Find Academic Supervisors

Douglas B. CowanView profile

Researcher

• Cardiovascular Biology
• Mitochondrial Transplantation
• Ischemia-Reperfusion Injury
• +3 more

Douglas B. Cowan serves as a Staff Scientist in the Cardiology and Vascular Biology Program at Boston Children's Hospital and holds an Associate in Surgery position at Harvard Medical School. His career spans over three decades with foundational training in genetics and molecular biology. B.Sc. in Honors Genetics, University of Western Ontario (1987) M.Sc. and Ph.D., University of Toronto (1989, 1994) Postdoctoral Fellowship, MRC-sponsored at Mount Sinai Hospital and Toronto General Hospital Dr. Cowan's research focuses on mitochondrial transplantation as a novel therapy for ischemia-reperfusion injury, with pioneering work demonstrating that autologous mitochondria injected during reperfusion significantly enhance cardiac recovery. His expertise bridges cardiovascular molecular biology , bioengineering , and translational surgical innovation , particularly in developing rapid mitochondrial isolation techniques and coronary delivery systems. Current investigations explore mitochondrial integration mechanisms in human cardiomyocytes using super-resolution microscopy. His publication portfolio includes 124 works with 4,810 citations and an h-index of 39, dominated by high-impact studies in PLoS ONE , American Journal of Physiology , and Journal of Thoracic and Cardiovascular Surgery . Key trends show evolution from foundational work on endothelial junctions (1999) to mitochondrial therapy dominance since 2009, with recent expansion into stroke applications (2023) and donor heart preservation (2022). Dr. Cowan collaborates extensively with James D. McCully (135+ co-publications), Pedro J. del Nido, and Ingeborg Friehs within the Cardiac Surgery Research Laboratory at Boston Children's Hospital. Current projects include optimizing mitochondrial delivery for pediatric cardiac applications and investigating metabolic mechanisms in fatty acid metabolism post-transplantation.

Gülsüm AŞIKSOYView profile

Assistant Professor

• Flipped Learning
• Gamification in Learning
• Interactive Simulations for Physics Education
• +2 more

Prof. Dr. Gülsüm AŞIKSOY serves as the Head of the Artificial Intelligence Engineering Department at Near East University. She has held prior roles as a Lecturer in the Department of Computers and Instructional Technology (2012–2018) and Biomedical Engineering (2018–present), as well as coordinating flipped learning and educational technology initiatives. Her research bridges pedagogy and technology, focusing on gamification, digital simulations, and neural networks in education. Education: B.Sc. in Physics Engineering (Ankara University), M.Sc. in Electrical and Electronic Engineering, Ph.D. in Computers and Instructional Technology Research Interests: Flipped learning, gamification, physics education simulations, and artificial neural networks are central to her work. Roles: Currently leads the Artificial Intelligence Engineering Department and coordinates physics education and flipped learning programs.

Laia Mogas-SoldevilaView profile

Assistant Professor

• Biomaterials
• Sustainable Design
• Biofabrication
• +3 more

Laia Mogas-Soldevila serves as Assistant Professor of Graduate Architecture and Director of DumoLab Research at the University of Pennsylvania's Stuart Weitzman School of Design, pioneering radically sustainable material practices that bridge science, engineering, and the arts for architectural and product design innovation. Her academic credentials include: Interdisciplinary doctorate in biomaterials science, biomedical engineering, and advanced design from Tufts University School of Engineering Two master’s degrees from the Massachusetts Institute of Technology School of Architecture Licensed architect with Fine Arts minor from Polytechnic University of Catalonia and École Nationale Supérieure de Beaux-Arts Dr. Mogas-Soldevila's research reimagines matter as a fundamental design driver through biomaterials and bio-based fabrication , emphasizing environmental justice and circular economy principles. Her work partners with scientists to develop unprecedented material capabilities, spanning from molecular-scale biopolymer engineering to full-scale architectural applications that address climate challenges. Analysis of her 15 most recent publications (2020-2025) reveals dominant themes in carbon-sequestering living materials, agricultural waste valorization, and adaptive biological skins. These works consistently bridge architecture, material science, and environmental engineering, with increasing focus on participatory design and urban farming applications as seen in her 2024 Portable Bioremediation Technologies project. Her scientific recognition includes: Johnson&Johnson Foundation Woman in STEM2D Scholar Award Research funding encompasses Penn's Research Foundation Grant, Environmental Innovation Grant, Sachs Art Innovation Grant, and Global Engagement Fund, supporting her interdisciplinary exploration of sustainable material systems. Her pedagogy cultivates novel theory and applied methods for biomaterial implementation across design disciplines. As DumoLab Research Director, she leads cross-disciplinary collaborations developing material-driven computational workflows for digital fabrication, with recent projects exhibited at MoMA, Milan/London Design Weeks, and ACADIA conferences, translating laboratory innovations into tangible environmental solutions.

