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William HallahanView profile

Assistant Professor

• Formal methods
• Functional languages
• Network systems
• +3 more

William Hallahan is an Assistant Professor in the School of Computing at Binghamton University. He joined the faculty in August 2022 following his PhD in Computer Science from Yale University (May 2022), where he was advised by Ruzica Piskac. His research focuses on formal methods, functional languages, and network systems, with an emphasis on techniques that simplify code verification and automated reasoning. Education: PhD in Computer Science, Yale University, 2022 BA in Mathematics and Computer Science, College of the Holy Cross Research interests include: Program verification for functional languages Automated debugging and repair systems Network system verification (firewalls, P4 programs) Control plane synthesis for programmable networks Publications highlight contributions to symbolic execution, firewall repair, and P4 verification frameworks. Current research emphasizes developing practical formal techniques to reduce programmer error and improve code reliability. He maintains an active research group with multiple funded PhD positions available starting Spring 2023.

Stephen EllingsonView profile

Professor

• Sociology of Religion
• Sociology of Culture
• Social Movements
• +3 more

Stephen Ellingson is a Professor of Sociology at Hamilton College, specializing in the sociology of religion, culture, and social movements. His research focuses on topics such as megachurches, environmental movements, and collective behavior, including his recent work on New York's local food movement. He earned a Ph.D. in Sociology from the University of Chicago, with additional degrees from Luther Northwestern Theological Seminary and Seattle Pacific University. Ellingson has authored influential books like To Care for Creation (2016) and The Megachurch and the Mainline (2007), which won the Distinguished Book Award from the Society for the Scientific Study of Religion. His work bridges religious institutions with broader societal issues, including healthcare ethics through co-authored texts like Organizational Ethics in Health Care (2001). He has held leadership roles at Hamilton College, including Director of the Levitt Center Sustainability Program (2014–17) and Chair of the Sociology Department (2010–12). Ellingson’s research has been supported by grants from organizations like The Louisville Institute and The Wabash Center. His teaching spans courses on American society, organizational culture, and the sociology of religion. Key contributions include analyzing the interplay between religion and environmentalism, the cultural dynamics of megachurches, and the sociological underpinnings of social movements. His interdisciplinary approach integrates religion, ethics, and environmental studies, reflecting a commitment to understanding how institutions shape—and are shaped by—cultural and moral frameworks.

• Operations Research
• Decision Analytics
• Supply Chain Management
• +5 more

Laurent ALFANDARI is a Full Professor at ESSEC Business School, specializing in Operations Research and Decision Analytics within the Information Systems, Decision Sciences and Statistics (IDS) Department. He has held key academic roles including Academic Co-Director of the ESSEC-CentraleSupélec Master in Data Sciences & Business Analytics (2019–2023) and Coordinator of the Operations & Data Analytics PhD concentration (2018–2021). His research focuses on optimization techniques applied to supply chains, logistics, healthcare, and disaster preparedness. He has authored over 50 journal articles in top venues like European Journal of Operational Research and Transportation Science. Education : - Doctorate in Operations Research (Université Paris Dauphine-PSL, 1999) - Master of Research in Management Science (Université Paris Dauphine-PSL, 1995) - M.Sc in Management (ESSEC Business School, 1993) - Bachelor in Mathematics & Social Sciences (Université Paris Dauphine-PSL, 1990) Research Interests : His work addresses complex optimization challenges in urban logistics, healthcare networks, and disaster response. Notable contributions include freight-on-transit systems, autonomous robot delivery, and pandemic intervention sequencing. He emphasizes practical solutions for real-world problems through mixed-integer programming and robust optimization frameworks. Teaching & Mentoring : Teaches Decision Analytics and Operations Research across ESSEC programs (Grande École, Executive MBA, PhD). Supervised 14 PhD theses, including recent works on sustainable last-mile deliveries and healthcare analytics. Awards & Activities : 2020 ESSEC Top 4 Teaching Award, Vice-President of ROADEF (2012–2015), and leader in industrial collaborations with SNCF and Aid-Impact. Active in organizing academic conferences and serves as a journal reviewer for Annals of Operations Research and others. Labs & Collaborations : Member of LIPN (Sorbonne Université) and LAMSADE (Paris Dauphine). Consults for organizations like Babcock-Wanson and contributes to public-sector projects like EDF's ROADEF challenge.

