جستجوی استاد راهنمای دانشگاهی

Jon Chambersمشاهده پروفایل

استاد آموزشی

• Interactive Media
• Experimental and Critical Game Design
• Games Studies
• +۶ مورد دیگر

Jon Chambers is a Teaching Professor in Digital Media Practices, specializing in interactive and speculative digital art. His work bridges physical and virtual realms, critiquing data collection, networked systems, and post-human identity. Education : MFA in New Media Art, University of Illinois at Chicago Chambers' research explores themes such as Interactive Media , Experimental Game Design , and Sustainable Internet Infrastructure . His projects like Touch Analysis and g2v network interrogate user participation in data feedback loops, DIY server ecosystems, and the corporatization of digital spaces. Notable projects include Surface Analysis , integrating haptic technology and facial recognition, and Server Farm Caress, Emission , which critiques environmental costs of digital infrastructure. His mutablebody.net and Open Input series examine the body's transformation into data and hyper-local network interactions.

Alhussein Abouzeidمشاهده پروفایل

استاد

• Computer Networks
• Networked Systems
• Internet of Things (IoT)
• +۵ مورد دیگر

Alhussein Abouzeid is a Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). His research focuses on computer networks, networked systems, IoT, smart grid, vehicular networks, and spectrum management. He contributes to the Center for Materials, Devices, and Integrated Systems (CMDIS) and maintains a research group dedicated to advancing dynamic spectrum access, privacy-aware localization, and wireless caching policies. Primary Research Focus: Computer Networks, IoT, Smart Grid, Vehicular Networks Research Center: Center for Materials, Devices, and Integrated Systems (CMDIS) Professor Abouzeid's recent work explores the integration of graph neural networks in spectrum enforcement, privacy-aware deep learning for localization, and spatially correlated content caching in wireless networks. His publications highlight advancements in spectrum partitioning, retransmission protocols, and traffic flow control, with applications in 5G/6G systems and smart grids. Scientific Trends: 2025: Machine learning for spectrum enforcement (Spec-GNN) 2023: Privacy-preserving localization and caching optimization 2021: Stochastic spectrum market models and lease duration optimization 2020: Workload distribution and collaborative caching frameworks

Sven Escheمشاهده پروفایل

دانشیار

• Manufacturing
• Integrated Product Design
• Metal Forming
• +۴ مورد دیگر

Dr. Sven Esche is an Associate Professor in Mechanical Engineering at Stevens Institute of Technology. He holds a PhD from Ohio State University and specializes in manufacturing, computational mechanics, and engineering education innovation. With over 30 years of academic experience, he has held leadership roles including Associate Department Director and Program Director for graduate studies. Education includes: PhD in Mechanical Engineering, Ohio State University (1997) MS in Mechanical Engineering, Ohio State University (1994) Diploma in Applied Mechanics, Chemnitz University of Technology (1989) His research integrates virtual laboratories, game-based learning, and IoT applications to transform engineering education. Recent work develops biometric proctoring systems and adaptive control algorithms for robotics education. Publications demonstrate consistent focus on enhancing remote experimentation through VR/AR technologies and collaborative learning frameworks. Awards recognizing his contributions: Employee Recognition Award for Excellence (2016) Humphreys Distinguished Teaching Award (2015) Best Paper Award, ASEE Conference (2006) He coordinates multi-institutional research projects in educational technology and advises graduate students in mechanical engineering. Directs laboratory facilities developing telepresence robots and virtual assembly platforms for distance learning.

Madhavan Parthasarathyمشاهده پروفایل

استاد

• Disruptive Innovation
• Marketing Strategy
• Entrepreneurship Education
• +۴ مورد دیگر

Dr. Madhavan Parthasarathy is a Professor of Marketing and Entrepreneurship at the University of Colorado Denver Business School, and the Academic and Executive Director of the Jake Jabs Center for Entrepreneurship. He co-teaches entrepreneurship capstone courses, focusing on business planning and digital strategy. His research centers on disruptive innovations, diffusion theory, and consumer behavior, with notable contributions to understanding service discontinuation and technology adoption. He holds a PhD in Marketing from the University of Nebraska-Lincoln. Dr. Parthasarathy's work bridges academic research and practical entrepreneurship, fostering partnerships with Colorado’s business leaders. He has secured significant funding for the Jake Jabs Center, enabling mentorship programs, cutting-edge events, and industry collaborations. His interdisciplinary efforts include co-developing the University of Colorado Certificate Program in Bioinnovation and Entrepreneurship, emphasizing biotech commercialization. His recent research explores healthcare service quality, gender wage gaps in entrepreneurship, and EV adoption. He frequently publishes in journals like Information Systems Research and Journal of the Academy of Marketing Science , addressing topics from consumer values in India to electronic medical records’ impact on healthcare. Education: PhD in Marketing, University of Nebraska-Lincoln Labs/Teams: Jake Jabs Center for Entrepreneurship, University of Colorado Bioinnovation Program Grants: Secured major private gifts for the Jake Jabs Center

