Find Academic Supervisors

• Metabolomics
• Mass Spectrometry
• Gene Cluster Analysis
• +3 more

Justin van der Hooft is an EPS Assistant Professor in Bioinformatics (BIF) at Wageningen University & Research. His research focuses on metabolomics, mass spectrometry, and computational approaches to natural product discovery. He leads efforts in gene cluster analysis, molecular networking, and AI-driven data integration. His work emphasizes open science and collaboration, as highlighted by the Lighthouse Award 2022 and contributions to tools like antiSMASH and MIBiG. Research interests include advancing computational methods for metabolite identification, optimizing mass spectrometry workflows, and leveraging AI for natural product discovery. Key projects involve linking biosynthetic gene clusters to metabolites, developing scalable data platforms, and exploring plant and microbial specialized metabolomes. Recent articles highlight advancements in mass spectrometry data patterns, AI integration, and community-driven curation of biosynthetic gene clusters. His contributions span over 130 publications, emphasizing metabolomics, gene cluster analysis, and computational biology. Advising: Co-promotor for PhD students in metabolomics, bioinformatics, and microbial ecology projects. Grants/Projects: Active in food safety analysis, natural product discovery, and integrative omics studies. Labs/Teams: Collaborates with global networks on antiSMASH, MIBiG, and molecular networking initiatives.

• Petroleum Geoscience
• Reservoir Engineering
• Seismic Data Analysis
• +3 more

Asghar Shams is an Associate Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society, affiliated with the Institute for GeoEnergy Engineering. His research focuses on reservoir characterization, seismic data analysis, and application of artificial intelligence in petroleum engineering. He has extensive experience in carbonate reservoir modeling, fluid flow dynamics, and integration of geophysical data with reservoir engineering workflows. Research interests include reservoir simulation, production optimization, fracture network modeling, and machine learning applications. His work spans global basins like the Sirt Basin (Libya), Gulf of Mexico, and Middle East carbonate systems. He has published over 52 peer-reviewed articles and actively participates in international conferences such as SEG and EAGE. Professional activities include membership in committees at Imperial College London and Italy's Istituto Nazionale di Oceanografia e di Geofisica Sperimentale. His research emphasizes bridging geoscience and engineering through advanced computational methods.

• Burnishing
• Manufacturing Process Engineering
• 3D Printing
• +2 more

José Antonio Travieso Rodríguez serves as a Professor in the Department of Mechanical Engineering at Universitat Politècnica de Catalunya · BarcelonaTech (UPC), where he maintains an active research profile with an h-index of 23.0. His work focuses on advancing manufacturing technologies through experimental and computational methodologies in high-precision industrial processes. Education: Industrial Engineer (Mechanical) Master in Manufacturing Processes and Part Reconditioning PhD in Industrial Engineering Research Interests: Professor Travieso Rodríguez specializes in surface integrity enhancement through burnishing techniques and vibration-assisted machining to reduce tool wear in difficult-to-cut materials. His work in additive manufacturing explores 3D printing of metallic components for aerospace applications, while his manufacturing process engineering research develops digital twins for sustainable production systems. Current projects emphasize Industry 4.0 integration in mechanical fabrication workflows. Research Groups: He leads the TECNOFAB Research Group (Technologies of Manufacturing) and co-directs DigiFACT (Advanced Digital Factory consortium) within the TECNIO network. These groups collaborate with industrial partners like SEAT and Airbus on vibration-based process optimization and digital reconditioning of critical components. Advising and Grants: While specific student names aren't listed in the source material, his research group supervises multiple doctoral candidates in manufacturing technologies. His grant portfolio includes competitive projects from the Spanish Ministry of Science (RTI2018-094506-B-C21) and EU Horizon 2020 initiatives focused on sustainable machining. Contact: Email: antonio.travieso@upc.edu

Tucker MarionView profile

Associate Professor

• New Product Development
• Lean Innovation Processes
• AI in Design and Engineering
• +5 more

