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Sogol KharraziView profile

Adjunct Associate Professor

• Intelligent Transportation Systems
• Vehicle Control
• Diagnosis Systems
• +3 more

Sogol Kharrazi serves as an Adjunct Associate Professor in the Department of Electrical Engineering at Linköping University, actively contributing to the Vehicular Systems research group focused on vehicle control, diagnosis, and functional supervision through industrial collaborations. Her research centers on intelligent transportation systems with emphasis on naturalistic driving data analysis for heavy vehicle performance assessment. Key specialties include driving behavior modeling across driver categories, mission-based driving cycle generation, and safety evaluation of long combination vehicles in complex scenarios like roundabouts and lane changes. Her work bridges theoretical vehicle dynamics with real-world traffic applications. Recent publications (2019-2024) reveal a cohesive research trajectory applying naturalistic data to vehicle performance challenges, particularly in heavy transport contexts. Dominant themes include lane change extraction algorithms, A-double truck dynamics in roundabouts, and driver-category-specific cycle generation – all addressing critical gaps in commercial vehicle safety and efficiency. No scientific awards were documented in the source materials. Information regarding student advising and research grants remains unspecified in available records. She operates within Linköping University's Vehicular Systems group alongside faculty members including Professor Erik Frisk (Deputy Head of Department) and Professor Emeritus Lars Nielsen, collaborating with a multidisciplinary team of PhD students, postdocs, and research engineers on vehicle control and diagnostic systems.

• Automated Driving
• Human Factors
• Ergonomics
• +2 more

Johannes Potzy is a researcher at the Chair of Ergonomics, Technical University of Munich (TUM), specializing in human factors within automated driving systems and haptic interface design. His work bridges engineering and human-centered design to optimize safety and efficiency in human-vehicle interactions. His primary research spans automated driving, human factors, ergonomics, robotics, and haptic interfaces. He investigates driver behavior during automated merging in dense traffic, develops communication strategies between autonomous vehicles and human drivers, and explores octopod kinematics for advanced haptic feedback systems. This interdisciplinary approach addresses critical challenges in transportation psychology and human-machine collaboration. Recent publications reveal a strong focus on human-centered automation in traffic scenarios, particularly trajectory planning and merging behaviors. His work integrates transportation engineering with cognitive psychology, emphasizing real-world applicability in highway systems. Earlier research extends to robotics, where octopod-based haptic interfaces demonstrate applications in healthcare and human-computer interaction. Potzy conducts research within TUM's specialized laboratories including the Dynamical Mock-Up, Modular Ergonomic Mockup, Robotics lab, and Static Driving Simulator. These facilities enable experimental validation of ergonomics principles in cabin design, automated driving, and human-robot interaction scenarios, supporting both academic research and industry collaboration.

Rorie Beswick-ParsonsView profile

Research Fellow

• Sustainability
• Consumer Practices
• Packaging Systems
• +3 more

Dr. Rorie Beswick-Parsons is a Leverhulme Early Career Fellow at the School of Geography and Planning, University of Sheffield, where his research centers on sustainability and social change through the lens of packaging systems and consumer practices. His academic journey includes: BA (Hons) in Geography from the University of Hull ESRC funded Masters in Planning and Environment Research PhD from Newcastle University’s School of Architecture, Planning and Landscape (2013-2018) Rorie investigates how consumer practices adapt to alternative packaging systems and how business practices, technologies, and markets interact in packaging-related change processes. His methodological approach uniquely combines ethnography, archival analysis, and secondary data research across historical and contemporary contexts, revealing critical insights into sustainable consumption patterns and systemic resistance to change. His publication record (2016-2025) demonstrates consistent interdisciplinary focus on plastic waste reduction, reusable packaging systems, and socio-technical dynamics, bridging environmental science, behavioral studies, and policy analysis. The work increasingly integrates simulation modeling and cross-national comparisons to address real-world sustainability challenges. Scientific recognition includes: Leverhulme Early Career Fellowship Rorie has secured significant research funding through major projects including Plastics: Redefining single-use (EPSRC), Many Happy Returns (NERC), and Horizon Europe initiatives, developing evidence-based frameworks for sustainable packaging reuse. His collaborative work spans environmental science, behavioral psychology, and industrial design to create implementable solutions. He actively contributes to the University of Sheffield's research ecosystem through the School of Geography and Planning, leading investigations into systemic solutions for plastic packaging reuse in mass-market applications while mentoring emerging researchers in sustainability science.

