Satya Prakash Saraswat is a Postdoctoral Researcher at KTH Royal Institute of Technology's Nuclear Science and Engineering Unit in Stockholm, Sweden. He holds a Ph.D. from the Indian Institute of Technology Kanpur, with expertise in thermal-hydraulics, nuclear reactor safety, computational fluid dynamics (CFD), and system code development. His work spans fission and fusion reactor analysis, including contributions to the VALIDATIO project (University of Pisa) for fusion safety tools and the ATLAS project (Khalifa University) for advanced reactor safety enhancements. Research interests focus on computational modeling, AI integration in nuclear safety, and experimental validation of safety systems. He has developed skills in both experimental and numerical techniques, addressing challenges in multiphase flow, reactor core dynamics, and material compatibility. Key projects include validation of ASYST and SIMMER codes for condensation phenomena and lead-lithium interaction studies. Publications highlight advancements in burn-up wave characterization, code stability analysis (RELAP5/SIMMER), and thermal-hydraulic safety assessments for reactors like ESBWR and ITER systems. His work emphasizes enhancing safety tools through rigorous validation and innovative methodologies.
Dr. David Laverty is a Reader at Queen’s University Belfast in the School of Electronics, Electrical Engineering and Computer Science. His research focuses on Smart Grids, Cyber Security of Critical Infrastructure, and Power System Instrumentation. He is the founder of the OpenPMU project, an open-source Phasor Measurement Unit, and has contributed to advancements in precision time transfer and software-defined networking in power systems. Dr. Laverty has secured over £3M in research funding and holds an h-index of 22 with over 100 publications. He actively supervises PhD students in areas such as smart grid telecommunications, distributed energy resources, and secure information systems. His work aligns with UN Sustainable Development Goals, particularly in clean energy and infrastructure. Awards include the 2017 Premium Award for Best Paper in IET Generation, Transmission & Distribution and the 2022 BEST PAPER AWARD. His research projects, such as the Fusion/Electricity Exchange DAC, address challenges in smart grid infrastructure and cyber-physical systems. Dr. Laverty also engages in public outreach through initiatives like the Electric DeLorean project.
Rhonda Hackworth is an Associate Professor of Music Education in the Department of Music at the University of Mississippi, within the College of Liberal Arts. She serves as Head of Music Education and Graduate Program Coordinator, overseeing graduate studies and directing thesis and dissertation research. Her academic work bridges teaching, research, and performance, with a strong focus on the health and pedagogical development of music educators. Research Interests: Dr. Hackworth specializes in vocal health for music teachers and students, examining how teaching practices affect vocal well-being. She also investigates music perception, particularly how textual and musical elements interact to shape emotional responses. Her research contributes to both pedagogical strategies and occupational health in music education. She has published in leading journals such as Journal of Research in Music Education , International Journal of Music Education , and Journal of Music Teacher Education . Her publications reflect a consistent focus on vocal health, teacher training, and music cognition. Themes across her work include the impact of teaching experience on vocal strain, vocal hygiene awareness among educators, and the perceptual effects of music-text interactions. She actively presents her findings at international, national, and state-level conferences across the U.S. and abroad, including in Greece, China, and Italy. Scientific Awards: No specific awards mentioned in the text. Dr. Hackworth advises graduate students in music education, supervising theses and dissertations. She teaches foundational and advanced graduate courses such as Foundations of Music Education (MUS 619) , Research in Music Education (MUS 620) , and Intelligent Music Teaching (MUS 622) . While no grants are explicitly mentioned, her sustained research output and conference presence suggest active scholarly engagement. Her educational leadership extends beyond the classroom into program coordination and curriculum development. Dr. Hackworth is affiliated with the Department of Music at the Oxford campus of the University of Mississippi. She is part of the Graduate Program in Music (M.M.) and contributes to the academic and artistic mission of the College of Liberal Arts. Though no formal lab or research center is named, her work likely involves collaborative research teams and student-led projects in music education and vocal health.
