برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۷۲۱-۷۳۵ از ۲٬۸۶۲ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Juan Carlos Merlano Duncan is a researcher at the University of Luxembourg, affiliated with the Interdisciplinary Centre for Security, Reliability and Trust (SnT). His work focuses on satellite communications, signal processing, and synchronization techniques for distributed systems.
استادیار
Kouei Yamaoka is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Tokyo Metropolitan University's College of Engineering, specializing in advanced audio signal processing techniques. With over 24 publications from 2017-2024, Yamaoka has established a strong research presence in the international signal processing community. Yamaoka's research focuses on innovative beamforming techniques, time delay estimation methods, and speech enhancement algorithms. Their work consistently addresses challenging problems in multichannel audio processing, particularly in underdetermined scenarios where the number of sources exceeds available microphones. Key contributions include causal distortionless response beamforming, minimum-spanning-tree-based time delay estimation robust to outliers, and sound field interpolation for rotation-invariant processing. Analysis of Yamaoka's publication trends reveals a consistent focus on practical audio processing solutions with applications in source separation, speech enhancement, and acoustic scene analysis. The research demonstrates strong theoretical foundations combined with practical implementation considerations, particularly for real-time and online processing scenarios. Recent work has expanded into deep learning applications for bioacoustic analysis, as evidenced by the 2023 publication on marmoset vocalization analysis. Yamaoka maintains a productive collaboration network, with frequent co-authorship with Nobutaka Ono (20 joint publications), Shoji Makino (9 joint publications), and other researchers in the Japanese signal processing community. Publications appear consistently in top venues including IEEE/ACM Transactions on Audio Speech and Language Processing, APSIPA, EUSIPCO, and ICASSP.
دانشیار
Nikhil Shukla is an Associate Professor at the University of Virginia with a joint appointment in Electrical and Computer Engineering and Materials Science and Engineering. His work bridges emerging hardware technologies with computational paradigms for energy-efficient systems. Education: Ph.D. in Electrical Engineering (University of Notre Dame, 2017), BS in Electronics and Telecommunications (University of Mumbai, 2010) His research focuses on emerging solid-state devices for non-Boolean computing, energy-efficient data storage , and integration of novel materials to redefine computing architectures. Key efforts include co-designing devices, circuits, and system-level solutions for Ising machines and dynamical systems solving combinatorial optimization problems. The 15 most recent articles highlight trends in oscillator-based Ising machines for optimization, ferroelectric and phase-transition materials, and hardware acceleration for NP-hard problems like Max-Cut and MaxSAT. Topics span from device physics (e.g., hafnium oxide endurance) to circuit-level implementations (FPGA accelerators, CMOS-compatible designs). Scientific Awards: IEEE TMSCS Best Paper Award (2017), STARnet LEAST Center Best Publication Awards (2015–2017), J.N. TATA and J.R.D TATA Scholarships (2011) Shukla's work at the Computing Hardware Research Lab emphasizes cross-disciplinary approaches, leveraging synchronized oscillators and correlated materials to push beyond CMOS-era limitations.
Ceyhun Yildiz is a Doctor Lecturer at the Circuits and Systems Department within the Faculty of Engineering and Natural Sciences at Bandırma Onyedi Eylül Üniversitesi. Previously, he held academic positions at Kahramanmaraş İstiklal University and Kahramanmaraş Sütçü Imam University, serving as Department Head at Kahramanmaraş İstiklal University's Elbistan Vocational School. His academic career spans over a decade with roles including research assistant (2005-2008) and lecturer positions in Electrical Engineering. His research focuses on renewable energy systems, power electronics, and artificial intelligence applications in energy sectors. Key interests include wind energy optimization, machine learning-driven forecasting (e.g., wind power, solar output, electricity prices), and hybrid energy system integration. He has led projects on optimal turbine placement, energy storage solutions, and grid stability analysis. Yildiz has authored/co-authored over 40 publications, with recent works emphasizing deep learning models for electricity load forecasting and wind farm layout optimization. He teaches graduate courses on machine learning applications in engineering and has supervised master's theses on solar power estimation and hybrid energy systems. His work integrates theoretical and applied research, addressing challenges in renewable energy scalability and grid compatibility.
