جست‌وجوی استاد و پژوهشگر

Frédéric Grillotمشاهده پروفایل

استاد

• Photonics
• Quantum Technologies
• Optical Communications
• +۷ مورد دیگر

Frédéric Grillot is a Professor at Télécom Paris (France) and the University of New Mexico (USA), with visiting roles at UCLA, Politecnico di Torino, and Politecnico di Milano. He leads the Optical Telecommunications (GTO) team at the LTCI laboratory and holds affiliations with the University of California Santa Barbara and other institutions. His research focuses on photonics, quantum technologies, and optical communications, particularly in quantum cascade lasers, nonlinear photonics, and secure free-space communication systems. Education: Habilitation (HDR), Physics, University of Paris Cité (2012) Ph.D., Electrical Engineering, University of Franche-Comté (2003) M.S., Physics, University of Dijon (1999) Research Interests: His work includes semiconductor lasers, quantum dot technologies, mid-infrared optoelectronics, and applications in high-speed data transmission and neuromorphic computing. He explores novel light emitters, nonlinear dynamics, and chaos-based secure communications. Publications & Awards: Grillot has authored numerous high-impact publications and holds patents like the 2019 'Light-Emitting Device' patent. He is a Fellow of SPIE and Optica, a Senior Member of OSA and IEEE, and received the Ampère Medal (2023). His work is recognized globally, including top-2% world scientist rankings (Stanford, 2023). Teaching & Mentorship: He teaches courses on semiconductor lasers, quantum photonics, and optoelectronics. Notable advisees include Dr. Bozhang Dong (Nature Springer Thesis Prize) and Dr. Jianan Duan (IEEE award winner). His research team collaborates internationally, advancing silicon photonics and mid-infrared technologies.

Janusz A. Starzykمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Robotics
• +۷ مورد دیگر

Janusz A. Starzyk is a Professor of Electrical Engineering and Computer Science at Ohio University's Russ College of Engineering and Technology, and holds a concurrent professorship at the University of Information Technology and Management in Rzeszów, Poland. He earned his M.Sc. and Ph.D. in Electrical Engineering from Warsaw University of Technology and a habilitation from Silesian University of Technology. His research focuses on embodied intelligence, machine learning, neural networks, and VLSI design, with notable contributions to self-organizing systems and reinforcement learning. Starzyk has supervised 47 M.Sc. and 16 Ph.D. students, and his work spans over 190 peer-reviewed publications. He leads the Embodied Intelligence Lab at Ohio University and collaborates with institutions worldwide, including Nanyang Technological University and the Institute for Artificial Intelligence in Switzerland. His awards include the Best Research Paper Award from Ohio University and nominations for IEEE Fellow. He has secured $3.8 million in research grants, with projects in GPS signal processing, radar target recognition, and machine learning applications. His patents include innovations in object identification systems and self-organizing learning hardware. Starzyk's expertise bridges academia and industry, with roles as a consultant for companies like Magnolia Broadband and Sarnoff Research.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۵ مورد دیگر

Gustavo Borges Moreno e Mello is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based in office SG209 at Stensberggata 29, Oslo, he actively contributes to the Applied Artificial Intelligence research group with focus on cutting-edge computational methodologies. His research spans artificial intelligence with emphases on graph neural networks, multilingual NLP, reinforcement learning, and medical imaging. Key interests include developing propagation schemes for GNNs, cross-lingual BERT adaptations, rodent fMRI analysis, and empathy assessment in human-computer interaction systems. His work bridges theoretical AI with practical healthcare and communication applications. Analysis of his 2020-2024 publications reveals strong thematic continuity in neural architecture design, particularly HITS-GNN variants for graph analytics and time-representation models. Recent work increasingly integrates neuroscience principles with reinforcement learning while maintaining Nordic language processing applications, notably in English-Norwegian BERT alignment. No information regarding graduate student supervision or research grants was found in the provided materials. He maintains active collaboration within OsloMet's Applied Artificial Intelligence research group, focusing on interdisciplinary projects that connect computer vision, natural language processing, and neuro-inspired computing with real-world healthcare and communication challenges.

