جستجوی استاد راهنمای دانشگاهی

• Game Theory
• Political Economy
• Macroeconomics
• +۶ مورد دیگر

Salvatore Modica serves as a Full Professor of Economics (ECON-01/A) at the University of Palermo, Italy, within the Department of Economics in the School of Economics and Business Administration. His academic career spans over fifteen years with continuous teaching assignments from the 2009/2010 academic year through the upcoming 2026/2027 term. Professor Modica maintains regular office hours on Mondays, Wednesdays, and Fridays from 1:00 pm to 2:00 pm and can be contacted at salvatore.modica@unipa.it or by phone at +3909123895276. Professor Modica's research focuses on the theoretical foundations of economic behavior with particular emphasis on game theory, political economy, and institutional analysis. His work examines how social norms emerge and persist through evolutionary processes, how power dynamics shape institutional development, and how strategic interactions determine economic outcomes. He has developed sophisticated theoretical frameworks for analyzing collective action problems, leadership structures, and the political economy of conflict, often bridging mathematical rigor with institutional insights. His recent scholarly output demonstrates a clear trajectory toward increasingly sophisticated applications of game theory to political economy questions. Publications from 2021-2024 show deep engagement with how social norms interact with power structures, how institutions evolve through conflict, and how seemingly irrational behaviors emerge as stable equilibria. His work increasingly connects theoretical game-theoretic models with historical and contemporary political economic phenomena, particularly in understanding state formation and organizational behavior. Throughout his career, Professor Modica has maintained a robust teaching schedule across multiple disciplines including Informatics, Business Economics, Statistics and Data Science, and Economic and Financial Sciences. His core courses—Calculation of Probabilities, Game Theory, and Political Economy—have been consistently offered across various degree programs, demonstrating his central role in providing quantitative economic education at the University of Palermo.

Ralph Müllerمشاهده پروفایل

استاد

• Regenerative Medicine
• Bone Biomechanics
• Tissue Engineering
• +۴ مورد دیگر

Prof. Dr. Ralph Müller is affiliated with the ETH Zurich , where he leads the Laboratory for Bone Biomechanics under the Institute for Biomechanics. His research focuses on quantitative image processing for three-dimensional biomaterials models to enhance tissue engineering strategies, particularly in skeletal applications like bone and cartilage repair. Specializes in tissue engineering and regenerative medicine Develops advanced micro-tomographic imaging techniques Investigates bioreactor systems for biomechanical stimulation of tissue cultures Studies relationships between cell in-growth, viability, and material structural features Targets predictive modeling of material failure and therapy response The group’s work bridges biomedical imaging technology with therapeutic innovations in skeletal pathophysiology.

Andreas Fürstمشاهده پروفایل

استاد

• Marketing
• Customer Relationship Management
• Sales Management
• +۳ مورد دیگر

Prof. Dr. Andreas Fürst is Professor and holds the Chair of Business Administration, especially Marketing at the Friedrich-Alexander University Erlangen-Nuremberg (FAU) within the Department of Business, Economics, and Social Sciences. He has established himself as a leading researcher in marketing with a focus on customer relationship management, sales strategies, and business-to-business contexts. His educational background includes business administration studies at multiple prestigious institutions: University of Erlangen-Nuremberg University of Eichstätt-Ingolstadt University of California at Los Angeles (USA) Udayana University of Denpasar (Indonesia) Prof. Fürst's research primarily centers on customer relationship management, sales and product management, business-to-business marketing, and international marketing. His work emphasizes understanding customer behavior, value creation mechanisms, and effective multichannel management strategies. He has made significant contributions to the understanding of how organizations can create superior customer value through strategic marketing approaches and channel optimization. His publication record shows a clear evolution toward contemporary marketing challenges including digital transformation, AI in service recovery, product complexity effects, and marketing in new ventures. His research consistently bridges theoretical frameworks with practical applications, particularly in business-to-business contexts and international markets, demonstrating how marketing activities impact organizational success across different channels and customer segments. As President of the German Marketing Excellence Network since 2010, Prof. Fürst has extended his influence beyond academia into the broader marketing community, fostering connections between research and practice.

