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Surya NurzamanView profile

Senior Lecturer

• Soft Robotics
• Embodied Intelligence
• Bio-inspired Robotics
• +3 more

Surya Nurzaman is a Senior Lecturer at Monash University Malaysia, specializing in soft robotics, embodied intelligence, and bio-inspired systems. He holds a PhD from Osaka University (2011) and has held research fellowships at ETH Zürich and the University of Cambridge. His work bridges robotics engineering with biomedical applications, emphasizing interdisciplinary collaboration. He teaches courses such as Dynamics II, Electromechanics, and Engineering Design. Research focuses on soft robotics for industrial and biomedical applications, including soft grippers, exoskeletons, and adaptive control systems. Projects include aerial robotics for oilfield inspection and AI-driven sensor frameworks. Nurzaman has received awards like the ITEX 2021 Gold Medal and the 2024 School of Engineering Excellence Award. He is actively involved in editorial roles for journals like IEEE Robotics & Automation Magazine and Frontiers in Robotics and AI. His contributions span over 50 publications, with recent work addressing tremor prediction, soft sensor modeling, and cross-domain learning. Collaborations include international partners in Japan, Switzerland, and the UK. Nurzaman’s research aligns with UN SDGs, particularly in advancing sustainable industry solutions and health innovations.

T. Thang Vo-DoanView profile

Lecturer

• Biorobotics
• Cyborg Insects
• Bio-inspired Robotics
• +13 more

Dr T. Thang Vo-Doan is a Lecturer at the University of Queensland in the School of Mechanical & Mining Engineering . He directs the UQ Biorobotics Lab and serves as an affiliate of both the Future Autonomous Systems and Technologies and the Queensland Brain Institute . PhD in Mechanical Engineering, Nanyang Technological University (2016) M.Eng. in Manufacturing Engineering, Ho Chi Minh City University of Technology (2010) B.Eng. in Mechanical Engineering, Ho Chi Minh City University of Technology (2008) His research focuses on biohybrid robotics , integrating biological systems with technology through cyborg insects , bio-inspired robotics , and fast lock-on tracking systems. He explores insect biomechanics and brain imaging in untethered insects , developing platforms for search-and-rescue missions and environmental monitoring. Recent work trends include: 2025: On-demand climbing control for cyborg beetles 2024: High-resolution insect tracking and soft textile muscles 2023: Intelligent insect–computer hybrid robots 2022: Autonomous navigation and robotic leg design 2018: Ultralightweight living robots Scientific honors: Human Frontier Science Program Cross-disciplinary Fellowship (2019-2022) He supervises projects on: Insect-machine hybrid robots Insect-inspired robotics Fast lock-on tracking Insect locomotion biomechanics Current grants include: NHMRC IDEAS Grant (2025-2028): Infrared and AI for Ross River virus surveillance Queensland Corrective Services Grant (2024-2027): Wastewater drug misuse analysis

• Computational Logic
• Artificial Intelligence
• Knowledge Representation
• +5 more

Roles and Affiliations: Professor of Computational Logic at the Department of Computing, Imperial College London. Part of the Faculty of Engineering. Active in research, teaching, and publication in computational logic, artificial intelligence, and formal systems. Research Interests: Focuses on computational logic with applications to knowledge representation, action and agency theories, temporal reasoning, normative systems, legal reasoning, and formal organization models. Recent work also intersects with bioinformatics and proteomics analysis. Publications: Over 50 publications since 1986, including foundational work on the Event Calculus, normative systems, and formal methods in multi-agent systems. Notable contributions span deontic logic, agent coordination, and applications in legal reasoning and bioinformatics. Recent work emphasizes logic-based approaches to activity recognition and proteomic profiling. Teaching: Taught advanced courses on modal and temporal logic (2008–2009) and knowledge representation (2017–2018). Course materials emphasize formal semantics, nonmonotonic reasoning, and logic programming. Labs/Teams: Involved in interdisciplinary projects on computational systems, including collaborations with bioinformatics researchers and multi-agent system developers.

