جست‌وجوی استاد و پژوهشگر

• Active Learning in Engineering Education
• Inertial Measurement and Kalman Filtering
• Vibrational System Identification
• +۱۲ مورد دیگر

R. Erik Spjut is a Professor of Engineering at Harvey Mudd College , with a career spanning research, teaching, and industry consulting. He holds a Ph.D. in Chemical Engineering from Massachusetts Institute of Technology and a B.S. in Chemical Engineering (magna cum laude) from the University of Utah . Research Focus: Active learning in engineering, inertial measurement systems, adaptive optics for telescopes, heterogeneous reaction kinetics, and containerless material processing. Academic Leadership: Directed Harvey Mudd's Engineering Clinic program (2010-2015), managing 25 annual projects with over $1M budget. Publications & Research Trends reflect expertise in non-contact temperature measurement , MEMS-based adaptive optics , and high-temperature aerosol diagnostics . Notable collaborations include KAPAO (adaptive optics systems) and foundational work on electrostatic levitation . Scientific Awards: John Chipman Chair in Chemical and Process Metallurgy (1985-1988), Union Oil Company Design Fellowship (2011-Present). Grants: NSF MRI for adaptive optics, Boeing Phantomworks for atmospheric correction, DOE and SCE grants for material property studies. Teaching Legacy includes courses like Engineering Laboratory (with field-based rocketry projects), Digital Electronics , and Chemical Reaction Engineering . His pedagogical innovations integrate active learning and student-led content . Consulting Expertise: Development of experimental equipment, fluid flow modeling, and LabVIEW/MATLAB tools for companies like Glassimetal Technology Inc. and JPL .

Gines Garcia Avilesمشاهده پروفایل

استاد پژوهشی

• Telematics Engineering
• 5G/6G Networks
• Network Slicing
• +۲ مورد دیگر

Gines Garcia Aviles is a Research Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, Universidad de Murcia. He obtained his doctorate from Universidad Carlos III de Madrid in 2021 with a thesis on network-slicing aware mobile protocols. Research Focus: Professor Aviles specializes in 5G/6G network architectures, O-RAN security, network virtualization, and intelligent networking systems. His work integrates cloud computing and AI into next-generation telecommunications infrastructure. Recent Work (2023-2024): Focuses on security vulnerabilities in Open RAN implementations, drone communication systems using 5G slicing, and architectural frameworks for natively intelligent 6G networks. His DAEMON project establishes a network intelligence plane for autonomous operations. Technical Contributions: Developed practical solutions like POSENS for end-to-end network slicing and Nuberu for virtualized RAN components, validated through experimental testbeds and EU collaborations.

Hui Linمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Smart Grid Security
• Network Security
• +۳ مورد دیگر

Hui Lin is an Associate Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island. She leads the Dependable Cyber-Physical Systems (DeCPS) Laboratory, focusing on enhancing security and resilience in smart power grids through interdisciplinary approaches combining cybersecurity, computer networks, and artificial intelligence. Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2017) M.S. in Electrical and Computer Engineering, University of Illinois at Chicago (2010) Her research spans cyber-physical security, IoT defense mechanisms, and smart grid resilience. Key methodologies include physics-informed graph neural networks, runtime semantic analysis, and software-defined networking virtualization. She has developed frameworks like HELICSAuto for co-simulation and DefRec for anti-reconnaissance defense. Recent publications focus on programmable switch security, prediction-based grid monitoring, and AI-driven attack mitigation. Funded by NSF, DoD, and DOE, she received the 2022 NSF CAREER Award and a best poster award at SoSSDN 2016. Her lab actively recruits PhD students and post-doctoral researchers. 2022 NSF CAREER Award Best Poster Award at SoSSDN Workshop 2016 Grants include: 2024 DoD ONR Co-PI: "Advancing Research on Cyber-Physical Security and Resilience" 2023 NSF PI: "SaTC Small - Enabling Programmable In-Network Security for an Attack-Resilience Smart Grid" 2023 NSF PI: "PARP: Mislead Physical-Disruption Attacks by Preemptive Anti-Reconnaissance" 2020 NSF PI: "Preempting Physical Damage from Control-Related Attacks"

