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Dr. Maneka Malalgoda is an Assistant Professor in the Department of Food and Human Nutritional Sciences at the University of Manitoba's Faculty of Agricultural and Food Sciences. Her research focuses on grain chemistry, processing quality, and the development of healthy grain-based food systems. PhD in Cereal Science, North Dakota State University MSc in Cereal Science, North Dakota State University BSc in Medical & Pharmaceutical Biotechnology, University of Applied Sciences, Austria Dr. Malalgoda's research investigates the physicochemical properties of grain proteins and starches, their functionality in food processing, and the biological activity of grain biomacromolecules. She explores how these components contribute to nutritional value, safety, and structural integrity in bakery applications. Her recent publications highlight advancements in protein-enriched wholegrain bread, ancient grain processing optimization, oat protein health benefits, and pesticide residue impacts on cereal chemistry. Key trends include the use of analytical techniques (HPLC, LC-MS) and the intersection of traditional grains with modern nutritional needs. Dr. Malalgoda teaches courses in food science, including FOOD 4100: Current Issues in Food and Human Nutrition , FOOD 3220: Grains for Food and Beverage , and FOOD 3200: Bakery Science and Technology . She supervises graduate research at the University of Manitoba's Ellis Building facility.

• Food Science
• Nutritional Sciences
• Cereal Science
• +5 more

John Loehr is a principal investigator (PI) and research coordinator at the University of Helsinki , serving as the head of the Wildlife Ecology Research (WildER) group at Lammi Biological Station . He also coordinates the university’s Wild Animal Phenotyping Infrastructure and is a supervisor and research coordinator for multiple doctoral programs including Wildlife Biology and Interdisciplinary Environmental Sciences. Education: PhD (specific discipline not stated) Research Interests: John’s research integrates wildlife ecology , evolutionary biology , and conservation science . His work with the Eurasian lynx explores acoustic communication and landscape-scale conservation. He also investigates microevolutionary change in amphipods, facial morphology and behavior in humans, and the life-history consequences of forced migration using the MiKARELIA database. His team pioneers non-invasive wildlife monitoring and human-wildlife coexistence technologies . Scientific Contributions: John has authored or co-authored 42 peer-reviewed publications , including recent articles in Nature Ecology & Evolution , Oecologia , and Plant Ecology . His research spans acoustic ecology, forest integrity, conservation policy, and digital humanities. Awards and Outreach: Featured in national and international media for research and science communication Leads public science trails and citizen science initiatives Developed the international internship program at Lammi Biological Station Supervision and Teaching: John supervises multiple PhD and MSc students and teaches courses such as Technology in Ecological Research and Environmental Monitoring and Mammal Ecology . He is actively involved in doctoral training across interdisciplinary environmental sciences. Labs and Teams: He leads the WildER group at Lammi Biological Station and coordinates research infrastructure across the University of Helsinki. His lab uses advanced tools such as 4G trail cameras, bioacoustic recorders, and UAVs for ecological monitoring.

• Wildlife ecology
• Evolutionary biology
• Conservation biology
• +7 more

R. Jayakrishnan , a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering , University of California, Irvine, is a leading researcher in transportation systems engineering. Ph.D., University of Texas, Austin, Civil Engineering, 1992 M.S., University of Texas, Austin, Civil Engineering, 1987 B.S., Indian Institute of Technology, Madras, India, 1985 His research focuses on dynamic traffic assignment , urban traffic simulation , and real-time information systems to improve congested traffic corridors. He is developing advanced dynamic simulation-assignment models for urban traffic networks. Recent publications highlight his contributions to: Crowdsourced delivery optimization using decomposition heuristics Eco-driving algorithms with V2I communication Multi-furniture placement applications via augmented reality Subscription mobility services cost-benefit analysis Agent-based lane-changing coordination systems These works demonstrate his interdisciplinary approach combining transportation engineering, optimization algorithms, and emerging technologies like AR and connected vehicles.

• Transportation Systems Engineering
• Dynamic Traffic Assignment
• Urban Traffic Simulation
• +3 more

Filip Sondej is a Researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. His work bridges cognitive science and artificial intelligence, focusing on critical safety aspects of modern language models and multi-agent systems. His primary research interests include AI safety, LLM unlearning techniques, Chain-of-Thought faithfulness, AI conflict resolution, and digital sentience. Sondej's work addresses fundamental challenges in ensuring that increasingly powerful language models behave safely and align with human values. Analysis of Sondej's publication record reveals a strong interdisciplinary focus combining cognitive neuroscience methodologies with AI safety research. His recent work demonstrates a clear trajectory from traditional cognitive neuroscience investigations toward cutting-edge AI safety mechanisms, particularly in developing methods for removing unsafe behaviors from language models while maintaining functionality. The publications show sophisticated integration of neural network analysis with human cognitive processes. Sondej collaborates extensively with researchers including Anna Grabowska and Magdalena Senderecka, appearing as co-author on multiple publications in high-impact journals such as NeuroImage, Cerebral Cortex, and Journal of Cognitive Neuroscience. His research program bridges theoretical cognitive science with practical AI safety applications.