Prof. Dr. Abdurrahman Ünsal is a Professor at the Faculty of Engineering, Department of Electrical and Electronics Engineering at Dumlupınar University. He holds a PhD from Oregon State University (USA) and has been a faculty member since 2001. His current roles include Head of the Electrical Machinery Department, Dean of the Faculty of Engineering, and ELOTEG Advisory Board Membership (TÜBİTAK). His educational background includes a Bachelor's from Gazi University (1988-1992), a Master's from Oklahoma State University (1994-1996), and a PhD from Oregon State University (1996-2001). Research Interests: - Electrical Machines (Induction Motors, Permanent Magnet Synchronous Machines) - Power Quality and Fault Detection - Renewable Energy Systems and Smart Grids - Applications of Machine Learning in Engineering - Predictive Maintenance and Condition Monitoring Recent Projects: - Development of Intelligent Fault Detection and Predictive Maintenance Systems (TÜBİTAK, 2020-2023) - IoT-Based Monitoring System for Induction Motor Faults (2020-2023) - Solar Energy Efficiency Research at Kütahya Campus (2020) - Analysis of Unbalanced Loads in Asynchronous Motors (2018-2019) Awards: None listed. Grants and Administrative Roles: - Dean of Engineering Faculty (2019–present) - Head of Electrical Machinery Department (2010–present) - Coordinator of Erasmus Program (2004–2009) Labs/Teams: Active in the Department of Electrical Machines, leading research in fault diagnosis and renewable energy systems.
Xavier De Tiège is a Professor at Université libre de Bruxelles (ULB) and works at Erasme Hospital, ULB's academic hospital. He serves as Director of the Department of Functional Neuroimaging within the Service of Nuclear Medicine and as a senior researcher at the ULB Neuroscience Institute's Laboratoire de Cartographie fonctionnelle du Cerveau. Professor of Neuroanatomy, ULB Senior Researcher, ULB Neuroscience Institute Director of Functional Neuroimaging Department, Erasme Hospital Member of the UR2NF research lab His research focuses on functional neuroimaging applications for presurgical mapping in refractory focal epilepsy and investigating cortical entrainment through sensory-motor processes and cortico-cortical interactions. Recent work employs multimodal imaging (MEG, fMRI) and computational models to study brain synchronization, language control, and neural plasticity in epilepsy patients. Key publication trends include epilepsy diagnostics , brain connectivity modeling , cognitive neuroimaging , and neurological AI applications . While no specific awards are listed in the provided text, his role as a senior researcher and lab director indicates significant academic contributions. Advises doctoral candidates via collaborative publications Leads multidisciplinary team in UR2NF lab
دانشیار
Davut Ertekin is an Associate Professor at the Department of Electrical and Electronics Engineering, Bursa Technical University (Türkiye), and a Visiting Research Fellow at the University of Western Australia's School of Engineering. He holds a Ph.D. from Atatürk University (2017) and has conducted research at Politecnico di Bari, Italy (2019). His expertise lies in power electronics, with a focus on DC-DC converters, inverters, electric vehicles, and renewable energy systems. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Education: Ph.D. in Electrical Engineering from Atatürk University (2017), followed by roles as Lecturer and Assistant Professor at Bursa Technical University before becoming an Associate Professor there. Research Interests: Power electronics, electric vehicle systems, control theory applications, photovoltaic integration, high-voltage gain converters, and material reliability testing for power modules. His research emphasizes grid stability, renewable energy efficiency, and smart grid technologies. Collaborations: Active in international research networks, focusing on sustainable energy solutions and advanced converter topologies. His work addresses challenges in energy storage, grid connectivity, and high-efficiency power conversion. Advising & Grants: No specific student advisees or grant details listed, though his publications suggest involvement in collaborative research projects. Labs/Teams: Engaged with research groups at Bursa Technical University and the University of Western Australia, focusing on experimental validation of power electronics designs.