Jessica KorteView profile

Research Fellow

• Human-Computer Interaction
• Machine Learning
• Participatory Design
• +3 more

Dr. Jessica Korte is an Honorary Senior Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on inclusive technology design, particularly involving marginalized groups like Deaf communities. She leads the Auslan Communication Technologies Pipeline project, an AI-based system for Auslan signing, supported by a TAS DCRC Fellowship. Her work emphasizes participatory design with children and minority groups, including international workshops and distributed design methodologies. Her academic background includes a PhD in Human-Centered Computing (2017) and an Honours thesis on requirements prototyping with Deaf children (2012). Key research areas span Human-Computer Interaction, Machine Learning, and accessibility technologies. Recent projects include Zelda Smart Home prototypes and collaborative efforts like the World's Most Inclusive Distributed Participatory Design Project. Dr. Korte actively recruits research students interested in Auslan context technologies, such as machine learning, video GANs, and procedural animation. She has published extensively in venues like the International Journal of Child-Computer Interaction and CHI Conference series, addressing topics ranging from sign language recognition to ethical design considerations. Key Achievements: 2024 TAS DCRC Fellowship, global participatory design leadership, over 30 conference publications Grants & Awards: TAS DCRC Fellowship, ARC CoEDL funding Labs/Teams: Auslan Communication Technologies Pipeline, Zelda Smart Home Project, Distributed Participatory Design Network

Sandhya KortagereView profile

Professor

• Neurodegenerative Diseases
• Pharmacology
• Molecular Biology
• +5 more

Sandhya Kortagere, PhD, is a Professor in the Department of Microbiology & Immunology at Drexel University College of Medicine. She earned her PhD in Molecular Pharmacology from the National Institute of Mental Health and Neurosciences, India (2003). Her research focuses on developing small-molecule therapeutics for neurodegenerative diseases, particularly Parkinson’s disease (PD), targeting dopamine receptors and catecholamine transporters. Her work includes designing biased signaling agonists to mitigate Levodopa-induced dyskinesia (LID) and impulsive/compulsive behaviors, as well as allosteric modulators of monoamine transporters to block psychostimulant effects. Her research also addresses PD-related non-motor symptoms like mild cognitive impairment, leveraging compounds like SK609. Additionally, she explores neuroinflammation and excitotoxicity pathways in PD, developing neuroprotective agents like KA592 and GT951. In infectious diseases, her lab designs antimalarials targeting Plasmodium falciparum protein interactions, with compounds licensed to Medicines for Malaria Venture (MMV). Key Projects: Biased D3R agonists for LID, dopamine/norepinephrine modulators for cognitive deficits, and allosteric modulators of DAT/SERT. Commercialization: Founded PolyCore Therapeutics to advance PCT-3010 (SK609) into clinical trials for PD. Awards include the Drexel Institutional Service Award (2024) and Provost Solutions Fellowship (2022-23). Her lab collaborates with researchers like Dr. Ole Mortensen and Dr. Jim Harris (PolyCore CEO), advancing translational drug development.

Justin L MatthewsView profile

Associate Professor

• Cognitive Psychology
• Social Psychology
• Virtual Reality Applications
• +3 more

Dr. Justin L. Matthews is an Associate Professor in the Department of Psychology at California State University, Monterey Bay. His research focuses on cognitive and social psychology, with a particular emphasis on spatial reasoning, language framing, virtual reality applications, and embodied cognition. He has contributed to studies on digital heritage preservation, perspective-taking mechanisms, and physical activity self-worth measurement. Education: Dr. Matthews holds a Ph.D. in Cognitive and Information Sciences from the University of California, Merced (2011-2014), an M.S. in Social and Cognitive Science from UC Merced (2006-2011), and multiple degrees from California State University, Fresno, including a B.A. in Psychology (2000-2002). He also earned an A.A. in Liberal Studies from College of the Sequoias (1998-2000). Research Interests: His work bridges cognitive and social psychology, exploring how spatial and social distances influence perception and decision-making. He investigates how virtual experiences shape artifact interpretation, the linguistic framing of events, and the cognitive underpinnings of perspective-taking. His recent focus includes forensic psychology assessments and physical activity-related self-worth in women. Awards: In 2020, he received the CSUMB Faculty Award for Excellence in Professional Application, recognizing his applied research impact. He is actively involved in community service, serving on the Monterey County Equal Opportunity and Civil Rights Advisory Commission (2016-2021). Advising and Grants: While specific grants are not detailed here, his research record indicates sustained engagement with funded projects in psychology and cognitive sciences. He has collaborated widely, mentoring students in experimental design and data analysis. Labs/Teams: No specific lab affiliations are listed, but his work often involves interdisciplinary collaborations in virtual reality, forensic psychology, and social cognition research.

