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Sean ArayasirikulView profile

Associate Professor

• Medical Sociology
• Public Health
• Health Disparities
• +6 more

Dr. Sean Arayasirikul (they/them) is an Associate Professor in the Department of Health, Society, and Behavior at the University of California, Irvine (UCI) Program in Public Health. They serve as Associate Director of the UCI-affiliated University of California Global Health Initiative Center for Gender and Health Justice and hold leadership roles in the Society for Implementation Research Collaboration and Robert Wood Johnson Foundation Interdisciplinary Research Leaders Program. Doctorate in Sociology, University of California, San Francisco B.A. in Asian American Studies, University of California, Los Angeles Their research examines health inequities among sexual and gender minoritized (SGM) communities through community-engaged methodologies, with a focus on: Health disparities among trans women, BIPOC, and intersectionally marginalized groups Digital health interventions and implementation science Participatory surveillance approaches for health justice Recent publications emphasize digital HIV care navigation tools, structural barriers to STI/HIV prevention, and intersectional analyses of mental health risks. They have secured grants for structural racism studies and developed homegrown interventions within the House and Ballroom community. Scientific Awards Robert Wood Johnson Foundation Interdisciplinary Research Leaders Fellow (2021-2024) Inter-CFAR Implementation Science Fellow (2020-2021) AMA Minority Fellow (Cohort 38) NIAAA T32 Pre-Doctoral Fellow NIH Loan Repayment Program Awardee (2018-2021, 2022-2023) Dr. Arayasirikul's applied experience includes public health work with HIV-positive youth, STI testing programs, and federal-level health literacy initiatives. They advocate for data democratization and community-driven solutions to address systemic inequities.

Mustapha C.E. YagoubView profile

Professor

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +5 more

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

Julian FierrezView profile

Professor

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +6 more

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Pamela K. SmithView profile

Professor

• Power and Status
• Social Cognition
• Motivation and Goal Setting
• +3 more

Pamela K. Smith is a Professor of Economics and Management at the Rady School of Management, University of California San Diego. Her research examines power, status, influence, and hierarchical dynamics in social and organizational contexts, with significant contributions to understanding gender representation in workplaces. Education: Ph.D. in Social Psychology, New York University (2004) Dr. Smith's work investigates how power affects cognitive processing, motivation, and interpersonal behavior. She explores how individuals signal and perceive power through language, nonverbal cues, and decision-making patterns. Her research demonstrates that power increases abstract thinking, alters temporal discounting, and influences social judgments like blame attribution. She also examines gender disparities in professional settings, including women's representation at academic conferences. Her 15 most recent publications (2016-2025) reveal consistent focus on power dynamics across multiple domains. Key trends include the relationship between power and prosocial behavior, the role of communication medium in signaling power, and gender-based inequities in academic and organizational hierarchies. Publications appear in top journals including Journal of Personality and Social Psychology and Personality and Social Psychology Bulletin. Scientific Awards: No major awards listed in source material Dr. Smith serves on editorial boards for Journal of Personality and Social Psychology and Social Psychological and Personality Science, having previously held associate editor roles at Personality and Social Psychology Bulletin. While specific grant details aren't provided, her sustained publication record in high-impact journals indicates successful research funding. She mentors graduate students through UCSD's Ph.D. program. Dr. Smith leads an active research laboratory investigating power dynamics in everyday contexts, with recent work examining how power manifests through vocal pitch, visual communication, and decision-making processes. Her lab's findings have practical implications for leadership development and creating equitable organizational structures.

• GPU Computing
• Parallel Computing
• Domain-Specific Languages
• +5 more

Prof. Dr.-Ing. Richard Membarth is a Research Professor for System-on-a-Chip and AI at the Edge Computing at Technische Hochschule Ingolstadt (THI). He is affiliated with the Hardware-Software Co-Design group and holds a secondary position at the German Research Center for Artificial Intelligence (DFKI) Saarbrücken. Co-creator of DSL frameworks like AnyDSL and Hipacc Key contributor to MetaDL (AI metaprogramming) and PRIME (predictive rendering) His research bridges GPU computing , domain-specific languages , and compiler technology , with recent work on Vulkan SPIR-V compilation and device-driven SpMV algorithms . Notable awards include the HiPEAC Paper Award (2018) and multiple Best Paper Awards for his compiler frameworks.

