جستجوی استاد راهنمای دانشگاهی

Connie Berthelsenمشاهده پروفایل

استاد

• Clinical Nursing
• Transitional Care
• Nursing Research
• +۷ مورد دیگر

Connie Berthelsen is a Professor and Head of Research at the IRS Research Unit for Clinical Nursing, Department of Regional Health Research, University of Southern Denmark, affiliated with the Department of Medicine in Køge. Her work bridges clinical nursing, patient safety, and healthcare systems, with a strong focus on transitional care and chronic disease management. PhD in Nursing Science, University of Southern Denmark (2013) Master of Science in Nursing, Aarhus University (2007) Diploma in Nursing, Aarhus University (2003) Her research centers on improving clinical nursing practices, particularly in the context of elderly care, multimorbidity, and the integration of newly graduated nurses into healthcare systems. She employs both qualitative and systematic review methodologies to evaluate interventions and care models. Her recent publications show a consistent focus on transitional care, nurse retention, delirium management, and interdisciplinary coordination in hospitals. She frequently uses umbrella and systematic reviews to synthesize evidence, and her work increasingly explores the role of AI in qualitative data analysis. The Rosemary Crow Award (2015) Fellow of the European Academy of Nursing Science (FEANS) Connie Berthelsen actively supervises PhD students and leads multiple research projects, including EU and nationally funded initiatives. She collaborates extensively with hospitals and universities across Denmark. Her teaching and supervision roles emphasize evidence-based practice and research methodology in nursing. She is involved in several research networks and regularly presents at national and international conferences. Her leadership in the TLC-Program and other transitional care initiatives highlights her commitment to improving patient outcomes through systemic nursing interventions.

Ryan K. Cosnerمشاهده پروفایل

استادیار

• Robotics
• Control Theory
• Machine Learning
• +۳ مورد دیگر

Ryan K. Cosner is an Assistant Professor in the Department of Mechanical Engineering at Tufts University's School of Engineering, commencing his appointment in January 2026. His research bridges robotics, machine learning, and control theory to develop provably safe autonomous systems through risk-aware control frameworks and deployable algorithms validated across diverse robot platforms. His academic background includes a Ph.D. from the California Institute of Technology (Caltech) and a B.S. from the University of California, Berkeley. Prior to joining Tufts, he contributed to autonomous vehicle research at Nvidia's Autonomous Vehicle Research Group. Dr. Cosner's work centers on robotics safety using Control Barrier Functions (CBFs) to ensure set-invariance under uncertainty. His research spans stochastic safety guarantees , risk-aware control synthesis , and safe learning frameworks for real-world applications. Key methodologies include discrete-time CBFs, probabilistic safety bounds, and integration of machine learning with formal verification. Analysis of his 2022-2025 publications reveals dominant themes in safety-critical control for uncertain systems, with significant contributions to humanoid robotics, autonomous vehicles, and stochastic safety frameworks. His work consistently advances CBF theory while addressing practical deployment challenges through validation on physical systems. No scientific awards were documented in the provided materials. Dr. Cosner is establishing his research group at Tufts and actively recruiting graduate students for projects in safety-critical autonomy. While specific grants aren't detailed, his research direction aligns with funding priorities in trustworthy AI and robotic systems safety. He leads a robotics safety laboratory focusing on humanoid platforms and autonomous vehicles, maintaining collaborations with industry partners like Nvidia and academic institutions including Caltech.

• Radiation Oncology
• Breast Cancer Treatment
• Quality Assurance in Cancer Care
• +۴ مورد دیگر

