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Anniek Hartman-HeerschopView profile

Researcher

• Rehabilitation Engineering
• Biomedical Engineering
• Neuroprosthetics
• +3 more

Dr. Anniek Hartman-Heerschop is a Researcher at the Faculty of Medical Sciences, University of Groningen. Her work focuses on advancing rehabilitation technology, particularly in the field of neuroprosthetics and myoelectric control systems. She explores how users adapt to multi-articulating prosthetic hands and optimize training methods for seamless prosthesis operation. Field of Discipline: Rehabilitation Institution: University of Groningen Her research emphasizes mode-switching behavior in upper-limb prostheses, performance transfer from training to real-world use, and the cognitive/motor challenges in prosthetic control. Key themes include enhancing user adaptation through tailored training protocols and improving clinical outcomes via advanced prosthetic designs. Publications highlight interdisciplinary approaches combining biomedical engineering, rehabilitation science, and human factors. Recent studies address skill transfer efficacy and user interface optimization for multi-articulating prosthetics. No scientific awards are explicitly mentioned in the text. Advising roles or specific grant details are not provided, though collaborative efforts with colleagues like Dr. Bongers and van der Sluis suggest active research partnerships.

• Materials Science
• Biomedical Engineering
• Additive Manufacturing
• +3 more

Rahul Cherukuri is a Doctoral Researcher at the Department of Materials Science and Environmental Engineering, Faculty of Engineering and Natural Sciences, Tampere University. His research focuses on advanced materials science, with an emphasis on biomedical applications, additive manufacturing processes, and mechanical property characterization of materials such as stainless steels, polymers, and superalloys. His work involves interdisciplinary exploration of tribology (friction and wear), biocompatibility of materials, and high-throughput microstructural analysis using techniques like in-situ SEM micropillar compression and nanoindentation. Key areas of study include laser powder bed fusion for biomedical implants, wire and arc additive manufacturing of duplex stainless steels, and high-strain-rate behavior of SU-8 polymers. Rahul has contributed to peer-reviewed articles published between 2018 and 2025, with a recent focus on nickel-free stainless steel for biomedical use and polymer mechanics under extreme conditions. His research bridges fundamental material science with applied engineering solutions for medical and aerospace applications. No scientific awards or grants are explicitly mentioned in the provided text, but his OrcID (https://orcid.org/0000-0001-8888-3618) indicates ongoing academic activity. Contact details include +358504641633 and rahul.cherukuri@tuni.fi.

• Cognitive Neuroscience
• Parkinson's Disease
• Biopsychology
• +7 more

Nathaniel Miller is an Associate Professor in the Department of Behavioral Sciences at the College of Arts, Sciences and Education, University of Michigan-Flint. His research bridges cognitive neuroscience, psychology, and biomedical engineering, with a strong focus on Parkinson's disease and the application of technology in symptom monitoring and mobility enhancement. His research interests include: Cognitive Neuroscience and Biopsychology Parkinson’s Disease Interventions Use of Technology in Parkinson Disease Technology Use in Older Adults Aging and Motor Control Signal Processing for Medical Diagnostics His recent publications (2018–2025) reveal a consistent trajectory in developing and validating mobile and wearable technologies for assessing tremor, postural stability, and gait in Parkinson’s patients. He frequently collaborates with Charlotte Tang and Linda Zhu, integrating human-computer interaction principles with clinical neuroscience. His work appears in journals such as ACM Transactions on Accessible Computing , Parkinsonism and Related Disorders , and ASME Journal of Engineering and Science in Medical Diagnostics and Therapy . He is currently involved in NIH-funded research on mobile self-tracking applications for Parkinson’s patients and previously led a community-based exercise intervention study funded by Blue Cross Blue Shield. His teaching includes Cognitive Neuroscience, Cognitive Psychology, and Research Methods. Grants and Funding: Validating a mobile self-tracking application designed for People with Parkinsons – NIH, $429,000 (2024–2026), Co-Investigator UM-Flint CIT START Fund – UM-Flint, $0 (2023), Co-PI Effectiveness Assessment of a Community Based Assisted Exercise Intervention for Parkinson's Disease – Blue Cross Blue Shield, $67,263 (2014–2015), PI He has no listed scientific awards in the provided text. His lab focuses on interdisciplinary research involving mobile health technologies, signal processing, and patient-centered design for neurodegenerative conditions.

