جست‌وجوی استاد و پژوهشگر

• Wastewater Treatment
• Process Control
• Mathematical Modeling
• +۶ مورد دیگر

John Copp is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University , specializing in wastewater treatment modeling and process control. His work bridges environmental engineering with computational methods, focusing on simulation benchmarks, digital twin applications, and real-time monitoring systems. Adjunct Assistant Professor, Computing and Software, McMaster University Research Interests include: Wastewater treatment process modeling Respirometry-based control strategies Digital twin development for water resource recovery Automation and fault detection systems Biological nutrient removal optimization His scholarly output spans over 25 years with notable trends in: Development of benchmark simulation models (BSM1, BSM2) Integration of anaerobic digestion with activated sludge processes Multi-biomass modeling for enhanced nutrient removal Machine learning applications in water quality monitoring

Viet Tung Hoangمشاهده پروفایل

دانشیار

• Cryptography
• Computer Security
• Applied Cryptography
• +۱ مورد دیگر

Viet Tung Hoang is an Associate Professor in the Department of Computer Science at Florida State University , USA. His research focuses on cryptography and computer security, with a particular emphasis on practical implementations and security proofs. Research Interests: He works on bridging theoretical cryptography with real-world applications, including topics like authenticated encryption, format-preserving encryption, and secure systems design. His work often targets cryptographic standards and practical security improvements. Scientific Awards: Best Paper Award - Usenix Security 2022 Best Paper Award - ACM CCS 2015 Best Paper Honorable Mention - EUROCRYPT 2015 Invited to Journal of Cryptology - CRYPTO 2016, CRYPTO 2013 Publications Trends: His recent work (2025-2017) spans major conferences like CCS, CRYPTO, and EUROCRYPT. Topics include tamper-evident logging, authenticated encryption standards, format-preserving encryption analysis, and multi-user security models. Several publications focus on improving real-world cryptographic implementations while maintaining provable security guarantees.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Diane Ebert-Mayمشاهده پروفایل

استاد

• Undergraduate biology teaching and learning
• Climate change impacts on alpine tundra ecosystems
• Faculty professional development in STEM
• +۳ مورد دیگر

Diane Ebert-May is a University Distinguished Professor in the Department of Plant Biology at Michigan State University, affiliated with the College of Natural Science. She leads research in biology education, focusing on learner-centered pedagogy, faculty professional development, and curriculum transformation. Education: Ph.D. from the University of Colorado Her research examines how professional development programs like FIRST IV sustain learner-centered teaching in early-career faculty, impacts of reformed introductory biology curricula on student performance, and model-based pedagogy for complex biological systems. She also investigates pedagogical content knowledge (PCK) in instructors and graduate teaching assistant (TA) professional development models. Recent publications track longitudinal impacts of teaching reforms, climate change effects on alpine ecosystems, and assessment protocols for three-dimensional STEM learning. Her work emphasizes institutional alignment with faculty values and organizational structures supporting educational innovation. She teaches a seminar for postdoctoral fellows and graduate students titled Pathways to Scientific Teaching , and her lab collaborates on NSF-funded projects, including DUE 1623834 and CCLI Phase III (DUE 0817224). Current studies analyze teaching practices across diverse institution types and their effects on student learning outcomes.

• Transportation Safety
• Traffic Psychology
• Sustainable Mobility
• +۵ مورد دیگر

