جست‌وجوی استاد و پژوهشگر

Chi-Chun Leeمشاهده پروفایل

استاد

• Speech and Language Processing
• Affective Computing
• Health Analytics
• +۳ مورد دیگر

Chi-Chun Lee (Jeremy) is a Professor and Associate Chair in the Department of Electrical Engineering at National Tsing Hua University (NTHU), Taiwan. He also serves as Director of the NVIDIA-NTHU Joint Innovation Center and leads the Behavioral Informatics & Interaction Computation (BIIC) Lab. His academic journey includes a B.S. (magna cum laude) and Ph.D. in Electrical Engineering from the University of Southern California (USC), USA (2007 and 2012), followed by roles as a data scientist at id:a lab and technical consultant for companies like E.Sun Bank and Allianz Taiwan. Research focuses on speech processing, affective computing, health analytics, and behavior signal processing. He is an IEEE Senior Member and holds editorial roles in top journals such as IEEE Transactions on Affective Computing and Multimedia. Key contributions include leading teams to international competitions (e.g., 1st place in INTERSPEECH 2009 Emotion Challenge) and developing AI frameworks for clinical applications like respiratory sound classification and tumor image synthesis. Recipient of prestigious awards including the NTHU-Novatek Distinguished Talent Chair (2024), National Science and Technology Council Outstanding Research Award (2023), and multiple best paper awards. His work bridges academia and industry, with collaborations extending to NVIDIA and startups like AHEAD Medicine. Research has been featured in major media outlets including Scientific American and Discovery.

• Artificial Intelligence
• Extended Reality
• Computer Science
• +۳ مورد دیگر

Pasquale Cascarano is a fixed-term Assistant Professor at the University of Bologna , affiliated with the Department of the Arts . His research bridges computer science with creative industries (cinema, art, fashion) and biomedical applications, focusing on Artificial Intelligence and Extended Reality paradigms. He collaborates with national and international institutions on interdisciplinary projects. Institutional Affiliation: University of Bologna Academic Role: Assistant Professor (fixed-term) Research Interests center on integrating AI and XR into creative sectors and healthcare, with emphasis on: Generative AI for immersive environments Medical imaging and diagnostics Digital heritage preservation XR-based educational tools 3D visualization techniques Creative technology applications Recent Publications highlight trends in: Medical XR for surgical training AI-driven image restoration LLM integration with AR/VR Privacy in collaborative AR Fashion and cultural heritage digitization Deep learning for video enhancement

• Through-life Engineering Services
• Cost Engineering
• Obsolescence Management
• +۶ مورد دیگر

Professor Rajkumar Roy is Executive Dean at City St George's, University of London, following leadership roles at Cranfield University including Director of Manufacturing (2014–2019) and Professor (2005–2019). He holds a PhD in Computing from the University of Plymouth (UK) and BEng/MEng in Production Engineering from Jadavpur University (India). His career spans engineering at Tata Motors, pioneering research in Through-life Engineering Services (TES) with Rolls-Royce, BAE Systems, and others, and founding the TES Centre at Cranfield. PhD: Computing, University of Plymouth (1997) MSc: Intelligent Systems, University of Plymouth (1993) MEng: Production Engineering, Jadavpur University (1992) BEng: Production Engineering, Jadavpur University (1987) Professor Roy’s research focuses on Through-life Engineering Services , Cost Engineering , and Product-Service Systems . He advocates design thinking in higher education, co-founded the C4D Centre with £5.5m funding, and explores digital twins, augmented reality in maintenance, and evolutionary algorithms for optimization. His work bridges engineering, technology, and management to enhance industrial competitiveness. Recent publications highlight trends in the Industrial Metaverse , Augmented Reality for remote assistance, and Uncertainty Quantification in engineering systems. His 2023–2025 articles address laser peening for turbine alloys, self-engineering turbines, and AR authoring tools. Scientific recognition includes: Fellow of CIRP, Institution of Engineering Designers, and Higher Education Academy President of ACostE (2008–2010) Founding Editor-in-Chief of Elsevier's Applied Soft Computing Leadership in EPSRC, EU, and industry-funded projects totaling over £50m Professor Roy has supervised 28 PhD/MSc students, including Nicolau Morar (2018) and Evaggelos Lavdas (2008), and secured major grants like the EPSRC Platform Grant on TES (£1.3m cash + £1m in-kind) and the Atkins-Cranfield Chair (£250K). His work with Rolls-Royce, BAE Systems, and MoD underscores his industry impact.

