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Katarína LabudováView profile

Associate Professor

• Margaret Atwood Studies
• Canadian Literature
• Speculative Fiction
• +7 more

Katarína Labudová serves as an Associate Professor at the Department of English Language and Literature within the Faculty of Arts and Letters at Catholic University in Ružomberok, Slovakia. She holds the additional role of Erasmus+ Department Coordinator, facilitating international academic exchanges. Dr. Labudová earned her PhD in Comparative Literatures in 2011 and maintains regular office hours for student consultations on Tuesdays from 10:30-12:00 by appointment. Her research interests center on Margaret Atwood's literary works, particularly examining food motifs within speculative fiction across Atwood's major dystopian narratives. Labudová has extended her scholarly focus to include Angela Carter's writings, fairy tale adaptations, biblical myth reconstructions, and the intersection of narrative theory with cultural studies. Her methodological approach combines feminist criticism, comparative literature analysis, and cultural anthropology perspectives to explore how literature reflects and critiques social power structures. Labudová's publication record reveals a consistent trajectory of scholarly engagement with Atwood's works from 2010-2022, culminating in her 2022 monograph Food in Margaret Atwood's Speculative Fiction and textbook Studying Margaret Atwood: Shifting the Boundaries of Genres . Her articles demonstrate increasing specialization in food symbolism within dystopian literature, with particular attention to how dietary restrictions function as mechanisms of patriarchal control. Recent work has expanded to analyze Slovak and Romani folk narrative traditions alongside contemporary literary adaptations. As an educator, Dr. Labudová teaches courses on British and Canadian literature, bringing her research expertise directly into the classroom. Her academic work bridges literary analysis with cultural critique, examining how narrative forms both reflect and challenge societal norms regarding gender, power, and environmental sustainability. Her contributions to Margaret Atwood scholarship have established her as a significant voice in contemporary Canadian literary studies within Central European academia.

Gaurav NandaView profile

Assistant Professor

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +4 more

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

Stavros ShiaelesView profile

Associate Professor

• Cyber Security
• Malware Analysis
• Anomaly Detection
• +13 more

Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.

Kotaro HaraView profile

Assistant Professor

• Human-Computer Interaction
• Human-Machine Collaborative Systems
• Accessibility Design
• +8 more

Kotaro Hara is a Full-time Faculty Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems. His research focuses on Human-Computer Interaction, Human-Machine Collaborative Systems, and Accessibility Design, with applications in urban mobility, digital transformation, and aging population support. He holds a PhD from the University of Maryland (2016). Research Areas: Accessibility, Crowdsourcing, Future of Work, Urban Sustainability Recent publications explore Augmented Reality for low-vision runners, conversational agents for dementia care, and novel tactile data visualization methods. His work integrates natural language processing, multimodal interfaces, and AI ethics frameworks across diverse domains. Academic collaborations include advising PhD candidate Sheshadri Smitha. Contact: kotarohara@smu.edu.sg

Wolfgang StammerView profile

Researcher

• Explainable AI
• Neuro-Symbolic Architectures
• Concept Learning
• +3 more

Wolfgang Stammer is a PostDoc researcher in the Machine Learning Group at TU Darmstadt's Computer Science Department. His work focuses on making AI models more interpretable and interactive, particularly in explainable AI (XAI), neuro-symbolic architectures, and systematic compositionality challenges in neural networks. He completed his Ph.D. in Machine Learning at TU Darmstadt (2019–2025), an M.Sc. in Computer Science at Goethe University Frankfurt (2016–2018), and a B.Sc. in Cognitive Science at the University of Osnabrück (2011–2015). Research Interests : Stammer's research bridges gaps between human understanding and AI capabilities. Key areas include: Explainable AI (XAI) and interactive machine learning (XIL) Neuro-symbolic integration for logical reasoning and visual concepts Mitigating shortcut learning and confounding factors in datasets Concept discovery and program synthesis for interpretable models Publications : His work spans foundational contributions to AI benchmarks (e.g., V-LoL, SLR-Bench) and frameworks (Neural Concept Binder, Revision Transformers). Recent studies highlight AI's limitations in systematic generalization and propose solutions for aligning reinforcement learning agents with human values. Grants & Labs : He contributes to the Machine Learning Lab at TU Darmstadt and co-organized workshops like the Interactive Machine Learning Workshop @ AAAI 2022. His research bridges theoretical advances with practical applications in healthcare and ethical AI systems.

