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Louis WehenkelView profile

Professor

• Machine Learning
• Stochastic Simulation
• Optimization
• +7 more

Louis Wehenkel is a full Professor of Stochastic Methods at the Department of Electrical Engineering and Computer Science, University of Liège, Belgium. He joined the faculty in 1998 and has held leadership roles, including Chair of the Department (2011–2014) and Director of the Montefiore Institute’s Research Unit (2016–2022). His work bridges machine learning, stochastic simulation, and optimization, with applications in electric power systems, bioinformatics, and industrial control. Education: Master's (1986), Ph.D. (1990), and Thèse d'agrégation (1994) from the University of Liège. Research Interests focus on: Machine learning (tree-based models, graphical models, reinforcement learning) Electric power systems reliability and decision-making under uncertainty Bioinformatics and computational systems biology Stochastic optimization for complex systems Publications emphasize probabilistic approaches to power systems, tree ensemble methods, and interdisciplinary applications in energy, biology, and industrial control. Scientific Awards : 2024 Elected Member, Academia Europaea 2019 SIMONS Foundation Fellowship 2007 Emeritus Member, SEE 1996 SIEMENS Belgium Prize 1987 IBM Belgium Prize Advising and Grants : He served as Scientific Advisor for the GARPUR European FP7 project (2013–2017) and spent sabbatical periods at the Isaac Newton Institute (Cambridge, UK) and RTE-France’s R&D division (2019). Labs and Teams : He leads research at the Montefiore Institute, University of Liège, focusing on data-driven methods for power systems and bioinformatics.

Maggie ChengView profile

Professor

• Machine Learning
• Complex Networks Analysis
• Applied Statistics
• +11 more

Maggie Cheng is a Professor of Applied Mathematics and Director of the Center for Interdisciplinary Scientific Computation at Illinois Institute of Technology (IIT). She holds a Ph.D. from the University of Minnesota at Twin Cities. Her research focuses on interdisciplinary applications of data science and network science, including machine learning for power grids, cybersecurity, and complex systems analysis. She leads NSF-funded projects on real-time data analytics for energy systems and human dynamics inference from data streams. Key areas of expertise include machine learning, complex networks analysis, applied statistics, optimization algorithms, and wireless sensor networks. Her work bridges theoretical foundations with practical applications in power systems, communications, and biomedical informatics. She serves as Associate Editor for Frontiers in Big Data , IEEE Journal of Biomedical and Health Informatics , and International Journal of Sensor Networks . Current sponsored research includes projects on energy cyber-physical systems, network security analysis, and big data inference methodologies. She actively mentors Ph.D. students in applied mathematics and interdisciplinary computational science, emphasizing novel machine learning approaches for critical infrastructure resilience.

• Urban Design
• Landscape Architecture
• Equitable Urban Resource Access
• +3 more

Ron Henderson is a Professor of Landscape Architecture + Urbanism and Director of Research for the Alphawood Arboretum at Illinois Institute of Technology's College of Architecture. He coordinates the Second Year M.LA+U Studio and teaches courses in urban design, professional practice, and ecological design. His research explores the natural history of cities, equitable resource access, driverless vehicle navigation systems, and cultural landscapes of Asia. He leads over $4 million in NSF-funded research and has authored books such as 30 Trees and The Gardens of Suzhou . His professional practice, LIRIO Landscape Architecture, designs award-winning cultural landscapes globally, including projects in Asia, Europe, and North America that have planted over 900,000 trees. Recent publications focus on urban stormwater equity, driverless vehicle navigation integrity, and comparative studies of Chinese/Japanese gardens. His work bridges academic research with professional practice through interdisciplinary methods and community engagement. Research grants: NSF, Nayar Prize, Illinois-Indiana Sea Grant Professional affiliations: Director of Alphawood Arboretum, Fellow of ASLA Labs/teams: Alphawood Arboretum research initiatives, LIRIO collaborative projects

