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Patrizia SaviView profile

Associate Professor

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +3 more

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +3 more

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

Jenna TiltView profile

Assistant Professor

• Human Dimensions of Natural Hazards
• Disaster Recovery
• Community Resilience
• +4 more

Jenna Tilt is an Assistant Professor in the Department of Geography at Oregon State University, affiliated with the College of Earth, Ocean, and Atmospheric Sciences. Her research focuses on the human dimensions of natural hazards, equitable disaster recovery, and community resilience through participatory methods. She holds a Ph.D. and M.S. in Social Sciences from the University of Washington’s College of Forest Resources, along with a B.S. in Environmental History from Utah State University. Her work bridges social science and environmental science, emphasizing co-production of knowledge with communities. Key research areas include wildfire recovery, coastal hazards adaptation, and the Food-Energy-Water Nexus. She leads projects funded by the National Science Foundation and Oregon Sea Grant, such as the Cascadia Coastlines Hazards Hub and Wildfire Vulnerability Explorer. Dr. Tilt teaches courses on land use planning and resilient community design, both on-campus and online. She mentors postdoctoral scholars and graduate students in environmental sciences, geography, and anthropology, focusing on interdisciplinary approaches to disaster resilience. Her advising includes students like Joshua Applegate (Green Infrastructure) and Najiba Rashid (Coastal Resilience). She collaborates with diverse stakeholders through initiatives like the Global Transdisciplinary Wildfire Research Center and the Interactive Adaptation and Collaboration Tool (InterACTWEL). Recent work explores Latinx communities’ coastal resilience strategies, floodplain risk perceptions, and machine learning applications for post-wildfire water contamination assessments. Her research emphasizes equitable adaptation pathways and trust-based decision frameworks in resource management.

Joachim ArtsView profile

Professor

• Operations Research
• Supply Chain Management
• Logistics
• +3 more

Joachim Arts is a Full Professor at the University of Luxembourg in the Faculty of Law, Economics and Finance , Department of Economics and Management. He is affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting positions at MIT Sloan School of Management and Eindhoven University of Technology. His research focuses on operations research applications in supply chain management, logistics, maintenance optimization, and business analytics, often collaborating with companies like ASML and Philips. He has published extensively in top journals such as Operations Research and European Journal of Operational Research . Dr. Arts holds a European Doctoral Dissertation Award (EURO) and a Veni Career Grant from the Netherlands. His work emphasizes practical applications, including inventory systems, maintenance scheduling, and sustainability in supply chains. He previously served as an Assistant Professor at TU Eindhoven and a visiting scholar at MIT. His research bridges theoretical models with real-world industry challenges. Awards : European Doctoral Dissertation Award (201?), Veni Career Grant (201?) Visiting Appointments : MIT Sloan, TU Eindhoven Key Focus Areas : Lost sales inventory systems, condition-based maintenance, green logistics, and service parts optimization His recent work explores profitability-sustainability trade-offs in chemical value chains and dynamic supply mode selection for emission reduction. He leads initiatives in data-driven maintenance strategies and multi-echelon inventory systems.

• Metal-metal bonding
• Ligand design
• Catalysis
• +3 more

Prof. Connie Lu is a Professor at the Institute of Inorganic Chemistry within the Faculty of Mathematics and Natural Sciences at the University of Bonn. She leads the Lu Lab, which focuses on developing homogeneous catalysts for converting abundant small molecules like N₂ and CO₂ into useful chemical feedstocks such as ammonia and methanol. Her research interests encompass metal-metal bonding, innovative ligand design, sustainable catalysis, and energy conversion technologies. The lab specializes in creating ligand frameworks that enable transition metals to facilitate multi-electron and proton-coupled reactions essential for small-molecule reduction. This approach allows rapid screening of catalyst families for efficient small-molecule activation. Prof. Lu's work bridges fundamental inorganic chemistry and applied catalysis, with particular emphasis on reaction mechanisms in bimetallic systems and sustainable chemical synthesis. Her research contributes to renewable energy solutions and environmentally friendly chemical processes.

