Dr. Guangliang Cheng is an Associate Professor in the Department of Computer Science at the University of Liverpool. His research focuses on deep learning, computer vision, and perception algorithms with applications in remote sensing, medical imaging, and autonomous systems. Prior to his current role, he served as a vice research director in the Autonomous Driving Group at SenseTime and completed postdoctoral research at the Aerospace Information Research Institute, Chinese Academy of Sciences. Ph.D. in Pattern Recognition from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) Postdoctoral Researcher at Aerospace Information Research Institute, Chinese Academy of Sciences (2017–2019) Dr. Cheng’s research integrates computer vision and deep learning to address challenges in semantic segmentation, domain adaptation, and robust detection. Recent work explores wavelet-based multimodal fusion for remote sensing and attention-guided architectures for medical imaging. His 2025 publications span journals like GIScience & Remote Sensing and Knowledge-Based Systems , emphasizing scalable solutions for geospatial and biomedical applications. In 2025, Dr. Cheng’s article trends highlight remote sensing semantic segmentation, cross-domain medical imaging, and drone-based fire detection. His collaborations span institutions such as SenseTime, Chinese Academy of Sciences, and University of Liverpool teams, focusing on frequency-domain fusion, attention mechanisms, and GPU optimization. As a supervisor, Dr. Cheng seeks highly motivated PhD students to join projects supported by scholarships including the Centres for Doctoral Training (CDT) and Duncan Norman Scholarship. He serves as Module Co-ordinator for COMP338: Computer Vision (2024–2025) and actively reviews for top-tier journals and conferences.
Prof. Dr. Diamantis Panagiotopoulos is a Professor of Classical Archaeology at Heidelberg University's Institute of Classical Archaeology, serving as its Managing Director since 2012. His academic foundation includes a doctorate from Heidelberg University (1996) and a habilitation from Salzburg University (2003), both focused on Aegean Bronze Age archaeology. Panagiotopoulos's research explores Aegean Bronze Age societies, with emphasis on seal practices, iconography, cultural interactions, and archaeological landscapes. His work integrates theoretical frameworks with material culture analysis to examine Minoan-Mycenaean administration, transcultural exchanges in the Eastern Mediterranean, and heritage preservation strategies. His publications reflect a strong trajectory toward computational methods in archaeology and interdisciplinary approaches, with recent articles leveraging digital tools for seal analysis and landscape modeling. Earlier works established foundations in ritual studies and cross-cultural encounters. Awards include fellowships from the German Archaeological Institute (DAI), DAAD, and DFG, recognizing his contributions to Bronze Age archaeology. He directs excavations at Koumasa (Crete) and co-leads the Heidelberg Corpus of Minoan and Mycenaean Seals.
Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing
Dustin Scheinost is an Associate Professor at Yale School of Medicine, affiliated with the Department of Radiology & Biomedical Imaging, Yale Child Study Center, Department of Statistics, and Yale Biomedical Imaging Institute. His research focuses on connectomics , machine learning , and neuroinformatics through the Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Lab. Radiology & Biomedical Imaging (Primary) Child Study Center (Secondary) Statistics (Secondary) Wu Tsai Institute Yale Stress Center Research Interests include developing novel statistical and machine learning methods for functional connectivity in big neuroscience data, leading the BioImage Suite Web (BISWeb) platform, and advancing early life neuroimaging through the Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). His work is supported by grants from NIMH, NIAA, NIDA, and NHLBI. Selected Scientific Contributions span functional connectivity in laterality preferences, anti-racist AI governance in psychiatry, self-citation trends in neuroscience, and predictive modeling of mood disorders. He collaborates extensively with Todd Constable and others on multimodal neuroimaging studies.
