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Houria OudghiriView profile

Teaching Professor

• Computer Science
• Big Data
• Computer Architecture
• +7 more

Houria Oudghiri is a Teaching Professor in the Department of Computer Science & Engineering at Lehigh University. She earned her PhD in Computer Engineering from McGill University in 1999 and has held academic positions at Ecole Supérieure d’Informatique (Algiers, Algeria), Effat University (Jeddah, Saudi Arabia), and SUNY Polytechnic Institute (Utica, NY). Her career spans 20+ years in academia, with expertise in computer architecture, programming, and data structures. PhD, Computer Engineering, McGill University, 1999 Her research focuses on Big Data discretization techniques, hardware-software co-design for digital systems, and educational assessment frameworks. Her work on threshold analysis and scheduling algorithms reflects interdisciplinary applications in computational theory and system optimization. Current research trends include high-level synthesis of digital systems, data preprocessing for machine learning, and pedagogical evaluation methodologies. She has contributed to understanding design space exploration in embedded systems and weighted scheduling algorithms for resource allocation. Houria works in Packard Lab at Lehigh University, where she teaches foundational computing courses. Her academic journey reflects a global perspective with experiences in Algeria, Saudi Arabia, and the United States.

John AhnView profile

Associate Professor

• Ancient Near Eastern Studies
• Religious Studies
• Hebrew Bible/Old Testament
• +6 more

Dr. John Ahn is an Associate Professor of Hebrew Bible at Howard University School of Divinity (HUSD). He holds a PhD in Religious Studies from Yale University, and advanced degrees from Princeton Theological Seminary and New York University. His research focuses on historical and social reconstructions of 6th-5th century BCE Judah/Israel, employing ANE languages, paleoclimatology, and social theories like cultural memory and forced migration studies. He leads academic guilds including the 'Return Migrations in Biblical Literature' (SBL) and chairs the Journal of Black Religious Thought. Education: PhD in Religious Studies (Yale University) STM (Yale Divinity School, Class Marshal) MDiv (Princeton Theological Seminary, Seminary Fellow) BA in Linguistics & Religious Studies (NYU, Phi Beta Kappa) Research Interests: Dr. Ahn investigates forced migration narratives (e.g., exile/return), ancient Judah’s socio-historical contexts, and intertextual traditions. He bridges ancient texts with contemporary societal issues through methodologies like trauma studies and generational consciousness. His work emphasizes canonical consciousness and ethical actualizations in modern contexts. Publications Highlight: His 15+ monographs include Exile as Forced Migrations (2010) and Landscapes of Korean Biblical Interpretation (2019). Recent articles explore diaspora politics, memory studies, and ethical hermeneutics. Awards: Recognized for academic excellence (Phi Beta Kappa, NYU’s highest GPA citation) and leadership in biblical guilds. Served as Mid-Atlantic SBL President and Korean Biblical Colloquium leader. Advising & Grants: As PI of the Lilly-funded Pathways Grant at Howard, he develops programs integrating biblical studies with social justice. He mentors students through NGO projects in Africa, Ukraine, and beyond. Ministry & Beyond: Ordained in the Korean Presbyterian Church, he has four senior pastorships spanning 30+ years. Former NCAA volleyball athlete, married with three children.

Yan XiaView profile

Associate Professor

• Statistical Methods for Structural Equation Modeling
• Item Response Theory
• Categorical Data Analysis
• +3 more

Dr. Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Educational Psychology and Learning Systems from Florida State University and completed a postdoctoral fellowship at Arizona State University's T. Denny Sanford School of Social and Family Dynamics. Key research areas: Statistical methods for structural equation modeling, item response theory, categorical/nonnormal/missing data analysis, and applications in special education, child development, organizational behavior, and sports psychology. Current appointments: Faculty, College of Education, University of Illinois (since 2025). Recent contributions: 2025 Monte Carlo simulation on developmental research generalizability, 2024 work on parallel analysis improvements, and meta-analysis of autism eye-tracking studies. His methodological work critically examines fit indices like RMSEA, CFI, and TLI in ordered categorical data contexts. Collaborations span autism research, educational interventions, and cross-cultural studies. Publications demonstrate expertise in DWLS/ULS estimation, factor retention, and missing data techniques. Scientific awards: Not explicitly mentioned in provided texts. Advising: Accepts new graduate students (2025). No student list provided.

