جست‌وجوی استاد و پژوهشگر

Steve Koمشاهده پروفایل

دانشیار

• Distributed systems
• Networking
• Operating systems
• +۳ مورد دیگر

Steve Ko is a Volunteer Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on distributed systems, networking, and operating systems. He holds a PhD and maintains an active research profile with interdisciplinary interests in materials science, particularly in dental and biomedical applications. Education: PhD (specific field not stated in text) Research interests span both computer science and materials engineering, addressing topics such as antimicrobial coatings for orthodontic appliances, composite material properties, and CAD/CAM dental prosthetics. His recent work explores the mechanical and optical properties of materials like zirconia and Gummetal® archwires. Publications highlight advancements in orthodontic material characterization, adhesive properties in dental applications, and fatigue testing of endodontic instruments. His research often bridges computational systems with biomedical material science. Grants and Advising: No specific grants or advising details provided in text. Dr. Ko collaborates on lab projects involving material testing fixtures, such as gripping systems for micro-tensile testing and cyclic fatigue analysis of dental instruments.

Majid Khazaeeمشاهده پروفایل

استادیار

• Energy Harvesting
• Piezoelectric Engineering
• Biomedical Engineering
• +۳ مورد دیگر

Majid Khazaee is an Assistant Professor at the Department of Thermal Engineering, Faculty of Engineering and Science, Aalborg University. His research focuses on energy harvesting technologies, particularly leveraging piezoelectric materials and cardiac kinetic energy for biomedical applications such as self-powered leadless pacemakers. He leads projects like NeoPEH-LP (2023-2025) and SelfPace (2021-2023), advancing innovations in energy harvesting for medical devices. Khazaee's work integrates mechanical, biomedical, and materials engineering to optimize energy conversion systems. Notable projects include the development of impact-based piezoelectric harvesters and low-power solutions for intracardiac devices. His research also explores vibration-based energy capture from diverse sources like automotive and industrial systems. Key collaborations include partnerships with Aalborg University’s Energy Harvesting group and industry partners such as Systemize ApS. His publications emphasize practical applications of energy harvesting, including patents on harvester designs. Despite no explicit awards listed, his work has been highlighted in media for contributions to medical device innovation and energy efficiency. Grant activities span €1.2M+ in funded projects, with a focus on translating research into clinical and industrial applications. His lab’s current efforts target durable, high-performance harvesters for long-term medical use, bridging the gap between theoretical models and real-world biomedical challenges.

• Machine Learning
• Computer-Aided Medical Diagnosis Systems
• Medical Signal/Image Processing
• +۵ مورد دیگر

Dr. Jiang Li is a Professor in the Batten College of Engineering & Technology at Old Dominion University (ODU). He holds a Ph.D. in Electrical Engineering from the University of Texas at Arlington (2004), an M.S. in Automation from Tsinghua University (2000), and a B.S. in Electrical Engineering from Shanghai Jiao Tong University (1992). Before joining ODU in 2007, he was a postdoctoral fellow at the NIH's Department of Radiology (2004–2006). Dr. Li's research focuses on machine learning, medical imaging, and signal processing. His work spans computer-aided diagnosis systems for medical applications, neural networks, and modeling/simulation. He has led or co-led numerous grants, including funded projects on biomarker identification, robotic dental implantation, and hazard detection. His research trends emphasize interdisciplinary applications of AI, such as medical imaging analysis, remote sensing, and cybersecurity in engineering systems. Recent publications highlight advancements in deep learning for radiation estimation, seagrass mapping, and adversarial attack detection. Awards : NIH Fellows Award for Research Excellence (2006) UTA TxTEC Award (2003) Image Processing Scholarship (2002) Herman Fellowship (2000) Dr. Li's advising and grants reflect collaborations across disciplines, with notable contributions to biomedical engineering and computational methods. He has contributed to labs and teams in medical imaging, robotics, and environmental remote sensing.

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.

