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نمایش ۷۲۱-۷۳۵ از ۲۷٬۹۸۸ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Zahra Abbasiمشاهده پروفایل

استادیار

University of CalgaryCanada

Dr. Zahra Abbasi is an Assistant Professor at the Department of Electrical and Software Engineering, University of Calgary (since 2021), with expertise in designing passive and active RF/microwave sensors for non-invasive real-time detection and monitoring. She holds a PhD in Nanosystems and Microsystems from the University of Alberta (2020) and a postdoctoral fellowship at the Waterloo Microfluidics Lab (University of Waterloo). Her research focuses on sensor systems for environmental, biomedical, and industrial applications, including microfluidic sensing, chipless tags, and wearable devices. Dr. Abbasi’s educational background includes degrees from Iran University of Science & Technology (BSc 2014, MSc 2016) and advanced training in Canada. She chairs IEEE MTT-S/AP committees in Alberta and has received notable awards such as the ASTech Finalist (2024) and Alberta Immigrant Impact Award (2023). Her work emphasizes collaboration across disciplines to address challenges in precision agriculture, healthcare, and environmental monitoring. Her sensor research spans diverse fields: microplastic detection in water, hydrocarbon contamination monitoring, real-time medical diagnostics (e.g., fibrinogen levels), and nutrient assessment in agriculture. Recent advancements include disposable sensors for medical implants and non-invasive hydration tracking for aging populations. Awards Finalist: ASTech Early Career Academic Change Maker (2024) Early Research Excellence Award (Schulich School of Engineering, 2023/2024) Alberta Immigrant Impact Award (2023) Advising & Labs Dr. Abbasi leads the Calgary Sensor Laboratory, fostering innovation in microwave and microfluidic sensor technologies. Her team collaborates on industrial and biomedical projects, emphasizing practical applications of novel sensor designs. While no named advisees are listed, her research group actively engages in multidisciplinary projects.

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Slawomir Stanczakمشاهده پروفایل

استاد

Technical University of Berlin (TU Berlin)Germany

Prof. Slawomir Stanczak is a Full Professor in Network Information Theory at Technische Universität Berlin and Head of the Wireless Communications and Networks department at Fraunhofer Heinrich-Hertz-Institut (HHI). His expertise spans wireless communications, signal processing, and machine learning, with a focus on 5G/6G networks and reconfigurable intelligent surfaces. He has held visiting roles at RWTH Aachen University and Stanford University, and leads initiatives like the 6G Research & Innovation Cluster and the xG-Incubator project. Education: Dipl.-Ing. in Electrical Engineering, TU Berlin (1998) Dr.-Ing. (summa cum laude), TU Berlin (2003) Habilitation (venia legendi), TU Berlin (2006) Research & Awards: Recipient of the Best Paper Award from the German Communication Engineering Society (2014) Research grants from the German Research Foundation Co-authored over 200 peer-reviewed papers and two books Chair of the ITU-T Focus Group on Machine Learning for Future Networks (2017-2020) Leadership & Projects: Chairman of 5G Berlin association since 2020 Coordinator of 6G Research & Innovation Cluster and CampusOS flagship project Project lead of xG-Incubator (StartUpConnect initiative) Teaching: Offers courses on Machine Learning and Wireless Communication at TU Berlin.

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Andrea S. Carliniمشاهده پروفایل

استادیار

University of California , Santa Barbara (UCSB)United States

Dr. Andrea S. Carlini is an Assistant Professor of Materials in the Department of Chemistry & Biochemistry at the University of California, Santa Barbara (UCSB). Her research focuses on structurally dynamic biomaterials and devices, aiming to bridge biochemical signals with soft materials for smart biomedical applications. She holds a PhD from UC San Diego and completed a postdoc at Northwestern University’s Querrey Simpson Institute for Bioelectronics. B.S. in Chemistry & Biological Sciences (Virginia Tech, 2012) M.S. in Chemistry & Biochemistry (UC San Diego, 2014) Ph.D. in Chemistry & Biochemistry (UC San Diego, 2018) Her research is organized into three core areas: (1) stimuli-responsive materials for disease monitoring, (2) 4D shape-changing peptides/polymers, and (3) soft wearable devices for quantitative health feedback. Recent work includes thermal sensors for vascular access and enzyme-responsive biomaterials for tissue engineering. Published articles span bio-electrochemical systems, wearable sensors, and smart hydrogels. Her NSF GRFP Fellowship supported early work on myocardial tissue engineering. The Carlini Group collaborates broadly across UCSB’s interdisciplinary environment. Labs/Teams: Carlini Group (UCSB) Focus: Bioelectronics, biomedical devices, and dynamic materials

