جست‌وجوی استاد و پژوهشگر

Mohamed Beshirمشاهده پروفایل

استاد

• Fire Dynamics
• Fire Safety Engineering
• Informal Settlements
• +۳ مورد دیگر

Mohamed Beshir is a Professor in the Department of Civil and Environmental Engineering at Carleton University, Ottawa, Canada. His research focuses on fire safety engineering, urban fire spread in informal settlements, and enhancing resilience in low- and middle-income communities. He teaches courses such as Fundamentals of Fire Safety Engineering and Fire Dynamics I , contributing to advanced engineering education. Education : PhD in Fire Safety Engineering, University of Edinburgh (2022). Professional Experience : Previously worked as a fire engineer at a leading UK consultancy, addressing fire safety in residential, retail, and historical buildings. Prof. Beshir’s research interests include fire and smoke dynamics, combustion modeling, compartment fires, and fire safety resilience. His work addresses environmental and economic sustainability in construction, alongside human behavior in fire scenarios. His scientific contributions span fire dynamics in informal settlements, wind effects on flashover, and energy harvesting technologies. He has received awards like the Sheldon Tieszen Student Award (2020) and the Best MSc Thesis Poster award (IMFSE, 2017). Teaching : CIVE 5609/IPIS 5504 (Fire Safety Engineering), CIVE 5610 (Fire Dynamics I). Collaborations : Worked with researchers like R. Walls, Y. Wang, and D. Rush on large-scale fire experiments and CFD modeling.

• Medical Microwave Imaging
• Microwave Engineering
• Millimeter-wave Engineering
• +۳ مورد دیگر

Professor Amin Abbosh is a faculty member at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on Medical Microwave Imaging and Millimeter-wave Engineering, with contributions to advanced imaging systems, antenna design, and communication technologies. He leads projects in electromagnetic medical sensing, including portable brain scanners and wearable diagnostic systems. His work integrates applied electromagnetics with AI-driven algorithms, addressing challenges in stroke detection, liver health monitoring, and deep vein thrombosis diagnosis. With over 16 patents and collaborations across biomedical and engineering domains, his research bridges clinical needs with cutting-edge electromagnetic techniques. Key projects include the development of low-cost healthcare monitoring systems and reconfigurable antennas for satellite communications. Research interests span medical imaging systems, antenna array design, and signal processing for healthcare applications. His team innovates in areas like phased arrays, dielectric property analysis, and non-invasive diagnostics. Recent advancements include synthetic microwave focusing techniques and self-supervised deep learning models for clutter removal in imaging. Publications highlight contributions in IEEE journals and conferences, emphasizing clinical applications and device prototyping. Collaborations with institutions like the University of Queensland’s medical faculty and industry partners ensure practical implementation of his research.

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +۵ مورد دیگر

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

• Memristive Systems
• Neuromorphic Engineering
• Photonics
• +۳ مورد دیگر

Elias Passerini is a Researcher at the Institute of Electromagnetic Fields (IEF), ETH Zürich, part of the Department of Information Technology and Electrical Engineering. His work focuses on memristive devices and their applications in neuromorphic computing, photonics, and nanoelectronics. He completed his doctoral thesis on 'Memristors for Neuromorphic Computing' in 2025, exploring volatility control and synaptic response tuning. His research emphasizes atomic-scale memristive systems, three-terminal architectures, and material innovations like Sn alloying for improved device stability. Key contributions include developing versatile nanoscale memristive switches with gate tuning capabilities and demonstrating metamaterial graphene photodetectors with record-breaking bandwidth. Passerini collaborates with the Center for Single-Atom Electronics and Photonics, advancing low-power neuromorphic hardware and optoelectronic integration. His publications span conferences like MEMRISYS and journals such as ACS Nano and Light: Science & Applications .