Elizabeth ReddyView profile

Academic

• Risk Management
• Seismology
• Engineering Education
• +4 more

Elizabeth Reddy is a Teaching Assistant Professor jointly appointed in the Division of Engineering, Design, and Society and the Geophysics Department at the Colorado School of Mines. Her research focuses on how experts address and communicate about risks related to geohazards, particularly earthquakes, and the social dimensions of environmental data and engineering education. She holds a bachelor’s in Cultural Anthropology from Reed College, a master’s in Social Science from the University of Chicago, and a PhD in Cultural Anthropology from the University of California, Irvine. Her work examines how engineers, scientists, and communities collaborate to mitigate hazards, with funding from the NSF and other organizations. Key themes include earthquake early warning systems in Mexico and the U.S., equitable access to environmental data, and innovative engineering education practices. She has conducted fieldwork in clinics, laboratories, and archives, emphasizing interdisciplinary approaches to risk reduction. Reddy’s recent research explores making environmental data accessible for just outcomes and developing curricula that integrate social responsibility into engineering training. She previously worked on an NSF-funded project revolutionizing engineering education at the University of San Diego, designing pedagogical workshops and interdisciplinary modules. Her grants and collaborations highlight a commitment to bridging technical and social sciences, with a focus on marginalized communities and environmental justice. She advocates for equitable risk communication and the integration of ethical frameworks into engineering practice.

Lance FiondellaView profile

Associate Professor

• System Reliability
• Software Resilience
• Cybersecurity
• +1 more

Dr. Lance Fiondella is Associate Professor of Electrical and Computer Engineering and Director of the Cybersecurity Center at the University of Massachusetts Dartmouth. He holds PhD (UConn) and MS (UConn) in Computer Science, and BS (Eastern Connecticut State). His research in software/system reliability and resilience engineering has produced 150+ publications. As Director of NSA/DHS-designated Center of Academic Excellence in Cyber Research, he leads cybersecurity education and research initiatives. Funded projects include $1.2M NSF CyberCorps Scholarship program and ONR grants for resilient ML systems. His work develops quantitative methods for reliability assessment of autonomous systems, network vulnerability, and cybersecurity. He maintains collaborations with Army Research Lab, NAVAIR, and Army Corps of Engineers. Recent publications focus on adaptive AI for intrusion detection and resilience modeling.

Amittai AviramView profile

Associate Professor

• Parallel Computing
• Deterministic Systems
• Operating Systems
• +4 more

Amittai Aviram is an Associate Professor of the Practice in the Department of Computer Science at Boston College's Morrissey College of Arts and Sciences. He holds dual PhDs in Computer Science (Yale University) and English (Yale University), with research spanning parallel computing, deterministic systems, compiler design, and literary theory. His research integrates: Operating system support for deterministic parallelism Cloud computing security and timing channels Economic simulations of democratically managed enterprises Formal approaches to lyric poetry and literary theory His publications demonstrate interdisciplinary expertise, with recent computer science work focusing on parallel programming models (OpenMP), cloud security, and deterministic systems, alongside literary scholarship on poetry, modernism, and dialogism. He maintains educational resources including implementations of B+ trees and Huffman coding algorithms.

Raheem A BeyahView profile

Professor

• Network Security
• Cyber-Physical Systems Security
• Network Traffic Characterization
• +3 more

Raheem A Beyah is the Dean of the College of Engineering at Georgia Tech and holds the Southern Company Chair. He is a Professor in the School of Electrical and Computer Engineering, leading the Communications Assurance and Performance Group (CAP). His research focuses on network security, cyber-physical systems, and critical infrastructure protection. Education: BS in Electrical Engineering from North Carolina A&T State University (1998), MS and PhD in Electrical and Computer Engineering from Georgia Tech (1999-2003). Prior roles include Vice President for Interdisciplinary Research, Interim ECE Chair, and affiliations with the Institute for Information Security & Privacy (IISP). Research interests span network security monitoring, industrial control systems, and IoT vulnerability analysis. Notable achievements include the NSF CAREER Award (2009), ACM Distinguished Scientist (2016), and IEEE Fellow (2025). Advising and grants: Founded Fortiphyd Logic, Inc., and led initiatives like the Online Masters of Cybersecurity (OMS Cybersecurity). Community involvement includes KIPP WAYS Academy board service and leadership programs with United Way and Leadership Atlanta. Labs/Teams: CAP Group focuses on secure network infrastructure and accountable computing systems. Active in academic mentoring through programs like LSAMP and SURE.

