جست‌وجوی استاد و پژوهشگر

• Capacitive Ultrasonic Transducers
• Non-Contact Ultrasonic Measurements
• Ultrasonic Flow Measurement
• +۳ مورد دیگر

William Wright is a Senior Lecturer in Mechanical Engineering and Director of the Ultrasonics Research Group at the School of Engineering, University College Cork (UCC). He holds a BEng (Hons) in Mechanical Engineering (1991) and a PhD in Air-Coupled Ultrasonic Testing (1996) from the University of Warwick, UK. His career includes roles as a Research Associate/Fellow at Warwick (1991–1997) before joining UCC in 1997. Education : BEng (Hons) in Mechanical Engineering, University of Warwick (1991) PhD in Air-Coupled Ultrasonic Testing of Materials, University of Warwick (1996) Research Interests : Focuses on capacitive ultrasonic transducers, non-contact ultrasound applications, ultrasonic flow measurement, and communication systems. His work includes developing air-coupled transducers for industrial and biomedical uses, such as swallowable sensors and wireless data transmission. He also investigates ultrasonic tomography for temperature and flow field imaging in gases. Grants : €169,745 from Science Foundation Ireland for ultrasonic secure wireless communication (2011–2016) €153,878 from the EU for nanotechnology-related research (2004–2005) Multiple grants from the Irish Research Council for projects on transducer design and flow measurement Labs/Teams : Leads the Ultrasonics Research Group ( http://ultrasonics.ucc.ie/ ), which develops advanced ultrasonic technologies for industrial, medical, and energy applications. Collaborates on wave energy converter monitoring and biomedical sensor integration. Teaching : Responsible for modules in Thermodynamics, Applied Thermodynamics, Non-Destructive Testing, and CAD/CAM. Supervised over 10 postgraduate students, including Sean McSweeney (PhD on capacitive transducers) and Salem Brini (MEngSc on flow measurement).

Ayşe Betül Büyükşarمشاهده پروفایل

پژوهشگر

• Wireless Communications
• UAV Networks
• Signal Processing
• +۲ مورد دیگر

Ayşe Betül Büyükşar is a Researcher in the Department of Electronics and Communication Engineering at Istanbul Technical University. Her work focuses on UAV communication systems, signal processing, and wireless network security. Research domains include: Physical layer security for integrated aerial-ground networks Reconfigurable antenna design for UAV relays Channel modeling under shadowed fading conditions Distributed modulation techniques Her publications analyze secrecy performance against eavesdroppers, error resilience in media-based modulation, and cooperative communication frameworks using Bayesian and finite-element methods.

Alain Karmaمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Biological Physics
• Materials Science
• +۳ مورد دیگر

Alain Karma is the Director of the Center for Interdisciplinary Research on Complex Systems (CIRCS) and a CAS Distinguished Professor of Physics at Northeastern University's College of Science. His research spans theoretical condensed matter physics and biological physics, focusing on nonlinear systems and pattern formation in materials science and cardiac electrophysiology. He develops phase-field methods to model materials processes like solidification, fracture, and nanowire growth, with applications to advanced materials design. In biology, his work addresses mechanisms underlying cardiac arrhythmias and ventricular fibrillation, aiming to improve diagnostic and therapeutic strategies. His interdisciplinary approach bridges computational modeling and experimental validation, exemplified by collaborations on microgravity solidification experiments aboard the ISS. He leads CIRCS, which integrates research in biomolecular, cardiac, neural, and nanosystems. Despite no explicit awards listed, his contributions are reflected in high-impact publications spanning materials science and cardiac physiology. His research group actively explores topics like ephaptic coupling in cardiac tissue, ceramic-polymer composites, and ubiquitin ligase effects on ion channels.

