Find Academic Supervisors

• Fluid Dynamics
• Rheology
• Multiphase Systems
• +6 more

Mostafa Barigou is a Professor of Chemical Engineering and Head of Postgraduate Studies (Research) at the School of Chemical Engineering, University of Birmingham. He holds a BEng (1st Class Honours) in Mechanical Engineering (1982), PhD in Chemical Engineering (1987), and DSc in Experimental and theoretical studies of complex flows and complex fluids (2011). His research focuses on fluid dynamics, rheology, and transport processes in complex fluids, leveraging advanced techniques like Positron Emission Particle Tracking (PEPT), CFD, and PIV. Professor Barigou has supervised over 20 PhD students and 10 postdoctoral researchers, contributing to industries such as food processing, pharmaceuticals, and metallurgy. His work has been funded by UK Research Councils and industry partners like Procter & Gamble, Nestlé, and Johnson Matthey. He is a Fellow of the Institution of Mechanical Engineers (FIMechE) and a Chartered Engineer (CEng). Research interests include: complex fluid dynamics, multiphase systems, foam and emulsion stability, and CFD modeling. His lab uses PEPT to study opaque systems, developing novel insights into mixing and flow dynamics. Collaborations span biomedical engineering (e.g., blood flow studies) and food engineering (e.g., mycoprotein pastes). Awards include the Elijah-Hepworth Memorial Prize (1982) and leadership roles in EPSRC grants. He edits journals like the International Journal of Food Properties and serves on national/international committees for chemical engineering and food engineering.

László LengyelView profile

Professor

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +7 more

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

• Production Systems Optimization
• Flow Simulation
• Energy-Efficient Optimization
• +5 more

Abdelkader Mekhalef Benhafssa serves as a Teacher-Researcher at CESI Engineering School within the Engineering and Digital Tools research team. His work spans industrial engineering, robotics, and sustainable manufacturing systems. Education: Doctorate in Electrical Engineering (2017) Master's degree in Electrical Engineering specializing in Electrical Networks and High Voltage Techniques (2013) His research focuses on optimizing production systems through multi-agent simulations, human-robot collaboration in Industry 5.0 contexts, and energy-efficient manufacturing. Key areas include flow simulation, autonomous vehicle scheduling in logistics, and electrostatic separation techniques for plastic waste recycling. His experimental work examines tribocharging mechanisms and particle behavior in recycling processes. Publications reveal a strong trend toward human-centric manufacturing systems, with recent work (2023-2025) emphasizing collision avoidance algorithms, dynamic scheduling for autonomous vehicles, and energy-conscious production planning. Earlier research (2014-2018) established expertise in electrostatic separation for plastic waste recycling. Supervision & Projects: Supervised Kader Sanogo's 2024 thesis on optimizing transport tasks for collaborative robots in Industry 5.0 Currently supervising Nesrine Hebbadj's research (2024-2027) on human-centered production planning Leading DYNALOG project (2025-2027) on robotic intra-logistics systems His work integrates industrial engineering with environmental sustainability, particularly through advanced recycling technologies for plastic waste and energy-efficient production systems.

Federica Marone WelfordView profile

Researcher

• X-ray Tomography
• Seismology
• Tomographic Reconstruction
• +7 more

Federica Marone Welford is a Beamline Scientist at the TOMCAT beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institute (PSI) . She holds an Earth Sciences degree with a focus on seismology and a PhD in seismology from ETH Zurich , following a postdoctoral fellowship at the Berkeley Seismological Laboratory . Her work centers on advancing tomographic reconstruction algorithms, mitigating artifacts, and optimizing computational infrastructure for high-speed X-ray imaging at the TOMCAT beamline. Research Focus: X-ray tomography methodology, data compression, real-time reconstruction systems, and applications in paleontology, earth sciences, additive manufacturing, and energy research. Collaborations: Engages with global researchers and industry partners, particularly in battery/fuel cell analysis and laser powder bed fusion. Teaching: Lectures at ETH Zurich on X-ray imaging techniques. Publications highlight her contributions to X-ray scattering tensor tomography, dynamic process visualization, and computational advancements in imaging systems.

