جست‌وجوی استاد و پژوهشگر

Per Bækgaardمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• User Experience
• Human-Centered Artificial Intelligence
• +۷ مورد دیگر

Per Bækgaard is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), specializing in Cognitive Systems. He serves as Head of Study for Human-Centered Artificial Intelligence, leading research in human-computer interaction, user experience, eye tracking, and cognitive neuroscience. His work bridges AI and human cognition to create systems that enhance daily life and support meaningful tasks. PhD, MSc EE, Technical University of Denmark His research interests center on Human-Computer Interaction (HCI) , User Experience , and Human-Centered Artificial Intelligence , with strong emphasis on Eye Tracking , Cognitive Neuroscience , and Digital Media . He explores how digital systems can adapt to users’ cognitive states using physiological signals like pupil dilation and gaze patterns, aiming to improve learning, health, and decision-making. His work aligns with UN Sustainable Development Goals in health and education. The recent publications reflect a strong trend in integrating eye tracking and pupillometry with AI-driven adaptive systems , particularly in education and healthcare. Themes include generative AI in learning , trustworthy AI in supply chains , and digital micro-interventions for mental health . The interdisciplinary nature spans computer science, psychology, and biomedical engineering, showcasing a cohesive focus on human-centered technology evaluation. Scientific Awards: Best Paper Award, 26 Jun 2020 – for contributions to gaze interaction research Per Bækgaard actively supervises PhD students and leads multiple research projects, including those involving generative AI in education , digital phenotyping , and AI in nursing and mental health . He is the main supervisor for several PhD projects and a co-supervisor or examiner in others, demonstrating a strong commitment to academic mentoring. His grant involvement includes projects funded by DTU and collaborative research initiatives in digital health and AI. He is part of the Cognitive Systems group at DTU, contributing to interdisciplinary research in AI, neuroscience, and human factors. His team collaborates on projects involving real-time physiological monitoring, adaptive interfaces, and AI-mediated learning systems, positioning him at the forefront of human-centered AI research in Scandinavia.

• Cybersecurity
• Digital Identity
• Offensive Cyber Operations
• +۹ مورد دیگر

Dr Duncan Hodges is a Senior Lecturer in Cyberspace Operations at Cranfield University, affiliated with the Centre for Electronic Warfare Information and Cyber within Cranfield Defence and Security. His research spans cybersecurity, digital identity, offensive cyber operations, and natural language processing applications in security. His research interests include: Identity in cyber and natural spaces Offensive cyber activity and information warfare Natural Language Processing in cybersecurity Insider threat detection Smart home and IoT security Hodges' recent publications (2015–2022) reflect a strong focus on behavioral biometrics, identity cues, privacy, and cyber-enabled crime. His work combines technical innovation with social science insights, especially in understanding human factors in cybersecurity. Key themes include keystroke dynamics, smart home vulnerabilities, and personality inference from digital behavior. Scientific Awards and Fellowships: ESRC NCRM Fellow on Digital Identity Visitor at the Alan Turing Institute Research Leadership and Grants: Lead PI on EPSRC project: 'People Powered for Desirable Social Outcomes' CO-I on EPSRC project: enabling sensitive disclosures via conversational agents Two projects funded by the Centre for Research and Evidence in Security Threats (CREST) Collaborations with EPSRC, ESRC, Innovate UK, and Defence Science and Technology Labs (DSTL) Labs and Research Groups: He is part of the Information Operations Group at Cranfield and collaborates with the Cyber Security Centre at the University of Oxford and the Alan Turing Institute .