Suzanne B. Evans, MD, MPH, FASTRO is Professor of Therapeutic Radiology at Yale School of Medicine specializing in breast cancer radiotherapy. She holds appointments in multiple Yale-affiliated centers including the Breast Cancer Radiotherapy Center, Center for Breast Cancer, DNA Damage and Genome Integrity Program for Biomedical Ethics, Yale Cancer Center, and Yale Medicine. Her clinical practice focuses on providing care for patients with breast cancer while minimizing treatment side effects and maximizing cure rates. MD from Tulane University School of Medicine (2001) MPH from Tulane University (2001) Residency in Internal Medicine at Tulane University Hospital Clinic (2004) Residency in Radiation Oncology at Tufts-New England Medical Center (2008) Dr. Evans' research centers on quality and safety in cancer care, with specific interests in cognitive bias, comparative effectiveness, and patient communication. Her work examines how decision-making processes impact treatment allocation, particularly in breast cancer care where she investigates age cutoff bias in adjuvant therapy. She has developed innovative approaches to enhance radiation safety through multi-institutional collaboration and incident learning systems. Her passion extends to medical education, where she has pioneered high-yield physics educational content for radiation oncology residents through video-based learning resources. Analysis of Dr. Evans' recent publications reveals a strong focus on quality assurance systems in radiation oncology, with significant contributions to understanding cognitive biases in treatment decisions, pandemic safety at medical conferences, and innovative medical education techniques. Her work spans breast cancer treatment optimization, radiation safety protocols, and healthcare policy issues including reproductive justice in oncology care. Dr. Evans currently serves as chair of ASTRO's Clinical Affairs and Quality Council. She has previously chaired the multidisciplinary quality assurance subcommittee with the American Society of Therapeutic Radiology and Oncology, served as chair of the best of ASTRO meeting, and was part of ASTRO's annual meeting steering committee and Education committee. She retired as an executive editor for the journal Practical Radiation Oncology and served as Chair of the Radiation Oncology Health Advisory Committee. Dr. Evans is passionate about advancing Women in STEM fields and maintains a patient-centered philosophy emphasizing that 'no matter who you are, you are safe to receive care with Dr. Evans.' She actively works to create inclusive environments in both clinical practice and academic medicine, with a focus on minimizing treatment side effects while maximizing therapeutic outcomes for breast cancer patients.

Cynthia Hicbanمشاهده پروفایل

مدرس

• Children's Participation Rights
• Child Voices in Education
• Early Childhood Education
• +۷ مورد دیگر

Dr Cynthia Hicban is an academic at the School of Education and Tertiary Access of the University of the Sunshine Coast, Queensland, Australia. Her work focuses on children’s participation rights, using ethnomethodology and conversation analysis to study social interactions in early childhood education. She has developed the LViIP framework to evaluate children’s rights enactment and advocates for child-led learning approaches. PhD in Children's Rights (Queensland University of Technology) MLI in Interactional Linguistics (Queensland University of Technology) BA in Asian Studies (University of Sydney) Cynthia’s research explores: Children’s voices in educational settings Risky play and its developmental benefits Mixed-age peer interactions Implementation of UNCRC principles Her recent publications analyze child-agency dynamics in climbing scenarios (2023), friendship formation across age gaps (2025), and LViIP methodology (2024). She collaborates with Maryanne Theobald and Julia Mascadri, using multimodal transcription frameworks to study educator-child interactions. Australasian Institute for Ethnomethodology and Conversation Analysis (AIEMCA) International Society for Conversation Analysis (ISCA) Early Childhood Australia Organisation Mondiale pour l’Education Prescolaire (OMEP) Australia As a teacher and mentor, Cynthia bridges academic research with practical applications in early childhood education. She works with the EMCA in ECEC Lab to translate findings into child-safe organizational strategies aligned with the National Principles for Child Safe Organisations.

• Robotics and Autonomous Systems
• Robot Perception and Learning (RoPAL)
• Simultaneous Localisation and Mapping (SLAM)
• +۷ مورد دیگر