Shashi Raj Pandeyمشاهده پروفایل

استادیار

• Network Economics
• Game Theory
• Wireless Networks
• +۷ مورد دیگر

Shashi Raj Pandey serves as Assistant Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, Denmark. His research is anchored in the Connectivity section and Connectivity Classique-Center for Classical Communication in the Quantum Era, with office location at Fredrik Bajers Vej 7C, C1-111, 9220 Aalborg Øst. His core research spans Network Economics, Game Theory, and Wireless Networks, with specialization in Decentralized Machine Learning and Semantic/Goal-oriented Communications. Current work integrates Digital Twin technologies with 6G systems for industrial automation and earth observation, emphasizing resource-efficient protocols for Internet of Things and edge intelligence applications. Recent publications (2024-2025) reveal a clear trajectory toward AI-6G convergence, featuring semantic communications for satellite imaging, game-theoretic network resource allocation, and digital twin implementations for autonomous systems. Key themes include communication efficiency in distributed learning and physical-digital world integration. Notable recognitions include: Best PhD Thesis Nominee (2021) Excellent Paper at Korea Software Congress, KIISE 2021 Student Best Paper Award at APNOMS 2019 Best Paper at Korea Software Congress, KIISE, 2018 Brain Korea 21st Century Plus Fellowship Academic service includes external PhD examination for EU SNS projects and peer review for premier conferences (AAAI, ICLR, ICML). His lab work within the Connectivity Classique-Center explores classical communication frameworks applicable to quantum-era networks, with focus on semantic information theory and decentralized network architectures.

Tiffany D. Doمشاهده پروفایل

استادیار

• Human-Centered AI
• Virtual Reality
• Augmented Reality
• +۹ مورد دیگر

Tiffany D. Do is an Assistant Professor in the Department of Computer Science at Drexel University's College of Computing and Informatics. Her work bridges artificial intelligence and human-centered design, with a focus on virtual and augmented reality, virtual avatars, and identity expression in digital environments. Her research interests lie at the intersection of Human-Centered AI , Virtual Reality (VR) , Augmented Reality (AR) , and Virtual Avatars . She investigates how AI systems and immersive technologies can be personalized to reflect individual identities and perspectives, enabling users to explore diverse experiences through virtual agents. Her expertise spans user design, applied language models, and immersive technologies, with a particular emphasis on how identity shapes user interactions with large language models (LLMs). Tiffany's prior research experience at Microsoft Research and Google involved user experience (UX) studies on language applications and LLMs, further enriching her interdisciplinary approach. Her academic background includes a PhD in Computer Science from the University of Central Florida and advanced degrees from the University of Texas at Dallas. While no specific scientific awards are listed, her work contributes significantly to the fields of AI and human-computer interaction. She advises students in computer science and AI-related domains, though no current advisees are named. Her research is supported by her industry and academic experience, and she is actively contributing to the advancement of personalized, identity-aware AI systems. She is affiliated with Drexel's vibrant computing research community and maintains a professional presence through her website: zyrcant.github.io .

• Cyber-Physical Systems
• Internet of Things (IoT) Security
• Computer Architecture
• +۵ مورد دیگر

Hokeun Kim is an Assistant Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), part of the Ira A. Fulton Schools of Engineering. He previously held positions at Hanyang University (2021-2023) and worked in industry roles at Google, LinkedIn, and HP Labs. His research focuses on cyber-physical systems, IoT security, and computer architecture, with a particular emphasis on safety and security aspects of time-sensitive systems. Education: Ph.D. in EECS, University of California, Berkeley (2017) M.S. in EECS, Seoul National University (2012) B.S. in Computer Science and Engineering, Seoul National University (2010) Research Interests: Kim’s work spans secure IoT frameworks, real-time embedded systems, and edge computing. He develops tools like the Secure Swarm Toolkit (SST) and Lingua Franca, addressing challenges in distributed system security, interoperability, and performance. Key Contributions: Authored over 30 peer-reviewed publications in top venues like IEEE Transactions, ACM Conferences, and DATE. Received the ACM/IEEE Best Paper Award (IoTDI 2017) and IEEE Micro Top Picks Honorable Mention (2017). Active in organizing conferences (e.g., DATE, FDL) and serves on technical committees for top journals/conferences. Teaching: Courses include Computer Architecture I/II, Real-Time Embedded Systems, and IoT design at both undergraduate and graduate levels.