Patrick J. KrugView profile

Professor

• Marine Biology
• Evolutionary Biology
• Marine Ecology
• +4 more

Patrick J. Krug is a Professor of Biological Sciences at California State University, Los Angeles, specializing in marine biodiversity, evolutionary processes, and systematics of sea slugs. His research focuses on the ecological and evolutionary consequences of larval dispersal, host specialization, and photosynthesis in animals. He leads a lab studying Sacoglossa, a diverse group of sea slugs, particularly their kleptoplastic abilities and speciation patterns. His work integrates molecular, morphological, and ecological data to understand marine diversity and biogeography. Key research areas include the genetic and ecological drivers of speciation, the role of larval strategies in population connectivity, and the evolution of symbiotic relationships in marine invertebrates. He has published extensively on sea slug phylogeny, biogeography, and chemical defense mechanisms. Collaborative projects include studies on polyketide biosynthesis and the impact of Pleistocene glacial cycles on species distribution. Dr. Krug has secured grants such as the NSF RUI funding for projects on keystone molecules in estuaries and the evolutionary origins of air-breathing in gastropods. His lab emphasizes integrative approaches, combining fieldwork, molecular techniques, and computational analyses. He is actively involved in global taxonomic revisions of sea slugs and has contributed to biodiversity surveys in regions like Bocas del Toro, Panama, and the Caribbean.

Nuria Pelechano GomezView profile

Professor

• Character Animation
• Virtual Humans
• Immersive Environments
• +3 more

Nuria Pelechano Gomez is a Professor at the Department of Computer Science, Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics (FIB). She leads research in the ViRVIG group (Visualització, Realitat Virtual i Interacció Gràfica), focusing on character animation, virtual humans, and crowd simulation. Her work emphasizes immersive environments and real-time rendering applications. Education: PhD in Computer Science from UPC (thesis: 'Real-Time Avatar Animation Synthesis in Virtual Reality' by Yun, H. 2023). Research interests include motion capture, crowd behavior modeling, and VR/AR applications. Recent work explores sparse data reconstruction, avatar customization, and disease spread simulations. She has contributed to over 140 publications, including high-impact journals like ACM Transactions on Graphics and Computer Graphics Forum. Awards include 'Best Teaching Assistant' in 2005 and 2006. Active in academic governance, she serves on program committees for top conferences (e.g., Eurographics, SIGGRAPH Motion in Games). Her projects (e.g., MPACT, XR4ED) are funded by national and EU grants. Labs/Teams: ViRVIG Group at UPC, collaborating with international institutions on projects like CAVAST (Crowd Animation, Visualization, and Simulation Testbed).

