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Victoria SavaleiView profile

Professor

• Quantitative Methods
• Structural Equation Modeling
• Missing Data Analysis
• +2 more

Dr. Victoria Savalei is a Professor and Area Coordinator in the Department of Psychology at the University of British Columbia's Faculty of Arts. Her research focuses on quantitative psychology, particularly structural equation modeling (SEM), which integrates regression, path analysis, and factor analysis to test complex psychological theories. She develops methods for analyzing imperfect data including non-normally distributed data, missing values, categorical responses, and small samples. Her work critically evaluates SEM practices and addresses statistical challenges related to psychology's replicability crisis. Dr. Savalei holds a PhD from UCLA (2007). Her current work advances the two-stage (TS) method for handling incomplete data. Research interests include improving fit indices in SEM with categorical data, computational approaches for standard errors with incomplete data, and robust statistical methods for small samples.

• Consumer Psychology
• Behavioral Decision Making
• Marketing Strategy
• +1 more

Professor Shai Danziger is affiliated with the University of Sydney with extensive research contributions in Consumer Psychology , Behavioral Decision Making , and Marketing Strategy . His work spans economics, social psychology, and cognitive science, focusing on how consumers make choices under uncertainty and ethical constraints. Recent publications highlight his expertise in phonesthemes in branding , social investing dynamics , and power signaling in communication . Analysis of his 15 most recent articles (2024–2017) reveals consistent exploration of judicial decision biases , crowdfunding participation mechanisms , and ethical behavior in consumption . Key theoretical frameworks include social identity theory and prospect theory . Co-authored works with researchers like Dan Briley , Yael Shani , and Liora Hadar demonstrate interdisciplinary collaboration. While his email contact (shai.danziger@sydney.edu.au) is available, no specific lab affiliations or scientific awards are listed in the provided data.

Frank A. GomezView profile

Professor

• Microfluidics
• Point-of-care diagnostics
• Biochemical separations
• +6 more

Frank A. Gomez is Professor of Chemistry at California State University, Los Angeles and serves as the inaugural Executive Director of STEM-NET at the CSU Office of the Chancellor. With over 25 years of academic experience since joining Cal State LA in 1994, Dr. Gomez leads significant research initiatives in microfluidics and STEM education across the California State University system. Dr. Gomez received his B.S. in Chemistry from Cal State LA (1986) and Ph.D. from UCLA (1991), followed by postdoctoral training at Harvard University (1991-1994). His research program focuses on developing innovative microfluidic platforms for point-of-care diagnostics, microfluidic batteries and fuel cells, and chemical/biochemical separations. His work integrates paper and thread-based microfluidics with computational approaches like artificial neural networks and response surface methodology to optimize device performance. This research has significant applications in healthcare diagnostics, particularly in resource-limited settings. Dr. Gomez's recent publications demonstrate a strong focus on paper and thread-based microfluidic devices for glucose detection, dopamine sensing, and various bioassays. His work increasingly incorporates advanced materials like metal-organic frameworks and explores energy applications through microfluidic batteries. A notable trend is the integration of artificial intelligence techniques to optimize device performance and analysis. NSF CAREER Award (1997) CSUPERB Biotechnology Faculty Research Award (2007) Undergraduate Institution Mentor Award from SACNAS (2003) Hispanic Engineer National Achievement Award Conference (HENAAC) Most Aspiring Scientist Award (1993) Outstanding Young Educator Award from California Jaycees (1998) Dr. Gomez has mentored over 130 undergraduate, master's, and high school students along with 12 postdoctoral fellows, resulting in more than 185 student presentations. He directs the NSF-funded Cal State LA-Penn State U Partnerships for Research and Education in Materials (PREM) program, co-PIs the NSF CREST Center for Energy and Sustainability, and leads a W. M. Keck Foundation grant for course-based undergraduate research experiences. His laboratory includes students and researchers from diverse disciplines including chemistry, biochemistry, engineering, physics, biology, and mathematics.

Mathias BodeView profile

Lecturer

• Electrical Engineering
• Signal Processing
• Wireless Communications
• +3 more

Dr. Mathias Bode is a Lecturer of Electrical Engineering at the School of Computer Science and Engineering, Constructor University Bremen, Germany. His research focuses on signal processing, wireless communications, neural networks, and control systems. He has contributed to advancements in beamforming techniques for multicell networks, cognitive radio systems, and Hopfield neural networks for creative thought modeling. His work bridges electrical engineering and computational neuroscience, addressing challenges in self-organizing systems and network optimization. Research interests include robust communication protocols, neural network architectures, and interdisciplinary applications of signal processing. His publications span topics like physical-layer key generation for power-line transmission and pattern formation in dissipative systems. Key contributions include analytical models for self-organizing wireless networks and lateral neural models explaining binocular rivalry phenomena. He advises on emerging trends in hybrid hardware for neural algorithms and synergistic network designs.

