جست‌وجوی استاد و پژوهشگر

Xuan Songمشاهده پروفایل

دانشیار

• Additive Manufacturing and 3D Printing
• Ceramics and Composites
• Experimental Mechanics
• +۳ مورد دیگر

Xuan Song is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Iowa's College of Engineering and a Researcher at the Iowa Technology Institute. His interdisciplinary work bridges advanced manufacturing, materials science, and computational engineering with applications in biomedical and defense sectors. Education: PhD in Industrial and Systems Engineering, University of Southern California, 2016 MS in Computer Science, University of Southern California, 2016 MS in Mechanical Engineering, Zhejiang University, 2011 BS in Mechanical Engineering, Wuhan University, 2008 Research Focus: Dr. Song pioneers additive manufacturing techniques for ceramics and composites, emphasizing experimental mechanics and AI-driven design . His lab develops hydrothermal-assisted jet fusion and pressure-assisted binder jetting processes, enabling breakthroughs in biomanufacturing (e.g., bone scaffolds) and sustainable materials (e.g., wastepaper recycling). Current projects integrate deep learning for microstructural optimization of piezocomposites and dental zirconia. Publication Trends: Recent work (2023-2025) reveals three dominant threads: (1) ceramic process innovation (hydrothermal/sintering techniques), (2) biomedical applications (dental implants, bone regeneration), and (3) AI-enhanced materials design. His research consistently addresses defect mitigation and property optimization across dental, energetic, and piezoelectric materials. Awards: James A. Chisman Faculty Fellow Advising & Grants: While specific advisees and grants aren't detailed in available sources, his lab's focus on NSF/DoD-relevant areas (energetic materials, biomanufacturing) suggests active federal funding. His dual appointment with the Iowa Technology Institute facilitates industry-academia translation. Laboratory: The SONG Lab (Science Of Next-Gen manufacturing) operates as a hub for multi-material additive systems, featuring capabilities in binder jetting, stereolithography, and AI-driven process control. Collaborations span ASME, SME, and ACerS professional networks.

Mickey Clemonمشاهده پروفایل

عضو هیئت علمی

• Advanced Manufacturing
• Sustainable Manufacturing
• Mechanical Design
• +۳ مورد دیگر

Mickey Clemon is a Teaching Assistant Professor at the University of Illinois, Urbana-Champaign's Department of Mechanical Science and Engineering. He holds a PhD from UC Berkeley and is a licensed Professional Engineer (P.E.) in California. His research focuses on advanced manufacturing processes, particularly additive manufacturing, sustainable materials, and process optimization. Education: B.S., M.S., and PhD in Mechanical Engineering from University of Kansas and UC Berkeley Research Interests: Dr. Clemon explores material-property manipulation in additive manufacturing (e.g., additive-subtractive hybrid methods), sustainable industrial systems, and computational modeling for manufacturing efficiency. He has pioneered work in particulate, wire, and ensemble fabrication techniques. Key Contributions: His recent work includes improving phase-change material thermal management systems and optimizing production layouts for industries like wool manufacturing. He also investigates vibration control in moving systems using piezoelectric actuators. Awards: ASME Old Guard Early Career Award (2019), Dedicated Service Award (2022) Professional Activities: He chairs the ASME E-Fest Steering Committee and has industry experience at Sandia National Laboratories. Courses taught include ME 270 (Design for Manufacturability).

• Friction Stir Welding (FSW)
• Additive Manufacturing
• Hybrid Manufacturing
• +۱۱ مورد دیگر

Livan Fratini is a Full Professor at the University of Palermo (UNIPA), specializing in advanced manufacturing engineering. His research focuses on friction stir welding (FSW), additive manufacturing, and sustainable metal recycling processes. Core Expertise: Friction Stir Welding, Hybrid Manufacturing, Finite Element Modeling Key Themes: Energy efficiency in manufacturing, life cycle assessment (LCA), and microstructural analysis of alloys Recent publications demonstrate strong emphasis on numerical modeling of hybrid additive manufacturing, optimization of FSW parameters for dissimilar joints, and sustainability-driven recycling of titanium/aluminum alloys. His work integrates experimental validation with computational simulations to address industrial challenges in aerospace, automotive, and biomedical sectors. Current trends include multi-step friction stir consolidation for recycled billets, magnetic field-assisted forming techniques, and decision support tools for green manufacturing selection. Process mechanics analysis and residual stress prediction remain central to his contributions.

