Find Academic Supervisors

Vedhus Hoskere is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston. His research focuses on interdisciplinary areas at the intersection of civil engineering, computer science, and robotics, emphasizing automated infrastructure inspection, machine learning, and AI-driven solutions for structural health monitoring. He holds the Liu Huixian Earthquake Engineering Scholarship (2018) for his work on automated post-earthquake building inspections. Key research areas include image analysis, machine learning, robotics, scientific computing, and visualization. His work integrates computer vision with civil infrastructure challenges, such as flood modeling, structural damage assessment, and autonomous inspection systems using drones and robotics. Notable projects include developing digital twin frameworks for bridges, synthetic environment testing for inspection algorithms, and semi-supervised learning for disaster damage analysis. His recent publications highlight advancements in transformer networks for instance segmentation, physics-informed generative models for damage assessment, and AI-driven hurricane resilience strategies. Hoskere collaborates on platforms like InstaDam for automated damage segmentation and explores Bayesian neural networks for quantifying uncertainties in infrastructure monitoring. Key Awards: Liu Huixian Earthquake Engineering Scholarship (2018) Advising & Labs: While no specific student names or grant details are provided, his research group likely focuses on robotics, computer vision, and AI applications in civil engineering. He contributes to open-source tools like the InstaDam platform and collaborates with institutions like the University of Illinois and USACE.

• Image Analysis
• Machine Learning
• Artificial Intelligence
• +6 more

Dr. Markus Ellmer is affiliated with the University of Salzburg's Faculty of Law, Business and Economics, within the Department of Business (Human Resource Management). As a Lecturer, his work bridges academic research and practical applications in digital HRM tools and user research at TeamEcho. His teaching focuses on qualitative research methods and digital HRM, including courses like 'Basics and Methods of Empirical Research' (since 2018) and 'HRM and Digital Technology' (since 2021). His research explores socio-technical dynamics of digital HR platforms, platform worker voice mechanisms, and the impact of data-driven HR analytics on organizational credibility. Key themes include digital participation, epistemic alignment in HR practices, and global mobility in multinational employer branding. Notable research contributions address platform labor policies in Europe, affordance-based analyses of e-HRM systems, and the governance of human computation labor on platforms like Amazon Mechanical Turk. His work critically examines the interplay between technology design, organizational performance, and worker welfare in digital labor markets. Ellmer has published extensively on crowdwork, HR analytics credibility, and digital voice mechanisms, with a focus on socio-technical systems and epistemological dimensions of digital HR practices. He actively contributes to debates on improving platform work conditions and rethinking traditional HRM frameworks in the digital era.

• Human Resource Management
• Digital Work Platforms
• Organizational Behavior
• +3 more

Ehsan Kabir is a Lecturer in Public Service Management at the University of South Wales' Faculty of Business and Creative Industries. His work focuses on displacement studies, climate change impacts, and vulnerable populations in South and Southeast Asia. Kabir has conducted extensive research on Rohingya refugees in Bangladesh, Afghan internally displaced persons (IDPs), and environmental migrants affected by river erosion and drought in Bangladesh. His research employs mixed-method approaches including GIS analysis, remote sensing, and qualitative case studies. Key themes include dignity frameworks in displacement contexts, climate adaptation strategies for coastal agriculture, and the socio-economic dynamics of internal migration. Kabir has contributed to over 20 peer-reviewed publications since 2012, with particular emphasis on Bangladesh's development challenges and humanitarian crises. While no formal awards are listed, his work demonstrates significant contributions to refugee policy analysis and environmental vulnerability frameworks. Teaching responsibilities include public service management modules, while research interests extend to disaster resilience and sustainable development goals implementation in marginalized communities.