Elias Jarlebringمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Matrix computations
• Nonlinear eigenvalue problems
• +۱۰ مورد دیگر

Elias Jarlebring is a Professor in Numerical Linear Algebra at the Department of Mathematics, KTH Royal Institute of Technology, Stockholm. He has held the position of Full Professor since 2021, following his tenure as Associate Professor (2013-2021) and Dahlquist Research Fellow (2011-2013). His research focuses on numerical analysis, numerical linear algebra, matrix computations, and scientific computing. Jarlebring develops linear algebra algorithms to solve problems from various fields including systems and control, acoustics, electromagnetics, data science, quantum mechanics, and quantum chemistry. He is a core developer of NEP-PACK, a scientific computing software package for nonlinear eigenproblems. His recent publications demonstrate significant contributions to computational methods for nonlinear eigenvalue problems, matrix functions, and parameterized linear systems. The research shows a clear trajectory toward increasingly complex applications in quantum computing, data science, and wave propagation problems. Project grant, Swedish research council (2019) Ruth och Nils-Erik Stenbäcks foundation, junior grant (2019) Göran Gustafsson Prize for junior researchers (2014) Project grant for junior researchers, Swedish research council (2014-2018) Professor Jarlebring has supervised numerous PhD students including Vilhelm Peterson Lithell, Gustaf Lorentzon, Siobhán Correnty, Parikshit Upadhyaya, Emil Ringh, Antti Koskela, and Giampaolo Mele. He has received multiple research grants from the Swedish Research Council and serves as editor for BIT Numerical Mathematics, Linear and Multilinear Algebra, NACO Numerical Algebra Control and Optimization, and CALCOLO. He is actively involved in the numerical linear algebra community as a member of ILAS (International Linear Algebra Society), GAMM Activity Group on Numerical Linear Algebra, and the Nordic Numerical Linear Algebra Association. He also contributes to open source projects, particularly in the Julia programming language ecosystem.

Graham Sanderمشاهده پروفایل

استاد

• Soil Erosion
• Hydrology
• Environmental Science
• +۳ مورد دیگر

Professor Graham Sander is a Professor of Hydrology at Loughborough University, affiliated with the School of Civil and Building Engineering. His research focuses on mathematical modeling of soil erosion, unsaturated soil flow, contaminant transport dynamics, and nonlinear diffusion-convection equations. He leads the NERC-funded project on multi-dimensional soil erosion and chemical transport, collaborating with Lancaster University’s Department of Environmental Science. His academic qualifications include a BSc (Hons) and PhD. Recent research emphasizes integrating particle size-selective models to predict sediment and contaminant delivery to water bodies, supported by lab and field experiments. He has also pioneered pseudospectral methods for infiltration modeling and explored flood risk management through nature-based solutions like leaky barriers. Key contributions include advancing understanding of rainfall-driven erosion dynamics, including splash effects and rock fragment coverage impacts. His work spans experimental hydrology, numerical simulation, and interdisciplinary approaches to environmental challenges. He co-edits hydrology journals and advocates for rigorous scientific communication in the field. Grants: NERC-funded soil erosion project, Australian Research Council project on unsaturated soil flow. Labs/Teams: Collaborator with Lancaster University’s Environmental Science Department.

Joseph Friedmanمشاهده پروفایل

دانشیار

• Artificial Intelligence Hardware
• Beyond-CMOS Computing
• Neuromorphic Computing
• +۶ مورد دیگر

Joseph S. Friedman is an Associate Professor of Electrical & Computer Engineering at the University of Texas at Dallas, leading the NeuroSpinCompute Laboratory within the Erik Jonsson School of Engineering and Computer Science. His research focuses on unconventional computing paradigms leveraging nanotechnology, including neuromorphic systems, spintronics, and memristive devices. He specializes in nanomagnet-based logic architectures, neuromorphic computing with domain walls and skyrmions, and hardware security for emerging technologies. His research explores energy-efficient computing through novel paradigms such as reversible skyrmion logic, neuromorphic networks using magnetic tunnel junctions, and stochastic Bayesian inference circuits. He has pioneered spintronic neurons demonstrating 94% accuracy in handwritten digit recognition and developed secure logic locking mechanisms using nanomagnet logic. His work integrates experimental fabrication with SPICE modeling, emphasizing scalable beyond-CMOS systems. Recent advancements include toggle SOT-MRAM architectures, quantum circuit design for neutral atom systems, and neuromorphic networks leveraging superconducting flux quanta. He advises over 20 graduate and undergraduate students, fostering innovation in AI hardware and unconventional computing. Notable projects include the NeuroSpinCompute Lab's domain wall neuromorphic networks, secure logic locking schemes, and collaborations with institutions like Sandia National Labs on neuromorphic reservoir computing. Current research trends emphasize low-energy spintronic architectures, hybrid quantum-classical systems, and neuromorphic applications in edge computing. His research is supported by NSF grants CCF-1910800 and CCF-2146439, focusing on neuromorphic and spintronic systems. He regularly contributes to conferences like IEEE Rebooting Computing and SPIE Spintronics, showcasing breakthroughs in nanomagnetic logic and neuromorphic inference.

