جستجوی استاد راهنمای دانشگاهی

Martin Haenggiمشاهده پروفایل

استاد

• Wireless Networks
• Stochastic Geometry
• Communications Theory
• +۷ مورد دیگر

Prof. Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and Concurrent Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He holds a Dr.sc.techn. (Ph.D.) from ETH Zurich and has been at Notre Dame since 2000. His research focuses on stochastic geometry and wireless networks, including cellular, heterogeneous, vehicular, and millimeter-wave systems. He has held sabbaticals at UCSD (2007–2008), EPFL (2014–2015), and ETH Zurich (2021–2022). Education: Dipl.-Ing. (M.Sc.), ETH Zurich, 1995 Dr.sc.techn. (Ph.D.), ETH Zurich, 1999 Research interests emphasize stochastic geometry for analyzing network performance, including coverage, interference, and reliability in wireless systems. Key areas include meta distributions, spatial-temporal analysis, and network optimization. His work has been recognized with IEEE Fellow status, Clarivate Highly Cited Researcher distinction, and NSF CAREER Award (2005). Grants and Awards: NSF Award (Deep Stochastic Geometry: 2020–2023) NSF Award (Toward a Stochastic Geometry for Cellular Systems: 2015–2019) Rice Prize (2017), Best Survey Paper Award (2017), and Best Tutorial Paper Award (2010) from IEEE Communications Society Teaching includes advanced courses on stochastic geometry, wireless networks, and signal processing. His lab focuses on theoretical and applied aspects of network modeling, with collaborations in industry and academia.

Marilyn J Smithمشاهده پروفایل

استاد

• Unsteady Aerodynamics
• Computational Aeroelasticity
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Marilyn J Smith is the David S. Lewis Professor and Director of the Vertical Lift Research Center of Excellence (VLRCOE) at the Georgia Institute of Technology's Daniel Guggenheim School of Aerospace Engineering. She leads a seven-university consortium conducting vertical lift research for the U.S. Army, Navy, and NASA, and has secured over $200 million in collaborative research funding. Computational Nonlinear Computational Aeroelasticity Lab Director NASA FUN3D development team contributor Aerospace Systems Design Lab (ASDL) affiliate Her research spans unsteady aerodynamics, computational aeroelasticity, and sustainable energy applications across rotary-wing, fixed-wing, and launch vehicles. She serves on the Vertical Lift Consortium (VLC) Board of Directors and Vertical Flight Society (VFS) Board, while acting as VFS Deputy Technical Director for Aeromechanics and leading international NATO AVT panels on UAV aerodynamics. Recent publications focus on galaxy cluster cosmology, ship-helicopter dynamic interface modeling, and Type Ia supernova analysis. She has won prestigious awards including the AIAA Aerodynamics Award and multiple American Helicopter Society honors for research, mentoring, and service. 2022 AIAA Aerodynamics Award 2015 Best Paper Awards at AHS Forum 2014 & 2012 AHS Agusta-Westland International Fellowships Her laboratory work integrates high-performance computing with aerospace design and develops advanced turbulence models through partnerships with Georgia Tech Research Institute (GTRI). She contributes to public science communication with appearances on National Geographic, PBS, NPR, and local media.

Ebrahim Bedeer Mohamedمشاهده پروفایل

استادیار

• Signal Processing
• Wireless Communications
• Artificial Intelligence
• +۳ مورد دیگر

Ebrahim Bedeer Mohamed is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan. He joined in July 2019, following roles as an Assistant Professor (Lecturer) at Ulster University, UK, and postdoctoral fellowships at Carleton University and the University of British Columbia. He holds a Ph.D. (Distinction) from Memorial University of Newfoundland (2014), with expertise in signal processing and wireless communications. His research focuses on optimizing communication systems through advanced signal processing techniques, including faster-than-Nyquist signaling, IoT network design, AI integration, and energy-efficient protocols. Key areas include next-generation communication networks, non-orthogonal modulation, and MIMO systems. Notable contributions include work on channel estimation for FTN signaling, RIS-aided wireless systems, and LR-FHSS protocols in IoT. His publications span spectral efficiency, interference minimization, and energy management in 5G/6G contexts. He actively seeks Ph.D. students with strong backgrounds in signal processing fundamentals. Awards and grants are not explicitly listed in the provided texts. His work emphasizes practical applications, such as UAV trajectory optimization for IoT data collection and energy-efficient caching strategies in dynamic networks.

