جستجوی استاد راهنمای دانشگاهی

Helen Huangمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroengineering
• Locomotion
• +۳ مورد دیگر

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Marc Ratkovicمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Social Science Methodology
• +۳ مورد دیگر

Professor Marc Ratkovic leads the Chair of Social Data Science at the University of Mannheim's Faculty of Social Sciences. His work focuses on integrating machine learning and large language models (LLMs) into social science methodology, particularly for statistical and causal inference. Recent initiatives include organizing an AI hackathon with Springer Nature to explore AI's role in scientific writing and presenting at the 2025 University:Future Festival on GPT's impact on academic clarity. He collaborates with Thomas Gschwend and oversees a team advancing quantitative social science through server systems and master's curricula. Research: Prioritizes computational methods in political science and interdisciplinary applications Events: Organized international hackathons and participated in global academic festivals His team includes research assistants like Jacob Chen, who focuses on LLMs for scientific writing quality. No formal awards listed, but active in shaping AI-driven research practices. Secretariat contact: sekretariat.ratkovic@uni-mannheim.de

Richard W. Lachmanمشاهده پروفایل

استاد

• Convergent Media
• Digital Documentary
• Interactive Storytelling
• +۳ مورد دیگر

Dr. Richard W. Lachman is a Professor in Digital Media at Toronto Metropolitan University's RTA School of Media, while currently on leave. He serves as Director of Zone Learning, Creative Technology Research and Development, and the Experiential Media Institute. Director, Zone Learning (Toronto Met) Director, Creative Technology R&D Director, Experiential Media Institute His research explores convergent media, digital documentary, collaborative work, and new storytelling forms. He specializes in prosocial VR applications, interactive cinema, and emotional regulation through games. Current projects include immersive narratives for mental health and AI-enhanced media production. Recent scientific publications focus on: Virtual reality applications for clinical psychology Interactive storytelling in metaverse environments Conversational AI design challenges Prosocial impact of immersive media AI integration in entertainment workflows Awarded the Gemini Award for creative production, Lachman collaborates with Discovery Channel Canada, NFB, CTV, and the Banff Centre for the Arts. His work spans entertainment properties, educational gamification, and cross-disciplinary innovation in STEAM education. Over 25 years of industry experience in computer games shipping millions of copies Featured in New York Times, Time Magazine, and USA Today Exhibited at American Museum of the Moving Image

Ken Hylandمشاهده پروفایل

استاد

• Academic Discourse
• Writing
• Language Education
• +۷ مورد دیگر

Ken Hyland is an Honorary Professor at the University of East Anglia (School of Education & Lifelong Learning) and an Honorary Professor at Jilin University in China. With over 29 books and 280 papers, he is recognized as the world's leading scholar in language and linguistics by the Stanford/Elsevier Top 2% of World Scientists analysis. Former Director of the Centre for Applied English Studies at the University of Hong Kong Former Professor at UCL Institute of Education, London Foundation Fellow of the Hong Kong Academy of the Humanities His research spans academic discourse , writing pedagogy , language education , and metadiscourse analysis , with a focus on second language writing , feedback practices , and AI's role in writing . Recent projects explore ChatGPT's rhetorical strategies and digital literacy in writing evaluation. His publications demonstrate expertise in corpus linguistics , genre analysis , and cross-cultural communication . Articles show trends in analyzing AI-generated texts, medical discourse, and evolving academic writing conventions. 2022: Most Influential Scholar in Global Applied Linguistics Co-editor of Applied Linguistics and founding co-editor of Journal of English for Academic Purposes Ken has taught in Sudan, Saudi Arabia, Malaysia, Papua New Guinea, New Zealand, and Hong Kong. He contributes to projects like the LIT Educational Hub (2021–2023), enhancing digital university experiences in BRI countries.

Warut Khern-am-nuaiمشاهده پروفایل

دانشیار

• Information Systems
• Management Information Systems
• Online Marketplaces
• +۵ مورد دیگر