• Energy and Power Systems
• Renewable Energy Integration
• Power System Stability
• +۱۳ مورد دیگر

Evan Franklin is an Associate Professor in Energy and Power Systems within the School of Engineering at the University of Tasmania. He also serves as Associate Head of Research, reflecting his leadership in advancing engineering research at the institution. His academic work is centered on modern power systems with a strong emphasis on renewable integration, grid stability, and sustainable energy technologies. His primary research interests include energy and power systems, renewable energy integration, grid frequency control, harmonic analysis, distributed energy resources (DER), battery and compressed air energy storage, agrivoltaics, and hydrogen integration. His work bridges engineering fundamentals with real-world applications in sustainable energy systems, contributing to Australia's transition toward clean energy. The recent publications of Dr. Franklin span high-impact journals such as Energies , IEEE Transactions on Industry Applications , Renewable and Sustainable Energy Reviews , and Journal of Energy Storage . The research trends reflect a strong focus on power system stability, microgrid control, harmonic mitigation, and innovative energy storage solutions. His work increasingly integrates AI and machine learning techniques for power quality and system monitoring, while also exploring interdisciplinary applications like agrivoltaics and offshore energy systems. Dr. Franklin has successfully supervised both PhD and Master’s students, including Ahmadreza Eslami and Md Ruhul Amin, with research topics ranging from harmonic analysis to frequency control using battery storage. He has secured substantial research funding from major national and international bodies, including the Australian Research Council (ARC), Australian Renewable Energy Agency (ARENA), CSIRO, and the Blue Economy CRC. Notable projects include the ARC Training Centre in Energy Technologies for Future Grids, MoorPower wave energy projects, and studies on hydrogen integration and black-start capabilities. He leads and participates in research teams focused on renewable energy systems, including the Centre for Renewable Energy and Power Systems at UTAS. His collaborative network includes key researchers such as Professor Michael Negnevitsky, industry partners like Carnegie Clean Energy and TasNetworks, and government agencies including Hydro Tasmania and Aurora Energy. His work is instrumental in shaping resilient, sustainable, and intelligent power systems for the future.

Gina Masulloمشاهده پروفایل

دانشیار

• Online Incivility
• Political Communication
• Digital Journalism
• +۵ مورد دیگر

Gina Masullo is an Associate Professor in the School of Journalism and Media at The University of Texas at Austin, where she also serves as Associate Director of the grant-funded Center for Media Engagement. She previously held an Assistant Professor position at the University of Southern Mississippi and has extensive experience as a journalist, working for newspapers like The Post-Standard in Syracuse, NY, where she covered crime, governance, and later parenting topics. Her formal education includes a Ph.D. and M.A. in Mass Communication from Syracuse University and a B.A. in Communication from Franciscan University of Steubenville. Her research focuses on digital media’s role in societal connection/division, online incivility’s effects, and how journalists can improve democratic engagement. She has co-edited works like Scandal in a Digital Age and authored Online Incivility and Public Debate . Current projects include the Knight Foundation-funded Connective Democracy Initiative, exploring solutions to societal polarization. Her work emphasizes bridging divides through empathetic communication and platform design. Dr. Masullo has won multiple awards for her research, including the 2023 Top Faculty Paper for LGBTQ+ discourse analysis and the 2019 AEJMC Research Prize for Professional Relevance. She teaches courses like Social Media Journalism and Fundamentals of Statistics. Notably, she has advised projects on protest coverage, news labels, and hate speech moderation, with grants totaling over $3 million through collaborations with institutions like Google News Initiative and the Hewlett Foundation.

Yevgen Biletskiyمشاهده پروفایل

استاد

• Knowledge-Based Systems
• Artificial Intelligence
• Semantic Web
• +۳ مورد دیگر

Yevgen Biletskiy is a Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), Fredericton. His academic roles include serving as Co-Director of the RuleML Initiative and Program Co-Chair of RuleML-2007. He holds a Ph.D. and is a licensed Professional Engineer (P.Eng.) in New Brunswick. His teaching spans graduate and undergraduate courses in software engineering, digital systems, and power electronics, including EE 6263 (Knowledge Representation for Software Engineering) and EE 6213 (Advanced Digital Systems). Research Interests: His work focuses on Knowledge-Based Systems , Artificial Intelligence , Semantic Web , Information Extraction , FPGA-based Design , and Renewable Energy . He has supervised over 40 graduate and undergraduate students, including 3 active PhD candidates, 1 completed PhD, 9 Masters, and 30+ research-based Bachelors. Publications: Over 100 peer-reviewed articles, including recent contributions on smart grid optimization, fault diagnosis in power electronics, and ontology-driven systems. Notable works include frameworks for semantic interoperability, rule-based learning systems, and FPGA applications. Professional Activities: Served as a reviewer for NSERC grants, IEEE journals (e.g., TKDE, TE), and conferences (CDC, WTAS). He has chaired tracks at international conferences and contributed to industry partnerships through consulting roles with firms like Netsphare Solutions and Vox Interactif. Labs/Teams: Active in UNB’s research initiatives involving power systems, semantic web technologies, and e-learning systems. His lab collaborates on projects like SEMESIS (semantic search systems) and advanced manufacturing post-processing techniques.

