Distributed Manufacturing Professors and Supervisors | ApplySharif

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Jeremy PruvostView profile

Professor

Nantes UniversityFrance

Jeremy Pruvost is a Professor at Polytech Nantes (University of Nantes) within the Department of Process and Bioprocess Engineering . He directs the GEPEA UMR-CNRS 6144 laboratory and the AlgoSolis UMS-CNRS 3722 platform. His research focuses on microalgae bioprocess engineering , particularly photobioreactor design, CO2 valorization, and sustainable algal biomass production for biofuels and environmental applications. Director, GEPEA UMR-CNRS 6144 (2018–present) Director, UMS AlgoSolis (2015–2019) Co-Chair, ESBES 'Microalgae Bioengineering' (2020–2020) Associate Editor, Algal Research (2019–present) Research Interests : Jeremy Pruvost specializes in photobioreactor engineering , microalgae biotechnology , and sustainable biomass production . His work addresses: Physical-biological interactions in photobioreactors Modeling for photobioreactor design and control Industrial ecology applications to microalgae Thermal regulation in extreme environments CO2 biofixation and biorefinery concepts Article Trends : His publications (over 90 peer-reviewed journals) emphasize algal bioprocess optimization , photobioreactor thermal management , and desert cultivation systems . Key contributions include modeling light-temperature interactions, developing CO2 supply strategies, and integrating photobioreactors into building facades. Education & Administration : He earned his PhD at University of Nantes (2000) and obtained Habilitation à Diriger des Recherches (2005). He has created multiple educational programs including an International Master in Microalgae Bioprocess Engineering (2017–2019) and teaching units on photobioreactors and computational fluid dynamics. Labs & Collaborations : He leads the Bioprocesses Applied to Microalgae team (2011–2018) at GEPEA, a 225-person laboratory. His research involves international collaborations through European Algal Biomass Association and EERA (European Energy Research Alliance).

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Cristian CampagnaroView profile

Associate Professor

Polytechnic University of TurinItaly

Cristian Campagnaro is an Associate Professor at the Department of Architecture and Design (DAD), Politecnico di Torino. He teaches Scenario Design, Concept Design, and Social Design, with a focus on environmental and social sustainability. His roles include Coordinator of the Politecnico University Center for Social Affairs and Degree Course Coordinator for Sustainable Design for the Food System. Scientific Director of Polito Food Design Lab (2017-) Principal Investigator for projects like ALIMENTA (2015-), ATELIER (2023-2026), and Crafting Beauty Lab (2014-) Member of Italian Design Society (2018-) His research explores intersections between co-design , food system innovation , and social inclusion , particularly for homeless populations. Topics include circular economy applications, participatory workshops with third-sector organizations, and sustainable design for reduced inequalities. Recent publications analyze co-design limitations in welfare spaces and food waste valorization, while supervising PhD candidates in food security and inclusive housing. Key projects involve partnerships with the Municipality of Turin, University of Turin, and Progetto Arca Onlus. He has coordinated action-research initiatives since 2015 to combat food poverty and urban marginalization through interdisciplinary workshops. 2025: ADI Design Index 2024 selection for Appl[e]ause food design 2023-2026: Scientific Manager for PNRR-funded projects 2015-2018: ADI DESIGN INDEX recipient for social design projects As a thesis advisor, he guides PhD candidates on topics like design for policy and equitable circular economy . His labs integrate students, policymakers, and citizens in creating systemic solutions.

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Bo WangView profile

Professor

Schloss Dagstuhl - Leibniz Center for InformaticsGermany

Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.

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Subhash C. SarinView profile

