جست‌وجوی استاد و پژوهشگر

Cristiano Palegoمشاهده پروفایل

مدرس ارشد

• Microwave Engineering
• Biosensors
• Machine Learning Applications in Biology
• +۶ مورد دیگر

Dr. Cristiano Palego is a Senior Lecturer in Microwave Instrumentation at the School of Computer Science and Engineering, Bangor University. His research bridges microwave engineering, biosensor development, and environmental monitoring, with a focus on insect telemetry and cancer cell analysis. Key affiliations: SUMCASTEC (EU-funded), KESS II (PhD projects), and collaborations with S&A Fresh Produce Ltd and Cardiff University. Research Interests span microwave biosensors for cellular analysis, machine learning in insect behavior classification, and electromagnetic interactions with cancer stem cells. His work addresses UN Sustainable Development Goals in environmental conservation and health innovation. Scientific Contributions include advancements in: Microwave-based bee-tracking systems Glioblastoma organoid exposure studies MEMS phase shifters for biomedical applications Dielectrophoretic cell discrimination Recent Publications (2022–2024) highlight trends in integrating machine learning with microwave and radar systems for: Honeybee behavior classification Automated pollination monitoring High-frequency cancer cell analysis Awards & Recognition include contributing to Bangor University's 2023 Queen's Anniversary Prize-winning research on societal impact. Supervision : Open to advising PhD students in microwave biosensing, entomology, and biomedical device development.

• Biomedical Engineering
• Medical Device Development
• Non-Invasive Therapies
• +۳ مورد دیگر

Dr Pouria Aryan is an ARC Postdoctoral Fellow in the Biomedical Engineering department at the University of Adelaide. His research focuses on innovative biomedical engineering solutions, including non-invasive therapies for gynaecological and urological conditions, structural health monitoring of industrial infrastructure, and advanced materials characterization. He holds a Research Fellow academic rank and specializes in integrating engineering principles with medical applications. Key research areas include: Development of PRP and laser therapies for gynaecological complications Non-invasive treatments for overactive bladder and urinary incontinence Defect detection in pipelines using optical and ultrasonic sensor systems 3D laser vibrometry for structural damage analysis His work bridges biomedical innovations with engineering diagnostics, contributing to both clinical and industrial applications. Current projects emphasize real-time monitoring solutions and advanced biomaterials.

• Cardiac Tissue Engineering
• Stem Cell Therapy
• Natural Biomaterials
• +۳ مورد دیگر

Dr. Ge (Christie) Zhang is a Professor in the Department of Biomedical Engineering at the University of Akron College of Engineering and Polymer Science. She holds a joint faculty position at the Department of Integrative Medical Science at Northeast Ohio Medical University and serves as a Consultant Staff at the Lerner Research Institute, Cleveland Clinic. B.Sc., Capital Medical University, China (2002) Ph.D., Biomedical Engineering, University of Minnesota (2006) Her research focuses on cardiovascular disease therapeutics , combining cardiac tissue engineering , stem cell therapy , and natural biomaterials to develop translational approaches for myocardial repair. Key innovations include aptamer-functionalized hydrogels for growth factor delivery and microfluidic sensors for single-cell analysis. Recent publications span double-network hydrogels , ECM scaffold applications , and microfluidic biosensing , reflecting her work at the intersection of biomaterial design and cardiac regeneration . Funding (~$6M) comes from the American Heart Association, NIH, and NSF. 2018 University of Akron College of Engineering Outstanding Researcher Award 2022 University of Akron Outstanding Researcher Award 2023–24 Mid-American Conference Academic Leadership Development Program Fellow Dr. Zhang leads a lab developing translational therapeutics , with expertise in cardiac extracellular matrix and bioassay development for cell secretome analysis.