Gagan AgrawalView profile

Professor

• Parallel Computing
• High-Performance Computing (HPC)
• Data Analytics
• +5 more

Gagan Agrawal is the UGA Foundation Professorship in Computing and a Professor at the School of Computing, University of Georgia. He serves as Director of the School and is affiliated with the Franklin College of Arts & Sciences. Agrawal holds a PhD and MS in Computer Science from the University of Maryland (1994-1996). His research focuses on high-performance computing, parallel algorithms, compiler optimization for deep learning, GPU acceleration, and interdisciplinary applications in health informatics. Notable contributions include frameworks like ForensiBlock (blockchain for data forensics) and DELITE (tensorized instruction compilation). Agrawal has secured over $2.5M in NSF grants for projects addressing extreme-scale computing challenges. Recent grants include: SHF: Small: Memory Hierarchy Optimizations Meet Transformers (MITTEN) ($600K, 2024-2027) DELITE compilation system for deep learning models ($600K, 2023-2026) Publications span parallel computing methodologies, cybersecurity frameworks, and health outcomes analysis. His work on social determinants of health in cancer survival has been systematically reviewed in top-tier medical journals. Agrawal leads UGA's computing initiatives, emphasizing interdisciplinary research and student mentorship in HPC and AI domains.

Qianqian TongView profile

Assistant Professor

• Stochastic Optimization
• Sparse Learning
• Federated Learning
• +4 more

Qianqian Tong is an Assistant Professor in the Computer Science department at the University of North Carolina at Greensboro. Her research focuses on stochastic optimizations, sparse learning, federated learning, and privacy-preserving machine learning algorithms. She has developed novel methods for efficient optimization in deep learning and federated learning frameworks, including communication-efficient distributed algorithms and decentralized systems. Education: Ph.D. Computer Science and Engineering, University of Connecticut M.S. Computational Mathematics, Zhengzhou University B.S. Mathematics, Zhengzhou University Research interests include designing algorithms for sparse learning, federated learning with privacy guarantees, and applying deep graph learning to drug discovery. Recent projects involve tensor-based models for multidimensional data analysis and improving convergence in ADAM optimization. Her publications span optimization theory, federated learning systems, and molecular modeling applications. Though no awards are listed, her work demonstrates significant contributions to efficient machine learning methodologies. Teaching includes advanced courses on data science and computer science foundations. No lab affiliations or grant details are explicitly mentioned in the provided text.

Mark HeinrichView profile

Associate Professor

• Parallel Computer Architecture
• Heterogeneous Architectures
• Active Memory and I/O Systems
• +4 more

Mark Heinrich is an Associate Professor in the Department of Computer Science at the University of Central Florida (UCF), where he also serves as Undergraduate Coordinator for CS and IT, and Senior Design Coordinator. He previously held roles at Cornell University and has industry experience co-founding companies like Phanfare and Flashbase. His research focuses on parallel computer architecture, heterogeneous systems, cache coherence protocols, and multiprocessor simulation. Heinrich holds a Ph.D. in Electrical Engineering from Stanford University (1998) under John Hennessy, and a B.S. in Electrical Engineering and Computer Science from Duke University (1991). Research Interests His work spans parallel architectures, active memory systems, scalable cache coherence protocols, and hardware/software co-design. Recent efforts include innovations in persistent memory technologies and multiprocessor simulation methodologies. Teaching In Spring 2020, he taught CS Senior Design I and II courses (COP 4934/4935), with office hours focused on senior design and undergraduate coordination. Professional Background Associate Professor at UCF since 2003 Past roles: Director of UCF's School of Computer Science (2005), Associate Director of EECS (2005-2007) Co-founder of the Cornell Computer Systems Laboratory Contributed to the FLASH multiprocessor architecture and its simulation tools Labs & Projects He has been involved in projects like Active Memory Clusters and architectural support for multiprocessor systems. His work often bridges theoretical computer architecture with practical hardware implementations.

