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Shweta ShindeView profile

Assistant Professor

• Trusted Computing
• System Security
• Hardware Security
• +4 more

Shweta Shinde is an Assistant Professor in the Department of Computer Science at ETH Zurich where she leads the Secure & Trustworthy Systems (SECTRS) research group. She is also a member of the Institute of Information Security and the ZISC Center at ETH Zurich. Her work bridges theoretical foundations with practical implementations in hardware and system security. Dr. Shinde's research focuses on the intersection of trusted computing, system security, and program analysis. Her group investigates both foundational aspects of security to protect phones, servers, and accelerators, as well as practical aspects of realizing these solutions through large-scale system building. Her work spans hardware security primitives, trusted execution environments, confidential computing, and secure system design across multiple platforms including mobile devices, cloud infrastructure, and blockchain systems. Her publication record demonstrates significant impact in the field, with numerous papers in top security venues including IEEE S&P, USENIX Security, CCS, and NDSS. Her research has uncovered critical vulnerabilities in major hardware security technologies like Intel SGX and AMD SEV-SNP while also proposing novel frameworks for building more secure systems. The work spans multiple domains including hardware security, cloud security, mobile security, and blockchain security, with a consistent thread of identifying and addressing fundamental security challenges in trusted computing. Among her notable achievements are multiple best paper awards including at SysTEX 2025 and nominations at DATE 2025, a Distinguished Paper Award at IEEE S&P 2024, and recognition as a Most Innovative Research Pwnie Award Nominee in 2024. Her work on WeSee received particular attention for breaking AMD SEV-SNP through novel interrupt-based attacks. Dr. Shinde actively mentors PhD students including Mark Kuhne, Supraja Sridhara, Mélisande Zonta-Roudes, Benedict Schlüter, Andrin Bertschi, and others. She teaches courses on Systems Security, Information Security Lab, Seminar on Systems Security, and Current Topics in Information Security at ETH Zurich. Her service to the community includes extensive program committee work for major security conferences including Oakland (S&P), NDSS, USENIX Security, and CCS, where she has served as track co-chair and program co-chair for several workshops.

Zhuoyue ZhaoView profile

Assistant Professor

• Database systems
• Security
• Query processing
• +6 more

Zhuoyue Zhao is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, School of Engineering and Applied Sciences. His office is located at 338I Davis Hall, Buffalo, NY 14260, and he can be reached at zzhao35@buffalo.edu or by phone at (716) 645-4735. Dr. Zhao received his PhD in Computer Science from the University of Utah in 2021, where he was advised by Prof. Feifei Li and Prof. Jeff Phillips. Prior to that, he earned his BS in Computer Science from Shanghai Jiao Tong University in 2016, where he was part of the prestigious ACM Class. During his undergraduate studies, he conducted research under Prof. Kenny Zhu and spent Fall 2015 as a research assistant at Hong Kong Polytechnic University supervised by Prof. Eric Lo. Dr. Zhao's research focuses on database management systems, with specific emphasis on traditional and approximate query processing, query optimization, database systems on modern hardware, transaction processing, indexing, and storage. His work bridges theoretical foundations with practical implementations, often resulting in systems that address real-world database challenges. He has made significant contributions to probabilistic query processing, transaction scheduling, and learned indexing techniques. His recent publications demonstrate a clear trajectory toward optimizing database performance in hybrid transactional/analytical processing environments. His research increasingly integrates systems techniques with machine learning approaches, particularly in the area of learned indexes. There's also a strong focus on making database operations more efficient through innovative scheduling mechanisms and query processing techniques that can handle concurrent updates. Google PhD Fellowship (2019-2021) Best Paper Award at SIGMOD 2016 for "Wander Join: Online Aggregation via Random Walks" Best Paper Award at SIGMOD 2025 for "Low-Latency Transaction Scheduling via Userspace Interrupts" Dr. Zhao currently advises several PhD students including Yunnan Yu, Congying Wang, Gaoxiang Liu (co-advised with Prof. Ziming Zhao), and Zhuoran Li. He has successfully guided MS student Nithin Sastry Tellapuri to graduation (Fall 2023), who is now employed at AirPay. His research is supported by significant funding including an NSF CAREER award (#2339596) totaling $599,977 for research on "Speedy and Reliable Approximate Queries in Hybrid Transactional/Analytical Systems" (2024-2029) and an unrestricted Google gift of $30,000 (2021). Dr. Zhao leads the ADBLab research group at UB, where students work on cutting-edge database systems research. His lab focuses on building practical database systems that address real-world challenges in query processing, transaction management, and indexing. The lab maintains strong connections with industry partners and regularly contributes to open-source database projects.