Warut Khern-am-nuai serves as Associate Professor of Information Systems at McGill University's Desautels Faculty of Management, where he directs the Analytics, AI and Advanced Digital Technologies Initiative and Business & Management Research Centre while co-directing the Retail Innovation Lab. His cross-disciplinary work bridges information systems, artificial intelligence, and business operations with significant industry impact. His educational credentials include a Ph.D. in Management (MIS) with Computer Science minor from Purdue University, M.S. in Economics from Purdue, MBA (Honors) from Thailand's National Institute of Development Administration, and B.Eng. in Computer Engineering (First-Class Honors) from King Mongkut Institute of Technology Ladkrabang. Dr. Khern-am-nuai's research centers on online marketplace dynamics , predictive analytics for business , and AI-driven platform design , with special focus on user behavior, security implications, and economic outcomes. His work employs rigorous experimental and data-driven methodologies to address real-world challenges in retail, e-commerce, and digital platforms. Analysis of his recent publications reveals a strong trajectory toward fairness in machine learning systems , behavioral impacts of platform design , and AI applications in post-pandemic retail . These studies consistently leverage large-scale user data and experimental approaches to generate actionable business insights across diverse contexts. His scientific recognition includes: AIS Early Career Award (2023) ISS Sandy Slaughter Early Career Award (2022) Invitational Fellowship from Japan Society for Promotion of Science (2023) Multiple teaching honors including Poets&Quants Top 50 Professor (2022) Dr. Khern-am-nuai has secured over $1.1 million in competitive research funding, including SSHRC Insight Grants for "AI Generated Content and the Future of Online Platforms" ($143,510) and NSERC Discovery Grants for "Helping Retail Industry Navigate the Post-Pandemic World with AI" ($155,000). His grant portfolio demonstrates exceptional success in translating theoretical research into practical business solutions through industry partnerships. As leader of the Retail Innovation Lab and Analytics Initiative, he drives collaborative research connecting academic rigor with industry challenges, particularly in applying AI to retail analytics, supply chain optimization, and consumer behavior prediction through interdisciplinary team structures.

Seongsook Choiمشاهده پروفایل

مدرس ارشد

• Interdisciplinary Studies
• Education
• Linguistics
• +۵ مورد دیگر

Dr. Seongsook Choi is a Senior Lecturer in Interdisciplinary Studies at the Moray House School of Education and Sport, University of Edinburgh. Their work focuses on interdisciplinary learning, teaching, and discourse analysis. They lead the Interactional Discourse Lab (IDLab), developing tools for mapping spoken interaction patterns in interdisciplinary contexts. Current research includes a forthcoming book, Interdisciplinary Discourse: Communicating across Disciplines (Palgrave Macmillan), and computational analysis of academic collaboration dynamics. Education & Affiliations : Affiliated with the Institute for Education, Community & Society (IECS) and the Centre for Research in Digital Education. Office SJL4.01 at Holyrood Campus, Edinburgh (EH8 8AQ). Research Interests : Interdisciplinary pedagogy, spoken discourse analysis, disciplinary identity dynamics, and collaborative knowledge construction. Specializes in analyzing interactional discourse in higher education through tools like the IDLab, which visualizes communication patterns in interdisciplinary teams. Student Supervision : Currently guiding 5 PhD students exploring topics like hedging devices in language education, interdisciplinary ethics, and automated feedback systems. Past student Ana Isabel Hibert researched automated writing evaluation tools for ESL learners. Labs & Projects : Founder of the Interactional Discourse Lab (GitHub-hosted), focusing on open-source tools for mapping academic collaboration. Active in developing visualisation frameworks for interdisciplinary dialogue analysis.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۴ مورد دیگر

Dr. Lea Frermann is an active researcher in computational linguistics and natural language processing, with a focus on media framing analysis, fairness in AI, and Bayesian modeling of semantic categories. Her work bridges machine learning with social science applications, particularly in political discourse and climate communication contexts. PhD in Bayesian models of category acquisition (University of Edinburgh, 2017) Key collaborations with University of Melbourne, ACL, EMNLP, and CoNLL communities Research emphasizes: Media framing analysis across cultures Explainable AI for bias detection Bayesian approaches to language understanding Word association modeling for value systems Computational methods for political discourse analysis Applications in mental health support forums Recent publications focus on large language models' limitations in hierarchical reasoning, multimodal categorization, and systematic fairness evaluation frameworks. Collaborations show strong connections with researchers like Timothy Baldwin, Trevor Cohn, and Omri Abend.