Jeffrey StackertView profile

Professor

• Ancient Near Eastern Studies
• Hebrew Bible
• Pentateuchal Studies
• +5 more

Jeffrey Stackert is the Caroline E. Haskell Professor of Hebrew Bible at the University of Chicago Divinity School, with affiliations in Classics and Middle Eastern Studies. He holds a PhD from Brandeis University and specializes in siting the Hebrew Bible within ancient Near Eastern contexts, focusing on Pentateuchal composition, prophecy, cultic texts, and law. His major works include Rewriting the Torah (2007), A Prophet Like Moses (2014), and Deuteronomy and the Pentateuch (2022), which explore biblical legal collections and their intertextual relationships. Research interests emphasize Pentateuchal sources, ancient Near Eastern legal comparisons, and the relationship between prophecy and law. He leads the CEDAR digital humanities project and edited the Oxford Handbook of the Pentateuch . His scholarship has been honored with the 2010 John Templeton Award for Theological Promise. Stackert serves on editorial boards for Maarav , Die Welt des Orients , and The Catholic Biblical Quarterly , and co-leads the Divinity School's MA program. His current projects include a Deuteronomy commentary and studies on Priestly literature.

Yifan SunView profile

Assistant Professor

• GPU Architecture
• Computer Architecture Simulation
• Multi-GPU Systems
• +5 more

Yifan Sun is an Assistant Professor in the Department of Computer Science at William & Mary, leading the Scalable Architecture Lab. He holds a Ph.D. in Electrical and Computer Engineering from Northeastern University (2020). His research focuses on GPU architecture, simulation tools, and multi-GPU system design. Recent work includes TrioSim (a lightweight DNN workload simulator) and NetCrafter (optimizing multi-GPU network traffic). He has published extensively at top venues like ISCA, MICRO, and IEEE Vis. Educations: Ph.D. in Electrical and Computer Engineering, Northeastern University (2020); M.S. and B.S. not explicitly stated but implied through academic progression. Research Interests: Developing explainable architecture tools, improving simulation frameworks (Akita/MGPUSim), and addressing challenges in wafer-scale GPU design. His work bridges hardware-software co-design with visualization techniques to enhance human understanding of complex architectures. Grants: Awarded NSF CCRI and CRII grants for simulation-as-a-service and explainable architecture projects. Collaborations include UVA, NUS, and Northeastern University. Labs/Teams: Scalable Architecture Lab (SARCHLAB), focusing on GPU systems, simulation, and visualization. Active in organizing workshops and GitHub repositories (e.g., https://github.com/sarchlab).

Ping WangView profile

Professor

• Chinese Intellectual History
• Literature
• Medieval Philology
• +3 more

Ping Wang is a Professor in the Department of Asian Languages & Literature at the University of Washington, serving as Graduate Program Coordinator and Graduate Admissions & Education Committee Chair. They hold a Ph.D. in Chinese Language and Literature from the University of Washington (2006). Their research focuses on Chinese Intellectual History, Medieval Philology, Poetry and Poetics, and Translation Studies. Recent research trends include interdisciplinary approaches to classical texts and modern translation methodologies. The listed articles highlight contributions to computational linguistics and AI, though primary disciplinary focus remains humanities. No specific awards are listed, though the department's 'Awards & Honors' page may contain institutional recognitions. Advising emphasizes graduate education coordination rather than individual student mentorship. Active in departmental administration and curriculum development. Research affiliations include the Bilingual and Biliteracy Research Lab and the Early Buddhist Manuscript Project. Office located in GWN M246 with regular Thursday office hours.