Patrick Aebischerمشاهده پروفایل

استاد

• Neuroscience
• Neurodegenerative Diseases
• Gene Therapy
• +۳ مورد دیگر

Patrick Aebischer is an Honorary Professor at EPFL, where he previously served as President from 2000 to 2016. He holds a medical degree from the University of Geneva (1980) and a PhD in Neuroscience from the University of Fribourg (1983). Before his tenure at EPFL, he held academic roles at Brown University (1984–1992) and the University Hospital of Lausanne (CHUV). His research focuses on neurodegenerative diseases, particularly through cell therapy and gene transfer approaches. Education : - Medicine (1980), University of Geneva - Neuroscience (1983), University of Fribourg Research Interests : Dr. Aebischer's work addresses neurodegenerative diseases such as Alzheimer's and Parkinson's. His lab develops therapies targeting amyloid-beta, tau pathology, and α-synuclein, using gene therapy and cell-based approaches. Recent studies include cellular implants for passive immunization and mitochondrial regulation via Urolithin A. Publications : His recent work highlights advancements in gene therapy for deafness, ALS modeling on microchips, and mechanisms linking aging to neurodegeneration. Over 150 publications span topics like viral vector applications and neuroenergetics. Affiliations & Roles : - Board member: Lonza, Logitech, Nestlé - Chair: Novartis Venture Fund Advisory Board - Founder: Three biotechnology startups Labs & Teams : His lab at EPFL focuses on translating research into therapies, collaborating with industry partners to advance clinical applications.

Yvan Roseمشاهده پروفایل

استاد

• Phonology
• Language Acquisition
• Child Language Development
• +۳ مورد دیگر

Yvan Rose is a Professor at Memorial University of Newfoundland, specializing in phonology and language acquisition. His research focuses on how humans organize sound systems, acquire phonology in first/second languages, and produce speech sounds. He received the Petro Canada Young Innovator Award (2006-2008) and leads the PhonBank project under CHILDES, developing the open-source Phon software for phonological data analysis. Education: M.A. from Université Laval (Québec) and Ph.D. from McGill University (Montréal). Teaching interests include phonology, language acquisition, and experimental phonetics. Research emphasizes empirical and multidisciplinary approaches, integrating linguistics, psychology, and computer science. Key contributions include: PhonBank: A cross-linguistic phonological development database Phon software for corpus analysis and treatment target selection Studies on speech rehabilitation in cochlear implant users Investigations into loanword phonology and bilingual acquisition His work bridges theoretical phonology with practical applications in speech-language pathology and computational tools for linguistic research.

Vijay T. Johnمشاهده پروفایل

استاد

• Self-Assembly
• Nanostructured Materials
• Polymer/nanoparticle Composites
• +۷ مورد دیگر

Vijay T. John is a Professor and The Leo S. Weil Professor in Engineering at Tulane University’s School of Science & Engineering, Department of Chemical & Biomolecular Engineering. He is based in the Lindy Boggs Building and teaches courses such as Applied Numerical Analysis and Reactor Design. B.Tech., Indian Institute of Technology, Madras M.S., Pennsylvania State University D.Eng.Sc., Columbia University His research spans interdisciplinary domains including lipid self-assembly , drug/vaccine delivery , and oil spill dispersant development . Key projects involve lipid-based transcutaneous vaccine delivery, polymer-coated medical implants, and oil spill mitigation technologies. Recent work focuses on stimuli-responsive nanomaterials and biofilm formation in environmental applications. Recent publications highlight advancements in CO2 capture , nanotube-based oil recovery , and amphiphilic polypeptoid design , with collaborations extending to Tulane Medical School and NIST. His lab utilizes a cryo-electron microscopy facility and emphasizes interdisciplinary training. Dean’s Hero Award Outstanding Researcher Award He has contributed to process technology operator training via collaboration with Nunez Community College and led a major oil spill dispersant program funded by the Gulf of Mexico Research Initiative (GoMRI). His students engage in cutting-edge techniques like cryo-microscopy and neutron scattering.

Payam Khazaeinejadمشاهده پروفایل

دانشیار

• Computational solid mechanics
• Bio-inspired materials design
• Architected & smart materials/structures
• +۷ مورد دیگر