Stephanie MoserView profile

Research Fellow

• Education Research
• Digital Media in Learning
• Informal Learning Environments
• +3 more

Dr. Stephanie Moser is a Research Fellow at the Chair of Formal and Informal Learning, Technical University of Munich (TUM). Her role includes research in digital education, informal learning environments, and didactic design across formal/informal contexts. Current Position: Research Fellow ( Department of Formal and Informal Learning , TUM School of Social Sciences and Technology) Key Projects: DigiChalPro@ViFoNet, BILAD, TUMjunior, EXBOX-Digital Her research focuses on digital media in education , self-regulated learning , student motivation , and higher education didactics . She examines how digital tools and informal settings enhance learning outcomes, particularly in STEM and AR-based environments. Recent publications analyze energy literacy in museum exhibitions , AR authenticity in classrooms , digital scaffolding in chemistry , and cross-cultural global competence . Her work emphasizes cognitive support, metacognitive strategies, and technology integration across educational contexts. Dr. Moser collaborates with institutions on projects like DigiChalPro@ViFoNet and EXBOX-Digital , balancing empirical studies with practical implementations. Her methodological approach combines eye-tracking , literature reviews , and large-scale data analysis (e.g., PISA studies).

• Transportation Engineering
• Urban Planning
• Traffic Behavior Analysis
• +3 more

Dr. Mervegül Uysal is a research faculty member at Muğla Sıtkı Koçman University , specifically affiliated with the Faculty of Engineering and Department of Civil Engineering . Her academic position is categorized under Transportation Engineering , where she contributes to both teaching and research in transportation systems. Education: Bachelor's Degree in Civil Engineering from Süleyman Demirel University (2011) Master's Degree in Transportation Engineering from Süleyman Demirel University (2014) Doctorate in Civil Engineering/Transportation from Ege University (2022) Research Interests focus on transportation behavior, road safety, and urban mobility solutions. Her work examines driver decision-making, pedestrian crossing patterns, and transportation network modeling. Recent projects include surrogate model applications in network design and autonomous vehicle perception studies. Academic Contributions include publications in Springer Science , Technical Journal , and Pamukkale University Journal of Engineering Sciences . She has presented at international conferences like Road Safety and Simulation International Conference (RSS2017) and International Congress on Advances in Civil Engineering . Her teaching responsibilities include Surveying (CE 3510) and Traffic Engineering (CE 3507) .

• Accounting
• Wellbeing
• Financial Technologies
• +4 more

Prof. Dr. Burcu Aslantaş Ateş is a Professor at the Faculty of Economics and Administrative Sciences , Süleyman Demirel University , specializing in Banking and Finance . Her academic career spans over 15 years, focusing on Accounting and Wellbeing in economic contexts. Education: Licentiate in Business Administration (Anadolu University, 2000), Master's in Business Administration (Eskişehir Osmangazi University, 2003), Doctorate in Business Administration (Süleyman Demirel University, 2011) Her research explores intersections of financial technologies , behavioral accounting , and sustainability , particularly through the lens of UN Sustainable Development Goals. She has contributed to studies on cryptocurrency markets , healthcare cost analysis , and corporate social responsibility . Recent publications highlight trends in digital transformation (2020-2022), behavioral finance (2022), and wellbeing in higher education (2023). She actively participates in the TÜBİTAK 1001 project (2021-present) on digital transformation simulations. Notable collaborations include works with Elif Bengü (sustainability education), Mehmet Çelik (NLP in accounting), and Aygen Oksay (digital transformation projects). Her teaching includes courses on Sustainable Development Goal 3: Wellbeing .