• Cardiac Electrophysiology
• Cardiovascular Engineering
• Defibrillation
• +۷ مورد دیگر

Belalcazar A is a prominent researcher in the fields of cardiac electrophysiology and oncology, with significant contributions to the development and optimization of implantable cardiac devices and cancer therapeutics. Their work spans computational modeling of defibrillation systems, safety and efficacy of pulsed field ablation, and molecular mechanisms in pancreatic and lung cancers. Collaborative research with institutions involved in cardiovascular and oncological research underscores their interdisciplinary impact. PhD in Biomedical Engineering or related field (inferred) Extensive research in cardiac rhythm devices and cancer biology Research interests center on cardiac electrophysiology , particularly subcutaneous defibrillators and ablation technologies, and molecular oncology , focusing on pancreatic and lung cancers. Their work integrates computational modeling, clinical data analysis, and molecular biology to improve therapeutic outcomes. Key themes include device optimization, energy delivery safety, and targeted molecular pathways in cancer. The recent publications show a strong trend toward bioengineering solutions in cardiology and targeted cancer therapies . Articles focus on improving implantable device efficacy, minimizing tissue damage, and exploring novel molecular targets such as HSP90, NF-κB, and Met pathways. The integration of simulation and clinical validation highlights a translational research approach. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students or grant funding are not listed, the collaborative nature of the publications—often with senior researchers and multi-institutional teams—suggests active participation in funded research projects and potential mentorship roles. Future work appears directed toward refining bioelectric therapies and advancing targeted oncology treatments. Labs and Teams: Belalcazar A. likely operates within or collaborates with electrophysiology and oncology research labs, particularly those focused on cardiac device innovation and cancer signaling pathways, though specific lab names are not provided.

Yuecheng Peter Zhouمشاهده پروفایل

استادیار

• Biomaterials
• Optics
• Neuroengineering
• +۳ مورد دیگر

Yuecheng Peter Zhou is an Assistant Professor in the Department of Materials Science and Engineering at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in Bioengineering, the Materials Research Laboratory, and the Beckman Institute. He earned his B.S. (2014) and Ph.D. (2019) in Materials Science and Engineering from UIUC, followed by a postdoc at Stanford University's Chemistry Department and Wu Tsai Neurosciences Institute. His research focuses on developing ultrasensitive optical tools to study bioelectric and biochemical processes in brain and heart tissues. Key projects include label-free optical detection of action potentials, engineering cell-material interfaces in bioelectronics, and designing soft materials for biomedical applications. He teaches MSE 457 (Polymer Chemistry) and actively recruits graduate students, postdocs, and undergraduates with expertise in optics, biomaterials, and neuroscience. Dr. Zhou's interdisciplinary lab integrates materials science, chemistry, physics, and neuroscience. Notable publications include work on electrochromic polymers for bioelectric signal detection and polymer dynamics in complex flows. His group aims to advance non-invasive electrophysiological monitoring and therapeutic strategies for neurodegenerative and cardiac diseases.

• Cachexia
• Sarcopenia
• Lung Cancer
• +۳ مورد دیگر

Wouter van de Worp is a Researcher at the Faculty of Health, Medicine and Life Sciences , Maastricht University , focusing on NUTRIM - Healthy Ageing . His work bridges pulmonology, oncology, and metabolic research. Research Interests : Cachexia, sarcopenia, lung cancer metabolism, COPD-related muscle atrophy, and nutritional interventions. Methodologies : Develops animal models, employs CT imaging, and conducts systematic reviews. Publications (2017–2024) reveal a focus on cancer-induced muscle wasting, radiotherapy effects, and therapeutic strategies. His 2024 Cancers study links cachexia to NSCLC prognosis, while 2023 work in Journal of Cachexia explores orthotopic models. Collaborations include experts in oncology (Dr. Langen), radiology (Dr. Verhaegen), and nutrition (Dr. Schols). His research emphasizes translational approaches for cachexia management in respiratory and oncologic contexts.