• Structural Engineering
• Structural Reliability
• Earthquake Engineering
• +2 more

Ziqi Wang is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of California, Berkeley, specializing in structural reliability, earthquake engineering, and uncertainty quantification. His research develops computationally efficient methods that integrate domain-specific knowledge for analyzing infrastructure resilience under natural hazards. Education: Ph.D. in Civil Engineering, Southwest Jiaotong University, China (2015) B.S. in Civil Engineering, Southwest Jiaotong University, China (2010) Research Interests: Professor Wang's work centers on interpretable probabilistic analysis for structural reliability, emphasizing methods that leverage civil engineering domain knowledge. Key focus areas include computational reliability techniques for high-dimensional problems, statistical physics applications for regional-scale hazard impact analysis, and physics-informed machine learning for seismic response prediction. His research bridges civil engineering with computational science to address challenges in infrastructure resilience. Publication Trends: Recent publications (2024-2025) demonstrate a strong shift toward hybrid modeling approaches combining physics-based principles with data-driven techniques. A recurring theme is the development of interpretable surrogate models for high-dimensional reliability analysis, particularly for lifeline networks and structural systems under seismic events. His work increasingly integrates statistical physics concepts to model systemic infrastructure behavior during disasters. Scientific Awards: Society of Hellman Fellows Fund Award (2024) Advising and Teaching: Professor Wang mentors graduate students through Individual Research (CIVENG 299) and teaches specialized courses including Uncertainty Quantification for Engineering (CIVENG 293), Engineering Risk Analysis (CIVENG 193), and Structural System Reliability (CIVENG 229). His teaching emphasizes practical computational methods for real-world engineering challenges. Laboratories and Research Groups: While specific lab names aren't detailed in source materials, his research aligns with Berkeley's Pacific Earthquake Engineering Research Center (PEER) initiatives, focusing on collaborative infrastructure resilience projects involving structural dynamics and regional risk modeling.

Mashhuda GlencrossView profile

Associate Professor

• Computer Graphics
• Human-Computer Interaction
• Virtual and Augmented Reality
• +6 more

Associate Professor Mashhuda Glencross is Deputy Associate Dean Academic (Students) in the Faculty of Engineering, Architecture and Information Technology (EAIT) at The University of Queensland (UQ). She holds a PhD in Computer Science from The University of Manchester. Her research focuses on computer graphics, human-computer interaction, and their applications to real-world challenges in renewable energy, health, and disaster resilience. She leads projects on visualisation technologies for decision-making during natural disasters and smart grid systems. Education: BSc (Hons) Polymer Science & Engineering, MSc Computer Science, PhD Computer Science (University of Manchester) Industry Experience: Former Technical Product Manager at ARM Ltd, Co-founder of two UK tech startups, Research Director at Pismo Software (VR interior design), and Director of Research at a smart heating company. Her work spans virtual reality (VR) , augmented reality (AR) , and cybersecurity for mixed-reality systems . Recent projects include developing AI tools for education assessment and grid health visualization platforms. She is a Senior Member of the ACM and serves on editorial boards for Computers & Graphics and ACM PACM journals . Awards include the GRSI Best Paper Award 2021 and recognition for contributions to ACM's Europe Council Best Paper Awards . Her research has commercial impact in gaming, visual effects, and mobile technologies. Current initiatives include the Centre for Energy Data Innovation and supervision of students in energy systems and HCI. She advocates for inclusive technology design and resilience engineering.

Sankaran MahadevanView profile

Professor

• Uncertainty Quantification
• Risk and Reliability Analysis
• Machine Learning
• +7 more