Tucker Marion is an Associate Professor jointly appointed in the Entrepreneurship and Innovation Group and the Department of Mechanical and Industrial Engineering at Northeastern University. He holds a PhD from Pennsylvania State University (2007). His research focuses on new product development processes, lean innovation methodologies, AI-driven design tools, and cost engineering strategies. His work bridges digital technologies with human-centered innovation, emphasizing the integration of generative AI, collaborative platforms, and modular product architectures. Key research contributions include advancing generative adversarial networks (GANs) for design concept generation, evaluating AI's role in trust and innovation governance, and analyzing the impact of synchronous collaboration tools on CAD outcomes. Marion has led interdisciplinary projects like the Dialogue of Civilizations in Milan, exploring heritage, design, and innovation linkages, and co-hosted the Siemens podcast series Pioneers: Startups From Dreams to Reality . Education: PhD in Mechanical Engineering, Pennsylvania State University, 2007. Awards: FY13 TIER 1 Interdisciplinary Research Seed Grant. Grants: Collaborative IT tool research funded via Northeastern's Center for Research Innovation. Marion's work emphasizes transforming organizational innovation practices through digital tools and collaborative cultures. He has published widely on topics such as modular architectures, lean processes, and AI's role in product lifecycle management. His research often intersects technology, human factors, and business strategy to address global innovation challenges.

Rohit SangalView profile

Assistant Professor

• Emergency Medicine
• Healthcare Quality Improvement
• Clinical Informatics
• +4 more

Rohit Sangal, MD, MBA, is an Assistant Professor of Emergency Medicine at Yale School of Medicine and Associate Medical Director of the Adult Emergency Department at Yale-New Haven Hospital. He specializes in clinical operations, quality improvement, and leveraging technology to enhance emergency care delivery. His research focuses on optimizing emergency department workflows, reducing disparities in care access, and integrating artificial intelligence into clinical decision-making. Dr. Sangal earned his MD from Brown University and MBA from Yale School of Management. He completed residency at the University of Pennsylvania and an emergency medicine administration fellowship at Yale. His work includes projects on clinical decision support systems, ED observation care protocols, and system alert management to reduce clinician burden. He co-leads initiatives such as the Care Signature program unifying care across nine emergency departments. His publications address opioid prescribing reduction, open note disparities, and AI-driven triage systems. Collaborators include Arjun Venkatesh, Andrew Ulrich, and Craig Rothenberg.

• Obstetrics and Gynecology
• Reproductive Sciences
• Minimally Invasive Gynecological Surgery
• +6 more

Vrunda Desai is an Adjunct Assistant Professor in Obstetrics, Gynecology & Reproductive Sciences at Yale School of Medicine . As a Board Certified Ob/Gyn with fellowship training in Minimally Invasive Gynecological Surgery, her clinical expertise spans advanced gynecological surgical techniques, general gynecology, and menopausal care. Her research focuses on improving healthcare efficiency and patient outcomes in gynecological care. This includes evaluating surgical simulation tools, analyzing peer influence on clinical practice adoption, and developing patient-centered care models. Recent work examines contraceptive technology , international regulatory standards , and digital health platforms for reproductive medicine. Dr. Desai has received a Medical Education Fellowship (2015) and collaborates with researchers like Xiao Xu, Cary Gross, and Linda Fan. Her publications appear in journals such as the American Journal of Obstetrics and Gynecology and Reproductive BioMedicine Online , covering topics from surgical training models to policy impacts on sterilization practices. Education : BA, Rutgers University (2003) MD, Robert Wood Johnson Medical School (2006) Residency, New York Presbyterian-Weill Cornell Medical School (2010) Fellowship, Hofstra North Shore–LIJ School of Medicine (2011) Contact: Vrunda.Desai@yale.edu | Department Website

Devesh TiwariView profile

Associate Professor

• High Performance Computing
• Quantum Computing
• Sustainable Computing
• +3 more