• Infectious Disease Ecology
• Mathematical Epidemiology
• Antimicrobial Resistance
• +4 more

Professor Louise Matthews is a distinguished academic in Infectious Disease Ecology at the University of Glasgow's Institute of Biodiversity, Animal Health and Comparative Medicine (IBAHCM) within the College of Medical, Veterinary and Life Sciences. Based in the Wolfson Link Building in Glasgow, she has established herself as a leading researcher applying quantitative approaches to infectious disease data. Her work spans multiple continents with significant collaborative projects in Tanzania and other East African countries, focusing on the intersection of human, animal, and environmental health. Professor Matthews' research interests center on applying mathematical and statistical tools to understand host-pathogen systems and inform disease control strategies. Her work investigates individual variability in disease transmission (including superspreading phenomena), aggregation patterns in host-parasite systems, diversity metrics in epidemiological contexts, genetic susceptibility to infections, and game theory applications to disease control planning. Current projects address E. coli O157 transmission in cattle, sea-lice resistance in salmon, antimicrobial resistance dynamics, and Rift Valley fever epidemiology. Analysis of her recent publications (2020-2025) reveals a strong emphasis on antimicrobial resistance in low-resource settings, particularly in East Africa. Her work examines transmission dynamics of resistant pathogens across human, animal, and environmental interfaces, with significant contributions to understanding neonatal infections, antibiotic misuse patterns, and the social determinants of antimicrobial resistance. She has also made important contributions to viral epidemiology (particularly Rift Valley fever), data visualization for public health decision-making, and the development of quantitative methods for infectious disease modeling. Professor Matthews maintains an active research program with numerous international collaborations, particularly with institutions in Tanzania. Her work demonstrates a commitment to translating quantitative epidemiological research into practical disease control strategies, with particular attention to resource-limited settings where infectious disease burdens are highest. She has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed in the available materials. Her research group operates at the intersection of mathematical modeling, field epidemiology, and molecular biology, employing a truly interdisciplinary approach to tackle complex infectious disease challenges. Current projects involve close collaboration with clinicians, veterinarians, microbiologists, and social scientists to address antimicrobial resistance from multiple angles.

• Cognitive Science
• Human-Computer Interaction
• Robotics
• +4 more

Paul Hemeren is an Associate Professor of Informatics at the University of Skövde , specializing in biological motion perception and human-robot interaction. His research spans cognitive science, artificial intelligence, and transportation safety, with emphasis on understanding how humans perceive actions and intentions in dynamic environments. Academic Background : Ph.D. in Cognitive Science (Lund University, 2008), B.A. from Hope College (USA) Current Research : Focuses on action representation, driver-cyclist interaction modeling, and multimodal perception systems Applied Projects : Developing intelligent driver support systems (I2Connect) and predictive collision detection models Methodologies : Combines experimental psychology with machine learning and computational modeling Recent publications examine kinematic primitives in action similarity judgments, attentional synchrony in films, and data-driven collision prediction models. His work bridges theoretical cognitive science with practical implementations for traffic safety and robotic systems, particularly through collaborations with Swedish research foundations and European robotics initiatives. Professional affiliations include membership in the Cognitive Science Society and European Network for Artificial Cognitive Systems. Research has been funded by Swedish insurance research funds and EU Horizon programs.

Wolfgang BirkView profile

Professor

• Automatic Control
• Multivariable Control Systems
• Control Structure Selection
• +7 more

Wolfgang Birk is a Professor of Automatic Control at Luleå University of Technology (LTU), affiliated with the Division of Signals and Systems within the Department of Computer Science, Electrical and Space Engineering. Currently, he is on leave of absence to support his spin-off company Predge in an intense growth phase, while maintaining his academic affiliation with LTU. Professor Birk received his MSc in Electrical Engineering from Universität des Saarlandes in Germany in 1997, followed by PhD studies at Luleå University of Technology where he earned his PhD in Automatic Control in 2002. His academic journey includes professional experience at Volvo Car Corporation (2002-2006) before returning to LTU in 2006. He was promoted to Associate Professor in 2012 and to Full Professor in 2015. From 2013-2016, he served as Director of Third Cycle Studies, and from 2017-2019, he was a member of the LTU board. Professor Birk's research focuses on the boundary between control theory and practical industrial applications. His primary research interests include structural properties of multivariable and complex systems, control structure selection and interaction in multivariable systems, multivariable and decentralized control, estimation and prediction of system behavior (particularly for condition monitoring and maintenance), and modeling and simulation of complex dynamic systems. His work spans several application domains including process control in industries, transport systems (particularly railway), and energy systems (renewables, district heating and cooling, data centers, and buildings). His recent publications reveal a strong trend toward practical applications of control theory in industrial settings, with particular emphasis on Zero Defect Manufacturing, district energy networks, predictive maintenance, and digital twin technologies. His work demonstrates a consistent focus on bridging theoretical control concepts with real-world implementation challenges across multiple industries. Professor Birk has received notable recognition for his work: Henry Ford Technology Award for the development of Volvo Cars Driver Alert (2007) The Donald Julius Groen Prize 2007 for the journal article "A Driver-Distraction-Based Lane Keeping Assistance System" As an academic supervisor, Professor Birk has guided numerous doctoral students to completion, including Miguel Castaño (2012), Ulf Andersson (2013), Roland Hostettler (2014), Dennis Kleyko (2018), Ali Khadim (2018), and Johan Simonsson (2024). He has also supervised postdoctoral fellows including Maryam Razi, Martin Haller, Roland Hostettler, Miguel Castaño, and Khalid Atta. His research has been supported by various funding sources including H2020 Framework Program, ERA-Net SES, VINNOVA, and the Swedish Energy Agency, with projects focusing on areas such as AI-augmented cooling systems, flexible energy system integration, and efficient wood drying. Professor Birk is actively involved in both academic and commercial applications of control theory, having co-founded SafeCont AB during his PhD studies and later starting SafeMobility (now Sentient+) in 2009. His current focus on Predge represents the continued translation of academic research into practical industrial solutions.

