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نمایش ۳۱-۴۳ از ۴۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Anshu Saxena Aroraمشاهده پروفایل

استاد

University of the District of ColumbiaUnited States

Dr. Anshu Saxena Arora is a tenured Professor of Marketing at the University of the District of Columbia’s School of Business and Public Administration. She directs the AI, Social Robotics & Behavioral Research Lab and the Logistics & International Trade (LIT) Analytics Center of Excellence, focusing on AI-driven marketing, social robotics, and ethical AI governance. Ph.D. in Marketing and Technology (IIT New Delhi) Certificate in Robotics & Automation Essentials (MIT) PMP Certification (Project Management Institute) MBA in Marketing & Technology (FORE School of Management) B. Tech in Electrical & Electronics Engineering (Jamia Millia Islamia) Her research spans social robotics for autism spectrum disorder and underrepresented minority women, ethical AI governance across US/EU/China, and human-robot interaction dynamics. She employs mixed-methods research including PLS-SEM, textual analysis, and sentiment analysis. Her NSF-funded projects integrate AI and robotics into STEM-business programs while promoting women’s workforce development. Recent publications highlight her work on social-educational robotics , AX̂IS robotics , chatbot cybersecurity , and inclusive technology applications . She has received the AACSB Innovations Award, WOC STEM Technology Rising Star Award, and Fellow status in the Academy of International Business Southeast. As founding director of two research centers and leader of NSF-funded international study programs, Dr. Arora combines academic leadership with technological innovation . Her lab initiatives explore social robotics for special education and women’s STEM empowerment, while her teaching portfolio includes digital marketing, AI-driven consumer behavior, and advanced robotics applications.

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Sorin Lernerمشاهده پروفایل

استاد

University of California, San DiegoUnited States

Sorin Lerner is a Professor and Chair of the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). His research spans programming languages, program verification, security/privacy, and human-computer interaction (HCI). He actively seeks graduate students and postdocs to join his research group. Education: PhD in Computer Science, University of Washington (2006) Research Interests: Sorin’s work focuses on applying programming language techniques to program verification, security, and live programming environments. His projects include the Rango system for retrieval-augmented proving, Projection Boxes for live programming visualization, and Radar for concurrent program analysis. He also explores gamification in education through Proof Games and Code Spells. Awards: Recipient of the PLDI 2003 Best Paper Award ICSE 2025 Distinguished Paper Award for Rango Teaching: Sorin teaches courses on programming languages (CSE 130, CSE 230), compilers (CSE 231), and specialized topics in automated theorem proving (CSE 291). He emphasizes live programming and interactive tools to enhance learning. Lab & Collaborations: Leads the PL@UCSD research group, collaborating with institutions like Microsoft, Google, and The University of Texas at San Antonio. Projects often involve cross-disciplinary efforts in software reliability, formal methods, and educational technology.

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Yuzhen Zhuمشاهده پروفایل

استادیار

University of East AngliaUnited Kingdom

Yuzhen Zhu is an Assistant Professor in Digital Business at the Norwich Business School (University of East Anglia), part of the Innovation, Technology, and Operations Management Group. He holds a PhD in Information Systems Management from the University of Sheffield (2019–2023) and previously served as a postdoctoral research associate at the University of Cambridge’s Institute for Manufacturing. His research focuses on the business and organizational implications of emerging digital technologies like quantum computing, generative AI, and ICT platforms. He employs both qualitative methods (e.g., grounded theory, ethnography) and quantitative/mixed approaches (e.g., FsQCA, PLS-SEM), often using theoretical frameworks such as affordance theory and sociomateriality within contexts like Living Labs and Industry Ecosystems. Education: PhD in Information Systems Management, University of Sheffield (2019–2023) MSc in Information Systems Management Research interests span digital transformation, AI-human interactions, cross-boundary collaborations, and knowledge management. His work bridges academia and industry, emphasizing interdisciplinary collaboration. Notable publications include studies on AI in UX design, strategic crisis responses in tourism, and ICT-driven inter-organizational knowledge exchange. He actively reviews for top journals and conferences in information systems management. His research trends emphasize emerging technologies’ societal impact, with a focus on innovation ecosystems and collaborative frameworks. Though no explicit grants or awards are mentioned, his work has been cited widely, reflecting its academic relevance. Yuzhen collaborates with industry partners and contributes to Living Lab initiatives, exploring how digital technologies evolve through collective efforts in organizational and societal contexts.

