جست‌وجوی استاد و پژوهشگر

• Nanophotonics
• Integrated Microwave Photonics
• Communications Systems
• +۳ مورد دیگر

Professor Xiaoke Yi is a faculty member at the University of Sydney's School of Electrical and Computer Engineering, serving as Associate Head of Research and Director of the Photonics Research Group. He holds a BEng, MEng, and PhD from Nanyang Technological University (NTU). His research focuses on nanophotonics and integrated microwave photonics, addressing challenges in high-frequency signal processing for communications, defense, and healthcare. Notable achievements include developing non-invasive glucose monitoring technology and contributions to silicon carbide photonics. Awards include the 2018 Women in Industry Award and 2017 Bradfield Award. Research Interests : Professor Yi’s work bridges microwave engineering and optoelectronics, with applications in high-speed communication systems, radar, and biomedical sensors. His current projects involve machine learning-enhanced microwave photonic sensors and integrated photonics for defense and healthcare. Recent breakthroughs include athermal sensors using microring resonators and silicon carbide electro-optic modulators. Publications & Recognition : His work spans over 100 peer-reviewed articles in journals like Nature Communications and Journal of Lightwave Technology . Key themes include sensor design, signal processing algorithms, and photonic materials. Recent trends emphasize machine learning integration for sensor optimization and biomedical applications. Awards : 2018: Women in Industry Award (Engineering category) 2017: Bradfield Award (Engineers Australia) 2017: Australia’s Most Innovative Engineers (Engineers Australia) 2017: Sydney Accelerator Fellowship (SOAR) 2016: Vice-Chancellor’s Award for Research Engagement Labs & Teams : Leads the Photonics Research Group, collaborating with interdisciplinary teams at Sydney Nano Institute. Current projects include inverse design of photonic devices using neural networks and high-resolution optical spectrum analysis.

William F. Speierمشاهده پروفایل

دانشیار

• Medical Informatics
• Biomedical Engineering
• Neurology
• +۳ مورد دیگر

William F. Speier is an Associate Professor in the Department of Radiological Sciences at the University of California, Los Angeles (UCLA) School of Medicine . His work spans Medical Informatics , Biomedical Engineering , and Neurology , focusing on applying Artificial Intelligence and Deep Learning to medical imaging and patient monitoring systems. Speier's research emphasizes improving diagnostics for Thyroid Cancer via multimodal ultrasound and molecular testing, advancing Brain-Computer Interfaces (BCIs) for ALS patients, and optimizing Heart Failure remote monitoring through biometric data analysis. He leads the NIH-funded project Predicting Clinically Significant Thyroid Cancer using Ultrasound (R21EB030691), integrating AI into clinical workflows. His recent publications highlight trends in High-Frequency Oscillations for epilepsy, Gleason Grading in prostate cancer, and Language Models for BCI communication. Collaborations with co-authors like Corey Arnold and Hiroki Nariai underscore his interdisciplinary approach. Speier's work also addresses Diagnostic Imaging , Neural Signal Processing , and Health Technology accessibility. Grants and clinical trial integrations further demonstrate his commitment to translating AI into practical healthcare solutions. His methodologies include 3D ConvNets , Federated Learning , and Active Learning frameworks for histopathology and radiology.

George Hripcsakمشاهده پروفایل

استاد

• Biomedical Informatics
• Electronic Health Records (EHRs)
• Data Mining
• +۴ مورد دیگر

George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts

Shahin Sirouspourمشاهده پروفایل

استاد

• Robotics
• Autonomous Systems
• Control Systems
• +۷ مورد دیگر

Shahin Sirouspour is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on robotics, autonomous systems, control systems, and optimization, with applications in aerial robotics, teleoperation, haptics, medical robotics, and smart energy grids. He is affiliated with the Telerobotics, Haptics and Computational Vision Laboratory and teaches courses such as Non-linear Control Systems and Electrical Systems Integration Project. He holds a Ph.D. from the University of British Columbia and has supervised numerous graduate students. His lab includes advanced equipment like multi-axis robotic manipulators, haptic interfaces, and real-time computing systems. Education: B.Sc. and M.Sc. from Sharif University of Technology (Iran), Ph.D. from University of British Columbia (Canada). Current roles include accepting graduate students and leading research clusters in Digital & Smart Systems, Energy, and Transportation. Awards include the McMaster President's Award for Excellence in Graduate Supervision. His work bridges theoretical control systems with practical applications in healthcare, energy, and autonomous systems. Research highlights include developing control strategies for multi-agent robotic systems, smart grid optimization, and medical robotics. Collaborations with institutions like MacAUTO and industry partners (e.g., MDA Space Missions) enhance translational impact. His lab supports projects on asymmetric teleoperation, deformable tissue simulation, and microgrid energy management.

