جست‌وجوی استاد و پژوهشگر

Jost Siewekeمشاهده پروفایل

دانشیار

• Strategic Leadership
• Crisis Leadership
• Human Errors and Learning
• +۳ مورد دیگر

Jost Sieweke is an Associate Professor of Strategic Leadership at the Department of Management & Organization , School of Business and Economics , Vrije Universiteit Amsterdam . He holds a PhD from the University of Duesseldorf (2012) and has served as a visiting scholar at the Beedie School of Business (Simon Fraser University, 2015) and the Stockholm School of Economics (2016). From 2019-2024, he led the Executive MBA: Leading with Purpose program. He is also a lecturer at LUISS Business School (Amsterdam, 2024–2033). His research focuses on two core themes: (1) strategic leadership , including crisis leadership, leadership team composition, and follower behavior; and (2) human errors and organizational learning , exploring how errors are managed and how organizations adapt. He is a proponent of natural experiments , using designs like difference-in-differences and regression discontinuity to study leadership dynamics. He curates natural experiments.org to support scholarly research in this area. Awards include Best Reviewer Awards (2021, 2023) and contributions to the Journal of Management Studies and The Leadership Quarterly editorial boards. His work intersects with UN Sustainable Development Goals, particularly addressing inequality (SDG 10) and quality education (SDG 4). Teaching and Grants : Currently teaches Integrative Research Project and Management Consulting . Co-led the DEVELOPING THE MANAGEMENT STUDIES COMMUNITY grant (2023). His datasets span leadership, error management, and European values studies, with collaborations across universities and institutions globally.

• Digital Accessibility
• Human-Computer Interaction
• Socio-Technical Systems
• +۴ مورد دیگر

Sven Bittenbinder is a Researcher at the University of Siegen , affiliated with the Faculty III (Information Systems and New Media). He contributes to the Department of Information Systems and is a core member of the IT for Ageing Society research group. Education: Diploma in Business Informatics (Wirtschaftsinformatik) from the University of Siegen (2003–2009), with specializations in Data Warehousing, IT Project Management, and System Integration. Research Focus: Bittenbinder specializes in Digital Accessibility , Inclusive Design , and Socio-Technical Systems . His work bridges Human-Computer Interaction and Disability Studies , addressing barriers in workplace accessibility, social service access, and international research collaboration. Recent projects include WERTE.IT (establishing inclusive IT practices) and iDESkmu (accessibility in SMEs). Article Trends: His publications since 2025 emphasize language barriers in citizen science , accessible recruitment/onboarding , and safe spaces for inclusion . Collaborative themes include socio-technical workplace adaptations , community-based participatory methods , and policy-driven accessibility . Projects & Labs: He works in PRAXLABS and Fab Lab Siegen , contributing to initiatives like FUSION , Mittelstand-Digital Zentrum Ländliche Regionen , and WERTE.IT . His focus is on creating inclusive digital infrastructures through participatory research.

Shibiao Wanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۷ مورد دیگر

Dr. Shibiao Wan is an Assistant Professor in the Department of Genetics, Cell Biology, and Anatomy at the University of Nebraska Medical Center (UNMC), and Assistant Director of the Bioinformatics and Systems Biology Core. With 14+ years of expertise in machine learning, bioinformatics, and computational biology, he has published over 50 articles in high-impact journals. His research focuses on AI-driven solutions for biomedical challenges, including cancer, neurological disorders, and precision medicine through multi-omics and clinical data integration. Education: Postdoctoral training at the University of Pennsylvania and Princeton University; PhD from The Hong Kong Polytechnic University; BEng from Wuhan University. Research interests include developing AI/ML methods for single-cell analysis, spatial transcriptomics, and clinical informatics. He collaborates with researchers in cancer biology, neuroscience, and immunology to address translational biomedical problems. Notable awards include the UNMC New Investigator Award (2024), Nebraska EPSCoR FIRST Award (2023), and Clarivate's Top Reviewer recognition (2019). He serves on editorial boards for journals like Briefings in Functional Genomics and as a conference program committee member. Labs/Teams: Wan Lab focuses on integrating omics data with AI for disease modeling and diagnostics. Collaborative projects span oncology, cardiology, and developmental biology.

