Find Academic Supervisors

• Operations Research
• Simulation Modelling
• Optimization Algorithms
• +3 more

Dr William Jones is a Research Fellow in Planning and Optimisation at the University of Sydney, affiliated with the Australian Robotic Inspection and Asset Management (ARIAM) Research Hub and the Australian Centre for Field Robotics (ACFR). He holds a B.Sc. Eng. in Mechanical Engineering (Cardiff University, 2013) and an EngD in Systems (University of Bristol, 2019). His research focuses on Operations Research, simulation, and optimization of complex systems, particularly hybrid simulation methodologies. He has held postdoctoral roles at the University of Kent and the University of Sydney’s Rio Tinto Centre for Mine Automation. Research Interests: Dr Jones specializes in hybrid simulation models, combining multiple paradigms to optimize systems across transport, mining, healthcare, and telecommunications. His work emphasizes stakeholder engagement and model lifecycle management. Current projects include a digital twin for Garden Island’s dry dock in collaboration with Thales. Publications: His recent work spans hybrid simulation frameworks, rail network optimization, and wireless systems. Key themes include model development, stakeholder collaboration, and industry applications. He has contributed to journals like the Journal of the Operational Research Society and IEEE Transactions on Mobile Computing. Advising & Grants: While no advisees are listed, his industry collaborations highlight applied research funding. His work at ACFR and ARIAM involves significant grant-based projects focused on robotics and asset management. Labs & Teams: Active within the ACFR’s robotics and automation teams, he contributes to cross-disciplinary projects integrating robotics with operations research.

• Multiphase Flow in Porous Media
• Geological CO2 Storage
• Hydrogen Storage
• +3 more

Sajjad Foroughi is a Senior Postdoctoral Researcher at the Department of Earth Science & Engineering , Faculty of Engineering , Imperial College London. He is affiliated with the Imperial-Shell Digital Rocks Program , where he focuses on pore-scale and continuum-scale modeling of multiphase flow in porous media. His research addresses critical challenges in energy transition technologies, including geological CO2 storage , hydrogen storage , electrochemical devices , and subsurface energy systems . Research Focus Dr. Foroughi's work bridges fundamental physics of porous media with applied energy systems. Key research areas include: Optimization of electrochemical devices (batteries, fuel cells) Hysteresis and trapping mechanisms in hydrogen storage Ostwald ripening effects on displacement processes Multiscale modeling of capillary pressure and relative permeability Applications in carbon capture and storage (CCS) and geothermal energy Technical Expertise His methodologies combine: Micro-CT imaging for pore-scale characterization Lattice Boltzmann simulations Network modeling of heterogeneous carbonates Deep learning for uncertainty quantification Image segmentation and contact angle measurement

Hanna KurniawatiView profile

Professor

• Robotics
• Decision-Making Under Uncertainty
• Motion Planning
• +4 more

Hanna Kurniawati is a Professor at the ANU School of Computing and holds the SmartSat CRC Professorial Chair for System Autonomy, Intelligence, and Decision-Making. She leads the ANU Node and Planning & Control theme of the ARIAM Hub, and founded the Robot Decision Making group. Her research focuses on scalable algorithms for decision-making under uncertainty, particularly in robotics and autonomous systems. She has received prestigious awards, including the RSS 2021 Test of Time Award and multiple best-paper recognitions. She is an active conference organizer and editorial board member for journals like IEEE Transactions on Robotics. Education: BSc Computer Science, University of Indonesia PhD Computer Science (Robot Motion Planning), National University of Singapore (2008) Research Interests: Planning under uncertainty and POMDP frameworks Robot motion planning and computational geometry Integration of planning and reinforcement learning Autonomous system assurance and safety Service and Leadership: Former President of the Australian Robotics and Automation Association (2019–2020) Keynote speaker at ICRA 2025, IROS 2018, and ICAPS 2025 Program Co-Chair for ICRA 2022 and Editor roles for IEEE TRO and RA-L Teaching: Advanced Topics in AI (COMP4620/8620) Advanced Topics in Machine Learning (COMP4680/8650) Algorithms (COMP3600/6466)

