Professor Ruth Cameron FREng is affiliated with the University of Cambridge, serving as a Professor of Materials Science in the Department of Materials Science & Metallurgy. She co-directs the Cambridge Centre for Medical Materials alongside Professor Serena Best, focusing on therapeutic materials that interact with the body. Her research spans medical materials and biomaterials , emphasizing ice templating for creating 3D environments to control tissue growth. These environments are applied in cardiac, dental, and orthopedic repair, cancer research, and blood cell production. She also investigates biodegradable polymers , composites , and drug delivery systems , exploring relationships between material processing, morphology, and degradation. Collaborators: Cedric Ghevaert, Sanjay Sinha, Andrew McCaskie Core Research Disciplines: Materials for Tissue Repair, Composite and Nanocomposite Materials, Polymers and Macromolecular Materials
Prof. Abbas Samani is a Professor at the Department of Electrical and Computer Engineering and holds a joint appointment in the Department of Medical Biophysics at Western University . He is a core faculty member of the Biomedical Engineering Graduate Program and an Associate Scientist at Imaging Research Laboratories of Robarts Research Institute . His academic journey includes a Ph.D. from the University of Waterloo, an M.Sc. from the University of Tehran, and a B.Sc. from Amirkabir University of Technology. His research focuses on biological tissue computational modeling and its applications in medical imaging, intervention, and image analysis . He develops computer/image-assisted tools for minimally invasive disease diagnosis and therapy , targeting heart disease, cancer, and lung disease . Key projects include myocardium biomechanical modeling , handheld medical devices for breast cancer screening , and lung disease diagnostics via CT image segmentation . His recent publications emphasize ultrasound elastography , finite element modeling , and inverse problems in biomechanics , primarily in journals like IEEE Transactions on Computational Imaging and Translational Oncology . His work spans both computational modeling and medical device development . Selected Graduate Supervision : Ph.D. Candidates : Seyed Hassan Haddad, Elham Karami, Seyed Mohammad Hesabgar Graduated Ph.D. Students : Ali Sadeghi Naini, Seyed Reza Mousavi M.Sc. Students : Cristian Linte, Patrick Courtis, Joseph O'Hagan, Hatef Mehrabian, Hirad Karimi, Hosein Amooshahi, Seyed Mohammad Hesabgar, Nastaran Ghadarghadr, Shadi Shavakh, Ehsan Salamati, Ehsan Omidi Teaching Contributions : Graduate: BME9519B/CAMI9519B/ECE9202B/ECE9022B - Advanced Image Processing and Analysis , MBP9530A - Human Biomechanics and Biomedical Applications Undergraduate: ECE4438B - Advanced Image Processing and Analysis , ES1050 - Introductory Engineering Design and Innovation Studio , MBP3330F - Human Biomechanics and Biomedical Applications Research Affiliations : Robarts Research Institute - Associate Scientist at Imaging Research Laboratories Western University - Core Faculty, Biomedical Engineering Graduate Program
Rahul Mangharam is a Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania's School of Engineering and Applied Science, with a secondary appointment in Computer and Information Science. He directs the Safe Autonomous Systems Lab (mLAB) and is a founding member of the PRECISE Center. Mangharam serves as Penn Director for the Safety21 DoT National University Transportation Center ($20MM), Director of the Autoware Center of Excellence, and leads the F1Tenth Autonomous Racing Community. Education: Ph.D. in Electrical & Computer Engineering, Carnegie Mellon University M.S. in Electrical & Computer Engineering, Carnegie Mellon University B.S. in Electrical & Computer Engineering, Carnegie Mellon University His research bridges formal methods, machine learning, and control systems with applications in medical devices, autonomous systems, and energy-efficient buildings. Key focus areas include safety verification for autonomous vehicles, real-time control systems, and patient-specific cardiac modeling for clinical applications. Recent work explores conformal prediction for safe perception, differentiable control barrier functions, and explainable autonomous systems. Mangharam's publication trends show strong emphasis on autonomous systems safety (control synthesis, uncertainty quantification) and biomedical applications (cardiac modeling, clinical decision support). His 2022-2023 publications demonstrate cross-disciplinary approaches combining control theory, machine learning, and formal methods for robust autonomous systems. Awards and Honors: Presidential Early Career Award (PECASE) 2016 IEEE Benjamin Franklin Key Award 2014 NSF CAREER Award 2013 Intel Early Faculty Career Award 2012 National Academy of Engineers US Frontiers of Engineering (2012, 2018) Stephen J. Angelo Term Chair (2008-2013) He leads multiple major grants including NSF CAREER, DoT Safety21 Center ($20MM), DoE Energy-Efficient Building Hub ($160MM), and DARPA HACMS. Current PhD students include Zirui Zang. Mangharam founded the F1Tenth autonomous racing platform used globally for education and hosts international competitions through the Autoware Center of Excellence.
