جست‌وجوی استاد و پژوهشگر

Zachary Sunbergمشاهده پروفایل

استادیار

• Aerospace autonomy
• Partially observable Markov decision processes (POMDPs)
• Game theory
• +۵ مورد دیگر

Zachary Sunberg is an Assistant Professor in the Ann and H.J. Smead Aerospace Engineering Sciences Department at the University of Colorado Boulder. He is affiliated with the Research and Engineering Center for Unmanned Vehicles (RECUV) and leads the Autonomous Decision and Control Lab (ADCL). His research focuses on artificial intelligence for autonomous systems, particularly in aerospace autonomy, decision-making under uncertainty (via POMDPs), and human-AI interaction. Sunberg holds a PhD from Stanford University (2018), an MS and BS from Texas A&M University (2013, 2011). His work spans algorithm development for autonomous vehicles, including safe and efficient driving, rotorcraft control, and game-theoretic planning. Notable contributions include the POMCP and POMCPOW algorithms for continuous POMDPs, and open-source frameworks like POMDPs.jl. He has received a NSF CAREER Award (2024) and a NSF Graduate Fellowship (2012). Academic roles include mentoring the AI4ALL program, teaching courses on decision-making under uncertainty, and advising projects at the intersection of robotics and AI. His lab collaborates on applications ranging from weather observation to human-centered autonomy in unmanned systems.

Morteza Lahijanianمشاهده پروفایل

دانشیار

• Control Theory
• Formal Methods
• Robotics
• +۱۰ مورد دیگر

Morteza Lahijanian is an Associate Professor in the Aerospace Engineering Sciences department at the University of Colorado Boulder , with a courtesy appointment in Computer Science. He received his PhD (2013), MS (2009), and BS (2005) in Mechanical Engineering and Bioengineering from Boston University and UC Berkeley, respectively. His research focuses on safe autonomy through correct-by-construction algorithmic approaches, integrating control theory and formal methods to address challenges in robotics, hybrid systems, and human-robot interaction. Education PhD, Mechanical Engineering (Control Theory and Robotics), Boston University, 2013 MS, Mechanical Engineering (Control Theory and Robotics), Boston University, 2009 BS, Bioengineering, University of California, Berkeley, 2005 Lahijanian leads the ARIA Systems Group , which develops computational frameworks for reliable and intelligent autonomy. His work emphasizes stochastic systems , temporal logic , and multi-agent planning , with applications in autonomous vehicles and safety-critical robotics. Recent research trends include Bayesian verification, deep reinforcement learning, and polynomial barrier function analysis for uncertain environments. His students, including Anne Theurkauf, Justin Kottinger, and Kandai Watanabe, have contributed to advancements in motion planning, strategy synthesis, and stochastic control. Lahijanian's group has published extensively at top venues like IEEE CDC, ICRA, and NeurIPS, though no specific scientific awards are highlighted in the provided texts.

Shail Jadavمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Nonlinear Control
• Human-Robot Interaction
• +۳ مورد دیگر

Shail Jadav is a Postdoctoral Research Fellow at TU Wien (Technical University of Vienna), working under Prof. Dongheui Lee. His research focuses on advancing safe and efficient human-robot collaboration through robotics and control theory, emphasizing nonlinear control and robot learning for manipulators and grasping systems. He holds a Ph.D. in Mechanical Engineering from IIT Gandhinagar, where he developed human-inspired learning controllers under Prof. Harish PM. His work has been recognized with awards including the IIT Gandhinagar Gold Medal and grants like the DST NIDHI PRAYAS. He has conducted research at TU Wien and the University of Texas at Austin, contributing to shared autonomy and gait training devices. Shail's research spans multimodal datasets for robotic assembly, variable impedance control, and medical robotics applications. His recent work includes the REASSEMBLE dataset and studies on torque reduction in manipulators.

