جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

• Optical Networks
• Network Resource Allocation
• Deep Reinforcement Learning
• +۲ مورد دیگر

Ehsan Etezadi is a visiting researcher and doctoral student at Chalmers University of Technology, affiliated with the Department of Electrical Engineering (E2) and actively contributing to advancements in Optical Networks . His research focuses on Network Resource Allocation , Deep Reinforcement Learning , and Spectrum Management in Elastic Optical Networks . He has played a pivotal role in the PROTECT project (2021–2024), which addresses resilient and secure networks for critical infrastructures. His recent publications demonstrate expertise in creating AI-driven solutions for spectrum defragmentation, programmable filterless optical network design, and impairment-aware resource allocation in multi-band environments. These works highlight his contributions to WDM Metro Network Optimization , Network Digital Twins , and Transport API Integration . Research Highlights Developing DeepDefrag - a reinforcement learning framework for spectrum defragmentation Advancing Filterless Optical Networks architecture Implementing AI-based Network Control via digital twins Addressing Joint Fragmentation and QoT Challenges

• optical networks
• 5G transport networks
• energy efficiency
• +۵ مورد دیگر

Lena Wosinska is a Research Professor at Chalmers University of Technology, specifically in the field of Optical Networks since June 2019. Prior to her current position, she served as a Professor of Telecommunications at KTH Royal Institute of Technology, where she established and directed the Optical Networks Lab.

Philippe Archambaultمشاهده پروفایل

استاد

• Marine Ecology
• Biodiversity
• Climate Change Impacts
• +۴ مورد دیگر

Philippe Archambault is a Full Professor at the Department of Biology, Faculty of Science and Engineering, Université Laval. He holds the Canada Research Chair in Biodiversity and the Functioning of Changing Marine Ecosystems and serves as Director of the Takuvik International Research Laboratory (CNRS/Laval University/Sorbonne University). As Scientific Director of the national research network ArcticNet since 2024, his work bridges academic research with high-level policy impact. Education: Ph.D. in Biology (1998, Laval University); Postdoctoral training (2000-2002, University of Sydney) Key Research Areas: Marine biodiversity, climate change impacts on Arctic ecosystems, deep-sea invertebrates, ecosystem functioning, and interdisciplinary environmental monitoring Recent Publications focus on Arctic kelp forests' carbon sequestration potential, ecological interactions under stressors, and innovative remote sensing technologies. His Scientific Awards include the 2024 Michel Jurdant Prize (ACFAS), 2025 King Charles III Coronation Medal, and multiple Québec Science 10 Discoveries recognitions (2024, 2019). As an advisor, he has mentored over 15 Master's and Ph.D. students, with ongoing postdoctoral supervision. 2024: Developed LIDAR sensor for Arctic ecosystem mapping 2020: Co-founded BeBest international coastal ecology lab 2014-2018: Founded Notre Golfe network, influencing Arctic hydrocarbon bans

• Photochemistry
• Photosensitizers
• Antimicrobial compounds
• +۵ مورد دیگر

Prof. Dr. Bianka Siewert is a Professor and Working Group Leader at the Institute of Pharmacy within the Department of Chemistry at the MIN Faculty of University of Hamburg. Her research group (AK Siewert) focuses on light-activated infection control and is based at Federal Highway 45, 20146 Hamburg in room U16, PHA. The group is part of the university's broader chemistry research infrastructure that includes multiple institutes and research collaborations. Dr. Siewert's research interests center on photochemistry and the application of light-activated compounds for antimicrobial purposes. Her work primarily investigates fungal photosensitizers, particularly anthraquinones and related pigments from Cortinarius species, with applications in photodynamic therapy and infection control. She explores the chemical properties, ecological roles, and pharmaceutical potential of these naturally occurring photoactive compounds, bridging natural products chemistry, medicinal chemistry, and photobiology. Analysis of her recent publications reveals a strong focus on fungal-derived photosensitizers, particularly anthraquinones from Cortinarius species. Her research spans multiple disciplines including natural products chemistry, photochemistry, antimicrobial research, and analytical chemistry. Key trends include the discovery and characterization of novel photoactive compounds, development of separation methods for fungal pigments, investigation of light-dependent fungal metabolism, and exploration of applications in photodynamic antimicrobial therapy. Prof. Siewert leads a research team consisting of secretariat staff (Britta Bühring), technical employees (Philipp Groth, Antje Schnasse), research assistants (Dr. Anke Heisig), doctoral students (Lorena Kubiczek, Malte Austria), and visiting scientists (Ulrich Sturm). Her group collaborates extensively with researchers across multiple institutions, particularly in the fields of mycology, natural products chemistry, and photobiology.