Xiaodi Huangمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Data Analysis and Visualization
• Computer Applications
• +۴ مورد دیگر

Associate Professor Xiaodi Huang holds a PhD in Computer Science from Swinburne University of Technology (2004). He joined Charles Sturt University (CSU) in 2007 as a senior lecturer, leading to his current role in the School of Computing, Mathematics and Engineering. His research focuses on applied machine learning, data visualization, and computer applications. He has held roles as an editor for journals like ICT Express and PLOS one , and has contributed to multiple research groups including the Data Mining Research Group (DaMRG). His academic journey includes prior positions at the University of New England and the University of Southern Queensland. Awards include the 2024 Excellence Award (Research) and recognition for top-cited articles. Key research areas include graph learning, multimodal sentiment analysis, and medical imaging applications. He has published over 170 articles and contributed to datasets like GoSum and BSci-Seg . His work spans interdisciplinary projects, including the Murray Darling Basin PIT data analysis and healthcare AI initiatives. Teaching responsibilities include courses like ITC 212 Internet Technologies and ITC 556 Database Systems . He maintains active editorial roles and has supervised numerous research projects, emphasizing practical applications of AI and data science.

Katsutoshi Mizutaمشاهده پروفایل

استادیار

• Precision Agriculture
• Digital Soil Mapping
• Remote Sensing
• +۳ مورد دیگر

Dr. Katsutoshi 'Toshi' Mizuta is an Assistant Professor of Computational Agricultural & Environmental Sciences at the University of Kentucky's Martin-Gatton College of Agriculture, Food and Environment, Department of Plant and Soil Sciences. He holds a PhD in Soil and Water Sciences from Soka University (2016), complemented by expertise in precision agriculture, digital soil mapping, and AI applications in environmental science. His research integrates biogeochemical analysis with advanced technologies including proximal/airborne/satellite remote sensing to study soil health, climate-smart agriculture, and ecosystem services. Key focus areas include developing decision-support tools for sustainable land management, large-scale modeling of soil properties using machine learning, and analyzing land-use changes through cloud computing platforms. Dr. Mizuta's publications demonstrate consistent innovation in agricultural technology, with recent work emphasizing IoT-enabled soil monitoring, spectroscopy-based nutrient analysis, and multi-source data fusion for precision farming. His interdisciplinary approach bridges computational methods with field applications to address food security and climate resilience challenges.

• Digital Humanities
• Media Studies
• History of the Book
• +۲ مورد دیگر

Professor Jean Elyse Graham holds a Ph.D. from Yale University (2015) and is a prominent scholar in digital humanities, media studies, and the history of the English language at Stony Brook University's English Department. Her research examines intersections between traditional textual culture and new media, with a focus on transatlantic literary contexts and the evolution of language. Graham has authored books for prestigious presses like Oxford University Press and HarperCollins, including The Republic of Games: Textual Culture Between Old Books and New Media (2018). She teaches courses such as 'Story Telling With Data Humanities' and 'British Literature Before 1800.' Her work bridges humanities scholarship with computational methods, emphasizing digital archiving, data visualization, and collaborative annotation tools. Current projects include a book with HarperCollins exploring digital media's impact on cultural production. Her academic contributions span publications in interdisciplinary journals and edited volumes, addressing topics from Joyce's modernist techniques to the sociological dynamics of internet trolling. Graham's teaching philosophy integrates technology into literary analysis, reflected in courses like 'Science, Technology and Humanities.' She actively participates in digital humanities initiatives, designing tools for macro-scale data analysis in historical and scientific contexts. Her research underscores the transformative role of media transitions on cultural expression and scholarly communication.