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Steven Ayerمشاهده پروفایل

دانشیار

University of ColoradoUnited States

Steven Ayer is an Associate Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder, serving as Faculty Director for Civil Engineering. He leads the Emerging Technologies Building Information Modeling Lab, focusing on leveraging augmented reality (AR), virtual reality (VR), and other emerging tools to enhance construction project delivery with a human-centric approach. His research emphasizes improving human performance through technology, spanning areas like construction management education, design quality, field communication, and facility maintenance. Dr. Ayer holds a PhD and dual Bachelor's/Master's degrees in Architectural Engineering from The Pennsylvania State University. His work is funded by federal, state, and industrial partners, yielding both academic and practical contributions. Key themes include authentic learning experiences through mixed reality, bridging industry-academia gaps, and optimizing technology adoption in construction processes. His articles consistently address AR/VR applications in safety training, communication efficiency, and educational innovation. Recent studies highlight the role of emotional engagement in decision-making and the challenges/barriers to AR implementation in real-world construction scenarios. Dr. Ayer advocates for technology that empowers practitioners rather than prioritizing innovation for its own sake. Funding sources include federal grants and industry collaborations, enabling data-driven insights into technology efficacy. His lab actively engages in translating research into actionable practices for the AECO sector, emphasizing maintainable built environments and sustainable design education.

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Daniel W. Barowyمشاهده پروفایل

دانشیار

InriaFrance

Daniel W. Barowy is an Associate Professor in the Department of Computer Science at Williams College . His research focuses on programming languages , particularly end-user programming , crowdsourcing , and spreadsheet debugging . He integrates program analysis with statistical techniques to improve software usability and robustness. Current affiliations: Williams College (2017-present) Education: University of Massachusetts Amherst (PhD, 2017) His research explores language abstractions for human-computer integration , with notable projects like ExceLint (spreadsheet error detection), FlashRelate (spreadsheet data extraction), and Riker (incremental build systems). He emphasizes artifact verification , securing PLDI 2015 Distinguished Artifact Award and USENIX ATC 2022 Best Paper . Recent publications demonstrate trends in spreadsheet reliability , crowdsourcing frameworks , and scalable educational tools . He has received "Artifact Verified" badges for multiple projects and actively contributes to software tool development , including AutoMan , ExceLint , and CheckCell . USENIX ATC 2022 Best Paper PLDI 2015 Distinguished Artifact Award Multiple "Artifact Verified" badges As an educator, he teaches CSCI 334: Principles of Programming Languages and CSCI 331: Computer Security . His work bridges theoretical PL research with practical applications in spreadsheet programming and crowdsourcing platforms .

