جستجوی استاد راهنمای دانشگاهی

Francesco Da Ros is an Associate Professor at the Technical University of Denmark , Department of Electrical and Photonics Engineering. His work focuses on machine learning applications in photonic systems, particularly in optical communication and photonic computing. Active in silicon photonics and nonlinear optics Key contributor to optical machine learning and digital signal processing Research Interests: Da Ros explores the intersection of machine learning and photonics , with specific projects involving: Photonic reservoir computing End-to-end optimization of optical communication systems Neuromorphic photonic circuits Channel equalization techniques Quantum communication systems Thermal crosstalk compensation in integrated photonics Scientific Contributions: His research has produced over 245 publications and 23 projects , including significant work on: Raman amplifier optimization Machine learning for optical matrix multipliers Frequency comb phase noise characterization Security systems using distributed acoustic sensing Awards: Recipient of prestigious awards such as: Best Young Italian Researcher in Denmark (2019) DOPS Prize (2017) Horizon Prize for Breaking Optical Transmission Barriers (2016) Academic Leadership: Actively supervises PhD students in projects related to: End-to-end learning for multi-core fiber systems Nonlinear fiber-optic channel optimization Quantum communication lasers Integrated quantum photonic reservoir computing

• Optical Computing
• Optical Machine Learning
• Nonlinear Optics
• +۶ مورد دیگر

Mohsen Sarraf is a Senior Lecturer and Visiting Assistant Professor in Electrical Engineering at the Tagliatela College of Engineering, University of New Haven. He holds a Ph.D. in Electrical Engineering from the University of Southern California, specializing in Computer Networks and Communications, along with M.S. and B.S. degrees from the same institution. His research focuses on wireless communications, signal processing, network security, multimedia systems, and embedded technologies. With extensive industry experience at Bell Labs and Telcordia, Sarraf possesses deep expertise in real-time system design, RF planning, and hardware implementation. Sarraf holds 22 US patents and 3 European patents covering innovations in OFDM transmission, error correction, watermarking, and wireless systems. His publications demonstrate consistent focus on optimizing network performance in wireless sensor networks, with recent work emphasizing collision detection algorithms, power efficiency, and IoT applications. He co-authored 'W-CDMA, cdma2000 and 3G Mobile Networks' (McGraw Hill, 2002), which was translated into Chinese. Professional skills include MATLAB simulation, C/C++ programming, RF planning, and project management.

• Wireless Communications
• Signal Processing
• Network Security
• +۲ مورد دیگر

Dr. Stephen Tate is a Professor and Graduate Program Director in the Department of Computer Science at the University of North Carolina at Greensboro (UNCG). He joined UNCG in 2007 during its formative years as the department was established from a split of the former Department of Mathematical Sciences. Prior to UNCG, he spent 14 years at the University of North Texas (UNT), where he founded the Center for Information and Computer Security, recognized by the NSA and DHS as a National Center of Academic Excellence in Information Assurance Education. His academic background includes a Ph.D. from Duke University (1991) and a NASA-supported postdoctoral fellowship. Dr. Tate’s research focuses on computer security, cryptography, and secure software systems. He has pioneered techniques in cryptographic protocol design, secure hardware integration (e.g., Trusted Platform Modules), and high-assurance software development. His work emphasizes creating systems with strong security guarantees and has been supported by the National Science Foundation (NSF), industry partners, and Texas-based research programs. His recent publications span areas like secure container repositories, vulnerability analysis in Linux distributions, and cryptographic key management. Notable contributions include advancing the Advanced Encryption Standard (AES) and developing frameworks for dynamic proofs of data possession using trusted hardware. His educational innovations include integrating tablet-based active learning in lectures. Dr. Tate has held leadership roles, including Department Head at UNCG (2007-2019), and has contributed to interdisciplinary projects such as the UNT-led regional initiative to strengthen information assurance education. His research also extends to foundational topics in algorithms, including online algorithms, computational geometry, and data compression.

• Computer Security
• Cryptography
• Secure Software Systems
• +۴ مورد دیگر

Henry Duwe is an Affiliate Assistant Professor at Iowa State University, specializing in energy-efficient computing systems and embedded systems design. His research focuses on batteryless intermittent systems, energy harvesting, and low-power hardware architectures. He has contributed to the development of frameworks for dependable computing in resource-constrained environments and explores intersections between design thinking and engineering education. His work includes pioneering studies on lifecycle management protocols for batteryless networks, RF energy harvesting systems, and neuromorphic accelerators. Notably, he received the NSF CAREER Award (2022) for advancing intelligent computing on batteryless devices. Duwe also investigates pedagogical methods such as design thinking to enhance course design in computer engineering, addressing challenges in interdisciplinary education and student skill development. Key areas of exploration include: batteryless networks, neural architecture search for energy-constrained devices, hardware-software co-design, and debugging methodologies in engineering curricula. His publications span both technical innovations in embedded systems and educational strategies for effective learning. Recent projects include the PAIL protocol for robust coordination in batteryless systems (2025) and the Lure simulator for intermittent networks (2024). His research bridges theoretical advancements with practical applications in low-power computing and sustainable energy solutions. Awards and grants include the NSF CAREER Award (2022), which supports his work on dependable intelligent computing systems. His contributions also extend to educational innovations like persona-based course design and reflective learning activities in engineering education.