• Blockchain Technology
• Smart Contracts
• Privacy Engineering
• +5 more

Dawn Jutla is a Professor at the Sobey School of Business, Saint Mary's University, holding the Scotiabank Chair in Technology Entrepreneurship. Her primary focus is on blockchain technology, smart contracts, privacy engineering, and their applications in business systems. She specializes in integrating blockchain solutions into supply chain management, e-commerce, and enterprise systems. Her research explores automated smart contract development from business process models (BPMN), long-term blockchain transaction management, and privacy-preserving frameworks for web services. Notable contributions include TABS (Transforming BPMN to Smart Contracts) and privacy architectures like PAWS and P3P. Her work bridges theoretical computer science with practical business challenges, emphasizing scalability, security, and compliance in distributed systems. Recent trends in her publications highlight advancements in responsible supply chain tracking, smart contract automation, and multi-modal modeling for blockchain applications. Dr. Jutla has pioneered privacy-by-design approaches for operating systems and social networks, addressing regulatory compliance and user data protection. Her research spans over two decades, with sustained contributions to e-commerce benchmarks, web services composition, and small business adoption of digital technologies. No awards or grants are explicitly listed in the provided text, though her extensive publications indicate significant academic impact. She advises on technology entrepreneurship and contributes to innovation diffusion strategies for SMEs in Atlantic Canada.

Matteo DettoView profile

Research Fellow

• Climate Science
• Ecology
• Environmental Science
• +3 more

Matteo Detto is a Research Fellow affiliated with the Department of Ecology and Evolutionary Biology and the High Meadows Environmental Institute (HMEI) at Princeton University. His research focuses on climate-forest interactions, particularly the spatial and temporal complexity of biosphere-atmosphere exchanges, including energy, water, CO₂, and greenhouse gases. He designs automated bio-environmental monitoring systems for diverse ecosystems, from Mediterranean regions to boreal forests, and develops statistical methods to analyze observational data across multiple scales. His work emphasizes understanding ecological complexity in natural and anthropogenic systems, with a focus on how climate change alters forest resource use and carbon dynamics. Detto collaborates with the Pacala Lab and contributes to the Carbon Mitigation Initiative (CMI) within HMEI. He has pioneered methods for analyzing forest structure using LiDAR and drones, and his research spans remote sensing applications, time-series analysis, and spatial modeling. Detto's publications address topics such as tropical forest responses to drought, liana-tree competition, and the integration of physiological data into ecosystem models. He actively engages in global initiatives like the ForestGEO network and has contributed to datasets like FLUXNET-CH4.

• Ad-hoc Wireless Networks
• Resilient Disaster Communications
• Disruption-Tolerant Networking
• +4 more

Markus Sommer is a Research Fellow at Philipps-Universität Marburg's Department of Mathematics and Computer Science, affiliated with the Distributed Systems Group (AG Freisleben). He holds a Master of Science in Computer Science (2020) and is pursuing a PhD in Computer Science since 2020. His research focuses on resilient communication systems for disaster scenarios, ad-hoc wireless networks, and software-defined networking architectures. He is a core member of the LOEWE center emergenCITY, specializing in crisis communication technologies. Key technical expertise includes Python and Go programming, disruption-tolerant networking (DTN), and protocol design for wireless edge devices. He contributes to projects like ProgDTN (programmable DTN) and QUICL (QUIC-based DTN convergence layer), emphasizing network function virtualization and energy-efficient decentralized communication. Recent work emphasizes low-cost LoRa-based crisis communication systems, energy-efficient multi-hop broadcasting, and unobtrusive mechanism interception for enhancing legacy network systems. His research bridges theoretical networking models with practical implementations for real-world disaster response scenarios.