Michael Berminghamمشاهده پروفایل

دانشیار

• Materials Engineering
• Advanced Manufacturing
• Metallurgy
• +۳ مورد دیگر

Associate Professor Michael Bermingham is an ARC Future Fellow at the School of Mechanical and Mining Engineering , University of Queensland , with affiliations to the Centre for Advanced Materials Processing and Manufacturing (AMPAM) . His research focuses on advanced manufacturing of metal materials , particularly additive manufacturing and subtractive machining technologies , aiming to optimize alloy design and process interactions for improved material performance. Education: Bachelor of Engineering (The University of Queensland) PhD (The University of Queensland, 2010) with Dean's Award for Outstanding Higher Degree Theses His research spans solidification processing (casting, welding, soldering, additive manufacturing), titanium alloy development for aerospace and biomedical applications, and microstructure optimization through techniques like trace element additions and hot isostatic pressing . Recent work explores 3D printing quality improvement via alloy design and machine learning applications for porosity analysis in metal manufacturing. Michael's 15 most recent publications (2023-2025) highlight advancements in titanium additive manufacturing , fatigue crack correction methods , ω phase embrittlement mitigation through Sn additions, and cryogenic coolant applications in machining. These works demonstrate his expertise in materials characterization , defect control , and process optimization . Scientific Awards: Dean's Award for Outstanding Higher Degree Theses (2010) ATN Go8 EIA National Report Rating 'A: Outstanding impacts' (2012) Australian Award for University Teaching (AAUT) Citation (2020) Michael has secured $9.2 million in ARC funding (including a Future Fellowship, Discovery Early Career Award, Discovery Projects, Linkage Project, and Research Hub) and $0.5 million in industry/internal funding . He supervises multiple PhD and Master's students in projects related to titanium alloy optimization , additive manufacturing defects , and biodegradable metal scaffolds .

Rafiq Ahmadمشاهده پروفایل

دانشیار

• Design and Manufacturing
• Additive Manufacturing
• Sustainable Production
• +۷ مورد دیگر

Dr. Rafiq Ahmad (PhD, P.Eng) is an Associate Professor at the University of Alberta’s Faculty of Engineering, Department of Mechanical Engineering. He directs the Smart & Sustainable Manufacturing Systems Laboratory (SMART LAB) and the Aquaponics 4.0 Learning Factory (AllFactory) . His work bridges fundamental research in design and manufacturing with advanced industrial applications. Education : PhD & MSc from French institutions (Ecole Centrale de Nantes and Ecole Arts et Metiers Paris), Postdoc at University of Luxembourg Research : Focuses on Smart Manufacturing (zero-defect production), Green Technologies (3R systems), Industrial Robotics (autonomous systems), and Sustainable Production (Aquaponics 4.0). The 15 most recent publications (2025) explore digital twins, robotics for extreme environments, hybrid manufacturing optimization, and sustainable food production. Articles span additive manufacturing, topology optimization, and AI-driven automation. Scientific Awards : 2023 ASTech Award for Digital Innovation; 2022 Edify Top 40 Under 40; multiple NSERC, Mitacs, and Alberta Innovates grants. Teaching : Offers courses in Manufacturing Systems, Lean Manufacturing, and Mechanical Measurements. Labs : SMART Lab (founded 2016) specializes in hybrid manufacturing and robotics; AllFactory focuses on sustainable aquaponics systems.

Kosmia Loizidouمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Image Processing
• Machine Learning
• +۲ مورد دیگر

Kosmia Loizidou serves as a Post-Doctoral Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus, following the completion of her Ph.D. in Electrical Engineering from the same institution in June 2023. Her doctoral research focused on Detection, Classification, and Prediction of Breast Abnormalities using Sequential Mammograms. Her academic credentials include: BSc in Mechanical and Manufacturing Engineering with a minor in Biomedical Engineering from the University of Cyprus (2016) MSc in Electrical Engineering, specializing in Biomedical Engineering, from the University of Cyprus (2018) PhD in Electrical Engineering from the Department of Electrical and Computer Engineering, University of Cyprus (2023) Dr. Loizidou's research centers on biomedical engineering with a specialized focus on medical image processing and machine learning applications for cancer diagnosis. She pioneers methodologies for breast cancer detection through temporal subtraction of sequential mammograms, developing advanced computer-aided diagnosis systems that classify masses and micro-calcifications while predicting near-term cancer occurrence. Her work bridges engineering innovation with clinical oncology to enhance early detection accuracy. Analysis of her publication trajectory reveals a concentrated research program leveraging machine learning and image processing on sequential mammograms. Key themes include temporal subtraction techniques for improving cancer localization, classification of benign versus malignant abnormalities, and predictive modeling of near-term breast cancer development. Her contributions span algorithm development, comprehensive reviews, and specialized applications for micro-calcifications and mass detection. Scientific awards: No awards or fellowships are documented in the provided information. Regarding academic mentoring and funding, no details are available about supervised students or secured research grants. Her professional activities appear centered on independent research within the KIOS framework. She operates within the KIOS Research and Innovation Center of Excellence, a premier hub for intelligent systems research at the University of Cyprus focused on critical infrastructure networks. This environment supports her interdisciplinary work at the intersection of biomedical engineering, computer science, and oncology.