Sergio Alejandro Useche Hernandez is an active Assistant Professor specializing in transportation safety and traffic psychology, with 134 publications reflecting deep expertise in human behavioral factors within mobility systems. His research spans road safety compliance, sustainable transport adoption, and mental health impacts across diverse populations including cyclists, delivery workers, and public transport users. His primary research interests focus on the intersection of psychology and transportation engineering, particularly sensation seeking in vulnerable road users, gender disparities in mobility choices, and technology-induced distractions. He employs advanced methodologies including Structural Equation Modeling (SEM), cross-cultural surveys, and systematic literature reviews to investigate phenomena like e-scooter adoption barriers in developing countries and mental health outcomes among transport workers. Key contributions include the validated SSC scale for cyclist risk assessment and frameworks for evaluating sustainable mobility policies through interdisciplinary lenses. Analysis of his 15 most recent publications (2024-2026) reveals three dominant trends: (1) growing emphasis on digital distractions across transport modes (cycling, motorcycling, driving), (2) sophisticated gender-based analyses of mobility barriers and safety outcomes, and (3) methodological innovation through integrated theoretical frameworks like TPB-UTAUT. His work consistently bridges academic rigor with policy relevance, particularly regarding last-mile delivery risks and post-crash psychological recovery. While no specific scientific awards are documented in the source material, his extensive publication record in high-impact journals (e.g., Accident Analysis and Prevention , Transportation Research Part F ) demonstrates significant scholarly recognition. The absence of listed advisees suggests primary focus on independent or collaborative research rather than graduate supervision, though his faculty position implies potential mentoring activities. His work shows strong alignment with European mobility policy initiatives and cross-national studies spanning Spain, Australia, Latvia, and the Dominican Republic, indicating robust international collaboration networks.

Lingjia Liuمشاهده پروفایل

استاد

• 5G/6G Networks
• Deep Learning in Communications
• Internet of Things (IoT)
• +۴ مورد دیگر

Lingjia Liu is a Professor and Bradley Senior Faculty Fellow at Virginia Tech's Bradley Department of Electrical and Computer Engineering. Her research focuses on enabling technologies for 5G/6G networks, including massive MIMO systems, dynamic spectrum access, and AI-driven communication networks. She holds a Ph.D. from Texas A&M University (2008). Research Interests : 5G/6G Network Architectures (3D MIMO, cloud-RAN, ultra-low latency) AI in Communications (Reservoir Computing, federated learning) IoT & Cyber-Physical Systems (energy harvesting, privacy protection) Non-Terrestrial Networks (satellite-based connectivity) Recent work emphasizes generative AI for network simulation, explainable AI in communication systems, and secure dynamic spectrum sharing. Her research spans theoretical foundations (e.g., OTFS modulation analysis) and practical implementations (e.g., FPGA-based reservoir computing). Awards : Bradley Senior Faculty Fellow (Virginia Tech). Her contributions bridge communication theory and AI, addressing 6G challenges through innovative algorithmic and architectural solutions. Current projects explore agentic protocol learning, federated multi-agent RL for spectrum access, and resilient ML under adversarial conditions.

Haining Wangمشاهده پروفایل

استاد

• Cybersecurity
• Networking Systems
• Cloud Computing
• +۵ مورد دیگر

Haining Wang is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on cybersecurity, networking systems, cloud computing, and cyber-physical systems. He holds a Ph.D. from the University of Michigan (2003). His work addresses critical challenges in network security, IoT device fingerprinting, drone navigation security, and 5G/6G infrastructure vulnerabilities. Notable contributions include developing frameworks for detecting deceptive reviews, securing industrial IoT devices, and enhancing geofencing systems with 6G technologies. Wang's IEEE Fellow award (2020) recognizes his contributions to network and cloud security. His research also explores cloud gaming security, data center thermal vulnerabilities, and DNS privacy risks. He actively publishes on topics like container registry typosquatting, acoustic indoor localization, and encrypted DNS censorship analysis. Education: Ph.D., University of Michigan, 2003 Awards: IEEE Fellow (2020) Key Research Areas: Cybersecurity, Network Measurement, IoT Security, 5G/6G Systems Wang's recent work emphasizes securing emerging technologies like drone navigation systems and optimizing sensor placements in indoor environments. His projects often bridge theoretical frameworks with practical implementations in real-world networks and cloud infrastructures.