Dr Ze Ji is Reader of Robotics and Autonomous Systems at Cardiff University’s School of Engineering, where he leads the Robotics and Autonomous Intelligent Machines (RAIM) group and directs the Robotics and Autonomous Systems Laboratory. He is Co-Investigator and theme leader for the ERDF-funded IROHMS research centre and holds a Royal Academy of Engineering Industrial Fellowship hosted by Spirent Communications Ltd. Education PhD in Engineering, Cardiff University (2007) – EU FP6 TAI-CHI project MSc, Cardiff University BEng, Cardiff University Research Interests Dr Ji’s research centres on Robot Perception And Learning (RoPAL) , spanning: Simultaneous localisation and mapping (SLAM) Deep reinforcement learning for navigation and manipulation Human-robot collaboration & digital-twin based fatigue management Vision, tactile sensing, and smart sensing systems Unmanned surface vehicles (USVs) and UAV coordination Physics-based differentiable simulation for elastoplastic material handling Publications Trend Since 2021 Dr Ji has authored >120 peer-reviewed papers. A dominant theme is mapless navigation via hierarchical and preference-based reinforcement learning for ground, aerial and surface robots. Parallel streams investigate human-centric manufacturing (digital twins for fatigue-aware assembly), vision-based tactile sensing, defect detection on steel, and orchard robotics (green-fruit segmentation), all underpinned by deep learning and rigorous real-world validation. Scientific Awards & Fellowships Royal Academy of Engineering Industrial Fellowship EU FP6 Best Exhibit Prize, Helsinki 2006 (TAI-CHI project) Fellow of the Higher Education Academy (FHEA) Grants & Centres Principal Investigator, EPSRC-funded differentiable physics project (2025) Co-Investigator, IROHMS (ERDF/WEFO) Industrial Fellowship with Spirent Communications Ltd Laboratory & Facilities Dr Ji manages the Robotics and Autonomous Systems Laboratory , housing two KUKA LBR iiwa robots, Robotnik Vogui+, three KUKA YouBots, TurtleBots, drones, advanced 3-D vision systems, and sensors. The lab has also produced two student-built USVs (unmanned surface vehicles) for maritime research.

• Child Maltreatment
• Child Abuse Epidemiology
• Health Disparities
• +۶ مورد دیگر

Dr. Wendy G. Lane, MD, MPH, is an Associate Professor in the Department of Epidemiology and Public Health and the Department of Pediatrics at the University of Maryland School of Medicine. She serves as Medical Director at the Baltimore Child Abuse Center, Director of the Preventive Medicine Residency Program, and Co-Director of the Program in Health Disparities and Population Health. In 2017, she was appointed Chair of the State Council on Child Abuse and Neglect. Education: B.A. in History (Magna Cum Laude, University of Pennsylvania), M.D. (University of Pennsylvania School of Medicine), M.P.H. in Maternal and Child Health (University of North Carolina School of Public Health). Certifications: Board-certified in General Pediatrics, Child Abuse Pediatrics, and Preventive Medicine. Research Interests: Dr. Lane specializes in child maltreatment epidemiology, prevention, and disparities, with a focus on maternal and child health, birth outcomes, and health equity. Her work includes community-based interventions like B’more for Healthy Babies and the Safe Environment for Every Kid (SEEK) model. Scientific Awards: American Academy of Pediatrics Special Achievement Award (2009) Martin Luther King, Jr. Diversity Recognition Award (2012) Dean’s Faculty Award for Diversity and Inclusion (2017) Publications: Her research spans child abuse prevention, maternal autonomy, social determinants of health, and community-driven health interventions, with recent works analyzing maternal mortality review committees and mindfulness training for Black mothers in Baltimore.

Emad Samuel Malki Ebeidمشاهده پروفایل

استاد

• Robotics
• Embedded Systems
• Smart Grids
• +۳ مورد دیگر

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

Christoph Kehlمشاهده پروفایل

پژوهشگر

• Technology Assessment
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Christoph Kehl is a Researcher at the Karlsruhe Institute of Technology (KIT), working with the Institute for Technology Assessment and Systems Analysis (ITAS) and the Office for Technology Assessment at the German Bundestag (TAB). He holds a Diplom in Environmental Sciences (ETH Zurich) and a Magister Artium in Philosophy (Freie Universität Berlin), with a doctorate in Biomedical Memory Research (Humboldt University Berlin). His work spans technology assessment in bio- and neurotechnologies, robotics/AI, and environmental sustainability. Education: Environmental Sciences (ETH Zurich), Philosophy (Freie Universität Berlin), Doctorate in Biomedicine (Humboldt University Berlin) Research focuses on human-machine interaction, ethical technology design, climate-friendly policies, and digitalization impacts across agriculture, construction, and healthcare. Recent articles address forest conversion under climate change, recycling strategies, and generative AI in policy advice. His work emphasizes interdisciplinary collaboration and societal preconditions for sustainable innovation. Professional roles include contributions to parliamentary advisory projects, participation in European technology assessment conferences, and editorial work. No explicit awards or student advising details are noted in the provided texts. Current projects involve foresight for critical infrastructure systems and climate-safe shipping concepts.