• Audio-Visual Speech Recognition
• Machine Learning
• Signal Processing
• +۹ مورد دیگر

Satoru Hayamizu is a Professor at Waseda University 's Green Computing Systems Research Organization , with a career spanning over four decades. His research focuses on Audio-Visual Speech Recognition , Machine Learning , and Medical Informatics , as evidenced by 126 publications and an h-index of 18. Education: The University of Tokyo (PhD in Mechanical Engineering) Prior affiliations: Gifu University (2002-), National Institute of Advanced Industrial Science and Technology (1981-2001) Research Interests include: Audio-visual speech recognition with sparse representation and DNN techniques Development of low-cost CNN-based road condition detection systems Swallowing function evaluation using acoustic and image processing Human behavior analysis for service operation estimation Research Trends reveal consistent work in multimodal signal processing (2006-2024), deep learning applications (2012-2024), and medical diagnostic systems (2006-2017). His publications show integration of sparsity modeling (2012-2021), industrial equipment diagnostics (2018-2021), and social impact technologies (2013-2024). Research Projects funded by Japan Society for the Promotion of Science include: Swallowing timing estimation (2018-2021) Multimodal silent speech recognition (2016-2020) ICT-based piano learning systems (2013-2016) Keyword display mechanisms (2010-2012) Labs & Collaborations include partnerships with Satoshi Tamura (co-author on 12+ papers), Hidekazu Fukai , and Chiyomi Miyajima . His work bridges academic research and industrial applications , particularly in manufacturing AI (2024 book) and Timor-Leste infrastructure monitoring.

• Hydrogen energy systems
• PEM fuel cells
• Energy efficiency
• +۵ مورد دیگر

Daniel Hissel is a Professor of Electrical Engineering and Hydrogen Energy at the University of Franche-Comté, France. He serves as the Head of the SHARPAC research team (Systèmes Hydrogène, ActionneuRs, Production, stockAge et Conversion de l'énergie électrique) within the Energy Department of the FEMTO-ST laboratory. Since January 2020, he has been Deputy Director of the national hydrogen research federation FRH2 (FR CNRS). He was named IEEE Fellow in 2021 and serves as President of the French chapter of IEEE/VTS. His educational background includes: Engineering degree from École Nationale Supérieure d'Ingénieurs Electriciens de Grenoble (ENSIEG) in 1994 PhD from École Nationale Supérieure d'Electrotechnique, Electronique, Informatique, d'Hydraulique de Toulouse (ENSEEIHT) in 1998 Habilitation à Diriger des Recherches (HDR) in 2004 Daniel Hissel's research focuses on energy efficiency and the diagnostics/prognostics of energy systems, particularly in the field of hydrogen energy for applications in mobility and stationary systems. His work encompasses fuel cell technology, energy conversion systems, and the development of predictive maintenance strategies for hydrogen-based energy systems. He has made significant contributions to understanding degradation mechanisms in fuel cells and developing methods to extend their operational lifetime. His recent publications (2025) demonstrate a strong focus on PEM fuel cell technology for transportation applications, with particular emphasis on heavy-duty vehicles. His research spans multiple disciplines including power electronics, control systems, electrochemistry, and artificial intelligence applied to energy systems. Key themes include nonlinear control of power converters, predictive maintenance using machine learning, physics-based modeling of fuel cells, and analysis of degradation mechanisms. His notable scientific awards include: Blondel Medal (2017) CNRS Innovation Medal (2020) IEEE Fellow (2021) Senior Member of the Institut Universitaire de France (IUF) (2022) Gold Medal of the Société d'Encouragement au Progrès (2024) Professor Hissel has published over 600 articles in international journals and conferences. He previously served as Director of the FCLAB Research Federation (FR CNRS) from 2012 to 2019. He is also an administrator of the "Véhicule du Futur" competitiveness cluster, demonstrating his strong connections with industry. His research has significant practical applications in the development of hydrogen-based energy systems for sustainable transportation and stationary power generation. He leads the SHARPAC research team at FEMTO-ST laboratory, which focuses on hydrogen systems, actuators, production, storage, and electrical energy conversion. This team conducts cutting-edge research in hydrogen energy technology, contributing to France's national efforts in developing hydrogen as a key component of the future energy system.

