Find Academic Supervisors

• Techno-Economic Analysis
• Life-Cycle Cost
• Cost-Benefit Analysis
• +3 more

T M Indra Mahlia , a Distinguished Professor at the School of Civil and Environmental Engineering , University of Technology Sydney (UTS), leads cutting-edge research in sustainable energy systems and environmental engineering. As a core member of the Centre for Technology in Water and Wastewater and the Centre for Advanced Modelling and Geospatial Information Systems , he bridges engineering innovation with practical climate solutions. PhD from University of Malaya (Kuala Lumpur, Malaysia) Fluency in English, Indonesian, Malay, and Achinese for peer review His research spans Techno-Economic Analysis , Circular Economy , and Water-Energy Nexus challenges, supported by over $5 million in grants. His work focuses on: Hydrogen energy systems optimization Advanced materials for energy storage Low-cost water purification technologies Sustainable biodiesel production Thermal management innovations As a Highly Cited Researcher (Clarivate Analytics, 2017-2022) and The Australian 's 2019/2025 Sustainable Energy Leader , he mentors future researchers - notably guiding two Highly Cited PhD students ( H.C. Ong and A.S. Silitonga ). His publications across 2024-2026 demonstrate technical advancements in: Hydrogen carrier systems Microalgae-derived lubricants High-entropy alloy corrosion resistance Artificial neural network optimization Phase change material thermal sinks Biohydrogen production pathways

Roland ReitbergerView profile

Research Fellow

• Life Cycle Assessment
• Building Simulation
• Sustainable Architecture
• +3 more

Roland Reitberger is a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich . His work focuses on Life Cycle Assessment , thermal-dynamic building simulation , and parametric methods for analyzing the built environment. He investigates interactions in urban systems and synergy effects in sustainable construction. Research interests include climate-resilient urban planning, integration of green infrastructure with building systems, and data-driven optimization of building energy performance. His recent publications demonstrate expertise in multi-objective decision support for neighborhoods, GIS-based urban tree analysis , and holistic climate assessments of construction projects. Reitberger contributes to urban climate resilience research through parametric modeling of building density-vegetation relationships and develops frameworks for circular economy strategies in building densification and refurbishment. His methodological innovations combine machine learning with building simulation for explainable AI applications in office energy management.

• Fluid Machines
• Energy Systems
• Turbomachinery
• +7 more

Giovanna Barigozzi is a Full Professor at the University of Bergamo's Department of Engineering and Applied Sciences within the School of Engineering. Since October 2024, she has served as Vice Rector with responsibility for Innovation and Digital Transition of University Processes and Services, with a focus on ethical AI implementation in academic contexts. Previously, from 2018 to 2024, she was Director of the Department of Engineering and Applied Sciences and a Member of the Academic Senate. PhD in Fluid Machine Engineering, University of Genoa (1996) Diploma Course in Turbomachinery, von Karman Institute for Fluid Dynamics, Belgium Bachelor's with honors in Mechanical Engineering, University of Genoa (1992) Professor Barigozzi's research spans thermo-fluid dynamics, gas turbine cooling systems, and sustainable energy technologies. Her work combines experimental and numerical approaches to address complex engineering challenges in film cooling of gas turbine arrays, energy conversion systems, and hydrogen technologies. She has pioneered innovative cooling system analyses through collaborations with Korea University, applying artificial intelligence to optimize cooling geometries. Her recent publication portfolio reveals strong trends in advanced cooling techniques for gas turbines, with particular emphasis on film cooling optimization using shaped holes, trench geometries, and experimental techniques like Pressure Sensitive Paint. The research spans fundamental fluid dynamics investigations to applied studies on hydrogen production systems and automotive brake disc aerodynamics, demonstrating both theoretical depth and practical engineering applications. As an academic leader, Professor Barigozzi serves as Associate Editor of the ASME Journal of Turbomachinery and on the Editorial Board of the International Journal of Turbomachinery, Propulsion, and Power. For ASME IGTI, she coordinates the Honors & Awards Committee for the 2024-2026 biennium, reflecting her standing in the international turbomachinery community. Professor Barigozzi coordinates the Energy Systems and Turbomachinery Laboratory at the University of Bergamo and is a member of the Doctoral School in Sustainable Technologies for Industrial and Construction Engineering (SUSTAIN). Her leadership extends to coordinating teaching activities across multiple engineering programs, including courses on fluid machinery, sustainable energy, and experimental techniques for fluid machinery.