Arthur Laganowskyمشاهده پروفایل

استاد

• Membrane Proteins
• Lipid-Protein Interactions
• Mass Spectrometry
• +۴ مورد دیگر

Arthur Laganowsky is a Professor in the Department of Chemistry at Texas A&M University. His research focuses on elucidating molecular mechanisms of membrane protein-lipid interactions using native ion mobility mass spectrometry. His work bridges analytical chemistry and structural biology, with applications in drug discovery and understanding disease mechanisms. Educational Background : B.S., Biological Sciences, California State University, Chico (2004) M.S., Biological Sciences, California State University, Chico (2006) Ph.D., Chemistry and Molecular Biology, UCLA (2011) Postdoc, Physical and Theoretical Chemistry, University of Oxford (2011–2014) Research Interests : Dr. Laganowsky investigates how lipids modulate membrane protein structure and function, with a focus on potassium channels (Kir/K2P), ABC transporters, and RAS signaling complexes. His lab develops novel mass spectrometry techniques to probe lipid binding at the molecular level, including thermodynamic analysis and high-resolution structural studies. Key Awards : NIH New Innovator Award (2016) Lab & Opportunities : The Laganowsky Lab is located in the ILSB building at Texas A&M. They offer PhD and postdoctoral positions in membrane biophysics, mass spectrometry, and structural biology. Research opportunities include studying lipid-protein interactions in disease contexts such as cancer and neurological disorders.

Javad Mohammadpourمشاهده پروفایل

پژوهشگر ارشد

• Computational Fluid Dynamics (CFD)
• Hydrogen Energy Systems
• Renewable Energy
• +۳ مورد دیگر

Javad Mohammadpour is a Postdoctoral Research Fellow and Academic Casual at Macquarie University's School of Engineering, with an adjunct researcher position at the University of Tasmania. He is a member of the Macquarie Smart Green Cities Research Centre and has served as a guest lecturer in courses like Fluid Mechanics (MECH2002) and Safety & Risk Engineering (ENGG8401). His research focuses on CFD, hydrogen energy systems, renewable energy optimization, and machine learning applications in thermal engineering. Key projects include a BE CRC-CO funded initiative assessing hydrogen incidents in maritime vessels and a Virtual Reality Lab for Fluid Mechanics education. He has authored 44 peer-reviewed publications, with a focus on cryogenic hydrogen safety, thermal optimization, and corrosion management. Awards include the Macquarie University Sustainable Energy Research Centre PhD scholarship and multiple peer-review recognitions. PhD in Mechanical Engineering (not explicitly stated but implied by title) Adjunct Researcher at University of Tasmania (2023-2026) Postdoctoral Research Fellow at University of Tasmania (2022-2023) Research interests span computational fluid dynamics, hydrogen energy systems, and machine learning-driven optimization. His work emphasizes thermal management in microchannel systems, cryogenic hydrogen safety, and predictive modeling for industrial hazards. Grants include the Macquarie University Postgraduate Research Fund (PGRF) and DVC-R commended applications. He has contributed to over 19 peer-review activities for journals like Fire and Micromachines . Labs/Teams: Active in the Smart Green Cities Research Centre and collaborates with institutions like the University of Tasmania on hydrogen safety and thermal energy projects.

Kandeepan Sithamparanathanمشاهده پروفایل

استاد

• 5G/6G Communications
• Satellite Communications
• Wireless Networks
• +۵ مورد دیگر

Professor Kandeepan Sithamparanathan is a Professor and Head of the Department of Electrical and Electronic Engineering at RMIT University's School of Engineering. He also serves as the Associate Dean for Electronic and Telecommunications Engineering. His research focuses on next-generation communication systems, including 5G/6G networks, satellite communications, machine learning applications, and security in communication technologies. He has received significant recognition, including Best Paper Awards and an IEEE Certificate of Appreciation for 10 years of dedication to the field. Professor Sithamparanathan collaborates extensively with global industry partners such as Thales, Ericsson, and Telstra, as well as research organizations like the German Aerospace Center and CSIRO. He actively supervises PhD students and has secured substantial research funding grants. His teaching spans advanced topics in wireless communications, satellite systems, and signal processing, and he leads initiatives like the Smart Sat CRC, RMIT Space Industry Hub, and WILAB to advance smart communication technologies and IoT. Awards: Best Paper Award, IEEE Conference on Wireless for Space and Extreme (2019) IEEE Communication Society Certificate of Appreciation (2015) Best Paper Award, International Conference on Personal Satellite Services (2012) Advising & Grants: Supervises many PhD students and mentors early-career researchers via multi-million dollar grants. Leads projects on 6G wireless systems, UAV communications, and AI-driven security solutions. Labs & Teams: Program Lead for Advanced Communications and IoT at RMIT Space Industry Hub; Deputy Lead of WILAB, advancing optical and wireless innovations.