Pamela P MartinezView profile

Assistant Professor

• Computational Biology
• Host-Pathogen Interactions
• Infectious Diseases
• +3 more

Pamela P Martinez serves as an Assistant Professor at the University of Illinois Urbana-Champaign within the College of Liberal Arts & Sciences, holding concurrent appointments in Microbiology, Statistics, and the Center for Latin American and Caribbean Studies. Her research program integrates computational modeling with epidemiological data to address critical questions in infectious disease dynamics. Her primary research focuses on the interplay between ecological and evolutionary processes in pathogens, specifically investigating how climatic and demographic factors shape spatial-temporal disease patterns and how pathogen diversity influences public health interventions. She employs mathematical and computational approaches applied to longitudinal time-series data, with particular emphasis on SARS-CoV-2, dengue, malaria, and rotavirus. Her work bridges theoretical epidemiology with practical public health applications, often incorporating climate science and socioeconomic variables. Analysis of her 15 most recent publications (2021-2025) reveals consistent themes across computational biology, climate-infectious disease interactions, and pandemic response. Key trends include the development of novel modeling frameworks for pathogen evolution (e.g., ortholog refinement algorithms), quantification of climate drivers on tropical diseases, and rigorous assessment of intervention strategies during the COVID-19 pandemic. Her research demonstrates increasing integration of high-resolution mobility data, immune history analysis, and equity considerations in infectious disease modeling. No scientific awards are documented in the available information. Details regarding student mentorship, grant funding, laboratory infrastructure, or collaborative research teams are not provided in the source materials.

Ryozo NagamuneView profile

Professor

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +6 more

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Bhushan GopaluniView profile

Professor

• Process Control
• Machine Learning
• Chemical Engineering
• +7 more

Bhushan Gopaluni is a Professor in the Department of Chemical and Biological Engineering at the University of British Columbia, where he also serves as Associate Dean for Education and Professional Development in the Faculty of Applied Science. He holds associate faculty positions in multiple interdisciplinary institutes including the Institute of Applied Mathematics, Institute for Computing, Information and Cognitive Systems, Pulp and Paper Center, and Clean Energy Research Center. He previously held the Elizabeth and Leslie Gould Teaching Professorship from 2014 to 2017. Education: Ph.D. in Chemical Engineering, University of Alberta (2003) Bachelor of Technology in Chemical Engineering, Indian Institute of Technology, Madras (1997) Research Interests: Professor Gopaluni's research spans several critical areas at the intersection of chemical engineering, machine learning, and process control. His primary focus includes the development of advanced process control strategies using reinforcement learning and machine learning techniques. He has made significant contributions to battery technology research, particularly in capacity estimation and remaining useful life prediction for lithium-ion batteries. His work also encompasses sustainable energy systems, industrial process monitoring, fault diagnosis, and the application of digital twin technology in chemical processes. His research methodology emphasizes the integration of data-driven approaches with fundamental process understanding, leading to practical solutions for complex industrial challenges. This includes the development of interpretable machine learning models for industrial applications, real-time optimization strategies, and advanced monitoring systems for process industries. Publications and Research Impact: Professor Gopaluni's recent publications demonstrate a strong focus on cutting-edge applications of machine learning in chemical engineering. His work prominently features battery technology and energy systems, with multiple papers addressing lithium-ion battery capacity estimation and management. He has also contributed significantly to process control applications, including drilling process monitoring, greenhouse gas reduction in marine transport, and renewable carbon tracking in biofuel processing. His research extends to advanced computational methods including deep learning, reinforcement learning, and causal discovery in industrial processes. Awards and Recognition: Killam Teaching Prize (University of British Columbia) Dean's Service Medal (University of British Columbia) D.G. Fisher Award in Process Control (Canadian Society for Chemical Engineers) Elizabeth and Leslie Gould Teaching Professor (2014-2017) Professional Service and Editorial Roles: Professor Gopaluni currently serves as Associate Editor for three prestigious journals: Journal of Process Control, The Journal of Franklin Institute, and Results in Control and Optimization. His service to the academic community extends through his role as Associate Dean for Education and Professional Development, where he oversees educational initiatives across the Faculty of Applied Science. Industry Experience: From 2003 to 2005, Professor Gopaluni worked as an engineering consultant at Matrikon Inc. (now Honeywell Process Solutions), where he designed and commissioned multivariable controllers for British Columbia's pulp and paper industry and implemented controller performance monitoring projects across oil & gas and chemical industries.