Dyanna Jolly is a Senior Lecturer in the Department of Environmental Management at Lincoln University, Aotearoa New Zealand. She is of Whitebear First Nations (Cree, Saulteaux, Nakota, Dakota) heritage from Treaty 4 territory in Saskatchewan, Canada, and was adopted into the Kakakaway, Shepherd, Maxie family. Her work centers on Indigenous-led environmental decision-making processes grounded in Te Tiriti o Waitangi principles. Her educational background includes: PhD from University of Otago, Dunedin MNRM from University of Manitoba, Winnipeg BA (Hons) from University of Regina, Regina Jolly's research focuses on transformative engagement through Indigenous planning, environmental management, and impact assessment. She has over two decades of experience developing Iwi Management Plans and cultural impact assessments while collaborating with iwi, hapū, industry, and government. Her work bridges Western scientific approaches with Māori environmental knowledges (Mātauranga Taiao) and global Indigenous studies, emphasizing epistemic justice in environmental health risk assessment and soil science applications. Her publications reveal strong thematic trends in Indigenous authority within impact assessment frameworks, cultural impact assessment effectiveness in Aotearoa New Zealand, and knowledge-weaving methodologies connecting soil science with Indigenous land management practices. Recent works highlight decolonial approaches to environmental decision-making and the integration of Māori perspectives in horticultural land use studies. Key recognitions include: University of Otago Humanities Divisional List of Exceptional Doctoral Theses (2020) New Zealand Geographical Society Best Doctoral Thesis in Geography Award (2022) Jolly actively supervises Master's and PhD students while leading significant research initiatives including 'Te Rua o mahara - Stories stored in the depths' (2024) and 'Building the Autonomy of Indigenous Communities to Make their Data Work for Decision-Making' (2025). She serves as Programme Convenor for the Master of Planning Programme and maintains extensive professional engagement through the New Zealand Association for Impact Assessment Core Group, EIANZ Impact Assessment Special Interest Group, and as Chair of the Mana Whenua Advisory Group for Te Hapū o Ngāti Wheke and Lyttelton Port Company. Her collaborative work with the Tāwhaki Joint Venture demonstrates practical application of Indigenous planning theory in environmental management contexts, creating tangible pathways for community-led environmental governance.
Virginia de Sa is a Professor in the Department of Cognitive Science at the University of California, San Diego. Her research integrates computational modeling, psychophysics, and machine learning to investigate visual and multi-sensory perception, with a focus on understanding how humans learn and perceive through neural mechanisms. Her work emphasizes the synergy between human learning and machine learning, applying insights from both fields to advance understanding of perception. Notable projects include developing brain-computer interface (BCI) systems and analyzing biases in facial expression recognition algorithms. She leads the de Sa Lab, which explores the neural basis of learning through interdisciplinary methods, including EEG analysis and biologically inspired algorithms. Key research directions include improving BCI usability through adaptive spatial filtering, investigating pain assessment via facial and electrophysiological data fusion, and enhancing AI fairness in facial expression analysis. Dr. de Sa has contributed to grants such as the NSF-funded CHS project to enhance BCI reliability and collaborates on initiatives like AI-READI to improve healthcare data practices. Her lab’s BCI division focuses on interpreting EEG data for assistive technologies, while her work on divisive normalization bridges biological insights with artificial neural network design. Ongoing efforts explore zero-shot learning and the generalization of neural models to unseen tasks. Dr. de Sa’s interdisciplinary approach spans neuroscience, computer science, and engineering, with a commitment to advancing both theoretical understanding and practical applications in human-computer interaction.
Lauren Hall-Lew is a Professor and Personal Chair of Sociolinguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. She holds a BA from the University of Arizona (2002) and MA/PhD from Stanford University (2009). Her research focuses on phonetics, social meaning, language change, and sociopolitical identity. She has pioneered projects like the Lothian Diary Project, studying linguistic impact of the pandemic, and analyzed Scottish political speech, tourist language attitudes, and ethnicity-linked variation in San Francisco. Teaching contributions include courses on sociophonetics and language variation/change, earning her EUSA Teaching Award (2013). She has supervised over a dozen PhD students and is involved in EDI initiatives, including founding the Staff BAME Network Mentoring Programme (2019-2021), recognized via CAHSS Award and Principal's Medal nominations. Active in grant work, she leads projects on homelessness and linguistic variation (British Academy-funded), Scottish tour guide discourse, and political identity in phonetics. Awards include teaching accolades and EDI recognition. Her publications span sociolinguistic theory, phonetic analysis, and applied linguistic methods.
Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.
Carlos Enrique Palau is a prominent researcher in the field of Internet of Things (IoT), edge computing, and cyber-physical systems. His work focuses on interoperability, security, and scalability in distributed systems, particularly in industrial and smart city applications. He has contributed to frameworks for cloud-edge continuum integration, blockchain-based IoT solutions, and federated computing architectures. Key areas of research include: IoT interoperability and semantic frameworks Edge computing and distributed workload management Cybersecurity for IoT and critical infrastructure Smart port logistics and real-time data analytics Cognitive services in legacy port management systems His recent work explores: Data-as-a-Product frameworks for Industry 4.0/5.0 Autonomous workload scheduling in energy-efficient edge-cloud systems Deception mechanisms for IoT security Self-* capabilities in cloud-edge nodes Palau has collaborated extensively with institutions like Universitat Politècnica de València and international partners in projects funded by EU initiatives. His research addresses practical challenges in industrial IoT deployments, smart city infrastructure, and emergency management systems.