Claes Granmarمشاهده پروفایل

دانشیار

• European Law
• EU Law
• European Convention on Human Rights (ECHR)
• +۷ مورد دیگر

Name: Claes Granmar, Associate Professor in European Law at Stockholm University's Department of Law. Research focuses on EU internal market, external trade relations, and global digitalization within constitutional frameworks. Academic affiliations include Oxford University (Institute for European and Comparative Law, 2017-2018), Max Planck Institute (Munich), and Melbourne Law School (Honorary Fellow, 2019). Research Interests: Broader themes include EU law, ECHR, data protection, and AI's legal implications. Specific subfields cover GDPR territorial scope, EU-US data transfers, trademark law, and competition law applications. Articles address topics like AI regulation under the EU AI Act, EU investment tribunals' legality, and enforcement of privacy rights post-Schrems rulings. Publications span monographs (e.g., Trade Mark Paradoxes ) and edited volumes like AI and Fundamental Rights . Advising: Supervises PhD candidates Karolis Kubilevicus and Giorgi Parulava, with expertise in EU law and data protection. Collaboration: Involvement in projects like SPARC (AI in healthcare) and the Nordic Forum for a Living European Convention. Leadership roles in academic institutions and journals.

Pan Zhaoمشاهده پروفایل

استادیار

• Control Theory
• Machine Learning
• Autonomous Systems
• +۴ مورد دیگر

Dr. Pan Zhao is an Assistant Professor in the Department of Aerospace Engineering and Mechanics at the University of Alabama (UA). He directs the Autonomous Systems and Control Lab (ASCL), focusing on the integration of control theory, machine learning, and autonomy for aerospace and robotics applications. Prior to UA, he was a Postdoctoral Researcher at the University of Illinois at Urbana-Champaign. B.E., Automation, Beihang University (2009) M.E., Mechanical Engineering, Beihang University (2012) Ph.D., Mechanical Engineering, University of British Columbia (2018) Dr. Zhao’s research spans robust, adaptive, and nonlinear control theory, with applications to autonomous systems in aerospace, robotics, and sustainable agriculture. His group develops algorithms for safe and efficient operation under uncertainties, validated through real-world experiments on unmanned vehicles. Recent work includes advancements in control barrier functions, contraction metrics, and adaptive control for VTOL aircraft and quadrotors. Notable scientific awards include the NSERC Vanier Canada Graduate Scholarship (2015) and recognition as an Excellent Reviewer by the Journal of Guidance, Control, and Dynamics (2022). The ASCL lab has secured funding from UA’s ORED Small Grant Program for resilient autonomous systems research.

Michael Feluxمشاهده پروفایل

استاد

• Aviation Communication, Navigation and Surveillance (CNS)
• Global Navigation Satellite Systems (GNSS)
• Ground-Based Augmentation System (GBAS)
• +۵ مورد دیگر

Prof. Dr. Michael Felux is full Professor and team leader of the Aviation Infrastructure group at the ZHAW School of Engineering , Zurich University of Applied Sciences. He also co-founded and co-owns the Estonian consultancy Navaid OÜ , providing GNSS/CNS expertise while ensuring non-conflict with his academic role. Education Dr.-Ing. in Mechanical Engineering, TU München (2012 – 2018) Dipl.-Tech. Math. in Mathematics, TU München (2003 – 2009) CAS Hochschuldidaktik (Higher-Education Didactics), PHZH (2021) Research Focus Michael Felux’s research centres on safe, secure and efficient aviation communication, navigation and surveillance (CNS) . He investigates GNSS-based augmentation systems (GBAS, SBAS) for precision approach and landing, develops real-time interference detection & localization techniques to counteract jamming and spoofing, and explores high-integrity navigation solutions for unmanned aerial vehicles (UAVs). Additional interests include environmental optimisation of flight procedures and multi-constellation, multi-frequency signal processing . Across more than 50 peer-reviewed publications since 2015, his work consistently targets the intersection of technical robustness and operational feasibility . Recent papers map GNSS disruption events across European airspace, quantify fuel-burn reductions enabled by GBAS-guided continuous-descent approaches, and introduce cost-efficient machine-learning frameworks for real-time localisation of malicious radio-frequency interference. Scientific Awards & Recognition (no specific awards listed in supplied material) Research Funding & Projects Spoofer Localization – Swiss project leader, ongoing EGNSS DFMC for GBAS based operations – EU project leader, ongoing Making I-CNS A Reality – integrated CNS technology, project leader, ongoing High Integrity Satellite Navigation for UAV using Galileo HAS – project leader, ongoing LINA – Shared large-scale infrastructure for safe testing of autonomous systems, team member, ongoing Collision avoidance system for manned & unmanned aircraft via SDR – completed Emission Reduction using Satellite Navigation for Approach Guidance – completed Laboratory & Team As head of the Aviation Infrastructure team at ZHAW, Prof. Felux directs a multidisciplinary group developing next-generation CNS technologies. The team operates dedicated GNSS/GBAS testbeds, flight-trial aircraft, and spectrum-monitoring networks to validate concepts from simulation through to real-world deployment.