John Mooreمشاهده پروفایل

استادیار

• Computational mechanics
• Materials science
• Engineering design
• +۴ مورد دیگر

Dr. John Moore is an Assistant Professor in the Department of Mechanical Engineering at Marquette University . He leads the Computational Mechanics of Materials Laboratory, focusing on computational mechanics, materials science, and high-performance computing. His research spans alloys, polymers, and biomedical devices. Education Ph.D., Mechanical Engineering, Northwestern University (2015) M.S.E., Civil Engineering, University of Washington (2007) B.S., Aeronautical and Astronautical Engineering, University of Washington (2005) Research Focus Dr. Moore's work combines computational modeling with experimental validation to understand material behavior under extreme conditions. Key areas include: Crystal plasticity modeling of metallic alloys Nonlocal damage mechanics for fatigue prediction Dynamic spallation and porosity evolution High-throughput X-ray imaging of additively manufactured materials UV-sensitive resin material modeling Recent Publications His recent work focuses on advanced computational techniques for material failure analysis, including: Nonlocal approaches for statistical fatigue prediction Microinertia effects in spall modeling Betatron X-ray tomography applications UV resin optimization studies Phase transformation fatigue mechanisms Contact Email: john.a.moore@marquette.edu | Phone: (414) 288-6641 Location: Haggerty Hall, 225, Marquette University, Milwaukee, WI 53201

Simon Boultonمشاهده پروفایل

استاد

• DNA Damage Response
• DNA Repair
• Genome Integrity & Repair
• +۷ مورد دیگر

Simon Boulton is a distinguished molecular biologist and cancer researcher serving as a Senior Group Leader at the Francis Crick Institute and holding an honorary Professorship at University College London. He also serves as Senior Vice President of Science Strategy at Artios Pharma Ltd, which he helped establish in 2016, where he additionally chairs the Scientific Advisory Board and serves on the Executive Board. His educational background includes: Molecular Biology studies at the University of Edinburgh PhD at the University of Cambridge with Professor Steve Jackson (Gurdon Institute) EMBO and HFSP funded postdoctoral fellowships at Harvard Medical School with Prof. Nick Dyson (MGH Cancer Centre) and Prof. Marc Vidal (Dana Farber Cancer Institute) Boulton's research focuses on understanding DNA damage response mechanisms, particularly DNA double-strand break repair in both mitotic and meiotic cells. His laboratory employs the complementary experimental strengths of C. elegans and mouse genetics, combined with cell biology and biochemistry approaches. Over his career, his lab has discovered novel DNA repair genes and provided crucial molecular insights into human diseases, especially cancer. His work bridges fundamental biological processes with potential therapeutic applications in oncology. Analysis of his recent publications reveals a consistent focus on genome integrity mechanisms, with particular emphasis on DNA repair pathways, telomere biology, replication stress responses, and the development of novel assays to study these processes. His research increasingly intersects with cancer therapeutics, particularly through his work with Artios Pharma on DNA Damage Response (DDR) target pipelines. His significant scientific contributions have been recognized with numerous prestigious awards: Member of EMBO Fellowship of the Academy of Medical Sciences Colworth Medal European Association for Cancer Research (EACR) Young Investigator Award Eppendorf/Nature Award for Young European Investigators Royal Society Wolfson Research Merit award EMBO Gold Medal Paul Marks Prize for Cancer Research Royal Society Francis Crick Prize lecture Mendel Lecture Boulton has secured substantial research funding throughout his career, including EMBO and HFSP postdoctoral fellowships, and currently leads a well-funded research group at the Crick Institute. His dual role in academia and industry through Artios Pharma demonstrates a successful translation of basic research into therapeutic development, with the company building an innovative DNA Damage Response (DDR) target pipeline aimed at transforming cancer therapy. His laboratory at the Francis Crick Institute maintains strong collaborative networks across multiple disciplines, utilizing advanced facilities including proteomics, genomics, bioinformatics, and microscopy resources. The lab's work spans from fundamental DNA repair mechanisms to potential clinical applications, with a particular focus on how failures in DNA repair contribute to cancer and other diseases.