David C. YoungView profile

Professor

• Classics
• Greek Literature
• Ancient History
• +3 more

Dr. David C. Young is a Professor of Classics at the University of Florida since 1989, following a tenure at the University of California, Santa Barbara (1963–1989). He has also held visiting professorships at Stanford University and the University of Michigan. His academic credentials include a B.A. in Greek from the University of Nebraska (1959) and a Ph.D. in Classics from the University of Iowa (1963). His research focuses on Greek literature, particularly Pindaric poetry, and the history of the Olympic Games. Key contributions include challenging myths about ancient Greek amateurism in athletics and tracing the revival of the modern Olympics. His works blend classical scholarship with sports history, emphasizing interdisciplinary approaches. Award-winning author and educator, Young has received the Lifetime Distinguished Scholar Award from the International Society of Olympic Historians (2007) and multiple teaching honors. His lectures have spanned institutions globally, including Oxford, Cambridge, and venues in Greece. He has also engaged with media, offering over 100 interviews on Olympic topics. His publications span Pindaric studies (e.g., Three Odes of Pindar ) and Olympic histories (e.g., The Modern Olympics: A Struggle for Revival ). He co-authored works on ancient athletic records and participated in the International Olympic Academy's programs.

Michelle MazurekView profile

Associate Professor

• Cybersecurity
• Human-Centered Security and Privacy
• Human-Computer Interaction (HCI)
• +4 more

Michelle Mazurek is an Associate Professor of Computer Science and Director of the Maryland Cybersecurity Center (MC2) at the University of Maryland, College Park. She holds affiliations with UMIACS and is an Affiliate Associate Professor in Electrical and Computer Engineering (ECE). Her research focuses on human-centered security and privacy, emphasizing real-world user behavior analysis to improve security practices for professionals and end-users. Key areas include developer security education, end-user security behaviors, and encrypted messaging adoption. Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University (2014) B.S., Computer Science, University of Maryland (2004) Research Interests: Dr. Mazurek investigates how humans interact with security systems, particularly in professional (e.g., sysadmins, developers) and everyday contexts. Her work addresses challenges like insecure code propagation from online forums, privacy implications of digital tracking, and safety needs of marginalized groups (e.g., sex workers). She leads the Security, Privacy, People (SP2) lab and collaborates with industry partners to design usable security tools. Awards: NSF CAREER Award (2020) CyLab Distinguished Alumni Award (2022) Best Paper Awards at USENIX Security (2018) and NSA (2016) Advising & Leadership: Mazurek advises multiple PhD students in computer science and oversees MC2’s postdoctoral fellowship program. Her leadership expands MC2’s interdisciplinary research in areas like blockchain security, post-quantum cryptography, and human-centered approaches. She also fosters collaborations with industry leaders such as Cisco and Northrop Grumman. Labs & Teams: Directs the SP2 lab within MC2 and participates in the Human-Computer Interaction Lab (HCIL). Past affiliations include CyLab and the Parallel Data Lab (PDL).

Leslie GreengardView profile

Professor

• Integral Equation Methods
• Electromagnetics
• Acoustics
• +5 more

Leslie Greengard is a Silver Professor of Mathematics and Computer Science at New York University's Courant Institute, part of the Faculty of Arts and Science. His research focuses on integral equation methods for electromagnetics, acoustics, plasma physics, and fluid dynamics, with recent work extending to kernel-based methods in statistical inference. He leads the Courant Mathematics and Computing Laboratory and contributes to novel electromagnetic simulation techniques. Education: Ph.D. and M.D. in Computer Science and Medicine from Yale University (1987) B.A. in Mathematics from Wesleyan University (1979) Research Interests: Greengard's group develops fast solvers for complex geometries in electromagnetics and fluid dynamics. Notable contributions include the Fast Multipole Method (FMM) for particle simulations and Quadrature by Expansion (QBX) for layer potential evaluations. His work bridges computational mathematics and applications in physics, engineering, and biomedicine. Recent Article Trends: Recent publications emphasize fast algorithms (e.g., FMM, adaptive Gauss transforms), biomedical applications (e.g., deep brain stimulation modeling), and cosmological simulations. His methods address challenges in high-dimensional data, multiscale problems, and real-time computation. Awards & Recognition: While no specific prizes are listed, his foundational work on FMM has had a transformative impact on computational science. Advising & Collaborations: Collaborations span academia and industry, with co-authors including V. Rokhlin, M. O’Neil, and others. No formal advisees are listed here, though his research involves postdoctoral fellows and graduate students. Labs & Teams: Active in the Courant Mathematics and Computing Laboratory, focusing on electromagnetic simulation and design methodologies.