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Sabrina Šumanمشاهده پروفایل

استاد

Polytechnic of RijekaCroatia

Dr. Sabrina Šuman is a Professor of Professional Studies at the University of Rijeka, Croatia. She teaches courses including Information Systems for Management, Decision Support Systems, Programming Basics, and IoT-related subjects. Her research focuses on Data Science, Artificial Intelligence, Cloud Computing, and Quality Management, with a strong emphasis on practical applications in education and business. She actively contributes to the development of IoT educational programs and cloud migration strategies. Her work spans database systems, sentiment analysis, and propaganda detection in digital contexts. She is affiliated with the Veleri-OI IoT School and has advised numerous projects in her field. Office hours are held on Monday and Thursday, and she coordinates student internships and professional practices. Her research interests include leveraging graph databases (Neo4j), analyzing customer behavior in travel agencies, and improving educational outcomes through IoT integration. She has published extensively on topics such as hierarchical clustering in education, cloud platform comparisons (AWS vs. OpenShift), and standards compliance in database systems. Her work often bridges theoretical models with real-world implementations, such as the Veleri-OI Meteo System web application. Key contributions include frameworks for knowledge-based data modeling, NLP-driven solutions for entity-relationship modeling, and methodologies for evaluating hotel reviews using sentiment analysis. She emphasizes practical educational tools and cloud migration guidelines for businesses, reflecting her dual focus on academic research and industrial application.

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Mark Santolucitoمشاهده پروفایل

استادیار

Columbia UniversityUnited States

Mark Santolucito is an Assistant Professor of Computer Science at Barnard College, Columbia University. He holds a PhD in Computer Science from Yale University, where his research focused on program synthesis and computer music. His current work explores program synthesis techniques to enhance programmer productivity, particularly in lowering barriers to entry for underrepresented groups and optimizing workflows for advanced developers. He leads the Barnard PL (Programming Languages) Labs, which develops tools like TSL (Temporal Stream Logic) for synthesizing reactive systems and analyzing infrastructure-as-code (IaC). His research intersects formal methods with creative applications in music and live coding, emphasizing accessibility and usability. Education: PhD in Computer Science (Yale University), focusing on program synthesis and computer music. Research interests include program synthesis, temporal logic specifications, infrastructure configuration analysis, and music technology. He emphasizes human-centered design in his work, aiming to make programming more accessible through tools like TSL and interactive synthesis environments. Projects include TSL Move Cube, Block-based Editor for Temporal Logic, and Spiral Analysis for medical software migration. Notable contributions include developing TSL synthesis pipelines, optimizing Arduino configurations, and exploring static analysis for cost prediction in cloud deployments. His work bridges theoretical foundations with practical applications in both software engineering and creative computing. Labs/Teams: Leads Barnard PL Labs, collaborating on projects like TSL Synthesis Engine and Static Analysis for IaC. Active in workshops such as SEConfig and FMCAD.

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Fabio Palombaمشاهده پروفایل

دانشیار

University of GenoaItaly

Fabio Palomba is an Associate Professor at the Department of Computer Science , University of Salerno, Italy. He earned a European PhD in Management & Information Technology (2017), funded by University of Salerno and University of Molise, under advisor Prof. Andrea De Lucia. His research spans software maintenance and evolution , empirical software engineering , and ML systems quality . Recipient of IEEE Computer Society Best PhD Thesis Award (2017) Multiple Distinguished Paper Awards from ACM/SIGSOFT and IEEE/TCSE Recipient of prestigious SNSF Ambizione grant (2019) and IEEE Rising Star Award (2023) His work investigates fairness-aware practices in ML , technical debt in AI systems , and LLM applications in software engineering . Recent studies focus on automated requirements generation via RECOVER, quantum software engineering , and socio-technical community smells in ML-enabled systems, with empirical analyses across large datasets. Key editorial roles include Elsevier's Information and Software Technology Journal (2022-), Springer's Empirical Software Engineering Journal (2021-), and IEEE Transactions on Software Engineering (2020-). He has served as program co-chair for SANER 2024 , ICPC 2021 , and multiple conference tracks. 16 Distinguished Reviewer Awards for his refereeing work Co-authored 80+ journal papers , 100+ conference papers , and advised 300+ theses

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Karen E. Rambo-Hernandezمشاهده پروفایل