Javad Dargahi is a Professor of Mechanical, Industrial and Aerospace Engineering at Concordia University, Montreal. His research focuses on haptic sensors, robotic systems for minimally invasive surgery, and smart sensor fabrication using micromachining and piezoelectric polymers. He leads projects in teletaction, embedded force sensing for soft robots, and medical device innovation. Research interests include tactile sensor design for robots and endoscopes, nonlinear impedance matching in surgical robotics, and deep learning-driven force estimation for catheters. His work bridges mechanical engineering with biomedical applications, emphasizing safety and precision in interventional surgeries. Recent publications explore multitask neural architectures for intracardiac catheters, real-time force control algorithms, and biomimetic soft robotics. His lab develops miniature optical sensors and stiffness-adaptive systems for surgical tools, with applications in cardiac ablation and vascular navigation.
Laura Munoz is an Associate Professor in the School of Mathematics and Statistics at the Rochester Institute of Technology (RIT), within the College of Science. She holds a BS from the California Institute of Technology and a Ph.D. from the University of California at Berkeley. Her research focuses on mathematical biology, dynamical systems, applied control theory, and cardiac electrophysiology, with a particular emphasis on understanding mechanisms underlying cardiac arrhythmias through mathematical modeling and computational methods. Her work explores topics such as ephaptic coupling in cardiac tissue, controllability of cardiac alternans, and the role of calcium dynamics in arrhythmogenesis. Recent studies include analyzing discordant alternans mechanisms and their link to ventricular fibrillation, as well as developing state estimation techniques for cardiac ionic models using Kalman filters. Munoz has published extensively in journals like Physical Review Letters , Chaos , and Computers in Biology and Medicine , and has presented at conferences such as the SIAM Conference on the Life Sciences. Munoz currently teaches courses such as Linear Algebra, Complex Variables, Mathematical Modeling I, and Mathematical Biology, emphasizing the application of mathematical tools to real-world biological systems. Her research integrates principles from applied mathematics, control theory, and computational biology to advance understanding of cardiac physiology and disease.
