جست‌وجوی استاد و پژوهشگر

Nutifafa Yao Doumonمشاهده پروفایل

استادیار

• Materials Science
• Solar Energy Technology
• Organic Electronics
• +۵ مورد دیگر

Dr. Nutifafa Yao Doumon is an Assistant Professor in the Department of Materials Science and Engineering at Pennsylvania State University’s College of Earth and Mineral Sciences. His research focuses on next-generation optoelectronic and photovoltaic devices, emphasizing stability, reliability, and degradation mechanisms of organic and hybrid semiconductors, with applications in flexible electronics and sustainable energy systems. Ph.D. in Nanoscience (Applied Physics), University of Groningen M.A. in Leadership, Honors College, University of Groningen M.Sc. in Nanoscience and Theoretical Physics B.Sc. in Physics from University of Ghana His work spans organic solar cells, perovskite photovoltaics, and quantum dot semiconductors, with expertise in device fabrication, stability testing, and characterization under ambient conditions. He previously held positions at NREL (USA), INRS (Canada), and University of Groningen (Netherlands). Key research themes include organic/polymer solar technologies , halide perovskite stability , and multidisciplinary energy transition solutions . His lab collaborates with Penn State’s Steidle Building, Millennium Science Complex, and external institutions. 2025 Royal Society of Chemistry Emerging Investigator National Academies U.S.-Africa Frontiers Fellow Zernike Institute Topmaster Nanoscience Scholarship Dr. Doumon advocates for women in STEM , climate action, and sustainable energy deployment. His lab prioritizes diversity, equity, and inclusion in research environments.

Tolga Ovatmanمشاهده پروفایل

استاد

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +۶ مورد دیگر

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

• Semiconductor Epitaxy
• Photovoltaics
• Photonics
• +۶ مورد دیگر

Richard Arès is a professor at the University of Montreal specializing in semiconductor epitaxy, photovoltaics, and photonics. His research spans electrical engineering, mechanical engineering, and condensed matter physics. Doctorate in Physics from Simon Fraser University (1998) Master's in Physics from Université de Montréal (1993) Bachelor's in Physics from Université de Montréal (1990) His work focuses on: Advanced semiconductor growth techniques High-efficiency multi-junction solar cells Photonics device fabrication Nanomaterials engineering Surface and interface analysis Process control in ultra-high vacuum environments Recent publications highlight expertise in: Through-cell via contacts for photovoltaics Quantum dot enhanced solar cells Mesoporous semiconductor structures Nonlinear optical waveguides Temperature-sensitive epitaxy processes

• Power Electronics
• Electrical Engineering
• Control Systems
• +۳ مورد دیگر

Mario Marchesoni is a Professor at the Department of Naval, Electrical, Electronics and Telecommunications Engineering (DITEN) , affiliated with the University of Genoa . His academic responsibilities include coordinating the PhD program and teaching advanced courses in electrical engineering with a focus on energy transition and industrial technologies. Ranks: Full Professor Departments: DITEN Research Interests center on power electronics, control systems, and energy conversion , addressing challenges in hybrid vehicles, induction motor drives, and energy storage systems. His work emphasizes improving efficiency and reliability in electrical systems through innovative control strategies and converter topologies. Recent Publications (2024) highlight advancements in DC-DC converters for hybrid vehicles , thermal management of high-power diodes , and sensorless control of induction motors . Key themes include dynamic performance optimization, sub-harmonic reduction, and hybrid energy storage solutions. Contact: Email mario.marchesoni@unige.it or phone +39 010 33 52183. Office hours by appointment at DITEN, via all'Opera Pia 11a, first floor, Genova.