James Lacefieldمشاهده پروفایل

استاد

• Biomedical Ultrasound Imaging
• Vascular Imaging
• Cancer Research Applications
• +۵ مورد دیگر

James Lacefield is a Professor in both the Department of Electrical and Computer Engineering and the Department of Medical Biophysics at Western University. He serves as Director of the School of Biomedical Engineering and maintains his research laboratory in the Amit Chakma Engineering Building. His academic appointments span multiple disciplines, reflecting the interdisciplinary nature of his work in biomedical ultrasound imaging. Dr. Lacefield earned his Ph.D. and B.S.E. in Biomedical Engineering from Duke University. His educational background established the foundation for his current research program that bridges engineering principles with medical applications. His research focuses on the physical acoustics and signal processing aspects of ultrasound imaging, with particular emphasis on quantitative vascular imaging applications. Dr. Lacefield's laboratory develops novel methods for color Doppler, power Doppler, and contrast-enhanced ultrasound imaging, with primary applications in cancer research. Current projects include optimization of high-resolution ultrasound systems for tumor vascular characterization and development of methods to quantify spatial blood flow distribution in tumors. Analysis of his recent publications reveals a strong focus on quantitative ultrasound techniques for cancer applications, with particular attention to tumor perfusion assessment using contrast-enhanced ultrasound. His work demonstrates increasing sophistication in speckle analysis methods to improve the reliability of perfusion measurements in preclinical tumor models. Associate Editor, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Member, Council of Chairs of Bioengineering and Biomedical Engineering Member, College of Reviewers, Canadian Institutes of Health Research Dr. Lacefield maintains active collaborations with multiple research groups including the Imaging Research Laboratories at Robarts Research Institute. His professional activities include editorial work for major ultrasound journals and participation in national review panels for biomedical research funding.

• Machine learning
• Artificial intelligence
• Big data analytics
• +۸ مورد دیگر

Gianluca Setti is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where he has been serving since 2017. He previously held positions at the University of Ferrara from 1997 to 2017. His institutional roles include being the Contact Person for the Research Quality Evaluation process, Member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and Member of the University Quality Assurance Committee. He serves as Editor-in-Chief of the Proceedings of the IEEE, the first non-US editor to hold this position. Dr. Setti's research spans multiple interdisciplinary fields including machine learning, artificial intelligence, big data analytics, Internet of Things, biomedical signal processing, power electronics, and electromagnetic compatibility. His work bridges theoretical foundations with practical applications, particularly focusing on compressed sensing, neural networks, and circuit design for specialized applications. His research has significant implications for healthcare, sustainable infrastructure, and next-generation electronics. His publication record reveals a consistent trajectory from foundational work in chaotic systems and neural networks to contemporary applications in AI, IoT, and edge computing. The most recent publications demonstrate his focus on anomaly detection at the edge, neural oracles for biosignal processing, and power electronics innovations. His work shows strong integration between theoretical signal processing and practical circuit implementation. 1998 Caianiello prize (best Italian Ph.D. thesis on Neural Networks) IEEE Fellow (2006) IEEE Circuits and Systems Society Distinguished Lecturer (2004, 2015) 2004 IEEE CAS Society Darlington Award 2013 IEEE CAS Society Meritorious Service Award 2013 IEEE CAS Society Guillemin-Cauer Award 2019 IEEE Transactions on Biomedical Circuits and Systems best paper award Multiple best paper awards at major conferences including ECCTD2005, EMCZurich2005, ISCAS2011, PRIME2019, and EMCCOMPO2019 Dr. Setti has supervised numerous PhD students across various research domains including electromagnetic compatibility, signal and power integrity, communication networks, mechatronics and robotics. His research is supported by significant funding including national PRIN projects, EU-funded JTI-ECSEL initiatives, and commercial contracts. He leads the VLSILAB Group at DET, focusing on circuit architectures, embedded systems, and AI applications. His current projects include DECORI (anomaly detection), StorAIge (embedded storage for AI), PROGRESSUS (energy infrastructure), CONNECT (smart grid), and CONVERGENCE (wearable healthcare applications).

