جستجوی استاد راهنمای دانشگاهی

Amol Maliمشاهده پروفایل

دانشیار

• Data Science
• Internet of Things
• Artificial Intelligence
• +۷ مورد دیگر

Amol Mali is an Associate Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee, currently on sabbatical for Spring 2025. His research bridges theoretical AI with practical applications across diverse domains, leveraging his interdisciplinary background spanning computer science and mechanical engineering. Education PhD, Computer Science, Arizona State University, Tempe, May 1999 MS, Mechanical Engineering with specialization in Robotics, Indian Institute of Technology, Kanpur, India, June 1994 BS, Engineering in Mechanical Engineering, Victoria Jubilee Technical Institute (VJTI), University of Bombay, India, July 1991 Research Interests Dr. Mali's work spans Data Science , Internet of Things , and Artificial Intelligence with specialized focus on Planning , Autonomous Agents , and Computer Game Design . His research extends to Robot Motion Planning and AI in Healthcare , while actively addressing Ethics, Diversity, Inclusion, and Equity implications in technology development and Higher Education practices. Publication Trends His 2016-2023 publications reveal a strong emphasis on AI applications in gaming (machine learning, motion planning, symbolic systems), health-focused AI/IoT implementations, and human-computer interaction innovations like ergonomic keyboard design. Work consistently connects theoretical AI frameworks to real-world problem-solving across healthcare, education, and accessibility domains. Scientific Awards No scientific awards were mentioned in the provided information. Advising and Grants The available documentation does not specify doctoral advisees, grant funding, or research team leadership roles. Labs and Teams No dedicated research laboratories or collaborative teams are referenced in the source material.

Alice Wangمشاهده پروفایل

استادیار

• Low-Power Electronics
• Energy Harvesting
• Circuit Design
• +۳ مورد دیگر

Alice Wang is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. Her research focuses on low-power electronics, energy harvesting systems, and advanced circuit design for mobile and embedded applications. She has contributed to innovations in ultra-low-power (ULP) SoCs, wireless sensor networks, and energy-efficient processor architectures. Key research interests include optimizing energy consumption in 3D-ICs, developing self-powered systems using multimodal energy harvesting, and improving thermal and power management in integrated circuits. Her work spans topics such as low-voltage circuit design, wake-up receiver architectures, and adaptive voltage scaling techniques for mobile processors. Her publications highlight advancements in low-power radio design, thermal-aware system architectures, and hardware-software co-optimization strategies. Recent work emphasizes industrial IoT applications, machine health monitoring systems, and energy-efficient embedded computing solutions. No academic awards or grants are explicitly mentioned in the provided texts. She has advised no students listed in the current data. Her research often intersects with industry challenges in battery-operated devices and scalable microsensor networks.

Alexander Rathمشاهده پروفایل

پژوهشگر

• Computer Science
• Optics
• Rendering
• +۴ مورد دیگر

Alexander Rath is a researcher at Saarland University's Computer Graphics Lab within the College of Informatics. His work focuses on advanced rendering techniques and light transport simulation. Key research areas include: Importance sampling in computer graphics Wave optics modeling Lens design optimization Machine learning for rendering Path guiding algorithms Recent publications address: 2024: MARS algorithm for multi-sample allocation 2024: Neural BVH data structures 2023: Focal point identification in rendering 2022: EARS efficiency-aware sampling 2020: Variance-aware path guiding Additional contributions include open-source implementations on GitHub with MIT-licensed C++ code for focal path tracing experiments.

• Game-Based Learning
• Educational Technology
• Participatory Design
• +۳ مورد دیگر

Samantha Clarke is Assistant Professor of Design Futures in the Research Centre for Arts, Memory and Communities at Coventry University. Her research focuses on game-based learning interventions for healthcare education, professional development, and community engagement. Key research areas include: Co-creative game design methodologies Gamification of educational processes Healthcare curriculum development Participatory design frameworks Educational escape rooms Publications emphasize practical applications in healthcare education (4/10), game design pedagogy (3/10), and accessibility (2/10). Current projects investigate gamified stability interventions for children and digital tools for senior mobility. Honors include Gamification Award for Education (2019) and Outstanding Gamification Research Award (2018) for innovative educational approaches.