دانشیار

Texas A&M UniversityUnited States

Dr. Karen E. Rambo-Hernandez is the Interim Head and Associate Professor in the Department of Teaching, Learning and Culture at Texas A&M University's College of Education and Human Development. She holds a Ph.D. in Educational Psychology from the University of Connecticut (2011). Her research focuses on multilevel modeling applications in STEM education assessment, equity in gifted education identification, and inclusive pedagogical practices. She teaches advanced research methods courses and has secured over $5 million in NSF/DOE funding. Education: Ph.D. in Educational Psychology (Measurement, Evaluation, & Assessment) from University of Connecticut (2011). Research emphasizes novel statistical methodologies to address systemic inequities in education access. Recent work examines pandemic impacts on engineering education, teacher rating biases in gifted identification, and team-based learning efficacy in mathematics education. Advising: Supervised 12 doctoral/EdD and 11 master's students, serving on 22 graduate committees. Her mentorship focuses on preparing scholars to conduct rigorous equity-centered research. Labs/Initiatives: Leads projects on inclusive engineering identity development, computational thinking teacher training, and pandemic education response studies. Collaborates with national STEM education networks.

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Pamela Estellمشاهده پروفایل

استادیار

Chaminade University of HonoluluUnited States

Pamela Estell, Ph.D., is an Assistant Professor of Management, Human Resources, and Organizational Behavior at Chaminade University of Honolulu, affiliated with the School of Business and Communication. She serves as the Chair of the Curriculum Committee and teaches courses such as Business Communication, Human Resource Management, Organizational Leadership, Career Development, and Social Media Communication. Her academic background includes a Ph.D. in Communication and Information Sciences from the University of Hawaii at Manoa, an M.A. in Communication Studies (organizational communication) from the University of the Pacific, and dual B.A. degrees in Business Administration and Management & Organizational Communication from Point Loma Nazarene University. Dr. Estell’s research focuses on the intersection of human behavior, organizational communication, and information technologies. She investigates how workplace technologies—especially enterprise social media—affect employee engagement, productivity, and organizational performance. Her methodological expertise includes Partial Least Squares Structural Equation Modeling (PLS-SEM) for testing complex behavioral models. Her recent publications and presentations at HICSS and the Academy of Management reflect a strong trajectory in digital organizational behavior and sociotechnical systems. Her work has appeared in Internet Research , and she contributes as an ad-hoc reviewer for top journals and conferences including Internet Research , Transactions on Social Computing , HICSS, and AOM. Research presented at Hawaii International Conference on Systems Sciences (HICSS) Published in Internet Research Reviewer for Transactions on Social Computing , HICSS, AOM She advises on curriculum development and contributes to academic service through peer review and committee leadership. While no formal advisees are listed, she mentors students through teaching and career development courses. There is no mention of specific labs or research teams, but her interdisciplinary work bridges business, communication, and information sciences.

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Lee Sue Hanمشاهده پروفایل

مدرس ارشد

Swinburne University of TechnologyAustralia

Dr. Lee Sue Han serves as Senior Lecturer and Head of Department for Information and Communication Technologies at Swinburne University of Technology Sarawak's Faculty of Engineering, Computing and Science. She joined Swinburne in April 2020 following post-doctoral research with Pl@ntNet (CIRAD and INRIA) in France. Her academic credentials include a BEng (Hons) in Electronic Engineering from Multimedia University (2011), MSc in Electrical and Electronic Engineering from Shinshu University, Japan (2014), and PhD in Computer Science from University of Malaya (2018). Dr. Lee's research bridges artificial intelligence and plant biology, focusing on computer vision, machine learning, and deep learning applications for plant disease identification, cross-domain classification, and environmental monitoring. Her work explores how deep learning models interpret botanical features and align with human perception in disease diagnosis, with significant contributions to automated plant health systems. Recent publications (2021-2022) demonstrate advanced work in multi-task learning for disease identification, global-scale plant recognition, and interpretable AI models. Her research consistently appears in top venues including Frontiers in Plant Science, IEEE Transactions, and Pattern Recognition. Her accolades include the 2022 Outstanding Student Feedback on Teaching award, 2022 Swinburne Research Success Award, and Best Paper Awards in 2020 and 2018. She actively secures research funding as PI for FRGS 2021 and co-PI for FRGS 2022 and SDEC 2021 projects. Dr. Lee supervises research in generative models, sign language production, drug discovery, animal re-identification, and plant disease modeling. She maintains international collaborations initiated during her France-based post-doctoral work and participates in global challenges like PlantCLEF.