• Energy Harvesting
• Embedded Systems
• Neural Networks
• +۵ مورد دیگر

Amine Bermak is a Professor at the Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology. His research focuses on biomedical circuits, machine learning applications, and hardware security. Key contributions in CMOS sensors for bioluminescence and bacterial monitoring Pioneering work in IoT security and physical unclonable functions (PUFs) Developed edge computing frameworks for healthcare and industrial applications Significant publications in IEEE Transactions on Biomedical Circuits and Systems His recent articles highlight advancements in deepfake detection, energy-efficient ADCs, and wearable strain sensors. Collaborations span institutions in Hong Kong, Qatar, and Japan.

• Biomedical Circuits and Systems
• Machine Learning Applications
• Internet of Things (IoT) Security
• +۳ مورد دیگر

Ramón González Carvajal is a distinguished academic with extensive contributions in analog and mixed-signal integrated circuit design, IoT systems, and sensor networks. His research focuses on low-voltage CMOS circuits, high-performance operational amplifiers, and energy-efficient signal processing. He has collaborated extensively with institutions on advancements in smart infrastructure and sustainable energy systems. Key research areas include: Low-power analog circuit design CMOS-based transconductors and amplifiers IoT-enabled sensor networks for industrial and environmental monitoring Blockchain scalability through sharding protocols His recent work emphasizes machine learning applications for energy economy prediction and augmented reality systems for workplace safety. Over 196 publications demonstrate his impact in circuits, systems, and emerging technologies.

• Analog Circuits Design
• CMOS Technology
• Signal Processing
• +۳ مورد دیگر

Bartolomeo Montrucchio is a full Professor at the Polytechnic University of Turin's Department of Electrical, Computer and Biomedical Engineering. His research focuses on IoT systems, quantum computing applications, RFID technologies, and sensor networks. He leads interdisciplinary projects involving environmental monitoring, cybersecurity, and embedded systems design. Key research areas include: Development of low-cost air quality monitoring systems leveraging IoT and sensor fusion Quantum algorithm design for financial risk analysis and game theory applications RFID security protocols and anti-collision mechanisms for dense networks Energy-efficient image processing techniques for mobile displays Recent work highlights quantum computing's potential in vulnerability analysis and financial modeling, while maintaining strong contributions to sensor network reliability and environmental applications. His publications span prestigious journals like IEEE Internet of Things Journal and IEEE Transactions on Dependable and Secure Computing. Collaborations with industry partners and academic institutions emphasize practical implementation of theoretical advancements, particularly in smart city technologies and healthcare monitoring systems.

• IoT and Sensor Networks
• Quantum Computing
• RFID Systems
• +۴ مورد دیگر

Kacarska Marija is an Assistant Professor at the Faculty of Electrical Engineering, University Ss Cyril and Methodius in Skopje, Macedonia. She holds a PhD (1998), MSc (1988), and BSc (1978) in Electrical Engineering from the same institution. Her career spans over four decades, including roles as a Teaching Assistant (1978–2001) and Assistant Professor since 2001. Her research focuses on electrical engineering applications, including renewable energy systems, power systems analysis, electromagnetic compatibility, and smart grid technologies. She has contributed to studies on photovoltaic integration, battery management, and electromagnetic field effects on humans. Her work emphasizes energy storage solutions, grounding systems for renewable installations, and wireless energy management platforms. Notable projects include the PV-ESTIA initiative for building energy storage and the development of systems to monitor low-frequency magnetic fields. Her expertise also extends to computational methods for electrical impedance tomography and contingency analysis in power systems. Her publications reflect a multidisciplinary approach, bridging electrical engineering with environmental sustainability and medical applications. She has pioneered VR-based systems for visualizing electromagnetic influences on humans, particularly near high-voltage lines and in cellular telecommunications. Her contributions aim to enhance energy efficiency, grid stability, and public health through advanced engineering solutions.

