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Matteo PedrottiView profile

Senior Lecturer

• Geomechanics
• Clay Mechanics
• Soil Stabilization
• +7 more

Dr. Matteo Pedrotti is a Senior Lecturer in Civil and Environmental Engineering within the Faculty of Engineering at the University of Strathclyde. His academic career focuses on geomechanics and advanced geomaterials research, with a particular emphasis on understanding material behavior from nano-to-micro scales to field applications. He leads multiple research projects and serves as a peer reviewer for prominent journals in his field. Dr. Pedrotti's research interests span the design and characterization of advanced composite systems of geomaterials and synthesized hydrogels. His work investigates how atmospheric interactions, stress history, and groundwater chemistry influence hydro-mechanical characteristics at the nano and micro scales. This research enables the engineering of advanced porous networks with unprecedented macroscopic bulk performance. His vision includes establishing a research group to develop "super soils" with enhanced water retention for agriculture, increased mechanical strength for construction, self-healing capabilities against desiccation cracking, and zero water permeability for environmental barriers. Analysis of Dr. Pedrotti's publication record reveals a strong focus on clay mechanics and soil characterization techniques. His research employs advanced methods like X-ray Computed Tomography to study particle kinematics and microstructural behavior. The work spans fundamental micromechanics of clay particles to practical applications in soil stabilization and environmental protection. Key themes include drying-induced volumetric behavior, pore-scale modeling, and the utilization of materials like mica for soil improvement. Dr. Pedrotti actively supervises postgraduate research and leads multiple funded projects. His current research portfolio includes: Exploring natural fibers to improve resilience of unreinforced masonry structures in Malawi (£24,986 funding) Experimental characterization of Bentonite hydromechanical behavior in high salinity environments (multiple projects totaling approximately £122,000) Mechanisms of stress transfer in clayey materials using X-ray Computed Tomography at Diamond Light Source (£60,000) An energy-free pump using nanoporous gels for passive subsurface water lifting Dr. Pedrotti maintains active professional engagement through peer review activities for journals like ACS Sustainable Chemistry and Engineering and Scientific Reports. He organizes the Geotechnical Engineering Course (CL-314) and participates in international symposia including IS-Grenoble2024 and the EPSRC Multi-Disciplinary IM3AGES Facility Workshop.

• Renewable Energy Systems
• Energy Storage
• Demand Response
• +5 more

Dr. Fadi Kahwash serves as a Lecturer in Mechanical Engineering within the School of Computing, Engineering and the Built Environment at Edinburgh Napier University, where he teaches design and energy-related modules. He joined Napier University in 2021 after working as a research assistant and research fellow at Northumbria University, where he participated in EU-funded projects including Erasmus+ for renewable energy teaching and Horizon 2020 for research initiatives. Dr. Kahwash earned his PhD in Mechanical Engineering in 2018 from Northumbria University with research focused on novel numerical methods applied to modeling machining of composite materials. His educational background established the foundation for his expertise in physics-based modeling and simulation techniques that continue to drive his research agenda. His research spans renewable technologies, energy storage, aerodynamics, materials science, and manufacturing processes, unified by a common thread of physics-based modeling and numerical methods. Recent work demonstrates increasing focus on practical applications in healthcare energy systems, residential multi-energy integration, and biodegradable medical implants through additive manufacturing. His publications reveal a strategic evolution from fundamental machining simulations toward applied energy solutions addressing real-world sustainability challenges. Dr. Kahwash's recent publications show strong emphasis on energy system integration for healthcare facilities, residential applications, and industrial processes. His work combines theoretical modeling with practical implementation considerations, particularly in unreliable grid environments and specialized applications like medical facilities. The research demonstrates sophisticated understanding of both technical and economic aspects of energy systems. Fellowship of the Higher Education Academy (FHEA) Member of the Institution of Mechanical Engineers (MIMechE) Chartered Engineer (CEng) Dr. Kahwash actively supervises multiple PhD students on projects including energy management strategies for hybrid renewable systems, work and heat exchange networks for hydrogen industry, photovoltaic integration in buildings, and optimization of additively manufactured medical parts. His research portfolio includes significant funding from diverse sources including the British Council (£80,000 for Resilient & Green Healthcare in Egypt), EPSRC (£49,531 for Multi-Scale Energy Systems Modelling), and Scottish Funding Council (multiple £4,999-5,000 grants for energy storage projects). These projects demonstrate his ability to secure competitive funding for applied research addressing energy sustainability challenges. His work involves collaboration with multiple research teams including Energy Systems Catapult, Northumbria University researchers, and international partners in Egypt. Current projects focus on developing AI-aided energy management software, modular energy storage solutions, and innovative approaches to healthcare facility power resilience, reflecting a strategic research direction toward practical, implementable energy solutions for critical infrastructure.

