جستجوی استاد راهنمای دانشگاهی

Dr Declan Humphreys is a Lecturer in Cyber Security at the School of Science, Technology and Engineering at the University of the Sunshine Coast. He coordinates courses on ethics in cyber security, covering topics such as surveillance, disinformation, ethical design, and corporate responsibility. His research explores the intersection of artificial intelligence, ethics, and societal impact, with a focus on epistemic harms, AI replicas of deceased individuals, and algorithmic market risks. Research Focus: Ethics in AI development and deployment Cyber security risks of generative AI Philosophical implications of digital afterlife technologies Ethical challenges in reinforcement learning and sycophantic AI Critical analysis of pricing algorithms Scientific Awards: Associate Fellow of the Higher Education Academy (AFHEA) Professional Memberships: Australasian Association of Philosophy (AAP) Teaching Areas: Ethics in Cyber Security Artificial Intelligence Technological Ethics Program Coordination for Bachelor of Information and Communications Technology Research Projects: He supervises HDR and Honours students in projects related to ethics in AI, societal risks of disinformation, AI modeling for moral decisions, and cyber security protection for NGOs. Labs & Teams: Dr Humphreys contributes to the Healthy Ageing Research Cluster and participates in the MindSET-do project, which engages young students in technology and programming education.

• Ethics in Artificial Intelligence
• Cyber Security
• Technological Ethics
• +۴ مورد دیگر

Fahad Khan is a Researcher at Cranfield University's Centre for Robotics and Assembly, part of the Aerospace department. He holds an MSc in Robotics Engineering (Cranfield University) and a B.Tech in Mechatronics (NMIMS University). Currently employed full-time as a Research Assistant and part-time PhD candidate, his work focuses on intelligent robotics systems, human-robot collaboration (HRC), and adaptive automation technologies. Education: MSc Robotics Engineering, Cranfield University (UK) B.Tech Mechatronics Engineering, NMIMS University (India) Current Projects: Smart Cobotics (ISCF) project: Developing adaptive HRC systems using physiological and contextual data. EPSRC-funded research on facial emotion recognition for manufacturing robots. Research interests include IoT integration, motion control, and machine learning applications in robotics. He has published on HRC gesture design, emotion recognition systems, and ROS 2-based industrial frameworks. Awards: None explicitly listed. Grants: Supported by Engineering and Physical Sciences Research Council (EPSRC) through the Made Smarter Innovation project. Technical expertise spans ROS, OpenCV, MATLAB, and PLC programming. His LinkedIn and GitHub profiles showcase contributions to robotic systems and machine learning projects.

• Intelligent Automation
• Human-Robot Collaboration
• Machine Learning
• +۳ مورد دیگر

Dr. Milos Hauskrecht is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information. He holds a PhD from MIT (1997) and an M.Sc. from Slovak Technical University (1988). His research focuses on AI, machine learning, and data mining, with applications in medicine and finance. He leads projects in real-time clinical monitoring, anomaly detection, and time-series analysis of EHR data. He has advised numerous PhD and MS students, including notable alumni now at Amazon, DeepMind, and Microsoft. Research interests include reasoning under uncertainty, optimization, and AI-driven medical decision support. Current grants include NIH funding for AI in renal therapy and clinical monitoring. He has published widely in top venues like ICML, NeurIPS, and journals such as Artificial Intelligence in Medicine. His work on conditional outlier detection earned the Homer Warner Award (AMIA 2010). He teaches machine learning and advises on interdisciplinary AI projects.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Rebecca Dziedzic is an Assistant Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. Her research focuses on asset management, water system sustainability, and infrastructure resilience. She holds a PhD in Civil and Environmental Engineering from the University of Toronto. Dr. Dziedzic's work integrates machine learning, data science, and policy analysis to address challenges in urban infrastructure systems. Her research explores topics such as water distribution network optimization, climate change adaptation in infrastructure, and circular economy strategies for construction. Recent projects include predicting water main breaks using multivariate models, developing frameworks for energy-efficient pump operation, and assessing carbon footprints in industrial facilities. Dr. Dziedzic supervises graduate students in Civil Engineering (MASc/PhD) and maintains an active research group through the UrbanLinks initiative. Her work has been published in over 30 peer-reviewed articles, with a strong focus on smart city technologies, disaster risk reduction, and sustainable infrastructure design.