• AI safety
• LLM unlearning
• Chain-of-Thought faithfulness
• +5 more

Sonja Sudimac is a Postdoctoral Fellow at the Center for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin. Her research investigates neural and physiological mechanisms through which natural and urban environments influence stress, emotions, and cognitive processes using fMRI and physiological monitoring. Her educational background includes: Dr. rer. nat. (2024) from Freie Universität Berlin MSc in Cognitive Science (2019) from Technische Universität Kaiserslautern MSc in Educational Psychology (2016) from University of Belgrade BSc in Psychology (2015) from University of Belgrade Sudimac's research centers on environmental impacts on brain function, with specific focus on amygdala reactivity during stress exposure, gender-specific responses to nature, and neural correlates of restorative experiences. She employs controlled one-hour walk paradigms in forest versus urban settings to isolate physiological and cognitive changes, emphasizing applications for mental health optimization through environmental design. Analysis of her publication record reveals consistent methodological emphasis on fMRI to quantify neural plasticity changes, particularly in limbic system structures. Recurring themes include nature-induced amygdala deactivation, hippocampal plasticity linked to cognitive restoration, and perceptual processing differences in urbanized environments, spanning interdisciplinary intersections of neuroscience, environmental psychology, and urban planning. No scientific awards are mentioned in available sources. No advisees or research grants are detailed in the provided institutional profile. Sudimac actively contributes to the Environmental Neuroscience Research Team, which conducts collaborative studies on environmental-brain interactions using multimodal neuroimaging and physiological assessment to inform evidence-based design of health-promoting spaces.

• Environmental Neuroscience
• Cognitive Neuroscience
• Stress Physiology
• +3 more

Alexey Evgenievich Osadchiy is a Professor at the National Research University Higher School of Economics (HSE University), where he serves as Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience. He has been working at HSE since 2013 with 21 years of scientific and teaching experience. His academic appointments include Professor at the Faculty of Computer Science in the Department of Data Analysis and Artificial Intelligence. 2023 - Doctor of Science: National Research University Higher School of Economics 2003 - PhD: University of Southern California, specialty "Physical and Mathematical Sciences" and "Neurobiology" 1997 - Specialty: Bauman Moscow State Technical University, major in Autonomous Information and Control Systems Professor Osadchiy's research focuses on digital signal processing, magnetoencephalography (MEG), electroencephalography, inverse problems, synchronization, non-invasive detection, and brain mapping. His work bridges neuroscience, computer science, and medical applications, with particular emphasis on brain-computer interfaces, neurofeedback systems, and precision medicine applications for neurological disorders. He has pioneered methods for real-time brain activity monitoring and developed novel approaches for functional connectivity estimation in neural networks. His recent publications demonstrate a strong trend toward developing hardware-enabled low-latency systems for brain-state dependent stimulation, improving MEG technology with optically pumped magnetometers, and advancing speech mapping techniques for neurosurgical applications. His work increasingly integrates AI and deep learning approaches with traditional neuroimaging techniques to create more precise and accessible brain measurement and modulation systems. Scientific Awards and Recognition HSE University "Recognition - 10 Years of Successful Work" Medal (July 2025) Letter of Gratitude from the Higher School of Economics (September 2021) Letter of Gratitude from the Faculty of Computer Science at HSE (August 2018) Allowance for defending a doctoral dissertation (2023–2026) Bonuses for publications in international peer-reviewed journals (2015–2029) Professor Osadchiy has successfully advised numerous graduate students and doctoral candidates, with eight dissertation research projects currently under his supervision. His research has been supported by significant grants including a Russian Ministry of Education and Science contract for "System for registration and decoding of human brain bioelectric activity" (2014-2017), RFBR grants for "New non-invasive experimental-mathematical paradigm for preoperative magnetoencephalographic mapping of speech cortex" (14-02-00917, 16-04-01863), and projects on "Endogenous enhancement of brain-computer interface efficiency." As Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience, Professor Osadchiy leads a multidisciplinary team working on cutting-edge neurotechnology. His center collaborates with the Federal Brain and Neural Technology Centre at the Federal Medical and Biological Agency, where they established the Laboratory of Medical Neural Interfaces and Artificial Intelligence for Clinical Applications. The center is actively involved in developing brain-computer interfaces for rehabilitation, particularly for stroke patients and those with locomotor function disorders, and has created Russia's first neurointerface for controlling exoskeletons using imagined lower limb movements.

