Muhammad Usman
Institute of Science Tokyo, The University of Tokyo, University of Gujrat
Research areas: Energy · Fuel Technology · Thermochemical Biomass Conversion Processes · Anaerobic Digestion and Biogas Production · Biodiesel Production and Applications
About
Muhammad Usman is a researcher specializing in sustainable energy, biofuels, waste valorization, and nanomaterials. His work focuses on hydrothermal liquefaction, catalyst development, and reactor design for converting biomass and waste into valuable fuels and chemicals. He holds a Ph.D. from Tokyo Institute of Technology and has published extensively in peer-reviewed journals.
Employment
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Institute of Science Tokyo Researcher (Postdoc)2024 - Present
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The University of Tokyo Researcher (Research Intern)2020 - 2024
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University of Gujrat Research Assistant2015 - 2018
Education
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Institute of Science Tokyo Ph.D in Engineering2021 - 2024
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Institute of Science Tokyo Master of Engineering2019 - 2021
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University of Gujrat Bachelor of Chemical Engineering2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- Development and Preliminary Evaluation of an Electric Kick-Scooter Platform with BLDC Drive Control, Battery Voltage–Current Logging, and Rider-Mass-Based Theoretical Range Estimation Save
- Hydrogen in transition: Comparative analysis of technologies, innovations, and global strategies for decarbonization Save
- Review of Recent Advances in Microplastic Ecological Risk Assessment: From Problem Formulation to Risk Characterization Save
- An ultralightweight anode-exhaust-driven micro-ejector enabling zero-parasitic-power cathode air supply for compact fuel cell systems Save
- Comparative cradle-to-application life cycle assessment of hydrogen pathways: Role of ethanol purity and end-use efficiency in SOFCs and hydrogen engines Save
- Deep learning–driven investigations of thermal performance in GO–SWCNT–MWCNT/H2O-based ternary nanofluids flow over a stretching sheet: a comparative analysis of steady and unsteady states using Levenberg–Marquardt neural network model Save
- Edible-based alternative fuel feedstocks Save
- Hydrothermal Liquefaction of Sewage Sludge for Renewable Fuel Production Save
- Techno-economic and emissions comparison of waste-to-fuel via hydrothermal liquefaction, transesterification, and incineration Save
- Selective Extraction and Hydrotreatment of Biocrude from Sewage Sludge: Toward High-Yield, Alkane-Rich, Low-Heteroatom Biofuels Save
- Methanol Reforming for Hydrogen Production: Advances in Catalysts, Nanomaterials, Reactor Design, and Fuel Cell Integration Save
- Laser Processing of YSZ Ceramics without Cracking: The Impact of Solvent Selection on Performance Save
- Neural Network Modeling of CuO/Au Hybrid Nanofluid Thermal Performance with Slip Effects for Advanced Process Applications Save
- AI‐Driven FEM Analysis of Marangoni Convection in Carreau Nanofluids Save
- Review of Recent Advances in Microplastic Ecological Risk Assessment: From Problem Formulation to Risk Characterization Save
- Advances in Palladium-Based Membrane Research: High-Throughput Techniques and Machine Learning Perspectives Save
- Recent Trends and Advancements in Green Synthesis of Biomass-Derived Carbon Dots Save
- A review of breakthroughs in biodiesel production with transition and non-transition metal-doped CaO nano-catalysts Save
- Does Peer Matters? How Peer Influence Firm Payout Policies: Evidence from Pakistan Save
- From biomass to biocrude: Innovations in hydrothermal liquefaction and upgrading Save