جستجوی استاد راهنمای دانشگاهی

Nina Franzمشاهده پروفایل

پژوهشگر

• Media Theory
• History of Technology
• Military Imaging
• +۵ مورد دیگر

Nina Franz is a Researcher at the Institute of Media Studies, Braunschweig University of Fine Arts, specializing in the Theory and History of Technology. She holds a doctorate in Cultural Studies from Humboldt University of Berlin and has held research positions at Bauhaus University Weimar and Humboldt University Berlin. Her research spans military imaging technologies from early modern period to computer age, climate catastrophe narratives in humanities and contemporary art, history of automation, and critical analysis of technological destruction narratives. She examines how imaging systems mediate power relations in warfare, medicine, and colonial contexts, with particular focus on ultrasound, drone warfare, and military surveillance systems. Her recent publications reveal strong interdisciplinary trends across Media Studies, Cultural History, and Critical Military Studies, with recurring themes of visual epistemology, technological mediation, and the weaponization of perception. Key subfields include drone warfare protocols, medical imaging interfaces, algorithmic control systems, and climate catastrophe representations. Doctoral Scholarship, Gerda Henkel Foundation (2015-2018) As a curator and educator, Franz has organized international conferences including 'Remote Control. Scales of Mediated Intervention' (2017) and co-curated exhibitions like 'A Better Version of You' (2016-2018) with Goethe-Institut Seoul. Her current teaching includes courses on military imaging and rearmament discourses, with mandatory participation in the 'Fascism and Mediality' workshop (2025). She regularly presents at academic conferences on military imaging technologies, including upcoming lectures at Staatliche Hochschule für Gestaltung Karlsruhe and Johannes Gutenberg-Universität Mainz. Her work bridges academic research with contemporary art curation, examining how military technologies permeate civilian perception through screen media and imaging systems.

Ping Jiمشاهده پروفایل

استاد

• Network Measurement and Data Analysis
• Network Security
• Wireless Network Security Monitoring
• +۶ مورد دیگر

Ping Ji is a Full Professor and Chair of the Department of Computer Science within the School of Arts and Sciences at the City University of New York (CUNY), with dual appointments at Hunter College and John Jay College of Criminal Justice. She serves as Executive Officer of the Computer Science PhD Program and former Director of the Master's Program in Data Science at the CUNY Graduate Center (2018-2025). Educational background: PhD in Computer Science, University of Massachusetts Amherst (Advised by Jim Kurose and Don Towsley) MS in Computer Science, University of Massachusetts Amherst BA in Computer Science and Technology, Tsinghua University Her research spans network measurement and data analysis , security monitoring for computer and wireless networks , and Internet of Things (IoT) , with significant contributions to mobile network security and underwater acoustic communications. She founded John Jay College's Master's Program in Digital Forensics and Cybersecurity and the Graduate Center's Master's Program in Data Science. Analysis of her publication trends reveals a strategic evolution from foundational network security work toward AI-integrated systems for censorship detection, ethical security frameworks for small businesses, and transformative educational ecosystems. Her recent work increasingly incorporates large language models and multi-modal sensor analysis while maintaining core expertise in network measurement. Scientific recognition: Google Award ($3M) for CyberNYC Institutional Research Multiple NSF grants totaling over $2.1M including CCRI, I-Corps, and SFS programs Leadership in national cybersecurity workforce development initiatives Dr. Ji has secured over $3 million in research funding while advising numerous PhD students through the NeMo (Networks & Mobile Systems) Lab. Her grant portfolio demonstrates sustained success in translating theoretical research into practical applications for security monitoring, digital forensics, and educational technology. Current projects include AI-enabled censorship detection systems and ethical security frameworks tailored for resource-constrained small businesses. The NeMo Lab under her direction conducts cutting-edge research in wireless network measurement, mobile security, and IoT applications, with recent expansions into underwater acoustic communications and AI-driven educational transformation through the AeDA (AI-Enabled Attainable Education for All) initiative.