• Design automation for intelligent cyber-physical systems
• Internet-of-Things applications
• Safe and robust machine learning for embodied AI
• +7 more

Professor Zhu Qi is a faculty member in the Department of Electrical and Computer Engineering at Northwestern University's McCormick School of Engineering, with courtesy appointment in Computer Science. He leads the IDEAS Lab (Design Automation of Intelligent Systems Lab) where his research focuses on design automation for intelligent cyber-physical systems and Internet-of-Things applications. His research interests include safe and robust machine learning for embodied AI systems, cyber-physical security, energy-efficient CPS, and system-on-chip design. Professor Zhu's work particularly addresses safety, robustness, security, adaptability, resiliency, and energy challenges in the design and operation of embodied AI systems. His applications span connected and autonomous vehicles, robotics, advanced manufacturing, wearable computing, smart buildings and infrastructures, and IoT. Professor Zhu's recent publications reveal a strong focus on safety verification of neural network controlled systems, robust reinforcement learning methods, and applications of large language models in autonomous systems. His work often combines formal verification techniques with machine learning approaches to provide safety guarantees for AI-enabled cyber-physical systems. DATE 2022 Best Paper Award AutoSec 2021 Best Short Paper Award ACM TODAES 2016 Best Paper Award IEEE TCCPS Early-Career Award (2017) Humboldt Research Fellowship for Experienced Researchers (2017) NAE US Frontiers of Engineering participant (2020) Professor Zhu has secured multiple research grants from NSF (including FM, DESC, and Fuse grants), DOE, ONR, and industry partners including GM and Toyota. His advising includes PhD students Shuyue Lan and Hengyi Liang, and postdoc Chao Huang who became a Lecturer at University of Liverpool. He leads the IDEAS Lab which focuses on cross-layer design, verification, and adaptation of learning-enabled cyber-physical systems.

Yasel CostaView profile

Professor

• Operations Research
• Supply Chain Management
• Mathematical Programming
• +5 more

Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.

• Algorithm development
• Data analytics
• Time-series data analysis
• +6 more

Emran Ali is a Graduate Researcher (Ph.D. candidate) and Part-Time Lecturer at Deakin University's School of Information Technology within the Faculty of Science, Engineering and Built Environment. He holds concurrent faculty appointments at Hajee Mohammad Danesh Science & Technology University (HSTU) in Bangladesh where he teaches computer science courses while on study leave. His academic journey includes a Master of Science (Research) in Information Technology from Deakin University (2022) and a Bachelor of Science in Computer Science and Engineering from HSTU. Doctor of Philosophy (Ph.D.) in Information Technology, Deakin University (2023–present) Doctor of Philosophy (Ph.D.) in Machine Learning, Coventry University (Cotutelle program, 2023–present) Master of Science (Research) in Information Technology, Deakin University (2020–2022) Bachelor of Science in Computer Science and Engineering, HSTU Bangladesh (2007–2012) Ali's research focuses on algorithm development and applied machine learning in health informatics, specializing in biosignal processing for neurological and sleep disorder detection. His work integrates time-series data analysis with explainable AI techniques to develop clinical decision support systems. Current projects include ML/DL modeling of sleep-stage transitions in aging populations and causal relationship analysis in sleep disorders using EEG data. Analysis of his 10 recent publications reveals strong concentration in biomedical ML applications (60%), particularly EEG-based neurological disorder detection and mental health diagnostics. Secondary focus areas include environmental monitoring systems (20%) and foundational computer science (20%). His work consistently employs ensemble methods and feature optimization techniques across diverse datasets, with increasing emphasis on real-world clinical applicability in recent publications. Deakin University Post-graduate Research Scholarship (DUPRS) through Cotutelle program with Coventry University National Fellowship from Bangladesh Ministry of Science and Technology (2020) Best Presentation Award at Deakin School of IT Conference (2021) AWS AI/ML Scholarships (2023, 2024) Next Generation Tech Booster Scholarship (2024) Ali provides research supervision at HSTU while serving as a Graduate Research Teaching Fellow at Deakin University for Machine Learning and Data Analytics units. His industry collaborations include projects with Monash University, Alfred Health, and AETMOS Australia focused on health informatics applications. Current funding includes AWS-sponsored nanodegrees and Deakin University research scholarships supporting his sleep disorder research. His technical work integrates cloud-based AI/ML platforms (AWS, Azure) with biosignal processing pipelines, utilizing collaborations across Australian healthcare institutions to validate clinical applications. Recent projects emphasize explainability in deep learning models for medical diagnostics, particularly in resource-constrained environments relevant to Bangladesh healthcare contexts.