Grant GoodallView profile

Professor

• Syntax
• Language Acquisition
• Constructed Languages
• +3 more

Grant Goodall is a Professor of Linguistics and Director of the Linguistics Language Program at the University of California San Diego. He holds a B.A. from UCLA and a Ph.D. from UC San Diego, with additional studies at MIT and UNAM. His research focuses on syntax, particularly syntactic representations, their interaction with cognitive processes, and language acquisition across lifespans. He directs the Experimental Syntax Lab and has pioneered experimental techniques for studying sentence acceptability, with work on English, Spanish, Chinese, and constructed languages like Esperanto. Before joining UC San Diego, he taught at the University of Texas at El Paso and held visiting positions in Switzerland and Argentina. His work emphasizes applying linguistic research to improve second language learning. Key areas include experimental syntax, language pedagogy, and cross-linguistic variation in island phenomena. Recent research trends in his articles emphasize coordination structures, L2 syntax processing, and the application of experimental methods to syntactic theory. He has contributed to debates on wh-movement, D-linking, and the universality of island constraints across languages. His experimental studies often compare methodologies like magnitude estimation with traditional acceptability judgments. Scientific Awards: None explicitly listed in provided texts. Lab Affiliations: Director of UC San Diego's Experimental Syntax Lab and Linguistics Language Program. Teaching Contributions: Developed materials for introductory Spanish (e.g., 'Conéctate') and advocates for evidence-based language pedagogy.

Maria M DakakeView profile

Professor

• Islamic Thought
• Qur'anic Studies
• Shi'ite and Sufi Traditions
• +3 more

Maria M Dakake is a Professor of Religion at George Mason University, affiliated with the Women and Gender Studies program. She holds a PhD in Near Eastern Studies from Princeton University (2000) alongside an MA from Princeton (1998) and a BA in Government from Cornell (1990). Her research focuses on Islamic intellectual history, Quranic exegesis, Shi‘ite and Sufi traditions, and gender studies in Islamic contexts. Her major publications include The Routledge Companion to the Qur'an (2022, co-edited) and The Study Quran (2015, general editor), which offer groundbreaking translations and commentaries on Islamic scripture. She is completing a monograph on Toward an Islamic Theory of Religion and working on a translation of 20th-century Iranian scholar Nusrat Amin's Quranic commentary. Dr. Dakake’s teaching spans courses such as Islamic Thought, Qur'an and Hadith studies, and Muslim Women Writers. Her work bridges academic rigor with public engagement, addressing contemporary issues like interfaith dialogue and pedagogical challenges in religious education. She has contributed to interdisciplinary projects analyzing Quranic terminology, Shi‘ite identity formation, and the role of women in Islamic spiritual traditions. Her research emphasizes textual analysis, historical contextualization, and comparative theological frameworks, reflecting her commitment to both scholarly innovation and community-focused scholarship.

• Software Engineering
• Software Testing
• Program Analysis
• +4 more

Alessandro Orso is the Dean and Professor of the University of Georgia College of Engineering. Previously, he served as a professor at Georgia Institute of Technology, where he directed the Scientific Software Engineering Center and held leadership roles, including interim dean of the College of Computing (2023–2024). He earned his Ph.D. and master’s in computer science and electrical engineering from Politecnico di Milano, Italy. Orso’s research focuses on software testing, program analysis, and debugging, with applications in improving software reliability and security. His work includes developing automated testing tools (e.g., AutoRestTest), methodologies for scientific software engineering, and techniques for program debloating. His research has secured funding from agencies and industry partners like Google, IBM, and Microsoft, including a $11M grant from Schmidt Futures. His scientific awards include being a Distinguished Member of the ACM and IEEE Fellow. He advocates for innovative education, such as Georgia Tech’s Online Master of Science in Computer Science and his virtual software engineering course. His publications span automated testing, API analysis, and security, reflecting his commitment to advancing both academic research and practical software solutions. Orso’s leadership includes directing the Scientific Software Engineering Center, which pioneers methodologies for scientific software improvement and trains a new generation of engineers. His career blends academic excellence with impactful industry collaborations, driving advancements in software engineering practices.