Elvira Maria Correia FortunatoView profile

Professor

• Transparent Electronics
• Sustainable Electronics
• Flexible and Printed Electronics
• +3 more

Elvira Maria Correia Fortunato is a full Professor at the Department of Materials Science, NOVA University Lisbon (NOVA FCT), and a pioneering researcher in transparent electronics and sustainable materials. She served as Vice-Dean of NOVA University (2017-2022), Director of the Associated Laboratory of the Institute of Nanomaterials, Nanofabrication and Nanomodelling (1998-2022), and Minister for Science, Technology and Higher Education of Portugal (2022-2024). Education: Degree in Physics and Materials Engineering (1987) – NOVA FCT PhD in Materials Engineering: Microelectronics and Optoelectronics (1995) – NOVA FCT Research Interests: Her work focuses on transparent electronics , flexible and printed electronics , microelectronics , nanomaterials , and biomedical applications of nanotechnology. She is a trailblazer in sustainable electronics, having developed the world’s first paper transistor and led groundbreaking projects like INVISIBLE and DIGISMART , both funded by the European Research Council (ERC). Scientific Awards & Honors: Grand Officer of the Order of Infante D. Henrique (2010) Blaise Pascal Medal (2016) Czochralski Prize (2017) Pessoa Prize (2020) Horizon Impact Prize (2020) World Federation of Engineering Organizations GREE Award (2020) Strait of Magellan Prize (2020) Innovation in Materials Prize – FEMS (2021) Human Rights Prize – Portuguese Parliament (2021) Portugal's Women's Leadership Award (2021) IUMRS-Frontier Materials Scientists Award (2021) Gold Medal – Portuguese Order of Engineers (2021) 2023 Career and Recognition Award – Portuguese Materials Society Trusted Personality of the Year – Reader’s Digest (2024) Most Influential Women in Portugal – Revista Executiva (2024) Leadership & Service: She has been a member of the European Commission’s Group of Chief Scientific Advisors (2015-2020), the Luso-American Foundation Board of Trustees (2014-2022), and the Chancellery of the Honorific Orders of Portugal since 2010. She is an elected member of the Engineering Academy, European Science Academy, Lisbon Science Academy, and Europaea Academy. Labs & Teams: She led the Associated Laboratory of the Institute of Nanomaterials, Nanofabrication and Nanomodelling for over two decades and has coordinated numerous national and international projects, including initiatives promoting gender equality in academia through the SPEAR project.

Richard B. BrownView profile

Professor

• Miniature Technology
• Solid-State Chemical Sensors
• Integrated Circuits
• +3 more