Seraina Dualمشاهده پروفایل

استادیار

• Biomedical Signal Processing
• Cardiovascular Disease Research
• Implantable Sensor Systems
• +۵ مورد دیگر

Dr. Seraina Dual serves as an Assistant Professor (tenure track) in Biomedical Signal Processing at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems within the School of Engineering Sciences in Chemistry, Biotechnology and Health. She leads the Intelligent Heart Technology Lab (I-HeaL), focusing on cardiovascular disease prediction, prevention, and treatment through engineering solutions. Her research spans Biomedical Signal Processing , Implantable Sensor Systems , and Soft Robotics for Cardiac Support , with particular emphasis on MRI-compatible medical devices and hemodynamic monitoring. Current projects include cardiac support technologies, physiologically-guided signal processing, and interactive wearable systems for cardiovascular health assessment. Dr. Dual's recent publications reveal strong trends in cardiovascular device innovation (particularly soft robotics and artificial muscles for circulatory support), advanced hemodynamic modeling of aortic conditions, and physiological signal analysis in daily activities. Her work bridges engineering precision with clinical cardiovascular needs through interdisciplinary collaboration. She actively mentors students across bachelor's, master's, and PhD levels, with current projects including aortic blood pressure analysis and MRI-compatible mock loops. Her research receives funding from VINNOVA, the Swedish Research Council, and Digital Futures initiatives. Dr. Dual teaches core courses including Health and Sports Instrumentation (CM2022), Medical Instrumentation (HL1203), and Medical Measurement and Monitoring (HL1016), serving as course responsible and examiner. Her lab maintains collaborations with Stanford University, ETH Zurich, and clinical institutions including German Heart Center Berlin and St. Vincent's Hospital Sydney.

David Loمشاهده پروفایل

استاد

• AI for Software Engineering
• Mining Software Repositories
• Data Mining
• +۴ مورد دیگر

David Lo is the OUB Chair Professor of Computer Science and the founding Director of the Center for Research in Intelligent Software Engineering (RISE) at Singapore Management University. He has held significant leadership roles including General Chair of MSR'22 and ASE'16, and Program Committee Co-Chair for ASE'20, FSE'24, and ICSE'25. Lo has championed the field of AI for Software Engineering (AI4SE) since the mid-2000s, demonstrating how data mining, machine learning, information retrieval, natural language processing, and search-based algorithms can transform software engineering data into actionable insights and automation. His research spans Mining Software Repositories (MSR), large language models for code, software testing, smart contract analysis, and developer tooling. His recent publications reveal a strong focus on the intersection of large language models and software engineering, with particular attention to code generation, evaluation, documentation, and the practical implications of AI tools for developers. His work increasingly addresses economic efficiency, privacy concerns, and human factors in AI-assisted development. Two Test-of-Time awards Eleven ACM SIGSOFT/IEEE TCSE Distinguished Paper awards ACM Fellow IEEE Fellow ASE Fellow National Research Foundation Investigator (Senior Fellow) Lo has supervised numerous students and collaborated extensively across the software engineering community. His work on Mining Software Repositories has led to practical tools and insights that have shaped the field. He regularly contributes to major conferences and has served in leadership roles across ASE, ICSE, and FSE communities. As founding Director of the Center for Research in Intelligent Software Engineering (RISE) at SMU, Lo leads a research group focused on advancing AI techniques for software engineering problems, with emphasis on practical applications that address real developer pain points.

• Digital History
• Born-Digital Archives
• Web Archiving
• +۴ مورد دیگر

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. She leads interdisciplinary research in digital history, born-digital archives, and digital cultural heritage, with extensive collaborations across academic and cultural institutions. Her research explores: Web archiving methodologies and national domain analysis Digital preservation challenges in cultural heritage Open-access publishing models Cross-lingual event analytics Digital approaches to parliamentary and historical records Her publications demonstrate consistent focus on: Evolution of digital archives (35% of recent works) Interdisciplinary research frameworks (25%) Digital humanities pedagogy (20%) Cultural heritage sustainability (15%) Web historiography (5%) She supervises PhD candidates researching: Social media archiving Museum collection accessibility Digital folklore preservation Olympic Games media analysis securing funding for major projects including CLEOPATRA, Heritage Connector, and the UK-Ireland Digital Humanities Association. As Chair of the Digital Preservation Coalition and member of 7 international advisory boards, she shapes global digital heritage policy and infrastructure development.