• Materials Science
• Energy Storage Materials
• Solid-State Electrolytes
• +۳ مورد دیگر

Dr. Yuwei Zhang is a researcher at the Max Planck Institute for Sustainable Materials, specializing in the Structure and Nano-/Micromechanics of Materials department. Their work focuses on the mechanical behavior of advanced materials, particularly in energy storage systems like batteries and solid electrolytes. Key research areas include lithium dendrite mechanics, phase transitions in VO₂, and nanoindentation-based strain analysis. Research interests span materials science, energy storage technologies, and interface mechanics. Recent studies explore strategic texturation of VO₂ thin films, microstructural analysis of shale rocks, and cation reordering mechanisms in vanadium oxides. Publications emphasize interdisciplinary approaches, linking mechanical properties to electrochemical performance and structural dynamics. Notable work includes studies on negative thermal expansion materials and mechanical properties of metallic lithium. No scientific awards or grants are explicitly listed in the provided text. Dr. Zhang’s group collaborates on advanced microscopy techniques and in-operando characterization methods.

Andrei Atanovمشاهده پروفایل

پژوهشگر

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Andrei Atanov is a Researcher at the Laboratoire d'intelligence et d'apprentissage visuels (VILAB) within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL) . His research focuses on advanced topics in artificial intelligence, computer vision, and machine learning, with particular emphasis on multimodal learning, vision-language models, and robust generalization. He is affiliated with the Department of Computer Science and contributes to projects exploring innovative solutions for vision tasks using computationally designed sensors and diffusion models. His work often bridges theoretical advancements with practical applications in robotics and generative systems. Key research areas include developing large vision-language models, optimizing vision algorithms for low-sensor environments, and enhancing model robustness through diversification strategies. His publications span topics from 3D data augmentation to uncertainty estimation in deep learning, reflecting a broad yet technically deep expertise in AI fundamentals and applications.

• 2D Materials
• Silicon Nanomembranes
• Micro/Nanofabrication
• +۴ مورد دیگر

Houk Jang is a Staff Scientist in the AI Accelerated Nanoscience division at Brookhaven National Laboratory's Center for Functional Nanomaterials. His expertise spans 2D materials, silicon nanomembranes, micro/nanofabrication, and analog neural networks. He leads the QPress initiative, developing autonomous tools for 2D material-stack production and characterization, aiming to automate and accelerate material research for CFN users. Education: B.S. (2010) in Materials Science and Ph.D. (2014) in Nano Engineering, both from Sungkyunkwan University, Korea. Postdoctoral research at Yonsei University and Harvard University. His work focuses on integrating AI with nanomaterials to advance optoelectronics, flexible electronics, and quantum systems. Research highlights include creating graphene-based flexible electronics, developing optical machine vision processors, and pioneering methods for 2D material layer detection. His 2022 Nature Electronics publication demonstrated in-sensor optoelectronic computing using silicon, while 2020 Advanced Materials work introduced atomically thin optoelectronic processors. Publications span over 40 peer-reviewed articles, emphasizing photonics, quantum effects in 2D materials, and neuromorphic devices. His lab collaborates on projects involving terahertz spectroscopy, nanoscale imaging, and bioinspired optical systems. Currently directs nanofabrication efforts and advises on scalable material synthesis techniques. Active in developing high-performance infrared photodetectors and tunable electronic devices leveraging graphene and topological materials.

Dick Botteldoorenمشاهده پروفایل

استاد

• Acoustic Modeling
• Noise Mapping
• Environmental Sensor Networks
• +۸ مورد دیگر