• Nanoelectronics
• Two-Dimensional Materials
• Semiconductor Device Physics
• +۵ مورد دیگر

Ivan Sanchez Esqueda is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. His research focuses on nanoelectronics, 2D materials, and neuromorphic computing, with significant contributions to radiation effects in semiconductor devices. Education: Ph.D. Electrical Engineering, Arizona State University (2011) M.Sc. Electrical Engineering, Arizona State University (2006) B.Sc. Electrical Engineering, University of Arizona (2004) Dr. Esqueda's research interests span nanoelectronics, two-dimensional (2-D) and one-dimensional (1-D) materials, device nanofabrication, characterization, analysis, and modeling. He explores new device functionalities for novel computing, sensing, and memory applications, particularly hardware implementation of neuromorphic computing and machine learning. His work includes fundamental understanding of nanoscale electronics, confinement and scattering effects in low-dimensional electronic systems, computational nanoelectronics, and modeling of semiconductor devices. A significant portion of his research focuses on defect-related mechanisms and their impact on performance, variability, and reliability of devices and circuits, including radiation and aging effects in commercial CMOS and emerging nanotechnologies. His publication record shows a clear trend toward neuromorphic computing applications using 2D materials, particularly hexagonal boron nitride memristors, and continued investigation of radiation effects in advanced semiconductor technologies. Recent work demonstrates increasing focus on practical implementations of neural networks and machine learning hardware using novel materials. As an educator, Dr. Esqueda teaches courses including EEE 436 (Fundamentals of Solid-State Devices) and EEE 531 (Semiconductor Device Theory I), and mentors numerous graduate students through thesis and dissertation research. His research team at ASU focuses on the fabrication, characterization, and modeling of advanced electronic technologies, developing novel devices based on low-dimensional materials for computing, sensing, and memory applications. They particularly investigate device behavior in extreme environments including radiation and cryogenic conditions.

Gianluigi Ferrariمشاهده پروفایل

استاد

• Telecommunications
• Internet of Things
• Wireless Networks
• +۵ مورد دیگر

Gianluigi Ferrari is a Full Professor of Telecommunications at the Department of Engineering and Architecture, University of Parma, Italy. He has been at the University of Parma since 2002, following his Laurea and PhD degrees from the same institution in 1998 and 2002 respectively. Professor Ferrari serves as the coordinator of the Internet of Things (IoT) Lab since 2006, Vice-director of the Future Technology Lab (2020-), and President of the Degree Course in Computer, Electronics and Telecommunications Engineering (2021-). He has held visiting researcher positions at USC, CMU, KMITL, NATO in Brussels, and NCTU. Professor Ferrari's research focuses on complex networked communication systems with emphasis on signal processing and network communication. His work spans Internet of Things architectures, wireless sensor networks, vehicular communications, and edge computing systems. He has made significant contributions to IoT protocols, sensor network optimization, and vehicular communication systems, with applications in smart cities, healthcare monitoring, and intelligent transportation systems. His interdisciplinary approach bridges theoretical foundations with practical implementations in real-world scenarios. His recent publications demonstrate a strong trend toward privacy-preserving techniques in IoT systems, edge intelligence for real-time analytics, and optimization of communication protocols for emerging applications. The research spans healthcare monitoring with wearable devices, vehicular communications with federated learning approaches, and novel routing protocols for BLE mesh networks. His work consistently addresses the challenges of energy efficiency, security, and reliability in networked systems. best paper/technical awards at various international conferences Senior Member of the IEEE Editor-in-Chief of Future Internet (MDPI, 2023-) Editor of ICT Express (Elsevier, 2021-) Professor Ferrari participates in numerous research projects funded by public and private institutions with research grants exceeding €5 million. He has served on the editorial boards of multiple international journals and organized several workshops and special sessions at major conferences. His professional activities include serving as Technical Team Member in NATO Research Task Group HFM-260 (2015-2018) and member of the Scientific Council of ARTEMIS association (2019-) and CNIT (2020-). As director of the IoT Lab at the University of Parma, Professor Ferrari leads a research team focused on developing innovative solutions for Internet of Things applications. The lab investigates communication protocols, network architectures, and data processing techniques for various IoT domains including smart cities, healthcare, and intelligent transportation systems. The lab maintains strong collaborations with international research institutions and industry partners, facilitating technology transfer and practical implementation of research outcomes.