Jordan TaylorView profile

Professor

• Motor Control
• Neuroscience
• Computational Motor Learning
• +2 more

Professor Jordan Taylor is affiliated with Princeton University as a faculty member in the Department of Biomedical Engineering within the School of Engineering and Applied Science. His research focuses on unraveling computational processes in motor control and learning, with particular emphasis on interactions between explicit cognitive strategies and implicit motor adaptation during skill acquisition. Taylor leads the Intelligent Performance and Adaptation Laboratory , aiming to develop optimal training protocols for motor rehabilitation post-stroke or disease. Research Interests : Taylor investigates how humans learn motor skills through dual mechanisms of declarative strategy formation and implicit neural adaptation. His work explores the neural systems underlying these processes and their functional consequences, especially in pathological conditions like cerebellar degeneration. Current studies examine working memory constraints, reward modulation of implicit adaptation, and plan-based generalization of motor learning. Publication Trends : Recent articles analyze dual mechanisms in sensorimotor learning, reward-driven adaptation, and contextual influences on motor memory. His computational neuroscience approach combines behavioral experiments, neural imaging, and theoretical modeling to study cognitive-motor interactions across various tasks.

• Skin Immunology
• T cells
• CD1a
• +3 more

Professor Graham Ogg is a leading academic at the University of Oxford, where he serves as Professor of Dermatology and leads the Skin Immunology Group. His research focuses on cutaneous immunity, particularly the role of CD1a-restricted T cells in inflammatory skin diseases. He is affiliated with the MRC Human Immunology Unit and MRC Weatherall Institute of Molecular Medicine, driving translational research on lipid antigen presentation and skin immune responses. Professor Ogg's investigations center on molecular mechanisms of skin inflammation, with emphasis on CD1a-mediated T cell activation and its implications for atopic dermatitis, psoriasis, and vaccine development. His work bridges fundamental immunology with clinical applications, exploring how lipid metabolism influences immune pathways in barrier tissues. Research themes include: CD1a-lipid interactions in cutaneous inflammation Therapeutic modulation of skin-specific T cell responses Translational models for dermatological drug delivery Immune mechanisms in allergic skin disorders Analysis of his recent publications (2024-2025) reveals dominant research streams: 1) Clinical dermatology focusing on systemic therapies for atopic eczema, 2) Immunological studies of dengue pathogenesis and metabolic interactions, 3) COVID-19 sequelae and immunity dynamics, and 4) Fundamental T cell biology in autoimmune/inflammatory contexts. This corpus demonstrates interdisciplinary integration of dermatology, virology, and immunometabolism. His scientific recognition includes: Fellowship of the Academy of Medical Sciences (FMedSci) Professor Ogg directs the Skin Immunology Group at the MRC Weatherall Institute, coordinating translational projects that investigate cutaneous immune circuits. The team employs single-cell analysis, spatial transcriptomics, and immunological profiling to dissect skin-specific immune responses, with ongoing work exploring CD1a-targeted therapeutic strategies.

• Power Systems
• Smart Grids
• Reactive Power Control
• +3 more

Charu Sharma is an Associate Professor in the Department of Electrical Engineering at UiT The Arctic University of Norway, specializing in power systems and smart grid technologies. Her work focuses on reactive power control, voltage stability, and optimization of renewable energy-integrated networks. Research on cyber-physical co-simulation frameworks for real-time grid management Development of hybrid renewable energy microgrids for rural and industrial applications Expertise in optimization algorithms (e.g., BFOA-PSO, ANFIS) for energy systems Recent publications highlight her contributions to DER-enriched distribution networks, low-inertia system stability, and intelligent load frequency control. She actively collaborates with researchers on projects like Cooperative Isolated Renewable Energy Systems and arcICE , addressing reliability and sustainability challenges.

• Structural Engineering
• Earthquake Engineering
• Composite Materials
• +3 more

Osman Kaya is a Professor in the Department of Civil Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering, Turkey. He has extensive experience in structural engineering, earthquake engineering, and composite materials for retrofitting applications. His educational background includes a PhD in Civil Engineering from Boğaziçi University (2010), with prior degrees from Boğaziçi University (MS, 2003) and Pamukkale University (BS, 1998). Education : PhD (Boğaziçi University, 2010), MS (Boğaziçi University, 2003), BS (Pamukkale University, 1998). Dr. Kaya's research focuses on seismic retrofitting of concrete structures using composite materials (CFRP), torsion analysis of reinforced concrete members, structural rehabilitation techniques, and earthquake resilience. His work includes analytical and experimental studies on beam-column joints, full-scale testing of concrete beams, and FRP-based reinforcement systems. His recent publications (2003-2025) emphasize composite retrofitting solutions, epoxy repair methodologies, torsion behavior in concrete beams, and seismic upgrading of existing structures. Key trends include CFRP sheets for shear-deficient joints and columns, chemical epoxy for joint rehabilitation, and full-scale experimental testing. Scientific Awards : Not explicitly mentioned. Dr. Kaya has supervised 6 graduate theses on topics like base isolation systems, torsion testing, and steel fiber applications in concrete. He has led 2 research projects funded by higher education institutions and participated in TÜBİTAK and other initiatives. He teaches advanced courses in structural analysis, reinforced concrete, and composite systems.