Stefan Radevمشاهده پروفایل

استادیار

• Bayesian Inference
• Deep Learning
• Probabilistic Modeling
• +۳ مورد دیگر

Stefan Radev is an Assistant Professor in the Cognitive Science department at Rensselaer Polytechnic Institute . His work focuses on developing Bayesian methods with generative neural networks and computational models for complex systems like cognition and disease outbreaks. He is the core developer of the BayesFlow framework, which enables amortized Bayesian inference using deep learning. Radev's research addresses computational challenges in Bayesian workflows, such as rapid parameter estimation and model validation through neural networks. His primary research interests include Deep Learning , Probabilistic Modeling , and their applications in computational neuroscience and biomedical engineering. He collaborates with the Center for Modeling, Simulation and Imaging in Medicine (CEMSIM) and contributes to open-source projects like BayesFlow, which supports multi-backend frameworks (PyTorch/TensorFlow/JAX). Recent publications highlight advancements in amortized inference, simulation-based calibration, and robust Bayesian workflows. His work spans domains from cognitive modeling to biomedical imaging, emphasizing interdisciplinary applications of Bayesian methods. No scientific awards are explicitly listed, though his contributions to open-source tools and impactful research indicate significant academic recognition.

Samuel McQuillinمشاهده پروفایل

دانشیار

• Child Development
• School Psychology
• Mental Health Interventions
• +۷ مورد دیگر

Samuel McQuillin is an Associate Professor in the Department of Psychology at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. He serves as the School Program Director and is a core member of the Quantitative Psychology Area of Emphasis. His research focuses on promoting child well-being through school-community partnerships, evidence-based practices for mental health professionals, and mentorship training. McQuillin leads the Youth Empowerment in Schools and Systems Research Lab and mentors doctoral students in the School Psychology Ph.D. program, many of whom pursue roles in academic research, clinical practice, and K-12 education. His work bridges implementation science and clinical interventions, addressing challenges such as the opioid crisis and systemic inequities in mental health access. McQuillin’s research emphasizes translating child development theories into practical strategies, particularly for at-risk youth. He investigates how training programs can better prepare psychologists, mentors, and paraprofessionals to use evidence-based techniques like motivational interviewing. Current projects include adapting interventions for low-resource communities, integrating mentoring with institutional systems, and evaluating multi-tiered support frameworks in schools. His recent work addresses racism in educational settings, opioid-affected families, and cross-cultural program adaptations (e.g., India). Key Research Themes: School Mental Health, Mentorship Systems, Evidence-Based Training, Implementation Science Lab Affiliation: Youth Empowerment in Schools and Systems Research Lab Doctoral Training: Prepares students for roles in hospitals, schools, and research institutions Quantitative Methodology: Applies advanced statistical techniques in program evaluation and outcomes research McQuillin’s publications frequently appear in journals like American Journal of Community Psychology, School Psychology Review, and Journal of Clinical Child and Adolescent Psychology. His work consistently highlights the importance of relationship-based interventions and systemic collaboration to improve youth outcomes.

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +۷ مورد دیگر

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

Eric Koskinenمشاهده پروفایل

دانشیار

• Concurrent Programming
• Formal Verification
• Programming Languages
• +۳ مورد دیگر

Eric Koskinen is the Charles Berendsen Chair Associate Professor in the Department of Computer Science at Stevens Institute of Technology. His research focuses on improving concurrent software development for multi-core and distributed systems through advances in programming languages, verification techniques, and formal methods. He holds a PhD from the University of Cambridge and has held roles at Yale, NYU, and industry positions at IBM, Microsoft, and Amazon. Education: PhD (2013) University of Cambridge, MS (2008) Brown University, BS (2001) William & Mary Research Interests: Concurrent programming, formal verification, programming language design, and distributed systems Recipient of over $5M in grants from NSF/ONR/DARPA. Active in conference organization (POPL, PLDI) and has developed verification tools like CityProver and Veracity. Advises PhD students in concurrency research and teaches courses on programming languages, discrete structures, and software verification.