Adrian Francalanza is a Professor in the Department of Computer Science at the Faculty of Information and Communication Technology, University of Malta. His research is centered on formal methods, runtime verification, and concurrency, with a focus on monitorability and distributed systems. His research interests include: Runtime Verification and Monitor Synthesis Session Types and Protocol Safety Concurrency and Actor-Based Systems Branching and Linear-Time Temporal Logics Probabilistic and Decentralized Monitoring Formal Tools for Cyber-Physical and Distributed Systems The recent publications highlight a strong trend in theoretical and practical advances in monitorability, especially for branching-time and probabilistic systems. His work bridges theory with implementation, often resulting in tools like STMonitor and DetectEr. There is a clear emphasis on session types, runtime enforcement, and the verification of communication protocols in real-world systems such as REST APIs and SMTP. Scientific awards include: Distinguished Paper Award at ECOOP 2025 Best Paper Award at DisCoTec 2022 He has been actively involved in advising and organizing major academic events. He served as Program Chair for GandALF 2024 and 2025, FORTE 2024, and VORTEX workshops. He led a three-year project funded by Rannis on Theoretical Foundations for Monitorability in collaboration with Reykjavik University. He has received grants and recognition for developing practical tools such as DetectEr and STMonitor, which support runtime monitoring of Erlang and session-typed systems. He is associated with several research teams and labs, including: Runtime Verification and Monitorability Research Group at University of Malta Collaborators on the DetectEr project Developers of STMonitor and polyLarva tools International collaborators at Reykjavik University and beyond
Prof. Georg Jäggle is a Professor of Vocational Education at the University College of Teacher Education Vienna (PH Wien), specializing in educational robotics, STEM pedagogy, and sustainability education. He leads the Department of Vocational Education within the Institute for Secondary Level Vocational Education (I:SBB). His work integrates technology-enhanced learning environments, focusing on project-based methodologies to bridge gaps between education and industry needs. Key projects include the Recycling Heroes initiative (2022–2024), which employs citizen science to promote circular economy awareness, and the EU-funded ER4STEM project (2017–2018), fostering STEM engagement through robotics. Prof. Jäggle holds a Dipl.-Ing. (FH) and a Dr. in engineering education, with prior industry experience as an engineer and vocational school teacher. His research emphasizes digital competence development, intergenerational learning, and inclusive education strategies. He has coordinated interdisciplinary teams across 10+ EU and national projects, including RoboCoop (2018–2022) and Makers@school (2017–2019), which implemented robotics and maker culture in schools. His teaching spans applied mathematics, engineering, and automation technology at both academic and vocational levels. Research interests include technology integration in vocational training, lifelong learning frameworks, and the impact of educational robotics on student motivation. Recent publications (2022–2024) explore STEM career self-efficacy, sustainability curriculum innovation, and cross-generational robotics collaboration. He currently serves in the Center for Research Management (Zentrum Forschungsmanagement) at PH Wien, advancing applied research in MINT (STEM) education and educational technology.
Dr. Edward S. Bach is a Professor of Trumpet and Music Performance at Brandon University, Canada. He holds a B.Mus from Brandon University and both M.Mus and DMA degrees from the University of British Columbia. His primary roles include conducting the Brandon University Brass Ensemble and Trumpet Ensemble, as well as teaching trumpet performance and pedagogy. Conducts university wind ensembles and guest-conducts high school bands Oversees the trumpet studio's performance and academic programs Runs the Master of Music in Performance and Literature for Trumpet program Research focuses on expanding brass quintet and large ensemble literature through transcriptions of classical works. Notable projects include arrangements of Schumann, Mendelssohn, and Tchaikovsky for brass ensembles. His performance career spans over 30 countries with groups like Market Street Brass and A Touch of Brass, featuring both classical and jazz repertoires. Has adjudicated major competitions including The Canadian National Music Festival and The National Trumpet Competition. Published extensively with C. Alan Publications, producing influential brass ensemble works. Active in masterclass instruction globally, including at the Moscow Conservatory and Liszt Institute in Budapest.