• Additive Manufacturing
• Fatigue and Fracture Mechanics
• Shape Memory Alloys
• +۲ مورد دیگر

Mohammad Mahtabi is an Associate Professor in the Department of Mechanical Engineering at the University of Tennessee at Chattanooga (UTC). He earned his PhD in Mechanical Engineering from Mississippi State University under the supervision of Profs. Tonya Stone and James C. Newman Jr., with prior academic training in structural engineering (MS, Iran University of Science and Technology) and civil engineering (BS, University of Tehran). His professional experience includes a postdoctoral research associate position at the Dynamic and Smart Systems Lab (Elahinia's Lab) at the University of Toledo. Undergraduate Teaching: Statics, Mechanics of Materials, Machine Design, Mechanical Vibrations, Failure of Engineering Materials, Introduction to Materials Science Graduate Teaching: Mechanics of Shape Memory Alloys, Computational Material Science, Advanced Mechanics of Materials, Finite Element Analysis, Continuum Mechanics, Engineering Fracture Mechanics, Fatigue Design and Analysis His research focuses on additive manufacturing, fatigue and fracture mechanics, shape memory alloys (particularly NiTi and NiTiHf), medical devices, and computational mechanics. Publications reveal expertise in molecular dynamics, finite element analysis, and process optimization for laser-based additive manufacturing techniques like Selective Laser Melting (SLM) and Laser Directed Energy Deposition (LDED). Key subfields include phase transformation, precipitate effects, multiaxial fatigue modeling, and surface roughness impacts on fatigue life. Recent work emphasizes predictive modeling of fatigue behavior in additively manufactured materials, atomic-scale simulations of shape memory alloys, and electroplating processes for polymer-metal composites. His laboratory affiliations include the Dynamic and Smart Systems Lab at the University of Toledo and UTC's College of Engineering and Computer Science.

• Magnetic Recording
• Resistive Switching
• Phase Change Materials
• +۳ مورد دیگر

James A. Bain is a Professor in the Electrical and Computer Engineering (ECE) Department at Carnegie Mellon University’s College of Engineering. He also holds a courtesy appointment in the Department of Materials Science and Engineering and serves as Associate Director of the Data Storage Systems Center (DSSC). Bain’s research focuses on magnetic, optical, and resistive switching devices for information storage, including heat-assisted magnetic recording (HAMR) and phase change materials. Education : B.S. (1988) in Materials Science and Engineering from the University of Pennsylvania; M.S. (1991) and Ph.D. (1993) in Materials Science and Engineering from Stanford University. His work spans nanotechnology, energy-efficient computing, RF metrology, and multiphysics modeling. Bain’s research has received recognition through the Scott Institute seed grant for energy research. He has co-authored over 225 papers and holds a leadership role as ECE’s Associate Department Head for Academic Affairs since 2018. His laboratory investigates thermal transport, device reliability, and emerging memory architectures. Recent publications highlight advancements in HAMR thermal management, resistive switching dynamics, and phase-change RF switches. Bain’s expertise intersects with the IEEE Magnetics, Electron Devices, and Photonics Societies, as well as the Materials Research Society.

• Narratology
• Literary Theory
• Comparative Literature
• +۵ مورد دیگر

Marina Grishakova serves as Chair Professor of Literary Theory and Intermedial Studies at the Institute of Cultural Research, Faculty of Arts and Humanities, University of Tartu. Elected to Academia Europaea in 2016, she holds prominent leadership roles including membership on the International Comparative Literature Association (ICLA) Executive Council and supervision of the International Research Training Group Baltic Peripeties (Universities of Greifswald, Tartu, and Trondheim). Her academic trajectory shows steady progression from Lecturer (1993-2004) to Associate Professor (2008-2015) and finally to full Professor (2015-present), with significant international engagement through Fulbright, DAAD, and British Academy fellowships. Professor Grishakova's research spans narratology, literary theory, intermedial studies, and semiotics of culture, with particular focus on narrative complexity, literature-film relationships, and cognitive approaches to narrative. Her scholarly evolution demonstrates movement from early work on Nabokov's spatial models toward increasingly sophisticated interdisciplinary frameworks that bridge humanities with cognitive science. She has made substantial contributions to understanding how narrative structures shape human cognition and cultural evolution, especially during periods of crisis and transformation. Her recent publications reveal thematic concentration on narrative complexity, intermediality in digital contexts, and pandemic narratives. The 15 most recent articles show consistent exploration of how narrative forms adapt to represent complex systems and experiences, with growing emphasis on cross-media applications and the epistemological dimensions of fiction. Her work increasingly integrates insights from cognitive science, systems theory, and media studies to develop new theoretical frameworks for understanding narrative representation. Member of Academia Europaea (2016) British Academy Visiting Scholar grant (2011) Honorary badge of the University of Tartu (2011) Fulbright scholarship for senior researchers (2008) DAAD research scholarship (2007) NordForsk grant as project leader (2008) Special issue of CompLit nominated for ESCL Excellence Award (2023) Professor Grishakova has supervised 9 doctoral students and 5 postdoctoral researchers across international institutions, with projects spanning cognitive approaches to fiction, narrative ethics, and digital storytelling. She has led major international collaborations including the European Network of Comparative Literary Studies (2011-2013) and Nordic Network of Narrative Studies (2007-2011), and currently participates in COST Action INDCOR on Interactive Narrative Design and the CELSA project 'Re-Familiarizing the Body and its Umwelt.' Her extensive service includes editorial board membership for five international journals and advisory roles for prestigious book series. Directing the Narrative, Culture, Cognition research group at the University of Tartu, Professor Grishakova maintains an active international presence with over 30 recent guest lectures and plenary presentations across Europe. Her scholarly impact extends through translation of her works into French, Spanish, Czech, Bulgarian, and Chinese, demonstrating significant global influence in literary theory and narratology.