Cindy Grimmمشاهده پروفایل

استاد

• Robotics
• Agricultural Robotics
• Computer Graphics
• +۳ مورد دیگر

Cindy Grimm is a Professor and Graduate Program Director in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University (OSU), part of the College of Engineering. She is affiliated with the Robotics group, Human-Centered Computing, and Graphics and Visualization. Her research focuses on robotic grasping and manipulation for agricultural applications, ethics in robotics, and interdisciplinary projects such as 3D modeling, medical imaging segmentation, and bio-inspired sensor design. Education: Ph.D. in Computer Science, Brown University, 1996 M.S. in Computer Science, Brown University, 1992 B.A. in Computer Science and Art, University of California, Berkeley, 1990 Research Interests: Dr. Grimm’s work bridges computer science and robotics, emphasizing practical applications in agriculture and ethics. Key areas include robotic fruit harvesting systems, human-robot interaction, and the development of perception-driven algorithms for complex tasks like tree pruning and object manipulation. Her earlier projects explored surface modeling, bat sonar patterns, and 3D sketching interfaces. Publications: Her recent work addresses challenges in autonomous orchard management, robotic gripper design, and public understanding of service robots. Themes include precision agriculture, grasp planning, and sociotechnical aspects of robotics adoption. Awards: Recipient of the NSF CAREER Award, recognizing her contributions to robotics and interdisciplinary research. Service: Leads the Robotics graduate program at OSU, emphasizing ethical and technical training. Collaborates with the Collaborative Robotics and Intelligent Systems Institute (CoRIS) to advance robotics applications. Labs/Teams: Active in the CoRIS Institute, focusing on collaborative robotics and real-world robotic systems. Her lab develops hardware-software solutions for agricultural robotics and human-centered robotic interfaces.

Lee Spectorمشاهده پروفایل

استاد

• Artificial Intelligence
• Artificial Life
• Evolutionary Computation
• +۴ مورد دیگر

Lee Spector is a Professor of Computer Science at Amherst College and an Adjunct Professor at the University of Massachusetts, Amherst . Previously, he taught at Hampshire College from 1992 to 2019, where he held roles including Dean of the School of Cognitive Science and Director of the Computational Intelligence Laboratory . He earned a B.A. in Philosophy from Oberlin College (1984) and a Ph.D. in Computer Science from the University of Maryland (1992). His research focuses on artificial intelligence, artificial life, evolutionary computation, and intersections with cognitive science, physics, and the arts. Notable contributions include work on genetic programming for music generation (e.g., GenBebop ), quantum computing algorithms, and evolutionary robotics. He serves as Editor-in-Chief of Genetic Programming and Evolvable Machines and has authored over 100 publications, including the book Automatic Quantum Computer Programming: A Genetic Programming Approach (2004). Spector has received prestigious awards such as the NSF Director's Award for Distinguished Teaching Scholars and gold medals in the GECCO Human Competitive Results contest. He also engages in public outreach, including an op-ed in The Boston Globe on digital evolution (2005).

Marco Rozendaalمشاهده پروفایل

پژوهشگر

• Human-Centered Design
• Human-Robot Interaction
• Healthcare Technology
• +۳ مورد دیگر

Marco Rozendaal is a researcher at Delft University of Technology's Industrial Design Engineering department, specializing in Human-Centered Design and Human Technology Relations. He focuses on ethical dimensions of technology, human-robot interaction, wearable health solutions, and critical design philosophies. His work bridges theoretical research and practical applications, such as designing embodied coaches for stroke rehabilitation and exploring moral stress in technical practice. Research Interests: Rozendaal investigates how technology impacts human behavior and ethics, emphasizing embodied interaction, friction in digital systems, and healthcare innovations. Notable areas include AI ethics, wearable technologies for body awareness, and the sociotechnical implications of robotics in workplaces and healthcare settings. His projects often involve interdisciplinary collaborations with theater professionals, medical practitioners, and farmers. Publications Trends: His recent work highlights themes like moral stress in technical fields, human-robot collaboration in mixed-reality environments, and ethical design frameworks. Key contributions include guidelines for robot communication in dairy farming and critical analyses of seamless technology's societal impacts. Awards: He received the 2018 Best Paper Award for exploring ambiguity in behavioral design, recognizing his contributions to design theory and ethics. Teaching & Projects: Rozendaal teaches courses like Design in Robotics and Videography . He leads research initiatives such as Wearable Technology for Increased Body Awareness and MUG CUP , which support parents of hospitalized children. His work also addresses the 'New Normal' in post-pandemic design practices. Labs & Teams: His research is conducted within TU Delft's Human-Centered Design group, collaborating with industry partners and academic networks to advance ethical and human-centric technological solutions.