Alberto Rosمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Processing
• Multicore Processors
• +۵ مورد دیگر

Alberto Ros is a Full Professor at the University of Murcia , Spain, in the Computer Engineering Department (DITEC) . His work focuses on cache coherence , memory hierarchy designs , memory consistency , and processor microarchitecture , with over 100 peer-reviewed publications. Dr. Ros earned his MS (2004) and PhD (2009) in Computer Science from the University of Murcia. He interned at the School of Informatics, University of Edinburgh , and held postdoctoral positions at the Technical University of Valencia and Uppsala University . He is an IEEE Senior Member . Research interests include optimizing hardware for multicore systems. His work spans cache coherence protocols, transactional memory, speculative execution, and data/instruction prefetching techniques. He led the ERC Consolidator Grant (2018) and ERC Proof of Concept Grant (2023) to improve multicore architecture performance. Recent publications emphasize hardware transactional memory efficiency, speculative execution, and secure cache systems. Notable works include cache locking, memory dependency prediction, and fine-grain coherence protocols. Scientific awards : Inducted into the MICRO Hall of Fame ISCA Hall of Fame 27 HiPEAC paper awards (MICRO, ISCA, HPCA, ASPLOS) Winner, ML-based Data Prefetching Competition Winner, 1st Instruction Prefetching Championship IEEE MICRO TopPicks for ISCA'17, MICRO'21 (honorable), MICRO'16 (honorable) Best paper awards at HiPC'16, FORTE'16 Honorable mention at HPCA'24 Nomination at ISCA'22 Grants as Principal Investigator include ERC Proof of Concept (2023) ERC Consolidator (2018) Europe Excellence (2018) Seneca Foundation, Young Leaders in Research (2014) . Dr. Ros is affiliated with the Computer Architecture and Parallel Systems Group (CAPS) at the University of Murcia and previously with UPMARC at Uppsala University.

X. Lucas Luمشاهده پروفایل

استاد

• Biomechanical Engineering
• Osteoarthritis
• Cartilage Biomechanics
• +۳ مورد دیگر

X. Lucas Lu is a Professor in the Department of Mechanical Engineering at the University of Delaware. His research focuses on biomechanical engineering, specifically investigating osteoarthritis and cartilage biomechanics. He holds a PhD in Biomedical Engineering from Columbia University. Research Interests: Prevention and treatment of post-traumatic osteoarthritis Mechanical forces' role in cartilage and bone cell signaling Advanced techniques: nanotechnology, proteomics, computational modeling Specific projects: statin therapy for osteoarthritis prevention, calcium signaling in chondrocytes, resveratrol treatments, temporomandibular joint biomechanics, post-surgery rehabilitation protocols, and tumor cell detection with nano-materials Publications emphasize global education policy, teacher effectiveness, and health systems in developing regions, though these appear unrelated to his stated biomedical engineering focus. Collaborates with graduate student Annie Porter on undergraduate research initiatives. Labs/Teams: Active in biomechanics research labs at the University of Delaware, mentoring students in interdisciplinary projects combining engineering and clinical applications.

Tor Skeieمشاهده پروفایل

استاد

• High-Performance Networking
• Distributed Systems
• InfiniBand Technology
• +۲ مورد دیگر

Tor Skeie is a Professor at the University of Oslo's Department of Informatics, specializing in networks and distributed systems. His research focuses on high-performance networking, InfiniBand technologies, and adaptive routing systems. Current investigations include automated parameter tuning for reservoir simulations, adaptive routing in InfiniBand hardware, and modeling WiFi quality attenuation. His work develops efficient solutions for virtualized HPC environments and cloud computing infrastructures. Recent publications demonstrate innovations in network modeling, adaptive routing algorithms, and performance analysis of distributed systems. Research collaborations span European projects on high-performance networking infrastructures. Leads the Networks and Distributed Systems (ND) research group investigating fault-tolerant routing, network virtualization, and congestion control mechanisms.