• Computational Fluid Dynamics
• Fluid Dynamics
• Heat Transfer
• +4 more

David Fletcher is an Adjunct Professor at the University of Sydney's School of Chemical and Biomolecular Engineering. He holds a BSc and PhD in Mathematics from the University of Exeter (UK) and a Habilitation à Diriger des Recherches (HDR) from the Institut National Polytechnique de Toulouse (France). His expertise spans computational fluid dynamics (CFD), fluid-structure interaction (FSI), and multiphase flow modeling with applications in biomedical systems, pharmaceutical inhalers, and chemical engineering. Education: BSc Mathematics, University of Exeter (1979) PhD, University of Exeter (1982) HDR in Chemical Engineering, Université de Toulouse (2002) Research Interests: Coupled systems simulation (e.g., combustion, micro-flows, biomedical applications) CFD education and software development Bioinspired heart valve design for pediatric use PFAS degradation via CFD-optimized reactors Key Projects: Polymeric heart valve design collaboration with Cincinnati Children’s Hospital CFD modeling of pharmaceutical inhalers with Macquarie University Bubble column optimization for energy-efficient bioreactors Awards: Recognized among the Top 2% of global researchers in 2019, 2021, and 2023 (PLOS Biology ranking). International Collaborations: France (INP Toulouse), Malaysia (Universiti Malaysia Pahang), UK (University of Birmingham), USA (Ann & Robert H. Lurie Children’s Hospital). Students: Supervised PhD graduates now in academia (China, Saudi Arabia) and industry (Australia, India).

• Aerosol Science
• Particle Science & Technology
• Nanoparticle Synthesis
• +13 more

Chris Hogan is a Professor and Head of the Department of Mechanical Engineering at the University of Minnesota, College of Science and Engineering. He leads the Advanced Technologies for Preservation of Biological Systems (ATP-BIO) research group and is actively involved in multiple high-impact research projects related to aerosol science, particle technology, and environmental health. He is accepting PhD students and maintains a robust research portfolio. Education: PhD, Washington University in St. Louis (2008) BS, Cornell University (2004) Postdoctoral Associate, Yale University (2008–2009) His research focuses on aerosol science , particle dynamics , and nanomaterial synthesis , with applications in bioaerosol detection , cryopreservation , and airborne virus mitigation . His work integrates experimental techniques with mathematical modeling to solve complex engineering challenges in health and sustainability. He has made significant contributions to ion mobility spectrometry, electrostatic precipitation, and sustainable carbon nanotube synthesis. His recent publications reflect a strong trend toward interdisciplinary research, particularly at the intersection of mechanical engineering, environmental science, and biomedical applications. Key themes include particle transport modeling, nanoparticle diagnostics, cryoprotectant delivery, and the development of eco-friendly bioproducts. His articles span high-impact journals and conferences in engineering, environmental health, and materials science. Scientific Awards: Japan Society for the Promotion of Science Short Term Faculty Fellow (2011) McKnight Land-Grant Professorship (2011) Sheldon K. Friedlander Award (2011) Smoluchowski Award (2013) Kenneth T. Whitby Award (2018) Dr. Hogan has secured substantial research funding from NSF, NIH, 3M, and industry partners. He serves as Principal Investigator (PI) or Co-Investigator (CoI) on numerous active grants, including projects on identifying infectious aerosols, biodegradable sunscreen development, and sustainable nanomaterial synthesis. He advises graduate students and collaborates widely across disciplines. His lab, ATP-BIO, focuses on advancing technologies for preserving biological systems through innovative particle and aerosol engineering.

• Organic Chemistry
• Green & Sustainable Chemistry
• Process Chemistry
• +4 more

Marti Roger is an Ordentlicher Professor (Full Professor) of Organic Chemistry and Process Chemistry at the University of Applied Sciences and Arts Western Switzerland (HES-SO), specifically at the Haute école d'ingénierie et d'architecture de Fribourg (HEIA-FR). He is a member of the ChemTech Institute of Chemical Technologies and holds a leadership role in research and education in sustainable chemistry. His academic career includes positions at ZHAW Winterthur/Wädenswil (2004–2009) and HEIA-FR since 2009. Education: B.Sc. in Chemistry from Technikum Winterthur and ETH Zurich, followed by a Ph.D. under Prof. Dr. D. Seebach at ETH Zurich. Postdoctoral research at Sandoz Pharma USA and industrial experience at Carbogen AG in pharmaceutical development and scale-up. Research focuses on synthetic organic chemistry, green chemistry, process development, and polymer science. Key projects include biodegradable facemasks (Public Mask project), smart hydrogels for tissue engineering, and sustainable biofuels from PHA. He leads or collaborates in HES-SO-funded projects addressing environmental challenges in materials and energy sectors. Teaching responsibilities include B.Sc. courses in organic chemistry (aromatic compounds, carboxylic acids, organometallic reactions) and M.Sc. courses in process chemistry and polymer applications. He emphasizes flow chemistry education and sustainable process design. Notable achievements include scaling up diformylxylose production from biomass, designing mini-CSTR reactors for oxidation reactions, and developing biodegradable polymers for medical use. His work balances academic innovation with industrial relevance, guided by life-cycle assessments for environmental impact minimization. Labs/Teams: Active in ChemTech Institute and collaborates with partners like Hepia, iTEC, and VS-Instituts. Projects span from bio-based materials to CO2-neutral fuels and eco-concretes.

