جست‌وجوی استاد و پژوهشگر

Andrea Pesceمشاهده پروفایل

مدرس

• Biology Education
• Undergraduate Research
• Curriculum Design
• +۳ مورد دیگر

Andrea Pesce is a Lecturer in the Department of Biology at James Madison University since 1992. She serves as lab coordinator for introductory biology courses and played a key role in redesigning the 2016 curriculum. Her instructional focus includes evolution, organismal structure/function, and ecology. She leads development of CURE (Course-Based Undergraduate Research Experiences) labs, coordinating lab materials and instructor training. Education: M.S. Biology (1982, University of Michigan), B.A. Biology (1979, University of Virginia). She authored numerous lab modules and edited the BIO114 lab manual (2002-2016), with selected materials now part of the Biology Library at Hayden McNeil. Her work emphasizes integrating authentic research experiences into foundational coursework, fostering student engagement through hands-on genomic analysis projects. This approach has been published in CourseSource and presented through NIBLSE initiatives.

John Hodgesمشاهده پروفایل

استاد مدعو

• Video Production
• Multimedia Technology
• Educational Technology
• +۲ مورد دیگر

John Hodges is Staff Emeritus of the School of Media Arts and Design (SMAD) at James Madison University, where he served as Technology Manager from 1999 until his retirement in February 2025. He concurrently works as an Adjunct Professor at JMU, teaching video and multimedia production. Hodges holds a Master’s in Educational Technology (in progress) and has extensive experience in broadcast production, post-production, and educational technology. Education: Pursuing Master’s in Educational Technology (JMU, anticipated completion). Research & Expertise: Hodges specializes in video production techniques, multimedia technology integration, and educational applications of media tools. His career includes 20 years at Virginia Public Television, where he directed award-winning documentaries and managed production teams. He is an Apple Certified Instructor and has expertise in editing software like Final Cut Pro and legacy systems such as the Sony RM440 and Grass Valley VPE-41. Awards: Recipient of The Telly Award for Virginia Outdoors. Virginia Association of Broadcasters Best Documentary for Virginia Outdoors. Emmy nomination for In the Garden with The Viettes. Teaching & Outreach: Beyond JMU, Hodges mentors Boy Scouts in video merit badges and collaborates with local high school television studios. His passion lies in democratizing access to video production education through innovative pedagogical approaches. Labs & Teams: As SMAD’s Technology Manager, he oversaw the school’s technical infrastructure, ensuring alignment with evolving media production standards.

Xiaoyi Jiangمشاهده پروفایل

استاد

• Image Analysis
• Pattern Recognition
• Machine Learning
• +۳ مورد دیگر

Xiaoyi Jiang is a Professor at the Institute of Computer Science at the University of Münster, leading the Jiang Lab focused on Pattern Recognition and Image Analysis. He holds roles in the CiM-IMPRS Graduate Programme Management Board and participates in projects like the Multiscale Imaging Centre. His research emphasizes biomedical image analysis, machine learning, and medical applications such as tumor segmentation, vessel network extraction, and automated tracking systems for small organisms. Key contributions include FIMTrack software for locomotion analysis, the Voreen visualization framework, and complex-valued neural network architectures. He has authored over 200 papers and holds patents in imaging and segmentation technologies. His work bridges computer science with medical and biological applications, aiming to solve challenges in automated analysis and interpretation of biomedical data.

Sun Sun Limمشاهده پروفایل

استاد

• Social Impact of Technology
• Technology Domestication
• AI Ethics
• +۳ مورد دیگر

Sun Sun Lim is a Professor of Communication and Technology at Singapore Management University (SMU) and Vice President of Partnerships and Engagement. Previously, she held leadership roles including Head of Cluster (Dean) of Humanities, Arts, and Social Sciences at Singapore University of Technology and Design, and Assistant Dean for Research at National University of Singapore. She holds a PhD in Communication. Her research focuses on technology domestication by families and youth, AI ethics, digital parenting, and the social impact of technology. She has authored influential works such as Transcendent Parenting: Raising Children in the Digital Age and co-edited The Oxford Handbook of Mobile Communication and Society . Lim has received over $11 million in grant funding for research projects. Lim is a Fellow of the International Communication Association and Singapore Computer Society, and a recipient of the Singapore 100 Women in Tech 2020 and Top 50 Asia Women Tech Leaders Award 2024. She served as a Nominated Member of Parliament (2018–2020), advocating for AI governance, digital rights for children, and gender equity in tech. Her work bridges academia and public policy, with active roles in the Media Literacy Council and Social Science Research Council. Lim teaches courses on media theory and digital culture, winning eight teaching awards including the NUS FASS Teaching Excellence Innovation Award. She advises graduate students in communication and technology fields.

