جستجوی استاد راهنمای دانشگاهی

Simon Crouchمشاهده پروفایل

پژوهشگر ارشد

• Statistical Modeling
• Epidemiology
• Cancer Research
• +۶ مورد دیگر

Simon Crouch is a Senior Research Fellow in Biostatistics at the University of York's Health Sciences department. With a strong mathematical background from Cambridge and Warwick, he leads the analytics team within the Epidemiology and Cancer Statistics Group and works closely with the Haematological Malignancy Research Network (HMRN) and Cardiovascular Health team. His work focuses on statistical modeling of complex epidemiological data related to hematological malignancies. University of Cambridge: MA, MMath in Mathematics University of Warwick: PhD in Mathematics University of Lancaster: MSc in Medical Statistics Dr. Crouch specializes in the statistical modeling of complex epidemiological data, with particular focus on hematological malignancies. His research encompasses predictive modeling, event history analysis, and machine learning applications in cancer epidemiology. He has made significant contributions to understanding myelodysplastic syndromes, lymphoma classification, and survival analysis in blood cancers through population-based studies. His work often involves collaboration with international registries including the European Myelodysplastic Syndromes Registry (EUMDS) and the Haematological Malignancy Research Network. Analysis of his recent publications reveals a strong focus on myelodysplastic syndromes (MDS), with particular attention to risk stratification, survival analysis, and treatment outcomes. His work increasingly incorporates genomic and molecular data to refine disease classification and prediction models. The trend shows progression from purely statistical methodology development toward integrated translational research that combines clinical, genomic, and epidemiological data to improve patient outcomes. Extensive publication record with 113 research outputs including 66 articles, 21 patents, and numerous meeting abstracts Active participation in major international research consortia including MDS-RIGHT and ImmunAID Significant contributions to the development of statistical methodologies for cancer epidemiology Dr. Crouch actively supervises PhD students in mathematical and statistical modeling applied to cancer epidemiology, with particular interest in time-to-event models, complex longitudinal models, and simulation techniques. His research has been supported through multiple projects, including the European Myelodysplastic Syndromes Registry and the MDS-RIGHT project focused on facilitating informed decision-making in hemato-oncology. He contributes to the Advanced Health and Social Statistics module for postgraduate students at the University of York.

Calvin Beidemanمشاهده پروفایل

استادیار

• Computer Science
• Engineering Education
• Software Engineering
• +۳ مورد دیگر

Calvin Beideman is an Instructional Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. His contact information includes the office located in Peterson Building (PETR 113) and the phone number 979-845-2479. Though specific research interests are not explicitly listed, his role as an instructional faculty member suggests a focus on pedagogical methods and curriculum development in computer science and engineering education. No scientific awards, grants, or advising records are mentioned in the provided information.

• Software Engineering Education
• Software Process Simulation
• Educational Games
• +۳ مورد دیگر

Emily Oh Navarro is a Continuing Lecturer in the Department of Informatics at the Donald Bren School of Information and Computer Sciences, University of California, Irvine. She has been actively involved in software engineering education, focusing on innovative teaching methods and simulation-based learning environments. Dr. Navarro earned her Ph.D. in Information and Computer Sciences from UC Irvine in 2006, with her dissertation titled "SimSE: A Software Engineering Simulation Environment for Software Process Education." She also holds an M.S. in Information and Computer Sciences and a B.S. in Biological Sciences, both from UC Irvine. Dr. Navarro's research primarily focuses on software engineering education, particularly using simulation and game-based approaches to teach software processes. Her work centers around SimSE, an educational software engineering simulation environment designed to help students learn and practice software engineering processes in an interactive, graphical setting. She has extensively explored how learning theories can be applied to improve software engineering education, investigating various educational approaches and their effectiveness. Her research demonstrates how simulation environments can overcome the limitations of traditional lectures and small-scale class projects by allowing students to experience complex software engineering processes that would be infeasible to practice in real-world academic settings. Dr. Navarro's publications reveal a consistent focus on simulation-based learning tools for software engineering education. Her work spans from theoretical explorations of learning theories to practical implementations of educational tools like SimSE and Problems and Programmers. She has conducted multi-site evaluations of her educational tools, demonstrating their effectiveness across different institutions and student populations. Her research shows progression from conceptual frameworks to practical implementations and rigorous evaluations, establishing her as a significant contributor to the field of software engineering education. Dr. Navarro teaches numerous courses in software engineering and design, including: Informatics 43: Introduction to Software Engineering Informatics 113: Requirements Analysis and Engineering Informatics 117: Project in Software System Design Informatics 121: Software Design I Informatics 122: Software Design II Informatics 191: Senior Design Project ICS 45J: Programming in Java ICS 139W: Critical Writing on Information Technology SWE 241P: Applied Data Structures and Algorithms SWE 245P: GUI Programming SWE 246P: Mobile Programming SWE 272P: Project Management Her teaching methodology reflects her research interests, emphasizing practical experience with software engineering processes through simulation-based learning. While specific information about her advising and grants is limited in available materials, her extensive research on educational methods suggests involvement in educational research projects and likely mentorship of students in software engineering projects. Dr. Navarro's primary research contribution is the SimSE project, which has evolved through multiple iterations and evaluations. This simulation environment represents a significant innovation in software engineering education, addressing the critical gap between theoretical knowledge and practical application in software process management. Her work continues to influence how software engineering is taught at UC Irvine and potentially at other institutions through her multi-site evaluations.