• Machine Learning
• Artificial Intelligence
• Fuzzy Logic
• +3 more

Carlos Andrés Pena is a Professor and Director of the Institute of Information and Communication Technologies (IICT) at HEIG-VD. His research focuses on Machine Learning, Artificial Intelligence, and Bioinformatics, with applications in healthcare, environmental science, and computational biology. He leads projects like ImpTox and EXPLaiN, addressing challenges in nanotoxicology, phage therapy, and ethical AI. His work bridges AI with real-world problems, including antimicrobial resistance and soil health monitoring. Education: Not explicitly listed in the provided text. Research Interests: Pena’s research integrates AI with interdisciplinary domains. Key areas include: Machine learning for healthcare diagnostics (e.g., diabetic retinopathy, perinatal health) Phage genome engineering using deep learning to combat antibiotic resistance Protist bioindicators for soil quality assessment using metabarcoding Fuzzy logic systems for biomarker discovery and disease classification Grants & Projects: He has secured over CHF 1M in funding, including EU Horizon 2020 projects and Swiss National Science Foundation grants. Notable projects include: ImpTox (2021–2025): Investigating nanoplastics’ toxicity on allergies PERPHECT (2019–2021): Engineering phages via LSTM networks HES-XPLAIN (2023–2024): Open platform for explainable AI Labs/Teams: Directs the IICT lab, collaborating with institutions like CNRS and University of Fribourg on bioinformatics and environmental studies.

Byron C WallaceView profile

Adjunct Associate Professor

• Machine Learning
• Data Mining
• Natural Language Processing (NLP)
• +3 more

Byron C. Wallace is an Adjunct Associate Professor of Health Services, Policy and Practice at Brown University. His research focuses on machine learning, data mining, and natural language processing (NLP), with an emphasis on healthcare applications such as evidence synthesis, systematic review automation, and computational methods for biomedical data analysis. Wallace completed his PhD in Computer Science at Tufts University in 2012 under the supervision of Carla Brodley. His work bridges computational methods and real-world healthcare challenges, particularly in reducing human workload in evidence-based practices through AI-driven systems like abstrackr . Key areas of research include: Developing machine learning models for systematic review pipeline optimization Addressing class imbalance in datasets and improving probability estimates Computational narrative analysis and multi-threaded text disentanglement Collaborative tools for methodologists and end-users in evidence-based medicine Publications span high-impact journals like Genetics in Medicine and conferences such as IEEE ICDM and NAACL. His work frequently intersects computational biology (e.g., single-cell analysis) and clinical decision support systems. No awards or grants were explicitly mentioned in the provided texts, though his contributions to evidence synthesis tools suggest significant institutional impact.

• Bioinformatics
• Ontology Development
• Biomedical Informatics
• +7 more

Robert Stevens is a Professor of Computer Science at the University of Manchester, affiliated with the School of Computer Science's Department of Computer Science. He holds roles in the Bio-Health Informatics Group and the Information Management Group, focusing on interdisciplinary research in bioinformatics, ontology development, and semantic technologies. His academic journey includes a B.Sc. in Biochemistry, an M.Sc. in Biological Computation, and a D.Phil. in Computer Science. He has supervised over 10 PhD students, mentoring them in areas such as biomedical semantics, ontology engineering, and accessibility technologies. His research emphasizes managing complex biological data through ontologies, semantic web technologies, and e-Science frameworks like Taverna Workflow Workbench. Notable projects include TAMBIS, a bioinformatics integration system, and contributions to the OpenPHACTS and myGrid initiatives. Stevens teaches courses on ontology languages (OWL) and computational biology, emphasizing practical applications in post-genome biology. His work supports UN Sustainable Development Goals related to advancing health and innovation.