Enda Brophyمشاهده پروفایل

دانشیار

• Political economy of communication
• Communication and social change
• Labour and collective organizing in media and communication industries
• +۷ مورد دیگر

Enda Brophy is Associate Professor in the School of Communication at Simon Fraser University, where he researches and teaches at the intersection of political economy, labour, and social change in communication industries. Education & Training: While his formal degrees are not explicitly listed, Brophy’s extensive translation work of foundational Italian autonomist texts and his co-editorship of critical academic volumes signal advanced training in critical theory, labour studies, and communication research. Research Interests: Political economy of communication and digital media Labour and collective organising in media, cultural and creative industries Call-centre work and global outsourcing Platform labour and gig-economy dynamics Autonomist Marxist theory and worker inquiry Digital debt, financialisation, and resistance Student movements and university governance Precarious employment and creative labour Analysing his recent publications (2015-2020) reveals a consistent focus on the transformation of labour processes under communicative capitalism: from call-centre scripting and surveillance to food-delivery platform work during COVID-19, and from unpaid internships in creative industries to emergent forms of tech-worker organising using digital tools. These works collectively map how digital infrastructures mediate, discipline, and occasionally enable new solidarities among precarious workers. Awards & Recognition: 2018 Canadian Association of Work and Labour Studies Book of the Year Award for Language Put to Work 2018 Canadian Communication Association Gertrude J. Robinson Book of the Year Award for Language Put to Work Confederation of University Faculty Associations of BC Academic of the Year Award Research Grants & Collaborative Projects: He co-leads Cultural Workers Organize , a multi-investigator SSHRC-funded project with Greig de Peuter, Nicole Cohen, Kate Oakley and Marisol Sandoval, investigating collective responses to precarity among cultural and creative workers in Canada and the UK. Editorial board memberships at Studies in Political Economy , Work Organisation, Labour and Globalisation , and tripleC further anchor his scholarly leadership. Graduate Supervision & Teaching: Brophy currently teaches CMNS 130 Communication and Social Change and actively supervises MA and PhD students working on labour, social movements, and digital media. He is formally associated with SFU’s Labour Studies Program as an Associate.

Guifang Liمشاهده پروفایل

استاد

• Optical Communication
• Networking
• RF Photonics
• +۳ مورد دیگر

Guifang Li is a Professor of Optics and Electrical & Computer Engineering at the University of Central Florida (UCF), affiliated with CREOL, The College of Optics and Photonics. He holds the position of Editor-in-Chief of Advances in Optics and Photonics . His academic journey includes a Ph.D. from the University of Wisconsin-Madison and leadership roles such as Director of the NSF IGERT program in Optical Communications and Networking at UCF. Dr. Li's research focuses on optical communication and networking , RF photonics , and all-optical signal processing . His innovations include pioneering work on photonic computing architectures and high-capacity optical communication systems. He co-founded Optium, UCF's first venture startup, which became a public company (OPTM) in 2006 and later part of II-VI. His scientific contributions are recognized through prestigious awards, including the NSF CAREER Award, Office of Naval Research Young Investigator Award, and fellowships from IEEE, OSA, SPIE, and the National Academy of Inventors. He has advised over 20 Ph.D. students and leads a multidisciplinary research group involving postdoctoral scholars and graduate students. Recent research trends in his publications emphasize photonic computing (e.g., photonic matrix processors, floating-point arithmetic) and advanced optical systems (e.g., quantum cascade lasers, MPLC-based demultiplexers). His work bridges fundamental optics with practical applications in telecommunications and sensing. Labs/Teams: His research team specializes in optical communication systems, photonic integrated circuits, and computational optics.