• Internet of Things
• Wireless Sensor Networks
• Human-in-the-Loop Systems
• +۶ مورد دیگر

Jorge Sá Silva is a Professor at the Department of Informatics Engineering within the Faculty of Sciences and Technology at the University of Coimbra, Portugal. With a prolific publication record spanning over two decades, he has established himself as a leading researcher in Internet of Things, Cyber-Physical Systems, and Human-in-the-Loop computing. His research has significant impact across multiple domains including smart cities, healthcare applications, industrial IoT, and privacy-preserving technologies. Professor Sá Silva's research interests focus on the intersection of human-centered computing and networked systems. His work particularly emphasizes Human-in-the-Loop Cyber-Physical Systems where humans actively participate in the sensing and decision-making processes. He has pioneered approaches to unobtrusive sensing, privacy-preserving frameworks for IoT applications, and edge-based AI systems that maintain user privacy while delivering intelligent functionality. His research spans theoretical foundations to practical implementations across various application domains including healthcare, smart cities, and industrial automation. His recent publications reveal a strong trend toward integrating edge computing with privacy-preserving AI techniques, particularly federated learning approaches applied to IoT systems. There's a clear progression from foundational networking research toward human-centered applications that address real-world challenges in healthcare, construction, and education. His work consistently bridges theoretical networking concepts with practical implementations in constrained environments, with a growing emphasis on sustainability and ethical considerations in technology design. Throughout his career, Professor Sá Silva has demonstrated strong leadership in academic advising and collaborative research. His publication record shows consistent mentorship of junior researchers, with many co-authored papers featuring doctoral students and early-career researchers. He has secured significant research funding through multiple EU and national projects focused on IoT, cyber-physical systems, and human-centered networking. His collaborative network spans institutions across Europe, South America, and Asia, reflecting the international impact of his work. Professor Sá Silva leads research activities within the networking and IoT group at the University of Coimbra, which maintains strong connections with industry partners in the telecommunications and industrial automation sectors. His team has developed several prototype systems including the Green Bear LoRaWAN-based platform for sustainable cities and the CONFLUENCE integration model for privacy-preserving IoT solutions. The research group maintains state-of-the-art testbeds for IoT experimentation and has been involved in numerous EU-funded research initiatives addressing challenges in the Internet of Things and cyber-physical systems domains.

Maurizio Casoniمشاهده پروفایل

دانشیار

• Network Engineering
• Emergency Communication Systems
• Vehicular Networks (V2X)
• +۳ مورد دیگر

Maurizio Casoni serves as an Associate Professor of Telecommunications at the University of Modena and Reggio Emilia within the Department of Engineering 'Enzo Ferrari'. An IEEE Senior Member, he maintains active roles in research, teaching, and leadership of the Networking Laboratory (NetLab). His institutional affiliations include participation in European Commission-sponsored projects and chairing IEEE workshops. His research spans emergency communication systems, vehicular networks (V2X), 5G/6G architectures, and TCP/IP protocol optimization. Key focus areas include safety-critical applications for public safety networks, disaster recovery systems, and energy-efficient network designs. His work integrates theoretical modeling with extensive field trials in real-world environments like the Modena Automotive Smart Area. Analysis of his recent publications reveals a strong emphasis on vehicular safety systems (2023-2024), particularly V2X communication reliability and human-machine interfaces for cooperative driving. Earlier work (2019-2021) concentrated on TCP congestion control mechanisms for wireless networks and IEEE 802.11p performance optimization for emergency scenarios. His research consistently bridges academic theory with practical implementation through EU-funded projects. Casoni leads significant research initiatives including the European FP7 Project PPDR-TC (Public Protection and Disaster Relief – Transformation Center, 2013-2015) and the E-SPONDER project (2010-2014) focused on first-responder communication systems. His grants portfolio features collaborations with Alenia Spazio, CISCO Systems, and KLabs. He actively supervises thesis projects and teaches core courses including Technologies of Network Infrastructures and Fundamentals of Telecommunications. As director of the Networking Laboratory, he oversees experimental testbeds like NetBoxIT for heterogeneous network emulation and TEMPEST for packet scheduling evaluation. His team conducts field trials for emergency networks and vehicular communications, maintaining strong industry partnerships for real-world validation of research prototypes.