• Additive Manufacturing
• Laser Metal Deposition
• Process Monitoring
• +3 more

Marco Mazzarisi serves as an Assistant Professor in the Department of Mechanics, Mathematics and Management at the Polytechnic University of Bari, Italy, specializing in Manufacturing Technology and Systems (ING-IND/16 classification). Based at Via Orabona 4, 70125 Bari, he can be contacted via marco.mazzarisi@poliba.it or the departmental line +39 080 596 3522. His research centers on laser-based additive manufacturing processes, with primary expertise in Laser Metal Deposition (LMD) and Directed Energy Deposition. Key investigation areas include real-time process monitoring using coaxial infrared systems and off-axis optical techniques, defect detection (particularly subsurface voids), melt pool dynamics analysis, and sustainability assessment through exergetic analysis. His work focuses on nickel-based superalloys (Inconel 718) and stainless steels (AISI 316L), addressing critical challenges in geometric accuracy, energy consumption, and material compatibility in hybrid manufacturing. Analysis of his 2020-2025 publications reveals consistent innovation in LMD monitoring methodologies. His research demonstrates strong interdisciplinary integration between thermal physics, optical engineering, and sustainable manufacturing principles. Notable contributions include the development of off-axis monitoring frameworks, causal models for void prediction, and exergy-based sustainability metrics that bridge process quality with environmental impact assessment. Scientific awards: No awards, fellowships, or medals are documented in the provided materials. Advising and grants: No information regarding graduate student supervision, research grants, or funding sources is provided in the source text. Laboratory facilities: The text does not specify any dedicated laboratories, research teams, or collaborative groups associated with Dr. Mazzarisi's work.

Jouni RitvanenView profile

Professor

• Gas-Solid Flow Modeling
• Fluidized Bed Reactors
• Carbon Capture and Storage
• +5 more

Jouni Ritvanen is a Full Professor (tenured) at LUT University's School of Energy Systems in Lappeenranta, Finland. His research focuses on gas-solid flow modeling, particularly fluidized bed applications and carbon capture technologies. He has developed a dynamic 1D tool suitable for fluidized bed applications that includes all key phenomena related to flow, reactions, and heat transfer, which has been widely applied to carbon capture and storage processes. His educational background includes: Doctor of Science (Technology) in Energy and Environmental Technology from Lappeenranta University of Technology (2006) Master of Science (Technology) in Energy from Lappeenranta University of Technology (2001) Title of docent in LUT Energy (2016-present) Ritvanen's research interests center around gas-solid flow modeling with particular emphasis on fluidized beds and related applications. His expertise includes developing dynamic modeling tools for fluidized bed applications that incorporate flow, reactions, and heat transfer phenomena. His work has significant applications in carbon capture and storage processes, where his models are used for performance evaluation. He also explores the integration of artificial intelligence techniques in energy systems optimization and has contributed to various aspects of clean energy technologies including chemical looping combustion and sorption-enhanced gasification. His recent publications (2023-2025) demonstrate a continued focus on advancing fluidized bed technologies, particularly in carbon capture applications through calcium looping processes. There's a notable trend toward integrating artificial intelligence methods with traditional engineering approaches, as seen in his work on deep learning-based electricity price forecasting and AI applications for reducing energy costs in carbon capture plants. His research bridges theoretical modeling with practical industrial applications, addressing key challenges in clean energy transition. Professor Ritvanen has served as a peer reviewer for numerous prestigious journals including Chemical Engineering Journal, Energy, Fuel, and Powder Technology, demonstrating his standing in the academic community.