Haohua Tu is a Research Assistant Professor at the University of Illinois, affiliated with the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on biomedical imaging and lasers/optical physics, particularly advancing multiphoton microscopy and nonlinear optical technologies for medical diagnostics and biomarker discovery. He develops innovative imaging systems like SCIFI (Supercontinuum Intrinsic Fluorescence Imaging) and SLAM (Simultaneous Label-Free Autofluorescence Multiharmonic) microscopy, aiming to commercialize label-free imaging solutions. Dr. Tu's work integrates optical engineering with biomedical applications, including real-time histopathology, cancer microenvironment analysis, and photodamage monitoring. His contributions span supercontinuum generation in fiber optics, computational photon counting techniques, and deep learning-based image correction. His research bridges fundamental photonics with clinical needs, addressing challenges in early cancer detection, treatment response assessment, and intraoperative diagnostics. Key technical areas include femtosecond laser systems, adaptive optics, and multimodal imaging approaches. His studies often involve collaborations in biomedicine and oncology, targeting applications such as breast cancer prognosis, pancreatic tumor monitoring, and urinary extracellular vesicle detection. While no specific grants or awards are mentioned, his prolific publication record reflects sustained innovation in optical imaging technologies.
Dr. Shideh Kabiri Ameri serves as Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, where she joined in September 2018 after completing postdoctoral research at the University of Texas at Austin. Her interdisciplinary expertise bridges nanomaterials engineering and biomedical applications, with particular focus on developing imperceptible wearable sensors for continuous health monitoring. Her educational foundation includes: PhD in Electrical Engineering (2015) from Tufts University Master's and Bachelor's degrees in Physics (solid state) AS degree in Medical Laboratory Sciences Dr. Ameri's research program centers on 2D material-based electronic devices for wearable bioelectronics, human-machine interfaces (HMI), and mobile healthcare systems . Her lab pioneered graphene electronic tattoos (GETs) that achieve unprecedented skin conformity while recording high-fidelity physiological signals. Current work emphasizes ultrasoft hydrogel-based sensors that eliminate motion artifacts and enable months-long wear without skin irritation, representing a paradigm shift from conventional rigid medical devices toward truly imperceptible health monitors. Analysis of her 40+ publications reveals a strategic evolution from fundamental nanomaterial characterization toward clinically viable systems. Recent work (2021-2025) demonstrates increasing sophistication in multimodal sensing (simultaneous ECG/EEG/temperature), reusable sensor architectures , and wireless power integration . The trajectory shows clear progression from lab prototypes to FDA-pipeline devices, particularly in cardiac and neurological monitoring applications. Her scientific recognition includes: Rising Star in EECE 2017 award Dr. Ameri leads the Ameri Nano Research Group which operates advanced nanofabrication facilities for developing next-generation bioelectronic interfaces. Her research has attracted significant media attention from BBC, IEEE Spectrum, and Phys.Org, highlighting real-world impact in remote patient monitoring. The group actively collaborates with medical institutions to translate innovations into point-of-care diagnostics, with current projects focusing on in-ear physiological monitors and strain-neutralized neural recording systems. The research team maintains strong industry partnerships for commercializing soft bioelectronics, with particular emphasis on creating accessible health monitoring solutions for underserved communities through low-cost manufacturing approaches.