Sriram Sankaranarayananمشاهده پروفایل

استاد

• Cyber-physical systems
• Hybrid dynamical systems
• Formal methods
• +۸ مورد دیگر

Sriram Sankaranarayanan is a Professor in the Department of Computer Science at the University of Colorado Boulder and also serves as Associate Dean for Digital Education in the College of Engineering and Applied Science. Since joining the faculty in 2009, he has built an internationally recognized research program that blends programming languages, formal methods, and control theory to reason about cyber-physical systems. Education: Ph.D. in Computer Science, Stanford University, 2005 (advisers Zohar Manna & Henny Sipma) B.Tech., Indian Institute of Technology Kharagpur (President’s Gold Medal, 2000) Research Interests: Prof. Sankaranarayanan’s work centers on hybrid dynamical systems —models that capture discrete software interacting with continuous physical environments—and on developing formal-methods techniques for their verification, control, and synthesis. Specific themes include control-barrier & Lyapunov function synthesis, neural-network verification, stochastic-game models for human-autonomy interaction, and physics-informed machine learning. Application domains range from autonomous robotics and surgical-task planning to safety-critical medical devices such as the artificial pancreas. Recent Publication Trends (2024-2025): His latest papers advance safe control synthesis (successive control barrier functions, piecewise-affine Lyapunov functions) and trustworthy AI (Taylor-model enhanced physics-informed neural networks), while also exploring game-theoretic anticipation for robotic systems interacting with uncertain human operators. Honors & Awards: NSF CAREER Award (2009) Siebel Scholar (2005) President’s Gold Medal, IIT Kharagpur (2000) CU Boulder Dean’s Award for Outstanding Junior Faculty (2012) CU Boulder Outstanding Teaching Award (2014) CU Boulder Provost’s Faculty Achievement Award (2014) Coursera Outstanding Innovation Award (2022) Student Advising & Grants: He has mentored numerous PhD students; recent graduates include Dr. Emily Jensen, Dr. Monal Narasimhamurthy, and Dr. Kandai Watanabe (2024). His group regularly publishes at top venues such as HSCC, POPL, PLDI, CAV, and WAFR, supported by NSF, NIH, and industry grants. Group & Teaching: Prof. Sankaranarayanan leads activities within the Programming Languages & Verification group and teaches graduate and undergraduate courses on programming languages, algorithms, optimization, and formal methods. He is active in conference organization (e.g., PC Chair VMCAI 2025) and maintains open-source courseware and research notebooks on GitHub.

Gabriella Pizzutoمشاهده پروفایل

مدرس

• Robotics
• Applied Machine Learning
• Human-Robot Collaboration
• +۳ مورد دیگر

Dr. Gabriella Pizzuto is a Lecturer in Robotics and Chemistry Automation with a joint appointment in the Department of Computer Science and Department of Chemistry at the University of Liverpool. She serves as Research Area Lead for the Royce Digital Chemical Materials Design Research Area, holds a Royal Academy of Engineering Research Fellowship, and acts as ECR Co-Chair for the EPSRC AI Hub in Chemistry (AIChemy). Her educational background includes a Ph.D. in Computer Science (2020) from the University of Manchester, where she was a Marie-Sklodowska Curie Early Stage Researcher. During her doctoral studies, she held visiting scholar positions at the University of Edinburgh and the Italian Institute of Technology, followed by a postdoctoral research associate position at the Edinburgh Centre for Robotics. Dr. Pizzuto's research sits at the critical intersection of robotics and applied machine learning for scientific discovery. Her work specifically targets: Multimodal robot skill learning in unstructured environments Failure recovery systems for chemistry laboratory automation Safe human-robot collaboration frameworks Accelerated materials discovery through autonomous experimentation Her research group develops learning-based methods to enable robotic scientists to operate with increasing autonomy in complex experimental settings. Dr. Pizzuto's scientific recognition includes: Royal Academy of Engineering Research Fellowship Marie Skłodowska-Curie Early Stage Researcher Fellowship Her research trajectory demonstrates strong grant leadership, having served as Lead Research Associate on the ERC Synergy Grant 'Autonomous Discovery of Advanced Materials' (ADAM) before establishing her independent research program. Current funding is supported through her Royal Academy Fellowship and leadership roles in national research hubs. Dr. Pizzuto leads a dynamic research group focused on developing intelligent robotic systems for chemistry laboratories, with particular emphasis on creating adaptive platforms that can learn from experimental failures and collaborate effectively with human researchers to accelerate scientific discovery.