Tommaso Melodiaمشاهده پروفایل

استاد

• Wireless Networking
• Internet of Things
• Underwater Networks
• +۵ مورد دیگر

Tommaso Melodia is the William Lincoln Smith Professor of Electrical and Computer Engineering at Northeastern University and Director of the Institute for the Wireless Internet of Things (WIoT). He leads the Wireless Networks and Embedded Systems (WiNES) Laboratory, focusing on secure, energy-efficient wireless systems with applications in implantable medical devices, underwater networks, and tactical communications. His research bridges cross-layer networking and interdisciplinary engineering, supported by NSF and industry partnerships. Education: Laurea and Doctorate in Telecommunications Engineering from the University of Rome 'La Sapienza' (2001, 2005), PhD in Electrical & Computer Engineering from Georgia Tech (2007). Former roles include Associate Professor at SUNY Buffalo (2007–2014). Research Interests : Wireless network modeling & optimization Open RAN systems and digital twins 6G/5G cellular architecture Implantable medical networks AI-driven network intelligence Underwater acoustic communication Recent Achievements : 2025: Excellence in Research Award (Northeastern) 2024: NAI Fellow, 2 Best Paper Awards 2024: 7 US patents granted (drones, beam management, cellular OS) Leading NSF-funded projects (Colosseum testbed, SEANet, AI-EDGE Institute) Labs & Initiatives : WiNES Lab, Institute for the Wireless IoT, NSF AI Institute for Future Edge Networks (AI-EDGE), and Colosseum open RAN emulator.

Susan Redmondمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• Exoplanet Detection
• High-Contrast Imaging
• +۳ مورد دیگر

Susan Redmond is a Research Fellow at the California Institute of Technology's Division of Physics, Mathematics and Astronomy, Department of Astronomy. Her work focuses on advancing observational astronomy through innovations in high-contrast imaging systems and balloon-borne telescopes. Key projects include the High-Contrast Imager for Complex Aperture Telescopes (HiCAT) and the Super Pressure Balloon-borne Imaging Telescope (SuperBIT), which enable exoplanet detection and diffraction-limited astronomical imaging from stratospheric platforms. She specializes in wavefront control algorithms, coronagraph design, and instrument validation for space and suborbital missions. Her research addresses challenges in maintaining dark zones for exoplanet imaging, optimizing segmented aperture systems, and developing broadband scalar vortex coronagraphs. Contributions span theoretical parameter studies, experimental testbed demonstrations, and flight data analysis from missions like SuperBIT and Spider. Collaborative efforts emphasize translating balloon-borne technology to next-generation space telescopes such as the Habitable Worlds Observatory. Notable achievements include system-level validations of coronagraph performance on HiCAT and pioneering stratospheric balloon missions achieving near-space conditions. Her work bridges instrumentation development with observational strategies, ensuring cutting-edge tools for future exoplanet and cosmology missions.

Jongmin Leeمشاهده پروفایل

دانشیار مهمان

• Atomic Molecular and Optical Physics
• Quantum Sensors
• Atom Interferometry
• +۵ مورد دیگر