Paul McKenna is a Professor in the Department of Physics, Faculty of Science, at the University of Strathclyde, where he currently serves as Deputy Associate Principal (Research & Knowledge Exchange). He previously held leadership roles as Vice Dean (Research) in the Faculty of Science (2021–2023) and Head of the Department of Physics (2018–2021). His work is central to advancing ultra-intense laser-plasma science and its applications. His research focuses on ultra-intense laser-plasma interactions , particularly the development of laser-driven particle and radiation sources , plasma optics and photonics , and high field science . His work bridges fundamental physics with practical applications in medicine, materials science, and fusion energy. He is actively involved in major international laser facilities, serving on advisory boards such as the Program Advisory Committee for the Extreme Light Infrastructure-Nuclear Physics (ELI-NP) and previously at the Central Laser Facility, Harwell. Recent publications highlight a strong trend in laser-driven proton acceleration , beam diagnostics using machine learning , plasma-based collimation , and structured light generation . His work increasingly integrates computational methods, such as Bayesian optimization and neural networks, to enhance experimental outcomes in high-energy-density physics. Fellow of the Royal Society of Edinburgh (2020) High Power Laser Science and Engineering Outstanding Contribution Award (2023) McKenna has secured significant research funding, notably from EPSRC, and leads multiple active projects including those on relativistic plasma apertures and Bayesian optimization in fusion simulations. He contributes extensively to researcher development and postgraduate research strategy. He has supervised numerous early-career researchers and PhD students, though specific names are not listed in the provided data. He is also involved in interdisciplinary efforts to foster collaborative research cultures in technological universities. He leads or participates in advanced research facilities such as the SCAPA (Scottish Centre for the Application of Plasma-based Accelerators) and contributes to the development of high-repetition-rate laser systems. His lab’s work is highly collaborative, involving partnerships across the UK and internationally, with strong ties to institutions like Queens University Belfast and national laboratories.
Brian J. Jaques is an Assistant Professor in the Micron School of Materials Science and Engineering at Boise State University, where he joined in 2009. He also serves as the director of the Boise State Advanced Materials Laboratory (AML) and holds a joint appointment with the Idaho National Laboratory (INL). His extensive institutional affiliations include being the Nuclear Energy Focus lead at the Center for Advanced Energy Studies (CAES) in Idaho Falls and serving as the Boise State program director for the Advanced Sensors and Instrumentation (ASI) with the INL. Boise State University - Micron School of Materials Science and Engineering Idaho National Laboratory (Joint Appointment) Center for Advanced Energy Studies (CAES) - Nuclear Energy Focus Lead (2019-2022) Boise State Advanced Materials Laboratory (Director) Dr. Jaques' research focuses on materials for extreme environments, energy materials, and nuclear enabling technologies. His primary interests include nuclear fuel synthesis, sensor design for nuclear applications, sintering processes, corrosion science, gas-solid reaction kinetics, mechanochemistry, particle science/powder synthesis, and mechanical behavior of materials. His work often intersects with additive manufacturing techniques for nuclear applications and advanced sensor development for in-pile (reactor core) environments. His research output shows a clear trend toward developing materials and sensors for nuclear applications, with increasing emphasis on additive manufacturing techniques since 2018. His recent publications demonstrate expertise in uranium dioxide and carbide fuels, zirconium-based materials for nuclear thermal propulsion, boron nitride coatings, and advanced strain sensing technologies for extreme environments. Dr. Jaques has received numerous scientific awards including: NSF S-STEM Scholar (2004) Advanced Fuel Cycle Initiative/Generation IV Fellow (2006) Outstanding Mechanical Engineering Student Award (2006) Professional Engineer license in Metallurgy and Materials Science (2011) Materials Science and Engineering Scholar Award (2015) He has been actively involved in significant research funding, serving as Co-PI on multiple Nuclear Energy University Program grants and National Science Foundation projects. His current work includes international collaborations to advance high uranium density fuels for Small Modular Reactors and developing additively manufactured sensors for nuclear applications. Dr. Jaques also contributes to educational initiatives including the REU Site on Advanced Manufacturing for a Sustainable Energy Future. His laboratory work centers around the Boise State Advanced Materials Laboratory (AML) and collaborations with the Idaho National Laboratory, focusing on developing novel sensors for in-pile applications that provide real-time, accurate, and spatially resolved information regarding test conditions and the performance of fuels and materials during irradiation.