• Information Retrieval
• Data Science
• Text Analytics
• +۵ مورد دیگر

Christina Lioma is a Full Professor at the Department of Computer Science (DIKU), University of Copenhagen . She has held academic positions including Associate Professor (2014-2018) and Freja Fellow/Assistant Professor (2012-2013) at the same institution. M.Hons (University of Glasgow, 2001) M.Sc. (University of Manchester, 2003) Ph.D (University of Glasgow, 2007) Her research focuses on Information Retrieval , Text Analytics , and Recommender Systems within Applied Machine Learning and Natural Language Processing . Recent work examines fairness-relevance tradeoffs in recommendation systems and neural mechanisms for knowledge conflict tracing. Recent publications in Nature Communications and top conference proceedings (WWW, SIGIR) explore hybrid computation architectures, brain-based language generation, and fairness evaluation metrics. She actively participates in academic conferences as organizer and speaker, including the European Conference on Information Retrieval.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +۳ مورد دیگر

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

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

Iris Agresti is a researcher affiliated with the Faculty of Physics at Politecnico di Milano , specializing in quantum computing, quantum information, and machine learning. Her work bridges quantum optics and computational advancements, with recent publications in high-impact journals like Nature Photonics and Physical Review Research . Education: PhD in Physics. Research focuses on photonic processors for quantum machine learning, quantum state superposition, and integrated photonic systems for generating GHZ entangled states. Her 2025 article explores kernel-based quantum-enhanced machine learning, while 2024 work investigates time-reversed quantum evolution and high-fidelity photon entanglement. She has participated in international collaborations and workshops, including visits to Politecnico di Milano, and is part of funded projects like Photonic Reservoir Computing for Quantum Correlation Sets (2022–2025). Her work garners attention from news outlets, social media, and academic platforms like Mendeley.

Anna O'Brienمشاهده پروفایل

استادیار

• Plant-Microbiome Interactions
• Global Change Biology
• Evolutionary Genetics
• +۳ مورد دیگر

Anna O'Brien is an Assistant Professor in the Department of Molecular, Cellular, and Biomedical Sciences at the University of New Hampshire (UNH), part of the College of Life Sciences and Agriculture (COLSA). Her research focuses on plant-microbiome interactions under global change stressors, exploring how evolutionary dynamics in these relationships influence host fitness and resilience. She employs advanced techniques like sequencing, epigenetics, and computational modeling to unravel these complex systems. Professor O'Brien’s work bridges ecology, evolution, and molecular biology, with a particular emphasis on bioremediation applications and the impacts of climate change on plant-microbe mutualisms. She teaches courses including Microbial Ecology & Evolution, Molecular Genetics, and Professional Perspectives in Genetics. Her team actively seeks new members for undergraduate, Master’s, and PhD programs. Key research themes include the interplay between microbiomes and environmental stressors, such as temperature, CO2, and microplastics. Her lab investigates how these stressors influence plant adaptation and mutualistic outcomes. Recent studies highlight the resilience of aquatic plants and their microbiomes under multiple stressors, as well as the development of novel imaging systems for phenotyping small organisms. While no formal awards are listed, her extensive publication record reflects contributions to understanding evolutionary consequences of microbiomes and the design of bioremediation strategies. Ongoing projects aim to integrate environmental and genomic data to predict ecosystem responses under changing conditions.