John P. O'DohertyView profile

Professor

• Decision Neuroscience
• Reward-related Learning
• Computational Modeling
• +3 more

John P. O'Doherty serves as the Fletcher Jones Professor of Decision Neuroscience within Caltech's Division of Humanities and Social Sciences, holding continuous faculty appointments since 2004 (Assistant Professor 2004-07, Associate Professor 2007-09, Professor 2009-present, Fletcher Jones Professor 2021-present). He previously directed the Caltech Brain Imaging Center (2013-17) and maintains affiliations with the T&C Chen Center for Social and Decision Neuroscience. His educational background includes a B.A. from University of Dublin, Trinity College (1996) and D.Phil. from University of Oxford (2000). His research focuses on computational and neural mechanisms of reward-based learning and decision-making , employing fMRI, intracranial recordings, and mathematical modeling to investigate how the brain solves complex decision problems through evolutionarily conserved algorithms. Key areas include Reinforcement learning systems (model-based/model-free arbitration) Observational and social learning mechanisms Neural representation of value, risk, and uncertainty Computational phenotyping of mental disorders Temporal dynamics of goal persistence Analysis of his 2023-2025 publications reveals dominant trends in computational psychiatry (problem gambling, autism traits), hierarchical decision-making, and neuroeconomic modeling of social behavior. His work consistently integrates cross-species computational frameworks with human neuroimaging to identify transdiagnostic mechanisms. While specific awards beyond his endowed professorship aren't detailed, his leadership as Brain Imaging Center Director and prolific high-impact publications demonstrate significant recognition. Current advising includes graduate researcher Sneha Aenugu on goal-persistence projects, with administrative support from Mary A. Martin (mmartin@caltech.edu). His active research program continues to pioneer computational approaches to understanding decision pathologies.

Ashli Owen-SmithView profile

Researcher

• Mental Health
• Behavioral Science
• Trauma
• +6 more

Ashli Owen-Smith is a behavioral scientist affiliated with the School of Public Health at Georgia State University , where her research focuses on mental health disparities, suicide prevention, and integrative/complementary approaches for complex mental-physical health conditions. She works with underserved populations including refugees/immigrants, incarcerated individuals, and LGBTQ+ communities through community-based participatory research and mixed-methods frameworks. Her current projects are funded by CDC , DBHDD , and DPH . Education: Ph.D. in Behavioral Sciences (Emory, 2009), S.M. in Public Health (Harvard, 2005), B.A. in Psychology (Smith College, 2001) Her research spans mental health , trauma , suicide prevention , and mindfulness-based interventions . Recent work examines telehealth adaptations for chronic pain and mental health, vaccine hesitancy in refugee communities, and social determinants of suicide . She leads studies on gender-affirming care and health disparities in LGBTQ+ populations. Key article trends include epidemiological analysis of suicide risk factors, COVID-19 impacts on mental health, ICD-10 coding for autism, and complementary medicine in trauma recovery. Subfields span telehealth , health equity , mental-physical comorbidity , and community engagement . Students she has mentored include C.A. Scarlett , T. Griner , and M.M. Sesay . Her work integrates public health policy , clinical research , and health systems analysis .

• Nineteenth-Century British Literature and Culture
• Periodical Studies
• Media History
• +12 more

Professor Fionnuala Dillane is a leading scholar in nineteenth-century British literature and culture, periodical studies, memory studies, and gender, based at the School of English, Drama and Film, University College Dublin. She holds the academic rank of Professor and is actively engaged in research, teaching, and academic leadership. She currently serves as Academic Director of the UCD Writing Centre and Chair of the UCD Press Editorial Board, and previously served as Associate Dean for Arts and Humanities (2017–2020). Her collaborative research spans institutions including Ghent University, Newcastle University, and the University of Iceland. Her research interests include: Nineteenth-century British literature and culture Periodical studies and media history George Eliot and Marian Evans Memory studies and trauma Gender and sexualities Contemporary crime fiction Her recent publications explore affect in periodical encounters, editorial identities, transnational periodical research, and the literary afterlives of George Eliot. The trends in her work reveal a sustained engagement with print culture, narrative form, emotional communities, and the politics of memory. She is currently editing the Handbook of Transnational Periodical Research (Brill, 2026). Her scientific awards include: University Award for Outstanding Contribution to Student Learning, UCD (2017) Shortlisted for European Award in Teaching Excellence (2017) College of Arts and Humanities Outstanding Contribution to Student Learning (2017) Dillane has secured significant research grants, including from the Irish Research Council for her project on George Eliot and the Periodical Press, 1846–60 , and on The Future of Data Humanities . She has supervised doctoral students such as David Mitchell and mentors emerging scholars in periodical studies and trauma fiction. She has pioneered innovative teaching initiatives, including the first internship programmes for UCD Arts and Humanities undergraduates and the development of the UCD Writing Centre, now permanently funded. She is also deeply involved in national and international advocacy for the humanities, serving on editorial and advisory boards such as the Journal of Victorian Culture , the Memory Studies Association, and the European Society for Periodical Research.