• Refugee Studies
• Climate Change Adaptation
• Public Policy Analysis
• +3 more

Riadul Islam serves as an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), maintaining his primary office in room 316 of the Information Technology and Engineering (ITE) Building. His academic appointment focuses on hardware design and verification within the institution's engineering framework. His educational qualifications include: Ph.D. in Computer Engineering from UCSC (2017) M.A.Sc. in Electrical and Computer Engineering from Concordia University, Montreal (2011) B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2007) Professor Islam's research centers on VLSI CAD tools and low-power digital/mixed-signal IC design , with significant contributions to current-mode clock networks, vehicular security systems, and error-robust circuit architectures. His work increasingly integrates machine learning for design automation while exploring neuromorphic computing applications and secure hardware implementations. This multidisciplinary approach bridges traditional IC design with modern AI-driven optimization techniques. Analysis of his 2023-2025 publications reveals three dominant research thrusts: (1) Machine learning applications in early-stage Design Rule Checking (DRC) prediction and clock network optimization, (2) Graph-based intrusion detection systems for automotive networks (particularly CAN bus security), and (3) Event-based vision systems and neuromorphic computing architectures. These areas demonstrate consistent innovation in merging hardware design with AI/ML methodologies for enhanced system reliability and efficiency. He directs the UMBC VLSI and SoC Research Group , which develops energy-efficient clocking networks, secure vehicular communication protocols, and compute-in-memory architectures. The lab maintains active collaboration with industry partners on hardware security and neuromorphic computing initiatives while supporting graduate student research in cutting-edge IC design methodologies.

• VLSI CAD
• Low-power IC Design
• Mixed-signal IC Design
• +5 more

Daniela Di Giacomo is an Associate Professor at the School of Information Science within the College of Communication and Information at the University of Kentucky. Her research focuses on media literacy, civic education, youth development, and the integration of technology in learning environments. She holds a position at 353 Lucille Little Library and can be reached at daniela.digiacomo@uky.edu. Her work explores the intersection of education practices and digital media, emphasizing equitable access and policy implications. Key areas include out-of-school learning programs, democratic classroom practices, and the ethical use of educational technologies. Notable projects investigate the long-term impacts of arts participation among marginalized youth and the role of ungrading in fostering student autonomy. Recent publications highlight trends in media literacy policy, intergenerational partnerships, and the challenges of online learning during the pandemic. While no specific awards are listed, her research demonstrates significant contributions to educational equity and technology integration.

• Information Literacy
• Media Literacy
• Education Technology
• +5 more

Elizabeth S. Roberts-Kirchhoff is the Associate Dean for Academics and a Professor of Chemistry and Biochemistry at the University of Detroit Mercy's College of Engineering & Science. She holds a Ph.D. in Biological Chemistry from the University of Michigan (1991) and a B.S. in Chemistry from Texas A&M University (1986). Her research focuses on analytical chemistry applications in food safety, environmental monitoring, and biochemistry, including the use of X-ray fluorescence spectrometry to analyze dietary supplements and cosmetics, and the study of pesticide bioaccumulation in aquatic ecosystems. Key research projects include analyzing atrazine metabolites in crayfish tissues and investigating heavy metals (lead, mercury, arsenic) in kelp, clay supplements, and salt products. She also explores pedagogical strategies, such as active learning and service-learning projects in chemistry education. Her teaching spans courses like Biochemistry I/II, Medicinal Chemistry, and Chemical Information and Safety. Grants: Co-PI for atrazine bioaccumulation study ($8,641, 2016–2017) Co-PI for XRF analysis of sea salts/mineral cosmetics ($6,600, 2015–2016) Key personnel in NIH-funded BUILDing Detroit initiative ($21M, 2014–2019) Recognition includes the Salute to Excellence Award (2012) and travel awards from the ACS and UDM. She mentors undergraduate researchers and collaborates on interdisciplinary projects linking chemistry with public health and environmental science.