Botond RoskaView profile

Professor

• Gene therapy
• Eye
• Retina
• +7 more

Botond Roska is a Professor at the Faculty of Science, University of Basel, Switzerland, and previously served as Professor at the Faculty of Medicine, University of Basel since 2014. He is the Founding Director of the Institute of Molecular and Clinical Ophthalmology Basel (IOB), established in 2018. His academic career includes serving as Senior Group Leader (2010-2019) and Junior Group Leader (2005-2010) at the Friedrich Miescher Institute in Basel. Born in 1969 in Hungary, Roska obtained his M.D. at the Semmelweis Medical School, a Ph.D. in neurobiology from the University of California, Berkeley, and studied genetics and virology as a Harvard Society Fellow at Harvard University and Harvard Medical School. Dr. Roska's research focuses on understanding the visual system at the level of cell types and circuits, with particular emphasis on the retina, thalamus, and cortex. His work aims to find ways to repair visual dysfunction and restore vision in blind individuals. He investigates how the organization of cell types and circuits in the nervous system, when combined with cellular engineering, can be used to design new therapies to fight blindness. Analysis of Roska's recent publications reveals a strong focus on single-cell resolution studies of the retina, development of gene therapy approaches for vision restoration, and detailed mapping of visual neural circuits. His work spans multiple disciplines including neuroscience, ophthalmology, genetics, and molecular biology, with a clear translational focus toward developing treatments for visual impairments. Dr. Roska has received numerous prestigious awards throughout his career: 1997: Fulbright Fellow 2001: Bearden Memorial Award for Biophysics 2002: Harvard Junior Fellow 2006: Marie Curie Excellence Grant 2009: EMBO Young Investigator 2010: ERC Starting Grant and VIVA Award 2011: Alcon Award and EMBO membership 2013: Alfred Vogt Award 2015: ERC Advanced Grant 2016: Cogan Award 2018: Bressler Prize and Alden W. Spencer Award 2019: Louis-Jeantet Prize, Order of Saint Stephen of Hungary, Cloëtta Prize, and Semmelweis Budapest Award 2020: ERC Advanced Grant and Körber European Science Prize 2024: Wolf Prize in Medicine (for sight-saving and vision restoration to blind people using optogenetics) As a principal investigator, Roska has secured significant research funding including multiple ERC grants (Starting Grant in 2010, Advanced Grants in 2015 and 2020), a Marie Curie Excellence Grant, and the VIVA Award. His laboratory has mentored numerous researchers who have gone on to publish impactful work in top-tier journals. The collaborative nature of his research is evident from the multi-institutional authorship of his publications. Dr. Roska founded and directs the Institute of Molecular and Clinical Ophthalmology Basel (IOB), which brings together basic scientists and clinicians to develop treatments for eye diseases. His laboratory employs advanced techniques including single-cell analysis, viral vector engineering, optogenetics, and neural circuit mapping to advance our understanding of the visual system and develop novel therapeutic approaches.

Ergun SimsekView profile

Assistant Professor

• Computational Photonics
• Wave Propagation and Scattering in Complex Media
• Nano-photonic and Optoelectronic Device Design
• +7 more

Dr. Ergun Simsek is an Assistant Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC) and serves as the Director of Graduate Data Science Programs. He is a member of the Computational Photonics Laboratory and leads the Computational Photonics for Multilayered Structures (CPMS) research group. Education: Ph.D., Electrical and Computer Engineering, Duke University (2006) M.S., Electrical and Computer Engineering, University of Massachusetts Dartmouth (2003) B.S., Electrical and Electronics Engineering, Bilkent University (2001) Research Focus: Dr. Simsek's expertise lies in computational photonics , with emphasis on: Wave propagation and scattering in complex, multilayered media Nano-photonic and optoelectronic device design Machine-learning-assisted electromagnetic inversion and inverse photonic design Photodetectors, plasmonic sensors, electro-optic modulators, and 2-D material devices He has published over 100 peer-reviewed journal and conference papers and is a Senior Member of both IEEE and Optica as well as a Licensed Professional Engineer. Scientific Recognition: Senior Member, IEEE Senior Member, Optica (formerly OSA) Licensed Professional Engineer (PE) Advising & Teaching: Dr. Simsek currently advises PhD students Ishraq Anjum and Raonaqul Islam , and has mentored undergraduate researchers. He teaches graduate and undergraduate courses including Machine Learning and Photonics , Electromagnetic Theory , Electromagnetic Waves and Transmission , and Introduction to Data Science . Laboratory & Facilities: He directs research within UMBC’s Computational Photonics Laboratory and the CPMS group , utilizing facilities in the TRC Building (Technology Research Center) and the ITE Building (Information Technology and Engineering).

Paquita ZuidemaView profile

Professor

• Atmospheric Chemistry
• Cloud Physics
• Climate Modeling
• +3 more

Paquita Zuidema is a Professor and Chair of the Department of Atmospheric Sciences at the Rosenstiel School of Marine, Atmospheric, and Earth Science , University of Miami. Her research focuses on aerosol-cloud interactions, climate impacts of biomass burning and dust, and large-scale atmospheric processes. She leads major field campaigns such as NASA’s ACTIVATE and the ORACLES initiative, studying aerosol properties, radiative effects, and boundary layer dynamics. Her work integrates remote sensing, airborne measurements, and modeling to address critical questions in climate science, including how aerosols modulate cloud formation and radiative balance. Key areas include African dust transport, Southeast Atlantic low-cloud systems, and the influence of biomass burning on regional climate. Notable contributions include analyzing the “Godzilla” dust event over the Caribbean and advancing understanding of aerosol radiative effects through satellite and in-situ observations. Her research often emphasizes interdisciplinary collaborations to bridge gaps between observational data and climate models. Recent studies highlight her focus on the diurnal cycle of smoky boundary layers, cloud microphysics, and the role of mesoscale organization in cloud dynamics. Her leadership in the Rosenstiel School underscores her commitment to advancing atmospheric science through cutting-edge research and educational initiatives.