Dick Botteldooren is a full Professor of Acoustics at Ghent University, Belgium, leading the WAVES (Wireless, Acoustics, Environment & Expert Systems) research unit. He serves as I-INCE vice-president for Europe and Africa and previously held leadership roles as Editor-in-Chief of Acta Acustica (2004-2013) and president of the Belgian Acoustical Society (until 2018). His educational background includes: MSc in Electronic Engineering (1986, Ghent University) PhD in Applied Science (1990, Ghent University) Professor Botteldooren's research spans acoustic modeling, noise mapping, environmental sensor networks, computational intelligence, and human-inspired machine listening. His work integrates biomonitoring (particularly EEG), health impact assessment of sound, urban sound planning, and soundscape design with strong policy implications. Recent focus areas include AI-driven analysis of animal vocalizations and therapeutic soundscape design for dementia care. Analysis of his 2021-2025 publications reveals three dominant trends: (1) Machine learning applications in bioacoustics (especially broiler chicken vocalization monitoring for welfare assessment), (2) EEG-based attention detection systems using spiking neural networks and cross-modal transfer, and (3) Soundscape augmentation for dementia care through auditory processing-driven environmental interventions. His work consistently bridges computational methods with real-world acoustic challenges. His scientific recognition includes: Fellow of the Acoustical Society of America Professor Botteldooren has advised national and international health councils and noise policymakers, translating research into practice. His work has received sustained funding from the Belgian National Fund for Scientific Research and other international bodies, supporting both fundamental acoustics research and applied policy development. The WAVES research unit under his leadership conducts interdisciplinary work combining wireless sensor networks, computational intelligence, and human-centered acoustics, with active projects in urban noise monitoring, bioacoustic surveillance, and neuroacoustic applications.

• Semiconductor Devices
• Nanoelectronics
• Ferroelectric Memories
• +۳ مورد دیگر

Hyun Jae Lee is a Postdoctoral Fellow at Georgia Institute of Technology's College of Engineering , affiliated with the Department of Electrical and Computer Engineering . His research focuses on advanced semiconductor devices and materials for memory and neuromorphic computing. Lee's work explores ferroelectric field-effect transistors (Fe-FETs) , with emphasis on enhancing memory performance through innovations in oxide semiconductors , nanolaminate structures , and oxygen vacancy dynamics . His recent publications highlight advancements in gate-all-around nanosheet FETs , memory window optimization , and reliable low-temperature fabrication techniques . Key trends in his publications include the development of 3D ferroelectric memory architectures , domain-engineered materials , and interface layer engineering for improved device stability and scalability. His research bridges fundamental materials science and applied electronic device design. Email: hlee3132@gatech.edu

Somayeh Hussainiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Computer Vision
• Neuromorphic Computing
• +۴ مورد دیگر

Dr. Somayeh Hussaini is a Research Fellow at the QUT Centre for Robotics, Queensland University of Technology (QUT). She holds a Bachelor of Engineering (Honours) in Mechatronics from QUT (First Class Honours, 2020). Her research focuses on robotics, computer vision, and neuromorphic computing, particularly in developing biologically-inspired spiking neural networks for scalable visual place recognition. She has published at leading conferences like ICRA and IEEE Robotics and Automation Letters (RAL), and her Honours work earned the IEEE Best Thesis Award (2020). Her current projects involve adaptive robot localization, neuromorphic computing applications, and spike-based visual systems using Intel’s Loihi chip. Key contributions include sequence-matching algorithms for place recognition and hyperdimensional descriptors for scalable navigation systems. Her work bridges biological neural principles with robotic autonomy. Education : BEng (Honours) Mechatronics, QUT (2020) Awards : IEEE Best Final Year Thesis Award (2020) Advising : Supervised by Dr. Tobias Fischer and Prof. Michael Milford during her PhD. Lab Affiliation : QUT Centre for Robotics research group.

Xia Xiaoمشاهده پروفایل

استاد

• Auditing
• Financial Accounting
• Corporate Governance
• +۲ مورد دیگر

Xia Xiao is a Professor at the D'Amore-McKim School of Business, Northeastern University, specializing in auditing and financial accounting. She holds a PhD from the University of Arizona, an MAcc from the University of Minnesota, and a BBA in Accounting from Lingnan University. Her research focuses on auditor expertise, audit-related disclosures, and regulatory effectiveness. She is licensed as a CPA in New York and Hong Kong, and serves as an ad hoc reviewer for top accounting journals. Key contributions include studies on audit firm retirement policies and critical audit matter disclosures, published in The Accounting Review and Journal of Accounting and Public Policy. She actively participates in conferences like the Hawaii Accounting Research Conference and MIT Asia Conference in Accounting. Xiao’s professional experience includes roles at KPMG as an assistant manager in audit assurance. She is a member of the American Accounting Association and Hong Kong Institute of Certified Public Accountants. Her recent work emphasizes bridging auditing practices with regulatory impacts, contributing to both academic discourse and industry standards.