Yang ChenView profile

Research Fellow

• Aerial Robotics
• Human Augmentation
• Human-Robot Interaction
• +8 more

Yang Chen is a postdoctoral researcher at the Laboratory of Intelligent Systems (LIS) under the School of Engineering (STI) at École polytechnique fédérale de Lausanne (EPFL) . He obtained his Ph.D. in Human Informatics from the University of Tsukuba in 2023 and has held research positions at University of Tsukuba, ETH Zurich, and CNRS-AIST JRL. Research Interests: Aerial robotics, human augmentation, shared control, assistive technology, SLAM, and wearable devices. Awards: JST SPRING Fellowship (Class 1), JSPS Research Fellow DC2, Toyota Mobility Unlimited Challenge Finalist. Projects: Symbiotic aerial swarms, smart stroller control, standing mobility vehicle interfaces, and docking support systems. Email: yang.chen@epfl.ch

Shibashis GuhaView profile

Associate Professor

• Formal Methods
• Logic in Computer Science
• Automata Theory
• +12 more

Shibashis Guha is an Associate Professor (Reader) at the School of Technology and Computer Science, Tata Institute of Fundamental Research (TIFR), where he conducts research and teaches in formal methods, logic, automata theory, and verification. His work focuses on reactive controller synthesis, probabilistic systems, timed automata, and the integration of machine learning with formal verification. Institution: Tata Institute of Fundamental Research School: School of Technology and Computer Science Department: Department of Computer Science Academic Rank: Associate Professor His research interests span formal methods, logic in computer science, automata theory, probabilistic systems, algorithmic game theory, and reinforcement learning. He investigates the synthesis of reactive controllers, behavioral equivalences, and the application of learning in verification. His work often intersects with infinite games and descriptive complexity. The recent publications highlight a strong trend in stochastic games, mean-payoff objectives, window properties, probabilistic model checking, and the synthesis of controllers under logical specifications. There is a clear emphasis on bridging formal methods with learning, especially in continuous-time and probabilistic settings. Scientific Awards: Best paper award at MFCS 2021 Guha advises several students and collaborates widely across institutions. His research is funded by the DST-SERB project on zero-sum and nonzero-sum games for controller synthesis. He has served on program committees for major conferences including CAV, ATVA, CONCUR, LICS, and VMCAI, and has organized workshops such as iVerif. He teaches advanced graduate courses like Automata and Computability, Descriptive Complexity, and Automata, Verification, and Infinite Games. He is actively involved in the research community, delivering invited talks at institutions like IST Austria, ENS Paris-Saclay, and Indian Statistical Institute. He also leads seminar series and participates in panels on AI and verification.