• Analytical Chemistry
• Biochemistry
• Environmental Chemistry
• +3 more

Dr. Ali Nazarpour is an Assistant Professor in Management at the School of Business, Maynooth University. He holds a PhD in Operations and Supply Chain Management from University College Dublin’s Smurfit School of Business, along with a BSc in Industrial Engineering and an MSc in Business Administration from Iran University of Science and Technology. Prior to his academic career, he spent nine years in industry roles, including Sales Supervisor, Marketing and Sales Planning Chief, and Inventory Management Project Manager in the automotive sector, alongside teaching and research activities. His work bridges industry experience with academic rigor, focusing on supply chain optimization, mass customization strategies, and AI integration in business processes. Education: PhD in Operations and Supply Chain Management (Smurfit School of Business, UCD) MSc in Business Administration (Iran University of Science and Technology) BSc in Industrial Engineering (Iran University of Science and Technology) Research Interests: Artificial Intelligence applications in supply chain and logistics Mass customization feasibility across industries and countries Third-party logistics selection methodologies Project management and risk mitigation strategies Global logistics frameworks Industry 4.0 technologies for operational efficiency His publications and conference contributions between 2014 and 2021 highlight trends in leveraging AI for supply chain decision-making, analyzing mass customization challenges, and exploring cross-country operational dynamics. Despite no explicit scientific awards listed, his active participation in conferences like INFORMS, POMS, and EurOMA underscores his academic engagement. In advising and teaching, he focuses on Contemporary Issues in Management, Operations and Supply Chain Management metrics, and Project Risk Management. His industry experience enriches classroom discussions and research projects. He is based in the TSI Building (Room 253) and reachable via ali.nazarpour@mu.ie or phone (01) 474 7516.

• Operations and Supply Chain Management
• Artificial Intelligence
• Mass Customization
• +4 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Saibal Ray is a James McGill Professor of Operations Management and Vice-Dean, Faculty at the Desautels Faculty of Management, McGill University. He holds the Desautels Business Leadership Chair and has served in multiple academic leadership roles, including Vice-Dean, Research and Academic Director of the Bensadoun School of Retail Management. His expertise spans supply chain management, risk management, and retail operations, with a focus on agri-food and natural resources sectors. He has published extensively in top journals like Management Science and Operations Research, and holds editorial roles at journals such as Production and Operations Management. Ray earned a PhD from the University of Waterloo, an MEng from the Asian Institute of Technology, and a BEng from Jadavpur University. His research bridges operations and marketing, addressing challenges like supply chain risk, pricing strategies, and sustainability. He has secured major grants from NSERC, SSHRC, and Quebec agencies, and received awards including the Desautels Faculty Scholar and Quebec Teaching Excellence Award. His teaching focuses on operations and supply chain management at the MBA and graduate levels. Ray’s work integrates academic leadership with practical impact, advising on initiatives like the McGill Center for the Convergence of Health and Economics. His recent research explores behavioral retail tactics, health-conscious bundling, and supply chain resilience in dynamic markets.

• Supply Chain Management
• Supply Chain Risk Management
• Retail Operations Management
• +3 more

Dr. Yelda Turkan is an Associate Professor in the School of Civil and Construction Engineering at Oregon State University and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). Her research focuses on leveraging computer vision, machine learning, and digital twins to enhance sustainability and resilience in the built environment. She holds a Ph.D. in Civil Engineering from the University of Waterloo, Canada, and dual B.Sc. degrees in Civil Engineering and Geomatics Engineering from Istanbul Technical University, alongside an M.Sc. in Remote Sensing. Her work integrates advanced technologies like LiDAR and BIM to improve construction monitoring, structural safety, and fire protection. She has authored over 80 peer-reviewed publications and secured $4.5M in grants from agencies like the NSF. Dr. Turkan serves as Vice President of the International Association for Automation and Robotics in Construction and chairs the ASCE Computing Division Executive Committee. Her research spans digital twins for infrastructure performance, fire safety simulations, and automated progress tracking. Key contributions include frameworks for bridge construction monitoring, fire safety management in timber structures, and BIM-based energy fault detection. Awards include the Robert C. Wilson Faculty Scholar (2023–2025) and ASCE ExCEEd Teaching Fellow (2015).

• Digital twins
• Scan-to-BIM
• Machine learning
• +7 more

Felipe Hernández is an Assistant Professor in the Department of Mathematics at Pennsylvania State University. He is affiliated with the Department of Mathematics, located in McAllister Building, and can be contacted at felipeh@psu.edu. His research interests span Mathematical Physics, Partial Differential Equations, and Probability, with a focus on quantum systems, stochastic processes, and theoretical analysis of complex systems. His work explores topics such as quantum diffusion in disordered systems, decoherence dynamics, and the interplay between classical and quantum mechanics. He also investigates computational methods like neural networks to enhance accuracy in quantum chemistry calculations and explores foundational questions in quantum computing, such as BosonSampling complexity. Recent contributions include studies on Hodge systems, divergence-free vector fields, and endpoint estimates in functional analysis. While no specific awards or grants are listed, his research demonstrates a commitment to advancing mathematical physics and computational methods through rigorous theoretical analysis and interdisciplinary approaches.