Nadjib BRAHIMIمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Planning and Scheduling
• Operations Research
• +۴ مورد دیگر

Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.

Mina Najafiمشاهده پروفایل

پژوهشگر

• Sustainable Construction
• Building Information Modeling (BIM)
• Digital Twin Applications
• +۴ مورد دیگر

Dr. Mina Najafi is an academic researcher specializing in sustainable construction, digital transformation in built environments, and place attachment theory. Her work bridges engineering, urban planning, and social sciences. She actively supervises PhD students and contributes to interdisciplinary research initiatives. Research Focus: Sustainable Construction, BIM Technology, Digital Twins, Aging in Place Strategies, and Climate Resilience. Key Projects: Exploration of digital frontiers in construction, policy analysis for energy efficiency, and community-centric design for low-density regions. Her research interests span innovative construction practices, the integration of emerging technologies, and the socio-cultural dimensions of built environments. Recent work emphasizes leveraging digital tools for supply chain optimization and climate adaptation.

Ramana Vinjamuriمشاهده پروفایل

دانشیار

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

Lesia Semenovaمشاهده پروفایل

استادیار

• Machine Learning
• Responsible and Trustworthy AI
• Interpretability
• +۴ مورد دیگر

Lesia Semenova is an incoming Assistant Professor in the Department of Computer Science at Rutgers University, set to join in Fall 2025. She currently serves as a postdoctoral researcher at Microsoft Research, NYC. Her research focuses on machine learning, responsible AI, interpretability, and healthcare applications. She holds a PhD from Duke University's Computer Science Department and prior degrees from Taras Shevchenko National University of Kyiv. Education Background: Ph.D., Computer Science, Duke University M.S. and B.S., Applied Mathematics, Taras Shevchenko National University of Kyiv Research Interests: Machine Learning Interpretability Responsible AI Frameworks Healthcare Applications of AI Reinforcement Learning Human-Centered Design Selected Awards and Recognition: 2024 Rising Stars in Computational and Data Sciences PhD Dissertation Award from Duke University Advising and Professional Activities: Semenova advises students such as Harry Chen and Dennis Tang. She has organized workshops at NeurIPS and presented at conferences like the International Joint Conference CFE-CMStatistics. Her work bridges theoretical machine learning with practical healthcare and policy applications. Professional Engagement: She is affiliated with the Artificial Intelligence and Machine Learning research groups at Rutgers, and has collaborated with institutions like the Johns Hopkins Applied Physics Lab.

Leslie Breitnerمشاهده پروفایل

مدرس ارشد

• Health Care Management
• Financial Management
• Nonprofit Organizations
• +۳ مورد دیگر

Leslie Breitner is a Senior Faculty Lecturer at McGill University’s Desautels Faculty of Management, serving as Academic Director of the International Masters for Health Leadership (IMHL) and Co-Director of the Graduate Certificate in Healthcare Management (GCHM). She also co-created a GROOC (Global Registered Open Online Course) on social entrepreneurship. Her roles include teaching and academic leadership in healthcare financial management and nonprofit organizations. Affiliated with the Marcel Desautels Institute for Integrated Management, she contributes to interdisciplinary healthcare education and policy initiatives. Dr. Breitner holds a D.B.A. from Boston University, an MBA from Simmons College, and a BA from the University of Wisconsin. Her expertise spans healthcare financial systems, nonprofit management, and performance measurement in healthcare organizations. She has taught at the University of Washington (Evans School of Public Policy) and Harvard University (Kennedy School), where she received teaching excellence awards. Her research focuses on healthcare financial management and cross-sector collaboration, with publications in peer-reviewed journals and textbooks on accounting principles. Notable grants include projects on fiscal planning for children’s services in Bosnia, public management training in Azerbaijan, and disaster response funding analysis with FEMA. Awarded Teacher of the Year (2005) and Dean’s Award for Teaching Excellence (2004), she emphasizes practical financial literacy and leadership training for healthcare professionals. Her current work integrates global healthcare leadership development through executive education programs and online platforms.