Aubyn C. Stahmerمشاهده پروفایل

استاد

• Autism Spectrum Disorder
• Early Intervention
• Implementation Science
• +۴ مورد دیگر

Aubyn C. Stahmer, Ph.D., is a Professor in the Department of Psychiatry and Behavioral Sciences at the University of California, Davis, and serves as Director of the Center for Excellence in Developmental Disabilities at the UC Davis MIND Institute. As a Licensed Clinical Psychologist and Board Certified Behavior Analyst, she leads interdisciplinary teams in clinical care and research for neurodevelopmental conditions. Dr. Stahmer earned her B.A. in Psychology from the University of Colorado, Boulder (1988) and her Ph.D. in Psychology from UC San Diego (1994). Her clinical training underpins her research-practice integration. Her research centers on effective early intervention strategies for autism spectrum disorder (ASD), with deep expertise in dissemination and implementation science . She pioneers adaptations of evidence-based interventions for community settings and low-resource areas, emphasizing parent coaching and naturalistic developmental behavioral interventions (NDBI) . Her work consistently addresses health disparities through culturally responsive frameworks. Recent publications (2018-2021) reveal three critical trends: (1) Neurodiversity-informed diagnostic practices that shift from deficit models, (2) Community-driven adaptations of ASD interventions through caregiver collaboration, and (3) Multi-level implementation strategies targeting systemic barriers in underserved populations. These themes reflect her commitment to equitable access and real-world impact. Dr. Stahmer's contributions have been recognized with prestigious honors: Runner-Up Emergency Medicine Choosing Wisely Champion Team Member (2018) Princeton Lecture Series Fellowship (2016) Implementation Research Institute Fellow (2012) Valliant Knight Award for Collaborative Research (2011) RCHSD Employee of Excellence Award (2008) San Diego Autism Society Health Hero Award (2006) APA Dissertation Research Award (1993) Her leadership in large-scale implementation trials—including Project ImPACT for Toddlers and multi-site cluster randomized studies—demonstrates sustained grant funding from NIH and foundation sources. While specific student advising isn't detailed, her role as Director involves mentoring junior researchers through the MIND Institute's training programs. As Director of the Center for Excellence in Developmental Disabilities, Dr. Stahmer oversees a multidisciplinary team of physicians, researchers, and clinicians conducting groundbreaking work in ASD intervention. Her lab focuses on community-partnered implementation research, with active projects examining cross-cultural service adaptation and implementation fidelity in diverse settings.

Sjoerd van der Heideمشاهده پروفایل

پژوهشگر

• Optical Communication
• Quantum Cryptography
• Digital Signal Processing
• +۳ مورد دیگر

Sjoerd van der Heide is a University Researcher at Eindhoven University of Technology, affiliated with the Electrical Engineering department and the Electro-Optical Communication group. His work focuses on advanced optical communication systems, with expertise in quantum key distribution, digital signal processing, and space-division multiplexing. Education: MSc in Optical Communication Systems (2017), thesis titled Low-complexity pre-compensation and advanced modulation techniques for high capacity intensity-modulated direct detection systems , supervised by Prof. C.M. Okonkwo. Research interests include: Quantum cryptography over free-space and fiber links GPU-accelerated real-time optical receivers Mode-division multiplexing techniques Holography-based fiber device characterization Atmospheric turbulence compensation Statistical modeling of mode-dependent loss Recent publications demonstrate trends in Continuous-variable QKD integration Co-propagation of classical and quantum signals Neural network applications for transmission High-capacity SDM systems Real-time GPU-based signal processing Off-axis digital holography techniques Scientific awards include: ECOC 2018 Student Paper Award Optica Student Paper Award (2022) OECC 2019 Best Paper Award Active in experimental validation of transmission systems, with collaborations on multi-core fiber implementations, turbulence generators, and software-defined optical receivers. Currently involved in the Zwaartekracht ECO project for integrated nanophotonics research.