• Electrical Engineering
• Renewable Energy Systems
• Power Systems Analysis
• +۵ مورد دیگر

Sonal Shreya is a Tenure Track Assistant Professor at the Department of Electrical and Computer Engineering, Aarhus University, within the Faculty of Engineering. Her research focuses on spintronics, neuromorphic engineering, and energy-efficient computing architectures. She explores applications in magnetic memory technologies, spintronic devices, and reservoir computing systems. Her work emphasizes developing novel circuits for in-memory computing, leveraging spintronic components like magnetic tunnel junctions (MTJs), STT-RAM, and spin-torque nano-oscillators. Key areas include energy-efficient data encryption, low-power pattern recognition, and multi-state memristor-based neuromorphic systems. She also investigates design thinking applications in engineering innovation, such as Tesla technology advancements. Recent studies highlight contributions to skyrmion dynamics for racetrack memory, vortex-based security solutions (PUF/TRNG), and thermal-induced memristor behaviors. Her publications span from 2014 to 2025, demonstrating a progression toward advanced spintronic applications in computing and sensing. Dr. Shreya collaborates on compact device modeling for circuit simulations and explores granular materials for reservoir computing. Her research bridges fundamental spintronics physics with practical applications in low-power electronics and hardware security.

• Spintronics
• Neuromorphic Engineering
• Spintronic Devices
• +۷ مورد دیگر

Colin Murphy is a Lecturer in the Department of Electrical and Electronic Engineering at University College Cork (UCC). He holds a B.E. (Gold Medal for academic excellence), M.Eng.Sc. (modelling of microwave transformers), and Ph.D. (wavelet packet modulation analysis) from UCC. His research focuses on digital communications, signal processing for cognitive radios, GNSS signal acquisition, and FPGA-based cryptographic countermeasures. Education: B.E. (1989), M.Eng.Sc. (1991), Ph.D. (2006), all from UCC. He has supervised numerous PhD students including Niamh O'Mahony, Donagh Horgan, and Robert McEvoy. Awards include the CEIA Gold Medal (1989) and the CogART 2011 Best Paper Award. Research interests span signal processing for cooperative/cognitive radios, weak signal GNSS tracking, and cryptographic hardware security. He has led projects funded by IRCSET and Enterprise Ireland, including work on FPGA-optimised transforms and spectrum sensing algorithms. Teaching includes modules like EE2007 Electronic Circuits and EE6105 Wireless Communications. He chairs UCC's School of Engineering Outreach Committee, promoting engineering studies through school visits and annual quizzes.

• Digital Communications
• Signal Processing
• Wireless Communications
• +۵ مورد دیگر

Yunsi Fei is a Professor in the Electrical and Computer Engineering Department at Northeastern University, serving concurrently as Associate Dean of Faculty Affairs. She leads the Northeastern site of the NSF IUCRC Center for Hardware and Embedded System Security and Trust (CHEST). Her research focuses on hardware-oriented security, computer architecture, embedded systems, and IoT security, with significant contributions to mitigating side-channel and fault attacks on neural networks and hardware systems. Fei holds a PhD in Electrical Engineering from Princeton University (2004), and bachelor’s and master’s degrees in Electronic Engineering from Tsinghua University. She joined Northeastern in 2011 after faculty roles at the University of Connecticut. Her research interests span secure computer architecture, energy-efficient embedded systems, and underwater sensor networks. Notable projects include RINGS (a NSF-funded IoT resilience initiative) and secure RISC-V processor design. She has received the NSF CAREER Award and multiple best paper awards at top conferences. Fei’s work integrates hardware-software co-design to address vulnerabilities in AI accelerators and cryptographic systems. She leads the Energy-Efficient and Secure Systems (ENESS) Lab and collaborates with industry and academia through CHEST. Recent grants include $1.5M for cybersecurity in additive manufacturing and $1M for spectrum-agile IoT systems. Her awards include a 2023 Distinguished Paper Award (AsiaCCS) and 2022 Best Paper (Great Lake VLSI). She mentors students like Ruyi Ding, who joined LSU as faculty in 2025. Fei also chairs sessions on hardware security and is an affiliated faculty member with Northeastern’s Institute of Information Assurance.

• Hardware-oriented security
• Computer Architecture
• Embedded Systems
• +۷ مورد دیگر