Richard B. Brown is the Dean of the College of Engineering at the University of Utah, a position he has held since 2004. Under his leadership, the College has experienced remarkable growth, with research expenditures increasing from $30 million to $97 million annually and student enrollment more than doubling to over 6,000 students. Brown is also a distinguished professor whose research has significantly advanced miniature technology and sensor development. Dr. Brown earned his bachelor's and master's degrees in electrical engineering from Brigham Young University in 1976, followed by a Ph.D. in electrical engineering from the University of Utah in 1985. After 19 years as a faculty member at the University of Michigan, he returned to Utah as Dean of Engineering. His academic journey reflects a deep commitment to both research excellence and educational innovation. Dr. Brown's research focuses on miniature technology, particularly solid-state chemical sensors and integrated circuits. His pioneering work includes developing miniature ion-selective electrodes, enzymatically- and immunologically-coupled sensors for complex biological molecules, and amperometric sensors for heavy metals and neurochemicals. His research group was first to incorporate both electrical and chemical sensors on silicon brain probes and first to differentiate spoken words from microelectrode arrays on human brains. His work spans high-speed microprocessors to low-power, implantable electronics, with significant commercial applications through multiple startups. Dr. Brown has authored 225 peer-reviewed publications, including one cited over 3,400 times, and holds 21 patents. His research has led to four successful companies: i-SENS (glucose sensors), Sensicore (chemical sensors), Mobius Microsystems (silicon clock generators), and e-SENS (water chemistry sensors). Industry applications include 1.7 million glucometers and 1.4 billion test strips sold annually. Life Fellow of the IEEE Fellow of the National Academy of Inventors Utah Governor's Medal for Excellence in Science and Technology University of Utah's Rosenblatt Prize (2018) Inaugural holder of the H.E. Thomas Presidential Endowed Dean's Chair (2020) As an educator, Dr. Brown has mentored 31 PhD students who have become leaders in their fields. His innovative integrated circuit design curriculum has transformed how this subject is taught worldwide. Under his leadership, diversity in the College has significantly increased, with women students growing from 10% to 20% and Students of Color from 20% to 34% of the student body, with retention rates for these groups exceeding those of their counterparts. His work with industry through departmental advisory boards has led to programs addressing workforce needs, including the Master of Software Development and systems engineering certificate. Dr. Brown has established strong industry connections through industrial advisory boards at both departmental and college levels. This engagement has resulted in programs tailored to industry needs, including a robust electrical power program, the Master of Software Development for career changers, and a systems engineering certificate developed in response to requests from companies like Northrop Grumman, which has 155 current openings for systems engineers. During the pandemic, he led the College in pivoting research to address COVID-19, with over a dozen faculty members focusing on detection, transmission, and prevention.

Bo HuView profile

Professor

• Biostatistics
• Bioinformatics
• Neurosurgery
• +7 more

Bo Hu is Professor of Biostatistics & Bioinformatics and Professor of Neurosurgery at Duke University, where he leads methodological and collaborative research at the intersection of biostatistics, bioinformatics, and clinical neurosciences. His dual appointments situate him within the Division of Biostatistics in the Department of Biostatistics & Bioinformatics and within the neurosurgical faculty. Education: Ph.D. in Biostatistics, University of Wisconsin–Madison, 2006 Research Interests: Professor Hu’s methodological work centers on advanced biostatistical and machine-learning techniques for high-dimensional biomedical data, including generative AI, synthetic data generation, and predictive analytics in medicine. Clinically, he collaborates on precision-medicine trials in oncology, neurodegeneration (Alzheimer’s disease), metabolic disease (type 2 diabetes and bariatric surgery), and treatment-resistant depression. His neuroimaging genetics portfolio explores structural brain endophenotypes in bipolar disorder and epilepsy using single-cell transcriptomic integration. Complementing his medical research, he maintains a vigorous program in remote-sensing informatics, developing deep-learning solutions for object detection, domain adaptation, and energy-infrastructure mapping from overhead imagery. Recent Grant Portfolio: Empagliflozin to Improve Right Ventricular Function in Pulmonary Arterial Hypertension – Cleveland Clinic Lerner College of Medicine (2025-2030) Gender and Asthma – Mayo Clinic Hospital-Arizona (2025-2027) Engaging Patients in Prenatal Genetic Testing Decisions – Cleveland Clinic Lerner College of Medicine (2025-2027) Laboratory & Collaborative Networks: Professor Hu leads interdisciplinary teams that bridge Duke’s Department of Biostatistics & Bioinformatics with clinical departments (Neurosurgery, Psychiatry, Medicine) and external partners such as Cleveland Clinic, Mayo Clinic, and multiple NIH consortia. These collaborations support large-scale clinical trials, multi-omics neuroimaging studies, and AI-driven remote-sensing analytics.

Andrew GoodwinView profile

Professor

• Critical Care
• Clinical and Translational Research
• Electronic Health Records (EHR)
• +4 more