Satomi Suzuki-Chenoweth is a Senior Lecturer in the Japanese and Linguistics Programs at Georgia Tech's School of Modern Languages since 2003. She served as Japanese Program Coordinator (2020–2024) and co-developed early synchronous online Japanese courses with Dr. Masato Kikuchi. Her expertise spans second language acquisition, technology-enhanced learning, and intercultural communication. She holds a Ph.D. in Linguistics from the University of Georgia (2011). Her research focuses on student learning behaviors in online environments, particularly in STEM contexts, and she has presented at major conferences like AAAL and ACTFL. Key works include the 2013 CALICO Journal Best Article on off-screen student behaviors in online instruction. Teaching Awards: Ivan Allen College Distinguished Teaching Award (2024–2025), ML Faculty Excellence Award Current Projects: Developing 'Travel Japanese and Japan’s World Heritage Sites for Engineers and Architects' (ML2500), integrating language with engineering and sustainability studies Professional Engagements: Nakatani RIES Program instructor, Governor’s Teaching Fellows Program (2024–2025) exploring AI in classrooms Her courses include elementary/intermediate Japanese, linguistics, and cross-cultural studies. She advocates for linguistic diversity and bridges cultural understanding through language education, with fieldwork experiences in Japan, the U.S., Switzerland, and Denmark.
دانشیار
Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.
Stephen L. Smith is a Professor and Tier 2 Canada Research Chair in the Department of Electrical and Computer Engineering at the University of Waterloo. He serves as Co-Director of the Waterloo Artificial Intelligence Institute, leading research in robotics and AI. His work focuses on autonomous systems, multi-robot coordination, and human-robot interaction, with applications in navigation, control systems, and collaborative task planning. Smith's research explores challenges such as path planning in uncertain environments, persistent monitoring, and adaptive decision-making. His contributions include algorithms for robot navigation in ice-covered waters, real-time replanning under constraints, and optimizing multi-agent systems for efficiency and safety. Key scientific awards include the Tier 2 Canada Research Chair designation. His research also addresses human-centric aspects, such as studying user preferences in collaborative tasks and developing frameworks for learning user intent through interaction.
استادیار
Dr. Pengyu Nie is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science. His research enhances developer productivity through machine learning techniques for software testing, code maintenance, and program analysis. Specific interests include execution-guided test completion, code-comment co-evolution, and multilingual programming systems. Current projects investigate LLM-based code editing in computational notebooks, multilingual code co-evolution, and test generation for exceptional behaviors. Research outputs include tools like pytest-inline for Python testing and Roosterize for Coq lemma suggestions. Awards include the Margarida Jacome Dissertation Award (2023) and ACM SIGSOFT Distinguished Paper Awards (2023, 2019). He leads the UW-SWaG research group and advises PhD/master's students on software engineering and ML projects.
دانشیار
Prof. Frederic Nabki is an Associate Professor of Electrical Engineering at the École de technologie supérieure (Québec, Canada). He holds a B.Eng. (Honors) and Ph.D. in Electrical Engineering from McGill University. His primary research focuses on MEMS integration with CMOS systems, RF integrated circuits (RFICs), and ultra-wideband (UWB) systems. He leads the Microtechnology and Microsystems Laboratory (Micro²) and co-directs the CoFaMic Research Centre at UQAM, exploring novel MEMS fabrication processes and hybrid RF-MEMS systems. Education: B.Eng. (McGill, 2003), Ph.D. (McGill, 2010) Affiliations: IEEE Montreal Section Secretary Labs: CoFaMic (UQAM), Micro² (ETS) His research interests span MEMS resonators, phase-locked loops, and UWB transceivers. Notable contributions include patents in MEMS-CMOS integration and book chapters on MEMS resonators. He has secured funding from NSERC, CFI, and ReSMiQ, focusing on miniaturization, energy efficiency, and system-level integration challenges. Recent work emphasizes energy-efficient UWB systems, terahertz modulation, and deep learning-enhanced ultrasonic sensors. His interdisciplinary approach bridges microelectromechanical and electronic systems for applications in healthcare, aerospace, and industrial IoT. Awards: Governor General of Canada’s Academic Bronze Medal (2025). Grants and collaborations include NSF-funded projects on MEMS fabrication and partnerships with Quebec’s Microsystems Strategic Alliance. He advises on emerging trends in hybrid RF-MEMS systems and low-power sensor networks.