• Mathematical Physics
• Partial Differential Equations
• Probability
• +3 more

Ina Horlings is a Professor at the Faculty of Spatial Sciences, University of Groningen, affiliated with the Urban and Regional Studies Institute. Her work focuses on sustainable development, spatial planning, and climate adaptation. She contributes to UN Sustainable Development Goals through her research on citizen engagement in urban green spaces, co-creation strategies, and transformative community practices. Her research explores intersections of environmental policy, urban planning, and social innovation. Notable topics include subnational climate leadership, stakeholder acceptance of floating developments, and resourceful resilience in communities. She has published extensively in peer-reviewed journals and books, with over 80 research outputs since 2015. Education: Ph.D. in Spatial Sciences (details not explicitly provided in text). Grants/Advising: Supervised 7 academic works and engaged in multiple funded projects addressing climate adaptation and urban sustainability. Horlings actively collaborates internationally, presenting at conferences and contributing to policy discussions. Her work emphasizes place-based approaches, cultural sustainability, and the role of leadership in driving environmental and social change.

• Sustainable Development
• Spatial Planning
• Climate Adaptation
• +4 more

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +5 more

Bunji Izumi is an Assistant Professor at the Department of Architecture and Technology, Faculty of Architecture and Design, NTNU, supported by the Scandinavia-Japan Sasakawa Lectureship. He holds a Dipl.-Ing., M.Sc., and B.Eng., and is a registered architect in Japan. His career includes roles at Nikken Sekkei Ltd. (Tokyo) as Senior Computational Designer and Associate in Structural Design, and at Driendl Architects in Vienna, Austria. His research focuses on structural engineering, timber-steel composite systems, fire safety, digital design, and sustainable architecture. Key areas include optimization methods in architectural design, circular timber structures, and interdisciplinary collaboration between architects and engineers. Publications highlight work on foldable canopies, fire-resistant composites, BIM integration, and structural education reforms. He contributes to exhibitions like IASS 2019 and collaborates on projects such as the Shogakukan Building and Vienna Indoor Swimming Pool. His educational background includes postgraduate studies at TU Vienna and the University of Tokyo, emphasizing structural design and timber engineering. Current research trends emphasize sustainability, circular design, and computational workflows.

• Structural Engineering
• Timber and Steel Composite Structures
• Fire Safety Engineering
• +5 more

Nick Audette is an Assistant Professor in the Department of Psychological Sciences at the University of Connecticut (UConn). He leads the Audette Lab, established in January 2025 at the Storrs campus, where his team investigates how the brain integrates sensory input with environmental context and experience to enable perception. His research employs large-scale neural recordings in mice during acoustically enriched behaviors. Dr. Audette earned his Ph.D. in 2018 from Carnegie Mellon University. His primary research areas include: Flexible sensory processing in thalamocortical circuits Neural mechanisms of learning and memory consolidation Movement-based predictions in auditory cortex Stimulus-specific prediction error encoding His recent publications (2014-2025) demonstrate a consistent focus on predictive processing mechanisms in sensory systems. Key trends include: Thalamocortical plasticity during sensory learning Movement-related neural predictions in auditory cortex Stimulus-specific error detection neurons Translaminar circuit organization High-throughput analysis of neural plasticity Methodologically, his work combines electrophysiology, behavioral paradigms, and advanced imaging techniques. Dr. Audette currently advises two undergraduate researchers, Claudia and Ava, on a project developing high-throughput behavioral assays linking lever-press movements to auditory predictions in mice. The lab has secured space in UConn's Bousfield Psychology Building and plans electrophysiological investigations of sensory prediction encoding.

• Flexible Sensory Processing
• Thalamocortical Circuits
• Learning and Memory
• +3 more