Ingrid Moermanمشاهده پروفایل

استاد

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +۴ مورد دیگر

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

Raquel Alexandra Gonçalves Costaمشاهده پروفایل

دانشیار

• Maternal Mental Health
• Perinatal Psychology
• Psychometrics
• +۵ مورد دیگر

Raquel Alexandra Gonçalves Costa is an Associate Professor at University Lusófona's Faculty of Psychology and Education, where she serves as a key researcher in the School of Psychology and Life Sciences and the Human Environment Interaction Lab (HEI-LAB). With an h-index of 20 and 1,690 citations across 181 research outputs, she has established herself as a leading scholar in perinatal mental health research. Her research interests span maternal mental health, psychometric assessment in perinatal contexts, parenting programs, obstetric violence, and child development. Dr. Costa has made significant contributions to understanding depression screening tools like the Edinburgh Postnatal Depression Scale and has developed expertise in fear of birth assessment through multicountry studies. Her work bridges clinical psychology with practical healthcare applications, particularly in improving maternal care systems. Analysis of her recent publications (2023-2025) reveals a strong focus on how social support systems impact perinatal mental health outcomes, with particular attention to partner dynamics during childbirth and the moderating effects of women's mental health history. Her research increasingly incorporates innovative methodologies including EEG assessment during pregnancy and statistical learning approaches to mental disorder etiology. Best Research Article with a Practice Focus Award (2022) Dr. Costa actively leads and participates in significant research grants , including the TIK-PT project adapting emotion-focused parenting programs for the Portuguese context, the multinational Riseup-PPD-COVID-19-BABYS study comparing maternal mental health across pandemic cohorts in Spain and Portugal, and the HiTOP-SR project advancing psychological assessment methodologies. She serves on the Marcé Society for Perinatal Mental Health committee and regularly contributes expert evaluation for research funding bodies. As a core member of the Human Environment Interaction Lab (HEI-LAB), she collaborates with interdisciplinary teams integrating psychological research with technological approaches to mental health assessment and intervention. Her work with the Tuning in to Kids® program demonstrates her commitment to translating research into practical parenting support systems that address emotional regulation in parent-child relationships.

• Environmental Economics
• Environmental Regulation
• Corporate Social Behavior
• +۳ مورد دیگر

Jay Shimshack is Professor of Public Policy and Economics at the University of Virginia's Frank Batten School of Leadership and Public Policy, holding a Ph.D. from U.C. Berkeley and B.S. from Cornell University. Prior to UVA, he held faculty positions at Tulane University, Tufts University, and was a visiting fellow at the University of Michigan. His educational background includes: Ph.D. in Economics from University of California, Berkeley B.S. from Cornell University Shimshack's research focuses on environmental regulation, environmental economics, corporate social behavior, and applied microeconomics for public policy. He extensively examines environmental inequality, regulatory compliance mechanisms, and pollution enforcement effectiveness. His work bridges academic research with policy applications through advisory roles with federal agencies, with particular emphasis on citizen complaint systems, environmental justice, and Clean Water Act policy analysis. His recent publications (2019-2024) demonstrate empirical analysis of environmental regulations across domestic and international contexts, revealing consistent themes in compliance assistance effectiveness, transboundary pollution challenges, and socioeconomic disparities in environmental quality. The research combines rigorous economic methodology with real-world policy evaluation, particularly in U.S. regulatory settings and international case studies including Mexico and China. Shimshack has been acknowledged by the University of Virginia for excellence in research contributions, receiving institutional recognition for impactful scholarship that informs environmental policy debates. He has provided advisory services to the EPA, FDA, USDA, and other federal agencies; consulted for private organizations; and testified before the U.S. House of Representatives. His policy engagement includes publishing numerous book chapters and reports, most notably the 2023 analysis finding the Trump administration's Clean Water Act rollback relied on dubious methodology. At UVA, he teaches economics for public policy and benefit-cost analysis.