Giles Foody is a Professor of Geographical Information Science at the School of Geography, University of Nottingham, and a member of the Rights Lab in the Faculty of Social Science. He is recognized as the UK’s most prolific and highly cited researcher in remote sensing, with a focus on interdisciplinary applications for real-world impact. Education: BSc (1st class honours) and PhD from the University of Sheffield. His research spans image classification for thematic mapping, particularly in land cover and human-induced changes. He pioneered soft image classifications, object-based methods, neural networks in remote sensing, and citizen sensors in mapping. Current projects include 'slavery from space' and Sargassum beaching analysis to meet UN SDGs. The trends in his publications highlight advancements in remote sensing, citizen science, and land cover mapping. His work integrates machine learning and geospatial analysis for social and environmental challenges. Scientific awards: IEEE Fellowship, David Landgrebe Award, Founder's Award (ISARA), multiple RSPSoc accolades, and SDG-related honors. Giles has supervised 51 research students and contributed to academic service via editorial roles, peer review leadership, and participation in national research assessment panels. His interdisciplinary work extends to European National Mapping Agencies and anti-slavery initiatives.
Associate Professor Bruno Schivinski is affiliated with RMIT University's School of Media & Communication. He specializes in online consumer behavior, quantitative research methods, and multivariate data analysis. His work bridges digital media impact, consumer psychology, and health behavior, with a focus on gaming disorder, social media engagement, and brand equity. Education and professional background include roles at Gdansk University of Technology and consulting for institutions like the Polish Ministry of Science. He serves as Associate Editor for the Journal of Management and Business Administration–Central Europe . Research interests span digital phenotyping, behavioral addictions, and sustainable consumption. Notable contributions include studies on gaming disorder measurement, food waste reduction, and influencer marketing effectiveness. His work is published in top-tier journals like Journal of Business Research and Journal of Clinical Medicine . Recognition includes the Vice-Chancellor’s Award for Research Impact (2020), Emerald Literati Outstanding Reviewer (2022), and multiple best paper awards. He supervises research projects on digital behavior, food waste, and social media's role in health. Professional memberships include the Royal Statistical Society, Higher Education Academy, and American Marketing Association. His interdisciplinary approach addresses real-world challenges in digital health, consumer behavior, and sustainability.
Carolyn Sparrey is an Associate Professor and Graduate Student Supervisor in the School of Mechatronic Systems Engineering at Simon Fraser University (SFU). She leads the Neurospine Biomechanics Laboratory, focusing on injury prevention and management through biomechanical research. Her work bridges engineering principles with clinical applications, collaborating with Vancouver General Hospital and accident reconstruction experts. Dr. Sparrey holds a Ph.D. in Mechanical Engineering (UC Berkeley, 2008), M.A.Sc. (UBC, 2004), and B.A.Sc. (University of Waterloo, 2001). Her research emphasizes spinal cord injury mechanics, tissue material characterization, and patient-specific modeling. She teaches courses like MSE 420 (Biomechanical Engineering) and MSE 222 (Kinematics and Dynamics). Her lab’s current projects include mechanical characterization of neurological tissues, thermodynamic modeling of spinal cord injury treatments, and injury prevention device design. Funding opportunities are available for exceptional graduate students through NSERC and CIHR awards. Undergraduate and co-op students can engage in projects aimed at publishing or presenting results. Dr. Sparrey actively promotes interdisciplinary collaboration, with a focus on translating engineering solutions into clinical practice. Her teaching philosophy prioritizes preparing students for industry, research, and societal contributions through innovative curricula.