Nader El-BizriView profile

Professor

• Arabic Sciences and Philosophy
• Architectural Theory
• Phenomenology
• +3 more

Nader El-Bizri is a tenured full Professor of Civilization Studies and Philosophy at the American University of Beirut (AUB), where he previously served as Director of the General Education core program and Associate Dean of the Faculty of Arts and Sciences. He is also an Affiliated Scholar at the University of Cambridge's Department of History and Philosophy of Science and an Associate of King's College. His academic career includes roles at universities such as Harvard, Cambridge, and the London Consortium. El-Bizri holds a PhD in Philosophy (1999) from the New School for Social Research and an MArch-II in Architecture (1994) from Harvard University. His expertise spans Arabic Sciences and Philosophy, Architectural Theory, and Phenomenology, with a focus on historical and cross-cultural intellectual traditions. His research integrates philosophy, science, and architecture, exploring topics like Ibn al-Haytham's optics, Avicenna's metaphysics, and Heideggerian phenomenology. He has edited major works such as the Epistles of the Brethren of Purity series for Oxford University Press and serves on editorial boards globally. His awards include the Kuwait Foundation Prize and a Mellon Fellowship. El-Bizri has advised on cultural projects including the Science Museum, Aga Khan Trust for Culture, and Solomon Guggenheim Museum. His architectural practice spans London, New York, and Beirut, and he has appeared on BBC and France Culture programs. Current research emphasizes the interplay between pre-modern Islamic sciences and modern philosophical frameworks.

Xin WangView profile

Assistant Professor

• Natural Language Processing
• Computer Vision
• Machine Learning
• +6 more

Xin (Eric) Wang is an Assistant Professor in the Computer Science Department at the University of California, Santa Barbara (UCSB) , and serves as Head of Research at Simular AI. His research focuses on Multimodal and Embodied AI Agents , blending methodologies from machine learning, computer vision, natural language processing, and robotics. Education: Ph.D. in Computer Science, UC Santa Barbara B.Eng. in Computer Science, Zhejiang University Research Interests: Natural Language Processing Computer Vision Multimodal AI Embodied AI Trustworthy AI Systems His work emphasizes agents that collaborate with humans in complex environments, addressing ethical design and generalizable reasoning. Awards: Best Paper Awards at CVPR 2019 and ICLR 2025 Google Faculty Research Award, 2022 eBay & Cisco Faculty Awards (2022–2024) Amazon Alexa Prize Awards (multiple years) Advising & Grants: Supervised students Dr. Xuehai He and Dr. Jing Gu. Secured grants from Microsoft, Adobe, eBay, and Snap. Organized workshops on vision-language research and embodied AI. Labs/Teams: Leads the ERIC Lab at UCSB, focusing on multimodal agent systems and ethical AI design.