• Topology of Complex Systems
• Higher-order Networks
• Topological Neuroscience
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, where he joined in June 2023. Previously, he held positions at CENTAI as a Principal Researcher and at IMT Lucca as a Guest Scholar, with earlier affiliations at ISI Foundation and Imperial College London. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Petri's research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems. His work in Topological Neuroscience explores brain architecture using algebraic topology, while his research in Cognitive Neuroscience focuses on neural mechanisms underlying human cognition. He is particularly known for his work on higher-order networks, using mathematical frameworks like hypergraphs and simplicial complexes to model systems with multi-way interactions. His recent publications (2023-2025) demonstrate a strong focus on higher-order network theory applied to neuroscience, with particular emphasis on topological approaches to brain connectivity, social contagion models, and the physics of complex systems. These works reveal consistent themes in understanding how multi-body interactions shape system dynamics across biological, social, and technological domains. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems, 2024) As Principal Investigator of the NPLab, Petri advises numerous PhD and postdoctoral researchers including Marilyn Gatica, Andrea Santoro, and Simone Poetto. His RUNES project, funded by the ERC Consolidator Grant, represents a significant research initiative. The lab maintains active collaborations with CENTAI, Project CETI (Cetacean Translation Initiative), and various international institutions. The NPLab investigates the role of topology and geometry in the collective dynamics of complex systems, ranging from neuroscience to society, using statistical mechanics, algebraic topology, and innovative computational approaches. Current projects include Topological Neuroscience, Cognitive Neuroscience, Higher-order Networks, Project CETI, and RUNES.

Deirdre Collinsمشاهده پروفایل

پژوهشگر ارشد

• Clostridium difficile Infection
• Infectious Disease Epidemiology
• Molecular Epidemiology
• +۳ مورد دیگر

Dr. Deirdre Collins is an NHMRC Early Career Fellow at Edith Cowan University (ECU), affiliated with the School of Medical and Health Sciences. She collaborates with Professor Thomas Riley's research group at PathWest Laboratory Medicine, QEII Medical Centre. Her primary focus is Clostridium difficile infection epidemiology, molecular diagnostics, and antimicrobial resistance. Dr. Collins holds a PhD from the University of Western Australia (2017) and a Master of Infectious Diseases (2011). Research Interests: Clostridium difficile infection, infectious disease epidemiology, molecular epidemiology, One Health, antimicrobial resistance. Key Projects: Includes a One Health/System Dynamics approach to reducing C. difficile infections (NHMRC Ideas Grant 2022–2025) and studies on environmental sources of C. difficile in hospitals. Her research spans Asia-Pacific regions, emphasizing community and hospital-acquired infections. Notable achievements include: Published over 50 peer-reviewed articles on C. difficile genomics, transmission dynamics, and environmental contamination. Received awards such as the Australasian Epidemiological Association Travel Award (2018) and Vice-Chancellor's Excellence in Research Award (2018). Active in grants totaling over $2M, including NHMRC Early Career Fellowship (2019–2023). Dr. Collins' work bridges laboratory research and public health policy, addressing global health challenges through interdisciplinary collaboration.