Aurelio PiazziView profile

Professor

• Control Theory
• Autonomous Robotics
• Mechatronics Systems
• +7 more

Aurelio Piazzi is a Full Professor of Systems and Control Engineering at the Department of Engineering and Architecture , University of Parma , Italy, where he has been a faculty member since 1992. He holds a Laurea magna cum laude in nuclear engineering and a PhD in Systems Engineering, both from the University of Bologna. He founded the Active Control Laboratory (ACtLab) in 1995 and currently serves as the director of the Polytechnic Library and president of the Laurea Magistrale in Informatics Engineering. Academic Rank: Professor Department: Department of Engineering and Architecture University: University of Parma Email: aurelio.piazzi@unipr.it Office Location: Campus Scienze e Tecnologie - Padiglione 10, Parco Area delle Scienze, 181/A, 43124 Parma, Italy Personal Website: http://www.ce.unipr.it/people/piazzi His research is centered on control theory , with a focus on inversion-based and optimal feedforward control methods , feedforward-feedback control strategies , and autonomous navigation of wheeled robots and vehicles. He also investigates vision-based control systems and mechatronics . His work bridges theoretical advancements with industrial applications, including food ovens and railway pantograph inspection. The recent publications highlight a strong trend in inversion-based control architectures , feedforward regulation , and trajectory planning for autonomous systems. His work frequently employs polynomial interpolation , spline methods (e.g., eta3, eta4) , and dynamic inversion to achieve smooth, optimal, and robust motion control. The research spans from theoretical equivalence proofs to practical implementations in robotics and industrial automation. He has led significant research projects such as: COOKIES: EU-funded project on vision-based control of food industrial ovens. PAVISYS: Vision-based inspection system for railway pantographs, developed in collaboration with RFI Ferrovie dello Stato. PRIN Projects: National research units on automation and control theory funded by MIUR. He has published over 100 scientific papers in top journals like IEEE Transactions on Automatic Control , Automatica , and IEEE Transactions on Robotics . He is a Senior Member of IEEE and a member of SIAM , reflecting his standing in the international control and applied mathematics communities. He teaches core courses including Fundamentals of Automatic Control and Nonlinear Systems at both undergraduate and graduate levels. He has supervised numerous research students and mentored early-career researchers. His laboratory, ACtLab (Active Control Laboratory) , serves as the primary hub for both teaching and research in automation and control systems at the University of Parma, fostering innovation and practical experimentation.

Turaj AshuriView profile

Professor

• Multiphysics Modeling
• Design Optimization
• Renewable Energy Systems
• +5 more

Dr. Turaj Ashuri is an Assistant Dean of Research Initiatives and Graduate Programs (interim) at the College of Engineering and Engineering Technology, Kennesaw State University. He previously held faculty positions at the University of Texas at Dallas and Arkansas Tech University, where he served in leadership roles such as Director of the Interdisciplinary Research Center and Graduate Program Director. Before academia, he accumulated over a decade of industry experience as a Structural Design Engineer, Research Engineer, and R&D Project Manager. PhD, Aerospace Engineering, Delft University of Technology MSc, Aerospace Engineering, Sharif University of Technology BSc, Mechanical Engineering, Tehran Azad University Postdoctoral Research Fellowship, University of Michigan - Ann Arbor Dr. Ashuri's research focuses on Multiphysics Modeling and Design Optimization , spanning theoretical and applied domains. His work develops numerical methods for unsteady flow fields, nonlinear composite structures, and machine learning algorithms, while applying these techniques to soft robots, unmanned aerial vehicles, and renewable energy systems. He actively explores Uncertainty Quantification and Optimal Control in energy systems, with particular emphasis on wind turbine technology and biomedical soft robotics. His recent publications demonstrate expertise in Wind Farm Optimization (2016-2018), Soft Robotics (2020), and Hydrogen Fuel Cell Vehicles (2019). These works intersect Computational Design , Control Theory , and Renewable Energy Systems , reflecting his multidisciplinary approach. Scientific recognitions include: Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA) Chair, 2023 AIAA Aviation Forum Discipline Committee Dr. Ashuri's lab at KSU conducts research in Multidisciplinary Design Optimization and Machine Learning applications for intelligent mechanical systems. The lab receives funding from NASA and NIH , supporting work on soft robots, wind turbine engineering, and energy systems optimization.

• Supply Chain Optimization
• Supply Chain Analytics
• Freight Transportation
• +5 more

Michael Hewitt is a Professor of Supply Chain Management at the Quinlan School of Business, Loyola University Chicago, where he holds the Ralph Marotta Chair in Free Enterprise. He serves as Executive Director of the Quinlan Business Leadership Hub and Director of the Supply Chain and Sustainability Center, playing key leadership roles in academic and research initiatives. His research focuses on Supply Chain Optimization , Freight Transportation , and Network Design , leveraging advanced mathematical modeling and operations research techniques. His work bridges theoretical innovation with practical applications in logistics and transportation industries. The 15 most recent publications (limited here to 5) reflect a strong trend in continuous-time network modeling , dynamic discretization methods , and large-scale optimization for freight and service network design. His research spans disciplines including Operations Research, Transportation Science, and Supply Chain Analytics, with recurring subfields such as Benders decomposition, time-expanded networks, and resource-constrained pathfinding. Scientific Awards: CSoNet Best Paper Award 2023 INFORMS TSL Freight Transportation & Logistics SIG Best Paper Award 2021 Glover-Klingman Prize 2019 INFORMS TSL Best Paper Award 2018 Loyola Faculty Researcher of the Year 2015 Dr. Hewitt has secured research funding from the National Science Foundation , Material Handling Institute , and New York State Health Foundation . He actively mentors students through research collaboration and has advised projects with real-world impact at companies like Bayer Crop Science , Exxon Mobil , and Schneider . He serves on editorial boards and holds leadership roles in INFORMS , including past presidency of the Transportation Science and Logistics Society. He leads two major centers: the Supply Chain and Sustainability Center and the Quinlan Business Leadership Hub , fostering interdisciplinary research, industry partnerships, and student development in supply chain and leadership education.