• digital signal processing
• magnetoencephalography
• electroencephalography
• +9 more

Tse-Hsun (Peter) Chen is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. He serves as Director of the SPEAR lab (Software Performance, Analysis, and Reliability lab), which focuses on improving the quality of large-scale software systems through research in log analysis and AIOps, software performance analysis, software testing, and mining software repositories. His research group maintains extensive collaborations with industry partners including ERA Environmental, Ericsson, Microsoft, and BlackBerry. Dr. Chen received his PhD and MSc in Computer Science from Queen's University and his BSc in Computer Science from the University of British Columbia. Dr. Chen's research addresses critical challenges in modern software engineering, including leveraging Large Language Models to assist developers with development, debugging, and maintenance; helping developers debug production systems by utilizing rich software data; providing optimization suggestions by analyzing user usage data; improving software quality assurances in DevOps environments; and mining software development history for useful developer suggestions. His work spans Software Engineering, Performance Engineering, DevOps & AIOps, Software Testing, and Mining Software Repositories, with a strong emphasis on practical applications that bridge academic research and industrial practice. His recent publications (2024-2025) demonstrate a pronounced shift toward integrating Large Language Models into various aspects of the software engineering lifecycle, particularly in log analysis, fault localization, code generation, and performance testing. This trend reflects the growing importance of AI in software engineering research and practice. Gina Cody Research award (2022) Ranked as one of the most active software engineering researchers worldwide by an independent study published in JSS Dr. Chen has successfully advised numerous PhD and Master's students, many of whom have secured prestigious academic positions. Several of his graduated PhD students now hold tenure-track assistant professor positions at institutions including York University, University of Alberta, DePaul University, and IIT Gandhinagar. His SPEAR lab has developed research tools that have been integrated into industrial practice for ensuring the quality of large-scale enterprise systems. The SPEAR lab, under Dr. Chen's leadership, has established itself as a leading research group in software engineering, with particular expertise in software performance analysis, log analysis, and AI applications for software engineering. The lab maintains strong industry connections and has produced numerous high-impact publications in top-tier software engineering venues including ICSE, FSE, ASE, and TSE.

• Software Engineering
• Performance Engineering
• DevOps & AIOps
• +3 more

David Nipperess is an Honorary Lecturer in the School of Natural Sciences at Macquarie University, where he contributes to research and academic initiatives in biodiversity and ecology. His work spans conservation biology, phylogenetics, and urban ecology, with a strong focus on practical applications for environmental management and policy. His research interests center on biodiversity assessment, phylogenetic and functional diversity, and the impacts of climate change and urbanization on ecological systems. He investigates topics such as species inventory completeness, conservation prioritization, and the ecological integrity of natural and constructed habitats, particularly in urban and riparian environments. The trends in his recent publications reflect a deep engagement with global and regional conservation challenges, integrating decision science, ecosystem services, and biodiversity monitoring. His work frequently addresses the interplay between human activity and ecological resilience, especially in urban forests and wetlands. David Nipperess has been recognized through extensive media coverage, with his research picked up by over 190 news outlets and referenced in policy sources and Wikipedia. His work has also been widely shared on social media and academic platforms like Mendeley. He has been involved in significant research projects such as the Green Cities Fund initiative on urban green space and biodiversity investigations in aquifers. His collaborations span multiple institutions and disciplines, reflecting a networked, interdisciplinary approach to environmental science. David Nipperess is affiliated with Macquarie University’s research ecosystem and contributes to high-impact scientific discourse through publications in journals like Nature Climate Change and Nature Communications . His research outputs include peer-reviewed articles, commissioned reports, and policy-relevant assessments, particularly for the New South Wales government.