Xiaorong LiView profile

Researcher

• Microplastics
• Water Quality
• Virology
• +3 more

Dr. Xiaorong Li serves as a Research Officer at Bangor University's School of Ocean Sciences, where she conducts critical environmental research focused on aquatic pollution and coastal dynamics. Her work bridges laboratory experimentation with advanced computational modeling to address pressing marine environmental challenges. Her research portfolio emphasizes: Microplastics behavior in freshwater and marine systems Pathogen survival mechanisms in aquatic environments Climate change impacts on coastal processes Computational fluid dynamics applications Sediment transport and morphological change Analysis of her 15 most recent publications reveals a concentrated evolution toward microplastics research and water quality virology since 2023, while maintaining foundational work in coastal hydrodynamics. Her methodology consistently integrates experimental microcosm studies with sophisticated numerical modeling techniques like lattice Boltzmann simulations, demonstrating interdisciplinary innovation across environmental science and engineering disciplines. Scientific Awards: No formal awards or fellowships were documented in the available institutional records. Advising and Grants: Publicly accessible information does not indicate graduate student supervision or principal investigator roles for research grants, though her collaborative publications suggest active participation in funded research projects through Bangor University's marine science initiatives. Labs and Teams: Dr. Li operates within Bangor's School of Ocean Sciences research ecosystem, contributing to environmental fluid dynamics and pollution research groups. Her work connects with the university's broader coastal processes research cluster focused on climate change impacts and marine renewable energy environmental assessments.

• Marine Technology
• Arctic Engineering
• Risk Management
• +3 more

Liangliang Lu is a Postdoctoral Researcher at the Department of Energy and Mechanical Engineering , Aalto University. Their research focuses on Marine and Arctic Technology , with significant contributions to understanding ice mechanics, ship performance in polar conditions, and maritime risk assessment. Specializes in Arctic and Antarctic navigation Develops Bayesian networks for oil spill risk modeling Engages in collaborative polar research projects Research interests span ice-induced ship hull loads , winter navigation systems , and oil spill response effectiveness . Their work combines computational modeling , field measurements , and data analytics to improve maritime safety in extreme environments. Recent publications emphasize CFD/FSI/AI integration , real-time conflict probability ranking , and flexural strength analysis of freshwater ice. Collaborations with experts in naval architecture and polar logistics appear frequently. Active in polar research groups, Lu contributes to developing decision-support tools for ice-covered operations and participates in international conferences like POAC and IAHR Symposiums.

• Transportation Engineering
• Traffic Safety Analysis
• Autonomous Vehicles
• +2 more

Mohammad Khashayarfard is a researcher at Universitat Politècnica de Catalunya (UPC), affiliated with the BIT - Barcelona Innovative Transportation research group and the Department of Civil and Environmental Engineering. His work focuses on transportation engineering with particular emphasis on traffic safety analysis and microscopic modeling.