• Artificial Intelligence
• Neuromorphic Computing
• Brain-inspired Computing
• +13 more

Vittorio Fra is a Fixed-term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he conducts research in artificial intelligence, neuromorphic computing, edge computing, and robotics. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and contributes to interdisciplinary research bridging engineering, nanotechnology, and smart urban systems. His research interests center on AI and neuromorphic computing for industrial and IoT applications , with strong emphasis on brain-inspired computing, memristive devices, and nanoscale technologies. His work spans from low-level hardware characterization to high-level algorithm design, integrating machine learning, bio-inspired computing, and scientific simulation. He actively explores neuromorphic solutions for real-world edge applications such as human activity recognition, smart traffic control, and assistive technologies like Braille readers. The trend across his recent publications (2022–2025) reveals a consistent focus on deploying spiking neural networks and neuromorphic architectures on commercial edge devices, optimizing neural execution, developing benchmarking tools (e.g., NeuroBench, WiN-GUI), and validating neuromorphic solutions on practical problems like Sudoku and the knapsack problem. His work bridges theoretical AI with applied engineering, targeting sustainability and innovation in infrastructure and urban communities. Scientific Awards: No scientific awards explicitly mentioned in the text. Advising and Grants: Vittorio Fra supervises Filippo Aisa , a PhD candidate in Electrical, Electronic, and Communications Engineering. He leads a commercially funded research project titled Supporto allo sviluppo di un smart digital water distributor monitoring system (2025–2026) , serving as the Scientific Responsible. His teaching roles include PhD instruction, course collaboration, and invited membership in academic councils across engineering and planning programs. Labs and Research Teams: He is a member of the PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR) , a multidisciplinary research center focused on robotics for societal applications. His collaborations span multiple institutions and projects, involving teams working on neuromorphic ecosystems (e.g., Lava-Loihi), wireless sensor networks, and brain-inspired computing frameworks.

• Wireless Systems and Networks
• Internet of Things (IoT)
• Digital Twin
• +9 more

Luciano Bononi is a Full Professor and Deputy Head of the Department of Computer Science and Engineering at the University of Bologna. He holds a PhD in Computer Science (2002) and has been active in academia since 2001, progressing through roles like Researcher, Senior Researcher, Associate Professor (2011), and Full Professor (2020). His research focuses on Wireless Systems, IoT, Digital Twins, Smart Cities, and Mobile Applications , with over 160 peer-reviewed publications and major contributions to EU projects like Arrowhead and IoE. Education: MS (Laurea) in Computer Science, University of Bologna (1997, Summa cum Laude) PhD in Computer Science, University of Bologna (2002) Research Interests: Bononi's work spans Wireless Protocols, IoT Platforms, Digital Twin Integration with AI, Smart Mobility/ Energy Systems, and Edge Computing . He leads the WiLMA Lab and the ALMA-AI CoInnovation Lab , focusing on real-world IoT deployments and smart city solutions. Key Contributions: Coordinated EU projects like Arrowhead (2013-2017) and national initiatives like PNRR-Mobility-Spoke 7 Recipient of 4 Best Paper Awards and top rankings in global scientist databases Editorial roles at 7 journals including Wiley's Wireless Communications and Elsevier's Ad Hoc Networks Organized over 15 international conferences as Chair and participated in 200+ TPC roles Labs & Teams: Directs the WiLMA Lab (Wireless Systems and Mobile Apps) and the ALMA-AI CoInnovation Lab , emphasizing interdisciplinary collaboration between academia and industry.