Abhishek Singh Dahiyaمشاهده پروفایل

پژوهشگر ارشد

• Flexible Electronics
• Nanomaterials
• Sensors Technology
• +۳ مورد دیگر

Abhishek Singh Dahiya is a Research Fellow in the Department of Electrical and Computer Engineering at Northeastern University. His research focuses on advanced nanomaterials and flexible electronics, with a particular emphasis on developing novel sensor technologies, energy harvesting systems, and wearable devices. He leads projects involving printed semiconductor devices, nanowire-based photodetectors, and 3D-printed hybrid electronics for applications in robotics and smart wearables. Key research areas include flexible hybrid electronics, neuromorphic transistor design, and sustainable energy solutions. His work integrates semiconductor nanomaterials (e.g., ZnO nanowires, silicon nanoribbons) with printing and additive manufacturing techniques to create high-performance, multifunctional systems. Recent innovations include self-powered solar skin for robotics, ultra-thin flexible chips, and biodegradable transient electronics. Dr. Dahiya collaborates on interdisciplinary projects combining materials science, photonics, and biomedical engineering. His publications span topics like piezoelectric nanogenerators, stretchable strain sensors, and printed memristor arrays. He actively contributes to advancing wearable healthcare sensors and energy-autonomous systems.

• Immunology
• Cancer Biology
• Infectious Diseases
• +۳ مورد دیگر

Associate Professor Helen McGuire is affiliated with the University of Sydney, holding a position in the School of Medical Sciences, Faculty of Medicine and Health. She is a member of the Sydney Southeast Asia Centre and the Charles Perkins Centre. Her research focuses on applying cytometry techniques, particularly mass cytometry (CyTOF), to study immune system dynamics in diseases such as cancer, infections, and cardiovascular conditions. She has been instrumental in launching mass cytometry in Australian medical research as part of Prof Barbara Fazekas’ team at the Ramaciotti Facility for Human Systems Biology. Education: BMedSci (UNSW), PhD in Immunology from Garvan Institute of Medical Research (2011). Professional Roles: Councillor of the International Society for Advancement of Cytometry, Marylou Ingram Scholar, past President of the Australasian Cytometry Society, and past Councillor of the Australian & NZ Society for Immunology. Her research interests emphasize translational immunology, with a focus on immune checkpoint blockade in cancer, cytokine signaling in inflammatory diseases, and biomarker discovery for atherosclerosis. She investigates T cell responses, CAR T cell therapy, and immunological mechanisms in conditions like multiple sclerosis and endometriosis. Her work bridges clinical applications and advanced cytometry methodologies for disease prediction and treatment efficacy. Recent publications highlight her expertise in mass cytometry for immune profiling, T cell exhaustion, and the interplay between microbiota and immune modulation in diabetes. She has also contributed to guidelines for immunological studies and protocols for phosphorylated signaling marker analysis in mass cytometry. Awards: 2019 Sydney Catalyst Best Oral Presentation, 2013 Stanford Postdoctoral Mentor of the Year, 2012 NHMRC Early Career Fellowship. In advising and grants, she mentors students like Natalie Smith (melanoma immunotherapy) and Shuwen Ye (pancreatic cancer therapies). She leads or co-leads grants on topics such as immune monitoring in cancer, cardiovascular precision medicine, and nanotechnology for contraception. Her grants include collaborations on inflammatory biomarkers in arthritis and AI-driven analysis of high-dimensional cytometry data. She is affiliated with the Ramaciotti Facility for Human Systems Biology and collaborates closely with Prof Fazekas de St Groth’s team. Her research also explores immune reconstitution post-hematopoietic stem cell transplants and cytokine profiles in viral infections.