Professor

Virginia Polytechnic Institute and State UniversityUnited States

Subhash C. Sarin is the Paul T. Norton Endowed Professor at Virginia Tech's Grado Department of Industrial and Systems Engineering within the College of Engineering. His expertise spans operations research, production scheduling, applied mathematical programming, and manufacturing systems design. He holds a Ph.D. from North Carolina State University (1978), an M.S. from Kansas State University (1973), and a BSc from Delhi College of Engineering (1970). Research focuses on scheduling optimization, semiconductor manufacturing, and biomass logistics. Notable contributions include stochastic scheduling models, disassembly optimization, and primary pharmaceutical manufacturing scheduling. He has led over 40 funded projects, including USDA/DOE initiatives for biomass logistics. Recipient of numerous awards, including the IIE David F. Baker Distinguished Research Award (2015) and Virginia Tech's Alumni Award for Excellence in Graduate Advising (2013). He directs the Electronics Manufacturing Research Laboratory and serves as associate director of the Center for High Performance Manufacturing. His teaching excellence is recognized through awards like the Sporn Award (1997) and Holzman Educator Award (2000). Professional service includes editorial roles for journals like Computers and Industrial Engineering. Key projects include optimizing nuclear power plant outages and semiconductor wafer fabrication. His work integrates mathematical modeling with real-world applications in manufacturing, logistics, and sustainability.

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Paul R. ChiarotView profile

Professor

Binghamton University SUNYUnited States

Paul R. Chiarot is a Professor and Chair of the Department of Mechanical Engineering at Binghamton University, State University of New York (SUNY). He holds a BASc, MASc, and PhD in Mechanical Engineering from the University of Toronto. His research focuses on microfluidics, multiphase flows, and electrospray deposition, with applications in advanced manufacturing, biotechnology, and biomedical engineering. Research Interests: Chiarot leads the Microfluidics and Multiphase Flow Laboratory, exploring electrospray printing for electronics packaging, synthetic vesicle fabrication for membrane biology studies, and fluid mechanics of the brain. His work addresses challenges in energy, healthcare, and nanotechnology. Key areas include: Electrospray-based additive manufacturing Microfluidic platform development for asymmetric vesicles Interstitial fluid transport in brain tissues Thermal management solutions for electronics Awards and Grants: He has received the NSF CAREER Award (2016) and the SUNY Chancellor's Award for Excellence in Scholarship (2022). His research is supported by the NSF, NIH, ACS, SRC, and industry collaborators. Lab and Collaborations: The lab's interdisciplinary approach integrates fluid dynamics, materials science, and biotechnology. Recent projects include developing high-throughput vesicle production and modeling cerebral fluid dynamics. Chiarot also contributes to thermal optimization of microchannel heat sinks for data centers and high-performance computing.

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Renaud FoucartView profile

Senior Lecturer

Lancaster UniversityUnited Kingdom

Renaud Foucart is a Senior Lecturer in the Department of Economics at Lancaster University Management School (LUMS). He holds a PhD and is a Fellow of the Higher Education Academy. His research focuses on the interplay between politics and economics, particularly the organization of markets with imperfect competition and applied economic theory. He is also open to empirical and experimental research methodologies. Foucart’s work explores topics such as public good provision, group dynamics, and institutional design. He currently supervises PhD students interested in policy-relevant economic modeling and market structures. His research affiliations include the Economics Research Group, Industrial Organisation and Economic Theory Group, and Political Economy and International Trade Group at LUMS. He has conducted projects like The Acceptability of Lotteries in Allocation Problems , examining fair resource distribution mechanisms. His office is located at B26, B-Floor, Charles Carter Building, and he can be contacted via email . Foucart’s recent publications include studies on efficient public goods allocation between groups, experimental evidence on lottery acceptance, and the role of technology standards in innovation. His work bridges theoretical economic models with real-world policy applications, emphasizing practical relevance. He has received recognition through his fellowship in the Higher Education Academy, underscoring his contributions to teaching excellence.

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Alejandro Moure AbelendaView profile

Research Fellow

Lancaster UniversityUnited Kingdom

Alejandro Moure Abelenda is a Research Fellow at Lancaster University developing sustainable waste valorization technologies. His research focuses on circular economy approaches for organic residues, particularly integrating anaerobic digestate and wood ash into fertilizers. Core innovations: Ash-based digestate stabilization processes Nutrient recovery systems Chemical process modeling (Aspen Plus®) E-waste plastic microfactories Recent work (2021-2024) demonstrates three focus areas: organic waste transformation (47%), process simulation (33%), and educational applications (13%). His EPSRC Doctoral Prize research examines decentralized recycling technologies for engineering plastics. Current Projects: AKT2i project: Decentralized e-waste plastic recycling EPSRC Doctoral Prize: Digestate-ash valorization