James Clause is an Associate Professor and Graduate Program Chair in the Department of Computer and Information Sciences at the University of Delaware. His research focuses on advancing software engineering practices through innovative work in testing, program analysis, and energy-efficient software development. His educational background includes: PhD in Computer Science from Georgia Institute of Technology (2011) MS in Computer Science from University of Pittsburgh (2005) BS in Computer Science from Allegheny College (2003) Clause specializes in improving software quality and developer productivity. His research investigates dynamic analysis techniques for bug detection, memory leak identification, and security vulnerability analysis. He pioneers energy-aware software engineering, developing methods to optimize application energy consumption and test suite efficiency. His work on privacy-preserving field data usage enables safer handling of sensitive user information while maintaining software quality. Current projects focus on energy-efficient application development, durable test creation, and privacy-conscious software improvement. His publication trajectory reveals a clear evolution from foundational security and memory analysis toward energy-conscious software engineering. Early work established critical dynamic taint analysis frameworks (e.g., Dytan), while recent research addresses energy consumption in web applications and test optimization. This shift demonstrates growing industry relevance of sustainable computing practices within software engineering. His scientific contributions are recognized through prestigious awards: ISSTA 2017 Impact Paper Award for seminal work on dynamic taint analysis ICSME 2016 Distinguished Reviewer Award for exceptional peer review contributions Clause actively mentors graduate students including Tedis Agoli, Emily Evans, Daniel Gaston, and Benwen Zhang. His research is supported by grants focused on energy-efficient development, high-quality testing methodologies, and privacy-preserving data usage. He serves the academic community through program committee roles for ICST 2018 and ICSE 2018, demonstrating leadership in software testing and engineering conferences. His research group operates within the University of Delaware's Department of Computer and Information Sciences, contributing to the institution's reputation in software engineering innovation through continuous exploration of energy-aware development and advanced debugging techniques.
Cécile Hébert is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with multiple departments including the Laboratory of Electron Spectrometry and Microscopy (LSME) , SB-SPH-ENS , EDMX-ENS , and IMX-GE . She leads the Center for Electron Microscopy and contributes to projects like CHIRALTEM . Born in France (1970), she earned her PhD in Physics from École Centrale Paris . Postdoctoral work at Vienna University of Technology . Her research focuses on Electron Microscopy , particularly Electron Energy Loss Spectroscopy (EELS) , Magnetic Circular Dichroism (EMCD) , and 3D imaging . She develops computational tools like JEMS and advances Life Sciences applications in electron microscopy. Recent publications emphasize nanoscale magnetic characterization , low-loss EELS , and STEM-Chathodoluminescence . Her work spans materials science , physics , and computational methods . She mentors PhD students and teaches courses in Mechanics , Thermodynamics , and Electron-Matter Interactions . She is also a member of the Section Directors' Conference (CDS) and directs SB-SPH-GE .
Dr. Kevin A. Adkins is a Professor in the College of Aviation at Embry-Riddle Aeronautical University , where he teaches aerodynamics, aircraft performance, and uncrewed aircraft systems (UAS) courses. He pioneered the first collegiate Advanced Air Mobility (AAM) course in the U.S. in 2023 and directs two labs: the Advanced Air Mobility Research and Innovation Lab (AAMRIL) and the Uncrewed Vehicle and Atmospheric Investigation Lab (UNVAIL) . Education : Ph.D. in Aerospace Engineering (Mississippi State University), M.Eng. and B.S. in Aerospace Engineering (University of Michigan-Ann Arbor) His research focuses on atmospheric boundary layer meteorology using UAS, AAM concepts of operation (ConOps), and flight test engineering. He collaborates extensively on sensor development for environmental monitoring, including low-cost particulate matter sensors and bioaerosol sampling mechanisms. Recent publications emphasize UAS applications in wildfire detection, urban microclimate analysis, and wind farm humidity studies. Dr. Adkins serves on advisory committees for the Florida Department of Transportation's AAM initiative and ASTM International's UAS standards. Awards : Fellow of the Royal Aeronautical Society, ERAU Researcher of the Year (2020), PIEoneer Real Life Learning Award (2019), AUVSI Best Paper Award (2019) He mentors numerous student projects on UAS sensor development and atmospheric research, with teams winning symposium awards. His labs integrate experiential learning with international fieldwork in Puerto Rico, Norway, and Lithuania.