Sylvia Pontمشاهده پروفایل

استاد

• Perceptual Intelligence
• Lighting Design
• Multisensory Design
• +۳ مورد دیگر

Prof. Sylvia Pont is a Professor of Perceptual Intelligence at Delft University of Technology, leading the Perceptual Intelligence lab and section. Her work focuses on multisensory design, lighting science, and ecological optics, emphasizing cross-disciplinary approaches to real-world perception challenges. She coordinates the Master’s course Lighting Design and teaches in human-centered design and multisensory systems. As an Associate Editor for the Journal of Vision , her research bridges art, science, and design, with notable contributions to lighting design methods and material perception. Research Themes: Multisensory experiences, light-material interactions, perceptual intelligence, and healthcare environments. Media & Outreach: Featured in ILI Magazine , Radio Omroep Delft , and public lectures like the Van Leeuwenhoek Lecture on light perception. Professional Roles: Board member of Stichting Dutch Daylight (2022–2026), promoting daylight research and applications. Her publications span lighting science, AI ethics, and healthcare acoustics, reflecting a commitment to interdisciplinary innovation. Recent work includes studies on ICU soundscapes, algorithmic fairness, and the perceptual impact of light color changes.

Laura Toniمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Immersive Communications
• +۵ مورد دیگر

Laura Toni is an Associate Professor in the Department of Electronic & Electrical Engineering at University College London (UCL). She serves as Director of the MSc in Telecommunications and Internet Engineering and the MRes in Telecommunications. Additionally, she is a Turing Fellow at the Alan Turing Institute and a member of ELLIS (European Lab for Learning and Intelligent Systems). Her research focuses on coding, streaming technologies, machine learning for immersive communications, decision-making under uncertainty, and large-scale signal processing. She leads the LASP (Learning And Signal Processing) group at UCL. Education: MSc (2005) and PhD (2009) from the University of Bologna, followed by postdoctoral research at UC San Diego and EPFL under Professors L. Milstein, P. Cosman, and P. Frossard. Key roles include Technical Program Chair at ACM MM 2022, Keynote Co-Chair at ACM MMSys 2022, and leadership in organizing workshops on graph-based machine learning and emerging technologies in performing arts. She is a Senior IEEE Member and holds editorial roles in IEEE Multimedia Magazine and EURASIP Journal on Signal Processing. Her work bridges communication systems and machine learning, with contributions to adaptive streaming, network optimization, and graph signal processing. She actively promotes diversity and inclusion in technical conferences, including roles as Diversity Chair at MMSys 2021 and PIMRC 2020.

Amitabh Mishraمشاهده پروفایل

استاد مدعو

• Computer-Communication Networks
• Wireless Networks
• Network Security
• +۵ مورد دیگر

Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.

• Computer Vision
• Extended Reality (XR)
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Helmut Grabner is a Professor at the Zurich University of Applied Sciences (ZHAW), leading the Visual Intelligence and Applications Group and the Entrepreneurship initiatives within the School of Engineering. His work bridges computer science, medical technology, and visual communication, with a focus on Extended Reality (XR), surgical training simulations, and AI-driven decision making. Education: PhD in Computer Science (Graz University of Technology, 2008), Master's in Computer Science (2008), and a Certificate of Advanced Studies in Higher Education (ZHAW, 2021). Prior to academia, he held roles including CTO at Logitech and co-founder of upicto, applying computer vision in industry and startups. Research spans augmented reality medical training tools, NMR spectrum analysis via deep learning, and understanding visual engagement in advertising. Awards include the prestigious Koenderink Prize (2018) for contributions to computer vision. Projects include Immersive Education frameworks, bias-mitigation in venture capital algorithms, and surgical proficiency measurement systems. Teaching includes courses on Visual Computing, Machine Learning, and Deep Learning. His work integrates academic research with practical applications in healthcare, education, and entrepreneurship.