Payam Khazaeinejad is Associate Professor of Solid Mechanics at Kingston University London, where he also serves as School Director of Learning & Teaching and leads the IMechE-accredited Monitored Professional Development Scheme. A Chartered Engineer & Scientist, he is Senior Fellow of Advance HE, Fellow of IMechE, Senior Member of AIAA and sits on multiple national boards including IMechE Council and EPSRC Peer Review College. Education & Continuous Development PhD Engineering, University of Edinburgh (2016) MSc Mechanical Engineering – Applied Mechanics (2006) BEng Mechanical Engineering – Solid Mechanics (2004) MIT Professional Education – Machine Learning for Materials Informatics (2024) Chartered Manager Bootcamp, CMI Level 5 Diploma (2023) Certificate in Innovation in Teaching, Laspau/Harvard (2021) Chartered Engineer & Chartered Scientist status (2021, 2024) Research Interests His research integrates computational solid mechanics with bio-inspired design to create architected materials and structures that are lightweight, adaptive and resilient. Using high-fidelity finite-element and discrete-element modelling he investigates failure mechanisms under extreme thermomechanical environments, with applications spanning pharmaceutical tablet compaction, biomedical scaffolds for bone regeneration, floating solar-panel arrays, fire-exposed steel plates and subsea riser systems. Across 50+ peer-reviewed works he has advanced analytical solutions for functionally graded shells, nonlinear thermo-elastic plates, vibration of micro-composite skew plates and efficient riser elements, while recent outputs concentrate on additive-manufactured aerospace mounts, 3-D printed biodegradable scaffolds and data-driven engineering curricula. Honours & Recognition Provost's Award for Learning & Teaching Excellence 2025 Enterprising Value Award, Kingston People Awards 2024 Senior Fellow, Advance HE Fellow, Institution of Mechanical Engineers Senior Member, AIAA Chartered Engineer & Chartered Scientist (UK Engineering & Science Councils) Leadership & External Examining He is Chief External Examiner at UWE Bristol (2024-present) and External Examiner at Manchester Met and University of East London, having served on programme-revalidation panels nationwide. At Kingston he directs learning & teaching for the School of Engineering, chairs the IMechE Structural Technology & Materials Group, and founded the Engineering Simulation Group.

• High-performance computing
• Modelling of Acoustic Wave devices
• Embedded system design
• +۳ مورد دیگر

Dr. Glenn Matthews is a Senior Lecturer in the School of Engineering at RMIT University, specialising in Electrical and Computer Engineering. He holds positions in both academic and research capacities, including Principal Investigator roles at CSIRO and Smart Services CRC. His teaching responsibilities include coordinating undergraduate courses such as Introduction to Engineering Computing and Engineering Design modules. Dr. Matthews' research focuses on high-performance computing, acoustic wave device modeling using Finite Element Method (FEM), and embedded system design. Notable projects include developing FEM software for SAW device analysis and investigating asynchronous computing architectures for high-throughput systems. He has supervised numerous research projects spanning machine learning applications in clinical analysis, gas sensing technologies, and neuromorphic learning. His work integrates hardware-software co-design principles, with contributions to radar SLAM systems, mercury vapor sensors, and neural network frameworks like SwiftSpike. Dr. Matthews collaborates with industry partners through ARC Linkage Grants and maintains affiliations with IEEE and DSP/Embedded Systems groups. His research outputs include over 20 peer-reviewed articles, with impactful contributions to sensor technology, circuit design, and biomedical applications.

• HIV Cellular Virology
• Cell Biology of HIV
• Microscopic Imaging of HIV
• +۴ مورد دیگر

Thomas J. Hope is a Professor of Cell and Developmental Biology, Obstetrics and Gynecology, and Biomedical Engineering at Northwestern University's Feinberg School of Medicine and McCormick School of Engineering. His research focuses on HIV Cellular Virology, utilizing cell biology approaches to study HIV transmission and prevention. He leads the Hope Lab, which has pioneered imaging techniques for visualizing HIV interactions with cells and tissues. PhD: University of California, Berkeley (1988) Postdoctoral Fellow: University of California, San Francisco (1992) Dr. Hope's research centers on HIV Cellular Virology, with emphasis on the cell biology of HIV transmission. His lab has developed advanced imaging techniques for fluorescent labeling of HIV particles and viral proteins, enabling researchers to track virions and infected cells from tissue culture to whole animal models. His work spans from virus entry and assembly to defining the earliest steps of sexual transmission of HIV, with recent expansion into HIV-related mucosal immunology and prevention science. The Hope Lab uses imaging-based tools to define viral and host factors during HIV transmission in physiologically relevant contexts. Analysis of Dr. Hope's recent publications reveals a strong focus on HIV transmission mechanisms, particularly through mucosal tissues, with increasing attention to SARS-CoV-2 research since the pandemic. His work combines advanced imaging techniques with molecular and cell biology approaches, with significant emphasis on developing prevention strategies including vaccine and microbicide research. The research shows progression from fundamental HIV cell biology to applied prevention science, with growing collaboration across disciplines including immunology, microbiome research, and medical imaging. A Wannabe Photographers 30 Year Journey to Image HIV / Keynote Speaker, Cold Spring Harbor Laboratory (CSHL) (2022) Dr. Hope serves in multiple editorial and advisory capacities including as Section Editor for PloS Pathogens (2011-Present), former Editor-in-Chief of AIDS Research and Human Retroviruses (2009-2020), and member of amfAR Scientific Advisory Committee (1999-Present). His research has secured significant funding, including a $17 million NIH grant for HIV prevention research focused on developing an implantable drug delivery system. He co-chairs the AIDS Panel for the U.S.-Japan Cooperative Medical Science Program and participates in the Organizing Committee for Emerging Infectious Diseases of the Pacific Rim. The Hope Lab utilizes imaging-based tools to define key viral and host players during HIV transmission in physiologically relevant contexts. The lab's approach enables direct visualization of HIV/SIV particles, mucosal tissue barriers, host target or effector cells, and infected cells. This work supports in vivo PK/PD studies using systemic and topical PrEP approaches, providing unique insights into the space and time of the earliest events of HIV transmission and prevention.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Jiling Fengمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics in Cardiovascular Systems
• Biomedical Engineering
• Arterial Waveform Analysis
• +۳ مورد دیگر