Andrew Goodwin, M.D., MSCR, is a Professor of Medicine and Section Chief of Critical Care at the Medical University of South Carolina (MUSC). His research focuses on clinical and translational studies to improve critical illness outcomes through electronic health record (EHR) innovations, clinical decision support systems (CDSS), and multicenter clinical trials. He leads MUSC’s ICU clinical trials program, collaborating with networks like PETAL, ACTIV, and STRIVE, and investigates EHR-driven adherence to ICU best practices and machine learning applications in clinical trials. Dr. Goodwin received his B.S. in Bioengineering from Syracuse University, M.D. from SUNY Stony Brook, and completed residency at Massachusetts General Hospital and fellowship in Harvard’s Combined Program. He joined MUSC faculty in 2011, where he directs research infrastructure through the CTSA program and trains early-career clinical trialists. Critical Care Clinical and Translational Research EHR-enabled Investigation Clinical Decision Support Systems Sepsis Respiratory Failure His recent publications span 2014–2024, addressing topics like EHR harmonization, CDSS for fluid prescribing, driving pressure in ARDS, and microRNA in sepsis. Awards include the Department of Medicine’s Research Faculty Mentor of the Year.

• Plasma Physics
• Fusion Plasmas
• Applied Mathematics
• +4 more

Nathan Garland is a Lecturer in Applied Mathematics and Physics at Griffith University, Australia. He is affiliated with the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the Centre for Quantum Dynamics. Prior to joining Griffith, Garland conducted postdoctoral research at Los Alamos National Laboratory and served as sessional teaching staff at James Cook University. Education: PhD in Electrical and Electronic Engineering and Mathematics from James Cook University B.Eng (Hons) and B.Sc in Electrical and Electronic Engineering and Mathematics from James Cook University His research focuses on computational plasma modeling, with applications in low-temperature plasmas, tokamak fusion, electron transport in liquids, and deep learning integration for plasma simulations. He combines advanced numerical methods with experimental validation to address challenges in energy systems and plasma medicine. Recent publications highlight trends in plasma physics, machine learning-driven cross-section determination, and electron transport across gas-liquid interfaces. Garland contributes to fusion energy discourse through media appearances and peer review roles in journals like Plasma Sources Science and Technology and European Physical Journal D . Grants: Quantum Mechanics: The Missing Link? - $1.2M LANL LDRD grant (2019-2021) Digitally Disrupted Demos - $7.5K Griffith Sciences grant (2022) Supervision: Principal Supervisor for PhD project 'Better Modelling of Solvents' Associate Supervisor for PhD projects on landscape evolution modeling and non-equilibrium electron scattering Collaborations: Member of Tokamak Disruption Simulation (TDS) SciDAC Center IAEA Fusion Energy Conference Program Committee member

Nele MentensView profile

Professor

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +12 more

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Cao HaishanView profile

Associate Professor

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +12 more

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

Claudia CeaView profile

Assistant Professor

• Bioelectronics
• Neural Interfaces
• Soft Electronics
• +7 more

Claudia Cea is an Assistant Professor in the Department of Electrical & Computer Engineering at Yale University's School of Engineering and Applied Science. Her research focuses on developing soft, multifunctional bioelectronic devices designed to interface with the nervous system for long-term neural interrogation and modulation. She leads The Cea Group, which integrates principles from bioelectronics, materials science, and neuroscience to engineer conformable, high-resolution neural interfaces. Ph.D., Columbia University M.Sc., San Diego State University B.Sc., University of Pisa Her research interests lie at the intersection of bioelectronics , neural engineering , and soft materials design , with a focus on creating minimally invasive tools for understanding brain–body communication. By combining electrical, optical, and chemical modalities, her lab develops technologies capable of both recording and modulating neural activity in central and peripheral circuits. These innovations aim to uncover fundamental neural mechanisms and translate them into therapies for neurological, psychiatric, and systemic disorders. The recent publications demonstrate a strong trajectory in implantable bioelectronics , particularly in organic electrochemical transistors , ionic communication systems , and multimodal neural interfaces . Her work consistently appears in top-tier journals such as Nature Materials , Science Advances , and PNAS , reflecting significant impact in neuroengineering and bioelectronic medicine. The research emphasizes device autonomy, biocompatibility, and real-time neural signal processing. Her scientific achievements have been recognized with prestigious honors: MIT Technology Review 35 Innovators under 35 SEAS Ph.D. Research Symposium Winner, Columbia University CSNE Hackathon Winner, University of Washington Shiley Scholarship in Bioengineering Claudia Cea has secured competitive funding and recognition that support her lab’s innovative work. While specific grant details are not listed, awards such as the Shiley Scholarship and hackathon wins indicate strong support from institutions like the Center for Sensorimotor Neural Engineering (CSNE). Her role as principal investigator of The Cea Group suggests active mentorship of graduate students and postdoctoral researchers in interdisciplinary research. The lab fosters collaboration across engineering, neuroscience, and clinical domains to accelerate translation. The Cea Group is dedicated to advancing soft, multifunctional electronics for biomedical applications. The team focuses on designing conformable, implantable devices that seamlessly integrate with biological tissues. Their work spans materials synthesis, device fabrication, in vivo testing, and clinical translation, aiming to bridge gaps between engineering innovation and medical need. The lab environment promotes creativity, rigor, and translational thinking in next-generation neural technologies.