Vanessa Aguiar-PulidoView profile

Assistant Professor

• Bioinformatics
• Machine Learning
• Artificial Intelligence
• +6 more

Dr. Vanessa Aguiar-Pulido is an Assistant Professor in the Computer Science department within the College of Arts and Sciences at the University of Miami. Her research focuses on the intersection of computer science and biomedical sciences, specifically developing computational tools to address challenges in genetic disorders and precision medicine. Her research interests include: Bioinformatics and computational genomics Machine learning and artificial intelligence applications in healthcare Big data analytics for genetic disorders Neural tube defects and spina bifida research Epigenetics and omics data integration Development of algorithms for candidate gene analysis Dr. Aguiar-Pulido's recent publications demonstrate a strong trend toward applying advanced machine learning techniques to understand genetic disorders, particularly neural tube defects and autism spectrum disorder. Her work frequently involves developing novel computational approaches that integrate multiple data types to identify genetic risk factors and biological pathways. A significant portion of her research focuses on spina bifida and epilepsy-related genetic analysis, showing consistent thematic focus in her scholarly output. Her scientific contributions include: Development of RExPRT, a machine learning tool for predicting pathogenicity of tandem repeat loci Creation of EpiPred, a gene-specific model for classifying missense variants in epilepsy-related genes Innovative approaches using embedded feature selection to pinpoint biological pathways in structural birth defects Dr. Aguiar-Pulido leads or participates in several funded research projects: Center for Accelerated Real Time Analytics (CARTA) (2021-2022) - NSF (Project Leader) Epilepsy Multiplatform Variant Prediction (2020-2025) - NIH (Co-Investigator) Progenitor regulation underlying cortical interneuron specification (2018-2023) - NIH (Key Personnel) Risk Genes and Environmental Interactions in Neural Tube Defects (2018-2023) - NIH (Researcher) Hybrid sequencing for improved genetic diagnosis in clinical settings (2019-2020) - Sackler Research Grant (Principal Investigator) She directs the DSaCB Lab, which focuses on developing computational approaches to address challenges in biomedical research, particularly related to genetic disorders. Her lab's work bridges computer science methodologies with real-world clinical applications in precision medicine.

• Blockchain Technology
• Digital Identity Systems
• Technology Adoption
• +5 more

Tamara Heidi Roth is a tenure-track Assistant Professor in the Information Systems Department at the Sam M. Walton College of Business, University of Arkansas. She previously served as a Post Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg and has an interdisciplinary background spanning information systems and educational psychology. Dr. Roth holds two PhDs: one in Information Systems from the University of Luxembourg (2021-2024) and another in Educational Psychology from the University of Bayreuth, Germany (2020-2022). Her educational background reflects her interdisciplinary approach to research that bridges technology adoption with human and organizational factors. Dr. Roth's research focuses on the adoption and integration of emerging technologies, particularly blockchain and digital identity systems, within structured organizational environments such as government agencies and utilities. Her work explores how these technologies can drive innovation while addressing cultural and structural barriers to implementation. Through an interdisciplinary lens, she examines the intersection of technology, organizational behavior, and human-centric innovation. Her research spans multiple domains including public sector technology implementation, responsible innovation, digital identity systems, and the social implications of emerging technologies. Dr. Roth has published extensively in top-tier journals including the Journal of Information Technology, Government Information Quarterly, Journal of the Association for Information Systems, Nature Machine Intelligence, and MIT Sloan Management Review. Her recent work shows a strong focus on blockchain applications in government, digital identity systems, and the social implications of emerging technologies. She has developed a distinctive research trajectory examining how structured organizations adopt and implement blockchain and digital identity technologies, with particular attention to institutional barriers and cultural factors. Excellent Thesis Award, University of Luxembourg, 2024 (awarded to only the top 10% of Science, Technology, and Medicine PhD graduates) Dr. Roth serves as an Associate Editor for major conferences including the International Conference on Information Systems (ICIS) and has provided editorial reviews for numerous prestigious journals such as Journal of Information Technology, Management Information Systems Quarterly, and Journal of the Association for Information Systems. She teaches undergraduate courses at the University of Arkansas on Information Systems, Artificial Intelligence and Technology Ethics, and Introduction to Business Information Systems. Her research activity spans Innovation Management, Behavioral Research, Responsible Innovation, Organizing Visions, Digital Identities, and both Qualitative and Computationally Intensive Research approaches.

Dokyun LeeView profile

Associate Professor

• Generative AI
• Economics of Unstructured Data
• Human-AI Collaboration
• +5 more

Dokyun Lee is a Kelli Questrom Chair Associate Professor of Information Systems and Computing & Data Science at Boston University , where he founded the Business Insights through Text (BIT) Lab and co-leads the BU Digital Business Institute Generative AI Lab . His research focuses on the responsible application, development, and impact of AI in business, particularly analyzing unstructured data (e.g., text, images) across digital consumer management, platform design, and human-AI collaboration. Education : PhD in Operations, Information & Decisions (Wharton School), MS in Statistics (Yale University), BA in Computer Science (Columbia University) His work addresses Generative AI (unintended consequences, human-integration frictions), Economics of Unstructured Data (content extraction, marketing), and AI Regulation in contexts like advertising, market competition, and creativity. Recent articles explore LLMs in corporate risk nowcasting, generative AI's effects on online communities, and interpretable deep learning for churn management. His research trends span NLP, computer vision, and causal inference, with applications in digital marketing, e-commerce, and innovation analytics. Scientific Awards : INFORMS ISS Gordon B David Young Scholar, INFORMS ISS Sandy Slaughter Early Career, CDO Magazine Leading Academic Data Leader, AMA Don Lehmann Award 2024, MSBA Teaching Award He has secured grants from Adobe, Google, Microsoft, MassMutual, and Prudential Foundation. His labs (BIT Lab, Generative AI Lab) mentor students and collaborate on AI-driven solutions for business challenges.

