Find Academic Supervisors

Geng GuoqingView profile

Assistant Professor

• Sustainable Construction Materials
• Material Durability
• Cement Chemistry
• +3 more

Dr. Geng Guoqing is an Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). He holds concurrent roles as East Asian Regional Convener for RILEM and board member of ACI-Singapore Chapter. His research focuses on sustainable construction materials, particularly durability, microstructural characterization, and waste material utilization. Geng earned his PhD from UC Berkeley (2017), followed by postdoctoral research at the Paul Scherrer Institute (Switzerland). He has authored over 50 papers and leads multiple projects funded by Singapore’s Ministry of Education, Energy Center, and National Research Foundation. Education: Bachelor of Engineering, Southeast University, China (2010) Master of Science, UC Berkeley, USA (2013) PhD, UC Berkeley, USA (2017) Research interests center on sustainable construction materials, multi-scale characterization, and material durability . Key themes include recycling low-grade materials, mitigating degradation in concrete, and developing high-performance binders like LC3. His work employs advanced techniques like molecular modeling, X-ray diffraction, and NMR. Recent articles explore hydration kinetics, CSH matrix mechanics, and waste clay applications. Awards include the 2023 RILEM Medal and multiple teaching excellence recognitions. Current projects address CO 2 absorption, sustainable cement blends, and resilient façade materials. Professional service includes editorial roles at Cleaner Materials and Frontiers in Materials , plus organizing the 2022 EASEC Conference. His lab focuses on bridging microstructural insights with macro-scale material performance.

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +3 more

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

Waldemar KolanusView profile

Professor

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +4 more

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

• Environmental Impact Assessment
• Life Cycle Assessment (LCA)
• Industrial Ecology
• +4 more

Prof. Dr. Stefanie Hellweg serves as a Full Professor for Ecological Systems Design at the ETH Zürich , Department of Civil, Environmental and Geomatic Engineering. She is Deputy Head of the Institute of Environmental Engineering and leads groundbreaking research at the intersection of industrial ecology, life cycle assessment, and circular economy systems. PhD in Environmental Engineering (ETH Zürich, 2000) Industrial Engineering Degree (Karlsruhe University, 1996) Her research develops advanced methodologies for environmental impact assessment of products and technologies, focusing on: Life Cycle Assessment (LCA) with correlated uncertainty modeling Circular economy implementation in chemical and energy sectors Industrial symbiosis optimization for heat and nutrient flows Urban wastewater systems redesign for resource recovery Chemical pollution analysis in plastic materials Key publication trends reveal expertise in: Hybrid wastewater treatment systems Energy-efficient greenhouse cultivation Exergy analysis for sustainability metrics Machine learning applications in environmental modeling Policy-relevant industrial ecology studies She actively participates in global sustainability initiatives as: President of the International Society of Industrial Ecology (ISIE) Member of UN Environment's International Resource Panel Editorial board member for leading environmental journals

Xianguo LiView profile

Professor

• Fuel Cells
• Energy Systems
• Thermal Fluid Science
• +7 more

Xianguo Li is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Canada. He holds prestigious fellowships including Fellow of the Canadian Academy of Engineering (FCAE), Fellow of the Engineering Institute of Canada (FEIC), and Fellow of the Canadian Society for Mechanical Engineering (CSME). His primary research focuses on thermal fluid science, energy systems, and fuel cell technology, with a strong emphasis on green energy solutions. **Education**: 1989: Doctorate in Mechanical Engineering, Northwestern University, USA 1986: Master's in Mechanical Engineering, Northwestern University, USA 1982: Bachelor's in Thermal Energy Engineering, Tianjin University, China **Research Interests**: His work spans fuel cells, spray dynamics, fluid dynamics, heat and mass transfer, power generation, and renewable energy systems. He leads the Fuel Cell and Green Energy Lab, advancing innovations in energy storage, propulsion systems, and sustainable technologies. **Awards**: Outstanding Performance Award (University of Waterloo, 2007) Frank Walk Service Award (2001) Best Paper Award (2003) Recipient of the Simpson Fellowship (1988) **Advising & Grants**: He supervises graduate students and research associates in projects funded by NSERC, Auto 21, CFI, and industry partners. His lab collaborates on fuel cell durability, thermal management, and green energy policy initiatives. **Editorial Roles**: Founding Editor-in-Chief of the International Journal of Green Energy , Field Chief Editor of Frontiers in Thermal Engineering , and serves on dozens of editorial boards. He chairs major conferences like the International Green Energy Conference and the World Fuel Cell Conference series.

