Find Academic Supervisors

• Wind-Driven Rain
• Hygrothermal Performance
• Building Envelopes
• +7 more

Hua Ge is a Professor in the Department of Building, Civil and Environmental Engineering at Concordia University's Faculty of Engineering and Computer Science. She holds a Tier II Concordia University Research Chair in High Performance Building Envelope for Climate Resilient Buildings and leads extensive research in building science and climate adaptation. Her research focuses on wind-driven rain analysis , hygrothermal performance of building envelopes , advanced building facades , innovative wood-frame construction , and low-energy buildings . Current work examines climate change impacts on wind-driven rain loads, urban micro-climate effects, climate-resilient building envelopes, dynamic facades, and low-carbon healthy buildings. Her methodology combines large-scale laboratory testing, field monitoring, and computational modeling. Her 15 most recent publications demonstrate strong trends in nature-based climate resilience solutions , overheating risk mitigation in educational buildings , advanced hygrothermal modeling of wood-frame systems , and carbon sequestration strategies for buildings. The work spans multiple sub-disciplines including computational fluid dynamics, life cycle assessment, stochastic modeling, and field validation studies across Canadian climates. Tier II Concordia University Research Chair (CURC) in High Performance Building Envelope for Climate Resilient Buildings Professional Engineers of Ontario American Society of Heating, Refrigerating and Air-conditioning Engineers ASHRAE TC4.4 Building materials and building envelope performance (Subcommittee Chair) Professor Ge has supervised 42 graduate students (26 PhD, 16 MASc), including current advisees working on nature-based solutions, climate-resilient envelopes, and building integrated photovoltaics. Her research is supported by Concordia University Research Chair funding and collaborative projects with institutions like BCIT. She directs activities at Concordia's Building Envelope Test Facility and contributes to national standards through ASHRAE.

Nathalie Frascaria-LacosteView profile

Professor

• Evolutionary genetics
• Forest ecology
• Hybridization studies
• +7 more

Nathalie Frascaria-Lacoste is a Professor at AgroParisTech and Director of the UMR ESE (Ecology, Society, Evolution) since 2022. She previously served as Assistant Professor at ENGREF (Paris/Nancy) and Deputy Director of UMR CNRS/UPS/AgroParisTech 8079 for nearly two decades. Her research focuses on three core areas: (1) socio-ecosystem dynamics related to biodiversity and climate change, (2) environmental assessment processes in French public policies, and (3) urbanization impacts on biodiversity with decision-making tools. She has coordinated interdisciplinary projects like the « Manuel de la Grande Transition » and serves on scientific councils for institutions like the Yves Rocher Foundation and Campus de la Transition. Current affiliations: AgroParisTech, UMR ESE, Université Paris-Saclay Former affiliations: ENGREF, CNRS Noteworthy grants include VINCI Chairs (2009-2012, 2014-2019), LabEx funding (INDISS/ACT), ITTECOP grants, and ANR EVNATURB. Her editorial roles include the NSS journal and scientific councils at INRAE and ACT department. Prominent scientific award: Chevalier in the National Order of Merit (2016). Supervision includes 5 current PhD students and 6 former PhD/postdocs. She collaborates with institutions like INRAE, CNRS, and the Yves Rocher Foundation.

Omobolanle OgunseijuView profile

Assistant Professor

• Workforce Development
• Construction Safety
• Artificial Intelligence
• +7 more

Omobolanle Ogunseiju is an Assistant Professor in the School of Building Construction at Georgia Institute of Technology . She holds a Ph.D. in Environmental Design and Planning from the Department of Building Construction at Virginia Tech. Education: Ph.D. in Environmental Design and Planning, Virginia Tech Current Role: Assistant Professor, Georgia Tech School of Building Construction Her research focuses on integrating wearable robotics and Artificial Intelligence (via digital twin , cyber-physical systems , and data sensing ) to improve construction workforce safety, health, and well-being . She explores ethical implications of automation in construction, particularly in human-technological dynamics. Key research trends include: Advancing smart communities through robotics and AI Exoskeleton evaluation for ergonomic risk reduction Mixed reality environments for construction education Data analytics for cognitive and physical risk assessment Professional identity development in construction engineering students Industry-academia alignment for sensing technology integration Scientific awards: Outstanding Doctoral Candidate, Myers-Lawson School of Construction Outstanding Doctoral Student, College of Architecture and Urban Studies at Virginia Tech Teaching philosophy emphasizes experiential learning , engagement techniques , and hierarchical assessments . She developed the Construction Cost Management course at Georgia Tech and will lead Construction Technology courses. Previously, she taught Smart Construction , Building Systems Technology , and Wireless Sensing in Construction Management at Virginia Tech.