Narasimhaswamy A Banavaraمشاهده پروفایل

دانشیار

• Computer Science
• Software Engineering
• Data Structures
• +۳ مورد دیگر

Narasimhaswamy A Banavara is an Associate Professor and Program Director of Computer Science at Mercy College. He is affiliated with the School of Liberal Arts and is based at GMH 113. His contact information includes the email NBanavara@mercy.edu and phone number (914) 674-7443. As Program Director, he oversees the Computer Science program within the School of Liberal Arts, integrating technical expertise with a liberal arts foundation. His role emphasizes academic leadership in curriculum development and student mentorship. No specific research awards, grants, or publications are listed in the provided text, suggesting a focus on program administration and teaching responsibilities.

• Sustainable Supply Chain Management
• Socially Responsible Operations
• Cloud Computing Decision Analysis
• +۲ مورد دیگر

Li-Ming Chen is a Professor in the Department of Business Administration at National Chengchi University's College of Commerce, where he has served since 2009, progressing from Assistant Professor to full Professor. His research focuses on sustainable supply chain management, socially responsible operations, and cloud computing decision analysis, with numerous publications in high-impact journals including IEEE Transactions on Engineering Management and Transportation Research Part E. PhD in Industrial and Systems Engineering, University of Florida (2009) MS in Industrial Engineering, University of Michigan (2005) BS in Industrial Engineering and Management, National Chiao Tung University (2001) Professor Chen's research spans three interconnected domains: sustainable supply chain management, socially responsible operations, and cloud computing applications in business. His work examines how organizations can balance economic efficiency with environmental and social responsibility, particularly in perishable product supply chains. He has developed innovative models for two-bin inventory strategies that simultaneously maximize profits while minimizing waste, addressing both business and sustainability concerns. His research on cloud supply chains investigates how firms can optimize their computing resources through cloud bursting strategies while managing associated cybersecurity risks. An analysis of his 15 most recent publications reveals a clear research trajectory evolving from traditional operations management toward more contemporary concerns at the intersection of technology, sustainability, and social responsibility. Early work focused on fundamental inventory and pricing problems for perishable goods, while more recent research examines omnichannel retailing, fintech ecosystems, and cloud supply chain resilience. His publications consistently appear in top-tier journals across operations management, supply chain, and information systems disciplines, demonstrating interdisciplinary impact. Professor Chen has secured continuous research funding from Taiwan's National Science and Technology Council (formerly MOST) for over a decade, with current projects extending through 2026. His research portfolio spans semiconductor equipment manufacturing, perishable product management, supply chain resilience, and cloud computing applications. Despite his extensive publication record and research funding, the available materials do not mention specific scientific awards or honors. 114 Project: Investigating semiconductor equipment manufacturers' circular manufacturing of faulty parts (2025-2026) 113 Project: Two-bin strategy for short shelf-life products (2024-2025) 112 Project: Supply chain resilience in the post-pandemic era (2023-2025) 111 Project: Two-bin system for perishable goods (2022-2024) 110 Project: Cloud supply chain disruptions and recovery (2021-2023) Professor Chen teaches Operations Management, Management Science, Supply Chain Management Practice, and Social Responsibility and Ethics courses. His research demonstrates strong alignment with his teaching areas, particularly in applying theoretical operations research concepts to practical business problems with social and environmental dimensions. While the available materials don't specify laboratory or research team details, his extensive publication record with multiple co-authors suggests active collaboration with both domestic and international researchers.