• Telecommunications
• Communication Systems
• Satellite Communications
• +۷ مورد دیگر

Roberto Garello is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . He specializes in Communication Systems , Satellite Networks , and Channel Coding , with a focus on 5G/6G Technologies and Non-Terrestrial Networks . His work aligns with the School of Master’s Programmes and Lifelong Learning . Research Interests: Satellite communications systems, Direct-to-Satellite IoT constellations, Mega-constellation services in space, and physical layer advancements for 5G/6G. Teaching: Offers courses like Information Theory for Data Science , Communication and Network Systems , and Space Exploration and Resources , while supervising Applied Signal Processing Laboratory . Projects: Leads initiatives such as DitDSSS (satellite localization), RESTART (future telecommunications), and TESL@ (ICT energy efficiency). Scientific Awards: Received Best Paper Awards at CTRQ 2010 and COCORA 2013. Students: Supervises PhD candidates including Alessandro Compagnoni, Agbotiname Lucky Imoize, and Riccardo Tuninato, focusing on topics like Wireless Communication, Machine Learning, and Non-Terrestrial Networks. Publications: His recent work explores OTFS vs. OFDM, spectrum sensing algorithms, MIMO with cylindrical arrays, and 5G NTN synchronization, reflecting trends in satellite IoT and machine learning integration.

Ahmet Bindalمشاهده پروفایل

استاد

• Nano-scale Electron Devices
• Silicon Nanowire Transistors
• VLSI Architecture
• +۴ مورد دیگر

Professor Ahmet Bindal is a faculty member in the Department of Computer Engineering at San José State University . He earned his B.S. in Electrical Engineering from Bogazici University, Turkey, followed by M.S. and Ph.D. degrees from the University of California, Los Angeles. Industry Experience : 20 years at IBM, Intel, Philips, and Cadence Design Systems. Current Research : Nano-scale electron devices, silicon nanowire transistors, robotics, and VLSI architecture. Research Trends : His work focuses on silicon nanowire transistors for VLSI, FPGA, and robotics. Key themes include low-power/high-speed integrated circuits , dynamic logic design , neuromorphic engineering , and advanced semiconductor processing . Patents and Publications : He holds four U.S. patents (three with IBM, one with Intel). His 30+ journal and conference publications span nanowire transistors, FPGA architecture, robotics, and semiconductor process modeling. Teaching Contributions : Developed an undergraduate System-on-Chip (SoC) course and a MOSFET design laboratory at SJSU. Books Authored : Fundamentals of Computer Architecture and Design (Springer, 2017). Electronics for Embedded Systems (Springer, 2017). Silicon Nanowire Transistors (Springer, 2017).

Morgan W. Mitchellمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Sensing
• Atomic Physics
• +۵ مورد دیگر

The Atomic Quantum Optics Group at ICFO, Barcelona , led by Morgan W. Mitchell , investigates quantum phenomena at the interface of light and matter. The group develops advanced sensing technologies with applications in biomedicine, space science, and fundamental physics. Research focuses on ultra-cold atoms, high-coherence photons, and entanglement, aiming to understand and utilize atomic coherence for quantum technologies. Their work includes pushing sensitivity limits in magnetic field detection, quantum thermometry, and miniaturized quantum devices. Recent publications highlight advancements in cavity-enhanced spin detection , anomalous noise in SERF magnetometry , and spread-spectrum magnetic sensing . These studies span quantum optics, atomic physics, and applied quantum technologies. Scientific awards include mentoring students like Joanna Zielinska and Carlos Abellan , who won the UPC Thesis Prize. The group actively trains PhD students, postdocs, and visiting researchers in quantum technologies.