• Construction Automation
• Workforce Management
• Digital Technologies in Construction
• +3 more

Dr. Alireza Ahmadian Fard Fini is an Associate Professor at the University of Technology Sydney within the Faculty of Design and Society. With over 23 years of experience in the construction industry, his work bridges professional practice, teaching, and research, focusing on construction automation and workforce management . His research aims to enhance construction productivity through digital technologies and personalized workforce solutions. Education: PhD, University of New South Wales, Australia MEng, University of Calgary, Canada MSc, Iran University of Science and Technology, Iran BSc, Shiraz University, Iran Dr. Fini’s research spans construction automation (off-site processes, digital integration) and workforce management (skill development, safety). His recent publications highlight deep learning applications for progress monitoring, drone technology in material handling, and sustainable practices in timber construction. Collaborative projects with industry partners emphasize data analytics and cloud-based deployment for practical outcomes. Scientific grants include the CRC-P Industrialization of Nail-Laminated Timber , Beverly Homes’ Industrialization of Dowel Laminated Timber , and Edwards Scholarship for prefabricated timber systems . His teaching portfolio includes Design Team Management , Site Establishment , and Time Management at UTS. Future work will focus on standardizing timber panel stability , expanding UAV applications , and aligning mental health research with policy frameworks.

• Turbomachinery Aerodynamics
• Aeronautical Propulsion
• Unsteady Flow Analysis
• +3 more

Nicolas Binder is a Professor and Head of the Turbomachinery and Propulsion Research Group at ISAE-SUPAERO . His research focuses on turbomachinery aerodynamics, unsteady flow analysis, and innovative propulsion systems for aerospace applications. Member of EuroTurbo executive committee ASME Member Associate Editor, Journal of Turbomachinery Research expertise in off-design operations and windmilling flows Research Interests : Aerodynamics of turbomachinery in severe off-design conditions Unsteady flow dynamics in turbines Innovative propulsion methods including magneto-hydrodynamics Flow analysis techniques for compressors and fans Recent publications (2024-2021) emphasize transient flow modeling in turbines, windmilling operation optimization, and variable geometry turbine performance. Articles span experimental validation of numerical models, shock wave interactions, and novel propulsion concepts like plasma-thrusters for drones.

• Wireless Sensor Networks
• Internet of Things (IoT)
• Network Security
• +7 more

Professor Mohammed Salamah is a distinguished faculty member in the Computer Engineering Department at Eastern Mediterranean University's Faculty of Engineering. He maintains an office in room 114 and can be contacted at +90 392 630 1149/1334 or via email at muhammed.salamah@emu.edu.tr. His academic website provides additional resources for students and colleagues. Dr. Salamah earned his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University in 1988, 1990, and 1996 respectively, establishing a strong foundation for his career in network communications and wireless systems. His research interests span multiple critical areas in modern networking, with particular expertise in Wireless Sensor Networks, Internet of Things (IoT) security, Mobile Communications, and Energy Efficiency in network protocols. Professor Salamah has made significant contributions to the understanding of network security mechanisms, trust management systems, and optimization of wireless communication protocols. An analysis of his recent scholarly output reveals a strong focus on security challenges in IoT communication systems, controller placement optimization in software-defined wireless sensor networks, and trust-based malicious node detection schemes. His work demonstrates consistent attention to practical network performance issues while addressing emerging challenges in next-generation communication technologies. Throughout his academic career, Professor Salamah has demonstrated exceptional commitment to student mentorship, supervising numerous graduate students through their research journey. His administrative contributions include service as an associate editor, reviewer, and session chair for academic conferences. His laboratory work focuses on practical implementations of wireless communication protocols, with emphasis on energy efficiency, security mechanisms, and performance optimization for various network architectures including cellular networks, cognitive radio systems, and wireless sensor networks.