Haipeng CaiView profile

Associate Professor

• Software Engineering
• Program Analysis
• Software Security
• +5 more

Haipeng Cai serves as an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. His academic work spans software engineering, program analysis, and software security with particular emphasis on adaptive analysis techniques for mobile and distributed systems. His research interests center on adaptive/data-driven static and dynamic analysis for security applications targeting mobile apps, distributed systems, and multilingual software. Current work focuses on enhancing vulnerability detection, cross-language bug analysis, and automated security tooling through machine learning approaches. His lab produces tools like VinJ for vulnerability data generation and PolyFax for multilingual software characterization. Recent publications reveal strong trends in multilingual system security and AI-enhanced analysis , with 15+ papers since 2022 addressing cross-language vulnerabilities, Android security, and learning-based vulnerability detection. His work bridges theoretical program analysis with practical security applications in real-world software ecosystems. As an active academic contributor, he serves on program committees for major conferences including ASE, ICSE, and FSE, and will deliver a keynote at PROMISE 2025. His leadership includes journal-first paper chair roles and session chair positions at top software engineering venues. Dr. Cai maintains an active research presence through his personal website , GitHub repository ( github.com/chapering ), and academic social media profiles, with consistent contributions to the software engineering research community since 2018.

• Computational Fluid Dynamics
• Turbomachinery
• Numerical Methods
• +7 more

Ernesto Casartelli is a Professor and Head of the Competence Center for Fluid Mechanics and Numerical Methods at the Institute of Mechanical and Energy Engineering (IME) within Lucerne University of Applied Sciences and Arts (Hochschule Luzern) - Engineering & Architecture. He leads a research group specializing in computational fluid dynamics (CFD) applications for turbomachinery and fluid systems. His academic journey began with a Mechanical Engineering degree from ETH Zurich, followed by a PhD from the same institution. Prior to his academic career, he worked at Sulzer Innotec as a research engineer and group leader in Turbomachinery CFD. Professor Casartelli's research focuses on advanced computational methods for fluid dynamics problems, particularly in turbomachinery applications. His work spans CFD solver development, turbulence modeling (including Reynolds Stress Models), cavitation modeling, real gas effects, and adjoint optimization techniques. He has made significant contributions to understanding pump-turbine behavior, centrifugal compressor design, and multiphase flow phenomena. His research group actively collaborates with industry partners to solve practical engineering challenges in energy systems and fluid machinery. His recent publications demonstrate a strong trend toward developing and validating advanced numerical methods for complex fluid flow problems, with particular emphasis on industrial applications. The research spans fundamental CFD methodology development to applied engineering solutions for turbomachinery, hydropower systems, and thermal management. His work increasingly integrates optimization techniques with high-fidelity simulations to improve design processes. Professor Casartelli leads several research projects including Carbon Capture, Utilization and Storage; medical applications for cataract surgery; wind force analysis on green facades; urban area CFD studies; and energy-efficient appliance design. His work bridges theoretical fluid dynamics with practical engineering solutions across multiple sectors. As Head of the Competence Center for Fluid Mechanics and Numerical Methods, he oversees research activities, supervises projects, and maintains strong industry connections to ensure research relevance. His leadership has established the center as a hub for CFD expertise in Switzerland, particularly in turbomachinery applications and numerical method development.