Juliane Nguyen, PhD, is a Professor in the Department of Pharmacoengineering and Molecular Pharmaceutics at the UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill. She serves as Vice Chair and Director of Graduate Admissions in her department and holds an adjunct appointment as Professor of Biomedical Engineering. Dr. Nguyen is also a member of the UNC Lineberger Comprehensive Cancer Center, where she applies molecular engineering approaches to develop innovative therapeutic solutions. Dr. Nguyen's research focuses on molecular engineering to advance protein-based therapeutics, live biotherapeutics (including engineered probiotic yeast), and extracellular vesicles. Her lab develops cutting-edge technologies to treat diverse conditions including cancer, myocardial infarction, chemotherapy-induced cardiotoxicity, and inflammatory bowel diseases. Her interdisciplinary approach integrates molecular engineering, pharmaceutical sciences, and bioinformatics to create complex biologics with exceptional safety and efficacy profiles. Key research areas include developing therapeutics for cardiac repair, genetically encoded materials targeting tumor-associated macrophages, live biotherapeutics for inflammatory bowel diseases using engineered probiotic yeast, and auxetic patches for dynamic organ repair. Analysis of Dr. Nguyen's recent publications reveals a strong focus on translational research with significant contributions to cardiac repair technologies, cancer immunotherapy, inflammatory bowel disease treatments, and advanced biomaterials. Her work consistently bridges fundamental molecular engineering with clinical applications, particularly in the areas of targeted drug delivery, extracellular vesicle therapeutics, and engineered live biotherapeutics. The research demonstrates a clear trajectory toward developing clinically viable solutions for previously challenging medical conditions. Dr. Nguyen has received numerous prestigious awards and honors including the NSF CAREER Award (2018), Eshelman Innovation Award (2020), and recognition as a Fellow of the Controlled Release Society (2023). She was appointed as a Standing Member of the NIH Drug and Biologic Therapeutic Delivery Study Section (2023-2025) and serves as Executive Editor of Advanced Drug Delivery Reviews since 2021. Her Galenus Guest Professorship at ETH Zuerich (2024) and keynotes at major conferences highlight her international recognition in the field. As Director of Graduate Admissions and an active mentor, Dr. Nguyen has advised numerous PhD and Master's students who have co-authored significant publications with her. Her research is supported by competitive grants including the NSF CAREER Award and other NIH-funded projects. The Nguyen Lab maintains strong collaborations across disciplines, particularly with cardiology, oncology, and biomedical engineering researchers. She leads an interdisciplinary team focused on translating molecular engineering breakthroughs into clinically impactful therapies. The Nguyen Lab operates as a dynamic, interdisciplinary research environment combining expertise in molecular engineering, pharmaceutical sciences, and bioinformatics. The lab's mission is to revolutionize medicine by developing next-generation therapeutics that target diseases at the molecular level. Current projects focus on translating cutting-edge research into life-changing therapies for patients suffering from cancer, myocardial infarction, colitis, and other challenging conditions. The lab's innovative approach to biomolecular engineering positions it at the forefront of developing safe, effective, and personalized therapeutic solutions.
Prof. Dr. Stefan Luther is a Max Planck Research Group leader (W2, tenured since 2013) at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, and an Honorarprofessor at the Faculty of Physics, University of Göttingen. He holds adjunct roles as Adjunct Associate Professor at Cornell University (2009–2012) and Northeastern University (2016–2018), and serves as DZHK-Professor at the Institute of Pharmacology and Toxicology, University Medical Center Göttingen. His research focuses on nonlinear spatiotemporal dynamics in excitable biological media, particularly cardiac arrhythmias. He pioneered 4D imaging of heart function and developed algorithms for optogenetic and electrical control of arrhythmias. Translational efforts span basic research to preclinical and clinical studies. Education includes a Diplom in Physics (1997) and PhD (2000) from Georg-August-University, Göttingen. Postdoctoral training followed at the University of Twente (2001–2004) and Cornell University’s LASSP (2004–2006). His lab, the Biomedical Physics group, explores electromechanical coupling in cardiac systems and develops novel therapeutic approaches. Collaborations include work on computational modeling, uncertainty quantification in dynamical systems, and fluid dynamics of multiphase flows.