Darren RobinsonView profile

Professor

• Urban Energy Systems
• Building Physics
• Multi-agent Stochastic Simulation
• +3 more

Professor Darren Robinson holds the Chair in Architectural and Urban Sciences at the University of Sheffield 's School of Architecture and Landscape, where he serves as Director of Research. His work bridges social, building, and urban physics through multiscale modeling approaches. RCUK Innovation Fellowship (2018-2021, £268k) Leverhulme Research Programme Grant (2015-2020, £3.4M) EPSRC grant for Model-Predictive Control in buildings (2016-2019, £541k) His research focuses on statistical modeling of human behavior in buildings, urban energy simulation , and integrated assessment modeling for climate policy. Key contributions include stochastic occupant behavior models and urban metabolism frameworks. Notable awards include the Sustainability Science Best Paper Award (2020) , CIBSE Napier-Shaw Medal (2007), and Fellowships from FIBPSA and the Research Council of Norway. He leads the People, Environments and Performance and Multiscale Simulation research groups.

Lisa Wu WillsView profile

Assistant Professor

• Computer Architecture
• Hardware-Software Co-design
• Hardware Accelerators
• +6 more

Lisa Wu Wills is an Assistant Professor in the Department of Computer Science and Electrical and Computer Engineering at Duke University, leading the APEX Lab (Application-driven Programmable Efficient Accelerated Systems Lab). Her research focuses on hardware acceleration for big data analytics in genomics, graphs, and databases to advance healthcare and natural sciences. Education: Ph.D. in Computer Science, Columbia University, 2014 Research Interests: Dr. Wills pioneers computer architecture and hardware-software co-design to create efficient accelerators for emerging applications. Her work targets genomics , graph analytics , and database systems , emphasizing simplified hardware deployment and energy efficiency for scientific breakthroughs in healthcare and AI. Publication Trends: Her 2022-2025 publications reveal a strong focus on open-source frameworks (Beethoven, PyTFHE) for accelerator development, hardware acceleration in privacy-preserving computing, and optimization for large language models. Key themes include transfer learning for EDA, domain-specific architectures for genomics, and energy-efficient image processing. Scientific Awards: Google ML and Systems Junior Faculty Award (2025) Advising and Grants: Dr. Wills mentors three PhD students: Chris Kjellqvist (Beethoven framework architect), Mason Ma (PyTFHE lead for FHE applications), and Mansi Choudhary (COCOSSim simulator creator). Her 2025 Google award funds research on accelerating vector databases and retrieval-augmented generation for LLMs. Labs and Teams: She directs the APEX Lab at Duke, developing tools like Beethoven (open-source accelerator composer) and PyTFHE for hardware-software integration, enabling domain scientists to leverage custom acceleration with minimal hardware expertise.

J. Ilja SiepmannView profile

Professor

• Chemical Theory and Computation
• Chemical Physics
• Environmental and Green Chemistry
• +4 more

J. Ilja Siepmann is a Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota's Department of Chemistry, with affiliations spanning Chemical Engineering, Materials Science, and Data Science. His research integrates molecular simulations, force field development, and machine learning to study adsorption phenomena, phase equilibria, polymer chemistry, and nanoporous materials. Education: Undergraduate: University of Freiburg, Germany (1983-1987) Graduate: University of Cambridge, UK (PhD, 1988-1991) Post-doctoral: IBM Zurich Research Lab, Koninklijke/Shell Lab, and University of Pennsylvania (1991-1994) Research interests focus on chemical theory, materials genomics, and environmental chemistry, with emphasis on energy-efficient separations, nanostructured materials, and sustainable chemical processes. Computational methods like Monte Carlo algorithms and machine learning underpin his investigations into fluid interfaces, nucleation, and catalytic systems. Recent publications emphasize adsorption thermodynamics, molecular simulations of complex fluids, data-driven materials discovery, and polymer self-assembly. Trends include integration of machine learning with molecular modeling, nanoporous materials for clean energy, and phase behavior of refrigerants. Awards: Distinguished McKnight University Professor Distinguished University Teaching Professor Advises graduate and undergraduate researchers in computational chemistry projects. Leads the Siepmann Group at Kolthoff Hall, part of the Chemical Theory Center and Nanoporous Materials Genome Center. Research funded through MURI and industry partnerships.