• Asset Management
• Water System Sustainability
• Infrastructure Resilience
• +۵ مورد دیگر

Dr. Sarah Atkins is a Lecturer in the Department of Communication and Culture at Aston University and a Research Fellow at the Aston Institute for Forensic Linguistics. She holds a PhD in Applied Linguistics from the University of Nottingham and a PGCHE from Aston University. Her affiliations include membership in the British Association for Applied Linguistics (BAAL), International Pragmatics Association (IPrA), and International Association for Forensic and Legal Linguistics (IAFLL). Atkins' research explores: Forensic and legal linguistics, focusing on emergency calls, police interviews, and anonymization ethics Healthcare communication in clinical settings and Schwartz Rounds Applied linguistic ethics and professional practice Multimodal analysis of institutional interactions Her publications demonstrate strong methodological diversity, spanning conversation analysis, corpus linguistics, and multimodal approaches. Dominant themes include ethical frameworks in linguistic research, crisis communication dynamics, and healthcare team interactions. Recent work increasingly addresses technological applications like AI system co-design and forensic databank development. Scientific Awards: Poster Prize, Royal College of General Practitioners (2018) Knowledge Exchange and Impact Award (2016) Atkins mentors PhD students researching police-suspect interactions and supervises collaborative projects including the ID2 data anonymization initiative and Crimes in Action 999 call analysis. She secured £120k in research funding for projects with Birmingham Community Healthcare NHS Foundation Trust. She directs fieldwork at the Aston Institute for Forensic Linguistics and collaborates on the Forensic Linguistic Databank (FoLD) and EXCROW extortion corpus projects. Her lab develops training interventions for healthcare professionals and police services.

• Forensic Linguistics
• Applied Linguistics
• Discourse Analysis
• +۴ مورد دیگر

Professor Gregoris Mentzas is a faculty member at the National Technical University of Athens, School of Electrical and Computer Engineering, where he directs the Division of Industrial Electric Devices and Decision Systems. His research focuses on AI-enabled decision systems, knowledge management, and semantic technologies applied to digital enterprises and e-government. With over 350 publications, he ranks among the top 2% most cited scientists globally. Research Interests: Artificial intelligence for decision augmentation, big data analytics in personalized health and smart mobility, semantic web technologies, and industrial internet of things. Current projects investigate trustworthy AI frameworks and hybrid intelligence systems for Industry 5.0. Teaching: Leads courses in Digital Enterprise Management, Strategic Information Systems, and Project Management at undergraduate and postgraduate levels, incorporating industry case studies and experiential learning approaches. Awards & Leadership: Top 2% Highly Cited Scientist (PLOS Biology 2021) 5 Best Paper Awards in international conferences Director of Information Management Unit (1997-present) Board Member of Institute of Communication and Computer Systems (2006-2009) Projects & Funding: Secured over €18 million in research grants through 60+ European projects with industry partners including SAP, IBM, and Siemens. Research outcomes led to three technology spin-offs.

• Artificial Intelligence
• Decision Support Systems
• Knowledge Management
• +۳ مورد دیگر

Seth Polsley is an Assistant Professor in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska-Lincoln. His academic home resides in the School of Computing, where he bridges intelligent systems design with human-computer interaction to enhance educational and universal computing experiences. BS in Computer Engineering (2014) - University of Kansas MS (2017) & PhD (2023) in Computer Engineering - Texas A&M University His research explores: Intelligent tutoring systems Brain-computer interfaces Accessible educational technologies Machine learning for child development assessment Sketch recognition in STEM learning Recent publications demonstrate expertise in tactile learning interfaces, sketch-based developmental assessment, and equitable AI systems. Key disciplines span Human-Computer Interaction, Machine Learning, and Educational Technology. Scientific recognition includes: James Blackiston Memorial Graduate Fellowship Sigma Xi Research Award With professional experience at Lexmark International and MIT Lincoln Lab, Polsley combines practical engineering with educational innovation. His work on sketch-based tools and wearable systems addresses both technical and societal challenges in computing.

• Human-Computer Interaction
• Intelligent Systems
• Educational Technology
• +۴ مورد دیگر

Dr. Liangping Li is an Associate Professor in the Department of Geology and Geological Engineering at South Dakota School of Mines & Technology. He holds a Ph.D. from Technical University of Valencia and an M.S. from China University of Geoscience, with expertise in hydrogeology, groundwater modeling, and geothermal energy systems. Education: M.S., China University of Geoscience; Ph.D., Technical University of Valencia His research focuses on integrating machine learning with groundwater modeling, data assimilation, geostatistics, and optimization of geothermal energy systems. He has pioneered methods combining generative adversarial networks (GANs) and ensemble smoother techniques for inverse modeling in complex aquifers. Recent publications highlight his work on extremal optimization for well placement, progressive growing GANs for facies modeling, and stochastic inversion of fracture networks. His research trends emphasize computational innovation in subsurface flow simulation and sustainable groundwater management. Scientific Awards: NSF RII Track-4 Grant, NSF REU Site Grant, BLM Environmental Monitoring Grant, and appointments as Associate Editor for Advances in Water Resources and Mathematical Geosciences . Dr. Li teaches courses in groundwater engineering, statistical methods, and environmental field camp, while mentoring graduate and undergraduate researchers in subsurface energy and water resource projects.

