Find Academic Supervisors

Carla G MachadoView profile

Assistant Professor

• Sustainable Operations Management
• Industry 4.0
• Supply Chain Management
• +4 more

Carla G Machado serves as Assistant Professor in Business Administration at Jönköping International Business School (JIBS), Sweden, and Director of Societal Engagement. She joined JIBS and the Centre for Family Entrepreneurship and Ownership (CeFEO) in 2020 after extensive industry experience in industrial marketing, communication, and sustainability auditing for major family-owned Brazilian industrial groups and the Inter IKEA Group. Her research focuses on sustainable operations management within Industry 4.0 contexts , examining organizational digital readiness, supply chain resilience, and sustainable frameworks for family businesses. As an active member of the global 'Supply Chain 4.0' network, she explores digital transformation applications in diverse business contexts including family firms. Her teaching portfolio spans Supply Chain Management, Sustainable Operations, Logistics, Industrial Marketing, and Business Strategy. Analysis of her 15 most recent publications reveals consistent emphasis on sustainability integration with digital technologies, particularly examining ESG frameworks, circular economy applications, and resilience strategies in supply chains. The research demonstrates strong methodological diversity including systematic reviews, conceptual frameworks, and empirical case studies across manufacturing and family business contexts. Her scientific contributions include developing maturity frameworks for sustainable operations and digital readiness assessment tools. While no formal awards are documented, her work shows significant collaborative engagement through global research networks and practical industry applications. Machado actively advises on societal engagement initiatives through her directorship role and contributes to executive education programs. Her research trajectory indicates growing focus on integrating family business dynamics with sustainable operational frameworks, particularly examining how family firms act as 'systemic irritators' within sustainable entrepreneurial ecosystems.

• Information Processing Systems
• Internet of Things (IoT)
• Edge Computing
• +4 more

Marcello Pietri is a Researcher (td art. 24 c. 3 lett. A) and Contract Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His work focuses on Information Processing Systems, with expertise in IoT, Edge Computing, and Digital Twins. He teaches courses like 'Sistemi Informativi' (Information Systems) for the Engineering Management program, emphasizing database design, SQL, and web application development with Python. His research explores advanced topics including Digital Twin integration in Industry 5.0, Fluid Computing in IoT ecosystems, and Smart City data fusion using 5G MEC architectures. He collaborates with institutions like the DIPI Lab (Distributed and Pervasive Intelligence Group), contributing to projects on telecom security, energy forecasting, and human-centric manufacturing systems. Recent publications highlight innovations in operator digital twins for workplace well-being, distributed data mesh models for IoT-edge-cloud systems, and adaptive monitoring algorithms for large-scale cloud environments. His work bridges theoretical advancements with practical implementations, addressing challenges in scalability, real-time data processing, and interdisciplinary collaboration.

Thomas TscheulinView profile

Assistant Professor

• Pollinator Ecology
• Biodiversity Conservation
• Ecosystem Services
• +6 more

Thomas Tscheulin is an Assistant Professor in the Department of Geography at the University of the Aegean, focusing on pollinator ecology, biodiversity conservation, and the impacts of environmental disturbances like climate change and habitat degradation. He teaches courses in Ecology, Biogeography, and Environmental Threats. University of Freiburg (Biology, Germany) PhD in Population Ecology, Imperial College London (UK) His research examines how agricultural practices, invasive species, and climate change affect pollinator communities (wild bees, Syrphidae) across local to regional scales. He has contributed to understanding pollination networks, fire ecology, and thermal tolerance in bees. Recent publications analyze olive fly dynamics, thermal stress responses, and habitat management through AI-driven monitoring. Collaborative projects include POL-AEGIS and LIFE 4 POLLINATORS. While no specific awards are documented, his work appears in journals like Science of the Total Environment and Nature Communications . He mentors PhD and MSc students in pollination studies and collaborates across Europe on biodiversity research.

