جست‌وجوی استاد و پژوهشگر

Alexandru Pascuمشاهده پروفایل

استاد

• Laser Processing of Materials
• Laser Cladding
• Welding of Advanced Materials
• +۳ مورد دیگر

Professor Alexandru Pascu is affiliated with the Department of Materials Science and Welding at the University of Brașov's Faculty of Materials Science and Engineering. His research focuses on advanced materials processing techniques, particularly laser cladding, laser welding, and characterization of metallic materials. His work emphasizes developing functional coatings, improving material durability through composite materials, and exploring solar-assisted synthesis methods for nanomaterials. Key research interests include: Laser processing of advanced materials Welding of dissimilar materials Development of corrosion-resistant coatings Functional surface engineering Material characterization using microstructural and mechanical analysis His publications highlight innovations in laser cladding of Ni-based composites, solar synthesis of carbonaceous materials, and biomedical applications of hydroxyapatite coatings. Recent trends in his work address energy-efficient materials processing and sustainable manufacturing techniques. He has contributed to international collaborations on engineering education and industrial applications of laser technologies, reflecting his commitment to bridging academic research with practical industrial solutions.

Cătălin CROITORUمشاهده پروفایل

استاد

• Polymer Materials
• Composite Materials
• Recycling Technologies
• +۴ مورد دیگر

Professor Cătălin CROITORU is affiliated with the Department of Materials Engineering and Welding at the Faculty of Materials Science and Engineering , Technical University of Brașov. His research focuses on advanced materials science, including polymer composites, functional coatings, and photocatalytic materials. Research interests include: Polymer and composite materials synthesis Recycling technologies for sustainable materials Functional coatings and thin film characterization Photocatalytic and corrosion-resistant surface engineering Material physical/chemical analysis Recent publications highlight advancements in thin film deposition, hydrogel blends for controlled release, photocatalytic titanium surfaces, 3D-printed polymer structures, and wood-plastic composites. No scientific awards or grants are explicitly listed in the provided information. Advising activities are not detailed here. He is based at Universității no. 1 Street, Brașov, in Building G, Room GI23.

Elena-Manuela STANCIUمشاهده پروفایل

استاد

• Laser Processing
• Laser Welding
• Materials Science
• +۳ مورد دیگر

Elena-Manuela STANCIU is a Professor at the Department of Materials Science and Welding, Faculty of Materials Science and Engineering, Technical University of Brașov. Her research focuses on advanced materials processing techniques such as laser welding, laser cladding, and surface functionalization. She specializes in improving material properties through laser-based methods, particularly in the context of corrosion resistance, wear enhancement, and biomedical applications. Her work includes developing protective coatings for fuel cells, analyzing dissimilar material welding, and enhancing the performance of steels and composites. She has contributed to studies on solar synthesis of carbon materials and the electrochemical behavior of titanium-doped coatings. Her research bridges fundamental materials science with industrial applications, emphasizing practical solutions for manufacturing and energy sectors. Publications highlight her expertise in laser processing, with a focus on nickel-based alloys, titanium additives, and surface engineering. Her articles address topics such as coating durability, microstructural analysis, and the optimization of laser parameters for industrial welding and cladding processes. Despite the extensive list of publications, no academic awards or grants are explicitly mentioned in the provided texts.

Roxana MOLDOVANمشاهده پروفایل

مدرس

• Advanced materials
• Advanced laser welding technologies
• Texturing and nano texturing

Roxana MOLDOVAN is a Lecturer at the Department of Materials Engineering and Welding, Faculty of Materials Science and Engineering, Transilvania University of Brașov. Her office is located in Building GI20 at St. Universității, No 1, Brașov, Romania. Her research focuses on advanced materials processing, particularly laser-based technologies. Her primary research interests include: Advanced materials : Investigation of novel material properties and applications. Advanced laser welding technologies : Optimization of laser parameters for joining metals. Texturing and nano texturing : Surface modification to enhance functional properties like wettability and durability. Recent publications (2020-2022) predominantly explore laser processing of stainless steels (AISI 316/430), covering surface texturing, microstructuring, welding, and morphology analysis. Earlier work (2017) addresses challenges in joining dissimilar materials like metals and polymers. Research outputs consistently align with materials science, surface engineering, and manufacturing disciplines. No awards, student advisements, grants, or lab affiliations were documented in the available information.