• Pharmaceutical Process Analytical Technology
• Freeze-Drying Process Development
• Process Analytical Technologies (PAT)
• +9 more

Professor Geoff Smith is a leading academic in Pharmaceutical Process Analytical Technology at De Montfort University, affiliated with the Leicester School of Pharmacy and the Pharmaceutical Technologies research group. He holds a PhD from the University of Brighton and a BPharm from the University of Bath, and has been instrumental in advancing freeze-drying and process analytical technologies. His research expertise lies in developing and applying novel sensing technologies for pharmaceutical manufacturing. Key areas include freeze-drying process development, impedance and dielectric spectroscopy, terahertz imaging, dynamic laser speckle, and electrostatic measurements for powder flow analysis. His work is strongly industry-oriented, focusing on enhancing process understanding and control through real-time, non-invasive monitoring. The recent publications highlight a strong trend in the application of Through-Vial Impedance Spectroscopy (TVIS) for lyophilization process optimization. Research spans from fundamental studies on ice nucleation and glass transition to practical applications in micro-collapse detection, heat transfer coefficient calculation, and container compatibility. There is also significant work on terahertz-based characterization of crystallinity and microneedle penetration, indicating a broader interest in advanced spectroscopic and imaging techniques for pharmaceutical quality assurance. Scientific Awards and Recognition: While specific awards are not listed in the provided text, his extensive publication record, multiple patents, and leadership in Innovate UK-funded projects reflect high recognition in his field. Professor Smith has successfully secured substantial research funding from Innovate UK and the Technology Strategy Board, including grants such as EXTALcoat, FastLyo, AtlasBio, BioStaRT, and LyoDEA, involving collaborations with industry leaders like GEA, AstraZeneca, and Sanofi. He has supervised numerous PhD projects and plays a key role in teaching Pharmaceutical Quality by Design and Good Manufacturing Practice. He leads the Pharmaceutical Technologies group, which he restructured to include chemists, physicists, and engineers, fostering a multidisciplinary approach to solving current pharmaceutical challenges. Laboratories and Research Groups: He leads the Pharmaceutical Technologies research group at DMU, which focuses on developing and applying advanced analytical techniques like TVIS, terahertz spectroscopy, and laser speckle imaging for pharmaceutical process understanding and control. The group operates at the intersection of pharmaceutical science, engineering, and material science, with a strong emphasis on industrial collaboration and technology transfer.

• Fracture Mechanics
• Materials Science
• Polymers
• +5 more

Dr. Alojz Ivankovic is a Full Professor of Mechanics of Materials at the School of Mechanical and Materials Engineering , University College Dublin (UCD). He also serves as a Visiting Professor at Imperial College London and has held leadership roles such as Head of Mechanical Engineering Programs at UCD since 2012. His research group focuses on advanced materials science, fracture mechanics, and additive manufacturing, supported by over €25M in research funding. Educational Background: MEngSc from the University of Sarajevo and PhD from Imperial College London. Research Interests: Process-structure-property relationships in materials, fracture behavior of polymers and composites, adhesion science, and biomechanics of atherosclerosis. His work bridges computational modeling (e.g., finite volume methods) with experimental validation. Recent Achievements: Awards include the Fellowship of Wessex Institute (2004) and Royal Academy of Engineering Travel Grant (2001). He leads the UCD Centre of Adhesion and Adhesives and collaborates with industry partners like Atlas Copco and BP Chemicals. Grants & Funding: Over €27M in research funding since 2004, including a €2.5M SFI grant for drag reduction studies. Current grants focus on floating offshore wind cables and sustainable composites. Teaching: Coordinates modules in Computational Continuum Mechanics and supervises PhD/MSc students. His group includes 5 MSc, 7 PhD students, and 4 PostDocs. Publications: Over 346 publications, including 109 journals and 232 conference papers. Recent work addresses diamond powder mechanics, piezoelectric composites, and aerodynamic drag reduction.