GOH Khim YongView profile

Associate Professor

• Digital Media Marketing
• Social and Mobile Media Platforms
• Digital Platform Ecosystems
• +3 more

Dr. GOH Khim Yong is an Associate Professor and Head of the Department of Information Systems and Analytics at the National University of Singapore (NUS School of Computing). He holds a Ph.D. in Business Administration (University of Chicago), M.Sc. and B.Sc. in Computer & Information Sciences (NUS). His research focuses on digital media marketing, social/mobile platforms, AI pricing strategies, and econometric methods. He advises major firms like Alibaba, Lazada, and Johnson & Johnson across industries such as e-commerce, healthcare, and retailing. Educations: Ph.D., Business Administration, University of Chicago (2005) M.Sc., Computer & Information Sciences, NUS (1998) B.Sc., Computer & Information Sciences, NUS (1997, First-Class Honours) His research explores digital transformation, AI-driven pricing, live-streaming commerce, and consumer behavior in platform ecosystems. Notable projects include studying AI pricing agents' impact on e-commerce sales and analyzing live-streaming dynamics' socio-economic effects. He has published in top journals like Management Science and Information Systems Research , and his work frequently addresses practical industry challenges. Recipient of prestigious awards including the International Conference on Information Systems Best Paper Award (2022) and AIS Distinguished Member (2021). He teaches courses in econometrics and data analytics across NUS and the University of Chicago. His former Ph.D. students hold faculty positions at institutions like Tsinghua University and the Chinese University of Hong Kong (Shenzhen).

Aleksandar JevremovićView profile

Professor

• Human-Computer Interaction (HCI)
• Cybersecurity
• Internet of Things (IoT)
• +6 more

Aleksandar Jevremović is a Full Professor at the Faculty of Informatics and Computing, Singidunum University (Belgrade, Serbia), and holds multiple academic and professional roles. He is the Serbian representative at the UNESCO IFIP Technical Committee on Human-Computer Interaction since 2018. He has served as Vice-Dean of his faculty (2015–2018) and held visiting professorships at institutions like Ss. Cyril and Methodius University (North Macedonia) and Tallinn University (Estonia). His research focuses on cybersecurity, IoT, AI, and e-learning innovation. Education and Affiliations: External Researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts Visiting Scholar at Cyprus Interaction Lab (Cyprus University of Technology) Alumni/Postdoc Researcher at Tallinn University's HCI Group Member of IEEE and the Informatics Association of Serbia Research Interests: Jevremović’s work spans cybersecurity (e.g., intrusion detection, secure IoT protocols), human-computer interaction (HCI), AI-driven education tools, and neurotechnological applications like EEG-based assessment systems. He emphasizes practical solutions for digital safety, such as children’s online protection and cryptographic key generation from biometric data. Grants and Projects: Member of the External Advisory Committee for the EU-funded ONTOCHAIN project (2022–2023) Mentor for training schools like AAPELE Training School and NET4Age-Friendly initiatives Trainer in IoT, cybersecurity, and health promotion programs across Europe Labs and Teams: He collaborates with interdisciplinary teams on projects like CASPER (Children Agents for Secure and Privacy Enhanced Reaction) and led the development of WIDE, a collaborative web development education platform.

Debbie GingView profile

Professor

• Digital Media Studies
• Gender and Sexuality Politics
• Online Misogyny and Hate Speech
• +5 more

Debbie Ging is a Professor of Digital Media and Gender in the School of Communications at Dublin City University (DCU), located on the Glasnevin Campus. She holds editorial roles with journals Men and Masculinities and New Media and Society , and is affiliated with the National Anti-Bullying Research and Resource Centre and the Institute for Future Media, Democracy and Society (FuJo). Her research focuses on gender, sexuality, and digital media, with particular attention to online misogyny, incel radicalization, and youth digital rights. Her work explores digital hate speech, anti-feminist movements, and educational strategies to combat gender-based violence. Recent projects include cross-national studies on sexual violence prevention workshops and longitudinal analyses of extremist language in online spaces. She collaborates internationally, addressing policy implications for digital citizenship and AI ethics. Debbie currently supervises four PhD students investigating far-right online movements, journalist harassment in India, LGBTQ+ digital literacy, and incel ideology dynamics. Her contributions span over 50 peer-reviewed articles, emphasizing methodological innovation in studying online subcultures.