• Computer Simulation
• Electrical Power Engineering
• Information Technology
• +7 more

Wilfried Elmenreich is a Professor at the Institute for Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He holds roles as Member of the Senate and Member of the Works Council for Academic University Staff. His research focuses on computational systems, energy engineering, and smart technologies, including swarm intelligence, cyber-physical systems, and sustainable energy solutions. Key interests include non-intrusive load monitoring (NILM), renewable energy integration, and decentralized learning paradigms. Research priorities encompass computer simulation, electrical power engineering, complex systems, and self-organization. Notable work includes frameworks like SwarmFabSim for production scheduling and CPSwarm for swarm robotics design. He also explores sustainability education and pandemic-related behavioral shifts in sustainability attitudes. Recent publications highlight advancements in federated learning for smart grids, energy disaggregation using NILM, and applications of biologically-inspired algorithms in critical infrastructure. His work integrates simulation reproducibility, open-source tools like Gradle/Docker, and educational games for renewable energy awareness (e.g., DAYSAM). Labs/Teams: Core member of the Institute for Networked and Embedded Systems, leading projects in CPS design, energy systems, and swarm robotics. Collaborates on EU initiatives like CPSwarm and educational outreach in sustainable development.

Jorge Gallego MadridView profile

Research Fellow

• 5G networks
• Artificial intelligence
• Network programmability
• +3 more

Jorge Gallego Madrid is a Research Fellow at Universidad de Murcia's Faculty of Informatics in the Department of Information and Communication Engineering, affiliated with the Intelligent Systems and Telematics group. His research focuses on AI-driven network programmability for 5G/B5G infrastructures, IoT systems, and zero-touch management. Recent publications explore eBPF/XDP technologies, ML-powered traffic processing, and vehicular network architectures. He earned his PhD in 2024 with the dissertation 'Towards AI-based Network Programmability as an enabler for Zero-touch management and orchestration in B5G infrastructures'.

Dino VillegasView profile

Teaching Professor

• Digital Marketing
• Social Media Marketing
• Hispanic Marketing
• +7 more

Dino Villegas is an academic and administrator at Texas Tech University, serving as Associate Dean for Undergraduate Programs and Teaching Professor in the Rawls College of Business , Department of Marketing and Supply Chain Management. He holds a PhD in Management from Universitat de Lleida, an MA in Communication from Universidad Diego Portales, and a BA in Social Communication, Business Management, and Marketing from Universidad Mayor. Research Focus: Online communities in social media, cultural/interactional dynamics in brand-consumer relationships, Hispanic marketing on Facebook, and political netnography/auto-netnography. Publications: Appeared in Journal of Marketing Management , Journal of Product and Brand Management , and authored Integrated Marketing Communication (2 editions). Professional Roles: Vice President of the Iberoamerican Communication Strategies Forum (FISEC), representing Texas Tech in committees at the Texas Higher Education Coordinating Board and serving on the Hispanic Serving Institution (HSI) Committee. His teaching portfolio spans undergraduate and graduate courses in Marketing, Digital Marketing, Marketing Research, and Marketing Communication. Villegas also contributes to academic discourse through his leadership in FISEC, a network of scholars from over 20 countries.

Jacob SaindonView profile

Visiting Assistant Professor

• Digital Geographies
• Science and Technology Studies
• Social Theory
• +5 more

Jacob Saindon is a Visiting Assistant Professor of Geography at Miami University specializing in digital geographies, science and technology studies, and social theory. His research critically examines intersections between information technologies, market forces, and consumer subjectivities with emphasis on spatial relations and attention economies. His educational background includes: MA in Geography from the University of Kentucky BA in Geographical Studies from the University of Chicago Saindon's research spans digital geographies, geospatial media, new media, and social theory, investigating how information technologies shape consumer subjectivities and spatial relations. His current project analyzes U.S. advertising industries' role in producing attention markets through media technologies that conceptualize and model attentive subjects. Prior work examined digital well-being practices during the COVID-19 pandemic, exploring user relationships with personal technologies amid global crisis. His publications reveal critical engagement with digital life's political dimensions, including care ethics during pandemics, queer-animal theory intersections, critiques of technological repair narratives, and historical analyses of datafication processes. These works demonstrate consistent focus on power relations within digital infrastructures and consumer subject formation. Saindon teaches undergraduate courses in geographies of information/digital technologies, GIS, and social research methods. His pedagogy emphasizes technological fluency and information literacy, preparing students to critically navigate diverse information systems through courses like "Mapping a Changing World" and "How the Internet Works: Digital Places and People".

