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Petr DenissenkoView profile

Associate Professor

• Experimental Fluid Dynamics
• Interfacial Phenomena
• Emulsions
• +7 more

Petr Denissenko is an Associate Professor at the School of Engineering, University of Warwick. He holds a PhD in applied mathematics from the University of Hull (2004), an MPhil in Plasma Physics from Novosibirsk State University (1996), and a BSc in Physics from the same institution (1994). His research focuses on Experimental Fluid Dynamics, including interfacial phenomena, emulsions, surface waves, energy spectra, and biological flows. He has extensive experience in fluid dynamics experimentation, spanning over 25 years across institutions like the University of Hull and HKUST. Education: BSc Physics, Novosibirsk State University (1994) MPhil Plasma Physics, Novosibirsk State University (1996) PhD Applied Mathematics, University of Hull (2004) Research Interests: Denissenko’s work explores complex fluid systems, including: - Interfacial phenomena : Studying bubble dynamics, emulsion formation, and surface wave interactions. - Biological flows : Investigating sperm motility and microorganism navigation in confined spaces. - Rotating flows : Analyzing turbulence in rotating fluids and vortex dynamics. - Energy applications : Optimizing heat transfer in microchannel systems and microwave-assisted combustion. Grants & Projects: "Experimental investigation of unsteady flow around a biomimetic wind energy harvester" (Royal Society, 2020–2022) "Microfluidics tools for sperm selection and diagnostics" (Wellcome Trust, 2018–2020) "FREECATS" (European Commission, 2012–2015) Publications: Over 50 peer-reviewed articles in journals like Physical Review Fluids , Scientific Reports , and Journal of Fluid Mechanics , emphasizing experimental and computational fluid dynamics. Labs & Facilities: Active in Warwick’s fluid dynamics laboratory, specializing in high-speed imaging, particle tracking, and multiphase flow experiments. Collaborates with industrial partners on energy and biomedical applications.

• Power sector regulation
• Universal energy access
• Regional electricity markets
• +3 more

Ignacio Pérez Arriaga is a Professor at the Massachusetts Institute of Technology's Sloan School of Management and maintains strong affiliations with Comillas Pontifical University in Madrid, his alma mater where he graduated as an engineer in 1970. With over 50 years of experience in energy systems, he has advised governments and companies in more than 40 countries on electricity regulation and universal energy access. His work bridges academic research with practical implementation, focusing on creating viable frameworks for bringing electricity to underserved populations worldwide. Pérez Arriaga's research centers on power sector regulation, universal energy access, regional electricity markets, and off-grid electrification. He pioneered the development of the Reference Electrification Model (REM), a computational tool that creates detailed electrification plans for developing countries by analyzing technical, economic, and geographical factors. This work led to the creation of Waya Energy, a spin-off company implementing national electrification plans in 22 countries across Latin America, Africa, and Asia. He also co-founded the African School of Regulation (ASR) to improve energy policy across the continent, currently serving as its interim president. His publications reveal a consistent focus on integrated approaches to universal energy access, with recent work emphasizing the Integrated Distribution Framework (IDF) that combines on-grid and off-grid solutions under viable business models. His research spans from high-level policy frameworks to detailed technical implementation, with particular attention to the economic and regulatory mechanisms needed to attract private investment for universal energy access. He recognizes that over 600 million people in sub-Saharan Africa lack electricity, viewing this not just as a technical challenge but as a moral imperative that requires innovative business models and regulatory frameworks. Life Member of the Spanish Royal Academy of Engineering Co-founder of the African School of Regulation (ASR) Principal Investigator for the Global Commission to End Energy Poverty Co-founder of Waya Energy, implementing electrification plans in 22 countries Creator of the Reference Electrification Model (REM) Pérez Arriaga has mentored numerous researchers and PhD students who now work in energy sectors worldwide. His approach emphasizes practical implementation over theoretical work, focusing on creating actionable frameworks that can be implemented immediately. He currently splits his time between MIT, Comillas University, and field work across Africa, Asia, and Latin America, maintaining an active travel schedule despite being 76 years old. His work with the MIT Energy Initiative and the Rockefeller Foundation demonstrates his commitment to bridging academic research with real-world impact.