Stephen Sladeمشاهده پروفایل

مدرس ارشد

• Computer Science
• Algorithms
• Software Engineering
• +۱ مورد دیگر

Stephen Slade is a Senior Lecturer in the Department of Computer Science. He can be reached at room AKW 113, located at 51 Prospect St, New Haven, CT 06511-8937. His contact phone is 203-432-7161. Research interests and academic achievements are not explicitly detailed in the provided information. No scientific awards, grants, or advising activities are listed.

Alexander Belovمشاهده پروفایل

استادیار

• Quantum Algorithms
• Quantum Complexity
• Theoretical Computer Science
• +۵ مورد دیگر

Alexander Belov is an Assistant Professor and researcher at the Faculty of Computing, University of Latvia. He has held this position since 2016, while also serving as a researcher at the same institution since 2013. Prior to this, he completed postdoctoral work at Centrum Wiskunde & Informatica (CWI) in the Netherlands (2015-2016) and MIT's CSAIL (2014). His educational background includes: PhD in Computer Science, University of Latvia (2009-2014), supervised by Andris Ambainis Master of Mathematics, University of Waterloo (2008), supervised by Ashwin Nayak Master of Computer Science, University of Latvia (2006-2009), with distinction BSc in Computer Science, University of Latvia (2002-2006), with distinction Dr. Belov's research focuses primarily on quantum algorithms, with emphasis on upper and lower bounds for quantum complexity of various problems, applications of the adversary method, and discrete quantum walks. He also explores theoretical computer science topics including models of computation, query complexity, lower bounds, and related mathematical techniques. His work bridges deep theoretical insights with potential practical applications in quantum computing. His recent publications demonstrate a strong trend toward developing novel quantum algorithms, particularly for problems like monotonicity testing, k-distinctness, and group testing. His work often establishes important lower bounds and separation results in quantum query complexity. The research spans theoretical computer science, quantum information, and mathematical techniques for analyzing computational problems. Dr. Belov has received several prestigious awards: IEEE Conference on Computational Complexity 2014: Best student paper award IEEE Conference on Computational Complexity 2013: Best student paper award International Olympiad in Informatics 2002, Korea: Gold Medal International Mathematical Olympiad 2002, UK: Silver Medal International Mathematical Olympiad 2001, USA: Bronze Medal Dr. Belov serves as the principal researcher for the ERDF project "Quantum walks for large speed-ups, and general limitations of quantum algorithms" (project number 1.1.1.2/VIAA/1/16/113). He has been actively involved in reviewing papers for major conferences including STOC, FOCS, SODA, CCC, ICALP, ESA, QIP, and SOFSEM, as well as journals like Algorithmica, Theory of Computing, and Physical Review A. He has also contributed significantly to mathematical education in Latvia through Aivars Liepa's Extramural Mathematics School, preparing high school students for international olympiads and serving as the leader of Latvia's team at the 54th International Mathematical Olympiad.

Yue Luمشاهده پروفایل

استاد

• Applied Mathematics
• Control Theory and Stochastic Systems
• Data Science
• +۵ مورد دیگر

Yue Lu is the Gordon McKay Professor of Electrical Engineering and Applied Mathematics at Harvard University, serving as Faculty Director of Graduate Studies. His research spans applied mathematics, control theory, machine learning, and signal processing, with a focus on high-dimensional data analysis and algorithmic foundations. He leads the Signal and Information Processing lab in Maxwell Dworkin 113. Notable recognitions include being named a Harvard College Professor (2024) and achieving tenure in 2019. His work addresses topics like random matrix theory, optimization in machine learning, and statistical signal processing. Recent contributions include studies on neural networks, kernel methods, and phase retrieval algorithms. He has published extensively on the theoretical underpinnings of modern learning systems, with a particular emphasis on universality principles and asymptotic analysis. Research Highlights: Developed frameworks for analyzing approximate message passing algorithms Advanced theories of in-context learning and feature learning dynamics Contributed to understanding phase transitions in high-dimensional estimation problems Explored optimal regularization strategies for sparse regression Awards: Harvard College Professor (2024) Full Tenure in Electrical Engineering (2019) His lab focuses on bridging theory and applications in signal processing and AI, with projects ranging from imaging systems to brain network analysis. Ongoing work explores the statistical physics of learning and scalable algorithms for large-scale inference problems.