Andrew A. Houckمشاهده پروفایل

استاد

• Quantum Engineering
• Circuit Quantum Electrodynamics (cQED)
• Superconducting Quantum Computing
• +۷ مورد دیگر

Andrew A. Houck is the Anthony H.P. Lee '79 P11 P14 Professor of Electrical and Computer Engineering at Princeton University's School of Engineering and Applied Science. He serves as Dean of the School and inaugural Co-director of the Princeton Quantum Initiative. Ph.D., Harvard University (2005) B.S.E., Electrical Engineering, Princeton University (2000) His research focuses on superconducting quantum computing and quantum simulation via circuit quantum electrodynamics (cQED). Key areas include photonic bandgap engineering , nonlinear quantum optics , and machine learning optimization for quantum systems. His lab investigates robust qubit architectures, decoherence mitigation, and many-body quantum physics in photonic crystals. Recent publications demonstrate expertise in superconducting circuit design, quantum control instrumentation (QICK platform), and photonic material engineering. Collaborative work spans quantum computing hardware, error correction protocols, and nonlinear microwave photonics. Honors : Presidential Early Career Award (2010), NSF Early Career Award (2010), Packard Fellow (2009), TR35 (2009), Sloan Research Fellow (2009), Blavatnik Award Finalist (2008) Houck advises numerous graduate students, including Matthew Bland , Jeronimo Martinez , and Paal Prestegaard . His lab partners with the Co-design Center for Quantum Advantage and Princeton's Interdisciplinary Quantum Science Network .

Vasos Vassiliouمشاهده پروفایل

دانشیار

• Distributed Network Protocols
• 5G/6G Communication Systems
• Device-to-Device (D2D) Networking
• +۱۲ مورد دیگر

Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .

• Chaos Control
• Nonlinear Dynamics
• Power Electronics
• +۳ مورد دیگر

Cristina MOREL is a Permanent lecturer-researcher at ESTACA since 2020, specializing in electrical engineering and control systems. Previously, she held academic positions at ESEO (2016-2020) and the IUT of Angers (2000-2020), and began her career at the Technical University of Cluj-Napoca (1992-1999). Her research focuses on nonlinear dynamics, chaos control, and applications in power electronics and renewable energy systems. Dr. MOREL holds a Doctorate in Automatics and Applied Computer Science from the University of Angers (2005) and a Habilitation to Direct Research (2016). She earned her Graduate Engineer degree in Automation and Computer Science from the Technical University of Cluj-Napoca (1992), where she was Vice-major of her promotion. 2016: Habilitation to Direct Research in Electronics, University of Angers 2005: Doctorate in Automatics and Applied Computer Science, University of Angers 1992: Graduate Engineer in Automation and Computer Science, Technical University of Cluj-Napoca Her research spans chaos control , nonlinear dynamics , and their applications in power electronics and renewable energy systems . She pioneered anticontrol of chaos to reduce electromagnetic interference in power converters and developed novel maximum power point tracking (MPPT) algorithms for photovoltaic systems under partial shading. Current work focuses on fault diagnosis for electric vehicle powertrains using entropy analysis and neural networks. Recent publications (2022-2025) show strong focus on chaos applications for MOSFET thermal management, entropy-based fault diagnosis in inverters, and energy storage optimization for electric vehicles and drones. There is clear evolution toward data-driven approaches (neural networks) for fault detection and real-world applications in e-mobility. Dr. MOREL has received several academic honors early in her career: Winner of the National University Assistant Competition (Romania, 1996) Winner of the National University Preparation Competition (Romania, 1993) Winner of the national entrance exam to the Polytechnic School of Cluj-Napoca (1987, 15th out of 700 candidates) She has supervised five PhD theses and three Master's research projects on topics including fault diagnosis in polyphase machines, energy management for battery-ultracapacitor vehicles, and MPPT for photovoltaic systems. Her research is supported by collaborations with University of Angers, ESEO, and ESTACA laboratories. Dr. MOREL led the Automation and Electrical Engineering research group at ESEO (2016-2018) and the Energy and Environment option (2016-2020), conducting experimental work in power electronics and control systems laboratories focused on converter design and EV powertrain validation.