Jongmin Lee is a Visiting Research Associate Professor in the Department of Physics and Astronomy at the University of New Mexico, based at Sandia National Laboratories. He holds a PhD in Applied Physics from Stanford University (2011) and specializes in quantum sensor development for navigation and defense applications. His research focuses on quantum inertial sensing and atom interferometry , with emphasis on miniaturizing quantum sensors through photonic integrated circuits and membrane technologies. Key areas include: Chip-scale quantum inertial sensors for GPS-denied navigation Grating magneto-optical traps for rugged field operation Evanescent-field atom guides using nanofiber testbeds Passively pumped vacuum systems for long-duration operation Photonic-integrated circuit laser systems for cold-atom control His recent publications reveal a strong trend toward practical quantum sensor deployment , with increasing focus on ruggedization, miniaturization, and integration with photonic circuits. The work bridges fundamental atomic physics with defense-oriented navigation systems requiring exceptional sensitivity in dynamic environments. Dr. Lee holds multiple patents related to quantum inertial navigation systems and cold-atom sensor miniaturization, including: Hybrid Inertial Navigation System (US Patent 12038285) Guided Cold Atom Sensors with Membrane Photonics (US Patent 11971256) Passively Pumped Vacuum Chambers (US Patent 11766651) His research leverages Sandia National Laboratories' multidisciplinary expertise to address national security challenges in navigation, with ongoing patent applications targeting autonomic quantum systems and compact grating-based interferometers. Current work emphasizes transitioning quantum sensors from laboratory prototypes to field-deployable systems for defense applications.

Laurent Schumacherمشاهده پروفایل

مدرس

• Mobile Network Architecture
• Software Defined Networking (SDN)
• Crowdsourcing Applications
• +۳ مورد دیگر

Laurent Schumacher is a Lecturer at the Faculty of Computer Science, University of Namur, Belgium. He earned an M.Sc.E.E. from UMons (1993) and a Ph.D. from UCL (1999), followed by postdoctoral work at Aalborg Universitet. His expertise spans telecom research, computer architecture, and networking, with 30+ publications and technical reports focused on mobile networks and standardization contributions to 3GPP and IEEE 802.11n. Affiliation: University of Namur, Faculty of Computer Science (since 2003) Education: Ph.D., Université Catholique de Louvain (1999) Research interests center on mobile network architecture redesign using SDN, crowdsourcing applications, and network virtualization. Current projects include federated experimental labs (FLECSiWaB) and cyber security excellence (CYBEREXCELLENCE), with focus on cross-cloud deployment and educational games. He has contributed to 3GPP TSG Radio Access Network WG1 and IEEE 802.11 High Throughput Study Group, serving as reviewer for the European Commission and IWT. Collaborations span 19 projects since 2004, including PRW 13 and PRW 65 grants. Patents: 2 referenced patent families Mendeley: 19 research outputs with 2 readers

• Wireless Communications
• Networking
• Signal Processing
• +۳ مورد دیگر

Sneha Kasera is a Researcher at the University of Utah's Department of Computer Science, affiliated with the University of Utah. Her work focuses on wireless communications, networking, and signal processing, with an emphasis on spectrum management, machine learning applications in networks, and security. She has contributed extensively to projects like the POWDER platform for wireless experimentation and spectrum analysis. Her research interests include developing advanced techniques for spectrum monitoring, dynamic radio resource allocation, and leveraging machine learning for network optimization. Key projects include Radio Dynamic Zones (RDZ) for efficient spectrum utilization and Bayesian learning methods for heatmap construction in outdoor wireless environments. Her recent work explores multi-agent reinforcement learning for mmWave power allocation, adversarial attacks on localization systems, and privacy-preserving exposure notification via hash collision techniques. She has also pioneered methods for crowdsourced spectrum monitoring and calibration-free full-duplex systems. Collaborations include contributions to the POWDER platform, which enables scalable wireless research. Her technical expertise spans hardware-software integration, network security, and algorithm design for 5G/6G systems.

Gary Wongمشاهده پروفایل

پژوهشگر

• Computer Science
• Networking
• Cloud Computing
• +۶ مورد دیگر

Gary Wong is a Researcher at the Flux Research Group within the School of Computing at the University of Utah . His work spans network testbed design, cloud infrastructure, and protocol development. Based in Room 3492 of the MEB building, he contributes to experimental research in Salt Lake City. Research Focus: Wireless communication, cloud computing, software-defined networking, and distributed systems Institutional Affiliation: University of Utah, School of Computing His recent publications (2023-2005) highlight expertise in systems performance measurement, open wireless research platforms (POWDER), cloud infrastructure (CloudLab), and network security. The work shows a consistent emphasis on testbed federation, QoS customization, and reproducible experimental methodologies. Notable collaborations include projects like POWDER (wireless experimentation), CloudLab (scalable cloud infrastructure), and PhantomNet (mobile networking). His Erdős number is at most 5, indicating connections to foundational mathematical research through co-authorship chains.