Alex 'Sandy' PentlandView profile

Professor

• Computational Social Science
• Wearable Computing
• Reality Mining
• +6 more

Alex 'Sandy' Pentland is a Professor of Media Arts and Sciences at the MIT Media Lab, where he helped create and direct both the MIT Media Lab and Media Lab Asia in India. He also serves as a HAI Fellow at Stanford University. Pentland is one of the most-cited computational scientists globally and was named by Forbes as one of the '7 most powerful data scientists in the world.' Pentland's educational background includes undergraduate studies at the University of Michigan and a Ph.D. in artificial intelligence and psychology from MIT. His research spans computational social science, organizational engineering, wearable computing (including Google Glass), image understanding, and modern biometrics. His recent publications reveal a strong focus on the intersection of AI and social systems, with emphasis on human-AI coevolution, data ethics, network science, and the societal implications of digital technologies. His work increasingly addresses critical issues in data privacy, tokenized asset networks, and the social contract in the age of big data, demonstrating his continued leadership in shaping how society understands and manages digital transformation. MIT's Toshiba endowed chair Election to the U.S. Academy of Engineering McKinsey Award from Harvard Business Review 40th Anniversary of the Internet from DARPA Brandeis Award for work in privacy Pentland has advised over 80 PhD students, with nearly half now tenured faculty at leading institutions, a quarter leading industry research groups, and the remainder founding their own companies. His research has attracted significant funding, evidenced by projects like the DARPA Network Challenge where his team won by applying data-driven approaches to crowd coordination. His work on 'reality mining' has led to practical applications in call centers, mental health services, and urban planning. As director of the Human Dynamics group at MIT, Pentland has pioneered sociometric sensors and reality mining techniques. His lab has incubated numerous companies including Ginger.io (mental health services), CogitoCorp.com (AI coaching), Wise Systems (delivery optimization), Sila Money (financial technology), and several others focused on data privacy and AI applications across various sectors.

• Artificial Intelligence in Manufacturing
• Production Engineering
• Circular Economy in Manufacturing
• +4 more

Dr. Amon Göppert serves as Professor and Chair of the Intelligence in Quality Sensing group at RWTH Aachen University's Laboratory for Machine Tools and Production Engineering (WZL). His work integrates artificial intelligence into manufacturing processes to enhance quality control, production efficiency, and sustainable practices. Göppert's research spans intelligent manufacturing systems with core expertise in AI-driven production engineering, circular economy applications, and advanced assembly systems. He investigates how machine learning optimizes production ramp-up, disassembly processes, and flexible manufacturing while developing sensor-based quality control solutions for industrial applications. His recent publications reveal strong trends toward AI implementation in production planning, with emphasis on worker assistance systems for disassembly, digital twin applications for real-time control, and mobile robotics in line-less assembly environments. Key focus areas include sustainable manufacturing, metrology innovation, and adaptive scheduling systems. Göppert leads multiple high-impact research initiatives: AI-driven Product Development: Machine learning for smart measurement strategies in metrology MetaVision Consortium: Industrial metaverse applications for AI-supported vision systems Generative AI for Non-Destructive Testing optimization Cluster of Excellence Internet of Production participation As Chief Engineer at WZL, he oversees technical implementation of research projects and collaborates with industry partners to translate innovations into practical manufacturing solutions, particularly in adaptive assembly systems and quality sensing technologies.

