جستجوی استاد راهنمای دانشگاهی

Francesca Stradoliniمشاهده پروفایل

مدرس

• Bioelectronics
• IoT for Medical Monitoring
• Anesthesia Delivery Systems
• +۳ مورد دیگر

Francesca Stradolini is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Electrical Engineering Doctoral School (EDEE). She holds a PhD in Electrical Engineering from EPFL (2018), with prior education in Bio Engineering and Neuroscience from the University of Genoa (2012, 2015). Her current work focuses on R&D engineering for medical devices, emphasizing system lifecycle management, human factors engineering, and compliance with CE/FDA regulations. As an invited guest, she contributes to usability engineering education and interdisciplinary research at EPFL. PhD: IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery (EPFL, 2018) MSc: Bio Engineering (University of Genoa, 2015) BSc: Bio Engineering (University of Genoa, 2012) Her research spans bioelectronics, IoT-enabled medical monitoring, and electrochemical sensor development for clinical applications. Key areas include anesthesia delivery systems, wearable diagnostics, implantable devices, and human factors engineering. Her work integrates fluidic systems, noble metal nanostructures, and open-source hardware (e.g., Raspberry Pi) to address challenges in traceability, fouling mitigation, and pharmacokinetic modeling. Scientific recognition includes the Ville de Lausanne Award (2019) , EPFL Outstanding PhD Thesis Distinction (2018) , and a Best Paper Award at MOBIHEALTH (2016) . She has published extensively in journals like IEEE TBIOCAS, Sensors and Actuators B, and IEEE Sensors Journal, with collaborative studies on propofol monitoring, carbon nanoallotrope drug detection, and implantable sensor validation. Her technical expertise includes managing medical device development lifecycles, designing IoT architectures for intensive care, and optimizing electrochemical sensors for stability in undiluted biological fluids. She has contributed to conferences such as IEEE BioCAS, ISCAS, and MOBIHEALTH, focusing on translational studies in personalized medicine and 3D-printed medical systems.

Huaxiu Yaoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Robotics
• +۷ مورد دیگر

Huaxiu Yao is an Assistant Professor at the University of North Carolina at Chapel Hill, holding a joint appointment in the School of Data Science and Society and the Department of Computer Science (College of Arts & Sciences). His research focuses on building reliable large-scale AI models (foundation models) with applications in healthcare, robotics, genomics, and transportation. He leads the AIMING Lab, which explores adaptive intelligence through alignment, interaction, and learning. Education: Ph.D. from Pennsylvania State University (2021), Postdoctoral Scholar at Stanford University (hosted by Chelsea Finn). Research Interests: Generalizable AI agents, preference alignment, out-of-distribution generalization, embodied AI, and multimodal reasoning. Key applications include biomedicine, robotics, and vision-language systems. Notable Awards: KDD Best Paper Award (2024), Amazon Research Awards (2025), TMLR Outstanding Paper Award (2024). Advising & Labs: Recruits Ph.D. and intern students. Leads the AIMING Lab, affiliated with UNC NLP Group. Organizes workshops on foundation models (ICML 2024) and trustworthy AI systems. Publications: Over 40 peer-reviewed papers, including top venues like ICLR, NeurIPS, and ICML. Focuses on AI alignment, multimodal systems, and domain generalization.

Ismail Guvencمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Networks
• UAV Networks
• +۶ مورد دیگر

Dr. Ismail Guvenc is a Full Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He holds an IEEE Fellowship and is a Senior Member of the U.S. National Academy of Inventors. His research focuses on 5G/6G wireless systems, UAV communications, heterogeneous networks, and spectrum management. He leads the NSF AERPAW project and serves as the NC State Site Director for the NSF BWAC I/UCRC center. Dr. Guvenc has authored/co-edited four books and holds over 30 U.S. patents. Education: Ph.D. in Electrical Engineering, University of South Florida (2006) Master's in Electrical and Computer Engineering, University of New Mexico (2003) Bachelor's in Electrical Engineering, Bilkent University, Turkey (2001) Research Interests: Dr. Guvenc’s work spans UAV communication systems, 5G/6G networks, spectrum sensing, and machine learning for network optimization. He emphasizes experimental validation through platforms like AERPAW, focusing on drone-based networks, radio dynamic zones, and testbed-driven innovation. His contributions address challenges in UAV localization, interference management, and energy-efficient networks. Grants & Leadership: PI and Director of NSF AERPAW (2019–Present) NC State Site Director for NSF BWAC I/UCRC (2019–Present) Recipient of NSF CAREER Award (2015) and NC State Faculty Scholar Award (2021) Publications & Awards: He has authored over 130 peer-reviewed papers and contributed to standardization efforts. His awards include the R. Ray Bennett Faculty Fellow Award (2019) and the USF Outstanding Dissertation Award (2006). Labs & Teams: Dr. Guvenc directs research in the ECE’s wireless communications group, leveraging AERPAW’s experimental capabilities to advance UAV networks and 6G technologies. His team collaborates with industry and government on spectrum policy and autonomous systems.