• Leadership Studies
• Organizational Behavior
• Management
• +3 more

Mark Bell is an Assistant Professor of Management at Wayland Baptist University (WBUonline campus). His research focuses on leadership dynamics, followership behavior, and the intersection of Christian principles with organizational leadership. He has published extensively on topics such as toxic leadership, social identity theory, and biblical leadership models. Key research interests include analyzing leadership values, followership typologies, and the application of religious texts (e.g., 1 Peter, New Testament) to modern management practices. His work bridges theological frameworks with empirical studies in organizational behavior. Publications span over five decades, demonstrating contributions to both management theory and biomedical research (pre-1980 articles indicate prior or interdisciplinary work). No scientific awards or grants are explicitly listed in the provided materials. He currently advises no listed students and maintains an email address at bellm@wbu.edu. No specific lab affiliations or team collaborations are documented in the available text.

• Surface Science
• Fluid Mechanics
• Materials Science
• +3 more

Gary Wells is a Senior Lecturer in the School of Engineering, specializing in surface science and fluid mechanics. His research focuses on slippery liquid-infused surfaces, droplet dynamics, and advanced material coatings with applications in biofilm resistance, energy, and biomedical fields. He has led and collaborated on 13 active and completed research projects, including initiatives funded by DSTL and EPSRC, exploring topics like superhydrophobic coatings and Leidenfrost-based energy systems. His work emphasizes practical applications, such as improving surface durability under dynamic conditions and optimizing material design for medical and engineering contexts. Research Interests: His primary areas include surface engineering, wettability control, droplet motion, and material characterization. He has pioneered studies on silicone oil-grafted surfaces and auxetic metamaterials, advancing their use in anti-biofilm applications and energy-efficient systems. Project Leadership: As Principal Investigator of the DSTL-EPSRC funded project on multifunctional hierarchical surface coatings for CBR survivability, he integrates interdisciplinary approaches to develop robust, multifunctional surfaces. Collaborative projects include fluid mechanics of wettability-patterned liquid surfaces and biofilm-resistant coatings. Awards: No scientific awards explicitly listed in the provided texts. Advising & Grants: Gary Wells leads or co-investigates projects totaling over £ multimillion in funding, focusing on EPSRC and DSTL grants. His grants emphasize applied research, such as improving surface coatings for medical devices and defense applications. Labs/Teams: Collaborates with teams in materials science, fluid dynamics, and biomedical engineering, though specific lab names are not mentioned.

Bernhard U. SeeberView profile

Professor

• Auditory perception
• Computational models
• Binaural hearing
• +5 more

Prof. Dr. Bernhard U. Seeber is a faculty member at the Technical University of Munich (TUM) in the Department of Electrical Engineering and Information Technology. He specializes in audio information processing, focusing on auditory perception, computational modeling, and hearing device technologies. Academic Rank: Professor Primary Affiliation: TUM Department of Electrical Engineering and Information Technology Research Interests: Auditory scene analysis, cochlear implants, binaural hearing, room acoustics, and signal processing for hearing aids His recent publications demonstrate expertise in auditory nerve modeling, spatial hearing optimization, and audio-visual simulation environments. While no formal awards or student advisement information are available in the provided texts, his work has significant implications for improving hearing technologies and understanding auditory perception mechanisms.

