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Mengliang ZhangView profile

Associate Professor

• Forensic Chemistry
• Food and Agricultural Chemistry
• Metabolomics
• +12 more

Mengliang Zhang is an Associate Professor in the Department of Chemistry and Biochemistry at Ohio University, College of Arts and Sciences. He leads an interdisciplinary research group focused on mass spectrometry and chemometrics, with applications in forensic, food, agricultural, environmental, and material sciences. His lab develops innovative analytical strategies for detecting toxicants, characterizing nanomaterials, and profiling metabolites in botanicals and food systems. Ph.D., Chemistry, Ohio University, 2015 Dr. Zhang’s research integrates instrumentation, chemometrics, and computational tools to address complex analytical challenges. His group works on forensic fiber and ignitable liquid analysis, plant metabolomics, nanomaterial surface chemistry, and environmental toxicant monitoring. His work is highly interdisciplinary, bridging chemistry, data science, and real-world applications in forensics and public health. His recent publications demonstrate a strong trend in advancing ambient ionization mass spectrometry (especially DART-MS), chemometric modeling, and metabolite profiling across diverse matrices—from fire debris to broccoli microgreens. His work increasingly emphasizes automation, quantitation, and database development for botanical phytochemicals. Scientific honors include the MTSU Distinguished Research Award (Early Career), and his students have received prestigious awards such as the Goldwater Scholarship and multiple URECA recognitions. He is actively supported by federal grants from NSF, USDA, DOE, DOJ (NIJ), and FEMA. Dr. Zhang mentors a vibrant research team of graduate and undergraduate students, guiding them in publishing high-impact research and presenting at national conferences like ASMS, Pittcon, and AAFS. He has organized sessions at SciX and served on editorial boards of Journal of Forensic Sciences and Journal of AOAC INTERNATIONAL . His lab recently relocated to Ohio University in August 2024, equipped with advanced instrumentation including UHPLC-QTOF-MS and DART-MS systems.

Fei-Fei LiView profile

Professor

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +5 more

Fei-Fei Li is the Sequoia Capital Professor in Computer Science at Stanford University and Founding Co-Director of the Stanford Institute for Human-Centered AI (HAI). She holds courtesy appointments in the Graduate School of Business and is a Senior Fellow at HAI. Her work bridges AI research with interdisciplinary applications in healthcare, robotics, and policy. Dr. Li pioneered the ImageNet dataset, instrumental in the AI revolution, and co-founded World Labs to advance spatial intelligence and generative AI. Education: B.A. in Physics, Princeton University (1999) Ph.D. in Electrical Engineering, Caltech (2005) Doctorate (Honorary), Harvey Mudd College (2022) Research Interests: AI ethics, computer vision, robotic learning, healthcare applications, and human-AI collaboration. Her teams developed frameworks like MOMA for activity recognition and BEHAVIOR for embodied AI benchmarks. She advocates for diversity in tech and co-founded AI4All to mentor underrepresented students. Key Contributions: ImageNet and ImageNet Challenge Stanford Vision and Learning Lab (SVL) Policy advisory roles for U.S. Senate, UN Secretary-General, and California Governor Labs & Initiatives: Leads the People, AI & Robots Group (PAIR), Partnership in AI-Assisted Care (PAC), and the Human-Centered AI Institute. Her work emphasizes ethical AI deployment and societal impact. Awards: VinFuture Prize (2024), IEEE Fellow, National Academy memberships (Engineering, Medicine, Arts & Sciences), and recognition as one of Time’s AI100 Influencers.

Cathryn CarsonView profile

Professor

• History of 20th-century science
• Conceptual history of science
• Science and philosophy
• +5 more

