Find Academic Supervisors

• Neural Tissue Repair
• Biomaterials Engineering
• Neuroregeneration
• +4 more

Sarah Pixley is a Professor in the Department of Pharmacology & Systems Physiology at the University of Cincinnati. Her research focuses on neural tissue repair using novel biomaterials, particularly magnesium-based materials and carbon nanotubes for peripheral nerve regeneration. She leads studies on magnesium's role in reducing neuronal damage and vasospasm post-injury, funded by NSF grants and collaborations with engineering teams. Education: Associate's Degree: Zoology, Smith College (1974) Master's Degree: Physiology, UCLA (1975) Doctoral Degree: Anatomy, UCLA (1983) Postdoctoral Work: Cedars-Sinai Medical Center and UC Irvine (1985-1987) Research Interests: Developing biodegradable magnesium implants for nerve repair Carbon nanotube applications in neuronal differentiation Neuroprotective effects of magnesium ions Clinical translation of metallic biomaterials Grant Collaborations: NSF Engineering Research Center: Revolutionizing Metallic Biomaterials (ERC Lead Subproject) VA and Industry-funded studies on nerve repair and olfactory neurogenesis International collaborations with Ben-Gurion University (Zinc alloy research) Labs & Teams: Pixley Lab collaborates across disciplines with surgeons, neurobiologists, and engineers to advance neural repair technologies. Key projects include magnesium wire characterization and CNT-based neural scaffolds.

Jiling FengView profile

Senior Lecturer

• Fluid Mechanics in Cardiovascular Systems
• Biomedical Engineering
• Arterial Waveform Analysis
• +3 more

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.

Ka-Chun SiuView profile

Professor

• Movement Science
• Biomechanics
• Motor Learning
• +5 more

Dr. Ka-Chun Siu is a Professor and Chair of Global Health Opportunities in the Physical Therapy program at the University of Nebraska Medical Center (UNMC), within the College of Allied Health Professions' Department of Health and Rehabilitations Sciences. He additionally directs the MSIA Patient-Oriented Research program and mentors graduate students in the Graduate College. His research is supported by NIH, NASA Nebraska Space Grant, NIOSH CS-CASH, and University of Nebraska Systems. Education: Post-Doc in Biomechanics, University of Nebraska at Omaha (2006-2009) PhD in Human Physiology, University of Oregon (2006) BS in Physical Therapy, Kaohsiung Medical University, Taiwan (1999) Research Interests: Dr. Siu specializes in movement science and biomechanics, with emphasis on aging populations and movement disorders. He pioneers technology-driven solutions—including virtual reality and mobile applications—to study balance control and gait biomechanics in diverse environments. A secondary focus involves human performance optimization and motor skill acquisition, particularly in advancing medical education methodologies. Publication Trends: Recent articles demonstrate concentrated expertise in virtual reality applications for surgical training and neurorehabilitation, AI integration in healthcare education, ergonomic analysis in minimally invasive surgery, and advanced biomechanical assessments of gait/mobility. Emerging themes include wearable technology validation, computational modeling of motor skills, and remote patient monitoring systems. Awards & Honors: 2023 UNMC New Investigator Award 2023 CAHP Significance in Research for Distinguished Faculty Award 2022 UNMC Distinguished Mentor Award 2022 UNMC Outstanding Faculty Mentor for Graduate Students Award 2020 UNMC Impact in Education for Research in Education Scholar Award 2015 UNMC Outstanding Professional Achievement Award 2014 SAHP Excellence in Research Award Professional Activities: Dr. Siu serves on editorial boards for scientific journals and as an external reviewer for Hong Kong's Health and Medical Research Fund. He oversees international physical therapy partnerships through UNMC's Global Health Opportunities Program and leads interdisciplinary research initiatives blending engineering, medicine, and data science.

