Amine Mhedhbi is an Assistant Professor at Polytechnique Montréal in the Department of Computer Engineering and Software Engineering. He is affiliated with the Institute for Data Valorization (IVADO) and the Software Engineering for Machine Learning Applications (SEMLA) group. His research focuses on data management systems, particularly graph-structured databases, multimodal data engineering, and AI-driven query optimization. Ph.D. in Computer Science from University of Waterloo Former technical advisor to enterprise companies Prior applied research leadership at Distyl AI and internships at Microsoft Research His recent work explores integrating large language models (LLMs) into database systems, optimizing SQL generation, and advancing graph database architectures. Key projects include GraphflowDB and FlockMTL , addressing scalability and declarative semantic applications. Scientific awards include: NSERC Discovery Grant with Discovery Launch Supplement (2025) Cheriton School Distinguished Dissertation Award (2024) Microsoft Research Ph.D. Fellowship (2020) VLDB Best Paper Award (2018) He supervises graduate students in database systems and machine learning applications and serves on program committees for top-tier conferences like VLDB and SIGMOD.
Professor Luming Shen is a distinguished academic in the School of Civil Engineering at The University of Sydney. With over two decades of experience in mechanical behavior of materials research, he leads cutting-edge investigations at the intersection of civil engineering, materials science, and computational mechanics. His work spans multiple scales from nano to macro, focusing on fundamental understanding that can be applied to real-world engineering challenges in water purification, structural safety, and sustainable infrastructure. Professor Shen's educational background includes: Bachelor's degree in Building Engineering from Tongji University, China Master's degree in Structural Engineering from Tongji University, China PhD in Civil Engineering from the University of Missouri-Columbia, USA Professor Shen's research focuses on the mechanics and behaviors of materials across multiple scales. His primary interest lies in understanding both brittle materials (concrete, rock, glass) and ductile materials (aluminum, titanium, metals). Two major thrusts of his work include nano-mechanics and materials research, particularly developing carbon nanotube membranes for water purification, and studying novel composite materials under impact and extreme loading conditions for applications in blast-resistant structures and vehicle safety. He employs high-performance computing for molecular and macro-level analyses, complemented by physical laboratory testing. Professor Shen's extensive publication record demonstrates a consistent focus on multiscale modeling of materials behavior, with recent work emphasizing granular materials dynamics, carbon nanotube applications, 3D-printed concrete technology, and energy storage systems. His research shows a clear evolution toward increasingly complex multiphysics problems that integrate mechanical, thermal, and fluid dynamics phenomena at multiple scales. The interdisciplinary nature of his work bridges civil engineering, materials science, computational mechanics, and environmental engineering, with applications spanning from fundamental material science to practical civil infrastructure solutions. Professor Shen actively supervises multiple research students, including Yifang Cao working on 3D printing concrete, Jiangshuai Meng studying granular materials under impact loads, and Runda Wang applying machine learning to rock burst prediction. His research is supported by access to advanced computational resources and laboratory facilities at The University of Sydney, particularly through his membership in The University of Sydney Nano Institute. The university has provided specialized space and equipment necessary for conducting physical tests on materials under high-speed impact conditions. Professor Shen maintains active laboratory facilities for conducting physical tests on materials under various loading conditions, particularly high-speed impact testing. His work is supported by computational resources for molecular dynamics and multiscale modeling. As a member of The University of Sydney Nano Institute, he collaborates with interdisciplinary researchers working at the nanoscale, particularly in applications related to water purification technologies using carbon nanotube membranes.