• Biodiversity
• Phylogenetics
• Climate Change
• +12 more

Dr. Xiaohan Yu is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing, joining in December 2023. Previously, he completed his doctoral studies at Griffith University and served as a Research Fellow at the ARC Research Hub for Driving Farming Productivity. His research focuses on Ultra-Fine-Grained Visual Categorization (Ultra-FGVC), Smart Farming, and Automated Crop Cultivar Identification, with over 70 publications in top-tier venues like ICCV, CVPR, and IEEE Transactions. He holds editorial roles at Pattern Recognition and SN Computer Science , and received the APRS Early Career Award (2022) and ACM MM 2024 Outstanding Area Chair distinction. Education: Completed doctoral studies in Artificial Intelligence at Griffith University, Australia. Research Interests: Ultra-Fine-Grained Visual Categorization (Ultra-FGVC) Smart Farming and Agricultural Robotics Computer Vision Applications in Healthcare (e.g., trachoma detection) Deep Learning, Continual Learning, and Domain Adaptation Key Contributions: Pioneered Ultra-FGVC research, developed frameworks like Mix-ViT and CLE-ViT, and contributed to benchmarking multi-object tracking in farming. His work bridges pattern recognition with real-world applications in agriculture and healthcare. Scientific Awards: Australian Pattern Recognition Society (APRS) Early Career Researcher Award 2022 ACM Multimedia 2024 Outstanding Area Chair Award Advising & Grants: Actively involved in editorial roles (Area Chair for ACM MM, IJCNN) and grant-funded research through ARC hubs. His work is supported by collaborations in agriculture and AI-driven solutions for crop cultivar identification. Labs & Affiliations: Member of Macquarie's Smart Green Cities Research Centre and Frontier AI Research Centre , advancing interdisciplinary AI applications.

• Ultra-Fine-Grained Visual Categorization
• Smart Farming
• Automated Crop Cultivar Identification
• +3 more

Ryan Sponseller is a Professor at the Department of Ecology and Environmental Science, Umeå University, and serves as Director of Studies. His research focuses on biogeochemical processes in boreal and Arctic ecosystems, particularly stream hydrology, riparian zone dynamics, and climate change impacts. He investigates how human activities, land use changes, and extreme climatic events affect carbon, nitrogen, and dissolved organic matter cycling in freshwater systems. Key research themes include: Carbon dioxide and methane dynamics in streams and lakes Effects of forest management and drought on biogeochemical fluxes Landscape controls on stream network functioning Long-term ecosystem responses to disturbances His work integrates field experiments, long-term monitoring (e.g., Krycklan Catchment Study), and interdisciplinary approaches to address global environmental challenges. Recent studies highlight browning trends, riparian zone heterogeneity, and the role of groundwater-stream interactions in regulating ecosystem processes. Publications emphasize methodological advances in measuring aquatic metabolism and greenhouse gas emissions, while also addressing policy-relevant issues like sustainable forest management and climate mitigation strategies.

• Biogeochemistry
• Freshwater Ecology
• Climate Change Impacts
• +3 more

Jonas Beskow is a Professor and Head of Division at the Division of Speech, Music and Hearing at KTH Royal Institute of Technology. His research focuses on multimodal interaction, speech synthesis, robotics, and human-robot interaction. He leads the Learning style variation in nonverbal behaviour for social robots and agents project as part of Digital Futures, a cross-disciplinary research center. His work involves developing social robots like the Furhat head and advancing technologies for gesture synthesis, audio-driven motion, and adaptive intelligent systems. He holds roles as Co-PI for the Advanced Adaptive Intelligent Systems (AAIS) and Adaptive Intelligent Homes (AIH) projects. His research spans robotics, computer graphics, and clinical applications such as dementia detection through multimodal patient behavior analysis. Beskow also contributes to educational initiatives, supervising courses in computer science and engineering, including degree projects in machine learning and systems engineering. Publications highlight innovations in gesture generation, speech-driven animation, and socially-aware robotics. Collaborations with institutions like Stockholm University and RISE Research Institutes drive interdisciplinary solutions. His work bridges artificial intelligence, human-computer interaction, and assistive technologies, emphasizing ethical and societal impacts of emerging digital systems.

• Multimodal Interaction
• Speech Synthesis
• Robotics
• +3 more

David Kurz is a Visiting Assistant Professor in Environmental Studies at Boston College. He holds a PhD in Environmental Science, Policy, and Management from UC Berkeley, an MPhil in Zoology from the University of Cambridge, and an AB in Ecology & Evolutionary Biology from Princeton University. His interdisciplinary research focuses on the human dimensions of wildlife conservation, climate policy, and socio-ecological systems. Dr. Kurz explores how climate change, urbanization, and land-use shifts impact ecosystems and human communities. Key research projects include studying bearded pig distributions in Borneo, cultural implications of lobster die-offs in the Long Island Sound, and equity in urban green space access. His work bridges natural and social sciences to address challenges in biodiversity conservation and climate resilience. Recent publications highlight topics like wildfire biodiversity overlaps in California, socio-ecological dynamics in Malaysian Borneo, and the impacts of the COVID-19 pandemic on wildlife. He emphasizes mentorship, guiding students toward real-world problem-solving and engaged scholarship. Dr. Kurz’s teaching and research align with Boston College’s commitment to environmental justice and interdisciplinary collaboration.