Devesh Tiwari is the Associate Vice Provost for Research Computing and Associate Professor of Electrical and Computer Engineering at Northeastern University, affiliated with the Khoury College of Computer Sciences. He directs the Goodwill Computing Lab, focusing on accelerating and sustainably scaling classical/quantum computing systems. His research spans HPC, quantum computing, and environmental sustainability, supported by NSF, DOE, and industry grants. He has pioneered experimental contributions including first-of-its-kind open-source datasets and production deployments. Over 50+ publications appear in top venues like SC, HPDC, and DSN, with 14 award-winning papers. His leadership roles include steering committee co-chair for ACM HPDC and SC conference steering committee membership. He has received NSF CAREER Award, IEEE Rising Star Awards, and multiple editorial excellence recognitions. Teaching accolades include the Northeastern COE Teaching Award and student-voted Professor of the Year. His advisees have earned ACM HPC Awards and are now faculty at Rice University and University of Utah. He leads initiatives like HARMONIA (NSF-funded QoS job scheduling) and FLECHA (DOE-funded fault injection methodologies).

Vicent Briva IglesiasView profile

Assistant Professor

• Machine Translation
• Natural Language Processing
• Human-Centered Artificial Intelligence
• +5 more

Dr. Vicent Briva Iglesias is an Assistant Professor in Translation Studies at Dublin City University's School of Applied Languages and Intercultural Studies (SALIS). His roles include adjunct professorships at McGill University and the Universitat Oberta de Catalunya. He holds a PhD in human-centered machine translation and HCI from DCU, an M.Sc. in Translation Technology from Universitat Autònoma de Barcelona, and a BA in Translation/Interpreting from Universitat Jaume I. His research focuses on human-centered AI, machine translation (MT), natural language processing (NLP), and HCI, with applications in legal/medical translation, localization, and healthcare AI collaboration. He is a core member of ADAPT (Ireland's AI-driven digital content research center) and has secured funding from D-REAL and EU COST Action CA19102. Industry experience spans 8+ years in translation/localization, and he runs AWORDZ Language Engineering. His work emphasizes MT user experience (MTUX), ethical AI use, and interdisciplinary applications of language technologies in public services and healthcare. Key research themes include augmented machine translation (HCAMT), user-centric language technology design, and translation ethics. He supervises interdisciplinary PhD projects in HCAMT, MT for non-translators (e.g., doctors, migrants), public service technologies, and localization challenges. Collaborations include the Barcelona Supercomputing Center for AI healthcare research.

Noor-Ul-Huda GhoriView profile

Researcher

• Microbial Ecology
• Microbiome Research
• Extremophile Biology
• +2 more

Noor-Ul-Huda Ghori is a Researcher at the School of Biomedical Sciences , The University of Western Australia . She holds a PhD in Microbial Ecology and focuses on microbial interactions in polyextremophiles, applying her models to human microbiomes including breast milk, skin, and nasopharynx of children. Education: PhD in Microbial Ecology (UWA) M.Phil in Biotechnology (NUST Pakistan) BSc in Biochemistry (The University of Lahore) Research Interests span microbial ecology in extreme environments and human microbiomes, with applications to health and disease. Her work explores bacterial interactions, dysbiosis, and environmental adaptability. Her scientific awards include the WCVID SEED Grant (2023), EMBL Travel Award (2019), International Postgraduate Research Scholarship (2016), and NUST Endowment Scholarship (2013). She is involved in projects like Microbiome-Based Interventions for Burn Wounds and Zero Oxygen Zone Microbiome Workflows . Collaborations include NHMRC grants for microbiome equipment and multi-institutional research networks.