• Bioimaging
• Bioluminescence
• Molecular Biology
• +4 more

Takeharu Nagai is a Professor at Hokkaido University's Research Institute for Electronic Science, leading the Nagai Laboratory in the Department of Biomolecular Science and Engineering. His research integrates bioimaging technologies with molecular biology to explore fundamental questions about life and develop practical applications. Ph.D. from The University of Tokyo (1998) Professor, Hokkaido University (2022-present) Visiting Professor, Nara Institute of Science and Technology (2022) Vice Director, Osaka University SANKEN (2020-2022) Research Interests: Focus on Singularity Biology to study outlier cells' impact on biological systems, trans-scale imaging technologies (e.g., AMATERAS 3.0), and autoluminescent plants for sustainable lighting. Key methodologies include fluorescent/bioluminescent protein development and super-resolution imaging. Publication Trends: Recent works span cellular thermodynamics , water quality monitoring , synaptic plasticity , and trans-scale analytical systems . Collaborative projects address kidney injury mechanisms, plant biotechnology, and medical diagnostics. Scientific Recognition: 44th Shimadzu Prize (2024) 15th Nakatani Award Grand Prize (2023) Japanese Society of Microscopy Award (2020) 38th Japanese Society for Bioimaging Research Paper Award (2023) Grants & Collaborations: Recipient of JST ERATO grants and a Takeda Science Foundation grant (2021) for trans-scale life imaging. Collaborates with RIKEN, JST PRESTO, Health Sciences University of Hokkaido, and Kyushu Institute of Technology. Lab Overview: The Nagai Lab maintains active international partnerships (Indonesia University, Emory University) and hosts students through Osaka University's Frontier Bio program. Technical staff and research associates support projects in bioluminescent reporter systems and cellular logic.

David B. GoView profile

Professor

• Plasma Science and Engineering
• Heat Transfer
• Energy Conversion
• +11 more

David B. Go serves as the Viola D. Hank Professor of Aerospace and Mechanical Engineering and Concurrent Professor in Chemical and Biomolecular Engineering at the University of Notre Dame. As Vice President and Associate Provost for Academic Strategy, he leads implementation of the University Strategic Framework, oversees faculty appointments/promotions, and directs institutes including the Lucy Institute for Data and Society and Institute for Ethics and the Common Good. He holds leadership roles on the Provost’s Cabinet, President’s Leadership Committee, and multiple university committees. His educational background includes: Ph.D. in Mechanical Engineering, Purdue University (2008) M.S. in Aerospace Engineering, University of Cincinnati (2004) B.S. in Mechanical Engineering, University of Notre Dame (2001) Prof. Go's research centers on plasma science, heat transfer, and energy conversion. His group investigates direct thermal-to-electrical energy conversion using pyroelectric crystals and thermionic emission for waste heat recovery, solar conversion, and building efficiency. They develop thermal diodes for improved energy systems and microfluidic platforms for cancer diagnostics. Interdisciplinary approaches combine theoretical modeling, computational analysis, and experimental validation to advance sustainable energy solutions and biomedical applications. His 2020 publications demonstrate consistent focus on plasma applications for energy conversion and catalysis. Key themes include plasma-surface interactions for chemical analysis, non-equilibrium plasma catalysis for ammonia synthesis, and piezoelectric energy harvesting systems. These works reveal his strategic emphasis on leveraging microscale plasma phenomena to突破 thermodynamic limitations in chemical processes and energy harvesting. Major recognitions include: NSF CAREER Award (2013) and AFOSR Young Investigator Award (2010) for foundational plasma research IEEE NPSS Early Achievement Award (2018) for plasma engineering contributions Electrochemical Society Toyota Fellowship (2015) for catalysis innovations ASME Fellow (2016) and ESA Rising Star Award (2018) Commercialization success with 1st Source Bank Award (2021) for Atlas3D startup Prof. Go has secured major funding from NSF, AFOSR, DARPA, DOE, NIH, and industry partners totaling over $10M. His grants support plasma-catalyzed ammonia synthesis, thermal management in additive manufacturing, and microfluidic cancer diagnostics. These projects have yielded two licensed technologies and the Atlas3D startup (acquired by Siemens). He has mentored numerous graduate students and postdocs through the Go Research Group. The Go Research Group maintains specialized laboratories for plasma diagnostics, thermal analysis, and microfluidics. The team collaborates with architects on energy-efficient building design, chemists on plasma catalysis, and biomedical researchers on cancer diagnostics. Current initiatives focus on scaling plasma-catalyzed ammonia production and developing point-of-care microfluidic devices for early cancer detection.