Dr. Sankaran Mahadevan is the John R. Murray Sr. Professor of Engineering at Vanderbilt University's School of Engineering, with dual appointments in Civil and Environmental Engineering and Mechanical Engineering. He directs the Master's program in Risk, Reliability, and Resilience Engineering and co-directs the Laboratory for Systems Integrity and Reliability (LASIR). His research focuses on uncertainty quantification, risk analysis, machine learning, and decision-making under uncertainty, with applications to aerospace, civil, and mechanical systems. He leads NSF, NASA, DOE, and industry-funded projects on digital twin methodologies for aircraft, ship structures, and additive manufacturing. Education: PhD from Georgia Tech, MS from Rensselaer, BS from IIT Madras Professional Roles: Managing Editor of ASCE-ASME Journal of Risk and Uncertainty, Vice-President of ASCE Engineering Mechanics Institute Research interests include probabilistic modeling for infrastructure resilience, AI-driven prognosis, and safety-critical systems. He has authored 600+ publications, including two textbooks, and advised 70+ graduate students. Awards include AIAA, ASCE, and PHM Society Fellowships, and the SEC Faculty Achievement Award. Current projects include NASA-funded air traffic safety modeling and DOE-supported power grid reliability studies. His work bridges computational methods with real-world engineering challenges, emphasizing interdisciplinary collaboration across academia and industry.

Xenofon KoutsoukosView profile

Professor

• Cyber-physical Systems
• Sensor Networks
• Network Controllability
• +3 more

Xenofon Koutsoukos is the Thomas R. Walters Chair and Professor of both Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on hybrid and embedded systems, cyber-physical systems, and sensor networks. He holds a Ph.D., M.S. in Electrical Engineering, M.S. in Applied Mathematics from the University of Notre Dame, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Key research interests include network controllability, graph machine learning, resilient distributed systems, and autonomous systems security. He leads efforts in advancing cyber-physical systems resilience through adaptive algorithms and secure architectures. His work integrates principles from control theory, machine learning, and network science to address challenges in critical infrastructure security and autonomous systems. Notable contributions span fault-tolerant machine learning frameworks, UAV navigation algorithms, and secure peer-to-peer learning systems. His research is supported by interdisciplinary collaborations in areas like cyber-physical systems security and AI-driven design automation. Xenofon's intellectual neighborhoods include Big Data Science and Engineering, Cyber-physical Systems, and Risk and Reliability. He actively contributes to advancing the theoretical foundations and practical implementations of secure, intelligent systems through his academic leadership and publications.

Meiyi MaView profile

Assistant Professor

• Artificial Intelligence
• Formal Methods
• Cyber-Physical Systems
• +7 more

Introduction Dr. Meiyi Ma is an Assistant Professor in the Department of Computer Science and the Institute for Software Integrated Systems at Vanderbilt University . Her research integrates machine learning and formal methods to build safe, reliable Cyber-Physical Systems (CPS), with applications in Smart Cities , Healthcare , and Emergency Response . She holds a PhD from the University of Virginia under Professors John A. Stankovic and Lu Feng. Education PhD in Computer Science, University of Virginia Research Interests Dr. Ma’s work focuses on risk-aware AI systems , verified AI , and explainable machine learning . She develops solutions for safety-critical CPS in domains like urban infrastructure, healthcare, and emergency management. Key projects include: - Formal methods for federated learning and unlearning attacks - AI-driven systems for non-emergency call handling - Runtime monitoring in smart cities using temporal logic Award Highlights Google Academic Research Award (2024) NSF grants for GenAI in emergency response and STEM education (2024) Best Service Award at IEEE/ACM CHASE (2024) VUSE Community Impact Research Award (2024) Grants & Advising Dr. Ma leads NSF-funded projects on GenAI in dispatcher training and emergency response. She advises multiple PhD students, including Ziyan An (federated learning) and Hanchen Wang (remote physical therapy systems). Undergraduate researchers contribute to projects like AI route generation and safety monitoring. Labs & Collaborations Her lab collaborates with Metro Nashville Government on emergency response systems and Nashville Public Schools on AI-driven alert systems. Recent activities include organizing workshops on Future Technologies for Emergency Response and hosting industry visits to Vanderbilt’s CPS research facilities.