• Cloud Computing Reliability
• Storage Technology
• Distributed Systems
• +۲ مورد دیگر

Haryadi S. Gunawi is an Associate Professor in the Department of Computer Science at the University of Chicago where he leads the UCARE research group focusing on Availability, Reliability, and Efficiency in computing systems. He received his Ph.D. in Computer Science from the University of Wisconsin, Madison in 2009 and was a postdoctoral fellow at UC Berkeley. His research improves dependability of storage and cloud computing systems in three contexts: performance stability, reliability/scalability, and ML-systems interactions. Education: Ph.D. Computer Science, University of Wisconsin-Madison (2009) B.S. Computer Engineering, University of Wisconsin-Madison Research focuses on building dependable systems that are robust to hardware variability ('limping hardware'), combating concurrency/scalability bugs in distributed systems, and exploring ML-storage system interactions. Current projects investigate latency tail tolerance, fail-slow hardware detection, and ML-enhanced storage systems. Publication trends show consistent work in systems reliability with recent expansion into ML-enhanced systems. The 15 most recent publications demonstrate progression from hardware failure analysis to ML-optimized storage systems, with consistent focus on real-world cloud system challenges. Awards and Honors: Provost's Global Faculty Award (2022, 2024) Best Paper Awards (SYSTOR 2022, FAST 2018) Facebook/Google/NetApp Faculty Awards NSF CAREER Award (2014) ACM Dissertation Honorable Mention (2009) Advising and Grants: Leads the UCARE research group with 15+ PhD students. PI on multiple NSF grants including the $5M ScaleStuds project for massive computation foundations. Manages collaborations with Chameleon testbed and CERES Center for Unstoppable Computing. Labs and Groups: UCARE Lab: Focuses on cloud/storage dependability Chameleon Project: Configurable cloud/edge research environment Systems Group: Collaborative systems research community CERES Center: Reducing computing system fragility

Dimitrios Koutsonikolasمشاهده پروفایل

دانشیار مدعو

• Wireless Networking
• Mobile Computing
• Network Measurements
• +۳ مورد دیگر

Dimitrios Koutsonikolas is a Volunteer Adjunct Associate Professor in the Department of Computer Science and Engineering at Northeastern University, affiliated with the School of Engineering and Applied Sciences. His research focuses on experimental wireless networking, mobile computing, high-performance protocol design, network measurements, and testbed prototyping. Education: PhD in Electrical and Computer Engineering, Purdue University (2010) BS in Electrical and Computer Engineering, National Technical Institute of Athens, Greece Research Interests: Dr. Koutsonikolas explores cutting-edge wireless technologies, including 5G/6G networks, millimeter-wave communication, MIMO systems, and network performance evaluation. His work emphasizes practical implementations and open standards (e.g., O-RAN), aiming to bridge theory and real-world deployment challenges. Key Contributions: His recent studies analyze 5G mmWave networks' maturity, beam management, and latency-sensitive applications like XR streaming. He also pioneers testbeds like X-Mili and NVIDIA ARC-based O-RAN platforms to accelerate next-gen wireless innovation. Awards: Best Paper Award, IEEE WCNC 2017 NSF CAREER Award (2016) CSE Early Career Faculty Teaching Award (2015) SEAS Early Career Researcher of the Year Award (2015) Grant & Advising: Leads NSF-funded projects on 5G/6G architectures and collaborates on cross-layer testbeds. His work emphasizes interdisciplinary approaches, blending networking with machine learning and hardware optimization. No formal advisees are listed in the provided data.