• Radar System Design
• Signal Processing
• MIMO Radar
• +۶ مورد دیگر

Professor Kim Eun-hee is a faculty member in the Department of Defense Systems Engineering at Sejong University, specializing in advanced radar technologies and signal processing. Her work bridges theoretical research and practical applications in defense systems. Ph.D. in Mechanical Engineering (2004), KAIST M.Sc. in Engineering (1996), KAIST B.Sc. in Precision Engineering (1994), KAIST Her research focuses on radar system design, including airborne active phased array radar, automotive radar, broadband noise radar, and over-the-horizon radar. She explores waveform optimization, MIMO architectures, and signal processing algorithms to enhance radar performance in complex environments. Publications highlight her expertise in MIMO radar configurations, Doppler-insensitive waveforms, and machine learning integration for signal analysis. She leads industry-academic collaborations with organizations like Hanwha Systems and LIG Nex1. She contributes to technical committees, including the Sensor and Signal Processing Division of the Korean Society of Military Science and Technology. Her laboratory (Defense Radar Technology Laboratory) focuses on radar design, signal processing, and sensor integration.

Mathieu Joergerمشاهده پروفایل

دانشیار

• Navigation Systems
• Autonomous Systems
• Dynamics and Control
• +۶ مورد دیگر

Dr. Mathieu Joerger is an Associate Professor in the Aerospace & Ocean Engineering Department at Virginia Tech, leading the Assured Vehicle Autonomy (AVA) Lab. He holds a Ph.D. (2009), M.S. (2002), and Diplôme d’Ingénieur (2002) from Illinois Institute of Technology and INSA Strasbourg. His research focuses on navigation safety, multi-constellation GNSS, and autonomous system integrity. He serves as Technical Editor for IEEE Transactions on Aerospace and Electronic Systems and co-leads the CARNATIONS initiative for resilient PNT systems. Notable awards include the ION Early Achievement Award (2015) and Bradford W. Parkinson Award (2009). Research interests include GNSS augmentation, LiDAR/IMU integration, and safety quantification for autonomous vehicles. His lab collaborates with industry/government on projects like CAAMS and develops methods to detect GNSS interference using UAS. Key publications address integrity monitoring in SLAM, particle filtering, and Kalman filter applications. Education: Ph.D. Mechanical & Aerospace Engineering, Illinois Tech (2009); M.S. Mechanical Engineering, Illinois Tech (2002); Diplôme d’Ingénieur, INSA Strasbourg (2002). Awards: ION Early Achievement Award, Outstanding NAVIGATION Reviewer, Bradford W. Parkinson Award. Professional Roles: Senior Editor for IEEE Transactions, ARAIM Standards Contributor, CARNATIONS Co-Director. Advises multiple PhD/Master’s students and oversees lab activities involving 20+ researchers. Projects include R-PNT systems, UAS-based RFI localization, and automotive GNSS safety. Active in international conferences like ION GNSS+ and AIAA forums.

Binbin Xieمشاهده پروفایل

استادیار

• Wireless Sensing
• Mobile Health
• Cyber-physical Systems
• +۵ مورد دیگر

Dr. Binbin Xie is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA). She holds a Ph.D. from the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, where she was a recipient of the prestigious Google PhD Fellowship in Mobile Computing. Her research focuses on wireless sensing, mobile health, cyber-physical systems, smart IoT, and wireless networking. Dr. Xie’s academic journey includes a tenure-track position at UTA since September 2024. She has received notable awards such as the Emerging Rockstar (IEEE Pervasive Computing, 2025), Rising STARs Award (UT System, 2024), and multiple scholarships including the Krithi Ramamritham Computer Science Scholarship (2023). Her work spans innovative applications in wireless sensing, leveraging LoRa, mmWave radar, and RFID technologies for real-world challenges like in-vehicle sensing and indoor localization. Her recent publications highlight advancements in LoRa sensing coexistence with communication, mmWave radar human sensing using secondary reflections, and combating interference in multi-target localization. She actively contributes to the academic community through service roles, including Technical Program Committee memberships for MobiSys 2025 and EWSN 2025, and as a reviewer for top-tier conferences like IMWUT/UbiComp and journals such as ACM Transactions on Sensor Networks. Dr. Xie’s teaching includes courses like CSE 4321 (Software Testing & Maintenance). Her research and educational efforts aim to bridge theoretical innovations with practical implementations in wireless and IoT systems.