• Midwifery
• Fetal monitoring technologies
• Women's experiences during childbirth
• +۴ مورد دیگر

Dr Bec Coddington is a Clinical Fellow at the School of Nursing and Midwifery at University of Technology Sydney (UTS). She holds multiple academic appointments including Lecturer in Nursing and Midwifery Specialist at the Jumbunna Institute for Indigenous Education and Research, and Honorary Clinical Fellow at the Faculty of Health, all since 2020. She also serves as a Post-Doctoral Researcher at the Centre for Midwifery, Child and Family Health at UTS since 2018. Her work focuses on improving maternity care through research on fetal monitoring technologies, women's experiences during childbirth, and culturally safe birthing services. Dr Coddington completed her PhD at UTS (2018-2020), following a Bachelor of Midwifery (Honours) (2010-2012) and a Bachelor of Midwifery (2005-2008), all from UTS. Dr Coddington's research centers on enhancing women's experiences during childbirth through several interconnected themes: Fetal monitoring technologies - examining how different monitoring devices impact women's freedom of movement, bodily autonomy, and overall birth experiences, with a focus on developing and implementing beltless, wireless solutions Continuity of midwifery care - investigating models that provide consistent care for women, including those with complex pregnancies and those seeking homebirth options Culturally safe birthing - working with Aboriginal and Torres Strait Islander communities to enable Birthing on Country services Birth trauma - researching childbirth-related PTSD and developing assessment tools Her recent publications (including multiple 2024 papers) demonstrate a clear trajectory toward human-centered design of maternity care technologies and services. Dr Coddington's work consistently emphasizes woman-centered care, freedom of movement during labor, and the importance of informed choice. She has pioneered research on non-invasive fetal electrocardiography (NIFECG) as an alternative to traditional monitoring that restricts movement. Her scholarship bridges clinical practice, technology development, and policy advocacy, with increasing focus on equity in maternity care, particularly for Indigenous women and those with complex pregnancies. Dr Coddington has received significant research funding including: DelivAssure - A novel monitoring device to detect hypoxia during childbirth (2024-2027) WOMB study - WOmen's experiences of Monitoring Baby (2022-2023) Harnessing technology to enable mobility in labour and birth for women with increased Body Mass Index (BMI) (2021-2025) She serves as a joint supervisor for research students and has presented her work at numerous conferences, often taking a feminist perspective on technology in childbirth. Her service includes committee work related to maternal health outcomes and midwifery practice implementation.

• Critical Urban Research
• Neoliberalism
• Criminalization Processes
• +۴ مورد دیگر

Dr. Jenny Künkel is a researcher at the Institute of Social Work and Social Policy at the University of Duisburg-Essen. Her work focuses on critical urban studies, neoliberalism, and intersections of policing with sexuality, gender, and drug policy. Current Role: Researcher at Institute of Social Work and Social Policy University: University of Duisburg-Essen Contact: jenny.kuenkel@uni-due.de Research Interests: Jenny Künkel's scholarship examines power dynamics in urban governance, including carceral feminism, drug policy reform, and the policing of sexuality and gender. Her work critically analyzes neoliberal crime control mechanisms and spatial marginalization processes. Publication Trends: Recent articles explore drug decriminalization models, feminist governance frameworks in nightlife spaces, and critiques of punitive approaches to sex work. Her research often bridges criminological theory with practical urban policy challenges. Collaborations: She collaborates with scholars like Marie-Theres Piening, Mélina Germes, and Roxanne Scavo on interdisciplinary projects at the intersection of social work, criminology, and gender studies.