Mandeep Dhanda specializes in human-robot collaboration for Industry 5.0 applications as a Research Fellow at The Foundry Centre for Digital, Manufacturing & Design. Research focuses on integrating AI with manufacturing systems. Key interests include adaptive tool path planning, multi-axis CNC machining, and hybrid manufacturing systems combining additive and subtractive processes. Applies computational methods to manufacturing challenges. Recent publications examine human-robot interaction frameworks and Bayesian systems for additive manufacturing design assessment, reflecting Industry 5.0's human-centric focus. No scientific awards listed in provided text. Research involves developing ontologies for human-robot collaboration and computational manufacturing systems within The Foundry research group.
Dr. Naeem Mian is a Professor and Subject Area Leader in Mechanical and Automotive Engineering at the School of Computing and Engineering, University of Huddersfield. He holds a BEng in Electronic Engineering, MSc in Engineering Control Systems and Instrumentation, and a PhD in Machine Tools Thermal Finite Element Analysis (FEA). His research focuses on thermal behavior of machine tools, vibration sensors, control engineering, and sustainable technologies. He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems, and High-Performance Computing. Dr. Mian’s research explores thermal error mitigation, sensor calibration, and advanced manufacturing systems. His work contributes to UN Sustainable Development Goals via innovations in energy-efficient systems and smart materials. Recent projects include developing a 'Smart Mattress' to reduce landfill waste and improve sleep quality. His publications span thermal modeling, hybrid generators, and wearable e-textiles. Notable collaborations involve wind energy optimization, bioaerosol dispersion analysis in railways, and precision vibration sensing. He actively supervises PhD students and participates in interdisciplinary projects combining mechanical, electrical, and materials engineering.
Professor Stephen T Newman is a faculty member at the University of Bath , serving in the Department of Mechanical Engineering as the Professor of Innovative Manufacturing Technology . His research focuses on advancing manufacturing technologies through additive/subtractive hybrid systems, sustainable machining practices, and smart manufacturing frameworks. University: University of Bath Department: Mechanical Engineering Email: S.T.Newman@bath.ac.uk Research interests include: Process optimization in additive manufacturing (LDED, WA-DED) Cryogenic and hybrid cooling/lubrication techniques Industry 4.0 implementation via cloud manufacturing Machine learning applications for tool condition monitoring Sustainability in material delivery and recycling Recent publications highlight trends in smart manufacturing , energy-efficient machining , and multi-sensor process monitoring . Key subfields include laser additive systems, cryogenic lubrication mechanics, and decentralized production platforms. Current affiliations: University of Bath 4 East 2.9c, Department of Mechanical Engineering
Arnaldo Camuffo is a Full Professor of Management at Bocconi University's Department of Management & Technology. He serves as Co-Director of the ION Management Science Lab at the SDA-Bocconi School of Management and has held visiting positions at MIT's Industrial Performance Center and the University of Michigan, Dearborn. His educational background includes a Master of Science (SM) from MIT Sloan School of Management (1989) and a PhD from the University of Venice (1990). Camuffo's research focuses on strategic decision-making processes in entrepreneurial contexts, lean management systems, and modularity in product and organizational design. He also explores strategic human capital dynamics and interorganizational relationships, particularly in manufacturing industries. His work emphasizes evidence-based methodologies, including randomized control trials (RCTs), to validate management practices and entrepreneurial strategies. In 2023, his co-authored paper 'Curbing the Addition Bias: Scientific Approaches and Propensity to Subtract in Entrepreneurial Ideas Development' received the Best Empirical Paper Award from the Entrepreneurship Division at the Academy of Management Conference. This reflects his commitment to empirical research in entrepreneurship and strategic management. Teaching: 30211 LEAN MANAGEMENT 41017 STRATEGIC HUMAN RESOURCE MANAGEMENT & HUMAN CAPITAL 20869 STRATEGIC DECISION MAKING Camuffo has contributed to editorial boards of leading management journals and actively participates in scholarly community roles. His research datasets from RCTs 1-4 on entrepreneurial decision-making are publicly available for academic use.