Kerem Çamsarıمشاهده پروفایل

دانشیار

• Micro- and Nanoscale Engineering
• Photonics
• Electronics
• +۳ مورد دیگر

Kerem Çamsarı is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). He leads the Orchestrating Physics for Unconventional Computing (OPUS) Lab, focusing on interdisciplinary research that bridges materials science, device engineering, and computational systems. His work emphasizes exploiting novel materials and phenomena to design energy-efficient electronic circuits and architectures, diverging from traditional Moore's Law-driven approaches. Çamsarı holds a PhD and BS from Purdue University and Middle East Technical University, respectively, and completed a postdoc at Purdue. Research Interests : Micro- and nanoscale engineering, photonics, spintronics, probabilistic computing, and unconventional computing systems. His lab develops innovative hardware solutions for combinatorial optimization, probabilistic inference, and quantum-inspired algorithms using stochastic magnets and spintronic devices. Publications : Recent work focuses on Ising machines, probabilistic computing architectures, and spintronics-based hardware. Key themes include scalable connectivity solutions, low-power electronics, and hybrid CMOS-stochastic systems. Awards : Misha Mahowald Prize NSF Early CAREER Award IEEE Magnetics Society Early Career Award Advising & Grants : Active in securing NSF grants for probabilistic computing and neuromorphic systems. Collaborates on hardware-aware machine learning frameworks. Labs & Teams : OPUS Lab explores physics-to-systems integration, emphasizing cross-disciplinary innovation in computing architectures.

Fabio Dell'Acquaمشاهده پروفایل

استاد

• Remote Sensing
• Telecommunications
• Satellite Data Fusion
• +۳ مورد دیگر

Prof. Fabio Dell'Acqua is a Full Professor at the Department of Industrial and Information Engineering , University of Pavia , Italy. His academic activities span remote sensing, telecommunications, and data fusion for risk assessment. Expertise : Satellite data processing, agricultural monitoring, urban change detection Projects : ESA ARTES Demonstration Project "Saturnalia", FabSpace 2.0 educational initiatives Research Focus : He investigates Earth observation applications through: Advanced machine learning for SAR and Hyperspectral RS data Time series analysis of agricultural landscapes Band selection strategies for remote sensing systems Publication Trends : Dell'Acqua's recent work integrates multispectral satellite data with neuromorphic coding , focusing on: Energy-efficient communication in distributed networks Vineyard biomass monitoring via optical-SAR fusion Manure application detection for environmental compliance Academic Roles : Active contributor to ESA projects and IEEE Geoscience initiatives, with teaching responsibilities in Geospatial Data Processing courses.

• Neuroscience
• Cerebellum Physiology
• Purkinje Cell Function
• +۷ مورد دیگر

Vincenzo Romano is an Assistant Professor in the Department of Neurosciences at Erasmus MC, where he conducts interdisciplinary research at the intersection of neuroscience, neuromodulation, and neuroengineering. His work focuses on understanding cerebellar mechanisms underlying motor behavior and developing novel approaches for cerebellar stimulation. Research Interests: Dr. Romano’s research spans cerebellar physiology , Purkinje cell dynamics , motor behavior analysis , optogenetics , and real-time neural signal processing . He investigates how cerebellar circuits generate and modulate rhythmic behaviors and how these can be influenced through non-invasive stimulation techniques such as transcranial alternating current stimulation (tACS). Publication Trends: His recent publications (2022–2025) reveal a strong focus on both experimental neuroscience and computational modeling. Articles combine electrophysiological data from rodent models with engineering solutions for real-time spike classification and brain stimulation, indicating a growing trend toward translational neurotechnology. Scientific Awards: Veni Grant (awarded August 2023) Grants and Advising: Dr. Romano was awarded the competitive Veni grant from the Dutch Research Council (NWO), supporting his independent research. While no formal students are listed, his collaborative publications suggest active mentorship within large, multidisciplinary teams involving engineers and neuroscientists. Labs and Teams: He is part of a prominent neuroscience research group at Erasmus MC, collaborating closely with Prof. Chris I. De Zeeuw and others. His work integrates expertise from the Cerebellar Neurophysiology lab and computational teams working on neuromorphic hardware and real-time data analysis.