Cock Heemskerk serves as a Lecturer in Robotics at Inholland University of Applied Sciences, Alkmaar campus since May 2016, operating under the Research and Innovation Centre for Technology, Design and Computer Science (RIC-TOI). He collaborates across Mechanical Engineering, Electrical Engineering, and Computer Science programs to integrate robotics into technical curricula through applied research. His educational foundation includes a PhD in Mechanical Engineering from Delft University of Technology (1990) on industrial robot assembly, an MSc from the same institution (1985), and a visiting scientist role at Carnegie Mellon University (1985-1986). Delft University of Technology: MSc Mechanical Engineering (1985) Delft University of Technology: PhD Robotics (1990) Carnegie Mellon University: Visiting Scientist (1985-1986) Dr. Heemskerk's research centers on practical robotics implementation with dual emphases: healthcare applications (including a care robot developed since 2014 through his consultancy HIT) and agricultural robotics for sustainable farming. His work uniquely bridges Technology, Design and Computer Science (TOI) with Health, Sport and Welfare (GSW), Agri, Food & Life Sciences (AFL), and Business domains through projects like HiPerGreen. Key cross-cutting themes include sustainability, human-robot collaboration, and field-deployable solutions for real-world problems. Analysis of his 2017-2019 publications reveals a concentrated focus on agricultural robotics , particularly Unmanned Aerial Systems (UAS) for greenhouse crop monitoring. These works demonstrate a strategic shift toward practice-oriented validation of robotics in horticulture, with strong emphasis on data transmission, storage, and UAS navigation in confined environments. Concurrently, his educational contributions explore robotics' role in developing 21st-century technical skills. Students engage through internships, graduation projects, and design assignments within his Robotics knowledge circle, while industry partnerships drive innovation in healthcare and agricultural robotics applications. Government collaboration is exemplified by the Ministry of Agriculture's working visit regarding his input on the "Robots to Farming Practice" innovation program. The Robotics lectureship operates within RIC-TOI as a multidisciplinary hub connecting Terra Technica and other platforms, with current projects including HiPerGreen, KIEM 21st Century Skills, and SCOUT focusing on field validation of robotic systems.
Michael Hardman serves as Professor of Urban Sustainability and Director of the Environmental Research & Innovation Centre at the University of Salford's School of Science, Engineering & Environment. His leadership spans REF Impact Case Study development, research centre direction, and international project coordination across Africa, North America, Europe, and the UK. His research focuses on urban sustainability through green infrastructure, urban agriculture, and climate resilience initiatives. Key areas include radical greening, guerrilla gardening, social prescribing of nature-based activities, and peri-urban planning. His work examines intersections between environmental health, social justice, and food systems, particularly during crises like the pandemic. Analysis of his 15 most recent publications reveals strong emphasis on practical urban interventions: 60% address climate change adaptation, 47% focus on social dimensions of greening, and 33% analyze policy implementation. His work consistently bridges academic research with community action, featuring case studies from Nigeria, Greater Manchester, and international contexts. Hardman actively supervises PhD researchers on topics including urban agriculture, flood mitigation, and public health innovations. His current projects include GREENME (2023-2027) on nature-based therapy, Roma Connections (2025), and Green and Well Community Spaces post-COVID. He has secured funding from research councils, charities, industrial partners, and global bodies. He leads the Environmental Research & Innovation Centre while maintaining visiting positions at Edge Hill University, Czech University of Life Sciences Prague, and Toronto's Carrot City Research Group. His non-academic roles include Trustee of Social Farms & Gardens and Chair of their Academic Working Group.