Sube Banerjeeمشاهده پروفایل

استاد

• Dementia Research
• Quality of Life Assessment
• Healthcare Evaluation
• +۵ مورد دیگر

Professor Sube Banerjee is an Honorary Professor and Executive Dean of the Faculty of Health at the University of Plymouth, overseeing Medicine, Dentistry, and Human Sciences. A globally recognized expert in dementia care, he led the UK National Dementia Strategy and focuses on quality of life assessment, treatment evaluation, and public health policy. His research spans cross-cultural dementia awareness, neuroimaging advancements for neurological disorders, and innovative care models involving physical activity and music therapy. Key collaborations include studies on Parkinson’s disease diagnostics and dementia care dyads. His work aligns with UN Sustainable Development Goals related to health equity and well-being. Despite no listed awards in the provided text, his contributions to dementia policy and research have significant international impact. Research activities emphasize interdisciplinary approaches, combining clinical, technological, and sociocultural perspectives. His team explores music therapy applications, AI-driven diagnostics, and caregiver-patient dynamics through case studies and cross-sectional analyses.

Mark Yampolskiyمشاهده پروفایل

دانشیار

• Cybersecurity
• Additive Manufacturing Security
• Internet of Things (IoT)
• +۴ مورد دیگر

Mark Yampolskiy is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on cybersecurity in additive manufacturing (AM), internet of things (IoT), and computer networks. Yampolskiy leads efforts to secure AM processes against cyber-physical attacks, including sabotage and data theft. He has received prestigious awards such as the ASTM International Additive Manufacturing Young Professor Award and led high-profile grants totaling over $685,000. Education: Ph.D. in Computer Science, Ludwig Maximilian University M.S. in Computer Science, Technical University Munich B.S. in Applied Mathematics, Moscow State Institute of Radiotechnics, Electronics and Automation Research Interests: Cybersecurity of digital & additive manufacturing IoT security and network defense Cyber-physical system vulnerabilities 3D printing integrity and sabotage detection Key Contributions: Developed frameworks for AM security awareness and threat modeling Pioneered studies on side-channel attacks in manufacturing Co-organized ASTM AM Security Working Groups and AMSec workshops Advocated for legal standards in AM intellectual property protection Awards: ASTM International Additive Manufacturing Young Professor Award America Makes Award ($260k+ for cybersecurity training) NSF Grant ($425k for sabotage prevention research) Labs/Initiatives: Active in Auburn's National Center for Additive Manufacturing Excellence (NCAME), McCrary Institute for Cyber and Critical Infrastructure Security.

Amir Masoumzadehمشاهده پروفایل

دانشیار

• Information Security
• Privacy Protection
• Trust Management
• +۱۳ مورد دیگر

Dr. Amir Masoumzadeh is an Associate Professor in the Department of Computer Science at the University at Albany, State University of New York, where he co-directs the Albany Lab for Privacy and Security (ALPS). His academic journey includes a PhD in Information Science from the University of Pittsburgh (2014). Dr. Masoumzadeh's research focuses on information security, privacy, and trust in modern computing systems. His work centers on developing theoretical frameworks and practical mechanisms for protecting information in complex environments such as online social networks and enabling secure data sharing while preserving user privacy. His expertise spans formal methods, knowledge representation and reasoning, data mining, and information system design, with specific applications in access control policy specification, verification, analysis, and testing. His research has significant implications for browser security, privacy-preserving data mining of complex graph structures, and privacy-enhancing technologies in web and location-based services. Analysis of Dr. Masoumzadeh's publication record reveals a consistent focus on access control policy modeling, verification, and learning from black-box systems. His work demonstrates a progression from foundational research on privacy in social networks and location-based services toward more sophisticated approaches involving machine learning for policy discovery and verification. The emergence of social engineering attack countermeasures in his recent work represents an important expansion of his research into human-centered security challenges. NSF CAREER Award for "Black-Box Learning of Authorization Policies" DARPA Funding for "PANACEA: Personalized AutoNomous Agents Countering Social Engineering Attacks" NSF Student Travel Grants for IEEE TPS conferences Dr. Masoumzadeh actively mentors a diverse group of students, including PhD candidates, undergraduate researchers, and high school interns. His research is supported by substantial external funding from NSF and DARPA, enabling cutting-edge work at the intersection of security, privacy, and machine learning. The Albany Lab for Privacy and Security (ALPS), which he co-directs, serves as a hub for collaborative research on privacy and security challenges in modern computing environments. His projects often involve interdisciplinary teams addressing real-world security problems with both theoretical rigor and practical applicability.

