جست‌وجوی استاد و پژوهشگر

Jude Towersمشاهده پروفایل

مدرس ارشد

• Knowledge Creation and Exchange
• Data Conceptualization and Usage
• Measurement of Social Phenomena
• +۶ مورد دیگر

Dr Jude Towers serves as Associate Head of School for the School of Law & Criminal Justice at Edge Hill University, where she holds a Senior Lectureship position since 2022. Her academic career spans multiple institutions including Lancaster University (as Senior Research Associate and Lecturer in Sociology) and Liverpool John Moores University (as Senior Lecturer in Policing). She maintains active external roles as an External Examiner for the BSc Professional Policing degree at University College London and has served as Training and Learning Strand Lead for the N8 Policing Research Partnership (2015-2020) and Co-Investigator for the UKRI-funded Violence, Abuse and Mental Health Network (2019-2023). Her educational background includes a PhD in Economic Inequality and Intimate Partner Violence against Women from Lancaster University (2013), an MRes in An Evaluation of the Use of Statistical Evidence in the Production and Legitimation of Official Policy on Domestic Violence in the UK (2009), a BA in Global Politics (2008), and an Academic Practice PGCert from Liverpool John Moores University (2020). Towers specializes in knowledge creation and exchange between academia and public/third sector organizations, with particular expertise in the measurement of social phenomena related to Violence Against Women and Girls (VAWGs). Her research demonstrates a consistent focus on how data is conceptualized and used within criminal justice contexts, especially policing. She brings strategic leadership to her work, prioritizing evidence-informed decision-making while fostering collaborative environments for knowledge production. Her publication record reveals evolving research interests from foundational work on domestic violence measurement to current projects examining mental health diversion panels and administrative data collection in UK police forces. The trajectory shows increasing engagement with practical applications of research in policing and criminal justice settings, with recent work focusing on operational challenges in data collection and mental health interventions within law enforcement contexts. Excellence in Analysis Award (2020) Towers currently supervises four PhD students researching domestic violence prevention orders, police responses to coercive control, public order command preparedness, and big data in serious crimes investigations. She has successfully supervised two PhD completions. Her grant portfolio includes projects funded by the European Parliament, EU Anti-Trafficking Coordinators Office, and charities. Current projects include the Blue Light Professionals Fitness and Wellbeing Service (2025-) and the ARC: Applied Research Design Consultancy Enterprise and Innovation Lab (2024-2025). She contributes to the Applied Criminal Justice and Policing Research Centre and participates in knowledge exchange initiatives that bridge academic research with practical policing applications. Her leadership extends to professional development programs including the Aurora Women in Leadership (2024) and Edge Hill University Leadership (2024-25) programmes.

Sophie Chabridonمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Ambient Computing
• Mobile Computing
• +۷ مورد دیگر

Sophie Chabridon is an Associate Professor in the Department of Computer Science at Télécom SudParis, part of the Institut Télécom. She is a member of the SAMOVAR laboratory, specifically the ACMES research team, focusing on algorithms, components, models, and services for distributed computing. Education: PhD in Computer Science, Université René Descartes - Paris V (1996) MSc in Computer Science, University of Oklahoma (1992) Ingénieur in Computer Science, ISI-CUST, Clermont-Ferrand (1991) Research Interests: Context management in IoT Privacy-preserving technologies Middleware architectures for distributed systems Quality of context (QoC) and data coherence Mobile and ambient computing Key Projects: ANR INCOME (2012–2015): Multi-scale context management for IoT Cappucino (2007–2010): Ubiquitous applications and middleware JEMTU (2006–2008): Mobile games and usage technologies Advising & Grants: Supervised over 10 PhD and Master students, including recent theses on context quality and privacy in IoT. Involved in grants such as ANR and European ITEA programs. Lab Affiliation: SAMOVAR laboratory, focusing on networking, communications, and distributed systems research.