Mohammed ShafaeView profile

Assistant Professor

• Cyber-physical systems security
• Smart manufacturing systems
• Statistical process monitoring
• +7 more

Mohammed Shafae is an Assistant Professor in the Department of Systems and Industrial Engineering at the University of Arizona, where he has been serving since 2018. He is also a member of the Graduate Faculty, contributing to advanced research and mentorship in engineering disciplines. Education: PhD in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Production Engineering, Alexandria University, Alexandria, Egypt BS in Production Engineering, Alexandria University, Alexandria, Egypt His research centers on cyber-physical systems security , smart manufacturing systems , and data-driven quality control , with a strong emphasis on leveraging manufacturing data for process monitoring, modeling, and securing machining and additive manufacturing systems. His work integrates statistical process monitoring, machine learning, and advanced metrology to enhance manufacturing resilience and efficiency. His recent publications (2022–2025) reflect a clear trend toward securing Industry 4.0 systems, with a focus on digital twin security, attack detection in machining, and anomaly detection in additive manufacturing using photodiode and thermal data. He also explores futuristic applications such as in-situ lunar manufacturing using regolith-based materials. Scientific Awards: First Place in the ASCEND Propel Pitch Competition (AIAA, Fall 2020) Virginia Tech Teaching Excellence Award (Spring 2017) Harold Schneikert Graduate Fellowship (Spring 2016) David H. Burrows Graduate Fellowship (Fall 2015) Best Track Paper Award (IEOM 2012) Prize for Excellence in Senior Design Project (Cairo, 2009) Dr. Shafae actively mentors graduate students, co-authoring numerous publications with advisees in areas such as cybersecurity, additive manufacturing, and process monitoring. While specific grant details are not listed, his research is clearly funded through competitive fellowships and likely external grants given the volume and quality of his outputs. He has no listed labs or teams in the provided text, but his collaborative work suggests active participation in research groups focused on smart manufacturing and cybersecurity.

Wolfgang H. SachseView profile

Professor

• Ultrasonic Waves
• Non-Destructive Testing
• Solid Mechanics
• +6 more

Wolfgang H. Sachse is a Professor at Cornell University's College of Engineering, specializing in ultrasonic wave applications for materials characterization. He contributes to the graduate fields of Mechanical Engineering, Theoretical and Applied Mechanics, and Materials Science and Engineering, with visiting roles at NIST and the University of Tokyo. B.S. in Physics from Penn State University M.S.E. and Ph.D. in Mechanics and Materials from Johns Hopkins University His research pioneered active/passive ultrasonic techniques for flaw detection, dynamic fracture analysis, and stress measurement in metals. Early work on laser-spark-X-ray ultrasound generation and point-source/point-receiver methods advanced anisotropic material characterization. Recent innovations include air-coupled ultrasonics for powders and acoustic microscopy of bio-materials. Collaborating with Igor Grabec, he developed intelligent measurement systems described in their Springer-Verlag monograph Synergetics of Measurement, Prediction and Control (1997). His publications span geophysical acoustics (2015), transducer calibration (2015), crystal wave phenomena (2013), and conference proceedings (2008-2010), reflecting interdisciplinary impacts across Acoustics, Materials Science, and Physics. The Golden Whistle (2013) - International Congress on Ultrasonics' highest award German Academic Exchange Fellow Humboldt Fellow Editor-in-Chief of Ultrasonics (Elsevier) Former Editor-in-Chief of Materials Evaluation As an educator, he developed Cornell's acclaimed ENGRI 118 Design Integration course and teaches Mechanics of Solids (250+ students) and Mechanical Properties Laboratory (140+ students). His laboratory innovations include two patents for advanced acoustic measurement systems.

Wangzhong MuView profile

Senior Lecturer

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +3 more

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Jiling FengView profile

Senior Lecturer

• Fluid Mechanics in Cardiovascular Systems
• Biomedical Engineering
• Arterial Waveform Analysis
• +3 more

Dr. Jiling Feng is a Senior Lecturer in Mechanical Engineering at Manchester Metropolitan University, specializing in fluid mechanics applied to cardiovascular systems and biomedical engineering. Her research focuses on arterial waveform analysis, stent design, and material science for vascular disease treatment, supported by over £1.1 million in grants from EPSRC, UKRI, and Royal Society. She holds a BEng, MSc, PhD, and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy (FHEA). Education: BEng, MSc, PhD Professional Memberships: IMechE, IEEE, British Atherosclerosis Society Research interests include computational modeling of cardiovascular mechanics, fluid-structure interaction in arteries, and biomaterials for medical devices. She has authored over 40 peer-reviewed articles in top journals like Biomechanics and Modelling in Mechanobiology and serves on editorial boards for Mathematics and Frontiers in Biophysics . Recent projects include a KTP collaboration with Krohne (£235,000) and a Royal Society grant with Beijing University of Technology (£11,600). She supervises PhD and MSc projects on plaque mechanics and arterial waveforms. Labs/Teams: Active in vascular mechanics research groups, collaborating with vascular surgeons and industry partners.