Gunes Acarمشاهده پروفایل

استادیار

• Web Security
• Privacy
• Online Tracking
• +۳ مورد دیگر

Güneş Acar is a tenured Assistant Professor in the Digital Security group at Radboud University's Faculty of Science. He is also affiliated with iHub, Radboud's interdisciplinary research hub on digitalization and society. His research focuses on security and privacy threats from websites, mobile apps, and IoT devices, with special emphasis on online tracking mechanisms, anonymous communication networks like Tor, and deceptive design patterns. Dr. Acar completed his PhD at KU Leuven under the supervision of Claudia Diaz and Bart Preneel. Prior to joining Radboud University, he was a Postdoctoral Research Fellow at KU Leuven's COSIC group and a Postdoctoral Research Associate at Princeton University's Center for Information Technology Policy. His research spans web security, privacy, online tracking, IoT security, Tor network analysis, and dark patterns. He investigates how websites, mobile apps, and IoT devices compromise user privacy through various tracking mechanisms and deceptive interface designs. His work combines large-scale measurements with user studies to understand both technical vulnerabilities and their real-world impact on users. Dr. Acar's publications reveal an evolving research trajectory from foundational web tracking mechanisms to increasingly sophisticated privacy threats. His work has expanded from browser fingerprinting to IoT privacy, children's online safety, and manipulative design patterns in subscription interfaces. A consistent theme across his research is the examination of how third-party trackers operate and circumvent privacy protections. 2022 CNIL-Inria Award for Privacy Protection (for Leaky Forms paper) Top Reviewer Award, Privacy Enhancing Technologies Symposium (2022) Future of Privacy Forum's Annual Privacy Papers for Policymakers Award (2020) Runner-up for multiple Caspar Bowden Awards for Outstanding Research in Privacy Enhancing Technologies Dutch Research Council (NWO) Vidi Grant (2025-2030) for "A Web Security and Privacy Observatory" Dr. Acar actively supervises PhD students including Zahra Moti, Tim Vlummens, and Luqman Zagi, with Asuman Senol recently completing her PhD in 2024. He has secured significant research funding including the NWO Vidi Grant and a project grant from armasuisse for the Mobile Web Inspector project. His research has influenced policy discussions with organizations including the OECD, US Federal Trade Commission, and European consumer protection authorities. As part of the Digital Security group at Radboud University, Dr. Acar contributes to a vibrant research ecosystem focused on practical security and privacy solutions. His work bridges technical security research with human-centered perspectives, often collaborating across disciplines to address complex privacy challenges in real-world contexts.

Karunanayake Esselleمشاهده پروفایل

استاد

• Electromagnetic Engineering
• Antenna Design
• Telecommunications
• +۶ مورد دیگر

