جست‌وجوی استاد و پژوهشگر

• Quantum Information Science
• Quantum Computing
• Quantum Optics
• +۴ مورد دیگر

Martin Hayhurst Appel is an Assistant Professor and Postdoctoral researcher at the Niels Bohr Institute, Faculty of Science, University of Copenhagen. His research focuses on quantum information science and technology, particularly in the areas of quantum entanglement, quantum dot physics, and photon-spin interfaces. Dr. Appel's research interests span several key areas in quantum information science: Quantum entanglement generation and manipulation Solid-state quantum emitters and quantum dot physics Spin-photon interfaces for quantum communication Time-bin encoding for quantum information processing Integrated quantum photonics Multi-photon entangled states for quantum computing His recent publications demonstrate a strong focus on developing practical quantum technologies using solid-state systems, particularly quantum dots in photonic nanostructures. Appel's work has appeared in high-impact journals including Nature Communications, Nature Physics, and Physical Review Letters, indicating significant contributions to the field of quantum information science. Among his notable achievements is the development of deterministic photon sources for multi-qubit entanglement, on-chip spin-photon entanglement systems, and high-fidelity multiphoton-entangled cluster states. His research has garnered attention in the scientific community, with several publications receiving significant citations and media coverage. Dr. Appel has been actively collaborating with leading researchers in the field, including P. Lodahl, A.S. Sørensen, and M.L. Chan, contributing to a robust network of quantum information research at the University of Copenhagen and beyond.

Oiwi Parker Jonesمشاهده پروفایل

پژوهشگر ارشد

• Neural Engineering
• Machine Learning
• Robotics
• +۳ مورد دیگر

Dr. Oiwi Parker Jones is a Hugh Price Fellow in Computer Science at Jesus College, University of Oxford, and Principal Investigator leading the Parker Jones Neural Processing Lab (PNPL) at the Oxford Robotics Institute. Their research focuses on neural speech prosthetics, combining machine learning with neuroscience to develop technologies for speech restoration. They hold an honorary fellowship in the Nuffield Department of Clinical Neurosciences and teach in Engineering Science, Computer Science, and Neuroscience, including roles as a stipendiary lecturer in neuroscience and medical teaching at St Peter’s and Oriel Colleges. Jones’ work spans robotics, neural decoding, and endangered language preservation, with a particular emphasis on Hawaiian linguistics. Their lab develops large-scale machine learning methods for neural data analysis and collaborates on interdisciplinary projects involving clinical neuroimaging and AI ethics. Jones is also engaged in cultural preservation efforts through computational linguistics and has published widely on language contact, phonology, and indigenous protocols in technology. Education: Doctoral research in NLP and machine learning at Oxford Neuroscience training at UCL and Oxford Research Interests: Neural prosthetics, speech decoding, small-data machine learning, robotics, and endangered language preservation. Current projects include non-invasive brain-to-text systems, clinical fMRI applications, and computational tools for Hawaiian linguistic analysis. Teaching Contributions: Undergraduate lectures on generative deep learning and robotics, postgraduate supervision in DPhil projects across Engineering, Computer Science, and Neuroscience. Known for interdisciplinary teaching methods integrating neuroscience and AI. Awards & Recognition: No explicit awards listed, but recognized for innovative interdisciplinary research and leadership in neural engineering. Labs & Teams: Leads PNPL, collaborates with Oxford Robotics Institute and Applied Artificial Intelligence Lab. Active in global networks for clinical neuroimaging and indigenous AI ethics.

Joseph T. Francisمشاهده پروفایل

استاد

• Brain-Machine Interfaces (BMIs)
• Somatosensory Neuroprosthetics
• Sensorimotor Learning
• +۴ مورد دیگر

Joseph T. Francis is a full Professor in the Department of Biomedical Engineering at the University of Houston. He holds a Ph.D. in Neuroscience from The George Washington University and a B.S. in Biology with Honors from SUNY Buffalo. His career spans postdoctoral work at Johns Hopkins University and SUNY Downstate Medical School, followed by faculty roles at SUNY Downstate (2006–2018) and the University of Houston (2015–present). Education Ph.D., Neuroscience, The George Washington University B.S., Biology With Honors, State University of New York at Buffalo His research focuses on Brain-Machine Interfaces (BMIs) and somatosensory neuroprosthetics, aiming to translate neural activity (spiking, LFPs, EEG, fNIRS) into robotic motion and deliver sensory feedback to the brain or periphery. He also investigates sensorimotor learning and neural plasticity. Dr. Francis has secured significant funding from NIH, NSF, and DARPA for projects such as: Regenerative Micro-Electrode Peripheral Nerve Interface (NIH, 2022–2027) Multimodal Brain-Computer Interface for Human-Robot Interaction (NSF, 2021) Synthetic Brain Through Hybrid Systems (DARPA, 2010–2015) His work combines computational neuroscience with experimental approaches, emphasizing cortical plasticity, reward expectation mechanisms, and naturalistic BMI control systems.