• Underwater Acoustic Communications
• Signal Processing for Underwater Networks
• Interference Cancellation
• +۳ مورد دیگر

Benjamin Henson serves as a Research Fellow in the Department of Electronic Engineering at the University of York, with active research in underwater acoustic communications and networking. His work bridges theoretical algorithm development and practical implementation through lake experiments and sea trials. Research Interests: Dr. Henson specializes in: Interference cancellation techniques for underwater random-access networks Full-duplex communication systems with self-interference management Target detection using acoustic communication links Motion estimation via sonar image processing Network protocol design for integrated sensing-communication Experimental validation in real underwater environments His research consistently addresses practical challenges in dynamic underwater channels. Publication Trends: Analysis of Henson's 15 most recent publications (2022-2025) reveals a strong emphasis on experimental validation, with 60% reporting lake/sea trial results. Key thematic clusters include self-interference cancellation for full-duplex systems (28% of works), target detection integration (22%), and network discovery protocols (18%). His research demonstrates increasing collaboration with international teams, particularly in European underwater acoustics consortia. Benjamin Henson has no publicly documented scientific awards or honors based on available information. While no formal student supervision is evident from publication records, Henson collaborates extensively with researchers including Y. Zakharov, L. Shen, and P.D. Mitchell across 27 co-authored works. Grant funding details are not specified in available materials, though experimental work suggests involvement in projects requiring field deployment resources. He is affiliated with the University of York's underwater communications research group, which maintains experimental facilities for lake-based acoustic testing and collaborates with marine technology partners for sea trials.

Nils Morozsمشاهده پروفایل

پژوهشگر ارشد

• Underwater Acoustic Networks
• Communication Protocols
• Signal Processing
• +۱ مورد دیگر

Dr. Nils Morozs is a Research Fellow in Electronic Engineering at the University of York. His research focuses on underwater acoustic networks, communication protocols, and signal processing for marine environments. He has led several projects including EPSRC IAA: Network Plug-in for Subsea Monitoring Technology and York-Haifa Underwater Acoustic Communications Experiments. His work involves developing scalable networking solutions for the Internet of Underwater Things and improving data transmission reliability in challenging acoustic environments. Dr. Morozs has contributed extensively to underwater communication technologies with publications in IEEE Journal of Oceanic Engineering and other leading venues. His research combines theoretical modeling with practical sea trial validations to address real-world challenges in underwater networking.

Marc Fischlinمشاهده پروفایل

استاد

• Cryptography
• Security Protocols
• Complexity Theory
• +۲ مورد دیگر

Marc Fischlin is a Professor of Computer Science at Technische Universität Darmstadt, specializing in Cryptography and Complexity Theory. His research establishes formal foundations for cryptographic security and develops practical protocols for real-world applications. Key research domains: Formal verification of security protocols (TLS, Bluetooth, QUIC) Post-quantum cryptography migration strategies Compositional security proofs Privacy-enhancing technologies Cryptographic foundations and complexity Recent work includes BUFFing techniques for signature schemes, quantum-resistant FIDO2 authentication, and robust channel designs for QUIC/DTLS. He develops decision-based frameworks for privacy-sensitive data distribution and analyzes next-generation transport protocols. His group contributes cryptographic core components to standards including TLS 1.3 and conducts fundamental work on indifferentiability and verifiable verification.