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David R. Leeمشاهده پروفایل

استاد

Cornell UniversityUnited States

David R. Lee is an International Professor at the Charles H. Dyson School of Applied Economics and Management, Cornell University. He holds a BA from Amherst College (1972), MA and PhD from the University of Wisconsin-Madison (1980/1981). His research bridges economic development, agriculture, and environmental sustainability, focusing on food security, climate change impacts, and policy interventions. He has advised global institutions like the World Bank, FAO, and USAID, and received the World Bank Green Award twice (2007, 2011). Education: PhD in Applied Economics, University of Wisconsin-Madison (1981) MA in Economics, University of Wisconsin-Madison (1980) BA in Economics, Amherst College (1972) Research Interests: Dr. Lee explores how economic policies can enhance sustainable agriculture while mitigating environmental degradation. His work emphasizes climate-smart practices, technology diffusion among smallholders, and gender dynamics in resource use. Recent studies include analyzing religious networks' role in information sharing and bioenergy systems' climate mitigation potential. Awards: World Bank Green Award (2007, 2011) Teaching & Advising: Teaches International Trade and Finance and Natural Resources and Economic Development . Mentors graduate students in development economics. No specific grants listed, but extensive consultancy work with global institutions reflects applied research impact. Global Engagement: Conducted research in ~30 countries across Latin America, Sub-Saharan Africa, and beyond. Served as visiting scholar at FAO, USDA, and universities in Italy, Netherlands, Venezuela, and Honduras.

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Zijian Shaoمشاهده پروفایل

پژوهشگر ارشد

Princeton UniversityUnited States

Zijian Shao is a Postdoctoral Research Associate at Princeton University's School of Engineering and Applied Science, affiliated with the Department of Electrical Engineering. His work focuses on advanced antenna design, electromagnetic modeling, and machine learning applications in RF/mmWave systems for 5G/6G telecommunications. Advisor: Kaushik Sengupta Email: zs9193@princeton.edu Office: Engineering Quadrangle Atrium Shao's research explores the intersection of machine learning and electromagnetic design , particularly for next-generation wireless communication. He specializes in antenna miniaturization , MIMO decoupling , and metasurface-enabled beamforming , with applications in sub-terahertz circuits and integrated sensing systems. His recent publications demonstrate expertise in deep learning-assisted inverse design of multi-port RF systems and spoof surface plasmon polariton-based antenna optimization . While no formal awards are listed, his work contributes to advancing compact, high-efficiency antenna arrays for 5G/6G networks.

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Pieter Ballonمشاهده پروفایل

استاد

Vrije Universiteit BrusselBelgium

Pieter Ballon is a Full Professor at Vrije Universiteit Brussel (VUB) and Director of imec-SMIT, part of the Studies in Media, Innovation and Technology (SMIT) research group. He holds dual affiliations in Communication Sciences and SMIT. His roles include leadership in interdisciplinary research projects and academic administration. Research expertise focuses on Smart Cities, Digital Platforms, and ICT business models. Key interests include platform urbanism, data ecosystems, and algorithmic systems' societal impacts. He has supervised 122 academic works, including 8 master’s theses listed here. Notable awards include the 1st Brussels Smart City Ambassador (2016-2017) and multiple Best Paper Awards. His work spans over 300 publications and 75 research projects, with active grants like SHALGO (2024-2028) and AMAI 5 (2025-2026). He frequently engages in public debates, academic conferences, and media discussions on topics like algorithmic governance and smart city technologies.