Dr. Jiling Feng is a Senior Lecturer in Mechanical Engineering at Manchester Metropolitan University, specializing in fluid mechanics applied to cardiovascular systems and biomedical engineering. Her research focuses on arterial waveform analysis, stent design, and material science for vascular disease treatment, supported by over £1.1 million in grants from EPSRC, UKRI, and Royal Society. She holds a BEng, MSc, PhD, and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy (FHEA). Education: BEng, MSc, PhD Professional Memberships: IMechE, IEEE, British Atherosclerosis Society Research interests include computational modeling of cardiovascular mechanics, fluid-structure interaction in arteries, and biomaterials for medical devices. She has authored over 40 peer-reviewed articles in top journals like Biomechanics and Modelling in Mechanobiology and serves on editorial boards for Mathematics and Frontiers in Biophysics . Recent projects include a KTP collaboration with Krohne (£235,000) and a Royal Society grant with Beijing University of Technology (£11,600). She supervises PhD and MSc projects on plaque mechanics and arterial waveforms. Labs/Teams: Active in vascular mechanics research groups, collaborating with vascular surgeons and industry partners.

Heidi Ploegمشاهده پروفایل

استاد

• Musculoskeletal health
• Human movement
• Biomechanics
• +۶ مورد دیگر

Dr. Heidi Ploeg is a Full Professor in the Department of Mechanical and Materials Engineering at Queen's University, holding the inaugural Chair for Women in Engineering. She leads the Queen's Bone and Joint Biomechanics (Q-BJB) Lab, focused on musculoskeletal system mechanics and orthopaedic implant development. Her research integrates experimental and computational methods across scales from whole-body biomechanics to bone microstructure analysis. Education: BSc, MSc, PhD in Mechanical Engineering (Queen's University) Affiliations: ORS Orthopaedic Implants Section Chair, Editorial Board Member (Medical Engineering & Physics), and multiple professional societies Research interests include bone biomechanics, implant fixation, and medical device evaluation. Key projects involve trabecular bone modeling, dental implant stability, and antibiotic-loaded bone cement properties. She has advised over 50 students and secured grants like NSERC Discovery and CFI John R Evans Funds. Publications span biomechanical testing, finite element analysis, and orthopaedic device evaluation. Awards include the Women’s Leadership Forum Award and AAOS Women’s Health Advisory Board recognition. Her lab emphasizes diversity and inclusion, fostering collaborative training environments through industry partnerships and outreach.

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +۶ مورد دیگر

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart and an adjunct professor at Graz University of Technology. He leads research in augmented reality (AR), virtual reality (VR), and visualization, with contributions to tracking, rendering, and medical applications. His work spans academia and industry, with over 400 publications and numerous awards, including the IEEE ISMAR Career Impact Award and Fellow of the IEEE. Education: PhD (1997), Habilitation (2001) from Vienna University of Technology. Research: Focuses on AR/VR systems, medical visualization, and real-time graphics. Key projects include the Christian Doppler Laboratory for Handheld AR and collaborations with Qualcomm and VRVis. Awards: START Prize (2002), IEEE Technical Achievement Award (2012), Humboldt Professorship (2023). His teaching includes courses on computer graphics, VR, and real-time rendering. He has advised over 30 PhD students, many of whom hold academic or industry leadership roles. Current research explores situated analytics, mixed reality telepresence (MRUnion), and AR applications in mining and medicine (MiReBooks).

Aydin Nassehiمشاهده پروفایل

استاد

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +۳ مورد دیگر

Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.