Michalis MountantonakisView profile

Researcher

• Large-Scale Semantic Data Integration
• Linked Open Data
• Semantic Web
• +4 more

Michalis Mountantonakis is a Postdoctoral Researcher at FORTH and Laboratory Teaching Staff in the Department of Computer Science at the University of Crete, Greece. He holds a PhD (2020), MSc (2016), and BSc (2014) in Computer Science from the University of Crete, all with top grades. His research focuses on Large-Scale Semantic Data Integration, Linked Open Data, and Semantic Web technologies, with over 45 publications in top venues like ACM VLDB, ISWC, and ECML. He has been awarded the prestigious SWSA Distinguished Dissertation Award (2020) and the Maria Michael Manasaki Fellowship (2020). His work includes tools like LODsyndesis and LODChain, addressing challenges in knowledge graph connectivity and validation of AI-generated content. Education: PhD in Computer Science (2016-2020), University of Crete (Excellent GPA 9.74/10) MSc in Computer Science (2014-2016), University of Crete (Excellent GPA 9.87/10) BSc in Computer Science (2010-2014), University of Crete (2nd in class with GPA 8.42/10) Research Interests: His work bridges semantic web technologies with modern AI challenges, emphasizing large-scale data integration, knowledge graph applications, and validation frameworks. He has contributed to cultural heritage informatics, machine learning-augmented semantic systems, and cross-lingual NLP solutions. Recent trends include leveraging LLMs for query generation and semantic enrichment while ensuring factual accuracy through knowledge graph-driven validation. Key Achievements: Developed LODsyndesis, a global-scale semantic integration service Pioneered real-time validation of ChatGPT responses using RDF knowledge graphs Won Best Paper Award (ISWC 2022) for entity enrichment techniques Recipient of Stelios Orphanoudakis Undergraduate Fellowship (2013-2014) Participated in Roche Continents 2019 (top 100 European science students) Grants & Labs: His research has been supported by GSRT/HFRI. He collaborates with FORTH-ICS and leads projects in EU-funded initiatives like iMarine and BlueBridge. Current work focuses on governance models for ontologies, interoperable thesaurus creation (e.g., FoodEx2), and semantic analytics for cultural heritage datasets.

Gail PatricelliView profile

Professor

• Animal Communication
• Sexual Selection
• Behavioral Ecology
• +3 more

Gail Patricelli is a Professor in the Department of Evolution and Ecology at the University of California, Davis. Her research focuses on animal communication, sexual selection, and the impacts of anthropogenic activities like noise pollution on wildlife behavior and ecology. She employs innovative methods such as robotics, acoustic monitoring, and ecological observatory networks to study species like greater sage-grouse (Centrocercus urophasianus) and satin bowerbirds (Ptilonorhynchus violaceus). Her work bridges evolutionary biology, behavioral ecology, and conservation, with particular attention to how environmental changes affect mating systems and population dynamics. Patricelli’s research has examined how sage-grouse lekking behavior responds to habitat structure, social networks, and experimental noise pollution. She has pioneered the use of robotic females to study courtship negotiation and signal complexity in birds. Her studies on the physiological and behavioral effects of traffic noise on nestlings have advanced understanding of anthropogenic stressors in free-living populations. She also investigates the role of acoustic directionality and signal evolution in avian communication. Her lab’s interdisciplinary approach integrates field observations, experimental manipulations, and computational modeling to address questions in behavioral ecology. Key themes include sexual selection mechanisms, the evolution of communication systems, and conservation implications of human environmental impacts. Patricelli is affiliated with the Patricelli Lab at UCDavis and maintains an active research program supported by grants focused on biodiversity monitoring and sagebrush ecosystem management.

Adlen KSENTINIView profile

Professor

• Mobile and Wireless Networks
• Software Defined Networking (SDN)
• Mobile Edge Computing (MEC)
• +7 more

Adlen KSENTINI is a Professor at EURECOM's Communication Systems department, specializing in advanced networking technologies. His research focuses on Mobile and Wireless Networks, Software Defined Networking (SDN), Mobile Edge Computing (MEC), Network Function Virtualization (NFV), and Content Delivery Networks (CDN), with an emphasis on performance evaluation and network virtualization. He has contributed to projects like AC3 and 6G-BRICKS, exploring cloud-edge continuum integration and 6G infrastructure. Key research interests include virtualized mobile core networks, carrier cloud systems, and AI-driven network management. He has received Best Paper Awards at IEEE WCNC 2018 and IWCMC 2016 for works on network slicing and LTE modeling accuracy. His work often integrates machine learning for optimization, sustainability, and security in 5G/6G networks. Distinctions: Two Best Paper Awards Labs/Teams: Involved in EU-funded projects like AC3 and 6G-BRICKS Grants: Not explicitly listed, but active in collaborative research initiatives