Nesrine KAANICHEمشاهده پروفایل

مدرس

• Cybersecurity
• Cloud Computing Security
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Nesrine KAANICHE is a Lecturer at Telecom SudParis, affiliated with the SAMOVAR research center. Her work focuses on cybersecurity, privacy-preserving technologies, and cloud computing security. She has contributed to numerous publications addressing topics such as federated learning fairness, 6G network security, blockchain-based auditing, and IoT privacy. Her research emphasizes practical solutions for data protection and secure communication in distributed systems. Education : Ph.D. in Cryptography and Security from the National Institute of Telecommunications (2014), with a thesis titled Cloud data storage security based on cryptographic mechanisms . Key Research Themes : Federated Learning : Developing frameworks like FADE to ensure fairness and privacy in decentralized machine learning. 6G Networks : Proposing zero-trust architectures and secure protocols for next-generation communication systems. Blockchain Applications : Designing BDUA and other systems for transparent data usage auditing. Privacy-Preserving Protocols : Innovations like PIMA and SPOT for identity management and e-healthcare systems. Recent Contributions : Over 30 peer-reviewed articles since 2013, including work on intrusion detection systems, homomorphic proofs for data integrity, and secure cloud storage mechanisms. Her 2025 papers address cutting-edge challenges in federated learning fairness and AI-driven anomaly detection.

Daniel V. McGeheeمشاهده پروفایل

استاد

• Driver attention and response
• Automotive Safety
• Crash avoidance
• +۴ مورد دیگر

Professor Daniel V. McGehee is a leading academic at the University of Iowa's College of Engineering, holding appointments in Industrial and Systems Engineering, Emergency Medicine, and Public Health. He directs the Driving Safety Research Institute (DSRI) and National Advanced Driving Simulator (NADS), focusing on driver behavior, automation safety, and human factors in transportation. His research spans ADAS systems, cannabis impairment effects, and tractor driving risks, with over $42M in grant funding. Key projects include 'ADS for Rural America' and the MyCarDoesWhat campaign. McGehee earned a PhD in Human Factors from the University of Leeds and has authored 150+ publications. His work integrates engineering, medicine, and policy to reduce traffic injuries. Education: PhD (Human Factors, University of Leeds), MS (Human Factors/Engineering Psychology, University of Idaho), BA (Psychology, Central Washington University). Research Priorities: Driver attention automation, crash avoidance, and trauma outcomes Labs: Applied Cognitive Engineering (ACE) Lab, DSRI Society Memberships: SAE International, Human Factors and Ergonomics Society Grants include studies on pedal misapplication, regenerative braking, and distracted driving trends. His work bridges academic research with real-world applications like NADS-Net AI for seat belt monitoring. McGehee collaborates globally, serving on the U.S.-EU-Japan trilateral automated vehicle working group.

Andrea Baldassariمشاهده پروفایل

پژوهشگر

• Semantic Web Applications
• Mobile Learning Platforms
• Smart Campus Solutions
• +۳ مورد دیگر

Andrea Baldassari is a researcher at the Department of Innovative Technologies (DTI) of SUPSI, affiliated with the Institute of Information Systems and Networking (ISIN). His work focuses on semantic web applications, mobile learning platforms, smart campus solutions, and mobility analysis. He leads projects like LiveSmart-CAMPUS (enhancing campus experiences via IoT), e-mobiliTI (electric mobility transition studies), and Ondigita (educational document management). Key research areas include wearable device data analysis for health monitoring, proximity-based systems for smart environments, and probabilistic models for burnout prevention. He collaborates on EU-funded projects analyzing teleworking impacts and employee well-being. Publications span semantic frameworks (e.g., Semantic DB, IRCS Water), mobility tracking methodologies, and mobile app development for education and workplace optimization. His work emphasizes real-world application in domains like water management, transportation, and e-learning. Award recognition details are not explicitly listed in provided texts.