Yvan Petillotمشاهده پروفایل

استاد

• Marine Robotics
• Autonomous Systems
• Sensor Processing
• +۴ مورد دیگر

Yvan Petillot is a Professor of Robotics and Autonomous Systems at Heriot-Watt University, co-academic lead of the National Robotarium, and chair of Robotics at the Scottish Research Partnership in Engineering. His expertise spans marine robotics, autonomous systems, sensor fusion, and subsea domain control. He leads a £3M grant portfolio focused on marine robotics innovations, emphasizing multi-vehicle collaboration and AI-driven autonomy. Petillot co-founded SeeByte Ltd to translate academic research into commercial solutions and pioneered EU robotics competitions fostering talent. His research emphasizes underwater robotics, including navigation, perception, and intervention in hazardous environments. Notable achievements include developing advanced underwater imaging techniques, reinforcement learning platforms (e.g., MarineGym), and frameworks for digital twins in teleoperation. He has received the Royal Society Industry Fellowship (2013) and was part of the 2022 Research Team of the Year award. Key technical contributions include synthetic aperture sonar systems, underwater SLAM (Simultaneous Localization and Mapping), and control strategies for vehicle-manipulator systems. His work addresses challenges in autonomous exploration, environmental monitoring, and safe human-robot collaboration in marine and industrial settings.

Tamás Molnárمشاهده پروفایل

استادیار

• Nonlinear Dynamics and Control
• Safety-Critical Control
• Time Delay Systems
• +۳ مورد دیگر

Dr. Tamás Molnár is an Assistant Professor of Mechanical Engineering at Wichita State University (since Fall 2023), leading the SANDy (Safe Autonomy & Nonlinear Dynamics) Lab. His expertise spans nonlinear dynamics and control, safety-critical systems, and time delay systems, with applications in connected automated vehicles, robotic systems, and autonomous systems. His research emphasizes ensuring safety while optimizing performance through theoretical analysis, simulations, and experiments. Dr. Molnár holds a Ph.D. (2018) and M.Sc. (2015) in Mechanical Engineering, and a B.Sc. (2013) in Mechatronics Engineering from Budapest University of Technology and Economics. He completed postdoctoral work at Caltech (2020–2023) and the University of Michigan, Ann Arbor (2018–2020). His lab focuses on advancing autonomy and safety in dynamic systems, including robotic inspection, autonomous vehicle coordination, and safe human-robot collaboration. Current advisees include PhD students Laszlo Gacsi (2024) and Shaibal Das (2025). Prospective students are encouraged to submit interest via a dedicated form. His work has been supported by initiatives like the Kansas NASA EPSCoR Partnership Development Grant, involving collaborations with NASA JPL. Key research themes include control barrier functions, traffic control via connected vehicles, and experimental validation of safety-critical systems.

• Sociology
• Gender Studies
• Family Dynamics
• +۵ مورد دیگر

Sheila Quaid is a Professor at the University of Sunderland's School of Social Sciences and Law. She holds a PhD from the same institution (2008) and has over three decades of academic contribution in sociology, gender studies, and social policy. Her research focuses on family dynamics, criminal justice, queer parenting, and pedagogical innovation. She has authored/co-authored over 40 publications, including books like Negotiating Families and Personal Lives in the 21st Century (2021) and articles on topics such as classroom pedagogy, austerity's impact on mothering, and lesbian parental identities. PhD: University of Sunderland, 2008 Key roles: Researcher, Author, Conference Presenter Her work bridges sociological theory with practice, emphasizing interdisciplinary methods and visual research. Recent projects include evaluating the Critical Care Garden at James Cook University Hospital (2024) and analyzing 'safe space' dynamics in higher education classrooms (2023). She frequently presents at conferences like the British Sociological Association Annual Conference and contributes to policy briefs on social issues. Her research interests span criminal justice reform, LGBTQ+ family structures, and the sociological implications of austerity policies. She advocates for discomforting pedagogical approaches to foster critical thinking in social sciences education.