Jordan Cotlerمشاهده پروفایل

استادیار

• Quantum Information
• Quantum Computation
• Quantum Gravity
• +۵ مورد دیگر

Jordan Cotler is an Assistant Professor of Physics at Harvard University, affiliated with the Department of Physics within the Faculty of Arts and Sciences. He holds a BS in physics and mathematics from MIT (2015) and a PhD in physics from Stanford University (2020). Before joining Harvard's faculty, he served as a Junior Fellow at the Harvard Society of Fellows from 2020 to 2024. His research focuses on the intersection of quantum information, computation, and spacetime physics. Key interests include quantum algorithms for analyzing many-body and quantum gravitational systems, information-theoretic frameworks for chaotic dynamics, and non-perturbative methods in quantum cosmology and field theory. Cotler's work has advanced quantum algorithm design for experimental platforms and contributed to understanding black hole microstructure and cosmological spacetimes. He has been recognized with prestigious early-career awards, including his Harvard Society of Fellows Junior Fellowship. His publications span foundational topics such as quantum gravity, holography, computational complexity, and quantum chaos, reflecting a multidisciplinary approach to theoretical physics.

Ji Hyung Leeمشاهده پروفایل

استاد

• Econometric Theory and Applications
• Time Series and Financial Econometrics
• Probability and Statistics
• +۳ مورد دیگر

Ji Hyung Lee is a Professor of Economics at the University of Illinois Urbana Champaign, with a courtesy appointment in the Department of Finance at Gies College of Business. His research focuses on econometric theory, time series analysis, financial econometrics, and machine learning applications in economics. He holds a Ph.D. in Economics from Yale University (2013) and a B.A. in Economics from Seoul National University (2005). His research interests include developing robust econometric methods for high-dimensional data, quantile regression techniques, and applications to macroeconomic policy and financial risk analysis. Notable contributions include work on predictive quantile regression, nonparametric density estimation, and modeling household inflation expectations. His recent articles explore topics such as machine-learning approaches to growth risk, quantile impulse responses for value-at-risk dynamics, and parameter-free methods for density estimation. Lee’s work emphasizes methodological innovation and practical relevance in policy contexts. He has held positions at multiple institutions and maintains affiliations with the Midwest Econometrics Group. His research has been published in top journals like Journal of Econometrics and Econometric Theory .

Sergei Shabanovمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Field Theory
• Wave Scattering Theory
• +۷ مورد دیگر

Sergei V. Shabanov is a Professor of Mathematics and Affiliate Professor of Physics at the University of Florida, College of Liberal Arts and Sciences. He holds offices in LIT 464 (Mathematics) and NPB 2180 (Physics), with phone contacts (352) 392-0281 and (352) 392-8714. His research focuses on mathematical physics, including bound states in the continuum, quantum field theory, Navier-Stokes equations, and laser-induced plasma dynamics. He co-authored monographs on Hamiltonian mechanics of gauge systems and textbooks on calculus. Research Interests : • Quantum field theory (Yang-Mills theories, path integrals) • Wave scattering and plasma physics (laser-induced plasmas, tomography) • Mathematical methods (partial differential equations, operator theory) His work bridges theoretical physics and applied mathematics, with emphasis on constrained systems and interdisciplinary applications. Recent Publications : Shabanov’s recent work includes studies on elastic wave scattering (2024), bound states in elasticity (2021), and plasma chemistry modeling (2019-2016). His research often explores theoretical frameworks with practical implications in spectroscopy and material science. Academic Contributions : - Director of the John R. Klauder Memorial Conference - Associate Director of the Institute for Fundamental Theory (Physics) - Adviser to the University Math Society - Taught advanced courses like Mathematical Methods for Physics and Partial Differential Equations.

