Find Academic Supervisors

• Communication
• Rhetoric
• Writing Studies
• +5 more

Melissa Ianetta is the Class of 1958 Professor of Communication and Executive Director of the Writing and Communication Program at the School of Literature, Media, and Communication, Georgia Institute of Technology . She has co-authored foundational texts like The Oxford Guide for Writing Tutors and received awards for editorial and leadership excellence. Education: PhD in Rhetoric and Composition, The Ohio State University Her research focuses on disciplinarity , peer tutoring , writing program administration , and academic editing , with a strong emphasis on rhetoric, communication, and pedagogical innovation. Her recent work explores postdoctoral teaching fellowships in English Studies and classical rhetorical models in writing center administration. Scientific Awards: Phoenix Award for Significant Editorial or Design Achievement (Writing Center Journal) Ron Maxwell Leadership Award (National Council for Peer Tutoring in Writing, 2020) Marion Barry Distinguished Graduate Alumni Award (Bridgewater State University, 2020) Assistant Chair of the Conference on College Composition and Communication (2024-2025) Dr. Ianetta has edited College English (2017-2022) and co-edited the Writing Center Journal . She teaches courses on peer tutoring and first-year writing seminars, integrating empirical research with writing culture. Her work bridges classical rhetoric, modern pedagogy, and interdisciplinary collaboration.

• CO2 Sequestration
• Rock Mechanics
• Geotechnical Engineering
• +3 more

Xiaoshu Lu serves as an Adjunct Professor in the Department of Civil Engineering at Aalto University's School of Engineering, Finland. His primary contact is xiaoshu.lu@aalto.fi with phone number +358503503021, and his research profile is accessible via Aalto University's research portal. His research spans CO2 sequestration, rock mechanics, and sustainable construction, with emphasis on enhanced rock weathering for carbon capture, diamond bit fragmentation mechanisms, and biomass-to-energy systems. Interdisciplinary work includes agricultural engineering applications in plant disease detection and transportation engineering for traffic flow forecasting using graph neural networks. Recent publications (2024-2025) reveal dominant themes in geological CO2 storage and rock mechanics, featuring experimental studies and comprehensive reviews. While most work focuses on environmental/geotechnical civil engineering, select publications demonstrate cross-disciplinary reach into computer vision and transportation systems. Key accolades include: Napier Shaw Bronze medal (2006) Best 2012 Research Paper Competition from Aalto University School of Engineering (2013) Second prize in China's Innovation and Entrepreneurship Competition for Overseas Talents (2017) Honourable Tang Aoqing Professorship at Jilin University, China (2013-present) No details regarding graduate student supervision or research grants appear in the source material. He contributes to the 'Performance in Building Design and Construction' research group at Aalto University.

• Integrated Care Governance
• Health Care Management
• Strategic Innovation
• +5 more

Prof. dr. Mirella M.N. Minkman serves as the Vilans Chair in Innovation of Organization and Governance of Integrated Care at Tilburg University's TIAS School for Business and Society. Concurrently, she is CEO of Vilans (National Knowledge Organization for care and support), bridging science, practice, policy, and education through national innovation programs. Her leadership extends to Chair of the National Governance Innovation Advisory Committee (BoZ), Chair of the NVTZ Scientific Advisory Board, Supervisory Board roles at RIBW Brabant and Rivierenland Hospital, and membership in the VGN Committee of Experts. Minkman's research pioneers person-oriented integrated care governance within multi-organizational networks, focusing on leadership, accountability systems, and strategic innovation. She examines how governance modes enable collaborative care models while addressing implementation barriers in healthcare transformation. Her work emphasizes change management frameworks for large-scale system integration, with particular attention to supervision mechanisms and value-based accountability structures across care continua. Analysis of her 15 recent publications (2021-2023) reveals consistent exploration of integrated care governance across Dutch and international contexts. Key thematic clusters include leadership in nursing home care, decision-making dilemmas in service networks, and emerging AI applications in long-term care. Methodologically, her work spans systematic reviews, policy analyses, and implementation studies, predominantly published in the International Journal of Integrated Care and specialized healthcare management outlets. Through Vilans, Minkman directs national knowledge platforms and large-scale implementation programs that connect academic research with practical healthcare innovation. Her international engagement includes board membership with the International Foundation for Integrated Care, editorial roles for the International Journal for Integrated Care, advisory positions with WHO's Integrating the Health and Care Workforce group, and participation in the UK Center for Evidence IMPACT's Critical Friends Group.