• Quantum Physics
• Atomic Physics
• Attosecond Science
• +3 more

Prof. Dr. Hunger Brezinova is an Assistant Professor at TU Wien's Institut für Theoretische Physik. Her research focuses on quantum many-body systems, strong-field atomic physics, and reduced density matrix methods. She leads projects on adaptive quantum propagation techniques and two-particle density matrix theories for attosecond correlation dynamics. Main Affiliation: E136 - Institut für Theoretische Physik Key Research Areas: Attosecond Science, Quantum Correlations, Non-Equilibrium Dynamics, Strong Laser Fields Her work bridges theoretical developments with computational methods, particularly in simulating ultrafast electron dynamics in atoms and condensed matter systems. Recent studies include ionization processes in helium, fermionic Hubbard models, and coherence effects in Bose-Einstein condensates. Publications highlight advancements in density matrix formalisms and their applications to non-equilibrium systems. She advises PhD students like Stefan Donsa and Fabian Lackner, contributing to foundational studies in quantum many-body theory.

• Non-Terrestrial Networks (NTN)
• 6G Communication Systems
• Satellite Communications
• +5 more

Eva LAGUNAS is an Assistant Professor and Deputy-Head of the SIGCOM research group at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg. Her expertise lies in Non-Terrestrial Communication Systems , focusing on radio resource management and wireless networks optimization. She holds a Ph.D. and M.Sc. in Telecommunications Engineering from the Polytechnic University of Catalonia (UPC), Barcelona. Key Affiliations & Roles: Principal Investigator (PI) of the FNR CORE project VARRAY-5G (Vehicular Phase Array Antennas for 5G) PI of the CHIST-ERA project SHIELD (Secure Distributed Learning & Smart Contract Ecosystems) Co-PI in the ESA ARTES-funded NeuroSat project (Neuromorphic Processors for SatCom) Deputy-Head of SIGCOM group and active contributor to the TelecomAI-Lab (AI-driven satellite communication) Event organizer: Special Session on ML for NTN at IEEE ICMLCN 2025, Track Chair at EUCNC 2025 Research Interests: Non-Terrestrial Networks (NTN), 6G integration, satellite-ground network convergence, AI-driven optimization, reconfigurable intelligent surfaces (RIS), and neuromorphic computing for onboard processing. She also leads efforts in vehicular communications and energy-efficient satellite payloads. Recent Achievements: 2025: Elected to the EURASIP Board of Directors 2024: Listed in the 100 Brilliant and Inspiring Women in 6G list 2023: Co-authored NeuroSat project's IEEE publication on neuromorphic computing for SatCom Labs & Projects: TelecomAI-Lab : Developing neuromorphic hardware (e.g., Intel Loihi2, BrainChip AKIDA) for satellite applications ESA NeuroSat : Pioneering neuromorphic processors for onboard SatCom resource management Grants & Funding: Secured Luxembourg National Research Fund (FNR) and CHIST-ERA grants for projects like VARRAY-5G and SHIELD, totaling over €2M in research investment.

• Wireless Sensor Networks
• Brain-Computer Interfaces (BCI)
• EEG Signal Processing
• +4 more

Dr. Alexander Bertrand is a Professor at the Faculty of Engineering Sciences , KU Leuven, heading the Dynamic Systems, Signal Processing and Data Analysis (STADIUS) division. He leads the Department of Electrical Engineering (ESAT) and contributes to Leuven.AI institute, with expertise spanning wireless sensor networks, brain-computer interfaces (BCI), and biomedical signal processing. Research Focus : Wireless acoustic/EEG sensor networks, distributed signal enhancement, adaptive filtering, neural decoding of auditory/visual attention, and AI-driven time series analysis. Key Projects : EEG-Linx platform for modular brain recordings (2025-2027) Calibration-free BCI systems (2025-2029) AI quality assessment for time series data (2024-2028) Wireless EEG patches for hearing technology (2024) Publications (2023-2025) demonstrate leadership in distributed signal processing , auditory attention BCI , and scalable sensor architectures , with applications in education, healthcare, and wearable tech. Teaching includes courses on digital signal processing, biomedical data analysis, and medical technology design.