• Fluid Mechanics
• Civil Engineering
• Environmental Engineering
• +۶ مورد دیگر

Professor Tongming Zhou is a faculty member in the Department of Civil, Environmental and Mining Engineering at the School of Engineering, The University of Western Australia (UWA) . He serves as Director of the UWA Boundary Layer Wind Tunnel Laboratory and Program Chair for Civil Engineering , contributing to both academic leadership and industrial applications. His work bridges fundamental fluid mechanics with practical engineering challenges. Education : PhD in Fluid Mechanics from The University of Newcastle (1999) Teaching : Coordinates core units like CIVL2551, CIVL5551, and CIVL4402/CIVL3402 Hydraulics, emphasizing real-world application and industry collaboration Research Interests focus on: Suppression of vortex shedding and vortex-induced vibrations (VIV) in cylindrical structures Enhancement of VIV and galloping for renewable energy harvesting Wave resonance in floating LNG facilities Sloshing dynamics in tanks with Newtonian/non-Newtonian fluids Wind tunnel testing for industrial wind load analysis Recent Research Trends show interdisciplinary work combining experimental and numerical fluid dynamics, with applications to offshore engineering, maritime safety, and energy systems. His projects explore VIV in flexible risers, gas leakage effects on pipelines, and triboelectric nanogenerators for wind energy. Grants : ARC Grant (2019-2021): Development of novel inerter-based dampers ARC Grant (2013-2015): Local Scour below Offshore Pipelines ARC Grant (2011-2015): Vortex & Force Characteristics of Inclined Cylinders UWA Grant (2008): Control of Vortex Shedding with Helical Strakes Facilities Leadership : Upgraded UWA’s Boundary Layer Wind Tunnel , Hydraulic Laboratory Water Flume , and 6DOF Hexapod motion platform , acquiring advanced equipment like PIV systems and high-precision load cells.

Michael Feeleyمشاهده پروفایل

دانشیار

• Operating Systems
• Distributed Systems
• File Systems
• +۷ مورد دیگر

Michael Feeley is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Institute for Computing, Information and Cognitive Systems (ICICS). His research focuses on operating systems, distributed systems, and their applications in scalable file systems, cloud storage, and mobile computing. He leads projects such as the Unico file system, Parallax storage system, and Remus virtual machine replication framework. His research interests include peer-to-peer file systems, mobile ad hoc networks, interference mitigation in wireless networks, and system software for workstation clusters. He has supervised numerous graduate students, contributing to advancements in distributed systems and networking. His work often addresses challenges in resource management, fault tolerance, and performance optimization. Publications span topics like interference detection in WiFi networks, dynamic program analysis (Tralfamadore), and distributed storage solutions. Feeley teaches courses such as CPSC 213, emphasizing operating systems fundamentals. His office is located in CISR 393, with contact details available via email and phone.

• Wireless Communications
• Signal Processing
• 5G/6G Networks
• +۳ مورد دیگر

Mikko Valkama is a Professor at the Department of Communications Engineering , part of the Faculty of Information Technology and Communication Sciences at Tampere University . His research focuses on advanced wireless communication systems, positioning technologies, and integrated sensing and communication (ISAC). He holds an Orcid ID ( 0000-0003-0361-0800 ) and can be reached at mikko.valkama@tuni.fi . Research interests span 5G/6G networks , RF antenna design , deep learning for signal processing , and millimeter-wave systems . He leads projects on positioning algorithms (e.g., mmWave SLAM, NLOS mitigation), ISAC architectures, and hardware-efficient transmitter linearization. Notable contributions include works on DECT-2020 NR standards, phase-based localization, and RIS-assisted systems. In 2025 alone, his group published over 30 articles on topics such as: Antenna array design for Ka-band and wideband applications Machine learning for power amplifier predistortion Bistatic radio SLAM and mmWave mapping Covert transmission and physical-layer security His work bridges theoretical advancements with practical implementations, often validated through experimental setups (e.g., TUJI1 dataset for indoor localization). No scientific awards were explicitly listed in the provided texts.