Cathryn Carson is a Professor in the Department of History at the University of California, Berkeley. Her work bridges the philosophical, cultural, and political dimensions of 20th-century science, with a focus on theoretical physics, nuclear history, and the integration of social sciences and humanities into engineering education. Education: AB in History and Philosophy of Science from University of Chicago (1990) AM in Physics from Harvard University (1993) PhD in History of Science from Harvard University (1995) Her research explores the interplay between science and philosophy, particularly in Germany and the U.S., alongside the institutionalization of data science. She teaches graduate and undergraduate courses, including Berkeley’s Data Science major’s Human Contexts and Ethics of Data course. Scientific Awards: Berkeley Collegium Award for Excellence in Undergraduate Education (2017) Distinguished Service Award, Division of Social Sciences (2014) Carol D. Soc Distinguished Graduate Student Mentoring Award (2014) Fellow of the American Association for the Advancement of Science Fellow of the American Physical Society Mellon New Directions Fellowship NSF CAREER Award Alexander von Humboldt Foundation Research Fellowship Member, Institute for Advanced Study, Princeton Carson has served in multiple leadership roles, including Associate Dean of Social Sciences, founding Interim Director of the D-Lab (Social Science Data Laboratory), and Faculty Lead of Berkeley’s Data Science Education Program. She is currently accepting students for advising and contributes to campus governance through roles in the Academic Senate.

Karin Allor PfeifferView profile

Professor

• Physical Activity Measurement
• Childhood Obesity Prevention
• Exercise Physiology
• +3 more

Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.

• Network Security
• Cryptographic Protocols
• Industrial Control System Security
• +7 more

Professor Ernest Foo is a distinguished academic at Griffith University's School of Information and Communication Technology, specializing in cybersecurity with a focus on industrial control systems and cryptographic protocols. With over 15 years of experience in computer networking, he has established himself as a leading expert in SCADA security and smart grid cybersecurity. His research has significant practical applications in critical infrastructure protection, and he has developed hands-on security training programs that have trained professionals from major Australian utilities and government agencies. Professor Foo's educational background includes: Bachelor of Engineering with Honours in Electronic and Computer Engineering from University of Queensland Doctor of Philosophy from Queensland University of Technology Professor Foo's research interests center around secure cryptographic protocols with specific applications in industrial control system security and cyber physical systems. His work spans SCADA security, smart grid protection, wireless sensor network security, and post-quantum cryptography. He has made significant contributions to understanding vulnerabilities in industrial protocols like Modbus and DNP3, and has pioneered the application of process mining and data mining techniques for attack detection in critical infrastructure systems. His research bridges theoretical security concepts with practical implementations in real-world industrial environments. Professor Foo's recent publications demonstrate a clear trajectory toward increasingly sophisticated security frameworks for critical infrastructure. His work shows a progression from foundational SCADA security research to advanced applications of artificial intelligence, machine learning, and formal methods in cybersecurity. A notable trend is the integration of zero trust principles with industrial control systems, alongside growing emphasis on post-quantum cryptographic solutions. His publications span high-impact journals and conferences in cybersecurity, with increasing focus on anomaly detection in cyber-physical systems and the application of graph-based machine learning techniques to network security challenges. Professor Foo's notable scientific achievements include: Best paper award at the 2nd International Cyber Resilience Conference for "Gap analysis of Intrusion Detection in Smart Grids" Professor Foo has secured significant research funding including an ARC Linkage grant with Powerlink Queensland focused on cyber security for electricity sub-stations. He currently leads multiple research projects including Westpac Micro-Credentials in Financial Crime Investigation, Digital Banking Micro-credentials with ANZ, and research on quantum-safe cryptography. As a dedicated educator, he serves as Program Director for multiple cybersecurity programs including the Master of Cyber Security, and has supervised numerous doctoral and masters students. His Cyber Security: Industrial Control System course, conducted annually from 2013-2018, featured innovative hands-on training with real-world participants from major Australian utilities. Professor Foo has been instrumental in establishing the SCADA security research laboratory with multiple vendor system miniatures running industrial PLCs. His work bridges theoretical security concepts with practical implementations, making significant contributions to the security of industrial control systems and critical infrastructure worldwide.