Eren VuranView profile

Assistant Professor

• Earthquake Engineering
• Structural Engineering
• Seismic Design
• +3 more

Eren Vuran serves as Assistant Professor and Vice Head of the Civil Engineering Department within Yeditepe University's Faculty of Engineering. His academic career spans Bogazici University's Kandilli Observatory and Earthquake Research Institute, where he completed doctoral research and served as Research Assistant, to his current leadership role overseeing departmental operations and curriculum development. His educational foundation includes: PhD in Earthquake Engineering from Bogazici University (2008-2014) MSc from Universita degli Studi di Pavia (2006-2007) BSc in Civil Engineering from Istanbul Technical University (2001-2006) Dr. Vuran's research critically examines seismic behavior of complex structural systems, with emphasis on core wall dynamics in tall buildings. His work develops practical methodologies for capacity estimation and ductility demand prediction, directly addressing challenges in modern high-rise construction. Current investigations focus on nonlinear response characteristics, soil-pile-structure interaction effects, and innovative isolation techniques for multi-block building configurations. This research bridges theoretical modeling with practical engineering applications through extensive numerical simulations and code compliance analysis. Publication trends reveal consistent focus on coupled core wall systems since 2016, evolving from fundamental capacity procedures to advanced analyses of shear migration and dynamic amplification phenomena. His work demonstrates increasing sophistication in modeling multi-directional seismic responses while maintaining practical relevance for structural design codes. Dr. Vuran actively mentors graduate researchers through six Master's theses addressing contemporary seismic challenges: Seismic design of isolated building blocks (2024) Multi-structure interaction effects (2025) Soil-pile interaction code compliance (2023) Reinforced concrete slab behavior (2023) Pile-foundation configuration analysis (2024) Post-tensioned slab design (2025) He also contributed to the EU-funded TRIPOD project (366894) as researcher, advancing seismic risk assessment methodologies. Professional engagement includes active membership in the Turkish Earthquake Foundation's Earthquake Engineering Committee (since 2018) and the Chamber of Civil Engineers of Turkey (since 2006), where he contributes to national seismic safety standards development.

• Architecture
• Artificial Intelligence
• Machine Learning
• +4 more

Martha Tsigkari serves as an Associate Professor at The Bartlett School of Architecture, University College London (UCL), where she bridges architectural practice with cutting-edge computational research. Her position situates her at the forefront of digital transformation in the built environment, with institutional affiliations spanning UCL's Faculty of the Built Environment and direct contributions to UN Sustainable Development Goals 4 (Quality Education), 11 (Sustainable Cities), and 13 (Climate Action). Her research program critically examines the integration of artificial intelligence, machine learning, and cognitive psychology into architectural design processes. Key investigations include spatial and visual connectivity analysis, XR-enhanced collaborative design environments, and AI-driven optimization of building performance. She explores how digital tools reshape creativity, professional identity, and sustainability outcomes in architecture, with particular focus on data commoditization, skills evolution, and human-AI collaboration in design workflows. Her interdisciplinary approach connects architectural theory with computational neuroscience and industrial digitalization trends. Tsigkari's publication trajectory reveals a clear evolution from computational structural analysis (2012-2017) toward AI ethics and professional transformation (2022-2024). Early work established foundations in performance-driven facades and material systems, while recent output confronts existential questions about architectural practice in the AI era. Her scholarship consistently addresses the tension between technological capability and human-centered design values, with growing emphasis on sustainable development frameworks and educational implications. Scientific Awards: No major awards are documented in the available records. Advising and Grants: While specific supervisees and funding mechanisms aren't detailed in current sources, her extensive collaborative network across 30+ publications indicates active mentorship and research leadership. Co-authorship patterns suggest involvement in multi-institutional projects addressing AECO industry digitalization, with potential ties to UK research councils and industry partnerships like RIBA. Labs and Teams: Tsigkari operates within The Bartlett's digital research ecosystem through recurring collaborations with Kosicki, Tarabishy, and Psarras. Her work manifests in experimental toolsets including Glaucon (XR design environment), HYDRA (optimization framework), and SandBOX (conceptual design system), indicating leadership in UCL's computational design labs focused on human-AI interaction and sustainable building technologies.