Dr. Hoda ElMaraghy is a distinguished Professor of Industrial and Manufacturing Systems Engineering at the University of Windsor , Faculty of Engineering. She is internationally recognized for her groundbreaking contributions to manufacturing systems, particularly in the areas of Industry 4.0, smart manufacturing, and reconfigurable systems. Her research emphasizes adapting manufacturing processes to handle high product variety while maintaining efficiency and sustainability. Dr. ElMaraghy has held significant roles, including former Dean of the Faculty of Engineering, and leads the Intelligent Manufacturing Systems Centre . Her work integrates digital twins, reinforcement learning, and biomimetic approaches to solve complex manufacturing challenges. Key projects include optimizing assembly line rebalancing, thermal expansion control in plastics, and sustainable greenhouse manufacturing ecosystems. Awards & Honours: 2022: Invested in the Order of Canada 2021: Honorary Doctorate from Aalborg University 2021: Honorary Doctorate from Chalmers University 2018: Fellow of the Royal Society of Canada 2016: Fellow of the Canadian Academy of Engineering Her research also focuses on SME innovation through IIoT-driven learning factories and human capital transformation for smart manufacturing adoption. She has published extensively on digital twin applications, product platform design, and lean production systems.
Ken Ri Kim is a Senior Lecturer in Textiles at Loughborough University’s School of Design and Creative Arts. She holds a PhD in Digital Weaving and Coloration from Hong Kong Polytechnic University, an MA Textile Practice and Theory from Southampton University, and a BSc in Textiles and Clothing Design from Kyunghee University. Her research focuses on advancing woven textile coloration and design through interdisciplinary approaches combining color science, digital image processing, and smart materials. Her work addresses limitations in multicolour production and 3D form creation using experimental methods involving weave structures, digital Jacquard systems, and subtractive color theory. Key contributions include novel weaving applications and first-of-its-kind textile designs disseminated through academic journals, conferences, and international exhibitions. She has worked in the textile and fashion industry across South Korea, Hong Kong, and the UK before transitioning to academia in 2017. Research trends in her publications emphasize color system optimization, digital Jacquard innovation, and sustainable textile practices. Her work bridges traditional weaving techniques with modern digital technologies to enhance design capabilities and material aesthetics. Notable projects include gradient color deviation studies and comparative textile recycling analyses between Korea and the UK. Her lab focuses on experimental textile fabrication, with active participation in global exhibitions showcasing innovative woven art and smart materials. Collaborations with industry partners drive applied research outcomes in both commercial and academic contexts.
Svetlana Neretina is a Professor in the Department of Aerospace and Mechanical Engineering and a Concurrent Professor in the Department of Chemistry & Biochemistry at the University of Notre Dame, where she has been on faculty since 2022. She previously served as an Associate Professor at Notre Dame (2016–2022) and Assistant Professor at Temple University (2009–2016). Her research focuses on the synthesis and fabrication of noble metal nanostructures for applications in catalysis, sensing, and energy. Key interests include plasmonics, nanofabrication techniques such as nanoimprint lithography and dynamic templating, photocatalysis for green chemical synthesis, hydrogen generation, and the development of in situ monitoring tools for scalable manufacturing. Her work bridges materials science, chemistry, and mechanical engineering. Her recent publications demonstrate a strong trend in advanced nanomaterial design, including core-satellite assemblies, epitaxially aligned arrays, and functional oxide nanoshells. These works span high-impact journals like ACS Nano , Nanoscale , and Journal of Physical Chemistry C , emphasizing precision fabrication and real-world applicability in energy and sensing. NSF CAREER Award (2011) ACS Pride Merck Graduate Student Award (mentored student, 2025) Multiple Outstanding Graduate Student Teacher Awards (mentored students, 2020–2023) NDIIF Best Publication Image Award (mentored student, 2023) Regional and State Science Fair Awards for high school interns (2020, 2023) Dr. Neretina actively mentors a large group of PhD students and undergraduate researchers, many of whom have gone on to successful careers in academia and industry. Her lab, the Nanomaterial Fabrication Research Laboratory, has secured ongoing funding to support graduate researchers and develop new instrumentation. She emphasizes scalable, manufacturable approaches to nanomaterial synthesis, aligning research with industrial needs. The lab frequently collaborates with external groups, such as Professor Eric Borguet at Temple University, on plasmonic sensing applications. The Nanomaterial Fabrication Research Laboratory develops and applies innovative techniques like dynamic templating and hybrid nanoimprint templating to fabricate periodic arrays of complex nanostructures. The lab is equipped with custom-built instrumentation and supports interdisciplinary research at the intersection of materials, chemistry, and engineering.
Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.
Austin Minnich is a Professor of Mechanical Engineering and Applied Physics at the California Institute of Technology , where he has served as Division Deputy Chair for the Division of Engineering and Applied Science since 2022. He earned his B.S. from UC Berkeley (2006), M.S. and Ph.D. from MIT (2008, 2011), and joined Caltech as Assistant Professor in 2011, advancing to Professor in 2017. His research group develops nanofabrication techniques for quantum technologies and low-noise microwave amplifiers. Education: B.S., University of California, Berkeley, 2006 M.S., Massachusetts Institute of Technology, 2008 Ph.D., Massachusetts Institute of Technology, 2011 Appointments: Assistant Professor, Caltech, 2011–17 Professor, Caltech, 2017–present Division Deputy Chair, Caltech EAS, 2022–present His research focuses on quantum-limited microwave amplifiers , atomic layer etching (ALE) , and thermal laser epitaxy (TLE) for quantum materials. ALE projects aim to achieve atomic-precision subtractive manufacturing, while TLE targets ultra-pure growth of refractory quantum materials like topological semimetals. Key applications include the Next-Generation Event Horizon Telescope and superconducting quantum processors . Recent publications highlight advances in quantum simulation (2025), isotropic ALE processes (2024–2025), and noise physics in semiconductors (2023–2024). Articles span Physical Review Letters , Physical Review B , and Journal of Vacuum Science & Technology A , with sub-fields including measurement-induced phase transitions , piezoresistivity , and two-phonon scattering . His scientific achievements include the Presidential Early Career Award (2019) and Viskanta Fellow at Purdue University (2020) . He has advised numerous graduate students, including alumni now at Duke University, MIT, and industry leaders like Intel and Nvidia. The Minnich Lab at Caltech (MC 104-44) drives innovation in quantum materials processing.
Sung-Jin Park is an Adjunct Research Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign , with affiliations to the College of Engineering and the Laboratory for Optical Physics and Engineering . His career spans academic and entrepreneurial roles, including Project Professor at the University of Tokyo (2019) and Adjunct Associate Professor at UIUC (since 2007). Ph.D. in Chemistry (1999) and Postdoctoral Research in Electrical and Computer Engineering (2001) Research interests include plasma science and technology , UV/VUV radiation applications , MEMS and nanophotonics , and environmental and biomedical engineering using advanced plasma and optical systems. Article trends highlight recent work in UV-based pandemic control , MEMS-integrated plasma devices , quantum optical clocks , and biodegradable 3D printing , reflecting interdisciplinary innovation in plasma chemistry , nanophotonics , and microscale engineering . Scientific awards include: Mohammed bin Rashid Al Maktoum Global Water Award (2023, team win) Red Herring 100 Award (2009) Clean Energy Challenge Grand Prize (2014) His professional activities also encompass co-founding ventures like Cygnus Photonics and EPL Power Electronics , translating research into commercial applications. Park’s work bridges plasma physics , optical engineering , and environmental technology , with ongoing projects in UV-C antimicrobial systems and microplasma arrays .
Prof. Narendra B. Dahotre is a Regents Professor in Materials Science and Engineering at the University of North Texas (UNT) and serves as Associate Vice President for the Center for Agile & Adaptive Additive Manufacturing. He founded the Laboratory of Laser Aided Additive and Subtractive Manufacturing (LAASM), a state-of-the-art facility for advanced materials processing. Research Interests: Laser-based additive and subtractive manufacturing of metals, ceramics, and composites Microstructure evolution and thermokinetics in additive processes Corrosion and mechanical behavior of additively manufactured alloys Magnetic and functional properties of additively manufactured materials Computational modeling and machine learning for process optimization Publication Trends (2022-2025): Recent work emphasizes laser directed energy deposition and powder bed fusion for refractory metals (tungsten, tantalum) and lightweight alloys (titanium, aluminum). Key themes include defect mitigation, microstructure control, and multi-scale modeling. There is growing interest in in-situ monitoring and machine learning applications. Scientific Awards: No specific awards mentioned in the source. Advising and Grants: Information not provided. Laboratory: The LAASM lab at UNT houses multiple high-power infrared laser systems designed for efficient, precise additive and subtractive manufacturing. It supports research on advanced materials for aerospace, biomedical, and energy applications.