Ingrid DaubechiesView profile

Professor

• Applied Mathematics
• Signal Processing
• Image Compression
• +3 more

Ingrid Daubechies is a prominent mathematician and physicist known for her foundational work in wavelet theory. Born in Belgium, she earned her B.S. and Ph.D. from the Free University of Brussels. She transitioned from a physics background to applied mathematics, becoming a leading authority on wavelets while at AT&T Bell Laboratories. In 1993, she became the first woman tenured professor of mathematics at Princeton University, later joining Duke University as the James B. Duke Professor of Mathematics. Her research spans signal processing, image compression, and interdisciplinary applications in biology and art restoration. Daubechies' academic journey includes roles at Bell Labs, Princeton, and Duke, alongside extensive collaborations in computational biology and mathematics education. She has pioneered wavelet-based algorithms for data compression (JPEG 2000), developed metrics for biological morphology analysis, and contributed to art restoration techniques using mathematical imaging. Her leadership roles include presidency of the International Mathematical Union (2011–2014) and advocacy for women in mathematics. Recognized with prestigious awards like the National Academy of Sciences Award, John von Neumann Lecture Prize, and Nemmers Prize, her work bridges pure mathematics and applied sciences. She has supervised numerous research projects and authored influential texts, including Ten Lectures on Wavelets . Her legacy includes advancing computational tools for diverse fields, from medical imaging to evolutionary biology.

• Power System Stability
• Multi-terminal VSC-HVDC Systems
• Power Electronics in Power Grids
• +7 more

Dr. Francisco Javier Renedo Anglada is a Guest Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University, Spain. He has been actively involved in research at IIT since 2012, with a formal position since 2021. His work is centered on electrical systems, particularly in the domain of power system stability and HVDC technologies. Industrial Engineer (Electrical), ICAI - Comillas Pontifical University (2010) Master in Mathematical Engineering, Carlos III University of Madrid (2013) PhD in Engineering Systems Modeling, ICAI - Comillas Pontifical University (2018) His research interests focus on the stability and control of modern power systems. Key areas include multi-terminal VSC-HVDC systems , power system stability (especially transient and small-signal), power electronics applications in grids, and challenges in systems with high renewable energy content and low inertia. He has developed simulation tools and control strategies to enhance grid resilience. The analysis of his recent publications reveals a strong trend toward solving stability issues in hybrid AC/DC grids, particularly using DC segmentation, fast voltage boosters, and coordinated control of VSC-HVDC systems. His work addresses critical challenges like intra-area oscillations, transient stability in 100% inverter-based systems, and frequency support in low-inertia grids, reflecting a consistent focus on enabling high renewable integration. His scientific achievements include: Honorary Distinction for the best Doctoral Thesis in Engineering, Comillas Pontifical University (2019) Dr. Renedo has supervised PhD students and contributed to numerous national and international research projects funded by the European Commission (Horizon 2020), Spanish Ministry of Science, IRENA, IADB, and industry partners like Iberdrola and Endesa. He serves as a reviewer for IEEE Transactions on Power Systems and is an active member of IEEE and CIGRE Working Group C4B4.52, contributing to guidelines on sub-synchronous oscillations in power electronics-dominated systems. He has been involved in several research laboratories and teams, primarily within the IIT’s Electrical Systems area, focusing on modeling, control, and simulation of hybrid power systems. His work often involves collaboration with international universities and industry stakeholders.

• Nutritional Epidemiology
• Cardiometabolic Health
• Diabetes Management
• +3 more

Russell de Souza is an Associate Professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University . His work focuses on nutritional epidemiology and cardiometabolic health , particularly examining dietary impacts on diabetes , obesity , and cardiovascular disease across diverse populations. Extensive research on fructose-containing sugars and glycemic control through systematic reviews Investigates ethnic disparities in gestational diabetes and South Asian cardiovascular risk Develops precision medicine approaches for diabetic complications and obesity prevention Recent projects include microbiome-diet interactions , environmental health assessments , and decolonized research methods in Indigenous communities. His 2025 studies address gluten-related disorders , childhood obesity , and greenspace access equity . He utilizes meta-analytic techniques to evaluate probiotics for bone health and inulin-type fructans for cardiovascular risk reduction . His 2024 publications examined vaccine hesitancy in South Asian communities and sustainable end-of-life care strategies.