• Industrial Engineering
• Maintenance Optimization
• Industry 4.0/Digital Transformation
• +6 more

Aitor Goti Elordi is a Professor in the Department of Mechanics, Design and Industrial Management at the Faculty of Engineering, University of Deusto. His extensive research portfolio spans industrial engineering, maintenance optimization, Industry 4.0 implementation, and sustainable manufacturing practices. He leads multiple EU-funded and industry-collaborative research projects focused on digital transformation in manufacturing sectors. His research interests center around the intersection of industrial engineering and digital transformation, with particular focus on maintenance optimization using evolutionary algorithms, predictive maintenance systems, and the development of future skills requirements for evolving industrial sectors. His work bridges theoretical research with practical industrial applications, particularly in the Basque manufacturing ecosystem. Analysis of his recent publications reveals a strong trend toward interdisciplinary research addressing Industry 4.0 challenges across multiple sectors. His work consistently focuses on practical applications of data science and AI in industrial contexts, with growing emphasis on sustainability and circular economy principles. A distinctive pattern in his research is the development of competency frameworks to identify future skills requirements across various industrial sectors including steelmaking, renewable energy, and supply chain logistics. Professor Goti Elordi leads multiple significant research projects including SUSTASKILLS (2023-2025) focused on industrial symbiosis skills, REshaping Supply CHAins for Positive social impact (2022-2025), and Real-time acoustic sensorS and artificial Intelligence appLications (2023-2026). His work has secured funding from the European Commission, Basque Government, and major industrial partners including SIDENOR, NEMAK, and ETXE-TAR. He actively supervises student projects, particularly in the area of machinery redesign and additive manufacturing applications. His teaching and research integrate practical industrial experience with academic rigor, emphasizing the development of both technical and transversal skills needed for future industrial challenges.

Jaywant SinghView profile

Professor

• Social media marketing
• Consumer behaviour
• Branding
• +5 more

Jaywant Singh is Professor of Marketing and Head of the Department of Digital and Data Driven Marketing at Southampton Business School, University of Southampton. He serves as a member of the Editorial Review Board of the Journal of Advertising Research and actively supervises PhD students in consumer behavior and branding research. Professor Singh's research focuses on why and how people consume goods and services, utilizing theories from social and experimental psychology along with mathematical and structural models. His work examines consumer behavior through the lenses of brand management, ethical consumption, and service management. Key research areas include reactions to brands espousing social causes, corporate brand crisis communication, social media impact, and sustainable consumption. His recent publications show a strong trend toward digital marketing and data-driven approaches, with increasing focus on social media influencers, ethical brand positioning, and cross-cultural consumer behavior in emerging markets. The research demonstrates sophisticated methodological approaches combining psychological theories with quantitative analysis. Scientific awards received include: Reviving corporate reputation following a crisis: The impact of online influencer communications and affective displays on consumers (2018) Brands that do not do Good: The Impact of Corporate Reputation Harm on Brand Equity and Consumer Value Perceptions (2016) The effect of guarantee terms on service recovery fairness (2014) Stock keeping units: examining patterns of buyer behaviour (2000) Professor Singh actively supervises doctoral candidates on topics at the interface of consumer behavior and branding, including current PhD students Hanjia Duan and Cagla Dayangan. He has secured research funding from external bodies including the British Academy, as evidenced by his project 'Under Influence? An Investigation Of Social Media Influencers' Impact On Followers' Affective Consequences And Wellbeing.' He is a member of The India Centre for Inclusive Growth and Sustainable Development and the Centre for Marketing Research, contributing to collaborative research initiatives that bridge academic theory with practical marketing applications.

Ahmed ElkadyView profile

Associate Professor

• Performance-Based Earthquake Engineering
• Collapse Risk and Loss Assessment
• Resilience-based Design
• +4 more

