https://ojs.wiserpub.com/index.php/ibe/gateway/plugin/AnnouncementFeedGatewayPlugin/atom Industrial Bioresource Engineering: Announcements 2026-03-11T16:11:05+08:00 Open Journal Systems <p>Industrial Bioresource Engineering is an international, peer-reviewed, open access journal that aims to advance and disseminate knowledge in all the related areas of biomass/waste and technologies associated with conversion or production at an industrial level and economical perspective. IBE publishes original research articles, review articles, case studies and short communications on the fundamentals, applications and management of bioresources and their industrial applications. <a href="https://ojs.wiserpub.com/index.php/ibe/about">Click here to see more topics ......</a></p> https://ojs.wiserpub.com/index.php/ibe/announcement/view/569 Call for Papers: Industrial Bioresource Engineering (IBE) 2026-03-11T16:11:05+08:00 Industrial Bioresource Engineering <p><em>Industrial Bioresource Engineering</em> (IBE) invites submissions that advance and disseminate knowledge across all areas related to biomass and waste, as well as technologies for their industrial-level conversion or production from an economic perspective. The journal welcomes original research, case studies, reviews, and technical reports in a broad range of topics, including but not limited to:</p> <p> </p> <ul> <li>Conversion of renewable bioresources into biomaterials and composites, biochemicals, biofuels, biochar, and bioenergy through fermentation and catalytic processes</li> <li>Case studies and benchmark reports on industrial applications of various bioresources and bioresource-derived materials</li> <li>Circularity and sustainability aspects of bioresources and bioresource-derived materials</li> <li>Sustainable production and consumption of bioresources</li> <li>Material and energy recovery-based processes</li> <li>Downstream (bio)processing</li> <li>Technologies for converting biowastes/agricultural feedstocks into energy</li> <li>Bio-process optimization in industrial applications</li> <li>Application of artificial intelligence in biowaste management</li> <li>Resource recovery technologies at high technological readiness levels</li> <li>Hydrolytic and (bio)catalytical waste treatment technologies</li> <li>Environmental and risk assessment of industrial bioprocessing</li> <li>Modelling and systems analysis in bioresource engineering</li> <li>Green transition aspects of bioresource engineering</li> <li>Carbon neutrality, footprinting, and trading of bio-based technologies</li> <li>Blockchain and advanced commercial approaches for bio-based technologies</li> </ul> <p> </p> <p><strong>Article Processing Charges (APC):</strong><br />We are pleased to offer a full discount on APC for all submissions.</p> <p> </p> <p><strong>Important Dates:</strong></p> <ul> <li>Initial check: within 3 days</li> <li>Peer review: 3–4 weeks</li> <li>Revision period: 2–4 weeks</li> <li>Final decision: within 1 week</li> <li>Production: within 1 week</li> </ul> <p>From submission to final publication, the entire process is expected to be completed within 8–12 weeks.</p> <p> </p> <p><strong>Submission:</strong></p> <ul> <li>Directly via email: editoribe@universalwiser.com</li> <li>Online submission: <a href="https://ojs.wiserpub.com/index.php/ibe/about/submissions"><u>https://ojs.wiserpub.com/index.php/ibe/about/submissions</u></a></li> </ul> <p><em>Please ensure that you read the </em><a href="https://ojs.wiserpub.com/index.php/ibe/about/submissions"><u>Submission Guidelines</u></a><em> before submitting.</em></p> <p> </p> <p><strong>Queries:</strong><br />For any questions, please contact the Journal Coordinator:<br />Catherine<br />Email: editoribe@universalwiser.com<br />Journal page: <a href="https://ojs.wiserpub.com/index.php/IBE/"><u>https://ojs.wiserpub.com/index.php/IBE/</u></a></p> 2026-03-11T16:11:05+08:00 https://ojs.wiserpub.com/index.php/ibe/announcement/view/550 Numerous Editorial Board Members being included in the list of the world's top 2% scientists 2025 2025-09-30T16:46:37+08:00 Industrial Bioresource Engineering 2025-09-30T16:46:37+08:00 https://ojs.wiserpub.com/index.php/ibe/announcement/view/535 Special Issue: AI-Driven Innovations in Industrial Bioresource Engineering 2025-08-28T11:05:27+08:00 Industrial Bioresource Engineering <p><strong>Theme:</strong></p> <p>Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the industrial bioresource engineering landscape, offering unprecedented opportunities to enhance efficiency, sustainability, and innovation across the entire biomass value chain. This special issue aims to capture cutting-edge research and applications at the intersection of AI and bioresource engineering, spanning smart feedstock management, advanced conversion processes, supply chain optimization, and sustainability assessment.