Qingguo LiView profile

Professor

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +4 more

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Political Theory
• Political Philosophy
• Cultural Evolution
• +3 more

Dr. hab. Piotr Łukomski is an Associate Professor at the Department of Political Theory, Institute of Political Science, University of Wrocław. His academic career focuses on the intersection of political theory, philosophy, and cultural analysis, with notable contributions to Hannah Arendt's philosophy, game theory applications in politics, and the role of imagination in political thought. Department: Political Theory Email: piotr.lukomski@uwr.edu.pl ORCID: 0000-0002-5307-616X Research Interests: His work spans conceptual metaphors in political theory, decision-making under hazardous conditions, cultural evolution of tyranny, and the aestheticization of politics. He examines how digital technologies (like VR) reshape political identity and how Arendtian frameworks apply to modern governance. Teaching: Coordinates social consulting labs and teaches decision-making processes in political contexts, with a focus on practical applications in hazardous conditions. Publications: Recent articles analyze VR-era political identity, Hannah Arendt's relevance to modern democracy, and the integration of problem-solving strategies in political thought.

Aleksander KubicaView profile

Assistant Professor

• Quantum Information Science
• Quantum Error Correction
• Fault Tolerance
• +3 more

Aleksander Kubica is an Assistant Professor of Applied Physics at Yale University, specializing in quantum information science with a focus on quantum error correction and fault tolerance. His research bridges quantum many-body physics and topological codes, particularly exploring applications in superconducting circuits and quantum architectures. He holds a Ph.D. from the California Institute of Technology and a B.S. from the University of Warsaw. Dr. Kubica's work addresses foundational challenges in scalable quantum computing, including optimizing error correction protocols, developing fault-tolerant architectures, and analyzing the intersection of quantum metrology with error mitigation. Recent contributions include advancements in erasure qubits, correlated noise decoding, and topological code adaptations. His research often involves interdisciplinary approaches, combining theoretical physics with algorithm design and hardware-efficient solutions. Key themes in his publications include improving error correction thresholds, designing low-overhead quantum architectures, and exploring novel decoding strategies for topological codes. While no specific awards are listed, his active research trajectory and contributions to quantum computing indicate significant scholarly engagement in the field.

Achim MengesView profile

Research Professor

• Computational Design
• Robotic Construction
• Biomimetic Architecture
• +5 more

Achim Menges is a Research Professor and Max Planck Fellow at the University of Stuttgart, where he directs the Institute for Computational Design and Construction (ICD). His work bridges architecture, engineering, and computational design, with a focus on developing innovative construction methods and materials. Menges leads the Cluster of Excellence IntCDC: Integrative Computational Design and Construction for Architecture, a major research initiative funded by the German Research Foundation. Menges' research centers on computational design, robotic construction, and biomimetic architecture, with particular emphasis on timber construction, adaptive building systems, and digital fabrication. His work integrates principles from bionics to create responsive, sustainable building systems that adapt to environmental conditions. Notable projects include the BUGA Wood Pavilion (2019), Urbach Tower, BUGA Fibre Pavilion, and the livMatS Biomimetic Shell, all demonstrating his commitment to material innovation and sustainable construction practices. His recent publications reveal a consistent focus on advancing timber construction techniques, developing bio-inspired responsive systems, and implementing robotic fabrication processes. The research shows a clear trajectory toward more sustainable, resource-efficient building methods that integrate digital design with physical construction processes. Menges' work increasingly addresses multi-story timber systems and circular construction principles. Bauwende Prize der Universität Stuttgart 2025 Menges leads numerous research initiatives through the Cluster of Excellence IntCDC, securing significant funding for projects exploring computational design and robotic construction. His work involves extensive collaboration with industry partners and interdisciplinary research teams. Menges directs the ICD research laboratory, which focuses on developing novel computational design methods, robotic fabrication processes, and innovative material systems for architecture. The institute maintains strong partnerships with industry leaders in construction technology and materials science, facilitating the translation of research into practical applications.