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Maryline Laurentمشاهده پروفایل

استاد

Télécom SudParisFrance

Prof. Maryline Laurent is a Professor at Telecom SudParis, affiliated with the SAMOVAR research laboratory. Her work focuses on cybersecurity, privacy-preserving technologies, blockchain applications, and IoT security. She has contributed to numerous high-impact publications and conferences, addressing challenges in secure healthcare systems, decentralized identity management, and privacy in distributed systems. Her research spans cryptographic protocols, access control mechanisms, and compliance with EU data protection regulations. Key areas of expertise include secure communication protocols for IoT, blockchain-based solutions for healthcare, and privacy-enhancing technologies. She has collaborated on projects such as self-sovereign identity frameworks, anonymized data aggregation, and privacy-preserving smart grid systems. Her work emphasizes practical methodologies for assessing re-identification risks in anonymized datasets and designing secure systems compliant with evolving regulations. Prof. Laurent’s contributions extend to book chapters and edited volumes on digital identity management and wireless network security. She actively participates in international conferences and initiatives, advocating for privacy-by-design principles in intelligent infrastructures.

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Andrea Lanziniمشاهده پروفایل

استاد

Polytechnic University of TurinItaly

Andrea Lanzini is a Full Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center Ec-L - Energy Center Lab. He serves as Scientific Advisor for the Partnership Agreement with Edison and Electricité de France (EDF). His academic and research leadership spans energy system integration, hydrogen technologies, fuel cells, renewable energy communities, and industrial decarbonization. His research interests focus on fuel cell and hydrogen technology , energy system integration and modeling , industrial decarbonization , and renewable energy communities . He leads the M3ES research group and is deeply involved in both fundamental and applied research, with a strong emphasis on sustainable urban energy systems and clean energy transitions. The analysis of his recent publications reveals a consistent focus on hydrogen production and storage, fuel cell durability and performance, biogas and biomethane technologies, and the optimization of hybrid renewable energy systems. His work often combines experimental investigation with techno-economic and environmental assessment, particularly in off-grid and community-scale energy applications. Scientific Awards: Fulbright Grant awarded by United States Department of State - Bureau of Educational and Cultural Affairs/The US-Italy Fulbright Commission, United States (2010) Prof. Lanzini actively supervises numerous PhD students and leads a wide array of research projects, including major EU-funded initiatives such as HYWAY, NoMaH, TIPS4PED, and EDUPED, as well as numerous commercial research contracts with industry and municipalities. He is a key contributor to national and international efforts in energy transition, particularly through his work on Positive Energy Districts and renewable energy communities. His research has significant implications for energy policy, urban planning, and industrial sustainability. He is involved in several research groups and collaborative agreements, including the M3ES Research Group (DENERG) and partnerships with RSE SpA, Edison, EDF, and various public administrations. His work is central to the activities of the Energy Center Lab at Politecnico di Torino.

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Frank Russoمشاهده پروفایل

استاد

Toronto Metropolitan UniversityCanada

Frank Russo is a Professor in the Department of Psychology at Toronto Metropolitan University, where he holds the NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience. He leads the Science of Music Auditory Research and Technology (SMART) Lab and holds affiliate and adjunct positions at the University Health Network and the University of Toronto, respectively. Research Interests: Dr. Russo's work lies at the intersection of auditory cognitive neuroscience, music psychology, and rehabilitation. His research explores how humans perceive music and speech, particularly under challenging conditions such as hearing loss or non-native accents. He investigates the cognitive and neural mechanisms of listening effort, emotional speech processing, and the social and therapeutic benefits of music, especially through community choirs and digital interventions. Publication Trends: His recent publications emphasize objective measurement of listening effort using functional near-infrared spectroscopy (fNIRS), music-based interventions for Parkinson’s disease and dementia, vocal and emotional responses to singing, and multisensory integration in beat perception. The work is highly translational, bridging basic cognitive neuroscience with clinical and community applications. Scientific Awards and Honors: NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience Fellow of the Canadian Psychological Association Fellow of Massey College Fellow of the Canadian Society for Brain, Behavior and Cognitive Science Past President of the Canadian Acoustical Association Advising and Grants: Dr. Russo actively mentors students and researchers, as evidenced by his co-authorship with numerous junior colleagues. He has secured major funding through NSERC and industry partnerships, enabling the development of impactful technologies such as hearing aid algorithms, sensory substitution systems, and digital therapeutics. His SingWell project fosters collaboration across academic, clinical, and community sectors. Labs and Teams: He directs the SMART Lab at Toronto Metropolitan University, a hub for interdisciplinary research on music, hearing, and cognition. The lab collaborates extensively with KITE Research Institute, Rehabilitation Sciences at the University of Toronto, and various community organizations focused on aging, hearing loss, and neurodegenerative conditions.