Dr. Mahyar Khorasani is a Senior Lecturer at the School of Engineering, RMIT University, Australia. His research focuses on additive manufacturing (AM), laser-based processes, materials engineering, and Industry 4.0 integration. He has a strong publication record in journals like International Journal of Advanced Manufacturing Technology and Rapid Prototyping Journal . Key research interests include: Process optimization in laser powder bed fusion (LPBF) and directed energy deposition (DED) Material characterization of AM alloys (e.g., Inconel 718, Ti-6Al-4V) Thermal modeling of meltpool dynamics Post-processing techniques for surface enhancement AM applications in aerospace and automotive industries His work emphasizes bridging AM with Industry 4.0 tools, including digital twin integration and process monitoring systems. He has supervised one PhD project on Multi Jet Fusion quality mapping (2025). No awards are explicitly mentioned in the provided texts. Dr. Khorasani collaborates internationally and contributes to open-access research platforms. His publications span over 24 peer-reviewed articles, books, and book chapters since 2019, with notable impact in AM process modeling and material behavior analysis.
Matthieu Rauch serves as a Professor in the Product Design and Industrial Systems Department at École Centrale Nantes, affiliated with the Research Institute in Civil and Mechanical Engineering (GeM). His work bridges advanced manufacturing research with industrial applications across aerospace, naval, and transportation sectors. His research expertise includes: Wire Arc Additive Manufacturing (WAAM) and Laser Metal Deposition process optimization Multiphysics modeling of titanium/aluminum alloy deposition Real-time process monitoring systems for arc-based DED Cost-complexity analysis frameworks comparing additive/subtractive manufacturing Tool path generation for thin-wall structures Hybrid manufacturing methodologies for large-scale components Recent publications (2021-2024) reveal consistent innovation in metallic additive manufacturing, with emphasis on thermal management, defect reduction, and industrial scalability. Key contributions include novel CTWD control models, gas-particle flow analysis for powder efficiency, and methodologies for polymer large-component fabrication. His work demonstrates strong cross-disciplinary integration between computational mechanics and production engineering. Rauch actively contributes to GeM's research ecosystem at École Centrale Nantes, focusing on translating academic advances into practical industrial solutions for complex manufacturing challenges. No information regarding student supervision, grant funding, or scientific awards was evident in the source documentation.
Philip Shields is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Bath. He specializes in semiconductor technology, particularly III-V optoelectronics and III-nitride materials. His research encompasses MOVPE growth, nanofabrication techniques including nanoimprint and electron beam lithography, and the development of core-shell LED structures from visible to ultraviolet wavelengths. His publications demonstrate advanced work in GaN-based micro-LED displays, nanorod fabrication, and lithographic patterning innovations. Recent studies focus on optimizing quantum well structures, strain management in LEDs, and novel characterization methods using cathodoluminescence. Active research projects include monolithic integration of microscale laser diodes and displacement Talbot lithography development. He leads EPSRC-funded initiatives on nano-engineered III-N semiconductors and GaAs nanowire growth on silicon substrates.
Angioletta Rita Catalano is a Fixed-term Assistant Professor at the Department of Management and Production Engineering (DIGEP), Politecnico di Torino. She actively contributes to teaching in the Master of Science in Manufacturing Technologies and Processes, Sustainable Manufacturing, and the Bachelor of Science in Production Systems. Her research focuses on sustainable manufacturing technologies, additive manufacturing, and economic-environmental performance analysis. Her work explores hybrid manufacturing processes, human-machine collaborative systems, and life-cycle implications of industrial innovations. She collaborates on courses related to biomedical and management engineering and participates in academic governance as an invited member of degree program boards. Key publication themes include economic evaluation of WAAM-subtractive manufacturing, inclusive assembly processes with reciprocal learning, and environmental impact assessments of additive technologies. Her research combines technical process optimization with sustainability metrics.