Osama Alshaykhمشاهده پروفایل

استاد پژوهشی

• Machine Vision
• Digital Signal Processing
• Data Learning
• +۳ مورد دیگر

Osama Alshaykh is a Lecturer and Research Professor in the Department of Electrical & Computer Engineering at Boston University. He holds additional roles as CEO/CTO of Nxtec Corporation and CTO of Talon Corporation, as well as a Civic Tech Fellow at the Faculty of Computing & Data Sciences. His research focuses on Machine Vision, Digital Signal Processing, Data Learning, Robotics, Network Communications, and Image Compression. Dr. Alshaykh has received notable awards including the BU ECE Best Class Award (2016), BU ECE Award of Excellence in Teaching (2015), and the Fulbright Scholarship (1991). He teaches advanced courses such as EC601, EC500, EC463, and EC464. His research spans innovative areas like 5G infrastructure planning, mobile device media transfer systems, and healthcare collaboration technologies. Recent work includes applying Mask R-CNN for utility pole planning and developing frameworks for virtual education hospitals. Professional affiliations include primary faculty status at BU’s Electrical & Computer Engineering Department, alongside his industry leadership roles. He is actively involved in advancing multimedia systems, network protocols, and healthcare technology through interdisciplinary collaborations.

• Neuropsychology
• Cognitive Neuroscience
• Physical Activity and Cognitive Efficiency
• +۴ مورد دیگر

Patrizia Turriziani is a Full Professor at the University of Palermo in the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences . She serves as the Delegate for Supporting Neurodiversity and contributes to institutional initiatives like CE.N.DIS (University Center for Disability and Neurodiversity) and the ARTEMISIA Center for Gender Studies. Her research is centered in Neuropsychology and Cognitive Neuroscience , with a focus on sensory processing, memory, and physical activity's cognitive effects. Institutional Roles: Delegate for Neurodiversity, CE.N.DIS, ARTEMISIA Center, NeuroTeam srl Labs: Neuropsychology Lab Research Interests include cognitive rehabilitation, sensory-motor integration, neurodevelopmental disorders, and neuromodulation techniques like rTMS and tDCS. Her recent publications highlight stroke recovery , Alzheimer's interventions , and sensory processing in neurodiverse populations. She also investigates spatial cognition and memory enhancement through prism adaptation and digital therapeutics. Key Collaborations involve the Neuropsychology Lab and translational research with the NeuroTeam srl initiative. Her work spans both clinical and developmental neuropsychology , integrating applied neuroscience with educational and rehabilitation frameworks.

• Neuromodulation
• Neurostimulation
• Neuropsychiatric Disorders
• +۲ مورد دیگر

Kristin Sellers is an Assistant Professor at the University of California, San Francisco (UCSF) in the Department of Neurological Surgery under the School of Medicine. Her work focuses on intracranial electrical stimulation for treating neuropsychiatric disorders such as major depressive disorder and chronic pain, with an emphasis on translating findings from clinical trials into neurotechnology development. Education: BS in Human Development from Cornell University (2011) PhD in Neurobiology from University of North Carolina (2016) Certificate in Translational Medicine from University of North Carolina (2016) Postdoctoral Scholar in Neurological Surgery at UCSF (2020) Dr. Sellers specializes in closed-loop neuromodulation systems, aiming to create adaptive neurotechnologies that respond to real-time brain activity. Her research spans human neurophysiology, biomedical engineering, and therapeutic applications of brain stimulation. Key publication trends include innovations in deep brain stimulation protocols, advanced neural recording techniques, and computational approaches to understanding cortical dynamics. Her work has been cited over 2000 times across platforms like Mendeley, X, and news outlets, with notable coverage of treatments for severe depression and chronic pain. She collaborates extensively with UCSF colleagues including Andrew Krystal, Edward Chang, and Philip Starr. Labs & Collaborations: Dr. Sellers operates within UCSF's Neurological Surgery department, contributing to clinical trials and neurotechnology projects. She works with teams developing tools like the DREDge algorithm and Medtronic Summit RC+S systems for brain stimulation.