Verena Distlerمشاهده پروفایل

استادیار

• Human-centered security and privacy
• Engineering psychology
• Human-computer interaction
• +۶ مورد دیگر

Verena Distler is an Assistant Professor at Aalto University's Department of Computer Science, where she leads the Research Group Humans, Security and Privacy . Her interdisciplinary work bridges human-computer interaction and cybersecurity, focusing on human-centered defenses against social engineering attacks and behavior change strategies. Current research includes social approaches to cybersecurity, defenses against misinformation, and phishing intervention effectiveness Specializes in qualitative and quantitative social science methods applied to technology interactions Publications demonstrate a strong focus on human factors in cybersecurity appearing in venues like Computers in Human Behavior , CHI , and IEEE Security & Privacy . Key research themes include phishing resistance, cognitive vulnerabilities, and security user interface design. Scientific recognition includes a CHI Honorable Mention Award . Her work addresses critical intersections of technology, human behavior, and organizational security policies. As head of the Research Group Humans, Security and Privacy, she leads projects combining cybersecurity with behavioral science, exploring both technical and psychological dimensions of technology use. Collaborative efforts span multiple disciplines including psychology, computer science, and educational technology.

Angela Virtuمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +۳ مورد دیگر

Angela Virtu is a Professorial Lecturer at the Kogod School of Business' Department of Information, Technology, and Analytics (IT&A) at American University since 2023. She teaches undergraduate and graduate courses in data analytics, machine learning, programming tools (R/Python), and business technology navigation. Her professional practice focuses on applying AI/ML solutions to drive business impact, including fraud detection, customer retention, and marketing optimization for pre-IPO SaaS companies. Education: MS in Analytics, American University BS in Computational Science, American University Research/Professional Contributions: Angela has designed AI solutions for SaaS firms that generated $8M in additional revenue via sales workflow optimization, improved customer retention by 8%, identified $1.5B in potential fraud, and boosted marketing engagement by 40%. Her work emphasizes ethical implementation and practical integration of AI into organizational workflows. Teaching: Current and upcoming courses include: Fall 2024: ITEC-300 Prog Tools Analytics: R, KSB-113 Navigating Business Techs Spring 2025: ITEC-300 Prog Tools Analytics: R, ITEC-400 Prog Tools Analytics: Python, KSB-113 Navigating Business Techs

• Human-Computer Interaction
• Multimedia Systems
• Data Visualization
• +۳ مورد دیگر

Artur Lugmayr is a Professor affiliated with Curtin University, Perth, Australia. His research focuses on Human-Computer Interaction, Ambient Media, and Multimedia Systems. He actively contributes to conferences like EuroITV, MindTrek, and ACM Multimedia, often serving as a program chair or editor. His work bridges technology and creative industries, emphasizing user experience (UX) design, data visualization, and innovative applications in fields like healthcare, finance, and education. Research Interests : Ambient Media, Virtual/Augmented Reality, Data Storytelling, HCI, Cognitive Big Data, and Space UX design. His projects explore immersive technologies for search and rescue, maritime safety, and educational environments. Publications : Over 113 publications span journals like Multimodal Tools and Applications and conferences such as ACM Multimedia. Recent work includes advancements in VR/AR interfaces, circular visualization techniques for genetic data, and financial sector data storytelling frameworks. Professional Contributions : Organized workshops on SpaceUX, Semantic Ambient Media, and Cultural Visualization. Co-edited proceedings for events like FinanceCom and ICEC. Active in defining future trends for ambient media and interactive TV. Labs & Teams : Engaged in interdisciplinary teams researching immersive technologies and UX design, though specific lab names are not explicitly mentioned.