Hsueh-Chia Chang is the Bayer Professor of Chemical Engineering in the Department of Chemical and Biomolecular Engineering at the University of Notre Dame's College of Engineering. He also holds a concurrent faculty position in the Department of Aerospace and Mechanical Engineering. As Principal Investigator of the Chang Lab, he leads cutting-edge research in microfluidic and nanofluidic technologies for biomedical applications. Prof. Chang received his B.S. in Chemical Engineering from Caltech in 1976, followed by M.S. and Ph.D. degrees in Chemical Engineering from Princeton University in 1977 and 1980, respectively. His academic journey has established him as a leader in the field of microfluidics and biosensing technologies. Chang's research focuses on developing low-cost liquid biopsy nanotechnologies for cancer screening and therapy management. His lab specializes in microfluidic and nanofluidic research coupled with electrokinetics, optics, plasmonics and acoustics for biosensing applications. Key research areas include Electrokinetics & Biosensing, Optics & Plasmonics, Nanoelectrokinetics, and Droplet Microfluidics. The Chang Lab has developed innovative platforms that can isolate and sort tumor cells, exosomes, microvesicles, lipoproteins, and stress granules from blood samples, then lyse these structures to release RNA/protein biomarkers for detection and quantification. His recent publications reveal a strong focus on extracellular vesicle diagnostics, cancer biomarker detection, and point-of-care diagnostic technologies. The research spans multiple disciplines including oncology, cardiology, and neurology, with applications for pancreatic, liver, breast, ovarian, and lung cancers as well as myocardial infarction diagnosis. Fellow of American Institute of Medical and Biological Engineering (2025) Provost Research Achievement Award, Notre Dame (2024) Fellow of the National Academy of Inventors (2020) Lifetime Achievement Award, American Electrophoresis Society (2019) Fellow of the American Physical Society (1997) Presidential Young Investigator Award, NSF (1985) Prof. Chang has advised over 50 PhD students and postdocs who have gone on to prominent positions in academia and industry. His lab has secured significant funding and has commercialized several technologies through startups like Aopia Biosciences, which launched NanoEx at ISEV 2024. The Chang Lab maintains active collaborations with medical researchers for validating their diagnostic platforms against various cancers and cardiac conditions.
Jennifer Lewis is the Hansjorg Wyss Professor of Biologically Inspired Engineering and Jianming Yu Professor of Arts and Sciences at Harvard University's Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). Her research focuses on bioengineering, materials science, and advanced manufacturing, with emphasis on 3D-printed functional materials, organoids, and soft robotics. She leads the Lewis Research Group, which develops biomimetic technologies for regenerative medicine, energy systems, and robotics. Lewis holds appointments in SEAS, the Department of Chemistry and Chemical Biology, and the Wyss Institute for Biologically Inspired Engineering. Her research areas include applied mathematics, fluid mechanics, soft matter physics, and bioengineering applications such as kidney organoid models, vascularized tissues, and programmable materials. Notable innovations include kidney organoid-on-chip systems for drug testing, 3D-printed liquid crystal elastomers, and bioprinted cardiac tissues. Lewis was awarded the 2025 James Prize in Science and Technology Integration for pioneering interdisciplinary research. Her lab's projects span organ building blocks, immune-response modeling in transplanted tissues, and acoustophoretic printing techniques for high-resolution bioprinting. Collaborations include the NIH Somatic Cell Genome Editing Program and industry partnerships for bioprosthetic valve research. She advises on grants totaling over $20M and mentors a multidisciplinary team of postdocs and graduate students in materials science, biomedical engineering, and mechanical engineering. Lewis' lab facilities include the Pierce Hall lab (Cambridge) and Allston SEAS campus, with state-of-the-art 3D printing systems, microfluidics platforms, and bioreactors for organoid culture. Current projects aim to engineer functional human tissues for therapeutic applications and develop smart materials with programmable mechanical/chemical responses.