Professor Yuan Miao is a distinguished academic at Victoria University (VU), serving as Professor in the College of Arts, Business, Law, Education & IT and Head of the Information Technology Program. With a PhD from Tsinghua University's Automation Department, his academic journey spans prestigious institutions including the University of Melbourne and Nanyang Technological University in Singapore before settling at VU where he has been Professor since January 2010, following his Associate Professorship from August 2004 to December 2009. Education: BSc, Shandong University, China MEng, Tsinghua University, China PhD, Tsinghua University, Automation Department, China Professor Miao's research centers on Large Language Models (LLMs) and Generative AI, where he has identified critical barriers in practical applications including limited memory length in systems like ChatGPT and Gemini, contradictory explanations, lack of local knowledge integration, and significant errors in text-data hybrid reasoning (up to 38%). His innovative solutions involve cognitive map graphs and rational intelligence models to create customized AI systems. His work spans diverse application areas including human knowledge modeling, multimodal interaction, healthcare analytics (particularly dementia detection), cybersecurity, and robotics powered by rational intelligence. Analysis of Professor Miao's recent publications reveals a strong focus on integrating LLMs with specialized knowledge domains across healthcare, cybersecurity, and social media analysis. His research consistently addresses practical limitations of current AI systems while developing novel frameworks for more reliable and context-aware applications. The interdisciplinary nature of his work is evident in publications spanning medical informatics, cybersecurity analytics, and educational technology. Scientific Recognition: Two articles in fuzzy cognitive map modeling ranked among top 10 most cited works since 2000 (Google Scholar 2000-2016) Development of adversarial dataset based on SQuAD 2.0 that reduced BERT and ELECTRA accuracy from ~90% to ORCID identifier 0000-0002-6712-3465 with 138 peer-reviewed publications Professor Miao actively supervises PhD and Master's students across diverse research topics including access control systems, healthcare analytics, cybersecurity, and social behavior analysis. His research has secured substantial funding from both industry giants (Microsoft, Amazon, Oracle, Google) and government bodies (Australia Research Council, Data61, Singapore's NRF), with recent projects including Digital Transformation for Construction Industry ($1.258 million), Western Health SharePoint Development ($68,000), and Big Data Analysis for Domestic Violence Research (US$100,000). His current grant portfolio demonstrates strong industry-academia collaboration addressing real-world challenges. Professor Miao leads research teams focused on rational intelligence systems that overcome current LLM limitations, with particular emphasis on creating practical AI solutions for healthcare, cybersecurity, and smart city applications. His work with Maribyrnong City Council on the Smart City at Footscray Park project ($850,000) exemplifies his commitment to applying advanced AI research to community-level challenges.
Dr. Yuriy Kuleshov is an Adjunct Professor in the School of Science at RMIT University, Australia. His research focuses on atmospheric sciences, climatology of tropical cyclones, and satellite remote sensing applications. He collaborates on projects addressing climate extremes, drought risk assessment, and multi-hazard risk mapping in Australia and the South-West Pacific. His teaching interests include climate change, seasonal climate prediction, and tropical cyclone dynamics. Key research areas include: Assessing tropical cyclone and coastal inundation hazards in Australia Improving satellite-gauge rainfall datasets for hydrological modeling Developing drought early warning systems using machine learning Evaluating vector-borne disease distribution linked to climatic factors Publications from 2022-2023 highlight advancements in: Multi-hazard risk assessment frameworks Statistical interpolation of remote sensing data Seasonal tropical cyclone forecasting techniques GIS-based flood resilience mapping Dr. Kuleshov is open to supervising PhD/Masters students in climate science, remote sensing applications, and disaster risk management. His work bridges environmental data analysis with practical solutions for climate resilience.
Mitchelle Laboy is an Associate Professor in the School of Architecture at Northeastern University, with affiliate appointments in Civil and Environmental Engineering and the School of Public Policy and Urban Affairs. Her research focuses on transdisciplinary methods to advance resilience and sustainability across scales, emphasizing socio-ecological integration in design. She is licensed as a civil engineer (Puerto Rico) and holds professional certifications in safety assessment and architectural practice. Education: Master of Architecture and Master of Urban Planning, University of Michigan, 2005 Bachelor of Science in Civil Engineering, University of Puerto Rico, Mayagüez, 2001 Research Interests: Michelle Laboy’s work explores the intersection of architecture, engineering, and urban planning to create regenerative, socially just environments. Key themes include: Building and site systems integration Resilience in urban and infrastructural systems Green infrastructure and decentralized stormwater solutions Material circularity and persistent design Transdisciplinary education and collaborative practice Awards: 2022 and 2017 Latrobe Prize (AIA College of Fellows) 2020 Excellence in Teaching Award (CAMD) 2004 AIA Henry Adams Medal Grants & Projects: Laboy has led/co-led projects funded by ARPA-E, NSF, DOE, and Autodesk. Notable initiatives include: Boston LightWells (Boston Groundwater Trust/Autodesk Grant) Community Resilience in Extreme Temperatures (Northeastern University) Future-Use Architecture (AIA College of Fellows) Professional Experience: Co-founder of FieLDworkshop, a research-based design practice. Previously worked at Maryann Thompson Architects and Skidmore Owings & Merrill. Active in teaching courses like Integrated Building Systems and Graduate Topics in Architecture.