Ningning Houمشاهده پروفایل

مدرس

• Low Power Wide Area Networks (LPWANs)
• Internet-of-Things
• Wireless Sensing
• +۳ مورد دیگر

Ningning Hou is a Lecturer in Computing (IoT/Networking) at Macquarie University's School of Computing. They are affiliated with the Future Communications Research Centre and Data Horizons Research Centre. Previously, they served as a Postdoctoral Fellow at The Hong Kong Polytechnic University (PolyU) and earned their PhD in Computer Science from PolyU in 2021, followed by a B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (2017). Research Interests: Low Power Wide Area Networks (LPWANs) Internet-of-Things (IoT) Wireless Sensing and Networking Wireless Security Recent research focuses on enhancing LoRa communication through innovations like full-duplex gateways (FDLoRa) and scalable logical channels (XGate), addressing challenges in network scalability, signal interference, and security threats. Their work spans topics such as data aggregation efficiency, antenna diversity, and covert channel mitigation. Advising: Actively seeking self-motivated PhD students and researchers for projects in LPWANs, edge computing, and wireless security. Labs/Teams: Involved with Future Communications Research Centre and Data Horizons Research Centre.

Matthew Lakinمشاهده پروفایل

دانشیار

• Molecular Computing
• DNA Nanotechnology
• Synthetic Biology
• +۷ مورد دیگر

Matthew Lakin is an Associate Professor with tenure in the Department of Computer Science at the University of New Mexico, with a courtesy appointment in the Department of Chemical & Biological Engineering. He is affiliated with the UNM Center for Biomedical Engineering and the School of Engineering, and collaborates extensively with the UNM Health Sciences Center and external institutions. Education: Ph.D., Computer Science, University of Cambridge, 2010 M.A. (Cantab), University of Cambridge, 2009 B.A. (Hons), Computer Science, University of Cambridge, 2005 Dr. Lakin's research focuses on molecular computing, DNA nanotechnology, synthetic biology, and formal verification of biomolecular circuits. He develops computational models and experimental systems for programmable biological devices, especially using heterochiral DNA to enhance stability in living cells. His work spans software tools for biodesign and experimental validation in mammalian systems, with applications in nanomedicine and biosensing. The recent publications highlight a strong trend in engineering robust, intelligent biomolecular systems. His work integrates machine learning concepts into chemical reaction networks, advances geometric modeling of DNA systems, and pioneers L-DNA-based circuits for intracellular applications. The research spans theoretical foundations, software tools, and wet-lab experimentation, emphasizing interdisciplinary innovation. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE), 2025 NSF CAREER Award, 2021 UNM School of Engineering Junior Faculty Research Excellence Award, 2021 Multiple student awards under his mentorship, including the Outstanding Graduate Student Award and DNA28 Best Student Presentation recognition Dr. Lakin has advised numerous graduate and undergraduate students, including Ph.D. graduates in Biomedical Engineering and Computer Science. He leads major funded projects such as the NSF CAREER grant on heterochiral molecular computing, an EPSCoR Research Fellowship, and a $3M NSF grant on heavy metal biosensing in collaboration with Native American communities. He is also PI on multiple NSF grants related to synthetic cells and nucleic acid technologies. He directs the Lakin Lab for Programmable Biology, which operates within the Department of Computer Science and collaborates with Chemical & Biological Engineering and the Center for Biomedical Engineering. The lab emphasizes both computational modeling and experimental molecular biology, and runs an NSF-funded biotechnology summer camp in partnership with ¡Explora! science museum to strengthen STEM education in New Mexico.

Jonathan Baughمشاهده پروفایل

استاد

• Quantum Information Science
• Nanoelectronics
• Semiconductor Devices
• +۴ مورد دیگر

Jonathan Baugh is a Professor in the Department of Chemistry at the University of Waterloo, serving as Director of the Quantum Information Graduate Program. His research focuses on quantum devices, nanoelectronics, and molecular electronics with affiliations at the Institute for Quantum Computing and Waterloo Institute for Nanotechnology. He leads the Baugh Research Lab, exploring quantum control, semiconductor spin qubits, and superconducting hybrid systems. Research interests include quantum information processing, nanoscale charge transport, and the development of next-generation photonic sources. His work bridges quantum physics and materials science, with recent breakthroughs in dopant-free semiconductors and single-molecule transistors. Publications emphasize scalable quantum architectures, noise mitigation in quantum control, and phase-coherent molecular electronics. Current projects involve cryogenic CMOS device modeling and topological quantum computing in silicon-based systems. No awards are explicitly listed, though his work has been highlighted in invited reviews and special sessions on quantum systems. Advising focuses on graduate students in quantum nanotechnology and condensed matter physics. His lab collaborates on integrated quantum networks and III-V/Si nanowire photodetectors. Labs/Teams: Baugh Research Lab (Quantum Nanoelectronics Group), Institute for Quantum Computing (IQC), Waterloo Institute for Nanotechnology (WIN).