Luigi Benedicentiمشاهده پروفایل

استاد

• Software Agents
• Software Process Improvement
• New Media Technology
• +۳ مورد دیگر

Dr. Luigi Benedicenti is a Professor and Dean of the Faculty of Computer Science at the University of New Brunswick. He holds a Laurea in Electrical Engineering and a Ph.D. in Electrical and Computer Engineering from the University of Genoa, Italy. A licensed Professional Engineer in Saskatchewan and an Italian-licensed Engineer, he collaborates extensively with TRLabs and IEEE, engaging in global research partnerships across Europe, Southeast Asia, and North America. His research focuses on three core areas: Software Agents, Software Process Improvement, and New Media Technology. Current work emphasizes unifying distributed digital service platforms, optimizing delivery across devices and locations. Benedicenti's recent studies explore emotional contagion in open-source collaborations, agile methodologies in mission-critical systems, and decision-support frameworks for software development. Publications highlight themes like emotional dynamics in agile teams, optimization in manufacturing processes, and adaptive frameworks for defense software. His work bridges theoretical models with practical applications in security-critical systems and ubiquitous computing environments. Professional contributions include leadership roles in advancing software engineering practices and fostering interdisciplinary collaboration. His research integrates technical innovation with human-centric design principles to address complex challenges in modern software ecosystems.

Symone Alexanderمشاهده پروفایل

استادیار

• Biopolymer Extraction
• Biopolymer Composites and Gels
• Mechanics of Soft Materials
• +۳ مورد دیگر

Symone Alexander serves as an Assistant Professor in the Department of Chemical Engineering within Auburn University's College of Engineering. Her research bridges biomimetic design and sustainable materials engineering, focusing on translating natural systems into solutions for environmental and biomedical challenges. With expertise in soft materials mechanics and biopolymer systems, she leads interdisciplinary projects addressing waste valorization and toxin remediation. Her educational foundation includes: Ph.D. in Macromolecular Science and Engineering from Case Western Reserve University B.S. in Chemical Engineering from Howard University Dr. Alexander's research centers on bio-inspired materials with four core platforms: Extraction and Utilization of Biopolymers from Mixed Food Waste, Dynamic Compatibilizers for Mixed Waste Plastics, Structural Uniformity of Cellulose Gels and Microgels, and Bioinspired Responsive Systems. She investigates how nature achieves engineering feats through efficient resource utilization, particularly studying spider web mechanics for ultrafast motion applications and dietary fiber assemblies for metabolic toxin removal. Her work emphasizes sustainable processing of agricultural and food waste into functional materials. Analysis of her publication record (2017-2025) reveals consistent innovation in cellulose-based materials, with increasing focus on medical applications like chronic kidney disease treatment. Her research trajectory shows a strategic integration of biomechanics, materials science, and environmental engineering, characterized by biomimetic approaches to solve complex problems in waste recovery and biomedical device development. Her scientific recognition includes: Research Support Program grant from Auburn University Dr. Alexander secures substantial research funding including an NSF grant for slingshot spider biomechanics and participation in a $4 million NSF-EPSCoR grant for sustainable plastic development. She actively mentors undergraduate researchers through the Research Experience for Undergraduates program, guiding students in professional skill development from elevator pitches to scientific presentations. Her #ARTist lab members like Matt and Luke May present at national conferences and secure industry internships. The Alexander Research Team (Bio-inspired Materials Advancing Science and Society) operates through four interconnected research platforms that convert waste streams into functional materials while studying natural systems for engineering inspiration. Current initiatives include extracting cellulose nanofibers from pecan shells as synthetic fiber alternatives and developing dietary fiber-inspired hydrogels for uremic toxin removal.