Jaline L GerardinView profile

Associate Professor

• Epidemiology
• Malaria
• Infectious Diseases
• +7 more

Jaline L Gerardin is an Associate Professor in Preventive Medicine (Epidemiology) and McCormick School of Engineering at Northwestern University. She is affiliated with the Center for Global Health, Institute for Public Health and Medicine (IPHAM), Northwestern Institute on Complex Systems, and Robert J. Havey, MD Institute for Global Health. Her career focuses on malaria modeling and public health interventions. Current affiliations: Northwestern University, IPHAM, NICO, Center for Global Health Prior role: Malaria lead at Institute for Disease Modeling Research Focus: Gerardin specializes in malaria transmission modeling and public health intervention optimization . Her work addresses subnational tailoring of malaria strategies, intervention mix analysis for elimination, and ethical modeling practices. She integrates multidisciplinary data (entomology, immunology, demography) into agent-based models to guide policy in resource-limited settings. Article Trends: Recent publications emphasize subnational malaria intervention prioritization (Guinea, Nigeria), diagnostic performance evaluation, human mobility impacts on transmission, and wastewater surveillance applications for disease modeling. Leadership Roles: Co-chair: American Society of Tropical Medicine and Hygiene symposia Member: WHO working groups, Malaria Modeling Consortium Advisor: WHO Malaria Multi-Model Comparison initiatives Education: PhD from University of California, San Francisco (2013)

• HVDC systems
• Power system protection
• Converter modelling
• +3 more

Sahar Pirooz Azad is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds a PEng designation and specializes in power systems engineering, particularly in HVDC systems and grid stability. Previously, she served as an Assistant Professor at the University of Alberta (2015–2017) and conducted postdoctoral research at the University of Toronto’s CAPE Centre and KU Leuven in Belgium. Her research focuses on enhancing power grid stability through advanced control schemes for HVDC grids, converter modeling, and fault protection mechanisms. Dr. Azad’s work addresses challenges in multi-terminal HVDC systems, offshore wind grid integration, and multi-vendor system compatibility. She has taught courses like Power System Protection and Relaying (ECE 765) and Electromechanical Energy Conversion (ECE 260), reflecting her expertise in both theoretical and applied electrical engineering. Her recent publications emphasize innovative protection schemes for HVDC grids, fault detection algorithms using signal processing (e.g., Hilbert-Huang Transform), and robust controller designs for multi-vendor VSC systems. These contributions aim to improve grid reliability, fault resilience, and renewable energy integration efficiency. Dr. Azad is actively recruiting graduate students and holds Sole-Supervisory Privilege Status (SSPS) at Waterloo. Her research has been supported by European Commission-funded projects like MEDOW and leverages interdisciplinary approaches to tackle modern grid challenges.

Ahmad AfsahiView profile

Professor

• Parallel Processing
• High-Performance Computing
• Network-Based Computing
• +5 more

Dr. Ahmad Afsahi is a Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada. He leads the Parallel Processing Research Laboratory (PPRL) and chairs the Graduate Studies committee in ECE. His research focuses on parallel processing, high-performance computing (HPC), and network-based systems, with emphasis on communication runtime systems, accelerated computing, and deep learning infrastructure. Education: Ph.D. (Electrical Engineering, 2000) from University of Victoria; M.Sc. (Computer Engineering, Sharif University of Technology); B.Sc. (Computer Engineering, Shiraz University). Research interests include parallel programming models, MPI optimization, GPU-aware communication, network-aware algorithms, and power-efficient HPC systems. He is a Senior Member of IEEE, ACM member, and licensed Professional Engineer in Ontario. Key Awards: Canada Foundation for Innovation Award, Ontario Innovation Trust Award. Over 50 publications in top venues like SC, EuroMPI, IPDPS, and IEEE journals. Current teaching includes cluster computing and digital systems. Labs/Groups: PPRL, Queen's Collaborative Graduate Specialization in Computational Science and Engineering, Data, Analytics, and Computing (DAC) Research Group.