Evan Spotte-SmithView profile

Assistant Professor

• Computational Chemistry
• Data Science
• Sustainability
• +4 more

Evan Spotte-Smith is a computational scientist focusing on sustainable materials and energy systems. In Fall 2025, he will join Carnegie Mellon University as an Assistant Professor in Chemical Engineering. Previously, he completed his Ph.D. in Materials Science and Engineering at UC Berkeley under Kristin Aslaug Persson, specializing in computational simulations, machine learning, and reaction networks. His research addresses climate change through decarbonizing chemical manufacturing, improving battery technologies, and establishing ethical standards for AI in chemistry. He is a CBI Post-Doctoral Fellow, leveraging this role to advance machine learning in catalysis and electrochemistry. Education: Ph.D., Materials Science & Engineering, UC Berkeley (Advisor: Kristin A. Persson); Postdoctoral Research at CBI, CMU. Research Interests: Computational chemistry, data-driven materials discovery, sustainability in chemical processes, electrochemical systems, and ethical AI frameworks for chemical sciences. He explores how machine learning can accelerate the design of energy storage materials while addressing environmental impacts. Recent articles focus on machine learning ethics, electrochemical reaction cascades, battery degradation mechanisms, and sustainable electrolyte design. His work bridges fundamental chemistry with industrial applications, aiming to translate lab discoveries into scalable environmental solutions. Awards: CBI Post-Doctoral Fellowship, which provides mentorship and resources for early-career researchers in computational and data science. Grants/Advising: His upcoming faculty position will expand collaborations with CBI and CMU’s energy initiatives. Current focus includes decarbonizing feedstock chemicals and improving plastic recycling via electrochemistry. Labs/Teams: Active in CMU’s Center for Behavioral and Integrated Data Science (CBI), collaborating with Bosch and other industry partners on applied electrochemical challenges.

• Leadership
• Organizational Behavior
• Workplace Dynamics
• +3 more

Dr. Saima Ahmad is a Senior Lecturer at RMIT University's School of Management, focusing on cultivating sustainable work environments and investigating leadership's impact on individual well-being. With a PhD in Management from Monash University, her research spans organizational behavior, workplace dynamics, and leadership ethics, addressing critical issues such as bullying, resilience, and digital disruption. She coordinates courses in the RMIT MBA program and serves on editorial boards for the European Management Journal and PLoS One . Education: PhD in Management from Monash University Her research emphasizes positive leadership styles and their influence on employee engagement and organizational sustainability. Recent work explores servant leadership in the construction industry and the role of green human resource management in fostering environmental citizenship. She has pioneered studies on workplace bullying and its mitigation through ethical leadership frameworks. Her scientific awards include the 2022 RMIT GSBL Dean’s Merit Award for HDR Leadership Excellence for her contributions as HDR Coordinator (2022-2024), where she enhanced PhD completion rates and student support systems. She actively supervises Masters and PhD research candidates, focusing on leadership and organizational behavior.

• Aerodynamics
• Aeroacoustics
• Renewable Energy Systems
• +4 more

Delibra Giovanni is an Associate Professor at Sapienza University of Rome, specializing in aerodynamics, aeroacoustics, and renewable energy systems. His research focuses on optimizing turbomachinery performance, including axial fans, wind turbines, and hydrogen storage systems. He employs advanced computational fluid dynamics (CFD) and machine learning techniques to address challenges in renewable energy integration, thermal management, and noise reduction. Key research areas include: Wind energy systems and offshore wind farm design Hydrogen storage and safety in green energy applications Aeroacoustic control in industrial fans and turbines CFD-based optimization of heat exchangers and cooling systems Recent work emphasizes the integration of photovoltaic and biomass systems in renewable energy communities, as well as experimental validation of wave energy turbines. His publications highlight innovations in fan blade design, leakage modeling, and multi-objective optimization frameworks for sustainable energy infrastructure. Collaborations involve both academic institutions and industry partners, focusing on real-world applications such as tunnel ventilation systems and Mediterranean island energy solutions. Giovanni's contributions bridge theoretical modeling with practical engineering challenges in the transition to clean energy.