Karunanayake Esselle (Karu P. Esselle) is a Distinguished Professor in Electromagnetic & Antenna Engineering at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. He is a world-renowned expert in telecommunications, defence, and space technologies, leading the MetaSteerers research team. His affiliations include roles as Senior Editor for IEEE Access, Visiting Professor at Macquarie University, and Fellow of the Royal Society of New South Wales, IEEE, and Engineers Australia. Education includes a BSc (First Class Hons) in Electronic Engineering from the University of Moratuwa (Sri Lanka), and MASc/PhD in Electrical Engineering from the University of Ottawa (Canada). Research focuses on electromagnetic engineering, antenna design (including resonant cavity, metasurface, and millimeter-wave antennas), wireless communication systems, and applications in defence/space. His work emphasizes high-gain beam-steering antennas, wearable/implantable devices, satellite communications, and electromagnetic shielding. Recent trends include meta-steering techniques, CubeSat-compatible arrays, solar-cell-integrated antennas, and 3D-printed metasurfaces. Awards include the Premier’s Prize for Innovation Leadership (2024), Australian Eureka Prize (2023), Professional Engineer of the Year (2022), and 21 major prizes in 5 years. Key recognitions span innovation, mentorship, and research excellence across defence, space, and engineering sectors. Advises undergraduate/postgraduate students in engineering capstones and internships. Secured research grants exceeding $35 million, including ARC grants and the $245M SmartSat CRC. Leads labs like the MetaSteerers team and collaborates with defence/space industries.

Jonathan Huمشاهده پروفایل

استاد

• Optics
• Photonics
• Nanophotonics
• +۱۱ مورد دیگر

Dr. Jonathan Hu is a Professor in the Department of Electrical and Computer Engineering at Baylor University's School of Engineering and Computer Science. He holds a PhD from the University of Maryland Baltimore County (2008) and completed a postdoctoral fellowship at Princeton University (2009–2011). He is an active researcher in optics and photonics, leading the Photonics Research Laboratory and advising both graduate and undergraduate research assistants. Research Interests: Nanophotonics and metamaterials for photovoltaic and biomedical applications Mid-IR supercontinuum generation using chalcogenide photonic crystal fibers 2D materials such as graphene and their alignment via magnetic fields Coherent optical communication and quantum optical Fredkin gates Numerical simulation of electromagnetic problems and leaky mode analysis His recent publications (2019–2024) demonstrate a strong focus on quantum plasmonics, specialty optical fibers, optofluidics, and nonlinear optical phenomena, with high-impact work in journals like Science Advances , ACS Photonics , and Advanced Materials . The research shows a clear trend toward integrating photonics with 2D materials and quantum systems, with applications in sensing, communication, and materials characterization. Scientific Awards and Recognition: 35 Baylor faculty named among top 2% most cited researchers (2023) Editor’s Pick, Journal of Applied Physics (2018) Top three downloads in OSA journals for three consecutive months (2009) NSF Graduate Research Fellowship (awarded to advisee) Chinese Government Award for Outstanding Self-Financed Students Abroad (awarded to advisee) Second Place in FiO + LS Student Competition (awarded to advisee) Advising and Grants: Dr. Hu actively mentors students at all levels, with current graduate research assistants including Wei Zhang, Zhihao Hu, and Sterling Walzel. His lab is supported by external funding, though specific grants are not detailed in the text. He has advised PhD students such as Joshua Young, Chao Niu, and Chengli Wei, many of whom have gone on to successful academic and industry careers. His teaching includes core courses like EGR 1302, ELC 2320, and ELC 4320, as well as advanced topics in computational photonics and integrated photonics. Labs and Teams: He leads the Photonics Research Laboratory at Baylor University, located at the BRIC facility. He is also involved with the Baylor University Optica Student Chapter, promoting optics outreach and networking among students and researchers.

• Antenna Engineering
• Microwave Engineering
• Electromagnetics
• +۳ مورد دیگر

Amar Al-Bassam is a researcher at the Institute of High Frequency Engineering at RWTH Aachen University. His work focuses on antenna engineering, particularly in the development of periodic leaky-wave antennas for radar and millimeter-wave applications. He has contributed to advancements in grating lobe mitigation, polarization engineering, and beamforming techniques. Below are his research interests and key contributions: Antenna Design for Radar and Communication Systems Microwave Engineering and Electromagnetic Theory Millimeter-Wave Technology and Waveguide Analysis His recent publications emphasize seamless beam scanning, symmetry-based optimizations, and dielectric material applications. No scientific awards or advisees are explicitly mentioned in the available data.