Karen Leungمشاهده پروفایل

استادیار

• Autonomous Systems
• Robotics
• Control Systems
• +۳ مورد دیگر

Karen Leung is an Assistant Professor in the Department of Aeronautics & Astronautics at the University of Washington (UW), where she directs the Control and Trustworthy Robotics Lab (CTRL). She concurrently holds a partial research appointment at NVIDIA Research. Her work focuses on developing safe and trustworthy autonomous systems, particularly in human-robot interaction and safety-critical environments. Leung is the recipient of the Juris Vagners and Linda Christianson Endowed Faculty Fellowship, established to support female faculty in controls-related research. Education: Ph.D. and M.S. in Aeronautics & Astronautics, Stanford University B.Eng. in Aeronautical (Space) Engineering, University of Sydney B.S. in Mathematics (Advanced), University of Sydney Research Interests: Leung’s research bridges control systems, robotics, and machine learning to ensure human-centric autonomy. Key areas include trajectory optimization, formal safety specifications (e.g., Signal Temporal Logic), and proactive planning for robots interacting with humans. She emphasizes practical applications like disaster response drones and ethical responsibility allocation in multi-agent systems. Her labs integrate theoretical and hardware experimentation, reflecting her commitment to real-world systems. Articles Trends: Her recent publications highlight advancements in safety-critical autonomous systems, leveraging formal methods and machine learning. Topics include perception safety zones, differentiable logic specifications, and trust-building in human-robot collaboration. Work spans aerospace robotics, urban driving scenarios, and interpretable trajectory prediction. Awards: UW + Amazon Science Hub Faculty Research Award William F. Ballhaus Prize (Best Ph.D. Thesis) Qualcomm Innovation Fellowship (US) Outstanding Undergraduate Research Mentor Award (2024) Advising & Grants: Leung advises projects in controls and robotics, with contributions to labs funded by Boeing and the NSF. Her grants support initiatives like information-aware guidance systems and hazard-aware landing optimization (HALO). She actively advocates for female representation in engineering, aligning with the fellowship’s mission. Labs: Her labs, CTRL and AFSL, emphasize hardware-software integration. AFSL explores disaster-response drones, while CTRL focuses on safety and trustworthiness through control algorithms and human-centered design.

• Robotics
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Nguyen Tran is a Doctoral Researcher affiliated with the School of Business and the Department of Information and Service Management . Their work focuses on advancing robotic grasping and manipulation techniques through data-driven and physics-based approaches. Research Interests: Robotics, Soft Robotics, Machine Learning, Human-Robot Interaction, Haptics, and physical property modeling for robotic systems. Recent Work: Developments in deformable object manipulation, 6-DOF grasp sampling, and multi-fingered hand designs inspired by human anatomy. Technical Contributions: Novel algorithms like SPONGE for contact prediction, force control systems for safe grasping, and simulation-based quality metrics for deformable object interactions.

Jayaranjani Suthaمشاهده پروفایل

مدرس

• Management
• Human Resource Management
• Organizational Behavior
• +۵ مورد دیگر

Jayaranjani Sutha is a Lecturer in the Department of Management at Macquarie Business School, Macquarie University. She holds a PhD in Business Administration from the University of Sri Jayewardenepura (2016), an MBA from Eastern University Sri Lanka (2012), and a Bachelor's in Business Administration from the same university (2005). She also serves as Academic Manager and Learning Skills Advisor at Swinburne University of Technology since January 2023. Her research focuses on Human Resource Management, organizational learning behaviors, CSR in industries like apparel and hospitality, and education technology. Key areas include voluntary learning behavior, employee retention strategies, and the impact of internal CSR practices. Education: PhD in Business Admin (2016), University of Sri Jayewardenepura MBA (2012), Eastern University Sri Lanka Bachelor of Business Admin (2005), Eastern University Sri Lanka Her research interests integrate Sri Lankan industrial contexts with global management theories. Notable work includes studies on green supply chain management in apparel sectors and technology facilitation in higher education. She has led consultancy projects on labor migration, area development programs, and empowerment initiatives in Sri Lanka. Recent articles highlight her exploration of equity theory in adult learning and the role of e-HRM practices in organizational agility. She has been recognized with awards for HRM excellence (2020) and teaching (2023). Grants/Projects: 2017: Baseline Survey for MJF Charitable Foundation 2018: Safe Labour Migration Project Evaluation 2020: World Vision Lanka Phase 3 Evaluation Her work emphasizes practical solutions for Sri Lankan industries, focusing on workforce development, sustainable practices, and educational innovation.