Michael McGarryمشاهده پروفایل

دانشیار

• Communication Networks
• Machine Learning
• Internet
• +۶ مورد دیگر

Michael McGarry is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on communication networks, particularly mechanisms for improving network efficiency through machine learning and optimization. He leads UTEP's Communication Networks Laboratory (NetLab), which explores fault localization, automated network management, and bandwidth forecasting. McGarry's work has garnered over 2100 citations, with an h-index of 16 and an Erdős number of 2. He has mentored three Ph.D. students, including Rami Haddad, Salvador Melendez, and Christopher Mendoza, who now hold prominent roles in academia and industry. His research interests span machine learning applications in networking, video networking, cloud computing, and medium access control (MAC) protocols. Notable contributions include techniques for network fault localization using unsupervised machine learning and innovations in hybrid PON/xDSL access networks. McGarry has also developed methodologies for optimizing bandwidth distribution and reducing energy consumption in communication systems. Awards: 2009 IEEE Communications Society Best Tutorial Paper Award Grants: Recent funding focuses on network management automation and fault detection. McGarry's collaborative projects include integrating OpenTap with quantum entanglement testbeds and advancing SDON (Software Defined Optical Networks) architectures. His lab’s work emphasizes practical solutions for real-world network challenges, from enterprise systems to military applications.

• Quantum Physics
• Quantum Information Science
• Quantum Computing
• +۷ مورد دیگر

Professor Geoff Pryde is a quantum physicist at Griffith University, leading the Quantum Optics and Information Laboratory. He holds a PhD from The Australian National University (2001) and a BSc (Hons) from The University of Queensland (1995). His research focuses on quantum information science, quantum computing, and optical quantum technologies, with emphasis on experimental exploration of quantum phenomena and development of quantum technologies. He is a member of the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). Affiliations: Queensland Quantum and Advanced Technologies Research Institute (QUATRI), Centre for Quantum Dynamics, ARC Centre of Excellence for Quantum Computation and Communication Technology. Education: PhD in Physics, The Australian National University, 2001 BSc (Hons) in Physics, The University of Queensland, 1995 His research interests include quantum optics, quantum measurement, entanglement, and applications of quantum technologies. He has led projects funded by ARC and international grants, totaling over AUD 8 million. Key contributions include experimental work on quantum steering, noiseless amplification, and quantum network protocols. Professor Pryde teaches quantum physics and supervises over 20 doctoral students, many of whom have contributed to high-impact research in quantum information science. Grants & Collaborations: ARC Discovery Projects (DP210101651, DP160101911) ARC Future Fellowship (FT110100378) U.S. Asian Office of Aerospace Research and Development (AOARD) Labs & Teams: Quantum Optics and Information Laboratory at Griffith University, collaborating with global teams on photonic quantum computing and quantum metrology.

Per Kristian Rekdalمشاهده پروفایل

دانشیار

• Theoretical Physics
• Quantum Optics
• Quantum Gravity
• +۴ مورد دیگر

Per Kristian Rekdal is an Associate Professor at the Faculty of Logistics, Høgskolen i Molde. His research spans Theoretical Physics (Quantum Optics, Quantum Gravity) and Logistics (Dynamic Pricing, Inventory Management). He earned his M.Sc. (1998) and Ph.D. (2001) from NTNU, followed by postdocs at Imperial College (2002-2004) and Universität Graz (2005-2006). Rekdal leads projects like SKIFT, CC-moon.net, and SimReal, focusing on educational technology and quantum physics. He co-authored books on Quantum Optics and Logistics, and developed the open course platform himoldeX.no. His work bridges physics and logistics, emphasizing digital innovation in education and research. Education: NTNU, Master of Science, 1992-1998 NTNU, Ph.D. in Theoretical Physics, 1998-2001 Imperial College, London, Post Doc, 2002-2004 Universität Graz, Austria, Post Doc, 2005-2006 Research Interests: Rekdal explores quantum phenomena (angular momentum, Casimir effects, atom chips) and logistics optimization (pricing models, inventory systems). His work integrates theoretical physics with applied logistics, leveraging digital tools to enhance education and operational efficiency. Recent projects include quantum state analysis and open online learning platforms. Publications & Media: His top articles address quantum field theory and logistics systems. Media contributions highlight his role in Norway’s educational digitalization. He collaborates with institutions like Imperial College and has authored over 30 books and papers. Awards & Recognition: No explicit awards listed, but his work on himoldeX earned media attention and a nomination for ‘Teacher of the Year’ (2016). Labs & Teams: Leads the Virtual Technologies and Learning research group, advancing digital education and quantum studies at HiMolde.