Amany Faragمشاهده پروفایل

دانشیار

• Patient Safety
• Medication Safety
• Nurse Fatigue
• +۴ مورد دیگر

Amany Farag is a tenured Associate Professor at the University of Iowa College of Nursing and Co-Director of the VA Quality Scholars Program (Iowa City site). Her work bridges nursing science, human factors engineering, and data science to address critical patient safety challenges, with a specific focus on medication administration practices across healthcare settings. Education: Postdoctoral Scholar, Case Western Reserve University, Frances Payne Bolton School of Nursing PhD, Case Western Reserve University, Frances Payne Bolton School of Nursing MSN, University of Alexandria, Alexandria Egypt BSN, University of Alexandria, Alexandria Egypt Dr. Farag's research centers on reactive and proactive approaches to patient safety , with dual emphasis on medication error reporting systems and nurse fatigue prevention. Her work integrates human factors engineering and machine learning to develop novel interventions. Key themes include understanding how social and system factors influence nurses' error reporting behaviors, examining fatigue as a precursor to errors, and developing self-management strategies for nurse wellness. Recent projects explore intershift recovery, sleep hygiene using consumer technology, and the impact of shift work on cognitive performance. Publication trends reveal a strong focus on interdisciplinary safety science , with consistent output in nursing, human factors, and healthcare quality journals. Her work increasingly incorporates AI methodologies while maintaining clinical relevance to frontline nursing practice. Scientific Recognition: Mary Hanna Memorial Journalism Award (Journal of Peri-Anesthesia Nursing, 2016) Author of the Year (Journal of Emergency Medicine, 2018) Junior Investigator Award (Midwest Nursing Research Society, 2018) Rogers Endowed Lectureship Award (Mississippi Medical Center, 2018) Dr. Farag secures significant funding from national agencies including the National Council of State Boards of Nursing (NCSBN), NIOSH-funded Healthier Workforce Center of the Midwest, CDC-funded Injury Prevention Research Center, and University of Iowa Institute for Clinical and Translational Science. Her collaborative approach spans nursing, data science, ergonomics, and public health teams. As Co-Director of the VA Quality Scholars Program, she mentors future healthcare quality leaders while advancing her research on medication safety systems and nurse fatigue mitigation strategies through interdisciplinary partnerships.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +۳ مورد دیگر

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.

• Medical Imaging
• Biomedical Engineering
• Magnetic Resonance Imaging (MRI)
• +۳ مورد دیگر

Yonghyun Ha is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. His research focuses on advancing magnetic resonance imaging (MRI) technologies, particularly in low-field MRI systems, RF pulse design, and imaging hardware innovation. He collaborates with experts like Duy Phan, Haifan Lin, and Nikhil Malvankar, contributing to projects such as RF pulse distortion compensation and novel RF coil development. Research Interests: His work spans low-field MRI systems , RF engineering , imaging algorithm optimization , and hardware design . He explores applications like point-of-care imaging and cost-effective MRI solutions. Articles Trends: Recent publications address gradient-free imaging, field-cycling magnets, and deep learning for data compression. His work bridges engineering and clinical needs, emphasizing practical MRI advancements. Advising & Grants: No formal advisees are listed, but his collaborations suggest involvement in interdisciplinary research teams. No specific grants are mentioned, but his projects imply funding through institutional or NIH channels. Labs/Teams: Active in Yale’s Radiology & Biomedical Imaging department, contributing to MRI technology development and translational research initiatives.

• Nanotechnology-based bioanalysis
• Mass spectrometry
• Lateral flow immunoassay
• +۵ مورد دیگر

Dr. Chang Lei is an ARC Discovery Early Career Researcher Award (DECRA) Fellow at the Department of Medical Sciences within the Faculty of Medicine and Health at The University of Sydney. She is also a member of The University of Sydney Nano Institute and the Charles Perkins Centre. With expertise in nanotechnology-based bioanalysis, mass spectrometry, lateral flow immunoassay, and tissue regeneration, Dr. Lei leads several innovative research projects focused on advancing healthcare through nanotechnology. Dr. Lei completed her PhD at the Australian Institute for Bioengineering and Nanotechnology (AIBN) at The University of Queensland (UQ). Her academic journey includes receiving the Queensland Government Advance Queensland Research Fellowship, the UQ Amplify Fellowship in 2021, and the prestigious ARC DECRA in 2024. Her research interests span across nanotechnology applications in healthcare, with particular focus on: Developing novel nanomaterials for single-cell metabolomics analysis Creating affordable and ultra-sensitive biomarker detection platforms Engineering silica bio-nanomaterials for stem cell differentiation and bone repair Advancing lateral flow immunoassay technologies using nanomaterials Applying nanotechnology to dental and craniofacial regeneration Dr. Lei's publication record demonstrates a strong focus on nanotechnology applications across multiple disciplines. Her recent work shows increasing emphasis on medical applications of nanomaterials, particularly in diagnostics, cancer therapy, and tissue regeneration. She has published in high-impact journals including Nature Science Review, Small, Biosensors and Bioelectronics, Angewandte Chemie, and Advanced Materials. Dr. Lei has received several notable awards and honors: 2024 ARC DECRA Fellow 2021 The University of Queensland Amplify Fellow 2020 GC Minimum Intervention Dentistry Research Award 2017 Advanced Queensland Research Fellow As a reviewer for scientific journals such as Science Advances, Journal of Nanobiotechnology, and Journal of Materials Chemistry B, and for ARC and NHMRC grants, Dr. Lei actively contributes to the scientific community. She also serves as an editor for Frontiers in Bioengineering and Biotechnology and Nano TransMed. Her current research projects are supported by grants including the ARC DECRA and the FMH Start-up Scheme. Dr. Lei is actively involved in several research groups and initiatives: Member of The University of Sydney Nano Institute Member of the Charles Perkins Centre Member of Australian and New Zealand Society for Mass Spectrometry Member of The Australian Materials Research Society Member of the Australian Nanotechnology Network