John A. Whiteمشاهده پروفایل

استاد

• Mechanisms of Episodic Memory
• Pathophysiology of Epilepsy
• Computational Neuroscience
• +۲ مورد دیگر

John A. White serves as Professor and Deputy Chair in the Department of Biomedical Engineering at Boston University, with joint appointments in Pharmacology and Experimental Therapeutics and Neuroscience. He directs the Neuronal Dynamics Lab and maintains affiliations with the Center for Systems Neuroscience, Neurophotonics Center, and Photonics Center. Education: PhD, Biomedical Engineering, Johns Hopkins University B.S., Biomedical Engineering, Louisiana Tech University His research integrates engineering principles with neuroscience to decode brain information processing mechanisms. Key focus areas include episodic memory formation, epilepsy pathophysiology, computational modeling of neural networks, real-time instrumentation design, and advanced imaging of neuronal and astrocytic activity. Current work targets therapeutic interventions for memory disorders through precisely timed brain stimulation and develops computational frameworks for understanding cortical coherence in cognitive functions. Analysis of his 2022-2025 publications reveals dominant themes in hippocampal memory coding (time/distance representation, engram segregation), theta-gamma oscillation dynamics, and neurotechnology development. Recent work emphasizes ultrasound-based deep brain stimulation, calcium imaging analysis toolboxes, and computational models of inhibitory networks, demonstrating consistent innovation at the engineering-medicine interface. Scientific Awards: 2019: Elected Fellow of the International Academy of Medical and Biological Engineering 2019: Elected President of the Biomedical Engineering Society 2014: Meeting Chair, Biomedical Engineering Society Fall Meeting 2011: Distinguished Alumnus Award, Dept. of BME, La. Tech U. 2006: Elected Fellow, Biomedical Engineering Society 2005: Elected Fellow, American Institute for Medical and Biological Engineering 2003-2008: Co-Director, Methods in Computational Neuroscience, Marine Biological Lab Professor White actively collaborates across Boston University's interdisciplinary centers while advancing his lab's mission to translate neural dynamics research into clinical applications, particularly for memory restoration in neurological disorders. His leadership in the Biomedical Engineering Society and ongoing development of real-time electrophysiology tools underscore his commitment to bridging engineering innovation with neurological therapeutics.

• Quantum Optics
• Quantum Information
• Quantum Machine Learning
• +۳ مورد دیگر

Anton Frisk Kockum is an Associate Professor in Applied Quantum Physics at Chalmers University of Technology. He holds a PhD in Physics from Chalmers (2014) and completed postdoctoral research at RIKEN in Japan (2014–2018), supported by a JSPS Fellowship. He joined the Wallenberg Centre for Quantum Technology in 2018, focusing on theoretical contributions to quantum computing and quantum program design. His research spans quantum optics, quantum information, and quantum machine learning, with emphasis on ultrastrong light-matter coupling, quantum acoustics, and circuit quantum electrodynamics. He explores quantum technologies for building scalable quantum computers and optimizing their applications. Recent work includes entanglement generation in hybrid systems, decoherence mitigation, and quantum process tomography advancements. His publications (67 total) address topics like giant atom dynamics, quantum amplification, and quantum algorithm optimization for real-world problems. He leads projects funded by EU, SSF, and VR, including studies on non-Hermitian topological phases and structured quantum environments.

Harin Sellahewaمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۶ مورد دیگر

Professor Harin Sellahewa is the Dean of Computing at the University of Buckingham, leading the Faculty of Computing, Law and Psychology. He holds a BSc and DPhil in Computing from the same institution. His academic roles include Reader, Head of Applied Computing Department, and interim dean positions. He specializes in Artificial Intelligence, Computer Vision, Machine Learning, Biometrics, and Digital Health, with over 50 peer-reviewed publications. He has supervised numerous PhD students and led Innovate UK-funded KTP projects with industry partners like Deepnet Security and Russell IPM. Education: BSc and DPhil in Computing from the University of Buckingham. Post-doctoral work at the Gray Institute (University of Oxford) on the CyMap project. Research Interests: His work focuses on AI-driven solutions for biometric security, digital health, cyber security, and AR/VR in education. He pioneered the Education 4.0 project with JISC and promotes STEM diversity initiatives. Grants & Collaborations: Lead Academic in two KTP projects with Innovate UK. Active in industry-academia partnerships, particularly in smart agriculture and wearable technology. His work on facial recognition and steganography has applications in crime-fighting and secure communication. Labs/Teams: Coordinates cross-disciplinary teams in AI, biometrics, and educational technology. Spearheads the use of AR/VR for STEM education outreach.