Xuanjun GongView profile

Assistant Professor

• Media Selection
• Computational Modeling
• Communication Networks
• +4 more

Xuanjun (Jason) Gong is an Assistant Professor in the Department of Communication and Journalism at Texas A&M University. His research program bridges computational modeling, media psychology, and neuroscience to investigate sequential media selection, information diffusion, and neural correlates of media engagement. He employs diverse methodologies including fMRI, behavioral experiments, and large-scale social media analysis. Gong's research focuses on the computational mechanisms of media choice, exploring how curiosity, mood, and cognitive processes shape decisions in dynamic media environments. His work formalizes theories like mood management and flow states using drift-diffusion models and network neuroscience approaches. Key themes include prediction of media behaviors, cross-platform information spread, and neurocognitive foundations of audience engagement. His publications demonstrate consistent emphasis on developing integrative frameworks that combine communication theory with computational rigor. Recent work advances understanding of time-dependent media selection, neural dynamics during flow experiences, and social media discourse patterns during exogenous events. Gong's research has been recognized with a Graduate Student Award (CNS21). Awards & Honors: Graduate Student Award, CNS21 (2021)

Lutz EcksteinView profile

Professor

• Automotive Engineering
• Automated Driving Systems
• Vehicle Dynamics
• +4 more

Univ.-Prof. Dr.-Ing. Lutz Eckstein is the Head of the Institute of Automotive Engineering (ika) at RWTH Aachen University and a leading expert in automotive engineering. He concurrently serves as President of the VDI Association of German Engineers, President of the VDI Scientific Advisory Board for the Federal Ministry of Digital and Transport (BMDV), and Scientific Director of the NRW Competence Network for Automated and Connected Mobility. His professional background includes senior roles at BMW and DaimlerChrysler, focusing on vehicle safety, driver assistance systems, and ergonomics. Eckstein holds a Doctorate from the University of Stuttgart (2000) and received the Artur Fischer Prize (1995) for academic excellence. His research interests span automated driving systems, human-machine interfaces, scenario-based testing, and mobility infrastructure. He leads high-profile projects like UNICARagil and coordinates the Mobility and Transport profile at RWTH Aachen. Over 80 patents and publications reflect his contributions to automotive innovation, including advancements in sensor fusion, digital twins, and cooperative intelligent transport systems (C-ITS). His recent work emphasizes safety assurance for automated vehicles, scenario databases, and scalable simulation frameworks. Eckstein's interdisciplinary approach bridges academia and industry, driving transformative solutions for future mobility challenges.

Lise MagnierView profile

Researcher

• Sustainable Design
• Consumer Behavior
• Circular Economy
• +3 more

Dr. Lise Magnier is a researcher affiliated with the Faculty of Industrial Design Engineering at TU Delft, specializing in the department of Responsible Marketing and Consumer Behavior. Her work focuses on sustainable design practices, consumer behavior in circular economies, and the development of responsible marketing strategies for eco-friendly products. She actively teaches courses such as 'Sustainable Consumer...' (2024) and 'Understanding Values' (2023), integrating research insights into her pedagogy. Her research interests span multiple domains including food waste reduction , reusable packaging systems , refurbished electronics adoption , and design interventions for behavioral change . Notable projects include exploring environmental break-even points for consumer packaging decisions and speculative design approaches for sustainable digital futures. Lise’s recent articles (2023–2025) consistently highlight trends in design-driven sustainability , emphasizing how visual design cues, eco-labeling, and system architecture influence consumer choices. Key themes include mitigating contamination concerns in refurbished products and optimizing refillable packaging for fast-moving consumer goods (FMCG). Received the Best Paper Award in October 2024 for her work on speculative design for sustainable digital futures. In advising and grants, she collaborates on projects that bridge academic research with industrial applications, particularly in the FMCG and electronics sectors. Her work often involves interdisciplinary teams exploring consumer psychology , packaging innovation , and modular design . Lise is part of TU Delft’s Research labs focused on design and AI, health, and sustainability, contributing to initiatives that align with the university’s mission to advance circular economies and responsible innovation.