Heikki Peuraمشاهده پروفایل

دانشیار

• Operations Research
• Revenue Management
• Supply Chain Management
• +۳ مورد دیگر

Heikki Peura is an Associate Professor in the Department of Information and Service Management at Aalto University School of Business. Previously, he served as an Assistant Professor at Imperial College Business School, Imperial College London. His educational background includes: PhD in Management Science and Operations from London Business School (awarded June 30, 2016) MSc in Engineering Physics and Mathematics from Aalto University, specializing in Systems and Operations Research (awarded April 27, 2010) Professor Peura specializes in analytics methods for understanding and improving firms' operational decisions . His research spans several interconnected domains including revenue management, sustainable energy generation, and supply chain management. He applies advanced analytical techniques to solve complex business problems, particularly focusing on optimization methods and decision-making under uncertainty. His work bridges theoretical operations research with practical business applications, making significant contributions to both academic knowledge and industry practice. Analysis of his recent publications reveals a consistent focus on operational decision-making with applications across multiple sectors. His work demonstrates strong methodological rigor in optimization techniques while addressing practical business challenges in energy markets, supply chain dynamics, and revenue management systems. There's a clear evolution in his research from foundational work in pricing and optimization toward more complex applications involving sustainability, risk management, and strategic decision-making in competitive environments. Professor Peura has been actively involved in teaching operations and supply chain analytics as well as revenue management courses at Aalto University. At Imperial College, he taught courses including Data Structures and Algorithms, and contributed to various Master's programs in Business Analytics and Financial Engineering. His research has established significant connections with industry applications, particularly in energy markets and platform businesses. Professor Peura maintains an active research agenda with several working papers addressing contemporary challenges in non-profit fundraising, decarbonization pathways, and healthcare financing.

Javad Tavakoliمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Biomaterials
• Biomechanics
• +۵ مورد دیگر

Associate Professor Javad Tavakoli holds a dual appointment at RMIT University’s School of Engineering (Department of Biomedical Engineering) and serves as a Visiting Fellow at the University of Technology Sydney’s School of Biomedical Engineering. His research focuses on biomechanical engineering , biomaterials , and orthopaedic applications , with notable contributions to intervertebral disc-on-a-chip models and hydrogel-based drug delivery systems . He has pioneered cutting-edge technologies such as microfluidic platforms for hydrogel characterization and aggregation-induced-emission fluorogens for biomedical sensing. His academic journey includes a PhD from Flinders University (2015–2018) and postdoctoral work at Flinders University’s China-Australia International Laboratory for Health Technologies (2018–2020). He received the Chancellor’s Research Fellowship from UTS in 2020, enabling the development of the world’s first disc-on-a-chip model, which won the AO Spine Discovery and Innovation Award (2022) and David Findlay Award (2022). Key research interests include organ-on-a-chip systems , mechanobiology , and nanofabrication of biosensors . He leads a team recognized for student achievements such as the UTS Capstone Showcase Judges’ Choice Award (Stephanie Weiss, 2022) and Engineering Female Scientist Award (Maryam Rad, 2022). His work aligns with UN Sustainable Development Goals 3 (Good Health) and 9 (Industry Innovation). Notable awards also include the Best Spinal Research Award (2023), Engineers Australia Excellence Award (2023), and multiple Excellence in Reviewing Awards . His research outputs span biomechanical engineering , additive manufacturing , and microfluidics , with over 70 peer-reviewed publications and three commercialized products. Current initiatives include advancing 3D-printed orthopaedic implants , low back pain diagnostics , and fluorescent hydrogel applications . Collaborative projects with industry and global institutions underscore his translational research impact.