Ass.-Prof. Arnab Roy is an Assistant Professor (tenure track) at the Security and Privacy Lab, University of Innsbruck, Austria. His research focuses on cryptography and cryptanalysis, secure computation, and information security. He has held academic and research roles at institutions such as Alpen-Adria-Universität Klagenfurt, University of Bristol, and Technical University of Denmark. Education: Ph.D. in Computer Science (2014), University of Luxembourg M.Tech. in Computer Science (2007), Indian Statistical Institute M.Sc. in Mathematics (2004), IIT Kanpur B.Sc.(Hons.) in Mathematics (2002), University of Calcutta Research Interests: Dr. Roy’s work addresses advanced cryptographic systems, including post-quantum cryptography, side-channel resistance, and zero-knowledge proofs. He designs efficient cryptographic primitives for constrained environments and explores leakage certification methods. His contributions span cryptanalysis of block ciphers, hash functions, and protocol security. Professional Activities: Serving on program committees for ACNS 2024, CT-RSA 2024, and Eurocrypt 2019 Reviewer for major conferences including CRYPTO, Eurocrypt, and Asiacrypt Organizer of ALPSY (2024) and SILC (2021) Lab & Team: The Security and Privacy Lab focuses on foundational and applied research in cryptography, with ongoing projects on algebraic systems for cryptographic permutations and leakage-resilient designs.

• Cryptography and Cryptanalysis
• Secure and Private Computation
• Information Security
• +۳ مورد دیگر

Dr. Christoph Hellings is a Lecturer at the Department of Physics at ETH Zürich, specializing in quantum technologies and superconducting circuits. His research focuses on quantum error correction, quantum hardware implementation, and the development of scalable quantum systems. He contributes to advancements in superconducting qubit architectures, leakage reduction mechanisms, and fault-tolerant quantum computing protocols. His work bridges theoretical models with experimental validation, particularly in areas like stabilizer code decoding, lattice surgery, and device-independent randomness amplification. Hellings collaborates on projects involving multi-module quantum processors, photonic cluster states, and real-time feedforward systems. His experiments frequently address practical challenges such as magnetic flux control, inter-chip coupling optimization, and mitigation of loss mechanisms in superconducting circuits. Key research themes include improving qubit coherence times, enhancing gate fidelity through dynamic control, and advancing quantum error correction techniques for surface codes. Recent studies explore the integration of leakage reduction units and the characterization of quantum processor performance under realistic conditions.

• Quantum Computing
• Quantum Error Correction
• Superconductivity
• +۳ مورد دیگر

Prof. Christoph Studer is a Full Professor of Integrated Information Processing at ETH Zurich's Department of Information Technology and Electrical Engineering. He leads the Integrated Systems Laboratory and directs SwissChips. His research focuses on wireless communication, machine learning, signal processing, and hardware-efficient algorithms, with applications in B5G systems, sensing-communication integration, and low-power signal processing. He holds a Ph.D. and M.S. from ETH Zurich (2009 and 2006) and has held academic positions at Cornell University before returning to ETH in 2020. Notable honors include the NSF CAREER Award (2017), ETH Medal for Doctoral Dissertation (2011), and multiple teaching awards. Education: M.S. and Ph.D. in Information Technology and Electrical Engineering, ETH Zurich (2006, 2009) Visiting Researcher, Stanford University (2005) Research Interests: Develops algorithms and hardware for high-throughput, low-power wireless systems. Key areas include: B5G multi-antenna systems and simultaneous sensing-communication (SISCO) Analog-to-feature (A2F) conversion for low-power signal classification Hardware-software co-design for efficient microchip integration Publications: Focus on channel charting, jammer mitigation, and deep learning for communication. Recent work includes CSI2Vec, jammer-resilient synchronization, and distributed MIMO systems. Awards: US NSF CAREER Award (2017) Michael Tien Teaching Award (2016) ETH Medal for Doctoral Thesis (2011) Labs/Teams: Leads the Integrated Systems Laboratory at ETH and directs SwissChips, a national initiative for integrated circuit development.

• Wireless Communication
• Machine Learning
• Digital Signal Processing
• +۶ مورد دیگر

Ali Gokirmak is a Professor in the Department of Electrical & Computer Engineering at the University of Connecticut's College of Engineering. His research focuses on nanoelectronics, phase change memory, thermoelectric effects, and semiconductor device modeling. He leads the UConn Nanoelectronics Laboratory and has secured over $11.2M in federal grants, including NSF, AFOSR, and DOE funding. He holds the Charles H. Knapp Endowed Professorship and has received multiple teaching awards. His work includes developing novel phase change devices, studying thermoelectric phenomena at nanoscale, and advancing hardware security through nanoscale devices. Education: Ph.D. & M.S. in Electrical & Computer Engineering from Cornell University (2005, 2002), B.S. in Physics and Electrical Engineering from University of Maryland (1998). His research group has supervised over 20 PhD and MS students, focusing on topics like phase change materials, nanofabrication, and electro-thermal modeling. Key contributions include high-temperature measurement setups for phase change materials, computational models for phase change dynamics, and exploration of phase change logic. He collaborates internationally on projects like MURI security initiatives and DURIP instrumentation grants.

• Nanoelectronics
• Phase Change Memory
• Thermoelectric Effects
• +۴ مورد دیگر