Ji Maمشاهده پروفایل

استادیار

• Additive Manufacturing
• Multifunctional Materials
• Tailored Materials
• +۷ مورد دیگر

Ji Ma is an Assistant Professor in the Department of Materials Science and Engineering at the University of Virginia. His research focuses on additive manufacturing of metallic alloys, microstructure control, and multifunctional materials design. He explores novel material properties through 3D printing techniques, including spatially tailored properties, 3D concrete printing, and medical implant applications. His work addresses challenges in porosity, residual stress, and corrosion resistance in additively manufactured materials. Education: Ph.D. Mechanical Engineering, Texas A&M University (2012) B.S. Civil Engineering, Texas A&M University (2008) Research Interests include: Additive Manufacturing Multifunctional Materials Tailored Materials Orthopaedic Implants His projects span metallic alloys, multi-material printing, and bio-inspired materials for healthcare and construction. Grants and Collaborations: Virginia Innovation Partnership grant for commercializing 3D-printed wrist replacement technology Lead of $4.3M DARPA project to develop corrosion-resistant materials for naval systems Cross-disciplinary work with architecture and environmental sciences on sustainable 3D-printed soil structures Labs/Teams: Directs the Advanced Additive Manufacturing and Materials Group, focusing on innovation in material design, process optimization, and application-driven solutions for industry and healthcare.

• Service-Oriented Architectures
• Cloud Computing
• Data Management
• +۷ مورد دیگر

Professor Kyriazis Dimosthenis holds a faculty position at the Department of Digital Systems, University of Piraeus. He earned his diploma in Electrical & Computer Engineering from the National Technical University of Athens (2001) and a cross-disciplinary MSc in Techno-Economic Systems (2004). His academic rank is Professor specializing in service-oriented architectures with a focus on quality of service and workflow management. He has led European projects like BigDataStack, CrowdHEALTH, and CYBELE, addressing challenges in cloud computing, edge computing, and AI-driven solutions for healthcare, finance, and industrial sectors. His research emphasizes resilient service-oriented systems, AI explainability, and human-centric digital transformation. Notable contributions include frameworks for dynamic resource allocation in hybrid cloud/edge environments, AI applications for maritime safety, and data governance solutions for cross-sector integration. He coordinates initiatives such as the Future Internet Architecture Board and Cloud QoS&SLAs, driving advancements in federated data marketplaces and sustainable computing practices. His recent work explores Large Language Model (LLM) applications in financial decision-making, conversational AI for MLOps, and neurosymbolic systems for defect detection. He also investigates XAI methodologies, including VirtualXAI, which leverages GPT-generated personas for explainability assessment. His projects often bridge technical innovation with societal impact, such as the iHELP platform for holistic health records and SmartCHANGE for behavioral change strategies in youth health. Key themes in his publications include bias mitigation in machine learning, dynamic deployment prediction in hybrid cloud settings, and energy-efficient data spaces for mobility. He has contributed to standards like the H2020-funded IRMOS and 5GTANGO, emphasizing interoperability and fault-tolerant architectures. His work frequently intersects with EU policy frameworks, particularly in data governance and ethical AI implementation.

Francis Gacengaمشاهده پروفایل

پژوهشگر

• Research Data Management
• IT Service Management
• Design Science
• +۳ مورد دیگر

Dr. Francis Gacenga, currently at the University of Southern Queensland (UniSQ), serves as a Senior Digital Research Advisor in the Research Infrastructure Admin department. He is affiliated with the Centre for Sustainable Agricultural Systems and Institute for Advanced Engineering and Space Sciences. PhD in Information Systems (USQ, 2013) MBA (University of Nairobi, 2000) Graduate Diploma in MIS (University of Greenwich, 2003) BA(Hons) from Kenyatta University (1997) With over 20 years of experience in IT and academic research, Dr. Gacenga specializes in Research Data Management (RDM), IT Service Management (ITSM), Digital Research Infrastructure, and Design Science. His work focuses on applying FAIR (Findable, Accessible, Interoperable, Reusable) data principles to agricultural and environmental domains. The 15 most recent publications reveal a trajectory from foundational ITSM research (2010-2016) to agricultural data platforms (2019-2024). Key themes include FAIR data implementation, cloud computing integration, reproducible research frameworks, and cross-disciplinary agricultural applications. Senior Member of Australian Computer Society (since 2009) Former Chair of ACS Toowoomba Chapter As Principal Investigator for grants totaling over $500k from GRDC, Soils CRC, and ARDC, he leads digital infrastructure projects. He also supervises Doctoral candidates and contributes to national cybersecurity and data policy committees.