Krishnan K. Sankaranمشاهده پروفایل

استاد مدعو

• Aerospace Materials
• Metallurgy
• Welding Technology
• +۲ مورد دیگر

Krishnan K. Sankaran serves as an Adjunct Professor in Materials Science and Engineering at the University of North Texas. His primary career spanned 36 years at Boeing and McDonnell Douglas, where he advanced to Senior Technical Fellow—Boeing's highest technical honor. His expertise centers on aerospace materials and processes, including alloy development, welding metallurgy, and materials selection for aircraft design, manufacturing, and sustainment. He maintains collaborations with UNT faculty on alloy/process development projects. Professional honors include: James B. Eads Award from Academy of Science of St. Louis Fellow, Academy of Science of St. Louis Honorary Member of Indian Institute of Metals (limited to 100 living members) Professor Sankaran has held adjunct positions at Missouri University of Science & Technology (2009-2011) and Washington University in St. Louis (1991-1998). He designed and taught graduate courses in physical metallurgy and holds four U.S. patents.

• Modern Methods of Construction
• Modular Construction
• Structural Steel Engineering
• +۹ مورد دیگر

Associate Professor Daniel McCrum is a faculty member at the School of Civil Engineering, University College Dublin (UCD). He holds a PhD from Trinity College Dublin and has held academic positions at Queen's University Belfast and UCD. His research focuses on modern methods of construction, structural steel, resilience of infrastructure, and cyber-physical threats. He leads the Modern Methods of Construction Research Group (MMCRG) and is involved in projects like Construct Innovate and the Horizon 2020-funded PRECINCT initiative. Education: BEng (1st class) from Trinity College Dublin (2005), MSc in Structural Engineering (2006, University of Glasgow), PhD in Civil Engineering (Trinity College Dublin, 2008). Research interests include modular construction, cold-formed steel design, bridge aerodynamics, and critical infrastructure resilience. He has supervised over 15 postgraduate researchers and led numerous funded projects including EU-funded research on construction standards and predictive modeling tools. Awards include the 2022 Teaching Excellence Award and the 2016 Fulbright Scholarship. Professional roles include Programme Director for Civil Engineering programs at UCD, Head of Teaching and Learning (2019–2020), and member of Construct Innovate's Centre Executive Management Committee. He is a Chartered Structural Engineer with the Institution of Structural Engineers and an active peer reviewer for journals like Engineering Structures and Structure and Infrastructure Engineering. Key contributions include advancing CFS structural analysis, developing robustness frameworks for cyber-physical infrastructure, and aerodynamic studies on long-span bridges like the Queensferry Crossing. His work integrates computational methods with experimental testing to address challenges in construction safety and disaster resilience.

Ruimin Chenمشاهده پروفایل

استادیار

• Data Analytics
• Statistical Learning
• Uncertainty Quantification
• +۴ مورد دیگر

Ruimin Chen is an Assistant Professor in the Department of Mechanical Engineering at the University of Connecticut (UConn), joining in August 2022. She holds a Ph.D. in Industrial Engineering from The Pennsylvania State University (2021), dual M.S. degrees in Industrial Engineering and Operations Research from the same institution (2018), and a B.S. in Industrial Engineering from Southeast University, China (2016). Her research focuses on data analytics, statistical learning, system identification, and uncertainty quantification, with applications in advanced manufacturing systems, privacy/security, and human-machine teaming. Key areas include quality monitoring in smart manufacturing, additive manufacturing process optimization, and interpretable AI for safety compliance. Her recent work explores federated hyperdimensional computing for distributed quality monitoring, cognitive data fusion in hybrid manufacturing, and brain-inspired computing for melt pool characterization. She also investigates educational strategies integrating Six Sigma principles with hands-on engineering practice. Notable contributions include methodologies for heterogeneous quality characterization in additive manufacturing, causal inference frameworks using Bayesian networks, and ontology-driven process analytics. She emphasizes translational research bridging theoretical computer science with industrial applications.

Farhad Imaniمشاهده پروفایل

استادیار

• Data Analytics
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Farhad Imani is an Assistant Professor at the University of Connecticut's Department of Mechanical Engineering, part of the School of Engineering. He leads the Intelligent Systems and Control Laboratory (ISCL), focusing on AI-driven advancements in manufacturing systems, robotics, and quality control. His work integrates machine learning, federated learning, and hyperdimensional computing to address challenges in additive manufacturing, privacy preservation, and smart manufacturing processes. Education: He holds a Dual-title Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University (2020). His research is supported by grants from NSF and CCAT, and he has authored over 50 peer-reviewed articles in top journals and conferences. Research Interests: Core areas include data analytics, machine learning applications in manufacturing, federated learning, privacy-preserving techniques, robotics, and anomaly detection. His lab develops tools for intelligent process monitoring, defect localization, and cooperative robotic systems in advanced manufacturing. Awards: Recipient of the NSF Graduate Research Fellowship Honorable Mention (2024), CCAT Faculty Fellow (2024), and multiple fellowships from Penn State. He serves as an Associate Editor for ASME's Journal of Autonomous Vehicles and Systems (JAVS). Students & Collaborations: Advises PhD and Master's students (e.g., Zhiling Chen, Danny Hoang) and collaborates with institutions like NIST, UC Irvine, and CCAT. His lab actively participates in STEM outreach programs and industry partnerships. Labs/Teams: ISCL focuses on cognitive computing, digital twins, and edge-based learning systems. Recent projects include the Robotics Dataset ScanBot and privacy-preserving frameworks for manufacturing data.