• Clinical Exercise Science
• Long COVID
• Chronic Disease Management
• +6 more

Ruth Ashton is an Associate Professor in Clinical Exercise Science at Coventry University. She specializes in clinical investigations focused on cardiovascular conditions, cancer rehabilitation, and post-COVID-19 (Long COVID) syndrome, with an emphasis on improving quality of life and clinical outcomes. PGCert in Higher Education, University of Derby (2022) PhD in Clinical Exercise Physiology, Northumbria University (2019) MRes in Applied Science, University of Chester (2015) BSc (Hons) in Sport and Exercise Science, University of Chester (2014) Her research integrates clinical exercise physiology with chronic disease management, particularly addressing the physiological mechanisms of Long COVID, post-exertional malaise, and health inequalities in physical activity. She employs multidisciplinary approaches, including biomarker analysis and cardiorespiratory fitness assessments, to inform clinical interventions. Recent publications highlight trends in Long COVID pathophysiology, cardiovascular complications post-COVID-19, and the role of exercise testing in clinical populations. Key themes include biomarker interpretation, non-communicable disease prevention, and systemic health impacts of the pandemic. As an accredited RCCP Clinical Exercise Physiologist, she contributes to UN Sustainable Development Goals related to health and education. Her work spans collaborations across global institutions and has received grants from The Urology Foundation, BIO REME, and GILEAD Sciences.

Olivier HaasView profile

Associate Professor

• Control Systems Engineering
• Autonomous Vehicles
• Visible Light Communication
• +5 more

Olivier Haas is an Associate Professor and Reader in Applied Control Systems at Coventry University's Centre for Future Transport and Cities. He leads the Intelligent Transportation Systems and 5G Team, focusing on multidisciplinary research spanning vehicle control systems, visible light communication, and medical applications of control engineering. Key affiliations: Coventry University, Centre for Future Transport and Cities Specializations: Autonomous vehicle systems, digital twin technology, radiotherapy control systems Research Interests: His work combines systems modeling, optimization, and AI with applications in: Autonomous vehicle testing and safety validation Deep learning for automated environment recognition Digital twin simulations for transportation infrastructure Visible light positioning for vehicular systems Medical applications including tumor tracking in radiotherapy Article Trends: Recent publications demonstrate expertise in vehicular communication systems (particularly visible light technology), optimization techniques for transportation systems, and machine learning applications in both automotive and IoT domains. His work consistently bridges control theory with practical implementations across multiple sectors. Scientific Awards: 2022 Energy Innovation Awards - Best Collaborative Initiative (for dynamic EV charging research) Elekta KTP Project 1st Prize (medical systems control) Professional Contributions: Dr. Haas has supervised 27 PhD students and contributed to major projects including UK CITE, iVMS, and EU FP6 MAESTRO. His industry collaborations span Jaguar Land Rover, Microcab, FEV, and Horiba-MIRA, with applications in powertrain optimization, fuel cell management, and hazardous material response routing. Labs & Teams: He leads the Intelligent Transportation Systems and 5G Team at Coventry University's Centre for Future Transport and Cities, maintaining close ties with international institutions like DLR and VERO prototype systems.

• Psycholinguistics
• Computational Linguistics
• Eye-tracking
• +4 more

Dr. Matthew Green is a Lecturer in the Department of Psychology at Bournemouth University, with a focus on integrating computational linguistics and psycholinguistics through empirical studies. His work bridges cognitive science, eye-tracking technology, and agent-based modeling to analyze human cognitive strategies in areas such as sentence processing and visual foraging behavior. Education Cognitive Science, University of Exeter Masters in Psychological Research Methods, University of Exeter PhD in Psycholinguistics, University of Exeter Green's research primarily investigates parser load during sentence processing using well-specified models like surprisal and entropy reduction, testing these against human processing difficulty via eye-tracking. Additionally, he develops methodologies to evaluate hypotheses about foraging behavior through eye-tracking and agent-based modeling, aiming to uncover cognitive strategies in both linguistic and visual search tasks. His publication trends span psycholinguistics, natural language processing, vagueness in referential communication, and computational modeling of human cognition. His work often employs eye-tracking as a key empirical tool, with subfields encompassing syntactic ambiguity resolution, lexical semantics, and audience-adaptive information presentation.

