Find Academic Supervisors

• LLM-assisted agent systems
• Explainable AI
• Multimodal artificial intelligence
• +12 more

Dr. Yifei Dong is a Research Fellow at the Data Science Institute , University of Technology Sydney, with expertise in LLM-assisted agent systems , explainable AI , and multimodal artificial intelligence . Holding a PhD in Computer Science from UNSW Sydney and over a decade of fintech industry experience including CTO roles, he has secured $2.4 million in competitive funding for AI solutions bridging academia and real-world applications in healthcare, education, and finance. Education : PhD in Computer Science from UNSW Sydney Current Role : Research Fellow at UTS Data Science Institute (2023–present) Past Academic Appointments : Lecturer at Southern Cross University and Western Sydney University Dr. Dong’s research focuses on making AI systems transparent and socially beneficial , with contributions to adversarial AI, trustworthy digital societies, and wireless sensor networks. His recent work includes: Developing AICAttack (2025) for adversarial image captioning attacks Creating the QMAD fairness metric (2025) for dynamic environments Advancing explainable ECG diagnosis systems (2025) via multimodal LLMs As a scientific awardee (2025 RegTech Social Impact of the Year), he has pioneered AI solutions for vulnerable populations, such as NDSI participants through the "My Complaint Assistant" tool. His supervision of PhD and Honours students emphasizes technical rigor and ethical responsibility.

• Remote Sensing
• Forestry
• Geospatial Data Fusion
• +4 more

Dr. Jim O'Hehir is a Researcher affiliated with the University of South Australia under the UniSA STEM school and the Sustainable Infrastructure and Resource Management (SIRM) department. He also serves as the General Manager of the Forestry Centre of Excellence at the university. His work spans interdisciplinary applications in remote sensing, geospatial analysis, and virtual reality for forestry. He collaborates with institutions like the University of Tasmania, OneFortyOne Plantations, and the National Institute for Forest Products Innovation (NIFPI), with recent grants from the Australian Government Research Training Program Scholarship , Gottstein Trust , and industry partners. Dr. O'Hehir’s research focuses on overcoming technical limitations in forest inventory systems through LiDAR data fusion , UAV-based hyperspectral imaging , and VR visualization techniques . His 2024 publications highlight innovations in 3D point cloud generation, multispectral residue assessment, and AI-driven fire suppression frameworks. He contributes to policy discussions on carbon storage optimization in timber plantations under Australia’s Emissions Reduction Fund (ERF). 2024: 3D Point Cloud Fusion Using Aerial and Terrestrial Laser Scanning 2024: Multispectral Assessment of Clean-Row Treatments 2024: Immersive VR for Forest Point Clouds 2024: AI in Fire Smoke Detection 2023: Sub-Metre Geospatial Feasibility His grants and collaborations emphasize operational efficiency in forestry, with teams like the Forestry Centre of Excellence and partnerships with Geoscience Australia and Swinburne University of Technology . Future work includes scaling onboard AI for satellite missions and refining standards for data fusion in sub-canopy environments.

Carlos Sandoval OlascoagaView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Inclusive Design
• Design Computing
• +4 more

Carlos Sandoval Olascoaga is Assistant Professor of Human-Computer Interaction and Inclusive Design at Northeastern University's School of Architecture, with an affiliate appointment at Khoury College of Computer Sciences. He directs the Scalable Design Participation Lab and combines design, computing, and urban data to create formal computational methods for community-driven environmental shaping. PhD, Design and Computation, MIT MS, Computation, MIT MArch, UC Berkeley BArch, UNAM His research spans human-computer interaction, geo-computing, and collaborative computational design. Current projects focus on inclusive design tools, civic AI applications, and open-source urban analytics platforms, supported by grants from MIT Leventhal Prize, Autodesk, and the Open Knowledge Foundation. Recent publications address computational paradigms for design, participatory planning tools, and the political history of design technology. His upcoming book will establish critical frameworks for community-driven design tools. MIT Norman B. Leventhal City Prize Autodesk IDEA Studio Award MIT Presidential Fellowship