Xiaoxiao Yuمشاهده پروفایل

مدرس ارشد

• Financial Reporting Quality and Disclosure
• Corporate Governance
• Accounting Information System
• +۶ مورد دیگر

Xiaoxiao Yu is a Senior Lecturer in the Department of Accounting at Monash Business School, Monash University. She is actively engaged in research and teaching, supervising PhD students and contributing to key areas in accounting and information systems. Her work bridges financial reporting, disclosure practices, and technological applications in auditing. Education: Doctor of Accounting, University of Texas at Arlington (Awarded: 11 May 2019) Master of Quantitative Economics, Wuhan University (Awarded: 30 Jun 2005) Dual Bachelor’s in Economics & Mathematics, Wuhan University (Awarded: 30 Jun 2002) Her research focuses on financial reporting quality, corporate governance, accounting information systems, and auditing . She applies textual analysis, behavioral studies, and data science techniques to examine how information is disclosed, processed, and used in capital markets. Her work often explores the intersection of technology and accounting, such as XBRL adoption and graph-based auditing tools. The recent publications show a consistent trend in analyzing textual disclosures , investor and analyst behavior , and technology-driven auditing methods . These works span top-tier journals in accounting and information systems, reflecting both theoretical depth and practical relevance. Scientific Awards: AAA Annual Meeting Outstanding Reviewer Award (2022) Monash Business School Education Award (2023) Early Career Researcher Accounting Education Award (2025) Xiaoxiao Yu has secured research funding through competitive grants, including the project 'Do Auditors Consider the Inconsistency in Textual Disclosure? Evidence from 10-Ks and 10-Qs' , which she co-led as Chief Investigator. She actively contributes to academic service, particularly through peer review and educational innovation. While no formal lab or research center is mentioned, her collaborative network includes researchers like K.H. Guo, W. Zhang, and C. Wilkin, suggesting an active research team environment focused on accounting technology and disclosure analysis.

• Sleep Research
• Shift Work
• Workplace Stress
• +۴ مورد دیگر

Anette Harris is a Professor at the University of Bergen , affiliated with the Faculty of Psychology and the Department of Psychosocial Science . She leads the Research Center for Sleep, Work and Health and the Bergen Sleep and Chronobiology Network . Her career spans over 15 years, focusing on sleep, stress, and health in work environments. Research Interests: Sleep disorders, shift work adaptation, cortisol regulation, work-related fatigue, and workplace bullying. Awards: Funded by the Norwegian Research Council for multiple projects. Students: Mentored Sarah Helene Aarestad (PhD, 2022) on workplace bullying recovery. Her 2025-2024 publications highlight sleep app usage, quick return simulations, blue light exposure effects, and insomnia interventions. Key scientific themes include optimizing shift schedules, understanding cortisol dynamics, and mitigating workplace bullying impacts through resilience studies. Grants from the Research Council of Norway (refs: 335746, 303671) fund her work on healthcare worker well-being and shift work effects. She actively contributes to popular science through lectures and podcasts addressing stress, sleep, and organizational health.

Inga Oelrichsمشاهده پروفایل

پژوهشگر

• Sports Communication
• Digital Journalism
• Social Media in Sports
• +۷ مورد دیگر

Inga Oelrichs is a researcher at the Institute for Communication and Media Research at the German Sport University Cologne (DSHS). She completed her doctoral studies at the same institute and continues her academic work focusing on digital sports journalism, social media practices, and audience engagement. Her research spans innovative media use, scandalization in sports media, and second screening behaviors. Her research interests lie at the intersection of sports, media, and digital communication. She investigates how journalists use social media as sources, how audiences interact with sports content across platforms, and how sports organizations manage their owned media. Her work combines qualitative and quantitative methods to explore evolving media practices in sports contexts. The 15 most recent articles reflect a strong focus on digital transformation in sports journalism, with recurring themes including social media integration, source credibility, audience expectations, and innovation adoption. Her publications appear in leading journals such as the International Journal of Sport Communication and Communication & Sport , demonstrating sustained scholarly output and international relevance. Scientific Activities and Projects: Innovationen im Sportjournalismus (Ongoing, self-funded) Nutzungsmotive und Qualitätserwartungen an Instagram-Angebote (2022–2024, self-funded) Digitales Lehr- und Lernmaterial 'So funktioniert Sportjournalismus' (2022–2023, third-party funded) Owned Media Content im Sportjournalismus (2018–2023, self-funded) Skandalfaktoren (2013–2016, self-funded) She has presented at major international conferences including ICA, IACS, and ECREA. Her collaborative work with scholars like Mark Ludwig, Christoph Bertling, and Natascha Wehlisch highlights her integration into the global sports communication research community. Though no formal PhD students are listed, she contributes to research training through project involvement and educational material development. Labs and Research Environment: Inga Oelrichs operates within the Institute for Communication and Media Research at DSHS, a leading center for sports communication studies in Europe. The institute supports interdisciplinary research on media, sports, and society, providing a collaborative environment for empirical and theoretical inquiry.