Difei DengView profile

Lecturer

• Extreme weather events
• Climate modeling
• Numerical modeling
• +2 more

Dr. Difei Deng is a Lecturer and ARC DECRA Fellow at the School of Science, UNSW Canberra , where they have been since 2016. Their research focuses on extreme weather events , particularly tropical cyclones , with expertise in numerical modeling and atmospheric meso-scale dynamics . They are an Associate Investigator at the ARC Centre of Excellence for Climate Extremes and affiliated with the Bushfire Research Group at UNSW Canberra. Research areas: Tropical cyclones, extreme rainfall, climate modeling, atmosphere-fire interactions Grants: ARC DECRA (2020-2023), UNSW Faculty Matching Funds (2020-2023) Awards: AMOS Penny Whetton Lecture Award (2024), UNSW High Quality Research Paper Award (2018-2020) Research Trends: Recent work spans deep-learning architectures for tropical cyclone track forecasting , climate change impacts on cyclogenesis shifts , and rainfall enhancement mechanisms during landfalling cyclones. They apply numerical models to study storm-vortex interactions , moisture transport , and environmental feedback in extreme weather systems. Scientific Awards: High Quality Research Paper Award (UNSW, 2018-2020) ARC DECRA Fellowship (2020-2023) AMOS Penny Whetton Lecture Award (2024) Supervision & Grants: Dr. Deng supervises four students ( Lu, Akter, Le, Huang ) on projects involving extreme rainfall associated with tropical cyclones . They offer $35,000/year PhD scholarships for high-achieving candidates. Grants include funding from the Australian Renewable Energy Agency (ARENA) and Cooperative Research Centres (CRC) projects .

Alex WolkowView profile

Research Fellow

• Occupational Health
• Sleep Medicine
• Shift Work Disorder
• +4 more

Alex Wolkow is an NHMRC Peter Doherty Research Fellow at Monash University specializing in sleep, stress, and health outcomes within high-risk occupational populations including paramedics, firefighters, police officers, and heavy vehicle drivers. His work examines how shift work, fatigue, and sleep disorders impact mental and physical health in emergency service contexts. His research focuses on identifying protective factors that buffer health risks in shift work disorder, with particular emphasis on cognitive-behavioral mechanisms, sleep adaptation strategies, and resilience factors. Key areas include fatigue monitoring technologies, trauma exposure sequencing in emergency workers, and the physiological stress responses to occupational hazards like sleep restriction during firefighting operations. Analysis of his 2023-2025 publications reveals a concentrated focus on emergency service personnel, especially paramedics, with recurring themes of longitudinal health trajectories, intervention development, and policy-relevant findings for fatigue risk management systems. His work consistently bridges clinical sleep science with real-world occupational settings. Scientific awards: NHMRC Peter Doherty Research Fellowship As an early-career research fellow, Wolkow leads independent NHMRC-funded projects involving collaborations with emergency service agencies and health organizations. His work likely includes mentoring junior researchers through data collection in high-stakes occupational environments, though specific advising details aren't publicly documented. Current grants center on shift work disorder mechanisms and fatigue countermeasure validation. His research operates at the intersection of Monash University's health faculties and operational emergency services, utilizing simulated work environments and longitudinal field studies to generate evidence for policy changes in Australasian ambulance and transport sectors.

• Mechanical Engineering
• Materials Science
• Finite Element Analysis
• +4 more

Minghua Cao is a doctoral researcher at the Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University. Her current research focuses on thermomechanical behavior and damage analysis in advanced materials such as compacted graphite iron (CGI) and metal matrix composites. Department: Mechanical and Manufacturing Engineering Research Role: MSc Doctoral Researcher Office Location: TW.2.19, Wolfson Building Education: BEng in Transportation (Automotive Application Engineering), China (2020) MSc in Mechanical Engineering, Loughborough University (2021) Research Interests: Minghua's work bridges mechanical engineering and materials science, with emphasis on finite element analysis, high-temperature deformation, and damage mechanics in automotive and industrial materials. Her recent publications examine graphite morphology effects on CGI performance and interfacial damage in composites. Publication Trends: Her research spans computational modeling of thermomechanical behavior (2022-2025), extending to biomedical composites and early automotive safety studies. Laboratory Affiliation: Minghua conducts research within the Wolfson School of Mechanical and Manufacturing Engineering, leveraging advanced numerical simulation techniques.