• Music Production
• Audiovisual Media
• Spatial Audio
• +۵ مورد دیگر

Christos Manolas is an Associate Professor and Course Leader in Music and Sound Production at Ravensbourne University London. His career spans over 25 years in music technology, sound design, and software development. He holds a PhD in Stereoscopic 3D Media (Sound) and multiple postgraduate degrees in related fields. Former roles include Senior Lecturer at Rose Bruford College (2018–2019) and Audio Production Lecturer at SAE Institute (2017–2019). Expertise: Stereoscopic 3D media, spatial audio, virtual/augmented reality, and digital media education. Research explores auditory cues in 3D cinema, multimodal perception, and technology's impact on creative industries. His work includes co-editing the Handbook of Computer Programming with Python (2022) and pioneering studies on sound design for immersive media. Publications address topics like VR application development, data privacy in emerging technologies, and integrating immersive tech into education systems.

David MacDonaldمشاهده پروفایل

دانشیار

• Music Composition
• Music Technology
• Notation Software
• +۱ مورد دیگر

David MacDonald is Associate Professor of Music Theory and Composition at Wichita State University, serving as Graduate Coordinator and Area Coordinator of Musicology and Composition. His creative and scholarly work bridges composition, music technology, and notation software development. Education includes DMA and MM from Michigan State University. Research focuses on digital notation workflows, interactive performance systems, and technology-enhanced music education. Recent compositions include works addressing contemporary issues such as Music for Social Distancing for remote ensembles. Writes extensively on music technology for Scoring Notes, reviewing notation software and digital tools. Board member of Null-state, promoting computer music research.

• Algorithmic Number Theory
• Computer Arithmetic
• Cryptology
• +۳ مورد دیگر

Guillaume Hanrot is a Professor at ENS Lyon, affiliated with the LIP laboratory and the Arenaire research group (an INRIA project-team). He serves as Vice-President of INRIA's Evaluation Committee and Deputy Director of the Computer Science Department at ENS Lyon. His research focuses on algorithmic number theory, computer arithmetic (including correct rounding and polynomial approximation), and cryptology, particularly lattice algorithms. He contributed to the development of the MPFR library and the PARI system as free software. Previously, he was a part-time associate professor at École Polytechnique until 2005 and an INRIA researcher at INRIA Nancy Grand Est leading the Cacao project until 2009. His work includes seminal contributions to lattice reduction algorithms, Diophantine equations, and effective methods in number theory. Publications span topics like lattice-based cryptography, floating-point arithmetic, and algorithm optimization. He has edited conference proceedings for RNC'7 and ANTS'9. His academic trajectory includes a PhD from Bordeaux 1 (1997) and an habilitation (2005).

Francisco Delgadilloمشاهده پروفایل

عضو هیئت علمی

• Operations Management
• Lean Manufacturing
• Ethics in Information Systems
• +۳ مورد دیگر

Francisco Delgadillo is an Associate Professor of Practice in the Information Systems and Quantitative Sciences (ISQS) department at the Rawls College of Business, Texas Tech University. He holds a PhD in Production/Operations Management from Texas Tech, an MBA from the same institution, and a BS in Electrical Engineering from the University of Notre Dame. His research focuses on operations management, lean manufacturing, and ethics in information systems. He has pioneered innovative teaching methods, including online course development and strategies to enhance student participation, resulting in consistently high student evaluations. Dr. Delgadillo has led study abroad programs to Spain and Mexico, organizing company visits to enhance students’ understanding of global operations. He has also been instrumental in diversity initiatives, founding the Multicultural Student Business Association (MSBA) and Rawls Women in Business to support underrepresented students. His leadership roles include serving on the Texas Tech Seville Center Advisory Board and university-wide diversity committees. He has authored three editions of a leading textbook on information systems in business and contributed to peer-reviewed journals on quality management and sampling methods. His accolades include the Rawls Excellence in Teaching Award and multiple Mortar Board recognitions. Delgadillo’s service extends beyond academia, including roles as a faculty advisor for student organizations and community outreach through the Humane Society of West Texas.