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

• Communications Theory
• Wireless Communications
• Information Theory
• +۱ مورد دیگر

Dr. Ajit Kumar Chaturvedi is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Communications Theory and Systems. With decades of experience at IIT Kanpur, he has established himself as a leading researcher and educator in wireless communications and information theory. Dr. Chaturvedi earned his B.Tech (1986), M.Tech (1988), and PhD (1995) all in Electrical Engineering from IIT Kanpur, demonstrating his deep institutional commitment. His educational background reflects his dedication to academic excellence at his alma mater. His research focuses on Communications Theory and Systems, with specific expertise in Wireless Communications, Information Theory, and Spread Spectrum Systems. Dr. Chaturvedi's work bridges theoretical foundations with practical applications in modern communication technologies. His contributions have significantly advanced the understanding of signal processing techniques, multiuser detection methods, and error analysis in wireless systems. His research has direct implications for improving the reliability and efficiency of contemporary wireless communication standards. Dr. Chaturvedi's publication record demonstrates consistent contributions to communications engineering, spanning from fundamental signal processing techniques to complex system-level analyses. His work on ISI mitigation, orthogonal sequence design, and error rate analysis shows both theoretical rigor and practical relevance for real-world communication challenges. Distinguished Teacher award of IIT Kanpur (2007) Tan Chin Tuan Fellowship of NTU, Singapore (2008) Supervisor of Best B. Tech Project groups (2002, 2006, 2012) Plenary speaker at the 15th National Conference on Communications (2009) Mentor of IEEE Computer Society International Design Contest winning team (2002) As an educator, Dr. Chaturvedi has supervised numerous award-winning student projects, including three Best B.Tech Project awards. He has mentored teams to international recognition, such as the Microsoft Award for Innovation at the IEEE Computer Society International Design Contest World Finals in 2002. His office is located in ACES 201B at IIT Kanpur, where he continues to contribute to the academic and research mission of the institution.

• Plasma Physics
• Magnetic Fusion Plasmas
• Turbulence
• +۴ مورد دیگر

Özgür D. Gürcan is a 2nd Class Research Officer (Researcher) at the Plasma Physics Laboratory (LPP), affiliated with CNRS and École Polytechnique in France. He has been with LPP since December 2009, contributing to research in plasma turbulence and fusion energy. Previously, he held postdoctoral and research positions at the University of California, San Diego (UCSD), where he also served as a Summer Lecturer in 2004. His work bridges fundamental plasma physics and applied fusion science, emphasizing interdisciplinary collaboration. Education: PhD in Physics, University of California, San Diego (2005) BS in Physics, Middle East Technical University, Turkey (1999) Research Interests: His primary focus lies in turbulence, transport, and rotation mechanisms in magnetic fusion plasmas. He investigates self-organization phenomena, nonlinear dynamics, and pattern formation, particularly within tokamak systems. Key topics include plasma angular momentum, intrinsic rotation, electric field shear, and drift-wave turbulence. His work combines theoretical models and experimental data to advance understanding of confinement challenges in fusion research. Publications Trends: Gürcan’s publications (2000–2009) consistently address turbulence in magnetically confined plasmas. Early work (e.g., 2000) explored foundational plasma dynamics, while later contributions (2005–2009) delved into drift-wave turbulence and its implications for fusion energy. He frequently collaborates with international teams, publishing in top journals like Phys. Rev. Lett. and Physics of Plasmas . Awards and Grants: No scientific awards or grant information is explicitly mentioned in the provided texts. Advising and Labs: He is part of the Plasma Physics Laboratory (LPP), a joint CNRS-École Polytechnique-Sorbonne University unit. While no formal advisees are listed, his research contributions align with training doctoral students in plasma physics through collaborative projects. His work is supported by the LPP’s technical infrastructure and digital simulation expertise.