Lawrence Staib is Professor of Radiology and Biomedical Imaging, Biomedical Engineering, and Electrical Engineering at Yale University. He serves as Director of Undergraduate Studies in Biomedical Engineering and is a member of Yale's Bioimaging Sciences division, Image Processing & Analysis Group, Yale Biomedical Imaging Institute, and Yale-BI Biomedical Data Science Fellowship program. Dr. Staib earned his A.B. in Physics from Cornell University (1982), followed by a Ph.D. in Engineering and Applied Science from Yale University (1990), and completed a postdoctoral fellowship at Yale School of Medicine (1991). His research focuses on developing advanced medical image analysis methods using machine learning and model-based approaches. Key research areas include neuroimaging applications for autism spectrum disorder classification, cardiac imaging analysis for strain and motion assessment, prostate cancer diagnosis and risk mapping, and innovative techniques for medical image segmentation with limited labeled data. Dr. Staib's work emphasizes uncertainty estimation in deep learning models, multi-modal image registration, and domain adaptation techniques to improve clinical decision support systems. His recent publications demonstrate a strong trend toward developing interpretable AI models for clinical applications, with particular emphasis on fMRI analysis for neurological conditions, cardiac motion analysis, and prostate cancer diagnosis. His work frequently addresses the challenge of limited labeled data in medical imaging through innovative self-supervised, semi-supervised, and few-shot learning approaches. Fellow of the American Institute for Medical and Biological Engineering (AIMBE) (2015) Distinguished Investigator Award from the Academy for Radiology & Biomedical Imaging Research (2017) MICCAI Fellow (2022) Medical Image Analysis Second Best MICCAI Paper Award (2005) ASNR Cum Laude Scientific Exhibit Award (2003) Dr. Staib serves on the editorial board of Medical Image Analysis and as Associate Editor of IEEE Transactions on Biomedical Engineering. His research is supported by NIH grants including the Autism Center of Excellence program. He leads the Image Processing & Analysis Group within Yale's Bioimaging Sciences division, collaborating extensively with James Duncan, John Onofrey, Xenophon Papademetris, and other Yale researchers on applications spanning neuroimaging, cardiology, and oncology. Current projects focus on developing robust AI models for clinical decision support with emphasis on uncertainty quantification and interpretability.
Ying Ge is a Professor at the University of Wisconsin–Madison, jointly appointed in the Department of Cell and Regenerative Biology and the Department of Chemistry. Her research integrates chemistry, biology, and medicine, focusing on advanced mass spectrometry-based proteomic and metabolomic technologies to address cardiovascular diseases. Education: B.S., Peking University (1997) Ph.D., Cornell University (2002) Ying Ge's work centers on developing ultra high-resolution mass spectrometry platforms for top-down proteomics and metabolomics, applied to systems biology studies of heart failure and regenerative medicine. Key projects include myofilament protein modification mapping, stem cell therapy evaluation, and biomarker discovery for cardiac conditions. The 15 most recent articles highlight her lab's methodological innovations (e.g., photocleavable surfactants, native mass spectrometry) and biological discoveries in AMPK structural heterogeneity, RBM20-mediated cardiotoxicity, and sarcomere-metabolism cross-talk during regeneration. These publications span proteomics, metabolomics, structural biology, and clinical applications.
Distinguished Professor Peter Ralph is a faculty member at the University of Technology Sydney (UTS), holding the position of Professor of Marine Biology within the Faculty of Science and serving as the Executive Director of the Climate Change Cluster (C3). He is also the founder of the NSW Deep Green Biotech Hub and an influential member of global initiatives such as UNESCO’s Blue Carbon Scientific Working Group and the Czech Academy of Sciences’ Global Change Research Centre. Leadership Roles: Director of the Climate Change Cluster, Deputy-Chair of Sydney Institute of Marine Sciences. Research Collaborations: Partnerships with CSIRO, industry, NGOs, and international institutions. Key Contributions: Over 280 publications and $15M+ in research funding. His research focuses on algae-based solutions to climate change and sustainability, including carbon capture, bioplastic production, waste-water remediation, and circular bio-economy models. He explores advanced manufacturing through Industry 4.0 integration and zero-waste bio-refinery approaches, while also advancing algal phenomics using automated high-throughput screening systems. Recent articles highlight innovations in AI-driven biorefinery optimization, microalgal bioprospecting, and mutagenesis techniques for rare earth element extraction. His work bridges environmental science with engineering, addressing challenges in algae cultivation scalability and commercialization. Scientific Awards: 2012 and 2018 UTS Vice-Chancellor’s Research Excellence Awards. Peter has secured major grants, including the Fermentalg PhD Project on Microalgae Screening, PNG Natural Seafood’s Macroalgae Product Development, and the Winifred Trust Foundation’s Aquaculture initiative. His research teams collaborate across disciplines to transform algae into sustainable resources for food, energy, and biomanufacturing. He leads UTS’s Climate Change Cluster (C3), a hub for interdisciplinary climate research, and actively promotes algae-building technologies and carbon storage innovations through biomasonry products.