NAOFAL AL-DHAHIRمشاهده پروفایل

استاد

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

Dr. Naofal Al-Dhahir is the Erik Jonsson Distinguished Professor of Electrical and Computer Engineering at University of Texas at Dallas , affiliated with the Erik Jonsson School of Engineering and Computer Science . He serves as Associate Department Head for Undergraduate Education and leads the Broadband Information Transmission & Signal Processing (BITS) Laboratory . His research focuses on 6G communications, intelligent reflecting surfaces (IRS), federated learning, integrated sensing and communication (ISAC) , and wireless security. With over 600 publications and 43 US patents, he is an IEEE Fellow (2008), NAI Fellow (2020), and recipient of numerous awards including the 2022 IEEE RCC Technical Recognition Award and 2021 Qualcomm Faculty Award. Educations: PhD (Stanford University, 1994), MSc (Stanford University, 1990) Professional Roles: Editor-in-Chief of IEEE Transactions on Communications (2016-2019), Technical Staff at GE Global Research and AT&T Labs (1994-2003) Research Interests His work spans IRS-based 6G systems, machine learning for communications, vehicular networks, and smart-grid technologies . Recent contributions include secure ISAC designs and low-complexity signal processing algorithms. Collaborations with industry leaders like Qualcomm and Apple highlight his impact on practical applications. Students & Labs Alumni include professionals at Qualcomm, Apple, and NASA. The BITS Lab has hosted researchers from global institutions like KAUST and Xidian University. Current projects explore covert communications, Movable Antenna Systems (MAS), and AI-driven spectrum management .

• Applied Statistics
• Optimization
• Data Visualization
• +۷ مورد دیگر

Zhongyuan (Annie) Yu is a Teaching Associate Professor in the Department of Systems and Enterprises at Stevens Institute of Technology. She holds a PhD in Systems Engineering (2014), and two MS degrees in Operations Research (2012) and Industrial Engineering (2010), both from Georgia Institute of Technology. Her research bridges applied statistics, optimization, data visualization, and socio-economic systems analysis. Key focus areas include healthcare systems engineering, defense acquisitions, and interactive decision support systems. She leads software engineering education initiatives, including serving as Program Director for the Software Engineering Program (2022-2024). Yu has secured major grants from DoD DASD(SE) and NIH, focusing on mega-project management, digital engineering integration, and healthcare policy simulations. Her 2023-2024 research explores HIPAA compliance challenges in software engineering and patient trust in electronic health records. Her publications span health informatics, portfolio optimization networks, and systems engineering methodology. Notable works include developing policy flight simulators for healthcare interventions and semantic integration frameworks for digital engineering interoperability. Teaching responsibilities include courses like Agile Methods for Software Development, Data Analysis & Visualization, and Engineering Economics. She advises capstone projects and maintains active roles in curriculum development for systems and software engineering programs.

Marcias Martinezمشاهده پروفایل

استاد

• Structural Integrity Analysis
• Structural Health Monitoring (SHM)
• Composite Materials
• +۵ مورد دیگر

Dr. Marcias Martinez is a Professor & Chair of the Mechanical & Aerospace Engineering Department at Clarkson University, affiliated with the Coulter School of Engineering & Applied Sciences and the Center for Advanced Materials Processing (CAMP). He holds a Ph.D. (2006) and M.S. (1999) in Mechanical Engineering from Carleton University, along with a B.S. (1995) in the same field. Roles: Chair of Mechanical & Aerospace Engineering, Principal Investigator of the HolSIP Lab. Affiliations: Clarkson University, CAMP, and collaborations with TU Delft and industry partners. His research focuses on the development of the Holistic Structural Integrity Process (HolSIP) , integrating advanced technologies like Structural Health Monitoring (SHM), Machine Learning, and Finite Element Analysis to assess aerospace and mechanical structure reliability. Key areas include: Composite materials and fatigue analysis Load monitoring and fracture mechanics Adaptive structures and sensor fusion Publications emphasize experimental and computational methods, with recent trends in: Material characterization (viscoelastic behavior, composites) NDT techniques (ultrasonic, fiber optics) Structural durability and failure prediction Recipient of prestigious awards like the AIAA Associate Fellow (2023) and Charles H. Jennings Award (2020) . Active in mentoring over 20 graduate students and securing grants from the NSF, ONR, and industry. Labs include advanced equipment: Luna fiber optic systems, electromechanical test frames, and computational clusters. Collaborations span academia (TU Delft) and industry (Lockheed Martin, Dassault Foundation).