Alix Cageمشاهده پروفایل

مدرس ارشد

• Palaeoceanography
• Marine Palaeoecology
• Geochronology
• +۳ مورد دیگر

Dr. Alix Cage is a Senior Lecturer in Environmental Change at Keele University's School of Life Sciences, where she also serves as Director for PGT Research Programmes. She holds a BSc in Geological Oceanography from Bangor University, an MSc in Quaternary Science from Royal Holloway University, and a PhD in Physical Geography from the University of St Andrews. Her office is located in the William Smith Building (WS1.14). Her research focuses on reconstructing marine environmental changes using multi-proxy approaches with specialties in: High-resolution palaeoceanography of shelf seas Holocene and late-Holocene climate variability Benthic foraminifera as palaeoenvironmental indicators Land-ocean interactions in Arctic environments Geochemical and biological proxy development Recent publications demonstrate strong emphasis on millennial-scale climate variability, Antarctic ice-ocean interactions, and coastal carbon dynamics, with methodologies spanning sedimentology, micropalaeontology, and geochemical analysis. Research consistently addresses climate-ocean connections across the North Atlantic-Arctic domain. She has supervised multiple MSc students investigating palaeoceanography in the Canadian Arctic and Celtic Sea regions. In 2012, she secured a NERC Small Grant as Co-Investigator for the 'Millennium' project studying Holocene tephra constraints on North Atlantic climate variability.

Scott A. Kuhlمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Immersive Virtual Environments
• +۳ مورد دیگر

Scott A. Kuhl is an Associate Professor of Computer Science at Michigan Technological University, with an affiliated appointment as an Associate Professor in Psychology and Human Factors. He holds a PhD in Computer Science from the University of Utah (2009) and undergraduate degrees in Computer Science and Mathematics from Augsburg University. His research focuses on computer graphics, immersive virtual environments, head-mounted displays (HMDs), and human spatial perception, with an emphasis on improving VR technologies for practical applications. He leads the Husky Game Development Enterprise (HGD), where students create games for business, education, and entertainment, releasing titles on platforms like itch.io. He advises on curriculum development for robotics and automation education, emphasizing open-source tools and industry collaboration. His work is supported by grants such as the NSF-funded Immersive Visualization Studio (CNS-1229297). Dr. Kuhl’s labs include the Immersive Visualization Studio (50-megapixel display with Vicon tracking) and the Virtual Environment Lab (WorldViz PPT tracking, NVIS nVisor ST HMD). He has received awards including the Best Full Paper at VRST 2009 and the Best ATMAE Conference Proceedings Paper in 2016. His research spans human perception in VR, HMD design, and interdisciplinary education. Grants and collaborations include partnerships with industry and academic institutions to enhance robotics education and VR technology. He mentors students in game development, virtual reality research, and perceptual studies, fostering a dynamic research and educational environment at Michigan Tech.

Clara Granell Martorellمشاهده پروفایل

دانشیار

• Complex Networks
• Epidemiology
• Complex Systems
• +۳ مورد دیگر

Clara Granell Martorell is an Associate Professor at Rovira i Virgili University (URV), Tarragona, Spain, affiliated with the Department of Computer Engineering and Mathematics. Her research focuses on complex systems, particularly epidemic spreading on networks, community structure, and neuroscience. She holds a PhD in Complex Networks from URV and has held postdoctoral positions at the University of North Carolina (USA), Universitat de Barcelona, and Universidad de Zaragoza, funded by grants including the Beatriz de Galindo-Júnior program. Education: BSc in Computer Science from URV, MSc in Artificial Intelligence, followed by a PhD in Complex Networks. She returned to URV as an associate professor in 2024 after international postdoctoral research. Her work bridges theoretical and applied aspects of complex systems, with notable contributions to epidemic modeling, network community detection, and neuronal network dynamics. Research Highlights Developed probabilistic discrete-time models for epidemic spreading Explored behavioral responses to disease severity in age-specific populations Investigated functional recovery in damaged neuronal cultures Advanced methods for community detection in evolving networks Awards & Grants Beatriz de Galindo-Júnior Research Grant (201X) Teaching Teaches programming courses for undergraduates and data visualization for master’s students in Computer Science and Mathematics. Current courses include Programació Científica, Fonaments de Programació II, and Data Visualization in the 2024-25 academic year. Labs & Collaborations Member of the Alephsys research group, focusing on interdisciplinary complex systems research. Collaborates internationally with institutions like UNC and UB on network-based epidemiology and neuroscience projects.