• Data Processing
• Data Visualization
• Data Analysis
• +۳ مورد دیگر

Samira Ghayekhloo is an Assistant Teaching Professor at Arizona State University's School of Computing and Augmented Intelligence since Fall 2019. She previously served as an Assistant Professor at Azad University, Iran (2016–2018). Holding a Ph.D. in Artificial Intelligence from Eastern Mediterranean University (2016), she specializes in Data Processing, Expert Systems, and Knowledge Representation. Her research focuses on semantic web services, data visualization, and e-learning impacts. Education: Ph.D. in Artificial Intelligence, Eastern Mediterranean University, 2016 Research Interests: Data Processing: Visualization, Analysis Expert Systems: Knowledge Representation, Semantic Web Services Publications: Her work spans semantic web service discovery frameworks, e-learning impact analyses, and IT governance models. Notable contributions include rubric-based evaluation frameworks for semantic web services and comparative studies between ITIL and COBIT. Service & Leadership: CSE Undergraduate Program Committee Member (2024–Present) Co-Advisor for Women in Computer Science (2024–Present) MCS Online Course Coordinator for CSE 579 & CSE 578 (2022–Present) ABET Coordinator at Eastern Mediterranean University (2012–2015) Teaching: Teaches advanced courses like Knowledge Representation, Data Visualization, and Statistical Machine Learning. Active in mentoring and curriculum development for online programs.

Zhao Naمشاهده پروفایل

استادیار

• Artificial Intelligence
• Augmented Intelligence
• Data Science
• +۷ مورد دیگر

Dr. Zhao Na is a tenure-track Assistant Professor at the Singapore University of Technology and Design (SUTD), affiliated with the Institute of Sustainable Technology and Design (ISTD). She holds a Ph.D. in Computer Science from the National University of Singapore (NUS), where her thesis on 3D point cloud semantics earned the IMDA Excellence Prize. Her research bridges computer vision and machine learning, focusing on scene understanding, data-efficient learning, and domain generalization. Education: Ph.D. in Computer Science (NUS, 2021); Prior roles include Research Fellow at NUS. Research interests emphasize 3D scene analysis, object detection, semantic segmentation, and robust learning under noisy or limited data. Her work addresses challenges in multi-modal learning, continual learning, and open-world scenarios. Recent projects include geometry-semantics synergy in neural fields and cross-modal augmentation for visual grounding. Publications span top-tier venues like CVPR, ECCV, and ICCV, with a focus on 3D vision and AI. Key contributions include the PCTeacher framework for semi-supervised segmentation and Static-Dynamic Co-Teaching for incremental learning. Scientific Awards: IMDA Excellence Prize (2021). Active grants include a DSO Research Grant (2023–2026) and A*STAR MTC Grant (2023–2026). She leads the SUTD-ZJU Thematic Grant on 3D scene understanding (2022–2024). Laboratory/Team: Research group at ISTD/SUTD focuses on advancing AI-driven 3D perception and scene understanding systems.

Marjorie Zielkeمشاهده پروفایل

استاد پژوهشی

• Medical Simulation
• Virtual Reality
• Artificial Intelligence
• +۳ مورد دیگر

Marjorie Zielke is a Research Professor and Director of the Center for Simulation and Synthetic Humans at the University of Texas at Dallas (UT Dallas). She specializes in virtual human systems, medical simulation technologies, and interdisciplinary research at the intersection of arts, technology, and healthcare. Her academic roles include leading the Center for Modeling and Simulation, overseeing projects funded by NSF, NIH, and other agencies, and directing collaborations with institutions like Southwestern Medical Foundation and Sam Houston State University. Her work has been recognized with multiple awards, including first place at the International Meeting of Simulation in Healthcare (IMSH) and IITSEC. Education: PhD in Aesthetic Studies (UT Dallas, 2007), MBA (UT Arlington, 1980), and BS in Journalism (University of Illinois, 1977). Research focuses on virtual patients, augmented reality in medical training, and game-based learning platforms. She has pioneered projects like the Emotive Virtual Patient and the Individual Nystagmus Simulated Training Experience (INSITE), addressing clinical communication and law enforcement training needs. Grants and Projects: Over $3M in funding for initiatives such as the NSF-funded Virtual Reality Graded Exposure (VRGE) program and the Texas Department of Transportation-supported INSITE project. She also leads the Virtual Dyslexia Therapist initiative under a Texas Scottish Rite Hospital grant. Teaching includes managing interactive media projects and graduate courses on cyberpsychology and autonomous technology design.