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +7 more

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

• Motor Skills
• Physical Literacy
• Physical Activity Measurement
• +5 more

Professor Lisa Barnett is a leading academic in Physical Activity and Health at Deakin University's Institute for Physical Activity and Nutrition within the Faculty of Health. She currently serves as Associate Head of School for Research and has held progressive academic positions since 2009, advancing from Lecturer to her current Professorship (2022-present). Her internationally recognized work focuses on developing measurement tools and interventions to improve physical literacy, with particular expertise in motor skills assessment. Doctor of Philosophy, University of Sydney Master of Public Health, University of New South Wales Graduate Certificate of Higher Education, Deakin University Bachelor of Social Science, Edith Cowan University Professor Barnett's research has established her as the number one researcher in the world in motor skills according to Expertscape. Her work bridges academic research with practical application through extensive industry partnerships and international collaborations. She developed the pictorial scale for Perceived Movement Skill Competence in 2016, now used in 35 countries, and co-led the development of the Australian Physical Literacy Definition and Framework in 2019. In 2021, she led development of an innovative pictorial tool to measure children's physical literacy for the Australian Sports Commission, requested by researchers from 22 countries across 17 language groups. Her research interests focus on Motor Skills, Physical Self-Perception, Physical Literacy, and Physical Activity measurement and intervention. Her recent publications demonstrate strong continuity in her research program, with 2025 articles focusing on physical literacy measurement tools, motor competence assessment, and interventions targeting children's physical activity. These works show increasing methodological sophistication with applications of artificial intelligence, longitudinal program evaluation, and digital health approaches. Number one researcher in the world in motor skills (Expertscape) Past President of the International Motor Development Research Consortium Co-leads the Physical Literacy Special Interest Group for the Asia Pacific Society of Physical Activity Professor Barnett has secured substantial research funding, including current grants such as 'Culturally adapting the Resistance Training for Teens movement intervention for Middle Eastern adolescent girls' and 'Implementation of a physical activity and physical literacy tool in schools.' She actively supervises doctoral students across diverse topics related to physical literacy, motor competence, and inclusive physical activity practices. Her leadership extends to directing research centers and contributing to national frameworks, demonstrating significant impact beyond traditional academic boundaries. She leads the Institute for Physical Activity and Nutrition research group and has been instrumental in developing international physical literacy standards and assessment tools that are transforming how children's movement skills are measured and developed worldwide.

Kaiwen ChenView profile

Assistant Professor

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +6 more

Dr. Kaiwen Chen serves as an Assistant Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama's College of Engineering, where she is affiliated with the Center for Sustainable Infrastructure. Her research integrates drone robotics, sensor technologies, and Artificial Intelligence to revolutionize building diagnostics and performance simulation. Her academic credentials include: Ph.D. in Environmental Design and Planning from Virginia Polytechnic Institute and State University (2020) M.Sc. in Management in Science and Technology from Southeast University (2016) B.S. in Construction Project Management from Southeast University (2013) Dr. Chen's research program focuses on innovations in the AECO field, with core expertise in drone-based imaging systems, 2D/3D data processing, infrared thermography, high-performance computing, and building energy modeling. Her work bridges advanced computational techniques with practical infrastructure challenges, particularly in building envelope diagnostics and pavement inspection. Analysis of her 15 most recent publications (2024-2025) reveals dual research thrusts: primary focus on AI-driven construction applications (digital twins, thermal anomaly detection, UAV-based surveys) and significant contributions to wireless power transfer systems. This interdisciplinary scope demonstrates exceptional versatility in applying cutting-edge computational methods to both civil infrastructure and electrical engineering challenges. Her scientific recognition includes: Runner-Up for 5th Annual ASCE VIMS Datathon Competition (2024) Virginia Tech Outstanding Dissertation Award (2020) ASCE i3CE Best Paper Award (2019) Dr. Chen leads externally funded research initiatives including a US Department of Energy project on aerial intelligence for building envelope diagnostics and a Georgia Department of Transportation project on drone-assisted pavement inspection. These grants demonstrate her ability to secure competitive funding for high-impact infrastructure research. As an active contributor to the Center for Sustainable Infrastructure, she advances research in sustainable infrastructure systems through the integration of drone technologies, AI analytics, and digital twin methodologies for comprehensive infrastructure assessment and management.