Johan BlomkvistView profile

Associate Professor

• Human-Computer Interaction
• Interaction Design
• Service Design
• +5 more

Johan Blomkvist is an Associate Professor (Docent) at Linköping University's Department of Computer and Information Science (IDA), part of the Human-Centered Systems (HCS) research group. His affiliation includes the IDA department and HCS school within the university's broader technical and design-focused academic structure. Blomkvist's research focuses on service design, interaction design, and human-computer interaction with an emphasis on ethical considerations, inclusive technologies, and future-oriented systems. He explores topics like AI ethics, accessibility for vulnerable populations, and the materiality of data in design processes. His work bridges theoretical frameworks with practical applications in education, robotics, and public infrastructure. His recent publications (2020-2025) reveal a trend toward analyzing uncertainties in emerging technologies (e.g., human-AI interaction, autonomous transport), developing prototyping methods for trust-building, and redefining service design through speculative and critical lenses. The 2023-2025 articles particularly highlight explorations of unintended consequences in AI systems and inclusive design for children with disabilities. Blomkvist has contributed to pedagogical innovations through courses integrating interaction design and robotics. His methodologies emphasize co-creation with stakeholders and interdisciplinary collaboration. Despite extensive research output, no specific scientific awards are listed in the provided materials. His work extends to service design curriculum development and industry-academia partnerships, focusing on real-world application of design thinking. Current research themes include service innovation through prototyping, data-driven design, and critical perspectives on service ecosystems.

Burak KantarciView profile

Professor

• Internet of Things (IoT)
• AI-based Security
• Vehicular Networks
• +6 more

Dr. Burak Kantarci is a Full Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa. He holds a University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures and a courtesy faculty appointment at Clarkson University. His research focuses on IoT, AI-based security, vehicular networks, and edge computing. Education and Career: Previously an Assistant Professor at Clarkson University (before joining University of Ottawa) and a Research Fellow at University of Ottawa (2009–2014). He is a Professional Engineer (P.Eng) in Ontario. Research Interests: Includes continuous authentication, communication models for big data, crowdsensing, and vehicular sensing. He leads the NEXTCON-SCVI Labs and has published over 200 peer-reviewed works. Articles Trends: Recent work emphasizes AI-driven security solutions, autonomous systems safety, and 5G/6G networking challenges. Topics include adversarial detection, UAV optimization, and edge computing efficiency. Awards: Distinguished Lecturer (IEEE Communications & Systems Societies), ACM Distinguished Speaker, Senior Member (ACM/IEEE). Grants & Advising: Principal Investigator on NSERC/CFI/NSF-funded projects. Advises on grants focused on smart infrastructure and secure networking. Labs/Teams: Founder of NEXTCON-SCVI Labs, focusing on communications, computing networks, and smart vehicles innovation.

Ina Kathrin SchieferdeckerView profile

Professor

• Digitalisation & Sustainability Transformation
• Software-based Innovation
• Technological Sovereignty
• +7 more

Prof. Ina Schieferdecker is a renowned academic and researcher with over 30 years of experience in mathematical computer science, digital transformation, and technological innovation. Currently serving as an Honorary Professor at Technische Universität Berlin since 2021, she has held leadership roles such as Director at Fraunhofer FOKUS, General Director at the Federal Ministry of Education and Research, and co-founder of the Weizenbaum-Institut für die vernetzte Gesellschaft. Her research focuses on digitalization and sustainability, software quality engineering, IoT testing, and urban data platforms. Education: She earned a Diploma in Mathematical Computer Science from Humboldt-Universität (1985–1990), followed by a PhD in performance-oriented communication protocol specifications at TU Berlin (1991–1994). She also completed a research stay at the International Computer Science Institute in Berkeley (1996). Research Interests: Her work spans digital sustainability transformation, software-based innovation, technological sovereignty, and quality engineering. Key areas include model-based testing, security testing, smart city frameworks, and open data governance. She pioneered the UML Testing Profile and contributed to the development of TTCN-3 testing standards. Key Achievements: Co-founded the Weizenbaum Institute to explore societal impacts of digital technologies. Led initiatives in AI, quantum computing, and 6G research at the Federal Ministry. Recognized with the Alfried Krupp von Bohlen und Halbach-Stiftung award for advancing automated test design and model-based testing. Awards: Recipient of the Alfried Krupp von Bohlen und Halbach-Stiftung award for her contributions to testing methodologies and software quality. Grants and Labs: Founded Fraunhofer FOKUS’s Test Lab and led the Berlin Center for Digital Transformation. Active in industry partnerships through roles like CSO at Testing Technologies IST GmbH and board memberships in innovation foundations. Labs/Teams: Headed the System Quality Center at Fraunhofer FOKUS and collaborated internationally on testing frameworks with teams in Sophia-Antipolis, Budapest, and beyond.