• Materials Science
• Polymer Engineering
• Recycling Technologies
• +۴ مورد دیگر

Giorgio Ramorino is an Assistant Professor in Materials Science and Technology at the University of Brescia and CEO of ITL srl, a university spin-off. He holds a Laurea in Mechanical Engineering and a Ph.D. in Applied Mechanics from the University of Brescia (2004), with research conducted at Rensselaer Polytechnic Institute (USA). His expertise spans plastics technology, polymer processing, and elastomer mechanics. Key research interests include injection molding simulation, recycled material valorization, and biomaterials for tissue engineering. He collaborates extensively with industries and research institutions, publishing over 11 peer-reviewed articles and 30 conference papers. His work emphasizes sustainable practices, such as integrating industrial waste (e.g., steel slag) into rubber composites and developing eco-friendly materials. Recent innovations include biomedical devices like expandable brain retraction chambers and TRAINERWALL for healthcare pathogen containment. His research bridges academia and industry, focusing on industrial symbiosis, material lifecycle optimization, and advanced manufacturing techniques. Despite no explicitly listed awards, his contributions to recycling technologies and biomaterials highlight significant scientific impact.

• Manufacturing Engineering
• Materials Science
• Finite Element Analysis (FEM)
• +۵ مورد دیگر

Barbara REGGIANI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. Her research focuses on advanced manufacturing processes, particularly extrusion of aluminum alloys, FEM simulation of material behavior, and optimization of industrial processes. She teaches courses in Management Engineering, including Manufacturing Processes and Methods for Product Development and Industrial Technologies and Plants . Her research interests include die design optimization, nitrogen cooling strategies for extrusion dies, and polymer processing. She has extensively studied grain structure evolution, recrystallization modeling, and defect prediction (e.g., PCG formation, charge welds) using FEM tools like Qform and Moldflow. Recent work addresses material characterization (e.g., AA6082/6063 alloys) and surface functionalization for biomedical applications. Dr. REGGIANI collaborates on projects involving additive manufacturing for die cooling channels and laser-based surface treatments. Her work bridges experimental methods (hot torsion tests, micro-CT analysis) with numerical modeling to enhance process efficiency and material performance.

Muhammad Mahmood Aliمشاهده پروفایل

پژوهشگر

• Metamaterials
• Nanotechnology
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Muhammad Mahmood Ali is a Principal Investigator at the Precision Engineering Materials and Manufacturing Research Centre (PEM Research Centre) and holds an affiliation with the Department of Mechatronic Engineering at Atlantic Technological University. His research spans metamaterials, nanotechnology, biomedical engineering, and materials science, with a focus on applications in energy, sensors, and sustainable materials. Dr. Ali has contributed to over 93 publications, with a citation count of 2,430 and an h-index of 27, reflecting significant academic impact. His work aligns with UN Sustainable Development Goals, particularly in advancing clean energy and sustainable infrastructure. His research interests include metamaterials design, nanocomposite synthesis for biomedical uses, and thermal engineering applications. Notable contributions include studies on fibre optic sensors, electrocatalysts for hydrogen generation, and cementitious materials' behavior under accelerated curing. Dr. Ali’s recent work explores green energy solutions through hydrothermal liquefaction of waste and neural network-driven fluid flow modeling. Dr. Ali’s articles highlight interdisciplinary approaches, blending materials science with computational methods and renewable energy technologies. His research often addresses practical challenges in manufacturing, sensor technology, and environmental sustainability. While no specific awards are listed, his extensive publication record underscores his active role in advancing engineering and materials science. He has been involved in collaborative projects on global scales, focusing on areas such as microchannel heat exchangers, antimicrobial nanomaterials, and laser-based manufacturing. His lab, the PEM Research Centre, emphasizes precision engineering and innovative material solutions. No specific grants or student advisees are detailed in the provided information.

Gary Zenitskyمشاهده پروفایل

پژوهشگر

• Neuroscience
• Neurodegenerative Diseases
• Environmental Toxicology
• +۳ مورد دیگر

Gary Zenitsky is a Researcher in the Department of Physiology and Pharmacology at the University of Georgia’s College of Veterinary Medicine. His research focuses on neurodegenerative mechanisms, environmental toxin impacts, and mitochondrial dysfunction in diseases like Parkinson’s. Key areas of investigation include neuroinflammation, protein misfolding, and the gut-brain axis. His work bridges molecular biology, toxicology, and translational medicine. Recent studies emphasize the roles of α-synuclein, mitochondrial stress, and environmental exposures in neurodegenerative processes. He explores innovative approaches like microbiome engineering for therapeutic delivery. His research often involves collaborative interdisciplinary methods, including CRISPR-Cas9 systems and advanced cell culture models. Notable contributions include identifying KCa3.1 channels as targets in neuroinflammatory pathways and elucidating manganese’s role in promoting α-synuclein aggregation. He has pioneered methods for isolating primary microglia with enhanced purity, advancing in vitro studies of neuroinflammation. Zenitsky’s work addresses translational challenges in neurotoxicology and neurodegenerative disease treatment. Current projects investigate biomarkers for early Parkinson’s detection and environmental risk factor mitigation strategies.