• Robotics
• Multi-robot Systems
• Control Systems
• +4 more

Lorenzo Sabattini is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia, Italy. His research focuses on multi-robot systems, decentralized estimation/control, and human-robot interaction. He holds a Ph.D. in Control Systems and Operational Research from the University of Bologna (2012), and has been a Visiting Researcher at the University of Maryland (2010). He served as a founding co-chair of the IEEE RAS Technical Committee on Multi-Robot Systems from 2014–2021. His work has been recognized with awards such as the Fabrizio Flacco Young Author Best Paper Award (2018) and the IEEE RAS Most Active Technical Committee Award (2018). Research interests include multi-robot coordination, coverage control, human-robot collaboration, and Industry 5.0 applications. Notable projects involve digital twins for operator well-being, AGV fleet management, and socially acceptable robotics. He has organized workshops at IEEE ICRA, RSS, and ERF, and serves as an Associate Editor for International Journal of Robotics Research (2023–2024) and IEEE Robotics and Automation Letters (2015–2018). Publications span topics like connectivity maintenance in robot networks, multimodal stress assessment in HRC, and resilient multi-robot systems. He actively collaborates on industrial automation projects, such as the INCLUSIVE system for adaptive HMIs and autonomous depalletizing systems. His research bridges theory and practice, addressing challenges in logistics, manufacturing, and human-centric robotics.

Nina Skorin-KapovView profile

Associate Professor

• Optimization of Communication Networks
• Wide-Area Optical Networks
• Operations Research
• +3 more

Dr. Nina Skorin-Kapov is an Associate Professor at the Technical University of Cartagena, associated with the Centro Universitario de la Defensa de San Javier. She holds a PhD in Telecommunications and Informatics from the University of Zagreb and completed a postdoctoral fellowship at Telecom ParisTech. Her research focuses on optimization of communication networks, wide-area optical networks, operations research, and heuristic algorithms. She leads the Computational and Telecommunications Engineering Group (GICOT) and serves on the editorial board of the IEEE/OSA Journal of Optical Communications and Networking. Her academic roles include teaching undergraduate courses on Electromagnetic Exploration Systems and graduate courses on Metaheuristics and Graph Theory. Key research contributions include work on network security, routing algorithms, and capacity planning in optical networks. Notable projects include the Movilidad Ecoeficiente y Conectada para Ciudadanos initiative (2020–2022), funded by IDAE. Her publications span topics like wildfire resource scheduling, drone control systems, and secure optical network design. Dr. Skorin-Kapov’s articles emphasize practical applications of optimization techniques, such as scheduling aerial resources for wildfire management and improving QoE in drone teleoperation. Her work bridges theoretical research with real-world network challenges, particularly in telecommunications and disaster response scenarios.

Yangsun HongView profile

Associate Professor

• Health Communication
• Intersectionality
• Media Effects
• +5 more

Dr. Yangsun \"Sun\" Hong is an Associate Professor in the Department of Communication and Journalism at the University of New Mexico, with additional affiliation to the combined B.A./M.D. degree program. She holds a Ph.D. in Mass Communications from the University of Wisconsin-Madison, where she minored in Sociology (Intersectionality) and Educational Psychology (Advanced Statistics). Her research employs quantitative methods to examine health communication and health inequities through critical theoretical frameworks. Dr. Hong's research focuses on the roles of communication in reinforcing or transforming health inequities via two primary approaches: analyzing multi-layered social structures impacting health outcomes, and investigating communicative dynamics (mediated/interpersonal) to redress inequalities. Key research domains include intersectionality, power relations, social determinants of health, digital media effects, and communication ecology. She directs the Digital Media and Communication (DMC) Research Group, facilitating interdisciplinary collaboration. Her publication portfolio (2015-2025) demonstrates strong emphasis on crisis health communication, particularly COVID-19 messaging strategies, vaccine acceptance, and misinformation. Recurring themes include social media's role in health information dissemination, communication inequalities across socioeconomic groups, and the application of behavioral theories (e.g., presumed media influence) to public health challenges. Methodologically, her work advances quantitative analysis of communication patterns in diverse cultural contexts. Honors and Awards: 2024 Emerging Scholar Award (Korean American Communication Association, NCA) 2021 PNMGC Faculty of Color All Around Award (UNM) Early Career Scholar Paper Award (2021 D.C. Health Communication Conference) Multiple research grants and paper awards Dr. Hong actively mentors graduate researchers, with eight student co-authors appearing in recent publications. She leads the Digital Media and Communication Research Group, focusing on collaborative projects examining digital culture's impact on health equity. Her teaching portfolio includes graduate seminars on health disparities, intersectionality in health research, and advanced quantitative methods, alongside undergraduate courses in health communication and media effects.