• Wireless Communications
• MIMO Systems
• Signal Processing
• +۳ مورد دیگر

Oussama Damen is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering. His research focuses on advanced wireless communication systems, particularly in MIMO (Multiple-Input Multiple-Output) systems, signal processing, and machine learning applications in telecommunications. He is actively involved in developing innovative solutions for beamforming, hybrid precoding, and distributed decoding in massive MIMO and millimeter-wave networks. Damen's work also extends to optical fiber communication, federated learning in wireless systems, and optimization of resource allocation in next-generation networks like 5G/6G. His research interests include wireless communication theory, antenna system design, channel modeling, and algorithm development for improving spectral and energy efficiency. He has contributed extensively to the theoretical foundations of MIMO detection, lattice reduction techniques, and statistical signal processing methods. Notable trends in his publications emphasize bridging theoretical performance limits with practical implementations, particularly in scenarios involving channel impairments, limited backhaul capacity, and multi-core fiber transmission. His work often addresses fairness and optimization in distributed systems, including federated learning frameworks and hybrid beamforming architectures. No scientific awards or grants are explicitly mentioned in the provided information. Damen has advised no listed students, and no specific lab affiliations are noted.

• HVDC systems
• Power system protection
• Converter modelling
• +۳ مورد دیگر

Sahar Pirooz Azad is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds a PEng designation and specializes in power systems engineering, particularly in HVDC systems and grid stability. Previously, she served as an Assistant Professor at the University of Alberta (2015–2017) and conducted postdoctoral research at the University of Toronto’s CAPE Centre and KU Leuven in Belgium. Her research focuses on enhancing power grid stability through advanced control schemes for HVDC grids, converter modeling, and fault protection mechanisms. Dr. Azad’s work addresses challenges in multi-terminal HVDC systems, offshore wind grid integration, and multi-vendor system compatibility. She has taught courses like Power System Protection and Relaying (ECE 765) and Electromechanical Energy Conversion (ECE 260), reflecting her expertise in both theoretical and applied electrical engineering. Her recent publications emphasize innovative protection schemes for HVDC grids, fault detection algorithms using signal processing (e.g., Hilbert-Huang Transform), and robust controller designs for multi-vendor VSC systems. These contributions aim to improve grid reliability, fault resilience, and renewable energy integration efficiency. Dr. Azad is actively recruiting graduate students and holds Sole-Supervisory Privilege Status (SSPS) at Waterloo. Her research has been supported by European Commission-funded projects like MEDOW and leverages interdisciplinary approaches to tackle modern grid challenges.

Jonathan C Poberمشاهده پروفایل

دانشیار

• Cosmic Reionization
• Radio Astronomy
• Astrophysics
• +۳ مورد دیگر

Jonathan C. Pober is an Associate Professor of Physics at Brown University, leading research into the Epoch of Reionization (EoR) and Cosmic Dawn through low-frequency radio astronomy. His work focuses on detecting the highly-redshifted 21 cm line emission from neutral hydrogen during the early Universe, addressing challenges in separating this signal from astrophysical and human-generated radio interference. He develops novel analysis techniques and collaborates on cutting-edge experiments like the Murchison Widefield Array (MWA) and the Hydrogen Epoch of Reionization Array (HERA). Education: PhD in Physics, University of California, Berkeley (2013) MA in Physics, University of California, Berkeley (2010) MPhil in Physics, University of Cambridge (2008) BA in Physics, Haverford College (2007) Research Interests: Cosmic Reionization, Radio Astronomy, 21 cm Cosmology, Signal Processing, and Instrumentation Development. His lab explores methods to mitigate radio frequency interference and optimize interferometric calibration for precise EoR measurements. Teaching: Courses include Basic Physics B, Astronomy, Astrophysics and Cosmology, and Advanced Electromagnetic Theory. He emphasizes bridging theoretical concepts with observational techniques in his curriculum. Awards: NASA Roman Technology Fellow Lab & Projects: Directs the Pober Lab at Brown University, advancing experiments like FARSIDE (Farside Array for Radio Science Investigations of the Dark Ages and Exoplanets), a proposed lunar-based array to study the Dark Ages.