Fan Yeمشاهده پروفایل

استاد

• Mobile and embedded sensing systems
• AI/ML algorithms
• Data-centric wireless communication
• +۳ مورد دیگر

Fan Ye is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University, serving as Graduate Program Director. His research focuses on mobile/embedded sensing systems, AI/ML for Computational Screening and Surveillance (CSS), data-centric wireless communication, edge computing, and IoT. He leads projects in health monitoring infrastructure (e.g., Proteus) and vehicular peer model training (e.g., Roadtrain), emphasizing scalability and manageability. His work bridges hardware-software integration for real-world applications like non-contact vital signs monitoring and aging-in-place sensor tech. Research trends reflect a strong emphasis on practical systems: 2024 publications highlight RF-based health monitoring innovations, edge computing optimizations, and user-centric sensor development. Earlier work includes contributions to decentralized machine learning, self-calibrating indoor tracking, and UWB-depth sensor fusion. Collaborations span academia and industry, addressing challenges in privacy, energy efficiency, and real-time data processing. Ye’s lab develops scalable solutions for pervasive edge environments, addressing issues like multicast rate control, optimal producer selection (OPSEL), and blockchain resource allocation. His teaching contributions include collaborative approaches to aging technology education. Current projects aim to engage older adults in shaping low-cost sensor systems and improving post-COVID health monitoring through unobtrusive home sensors. Notable infrastructure includes the Proteus health monitoring platform and SCALING for plug-and-play indoor tracking. His systems emphasize robustness and adaptability, leveraging acoustic, radar, and vision modalities for multi-factor authentication and indoor mapping.

• Data Science
• Edge Computing
• IoT Security
• +۳ مورد دیگر

Dr. Yalong Wu is an Assistant Professor of Data Science at the University of Houston-Clear Lake's College of Science and Engineering. His research focuses on data-driven solutions for edge computing, IoT security, machine learning applications, and network optimization in distributed systems. Research domains include big data quality assessment, blockchain security frameworks, edge intelligence for video analytics, and neuromorphic computing. Recent publications demonstrate strong emphasis on practical implementations for cybersecurity and network efficiency. Publications show consistent focus on distributed systems challenges, with emerging work on adversarial machine learning, blockchain applications, and edge computing frameworks. Methodological approaches integrate statistical modeling, game theory, and optimization techniques.

Xiang Liمشاهده پروفایل

دانشیار

• Large-scale optimization
• Cyber-security
• Networking systems
• +۶ مورد دیگر

Xiang Li is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University, within the College of Engineering. She holds a Ph.D. from the University of Florida and specializes in large-scale optimization, cyber-security, and network systems. Her research focuses on developing models and algorithms for challenges in Online Social Networks (OSNs), Device-to-Device (D2D) Networks, IoT, and Smart Grids. She has authored over 30 articles in top-tier journals and conferences, including best paper awards at IEEE SocialSec 2018 and IEEE MSN 2014. Dr. Li serves as an Associate Editor for the Journal of Combinatorial Optimization and Computational Social Networks Journal, and has received prestigious grants such as the NSF CISE Research Initiation Initiative (CRII) award (2020). Her research interests include cyber-physical systems, privacy vulnerability in OSNs, cascading failure analysis, and adaptive resource allocation. Notable projects involve quantifying privacy risks from socialbot attacks, designing frameworks for cascading failure mitigation in smart grids, and optimizing D2D communication in dynamic environments. Awards include the UF Informatics Institute Fellowship and multiple travel grants from NSF and IEEE. Dr. Li’s professional service includes roles as TPC member for ICDCS, ICDM, and CSoNet, along with session chair duties at ACM SIGMETRICS. She actively participates in NSF panels and conference organization, including co-chairing the WiDS conference at Santa Clara University. Her work bridges theoretical optimization with practical cybersecurity and network efficiency challenges.

Angela Musurlianمشاهده پروفایل

مدرس

• Computer Science
• Computer Networks
• Network Security
• +۳ مورد دیگر

Angela Musurlian is a Lecturer in the Department of Computer Science and Engineering at the School of Engineering, Santa Clara University (SCU). She transitioned to academia after a career in industry, joining SCU following roles at prominent companies such as Cylink, Google, Microsoft, Barracuda, and CDNetworks in Silicon Valley. Prior to moving to the USA in 1999, she worked in Brazil at the Federal University of Rio de Janeiro (UFRJ), Pontifical Catholic University of Rio de Janeiro (PUC-RJ), and Digital Equipment (DEC). Education: B.S. in Mathematics - Computer Science, State University of Rio de Janeiro, Brazil M.S. in Systems and Network Communications, Polytechnic University of Madrid (UPM), Spain Her research and professional interests focus on computer networks, network security, and web infrastructure. These areas reflect expertise in designing robust communication systems, safeguarding digital networks, and optimizing internet-scale technologies. Angela teaches courses such as: COEN 10 COEN 11 COEN 162 COEN 233 COEN 250 COEN 283 While no scientific awards or lab affiliations are explicitly listed, her career highlights include industry contributions to major tech firms and academic roles at SCU and Brazilian institutions. She has not listed current grant activities or future research plans in the provided information.