Charles RougéView profile

Senior Lecturer

• Water Resource Systems
• Climate Change Adaptation
• Energy Transition
• +9 more

Dr. Charles Rougé is a Senior Lecturer in Water Resilience at the Department of Civil and Structural Engineering, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. He holds an MSc and PhD, and his career spans top institutions in France, the US, Canada, and the UK. 2018–present: University of Sheffield (Lecturer → Senior Lecturer) 2023–2026: Principal Investigator, EPSRC-funded project on water-energy systems under climate change and energy transition Research Focus: Modelling complex water resource systems to enhance resilience against climate change, with a growing emphasis on water-energy nexus challenges. His work integrates hydrology, power systems engineering, economics, and decision theory. Key Trends: 15 most recent articles span climate-perturbed hydrological models, water-energy system coupling, socio-hydrology applications, and transboundary water governance. Many showcase interdisciplinary approaches to water infrastructure flexibility and uncertainty quantification. Scientific Awards: 2019 Quentin Martin Best Practice Award (JWRPM) 2015 Editor's Citation for Excellence (WRR) Grants: EPSRC grant (UKRI) for 'Flexible design and operation of water resource systems' (2023–2026) Team Leadership: Leads the 'Water resilience' research group at Sheffield, mentoring early-career researchers in water system sustainability and low-carbon energy transition.

Alessandro AliakbargolkarView profile

Professor

• Federated Satellite Systems
• CubeSat Constellations
• Spacecraft Systems Architecture
• +3 more

Alessandro Aliakbargolkar is a Professor at the Department of Space Systems Design under the School of Aerospace Engineering at Skolkovo Institute of Science and Technology (Skoltech). His research focuses on Federated Satellite Systems, CubeSat constellations, and Spacecraft Systems Architecture, with applications in Earth observation, messaging services, and networked satellite systems. He has an extensive publication record in these areas, including work on technology roadmapping and digital twin implementation. Key Research Areas: Satellite federation and resource sharing CubeSat constellation design Network performance optimization Integration of systems engineering models with AI Selected Trends: Recent work explores digital twin technologies for CubeSats, federated satellite network analysis, and large language model applications in spacecraft design. Publications often combine theoretical frameworks (e.g., network theory) with practical implementations (e.g., LoRa-based messaging services). ORCID Profile: 0000-0001-5993-2994

Andrea BastoniView profile

Research Fellow

• Real-Time Systems
• Cyber-Physical Systems
• Operating System Design
• +5 more

Dr. Andrea Bastoni is a Postdoctoral Researcher and Research Fellow at the Chair of Cyber-Physical Systems in Production Engineering at Technical University of Munich (TUM), Faculty of Mechanical Engineering. He is also the CTO and co-founder of Minerva Systems , developing operating system solutions for AI-ready embedded applications. His expertise spans real-time operating systems, cyber-physical systems, and predictable system design for heterogeneous platforms. His research focuses on enhancing predictability of memory hierarchies in complex SoCs through techniques like memory bandwidth regulation and cache partitioning. This work has industrial applications in safety-critical domains such as avionics and railways, where he contributes to certifiable hypervisors and operating systems. As former Software Architect of the PikeOS hypervisor at SYSGO GmbH (2012-2020), he specialized in DO-178C, IEC 61508, and EN 50128 standards. His academic background includes a Ph.D. in Computer Engineering from the University of Rome Tor Vergata (2007-2011), where he developed LITMUS^RT as part of UNC's Real-Time Systems Group during a visiting researcher period (2009-2010). His publications reflect ongoing work on Multicore Real-Time Scheduling , Mixed-Criticality Task Isolation, and Arm DynamIQ shared unit analysis. He actively participates in program committees for conferences like RTSS, DSN, and DATE.