Conrad SandersonView profile

Researcher

• Artificial Intelligence
• Machine Learning
• AI Ethics
• +7 more

Dr. Conrad Sanderson is a Researcher and Team Leader at the Data61 division of CSIRO , focusing on artificial intelligence, machine learning, AI ethics, and high-performance numerical computing. He is also an Adjunct Professor at Griffith University . With over 150 publications and 11,000+ citations, he is renowned for developing influential open-source libraries like Armadillo and RcppArmadillo . Research Interests Artificial Intelligence & Deep Learning Responsible AI, Safe AI, and Ethical Trade-offs Numerical Linear Algebra and High-Performance Computing Recent Publications highlight advancements in: Dynamic graph anomaly detection via extreme value theory Fire propagation uncertainty estimation using neural emulators Resolving ethical tensions in AI implementation GPU-accelerated machine learning Scientific Awards Most cited paper award for thesis-based article Armadillo framework: 30+ million downloads Collaborations include researchers from Facebook, NASA, Boeing, and institutions like MIT and Stanford. His work bridges academia and industry through open-source contributions and interdisciplinary applications.

Christopher PalView profile

Associate Professor

• Artificial Intelligence
• Computer Vision
• Pattern Recognition
• +6 more

Christopher Pal is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a Ph.D. from the University of Waterloo, he has held academic positions at the University of Rochester and the University of Toronto, and industry roles at Interval Research and Microsoft Research's Interactive Visual Media Group. Fields of Expertise: Artificial Intelligence, Computer Vision, Pattern Recognition, Machine Learning, and Natural Language Processing Affiliations: CIFAR Chair in Artificial Intelligence, Institute for Data Valorization (IVADO) Member His research focuses on deep learning applications in visual question answering , medical image segmentation , and generative models . Recent work involves multimodal data analysis for climate modeling and vision-language systems for code generation. Key projects include CarbonSense for climate flux modeling and GeoCoder for geometry problem-solving AI. His 15 most recent publications (2023-2025) span topics from diffusion models to multi-agent systems , with emphasis on video generation , 3D animation , and environmental applications . Scientific recognition includes: CIFAR Chair in Artificial Intelligence IVADO Institute Membership Top-2% cited researcher (2021) He has supervised 22 Ph.D. and Master's students, with recent graduates working on generative AI , reinforcement learning , and medical imaging . Current research grants include MITACS-funded projects in software engineering agents and drone imagery analysis for tropical forest conservation.

Hubert JobView profile

Professor

• Protected Area Management
• Spatial Planning
• Regional Development
• +7 more

Univ.-Prof. Dr. Hubert Job is a Senior Professor of Geography and Regional Research at the Institute of Geography and Geology, Faculty of Philosophy, University of Würzburg. His work bridges spatial planning, regional development, and environmental economics with regional focus on Central Europe, the Alps, and Africa. Research Interests : Protected area management, ecological connectivity, sustainable tourism economics, socio-economic impact analysis, cultural landscape preservation, and transnational spatial governance. Projects : Leads PlanToConnect (€301,000 sub-budget) for ecological corridor integration in Alpine spatial systems, contributes to multi-regional input-output analyses (DBU-funded), and evaluates nature tourism impacts in Lüneburger Heide, Wadden Sea, and Bavarian Forest National Parks. Awards : Recipient of the Austrian Geographical Society's Hans Bobek-Preis (2000) for exceptional contributions to geographical research. Collaborations : Chairs ARL European Working Group AlpPlan, collaborates with institutions across Sweden, Mexico, Tanzania, and Italy, and integrates UNESCO MAB frameworks into Alpine conservation.