Chien-Ming HuangView profile

Assistant Professor

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

Dr. Chien-Ming Huang is the John C. Malone Assistant Professor in the Department of Computer Science at Johns Hopkins University. He leads the Intuitive Computing Laboratory and is affiliated with the Malone Center for Engineering in Healthcare, Laboratory for Computational Sensing and Robotics, Institute for Assured Autonomy, and Data Science and AI Institute. His research focuses on human-robot interaction, human-computer interaction, and artificial intelligence applications in healthcare and education. BS in Computer Science, National Chiao Tung University (2006) MS in Computer Science, Georgia Institute of Technology (2010) PhD in Computer Science, University of Wisconsin–Madison (2015) Postdoctoral Research, Yale University (2015-2017) Dr. Huang's work bridges human-robot interaction, robotics, and AI to develop technologies that enhance social, physical, and behavioral support for diverse populations. His research includes adaptive robot systems for autism intervention, aging care technologies, and explainable AI frameworks for medical decision support. Current projects focus on end-user robot programming, socially aware navigation, and conversational agents for health management. His publications span major venues like Science Robotics , HRI, CHI, and ICRA, with recent emphasis on robot error awareness, small talk in collaboration, and AI explanation design for healthcare. Dr. Huang has received numerous accolades including the NSF CAREER Award and John C. Malone Endowed Chair. 2022 NSF CAREER Award John C. Malone Endowed Chair 2013 RSS Best Paper Runner-Up 2012 Human-Robot Interaction Pioneer Dr. Huang mentors PhD, postdoctoral, and undergraduate researchers, emphasizing interdisciplinary collaboration and technical rigor. He serves as Associate Editor for ACM Transactions on Human-Robot Interaction and has organized key conferences including HRI and ICMI. His lab develops systems for robotic assistance in surgical training, home healthcare, and educational contexts.

• High Voltage Direct Current (HVDC) Transmission
• DC Transmission Grids
• High Power Electronics
• +4 more

Professor Dragan Jovcic is the Chair in Engineering at the University of Aberdeen's School of Engineering , where he has been a faculty member since 2004 and a full professor since 2012. Concurrently he serves as Director of the Aberdeen HVDC Research Centre , a role he has held since 2015. Education: PhD in Electrical Engineering, University of Auckland, 1999 Diploma Engineer in Control Systems, University of Belgrade, 1993 Postgraduate Certificate in University Teaching, University of Ulster, 2003 Research Interests: Professor Jovcic’s research centres on high-power electronics and HVDC transmission systems , with particular emphasis on the development of DC transmission grids that will enable large-scale integration of offshore wind energy . His work spans DC/DC converters , DC circuit breakers , modular multilevel converters (MMC) , flexible AC transmission systems (FACTS) , and advanced power system modelling and control . The overarching goal is to underpin the transition from fossil-fuel generation to renewable-dominated power systems, especially in the North Sea and European contexts. Publication Trends: Recent publications (2020-2023) reveal a strong focus on DC protection technologies —notably circuit breakers and energy absorbers—and on modelling methodologies for HVDC grids and offshore wind integration. The works address both theoretical advances (phasor and state-space models) and experimental validation (kV-level prototypes), reflecting a balanced portfolio of fundamental research and practical demonstration. Scientific Awards & Recognition: IEEE Fellow (2021) IEEE PES Distinguished Lecturer (since 2015) IET Fellow (2019) and Chartered Engineer (2018) Research Funding & Supervision: With over £5.5 million in external research income, Professor Jovcic is principal investigator or work-package leader on numerous EU Horizon Europe and EPSRC projects. He has supervised 9 PhDs to completion and is currently mentoring 2 PhD students and 2 post-doctoral fellows . Major grants include the €35 million PROMOTioN project on multiterminal DC networks and the €4 million MoWiLife project on wide-bandgap power electronics. Laboratory & Facilities: The Aberdeen HVDC Research Centre hosts a 0.9 kV DC grid demonstrator , 30 kW thyristor- and IGBT-based DC/DC converters , and 5 kV, 2 kA DC circuit breaker test benches , providing a world-class platform for experimental research and student training.