Matthew Zagorمشاهده پروفایل

مدرس ارشد

• Refugee Law
• Human Rights
• Constitutional Law
• +۵ مورد دیگر

Matthew Zagor is a Senior Lecturer at the ANU College of Law and Deputy Director of the National Europe Centre. He holds a BA (Hons) in Religious Studies and Social Anthropology from SOAS (University of London) and an LLB from UNSW. His career spans legal practice with Amnesty International, migration policy roles in Australian government agencies, and academic research. His teaching focuses on public law, refugee law, human rights, environmental law, and comparative constitutional law. Research interests include constitutional patriotism, refugee identity narratives, the legality of migration policies, and judicial rhetoric. Notable works critique ‘safe legal pathways’ frameworks in Europe, analyze Australian refugee resettlement logic, and explore constitutional identity through case law. He has contributed to submissions on citizenship reform, immigration detention, and disability rights in migration law. Education: BA (Hons) London; LLB UNSW; DipLP Professional Experience: Amnesty International (India desk), Commonwealth Legal Aid Commission, Australian Greenhouse Office Research Groups: Leader of Law, Governance & Institutions; Researcher in Climate Economics & Policy Recent publications (2024) challenge colonial frameworks in European migration interventions, recenter refugee voices in legal discourse, and examine border policy paradoxes. His work bridges legal scholarship with policy advocacy, emphasizing human rights in climate and migration crises.

Eric Nalisnickمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Probabilistic Modeling
• +۵ مورد دیگر

Eric Nalisnick is an Assistant Professor in the Department of Computer Science at Johns Hopkins University. He holds affiliations with the Institute for Assured Autonomy, Mathematical Institute for Data Science, and Data Science and AI Institute. His research focuses on developing safe and robust intelligent systems through probabilistic modeling and computational statistics, with applications in healthcare, online content moderation, and sign language processing. His work emphasizes human-centered design, exploring how to incorporate prior knowledge, detect system failures, and integrate human-machine decision-making. Research Trends: Recent publications highlight advancements in uncertainty quantification (e.g., Lightning UQ Box tool), early-exiting neural networks for risk control, and generative models for symmetry transformations. He also investigates calibration in multi-distribution learning and ethical considerations in hate speech detection systems. Advising & Contributions: Eric mentors a diverse cohort of PhD students and has developed influential open-source tools like Lightning UQ Box and Learning to Defer frameworks. His teaching includes courses on Deep Learning, Human-in-the-Loop Machine Learning, and Bayesian Methods.

Jannicke Rabbenمشاهده پروفایل

پژوهشگر ارشد

• Palliative Care
• Oncology Nursing
• Shared Decision-Making
• +۴ مورد دیگر

Jannicke Rabben is a PhD Research Fellow at the Department of Health and Nursing Science, University of Agder. A qualified nurse with clinical oncology experience, she holds specialist credentials in cancer nursing and a master's in clinical nursing science. Her professional background includes roles as an advisor at the Norwegian Cancer Society and educator in bachelor/master nursing programs. Her research focuses on: Shared decision-making models in palliative cancer care e-Health applications and welfare technology Family caregiver support systems Technology-enhanced nursing education Patient safety and quality improvement Her publications (2015-2025) demonstrate consistent focus on palliative oncology, healthcare communication, and educational innovation. Key themes include qualitative explorations of clinical decision-making, meta-syntheses of pain management, and co-creation of digital learning tools. She contributes to the research group Q-safe: Patient safety and quality in hospitals , developing new master's programs in cancer nursing. No awards or supervised students are documented.

Charlotte Abrahamsenمشاهده پروفایل

دانشیار

• Patient Experience
• Acute Patient Care Pathways
• Healthcare System Organization
• +۵ مورد دیگر