Hoang TruongView profile

Academic

• Embedded Systems
• Wearable Sensing Systems
• Machine Learning
• +3 more

Hoang Truong is a Post-Baccalaureate Assistant Teaching Professor at the University of Colorado Boulder's Department of Computer Science. He holds a PhD in Computer Science from the same institution, an MS in Computer Science, and a BS (Cum Laude) in Electrical Engineering from KAIST, Korea. With 10+ years of experience, he bridges education, research, and engineering to connect theoretical CS concepts with real-world applications in embedded systems, wearable sensors, and machine learning. His teaching philosophy emphasizes accessibility, focusing on online Post-Bacc programs to support diverse learners like parents, musicians, and scientists applying CS to their fields. Education: PhD in Computer Science, University of Colorado Boulder MS in Computer Science, KAIST, Korea BS (Cum Laude) in Electrical Engineering, KAIST, Korea Research Interests: Truong's work centers on interdisciplinary applications of CS in healthcare and engineering. He develops wearable systems for health monitoring (e.g., blood pressure, pain quantification, sleep analysis) and embedded systems for drone detection. His designs prioritize user comfort and clinical relevance, blending machine learning with hardware innovation. Advising & Grants: Though no formal advisees are listed, his courses mentor non-traditional students transitioning into CS careers. His research has been applied to applications like seal quality determination, prosthetic tactile sensors, and behind-the-ear microsleep detection systems. Labs & Projects: Truong actively prototypes DIY sensors (e.g., breath monitoring cards, brain temperature sensors) and explores powerful PC builds for computational research. His GitHub profile reflects ongoing contributions to open-source sensor technologies.

Darko B. MiticView profile

Professor

• Automation
• Control Systems
• Electronics Engineering
• +3 more

Darko B. Mitic is a Full Professor at the Faculty of Electronics in Niš, University of Nis, specializing in Automation. He earned his PhD in Automation from the same institution in 2006, following a Master's (1997) and undergraduate degree (1992) in Automation. His career includes roles as Associate Professor (since 2016) and Professor (since 2021). Research focuses on control systems, sliding mode control, and automation technologies. Notable contributions include work on microcontroller-based boost converters, model predictive control, and automotive safety systems like ABS. He has authored over 13 peer-reviewed papers and participates in 2 national and 1 international research projects. His publications span journals such as IEEE/ASME Transactions on Mechatronics, International Journal of Electronics, and Journal of Circuits, Systems and Computers. Projects emphasize practical applications of control theory in electronics and mechanical systems.

Narendra B. DahotreView profile

Professor

• Additive Manufacturing
• Laser Materials Processing
• Advanced Materials
• +3 more

Prof. Narendra B. Dahotre is a Regents Professor in Materials Science and Engineering at the University of North Texas (UNT) and serves as Associate Vice President for the Center for Agile & Adaptive Additive Manufacturing. He founded the Laboratory of Laser Aided Additive and Subtractive Manufacturing (LAASM), a state-of-the-art facility for advanced materials processing. Research Interests: Laser-based additive and subtractive manufacturing of metals, ceramics, and composites Microstructure evolution and thermokinetics in additive processes Corrosion and mechanical behavior of additively manufactured alloys Magnetic and functional properties of additively manufactured materials Computational modeling and machine learning for process optimization Publication Trends (2022-2025): Recent work emphasizes laser directed energy deposition and powder bed fusion for refractory metals (tungsten, tantalum) and lightweight alloys (titanium, aluminum). Key themes include defect mitigation, microstructure control, and multi-scale modeling. There is growing interest in in-situ monitoring and machine learning applications. Scientific Awards: No specific awards mentioned in the source. Advising and Grants: Information not provided. Laboratory: The LAASM lab at UNT houses multiple high-power infrared laser systems designed for efficient, precise additive and subtractive manufacturing. It supports research on advanced materials for aerospace, biomedical, and energy applications.

Ilarion MihăilăView profile

Researcher

• Plasma Physics
• Laser Ablation
• Optical Diagnostics
• +4 more

Ilarion Mihăilă is a Scientific Researcher III at the Department of Exact Sciences and Natural Sciences, CERNESIM Center, Alexandru Ioan Cuza University of Iasi. He specializes in plasma physics, with expertise in plasma diagnostics, laser ablation, and thin film deposition. His work spans environmental, biomedical, and materials science applications. PhD in Physics (Plasma Physics), Faculty of Science and Engineering, Saga University, Japan Master’s and Bachelor’s in Physics (Plasma Physics), Faculty of Physics, Alexandru Ioan Cuza University of Iasi Research interests: Production and diagnosis of DC, AC, and RF plasmas (low pressure/atmospheric pressure), laser ablation for thin film deposition, mass spectrometry, and applications in pollutant destruction, biomedical treatments, and astrophysical carbon dust analogues. His studies explore plasma-seed interactions, flexible electronics substrates, and plasma-activated media in cancer therapy. Prominent article trends: Recent works focus on non-thermal plasma applications in agriculture (quinoa seed germination under saline stress), biomedical innovations (plasma-assisted chemotherapy), and materials science (surface relief gratings for flexible electronics). His plasma jet diagnostics and computational modeling address industrial and environmental challenges, while earlier studies emphasize magnetron sputtering, laser ablation, and fundamental plasma physics.