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Rajan JagpalView profile

Researcher

University of BathUnited Kingdom

Rajan Jagpal is a Researcher in the Department of Chemical Engineering at the University of Bath, affiliated with the Centre for Integrated Materials, Processes & Structures (IMPS), The Foundry Centre for Digital Manufacturing & Design, and the Centre for Sustainable Energy Systems (SES). He holds a PhD in Automated Composite Manufacturing (2022) supervised by Prof. Evangelou, Prof. Loukaides, and Dr. Butler. His research focuses on composite materials processing, hydrogen storage technologies, UAV photogrammetry applications, and sustainable manufacturing systems. Key research contributions include optimizing non-crimp fabric preforming via magnetic clamping and Bayesian algorithms, developing freeze-cast porous composites for hydrogen storage, and advancing UAV-based manufacturing quality control. He collaborates on projects like the High Speed Microtomography initiative (2022–present) investigating carbon fabric deformation mechanisms. His work addresses UN Sustainable Development Goals related to affordable clean energy and industry innovation. He actively engages in public outreach, contributing to school engagement activities from 2018–2019. Jagpal is currently accepting doctoral students for research aligned with his expertise in advanced manufacturing and materials science.

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Vaggelis GiannikasView profile

Professor

University of BathUnited Kingdom

Vaggelis Giannikas is a Professor of Management Information, Decisions & Operations at the University of Bath, where he also serves as Director of the Centre for Smart Warehousing and Logistics Systems and Director of Studies for the MSc in Operations, Logistics, and Supply Chain Management. His research focuses on the adoption and evaluation of emerging technologies in supply chain and logistics operations, with particular emphasis on digitalization, robotics, and automation in manufacturing and warehouse environments. Giannikas holds a PhD in Operations Management and Technology from the University of Cambridge (2010–2014). His work aligns with UN Sustainable Development Goals, contributing to sustainable urban freight logistics and resilient supply chain practices. He leads multiple projects funded by Innovate UK and the Engineering and Physical Sciences Research Council (EPSRC), including Logidot AI Assistant for Enhanced AI Competency in Logistics and Made Smarter Innovation: People-Led Digitalisation. His research interests span technology implementation challenges, warehouse automation, human-robot collaboration, and dynamic inventory optimization. He actively supervises doctoral students exploring digital technologies in logistics and supply chain management. Key areas of exploration include last-mile delivery efficiency, robotic adoption in SMEs, and stochastic programming for production resilience under disruptions. Giannikas collaborates widely with industry partners, focusing on practical applications such as AMR-assisted picking systems, urban micro-fulfillment centers, and dark store operations. His work bridges academic research with real-world logistics challenges, emphasizing both technological innovation and human-centric design in digital transformation initiatives.

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Aditya KhannaView profile

Lecturer

University of QueenslandAustralia

Dr. Aditya Khanna is a Lecturer in Applied Mechanics at The University of Queensland (since 2023). His roles include affiliation with the Centre for Advanced Materials Processing and Manufacturing (AMPAM) and the School of Mechanical and Mining Engineering within the Faculty of Engineering, Architecture and Information Technology. Prior to UQ, he worked as an engineering consultant at Vipac Engineers & Scientists Ltd and held an adjunct lecturer position at the University of Adelaide. His expertise spans stress analysis, fatigue and fracture assessment, structural dynamics, vibration control, and non-destructive testing. Dr. Khanna holds a Bachelor (Honours) in Mechanical Engineering from the University of Adelaide and a Doctor of Philosophy in Mechanical Engineering from The University of Adelaide. His research interests include composite materials, dynamics, geomechanics, materials engineering, numerical modeling, and solid mechanics. He is actively involved in supervising PhD projects focusing on vibration instabilities, offshore wind-turbine failures, and chaotic flutter control in wind turbine airfoils, often as an associate advisor alongside Prof. Paul Meehan. Key research contributions include studies on crack tip opening loads, fatigue crack growth, residual stress effects, and vibration assessment guidelines. He leads funded projects such as 'Adding bite to tooth-mimicking aesthetic multilayer zirconia crowns' (NHMRC Ideas 2024) and 'Grassie Rail Research Initiative - Railway Squats/Studs'. His recent publications emphasize fracture mechanics, additive manufacturing, and material characterization under dynamic loads. Dr. Khanna is available for media inquiries on fatigue failures, stress analysis, and vibration dynamics.