Qiang Xuمشاهده پروفایل

مدرس ارشد

• Creep Damage Mechanics
• Computational Modeling
• Machine Learning
• +۵ مورد دیگر

Dr. Qiang Xu is a Senior Lecturer in Mechanical Engineering at the School of Computing and Engineering, University of Huddersfield. He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems, and High-Performance Computing. Dr. Xu holds a PhD from the University of Birmingham (1997) and has extensive experience in creep damage mechanics, computational modeling, and machine learning applications. His research focuses on material degradation, software development, and interdisciplinary applications in engineering and education. Key research interests include creep cavitation modeling, multiaxial creep damage constitutive equations, and the integration of AI in teaching and learning. He has authored over 100 publications, including edited books and peer-reviewed articles in top journals. Dr. Xu has supervised 9 PhD students as main supervisor and actively contributes to the academic community through conference organization, grant reviews, and journal editing roles. Notable recognitions include top author status for influential papers in creep damage mechanics and over 42,000 reads on ResearchGate. His work aligns with UN Sustainable Development Goals related to innovation and sustainable industrialization. Professional activities include editorial roles for Science Progress and involvement in conferences like the International European Collaborative Creep Committee Conference. His contributions span industry collaborations with EPSRC, HSE, and EC-funded projects, emphasizing practical applications of theoretical research.

• Database Systems
• Software Engineering
• Data Integration
• +۳ مورد دیگر

Roger King is a seasoned researcher with over 40 years of contributions to computer science, particularly in database systems, software engineering, and data integration. His work spans heterogeneous database management, semantic modeling, and distributed systems, often collaborating with leading institutions like University of Colorado and Springer. 1987: Co-authored foundational paper on semantic database modeling in ACM Computing Surveys 1992: Developed FaceKit database interface design toolkit 1994: Pioneered DIRECT query facility for multiple databases Research Interests: King's work focuses on database integration , semantic interoperability , and self-adaptive systems . Notable projects include Sybil for database evolution, Cactis for object-oriented databases, and COIL mediator definition language. Key Trends: His 15 most recent publications (2024-1999) address challenges in smart data systems , autonomous systems performance , and microgrid control , reflecting sustained expertise in data semantics and system architecture.

• Second Language Acquisition
• Bilingualism
• Linguistics
• +۳ مورد دیگر

Joseph Casillas is an Associate Professor and Undergraduate Program Director at Rutgers, The State University of New Jersey. He holds a Ph.D. from the University of Arizona and is affiliated with the Department of Latin American, Iberian, and Luso-Afro-Brazilian Literatures and Cultures (LAILAB). His research focuses on bilingualism, second language acquisition (SLA), and phonetics, with particular attention to prosody, lexical access, and quantitative methodologies. Casillas is dedicated to advancing open science practices and reproducible research in linguistics. His educational background includes a Ph.D. in a field related to linguistics, though the specific discipline is not explicitly stated. His work integrates experimental methods, statistical modeling, and computational tools to investigate bilingual speech patterns, language processing, and the impact of sociolinguistic factors on linguistic structure. Key research themes include bilingual speech communities, the role of empathy in L2 prosody perception, and the interplay between proficiency, exposure, and linguistic representation. His recent publications emphasize reproducibility and transparency in linguistic research, advocating for collaborative frameworks to enhance methodological rigor. Casillas advises Ph.D. students and teaching assistants, contributing to the academic development of the next generation of linguists. His lab or research team’s activities are detailed on his personal website (https://www.jvcasillas.com/), though specific grant details are not provided in the text.

Marcin Paprzyckiمشاهده پروفایل

دانشیار

• Computer Science
• High Performance Computing
• Parallel Algorithms
• +۱۴ مورد دیگر

Marcin Paprzycki is an Associate Professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw, Poland. He has previously been affiliated with institutions including Oklahoma State University, University of Southern Mississippi, and University of Texas of the Permian Basin. His research focuses on high-performance computing, parallel algorithms, software agents, and their applications in grid systems, e-commerce, and personalized information provisioning. He also explores computational mathematics (e.g., structured linear systems and spectral methods), distributed computing, and optimization techniques. Additionally, he is involved in education philosophy, examining the impact of technology on learning and computers in mathematics education. Journal Editing: Editor of Scalable Computing: Practice and Experience , Annals of Computer Science and Information Systems Book Series , and others. Conference Organization: Develops the Conference on Computer Science and Intelligence Systems (FedCSIS), including proceedings and predecessor IMCSIT series. Philosophy: Engages in social philosophy and philosophy of science, though these are secondary to his technical work. His roles include conference coordination (e.g., FedCSIS'23 in Warsaw) and journal management, emphasizing interdisciplinary research and education. He has maintained a CV in PDF format and profiles on Google Scholar and ResearchGate (though less actively updated).