Mahdi Aiashمشاهده پروفایل

دانشیار

• Cyber Security
• Network Security
• Internet of Things (IoT)
• +۷ مورد دیگر

Dr. Mahdi Aiash is an Associate Professor in Computing & Communications Engineering at the Department of Computer Science, Middlesex University. He is affiliated with the School of Science and Technology and actively contributes to the MDX Networking Group. His research focuses on network security, IoT, 5G, and formal verification of security protocols. Research interests include: Security of Computer Networks and Information Systems Security Protocols (Design/Verification) Future Internet (IoT, SDN, ICN) Cloud Computing & Big Data Security Wireless Networking and Heterogeneous Networks His publications emphasize secure 5G networks, IoT threat analysis, and formal verification of authentication protocols. Notable trends include contributions to 5G security frameworks, federated identity management, and machine learning-based malware detection in smart environments. Scientific Awards: Best Research Paper Awards Advising/Grants: While specific grants aren’t detailed, Dr. Aiash leads research projects on secure future internet architectures and collaborates globally. He maintains certifications like Ethical Hacker and Licensed Pen-tester. Labs/Teams: Core member of the MDX Networking Group, focusing on interdisciplinary cybersecurity research.

Lazaros Filippidisمشاهده پروفایل

مدرس ارشد

• Evacuation Modelling
• Human Behavior in Emergencies
• Fire Safety Engineering
• +۳ مورد دیگر

Lazaros Filippidis is a Senior Lecturer in Evacuation Modelling at the University of Greenwich's School of Computing and Mathematical Sciences , part of the Faculty of Engineering and Science . He joined the institution in 1996 and is a core member of the Fire Safety Engineering Group . His work focuses on advancing EXODUS evacuation models and understanding human behavior during emergencies. Education: Holds a BSc (Hons) and MSc, though specific institutions are not detailed in the provided text. Research Interests: Specializes in human behavior in emergencies , adaptive decision-making , and large-scale evacuation trials . His projects include EU-funded initiatives such as SAFEGUARD , IN-PREP , and GETAWAY , addressing aviation, maritime, and urban evacuation challenges. He has pioneered methodologies for collecting human performance data and validating evacuation models. Publications & Awards: Authored/co-authored over 100 publications, including influential works on signage effectiveness, ship evacuation, and wildfire response. Recognized with the Jack Bono Engineering Communications Award (2008) and two Hodgson Prizes (1998, 2002) for exceptional contributions to fire safety engineering. Advising & Grants: Led major EU projects involving collaboration with industrial partners, managing tight schedules and delivering impactful outputs. Advised on the Horizon 2020 FIRE-IN project. Organized annual Principles and Practice of Evacuation Modelling courses and developed e-learning platforms for international audiences. Labs & Teams: Integral to the Fire Safety Engineering Group, contributing to software development (e.g., airEXODUS , urbanEXODUS ) and live trial protocols for evacuation scenarios. His work bridges academic research with real-world crisis management strategies.

Amal Ahmedمشاهده پروفایل

استاد

• Programming Languages
• Compiler Verification
• Secure Compilation
• +۳ مورد دیگر

Dr. Amal Ahmed is a Professor of Computer Science at Northeastern University's Khoury College, where she leads research on programming languages and compilers. Her work develops formal foundations for secure multi-language software systems. Core research areas: Compiler correctness for heterogeneous codebases Type-preserving compilation Secure interoperability (FFI/ABI semantics) Gradual typing theory Recent publications address WebAssembly security, probabilistic program verification, and ABI specification. Methodological innovations include logical relations for compiler verification and multi-language semantic frameworks. Honors and funding: NSF CAREER Award (2015) Google Faculty Research Award (2014) DARPA V-SPELLS grant NSF SHF grants Dr. Ahmed directs the SILC (Secure Interoperability, Languages, and Compilers) group and co-organizes programming languages mentoring workshops. She teaches graduate courses on type theory and compiler verification.