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Roy Johnsenمشاهده پروفایل

استاد

Norwegian University of Science And TechnologyNorway

Roy Johnsen is a Professor in the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU), specializing in corrosion and surface technology. With a Dr.ing. degree from NTH (1984), he has extensive industry experience from Statoil Research Centre (1985-1991) and CorrOcean (1991-2004), where he expanded the company globally. His current research focuses on hydrogen embrittlement, corrosion protection, and integrity management in offshore systems, with collaborations across Europe, Asia, and the Americas.

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Lu Shijianمشاهده پروفایل

دانشیار

Nanyang Technological UniversitySingapore

Lu Shijian is an Associate Professor (tenured) at the School of Computer Science and Engineering , Nanyang Technological University (NTU) , Singapore. He holds a PhD in Electrical and Computer Engineering from the National University of Singapore and leads the Visual Intelligence Lab (VILab) , focusing on humanlike visual perception, understanding, and creation. University: Nanyang Technological University School: School of Computer Science and Engineering Academic Rank: Associate Professor (tenured) Email: Shijian.Lu@ntu.edu.sg Office: N4-02C-101, NTU, Singapore His research spans computer vision, deep learning, image and video analytics, visual intelligence, and machine learning , with key topics including scene text detection, unsupervised domain adaptation, image synthesis, satellite image analytics, and facial expression recognition. His work integrates supervised, semi-supervised, and self-supervised learning across 2D images, 3D point clouds, and multi-spectral data. The recent publications highlight a strong trend in domain adaptation, generative modeling, 3D vision, and multimodal AI . His lab produces high-impact work accepted at top venues like CVPR, ICCV, ECCV, NeurIPS, and TPAMI, with applications in autonomous systems, image editing, and robust AI. Top winner of ICFHR2014 Competition on Word Recognition from Historical Documents Top winner of ICDAR 2013 Robust Reading Competition (scene text segmentation) Top winner of ICDAR 2013 Document Image Binarization Contest (DIBCO 2013) Top winner of H-DIBCO 2010 – Handwritten Document Image Binarization Competition Top winner of ICDAR 2009 Document Image Binarization Contest (DIBCO 2009) Lu advises several PhD students and serves as an Associate Editor for Pattern Recognition and Neurocomputing . He has held leadership roles in top conferences as Senior Program Committee member (IJCAI, AAAI) and Area Chair (ICDAR, WACV). His lab, the Visual Intelligence Lab , is actively recruiting PhD students and conducting cutting-edge research in visual intelligence, with recent work on 3D Gaussian splatting, backdoor attacks, and vision-language models.

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Deepa Kundurمشاهده پروفایل

استاد

University of TorontoCanada

Deepa Kundur is the Professor & Chair of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto. She earned her BASc, MASc, and PhD in Electrical and Computer Engineering from the same institution in 1993, 1995, and 1999, respectively. Current roles: IEEE Spectrum Advisory Board Conference leadership: General Chair of 2018 GlobalSIP Symposium, TPC Co-Chair for IEEE SmartGridComm 2018, among others Her research focuses on cybersecurity , signal processing , and complex dynamical networks , particularly in smart grid applications. She has authored over 200 publications and pioneered techniques for detecting false data injection attacks, enhancing grid resilience, and integrating machine learning into power systems. Her recent work spans quantum learning for grid security , LLM-based mental health prediction , and resilient control systems . She has received 14 best paper recognitions, including IEEE SmartGridComm (2015) and IEEE INFOCOM Workshop (2008). Fellowships: IEEE Fellow (2015), Canadian Academy of Engineering Fellow (2016), Massey College Senior Fellow (2019) Teaching awards: Tenneco Meritorious Teaching Award (2005), Gordon Slemon Teaching of Design Award (2002) Early career honors: NSERC Scholarships (PGS A/B), Canada Scholarship She leads the Kundur Research Group , developing models for cyber-physical systems in smart grids and autonomous vehicle networks. Her team explores reinforcement learning for grid defense , transmissibility-based fault detection , and privacy-preserving smart grid analytics .