Denis FougerouseView profile

Senior Lecturer

• Structural Geology
• Economic Geology
• Nanochemistry
• +3 more

Denis Fougerouse is a Senior Lecturer at Curtin University’s School of Earth and Planetary Sciences (EPS), specializing in structural and economic geology with a focus on nanogeoscience and advanced characterization techniques. He leads research using atom probe tomography (APT) to study mineral interfaces, fluid dynamics, and critical metal distribution. His work spans asteroid mineralogy (e.g., Ryugu samples), ore genesis, and nuclear geology (e.g., Chernobyl zircon re-equilibration). Fougerouse is a key member of Curtin’s Geoscience Atom Probe Facility, advancing applications of APT in geosciences. Research interests include gold remobilization mechanisms, sulfide chemistry, and shock metamorphism. He has contributed to landmark studies on pyrite microtextures, xenotime geochronology, and nanoparticle transport in gold deposits. Fougerouse’s awards include the 2024 Mineralogical Society of America Award for pioneering nanoscale mineral analysis. His interdisciplinary collaborations span planetary science, environmental geochemistry, and materials science, reflecting his role at the forefront of geoscience innovation.

• Catalysis
• Inorganic Chemistry
• Environmental Chemistry
• +3 more

Dr. Xinwei Ye serves as a Researcher in the Inorganic Chemistry and Catalysis division at Utrecht University's Faculty of Science. His primary affiliation is with the Department of Chemistry, where he conducts cutting-edge research on heterogeneous catalysis for environmental applications, particularly focusing on selective catalytic reduction (SCR) systems for automotive emissions control. With a strong background in inorganic materials and advanced characterization techniques, Dr. Ye contributes significantly to understanding catalyst structure-performance relationships. Educational Background: Master of Science (MSc) - Institution not specified in source Doctor of Philosophy (PhD) in Chemistry, Utrecht University (2022) Dr. Ye's research program centers on the development and mechanistic investigation of copper-exchanged zeolite catalysts for NH 3 -SCR processes. His work integrates multiple advanced characterization methodologies including operando spectroscopy, scanning transmission X-ray microscopy (STXM), and atom probe tomography to probe catalyst behavior under working conditions at nanometer resolution. This multi-technique approach enables unprecedented insights into active site speciation, reaction mechanisms, and deactivation pathways in emission control catalysts. Analysis of Dr. Ye's publication record from 2018-2022 reveals a cohesive research trajectory focused on copper-zeolite SCR catalysts. His work consistently addresses critical challenges in catalyst durability and performance optimization through fundamental understanding of structure-activity relationships. The publications demonstrate increasing sophistication in experimental approaches, moving from membrane synthesis (2018) to nanoscale deactivation studies (2020) and ultimately to comprehensive structure-performance correlations in his doctoral thesis (2022). As a core member of Utrecht University's catalysis research community, Dr. Ye collaborates extensively with the renowned Weckhuysen group. His research is conducted within well-equipped laboratories featuring state-of-the-art instrumentation for catalyst synthesis, testing, and characterization, including access to synchrotron radiation facilities for advanced X-ray techniques.

• Earthquake Seismology
• Seismic Tomography
• Subduction Zone Processes
• +4 more

Andreas Rietbrock is Professor and Director of the Geophysical Institute (GPI) at the Karlsruhe Institute of Technology (KIT) , Germany, where he also serves as Dean of Studies for Geophysics . He is a leading expert in earthquake seismology, seismic tomography, and subduction zone dynamics, with a strong focus on integrating advanced observational techniques and computational methods. Education: While specific degrees are not listed in the provided text, his extensive publication record and leadership roles indicate advanced academic training in geophysics and seismology. Research Interests: His work spans a wide range of topics including: Seismic imaging of subduction zones (e.g., Nazca, Lesser Antilles) Earthquake rupture dynamics and fault mechanics Volcanic seismology and magma transport Full waveform inversion and AI-enhanced seismic analysis Distributed Acoustic Sensing (DAS) applications Induced seismicity and reservoir monitoring Research Trends: His recent publications (2022–2025) emphasize the use of dense seismic arrays, AI-based data processing, and multi-method tomography to study complex tectonic environments. Key themes include high-resolution imaging of slab structures, fluid migration in subduction zones, and the integration of DAS and machine learning for seismic monitoring. Scientific Contributions: Andreas has led major international projects such as the ANTICS Large-N deployment in Albania and the VoiLA project in the Lesser Antilles. He has published extensively in top-tier journals like Nature , Geophysical Research Letters , and Journal of Geophysical Research , with over 200 peer-reviewed articles. Teaching and Supervision: He teaches courses such as "Introduction to Geophysics II", "Seismology", and "Current Topics in Seismology and Risk". While specific student names are not listed, his role as Dean and principal investigator on numerous projects indicates active supervision of graduate students and postdocs. Labs and Teams: He leads the seismology group at GPI, coordinating large-scale deployments of seismic instruments, including ocean-bottom seismometers and fiber-optic DAS systems. His team collaborates globally with institutions in Europe, South America, and Asia.