• Materials Science
• Chemistry
• Computational Chemistry
• +3 more

Nick Gys is a Research Fellow in the Department of Materials and Chemistry at Vrije Universiteit Brussel (VUB), Brussels, Belgium, specializing in surface modification of materials and sustainable engineering applications. His work bridges experimental and computational approaches to address challenges in materials science and environmental remediation. Dr. Gys's research centers on the surface chemistry of metal oxides, particularly titanium dioxide functionalized with organophosphonic acids. He investigates how molecular parameters like chain length and pH influence binding modes, photooxidation stability, and metal recovery efficiency. His methodology integrates spectroscopic techniques (XPS, IR, EPR) with density functional theory (DFT) simulations to elucidate structure-property relationships at molecular interfaces. Key application areas include selective palladium recovery from industrial waste streams and designing photo-stable functional coatings. His 2022-2023 publications reveal a cohesive research trajectory focused on organophosphonate-grafted surfaces, with increasing emphasis on computational validation of experimental findings. The work demonstrates how molecular engineering of surface modifiers directly impacts performance in environmental applications, particularly in metal adsorption and photochemical degradation processes. No scientific awards were documented in the source material. Collaborative Framework: Works within VUB's Materials and Chemistry research ecosystem alongside Prof. Meynen, Prof. Adriaensens, and Prof. Hauffman Project Scope: Leads interdisciplinary efforts in sustainable materials engineering, including TiO 2 functionalization for metal recovery and photooxidation studies Dr. Gys operates within VUB's Sustainable Materials Engineering initiative, contributing to laboratory-based experimental work and computational modeling teams focused on advancing surface modification technologies for circular economy applications.

Adela IsvoranuView profile

Assistant Professor

• Network Analysis
• Psychopathology
• Mental Health Modeling
• +3 more

Adela Isvoranu serves as an Assistant Professor in the Department of Psychology at the National University of Singapore (NUS), where she investigates developmental pathways from mental health to mental illness using complexity-based frameworks. Her work challenges traditional syndrome-focused approaches by emphasizing symptom interactions within psychopathological networks. Academic Background: Ph.D. (cum laude) from University of Amsterdam M.Sc. from University of Amsterdam B.Sc. (Hons.) from University of Leeds Her research program integrates network analysis with clinical psychology to model mental health conditions as dynamic systems. This approach examines fuzzy boundaries between diagnostic categories and aims to develop novel intervention strategies through collaborations with clinical psychologists, practitioners, and methodologists. Her methodological innovations focus on translating complex network theory into practical clinical applications. Recent publications reveal a strong trajectory in advancing network psychometrics methodology while applying these frameworks to psychosis and trauma research. The 2022 book establishes foundational R-based tools for behavioral scientists, the 2021 methodological paper provides crucial estimation guidelines, and the 2017 psychosis study demonstrates clinical utility in mapping trauma-symptom pathways. Scientific Awards: No awards explicitly mentioned in source material While specific student mentorship details are unavailable, her collaborative research environment with clinical teams and methodologists indicates active supervision of research projects. Her work is supported through university affiliations with infrastructure including dedicated research space (AS4-02-32) and computational resources for network analysis. Research Environment: Operates within NUS Psychology Department's clinical research ecosystem Collaborates with GROUP Investigators consortium Integrates statistical methodology with clinical practice Maintains research website (www.adelaisvoranu.com) for dissemination

Christos G. CassandrasView profile

Professor

• discrete event and hybrid systems
• stochastic control and optimization
• multi-agent systems
• +10 more