Parag Chitnisمشاهده پروفایل

دانشیار

• Medical Ultrasonics
• Photoacoustics
• Biomedical Imaging
• +۴ مورد دیگر

Parag Chitnis is an Associate Professor in the Department of Bioengineering at George Mason University's College of Engineering, where he has served since Fall 2014. He also acts as Principal Investigator at the Krasnow Institute of Advanced Study, focusing on systems science and bioengineering innovation through interdisciplinary research. PhD, Mechanical Engineering - Boston University MS, Mechanical Engineering - Boston University BS, Engineering Physics and Mathematics - West Virginia Wesleyan College His research centers on medical ultrasonics and photoacoustics, pioneering non-invasive biomedical imaging techniques for tissue characterization, tumor detection, and neural signal monitoring. He integrates DNA-based nanosensors, NIR-II fluorescent probes, and machine learning algorithms to advance diagnostic precision. Recent articles highlight innovations in photoacoustic tomography, wearable ultrasound systems, and ultrasound-responsive drug delivery. Key trends include transcranial imaging, vascular mapping, and real-time muscle fatigue monitoring using portable devices. His work extends to the Center for Advancing Systems Science and Bioengineering Innovation (CASSBI), with clinical collaborations focused on pelvic floor elastography, neuroinflammation diagnostics, and implantable device actuation via ultrasound.

• Machine Learning
• Deep Learning
• Statistical Signal Processing
• +۳ مورد دیگر

Tadas Žvirblis serves as an Associate Professor within the Interdisciplinary Statistical Research Group at Vilnius University's Institute of Data Science and Digital Technologies, maintaining his research office at Akademijos St. 4, room 604A in Vilnius. His academic profile bridges theoretical statistics with practical engineering and medical applications through advanced computational methodologies. His research program centers on machine learning and deep learning innovations for complex signal analysis, with dual specializations in biomedical diagnostics (EEG, NIRS, cardiovascular monitoring) and industrial systems (conveyor mechanics, gear fault detection, engine emissions). Key methodological contributions include novel data augmentation techniques for time series, generative modeling of vibration signals, and prognostic frameworks for reliability engineering, demonstrating consistent interdisciplinary collaboration across medical and engineering domains. Analysis of his 13 publications from 2023-2025 reveals a strategic research trajectory applying deep learning to data-scarce scenarios, particularly in biomedical signal interpretation and industrial predictive maintenance. His work shows increasing focus on clinical applications since 2024, including ECMO mortality prediction and aortic morphology studies, while maintaining strong industrial engineering output through IEEE conference publications on conveyor systems and engine diagnostics. Dr. Žvirblis actively supervises doctoral research as Senior Researcher for Gajane Mikalkėnienė's project (2023-2027) developing EEG-based depression diagnosis methods under Informatics field N 009. His grant portfolio includes multiple industry-collaborative projects evidenced by co-authorship with clinical researchers and engineering teams across Lithuania, Poland, and Germany. As a core member of the Interdisciplinary Statistical Research Group, he contributes to the unit's mission of advancing statistical methodologies for real-world data challenges, with particular emphasis on time-series analysis in non-stationary environments. His laboratory work integrates signal processing hardware with deep learning frameworks to address industrial automation and medical monitoring challenges.

Ryan Sengerمشاهده پروفایل

دانشیار

• Metabolic Engineering
• Synthetic Biology
• Systems Biology
• +۵ مورد دیگر

Ryan Senger serves as Associate Professor in the Department of Biological Systems Engineering at Virginia Tech's College of Engineering, with courtesy appointments in Chemical Engineering (Virginia Tech) and Surgery (Virginia Commonwealth University School of Medicine). His research bridges metabolic engineering, synthetic biology, and biomedical diagnostics through innovative applications of Raman spectroscopy. Education: Ph.D., Chemical Engineering, Colorado State University, 2005 M.S., Chemical Engineering, Colorado State University, 2002 B.S., Chemistry, Millikin University, 1999 Senger's research focuses on developing bio-based technologies for sustainable chemical production, disease detection through urine analysis, and synthetic biology containment. His lab pioneers Raman spectroscopy-based chemometric urinalysis (Rametrix) for detecting diseases including bladder cancer, chronic kidney disease, Lyme disease, and Long COVID. Current projects involve bioelectrical system engineering in microbes, electron harvesting from waste biomass, and secure synthetic genetic material containment. His work integrates AI/ML for spectral analysis and genome-scale metabolic modeling. His recent publications demonstrate strong trends in veterinary diagnostics (canine cancer detection), neurological disease monitoring, and renal dysfunction profiling using Raman chemometrics. The research consistently applies spectral fingerprinting to translate complex biological data into clinical diagnostic tools. Awards: 2022-24: Celebrating Innovation Recognition (x4) 2023: Dean’s List of Instructors 2016: VT Knowledgeworks Innovation Challenge Winner 2009: The Gaden Award for Metabolic Engineering Senger actively mentors students through laboratory research and teaches courses including Thermodynamics of Biological Systems, Metabolic Engineering, and Bio-Raman Chemometrics. His funding portfolio includes NSF grants for metabolic modeling workshops and commercial projects with Rametrix Technologies (where he serves as CTO), focusing on dialysis patient monitoring, renal disease management, and aquaculture feed development. He directs the Rametrix Technologies research team that develops urine-based diagnostic devices and spectral analysis software, maintaining strong industry-academic partnerships for technology commercialization.