• Data Science
• Concept-Drift Management
• Database Systems
• +۱۲ مورد دیگر

Tania Cerquitelli is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where she leads research in data science, concept-drift management, and inclusive AI technologies. She is a member of SmartData@PoliTO, the GEDI Observatory for Gender Equality, and serves in leadership roles related to social affairs and community policies at the university level. She also acts as a scientific advisor for the partnership with Accenture. Her research interests span Data Science , Concept-Drift Management , Database Systems , Conversational Data Science , and Industry 4.0 . She applies AI and machine learning to industrial, societal, and ethical challenges, particularly in promoting inclusive communication and gender equality in research. The most recent publications highlight her work in explainable AI, concept drift detection, multimodal diagnostics, and AI for social good. Her research integrates machine learning, natural language processing, and computer vision to address real-world problems in manufacturing, healthcare, agriculture, and education. She is an Associate Editor for several prestigious journals including Expert Systems with Applications , Computer Networks , Future Generation Computer Systems , and Knowledge and Information Systems . She has served on the program committees of major conferences such as ECML PKDD, EDBT/ICDT, and ACM KDD, and has been a reviewer and selection committee member for ETH Zurich and EMPA. She actively supervises PhD students and teaches a wide range of courses including Data Science and Database Technologies, Business Intelligence for Big Data, and Gender and Diversity in Research. She is involved in multiple national and international research projects such as E-MIMIC, WEBFARE, and EnABLES, focusing on inclusive AI, smart data, and industrial applications. Her lab affiliations include the DBDM - Database and Data Mining Group (DAUIN) and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory , where she contributes to advancing data science methodologies and their societal impact.

Jaron Minkمشاهده پروفایل

استادیار

• Usable Security
• Machine Learning
• System Security
• +۵ مورد دیگر

Jaron Mink is an Assistant Professor at Arizona State University's School of Computing and Augmented Intelligence, leading the Human Aspects in cyber Protections and Privacy Lab (Happy Lab). His research focuses on the intersection of usable security, machine learning, and system security, particularly exploring how human factors impact ML security. He holds a Magna Cum Laude from UCLA and completed graduate studies at the University of Illinois at Urbana-Champaign (UIUC), where he served as a Teaching Assistant and Guest Lecturer in Computer Security courses. Education: University of California, Los Angeles (UCLA) - Bachelors (Magna Cum Laude) University of Illinois at Urbana-Champaign (UIUC) - PhD in Computer Science Research Interests: Human-ML Interaction Dynamics Deepfake Detection and User Perception Adversarial ML Defense Adoption Barriers User Trust in Security Tools Privacy-Preserving Technology Design His work bridges technical security solutions with human-centric usability challenges, emphasizing real-world application in social media, fitness apps, and enterprise systems. Recent Publications: Focus on quantifying sociodemographic influences in security behaviors, analyzing deepfake moderation biases, and evaluating ML security tool usability across industries. Awards: Google Research Scholar Program NSF Graduate Research Fellowship Teaching: Instructs courses like Information Assurance and Trustworthy Human-ML Interaction at ASU, previously teaching Computer Security II at UIUC. Labs/Teams: Directs the Happy Lab, actively recruiting PhD students to tackle challenges in human-centric cybersecurity and privacy. Hobbies: Passionate about vintage dance styles (Lindy Hop, Blues, Balboa) and strategic board games like Spirit Island and War of the Ring .

Tharindu P. De Alwisمشاهده پروفایل

استادیار

• High-dimensional Multivariate Statistics
• Sufficient Dimension Reduction
• Dimension Reduction
• +۹ مورد دیگر

Dr. Tharindu P. De Alwis is an Assistant Professor in the Department of Mathematics and Statistics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He is actively engaged in teaching and research, with a focus on high-dimensional data analysis and machine learning applications. Ph.D. in Mathematics (Statistics), Southern Illinois University Carbondale M.S. in Mathematics, Southern Illinois University Carbondale B.Sc. in Statistics and Operations Research, University of Peradeniya, Sri Lanka His research centers on dimension reduction techniques, particularly Sufficient Dimension Reduction (SDR), envelope methods, and their applications in multivariate time series and spatial-temporal data. He integrates deep learning and neural networks into statistical modeling, with recent work on stacking-based deep neural networks and Fourier-based SDR methods. His work bridges statistical theory with practical machine learning applications in complex datasets. His recent publications (2021–2024) demonstrate a strong focus on developing innovative statistical and machine learning methods for time series and high-dimensional regression. Key themes include nonlinear modeling, dimension reduction, R package development, and AI-augmented reliability analysis. These works reflect interdisciplinary applications in engineering, data science, and systems safety. Dr. De Alwis has presented his research at national academic conferences in the USA and has publications in peer-reviewed journals such as Statistical Methods & Applications and Reliability Engineering & System Safety , as well as preprints on arXiv and software on CRAN. He teaches a variety of courses including Precalculus with Trigonometry, Linear Algebra, Applied Statistics, and Data Science. While no formal advisees or grants are mentioned, his active publication record suggests ongoing research mentorship and scholarly engagement. He previously served as a post-doctoral scholar at Worcester Polytechnic Institute before joining UWF.