Thomas LembergerView profile

Researcher

• Software Verification
• Formal Methods
• Software Testing
• +9 more

Thomas Lemberger is a researcher in the Department of Computer Science at Ludwig-Maximilians-Universität München (LMU Munich), contributing to the Software and Computational Systems Lab. He specializes in software verification, formal methods, and automated testing, with a focus on improving tool efficiency and scalability. His work includes extensions to CPAchecker, such as distributed summary synthesis and cooperative verification approaches, as well as developing user-friendly tools like CoVeriTeam GUI. His research interests involve integrating verification into build systems and IDEs, optimizing verification workflows, and exploring hybrid techniques that combine testing and formal methods. He has actively participated in competitions like SV-COMP and Test-Comp, contributing tools like PRTest and Nacpa. His projects aim to reduce tool restarts, enhance fault localization, and streamline verification processes through parallel portfolio analyses. Thomas mentors students on topics related to verification tool development, test-case generation, and open-source software. His contributions are supported by grants from the DFG (CONVEY, COOP, IDEFIX), emphasizing cooperative verification and scalable analysis. Recent work focuses on enabling developers to use verification tools seamlessly within their existing workflows.

Eefje HendriksView profile

Assistant Professor

• Disaster Resilience
• Humanitarian Assistance
• Disaster Risk Reduction
• +7 more

Eefje Hendriks is an Assistant Professor of Disaster Resilience and Humanitarian Assistance at the University of Twente's Faculty of Geo-information Science and Earth Observation (ITC). She holds a PhD from Eindhoven University of Technology and dual MSc degrees (cum laude) in Architecture and Building Technology. Her research focuses on disaster risk reduction, post-disaster reconstruction, climate change adaptation, and decision-making in vulnerable communities. Current projects include a Veni Grant-funded initiative exploring safer housing recovery strategies in low-income countries. She also advises the EU's Climate Change Adaptation Policy Support Facility and collaborates with NGOs like Doctors Without Borders. Teaching roles include co-developing the Humanitarian Engineering master's program and lecturing at TU Delft and University of Sydney. Key research themes: Disaster resilience in multi-hazard environments Decision-making pathways for safer self-recovery Climate adaptation strategies for the built environment Application of digital tools in disaster response Her recent work emphasizes inclusive disaster studies, having co-edited special issues promoting early-career researcher voices. Awards include the 2024 University of Twente Social Media Award and 2020 Sustainable Teacher recognition for innovative fieldwork in refugee camps. Professional service includes board roles at Technology for Global Development (TU/e) and membership in the University of Twente's Centre for Disaster Resilience. She actively bridges academic research with humanitarian practice through global collaborations and policy engagement.

William WoodgateView profile

Lecturer

• Remote Sensing
• Vegetation Productivity
• Environmental Satellite Products
• +4 more