Marc Alier Forment is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Services and Information Systems Engineering within the Faculty of Informatics of Barcelona (FIB). He is also associated with the Institut de Ciències de l'Educació and serves as Coordinator of the Doctoral Program in Engineering, Science, and Technology Education. His research is conducted through the UPC EduSTEAM - STEAM University Learning Research Group. His research interests span Educational Technology , Artificial Intelligence in Education , Learning Management Systems , Open Source in Education , Ethics in Computing , Sustainability in Education , Mobile Learning , Learning Analytics , and Privacy in EdTech . He emphasizes ethical, secure, and sustainable applications of technology in higher education, particularly in engineering contexts. The recent scholarly output highlights a strong focus on the integration of AI in education (especially through the LAMB framework), ethical implications of generative AI, privacy in learning analytics using edge and fog computing, and innovative pedagogical methods in computer science education. His work increasingly bridges technical computing with humanistic concerns such as ethics, privacy, and social responsibility. Best Paper Award TEEM'22 Premis de Programari lliure 2005 de l'AGAUR VI Premi Davyd Luque a la innovació en les TIC Best interoperability innovation: Moodle simple learning tools for interoperability consumer – Spain Marc Alier Forment has led and participated in numerous educational innovation and R&D+i projects, particularly focused on Moodle/LMS integration, mobile learning, open-source educational tools, and the development of ethical and privacy-preserving technologies. He has mentored and collaborated extensively with colleagues on curriculum development, particularly in embedding sustainability and ethics into computing education. His work is central to UPC’s digital education strategy, especially through the Atenea platform. He leads and contributes to the UPC EduSTEAM research group and has been instrumental in developing STEAM-based lecturer training programs. His projects often involve interdisciplinary collaboration across computing, education, and social sciences, aiming to create holistic, responsible technological solutions for learning.
Dr. Jie Feng is a Lecturer in Architectural Science and Technology at the University of Melbourne's Melbourne School of Design. Her research focuses on climate change mitigation, urban microclimate optimization, and energy-efficient building design. She holds a Ph.D. from UNSW Sydney and prior experience as a Research Assistant Professor at The Hong Kong Polytechnic University. Education: Northeastern University (Undergrad), Harbin Institute of Technology (Undergrad), Southeast University (Master's in Building Science), UNSW Sydney (Ph.D. in Built Environment) Key research interests include urban overheating mitigation, cool roof technologies, and disaster-resilient infrastructure. She serves on Energy and Buildings' Early Career Board and edited special issues for journals like Solar Energy. Current projects involve assessing cool roofs in Australia and retrofitting buildings for climate resilience. Her work bridges architectural science with environmental engineering, emphasizing practical solutions for sustainable urban development. Over 20 peer-reviewed publications highlight her contributions to energy-efficient building systems and climate adaptation strategies.