• Machine Learning
• Reinforcement Learning
• Robotics
• +3 more

Georg Martius is a Full Professor in the Department of Computer Science at the University of Tübingen's Faculty of Science and a Max Planck Research Group Leader at the MPI for Intelligent Systems. Since April 2023, he has been a core member of the DFG-funded Cluster of Excellence 'Machine Learning: New Perspectives for Science,' which received extended funding through 2032 for its mission to integrate machine learning into fundamental scientific discovery processes. His academic foundation includes a PhD from the University of Göttingen and Bernstein Center for Computational Neuroscience (2005), a Diploma in Computer Science from the University of Leipzig (2003), and a visiting research period at the University of Edinburgh's Division of Informatics. Postdoctoral positions followed at the Max Planck Institutes for Dynamics and Self-Organization (Göttingen, 2009), Mathematics in the Sciences (Leipzig, 2010), and IST Austria (2015). Professor Martius's research pioneers the intersection of reinforcement learning, robotics, and tactile sensing, with emphasis on developing autonomous systems capable of natural locomotion, dexterous manipulation, and physical-world understanding. His work bridges theoretical machine learning with practical hardware applications, particularly in creating differentiable simulators, superresolution tactile sensors, and biologically plausible learning frameworks for robotic control. Analysis of his 2024-2025 publications reveals dominant trends in offline reinforcement learning (especially goal-conditioned and diversity-maximization techniques), object-centric representation learning for video understanding, and tactile sensing innovations. A strong thread connects foundation models to world model construction, while his work on differentiable physics engines enables precise collision handling and contact dynamics for real-world robotic control. His leadership roles include directing the Distributed Intelligence research team at Tübingen and contributing to major collaborative initiatives like the Real Robot Challenge and Myochallenge 2022. The Cluster of Excellence appointment represents recognition of his contributions to transforming scientific methodology through machine learning, particularly in automating hypothesis generation and experimental design. Current projects focus on integrating large-scale machine learning with embodied intelligence, advancing tactile perception systems like the Minsight vision-based sensor, and developing neuroplasticity-inspired approaches for robust out-of-distribution detection. His work directly impacts fields requiring physical interaction intelligence, from autonomous navigation to medical robotics, with emphasis on sample-efficient learning from limited real-world data.

Mazdak Nik-BakhtView profile

Associate Professor

• Construction Engineering & Management
• Infrastructure Management
• Smart Infrastructure
• +10 more

Mazdak Nik-Bakht is an Associate Professor at Concordia University's School of Building, Civil, and Environmental Engineering. His work bridges construction engineering with digital innovation, focusing on smart infrastructure and sustainable development. PhD, Construction Engineering & Mgmt., University of Toronto PhD, Structural Engineering, Iran University of Science & Technology MASc & BASc, Structural and Civil Engineering, Iran University of Science & Technology His research integrates Artificial Intelligence and Social Network Analysis into construction management systems. Key areas include: Smart infrastructure and urban computing Deconstruction and circular economy principles Building Information Modeling (BIM) and digital twinning Process mining in Architecture, Engineering, and Construction (AEC) industry Decision models in construction project management Semantic computing and computational linguistics applications Recent publications show a focus on BIM analytics , urban resilience , and social media's role in infrastructure planning . Papers often combine AI and network theory to solve complex construction challenges. 2015 Outstanding paper award - Built Environment Project and Asset Management journal He teaches courses on: Big Data Analytics for Smart City Infrastructure Building Information Modeling (BIM) for Construction Building Economics Project Cost Estimating