• Hydrogeology
• Groundwater Modeling
• Data Assimilation
• +۵ مورد دیگر

Josephine V. Carstensen is the Gilbert W. Winslow Career Development Associate Professor in the Department of Civil and Environmental Engineering at MIT. She holds a B.Sc. and M.Sc. from the Technical University of Denmark, and an M.S.E. and Ph.D. from Johns Hopkins University. Her research focuses on leveraging digitalization and AI to revolutionize structural design, particularly in topology optimization and sustainable materials engineering. She teaches Senior Civil and Environmental Engineering Design (1.013) and Topology Optimization of Structures (1.583). Her lab, the Carstensen Group, develops algorithms for human-AI collaboration in design, emphasizing manufacturability and sustainability. Notable achievements include NSF CAREER Award (2021), CEE Maseeh Teaching Award (2021), and Denmark-America Fellowship (2012). Recent work includes minimizing carbon footprints in truss designs and automating hyperparameter tuning in topology optimization. Her research spans structural mechanics, material architecture, and carbon reduction strategies. Current projects explore AI-driven design frameworks, reclaimed material utilization, and timber-steel hybrid systems. The lab’s experimental work includes 3D-printed concrete beams and waterjet-cut steel reinforcement testing. Key Research Themes: Sustainable infrastructure, topology optimization, embodied carbon reduction, AI-human collaboration Affiliations: MIT Sustainable Materials & Infrastructure Faculty, MIT Department of Civil and Environmental Engineering Lab Focus: Interdisciplinary engineering solutions for next-generation structural systems

• Structural Design Optimization
• Sustainable Materials Engineering
• Carbon Emissions Reduction
• +۴ مورد دیگر

Douglas H Fisher is an Associate Professor of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on artificial intelligence, particularly machine learning, and computational sustainability. He holds a Ph.D., M.S., and B.S. in Computer Science from the University of California - Irvine. His work bridges AI with societal challenges, emphasizing sustainability, education technology, and cognitive modeling. Notable areas include integrating sustainability into computing curricula, leveraging AI for peer review systems (pReview), and exploring bias mitigation in neural networks. He has contributed to foundational machine learning techniques, such as rule induction for medical data analysis and decision tree optimization. Fisher's research spans interdisciplinary applications: from geospatial water resource modeling to MOOCs' social incentives. His educational contributions include blended learning frameworks and open educational resources advocacy. He has authored over 100 publications across AI, sustainability, and education, reflecting a commitment to both technical innovation and societal impact.

• Artificial Intelligence
• Machine Learning
• Computational Sustainability
• +۳ مورد دیگر

Dr. Gabor Karsai is a Distinguished Professor of Computer Science and Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He also serves as Senior Research Scientist at the Institute for Software-Integrated Systems (ISIS), where he contributes to the Executive Council. With over 30 years in software engineering, his research focuses on embedded systems, model-driven development, resilient software platforms, and AI-driven autonomous systems assurance. He holds a PhD from Vanderbilt and degrees from the Technical University of Budapest. Education: Ph.D. in Electrical and Computer Engineering, Vanderbilt University Dr.Tech. in Computer Engineering, Technical University of Budapest M.S. and B.S. in Electrical Engineering, Technical University of Budapest Affiliations: Co-Associate Chair for Computer Engineering External Member of the Hungarian Academy of Sciences His research interests span model-integrated computing , autonomous systems assurance , and radiation-hardened systems . Recent work emphasizes AI integration into engineered systems and radiation effects mitigation for space applications. He has led major projects on distributed control for smart grids and resilient CPS architectures. Over 200 peer-reviewed publications and four patents reflect his contributions to software engineering and systems integration. Awards & Recognition: External Membership in Hungarian Academy of Sciences Leadership roles in ISIS and Vanderbilt's academic governance Advisees & Grants: While no student list is provided, his projects involve collaborative teams across academia and industry. Major sponsors include NSF, NASA, and DARPA. Current work includes the ALC (Assurance-based Learning-enabled CPS) and MIDAS (Model-based Intent-Driven Adaptive Software) initiatives. Labs & Platforms: Co-developer of the RIAPS distributed CPS platform and the SEAM assurance modeling framework. His labs focus on cyber-physical system design, radiation effects analysis, and autonomous system reliability.