Dr. Hongli (Julie) Zhu is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University's College of Engineering. Her research focuses on sustainable energy storage, multifunctional materials, and advanced manufacturing, with emphasis on developing environmentally friendly biomass-derived materials, all solid-state batteries, and flow batteries. She leads the ZHU Lab at Northeastern University, which is dedicated to creating safer, cheaper, and higher performance energy storage solutions while exploring multifunctional materials derived from nature. Dr. Zhu received her PhD from South China University of Technology and Western Michigan University (2004-2009). She conducted postdoctoral research at KTH Royal Institute of Technology in Sweden (2009-2011), focusing on biodegradable and renewable biomaterials from natural wood, followed by additional postdoctoral work at the University of Maryland (2012-2015), where she researched nanocellulose and energy storage. Dr. Zhu's research spans multiple disciplines at the intersection of materials science, energy storage, and sustainable manufacturing. Her work addresses critical challenges in energy storage technology, including developing all solid-state batteries, flow batteries, and high energy density battery systems. She has pioneered research in sustainable biomass-derived materials, particularly investigating cellulose, hemicellulose, and lignin for applications in bendable, implantable, and biocompatible electronics. Her lab also focuses on advanced manufacturing techniques, including high-speed roll-to-roll processing for emerging advanced materials and devices. Analysis of Dr. Zhu's publication record reveals a strong focus on next-generation battery technologies, particularly solid-state systems. Her research demonstrates significant contributions to understanding and improving lithium dendrite suppression, electrode architecture optimization, and interface stabilization in solid-state batteries. She has also made substantial advances in sustainable materials derived from natural resources, developing applications for cellulose nanostructured fibers, paper, and aerogel/hydrogel systems. MRS Communications Early Career Distinguished Presenters and JMR Distinguished Invited Speakers (2024) Selected in Stanford University List of Top 2% Scientists Worldwide (2021-2024) College of Engineering Faculty Fellow (2023) Soren Buus Outstanding Research Award (2022) Women in Materials Science, Advanced Materials (2021 and 2022) Women Scientists at the Forefront of Energy Research, ACS Energy Letters (2020) Innovator of the Year 2013, Maryland Jakob Wallenberg Scholarship, Sweden Dr. Zhu has secured significant research funding from various sources, including the National Science Foundation and Department of Energy. Her current projects include "Uncovering the mechano-electro-chemo mechanism of fresh Li in sulfide based all solid-state batteries through operando studies" (NSF), "Enabling Advanced Electrode Architecture through Printing Technique" (DOE), and "Engineering the Metal Sulfide Interface in All Solid State Batteries through Operando Study" (NSF). She collaborates with industry partners including Rogers Corporation and has developed patented technologies related to sustainable materials and energy storage. Dr. Zhu serves as Codirector of Advanced & Intelligent Manufacturing, Editor of Progress in Materials Science, and on the Editorial Advisory Board of Chemical Society Reviews. The ZHU Lab at Northeastern University is a highly interdisciplinary research group that bridges scales from the nanoscopic to macroscopic and system level. The lab's work has led to numerous patents, including "Natural fiber composites as a low-cost plastic alternative" and "Fire-retardant Nanocellulose Aerogel, and Methods of Preparation and Uses Thereof." The group focuses on making energy storage safer, cheaper, and higher performing while exploring multifunctional materials derived from nature, with particular emphasis on applying high-speed roll-to-roll manufacturing to emerging advanced materials and devices.
Professor Chin Hoong Chor is a Professor in the Department of Civil Engineering at the National University of Singapore (NUS), affiliated with the Faculty of Engineering. He specializes in transportation systems modeling, safety assessment, and congestion management. As a registered professional engineer and road safety auditor, he has contributed to numerous projects with Singapore’s land authorities and private companies. He holds leadership roles including Vice Chairman of the Chartered Institute of Logistics and Transport and Editorial Board membership for the International Journal of Transport Management. Qualifications include a BEng and MEng from NUS and a PhD in Transportation Engineering from the University of Southampton. His research interests span vehicle detection using image processing, traffic conflict analysis, and public transport optimization. Notable awards include the NUS Faculty Innovative Teaching (Gold) Award (2001/2002) and the UK Institution of Civil Engineers Webb Prize (2003). Education: BEng in Civil Engineering, National University of Singapore MEng in Civil Engineering, National University of Singapore PhD in Transportation Engineering, University of Southampton His research focuses on quantitative safety analysis, traffic flow modeling, and smart city initiatives. Recent work explores maritime collision risk modeling and sentiment analysis for transportation planning. He actively contributes to government committees and has authored over 40 peer-reviewed papers on traffic management and safety. Awards: Faculty Innovative Teaching (Gold) Award, 2001/2002 UK Institution of Civil Engineers Webb Prize 2003 Prof Chin has undertaken traffic impact studies and road safety reviews in Singapore, collaborating with public and private sectors. His work bridges academic research and practical policy implementation, emphasizing sustainable urban mobility solutions.
Kashif Raza is a Postdoctoral Fellow at the Department of Educational Studies (EDST) within the Faculty of Education at the University of British Columbia (UBC). His research focuses on multilingual education, TESOL (Teaching English to Speakers of Other Languages), language policies, and systemic issues in education, such as racism and immigration integration. He examines topics like racialized voter behavior, institutional racism in educational leadership, and the role of language in immigrant integration. His work often intersects with critical race theory, sociolinguistics, and policy analysis. Raza’s research spans diverse contexts, including Canadian, Gulf, and South Asian educational systems. He has explored challenges faced by immigrant professionals in healthcare, the impact of digital networks on political engagement, and the design of multilingual curricula. His contributions also include practical guidance for scholars, such as advice on publishing and navigating language policies in higher education. While his profile does not explicitly list educational credentials, his articles indicate deep engagement with global educational challenges. He has collaborated on projects addressing pandemic-era language education and climate action through EDST’s initiatives. No awards or grants are mentioned in the provided texts.