Sonia PetroneView profile

Professor

• Bayesian Statistics
• Predictive Modeling
• Bayesian Nonparametrics
• +1 more

Dr. Sonia Petrone is a Full Professor of Statistics at Bocconi University's Department of Decision Sciences. She earned her PhD in Statistics from Bocconi University and has held academic positions at the University of Pavia and University of Insubria before joining Bocconi. Her extensive international experience includes research visits across North America, Latin America, Europe, India, and Russia. Her research specializes in Bayesian statistics, with contributions to foundational theory, predictive modeling, Bayesian nonparametrics, and stochastic processes. She currently directs the Bocconi Summer School in Advanced Statistics and Probability and previously led the PhD program in Statistics (2011-2018). Her research portfolio demonstrates consistent focus on Bayesian nonparametric methods, predictive modeling, and applications to complex data structures. Recent work explores urn processes, time series analysis, and network modeling using innovative Bayesian approaches. Awards & Honors: IMS Medallion Lecture Award (2018) ISBA Foundational Lecture Award (2016) Fellow of International Society for Bayesian Analysis Fellow of Institute of Mathematical Statistics Fellow of European Laboratory for Intelligent Systems Fellow of Bocconi Institute of Data Science She has held editorial leadership positions as Editor of Statistical Science (2020-2022) and Bayesian Analysis (2010-2014), and served as President of the International Society for Bayesian Analysis (2014).

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +9 more

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

Ian EwartView profile

Associate Professor

• Anthropology of Technology
• Built Environment
• Ethnographic Research
• +7 more

Ian Ewart is an Associate Professor at the University of Reading's School of the Built Environment, serving as Head of Construction and Engineering Management and Research Group Lead for Organisation, People and Technology. He chairs the Research Ethics Committee since 2016 and supervises undergraduate/postgraduate dissertations. His academic journey spans engineering and anthropology: DPhil Social and Cultural Anthropology, University of Oxford, St Hugh's College (2007-2012) MSc Material Anthropology and Museum Ethnography, University of Oxford, St Hugh's College (2006-2007) BA (Hons) Archaeology and Anthropology, University of Oxford, Harris Manchester College (2003-2006) Diploma in Management Studies, University of the West of England (1990-1994) BEng (Hons) Mechanical Engineering, Staffordshire University (1983-1987) Ewart's research integrates ethnographic methods with digital technology studies, examining human-technology interactions in construction and domestic settings. His work bridges engineering practice and social anthropology, focusing on skill transmission, sustainable design, and multisensory experiences in virtual environments. Publications from 2025-2013 reveal a dominant trajectory in digital twins for socio-ecological sustainability, VR-based occupant behavior prediction, and HBIM for heritage conservation. The corpus demonstrates consistent cross-disciplinary innovation, merging archaeological reconstructions with healthcare applications while maintaining anthropological rigor. Key recognition: ESRC Future Research Leader fellowship (2013) for Designing Healthy Homes project He supervises PhD candidates like Afolabi Dania (Nigerian sustainable construction) and Joanna Hull (Heritage BIM), leveraging ESRC funding for ethnography-VR health studies. His grants emphasize participatory design and real-world impact assessment in built environments. Leaders the Organisation, People and Technology research group, developing multisensory Roman town reconstructions with sound/smell integration to advance archaeological and architectural experience modeling.

Lisa LibbyView profile

Professor

• Social Psychology
• Cognitive Psychology
• Decision-Making
• +5 more

Dr. Lisa Libby is a Professor of Social Psychology at The Ohio State University, affiliated with the Department of Psychology. Her research focuses on how subjective perceptions shape cognition, emotion, and behavior, with a particular emphasis on mental imagery and visual perspective. She explores how manipulating these processes can improve decision-making, emotional well-being, and social harmony. Libby holds a PhD from Cornell University (2003), an MA from Simmons College (1997), and a BA from Williams College (1996). Education: PhD in Psychology, Cornell University, 2003 MA in Psychology, Simmons College, 1997 BA in Psychology, Williams College, 1996 Her research investigates how visual perspective in mental imagery influences self-perception, memory, and goal pursuit. Key themes include the interplay between imagery, identity, and decision-making, with applications to personal and interpersonal contexts. Libby's work highlights how shifting perspectives (e.g., first- vs. third-person imagery) can alter emotional responses, reduce bias in self-assessment, and enhance adaptive behaviors. Her advising contributions include mentoring students like Valenti G. and Shaeffer E.M., who have co-authored influential studies on imagery perspective and memory. Libby's lab at Ohio State University continues to advance understanding of how subjective experiences are constructed and manipulated through psychological mechanisms. Her research spans cognitive and social psychology, addressing topics such as autobiographical memory, regulatory fit, and the psychological effects of motion on conflict resolution. She has contributed to major academic volumes, including The Oxford Handbook of Social Cognition and Advances in Experimental Social Psychology .