استادیار
Javad Khazaei is an Assistant Professor in the Electrical & Computer Engineering Department at Lehigh University and director of the INTEGRITY Laboratory. Previously, he held an Assistant Professor position at Penn State Harrisburg and was affiliated with Penn State University Park's Architectural Engineering Department. He earned his Ph.D. in Electrical Engineering (Power and Energy) from the University of South Florida in 2016. Research Interests : His work focuses on smart grid dynamics and control, data-driven modeling and control in power systems, water-energy microgrids, smart grid cybersecurity, and renewable energy integration. His laboratory, INTEGRITY Lab, addresses challenges in resilient and intelligent energy systems. Recent Work Trends : His publications emphasize data-centric approaches for system identification, model predictive control (MPC) for microgrids, and enhancing resilience through advanced control strategies. Key themes include cybersecurity in energy systems, hybrid energy-water nexus optimization, and naval/marine microgrid resilience. Grants & Collaborations : Awarded a $12M DOE grant to expand marine energy initiatives, with partnerships focusing on naval microgrid resilience and offshore renewable integration. His work often involves interdisciplinary collaborations between electrical engineering, cybersecurity, and infrastructure systems. Lab & Infrastructure : Directs the INTEGRITY Lab, which develops cutting-edge solutions for cyber-physical energy systems. Research includes hardware-software integration for real-time monitoring and control of microgrid components.
Pietro De Lellis is an Associate Professor of Automatic Control at the University of Naples Federico II, Italy. He holds a PhD in Automation Engineering (2009) from the same institution and has held visiting roles at NYU Polytechnic School of Engineering, including a Visiting Professorship (2010) and Postdoctoral Fellowships (2012–2014). His academic roles also include Adjunct Professor at the Italian Air Force Institute of Technology (2010–2014). His research focuses on complex networks, synchronization, control, and co-evolving systems in finance and biology, with collaborations at NYU and international institutions. Education: PhD in Automation Engineering (2009), University of Naples Federico II. Visiting scholar at NYU Polytechnic Institute (2009). Postdoctoral fellowships funded by Forgiare (2010), MASTRI (2012), and NYU projects on collective behavior and robotics. Research interests span analysis/synchronization of complex networks, collective behavior in animal groups, formation control, co-evolving financial networks, partial control strategies, and networks of discontinuous systems. Recent projects include the ACROSS initiative on stochastic systems and evolving networks. His work bridges theoretical control with experimental validation (e.g., Chua’s circuits experiments). Publications reflect interdisciplinary focus: synchronization in networks, pinning control algorithms, and applications to financial markets, robotics, and epidemiological modeling (e.g., 2020 Italian COVID-19 network analysis). Active in grants and collaborations, including EU-funded projects and industry partnerships. Teaching includes courses on system analysis and control of complex systems at the University of Naples. Labs: NYU Dynamical Systems Lab (collaborations), Electrical Engineering Lab (experimental setups).
Leonardo Bonati is an Associate Research Scientist in the Department of Electrical and Computer Engineering at Northeastern University. He specializes in cutting-edge wireless communication systems, particularly focusing on Open RAN, 5G/6G networks, and AI-driven network intelligence. His work emphasizes automated testing, network slicing, and security in software-defined cellular systems. He leads and contributes to high-profile projects such as AutoRAN and DigiRAN, funded under the CHIPS and Science Act, which aim to enhance open and disaggregated cellular network testing and digital twin frameworks. His research also involves experimental platforms like Colosseum and OpenAirInterface for large-scale wireless emulation and real-world testing. Key research interests include: AI-based network control (via dApps/xApps), digital twins for network validation, zero-touch deployment, and security in O-RAN interfaces. He holds multiple patents on topics ranging from network slicing to private 5G connectivity through steganography. Notably, Bonati was recognized among the top 2% most-cited scientists globally in 2024 by Stanford University. He collaborates actively with industry and academia on next-generation cellular technologies, contributing to both theoretical advancements and practical implementations. His advising and grant activities include co-PI roles on major initiatives like AutoRAN (testing automation) and DigiRAN (high-fidelity digital twins), totaling over $4M in funding. Bonati’s work bridges academic research and industry-ready solutions through platforms like Colosseum and the Open RAN Gym.
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