Irene del Canto Serrano is a Researcher in the Department of Electronic Engineering at the School of Engineering, Universitat de València. Her work integrates biomedical engineering with cardiac electrophysiology, focusing on the interaction between mechanical forces and electrical activity in the heart. She is actively involved in two key research groups: GRELCA (Cardiac Electrophysiology group) and i2N (Electronic Instrumentation in Medical and Nuclear Physics), reflecting her dual expertise in physiology and instrumentation. Education: PhD in Biomedical Engineering, Universitat Politècnica de València (2015). Thesis: Estudio de las modificaciones farmacológicas de los efectos electrofisiológicos producidos por el estiramiento local miocárdico a partir de técnicas dinámicas de cartografía eléctrica, en un modelo experimental de corazón aislado de conejo , supervised by Dr. David Moratal Pérez and Dr. Francisco Javier Chorro Gascó. Her research interests center on cardiac electrophysiology , particularly mechanoelectric feedback , myocardial stretch , arrhythmia mechanisms , and pharmacological modulation using experimental models. She also explores cardiac imaging , especially cardiac MRI for strain and deformation analysis, and applies machine learning to improve detection and classification in myocardial infarction. Her recent publications highlight a strong trend toward integrating biomarkers (e.g., ferritin), iron therapy , and cardiac function recovery in heart failure, showing translational relevance. Her 15 most recent publications reflect a consistent focus on experimental cardiology using isolated heart models, pharmacological interventions (ranolazine, GS967, eleclazine), and advanced imaging techniques. She investigates how drugs affect stretch-induced arrhythmias, evaluates MRI-based strain changes post-iron therapy, and develops AI tools for cardiac image analysis. These works span basic science (e.g., CaMKII inhibition) to clinical applications (e.g., Myocardial-IRON trial analysis). Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While no formal students or grants are listed, her role as a postdoctoral researcher and active publication record suggest involvement in mentoring junior researchers and contributing to funded projects, particularly within the GRELCA and i2N groups. She has co-authored numerous experimental studies, indicating strong collaborative and project-based research activity. Labs and Teams: Irene is affiliated with two prominent research groups at Universitat de València: GRELCA (Cardiac Electrophysiology group) , which studies arrhythmia mechanisms and therapeutic interventions, and i2N (Electronic Instrumentation in Medical and Nuclear Physics) , which develops advanced tools for medical diagnostics. These affiliations underscore her interdisciplinary approach, combining physiology, engineering, and data science.
EUNKYENG BAEK is an Associate Professor in the Department of Educational Psychology at Texas A&M University. She specializes in multilevel modeling (MLM) for analyzing educational and psychological data, with a focus on longitudinal and time-series data such as single-case experimental design (SCED) data. Her research bridges methodological advancements and applied studies, addressing gaps in data analysis techniques for SCED and educational datasets. **Education**: Ph.D., Educational Research, Measurement and Statistics, University of South Florida (2015) M.A., Psychometrics, Korea University (2006) B.A., Psychology, Sungshin Women University (2003) **Research Interests**: Dr. Baek’s work centers on Bayesian analysis, meta-analysis of single-case studies, and the integration of machine learning techniques in educational contexts. She explores statistical methods to handle autocorrelation, heterogeneity, and variance in SCED datasets, contributing to robust methodologies for synthesizing research findings. **Grants & Leadership**: She has led or co-led multiple grants, including projects on developing effect size toolkits for SCED meta-analyses and studying online learning readiness. She serves as an Action Editor for Behavior Research Methods and holds leadership roles in academic organizations like EREL. **Teaching**: She teaches courses in educational measurement, statistical analysis, and SCED data techniques, such as EPSY622 and EPSY661.