• Artificial Neural Networks
• Calibration
• Circuit Simulation
• +۷ مورد دیگر

Simone Corbellini is an Associate Professor at the Polytechnic University of Turin, Department of Electronics and Telecommunications (DET), and a member of the College of Electronic, Telecommunications and Physics Engineering. His research spans electrical and electronic engineering, with a focus on artificial neural networks, calibration, wireless sensor networks, and embedded systems. Research keywords: Artificial Intelligence Metrology & Measurement IoT & Signal Processing Recent projects include MicrowaveRad (microwave radiometers for thermometry) and PVZEN Lab (energy community monitoring systems). He supervises PhD students Davide Ceschini, Davide Sgro', and Marco Sento, contributing to projects on low-power distributed sensors and biomedical devices. His scientific accolades include a National Patent for tire production process control. Teaching roles cover Testing and Certification and Electronic Circuits in Electronic, Biomedical, and Electrical Engineering programs.

• Network Security
• Time Synchronization
• Critical Infrastructure Protection
• +۳ مورد دیگر

John O'Raw is a Lecturer in the Department of Computing at Donegal Letterkenny. His academic focus spans network security, time synchronization, and critical infrastructure protection, with emphasis on power systems, GNSS spoofing detection, and industrial IoT security. His research explores Precision Time Protocol (PTP) optimization in distributed networks Threat mitigation for GNSS-based timing systems Secure data communications in energy infrastructure Human behavior modeling for emergency evacuation planning His publications analyze cybersecurity frameworks for electrical substations, industrial IoT vulnerabilities, and practical implementations of standards like IEC 61850 and OAuth 2.0, with recent work on microwave IP networks and LinuxPTP for time synchronization.

• Image Processing and Computer Vision
• Machine Learning
• Evolutionary Computation
• +۱ مورد دیگر

Seyed Jalaleddin Mousavirad (Jalal) serves as a Postdoctoral researcher at Mid Sweden University in Sundsvall, Sweden, within the Department of Computer and Electrical Engineering (DET) and affiliated with the STC Research Centre. His research focuses on advancing AI-driven solutions for sustainable technologies and complex optimization problems. He earned his PhD in Computer Engineering specializing in Artificial Intelligence from the University of Kashan, Iran. Previous academic appointments include Assistant Professor at Hakim Sabzevari University (Iran), instructor roles at the University of Tehran (2018-2019) and Azad University (2019-2020), and a Research Fellow position at the University of Beira Interior (Portugal) where he contributed to the European GreenStamp project on sustainable Android applications. Dr. Mousavirad's research spans Image Processing and Computer Vision, Machine Learning, Evolutionary Computation, and Applied Artificial Intelligence, with significant contributions in pattern recognition, metaheuristic algorithms, and neural network optimization. His work demonstrates strong interdisciplinary applications in healthcare diagnostics, power systems, and medical imaging. Recent publications reveal a pronounced trend toward federated learning frameworks for privacy-preserving medical analysis, adversarial robustness in diffusion models, and hybrid optimization techniques for ECG classification and brain tumor detection. This reflects a strategic focus on translating AI innovations into practical healthcare and sustainability solutions. He actively contributes to the academic community as a guest editor for journals including Computational Intelligence and Neuroscience, Entropy, and Mathematical Biosciences and Engineering. His editorial leadership extends to organizing special sessions at IEEE CEC and EvoApplications conferences. Dr. Mousavirad maintains extensive peer-review commitments across 50+ prestigious venues including IEEE Transactions on Evolutionary Computation and IEEE Transactions on Cybernetics. His collaborative research includes international engagements at Xi'an Jiaotong-Liverpool University (China) and current work within Mid Sweden University's STC Research Centre on energy-aware computing and neural network optimization.