Leon ShpaninView profile

Senior Lecturer

• Electrical Engineering
• Plasma Science
• Current Interruption
• +2 more

Leon Shpanin is a Senior Lecturer in Electronic and Electrical Engineering at Sheffield Hallam University, where he serves as Course Leader for MSc Automation Control and Robotics. He holds an MSc in Radio Frequency Engineering and a PhD in Electrical Engineering from the University of Liverpool. His research focuses on electrical engineering applications including renewable energy systems, HVDC circuit interruptions, and electromagnetic techniques for current interruption. He received the RAEng Award (2020) for developing next-generation circuit breakers for rail networks. Key projects: Development of Novel Energy Efficient Magnetic Scroll Air Motor (EPSRC) Smart control of multirotor drone propellers for vibration energy harvesting

Özlem GürsesView profile

Professor

• Insurance Law
• Reinsurance Law
• Marine Insurance Law
• +7 more

Özlem Gürses is Professor of Commercial Law at The Dickson Poon School of Law, King's College London. She previously taught at Norwich and Southampton Law Schools and holds law degrees from the University of Istanbul, an LLM in Maritime Law (with distinction) from the University of Southampton, and a PhD in Law from the same institution. She is a leading scholar in insurance and reinsurance law, with a focus on marine, compulsory, and emerging risk insurance. Her research interests include: Insurance and reinsurance law Marine and non-marine insurance Compulsory motor vehicle insurance Insurance of offshore installations and commercial risks Artificial intelligence in insurance contracts Her recent publications analyze business interruption insurance during the pandemic, public-private partnerships in reinsurance, subrogation immunity, and the legal treatment of emerging risks. She is the sole author of key texts such as The Law of Compulsory Motor Vehicle Insurance (2019), Marine Insurance Law (3rd ed, 2023), and Reinsuring Clauses (2nd ed, 2025), and has edited major reference works including the Edward Elgar Research Handbook on Marine Insurance Law (2024). She is actively involved in the legal academic community: Member of the Presidential Council, International Insurance Law Association (AIDA) Chair, Reinsurance Working Party of AIDA Vice-Chair, British Insurance Law Association Committee Professor Gürses teaches insurance law at both undergraduate and postgraduate levels and currently supervises four PhD students. She also lectures internationally in Germany, Singapore, China, Greece, and Italy. She has organized academic conferences and participates in research on the intersection of law, technology, and sustainability.

• Sociology of Time
• Migration Studies
• Gender Studies
• +4 more

Elisabeth Schilling serves as Associate Professor of Social Sciences at the University of Applied Sciences for Police and Public Administration North Rhine-Westphalia (HSPV NRW), holding a W2 professorship since December 2009. She previously taught at the Cologne department until 2012 and now works at the Bielefeld location. Her academic appointments include habilitation in Sociology at the University of Erfurt (2022) and guest professorship at Georg-August-Universität Göttingen (2015). Schilling's institutional affiliations extend to the Max-Weber-Kolleg at the University of Erfurt and the Institute for Diversity Research at Göttingen. Her education includes a PhD in Sociology from Heinrich-Heine-University Düsseldorf (2005, magna cum laude), with dissertation titled "Die Zukunft der Zeit: Vergleich von Zeitvorstellungen in Russland und Deutschland im Zeichen der Globalisierung." Additional academic training includes specialized sociology studies at RWTH Aachen (2000-2001) and University of California at Davis (2000), where she achieved top 5% standing in her cohort. Schilling's research fundamentally examines how time structures shape social experience across multiple domains. Her work explores temporal dimensions of migration, particularly how Ukrainian refugees construct future perspectives amid trauma. She investigates gendered time inequalities in public administration careers, analyzing how interrupted career paths disproportionately affect women. Her scholarship reveals how bureaucratic systems administer time through scheduling practices that reinforce social inequalities. Schilling develops methodological approaches for studying temporal diversity through qualitative time practice assessments, bridging classical life course theory with biographical subjectivity. Her publication trajectory shows consistent focus on time, migration, and biography since 2005, with recent work increasingly addressing refugee experiences and temporal aspects of public administration. The articles reveal methodological sophistication in qualitative time research, with growing emphasis on practical applications for public sector management. Schilling's work demonstrates strong interdisciplinary connections between sociology, gender studies, and public administration. Her current research portfolio includes multiple funded projects examining time perspectives among Ukrainian refugees (2023-2024), integration of Ukrainian refugees (2022-2023), and time management during remote work periods (2020-2021). These projects reflect her ability to address timely social issues through her temporal lens while maintaining theoretical rigor. Schilling maintains active research collaborations including the Time Perspective Network around Philip Zimbardo and the Max-Weber-Kolleg. Her editorial work includes special issues of BIOS journal and edited volumes with Springer VS. She directs research groups focusing on time structures as inequality-reproducing classification systems, demonstrating sustained scholarly impact in her field.

