyanمشاهده پروفایل

پژوهشگر

• Neuromorphic Computing
• Spintronics
• Biomedical Circuits
• +۳ مورد دیگر

Yasser Rezaeiyan is a Senior Researcher at the Department of Electrical and Computer Engineering (Electronics and Photonics group) at Aarhus University. His research focuses on neuromorphic computing, spintronics-based systems, and biomedical circuit design. He specializes in developing energy-efficient and high-performance analog/mixed-signal integrated circuits for applications in healthcare, environmental monitoring, and smart infrastructure. Key technical contributions include neuromorphic hardware leveraging spintronics and vortex oscillators, low-power sensor systems for leakage detection in district heating networks, and ultrasonically powered biomedical implants. His work bridges device physics, circuit design, and system-level integration to address challenges in next-generation computing and IoT. Publications highlight interdisciplinary innovations such as reservoir computing for seizure detection, STT-RAM-based in-memory computing architectures, and high-bandwidth operational amplifiers. His research has been published in top-tier journals like IEEE Transactions on Magnetics and IEEE Transactions on Biomedical Circuits and Systems. Rezaeiyan holds a strong record in analog circuit design, with expertise in chopper stabilizers, bio-impedance measurement systems, and energy harvesting solutions. His lab focuses on translating fundamental physics into practical systems with real-world impact.