Mohammad A. Ahadمشاهده پروفایل

دانشیار

• Bioinstrumentation
• Biosensors
• Biosignal Modeling
• +۴ مورد دیگر

Dr. Mohammad A. Ahad is an Associate Professor and Interim Department Chair in Electrical & Computer Engineering at Georgia Southern University, where he has been faculty since 2011. His research focuses on bioinstrumentation, biosensors, and biomedical signal processing, particularly in Electrical Impedance Myography (EIM) for non-invasive medical diagnostics. Education: Ph.D. Electrical and Computer Engineering, University of Tennessee, Knoxville (2007) M.S. Electrical and Computer Engineering, University of Tennessee, Knoxville (2002) B.S. Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (1998) Research Focus: Dr. Ahad's work spans biomedical instrumentation development, FPGA-based system design, and computational modeling of biological systems. His EIM research enables novel diagnostic approaches for muscle pathologies and cancer detection through finite element analysis and electrode optimization. Grant Leadership: Secured competitive funding as PI for multiple NIH and NSF projects focusing on human-robot interfaces, non-invasive instrumentation, and early cancer detection techniques using impedance methods. Teaching: Specializes in hands-on engineering education including digital design with DE2 boards, embedded systems programming, and signal processing laboratories.

• Cardiology
• Electrophysiology
• Cardiac Arrhythmias
• +۵ مورد دیگر

Dominik Karl Linz is a Professor in the Department of Biomedical Sciences at the University of Copenhagen, specializing in the Physiology of circulation, kidney and lung. His work bridges cardiology, electrophysiology, and innovative treatment approaches for complex cardiac rhythm disorders, with significant contributions to the understanding and management of atrial fibrillation and related conditions. Dr. Linz's research interests focus on cardiac electrophysiology with particular emphasis on: Atrial fibrillation and atrial flutter treatment Pulsed field ablation techniques Cardiac arrhythmia monitoring and detection Postoperative cardiac rhythm management Digital health applications for cardiac care Physiological interactions between circulation, kidney function, and pulmonary systems His recent publications demonstrate a strong focus on advancing ablation technologies, particularly pulsed field ablation for atrial fibrillation and flutter. Dr. Linz has made significant contributions to clinical trials assessing novel catheter technologies and has published extensively on long-term outcomes of ablation procedures. His work in Nature Medicine on AI for electrocardiography reporting represents a major advancement in integrating artificial intelligence with clinical cardiac care, receiving widespread attention from both academic and clinical communities. Dr. Linz's research has garnered substantial recognition, with multiple publications picked up by numerous news outlets and shared widely across social media platforms including X (with over 200 mentions for his Nature Medicine paper) and Bluesky. His work on digital health applications has particular relevance in the current landscape of remote patient monitoring and telemedicine. He maintains extensive international collaborations, working with researchers across Europe and North America as evidenced by the multinational author lists on his publications. His research group appears to be associated with the Jespersen Group at the University of Copenhagen, focusing on circulation, kidney, and lung physiology within the broader biomedical sciences framework.