Valentina KRACHMALNICOFFمشاهده پروفایل

پژوهشگر

• Nanophotonics
• Plasmonics
• Near-field Optics
• +۵ مورد دیگر

Valentina KRACHMALNICOFF is a CNRS Research Scientist at Institut Langevin, affiliated with ESPCI Paris and PSL University. She joined the institute in 2012 after completing her postdoctoral fellowship there in 2010. Her research focuses on experimental nanophotonics, particularly studying near-field interactions between fluorescent nano-emitters and nanostructured plasmonic or dielectric materials. Dr. KRACHMALNICOFF obtained her PhD from University Paris-Sud in 2009 with a thesis on quantum atom optics experiments supervised by Alain Aspect and Charles Westbrook. Her research interests span experimental nanophotonics with plasmonic and dielectric media, near-field optical microscopy with fluorescent nanoprobes, quantum optics applications, and the study of electromagnetic local density of states. She has developed expertise in fluorescence intensity and decay rate measurements of nano-objects grafted on scanning probe microscope tips, as well as nano-manipulation techniques. Her work bridges fundamental physics with potential applications in quantum technologies, biosensing, and thermal management at the nanoscale. She frequently employs super-resolution imaging techniques to overcome diffraction limits in optical measurements. Analysis of Dr. KRACHMALNICOFF's recent publications reveals a strong methodological evolution toward increasingly sophisticated combinations of experimental techniques with theoretical modeling. Her work consistently focuses on probing light-matter interactions at the nanoscale, with growing integration of biophysical approaches. The publications demonstrate expertise in thermal radiation at nanoscale distances, plasmonic and dielectric nanostructures, and super-resolution fluorescence lifetime imaging. Her research shows a trajectory from fundamental near-field optics toward applications in quantum information and biosensing. Dr. KRACHMALNICOFF has received notable scientific recognition: 2017: CNRS Bronze Medal for her pioneering work in nanophotonics 2007: L'Oréal France - UNESCO "For Women in Science" Prize Dr. KRACHMALNICOFF actively mentors doctoral students and postdoctoral researchers. Current advisees include Guillaume Blanquer and Dorian Bouchet (PhD candidates) and Vivien Loo (postdoctoral researcher). Former students include Da Cao and Etienne Castanié. Her research is supported by CNRS funding and collaborative grants with other institutions, evident from her extensive co-authorship network spanning theoretical physicists, materials scientists, and optical engineers. Dr. KRACHMALNICOFF leads an experimental research team at Institut Langevin specializing in nanophotonics. Her laboratory features advanced near-field optical microscopy capabilities, fluorescence lifetime imaging systems, and nano-manipulation setups. The team collaborates closely with other researchers at Institut Langevin, including Yannick De Wilde (CNRS Research Director) and Ignacio Izeddin (Associate Professor at ESPCI), forming a cohesive research group focused on light-matter interactions at the nanoscale.

Marwa Chafiiمشاهده پروفایل

دانشیار

• Wireless Communications
• Integrated Sensing and Communication
• Machine Learning for Wireless Communications
• +۳ مورد دیگر

Marwa Chafii is an Associate Professor of Electrical Engineering at New York University (NYU) Abu Dhabi and an associated faculty member at the NYU Tandon School of Engineering. She joined NYU Abu Dhabi in 2021 after holding roles as a research group leader at TU Dresden (Germany) and an associate professor at ENSEA (France) with a Chair of Excellence in AI. Her research focuses on advanced waveform design, integrated sensing and communication (ISAC), machine learning for wireless communications, and localization . Education: PhD and Master’s in Electrical Engineering from CentraleSupélec, France. Visiting researcher stints at institutions including Poznan University of Technology, University of York, and University of Oxford. Awards & Recognition: IEEE ComSoc Best Young Researcher Award (EMEA region) Best Editor Award for IEEE Communications Letters (2020) Nominated Top 10 Rising Stars in Computer Networking & Communications (2020) French National Council of Universities (CNU 61) AI Excellence Chair (2018–2022) Best PhD in France (Signal, Image & Vision) Professional Roles: Vice-chair of IEEE ComSoc ETI on Machine Learning for Communications Education Lead for IEEE ComSoc ETI on Integrated Sensing & Communications Associate Editor for IEEE Transactions on Communications and IEEE Communications Letters Research Contributions: Over 50+ publications in top-tier journals/conferences (IEEE Transactions, Globecom, ICC) Active in ISAC, 6G waveform design, and AI-driven communication systems Leading the NYU Wireless Research Lab focused on ISAC and future wireless systems