Frank Pfefferkornمشاهده پروفایل

استاد

• Advanced Manufacturing Processes
• Discrete Metal Part Manufacturing
• Heat Transfer in Manufacturing
• +۴ مورد دیگر

Frank Pfefferkorn is a Professor and Associate Chair for Graduate Studies in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He also serves as Director of the Manufacturing Systems Engineering Program and holds a Visiting Professor appointment at TU Wien (Austria), supported by the Austrian Marshall Plan Foundation. His research focuses on advanced manufacturing processes, particularly the interaction between tools and workpieces in techniques like friction stir welding, laser remelting, and smart sensor integration in cutting tools. Key roles: Associate Chair, Director of Manufacturing Systems Engineering Program International collaboration: Annual research collaboration with TU Wien Past appointment: ASME Swanson Fellow at NIST's AMNPO (2015-2016) Research emphasizes physics-based models for process control and industry application, including solid-state additive-manufacturing hybrids and surface engineering via laser technologies. His work bridges academic research and industrial application, aiming to advance manufacturing science and workforce development.

• Timber Engineering
• Sustainable Construction
• Robotics in Construction
• +۴ مورد دیگر

Marc Pantscharowitsch is a researcher at the Institute of Green Civil Engineering within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on the intersection of timber engineering, robotics, and digital fabrication in construction. With numerous publications in high-impact journals and conference proceedings, he has established himself as a leading expert in applying industrial robotics to timber construction processes. His research interests span Timber Engineering , Sustainable Construction , Robotics in Construction , Automation , Computer Integrated Manufacturing , Structural Timber Components , and Digital Fabrication . Dr. Pantscharowitsch's work particularly emphasizes the precision machining of glued laminated timber (GLT) using industrial robots, comparing robotic systems with traditional joinery machines, and developing optimization models for timber manufacturing processes. His research addresses critical challenges in sustainable construction through innovative automation solutions that improve efficiency and reduce waste. An analysis of his 15 most recent publications reveals a strong trend toward integrating industrial robotics with timber construction, with particular emphasis on accuracy assessment, workspace utilization, and comparative analysis between robotic systems and traditional manufacturing methods. His work spans from fundamental research on machining parameters to applied studies on load-bearing behavior of robot-manufactured timber joints, demonstrating both theoretical depth and practical relevance to the construction industry. Dr. Pantscharowitsch actively supervises graduate students, having guided at least two master's theses on topics related to robotic timber processing. His current research includes the 'Prefab.Facade' project, which runs from September 2022 to August 2025, focusing on prefabricated facade systems using advanced manufacturing techniques. While specific grant details aren't provided in the available information, his involvement in multiple collaborative projects suggests active engagement with funding agencies and industry partners. As a member of BOKU's Institute of Green Civil Engineering, Dr. Pantscharowitsch contributes to the institution's mission of developing sustainable civil engineering solutions with a particular focus on timber as a renewable construction material. His work bridges traditional construction techniques with cutting-edge digital fabrication methods, positioning him at the forefront of innovation in sustainable building technologies.

Muhammed Kotanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Software
• Image Processing
• +۱۳ مورد دیگر