Berend IsermannView profile

Professor

• Thrombo-inflammation
• Molecular Biology
• Immunology
• +4 more

Professor Berend Isermann is a Professor of Laboratory Medicine at Leipzig University, affiliated with the Faculty of Medicine. He leads research into thrombo-inflammation mechanisms, focusing on molecular pathways linking coagulation and inflammation in diseases such as diabetes, kidney failure, and cardiovascular conditions. His work has earned prestigious recognition, including the ERC Advanced Grant (2024) for a project investigating molecular switches in thrombo-inflammation. Education: Studied medicine at Würzburg (Germany), Bristol (UK), and New Haven (USA). Completed specialist training in internal medicine, endocrinology, and laboratory medicine at Heidelberg University Hospital. Previously held professorships at the Universities of Magdeburg (2011–2019) and Leipzig (2019–present). Research interests center on understanding how thrombo-inflammation drives diseases like preeclampsia, chronic kidney disease, and complications from infections like COVID-19. Key projects include studying tissue factor’s role in inflammation-coagulation cross-talk, microglial-brain interactions in chronic kidney disease, and developing therapies targeting molecular switches. Scientific achievements include discovering tissue factor’s complex with inflammatory regulators, published in high-impact journals, and advancing methods to measure thrombo-inflammatory biomarkers. His interdisciplinary team at Leipzig Medical Center explores therapeutic strategies to control thrombo-inflammation across multiple organ systems. Awards: ERC Advanced Grant (2024) valued at €2.5 million for five years of research into molecular mechanisms of thrombo-inflammation. Grants and collaborations: ERC-funded project involves analyzing molecular switches in heart disease, obesity, and cancer models. His work bridges basic science and clinical translation, with a focus on kidney-brain interactions and diet-based interventions like the green-Mediterranean diet’s epigenetic effects. Labs/Teams: Leads a cross-departmental team at Leipzig University Medical Center integrating immunology, nephrology, and cardiology research. Collaborates on projects involving placental thrombo-inflammation, anticoagulant drug effects, and machine learning applications in diagnostics.

Kambiz RakhshanbabanariView profile

Lecturer

• Sustainable Building Design
• Energy Efficiency
• Machine Learning in Construction
• +4 more

Kambiz Rakhshanbabanari is a Lecturer in Construction Engineering and Management and Deputy Programme Leader for the Construction Engineering Management (CEM) BSc program. His research focuses on integrating computer vision, machine learning, and deep learning into sustainable building design and management, with an emphasis on energy efficiency, thermal performance, and circular economy frameworks. He holds a PhD and has over 15 years of industry experience in the Oil and Gas sector, specializing in mega-projects and applied data science. Key research interests include building damage detection via computer vision, predictive thermal performance modeling using IR thermography, and optimizing building operations through Bayesian Networks and Gaussian Processes. He advocates for the circular economy in construction through machine learning-driven resource optimization and explores renewable energy integration, HVAC systems, and whole-building design for sustainability. Ongoing projects include the Upgrading Britain’s Homes coalition (UKGBC Home Retrofit Investment Calculator) and the Demonstration of Energy Efficiency Potential (DEEP) initiative. His work also addresses barriers to circular economy adoption in construction, economic analyses of sustainable practices, and life cycle assessments (LCA/LCCA) to enhance environmental and economic outcomes. He contributes to conferences like the Sustainable Ecological Engineering Design for Society (SEEDS) and collaborates on technology evaluations such as the SMETER project.

• Computer Networks
• Distributed Computing
• Network Security
• +5 more

Minseok Kwon is a Professor and Associate Chair in the Department of Computer Science at Rochester Institute of Technology (RIT), part of the Golisano College of Computing and Information Sciences. He holds a Ph.D. and M.S. from Purdue University and a B.S. from Seoul National University. His research focuses on network systems and protocols (including programmable networks, P4 software testing, SDN, and in-network security) as well as machine learning systems (especially workload prediction). He is a member of the RIT Center for Cybersecurity. Professional Contributions Technical committee member for Computer Communications Journal and multiple IEEE conference program committees (e.g., HPCC 2021, ICC 2021-2021). Publicity Chair for ICNP 2008 and NPSec 2005. Research Highlights Recent work emphasizes programmable data planes for green data centers, security in wireless server networks, and efficient packet processing using P4. Notable projects include P4Kube (in-network Kubernetes load balancing) and CuVPP (filter-based routing optimization). His publications span topics from network latency measurement tutorials to cutting-edge SDN implementations. Awards & Recognition Recipient of the Best Paper Award at IEEE Cluster 2020 for CuVPP . Teaching & Advising Current courses include CSCI-261 (Algorithms), CSCI-788 (MS Project), and supervising graduate co-op placements. His advising focuses on advanced network systems and cloud computing.

Pascal BizarroView profile

Associate Professor

• Accounting Information Systems
• IT Auditing
• Information System Assurance & Control
• +7 more

Pascal Bizarro, Ph.D., is an Associate Professor in the Department of Accounting and Information Systems at Bowling Green State University (BGSU), part of the Schmidthorst College of Business. He holds a Ph.D. and M.Acc. from the University of Alabama and a B.B.A. in Commercial Engineering from HEC, Liège, Belgium. A Certified Information Systems Auditor (CISA), he specializes in IT Auditing, Accounting Information Systems, and emerging technologies like blockchain. He advises BGSU's Information System Audit and Control (ISAC) programs and serves as president of the Northwest Ohio ISACA Chapter and academic board member of the Northwest Ohio IIA Chapter. Dr. Bizarro's research focuses on cybersecurity, audit technology, data privacy, and blockchain applications in accounting. His work has been published in leading journals such as ISACA Journal , Internal Auditing , and The CPA Journal . Notable contributions include studies on phishing attacks, IoT security, AI in auditing, and XBRL implementation. He has received awards including the Schmidthorst Leadership Council Faculty Excellence Award (2015) and the Primrose Family Professorship (2013–present). His professional certifications and academic leadership roles reflect his expertise in bridging accounting practices with information systems innovation.