Petri UusitaloView profile

Researcher

• Construction Industry
• Situational Awareness
• Design Management
• +3 more

Petri Uusitalo is a Postdoctoral Researcher at Aalto University's Department of Civil Engineering, specializing in the Performance in Building Design and Construction research group. His work contributes to UN Sustainable Development Goals, particularly focusing on systemic transformation in the construction industry and sustainable development practices. Education: Doctoral degree in Engineering and Technology (Luleå University of Technology, 2015-2020) Licentiate degree in Engineering and Technology (Luleå University of Technology, 2019) Master's degree in Engineering and Technology (Kemi-Tornio University of Applied Sciences, 2010) Bachelor's degree in Engineering and Technology (Central Ostrobothnia University of Applied Sciences, 2006) Research Interests: Uusitalo investigates challenges in the construction industry, including situational awareness systems, decision-making processes, and systemic transformation. His work emphasizes digital tools, lean construction methodologies, and the application of complex adaptive systems theory to improve industry practices. Key areas include infrastructure construction management, design reliability, and technology transfer. Recent Research Trends: His publications highlight the integration of digital systems (e.g., situational awareness tools) to enhance decision-making and operational efficiency. Collaborations focus on managerial perspectives in adopting new technologies and overcoming industry path dependencies. Awards: No scientific awards explicitly mentioned. Advising & Grants: While specific grants are not detailed, his involvement in projects like Building 2030 (aiming to make Finland's construction industry global leader) reflects his role in strategic industry initiatives. No listed advisees are noted. Labs & Teams: Active in Aalto's Performance in Building Design and Construction group, collaborating internationally on lean construction and systemic industry challenges.

Araz NasirianView profile

Lecturer

• Business Analytics
• Machine Learning
• Optimization
• +5 more

Dr. Araz Nasirian is a Lecturer at RMIT University's School of AISSC, Department of Accounting, Info Sys & Supply Chain. His research focuses on business analytics, machine learning, and optimization applied to construction, transportation, education, and human resources. He has received the 2022 RMIT VC Teaching Citation Award and School of AISSC Teaching Technology Award for educational innovation. His work emphasizes translating research into practical solutions, such as developing decision support systems and user-friendly interfaces for complex data analysis. Research interests include mathematical modeling for corporate data analysis, optimization algorithms for professional development strategies, scheduling of flexible resources, and technology adoption in business. He is open to supervising Masters and PhD students on topics like sustainable project management and adversarial deep learning for network anomaly detection. Notable contributions include BIM implementation studies using neural networks, anomaly detection in space networks, and multiskilled workforce optimization in construction. His educational work integrates BIM-VR into curricula and designs interactive educational tools.

• Cultural Studies
• Communication and Media Studies
• Journalism and Professional Writing
• +3 more

Dr. Jay Daniel Thompson is a Senior Lecturer and Discipline Lead (Digital Communication) at RMIT University's School of Media & Communication. His research focuses on intersections of journalism, disinformation, digital hostility, and media ethics. He has co-authored two books: Content Production for Digital Media (2022) and Fake News in Digital Cultures (2022), and is completing a monograph on journalistic reporting of conspiracy movements for Routledge. Thompson has received funding from the Australian Research Council and ANU. He is a Core Member of RMIT's Communication and Change Co-Lab. His industry experience includes freelance journalism since 1998, with works published in ABC Religion & Ethics, Antic Magazine, and others. He frequently speaks on media topics for outlets like The Guardian and Triple J. Research Interests Cultural Studies Communication and Media Studies Journalism and Professional Writing Performing Arts and Creative Writing Historical Studies Film, Television, and Digital Media Grants & Collaborations Australian Research Council competitive funding Australian National University grants Labs/Teams Core Member of RMIT's Communication and Change Co-Lab , focusing on interdisciplinary digital communication research.