Juan Moreno Garcíaمشاهده پروفایل

استاد

• Educational Technology
• E-Learning
• Personalized Learning
• +۳ مورد دیگر

Dr. Juan Moreno García is a Professor at the Department of Applied Pedagogy and Educational Psychology, University of the Balearic Islands (UIB), with expertise in Educational Technology, E-Learning, and Collaborative Learning. He holds a PhD and Master’s in Educational Technology, a Degree in Psychopedagogy, and a Teaching Diploma from UIB. His research focuses on Virtual communities and their role in academic integration Design and co-design of personalized learning itineraries Development of virtual training environments Knowledge management strategies in education He has taught subjects like Educational Technology, Knowledge Management, and Networked Learning across Pedagogy, Primary Education, and Early Childhood Education programs. The 15 most recent articles highlight his work on tools like FLIC-IPAFLEX for adaptive learning, AI-driven personalization, and virtual research communities. These publications span themes in Educational Technology, Collaborative Learning, and Digital Pedagogy, with a strong emphasis on practical applications in compulsory and higher education. He serves as associate editor of Edutec Journal and is a member of the Educational Technology Group (GTE). His teaching involves both undergraduate and postgraduate courses, with office hours by appointment at UIB’s A-113 office.

• Vehicular Edge Computing
• Internet of Things Security
• Wireless Networks
• +۶ مورد دیگر

Liang Zhao is a prominent professor at Shenyang Aerospace University's School of Computer Science, with extensive research contributions in vehicular edge computing, IoT security, and wireless communications. Previously earning a PhD from Napier University's School of Computing in 2011, Zhao has established himself as a leading researcher in mobile computing through numerous high-impact publications in IEEE journals and conferences. Dr. Zhao's research focuses on cutting-edge challenges in vehicular networks, UAV communications, and edge computing systems. His work bridges theoretical advances in deep reinforcement learning with practical applications in transportation and IoT systems, particularly addressing task offloading optimization, resource allocation, and security challenges in mobile environments. Recent projects explore innovative solutions for LEO satellite constellations, RIS-assisted communications, and federated learning applications across distributed systems. Analysis of Zhao's recent publication trends reveals a strong emphasis on practical implementations of AI techniques for mobile computing challenges, with significant contributions to vehicular edge computing frameworks, secure IoT protocols, and energy-efficient UAV communications. His research consistently addresses real-world constraints like network limitations, harsh environments, and heterogeneous system requirements. Dr. Zhao maintains an exceptionally productive research trajectory with 246 publications spanning from 2009 to 2025, demonstrating sustained contributions to the field. His collaborative network is extensive, with particularly strong partnerships with Ammar Hawbani (113 co-authored papers), Na Lin (41 papers), and Xingfu Wang (40 papers), suggesting well-established research groups and international collaborations. While specific grant information isn't detailed in the publication record, the scale and scope of Zhao's research output across multiple institutions suggest significant research funding support for projects in mobile computing, vehicular networks, and edge computing systems.

• Computer Science
• Algorithms
• Data Structures
• +۱ مورد دیگر

Eric Aaron is an Associate Professor of Computer Science at Colby College. He teaches courses such as Data Structures and Algorithms, Algorithm Design and Analysis, and Introduction to the Theory of Computation. His contact information includes the office phone (207) 859-5857 and fax (207) 859-5846, located in Davis 113. His research interests are inferred from his teaching focus, including algorithm design, computational theory, and foundational computer science concepts. He actively contributes to undergraduate education in these areas. No publications or awards are explicitly listed in the provided text.

Héctor Muñoz-Avilaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Symbolic Planning
• +۵ مورد دیگر

Dr. Héctor Muñoz-Avila is a Professor in the Department of Computer Science & Engineering at Lehigh University. He rejoined Lehigh in July 2025 after serving as a Program Director at the National Science Foundation (NSF), where he led the Information Integration and Informatics (III) program and managed the AI and ML portfolios. His research integrates statistical machine learning, symbolic planning, and reasoning techniques to develop cognitive systems with high-level capabilities. Education: Ph.D., Computer Science, University of Kaiserslautern (Germany) M.S., Computer Science, Andes University (Colombia) B.S., Mathematics, Andes University B.S., Computer Science, Andes University Dr. Muñoz-Avila's research emphasizes interdisciplinary collaboration in AI, digital games, civil engineering, cognitive psychology, and education. He has chaired major conferences like ICCBR-05 and IAAI-13 and secured funding from agencies including the Office of Naval Research (ONR), DARPA, and the Air Force Research Laboratory (AFRL). Scientific Awards: National Science Foundation (NSF) CAREER Award Paper Awards Lehigh Class of 1961 Professorship He is based at Lehigh's Mountaintop Campus, Building C, 113 Research Drive, Bethlehem, PA.