Behnaam Aazhang is the J.S. Abercrombie Professor of Electrical and Computer Engineering at Rice University and Director of the Rice Neuroengineering Initiative (NEI). He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign. His roles include leading the multi-university Rice Neuroengineering Initiative and directing the Center for Neuroengineering. He has held an Academy of Finland Distinguished Visiting Professorship (FiDiPro) at the University of Oulu (2006-2014) and received an Honorary Doctorate from the University of Oulu in 2017. Education: Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1986) M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1983) B.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1981) Research Interests: Dr. Aazhang’s work focuses on signal/data processing, information theory, and neuroengineering applications. Key areas include: Neuronal circuit connectivity and learning impacts Real-time closed-loop neuromodulation for neurological disorders (epilepsy, Parkinson’s, depression) Patient-specific cardiac pacing systems Cybersecurity in cloud computing Awards & Honors: 2022 Rice Outstanding Doctoral Thesis Advisor Award 2019 SIGMOBILE Test of Time Award 2017 Honorary Doctorate (University of Oulu) 2013 IEEE Communication Society Advances in Communication Award AAAS and IEEE Fellowships (2012 and 1999) Grants & Advising: His research is supported by multi-university collaborations and grants. He has advised numerous graduate students in electrical engineering and neuroengineering, though specific names are not listed here. Labs & Teams: Leads the Aazhang Lab and the Rice Neuroengineering Initiative, focusing on translational technologies for neurological and cardiac disorders, including non-invasive neuromodulation and cloud security systems.
Dr. Phil G. Campbell is a Research Professor at Carnegie Mellon University with joint appointments in Biomedical Engineering, Biological Sciences, and Materials Science & Engineering. His research explores growth factor bioavailability and biomimetic tissue engineering. Campbell's laboratory investigates cellular microenvironments, focusing on how growth factors interact with extracellular matrices and influence tissue regeneration. His work spans basic science of protein-material interactions and applied research in cardiac, skeletal, and corneal tissue engineering. He has co-authored over 15 peer-reviewed publications and holds 10 US patents. Campbell received the Benjamin Richard Teare Teaching Award in 2018 and contributes to the Molecular Biosensor and Imaging Center at CMU.
Dr. Darryl Dickerson is an Assistant Professor in the Department of Mechanical and Materials Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on mechanical characterization of biological interfaces, design of bioinspired materials, and advancing inclusive engineering education practices. He holds a Ph.D. (details not explicitly provided in text). Research Interests: Dr. Dickerson’s work bridges biomechanics and biomaterials engineering with social equity in education. Key areas include: Mechanical properties of biological interfaces (e.g., bone-cartilage junctions) Development of biomaterials for tissue repair using 3D printing and electrospinning Anti-marginalization strategies in engineering education, particularly for Black and Brown students Publications Trends: Recent work emphasizes dual themes: (1) Biomedical innovation through advanced material fabrication and (2) Inclusive pedagogy addressing systemic inequities in STEM education. Notable contributions include scaffold designs for osteochondral repair and frameworks for reducing microaggressions in team-based learning. Grants and Advising: No specific grants or advisees listed in the provided text. His work appears to be grant-funded through NIH/National Science Foundation pathways common in biomaterials and education research. Labs and Teams: While not explicitly stated, his research likely involves collaborations with FIU’s Center for Engineering and Computing’s diversity initiatives and biomaterials labs focusing on tissue engineering applications.