Henry Hoffmannمشاهده پروفایل

استاد

• Self-aware Computing
• Adaptive Computing
• Computer Systems
• +۵ مورد دیگر

Henry Hoffmann is Professor and Liew Family Chair of the Department of Computer Science at the University of Chicago. He serves as Chair of the department and leads research in self-aware and adaptive computing systems. His work bridges traditional computer systems areas with control theory and machine learning to create systems that automatically adapt to meet high-level goals. Hoffmann received his Ph.D. from MIT in 2013 under advisors Anant Agarwal and Srinivas Devadas, with his dissertation titled "SEEC: a framework for self-aware management of goals and constraints in computing systems." He earned an S.M. from MIT in 2003 and a B.S. with highest honors and distinction from UNC-Chapel Hill in 1999. Hoffmann's research focuses on developing self-aware computing systems that understand high-level goals and automatically adapt their behavior to meet those goals optimally. His recent work has shifted toward applying these techniques to control machine learning and AI systems, building learning systems that dynamically adapt their internal structure and resource usage to meet accuracy, energy, performance, and security goals at inference time. His interdisciplinary approach combines operating systems, computer architecture, control theory, and machine learning. Analysis of Hoffmann's recent publications reveals a clear trajectory toward increasingly sophisticated applications of self-aware computing principles. His work has evolved from foundational resource management to cutting-edge applications in AI/ML systems, quantum computing, and security. The publications demonstrate a consistent theme of using control theory and machine learning to create adaptive systems that optimize multiple competing objectives like performance, energy efficiency, and reliability. Recent papers show expanding applications into large language models, quantum algorithms, and privacy-preserving techniques. Presidential Early Career Award for Scientists and Engineers (PECASE) 2019 DOE Early Career Award 2015 Samsung Security Hall of Fame recognition IEEE Micro Top Picks Honorable Mention awards FSE Test of Time Honorable Mention ASPLOS Hall of Fame recognition Hoffmann has mentored numerous PhD and Master's students who have gone on to successful careers in academia and industry. His research has secured over $19 million in funding for the University of Chicago. He co-founded Config Dynamics in 2019 to commercialize aspects of his self-aware computing research. His work has practical applications across data centers, edge computing, AI systems, and quantum computing. Hoffmann leads the SEEC (Self-aware, Energy-Efficient Computing) research group at the University of Chicago. The group focuses on developing frameworks and techniques for building self-aware computing systems that can dynamically adapt to changing conditions and requirements. The group maintains strong collaborations with industry partners and other academic institutions, particularly in the areas of quantum computing, AI systems, and energy-efficient computing.

Ilgin Gulerمشاهده پروفایل

دانشیار

• Transportation Engineering
• Intelligent Transportation Systems
• Traffic Signal Control
• +۸ مورد دیگر

Ilgin Guler is an Associate Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University’s College of Engineering. Her research focuses on intelligent transportation systems, traffic operations, infrastructure sustainability, and equitable mobility solutions. She contributes to interdisciplinary projects such as the Equitable Optimization of Transportation Systems and Services addressing climate and sustainability challenges. Her research interests span Transportation Engineering , Intelligent Transportation Systems , Traffic Signal Control , Connected Vehicles , Pavement Management , and Transit Signal Priority . She applies advanced techniques including deep learning and optimization to improve urban and rural transportation systems. Her work emphasizes safety, equity, and sustainability in infrastructure planning and operations. The recent publications highlight a strong trend in integrating machine learning with classical traffic theory, enhancing infrastructure resilience through data-driven maintenance, and evaluating shared mobility impacts on safety and equity. Her research bridges civil engineering with data science, focusing on real-world applications in Pennsylvania and beyond. Scientific Awards: No awards explicitly mentioned in the provided text. She advises graduate students in transportation engineering and has been involved in multiple research projects, including seed-funded initiatives from the Institute for Energy and the Environment (IEE). While specific grant amounts and student names are not listed, her collaborative work with faculty like Vikash Gayah and Anik Sengupta indicates active mentorship and team leadership. Her research is associated with initiatives such as the Equitable Communities and the Built Environment and leverages tools from connected vehicle technology, impact-echo testing, and generative AI for infrastructure assessment.