• Digitalization
• Sustainable Development
• Climate Change Mitigation
• +3 more

Professor Lars Andraschko is an Assistant Professor at ESSEC Business School's Department of Information Systems, Data Analytics and Operations. He holds a PhD in Information Systems from the University of Augsburg (Germany), where he also served as a postdoctoral researcher. Previously, he held a visiting professorship at Lund University. His research explores how digitalization drives sustainable development, particularly focusing on digital technologies' role in climate change mitigation. He employs both qualitative and quantitative methods to bridge theoretical and practical societal challenges. Education: PhD in Information Systems (University of Augsburg, 2024). Career: Joined ESSEC Business School in 2024 as Assistant Professor. Teaching includes 'Managing IT in the Digital Age' and project supervision at the Accenture SBA Chair. Research interests span sustainable digitalization, smart technology adoption, and the intersection of technology with environmental and social goals. His recent work examines topics like social media for sustainability mindfulness, paradoxes in digital transformation, and smart home technologies' ecological impact. While no specific awards are listed, his publications reflect active contributions to information systems and sustainability studies. Advising activities include supervision of student projects at Accenture.

Yang GaoView profile

Assistant Professor

• Social Media Management
• Healthcare Operations
• Customer Service
• +3 more

Yang Gao is an Assistant Professor of Business Administration at the University of Illinois at Urbana-Champaign’s Gies College of Business. He joined the faculty in 2023 after serving at Singapore Management University. His research focuses on social media’s role in healthcare, customer service, and misinformation dynamics. Gao holds a Ph.D. in Information Systems from the University of Rochester (Simon Business School) and a B.S. in Information Systems from Tianjin University. Education: Ph.D., Information Systems, Simon Business School, University of Rochester, 2021 B.S., Information Systems, College of Management and Economics, Tianjin University, 2015 His research explores how social media influences customer service dynamics, healthcare operations, and the mitigation of misinformation. Notable works include studies on AI agents in customer interactions, the impact of social bots on user engagement, and the role of identity cues in text-based service. His recent work on Community Notes and crowdchecking mechanisms has advanced understanding of misinformation governance on platforms like X (Twitter). Key Contributions: Analysis of social media’s role in accelerating product recalls in pharmaceuticals Experimental studies on operations management practices Investigations into AI-driven customer service strategies Gao’s articles span journals like MIS Quarterly , Journal of Operations Management , and Information Systems Research , reflecting his interdisciplinary approach to business analytics and digital transformation.

Xiao-Li MengView profile

Professor

• Statistical Inference
• Bayesian Methods
• Data Science
• +4 more

Xiao-Li Meng is the Whipple V. N. Jones Professor of Statistics at Harvard University and Founding Editor-in-Chief of the Harvard Data Science Review. He has held leadership roles including Chair of Harvard's Department of Statistics (2004-2012) and Dean of the Graduate School of Arts and Sciences (2012-2017). A globally recognized statistician, he was awarded the COPSS President’s Award (2001) as the best statistician under 40. His research spans foundational statistical theory, computational methods (e.g., EM algorithm, MCMC), and interdisciplinary applications in astronomy, public health, and engineering. Meng earned his BS in Mathematics from Fudan University (1982) and PhD in Statistics from Harvard (1990), with a faculty tenure at the University of Chicago before returning to Harvard in 2001. His work emphasizes bridging theoretical and applied statistics, with notable contributions to Bayesian inference, differential privacy, and astrostatistics. He authored the influential column The XL-Files in the IMS Bulletin, blending technical insight with accessible commentary. Meng advocates for data science education and ethical AI, emphasizing collaboration across disciplines and societal sectors. His leadership has shaped Harvard’s graduate programs and data science initiatives, while his over 150 publications and 400+ presentations reflect a prolific career at the intersection of academia and public impact. Awardees include the IMS Fellowship, ASA Founders Award, and NSF CAREER Award. His current projects explore generative AI ethics, data democratization, and statistical paradigms in big data environments. Meng’s vision prioritizes ‘conducting principled data science’ through rigorous methodological development and societal accountability.