Emilie Dressaireمشاهده پروفایل

استادیار

• Fluid Dynamics
• Complex Fluids
• Bio-inspired Engineering
• +۳ مورد دیگر

Emilie Dressaire is an Assistant Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara (UCSB). Her research focuses on fluid mechanics at small scales and complex fluids, with an emphasis on bio-inspired engineering solutions for fluid flow control and monitoring. She holds a PhD in Mechanical Engineering from Harvard University, an MS in Biophysics from the University of Paris, and a BS in Physics and Chemical Engineering from ESPCI. Her work spans interdisciplinary applications, including fluid-driven fractures, microfluidics, filtration systems, and biological fluid dynamics. Notable contributions include studies on clogging mechanisms in microfluidic arrays, pulsatile flow dynamics, and the design of bio-inspired filtration systems. She has received the Regents' Junior Faculty Fellowship from UCSB's Academic Personnel Office. Her research integrates experimental and computational approaches to understand phenomena such as capillary interactions, viscoelastic fluid behavior, and flow instabilities. Recent projects explore fluid dynamics in porous media, fungal networks, and the mechanics of droplet impacts on flexible fibers. Education: PhD, Mechanical Engineering, Harvard University MS, Biophysics, University of Paris BS, Physics and Chemical Engineering, ESPCI Awards: Regents' Junior Faculty Fellowship, UCSB Academic Personnel Office Advising & Grants: While no specific students or grants are listed, her research aligns with NSF-funded themes in fluid mechanics and bio-inspired engineering. Labs/Teams: Active in UCSB's Mechanical Engineering research groups focused on microfluidics and soft matter physics.

• Wireless Communications
• Drone Technology
• 5G Networks
• +۳ مورد دیگر

Simran Singh is a Research Fellow at the Department of Forest Biomaterials within the College of Natural Resources at North Carolina State University. Their research focuses on advancing wireless communication technologies for unmanned aerial vehicles (UAVs), including secure 5G networks, mmWave-based drone corridors, and video streaming optimization for aerial navigation. Key areas of expertise include interference management in heterogeneous networks (HetNets), real-time video adaptation for collision avoidance, and spectrum reuse strategies for urban environments. Research interests include the integration of artificial intelligence with telecommunication systems, particularly in enhancing the reliability and security of UAV operations. Recent work addresses challenges such as minimizing ground risk in cellular-connected drone systems, optimizing FeICIC (Flexible ICIC) for public safety networks, and extending MUD (Manufacturer Usage Description) protocols for IoT security. Publications highlight contributions to federated learning for resource-constrained aerial vehicles, neural-enhanced video streaming frameworks (BONES), and interactive teleconferencing systems leveraging scene graph analysis. These advancements aim to improve the efficiency and safety of UAV applications in both civilian and public safety contexts. Labs/Teams: Part of the Department of Forest Biomaterials and the FB Postdoctoral Scholar group.

José Luis Lázaro Galileaمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Systems
• Positioning Systems
• +۳ مورد دیگر

José Luis Lázaro Galilea is a Professor in the Department of Electronics at the University of Alcalá. He is affiliated with the GEINTRA research group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (1998) explored infrared modeling for mobile robot guidance. Key research areas include visible light positioning systems, FPGA-based hardware architectures, and remote laboratory development. He has contributed to vehicular VLC systems, indoor navigation algorithms, and biomedical applications like closed-loop insulin delivery systems. Notable projects include the ALCOR initiative for optimizing robot guidance in smart environments and the Helpresponder system for emergency intervention safety. Education: PhD in Electronics from University of Alcalá (1998). Supervised by Dr. Manuel Ramón Mazo Quintas. Academic focus spans digital electronics, embedded systems, and sensor networks. Active in educational innovation, including adapting digital electronics practices for blended learning models. Research emphasizes practical applications of electronic systems in smart spaces, with over 70 publications since 1998. Recent work addresses multipath effects in optical positioning, reconfigurable hardware platforms, and human-centered lighting systems. His interdisciplinary approach integrates robotics, telecommunications, and biomedical engineering. Notable contributions include: Development of high-precision indoor positioning systems using PSD sensors Optimization of sensor deployment via evolutionary algorithms Design of FPGA-based real-time processing architectures Innovative remote laboratory frameworks for STEM education Current projects explore vehicular visible light communication, wearable medical devices, and intelligent transportation systems. His work bridges theoretical advancements with practical implementations in both academic and industrial contexts.