Winslow Burlesonمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Robotics
• Assistive Technology
• +۵ مورد دیگر

Winslow Burleson is a Professor at the University of Arizona's School of Information, specializing in Human-Computer Interaction (HCI), Robotics, and Assistive Technology. His research focuses on developing innovative systems for education, healthcare, and marine engineering. Notable projects include the DRESS system for dementia care, CrowdMuse for collaborative creativity, and underwater robotics interfaces. He has received the James Chen Annual Award for Best Journal Article (2012) and leads interdisciplinary teams in cyberlearning and adaptive tutoring systems. Education background includes advanced studies in computer science and engineering, though specific details are not provided. His work integrates robotics, affective computing, and smart environments to address real-world challenges such as aging, education, and environmental exploration. Research interests span robotics applications in education (e.g., co-robotic learning agents), assistive technologies for independent living, and multimodal learning environments. His contributions include adaptive systems for creative crowdsourcing, emotion-aware tutoring platforms, and underwater human-robot interaction frameworks. Current projects emphasize scalable crowd ideation tools and sensor-driven behavior change interventions. Awards include recognition for impactful journal contributions, while grants fund initiatives like cyberlearning with teachable robots and precision oncology IT tools. Advising and grant activities are central to his academic contributions, though specific student names are not listed. Collaborations involve cross-disciplinary teams in engineering, healthcare, and arts to create impactful technologies. Burleson's lab focuses on developing responsive emotive systems, wearable assistive devices, and immersive multimedia applications. Ongoing work explores scalable solutions for dementia support, marine technology interfaces, and creative human-computer interaction paradigms.

David H. Russellمشاهده پروفایل

استاد

• Bioanalytical Chemistry
• Biophysical Chemistry
• Mass Spectrometry
• +۸ مورد دیگر

David H. Russell is the MDS-Sciex Professor of Mass Spectrometry in the Department of Chemistry at Texas A&M University. His research group is housed in the Interdisciplinary Life Sciences Building (ILSB) Room 1201, where he leads cutting-edge research in bioanalytical and biophysical chemistry with a focus on mass spectrometry and ion mobility techniques. He maintains active collaborations with chemical biologists, biochemists, and other chemists across disciplines. Russell earned his B.S. from the University of Arkansas-Little Rock in 1974 and his Ph.D. from the University of Nebraska-Lincoln in 1978. His extensive academic background has positioned him as a leader in the field of mass spectrometry, particularly in developing novel instrumentation and methodologies. Russell's research primarily centers on bioanalytical and biophysical chemistry, with special emphasis on developing next-generation native ion mobility and mass spectrometry techniques. His work explores protein structures and conformational dynamics, focusing on how Gibbs free energy (GEL) regulates these systems through entropy and enthalpy. A key innovation from his lab is the variable-temperature nano-electrospray ionization (vT-ESI) ion mobility-mass spectrometer, which enables unprecedented studies of temperature-dependent chemical processes in proteins and protein complexes. Analysis of his recent publications reveals a consistent focus on advancing structural biology through native mass spectrometry. His work spans protein folding dynamics, collision cross section measurements, iron-sulfur cluster biogenesis, and the fundamental paradoxes in ion mobility spectrometry. These studies collectively advance our understanding of protein-ligand interactions, conformational stability, and thermodynamic measurements in biological systems. Scientific Awards and Honors: 2019 ACS Analytical Chemistry Division Award in Chemical Instrumentation 2013 Frank H. Field and Joe L. Franklin Award for Outstanding Achievement in Mass Spectrometry 2006 Fred M. Garland Memorial Lecture and Award 2004 Association of Former Students Distinguished Achievement Award for Research 2004 Fellow, American Association for Advancement of Science 2002 AB/MDS Sciex Professor of Mass Spectrometry 1998 NSF Special Creativity Extension Award Russell has mentored an extensive number of students throughout his career, with over 90 documented PhD students, Master's students, and postdoctoral researchers who have gone on to successful careers in academia and industry. His research has been consistently funded by major organizations including the National Institutes of Health (NIH), with current support from NIH R01 and RM1 grants as well as The Welch Foundation, demonstrating sustained recognition of the importance and impact of his work. The Russell Research Group operates state-of-the-art laboratories in the Interdisciplinary Life Sciences Building, featuring specialized instrumentation for biological mass spectrometry. The group actively develops novel instrumentation centered around ion mobility time-of-flight mass spectrometers, with ongoing projects focused on improving sensitivity, resolution, and versatility for structural characterization of biomolecules. The lab maintains strong connections with commercial instrument manufacturers and collaborates extensively across disciplinary boundaries.