Noemi VergopolanView profile

Assistant Professor

• Computational hydrology
• Satellite remote sensing
• Earth system modeling
• +3 more

Noemi Vergopolan is an Assistant Professor in Earth, Environmental and Planetary Sciences at Rice University. Her research focuses on computational hydrology and the water-climate nexus, leveraging satellite remote sensing, machine learning, and high-performance computing to improve hydrological prediction and decision-making for water resource management. Education: B.S. in Environmental Engineering (Federal University of Paraná), M.A. and Ph.D. in Civil and Environmental Engineering (Princeton University). Research Interests: Computational hydrology, satellite remote sensing of soil moisture, Earth system modeling, and the water-energy-food nexus. Her work emphasizes scalable approaches for high-resolution hydrological prediction and bridging gaps between local and global monitoring systems. Awards: 2022 American Geophysical Union - Science for Solutions Award 2022 Paul F. Boulos Excellence in Computational Hydrology Award Her research includes developing frameworks like HydroBlocks and SMAP-HydroBlocks for field-scale hydrological modeling, advancing drought monitoring, and integrating machine learning with climate models. Current projects address flash drought dynamics, agroforestry systems, and hyper-resolution soil moisture applications in India and Malawi.

Andrew HeinView profile

Assistant Professor

• Computational Biology
• Theoretical Ecology
• Behavioral Ecology
• +3 more

Andrew Hein serves as Assistant Professor in the Department of Computational Biology at Cornell University's College of Agriculture and Life Sciences (CALS), where his research bridges behavior, ecology, and neurobiology through computational frameworks. His lab investigates how organisms process environmental information and how these mechanisms scale to influence ecological interactions and ecosystem dynamics, with significant emphasis on developing AI-driven tools for behavioral data acquisition. Hein earned his PhD in theoretical and computational biology from the University of Florida under Jamie Gillooly (Biology) and Scott McKinley (Mathematics), followed by a James S. McDonnell postdoctoral fellowship at Princeton University with Simon Levin and Iain Couzin. From 2016-2022, he founded and directed the Ecology of Information Lab jointly operated by NOAA's Santa Cruz Laboratory and UC Santa Cruz' Institute of Marine Sciences. His research focuses on computational models of information flow in biological systems, particularly examining how socially transmitted misinformation spreads in wildlife, behavioral responses to environmental change, and neural mechanisms underlying collective behavior. The lab pioneers computer vision applications for ecological monitoring and integrates fluid dynamics with machine learning to decode animal migration strategies, emphasizing real-world data applicability. Recent publications demonstrate a trajectory toward AI-enhanced ecological research, with studies in PNAS and Current Biology addressing misinformation suppression in animal groups, machine learning transparency for marine science, and behavioral feedback loops in changing ecosystems. This work reveals growing interdisciplinary convergence between computational methods and ecological theory. Hein's scientific recognition includes: Presidential Early Career Award for Scientists and Engineers (2025) NSF CAREER award (2024) US National Academy of Science Cozzarelli Prize James S. McDonnell Postdoctoral fellowship National Science Foundation IGERT fellowship National Science Foundation graduate research fellowship The Hein Lab actively mentors graduate and undergraduate researchers through Cornell's Computational Biology program, with current projects funded by multiple agencies: NSF Rules of Life grant on "multivalent" biological interactions NOAA initiative developing underwater machine vision tools NSF research on attack/evasion behavior robustness Based in Cornell's Atkinson Hall, the Hein Lab operates as a collaborative hub where biologists, computer scientists, and engineers develop computational frameworks to decode behavioral algorithms in natural systems, with ongoing work expanding AI applications for ecological forecasting and conservation.

Sarah HamyltonView profile

Associate Professor

• Coastal Geomorphology
• Remote Sensing
• Coral Reef Ecology
• +4 more

Assoc. Professor Sarah Hamylton holds a position at the University of Wollongong's School of Earth, Atmospheric and Life Sciences (SEALS). Her research focuses on coastal geomorphology, coral reef ecology, and mangrove ecosystems, integrating spatial analysis with art-science collaboration. She leads interdisciplinary projects addressing climate change impacts on coastal environments and promotes gender equity in fieldwork practices. Her work combines remote sensing, GIS modeling, and field-based studies to assess reef island dynamics and sediment transport processes. Hamylton has secured significant funding through grants such as the Australian Research Council's 'Mangrove sustainability on the Australian coast' (2022-2025) and the Advancement and Equity Grants Scheme for Research. These projects explore mangrove carbon storage, island vulnerability, and sustainable coastal management strategies. She actively supervises PhD and Master’s students in topics like interdisciplinary approaches to island sustainability and mangrove extent dynamics. Her research outputs emphasize geospatial analysis of coral reef systems, including studies on sediment dynamics, microatoll detection via drone imagery, and historical reef development. Collaborations span environmental humanities, leveraging songwriting and art to enhance public engagement with climate science. Hamylton's work bridges physical and social sciences, addressing both ecological and human dimensions of coastal change.