Dr. Ahmed Elkady is an Associate Professor in Structural Engineering at the University of Southampton's Faculty of Engineering and Physical Sciences, Department of Civil, Maritime and Environmental Engineering. His research focuses on structural performance under seismic hazards with specialization in steel and composite structures. He leads the Infrastructure Research Group and actively supervises PhD students while developing innovative computational tools for structural analysis. Elkady's research interests center on Performance-Based Earthquake Engineering, Collapse Risk and Loss Assessment of Steel and Composite Buildings, and Resilience-based design of Existing Structures. His work combines advanced numerical modeling with large-scale experimental testing to develop robust predictive models for structural behavior under extreme loading conditions. He has made significant contributions to the understanding of structural connections, particularly steel endplate and bolted connections. His recent publications demonstrate a strong trend toward integrating machine learning with traditional structural engineering methods, particularly in modeling steel connections and predicting structural behavior. The research spans both fundamental mechanics and practical applications for seismic risk assessment, with several of his 2023-2025 publications focusing on data-driven approaches to structural analysis. Raymond C Reese Research Prize (2022) Multiple Outstanding Reviewer awards from ASCE Journal of Structural Engineering (2019-2020) First Place Award in NIST-ATC Blind Prediction Contest (2018) Alexander Graham Bell graduate scholarship from NSERC Canada (2014) Multiple best presentation awards at engineering conferences (2012-2015) Elkady currently supervises three PhD students (Weiran Li, Zizhou Ding, and Aran Naserpour) and leads the EPSRC-funded project 'Seismic Resilience of Egypt's Built Environment: A GIS-Based Framework for Assessment and Mitigation.' He has also secured funding from Research England for the 'EGYGIS: GIS Mapping in Support of Egypt's Disaster Risk Management' project. His research has resulted in several open-source software tools including EaRL (Earthquake Risk, Loss & Lifecycle Assessment), FM-2D (Frame Modeler 2D), and SCRonED (Semi-Rigid Connections Experimental Database), which are widely used in the structural engineering community for performance-based earthquake engineering.

Sirojan TharmakulasingamView profile

Lecturer

• Machine Learning
• Artificial Intelligence
• Data Science
• +6 more

Dr. Sirojan Tharmakulasingam serves as a Lecturer and Research and Development Coordinator at the Signals, Information & Machine Intelligence lab within the Faculty of Engineering at the University of New South Wales (UNSW) Sydney. His work bridges theoretical machine learning with practical applications in edge computing and high-performance systems. His research spans multiple cutting-edge domains including machine learning, artificial intelligence, data science, edge computing, and high-performance computing. Dr. Tharmakulasingam specializes in developing next-generation inference models by integrating machine learning, signal processing, mathematical modeling, and computing across diverse data types including images, video, audio, and quantum molecular data. His work has significant implications for scientific computing, telecommunications, and healthcare applications. Analysis of his publication trends reveals a strong focus on practical AI implementations, with increasing emphasis on edge computing solutions, quantum applications, and energy-efficient models. His recent work demonstrates progression from foundational machine learning techniques toward specialized applications in scientific computing and real-time systems. Dr. Tharmakulasingam holds a Doctor of Philosophy from UNSW Sydney and a Bachelor of Science of Engineering from the University of Moratuwa in Sri Lanka. His academic journey reflects a strong foundation in both theoretical and applied engineering principles. As Research and Development Coordinator for the Signals, Information & Machine Intelligence lab, he oversees critical research infrastructure and collaborations. His work location in Room 447 of the EE&T Building (G17) places him at the heart of UNSW's engineering research ecosystem, with access to the Mark Wainwright Analytical Centre's extensive facilities.

Hazar DibView profile

Associate Professor

• Building Information Modeling (BIM)
• Information Systems
• Knowledge Management
• +7 more

Hazar Dib is an Associate Professor at the School of Construction Management Technology, Purdue Polytechnic Institute, Purdue University. His work bridges Building Information Modeling (BIM) , knowledge management , and interactive learning technologies to advance construction education and process efficiency. Ph.D. in Building Construction (2007, University of Florida) MSc. in Civil Engineering (2002, University of Balamand) BSc. in Civil Engineering (2000, University of Balamand) Research Interests focus on: BIM lifecycle integration AI/knowledge-based systems for construction Digital tools for surveying and steel connection education Collaborative communication frameworks Sustainability metrics in building practices Human factors in technology adoption Scientific Awards include multiple Charles B. Murphy Awards for undergraduate teaching and the Society of Leaders in Construction induction. His NSF-funded projects like VELS (Virtual Environment for Learning Surveying) and Steel Connection Teaching Tool highlight his innovation in STEM education . Articles span serious games , visual learning , and BIM maturity assessments , reflecting his interdisciplinary approach.