Sabesan YoganathanView profile

Associate Professor

• Medicinal Chemistry
• Drug Discovery
• Natural Products
• +5 more

Sabesan Yoganathan is an Associate Professor in the Department of Pharmaceutical Sciences at St. John's University, part of the College of Pharmacy and Health Sciences. He joined the faculty in 2014 after completing a postdoctoral fellowship at Yale University under Professor Scott Miller. His research focuses on developing chemical and biological approaches to discover novel medicinal natural products and their analogs, targeting infectious diseases and cancer. Dr. Yoganathan holds a PhD in Chemistry from the University of Alberta and a BS in Chemistry (Biological Specialization) from McMaster University. His educational background includes undergraduate training at McMaster University as an NSERC research fellow, followed by doctoral research under Professor John Vederas at the University of Alberta. His postdoctoral work at Yale advanced peptide-based catalysis for site-selective modification of natural products like daptomycin and vancomycin, enabling the creation of drug analogs. Research Interests: The Yoganathan lab integrates chemistry and biology to design new drug candidates, including studies on multidrug resistance mechanisms, peptide-based catalysis, and natural product synthesis. Key areas include benzimidazole derivatives for cancer therapy, nanoparticle-based antimicrobials, and overcoming ABC transporter-mediated resistance in cancer cells. Teaching Contributions: He teaches advanced medicinal chemistry courses (e.g., PHS 3508, PHR 5106) to Pharm.D. students and mentors graduate/undergraduate researchers. His team explores topics like synthetic methodologies for drug analogs and drug delivery systems. Labs & Teams: The interdisciplinary Yoganathan Lab emphasizes translational research, with recent successes in preclinical drug development, nanomedicine, and drug repurposing strategies. The lab collaborates on projects such as novel BMP receptor agonists and inflammation-modulating agents for preterm birth prevention.

Andrei-Constantin BraitorView profile

Researcher

• Control Engineering
• Power Systems
• DC Microgrids
• +3 more

Andrei-Constantin Braitor is a researcher specializing in control engineering and power systems, with a focus on DC microgrids, stability analysis, and power electronics. His work addresses challenges in voltage stability, overvoltage/overcurrent protection, and control design for DC microgrids in hybrid electric aircraft and meshed networks. He has collaborated with notable researchers such as Houria Siguerdidjane and Alessio Iovine on projects involving droop control, admittance matrix computation, and consensus-based control algorithms. Research Interests: DC Microgrid Stability and Control Distributed Control Systems Power Electronics Integration Aerospace Power Systems Nonlinear Dynamics in Power Networks His recent publications (2020-2025) explore advanced hierarchical control frameworks, fault-tolerant designs, and educational applications of control engineering through animated cartoons. He has contributed to both theoretical stability analysis and practical control implementations in meshed and parallel-operated converter systems. No scientific awards, grants, or lab affiliations were explicitly mentioned in the provided texts. His student advising record is currently empty.

• Education Research
• Computer Animation
• Interactive Television
• +4 more

Mark Carey is a Lecturer in the School of Computing, Engineering and Physical Sciences at the University of the West of Scotland, specializing in the Computer Animation degree program. He currently serves as Level 8 Year Leader for the programme. His teaching areas include Visual Effects, Professional Portfolio Production, Audio Visual techniques, and Animation. His research focuses on Education Research, particularly the application of peer review to improve student assessment and understanding. He has also explored Interactive Television content, Animation, and Media Technology. Additional expertise spans Audio/Visual production, compositing, image editing, and railway history. Externally, Carey has held numerous roles as an External Examiner and Validator at institutions including Newcastle College, Manchester Metropolitan University, and the University of Lincoln, with terms spanning from 2002 to 2022. These roles highlight his contribution to curriculum validation and academic standards across multiple institutions. His recent work emphasizes VR applications in education, such as the MoonBase VR project exploring gamified programming learning environments. Earlier research addressed interactivity in archival TV content, reflecting his long-standing interest in media technology and adaptation. Despite no formal scientific awards listed, his contributions to educational innovation and media technology demonstrate impactful scholarly engagement. Advising and grant details are not explicitly documented in the provided text.