Michael Paganمشاهده پروفایل

پژوهشگر

• Advanced Manufacturing
• Physical & Mechanical Metallurgy
• Structural Materials
• +۳ مورد دیگر

Dr. Michael Pagan is a Research Engineer/Scientist I at Georgia Institute of Technology, focusing on advanced structural materials and additive manufacturing. His work emphasizes solid-state and high-temperature methods, particularly ultrasonic additive manufacturing (UAM), to design materials with unique properties. He holds a Ph.D. (2022) and B.S. (2014) from the University of Tennessee. His research explores plastic deformation during UAM, interfacial strengthening in dissimilar metals, and corrosion/erosion protection for sustainable materials. Key achievements include a U.S. provisional patent for bond efficiency improvements and awards such as the Editor’s Choice Award and First Step Award. He has contributed to projects at Oak Ridge National Laboratory, the Manufacturing Demonstration Facility, and Japan’s National Institute for Materials Science. Dr. Pagan’s publications span Additive Manufacturing , Acta Materialia , and Metallurgical and Materials Transactions A , focusing on material microstructure, interdiffusion dynamics, and irradiation effects. His work integrates experimental and theoretical approaches to advance manufacturing and materials science. He has served as a judge for UTK’s EUReCA competition and delivered guest seminars. His expertise bridges academic research and industrial applications in lean manufacturing (Black Belt in Six Sigma) and ceramic compounding for investment casting.

Chenhui Shaoمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Machine Learning
• Big Data Analytics in Manufacturing
• +۸ مورد دیگر

Chenhui Shao is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), part of the Grainger College of Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Michigan (2016), with prior degrees in Statistics, Industrial and Operations Engineering, and Automation. His academic roles include serving as an Associate Editor for multiple journals and organizing conferences such as the ASME International Manufacturing Science and Engineering Conference. Education: Ph.D., Mechanical Engineering, University of Michigan, 2016 (Advisors: S. Jack Hu and Jionghua Jin) M.A., Statistics, University of Michigan, 2013 M.S.E., Industrial and Operations Engineering, University of Michigan, 2013 B.E., Automation, University of Science and Technology of China, 2009 Research Interests: Smart Manufacturing Machine Learning in Manufacturing Big Data Analytics and Materials Joining Manufacturing Systems Control and Automation Applications in Dynamics, Energy, Environment, and Healthcare Recent Research Trends: His work focuses on federated learning for distributed manufacturing, physics-informed machine learning for process optimization, and sensor fusion for quality prediction. Key areas include ultrasonic metal welding, additive manufacturing, and two-photon lithography. Awards: 2022 Dean’s Award for Excellence in Research 2021 ASME Chao and Trigger Young Manufacturing Engineer Award 2020 NSF CAREER Award Multiple teaching excellence recognitions from UIUC students Advising & Grants: Advised over 10 Ph.D. and Master’s students, with notable projects funded by NSF, NCSA, and industry partnerships like CRRC Corporation. Collaborates on interdisciplinary initiatives such as the Center for Advanced Research in Drying (CARD) and the NSF nanoMFG Node. Labs & Teams: Leads the Automation and Digital Manufacturing Lab (ADML), focusing on machine learning, control systems, and sustainable manufacturing. Active in national and international conferences, organizing sessions on topics like additive manufacturing and smart manufacturing networks.

Jeff Wigginsمشاهده پروفایل

استاد

• Polymer Network Science
• Renewable Resource Polymers
• Carbon Fiber Precursors
• +۳ مورد دیگر

Jeff Wiggins is a Distinguished Professor of Polymer Science and Engineering at the University of Southern Mississippi. His research focuses on glassy polymer networks, renewable polymers, carbon fiber precursors, polymer simulations, continuous reactors, and protective materials. He holds a PhD in Polymer Science from USM and an MBA from University of Pittsburgh. With 12 years of industrial experience at Bayer and Nike, he has taught courses including Polymer Composites, Polymer Processing, and Dissertation Supervision. Research Interests: Polymer network science, renewable materials, composite engineering, and high-performance polymer systems. Education: PhD Polymer Science (USM), MBA (University of Pittsburgh), BS Industrial Technology (Western Washington University)