Manju AhujaView profile

Professor

• Information Systems
• IT Workforce
• AI Ethics
• +3 more

Manju Ahuja is a Scientia Professor of Information Systems and Technology Management at the UNSW Business School, University of New South Wales, and holds the Frazier Family Professor of Information Systems at the College of Business, University of Louisville (on leave). Recognized globally as a top-tier researcher in Information Systems, she has held faculty roles at Indiana University, Florida State University, and Penn State University. Education & Affiliations: PhD-level training and research assistantships at University of Pittsburgh (1990–1994) Research assistantship at Pace University (1982–1984) Graduated with high honors from Indore University, India (1980) Research Focus: Professor Ahuja's scholarship centers on the intersection of information technology and human behavior, with particular emphasis on IT workforce dynamics, AI ethics, digital transformation, work-life balance, innovation, and entrepreneurship . Her work explores how emerging technologies reshape organizational practices, employee well-being, and societal norms. Editorial Leadership: She currently serves as Senior Editor for Information Systems Research , and previously held senior editorships at MIS Quarterly (2014–2017) and Journal of AIS (2017–2019). She has also served as Associate Editor for MIS Quarterly , Information Systems Research , and Management Science . Scientific Recognition: Fellow, Association of Information Systems (2021) Lifetime Achievement Award, Academy of Management OCIS Division (2020) Stanford University’s Top 2% Scientists List (2020) Presidential Distinguished Faculty Award, University of Louisville (2022) Enterprising Women Award, Louisville Business First (2023) Multiple Best Paper Awards and Faculty Research Awards Grants & Funding: Professor Ahuja has secured over $2 million in National Science Foundation funding across four major grants focused on IT workforce issues, highlighting her sustained impact on policy and practice. Teaching & Mentorship: She teaches courses in Research Methods, Information Systems Theory, and Behavioral IS , and actively mentors doctoral students and early-career researchers. While specific student names are not listed, her editorial roles and conference leadership indicate extensive supervision and collaboration. Global Engagement: Her visiting scholar appointments span premier institutions including HEC Paris, Bocconi University, National University of Singapore, UC Irvine, and University of Hawaii at Manoa, underscoring her role in shaping global IS research agendas.

• Renewable Energy Applications
• Hydrogen and Fuel Cells
• DC-Microgrids
• +3 more

Dr. Kosala Gunawardane is an Associate Professor in Renewable Energy Engineering at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. Previously, she held roles as Associate Professor and founding Director of the Centre of Future Power and Energy Research (CFPER) at Auckland University of Technology (AUT), New Zealand. She also served as Deputy Program Leader in the Blue Economy Corporate Research Centre in Australia. Her academic journey includes a PhD in Power Electronics (University of Waikato, 2014) and a BEng in Electronics and Telecommunications Engineering (University of Moratuwa, Sri Lanka, 2005). She is an IEEE Senior Member and former Vice Chair of the IEEE Women in Engineering NZ North Chapter. Dr. Gunawardane’s research focuses on renewable energy systems, hydrogen and fuel cells, DC microgrids, supercapacitor applications, and power electronics. She has secured significant funding from NZ government and Australian CRC grants as a primary investigator. Her work emphasizes sustainable energy solutions, including grid stability, energy storage optimization, and offshore renewable systems. Her research highlights include pioneering hybrid energy storage systems, advanced DC circuit breaker designs, and hydrogen integration in microgrids. She has published over 111 articles and edited sections on hydrogen energy conversion and management. Awards include a 2018 finalist position in the NZ Women of Influence (Science & Innovation category). Dr. Gunawardane leads funded projects such as the Blue Economy CRC’s offshore power systems and UTS’s energy transition initiatives. She actively contributes to IEEE conferences as an organizer and associate editor of the IEEE Transactions on Power Electronics. Her teaching spans circuit analysis, sustainable energy systems, and energy policy.