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Beatrice Lermaمشاهده پروفایل

دانشیار

Polytechnic University of TurinItaly

Beatrice Lerma is an Associate Professor at the Polytechnic University of Turin , affiliated with the Department of Architecture and Design and serving as Deputy Coordinator of the Doctoral School of Design and Technology: People, Environment, Systems . Research focuses on Innovative Materials , Sensory Design , and Design for Cultural Heritage Key skills in Environmental Engineering , Industrial Design , and Circular Economy Her recent work explores the intersection of Artificial Intelligence and Material Innovation , particularly in sustainable polymer systems and transparent wood technology. She leads the BIOMAPS (2025-2028) and AI-TRANSPWOOD (2024-2026) projects. 2025: AI applications in biobased materials 2024: Cultural heritage signage solutions 2024: Circular material taxonomic frameworks Scientific recognitions include ADI Design Index Selection Award (2015) and Young & Design (2013). She supervises PhD candidates Noemi Emidi and Eva Vanessa Bruno , and serves on the OFFICINA Scientific Committee since 2014.

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Chao Liuمشاهده پروفایل

پژوهشگر

University of StrasbourgFrance

Chao Liu is a Research Scientist at CNRS (French National Center for Scientific Research) since 2008, affiliated with the DEXTER team and the Department of Robotics, LIRMM at University of Montpellier, France. He earned his Ph.D. in Electrical & Electronic Engineering from Nanyang Technological University, Singapore (2006). Current research focuses on surgical robotics , haptics , teleoperation , and nonlinear control theory with applications in computer vision. His work addresses challenges in robotic-assisted telesurgery, including: Stable and transparent human-robot interaction through wave variable compensators and passivity filters Physiological motion compensation using spatio-temporal LSTM and dual Kalman filters EMG-based motion recognition for surgical skill assessment 3D soft-tissue reconstruction with stereo-endoscopes and deep learning Dr. Liu leads European and French projects like: TS2RT (CNRS-funded): Safer teleoperation with motion compensation ROBACUS (ANR-funded): Needle positioning with MPC control HaTUMoCo (CNRS-funded): Haptic teleoperation with uncertainty handling ARAKNES (EU-funded): Microrobotic systems for endoluminal surgery Scientific honors include Senior Member of IEEE and Member of Sigma Xi . He supervises Ph.D. and Master's students working on topics such as concentric tube robot optimization, haptic teleoperation, and EMG-based force estimation. Dr. Liu serves on IEEE Technical Committees for Telerobotics and Haptics , and as Technical Editor of IEEE/ASME Transactions on Mechatronics.

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Gianfranco Chiccoمشاهده پروفایل

استاد

Polytechnic University of TurinItaly

Gianfranco Chicco is a Full Professor at the Politecnico di Torino , Italy, within the Department of Energy (DENERG). He serves as Scientific Director of the Electrical Power Systems research group and the Turin unit of the ENSIEL Consortium. A Fellow of IEEE (since 2018), he has held editorial leadership roles as Editor-in-Chief of Sustainable Energy, Grids and Networks and Subject Editor of Energy , while chairing major conferences like IEEE ISGT Europe 2017 and UPEC 2020. Education : Laurea (cum laude) in Electrical Engineering (1987), Ph.D. in Electrical Engineering (1992), Doctor Honoris Causa (2017, Polytechnic University of Bucharest; 2018, Technical University 'Gheorghe Asachi' of Iasi). Research Interests : Focus on power transmission and distribution systems , distributed energy resources , and multi-energy smart grids , with applications in artificial intelligence , load management , and power quality . His work addresses technical, economic, and environmental aspects of distributed generation and smart grid sustainability . Publications Trends : Recent articles emphasize photovoltaic power optimization , dynamic grid modeling , and multi-energy system coordination , reflecting expertise in renewable integration , clustering algorithms , and adaptive control . Key subfields include voltage stability , load forecasting , and blockchain for energy trading . Awards : IEEE Fellow (2018-) Best Paper Awards at SEST (2018, 2020) Doctor Honoris Causa (2017, 2018) 'Giancarlo Vallauri' Degree Prize (1988) Advising and Grants : Supervises PhD students in power converters , renewable integration , and high-voltage measurement methodologies . Leads European projects like H2020 MIGRATE and OSMOSE, focusing on grid resilience , clustering-based network planning , and multi-energy sustainability .

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