Radu-Mihai COLIBANمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Digital Systems Design
• Hyperspectral Image Processing
• +۴ مورد دیگر

Radu-Mihai COLIBAN is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, University of Technical Education of Braila. His research focuses on digital signal processing, digital systems design, and hyperspectral image processing with applications in remote sensing, FPGA implementations, and image segmentation. He has contributed to projects like the ATLAS New Small Wheel detector electronics and developed novel methods for hyperspectral visualization and fractal analysis. Education: PhD in Electronics/Computer Science (inferred from academic rank) Advanced training in FPGA design and signal processing techniques Research Interests: Signal Processing: Digital systems, FPGA-based implementations, and real-time signal analysis Image Analysis: Hyperspectral/multispectral data processing, segmentation algorithms, and color texture characterization Applications: Agricultural monitoring, medical imaging, and high-energy physics instrumentation Publications Trends: Recent work emphasizes hyperspectral image processing (e.g., band selection, segmentation) and FPGA-accelerated algorithms (e.g., modular arithmetic, 8b/10b encoding). His 2023-2025 publications show a focus on agricultural datasets (DACIA5), polarization-based analysis, and environmental monitoring. Lab/Teams: Involved in interdisciplinary projects combining signal processing with remote sensing and hardware design. Likely collaborates with the ATLAS experiment team and local/ international research groups in fractal analysis and image denoising.

Martín Bayón Gutiérrezمشاهده پروفایل

استادیار

• Systems Engineering and Automation
• Robotics
• Internet of Things (IoT)
• +۳ مورد دیگر

Martín Bayón Gutiérrez is an Assistant Professor at the Department of Electrical Engineering and Systems and Automation, within the School of Industrial, Computer Science and Aerospace Engineering at the University of León. His research focuses on Systems Engineering and Automation, with a strong emphasis on robotics, IoT security, and machine learning applications. Thesis: Percepción y optimización en plataformas robóticas autónomas (2025) Advisors: Dr. Maite García-Ordás, Dr. José Alberto Benítez Andrades His work spans multiple domains including autonomous robotics, cybersecurity for IoT environments, and biomedical applications. Recent publications demonstrate expertise in SLAM algorithms, network security, and multi-sensor fusion techniques. Research projects include: CAD2SLAM adaptive mapping systems IoT-based smart office QoS optimization CoAP attack detection in IoT networks ASD detection through social media text analysis LiDAR and camera sensor fusion for road detection

Nunzio Tuccittoمشاهده پروفایل

دانشیار

• Molecular Communication
• Nanomaterials
• Physical Chemistry
• +۳ مورد دیگر

Nunzio Tuccitto is an Associate Professor of Physical Chemistry at the University of Catania. His research focuses on molecular communication systems for wave-denied environments, hazardous gas detection, and big-data processing for mass spectrometry. He supervises PhD students and leads major EU-funded projects like ERMES. Education : PhD in Chemistry (2007), University of Catania Research Interests : Designing nanomaterials for molecular communication, developing carbon-based sensors for warfare agents/explosives, and advancing machine learning methods for multisensor data. His work bridges physical chemistry, nanotechnology, and biomedical engineering. Recent Research Trends : 2020s publications emphasize quantum dots for biological fluid communication, lemon waste-derived nanomaterials, and environmental pollutant monitoring via drones. Key themes include signal reliability, biocompatibility, and sustainable synthesis techniques. Scientific Awards ACM NanoCom 2024 Best Work-In-Progress Paper Italian Chemical Society 2021 Distinguished Oral Presentation Royal Society of Chemistry's Beynon Prize (2009-2010) FAMELAB-2018 Catania Winner Advising & Grants : Supervises 3 PhD students. Coordinates €3.7M EU ERMES project (2025-2028) and leads multiple national/international grants totaling €26M. Collaborates with institutions in Poland, Belgium, Canada, and Germany. Labs & Teams : Member of the Department Board, vice-coordinator of Materials Science PhD school, and leads 60 researchers in SiciliAn Micronanotech Center's Environment WP.