Mitchell Guttmanمشاهده پروفایل

استاد

• Non-coding RNA
• Gene Expression Regulation
• 3D Nuclear Organization
• +۳ مورد دیگر

Mitchell Guttman is a Professor of Biology at the California Institute of Technology (Caltech), where he leads the Guttman Lab. His research focuses on understanding how long non-coding RNAs (lncRNAs) regulate gene expression and nuclear organization. He holds a B.S. and M.S. from the University of Pennsylvania (2006) and a Ph.D. from MIT (2012). Before becoming a full Professor in 2019, he served as an Assistant Professor at Caltech and a Visiting Associate. His work has pioneered methods like SPRITE and ChIP-DIP to map 3D genome organization and RNA-protein interactions. Education: B.S., University of Pennsylvania, 2006 M.S., University of Pennsylvania, 2006 Ph.D., Massachusetts Institute of Technology, 2012 His research investigates how lncRNAs coordinate proteins, localize to genomic targets, and shape nuclear architecture to control gene expression. Recent breakthroughs include discoveries about nuclear speckles' role in mRNA splicing efficiency and the development of technologies for multiplexed protein-DNA/RNA interaction mapping. His lab integrates experimental and computational approaches, emphasizing collaboration across disciplines. Key Projects: SPRITe: Maps multi-way DNA-RNA-protein interactions in 3D ChIP-DIP: Identifies hundreds of proteins binding DNA simultaneously SPIDR: Maps RNA-protein interactions under cellular stress Labs & Teams: The Guttman Lab fosters an inclusive environment for students and postdocs, emphasizing innovation and cross-disciplinary collaboration. Recent lab members include Paulomi Bhattacharya, Andrew Perez, and Jimmy Guo, who have contributed to high-impact studies on nuclear organization and RNA biology.

Frederik Marinus Trudslevمشاهده پروفایل

پژوهشگر ارشد

• Privacy Metrics
• Synthetic Data Generation
• Metagenomics
• +۳ مورد دیگر

Frederik Marinus Trudslev is a PhD Fellow at the Department of Computer Science, The Technical Faculty of IT and Design, Aalborg University, Denmark, focusing on critical challenges at the intersection of data privacy and bioinformatics. His research bridges computer science and computational biology through innovative work in synthetic data generation and genomic analysis. Trudslev's primary research domains include privacy-preserving synthetic data, where he develops rigorous metrics and evaluation frameworks to balance data utility with individual privacy protection. In bioinformatics, he pioneers ensemble methods for metagenomic binning, significantly improving microbial genome reconstruction from complex environmental samples through advanced clustering techniques. His 2023-2025 publications reveal a strategic pivot toward privacy-enhancing technologies, evolving from metagenomic binning (BinChill, 2023) to comprehensive privacy metric frameworks (2025 review) and practical evaluation tools (PrivEval, 2025). This progression demonstrates increasing specialization in synthetic data validation while maintaining cross-disciplinary relevance. As a key participant in the HEREDITARY project (2024-2027) on gut-brain interplay data integration, Trudslev collaborates with international researchers including Dell'Aglio and Lissandrini. Though no student advising is documented, his project leadership in this major EU-funded initiative highlights significant research impact. His work shows strong potential for future applications in healthcare data sharing and microbiome research.

Tom Christian Holm Adamsenمشاهده پروفایل

دانشیار

• Radiochemistry
• Positron Emission Tomography (PET)
• Medical Imaging Applications
• +۴ مورد دیگر

Tom Christian Holm Adamsen is an Associate Professor at the Department of Chemistry, University of Bergen. He is affiliated with the Center for Nuclear Medicine/PET at Haukeland University Hospital in Bergen. His research focuses on radiochemistry, PET imaging techniques for medical and industrial applications, pharmacology, and oncology tracers. Adamsen’s work spans pre-clinical imaging, novel radiotracer development, and the application of PET in drug distribution studies. He has contributed to projects like the Bergen Tracer Development Centre and instrumental methods in radiochemical synthesis. His research also explores interdisciplinary applications, such as using PET imaging in geological core analysis and hydrocyclone studies. Key areas of interest include titanium-45-based radiopharmaceuticals, single-cell tracking in high-noise conditions, and the repurposing of drugs like sulfasalazine for cancer treatment. His work bridges nuclear chemistry, biomedical engineering, and clinical diagnostics. Adamsen teaches courses such as KJEM260 (Radiochemistry and Radioactivity) and contributes to academic conferences and consortia like the 180°N Norwegian Nuclear Medicine Consortium. He has held roles as project manager and PI for multiple research initiatives, emphasizing translational research between academia and clinical practice.