Atakan AralView profile

Academic

• Edge Computing
• Edge AI
• Internet of Things (IoT)
• +3 more

Atakan Aral is a Visiting Lecturer at the Department of Computing Science, Umeå University. His research focuses on Edge Computing, Edge AI, and the Internet of Things (IoT), with a particular emphasis on resource management and sustainable environmental monitoring. He is affiliated with the Autonomous Distributed Systems Lab and Green Distributed Computing Group, both part of the Wallenberg AI, Autonomous Systems and Software Program (WASP) initiative. His work spans theoretical frameworks and practical implementations in edge intelligence and distributed systems. Research Interests: Edge Computing architectures and workflows Neuromorphic and energy-efficient AI systems Federated learning and multi-cluster collaboration Sensor networks for environmental monitoring Optimization of resource allocation in distributed systems Key Publications Trends: Recent work emphasizes neuromorphic edge AI applications, hierarchical federated learning, and energy-efficient IoT deployments. His articles often intersect computing continuum concepts with real-world challenges like rural environmental monitoring and latency-critical systems. Scientific Awards: No awards explicitly listed in the provided text. Advising & Grants: No formal student advisees or grant details provided. However, he contributes to the De facto Center of Excellence in Autonomous Distributed Systems (2023–2029), indicating involvement in large-scale collaborative research. Labs & Teams: Member of the Autonomous Distributed Systems Lab (lead in distributed systems research) and Green Distributed Computing Group (focused on sustainability in computing).

Maarten van ReeuwijkView profile

Professor

• Urban Fluid Mechanics
• Atmospheric Sciences
• Turbulent Flows
• +10 more

Maarten van Reeuwijk is a Professor of Urban Fluid Mechanics at the Department of Civil and Environmental Engineering, Faculty of Engineering at Imperial College London. He serves as Director of Research and teaches at both undergraduate and postgraduate levels. His research focuses on transport processes in urban environments, atmospheric convection, and turbulent flows, with applications to air quality, urban microclimate, and sustainable infrastructure. He leads a multidisciplinary research group involving Aeronautical, Civil, and Mechanical Engineering experts. Education: MSc in Civil and Environmental Engineering (Fluid Mechanics), Delft University of Technology (1995-2002) PhD in Applied Physics (Turbulent Thermal Convection), Delft University of Technology (2002-2007) Research Interests: Urban fluid mechanics, turbulence dynamics, green infrastructure impacts, microplastics behavior, cloud physics, and large-eddy simulation (LES). His work integrates computational modeling (e.g., uDALES software) with experimental data to address environmental challenges like urban heat islands and pollution dispersion. Awards & Recognition: None explicitly stated in the text. Advising & Grants: Supervises PhD/postdoc researchers in diverse engineering and physics backgrounds. Active in securing grants for urban sustainability projects and computational fluid dynamics research. Labs/Teams: Heads the Urban Fluid Mechanics group and collaborates with Imperial's Grantham Institute and Artificial Intelligence Network. Develops the uDALES LES model for urban flow simulations.

Andy HopperView profile

Professor

• Ubiquitous Computing
• Sentient Computing
• Distributed Systems
• +3 more

Sir Andy Hopper is a Professor and Head of the Digital Technology Group within the Computer Laboratory at the University of Cambridge. He is a Fellow of Corpus Christi College, Cambridge. His research focuses on creating a world where everything is always connected in a personalized way and developing sentient computing systems that observe the real world to ensure planetary sustainability. His research interests span ubiquitous computing, sentient computing, distributed systems, computer networking, green computing, and provenance systems. He has pioneered work in location-aware systems, energy-efficient computing, and provenance in distributed environments. His vision extends computing to automatically adapt to real-world conditions for sustainable solutions. Recent publications indicate a strong focus on provenance systems, data reliability in cloud environments, and the integration of renewable energy in datacentre computing. His work often involves collaboration with researchers at the University of Cambridge and beyond, addressing challenges in virtualization, MapReduce, and resource accounting. Professor Hopper leads the Digital Technology Group, which is part of the Computer Laboratory. The group conducts cutting-edge research in networking, systems, and sustainable computing, contributing to both theoretical advances and practical applications in the field.