• Biomedical Engineering
• Wearable Sensors
• Flexible Electronics
• +۳ مورد دیگر

Dr. Yue Gu is an Associate Research Scientist in the Department of Neurosurgery at Yale School of Medicine, where they conduct cutting-edge research at the intersection of biomedical engineering and medical technology. With over 34 publications and 5,047 citations, Dr. Gu's work focuses on developing innovative wearable and flexible electronic systems for medical monitoring and diagnostics, particularly in neurological applications. Dr. Gu's research interests span multiple domains of biomedical technology, with particular emphasis on wearable sensors , flexible electronics , and advanced medical imaging . Their work bridges engineering and clinical applications, developing novel platforms for continuous physiological monitoring, including brain multianalyte monitoring, deep tissue hemodynamics, and cardiac imaging. The research demonstrates strong interdisciplinary collaboration across engineering, neuroscience, and clinical medicine, with publications appearing in high-impact journals like Nature, Nature Nanotechnology, and Nature Communications. Analysis of Dr. Gu's recent publications reveals a consistent trajectory toward increasingly sophisticated wearable medical devices. Their work shows progression from foundational materials research in electronic packaging to complex integrated systems for physiological monitoring. Key themes include stretchable ultrasonic arrays, photoacoustic imaging patches, and three-dimensional transistor arrays for cellular recording, demonstrating expertise across multiple technical domains while maintaining a clinical focus on neurological and cardiovascular applications.

Bucher Matthiasمشاهده پروفایل

استاد

• Analog Integrated Circuit Design
• RF Circuit Design
• Semiconductor Device Physics
• +۳ مورد دیگر

Matthias Bucher is a Professor at the Department of Electronics and Computer Architecture , School of Electronic & Computer Engineering , Technical University of Crete, Greece. His research focuses on analog/RF integrated circuit design, compact modeling, and semiconductor device physics. Education : PhD (1999) and MSc (1993) in Electrical Engineering from EPFL, Switzerland Research Areas : EKV3 MOSFET compact modeling, RF characterization, nanoscale CMOS, and high-voltage device modeling Courses Taught : Electronics II, Analog CMOS Circuit Design, Special Topics in Analog CMOS Circuit Design His work emphasizes compact modeling for RF and analog circuits, with applications in nanoscale devices and radiation-hardened electronics. Recent publications highlight open-source PDK initiatives, Verilog-A standardization, and noise modeling in advanced transistors. He leads the Electronics Laboratory at TUC and collaborates with microelectronics companies. Bucher is a member of IEEE and the Technical Chamber of Greece, with over 45 publications and two book chapters to his credit.

Alexander R. Uhlمشاهده پروفایل

دانشیار

• Solar Energy Conversion
• Photovoltaics
• Solar Fuels
• +۲ مورد دیگر

Dr. Alexander R. Uhl is an Associate Professor at the Okanagan School of Engineering, University of British Columbia, holding the Principal's Research Chair in Solar Energy Conversion. His research focuses on solution-processed solar cells, including chalcogenide and perovskite absorbers, with an emphasis on scalable, low-cost fabrication methods. He has achieved world-record efficiencies in CuIn(S,Se) 2 solar cells. Education: PhD in Materials Science & Engineering from ETH Zurich; Diploma in Nanoscale Engineering from University of Würzburg Postdoctoral Experience: University of Washington (with Hugh Hillhouse) and EPFL (with Michael Grätzel) His research program addresses three key areas: Solution-processed thin film solar cells Tandem photovoltaic devices Photoelectrochemical CO 2 reduction for solar fuels Dr. Uhl has published in journals like Nature Energy , Science Advances , and Advanced Energy Materials , with recent work on 22%+ efficient perovskite cells and rear surface passivation techniques. He has filed two patents on solution-processed chalcogenide solar cells. Scientific Recognition: Principal's Research Chair in Solar Energy Conversion Three-time Swiss National Science Foundation Fellow Invited book chapter on perovskite solar cell counter electrodes He supervises graduate students and teaches courses in materials science and alternative energy systems. His lab (LSEF) develops technologies aiming to surpass coal-equivalent electricity prices through ink-jet printing and high-throughput manufacturing.