Kartik IyerView profile

Assistant Professor

• Atmospheric Physics
• Turbulence
• Thermal Convection
• +4 more

Kartik Iyer is an Assistant Professor jointly appointed in the Department of Physics and Department of Mechanical and Aerospace Engineering at Michigan Tech. He earned his PhD in Aeronautics from the Georgia Institute of Technology, followed by postdoctoral appointments at the University of Rome and New York University. Research focuses on Atmospheric Physics, Turbulence, Thermal Convection, and Numerical Simulations. Director of the Iyer Research Lab , specializing in supercomputing and turbulent flow analysis. His scientific work spans turbulence theory, scalar transport, and computational methods, with over 15 recent publications in top-tier journals. Key areas include the Zeroth Law of Turbulence, circulation statistics, bifractal scaling, and subgrid-scale modeling. Despite his focus on high-performance computing, no specific awards or honors are mentioned in the provided data. Dr. Iyer teaches courses related to atmospheric physics and heat transfer, emphasizing interdisciplinary approaches between physics and engineering disciplines.

• Ultra-Wideband Technology
• Indoor Localization
• Ranging Systems
• +5 more

Laura Flueratoru is a researcher at the University of Tampere, Finland, specializing in ultra-wideband technology for indoor localization systems. Her work focuses on developing robust, energy-efficient positioning solutions with particular expertise in non-line-of-sight mitigation and cross-platform implementations. She has established a strong publication record since 2017, with significant output between 2020-2023, indicating active ongoing research in wireless communications and localization technologies. Her research interests center around ultra-wideband communications for precise positioning, with emphasis on energy efficiency for constrained devices, platform independence across different UWB hardware, and innovative solutions for non-line-of-sight conditions that commonly degrade localization accuracy. She has developed self-learning approaches for detecting and mitigating signal interference, contributing to more reliable indoor positioning systems applicable in various real-world scenarios. Analysis of her publication trends shows consistent focus on ultra-wideband technology since 2017, with increasing specialization in energy efficiency and robustness from 2020 onward. Her work spans theoretical algorithm development, practical implementation challenges, and creation of open datasets for community validation. The research bridges electrical engineering, computer science, and practical applications in indoor positioning and wireless communications. Laura frequently collaborates with Elena Simona Lohan and Dragos Niculescu, with whom she has co-authored multiple publications across journals like IEEE Internet of Things Journal and conference venues including IPIN and MobiCom. Her collaborative network extends to researchers across Europe, particularly in Finland, Romania, and Switzerland, reflecting the international nature of her research in wireless communications. She has contributed significantly to open science through publicly available datasets, including ultra-wideband ranging measurements across multiple hardware platforms and BLE signal strength data for contact tracing applications. Her work on the FlexTDOA framework represents a notable contribution to robust time-difference of arrival localization techniques using ultra-wideband devices.

Rouskas AngelosView profile

Professor

• Wireless Communication Networks
• Edge Computing
• 6G Networks
• +4 more

Rouskas Angelos is a Professor at the Department of Digital Systems, University of Piraeus. He holds a Diploma in Electrical Engineering from the National Technical University of Athens (NTUA), a Master's in Communications and Signal Processing from Imperial College London, and a PhD in Electrical and Computer Engineering from NTUA. Previously, he served as Lecturer, Associate Professor, and Head of the Computer Systems and Communications Laboratory at the University of the Aegean (2000–2009). His research focuses on next-generation wireless networks, edge computing, and energy-efficient network design. He has led multiple national and EU-funded projects and worked as a network designer at CosmOTE (1999–2000). He chaired the Technical Committee for European Wireless 2006 and served on numerous international conference committees. Education: BEng: Electrical Engineering, NTUA MSc: Communications & Signal Processing, Imperial College London PhD: Electrical & Computer Engineering, NTUA Research Interests: His work centers on optimizing wireless networks, particularly in edge computing environments and 6G/IoT connectivity. Key areas include energy efficiency, heterogeneous network architectures, and latency reduction through adaptive resource allocation. Recent trends in his publications emphasize non-terrestrial networks and federated edge-cloud IoT systems. Grants & Leadership: He has coordinated国家级 and European projects focusing on green networks and edge computing. His technical leadership extended to roles in industry partnerships and academic administration. Labs & Collaboration: Past leadership at the Computer Systems & Communications Lab (University of the Aegean) and current involvement in edge-cloud research initiatives.