• Pedagogical Models in Physical Education
• Formative Assessment
• Cooperative Learning
• +4 more

Ángel Luis Pérez Pueyo is a Professor in the Department of Physical Education and Sports at the University of Burgos, Spain. With academic activity spanning since 1967, he is a leading researcher in pedagogical models and formative assessment in Physical Education, collaborating extensively with scholars like David Hortigüela Alcalá and Óscar M. Casado-Berrocal. His work focuses on innovative teaching methodologies including the Attitudinal Style, cooperative learning, and competency-based curriculum design under Spain's LOMLOE educational framework. His research interests center on Pedagogical Models in Physical Education , Formative Assessment , and Cooperative Learning , with recent emphasis on equity in physical education through critical pedagogy. He investigates how the Attitudinal Style impacts student motivation, self-regulation in strength training, and the integration of technology like JumpO2 applications. His publications consistently address curriculum development, particularly in Spain's evolving educational landscape. Pérez Pueyo's scientific contributions show a clear trend toward practical applications of pedagogical theory, especially in secondary education. His 2023–2025 works demonstrate growing focus on digital tools (MIDE system, JumpO2), interdisciplinary projects, and social justice in physical education. The Attitudinal Style remains a cornerstone of his research, now increasingly hybridized with other models to address contemporary educational challenges. His collaborative work includes major publications like "Los modelos pedagógicos en educación física: qué, cómo, por qué y para qué" (2021), which has become a seminal reference in Spanish-speaking Physical Education academia. He actively participates in national projects addressing LOMLOE curriculum implementation and teacher training reforms. Pérez Pueyo leads research on formative assessment systems and cooperative learning structures, with recent work analyzing bibliographies of Spanish Physical Education degrees (2016) and developing tools for triadic evaluation in group activities. His projects often involve cross-institutional teams and emphasize practical classroom applications over purely theoretical frameworks.

Sk Khairul HasanView profile

Assistant Professor

• Robotics
• Mechatronics
• Nonlinear Control
• +5 more

Sk Khairul Hasan is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Miami University. His research focuses on robotics, mechatronics, nonlinear control, and data-driven modeling, with particular emphasis on exoskeleton systems for human rehabilitation. He teaches undergraduate and graduate courses in electrical and mechanical engineering, emphasizing foundational knowledge transfer. Dr. Hasan holds a Ph.D. in Mechanical Engineering from the University of Wisconsin-Milwaukee (2021), an M.S. in Mechatronics Engineering from International Islamic University Malaysia (2010), and a B.Sc. in Mechanical Engineering from Khulna University of Engineering and Technology (2008). His research interests include exoskeleton robot design, mechatronics systems, mobile robotics, and industrial IoT. Notable projects include an 8-DOF lower extremity exoskeleton for rehabilitation, fuzzy logic controllers for hybrid vehicles, and a 3-DOF programmable manipulator arm. Recent publications highlight advancements in exoskeleton control systems, including radial basis function controllers and sliding mode control algorithms. His work bridges theoretical control strategies with practical robotic applications in healthcare and industry. Recipient of the UWM Chancellor Award for Outstanding Research (2021) Member of IEEE Robotics and Automation Society, SAE, and Institute of Engineers Bangladesh Labs/Teams: Biomechatronics System Design Laboratory.

• Modern Methods of Construction
• Modular Construction
• Structural Steel Engineering
• +9 more

Associate Professor Daniel McCrum is a faculty member at the School of Civil Engineering, University College Dublin (UCD). He holds a PhD from Trinity College Dublin and has held academic positions at Queen's University Belfast and UCD. His research focuses on modern methods of construction, structural steel, resilience of infrastructure, and cyber-physical threats. He leads the Modern Methods of Construction Research Group (MMCRG) and is involved in projects like Construct Innovate and the Horizon 2020-funded PRECINCT initiative. Education: BEng (1st class) from Trinity College Dublin (2005), MSc in Structural Engineering (2006, University of Glasgow), PhD in Civil Engineering (Trinity College Dublin, 2008). Research interests include modular construction, cold-formed steel design, bridge aerodynamics, and critical infrastructure resilience. He has supervised over 15 postgraduate researchers and led numerous funded projects including EU-funded research on construction standards and predictive modeling tools. Awards include the 2022 Teaching Excellence Award and the 2016 Fulbright Scholarship. Professional roles include Programme Director for Civil Engineering programs at UCD, Head of Teaching and Learning (2019–2020), and member of Construct Innovate's Centre Executive Management Committee. He is a Chartered Structural Engineer with the Institution of Structural Engineers and an active peer reviewer for journals like Engineering Structures and Structure and Infrastructure Engineering. Key contributions include advancing CFS structural analysis, developing robustness frameworks for cyber-physical infrastructure, and aerodynamic studies on long-span bridges like the Queensferry Crossing. His work integrates computational methods with experimental testing to address challenges in construction safety and disaster resilience.