• Optimization
• Robotics
• Data Analytics
• +3 more

Ana Isabel Pinheiro Nunes Pereira serves as Professor in the Department of Mathematics at Polytechnic Institute of Bragança, where she also holds the position of vice-coordinator for the Research Centre in Digitalization and Intelligent Robotics (CeDRI). She maintains dual institutional affiliations as a research member at Minho University's Algorithm Research Centre and represents Portugal in the European Consortium of Mathematics in Industry. Her academic foundation includes a PhD in Numerical Optimization from Minho University (2006), establishing her expertise in computational mathematics. This background directly informs her current research trajectory. Professor Pereira's research program centers on Optimization and Robotics , with expanding applications in Data Analytics and Precision Agriculture . Her methodology integrates Machine Learning for biosensor enhancement and Computer Vision for agricultural disease detection, while maintaining strong commitments to innovative teaching tools in mathematical education. This interdisciplinary approach bridges theoretical computation with industrial problem-solving through her ECMI role. Recent publications demonstrate a clear trend toward sustainability-focused applications, particularly in agricultural technology (olive/vineyard systems) and medical device optimization. Her work consistently applies multi-objective clustering and predictive modeling to translate complex data into actionable solutions for healthcare and farming industries. With over thirty research projects completed, her grant portfolio emphasizes robotics implementation , optimization frameworks , and educational innovation . She has supervised 62 students across master's and doctoral programs, fostering next-generation expertise in computational mathematics. Her leadership at CeDRI drives the institute's strategic focus on digital transformation, while her Algorithm Research Centre membership enables cross-institutional collaboration on industrial mathematics challenges. These roles position her at the forefront of applied computational research in Portugal.

Jan VanderborghtView profile

Professor

• Soil Physics
• Solute Transport in Soils
• Pesticide Fate Modeling
• +4 more

Professor Jan Vanderborght serves as Director of the Agrosphere Institute (IBG-3) at Forschungszentrum Jülich, Germany, while maintaining a professorship in Soil Physics at KU Leuven, Belgium. His research focuses on fundamental soil physical processes with direct applications in agricultural and environmental management. His educational background includes an MSc (1993) and PhD (1997) in Bio-engineering from KU Leuven, followed by post-doctoral research at ETH Zurich (1998-1999). Vanderborght's research centers on solute transport in soils, pesticide fate modeling, hydrogeophysics, soil evaporation processes, and plant water/nutrient uptake mechanisms. His work bridges fundamental soil physics with practical agricultural applications, particularly in irrigation management and contaminant transport. His recent publications reveal strong focus on advanced soil moisture monitoring techniques, root water uptake modeling, and the application of digital twin technology (SWIM²) for precision agriculture. The research spans multiple scales from pore-level processes to field-scale hydrological modeling. As an editorial leader in the field, Vanderborght serves as Co-Editor of Vadose Zone Journal and Associate Editor for both Journal of Hydrology and SOIL, reflecting his significant contributions to soil and water science literature. His research group develops innovative approaches combining field measurements, advanced imaging techniques (like MRI and GPR), and sophisticated modeling frameworks to address critical challenges in soil-water-plant systems, particularly under changing climate conditions.

Martin KuentzView profile

Professor

• Pharmaceutical Technology
• Drug Delivery Systems
• Oral Formulations
• +3 more

Prof. Martin Kuentz is a Professor of Pharmaceutical Technology at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), leading the research group on Quality by Design of oral dosage forms. His primary affiliation is with the School of Life Sciences and the Institute for Pharma Technology and Biotechnology . He holds a Ph.D. in Pharmaceutical Technology from the University of Basel (1999) and a Pharmacist degree (1995). Prior to academia, he worked at F. Hoffmann-La Roche Ltd. as a Senior Scientist and Coordinator of Galenical Development Projects. Research Focus: His work centers on lipid-based formulations, amorphous solid dispersions, and computational tools for drug delivery. Key techniques include Raman spectroscopy, UV imaging, and molecular dynamics simulations. He has pioneered methods to enhance solubility of poorly water-soluble drugs using mesoporous silica, hydrophobic deep eutectic solvents (HDES), and machine learning-driven approaches. Publications & Awards: Prof. Kuentz has authored over 90 peer-reviewed articles and received awards such as the IPEC Foundation Best Manuscript Award (2014) and multiple Best Poster Awards at Swiss Pharma Science Days (2012–2015). He is a member of the American Association of Pharmaceutical Scientists (AAPS), Arbeitsgemeinschaft der Pharmazeutischen Verfahrenstechnik (APV), and the Swiss Society of Industrial Pharmacists (GSIA). Teaching: He teaches courses on industrial processes in life sciences, pharmaceutical chemistry, and quality management at both bachelor and master levels. He is certified in university didactics from the University of Basel (2008). Lab/Team: Leads the Oral Formulations for Chemical Drugs research team at FHNW. Grants/Advising: Supervises multiple Early Stage Researchers (ESRs) in the PEARRL network, including main supervision of ESR 2 and ESR 5, and co-supervision of ESR 1, 3, 4, and 6.