Hao Yanمشاهده پروفایل

استاد

• Control Systems
• Model Predictive Control (MPC)
• Stochastic Control
• +۳ مورد دیگر

Prof. Hao Yan is a Professor at the 2nd Physics Institute of the University of Stuttgart, affiliated with Faculty 08. He has been honored with the Humboldt Research Award and is recognized as an International Partner by the Baden-Württemberg Stiftung. His research focuses on advanced control systems, including model predictive control (MPC), stochastic control, optimization, and DNA nanotechnology. Yan's work integrates machine learning and robust methodologies to address challenges in dynamic systems and power electronics. His research interests span control theory applications in electrical engineering, with a particular emphasis on grid-forming converters, frequency stability, and energy systems. He also explores the intersection of nanotechnology and control systems. Recent publications (2018–2025) highlight trends in stochastic MPC, distributionally robust optimization, and learning-based control strategies. Notable contributions include work on tube MPC, intermittent observation handling, and discounted probabilistic constraints in uncertain environments. His research bridges theoretical advancements with practical applications in smart grids and adaptive control systems. Prof. Yan has received prestigious awards including the Humboldt Research Award and international partnerships supporting his research in top-tier institutions. His work is disseminated through leading journals and conferences in control systems and electrical engineering.

Eduardo Castelló Ferrerمشاهده پروفایل

استادیار

• Robotics
• Blockchain Technology
• Swarm Robotics
• +۳ مورد دیگر

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

Toni Manciniمشاهده پروفایل

استاد

• Artificial Intelligence
• Formal Verification
• Model Checking
• +۳ مورد دیگر

Prof. Toni Mancini is Full Professor at the Department of Computer Science, Sapienza University of Rome, where he leads research in artificial intelligence and formal verification methods. His work develops computational approaches for system verification, in silico clinical trials, and optimization of cyber-physical systems. Mancini has secured substantial research funding including EU projects PAEON (model-driven computation of infertility treatments) and SmartHG (energy demand aware services for smart grids). He currently coordinates scientific programs in Rome Technopole's innovation ecosystem and develops AI applications for forensic psychiatry. His teaching includes courses on Artificial Intelligence, Databases, and Formal Methods in AI-Based Systems Engineering. Mancini has supervised numerous PhD students and received the Best Paper Award at ISMIS 2018 for work on network vulnerability analysis.

Lee Airtonمشاهده پروفایل

دانشیار

• Gender and Sexual Diversity
• Teacher Education
• Social Justice Education
• +۳ مورد دیگر

Dr. Lee Airton is an Associate Professor of Gender and Sexuality Studies in Education at Queen's University, where they lead research on gender diversity, human rights policy, and inclusive education. They hold an MA and PhD from York University and serve as Graduate Faculty. Dr. Airton founded significant advocacy initiatives including They Is My Pronoun (2012), the No Big Deal Campaign (2016), and Gegi.ca (2021), a bilingual K-12 self-advocacy resource. Their research focuses on gender and sexual diversity in K-12 education, teacher preparation, anti-racist frameworks, and queer theory methodologies. Recent work examines policy implementation, institutional barriers for gender non-conforming teacher candidates, and quantitative approaches to intersectionality. Publications demonstrate consistent focus on educational equity, with recent articles exploring campus inclusion strategies, teacher education reform, and policy analysis across Canadian educational contexts. Research employs diverse methodologies from action research to philosophical inquiry and policy analysis. Awards include the 2017 Youth Role Model of the Year Award and Ophea's 2025 Award of Distinction for leadership in inclusive education. SSHRC has funded 10+ research grants since 2018. Dr. Airton supervises graduate students, collaborates with school boards nationwide, and leads the Principal’s Action Group on Gender and Sexual Diversity. They have delivered 60+ media commentaries on gender diversity topics.

Xianke Linمشاهده پروفایل

دانشیار

• Energy Storage Systems
• Renewable Energies
• Hybrid Electric Vehicle Design
• +۵ مورد دیگر

Dr. Xianke Lin is an Associate Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University. He holds a PhD from the University of Michigan-Ann Arbor (2014) and a BEng from Zhejiang University (2009). His research focuses on energy storage systems, hybrid vehicle control, and machine learning-based diagnostics for batteries. He serves as Associate Editor for IEEE Transactions on Transportation Electrification and Frontiers in Energy Research. Education: - PhD in Mechanical Engineering, University of Michigan (2014) - BEng in Mechanical Engineering, Zhejiang University (2009) Research Interests: - Electrified mobility systems - Battery modeling and control - Autonomous vehicle safety - Multiscale/multiphysics modeling - Power electronics optimization - Fault diagnosis and prognostics Publications: Dr. Lin's work spans 50+ peer-reviewed articles in top journals like Journal of Power Sources , Applied Energy , and IEEE Transactions . Recent trends show emphasis on: - Battery health-aware control strategies - Machine learning for prognostics - Connected/automated vehicle energy management Labs & Teams: Directs a research group focusing on electrified transportation systems. Offers graduate/undergraduate research opportunities for qualified candidates.