• Genomic Epidemiology
• Pathogen Genomics
• Neglected Tropical Diseases
• +5 more

Joseph R. Fauver, PhD, is an Assistant Professor in the Department of Epidemiology at the University of Nebraska Medical Center (UNMC) College of Public Health. He joined UNMC in 2021 after postdoctoral research roles at Yale University School of Public Health and Washington University in St. Louis. PhD in Microbiology (2017), Colorado State University B.S. in Natural Sciences (2013), Peru State College Dr. Fauver specializes in genomic epidemiology, pathogen genomics, and vector-borne diseases, with a focus on SARS-CoV-2 dynamics, neglected tropical diseases, and mosquito-borne viruses like Zika and Dengue. His work integrates genomic sequencing with public health strategies. His research includes analyzing viral kinetics in vaccinated and unvaccinated individuals, developing diagnostic protocols (e.g., saliva-based SARS-CoV-2 sequencing), and studying the spread of variants through genomic surveillance. He has contributed to understanding the Omicron variant's emergence and immune evasion. Dr. Fauver has collaborated with teams at Yale, Washington University, and the Commonwealth of the Northern Mariana Islands on pandemic response and surveillance projects. His work has been published in high-impact journals and preprint servers like medRxiv.

Traian TULBUREView profile

Lecturer

• Very Large Scale Integrated Circuits
• Digital Electronics
• Microelectronics
• +4 more

Traian TULBURE is a Lecturer at the Department of Electronics and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on Very Large Scale Integrated Circuits, Digital Electronics, and reconfigurable architectures for structured ASIC technology. He has contributed to significant projects including the ATLAS experiment at CERN, particularly in developing readout controllers for muon spectrometers. Key research interests include optimizing testability in dynamic reconfigurable CPLD architectures and advancing structured ASIC applications. His work bridges microelectronics innovation with high-energy physics instrumentation, demonstrated through collaborations on particle detector systems. Publications emphasize both theoretical advancements (e.g., dynamic reconfiguration methodologies) and applied contributions to large-scale physics experiments. No scientific awards are explicitly mentioned, though his involvement in international collaborations like ATLAS highlights his professional standing. Advising activities and grant details are not detailed in the provided text. He has contributed to detector hardware development for the ATLAS New Small Wheel upgrade, reflecting his role in experimental physics instrumentation.

• Gynecological Oncology
• Gestational Trophoblastic Diseases
• Cervical Cancer
• +4 more

Pierre-Adrien Bolze is a Professor of Obstetrics and Gynecology at Claude Bernard University Lyon 1, specializing in gynecological oncology with particular expertise in gestational trophoblastic diseases (GTD). He serves as Research Director for the French Reference Center for Gestational Trophoblastic Diseases and is an active member of the FRANCOGYN multicenter research consortium. His research focuses on: Biomarker discovery for GTD treatment response prediction Surgical technique optimization (cervical/vulvar cancer margins, robotic hysterectomy) Biobanking infrastructure development for rare gynecological malignancies Immunotherapy applications in trophoblastic neoplasia Recent publications (2023-2025) demonstrate strong output in surgical standardization protocols and multicenter outcome studies, with significant contributions to vulvar carcinoma margin analysis and ovarian cancer cytoreduction sequencing. His work consistently appears in leading gynecological oncology journals. Dr. Bolze actively supervises graduate students and serves as Thesis Director at Lyon 1, with recent mentorship including Marie Margaillan's 2017 work on choriocarcinoma management. His clinical practice integrates research through the national GTD reference center, where he implements biomarker-driven treatment protocols.

• Virology
• Infectious Diseases
• Epidemiology
• +2 more

Eugene Bangwen is a researcher at the Institute of Tropical Medicine Antwerp (Belgium), affiliated with the Clinical Reference Laboratory . His work focuses on virology, infectious diseases, and epidemiology , particularly mpox (monkeypox) outbreaks in Central Africa. Key Research Areas: Mpox transmission dynamics, viral shedding, public health interventions, cholera epidemiology, and zoonotic diseases. Recent Publications: Investigated mpox clade Ib outbreaks in DRC, co-circulation of monkeypox and swinepox viruses, and cholera epidemiology in Cameroon. His studies span clinical cohorts, environmental monitoring, and behavioral analysis of mpox decline in Belgium. Collaborations: Active in multidisciplinary mpox research in Cameroon (2024) with teams including Liesenborghs, Vercauteren, and Van Dijck. Collaborates with institutions in DRC, Belgium, and international partners.