Merry-Lynn McDonaldView profile

Associate Professor

• Genetic Epidemiology
• COPD
• Cachexia
• +5 more

Dr. Merry-Lynn McDonald is an Associate Professor in the Department of Medicine's Division of Pulmonary, Allergy, and Critical Care Medicine at the University of Alabama at Birmingham (UAB). She is also Director of Integrative 'Omics in the same division. Her academic roles include appointments across multiple UAB schools, including the School of Public Health and Academic Joint Departments in Genetics. Dr. McDonald holds dual faculty status in the School of Medicine and School of Public Health, reflecting her interdisciplinary focus. Education: PhD in Molecular Biophysics from Baylor College of Medicine, MS in Epidemiology from University of Saskatchewan, and BS in Biochemistry from University of Waterloo. Postdoctoral training at Brigham and Women's Hospital in Network Medicine. Research Focus: Her work centers on genetic epidemiology of complex traits, particularly COPD cachexia, osteoarthritis, and smoking-related comorbidities. She leads the McDonald Laboratory of Integrative 'Omics, leveraging omics data (genomics, proteomics, metabolomics) to uncover disease mechanisms. Key projects include the Million Veteran Program (MVP), Trans-Omics for Precision Medicine (TOPMed), and Cachexia in COPD Etiology of Low-Lean Muscle (CCELL). Grants & Funding: Active grants from NIH (K99/R00, NHLBI) and the Parker B. Francis Foundation. Her research explores network medicine approaches to COPD, osteoarthritis prevalence in veterans, and biomarker development for lung disease comorbidities. Labs/Teams: Directs the Integrative 'Omics Lab, collaborating with multidisciplinary teams across UAB's Lung Health Center, CAMBAC, and the Nutrition Obesity Research Center (NORC). The lab actively recruits postdoctoral fellows, bioinformaticians, and students with expertise in computational biology and statistical genetics.

Lei XieView profile

Professor

• Bioinformatics
• Systems Biology
• Molecular Modeling and Simulation
• +6 more

Lei Xie is a Professor in the Department of Computer Science at Hunter College, CUNY, and an Adjunct Professor in Neuroscience at Weill Cornell Medicine, Cornell University. He holds a PhD in Chemistry from Rutgers University (2000) and an MS in Computer Science from Rutgers (2000), alongside a BS in Polymer Physics from the University of Science and Technology of China (1995). His research focuses on integrating artificial intelligence and machine learning with biomedicine to address challenges in drug discovery, systems biology, and personalized medicine. Research Highlights: Developing novel machine learning algorithms for signed networks, high-dimensional data, and generative AI for drug design. Structural systems pharmacology frameworks for drug action modeling, targeting Alzheimer’s, cancers, and bacterial infections. Multi-scale modeling combining molecular dynamics and machine learning for drug-target interactions. Grants: NIH (R01GM122845, R01AG057555, R21AG083302) and NSF (NSF2230354) funded projects on methodology development and translational sciences. Labs & Collaborations: Leads the Brain & Mind Research Institute lab at Weill Cornell, collaborating with researchers at UVA, Rutgers, and other institutions on projects like Alzheimer’s drug repurposing and anti-cancer therapies.

Stephen RamseyView profile

Associate Professor

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Andrew HoeghView profile

Associate Professor

• Bayesian Statistics
• Statistical Ecology
• Spatiotemporal Modeling
• +4 more

Dr. Andrew Hoegh is an Associate Professor of Statistics at Montana State University (MSU), affiliated with the Department of Mathematical Sciences within the College of Letters & Science. He leads the Bozeman Environmental and Ecological Statistics (BEES) research group, focusing on Bayesian computation, spatiotemporal modeling, and ecological applications. His work bridges statistical theory and practical problems in environmental science, epidemiology, and sports analytics. Education: Ph.D. (2016) Virginia Tech; M.S. (2008) Colorado School of Mines; B.A. (2006) Luther College. Research Interests: Bayesian statistics, statistical ecology, computational methods for complex data, and pathogen dynamics in wildlife. His group addresses challenges like bat ecology, zoonotic spillover, and aquatic invasive species using advanced statistical techniques. Awards: Kopriva Faculty Lectureship (2021), multiple nominations for research and advising awards, and grants from institutions like Cornell University and the USGS. Teaching: Courses include Bayesian Statistics, Spatial Data Analysis, and Statistical Computing. Current projects involve bat monitoring, virus spillover modeling, and agent-based movement simulations. Labs/Groups: BEES group meets biweekly, collaborating with USGS scientists. Active projects include bat acoustic data analysis, zebra mussel detection, and radar-based animal movement tracking.