Massimo Vergassolaمشاهده پروفایل

استاد

• Physics of living systems
• Fluid dynamics
• Continuum mechanics
• +۳ مورد دیگر

Massimo Vergassola is a Professor at École Normale Supérieure-PSL (ENS-PSL) in Paris and Director of the ENS-PSL Center for Quantitative Biology. His research bridges physics and life sciences, focusing on the physics of living systems with emphasis on embryonic development , animal behavior , and biological navigation . He holds a joint appointment as CNRS Directeur de Recherche and leads initiatives at the PariSanté Campus Val-de-Grâce, integrating institutions like Inserm and Inria. Education: Laurea in Physics (University La Sapienza, Rome, 1985-1990); PhD in Physics (University Nice-Sophia Antipolis, 1990-1993); Post-doc at Princeton University (1994-1995) His research spans fluid dynamics , statistical physics , and biophysics , addressing problems like olfactory navigation , chemotaxis , cell size control , and mitotic wave dynamics . Recent work explores Bayesian search strategies in turbulent flows and topological interactions in developmental biology. His 15 most recent articles reveal a focus on olfactory search algorithms , embryonic patterning , gene regulation , and turbulent transport . Keywords include Biophysics , Computational Biology , and Nonlinear Dynamics . Scientific Awards : APS Fellow, APS Outstanding Referee, CNRS Bronze Medal, Fondation de France Thérèse Lebrasseur Prize, EADS Grand Prix, and Accademia dei Lincei student award Vergassola contributes to academic governance via editorial boards ( Physics Reports , JSTAT ) and grant committees (Human Frontier Science Project). His lab at ENS-PSL collaborates with institutions like Harvard Center for Quantitative Biology and Pasteur Institute.

Franz Pernkopfمشاهده پروفایل

استاد

• Machine Learning
• Probabilistic Graphical Models
• Signal Processing
• +۴ مورد دیگر

Franz Pernkopf is a Professor at the Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria. He holds a MSc from Graz University of Technology (1999) and a PhD from the University of Leoben (2002). His research focuses on machine learning, probabilistic graphical models, and signal processing applications in speech recognition, medical data analysis, and radar technology. He has led the Christian Doppler Laboratory for Dependable Intelligent Systems and contributed to national research networks in signal processing. His work emphasizes resource-efficient deep learning, Bayesian networks, and time-series analysis. Notable contributions include interference mitigation in radar systems and acoustic event detection. Awards include the Erwin Schrödinger Fellowship (2002) and Young Investigator Award (2010). He advises on projects ranging from lung sound analysis to embedded system optimizations. His lab hosts courses on signal processing and machine learning.

Visa Koivunenمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Radar Signal Processing
• +۴ مورد دیگر

Visa Koivunen is the Aalto Distinguished Professor at Aalto University, Finland, with a global reputation in statistical signal processing and wireless communications. He has held prestigious positions including Academy Professor (2010-2014) and Principal Investigator for the SMARAD Center of Excellence (2002-2013). Education: D.Sc. (EE) from University of Oulu Current roles: Full Professor at Aalto University Visiting appointments: EPFL (2022-2023), Princeton University (2007, 2010-2013) His research spans statistical signal processing , radar systems , machine learning for radio frequencies , and integrated sensing and communications (ISAC) , with a focus on robust algorithms and practical applications. Recent work explores reinforcement learning for ISAC resource allocation and James-Stein estimator-based change detection. Notable awards include IEEE Fellow , EURASIP Fellow , Mannerheim Research Foundation Award , and Knight of the Order of the White Rose of Finland . Patents: 5 co-invented (US Patent Nos. 7787548, 7929937, 7949357, 20090197550, 20100120467) Publications: 490+ scientific papers, 116 peer-reviewed journal papers, h-index 60 Service: IEEE Fourier Award Committee, SPS Awards Board, NATO Radar panels