Clemente Jesus Navarro Yañez is a Professor at Pablo de Olavide University , affiliated with the Centre for Urban Political Sociology and Policies and the SPL-UPO Political Sociology and Local Policies Research Group . He contributes to Political Sociology , Urban Sociology , and Comparative Politics through extensive publications and international collaborations. Key research domains include: Urban Regeneration: Methodological frameworks for evaluating urban policy impacts, notably in Andalusia Cultural Scenes: Analyzing how cultural consumption patterns drive local development Political Contention: Comparative studies of protest mechanisms in Southern Europe and Latin America His methodological expertise spans: Quasi-experimental area comparisons Multivariate regression analysis Protest event analysis protocols Cluster analysis of temporal dynamics Scientific contributions appear in Political Studies , European Urban and Regional Studies , and Social Forces , with a focus on: Political participation mechanisms Creative class localization Contextual determinants of municipal governance Comparative housing regime analysis
Itahisa Pérez Pérez is a Spanish education researcher who served as a faculty member in the Department of Education and Social Psychology at Universidad Pablo de Olavide (Seville, Spain) between 2009 and 2022. Affiliated with the research groups GIAS (Grupo de Investigación en Acción Socioeducativa) and GEDUPO , she has produced an extensive scholarly record spanning HIV-prevention education, community development, socio-cultural animation, and innovative pedagogies aligned with the United Nations Sustainable Development Goals. Education PhD in Education, Universidad Pablo de Olavide, 2013 – Thesis: "Conocimientos y prácticas de riesgo en VIH-SIDA: una estrategia de Cooperación en Educación para el Desarrollo en Nicaragua" (Supervised by Dr. Juan Agustín Morón Marchena). Research Interests Her scholarly agenda has evolved from early work on HIV-risk behaviours and Nicaraguan youth to a current focus on innovative higher-education methodologies (mind-mapping, flipped classroom, cooperative learning) and the integration of the 2030 Agenda into university curricula. She explores how University Social Responsibility can drive holistic, value-centred educational innovation, and she has become a leading voice in mapping university resources against SDG indicators. Publication Trends Between 2020 and 2023 she authored or co-authored more than twenty peer-reviewed articles, all clustered around three dominant themes: (1) pedagogical innovation (mind maps, flipped classroom, jigsaw techniques), (2) sustainability in higher education (SDGs, social curriculum, best-practice guides), and (3) community-oriented socio-educational action (socio-cultural animation, diversity attention, HIV education). This recent surge reflects a strategic pivot toward institutional transformation and policy-oriented research. Scientific Awards & Recognition No competitive awards or fellowships are explicitly mentioned in the supplied documents. Advising & Grants No doctoral or master’s students are listed, and grant details are absent from the provided sources. Labs, Teams & Networks She has collaborated within GIAS and GEDUPO at Universidad Pablo de Olavide, and her recent publications indicate ongoing cooperation with colleagues at the University of La Laguna , suggesting a cross-institutional network focused on SDG-aligned educational innovation.
Ramavarapu S Sreenivas is a Professor in the Industrial and Enterprise Systems Engineering department at the University of Illinois at Urbana-Champaign , with research appointments at the Coordinated Science Laboratory (CSL) and the Information Trust Institute (ITI ). He holds a joint affiliation with the Electrical and Computer Engineering department and serves as the Arthur Davis Faculty Scholar since 2016. Ph.D. , Electrical and Computer Engineering, Carnegie Mellon University (1990) M.S.E.E. , Carnegie Mellon University (1987) B.Tech , Electrical Engineering, Indian Institute of Technology Madras (1985) His research focuses on Discrete-Event/Discrete-State (DEDS) systems , applying Coding Theory, Machine Learning, and Information Theory to develop near-optimal supervisory policies for applications in wireless networks, automated manufacturing, and healthcare systems . He leads the Center for Autonomous Construction and Manufacturing at Scale (CACMS) , established in 2023. Recent publications highlight advancements in liveness enforcement in Petri nets , fault-tolerant control , and IoT-based load scheduling . His work bridges theoretical rigor with practical implementations in Distributed Control, Network Coding , and Reinforcement Learning . UIUC Campus Award for Excellence in Graduate and Professional Teaching (2023) Arthur Davis Faculty Scholar (2016) Senior Member, IEEE (2002) James Franklin Sharp Outstanding Teaching Award in Industrial Engineering (2017, 2012) Sreenivas has taught graduate and undergraduate courses in Control Systems, Integer Programming, and Financial Computing since 1992. He co-instructed courses in Health Technology and contributed to the Master of Science in Financial Engineering (MSFE) program, which ranks 4th nationally.
Professor Odd Jarl Borch is a prominent academic at Nord University specializing in emergency preparedness, crisis management, and Arctic security. His work bridges theoretical research with practical implementation through international collaborations and policy contributions. Education: Harstad Gymnasium Norwegian School of Economics Umeå University, Sweden Indiana University, USA Bodin Maritime College Professor Borch's research focuses on emergency preparedness systems in high-complexity environments, particularly in the Arctic region. His work examines civil-military cooperation, hybrid threats, and organizational management during crises. He has pioneered research on maritime safety in polar regions and developed frameworks for cross-border emergency response coordination. His approach integrates theoretical organizational models with practical crisis management applications, emphasizing the unique challenges of Arctic operations. His recent publications (2020-2024) reveal a strong trajectory toward hybrid threat analysis and collaborative security frameworks. The research consistently addresses Arctic-specific challenges while developing universally applicable emergency response models. Key themes include virtual network intelligence, civil-military coordination mechanisms, and structural adaptations for high-complexity environments. His work demonstrates increasing emphasis on digital transformation in emergency management and the evolving nature of security threats in polar regions. Professor Borch leads significant research initiatives including the NORDLAB Center for Emergency Preparedness and Cooperation and coordinates a network of 25 European researchers on civil-military preparedness. He has initiated major international collaborations such as the Arctic Safety and Security network with 22 universities and the ARCSAR innovation network. His practical impact extends to public service through membership on the Corona Commission, the Total Emergency Preparedness Commission, and the cruise industry safety investigation committee. He has supervised numerous bachelor's, master's, and PhD students in organization and management subjects related to security and crisis management. His teaching portfolio includes fisheries economics, vessel operations, financial management, and crisis management. Professor Borch's laboratory work centers on the NORDLAB emergency management facility, which conducts advanced simulation training for Arctic emergency response professionals.
Chadi Jabbour is a Professor at Institut Polytechnique de Paris , specializing in analog/digital converter design, communication system linearization, and flexible receiver architectures. He leads the Communication Circuits and Systems (C2S) team at the Information Processing and Communication Laboratory (LTCI) in the Communications and Electronics (Comelec) department.
Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.
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 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.
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.
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 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 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 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 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 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.