• Conservation Science
• Human Dimensions of Wildlife
• Climate Policy
• +5 more

Dr. Wenjing Jia is an Associate Professor at the University of Technology Sydney (UTS), affiliated with the School of Electrical and Data Engineering within the Faculty of Engineering and IT. She holds a PhD in Computing Sciences (UTS, 2007), Master's in Communications and Information Systems (Fuzhou University, 2002), and a Bachelor's in Communications Engineering (Jilin University, 1999). Her research focuses on image analysis, computer vision, and AI applications in healthcare, transport, and defense. Key areas include text detection in challenging environments, medical image super-resolution, and crowd surveillance systems. She leads projects with industry partnerships, securing over $900K in funding. Dr. Jia is also a recognized educator with 12+ years of teaching experience, specializing in internetworking subjects. She organizes international conferences (e.g., ICDAR2019, TrustCom-2017) and serves as a Cisco Certified Instructor Trainer. Awards include the Science and Technology Award and a finalist spot in the Cisco Women in IT Academia Award. Education: PhD in Computing Sciences, UTS (2007) MSc in Communications and Information Systems, Fuzhou University (2002) BEng in Communications Engineering, Jilin University (1999) Research Highlights: Developed algorithms for low-light text detection and medical image enhancement Advanced crowd counting and violence detection in surveillance systems Contributions to OCT image super-resolution and LiDAR point cloud analysis Teaching & Leadership: Lead CI of Teaching & Learning grants Legal Main Contact for UTS Cisco Networking Academy Deputy Head - Teaching and Learning (secondee) Awards: Excellent Thesis Award, Science and Technology Award (2019), and recognition in Women in IT Academia. Her work bridges academia and industry, with over 130 publications and active roles in conference organization and technology transfer.

• Artificial Intelligence
• Image Analysis
• Computer Vision
• +7 more

Dr. Ricardo Rocha is an Associate Professor in Conservation Science and Tutorial Fellow at Jesus College, University of Oxford. He leads research addressing conservation challenges under global change, focusing on biodiversity restoration post-habitat loss, human-modified landscapes, and evidence-based decision-making. His work integrates ecological theory with large-scale field studies in tropical and island ecosystems. Key research interests include taxonomic/functional responses to habitat fragmentation, secondary forest regeneration, and managing agricultural landscapes for biodiversity. He investigates invasive species impacts (e.g., cats, geckos) and ecosystem service provision, using methods like DNA metabarcoding and passive acoustic monitoring. Dr. Rocha contributes to global conservation initiatives such as BioTIME 2.0 (biodiversity time series database) and the SOPWA project (sustainable oil palm in West Africa). His expertise spans tropical ecosystems, island biogeography, and interdisciplinary approaches to conservation. He collaborates widely, publishing on bat ecology, invasive species dynamics, and conservation policy. Recent work emphasizes island systems (Madeira, São Tomé) and human-wildlife interactions in agricultural settings.

• Conservation Science
• Biodiversity
• Habitat Restoration
• +7 more

Jun Shen is a Professor at the School of Computing and Information Technology, University of Wollongong. He specializes in computational intelligence, cloud computing, and big data applications, with a focus on AI-driven solutions for real-world challenges in transport systems, healthcare, education, and environmental management. He has secured over 40 research grants totaling AU$4.5 million and supervised 26 completed PhD projects. His work spans interdisciplinary areas including bioinformatics, smart manufacturing, and digital health. Research interests include bio-inspired algorithmic optimization, AI in arts/media, and edge computing for IoT systems. He has pioneered research centers in applied computing since 2014 and holds editorial roles in top journals like IEEE Transactions. As an IEEE Distinguished Lecturer, he actively promotes AI ethics and interdisciplinary collaboration. Recent publications emphasize adversarial machine learning defenses, UAV systems, and multimodal data fusion. His supervision includes projects in intelligent transport systems, cloud computing, and e-learning. Grants include projects on resilient energy systems and UAV geolocation verification. Leadership roles include leading over 20 researchers and chairing conferences. He advocates for digital transformation in public services and has conducted fieldwork at MIT, UCI, and Georgia Tech.

• Computational Intelligence
• Cloud Computing
• Big Data Applications
• +6 more