• Immersive virtual reality in education
• AI ethics in educational technology
• Digital learning and equity
• +۳ مورد دیگر

Associate Professor Erica Southgate is a leading researcher at the University of Newcastle , specializing in emerging educational technologies with a focus on virtual reality and AI ethics . Her work bridges digital learning and sociology of education , emphasizing equity in education and technology accessibility for all learners. PhD and BEd from University of Newcastle 2016 Equity Fellow for national research 2017 ASCILITE Innovation Award Southgate's research explores how immersive technologies can transform education through student content creation , ethical frameworks , and curriculum redesign . Recent studies focus on generative AI policy , VR learning environments , and digital footprint management . Her VR School Study demonstrates practical implementation strategies. Key publications include the first VR education book and AI ethics guidelines for Australian Government. She leads the Digital Identity, Curation and Education (DICE) research network and advocates for human rights in educational technology .

• Trustworthy AI
• Software Testing & Verification
• Requirements Engineering
• +۵ مورد دیگر

Prof. Lionel C. Briand is a leading academic in software engineering and trustworthy AI, holding appointments at the University of Ottawa (EECS Department, Nanda Laboratory) and the University of Limerick (Lero - National Software Research Centre). He serves as Director of Lero and Scientific Director of the SnT software verification lab in Luxembourg. His research focuses on software testing, model-driven engineering, AI-driven quality assurance, and regulatory compliance. He has held the Canada Research Chair (Tier 1) since 2003 and led major institutions like Simula Research Laboratory (Norway) and Fraunhofer Institute (Germany). Education & Career: Full Professor at Carleton University (2008–2012) Head of Software Quality Engineering at Fraunhofer IESE (2000–2008) Research Scientist at NASA Software Engineering Lab (1990s) Research Interests: His work spans secure AI systems, automated legal compliance (e.g., GDPR), metamorphic testing, search-based software engineering, and safety-critical systems. He emphasizes practical applications, collaborating with industry partners globally. Awards & Recognition: IEEE Fellow (2010), ACM Fellow (2020) Harlan Mills Award (2012), ERC Advanced Grant (2016) Fellowships from Royal Society of Canada (2023) and Academia Europaea (2025) Grants & Labs: PEARL grant from Luxembourg FNR for SnT lab ERC Advanced Grant for software testing research Leadership roles in Lero and Nanda Lab Publications: Over 500+ papers on testing methodologies, AI ethics, and regulatory compliance. Notable tools include CompAI (GDPR compliance) and Teasma (DNN test adequacy).

Minchen Liمشاهده پروفایل

استادیار

• Computer Graphics
• Machine Learning
• Robotics
• +۴ مورد دیگر

Minchen Li Assistant Professor at Carnegie Mellon University's School of Computer Science (Computer Science Department). Formerly an Assistant Adjunct Professor at UCLA's Mathematics Department. Holds a Ph.D. from the University of Pennsylvania's SIG Center for Computer Graphics, followed by a postdoctoral position there. Research focuses on physics-based simulation, integrating numerical analysis, high-performance computing, and machine learning. Notable contributions include the IPC method for frictional contact simulation and large-scale material point methods. Education Ph.D., Computer and Information Science, University of Pennsylvania (2020) M.Sc., Computer Science, University of British Columbia (2018) B.Eng., Computer Science and Technology, Zhejiang University (2015) Research Interests Advances in physical simulation for visual computing, robotics, and manufacturing. Specializes in robust and efficient methods for solid/fluid dynamics, contact modeling, and GPU acceleration. Combines numerical analysis with machine learning to address challenges in simulation accuracy and versatility. Awards 2021 ACM SIGGRAPH Outstanding Doctoral Dissertation Award 2024 SCA Early Career Researcher Award Advising & Labs Leads the Simulation Intelligence Group (SIG) at CMU Graphics Lab. Advises PhD students Guying Lin, Juntian Zheng, Michael Liu, and Zhaofeng Luo. Collaborates with industry and academic partners on projects like VR-based modeling systems and scalable simulation frameworks.