Ali Lalbakhshمشاهده پروفایل

مدرس

• Electrical Engineering
• Antenna Design
• Metamaterials
• +۳ مورد دیگر

Ali Lalbakhsh is a Lecturer in the Department of Engineering at Macquarie University College, specializing in engineering education and antenna design. He focuses on fostering a growth mindset among students in the Diploma of Engineering program, emphasizing engagement, confidence-building, and real-world application. His teaching strategies have significantly improved student attendance, assignment submission rates, and satisfaction. He redesigned curricula for units like WENG1000 and WENG1050, incorporating scaffolded learning, peer feedback, and industry-inspired projects. His research spans metamaterials, 3D-printed antennas, and microwave engineering, with over 50 publications in top journals and conferences. He led students to national recognition in the D.Start 2022 innovation program and co-authored peer-reviewed papers with students. His work bridges educational innovation and cutting-edge antenna technology. Education: PhD in Electrical Engineering (Implied by publication track) Research Interests: Ali’s research focuses on advancing antenna technologies through metamaterials, 3D printing, and AI-driven design. He explores applications in satellite communications, 5G, and IoT systems. His work addresses challenges in beam steering, bandwidth optimization, and low-profile antenna design. Recent projects include phase-modulation metasurfaces for satellite antennas and AI-enhanced impedance matching structures. Awards: 2023 Vice-Chancellor’s Learning and Teaching Award (Student Nominated) Student Impact: Ali mentors students in research projects, leading to publications and innovation awards. His pedagogical approach emphasizes one-on-one feedback and goal-setting, enabling students to achieve beyond expectations. Collaborative projects with students have resulted in journal papers and national competitions. Labs/Teams: Active in Macquarie University’s engineering research groups focused on antenna design and educational technology.

Scot M. Millerمشاهده پروفایل

دانشیار

• Atmospheric Science
• Greenhouse Gases
• Air Pollution
• +۱۱ مورد دیگر

Scot M. Miller is an Associate Professor in the Department of Environmental Health and Engineering at the Whiting School of Engineering, Johns Hopkins University. He leads the Greenhouse Gas Research Group, focusing on quantifying emissions of greenhouse gases and air pollutants using satellite, aircraft, and tower observations. His research spans global scales, from Arctic ecosystems to urban and industrial sources in the U.S. and China. His research interests include atmospheric science, greenhouse gas emissions, inverse modeling, big data analytics, and climate policy. He integrates tools from statistics, high-performance computing, and satellite remote sensing to improve emission estimates and inform environmental regulations. Recent publications highlight trends in methane, ethane, and sulfuryl fluoride emissions, carbon cycle dynamics, and innovative methods for analyzing massive satellite datasets. His work increasingly leverages OCO-2 and OCO-3 satellite data to study carbon dioxide and methane fluxes across diverse ecosystems. Scientific awards include the NSF CAREER Award, JHU Catalyst Award, and the Carnegie Distinguished Postdoctoral Fellowship. He was also recognized with Harvard’s Certificate of Excellence in Teaching. Miller advises multiple PhD students, including Mingyang Zhang, Dylan Gaeta, and Leyang Feng, and has secured grants from NASA, NSF, NOAA, and JHU. He is a member of the NASA OCO Science Team and collaborates with institutions such as Northern Arizona University, Carnegie Institution, and NOAA. His lab is involved in urban environmental monitoring in Baltimore and interdisciplinary climate policy research.

• Human Genetics
• Health Sciences
• Genomics
• +۵ مورد دیگر

Mads Kaern is an Associate Professor in the Department of Cellular and Molecular Medicine, specializing in synthetic biology, gene regulation, and systems biology. His research integrates computational modeling with experimental approaches to understand cellular processes and design genetic circuits for biomedical applications. Key areas of focus include epistasis analysis, gene expression variability, and the development of educational programs in BIOSTEM. Research interests span molecular mechanisms of gene regulation, synthetic biology applications, and quantitative analysis of genetic interactions. His work emphasizes interdisciplinary methods combining genomics, bioinformatics, and engineering principles to address complex biological questions. Publications highlight contributions to understanding cellular heterogeneity, improving DNA assembly techniques, and advancing therapeutic strategies through synthetic biology. Educational efforts include initiatives like iGEM-inspired programs to enhance undergraduate research and skill development in biotechnology.

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.