Dr William Woodgate is a Lecturer in the School of the Environment at The University of Queensland and holds dual appointments as an Amplify Research Fellow and Principal Investigator at the CSIRO/TERN-OzFlux Tumbarumba tall forest research site. His research focuses on scaling remote sensing technologies to monitor vegetation productivity and health, particularly using sun-induced chlorophyll fluorescence (SIF) and integrating LiDAR, optical, and thermal imagery. He has been an ARC DECRA Fellow and leads the Tumbarumba flux tower site, one of Australia’s longest-running and globally significant environmental monitoring sites. His research interests span remote sensing applications in climate science, ecosystem monitoring, and environmental satellite product validation. Recent work emphasizes bridging leaf-to-canopy-scale observations and advancing models for evapotranspiration, carbon fluxes, and vegetation structure analysis. Key achievements include contributions to FLUXCOM-X scaling frameworks, development of thermal and hyperspectral proximal sensing systems (THEMS), and validation of satellite products using ground-based measurements. Awards include the ARC DECRA Fellowship (2019) and UQ Amplify Research Fellowship. Collaborations span institutions globally, including CSIRO, TERN, and international research networks like OzFlux. His work addresses critical challenges in climate resilience, water resource management, and ecosystem health through innovative sensing technologies.

Theresa WindusView profile

Professor

• High Performance Computing
• Computational Chemistry
• Software Interoperability
• +3 more

Theresa Windus is a Distinguished Professor and Department Chair at Iowa State University's Department of Chemistry. She leads the Windus Group, which develops computational models to solve environmental and energy challenges, with research focusing on high-performance computing, software interoperability, heavy metal systems, and quantum chemistry methods. Her group specializes in massively parallel algorithms for state-of-the-art computational resources. Her research spans multiple disciplines including: Scalable ab initio Monte Carlo methods GPU implementations of quantum integrals Exascale computing development (NWChemEx project) Rare earth element extraction Aerosol nucleation modeling Her recent publications explore computational chemistry software sustainability, GPU-accelerated quantum chemistry, nanopore modeling, and rare earth element extraction. She has mentored numerous graduate students including Alex, Erin, Daniel Turley, and Zach who received prestigious scholarships.

Qinru QiuView profile

Professor

• Neuromorphic computing
• Machine learning
• Green computing
• +5 more

Dr. Qinru Qiu is a Distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. She holds a PhD in Electrical Engineering from the University of Southern California (2001) and a BS from Zhejiang University (1994). Her research focuses on neuromorphic computing, energy-efficient systems, and machine learning applications, emphasizing power and thermal management in embedded and high-performance computing systems. She leads NSF's Center for Alternative Sustainable and Intelligent Computing (ASIC) and serves on editorial boards of IEEE journals and conference committees. Education: PhD (USC, 2001), MS (USC, 1998), BS (Zhejiang University, 1994) Her research interests include neuromorphic architectures for cognitive applications, energy harvesting systems, and hardware-accelerated machine learning. Recent work explores in-memory computing with memristive devices and energy-efficient anomaly detection frameworks. She has published widely in top venues like IEEE/ACM conferences and journals. Notable awards include the NSF CAREER Award (2009), IEEE Region 1 Technological Innovation Award (2020), and ACM Distinguished Member (2022). She is an IEEE Fellow and served as CEDA Society Distinguished Lecturer (2023–2024). Dr. Qiu advises numerous graduate students in neuromorphic systems and energy-efficient computing. Her professional services include roles as Associate Editor for IEEE TNNLS and TCDS, and conference organizing roles at ISLPED and ICCAD.

Majd SakrView profile

Teaching Professor

• Online Learning
• Technology Enhanced Learning
• Cloud Computing
• +6 more

Majd Sakr is a Teaching Professor at the Computer Science Department of Carnegie Mellon University (CMU), where he has been actively involved in curriculum development, educational research, and project-based teaching since 2007. His academic career spans teaching courses like 15-319/15-619: Cloud Computing , 15-719: Advanced Cloud Computing , and 15-213: Introduction to Computer Systems , with course materials available across multiple CMU global campuses. He is affiliated with the Technology for Effective and Efficient Learning (TEEL) Lab , which focuses on learning methods, technology for learning systems, and workforce training. Research Interests include: Online and technology-enhanced learning Cloud computing systems and infrastructure Cross-cultural human-robot interaction (HRI) with a focus on Arabic accents Curriculum development for AI/workforce training Recent Article Trends analyze generative AI in education, cloud computing performance optimization, and collaborative programming pedagogy. His work explores LLMs' efficacy in programming assessments, auto-grading feedback, and cross-cultural HRI dynamics. Scientific Awards : Best Paper Award, Fourteenth International Conference on Machine Learning (1996) Grants & Collaborations include AWS Educate, Microsoft Azure Educator Grant, and Google Cloud Platform support for his cloud computing courses. He has co-authored publications with colleagues on AI workforce training, data pipeline analysis, and AI-driven collaborative learning frameworks.