• Extractive Metallurgy
• Green Steel Technology
• Hydrogen Ironmaking
• +۸ مورد دیگر

Dr. Shabnam Sabah is a Postdoctoral Research Engineer at Swinburne University of Technology, affiliated with the School of Engineering and actively contributing to the Green Steel Alliance and HILT CRC projects. Her research is centered on hydrogen-based iron and steel production, with a strong focus on sustainable and decarbonized metallurgical processes. Research Interests: Her work spans green steel technology , hydrogen ironmaking , flash smelting , extractive metallurgy , and high-temperature process modeling . She investigates techno-economic feasibility, energy efficiency, and emissions reduction in next-generation steelmaking pathways. Her recent publications demonstrate a strong trend toward hydrogen-based direct reduced iron (H2-DRI) , flash reduction processes , and low-grade ore utilization , with increasing emphasis on modeling, pilot testing, and sustainability metrics. She has published extensively in journals such as Metallurgical and Materials Transactions B , Ironmaking & Steelmaking , and Cell Reports Sustainability . Scientific Contributions: Developed models for H2-DRI shaft furnaces and flash reactors. Conducted techno-economic assessments of green steel pathways. Pioneered cold modeling studies on splashing in oxygen steelmaking. Explored CO2 emissions linked to gangue content in decarbonized routes. Advising and Grants: She is available to supervise PhD students and has been involved in major CRC-funded projects such as HILT, focusing on hydrogen integration in ironmaking. Her work bridges experimental research, process simulation, and industrial applicability. Labs and Teams: She is part of the Green Steel Alliance at Swinburne, collaborating with experts like Prof. Geoffrey Brooks and Dr. M Akbar Rhamdhani. Her research leverages advanced modeling tools (Aspen Plus, HSC Chemistry) and experimental cold models to validate industrial-scale processes.

• Psychology
• Public Health
• Mindfulness Research
• +۷ مورد دیگر

Maris Vainre is a Research Fellow in Welfare Research at the University of Tartu's Faculty of Social Sciences, Institute of Psychology, with additional affiliations as a Visiting Research Fellow at the University of Melbourne's Contemplative Studies Centre. Holding a PhD in Medical Sciences from the University of Cambridge (2024), her research spans psychology, public health, and behavioral science with a focus on mindfulness interventions, mental health, and well-being studies. Her research interests center on mindfulness-based programs, mental health interventions, behavioral science applications, and well-being research, with particular emphasis on adolescent psychology, workplace applications, and public health implementation. Vainre has made significant contributions to understanding how mindfulness practices affect cognitive skills, behavior, and mental health across different populations, including students, teachers, and working adults. Her recent publication trend shows extensive work on the MYRIAD trial and SWELL study, examining school-based and workplace mindfulness interventions. These studies employ rigorous methodologies including randomized controlled trials, meta-analyses, and longitudinal assessments to evaluate effectiveness, cost-benefit relationships, and implementation factors of mindfulness programs across diverse settings. University of Tartu Institute of Psychology's Best Newcomer in Science 2025 (for publishing three articles in highly influential psychology journals within a single year) Milo Keynes Prize nomination for Outstanding Dissertation 2024 from University of Cambridge School of Clinical Medicine Journal of Behavioural Public Administration Best Paper Award 2021 for research on tax compliance nudging Vainre has served as a scientific advisor to Estonia's Ministry of Social Affairs and contributed to numerous behavioral intervention projects, including nudging initiatives for tax compliance, personal protective equipment usage, and unemployment benefit recipients. She has also been involved in crisis preparedness projects and served on the scientific council for prevention. Her methodological expertise includes advanced data analysis (R, NVivo, SPSS), programming (Python, JavaScript), and multilingual research (Estonian, English, German, Spanish, Russian, French), supporting her interdisciplinary approach to mental health and well-being research.