Carsten Griwodzمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Network Security
• +۵ مورد دیگر

Carsten Griwodz is a Professor in the Department of Informatics (IFI) at the University of Oslo, specializing in digital infrastructure and security. He leads the Distributed Infrastructure and Security (DIS) research group and contributes to several specialized labs including the Sustainable Immersive Networking Lab (SINLAB), Imagine Beyond 5G Blockchain Lab, and the AliceVision Association. Professor at Department of Informatics, University of Oslo Section leader for DIS: Distributed Infrastructure and Security Group member in Networks and Distributed Systems (ND) Active in sustainable immersive networking and blockchain labs Co-founder of AliceVision open-source photogrammetric framework His research focuses on network performance, edge computing, and immersive technologies. He has pioneered work in cloud gaming QoE, real-time 3D reconstruction, and low-latency systems. Current projects explore redirected walking in VR, GPU programming for tracking, and sustainable networking solutions. Recent publications (2021-2024) demonstrate his expertise in network delay analysis, point cloud compression, virtual reality environments, and GPU-accelerated systems. His work bridges computer science fundamentals with cutting-edge applications in multimedia, security, and health informatics. He supervises numerous master's theses covering diverse topics from wireless streaming challenges to medical imaging advancements, consistently mentoring on topics related to network optimization, immersive technologies, and GPU computing. Supervised 40+ master's theses (2004-2024) Thesis topics span network performance, GPU programming, VR systems, and multimedia processing Active in both theoretical and applied research domains Mentoring interests include HCI, distributed systems, and real-time processing Contributes to education through research-led supervision As a permanent faculty member with extensive publication records and active research groups, Griwodz maintains significant influence in academic circles through both his technical contributions and educational mentorship.

• Embedded Systems Security
• Side-Channel Attacks
• Secure Architectures
• +۳ مورد دیگر

Guillaume Duc is an Associate Professor (Maître de Conférences) at Télécom Paris, affiliated with the Laboratoire Traitement et Communication de l'Information (LTCI) and the Systèmes Embarqués Critiques Autonomes team within the Computer Science and Networks Department. His expertise lies in embedded systems security, side-channel attacks, and secure architectures. Research Interests: His work spans embedded systems security , focusing on securing communication buses and memory architectures against espionage. He explores hardware support for software security , side-channel attacks (notably through the DPA Contest ), and secure memory encryption techniques. His research also delves into integrity checking , fault detection , and distributed security for multiprocessor systems. Publications & Patents: He has published extensively in top-tier journals and conferences, including Journal of Cryptographic Engineering , ACSAC , and CARDIS . His work covers topics like AES side-channel attacks, secure memory architectures, and Java Card vulnerabilities. He also holds multiple patents in secure memory allocation and electronic equipment monitoring. Teaching & Supervision: He leads several courses at Télécom Paris, including INF107: From Logic Gates to Operating Systems and SE203: Tools, Languages, and Practices for Microprocessor Systems . He is also involved in advanced Rust programming modules and has supervised PhD students. Labs & Teams: He is a key member of the Systèmes Embarqués Critiques Autonomes team at LTCI, contributing to cutting-edge research in secure and autonomous embedded systems.

Reha Civanlarمشاهده پروفایل

استاد

• Computer Networking
• Multimedia Communications
• Wireless Communications
• +۳ مورد دیگر

Reha Civanlar serves as Vice Rector and Founding Dean of the Faculty of Engineering at Ozyegin University, Istanbul, following a distinguished career spanning AT&T Labs-Research, Bell Labs, and DOCOMO USA Labs where he was Executive Vice President (2006-2008). His academic leadership extends to prior roles as Visiting Professor at Koc University (2002-2006) and research department head at major telecommunications laboratories. His educational foundation includes: PhD in Electrical & Electronics Engineering, North Carolina State University (1984) MS in Electrical & Electronics Engineering, METU (1981) BS in Electrical & Electronics Engineering, METU (1976) Dr. Civanlar's research focuses on computer networking and multimedia communications , with pioneering contributions to video compression, wireless systems, and Internet-based multimedia delivery. His work bridges theoretical innovation and practical implementation, particularly in scalable video coding and real-time communication systems. Analysis of his 2015-2021 publications reveals sustained leadership in video conferencing technologies, noise reduction algorithms, and software-defined networking for wireless systems. Key thematic threads include content-adaptive video processing, multi-view video transmission for 3DTV applications, and optimization of multimedia delivery over heterogeneous networks. His scientific recognition includes: IEEE ASSP Group's Best Paper Award (1985) Fulbright Scholar designation IEEE Fellow (2005) Dr. Civanlar has directed major research initiatives including the Visual Communications Research Department at AT&T and DOCOMO's Computer Networks and Media Research Laboratory. He currently provides strategic guidance through advisory roles at Vidyo Inc. (USA) and Argela Teknolojileri AS (Turkey), while shaping academic direction as Vice Rector at Ozyegin University. His laboratory leadership has consistently produced industry-adopted innovations in multimedia communications standards.