• Quantitative Science Studies
• Bibliometrics
• Scientometrics
• +7 more

Ludo Waltman serves as Scientific Director and Professor of Quantitative Science Studies at the Centre for Science and Technology Studies (CWTS) within Leiden University's Faculty of Social and Behavioural Sciences. He holds multiple influential positions including Co-chair of the Research on Research Institute (RoRI), President of ASAPbio, and Editor-in-Chief of MetaROR (MetaResearch Open Review). As an Open Science Ambassador for Leiden University, he actively promotes transparency and innovation in scholarly communication. Waltman's research spans Quantitative Science Studies, Bibliometrics, and Metascience, with particular focus on university rankings, preprint ecosystems, open access publishing models, and research evaluation frameworks. His work critically examines the infrastructure of scholarly communication, advocating for more transparent and efficient systems that better serve the research community. He has been instrumental in developing initiatives like the Barcelona Declaration on Open Research Information and advancing publish-then-review models as alternatives to traditional peer review. His recent publications reveal a consistent emphasis on systemic issues in scholarly communication, with particular attention to preprint adoption across Europe, the relationship between assessment reform and publishing reform, and the methodological transparency of university rankings. These works collectively demonstrate his commitment to evidence-based approaches for improving research infrastructure and evaluation practices. Waltman actively engages in advising and shaping research policy through his leadership roles. As Co-chair of RoRI, he helps guide metascience research that examines the research system itself. His work with MetaROR promotes innovative peer review models, while his presidency at ASAPbio advances preprint culture in life sciences. He frequently collaborates with major research funders, publishers, and infrastructure organizations to implement practical reforms in scholarly communication. Through CWTS at Leiden University, Waltman leads a research environment focused on quantitative analysis of science and technology systems. His work connects with broader initiatives like the Research on Research Institute and the Barcelona Declaration movement, creating networks that bridge researchers, funders, and infrastructure providers committed to improving research practices.

• Environmental Science
• Sustainability
• Agroecology
• +3 more

Dr. Federico Cammelli is a Researcher at the Department of Environmental Systems Science (ETH Zurich) within the Professorship for Sustainable Agroecosystems. His work focuses on environmental sustainability, deforestation mitigation, and equitable policy design in tropical regions. He investigates the effectiveness of supply chain policies, fire management strategies, and smallholder livelihood challenges in regions like the Amazon, West Africa, and Indonesia. Key research areas include zero-deforestation commitments in cattle and soy sectors, cocoa sustainability in West Africa, and the interplay between fire use, poverty, and conservation. He employs experimental methods and interdisciplinary approaches to address complex environmental governance challenges. Based at ETH Zurich’s Sonneggstrasse 33 campus, Dr. Cammelli collaborates with international institutions to advance sustainable agroecosystems and climate-resilient development. His research bridges environmental science, policy analysis, and socioeconomic dimensions of conservation.

Maurizio DallocchioView profile

Professor

• Corporate Finance
• Mergers & Acquisitions
• Corporate Restructuring
• +3 more

Maurizio Dallocchio is a Full Professor of Corporate Finance at Bocconi University and SDA Bocconi School of Management. He served as Dean of SDA Bocconi (2003–2007) and has held leadership roles in academic and professional institutions, including Chair of the Audit Committee of the European Investment Bank (EIB). His research focuses on corporate valuation, mergers & acquisitions (M&A), and sustainable finance. Dallocchio founded DGPA & Co., a corporate finance consultancy, and advises public and private entities globally. He has taught at leading institutions like London Business School and NYU Stern School of Business. Educational Background: Ph.D. in Business Administration, Bocconi University Advanced studies at London Business School and New York University Stern School of Business Research Interests: Prof. Dallocchio’s work emphasizes corporate restructuring, ESG integration in finance, and strategic valuation methodologies . Recent studies explore environmental performance in emerging markets and the resilience of conglomerates during economic crises. He advocates for sustainable investment strategies that balance financial returns with societal impact. Professional Engagements: Board member roles at Klepierre Management, General Finance, and Podravska Banka Past Director of the Master in Corporate Finance program at SDA Bocconi Labs/Teams: Leads research initiatives at Bocconi’s Corporate Finance and Real Estate Department, collaborating with global institutions on projects involving corporate governance, M&A analytics, and sustainable development.