Jansie Prozeskyمشاهده پروفایل

دانشیار

• Anesthesiology
• Perioperative Medicine
• Pediatric Anesthesia
• +۳ مورد دیگر

Jansie Prozesky is an Associate Professor and Associate Vice Chair for Quality in the Department of Anesthesiology and Perioperative Medicine. Her work spans multiple specialized divisions including Cardiac & Vascular Anesthesia, ENT Anesthesia, and Pediatric Anesthesia. With an h-index of 14 and 8 citations, her research output focuses on improving clinical practices and patient outcomes. Role: Associate Vice Chair, Quality Specializations: Cardiac & Vascular Anesthesia, ENT Anesthesia, Pediatric Anesthesia Prozesky's research centers on anesthesiology and perioperative care, with a strong emphasis on surgical infection prevention, airway management, and optimizing antibiotic administration. Her work aligns with the UN Sustainable Development Goal 3 (Good Health and Well-being). Recent publications highlight trends in quality improvement initiatives related to antimicrobial prophylaxis, airway device innovation, and adherence to clinical guidelines. These contributions span critical areas like pediatric anesthesia, cardiac surgery, and postoperative complication management.

Clemens Kronebergمشاهده پروفایل

استاد

• Analytical Sociology
• Migration and Integration
• Crime and Deviance
• +۳ مورد دیگر

Clemens Kroneberg is Professor of Sociology at the Institute of Sociology and Social Psychology (ISS) , University of Cologne . He is also a member of the ECONtribute Center of Excellence (Universities of Bonn and Cologne), an external fellow of the Mannheim Centre for European Social Research , and an elected Fellow of the European Academy of Sociology . Education: While specific degrees are not listed, his extensive publication record and professorship indicate advanced training in sociology and social psychology. Research Interests: His work spans analytical sociology , migration and integration , crime and deviance , and social boundary-making . He has contributed significantly to the development of the Model of Frame Selection , an integrative theory of action that incorporates framing and variable rationality. Awards and Recognition: He has received prestigious awards including the Robert K. Merton Best Paper Award 2021 , the Best Article Award of the Rationality and Society section of the American Sociological Association 2013 , and the ERC Starting Grant for the SOCIALBOND project. Students and Collaboration: He has supervised doctoral students such as Maria Gerth , Sonja Schulz , André Ernst , and Harald Beier , and has collaborated with institutions like Harvard University , Cambridge University , and McGill University .

Imke Wetsمشاهده پروفایل

پژوهشگر

• Aphasia
• Cognitive communication disorders
• Neurodegenerative language disorders
• +۲ مورد دیگر

Imke Wets is a PhD candidate at the Centre for Language Studies at Radboud University. Her research focuses on language and speech pathology, particularly examining language impairments in individuals with aphasia or cognitive communication disorders due to brain damage. Co-supervised by Prof. Helen de Hoop, Dr. Lotte Hogeweg, and Dr. Marina B. Ruiter, her work bridges theoretical linguistics with clinically oriented research to improve functional communication therapies. PhD Candidate (2021–present), Radboud University Master in Language and Speech Pathology (2019–2020), Radboud University Bachelor in Speech Language Therapy and Audiology (2015–2018), Thomas More, Antwerp, Belgium Her research interests include aphasia, cognitive communication disorders, neurodegenerative language disorders, pragmatics, and clinical practice. She has contributed to studies on discourse particles, semi-spontaneous language production in Dutch-speaking individuals with primary progressive aphasia, and systematic reviews of word production abilities in basal ganglia dysfunction. Her work employs methods like EEG, MEG, and lesion-symptom mapping to analyze neural mechanisms in language production. Recent publications highlight her investigation into discourse particle usage in aphasia, which may inform clinical interventions. She has also explored the relationship between confrontation naming tests and semi-spontaneous language performance in primary progressive aphasia, though her regression analyses did not confirm naming scores as predictors. Her collaborations with Prof. Vitória Piai and Dr. Nikki Janssen include conference papers and poster presentations, such as at the IMPRS Conference 2020.