Roel LoonenView profile

Associate Professor

• Adaptive facades
• Building-integrated renewable energy
• Energy efficiency in buildings
• +3 more

Roel Loonen is an Associate Professor at the Unit Building Physics and Services within Eindhoven University of Technology's Department of the Built Environment. Since October 2024, he has joined the EIRES Management Team, leading the Energy Transition in the Built Environment focus area alongside Lenneke Kuijer. His work emphasizes integrating energy efficiency with occupant comfort through advanced building simulation techniques. Academic Affiliation: Eindhoven University of Technology Management Role: EIRES Management Team Research Focus: Adaptive facades, building-integrated renewable energy, and occupant behavior modeling Loonen’s research explores modeling and simulation strategies for buildings that reconcile high indoor quality with minimal environmental impact. Key projects include collaborations with eyrise on solar shading glass and TNO on the ZIEZO project, which experiments with insulated glazing units that combine solar shading with bifacial photovoltaics at the SolarBEAT facility. His work spans computational methods for urban irradiation, occupant-facade interaction frameworks, and multi-domain thermal comfort modeling. The ZIEZO project exemplifies his approach to energy-efficient design by redirecting reflected light to enhance photovoltaic output while maintaining daylight comfort. His publications address challenges in adaptive façade systems, PV integration, and sensitivity analysis for heating demand. Loonen advocates for interdisciplinary collaboration to bridge technical innovation with societal implementation needs. Loonen’s educational contributions include co-teaching the interdepartmental master course Sustainable Energy Technology and developing interactive simulation-based teaching tools. He emphasizes connecting energy-related research to practical implementation through stakeholder engagement with municipalities, building companies, and grid operators. Key facilities involved in his research include SolarBEAT (for testing solar technologies) and TU/e’s simulation laboratories. His work addresses urban energy transitions by combining building physics with grid interactions, occupant behavior, and scalable PV system optimization.

• Electrical Engineering
• Wind Turbine Systems
• Electric Vehicle Powertrains
• +5 more

Torbjörn Thiringer is a Professor in Electrical Engineering at Chalmers University of Technology. His research focuses on electrical systems for wind turbines and electric vehicles, with particular emphasis on system-level analysis and component-level studies of electrical machines, power electronics, and battery systems. Key research areas: Wind turbine systems, Electric vehicle drives, Battery degradation, Power electronics optimization Recent work explores graphene-based thermal management, fuel cell hybrid vehicles, and direct current building distribution efficiency His publications demonstrate interdisciplinary engagement with topics spanning: Finite element analysis of motor designs Life cycle assessment of energy systems Thermal modeling of SiC inverters Wave energy converter optimization Core loss measurement techniques Hydrogen fuel cell integration Professor Thiringer's collaborations span multiple institutions and industry partners, focusing on both theoretical modeling and practical implementation of advanced energy systems.

Angelos GeorghiouView profile

Associate Professor

• Stochastic Optimization
• Robust Optimization
• Operations Management
• +4 more

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .

• Entrepreneurship
• Innovation
• Organizational Theory
• +2 more

Yuliya Snihur is an Associate Professor of Entrepreneurship at IESE Business School, University of Navarra . She holds a PhD in Management from IESE Business School and bachelor's degrees in International Business from Northeastern University and European Management from NEOMA Business School. Prior to her academic career, she gained industry experience in corporate finance at multinational corporations including Johnson & Johnson and Coca-Cola, as well as startup environments. Her research focuses on entrepreneurial framing , business model innovation , and strategic adaptation in digital transformation contexts. She examines how CEOs use linguistic tools to shape organizational responses to disruptive innovations, particularly through opportunity framing that influences business model blending versus separation strategies. Her work combines cognitive theory, organizational behavior, and strategic management principles. Current research explores the temporal dimensions of opportunity framing in prolonged adaptation processes, analyzing how intensity, concreteness, future orientation , and inclusiveness of executive communication affect organizational response to technological disruption. Her 2025 publications examine innovation legitimacy and ethical framing in entrepreneurial contexts.

• Hydrogen Production
• CO2 Capture
• Solar Thermal Energy
• +3 more

Dr. Mehdi Jafarian is a Senior Lecturer in the School of Chemical Engineering at the University of Adelaide . His work focuses on hydrogen production , CO2 capture , solar thermal energy , and chemical looping combustion . Key research areas include: Solar thermal integration in industrial processes Hydrogen generation via methane pyrolysis CO2 sequestration technologies Advanced water treatment systems Thermochemical energy storage Research Trends : Recent publications emphasize hydrogen production optimization , PFAS removal , and molten metal reactor systems . Sub-fields span flash reactor modeling , hydrodynamic cavitation , and membrane-free electrolysis . Contact : mehdi.jafarian@adelaide.edu.au