Naresh R. ShanbhagView profile

Professor

• Energy-efficient computing
• Machine learning hardware
• In-memory computing
• +7 more

Naresh R. Shanbhag is the Jack Kilby Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He serves as Director of the Systems on Nanoscale Information fabriCs (SONIC) Center and held the D.J. Gandhi Distinguished Visiting Professorship at IIT Mumbai from 2015-2020. Previously, he was a visiting faculty member at National Taiwan University (2007) and Stanford University (2014). Dr. Shanbhag received his doctorate from the University of Minnesota (1993) in Electrical Engineering. From 1993 to 1995, he worked at AT&T Bell Laboratories as the lead chip architect for AT&T's 51.84 Mb/s transceiver chips over twisted-pair wiring for Asynchronous Transfer Mode (ATM)-LAN and very high-speed digital subscriber line (VDSL) chip-sets. His research focuses on the design of energy-efficient machine learning, communications, and signal processing systems on resource-constrained embedded platforms. He explores fundamental trade-offs between energy efficiency, latency and accuracy of decision-making systems implemented in nanoscale technologies, with applications to computer vision, biomedicine, automatic target recognition, and imaging. His work spans four primary focus areas: Resource-efficient Machine Learning for the Edge, In-memory Computing (IMC), Energy-efficient High Data Rate Communications, and Shannon-inspired Statistical Error Compensation (SEC). Analysis of his recent publications reveals a strong emphasis on in-memory computing architectures (SRAM, MRAM, RRAM) for machine learning acceleration. His work consistently addresses energy-accuracy trade-offs, with increasing attention to security aspects of hardware implementations and applications to MIMO signal processing and edge AI systems. His research demonstrates a progression from theoretical foundations to practical silicon implementations. 2024 Semiconductor Research Corporation Innovation Award 2018 Semiconductor Industry Association/Semiconductor Research Corporation University Researcher Award 2018 IEEE International Symposium on Circuits and Systems Best Paper Award 2006 IEEE Fellow 1996 National Science Foundation CAREER Award Professor Shanbhag has mentored over 50 graduate students who now work at leading technology companies including Qualcomm, Amazon, Nvidia, Intel, and Apple. His research has been generously supported by the National Science Foundation, DARPA, AFRL, Semiconductor Research Corporation, Texas Instruments, Sandia National Laboratories, and industry partners including IBM, GlobalFoundries, and Intel Corporation. He led the Alternative Computational Models research theme (2006-2012) and was the founding Director of the SONIC Center (2013-2017), a 5-year multi-university center funded by DARPA and SRC. Currently, he leads research themes in the SRC and DARPA funded JUMP 2.0 Program's Center for Co-Design of Cognitive Systems and the Center for Ubiquitous Connectivity, and in the NSF IUCRC Center for Advanced Semiconductor Chips with Accelerated Performance (ASAP). As Director of the Systems on Nanoscale Information fabriCs (SONIC) Center, Professor Shanbhag leads a multidisciplinary team exploring novel computing paradigms for the nanoscale era. His group has benchmarked an extensive collection of in-memory computing and digital accelerator IC designs, maintaining a publicly available IMC benchmarking repository of metrics extracted from published IC prototypes. His research philosophy integrates concepts from information theory, statistical signal processing, detection and estimation, VLSI architectures, and digital and analog integrated circuits to develop energy-efficient systems from algorithms to silicon implementations.