• Metabolomics
• Plant Biology
• Biochemistry
• +3 more

Dr. Tony Larson is a Research Fellow and Head of the Metabolomics and Proteomics Laboratory at the University of York's Department of Biology. He has held this role since 2016 and previously contributed to the Centre for Novel Agricultural Products. His work focuses on lipid metabolism in plants and microorganisms, with expertise in mass spectrometry (MS) techniques. He earned a PhD in Botany from the University of British Columbia, Canada (1998), followed by postdoctoral positions at the University of Glasgow and University of York. His research integrates metabolite profiling, genetic screening, and advanced analytical workflows to address challenges in agricultural biotechnology and bioactive compound production, such as optimizing artemisinin in Artemisia annua and noscapine in Papaver somniferum . Larson’s research interests emphasize metabolomics, proteomics, lipid biochemistry, and the application of MS-based technologies. He has pioneered methods like CAMERA (for LC-MS data analysis) and developed the Metabolomics and Proteomics Laboratory into a leading facility with over £9 million in equipment. As Technical Director of the Centre of Excellence in Mass Spectrometry (CoEMS), he drives instrumentation upgrades and grant-funded acquisitions. His recent articles span marine biology, microbiology, and clinical applications, reflecting his interdisciplinary approach. For instance, he explores coccolithophore stress responses, bacterial enzyme engineering, and extracellular vesicle bioactivity in medical contexts. His work also bridges agriculture and environmental science, such as analyzing rice straw digestibility and algal metabolites. Although no scientific awards are explicitly listed, Larson has co-authored over 70 research papers and supported 120+ research groups. He leads grants for MS equipment and collaborates with academia and industry to advance metabolomics applications. In advising and grants, he manages a team of four specialists and has led projects involving global breeding programs for medicinal plants. His technical innovations underpin studies across diverse organisms—from bacteria to mammals—and focus on lipid-related pathways in stress responses and bioenergy. Larson oversees the Metabolomics and Proteomics Laboratory and CoEMS, fostering collaborations to address applied challenges in plant biotechnology, microbial strain improvement, and clinical proteomics.

James LockerbieView profile

Research Fellow

• Artificial Intelligence
• Goal Modelling
• Creativity Support Tools
• +3 more

James Lockerbie is a Research Fellow in the Faculty of Management at Bayes Business School (City, University of London). He holds a Master's degree in Electronic Business Systems from the same institution and has been active in research since 2005. His work focuses on goal modeling, creativity support tools, and AI applications for professional domains like sports coaching and healthcare. Education: MSc in Electronic Business Systems from City, University of London (2005). Research Interests: Goal modeling and analysis, AI-driven creativity tools, and digital innovation in professional work contexts. His projects include AI systems for elite sports coaches, design project creativity, and dementia care support systems. Recent work explores generative AI for software opportunity discovery and health-and-safety solutions in manufacturing. Publications span AI applications in creativity, healthcare, and industrial settings. His 2025 article in IEEE Software highlights AI-driven software innovation, while 2024 work in Digital Health addresses quality-of-life tools for aging populations. Collaborations include projects with sports organizations, manufacturing firms, and healthcare institutions. His research emphasizes human-centered design principles and practical tool implementation across diverse sectors.

Jaewon YangView profile

Professor

• Medical Imaging
• Nuclear Medicine
• PET/SPECT Imaging Techniques
• +3 more

Jaewon Yang is a Professor in the Department of Radiology at UT Southwestern Medical Center, where he leads the Yang Lab focused on advanced radionuclide imaging technologies. Previously, he held roles at Stanford University and UCSF, contributing to PET-guided radiotherapy and quantitative PET imaging techniques. His research emphasizes overcoming clinical challenges in PET/SPECT imaging through deep learning and translational research. Key areas include attenuation correction, motion management, and AI-driven image reconstruction. Dr. Yang's work spans collaborations with institutions like GE Healthcare and RefleXion Medical, advancing technologies such as pseudo-CT generation and emission-guided radiation therapy. His lab integrates clinical needs with innovative solutions, aiming to translate research into commercial products. Recent efforts focus on deep learning applications for PET/MRI and SPECT myocardial perfusion imaging. Publications highlight advancements in PET/SPECT reconstruction, attenuation correction, and AI integration, reflecting a commitment to improving diagnostic precision and clinical workflows. The Yang Lab actively recruits post-doctoral fellows and graduate students to advance these goals.