David GoView profile

Professor

• Plasma Science
• Heat Transfer
• Fluid Dynamics
• +3 more

David Go is the Vice President and Associate Provost for Academic Strategy at the University of Notre Dame, where he also holds the Viola D. Hank Professorship in Aerospace and Mechanical Engineering. He oversees implementation of the University Strategic Framework and manages faculty appointment processes, with administrative oversight of institutes including the Lucy Institute for Data and Society and the Fitzgerald Institute for Real Estate. His research focuses on plasma science, heat transfer, fluid dynamics, and chemical analysis, with significant contributions to plasma-electrochemistry and sustainable chemical synthesis. Education: B.S. (2001) and M.S. (2004) from University of Notre Dame, Ph.D. (2008) from Purdue University His work explores plasma-liquid interfaces, solvated electron dynamics, and plasma-assisted catalysis, particularly for light hydrocarbon conversion. Recent publications highlight advancements in non-aqueous plasma electrolysis, machine learning-enhanced plasma sintering, and interfacial transport phenomena. Awards include the Air Force Young Investigator Award, NSF CAREER award, and multiple honors for teaching and innovation. Current research trends integrate plasma physics with chemical engineering and materials science, focusing on sustainable energy solutions and microscale manufacturing. Scientific recognitions include: Fellow of the American Society of Mechanical Engineers Senior Member of IEEE IEEE Early Achievement Award First-Source Bank Commercialization Award Go has supervised graduate studies and received patents for technologies in plasma-assisted synthesis and microfluidic diagnostics. His leadership roles involve committees addressing academic governance, risk management, and foreign influence in research.

Elizabeth S. ChenView profile

Associate Professor

• Biomedical Informatics
• Clinical Informatics
• Natural Language Processing
• +7 more

Dr. Elizabeth S. Chen is an Associate Professor of Medical Science and Health Services, Policy and Practice at Brown University. She serves as Interim Director of the Brown Center for Biomedical Informatics (BCBI) and leads the Clinical Informatics Innovation and Implementation (CI3) Lab, focusing on improving mental health (mental health informatics) and child health (pediatric informatics) via EHR, data mining, and machine learning. Her work spans clinical decision support, standards interoperability, and NLP for biomedical discovery. Education: PhD in Biomedical Informatics, Columbia University BS in Computer Science, Tufts University Research Interests: Dr. Chen’s research integrates electronic health data with health IT to advance healthcare delivery and translational research. Key areas include EHR optimization, clinical documentation, NLP, machine learning, and health information standards. She mentors students across levels and contributes to Rhode Island’s BIBCE Core for data accessibility in clinical research. Article Trends: Dr. Chen’s 15 most recent publications emphasize NLP, machine learning, and EHR applications in mental health, pediatrics, and public health. Topics include suicide risk modeling, comorbidity analysis, clinical documentation standards, and interoperability frameworks. Scientific Awards: Fellow of the American College of Medical Informatics (FACMI) Mentoring & Governance: Dr. Chen co-instructs biomedical informatics courses, mentors junior faculty, and held leadership roles at NIH/NLM (BILDS Review Committee Chair) and journal editorial boards. Her lab focuses on inspiring future clinical informaticians. Labs & Collaborations: The CI3 Lab at BCBI drives EHR innovation, implementation, and education. Dr. Chen collaborates with Rhode Island’s BIBCE Core, the Scholarly Concentration in Biomedical Informatics, and interdisciplinary teams in mental health and pediatric informatics.