• Megaprojects Stakeholder Management
• Big Data Analytics in Construction
• Computer-Aided Project Management
• +4 more

Dr. Jin Xue is a Lecturer in the School of Project Management at the University of Sydney, part of the Faculty of Engineering. His research focuses on stakeholder management in megaprojects using data-driven methodologies like natural language processing, network analysis, and organizational simulation. He has published extensively in leading journals such as the International Journal of Project Management and has won prestigious awards including the RICS Best Research Team of the Year (2022) and the Best Paper Award at Construction Research Congress 2020. His research interests include stakeholder dynamics, big data analytics in construction, and computer-aided project management systems. He is actively involved in advising HDR students on topics like stakeholder engagement in environmental sustainability and interorganizational project governance. Current projects include Sydney-based grants exploring big data-driven stakeholder engagement and AI applications in project management. Affiliations: Sydney Environment Institute, Sydney Institute of Agriculture Teaching: Coordinator for ENGG2851 Project Analytics and ENGG1865 Project Time, Cost and Resources Key research methods include data science techniques, network analysis, and complex systems modeling. Recent work emphasizes transitioning project management into the big data era through innovative methodologies.

Waylon BrunetteView profile

Assistant Professor

• Mobile Computing
• Computing for Development
• Ubiquitous Computing
• +5 more

Waylon Brunette is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University. His research focuses on mobile computing, computing for development, ubiquitous computing, and edge computing, with an emphasis on creating systems that integrate seamlessly into users' environments to support global health and humanitarian efforts in resource-constrained settings. He leads the development of the Open Data Kit (ODK) framework, designed to simplify mobile application development for disconnected environments. Education: Ph.D. (Computer Science, University of Washington, 2020), MS (Computer Science, UW, 2012), BSE (Computer Engineering, UW, 2002). Research interests include wireless sensor networks, sensor-enhanced systems, and frameworks for non-programmers to deploy robust applications in low-resource areas. He serves as Chair of the Research Computing Infrastructure Committee (RCIC) and Editor for the ACM Journal on Computing and Sustainable Societies. Previously, he was a co-founder of the ODK Project at UW's Allen School. Service activities include mentoring junior researchers and organizing the Southeastern Collegiate Penetration Testing Competition. His work emphasizes practical, deployable solutions for global challenges in healthcare, logistics, and international development.

• Computer Engineering
• Reconfigurable Computing
• Embedded Systems
• +4 more

Keyvan Shahin is a Professor in the Computer Engineering department at BTU Cottbus-Senftenberg. His work focuses on reconfigurable computing, embedded systems, robotics, and communication architectures. He advises multiple doctoral students including Amritha Premkumar and Muhammad Amin Qureshi. Education details are not explicitly listed in the provided text, but his research interests span adaptive UAV swarm systems, algorithm optimization for hardware architectures, and domain-specific processor design. His recent publications explore topics like modular UAV communication, polynomial connections in signal processing, and reconfigurable hardware acceleration techniques. Keyvan leads the Computer Engineering Group and contributes to projects such as the UBICO initiative. His technical expertise includes developing automated toolflows for CGRA (Coarse-Grained Reconfigurable Array) architectures and advancing adaptive processor design methodologies. He holds a Master of Science degree and can be reached at keyvan.shahin@b-tu.de . His office is located in Building 1C, Room 1.39.