</p> <p>We invite contributions that demonstrate how AI can transform biomass cultivation, harvesting, characterization, and logistics to ensure consistent and sustainable industrial inputs. Research leveraging AI for thermochemical and biochemical conversion optimization—such as pyrolysis, gasification, fermentation, and enzymatic hydrolysis—will be emphasized, along with predictive modeling, real-time process control, and anomaly detection in bioenergy plants. The issue also welcomes works on digital twins and simulation platforms that integrate AI for real-time monitoring, predictive maintenance, and process optimization.</p> <p>In addition, the special issue seeks papers on AI-driven life cycle assessment (LCA), carbon footprint modeling, waste valorization, and techno-economic evaluations that inform policy and market adoption of AI in biomass industries. Interdisciplinary studies proposing novel AI algorithms, hybrid models, or reinforcement learning strategies tailored for high-dimensional and uncertain biomass systems are highly encouraged.</p> <p>By bringing together diverse contributions, this issue will provide a holistic view of how AI can accelerate the transition toward sustainable bioresource utilization, enhance operational reliability, and integrate bioenergy systems with smart grids for a low-carbon future.</p> <p> </p> <p><strong>Keywords: </strong>Artificial Intelligence, Machine Learning, Industrial Bioresource Engineering, Biomass Conversion, Bioenergy, Digital Twins, Supply Chain Optimization, Predictive Maintenance, Sustainability, Techno-Economic Analysis</p> <p> </p> <p><strong>Topics of Interest Include (but are not limited to):</strong></p> <ul> <li>AI for biomass yield prediction</li> <li>ML in feedstock quality assessment</li> <li>Smart sensors for biomass monitoring</li> <li>AI in feedstock variability management</li> <li>Deep learning for pyrolysis optimization</li> <li>AIin gasification process control</li> <li>Predictive modeling of bio-oil yields</li> <li>Anomaly detection in combustion systems</li> <li>AI for fermentation kinetics</li> <li>Microbial community optimization with ML</li> <li>AI in enzymatic hydrolysis pathways</li> <li>Intelligent biorefinery integration</li> <li>AI-driven biomass logistics optimization</li> <li>Predictive inventory management for biomass</li> <li>AI in biomass transport routing</li> <li>Risk assessment in biomass supply chains</li> <li>Condition monitoring with AI in bioenergy plants</li> <li>Predictive maintenance scheduling</li> <li>Anomaly detection in bioenergy facilities</li> <li>AI-enabled decision support in operations</li> <li>Digital twins for biomass processes</li> <li>AI-enhanced process simulations</li> <li>Surrogate modeling for bioresource systems</li> <li>Agent-based AI simulation of biomass flows</li> <li>AI for life cycle assessment (LCA)</li> <li>Carbon footprint prediction with ML</li> <li>AI in waste valorization</li> <li>Techno-economic modeling of AI-enabled systems</li> <li>AI for policy and regulatory analysis</li> <li>AI-driven bioenergy smart grid integration</li> </ul> <p> </p> <p><strong>Guest Editor:</strong></p> <p>Sameer Neve, PhD, EIT</p> <p>Affiliation: WSP USA &amp; HydraEarth Network, USA</p> <p>Email: <a href="mailto:ssameer.neve@gmail.com">ssameer.neve@gmail.com</a></p> <p> </p> <p>Shikha Soneji, PhD(C)</p> <p>Affiliation: Penn State University, USA</p> <p>Email: <a href="mailto:sxs7000@psu.edu">sxs7000@psu.edu</a></p> <p> </p> <p><strong>Submission Information</strong></p> <p>Submit it online: <a href="https://ojs.wiserpub.com/index.php/IBE/user/register">https://ojs.wiserpub.com/index.php/IBE/user/register</a></p> <p>Or send it to the email address: <a href="mailto:editorial-ibe@wiserpub.com">editorial-ibe@wiserpub.com</a></p> <p> </p> <p><strong>Submission Deadline</strong></p> <p><span style="font-size: 0.875rem;">June 30, 2026.</span></p> <p> </p> <p><strong>Submission Guideline</strong></p> <p><a href="https://ojs.wiserpub.com/index.php/ibe/about/submissions">https://ojs.wiserpub.com/index.php/ibe/about/submissions</a></p> <p> </p> <p>For any inquiries about this Special Issue, please contact the Editors via <a href="mailto:editorial-ibe@wiserpub.com">editorial-ibe@wiserpub.com</a></p> 2025-08-28T11:05:27+08:00