• Earthquake Early Warning
• Real-Time Seismology
• Seismic Instrument Design
• +6 more

Dr. John Francis Clinton is the Director of Seismic Networks and Head of the Earthquake Monitoring Section at the Swiss Seismological Service (SED), ETH Zurich. He leads the Marsquake Service for NASA's InSight mission and oversees Switzerland's broadband and strong-motion seismic networks. His expertise spans earthquake early warning systems, seismic instrumentation, and glacial seismology. Clinton is also a Co-Investigator on the Mars InSight mission and involved in international projects like EPOS and RAMSIS. Education PhD in Civil Engineering (Minor in Geophysics), California Institute of Technology (2004) MSc in Civil Engineering, California Institute of Technology (1998) BEng in Civil Engineering, University College Dublin (1997) Research Interests Dr. Clinton focuses on real-time seismology, seismic instrument design, structural health monitoring, and glacial seismology. His work bridges engineering applications with geophysical data analysis, particularly in earthquake early warning systems and induced seismicity studies. He collaborates internationally on projects such as the Valais Near Fault Observatory and Nicaragua’s Earthquake Early Warning development. Publications Overview His 15 most recent papers (2011–2015) highlight advancements in seismic network optimization, Marsquake detection algorithms, and glacial icequake mechanisms. Key themes include improving early warning accuracy, understanding subglacial dynamics, and validating high-rate GPS for structural monitoring. Awards & Memberships Member, Swiss Academy of Sciences (since 2008) Member, IRIS Quality Assurance Advisory Committee (since 2013) Chair, European Integrated Data Archives (EIDA) (2013–2015) Labs & Teams Clinton directs the SED’s Earthquake Monitoring team and collaborates with ETH Zurich’s Geophysics Masters Program. His group manages Switzerland’s seismic networks and leads the Marsquake Service, which analyzes InSight lander data for Martian seismic events.

Serdar K. GozpinarView profile

Associate Clinical Professor

• High Energy Physics
• Particle Physics
• Experimental Physics
• +2 more

Serdar K. Gozpinar serves as a Clinical Associate Professor in the Department of Physics within the College of Arts and Sciences at the University at Buffalo, where he has been teaching faculty since 2013. His academic credentials include: Bachelor of Science in Electrical and Electronics Engineering from Baskent University (2006) Doctor of Philosophy in Experimental High Energy Physics from Brandeis University (2012) Professor Gozpinar specializes in experimental particle physics with deep involvement in the ATLAS collaboration at CERN's Large Hadron Collider. His research focuses on fundamental particle interactions and high-energy collision analysis, contributing to advancements in subatomic physics. His engineering background uniquely bridges theoretical physics with experimental instrumentation design. As a dedicated teaching faculty member, he delivers physics curriculum across undergraduate programs. His pedagogical approach integrates cutting-edge research methodologies with core physics principles, particularly in electromagnetism and quantum mechanics. The department leverages his CERN experience to provide students with real-world experimental physics perspectives.

Steffen MarburgView profile

Professor

• Numerical Methods in Vibroacoustics
• Aeroacoustics
• Structural Optimization
• +6 more

Prof. Dr. Steffen Marburg is a Full Professor at the Chair of Acoustics of Mobile Systems within the TUM School of Engineering and Design at the Technical University of Munich. His research focuses on numerical methods in vibroacoustics, structural optimization, and acoustic modeling for applications in automotive, maritime, and musical instrument domains. Education: PhD from Technical University of Dresden (1998). Academic Career: Junior Professor at TU Dresden (2004), Chair of Technical Dynamics at University of the Federal Armed Forces Munich (2010), Full Professor at TUM (2015–present). Editorial Roles: Co-Editor-in-Chief of Journal of Theoretical and Computational Acoustics, Associate Editor of Journal of the Acoustical Society of America, Editor of Acoustics Australia and Mechanical Systems and Signal Processing. His research integrates computational acoustics, boundary element methods, and machine learning to address noise control and structural optimization challenges. Recent work explores acoustic metamaterials, viscothermal losses, and data-driven modeling. He has co-authored over 150 publications and led advancements in multifrequency solution methods and noise-insulating structures. Scientific awards include the Innovation Award of the Industrieclub Sachsen e.V. (1999). His editorial contributions and leadership in journals highlight his influence in computational acoustics and structural dynamics.