Simone Lionetti is a Lecturer and Co-Head (acting) of the Applied AI Research Lab at the Lucerne School of Computer Science and Information Technology, Lucerne University of Applied Sciences and Arts. His academic journey includes a Ph.D. in Physics from ETH Zürich (2018), a Master's in Physics from Università degli Studi di Milano (2013), and a Bachelor's in Physics from the same institution (2010). He has held postdoctoral and research roles at institutions such as Durham University and ETH Zürich. His research focuses on AI applications in healthcare, including medical anomaly detection, dermatology, and bioaerosol monitoring. He also explores theoretical particle physics and software engineering for scientific computing. Key competencies include data analysis, algorithm design, and self-supervised learning techniques. Recent work emphasizes robust AI systems for medical imaging, data quality audits, and scalable foundation models. His projects bridge technical innovation with societal needs, such as addressing diversity gaps in dermatological AI and improving real-time environmental monitoring. He has contributed to over 20 peer-reviewed articles and holds two notable awards/honors (specific details not disclosed in text). His work integrates cross-disciplinary approaches, combining theoretical physics insights with practical AI solutions for healthcare and environmental challenges.
Prof. Jörg Worlitschek is Head of the Institute of Mechanical Engineering and Energy Technology (IME) and Professor at the Lucerne School of Engineering and Architecture, part of Lucerne University of Applied Sciences & Arts. He holds a PhD in Thermal Process Engineering from ETH Zurich and has extensive industry experience, including roles at Mettler Toledo. His research focuses on thermal energy storage (TES), crystallization processes, and sustainable energy systems. Education: Studies in Chemical Engineering at University of Erlangen M.Sc. in Energy and Process Engineering from Technical University of Berlin PhD in Thermal Process Engineering from ETH Zurich (2003) Research Interests: Thermal Energy Storage (TES) systems for buildings and grids Phase Change Materials (PCMs) for latent heat storage Integration of solar and PV systems with TES Decarbonization of heating systems Process optimization in crystallization and heat transfer Achievements & Projects: Founder of the Competence Center Thermal Energy Storage (CC TES) Co-founder of SpinOff Cowa (compact energy storage solutions) Key contributor to projects like SWEET PATHFNDR and SwissSTES Over 150 peer-reviewed publications and 6 patents Awards: Recipient of the Best Paper Award at the 2015 Greenstock Conference for contributions to energy storage research. Labs/Teams: Leads the IME Institute and collaborates with SCCER Heat & Electricity Storage and international networks like IEA Annex 35.
Dr. Ip-Shing Fan is a Senior Lecturer in Enterprise Systems at Cranfield University's IVHM Centre, with academic career spanning over three decades. His work bridges technology implementation, organizational behavior, and complex system interactions across aerospace, manufacturing, and healthcare domains. Dr. Fan leads the Digital MRO and Hangar laboratories at Cranfield's DARTeC Initiative and serves as Course Director for the MSc in Aviation Digital Technology Management. PhD in Computer Integrated Manufacturing from Cranfield University BSc in Industrial Engineering (First Class Honours) from Hong Kong Commonwealth Scholarship recipient His research focuses on socio-technical systems in technology implementation, with specialization in Digital Twin applications for aircraft health management, Industrial Automation in aerospace contexts, and Human Factors in maintenance operations. He established the European BEST research consortium for enterprise system implementation knowledge and develops solutions for Predictive Maintenance , Robotic Inspection systems, and Agile Manufacturing frameworks. Key publication trends show expertise in Aerospace Informatics (2022-2025), Enterprise System Implementation (1995-2010), and Supply Chain Knowledge Modeling (2008-2010). Recent work addresses AI Document Reconciliation , Autonomous Inspection Systems , and 3D Printing Applications in aviation maintenance. Dr. Fan chairs the BCS Beds Bucks Northants Branch and has consulted for industry leaders including Boeing, BAE Systems, and SAP. His career combines academic research with practical implementation across Digital Transformation in aviation, Operational Optimization in healthcare, and Knowledge Engineering standards development.