Sabine PfeifferView profile

Professor

• Sociology of Work
• Digital Transformation
• Industry 4.0
• +5 more

Prof. Dr. Sabine Pfeiffer holds the Chair of Sociology (Technology – Work – Society) at the Nuremberg Campus of Technology, part of Friedrich-Alexander University Erlangen-Nuremberg. She is an active researcher and thought leader in the sociology of work, with particular expertise in digital transformation, Industry 4.0, and labor capacity. Her work bridges academic research and practical applications in industry, with significant collaborations including the Volkswagen study and advisory roles with government bodies. Professor Pfeiffer's research interests focus on how digitalization transforms work structures and qualifications across various sectors including mechanical engineering, office work, and critical infrastructure. She has developed the Labouring Capacity Index (AV-Index) as a tool to measure living labor capacity and experience as resources for Industry 4.0 transition. Her work examines the intersection of technology, work organization, and social inequality, with particular attention to how workers navigate digital transformation in different occupational contexts. Her recent publications reveal consistent research trends examining the dual transformation of digitalization and sustainability, with particular focus on Volkswagen as a case study. The work explores transformation experience, resources, and readiness across multiple dimensions. She also investigates how AI is perceived and integrated in workplaces, the evolution of office work in digital environments, and the measurement of work through wearables and digital assistance systems. Best Paper Award for keynote speech on 'Work 4.0' at VET Conference in Rostock (2017) Nominated for 'Influencer of the Year 2013' by the Strategy Circle for Mechanical and Plant Engineering Professor Pfeiffer serves on the Council of the World of Work appointed by the Federal Ministry of Labour and Social Affairs, and recently joined the board of directors at bidt (Bavarian Institute of Technology Assessment). She previously served on the Research Advisory Board of the Industry 4.0 Platform and advisory boards at CIDAS. Her research is frequently funded through collaborations with institutions including BIBB (Federal Institute for Vocational Training), WZB Berlin Social Science Center, and industry partners like VDMA. Her work is conducted through the Labouratory research group at the Nuremberg Campus of Technology, which focuses on empirical studies of work in the digital age. The team employs mixed methods approaches including representative surveys, qualitative case studies, and workplace observations to understand the changing nature of work. Recent projects include the diGAP project on good agile project work and studies on digital transformation in mechanical engineering and office work sectors.

Eduard GröllerView profile

Professor

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +5 more

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

Alexander BarnesView profile

Professor

• Magnetic Resonance
• Gyrotron Technology
• NMR Spectroscopy
• +3 more

Prof. Alexander Barnes is a Full Professor at the Department of Chemistry and Applied Biosciences and Head of the Institute of Molecular Physical Science at ETH Zürich. His research focuses on advanced magnetic resonance techniques, gyrotron technology, and biomolecular structural analysis. Key areas include high-power microwave source development for NMR applications, structural characterization of viral proteins (e.g., SARS-CoV-2), and cryogenic instrumentation for enhanced spectroscopy. Barnes has pioneered innovations in dynamic nuclear polarization (DNP) systems, frequency-agile gyrotrons, and miniaturized superconducting magnets. His work bridges fundamental physics with biomedical and materials science applications. Current projects address protein-membrane interactions, THz gyrotron design, and cryogenic NMR probe optimization. Barnes collaborates extensively with international research groups and industry partners to advance analytical instrumentation and disease-related molecular mechanisms. Publications reflect a sustained focus on experimental and computational methods for magnetic resonance, including breakthroughs in electron beam modeling, frequency-chirped DNP, and ultra-high-field magnet development. His engineering contributions include spherical rotor systems for magic-angle spinning and lightweight gyrotron cavities. Barnes also leads initiatives in solid-state NMR for drug discovery, particularly targeting protein kinase modulation in T-cells and viral assembly mechanisms.

Djinovic Carugo KristinaView profile

Professor

• Structural Biology
• Biochemistry
• Molecular Biology
• +4 more

Kristina Djinovic Carugo is a Full Professor of Structural Biology at the University of Vienna , affiliated with the Department of Structural and Computational Biology at Max F. Perutz Laboratories. Her career spans leadership roles including Head of Department (since 2009), Director of the Laura Bassi Center for Optimized Structural Studies (2010-2016), and Head of Structural Biology and Crystallography Unit at Sincrotrone Trieste (1999-2004). Education : PhD in Chemistry (1992, University of Ljubljana); Master's (1989, University of Ljubljana); Diploma in Chemistry (1986, University of Ljubljana) Her research focuses on structure-function analysis of metallo-enzymes involved in cellular protection, structural biology of actin-based cytoskeleton with emphasis on muscle Z-disk assembly, and X-ray induced radiation damage in protein crystals. Key techniques include X-ray crystallography, cryo-EM, and integrative structural approaches. Recent work explores liquid-liquid phase separation in sarcomeric Z-disc formation, Filamin C regulation by HSPB7 , and automated structural analysis tools like chalcogen bond detection in AlphaFold models. She has contributed to understanding protein interactions in hemidesmosomes, sarcomere mechanics, and redox-sensitive structural dynamics. Scientific Recognition : EMBO long-term postdoctoral fellowship (1995) Laura Bassi Center of Expertise (2010) EMBO member (2016) Her institutional roles include appointment committee memberships for tenure-track and professorship positions at Austrian universities and leadership in the Protein Technology Facilities user committee. Publications span high-impact journals including Science Advances, Cell, and PNAS, with over 145 peer-reviewed papers and an H-index of 44.