• Distributed Systems
• Computer Networks
• Peer-to-peer Algorithms
• +6 more

Öznur Özkasap is a Professor in the Department of Computer Engineering at Koc University's Graduate School of Sciences and Engineering. She serves as Head of Department and has research interests spanning distributed systems, computer networks, and energy-efficient networking protocols. Her work integrates artificial intelligence into distributed computing frameworks and explores security in peer-to-peer systems. Education: PhD (2000), MSc (1994), and BS (1992) from Ege University Research Areas: Distributed Systems, Cloud/Edge Computing, Network Security, and AI applications in distributed environments Her recent publications focus on blockchain-assisted distributed systems, federated learning optimization, and energy-efficient frameworks for software-defined networks. She explores multi-objective load balancing, decentralized energy trading, and secure P2P architectures. Key trends include cross-disciplinary applications of distributed computing in healthcare and energy systems. Professor Özkasap contributes to advancing edge computing, IoT-based sensor systems, and privacy-preserving mechanisms in decentralized environments. Her work addresses challenges in reliable network protocols, microgrid energy sharing, and security vulnerabilities in autonomous systems.

Simon J E TaylorView profile

Professor

• Modelling & Simulation
• Digital Infrastructures
• Cloud Computing
• +7 more

Professor Simon J E Taylor is a Professor of Computer Science and Vice Dean Research at the College of Engineering, Design and Physical Sciences, Brunel University London. He is Co-Director of the Modelling and Simulation Research Group and Adjunct Director of the Smart Technology Advancements for Health and Rehabilitation (STAHR) Centre. Research Interests: Modelling & Simulation Digital Infrastructures and Services Cloud Computing International Development Open Science His research focuses on high-performance simulation infrastructures, AI-based optimization, and open science applications in healthcare and industry. He has led international projects improving digital infrastructure across Africa and contributed to standards in simulation interoperability. Scientific Contributions & Leadership: Co-founder and former Editor-in-Chief of the Journal of Simulation Chair of ACM SIGSIM (2005–2008) General Chair, IEEE/ACM 2025 Winter Simulation Conference Executive Chair, Simulation Exploration Experience (SEE) Member, Computer Simulation Archive steering committee PhD Supervision & Teaching: Professor Taylor has supervised over 20 doctoral students and examined more than 25 PhDs globally. He leads modules in distributed computing and has developed several postgraduate degrees. He is actively involved in undergraduate and postgraduate teaching, including NATCOR courses, and supports student internships. Research Grants & Projects: Framework Development of Simulation-Augmented Many Objective Optimization for Sustainable Supply Chains (MITRE Corporation, 2023) HIDALGO: HPC and Big Data Technologies for Global Systems (EU, 2018–2021) COLA: Cloud Orchestration at the Level of Application (EU, 2017–2019) CloudSME: Cloud-based simulation platform for manufacturing (EU, 2013–2015) Sci-GalA: Science Gateways and e-Infrastructures in Africa (EU, 2015–2017)

• Artificial Intelligence
• Optimization
• Classification
• +3 more

Lucas Martínez Bernabéu is an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante , where he also serves as a senior technician at the University Institute of International Economics . His work bridges artificial intelligence with geographic analysis. Academic Training Doctorate in Information Society Technologies (2012) Computer Engineering (2003) His research focuses on AI applications for solving optimization and classification problems in functional regionalisation , particularly local labor markets and spatial interaction patterns. Recent publications demonstrate methodological advancements and critical evaluations of data sources like mobile phone records for geographic analysis. Teaching includes courses on Intelligent Systems and Programming 1 , delivered across undergraduate programs in Robotics Engineering and Computer Engineering with Business Administration. Over the last 10 years, he has taught these subjects multiple times at the University of Alicante. Research projects involve collaborations with international institutions and organizations like the Office for National Statistics and UTE Cercle Territorio Paisaje y Arquitectura , funded by Spanish ministries and local entities. Notably, he contributed to studies on mobile phone data validation for commuting analysis and adaptive evolutionary algorithms for labor market delineation. His publications and conference participation (e.g., NECTAR Conference 2024, SCORUS Conference 2024) highlight cross-disciplinary work at the intersection of AI, geography, and policy. No formal doctoral students have been supervised in the past five years.