• Artificial Intelligence
• Natural Language Processing
• Data Analytics
• +4 more

Professor Xiaohui Tao is a leading academic at the University of Southern Queensland (UniSQ) within the School of Mathematics, Physics and Computing. He serves as Computing Discipline Team Leader and Chair of the ICT Programs' Governance and Leadership Committee. With a PhD in Information Technology from Queensland University of Technology (2009), he has over 200 publications in top-tier journals and conferences like TKDE, AAAI, and SIGIR. His research spans Artificial Intelligence, Natural Language Processing, Machine Learning, Health Informatics, and Data Mining. He leads a prominent research group focused on real-world applications of innovative algorithms and systems. Recent articles include works on automatic summarization, brain computing, and machine unlearning His 2024 publications demonstrate leadership in Explainable AI, Recommender Systems, and Healthcare Applications Awarded the Australia Research Council Grant and Endeavour Research Fellowship, he actively contributes to academic governance as acting Head of School and editorial roles in journals like Elsevier's Natural Language Processing Journal. His mentorship has guided 10+ doctoral candidates to completion.

• Parallel and Distributed Systems
• Cloud Computing
• Computer and Communication Networks
• +12 more

Deniz Turgay Altılar is a Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He has been an active academic since 1988, progressing from Research Assistant to Associate Professor in 2013 and later achieving the rank of Professor. His work is centered on distributed systems, cloud computing, and computer networks, with expanding interests in AI applications for agriculture and healthcare. Education Bachelor of Science, Control and Computer Engineering, Istanbul Technical University (1984–1988) Master of Science, Computer Engineering, Istanbul Technical University (1988–1992) Research experience at Queen Mary and Westfield College, University of London (1998–2002) His research interests include parallel and distributed systems, cloud computing, secure computation, deep learning, and cybersecurity. He applies these to interdisciplinary domains such as corn yield prediction, radar identification, and medical diagnostics using ECG signals. His recent work emphasizes efficient and secure AI systems. The publication trends show a strong focus on distributed deep learning, straggler mitigation, secure multiparty computation, and hardware-based attack detection. His work bridges theoretical computer science with real-world applications in agriculture, medicine, and national security. Recent articles highlight innovation in lightweight AI models, privacy-preserving computation, and cross-layer system design. Scientific Awards No specific awards are mentioned in the provided text. He actively supervises students and leads major research projects, including those on cache side-channel attacks in multi-tenant clouds, distributed OpenCL platforms, real-time scheduling, and molecular communication in nano-networks. These projects reflect sustained external funding and leadership in cutting-edge computing domains. His research group collaborates across disciplines and institutions, contributing to both national and international scientific communities. Labs and Teams : While not explicitly named, his role as Principal Investigator on multiple projects suggests leadership in a research lab focused on distributed systems, cybersecurity, and applied AI at ITU.

David R. Piwnica-WormsView profile

Professor

• Molecular Imaging
• Cancer Biology
• Signal Transduction
• +7 more

David R. Piwnica-Worms, M.D., Ph.D., is a Professor and Department Chair in the Department of Cancer Systems Imaging, Division of Diagnostic Imaging at The University of Texas MD Anderson Cancer Center. He also holds joint appointments as Professor in the Department of Cancer Biology at MD Anderson and in the Department of Bioengineering at Rice University, reflecting his interdisciplinary expertise. His research focuses on advancing molecular imaging technologies to study biological processes in real time within living systems. Key interests include protein-protein interactions, signal transduction pathways such as IkB/NFkB and EGFR, multidrug resistance, and metabolic flux. His lab has developed groundbreaking tools like luciferase protein fragment complementation platforms, dual-color protein interaction switches, and bioluminescent fusion reporters, which are widely adopted in biotechnology and biomedical research. Dr. Piwnica-Worms leads the Quantitative Imaging Analysis Core (QIAC) and holds the Gerald Dewey Dodd, Jr., Endowed Distinguished Chair in Diagnostic Imaging. His work bridges basic science and clinical translation, particularly in developing novel PET tracers and activatable peptides for clinical imaging and precision medicine applications. He is actively involved in research training and mentorship, though specific students are not listed. His leadership roles and sustained research output indicate ongoing grant and contract support. No specific scientific awards are mentioned in the provided text. His lab contributes significantly to the advancement of imaging-based approaches in cancer research, enabling deeper understanding of disease mechanisms and therapeutic responses. These efforts support MD Anderson’s mission of eliminating cancer through innovation and interdisciplinary collaboration.