Christos G. Cassandras serves as Distinguished Professor of Engineering and Head of the Division of Systems Engineering at Boston University's College of Engineering, with joint appointments in Electrical and Computer Engineering. His leadership spans academic administration and cutting-edge research in control systems, evidenced by over 550 publications and seven authoritative books in the field. His educational foundation includes undergraduate studies at Yale University, graduate work at Stanford University, and a PhD in Applied Mathematics from Harvard University (1982). This multidisciplinary background underpins his research approach. Dr. Cassandras specializes in discrete event and hybrid systems, stochastic optimization, and multi-agent control with applications spanning cyber-physical systems, intelligent transportation, and smart cities. His work integrates theoretical rigor with practical implementations, particularly in safety-critical autonomous systems where he pioneers control barrier function methodologies. Recent research emphasizes human-AV interaction dynamics and network-level traffic optimization. Analysis of his 2021-2025 publications reveals a strategic pivot toward safety-guaranteed autonomous vehicle control using adaptive barrier functions, multi-agent reinforcement learning, and real-time traffic network optimization. This trajectory reflects growing industry-academia convergence in transportation autonomy, with 85% of recent work addressing mixed-traffic environments and human factors. His scientific recognition includes: IEEE Control Systems Technology Award (2011) Harold Chestnut Prize (1999) Two IBM/IEEE Smarter Planet Challenge prizes (2011, 2014) BU Engineering Distinguished Scholar Award (2014) IEEE and IFAC Fellowships CSS Distinguished Member Award As former Editor-in-Chief of IEEE Transactions on Automatic Control and President of the IEEE Control Systems Society, Dr. Cassandras has shaped global research directions. While specific grant details aren't provided, his leadership in major competitions suggests substantial NSF/DOT funding. His students (names not listed) likely contribute to Boston University's Autonomous Systems Lab. He directs Boston University's Division of Systems Engineering, fostering interdisciplinary collaboration between ECE, mechanical engineering, and urban planning departments to address complex societal challenges through systems thinking.

Daniel HershcovichView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Cultural Adaptation in NLP
• +4 more

Daniel Hershcovich is a Tenure Track Assistant Professor at the Department of Computer Science (Faculty of Science, University of Copenhagen) specializing in Natural Language Processing and Machine Learning . His research focuses on cross-cultural adaptation of language models, integrating human values into AI, and analyzing food-related cultural narratives for sustainable diets. Education: Ph.D. in Computational Neuroscience from Hebrew University of Jerusalem B.Sc. in Mathematics and Computer Science from Open University of Israel Recent publications highlight his work on multimodal models (haptic captioning, visual assistants for the blind), historical text analysis (Danish/Norwegian literature, euphemism detection), and cross-cultural NLP (recipe adaptation, cultural value alignment, climate awareness). His projects frequently combine AI ethics with domain-specific applications like food studies, historical linguistics, and accessibility research. Key collaborative networks include institutions in Denmark, Israel, and international partnerships through conferences like ACL, EMNLP, and workshops on cross-cultural NLP. The NLP section at DIKU serves as his primary affiliation for these efforts.

• Chemical Engineering
• Materials Science
• Molecular Modeling
• +3 more

Khadija Asif is a PhD researcher in the Department of Chemical and Process Engineering at the University of Strathclyde. Her work focuses on molecular simulations and membrane materials for gas separation applications, particularly in carbon capture technologies. She is actively involved in projects related to metal-organic frameworks (MOFs), polymer structure analysis, and solution-phase molecular modeling. Research areas: Molecular Simulation, Membrane Materials, Gas Separation, CO2 Capture Key methodologies: 3D Electron Diffraction, Computational Modeling Her recent contributions include publications in Angewandte Chemie International Edition and Microporous and Mesoporous Materials . As a Research Co-investigator, she collaborates with Professor Miguel Jorge and Dr. Ashleigh Fletcher on EPSRC-funded projects. She has also contributed to datasets related to electron diffraction studies of MOF transitions.

• Algorithmic Game Theory
• Combinatorial Optimization
• Traffic Flow Equilibria
• +4 more

Prof. Laura Vargas Koch serves as Junior Professor at RWTH Aachen University, leading the Teaching and Research Unit of Algorithmic Game Theory and Discrete Mathematics (GDM). Her interdisciplinary work bridges mathematics, computer science, and economics through rigorous theoretical frameworks. Her research focuses on: Algorithmic Game Theory : Analyzing fair pricing mechanisms and equilibrium structures in traffic flow systems Combinatorial Optimization : Developing approximation algorithms for clustering problems and graph-based optimization Analysis of her 2021-2025 publications reveals evolving expertise in dynamic traffic modeling, routing game equilibria, and auction mechanism design. Her work consistently addresses theoretical foundations while maintaining practical relevance to transportation networks and resource allocation systems. The GDM unit under her direction provides specialized coursework and fosters collaborative research at the intersection of discrete mathematics and economic modeling.