Nirwan Ansariمشاهده پروفایل

استاد

• 6G Networks
• Wireless Charging
• Machine Learning
• +۵ مورد دیگر

Nirwan Ansari is a Distinguished Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on cutting-edge advancements in 6G networks , wireless charging , machine learning , and Internet of Things (IoT) . He has contributed extensively to AI-driven network optimization and sustainable energy solutions for next-generation communication systems. Ph.D., Electrical Engineering, Purdue University (1988) M.S., Electrical Engineering, University of Michigan-Ann Arbor (1983) B.S., Electrical Engineering, NJIT (1982) His recent work explores AI-native network slicing , UAV-assisted edge computing , and holographic communication . Publications highlight synergies between terrestrial and non-terrestrial networks , digital twin integration, and energy-efficient IoT systems . He serves as an Honorary Chair and contributes to major conferences like IEEE INFOCOM and IWCMC.

Uwe Meyer-Baeseمشاهده پروفایل

دانشیار

• Digital Signal Processing
• FPGA Design
• VLSI Systems
• +۴ مورد دیگر

Uwe Meyer-Baese is an Associate Professor in the Electrical and Computer Engineering Department at the FAMU-FSU College of Engineering. He holds a Ph.D. (Dr.-Ing. habil) from Darmstadt University of Technology, Germany. His research focuses on Digital Signal Processing with FPGAs, VLSI design, and medical imaging applications. He has authored over 100 publications, 5 books, and holds 3 patents. He has been recognized with awards such as the Humboldt Fellowship (2009) and the FAMU-FSU Teaching Award (2007). Education History: Dr.-Ing. habil (Venia Legendi), Darmstadt University of Technology, Germany, 2003 Ph.D. (Dr. Ing.), Darmstadt University of Technology, Germany, 1995 M.S., Darmstadt University of Technology, Germany, 1989 Research Interests: FPGA-based embedded systems and real-time DSP Low-power VLSI architectures Medical image processing (e.g., breast MRI, brain tumor analysis) Hardware security and intellectual property protection Graph theory applications in biological networks Recent work includes advancements in FPGA implementations for microprocessor systems, brain network controllability studies, and AI-driven medical diagnostics. His lab focuses on bridging hardware design with biomedical applications, emphasizing practical implementations through FPGA platforms. Awards: Max-Kade Award in Neuroengineering (1997) ECE Department Research Award (2005) Humboldt Fellowship (2009) FAMU-FSU Teaching Award (2007) He has advised over 60 master’s theses and contributed to major grants in FPGA-based medical systems. His book Digital Signal Processing with Field Programmable Gate Arrays is a widely used textbook in the field.

Francesc Moll Echetoمشاهده پروفایل

دانشیار

• Energy Harvesting
• Integrated Circuit Design
• Low Power Electronics
• +۵ مورد دیگر

Francesc Moll Echeto is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Enginyeria Electrònica and the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He leads the HIPICS research group focused on high-performance integrated circuits and systems design. His expertise spans energy harvesting, low-power electronics, process variability management, and secure circuit design. He coordinates the Doctorat en Enginyeria Electrònica program and has coordinated EU-funded projects like the European Processor Initiative (EPI). Education: M.S. in Physics, Universitat de les Illes Balears, 1991 Ph.D. in Electronic Engineering, Universitat Politècnica de Catalunya, 1995 Research Focus: His work addresses energy-efficient computing, including: - Design of circuits tolerant to manufacturing variability - Energy harvesting from mechanical and RF sources - Secure hardware countermeasures against side-channel attacks - RISC-V architecture implementations in advanced technologies - Edge computing and autonomous sensor systems Grants & Collaborations: Coordinator of R&D projects like 'ARQUITECTURA DE COMPUTADORES DE ALTAS PRESTACIONES' (PID2023-146511NB-I00) Part of the Barcelona Zettascale Lab consortium Collaborations with Barcelona Supercomputing Center and industry partners Awards: HiPEAC Paper Award (2023, 2024) for innovations in vector processing and DNN acceleration Labs/Teams: Leads the HIPICS group and the EFRICS subgroup, collaborating on EU-funded initiatives like the European Processor Initiative. Active in open-source silicon projects (e.g., Sargantana RISC-V processor).