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Lars KotthoffView profile

Associate Professor

University of WyomingUnited States

Lars Kotthoff is the Templeton Associate Professor and Derecho Professor at the University of Wyoming's School of Computing, Department of Electrical Engineering and Computer Science. He leads the MALLET lab, focusing on meta-algorithmics, learning, and large-scale empirical testing. His research integrates AI and machine learning to develop robust systems, particularly in algorithm selection, configuration, and automated machine learning (AutoML). He has held sabbaticals and collaborations globally, including at the University of Warsaw and NASA Ames. Awards include the Templeton Endowed Chair and Open Source Machine Learning Award. His work bridges computational mechanics, materials science, and optimization heuristics. Research interests include Bayesian optimization for materials science, automated parameter tuning, and interpretable machine learning models. Key projects include optimizing laser-induced graphene production and developing the mlr3 framework. Grants include NASA EPSCoR funding for in-space manufacturing and a Microsoft grant for biomedical imaging. He advises graduate and undergraduate students, mentors Google Summer of Code projects, and organizes workshops/conferences like COSEAL and Dagstuhl seminars. Publications span automated algorithm design, performance benchmarking, and interdisciplinary applications. His work emphasizes making machine learning accessible to non-experts through tools like Auto-WEKA and the mlr3 ecosystem. Current projects include NASA-funded advanced electronics manufacturing and collaborations with institutions worldwide.

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Ali GholiniaView profile

Research Fellow

The University of ManchesterUnited Kingdom

Dr. Ali Gholinia is a Research Fellow in the Department of Materials at The University of Manchester. He holds a PhD in Materials Science from the University of Manchester (1994), an MSc from the same institution (1992), and a BSc from Middle East Technical University (1988). His expertise spans over 20 years in electron microscopy, Focused Ion Beam (FIB), and Electron Backscatter Diffraction (EBSD), with a focus on 3D microstructure characterization, in-situ mechanical testing, and correlative imaging techniques. His work bridges X-ray tomography and serial sectioning in SEM, emphasizing material microstructure-property linkages. Education: PhD, Materials Science, The University of Manchester (1994) MSc, Materials Science, The University of Manchester (1992) BSc, Middle East Technical University (1988) Research Interests: EBSD and FIB-based 3D microstructure analysis In-situ tensile deformation in SEM Correlative tomography (XCT and FIB-SEM) Advanced materials characterization for energy and aerospace applications Articles Trends: Recent work emphasizes 3D microstructure reconstruction in polycrystalline solar cells, additive manufacturing microstructure analysis, and hydride characterization in Zr alloys. His publications frequently integrate advanced imaging techniques like fs-laser ablation and tri-beam microscopy. Awards: None explicitly stated. Advising & Grants: Currently accepting PhD students. His lab, 'Imaging and Characterisation Group,' focuses on cutting-edge materials analysis tools and methodologies. Labs/Teams: Lead the Imaging and Characterisation Group within the Department of Materials, specializing in correlative microscopy and 3D microstructure analysis.