• Fuzzy Set Theory
• Fractional Calculus
• Mathematical Inequalities
• +6 more

Muhammad Bilal Khan is an Assistant Professor at the Department of Electronics and Power Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Pakistan. His research spans mathematical theory and practical applications in wireless communication sensing technology. His primary research interests include Fuzzy Set Theory , Fractional Calculus , Mathematical Inequalities , and RF Sensing Applications in healthcare. His theoretical work focuses on developing new mathematical frameworks for fuzzy-number valued functions, particularly exploring pre-invexity, harmonic convexity, and related integral inequalities. On the applied side, he has made significant contributions to non-contact health monitoring systems using software-defined radio technology for detecting conditions like text neck syndrome, spinal curvature disorders, and breathing abnormalities. Analysis of his 15 most recent publications reveals a dual research trajectory: approximately 60% focus on theoretical mathematical contributions in fuzzy analysis and integral inequalities, while 40% address practical applications of wireless sensing in healthcare. His mathematical work frequently appears in journals like Axioms and Symmetry , while his applied research is published in venues including IEEE Access and Sensors . His notable scientific contributions include developing novel frameworks for (q 1 , q 2 )-Linear Diophantine Fuzzy Sets and advancing the theory of Diamond Intuitionistic Fuzzy Sets. His healthcare applications research has pioneered non-invasive monitoring techniques using RF sensing for elderly fall detection, text neck syndrome diagnosis, and breathing pattern analysis. Dr. Khan maintains active collaborations with researchers across multiple institutions, particularly working with Mohamed S. Soliman (13 joint publications), Muhammad Aslam Noor (12 publications), and Savin Treanta (8 publications) on mathematical theory, while collaborating with Najah AbuAli, Mubashir Rehman, and Xiaodong Yang on healthcare sensing applications.

Ana JohnsonView profile

Professor

• Health Economics
• Public Health
• Health Policy
• +5 more

Dr. Ana Johnson is a Professor in the Department of Public Health Sciences at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. She holds cross-appointments as a Senior Adjunct Scientist at ICES (Institute for Clinical Evaluative Sciences) and is part of the Health Services and Policy Research Institute. Previously, she was a Canada Research Chair in Health Policy and held roles including former site director of the ICES Queen's Health Services Research Facility. Her academic background includes a PhD in Health Economics from the University of Texas, a Master's in Economics from the University of Houston, and a BA in Economics from the University of Nottingham. She has held faculty positions at the Medical College of Wisconsin and McMaster University, where she received a CIHR Career Award. Dr. Johnson's research focuses on economic evaluations of healthcare programs, cost-effectiveness analysis, decision-making frameworks in health policy, and resource allocation strategies. Her work spans public health, health technologies, and global health, with recent projects analyzing carotid plaque risk prediction, opioid use trends, and portable MRI feasibility in remote areas. Her scientific accolades include the CIHR Career Award and her role as a Canada Research Chair in Health Policy. Dr. Johnson teaches courses in health economics, policy, and quality healthcare systems at Queen's University.