Francesc Torresمشاهده پروفایل

استاد

• Remote Sensing
• Microwave Engineering
• Space Technology
• +۴ مورد دیگر

Francesc Torres is a Full Professor at the Signal Theory and Communications Department of the Universitat Politècnica de Catalunya (UPC-BarcelonaTech). He holds a Doctor Ingeniero degree in Telecommunication Engineering from UPC (1992) and has extensive experience in microwave systems and space instrumentation. His research focuses on remote sensing, interferometric radiometry, and the European Space Agency's SMOS mission. He co-leads the Barcelona SMOS Expert Centre for radiometric calibration and ocean salinity studies. Torres has contributed to numerous ESA projects and served as a visiting scholar at NASA's Jet Propulsion Laboratory (2005-2006). His work bridges engineering education, with publications on STEM pedagogy and early-career development, and advanced instrumentation for Earth observation. Education: Ingeniero en Telecommunication Engineering (1988) Doctor Ingeniero en Telecommunication Engineering (1992) Research Interests: His primary areas include microwave radiometry, spaceborne sensors, calibration methodologies, and the application of remote sensing to geophysical studies. He also explores educational strategies to enhance critical thinking and self-management skills in STEM students. Current projects involve improving SMOS data accuracy through novel calibration techniques and developing educational frameworks for sustainable engineering practices. Grants & Projects: Key contributions include the SMOS mission calibration validation (CALIMAS team), GeoSTAR pilot project (JPL), and SuperMIRAS instrument development. He has led efforts to mitigate systematic errors in SMOS data and pioneered polarimetric analysis methods for rain events and ionospheric studies. Labs/Teams: Director of the Remote Sensing Laboratory (UPC), collaborating with ESA, JPL, and international research networks. Active in the Barcelona SMOS Expert Centre and the SMOSOps-Hexagonal initiative for operational mission improvements.

Patrick McCormickمشاهده پروفایل

استادیار

• Radar Systems
• Signal Processing
• RF Engineering
• +۳ مورد دیگر

Patrick McCormick is an Assistant Professor and Assistant Scientist in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Information Sciences (I2S) at the University of Kansas. He joined the university in 2021 after working at the Air Force Research Laboratory - Sensors Directorate (2018-2021). His research focuses on RF systems, signal processing, and waveform design for radar and communication systems. B.S. Mechanical Engineering, University of Kansas (2008) B.S. Electrical Engineering, University of Kansas (2013) Ph.D. Electrical Engineering, University of Kansas (2018) McCormick’s research areas include optimal emission design, multifunction transmissions, hardware characterization/compensation, and adaptive model-based parameter estimation. He leads the Radar Systems and Remote Sensing Laboratory (RSL) and has published extensively in radar waveform diversity, spectrum sharing, and adaptive signal processing. Recent work trends emphasize dual-function radar-communications co-design, low-cost systems, nonlinear hardware characterization, and digital array optimization. His publications span topics like waveform optimization, mutual coupling compensation, and power-efficient joint systems. IEEE Aerospace and Electronic Systems Society 2018 Robert T. Hill Best Dissertation Award He advises graduate students and collaborates with researchers at institutions like the Air Force Research Laboratory (AFRL), University of Oklahoma (OU), and international conferences. His service includes conference chairs, special session organization, and journal reviewing for IEEE Transactions on Signal Processing and Aerospace Systems. McCormick holds memberships in IEEE, Signal Processing Society, and Young Professionals. His lab seeks motivated graduate students for research in radar waveform design and RF systems.