Tolga OvatmanView profile

Professor

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

Khandakar AhmedView profile

Associate Professor

• Artificial Intelligence
• Cyber Security
• Digital Health
• +8 more

Khandakar Ahmed is an Associate Professor of Information Technology at Victoria University's College of Arts, Business, Law, Education & IT (CoABLEIT) and Discipline Leader for Emerging Trends in Science, IT & Engineering at the Institute for Sustainable Industries and Liveable Cities (ISILC). His career spans roles at Victoria University (2017–present), RMIT University (2015–2017), and Shahjalal University of Science and Technology (2007–2015). Education: PhD in Electrical and Computer Engineering (RMIT University, 2014), MSc in Networking and e-Business Centered Computing (University of Reading, 2009), BSc in Computer Science and Engineering (Shahjalal University of Science and Technology, 2007) His research expertise includes Artificial Intelligence, Cyber Security, Digital Health, Federated Learning, Quantum Computing, and the Internet of Things . He has published over 100 refereed papers with 4,200+ citations (h-index 32) and secured $3.4 million+ in funding since 2018 from partners like Australia's Economic Accelerator and Western Health. His recent work focuses on AI-driven mental health analysis , blockchain security frameworks , and edge computing optimizations . He serves as lead supervisor for 6 PhD and 1 Master of Research student and has mentored over 100 students through industry-linked projects. Dr Ahmed actively contributes to editorial roles for leading journals such as Scientific Reports , IEEE Transactions , and ACM Computing Surveys . His research aligns with UN Sustainable Development Goals 3 (Good Health), 9 (Industry Innovation), and 11 (Sustainable Cities).

Mariam Adedoyin-OloweView profile

Lecturer

• Data Mining
• Data Science
• Artificial Intelligence
• +3 more

Mariam Adedoyin-Olowe is a Lecturer and Programme Leader for the MSc Artificial Intelligence at Birmingham City University . Her research focuses on Data Mining, Data Science, and Artificial Intelligence, particularly in analyzing social media data for event detection and decision-making support. Doctorate in Computing Science from Robert Gordon University First degree from University of Portsmouth Research Interests center on applying data mining techniques to Twitter data for tracking real-world events, sentiment analysis, and customer segmentation. Her work bridges computational methods with practical applications in politics, sports, and healthcare domains. Key Publications include studies on: Transformer-based transfer learning for cross-lingual news events AI-driven mental fatigue detection systems Temporal clustering methods for social media event resolution Deep learning approaches for sound classification Rule dynamics frameworks for political event detection Academic Affiliations include membership in BCU's Data Mining Group and Data Analytics & Artificial Intelligence Research Group, as well as former involvement with RGU's Data Science and Information Retrieval groups. She regularly reviews for international conferences and journals.

• Remote Sensing
• Machine Learning
• Image Processing
• +4 more

Martina Pastorino is a Researcher in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa. Her work focuses on integrating machine learning with probabilistic graphical models for advanced remote sensing image analysis , particularly in multiresolution classification using satellite and UAV data. She teaches courses on Machine Learning for Pattern Recognition and Remote Sensing in master’s programs related to Internet and Multimedia Engineering and Energy Engineering . Research Interests : Remote Sensing, Machine Learning, Image Segmentation, Data Fusion, Hyperspectral Imaging, UAV Applications. Key Techniques : CNN-MRF Hybrids, CRFNet, Probabilistic Graphical Modeling, Multiresolution Analysis. Her recent publications explore applications in wildfire mapping , urban land-use analysis , and hyperspectral-panchromatic fusion , with a focus on improving semantic segmentation accuracy through hybrid deep learning frameworks. She is available for office hours on request via email at martina.pastorino@unige.it .

Ana Puig PuigView profile

Professor

• Gamification in Education
• Serious Games
• 3D Point Clouds
• +9 more

Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +6 more

Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.