Bert BlockenView profile

Professor

• Aerodynamics
• Computational Fluid Dynamics (CFD)
• Wind Tunnel Testing
• +3 more

Prof. Bert Blocken is a Full Professor of Mechanical Engineering (Aerodynamics) at Heriot-Watt University and part-time Full Professor of Civil Engineering (Building Physics) at KU Leuven. He leads research in subsonic aerodynamics, CFD, and wind tunnel testing, with applications in urban physics, building aerodynamics, and sports engineering. His work bridges academia and industry, supporting elite sports achievements like Tour de France wins and world records in marathon running and triathlon. Education: PhD in Civil Engineering/Building Physics (KU Leuven, 2000), MSc in Mechanical Engineering. Research focuses on aerodynamic optimization for sports equipment and urban environments. He has published 253 peer-reviewed articles (h-index: 80/86/101 on Web of Science/Scopus/Google Scholar), advised 34 PhD students, and developed a MOOC in Sports & Building Aerodynamics. His awards include Clarivate's Highly Cited Researcher (2018-2024) and Engineering.com's 'Engineers Who Mattered' (2020). Media contributions include TV appearances on cycling aerodynamics, Wall Street Journal features, and podcasts. He collaborates with organizations like the UCI, INEOS, and Red Bull on world record projects. Leads the design of Heriot-Watt's state-of-the-art wind tunnel and serves as Editor for Building & Environment and Associate Editor for Sports Engineering .

• Smart Cities
• Sustainable Urban Planning
• Solar Energy
• +7 more

Gabriele Lobaccaro is a Professor at the Department of Civil and Environmental Engineering at NTNU. He specializes in sustainable urban planning, energy-efficient architecture, and solar energy integration in built environments. His research focuses on smart cities, solar potential assessment, and climate-resilient urban design. Education: MSc in Building Engineering and Architecture from Politecnico di Milano (2008), PhD in Building Engineering from Politecnico di Milano and UNSW Sydney (2013). Former roles include Postdoctoral Research Fellow (2013-2017) and Researcher at the Department of Architecture and Technology (2017-2020). Research highlights include participation in international projects like REINVENT, RAMSES, and EERA Joint Programme Smart Cities. He leads efforts in solar neighborhood planning, façade engineering, and digital twin technology for energy systems. Awards: Åsgård Research Program (2018/2020), ISSNAF/CNI Scholarship (2014), and COST Action TU0902 Scholarship (2014). Teaching: Courses in Building Physics for Architects, Climate and Built Forms, and Urban Studies. Active in NTNU’s Smart Sustainable Cities@NTNU initiative and IEA SHC Task 51/63.

• Aerospace Engineering
• Experimental Aerodynamics
• Supersonic Jets
• +6 more

Raffaello Mariani is an Associate Professor at the Royal Institute of Technology (KTH), affiliated with the AEROSPACE, MOVEABILITY AND NAVAL ARCHITECTURE school and the Aeronautical and Vehicle Engineering Unit. He holds a BSc in Aerospace Engineering from Embry-Riddle Aeronautical University (2003), an MEng in Experimental Methods from Old Dominion University (2005), and a PhD in Fundamental Fluid Dynamics from The University of Manchester (2012). His career includes roles at BMT FM, ONERA, and Nanyang Technological University before joining KTH in 2018. Research focuses on experimental aerodynamics, supersonic jets, shock wave dynamics, and UAV design. Key areas include wind tunnel testing techniques (e.g., rainbow schlieren), flow control strategies, and hybrid-electric propulsion systems for sustainable aviation. He leads the Green Raven project, developing a hydrogen-powered blended-wing-body UAV to combat climate change. Teaching responsibilities include courses like Advanced Topics in Aeronautics and Future Sustainable Aviation . Active in interdisciplinary collaborations, he integrates electrochemistry, mechatronics, and embedded systems into aerospace engineering solutions. Award-winning contributions include pioneering work on vortex ring interactions and supersonic jet noise mitigation. His recent studies explore bio-inspired wing designs and ground-effect aircraft optimization.