Tanja Jadin is a Professor at the University of Applied Sciences Upper Austria, working at the Research Center Hagenberg within the School of Informatics, Communications and Media. She leads the Knowledge Media and Engineering department and specializes in digital transformation, educational technology, and knowledge media. Her work focuses on developing innovative educational approaches that integrate digital technologies with traditional teaching methodologies. Dr. Jadin's research interests center on Digital Education, Online Learning, Open Educational Resources (OER), Massive Open Online Courses (MOOCs), and the integration of Artificial Intelligence in educational contexts. She has developed numerous educational frameworks including hybrid learning paths, workplace-integrated learning systems for smart factories, and individualized learning environments. Her work bridges the gap between theoretical educational research and practical implementation in higher education institutions. Her publication trends reveal a consistent focus on the evolving relationship between technology and education, with recent work emphasizing AI applications in teaching and learning. The 2023-2025 publications show a clear trajectory toward integrating artificial intelligence into educational frameworks while maintaining a strong foundation in open educational resources and social innovation. Her work addresses both theoretical aspects of digital education and practical implementation challenges faced by institutions. Dr. Jadin has led multiple significant research projects including Intelligent Hybrid Learning (iHL), Hybrid Learning Path development, Empirical Social Research iMooX, ALeS (Workplace-Integrated Learning in Smart Factory), and chabaDoo (individual learning spaces). These projects demonstrate her commitment to developing practical, evidence-based educational solutions that address contemporary challenges in higher education. Her work extends to educational leadership through the development of certification frameworks for OER implementation in Austrian higher education institutions, showing her influence on educational policy and institutional change. She regularly presents her research findings at conferences and workshops, contributing to the broader educational technology community through knowledge sharing and collaborative development.
Anthony D'ALEO is a Senior Researcher at the Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), University of Strasbourg, specializing in organic photonic materials. He completed his PhD at the University of Amsterdam under Prof. Luisa De Cola, followed by postdoctoral work at ENS Lyon and UC Berkeley with Prof. Kenneth N. Raymond. His career includes CNRS positions at CINaM (2009-2016), leading roles in the CNRS-Ewha International Research Center (2016-2017) and UMI 2B FUEL (2017-2019), and a leave period at startup KOALA Tech Inc. His research focuses on designing fluorescent π-conjugated organic molecules for applications in organic electronics, lasers, and bioimaging. Research Interests: Near-infrared (NIR) organic emitters Thermally activated delayed fluorescence (TADF) Hyperbolic metamaterials Photophysical characterization Organic laser dyes Epsilon-near-zero (ENZ) materials Publications demonstrate expertise in boron complexes, lanthanide sensitization, and molecular design for optoelectronic devices, with recent work on donor-acceptor architectures and nonlinear optical responses. Collaborations span institutions including UC Berkeley, CNRS-Ewha, and Ewha Womans University. Education: PhD in Chemistry, University of Amsterdam (2006) MSc in Chemistry, University of Bordeaux I
Smadar Karni is a Professor in the Department of Mathematics at the University of Michigan's College of Literature, Science, and the Arts. Her office is located in 4834 East Hall, Ann Arbor, and she has taught courses including Numerical Methods for ODE's and PDE's (Math 572) and Linear Spaces and Matrix Theory (Math 419) as recently as 2021. Her research focuses on Numerical Methods for Differential Equations, Computational Fluid Dynamics, Numerical Analysis, and Hyperbolic conservation laws. She develops advanced numerical schemes for shallow water systems in channels and two-layer configurations, multifluid dynamics, and radiative shocks. Her methodologies emphasize finite volume techniques, central schemes, and relaxation approaches to resolve complex fluid phenomena like shock waves and irregular geometries. Analysis of her publications (2005-2011) reveals consistent innovation in hyperbolic conservation law solvers, particularly for environmental and astrophysical applications. She frequently collaborates with researchers like R. Abgrall and G. Hernandez to address challenges in area variation, porous media flows, and radiative hydrodynamics, often enhancing stability and accuracy through hybrid algorithmic designs. Scientific Awards: No awards are documented in the available materials. Advising and Grants: The provided information does not specify advised students, doctoral candidates, or research funding sources. Labs and Teams: No dedicated laboratories, research groups, or institutional teams are referenced on her academic profile.