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Chandrakana Nandiمشاهده پروفایل

استادیار

National and Kapodistrian University of AthensGreece

Chandrakana Nandi is the Director of US R&D at Certora and an affiliate assistant professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She completed her PhD at the University of Washington working with Zachary Tatlock and Dan Grossman in the PLSE research group. Her research focuses on building tools for scaling automated formal verification to real-world programs, particularly for DeFi applications. She works extensively with equality saturation techniques (egg project) and has made significant contributions to computational fabrication through projects like Carpentry Compiler, Szalinski, and LambdaCAD. Her work bridges programming languages, compilers, and digital fabrication, creating novel tools that transform how we design and manufacture physical objects. Nandi's publication record shows a strong trajectory in programming language techniques applied to verification and fabrication. Her work on equality saturation has become foundational in the field, with the egg library enabling state-of-the-art results in compiler optimization and program synthesis. Recent work has expanded into formal verification of smart contracts, demonstrating the versatility of her research approach across different domains. Distinguished Paper Award at OOPSLA 2021 Sigplan Research Highlight for POPL 2021 As Director of US R&D at Certora, she leads research efforts on verification tools for languages like WASM and techniques to help users write formal specifications more easily using mutation testing. She has served in numerous organizational roles for major programming languages conferences including as Workshops Co-Chair for ICFP 2025 and Committee Member for PLDI Review Committee. Nandi has established herself as a leader in the intersection of programming languages and computational fabrication, with her work on equality saturation becoming particularly influential across multiple subfields of programming languages research.

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Abeer Alkhwaldiمشاهده پروفایل

استادیار

Dakota State UniversityUnited States

Dr. Abeer Alkhwaldi serves as Assistant Professor in the Department of Information Systems at Dakota State University's College of Business & Information Systems. A globally recognized scholar, she was recently named to Stanford University's Top 2% Scientists List for 2025 (global ranking #80,775), placing her among the world's most influential researchers. Her academic credentials include: Ph.D. in Information Systems, University of Bradford M.S., Mutah University (graduated #1 with Excellency award) B.S., Albalqaa Applied University Dr. Alkhwaldi's research examines digital transformation across business, healthcare, education, and government sectors through three interconnected lenses: Digital Business and Society (FinTech, e-commerce, metaverse adoption), Sustainability and Cybersecurity (green technology, information security), and Emerging Technologies (AI, blockchain, IoT). Her work uniquely integrates Human-Computer Interaction theories with practical technology implementation challenges. Her publication trajectory shows increasing focus on metaverse applications, sustainable technology adoption, and business intelligence in educational contexts, with 6 of her 50+ publications appearing in 2024-2025 alone. These works demonstrate methodological diversity including PLS-SEM, case studies, and theoretical integrations of UTAUT/TAM frameworks. Major recognitions include: Stanford University's Top 2% Scientists List for 2025 Springer Nature Editorial Contribution & Author Service Awards (2025) eBISm SIG Best Reviewer Award (BAM 2024) Mutah University's Excellency award for M.Sc. (rank #1) As an educator, Dr. Alkhwaldi teaches Business Intelligence, Big Data, and Data Science courses while mentoring graduate researchers. She actively contributes to academic discourse through international conference keynotes and editorial leadership, having presented at venues across the UK, UAE, and Türkiye in 2024-2025. Her research program bridges theoretical rigor with practical applications of emerging technologies in real-world organizational contexts. Though no formal lab structure is documented, her international collaborations and editorial leadership indicate a robust research network focused on the societal implications of digital transformation.

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