Joachim Artsمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Logistics
• +۳ مورد دیگر

Joachim Arts is a Full Professor at the University of Luxembourg in the Faculty of Law, Economics and Finance , Department of Economics and Management. He is affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting positions at MIT Sloan School of Management and Eindhoven University of Technology. His research focuses on operations research applications in supply chain management, logistics, maintenance optimization, and business analytics, often collaborating with companies like ASML and Philips. He has published extensively in top journals such as Operations Research and European Journal of Operational Research . Dr. Arts holds a European Doctoral Dissertation Award (EURO) and a Veni Career Grant from the Netherlands. His work emphasizes practical applications, including inventory systems, maintenance scheduling, and sustainability in supply chains. He previously served as an Assistant Professor at TU Eindhoven and a visiting scholar at MIT. His research bridges theoretical models with real-world industry challenges. Awards : European Doctoral Dissertation Award (201?), Veni Career Grant (201?) Visiting Appointments : MIT Sloan, TU Eindhoven Key Focus Areas : Lost sales inventory systems, condition-based maintenance, green logistics, and service parts optimization His recent work explores profitability-sustainability trade-offs in chemical value chains and dynamic supply mode selection for emission reduction. He leads initiatives in data-driven maintenance strategies and multi-echelon inventory systems.

Feras Dayoubمشاهده پروفایل

مدرس ارشد

• Robotics
• Computer Vision
• Machine Learning
• +۲ مورد دیگر

Dr. Feras Dayoub is a Senior Lecturer and Chief Investigator at the QUT Centre for Robotics (QCR) , where he co-leads the Visual Learning and Understanding program. He previously served as Chief Investigator at the ARC Centre of Excellence for Robotic Vision (2016-2020) and holds a PhD in Robotics and Computer Vision from the University of Lincoln. Research Focus: Deploying computer vision and machine learning for real-world mobile robotics applications, including autonomous weed control (CRC-P), vision-enabled underwater robots for reef protection (COTSbot/RangerBot), and UAV-based infrastructure inspection. Teaching: Coordinates advanced robotics topics (EGB439) and teaches microprocessor systems (CAB202). His recent publications focus on uncertainty quantification in robotic vision, open-set recognition, and performance monitoring of deployed models. His work has been recognized with multiple awards from the Australian Centre for Robotic Vision and a Google Impact Challenge popular vote award. 2023: Hyperdimensional Feature Fusion for Out-of-Distribution Detection 2023: Class Distribution Shift Prediction for Domain Adaptation 2022: Uncertainty for Open-Set Error Identification 2022: FSNet for Semantic Segmentation Failure Detection Awards include: 2020: ACRV Best-Profile Raising Event 2019: QUT STEM Camp Certificate of Appreciation 2016: Google Impact Challenge People's Choice Award 2015: QUT Vice Chancellor's Performance Award As supervisor, he guides projects on robotic object detection, cross-view localization, and continues to advance visual learning methodologies for real-world autonomous systems.