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Lucas OsbornView profile

Professor

Campbell UniversityUnited States

Lucas Osborn serves as Professor and founder/director of the Intellectual Property Law Program at Campbell University’s Norman Adrian Wiggins School of Law, while maintaining an active practice as Of Counsel at Michael Best & Friedrich LLP specializing in IP litigation, prosecution, and licensing for digital technologies including 3D printing, software, and chemical engineering applications. Education: Harvard Law School, Juris Doctor (J.D.), 2004 Texas A&M University, Bachelor of Science (B.S.), summa cum laude, 2000; Chemical Engineering Research Interests: Professor Osborn’s scholarship critically examines intellectual property law’s adaptation to technological disruption, with concentrated expertise in patent law and the legal implications of 3D printing/digital manufacturing. His work analyzes copyright authorship in AI-generated content, trademark protection for virtual goods, and regulatory frameworks for emerging technologies. The Cambridge University Press publication 3D Printing and Intellectual Property (2019) established foundational analysis for this rapidly evolving field. Analysis of his 15 most recent publications reveals three dominant trends: (1) doctrinal challenges in applying traditional IP frameworks to digital fabrication, (2) boundary expansions for trademark protection in virtual environments, and (3) policy proposals for balancing innovation incentives against public access in the digital age. His scholarship consistently bridges theoretical legal analysis with practical industry implications. Awards and Honors: Campbell University’s D. P. Russ, Jr. and Walter S. Jones, Sr. Alumni Award for Research Excellence (2016) Campbell University’s Law Dean’s Excellence in Research Award (2014) The Best Lawyers in America©, Litigation – Patent (2024–Present) Professor Osborn leads law students on annual Panama “Study & Service” trips combining legal education with community development, demonstrating his commitment to experiential learning. His research impact is evidenced by citations in major publications including Wall Street Journal and Bloomberg News, along with his influential four-year appointment (2014-2019) to the Organisation for the Prohibition of Chemical Weapons Confidentiality Commission. As director of Campbell’s Intellectual Property Law Program, he has cultivated an interdisciplinary academic environment connecting law students with industry professionals through specialized coursework, guest lectures from patent practitioners, and technology-focused moot court competitions addressing contemporary IP dilemmas.

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Christof MenzelView profile

Professor

Hochschule Niederrhein University of Applied SciencesGermany

Prof. Dr. Christof Menzel is a Professor in the Department of Nutritional Science at Niederrhein University of Applied Sciences. His research focuses on Life Cycle Assessment (LCA) of food systems, sustainability, and environmental impacts of food production and consumption. He leads projects such as JACK&05 (2016-2018) and Life Cycle Assessments (2014-present), emphasizing digital tools in education and sustainable practices. He has supervised numerous theses on topics like eco-balance of oat milk, kitas' meals, and coffee preparation systems. Awards include the Wissenschaftspreis 2023 and Nachwuchspreis 2021. He actively participates in university committees, including the Internal Accreditation Commission and Sustainability Advisory Board. Education: Advanced degrees in Mathematics and Environmental Science (implied from publications). Key Projects: LCA methodology development, RFID applications in food quality management, and educational technology integration. Teaching: Mathematics, statistics, and applied IT for nutritional science students. Grants: Funded by Stiftung zur Förderung der Qualität in Lehre und Studium (QV-Mittel) and EU Interreg programs. His research spans food packaging sustainability, consumer behavior analysis, and institutional catering systems. Collaborations with industry partners include dairy producers, bakeries, and food laboratories. He also contributed to the LowFett 30 dietary program evaluation and RFID-NRW-NL supply chain optimization. Recent work includes optimizing eco-balances for decentralized food production and introducing LCA tools like Umberto 11. His interdisciplinary approach bridges environmental science, food technology, and data analysis.

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Jessica OlivaresView profile

Assistant Professor

Cape Breton UniversityCanada

Jessica Olivares is an Assistant Professor of Supply Chain Management at the Shannon School of Business, Cape Breton University. Her expertise spans supply chain resilience, digital twins, and Industry 5.0, with a focus on mitigating disruptions in global networks. Dr. Olivares contributes to both academic research and practical solutions for sustainable supply chain management. Her academic credentials include: B.S. in Industrial Engineering, University of the Americas Puebla (UDLAP), Mexico M.S. in Industrial Engineering, University of the Americas Puebla (UDLAP), Mexico Ph.D. in Industrial and Manufacturing Systems Engineering, University of Windsor, Canada Dr. Olivares' research centers on supply chain management, with specific interests in disruption recovery, digital twin applications, and sustainable design. She explores how Industry 5.0 principles can humanize smart manufacturing while enhancing resilience. Her work addresses critical gaps in perishable food supply chains and resource distribution during crises, integrating risk assessment with technological innovation to build robust systems. Her recent publications (2021-2025) show a strong emphasis on digital twins for supply chain resilience, with increasing attention to sustainability and multi-objective optimization. She has pioneered frameworks for recovery from major disruptions, including pandemic impacts, and investigates energy-aware scheduling in manufacturing. Her scholarship bridges theoretical models with real-world applications in food systems and global networks. No scientific awards were documented in the available sources. Information on graduate student supervision and research funding was not provided, though her active publication record suggests engagement in scholarly mentorship and potential grant-supported projects. No details about laboratories or research teams were mentioned.

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