• Wearable Technologies
• IoT in Healthcare
• Biomedical Signal Processing
• +5 more

Veronica Mattioli is a Researcher in the Department of Engineering and Architecture at the University of Parma, actively contributing to interdisciplinary research at the intersection of engineering and human health. She teaches Multimedia Technologies in the Computer, Electronic and Communications Engineering undergraduate program, demonstrating strong engagement in both education and applied research. Her research focuses on developing and evaluating technological systems for health monitoring, particularly using wearable devices and IoT platforms. Key areas include driver stress assessment , cardiac autonomic response analysis , and physical activity tracking via smartwatches . Her work leverages real-world data collection and signal processing techniques to understand human physiological responses in natural environments. The recent publications (2023–2025) reflect a consistent trend in applying engineering solutions to healthcare and transportation safety challenges. Her studies often involve longitudinal experiments and multi-sensor integration, emphasizing practical deployment and validation of monitoring systems in real-life scenarios such as car driving and sports performance. While no formal scientific awards are listed in the provided text, her active publication record indicates strong scholarly contributions. She collaborates extensively with researchers including Luca Davoli, Laura Belli, Riccardo Raheli, and Gianluigi Ferrari, suggesting participation in a well-established research team focused on biomedical and IoT applications. She advises no students listed in the text, and no information about grants or specific laboratories is provided. However, her involvement in multi-partner projects like DistriMuse implies participation in collaborative, possibly EU-funded or industry-linked initiatives. Her email for professional contact is veronica.mattioli@unipr.it .

• Molecular Medicine
• Hepatic Metabolism
• p53 Protein
• +3 more

Begóna Porteiro COUTO is a Researcher at the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) within the University of Santiago de Compostela. Her primary affiliation is with the Department of Physiology, focusing on Molecular Metabolism research through the MetaMol group. She also contributes to the GIBIOMED Biomedical Research Group. She earned her Doctorate from the University of Santiago de Compostela in 2018 with a thesis titled Role of p53 in hepatic metabolism , supervised by Dr. Carlos Diéguez González and Dr. Rubén Nogueiras Pozo. No scientific awards or specific grants are explicitly mentioned in the provided text. Her research interests center on the interplay between molecular pathways, particularly p53, and metabolic processes in liver physiology.

Meredith ReidView profile

Assistant Professor

• Magnetic Resonance Spectroscopy
• Magnetic Resonance Imaging
• Neuroimaging
• +5 more

Meredith Reid is an Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University, part of the College of Engineering. She is actively engaged in research related to biomedical imaging and neurological disorders, with a focus on advanced MRI and MRS techniques. Education: Ph.D. in Biomedical Engineering, University of Alabama at Birmingham M.S. in Biomedical Engineering, University of Alabama at Birmingham B.S. in Biomedical Engineering, University of Alabama at Birmingham B.A. in Spanish, University of Alabama at Birmingham Her research interests center on Magnetic Resonance Spectroscopy (MRS) and Magnetic Resonance Imaging (MRI) , particularly in the context of neuroimaging for psychiatric disorders and neuropharmacology . She employs advanced imaging modalities to investigate biomarkers of conditions such as PTSD, especially in older adult populations. Her interdisciplinary work bridges electrical engineering, neuroscience, and clinical psychiatry, aiming to translate neuroimaging findings into potential therapeutic interventions. While no publications are listed in the current text, her ongoing research on PTSD biomarkers suggests active engagement in high-impact, translational neuroscience projects. Scientific Awards: She mentors graduate students in engineering and biomedical research, as evidenced by her supervision of NSF Graduate Research Fellows. Her work likely involves external funding, including grants supporting neuroimaging and mental health research. She contributes to interdisciplinary teams combining engineering, neuroscience, and clinical psychology. Dr. Reid is associated with research laboratories focused on medical imaging and neuroengineering within the Electrical and Computer Engineering department, where she leads projects integrating signal processing, image analysis, and clinical neuroscience applications.