Alexandr Andoniمشاهده پروفایل

دانشیار

• Algorithmic Foundations of Massive Data
• Sublinear Algorithms
• High-Dimensional Computational Geometry
• +۴ مورد دیگر

Alexandr Andoni is an Associate Professor in the Department of Computer Science at Columbia University and a member of the Data Science Institute. His research focuses on the algorithmic foundations of massive data, including sublinear algorithms, high-dimensional computational geometry, and machine learning. He holds a PhD from MIT (2009) under Piotr Indyk, with postdoctoral work at Princeton University and visits at NYU and the Institute for Advanced Study (IAS). He previously worked at Microsoft Research Silicon Valley and the Simons Institute for the Theory of Computing at UC Berkeley. His research interests span sublinear algorithms (streaming, property testing), metric embeddings, and Locality-Sensitive Hashing (LSH). He maintains an active LSH page and the FALCONN software package. He teaches graduate courses on algorithms for massive data and advanced algorithms. Andoni advises a cohort of brilliant researchers, including current students Negev Shekel Nosatzki and Shunhua Jiang, and has mentored former students and postdocs like Ilya Razenshteyn and Peilin Zhong. His work bridges theoretical computer science with practical applications in data analysis and machine learning.

• Software Engineering
• Requirements Engineering
• Natural Language Processing
• +۵ مورد دیگر

Liping Zhao is a Senior Lecturer in Information Management. His expertise spans Software Engineering (SE), Requirements Engineering (RE), Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL). He holds a PhD and MPhil from the University of Leeds. He is a founding member of the Asian Pacific Conference on Pattern Languages of Programs and led the UK’s first multi-disciplinary service science network (2007–2010). He has received IBM Faculty Awards (2004, 2005, 2008) and a Best Tool Demo Award for TRAM (Transforming Textual Requirements into Analysis Models). He serves as an Associate Editor for Springer’s Requirements Engineering and Wiley’s Expert Systems , and guest-edited special issues on topics like Knowledge Intensive Service Systems and Problem Orientation. His research focuses on applying NLP/ML to software engineering tasks, blockchain systems, and service-oriented computing. Key contributions include a theory of pattern-based software design and datasets like FN-REQ (frame-annotated requirements) and TRAM. His work addresses challenges in requirements classification, blockchain architectures, and business problem validation through ML. Recent projects include process mining for blockchain applications, hierarchical classification of software requirements, and developing taxonomies for blockchain systems. His datasets and tools are publicly available via Zenodo and Mendeley, supporting reproducible research and industry collaboration.

Kexin Peiمشاهده پروفایل

استادیار

• Machine Learning for Code
• Program Analysis
• Software Security and Reliability
• +۳ مورد دیگر

Kexin Pei is an Assistant Professor in the Department of Computer Science at the University of Chicago. His research focuses on the intersection of Security, Software Engineering, and Machine Learning, emphasizing data-driven program analysis techniques to enhance software reliability and security. He holds a Ph.D. from Columbia University's Computer Science department. Affiliations: University of Chicago, Google DeepMind (Research Collaboration), Microsoft Research (Past Internship) Education: Ph.D., Computer Science, Columbia University Research interests include Machine Learning for Code, Program Analysis, Software Security, AI & Machine Learning Foundations, and Systems Architecture. His work has received awards such as the Neubauer Family Assistant Professorship (2024), Best Paper Award at SOSP (2017), and Distinguished Artifact Award (2017). Recent publications explore topics like neural program analysis, binary similarity, and cybersecurity evaluation through Capture-the-Flag challenges. He collaborates with industry partners like Google DeepMind to develop program analysis tools using large language models. Awards: Neubauer Family Assistant Professorship (2024) Google Conference Scholarship (2023) CSAW Applied Research Competition Runner-Up (2018) Grants/Projects: Leads research on adversarial testing for deep learning systems and neural program smoothing for fuzzing. Active in academic service, he serves on program committees for top venues like ICSE, CCS, and USENIX Security.