• Tibetan Studies
• Buddhist Manuscripts
• Textual Analysis
• +2 more

Dr. Orna Almogi is a researcher in the Department of Indian and Tibetan Studies at the University of Hamburg , specializing in Tibetan Buddhist manuscripts and xylographs. Her affiliations include the Collaborative Research Centre (SFB) 950 'Manuscript Cultures in Asia, Africa and Europe' (2011–2019) and the Centre for the Study of Manuscript Cultures (CSMC) . Her research focuses on: Tibetan manuscript traditions and canonical collections Doxographical frameworks and textual authentication Material analysis of inks, pigments, and paper Transcultural transmission of Buddhist texts Preservation of endangered manuscript cultures Key publications examine the rNying ma rgyud 'bum collection, multispectral imaging techniques, and regional variations in Tibetan manuscript practices. She received the 2023 ERC Synergy Grant - Intellexus for mapping Indic and Tibetic Buddhist text corpora. In 2013, she co-organized the international conference 'Manuscript and Xylograph Traditions in the Tibetan Cultural Sphere'.

• Power Amplifiers
• Signal Processing
• Radar Systems
• +7 more

Souheil Ben Smida is an Associate Professor at the School of Engineering & Physical Sciences at Heriot-Watt University, affiliated with the Institute of Sensors, Signals & Systems. His research focuses on power amplifiers, signal processing, radar systems, and biomedical applications, with a particular emphasis on integrating neural networks and wireless communication technologies. His work spans areas such as nonlinear systems, 5G technology, and healthcare innovation, leveraging radar and machine learning for non-invasive monitoring. Recent contributions include dual-band radar systems for vital signs detection, low-complexity neural network-based channel estimation, and predistortion techniques for power amplifiers. Key research trends include biomedical applications using radar and neural networks, optimization of communication systems for 5G, and hardware implementations on FPGA platforms. His publications reflect a balance between theoretical advancements and practical applications in electronics, healthcare, and telecommunications. Dr. Ben Smida's expertise contributes to the UN Sustainable Development Goals, particularly in advancing health technologies and sustainable industrial innovation.

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +3 more

Dr. Moojan Ghafurian is an Assistant Professor in Systems Design Engineering at the University of Waterloo, cross-appointed to the Department of Electrical and Computer Engineering (ECE). His research focuses on human-robot interaction, artificial intelligence (AI), and assistive technologies, particularly in healthcare, transportation, and aging-related contexts. He explores topics such as socially interactive agents for mental health support, robotic learning through kinesthetic teaching, and smart infrastructure systems. His work bridges engineering and social sciences, addressing challenges like public speaking anxiety through robotic coaches and improving elderly care via ambient assisted living technologies. He has contributed to systematic reviews in AI for pavement performance prediction and social robots in cardiovascular medicine. His interdisciplinary approach involves collaboration across robotics, AI, and healthcare domains. Research trends in his articles emphasize AI-driven solutions for aging populations, human-robot collaboration in teaching scenarios, and autonomous systems in shared spaces. His studies often evaluate user perceptions and practical implementation of emerging technologies in real-world settings. No scientific awards are explicitly listed. His advising and grants are not detailed here, but his research aligns with grants focusing on robotics, healthcare tech, and smart infrastructure. He is involved in lab initiatives around assistive robotics and human-centric AI design.

Eric SobolewskiView profile

Assistant Professor

• Human Performance
• Muscular Physiology
• Exercise Physiology
• +3 more

Dr. Eric Sobolewski is an Assistant Professor in the Department of Health Sciences at Furman University, Greenville, SC. He holds a PhD from the University of North Carolina-Chapel Hill, an MBA from Weber State University, and BS/MS degrees from Utah State University. His research focuses on human performance optimization across populations, particularly in muscular physiology, aging, and sports medicine. His work explores interventions like strength training, stretching, and supplementation to enhance muscle function and physical performance. Recent studies investigate menstrual cycle impacts on strength metrics, circadian rhythms in athletic performance, and ultrasound-derived muscle characteristics. Education: PhD, UNC Chapel Hill (2015); MBA, Weber State University (2010); BS/MS, Utah State University (2008). Research emphasizes practical applications of exercise science, including fatigue measurement, muscle recovery techniques, and biomarker validation. He has published extensively in journals like Experimental Gerontology and Journal of Strength and Conditioning Research , with a focus on translating findings to clinical and athletic settings. No awards are explicitly listed in the provided texts. His advising and grant activities remain undocumented here, though his work frequently involves collaborations on biomechanical and physiological assessments. No lab affiliations are mentioned, but his research integrates advanced imaging techniques (ultrasound) and wearable technologies to measure exercise outcomes.