• Model-Driven Software Engineering
• Embedded Systems
• Cyber-Physical Systems
• +۶ مورد دیگر

Nilanjan Sarkar is the Vice Dean and Senior Associate Dean for Faculty Affairs at Vanderbilt University's School of Engineering, holding the David K. Wilson Professorship in Engineering. He is a Professor in Mechanical Engineering, Computer Engineering, and Computer Science. His research focuses on intelligent systems for human interaction, including robotics, virtual/augmented reality, and assistive technologies for neurodevelopmental disorders and aging populations. Education: PhD (Mechanical Engineering, University of Pennsylvania), ME (Indian Institute of Science), BE (Indian Institute of Engineering Science and Technology, Shibpur). Research interests span human-robot interaction, sensor fusion, and rehabilitation engineering. His lab develops systems for autism intervention, stroke rehabilitation, and elderly engagement through socially assistive robotics and VR/AR. Notable projects include robot-mediated therapy for children and AR telepresence systems for long-term care facilities. Labs/Teams: Robotics and Autonomous Systems Laboratory. Key contributions include CoMove, RASSLE, and the Career Interview Readiness in VR platform. His work emphasizes participatory design with end-users for ethical and inclusive technology.

• Human-Robot Interaction
• Human-Computer Interaction
• Robotics
• +۶ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis. His research focuses on computational social science, exploring governance institutions and complex human decision-making through computational methods, large datasets, and web-based experiments. He examines online communities as models of governance, with expertise in computational approaches to institutional design and strategic behavior analysis. Education: Ph.D. in Cognitive Science and Informatics, Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey's work integrates data science, lab experiments, and computational modeling to study human organizations and communication. Key areas include governance technology, cognitive mechanisms of social outcomes, and institutional evolution. His projects span online games, sports, and open-source software communities, emphasizing topics like collective action, self-governance, and cooperative behavior. Publications & Funding: His work appears in journals like PNAS and Nature Scientific Reports, and has been funded by NSF, NASA, and the Ford Foundation. He contributes to the Ostrom Workshop at Indiana University and directs the Computational Communication Lab at UC Davis. Teaching: Frey teaches courses on data visualization, simulation methods, and online data analysis in the social sciences.

• Computational Social Science
• Governance Institutions
• Online Communities
• +۳ مورد دیگر

James Bellingham is the Bloomberg Distinguished Professor of exploration robotics at Johns Hopkins University, holding primary appointments in the Department of Mechanical Engineering and the Applied Physics Laboratory's Asymmetric Operations Sector. He serves as executive director of the Johns Hopkins Institute for Assured Autonomy and is a member of the Data Science and AI Institute. With over 30 years of expertise, Bellingham pioneered small, high-performance autonomous underwater vehicles (AUVs), leading global expeditions across polar and oceanic regions. His work bridges robotics innovation with environmental monitoring, including oil spill response, Arctic exploration, and NASA collaborations for extraterrestrial oceanic exploration. Bellingham's educational background includes BS, MS, and PhD in physics from MIT. He previously led Woods Hole Oceanographic Institution's Marine Robotics Consortium, creating advanced prototyping facilities and fostering entrepreneurship in robotics. His leadership roles span institutional boards such as the Naval Studies Board and OceanX. His research focuses on advancing AUV capabilities for adaptive sampling, fault detection, and interdisciplinary oceanography. Over 50 publications demonstrate his technical contributions, including AUV design, environmental hazard mapping, and collaborative robotic systems. Awards include National Academy of Engineering induction and military honors for public service.

• Autonomous Underwater Vehicles (AUVs)
• Marine Robotics
• Ocean Observing Systems
• +۳ مورد دیگر

Alma Leora Culén is a Professor in the Design of Information Systems at the Department of Informatics, University of Oslo, part of the Faculty of Mathematics and Natural Sciences. She holds a prominent role in advancing sustainable interaction design, research through design methodologies, and transformative design practices focused on societal transitions. Her academic journey includes contributions to HCI education reform, emphasizing ethical and sustainable design principles. Culén has pioneered projects like 'Plurishop' exploring sustainable smartphone alternatives and 'Transition Design' approaches for mitigating democratic erosion. She actively engages in interdisciplinary collaborations through research groups such as DESIGN and Design4Dem. Key research interests span sustainable technology, participatory design processes, and leveraging AI for complex design mediation. Her work often intersects with societal challenges like climate action, youth engagement in socio-technical systems, and rural sustainability initiatives. Culén's pedagogical innovations include intensive design courses and speculative installations for civic education. She leads projects funded by the Norwegian Research Council, focusing on sustainable consumption patterns and MaaS solutions for rural areas. Notable collaborations include international design research societies and EU-funded sustainability initiatives. Her lab activities emphasize participatory prototyping and transition design frameworks, with a focus on vulnerable populations such as chronically ill youth and elderly users. Culén's work bridges academic research with real-world impact through partnerships with libraries, municipalities, and tech industries.

• Interaction Design
• Sustainable Interaction Design
• Research through Design
• +۳ مورد دیگر