Charlotte Abrahamsen is an Associate Professor at the Institute for Regional Health Research, University of Southern Denmark, with her primary clinical research base at the Research Unit for Orthopaedic Surgery at Lillebælt Hospital in Kolding. She also serves as a Guest Researcher in User Perspectives and Citizen-Oriented Initiatives at SDU's Department of Health Services Research since April 2022. Her academic credentials include a Ph.D. and Cand.scient.san degree. Dr. Abrahamsen's research centers on patient, relative, and clinician perspectives within acute care pathways, with particular emphasis on healthcare system organization and cross-sectoral collaboration. Her work spans multiple orthopaedic conditions including ankle fractures, distal radius fractures, knee fractures, hip fractures, and leg amputations. She employs mixed-methods approaches, combining quantitative and qualitative research methodologies to address complex healthcare delivery challenges. Her fingerprint analysis reveals strong expertise in Health Care Personnel research (100%), Ankle Fracture treatment (77%), Systematic Reviews (62%), Leg Amputation care (62%), Patient Experience (46%), and related orthopaedic specialties. Her publication trends show consistent focus on patient-centered outcomes in orthopaedic care, with recent work examining patient experiences with fracture treatments, developing clinical assessment tools like the WOK score, comparing patient-reported outcome measures, and exploring shared decision-making processes, particularly among elderly patients. This research bridges clinical practice with patient perspectives to drive quality improvement in orthopaedic care pathways. Dr. Abrahamsen actively contributes to the academic community through extensive conference participation (70 activities including 22 conference presentations), peer review services (12 manuscript reviews), and editorial work. She has supervised PhD students and currently leads or participates in 13 research projects, including as Project Manager for the 'Screening for anxiety and depression in patients who have had their leg amputated' initiative. Her collaborative network spans multiple institutions and research areas within orthopaedics and healthcare services research. Her practical impact extends to healthcare system improvements through projects like the 'Safe Journey Program' for amputation patients and implementation of cross-sectoral video meetings in emergency departments. Her media statement 'I am driven by doing good for patients' reflects her patient-centered research philosophy that consistently informs her academic and clinical contributions.

Stephanie Boronمشاهده پروفایل

استادیار بالینی

• Advocacy for Neurodivergent Populations
• Autism
• Childhood Development
• +۵ مورد دیگر

Stephanie Boron serves as a Clinical Assistant Professor in the Department of Communication Sciences & Disorders at the School of Communication. As a dedicated pediatric Speech-Language Pathologist (SLP), she focuses on creating safe, inclusive spaces for neurodivergent clients and their families through neurodiversity-affirming clinical practices. Her research and clinical expertise centers on: Advocacy for Neurodivergent Populations Autism spectrum support Childhood Development and Education frameworks Diversity, Equity and Inclusion implementation Gestalt Language Processing methodologies Language Learning and Processing mechanisms Social Activism and systemic impact Specializing in child-led evaluation and treatment approaches, she champions the principle that disability rights are fundamental human rights, integrating this philosophy into all clinical and educational work. Committed to shaping future clinicians, Boron mentors students to empower client autonomy, drive community-level advocacy, and implement neurodiversity-affirming care models that challenge traditional clinical paradigms.

Adyasha Mohantyمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Autonomous Systems
• +۵ مورد دیگر

Adyasha Mohanty is an Assistant Professor of Engineering at Harvey Mudd College, where she teaches courses such as Introduction to Engineering Design and Manufacturing (E4) and State Estimation for Robotics (E205). She leads the Machine Learning and Autonomy for Diverse Domains Lab, focusing on robotic perception and localization across ground, air, and space platforms. Her work emphasizes safe and reliable autonomy through algorithmic innovation. Her research interests lie at the intersection of robotics and machine learning, particularly in developing robust perception systems for autonomous agents operating in complex environments. She is passionate about mentoring students through teaching, research, and Clinic projects, and values a dynamic academic environment that encourages pedagogical and research risk-taking. While no publications are listed in the provided text, her research direction suggests strong engagement with algorithm development for autonomous systems, with potential applications in aerospace, terrestrial robotics, and intelligent navigation. Her lab likely involves interdisciplinary collaboration across engineering and computer science domains. No scientific awards mentioned in the source text. She mentors students through classroom instruction, research supervision, and participation in Harvey Mudd's Clinic program, which connects student teams with real-world engineering challenges. Though specific grants are not listed, her lab activities suggest active pursuit of research funding to support her work in machine learning and robotics. Adyasha leads the Machine Learning and Autonomy for Diverse Domains Lab at Harvey Mudd College, where she and her students develop algorithms for safe and reliable operation of autonomous robots in diverse environments including ground, aerial, and space domains.