• Political Ecology
• Conservation Social Science
• Biodiversity Management
• +6 more

Elizabeth Sanna Barron is a Professor at the Department of Geography and Social Anthropology , Faculty of Social and Educational Sciences, Norwegian University of Science and Technology (NTNU). Her research intersects with political ecology, conservation social science, and critical physical geography, focusing on emplacement theory and its applications to sustainability. Co-PI for EMBAST (2022-2026) - NSF-funded algal bloom sustainability research Research Team Leader for Mission Mjøsa (2022-2027) - multidisciplinary freshwater management project Senior Researcher in Arctic Auditories (2021-2025) - Norwegian Research Council-funded hydrosphere study Her academic contributions include chairing IUCN's Fungal Use Specialty Group and serving as IPBES coordinating lead author. Current teaching includes advanced geography courses like GEOG8001 Theoretical Perspectives in Geography . Research spans fungal conservation epistemology, Arctic auditory ecology, and decolonial environmental frameworks. Key publication themes include: Emplacement theory development across 15+ years Water sustainability Intergovernmental biodiversity assessments Non-human agency Post-capitalist environmental models Alternative economic metrics

Yucheng XieView profile

Assistant Professor

• Security in Machine Learning
• Smart and Mobile Healthcare
• Mobile Computing and Sensing
• +3 more

Yucheng Xie is a Tenure-track Assistant Professor in the Graduate Department of Computer Science and Engineering at Yeshiva University, affiliated with the Katz School of Science and Health. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University and a Master’s in Computer Science from Stevens Institute of Technology. His research focuses on Security in Machine Learning/AI Systems , Smart and Mobile Healthcare , and Mobile Computing and Sensing . Notable contributions include non-invasive wireless sensing via mmWave and Wi-Fi signals for health monitoring, adversarial attacks on activity recognition systems, and secure mobile deep learning. His recent articles explore topics like contactless human concentration monitoring, palm-based authentication, and environment-invariant eating behavior tracking. These works highlight innovations in mmWave technology, cybersecurity for AI systems, and healthcare applications. Awards : Best Paper Runner-up (IEEE Conference on Communications and Network Security, 2024) Best Paper Runner-up (IEEE International Conference on Computer Communications and Networks, 2022) Best Paper Award (EAI International Conference on IoT Technologies for HealthCare, 2019) While no advising or grant details are provided, his work emphasizes practical applications of wireless sensing and secure AI systems. No specific lab affiliations are mentioned, though his research often involves interdisciplinary collaboration.

• Virtual Reality
• Haptic Feedback
• Sonic Interaction
• +8 more

Niels Christian Nilsson is a faculty member at Aalborg University , Denmark, with a research focus on Virtual Reality , Haptic Feedback , and Human-Computer Interaction . His work explores techniques for enhancing immersion and realism in VR through multimodal feedback, including tactile, auditory, and visual cues. Key research themes include redirected walking , body ownership illusions , and interactive sound synthesis , often in collaboration with Stefania Serafin and Rolf Nordahl. Nilsson's recent publications (2023-2024) address VR sickness in locomotion systems, tactile auditory augmentation for hearing-impaired users, and applications of VR in rehabilitation. He investigates novel input methods like blink-based interaction and geometric environments for mathematics education. His contributions span both practical implementations (e.g., ElboVR for post-surgery recovery) and theoretical frameworks for sensory feedback in virtual environments. Nilsson's work has been presented at premier venues such as CHI , VR , and IEEE Transactions on Visualization and Computer Graphics . While no formal awards or students are listed in this dataset, his research emphasizes interdisciplinary collaboration and user-centered design in immersive technologies, with implications for healthcare, gaming, and education.