Victória MeloView profile

Research Fellow

• Digital Twin
• Digital Product Passport
• Smart Manufacturing
• +6 more

Victória Melo is a PhD student in computer engineering at the University of Salamanca, Spain, and a research fellow at the Research Centre in Digitization and Intelligent Robotics (CeDRI) at the Polytechnic Institute of Bragança (IPB), Portugal. Funded by the Foundation for Science and Technology (FCT, Portugal) under Grant 2022.13868.BD, she operates within IPB's School of Technology and Management with a focus on advanced manufacturing technologies and digital transformation in Industry 4.0 contexts. Her academic background includes: M.Eng. in Industrial Engineering (2020) from IPB's School of Technology and Management B.Eng. in Control and Automation Engineering (2020) from the Federal University of Technology - Paraná, Brazil Her research spans Digital Twin, Digital Product Passport, Smart Manufacturing, and Cyber-Physical Systems, with emphasis on Zero Defect Manufacturing, IoT integration, and Multi-Agent Systems. She investigates real-time monitoring, predictive maintenance, and sustainable production frameworks through artificial intelligence-driven approaches, addressing critical Industry 4.0 challenges in data interoperability and system resilience. Her publication record (19 articles, 2020-2025) reveals strong trends in automotive assembly line digitization, agricultural waste reduction, and manufacturing security. Key themes include ISO 23247/RAMI 4.0 standardization, intrusion detection in cyber-physical systems, and energy-efficient IoT implementations, demonstrating consistent innovation in bridging virtual and physical industrial domains. Scientific recognition includes: PhD Grant 2022.13868.BD from FCT Portugal As a doctoral researcher, she does not currently supervise students but collaborates with advisors including Paulo Leitão at CeDRI. Her FCT-funded work enables deep exploration of digital twin applications across manufacturing and agricultural sectors, with grants supporting cross-institutional partnerships between IPB and the University of Salamanca. She actively contributes to CeDRI's research ecosystem, focusing on digitization and intelligent robotics projects that advance smart manufacturing through cyber-physical system integration, multi-agent coordination, and real-time analytics for industrial optimization.

Daniel AltshulerView profile

Associate Professor

• Semantics
• Pragmatics
• Context Dependence
• +5 more

Daniel Altshuler is an Associate Professor of Semantics at the University of Oxford's Faculty of Linguistics, Philology and Phonetics, serving as Tutorial Fellow at Jesus College and Lecturer at Brasenose College. He holds a BA in Philosophy from UCLA and a PhD in Linguistics from Rutgers University. His research explores context dependence in semantics and pragmatics, investigating compositional semantics, discourse structure/coherence, and literary extensions of dynamic-semantic frameworks. Core interests include temporal interpretation, narrative discourse, pragmatic inference, and cross-modal communication. His publications demonstrate sustained focus on discourse coherence mechanisms, temporal semantics, and pragmatic interfaces across diverse linguistic phenomena. Recent work integrates literary analysis with formal semantics and extends into computational modeling of language processing.

Xiancheng LiView profile

Research Fellow

• Health Informatics
• Social Network Analysis
• Natural Language Processing
• +4 more

Xiancheng Li is a post-doctoral researcher at Queen Mary University of London's School of Business and Management, working with Professor Pietro Panzarasa and Dr. Anna de Simoni in the AD HOC program. This initiative develops online communities to help people with troublesome asthma manage their condition through social interactions. Previously, he completed his PhD at the Centre for Globalisation Research within the same institution, investigating academic collaborations and innovation through computational methods. His research centers on analyzing network patterns in online health communities and evaluating correlations between network structures and health outcomes. He applies natural language processing to track thematic evolution in user discussions, bridging health informatics, social network analysis, and machine learning. Key methodologies include deep learning for sentiment analysis and computational modeling of user engagement dynamics in respiratory disease communities. His publication record shows a dual research trajectory: health informatics applications in asthma and Parkinson's disease management, and methodological advances in network analysis for academic collaboration studies. Recent work demonstrates expertise in deep learning-based community analysis and the 'academic Great Gatsby curve' concept, consistently employing computational social science approaches across both domains. No scientific awards were documented in the source material. Li has served as Teaching Associate for Machine Learning and Digital Technology (2023-2025) and Social Network Analysis (2020). The available information does not reference research grants he has secured or students he has formally advised. He is an active member of the AD HOC program team, which develops digital interventions connecting asthma patients through structured online communities. This interdisciplinary project integrates computer science, health research, and clinical practice to create evidence-based social support systems for chronic disease management.