• Electromagnetics
• Microwave and Antenna Technologies
• Optics
• +۳ مورد دیگر

Assoc. Prof. Dr. Mehmet Nuri Akinci is affiliated with the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). His academic career includes roles as an Associate Professor (since 2019) and Research Assistant at ITU, with additional research experiences at Virginia Commonwealth University and the National Research Council of Italy. His research focuses on electromagnetics, microwave and antenna technologies, optics, and photonics, with applications in biomedical imaging, non-destructive testing, and material characterization. Education: Integrated PhD in Telecommunication Engineering, ITU (2013–2017) Bachelor's in Electronics and Communication Engineering, ITU (2010–2013) Research Interests: Dr. Akinci specializes in microwave imaging systems, qualitative inverse scattering methods, antenna design, and biomedical applications such as hyperthermia treatments and brain imaging. His work integrates deep learning techniques for improved accuracy in medical diagnostics and material analysis. Awards: IEEE Türkiye PhD Thesis Award (2017) TUBITAK National Physics Olympiad Bronze Medal (2010) Academic Excellence Awards (2006–2010) Advising & Grants: He supervises PhD and master’s students in topics like microwave imaging algorithms and hyperthermia treatment optimization. Active projects include designing imaging systems for walnut quality assessment and developing low-cost biomedical phantoms. Labs/Teams: His research group focuses on advanced microwave imaging, antenna technology, and biomedical engineering applications at ITU's Ayazağa Campus.

David J. Klotzkinمشاهده پروفایل

دانشیار

• Optoelectronics
• Photonics
• High-speed Lasers
• +۸ مورد دیگر

David J. Klotzkin is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University, where he has been a faculty member since 2008. He is a Senior Member of the IEEE and has received notable awards, including the departmental research award in 2010 and the Chancellor's Award for Excellence in Teaching (2016-2017). His educational background includes a BS in Electrical Engineering from Rensselaer Polytechnic Institute (1988), an MS in Materials Science from Cornell University (1994), and a PhD in Electrical Engineering from the University of Michigan (1998). His research focuses on High-speed telecommunications lasers Free space modulating retroreflectors Integrated opto-electronic devices Quantum dot lasers and laser dynamics Photonic-band-gap devices Organic luminescent devices Microfluorescence detectors He has contributed to the development of innovative sensors, such as optical oxygen sensors and CMOS-based CO₂ sensors, and advanced fabrication techniques like interference lithography for photonic crystals. David has also pioneered a multidisciplinary STEM scholarship program for community college transfer students, emphasizing nanotechnology and microfabrication through hands-on research projects. His teaching portfolio includes courses such as EECE 506: Mathematical Methods in Electrical Engineering EECE 260: Electrical Circuits Advanced Semiconductor Lasers at both Binghamton and the University of Cincinnati David has advised numerous students, including those in the classes of 2014, 2015, and 2016. His work extends to collaboration with industry partners like IBM and the Naval Research Lab, and he has led the Klotzkin Lab, which explores cutting-edge optoelectronic and photonic systems. Key contributions include the Glaparex simulation tool, which optimizes distributed feedback lasers, and the development of microfluidic lab-on-a-chip sensors for biomedical applications.

Jean-Paul M.G. Linnartzمشاهده پروفایل

استاد

• Optical Wireless Communication
• LiFi Technology
• Information Security
• +۲ مورد دیگر

Jean-Paul M.G. Linnartz is Full Professor in the Signal Processing Systems group at Eindhoven University of Technology and Research Fellow at Signify (Philips Lighting). His research spans optical wireless communications, security systems, and signal processing algorithms. Key contributions include: Pioneering work on LiFi technology and visible light communication systems Innovations in biometric security and electronic watermarking OFDM and MC-CDMA techniques for wireless networks Publications show consistent focus on bridging fundamental algorithms with practical applications in lighting and communication systems. Recent work advances LED channel modeling and photonic communication frameworks. He holds over 75 patents and has co-founded three technology ventures. As Senior Director at Philips Research (1995-2008), he led groups in security, connectivity, and IC design. Honors include IEEE Fellowship (2011) for contributions to communications technology. Current projects include OptiLiFi (optimizing LiFi communication) and ELIoT (Enhance Lighting for Internet of Things), developing next-generation optical wireless networks.