Mehmet Engin Tozalمشاهده پروفایل

دانشیار

• Data Science
• Graph Theory
• Cybersecurity
• +۳ مورد دیگر

Mehmet Engin Tozal is Francis Patrick Clark/BORSF Endowed Associate Professor in the School of Computing and Informatics at the University of Louisiana at Lafayette. His research develops machine learning and graph-theoretic methods for cybersecurity, health informatics, and network analysis. Tozal has secured over $1.3M in grants from organizations including MITRE and NSF. His current projects focus on anomaly detection in blockchain transactions, predictive link analysis in computer networks, and healthcare fraud detection using knowledge graphs. He advises multiple doctoral students and teaches courses in data visualization, information assurance, and advanced informatics. His publications span network topology mapping, cybersecurity, and health informatics applications.

• Applied Social Data Science
• Political Institutions
• Internet Governance
• +۱ مورد دیگر

Yao Han is a Teaching Fellow in Applied Social Data Science within Trinity College Dublin's Department of Political Science. His scholarly output includes critical analyses of governance structures, particularly examining internet policy in China and global institutional frameworks. Research employs computational social science methods to investigate political systems and digital civil society development. Publications demonstrate consistent focus on governance mechanisms across scales, from local Chinese communities to international organizations. Methodological approaches bridge qualitative political theory with quantitative data analysis techniques.

Dirk Peschمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +۹ مورد دیگر

Professor Dirk Pesch is a faculty member at the School of Computer Science and Information Technology , University College Cork. His research focuses on Internet of Things (IoT) , Cyber-Physical Systems , and Smart Manufacturing , with applications in Smart Communities , Health & Wellbeing , and Industrial Automation . As Director of the SFI Centre for Research Training in Advanced Networks for Sustainable Societies and Co-Principal Investigator of the CONNECT Centre , he leads large-scale research initiatives. He has secured over €80M in research funding and authored 250+ scientific publications. His leadership in the Cork Smart Gateway initiative and founding of the Nimbus Research Centre highlight his industry-focused impact. His recent work explores 5G/6G integration with Time-Sensitive Networking (TSN) , machine learning for loneliness detection , and interoperability solutions for IoT ecosystems . He contributes to international conferences as Technical Programme Co-Chair (IEEE SmartComp 2024) and General Chair (IEEE SmartComp 2025).

Thomas Schmaltzمشاهده پروفایل

پژوهشگر

• Materials Science
• Microelectronics
• Nanotechnology
• +۳ مورد دیگر

Dr. Thomas Schmaltz is the Coordinator of the Business Unit Industrial Technologies at the Fraunhofer Institute for Systems and Innovation Research (ISI), leading strategic analyses of emerging technologies. Previously, he held a senior scientist role in the Department of Emerging Technologies (since 2018) and completed postdoctoral research at the École Polytechnique Fédérale de Lausanne (EPFL), supported by prestigious fellowships. His expertise spans materials science, microelectronics, and nanotechnology, with a focus on innovation systems and market analysis. Education includes a Diplom (2006-2011) and PhD (2011-2014) in Materials Science at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializing in organic/inorganic hybrid solar cells and molecular electronics under Prof. Marcus Halik. His postdoc work with Prof. Holger Frauenrath at EPFL advanced self-assembled monolayers. Key research interests include quantum technologies, solid-state batteries, graphene applications, and the socio-economic impact of emerging technologies. He has led projects like the FRAME initiative for microelectronics innovation and the Graphene Flagship’s roadmap. His publications emphasize roadmaps for battery technologies, quantum communication, and innovation ecosystems. Scientific contributions include over 20 peer-reviewed articles and reports, with awards from the Alexander von Humboldt Foundation and the Marie Skłodowska-Curie Actions. He advises on industrialization pathways for technologies like solid-state batteries and collaborates on EU-funded initiatives to bridge research and market adoption.