Cora Rokمشاهده پروفایل

پژوهشگر

• 19th-21st Century French and Italian Literature
• Film Studies (Pier Paolo Pasolini, Michelangelo Antonioni)
• Critical Theory, Poststructuralism, Existentialism
• +۴ مورد دیگر

Cora Rok is a researcher in Romance Studies at the University of Heidelberg, currently working on her habilitation thesis exploring shame aesthetics in 19th-century French literature. She holds a summa cum laude PhD in Italian Philology from the trinational 'Italianistica' graduate program (Universities of Bonn, Florence, and Paris-Sorbonne). Her primary affiliations include the Romance Studies Department at Heidelberg and previous roles at the University of Trier's Center for Digital Humanities and the University of Bonn. Research focuses: Italian/French literature (19th-21st centuries), Pier Paolo Pasolini studies, Marxist criticism, digital humanities, and literary theory Key academic contributions: Authentizität nach Pasolini (2021), Entfremdung in der Arbeitswelt (2021), and over 30 peer-reviewed publications Her work bridges traditional literary analysis with computational methods, evident in collaborations like 'From Keyness to Distinctiveness' (2021). She actively participates in interdisciplinary projects such as Neuer Realismus in der Romania (2021) and Selbstreflexivität im italienischen Gegenwartskino (in preparation). Awards include the 2020 DIV Young Talent Award and postdoctoral funding through MeTra and University of Bonn's graduate programs. She maintains teaching responsibilities in French and Italian literature at Heidelberg while contributing to academic leadership roles in editorial projects and conferences.

• Software Engineering
• Spatial Information Systems
• Accessibility Technology
• +۳ مورد دیگر

David McMeekin is a Senior Lecturer at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), part of the Faculty of Science and Engineering. He holds a PhD in Software Engineering focusing on the human aspects of software development and has extensive experience in both academia and international NGOs. His research emphasizes applying technology to solve societal challenges, including accessibility for vision-impaired individuals, autism support through tech, cultural heritage preservation, and spatial data infrastructure. Education and professional background are not explicitly detailed in this profile, though his career spans over three decades in education and tech sectors. Research interests include semantic web technologies for spatial data, assistive technologies for disabilities, and digital humanities. He has been recognized with the 2014 Western Australian Spatial Educator of the Year award. Teaching spans topics like software engineering, programming languages (C, Java, Python), cross-cultural communication, and spatial data processing. His work bridges technical innovation with social impact, particularly in enhancing accessibility and cultural preservation through digital tools.

Jennifer Suhمشاهده پروفایل

استاد

• Mathematics Education
• Lesson Study
• Mathematical Modeling
• +۴ مورد دیگر

Dr. Jennifer Suh is a Professor of Mathematics Education at George Mason University’s College of Education and Human Development. She co-directs the Center for Outreach in Mathematics Professional Learning and Educational Technology (COMPLETE), a partnership between the College of Education and the College of Science. Her work focuses on elementary mathematics education, teacher development through lesson study, and equitable instruction using mathematical modeling and technology. PhD in Mathematics Education Leadership with a specialization in Instructional Technology (George Mason University, 2005) Bachelor of Arts (University of Virginia, 1994) Masters in Teaching (University of Virginia, 1994) Dr. Suh’s research centers on: Building pedagogical content knowledge via lesson study and collaborative partnerships Promoting representational fluency through physical/virtual manipulatives Designing STEM problem-based learning (PBL) environments Developing equity-centered frameworks for technology integration Mathematical modeling for social justice and community contexts Her recent publications highlight trends in algorithmic thinking with AI tools, culturally responsive pedagogy, and adaptive learning environments. She also explores interdisciplinary approaches to mathematical modeling and 21st-century skills. Scientific awards include: Nomination (2011) for the Rising Star Outstanding Faculty Award by Virginia institutions Dr. Suh supervises teacher interns through George Mason’s Professional Development School Program and collaborates with Northern Virginia school districts via the COMPLETE center. She emphasizes authentic problem-solving and teacher leadership development.