• Applied Mathematics
• Scientific Computing
• Machine Learning
• +7 more

Yimin Zhong is an Assistant Professor of Mathematics and Statistics at Auburn University. He holds a Ph.D. from the University of Texas at Austin (2017). His research focuses on applied mathematics, scientific computing, and machine learning, with expertise in inverse problems, radiative transfer, and nonlinear optics. He leads undergraduate research initiatives and collaborates on projects involving biomedical imaging and transport models. Key research areas include PDE learning, neural networks for high-frequency approximation, intrinsic complexity of datasets, and imaging with physical models. Zhong's work bridges theoretical analysis with computational methods, addressing challenges in data-driven modeling and inverse problem uniqueness/stability. He has contributed to fast algorithms for radiative transport and implicit boundary integration techniques for macromolecular electrostatics. His projects span collaborations with industry (e.g., Boeing) and academic networks, emphasizing interdisciplinary applications. Current interests also include graph theory, randomized algorithms, and geometric measure theory. Despite no explicit awards listed, his extensive publication record reflects recognition in computational and applied mathematics fields. Education: Ph.D. in Mathematics, University of Texas at Austin (2017) Advising: Mentored undergraduate research in inverse problems and numerical methods Labs/Teams: Leads Auburn's Undergraduate Research Network in Mathematics Open Problems: Active in transport equation analysis, nonlinear diffusion, and geometric measure theory challenges

Géza SzabóView profile

Researcher

• Network Resource Management
• 5G and 6G Networks
• Industrial IoT
• +4 more

Géza Szabó is a Researcher at Ericsson Research in Budapest, Hungary. His work focuses on advanced networking solutions for industrial and robotic systems, particularly in 5G/6G integration, network resource management, and AI-driven automation. He has extensively contributed to optimizing wireless resource allocation in industrial IoT environments and enhancing network performance through programmable data planes. Key areas: Network Co-Design, Industrial Automation, Reinforcement Learning Notable collaborations: József Peto, Sándor Rácz, Rafael Antonello His research bridges theoretical advancements with practical implementations, addressing challenges in real-time systems and quality-of-control (QoC) for cyber-physical processes. He has pioneered solutions for multipath channel switching in ROS2 and 3GPP frameworks, and developed adaptive traffic reduction techniques using SDN/NFV architectures. Recent work includes the FATHER project (Factory on the Road) exploring agile industrial production cells and the application of digital twins for network-physical system synchronization. His publications span top venues like IEEE Access, GLOBECOM, and ICC, reflecting his deep engagement with both academic and industry-relevant networking challenges.

• Wireless Communications
• 5G/6G Networks
• Green Communications
• +6 more

Md. Munjure Mowla is an active researcher at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, with a strong publication record spanning from 2014 to 2024. His work primarily focuses on next-generation wireless communications, with particular expertise in 5G/6G networks, energy efficiency, and resource allocation strategies. Dr. Mowla's research interests center around sustainable wireless communications, with a growing emphasis on 6G technologies and cell-less network architectures. His work explores innovative approaches to resource management, energy efficiency in backhaul networks, and the integration of emerging technologies like Free Space Optics (FSO) and mmWave for next-generation wireless systems. Recent publications demonstrate an increasing focus on sustainability in 6G networks, workload prediction in virtualized RAN environments, and the application of machine learning techniques to wireless resource management. Analysis of his recent publications (2021-2024) reveals a clear research trajectory toward more sustainable and intelligent wireless network architectures. His work shows a significant shift from traditional cellular approaches to cell-less RAN architectures, with increasing attention to energy efficiency metrics and sustainability frameworks. The publications demonstrate strong collaboration patterns, particularly with researchers from Curtin University including Iftekhar Ahmad, Daryoush Habibi, and Quoc Viet Phung, as well as international collaborators from European institutions. Dr. Mowla has contributed significantly to the understanding of resource allocation challenges in heterogeneous wireless environments, with publications spanning top-tier journals like IEEE Access, IEEE Transactions on Green Communications and Networking, and Computer Networks, as well as prestigious conferences including GLOBECOM, CSCN, and PIMRC. His research output shows consistent growth and increasing impact in the wireless communications domain, with recent work exploring the integration of quantum technologies and machine learning in next-generation networks.