• Digitalisation in Construction
• Living Labs
• Sustainable Buildings
• +۴ مورد دیگر

Jonas Anund Vogel serves as Director of Dig-IT Lab and co-director of KTH Live-In Lab at KTH Royal Institute of Technology, working within the Unit of Applied Thermodynamics and Refrigeration. With dual expertise in technical engineering and social sciences, he bridges industry practice and academic research, earning Sweden's Project Manager of the Year award in 2018 for developing KTH Live-In Lab's complex infrastructure. His research centers on digitalisation in construction , living lab methodologies , and sustainable building systems , examining how contractual frameworks, digital tools, and user-centered design can reduce environmental impact. Current work addresses innovation barriers in energy efficiency, post-pandemic building design, and governance models for housing cooperatives through interdisciplinary collaboration. Analysis of his 12 publications (2015-2024) reveals consistent focus on innovation bottlenecks in construction, with recent work emphasizing digital transformation (2024) and living lab applications (2023). His scholarship uniquely integrates technical building systems with social governance aspects, particularly in Swedish multifamily contexts. Scientific Awards: Project Manager of the Year in Sweden (2018) Vogel manages externally funded initiatives including Dig-IT Lab (Vinnova/KTH/industry partnership), KTH Live-In Lab's full-scale testbeds, and the multi-university Buildings Post Corona project. These involve significant grant acquisition and industry collaboration to prototype sustainable building solutions. He oversees Dig-IT Lab's digitalisation competence center and KTH Live-In Lab's unique infrastructure, which provides changeable test environments from apartment-scale to building systems. These facilities enable real-world validation of innovations through user databases and cross-sector collaboration platforms.

Qian Jenny Huangمشاهده پروفایل

دانشیار

• Construction Management
• International Construction Law and Contracts
• Construction Safety Training
• +۶ مورد دیگر

Dr. Qian Jenny Huang is an Associate Professor of Architecture at the School of Architecture, Southern Illinois University Carbondale (SIUC) . She began as a tenure-track Assistant Professor in August 2015 and was promoted to Associate Professor in May 2020. Holding a PhD in Building Construction Management from Purdue University and a background in Chinese law, she combines construction management expertise with legal and technological perspectives. Education: Ph.D. in Building Construction Management – Purdue University, USA (2013) Master of International Law – Nankai University, China Bachelor of Law – Nankai University, China Research Interests: Dr. Huang’s scholarship lies at the intersection of construction management, smart-building technologies, and international construction law . She leverages big-data analytics, wireless sensor networks, machine learning, and IoT frameworks to advance energy-efficient, safe, and legally compliant built environments. Core themes include: International construction law and contract practice Construction safety training and risk management Smart-grid-enabled building systems Occupancy-driven energy optimization AI-driven hazard detection for vulnerable occupants (e.g., infants) BIM maturity assessment across global construction industries Her work is recognized by interdisciplinary audiences in architecture, civil engineering, computer science, and law. Publication Landscape: Between 2010 and 2025, Dr. Huang has authored more than 30 peer-reviewed articles spanning AI algorithms for smart buildings, lightweight CNN models for resource-constrained robotics, wireless sensor networks for environmental monitoring, and socio-technical studies on BIM adoption . Recent trends emphasize edge-deployable AI for real-time building monitoring and sustainable construction practices. Teaching & Mentorship: Dr. Huang teaches a progressive sequence of construction-management courses: ARC 210 – Building Construction Management: Introduction & Professional Practice ARC 310 – Program Management ARC 410 – Construction Safety Management ARC 411 – Time, Value & Risk Management ARC 412 – Construction Project Management While specific student advisees are not listed, her curriculum fosters advanced project-based learning, and she maintains active collaboration with graduate researchers in smart-building laboratories. Laboratory & Facilities: Dr. Huang conducts research within SIUC’s smart-building and construction-management laboratories , utilizing wireless sensor testbeds, FPGA prototyping boards, and GPU-enabled edge devices to validate AI models in realistic built environments.