Prasad A. Kulkarniمشاهده پروفایل

استاد

• Compilers
• Computer Architecture
• Runtime Systems
• +۴ مورد دیگر

Prasad A. Kulkarni is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Kansas. He leads the Compilers, Architectures, and Runtime Systems (CARS) research group, focusing on compiler optimizations, runtime systems, and cyber-security in embedded systems. His work addresses challenges like efficient parallel execution, compiler phase ordering, and secure software execution on multi-core and heterogeneous architectures. Education: Ph.D. in Computer Science from Florida State University (2007). Awards include the NSF CAREER Award (2010) and the Harry Tally Excellence in Teaching Award (2012, 2017). He has advised numerous graduate students in areas such as compiler transformations, virtual machine optimization, and binary analysis. Research interests span compiler design, computer architecture, and runtime systems. Recent work emphasizes binary analysis for security (e.g., detecting security checks in binaries) and improving performance in embedded systems. His publications explore topics like dynamic binary translation, memory management, and decompiler accuracy. Teaching includes courses on compilers, computer systems design, and security. He actively recruits students interested in solving efficiency and security challenges in modern computing systems.

Martin Thuoمشاهده پروفایل

استاد

• Materials Science
• Nanotechnology
• Sustainable Manufacturing
• +۶ مورد دیگر

Martin Thuo is a Professor in the Department of Materials Science and Engineering at NC State University's College of Engineering. His research focuses on frugal innovation, functional soft matter, surfaces/interfaces, and metastable materials. His group develops self-assembly techniques for creating functional devices and explores low-cost solutions for healthcare and sustainability. Key projects include low-temperature solders commercialized via a startup, microelectronics, and recycling technologies. Thuo advocates for cognitively diverse teams and collaborates globally through initiatives like the NSF-STC Center for Complex Particle Systems (COMPASS). He engages in outreach to build scientific capacity, particularly in Africa through CERA programs. His work spans interdisciplinary areas such as nanotechnology, sustainable manufacturing, and material synthesis. Notable collaborations include industry partnerships and global academic networks. Thuo's lab emphasizes translating research into practical applications, with a focus on undercooled metals, smart materials, and environmental solutions. His group actively recruits motivated graduate students and postdoctoral researchers.

• Real-time Systems
• Storage Systems
• Information Theory
• +۳ مورد دیگر

Carlos A. Rincon C. is an Instructional Associate Professor in the Computer Science Department at the University of Houston. Born in Venezuela, he brings extensive industry and international academic experience to his role, having previously served at Universidad del Zulia. His research integrates Information Theory with real-time systems scheduling to solve practical computing problems. Education includes: PhD in Computer Science, University of Houston (2014-2018) PhD in Informatics (Diploma of Advanced Studies), Universidad Politécnica de Madrid (2005-2008) Master in Telematics, Universidad Rafael Belloso Chacín (2001-2003) Bachelor in Computer Science, Universidad del Zulia (1994-2000) Research focuses on bridging theoretical computer science with real-world applications, particularly in: Real-time systems scheduling using entropy-based heuristics Storage system optimization through probabilistic compression Algorithmic efficiency in multiprocessor environments Publications demonstrate consistent focus on optimizing system performance through mathematical modeling, with recent work emphasizing entropy metrics in scheduling algorithms. Awards include: Best Paper Award nominee at IEEE International Symposium Outstanding Paper Award for multi-mode FRP task scheduling Advises graduate students on projects including disk failure prediction using ML and probabilistic compression optimization. Directs the ConocoPhillips Computer Science Learning Center, enhancing student resources for core CS courses.