Muhammed Kotan is an Assistant Professor at the Department of Information Systems Engineering , Sakarya University , where he has served since 2022. His academic career includes roles as a Research Assistant (2011–2022) at Sakarya University and Afyon Kocatepe University. He holds a PhD in Computer and Information Engineering (2020), an MSc in Computer and Information Engineering (2014), and a BSc in Computer Engineering (2011) from Sakarya University. Research Interests : Artificial Intelligence, Computer Software, Image Processing, Machine Learning, Computer Vision, Medical Imaging, Energy Efficiency Optimization, Natural Language Processing, Sentiment Analysis, Feature Selection, 3D Reconstruction, Industrial Machine Detection, Optimization Algorithms, Real-Time Systems, User Reviews Analysis, E-Commerce Analytics. Key Contributions : Developed hybrid methods for 3D reconstruction and industrial machine defect detection, optimized tow train routing in manufacturing, and applied Marine Predators Algorithm for mental health screening. Scientific Recognition : Awarded the Eğitim Öğretimde Üstün Başarı Ödülü by Sakarya University (2024). Served as editor for the Sakarya University Journal of Computer and Information Sciences (2023–2024) and peer reviewer for journals like Signal, Image and Video Processing and Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi . Advising : Co-advisor for TÜBİTAK projects (2022–2024) and supervised student research on topics like cosmetic product recognition, natural language processing, and sentiment analysis. Designed courses in Digital Image Processing, Text Mining, and Advanced Information Systems.

Ahmed Qureshiمشاهده پروفایل

استاد

• Additive Manufacturing
• Advanced Manufacturing
• Automation and Robotics
• +۷ مورد دیگر

Professor Ahmed Qureshi is a Professor and Engineering Research Chair in Advanced Manufacturing Processes and Automation at the University of Alberta's Faculty of Engineering, Department of Mechanical Engineering. He holds a PhD in Mechanical Engineering from Arts et Métiers ParisTech (2011), an M.S. in Design Innovation & Industrial Production (2007), and a B.Sc. in Mechanical Engineering from the University of Engineering and Technology, Lahore (2002). His research focuses on advanced design and manufacturing, including additive manufacturing (e.g., robotic wire-based, plasma transfer arc, and laser processes), automation, and transdisciplinary engineering design. Key projects involve ferromagnetic 3D printing, hybrid additive-subtractive systems, and geometric deviation modeling in AM. He leads the Additive Design and Manufacturing Systems Lab (ADAMS Lab), which develops next-generation manufacturing processes and materials. His teaching includes courses like MEC E 265A/B: Engineering Graphics and CAD, emphasizing 2D/3D modeling and CAD tools. His work integrates sensor fusion, digital twins, and Industry 4.0 principles for process automation and quality control. Research trends in his articles emphasize material-process interactions, optimization of AM parameters, and applications in aerospace, automotive, and biomedical fields. Professor Qureshi's lab collaborates on industrial projects such as oil sands operations and lightweight materials for high-density applications. His contributions bridge academia and industry through innovative manufacturing solutions and educational frameworks aligned with Bloom’s taxonomy for transdisciplinary design education.

Jana Abou-Zikiمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Micro-manufacturing
• Hybrid Additive/Subtractive Manufacturing
• +۴ مورد دیگر

Dr. Jana Abou-Ziki is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. She holds a PhD in Mechanical Engineering from Concordia University (2014) and a BSc in Mechatronics Engineering from Rafik Hariri University (2009). Her research focuses on advanced manufacturing technologies, including Spark Assisted Chemical Engraving (SACE), hybrid additive-subtractive processes, microfluidic devices, and surface functionalization. She leads the PM Lab (https://www.pmlab-engineering.com) and teaches courses such as Design for Manufacturing and Advanced Manufacturing Processes. Her work emphasizes micro-scale machining, electrochemical processes, and material optimization. Key contributions include studies on SACE drilling dynamics, neural network-based signal processing, and review analyses of micro-hole fabrication techniques. Dr. Abou-Ziki has authored/co-authored multiple peer-reviewed articles in journals like Ceramics , Micromachines , and Manufacturing Letters , and holds patents related to electrochemical reactors and SACE systems. She is also committed to education innovation, holding a Graduate Certificate in University Teaching (Concordia, 2015). Her research bridges theoretical process modeling with practical industrial applications, aiming to advance precision manufacturing and sustainable material processing.

Anne Andrewsمشاهده پروفایل

استاد

• Neurochemical Sensing
• Biosensor Development
• Neuropsychopharmacology
• +۲ مورد دیگر

Professor Anne Andrews holds joint appointments in Chemistry & Biochemistry and Psychiatry & Biobehavioral Sciences at UCLA. She leads research in neurochemical sensing, developing implantable biosensors for real-time neurotransmitter monitoring. Her innovations include aptamer-based field-effect transistors for serotonin/dopamine detection and wearable cortisol trackers. Her laboratory advances flexible electronics for neurological applications, combining nanotechnology with machine learning to optimize neurochemical detection. Recent work establishes serotonin's role in stress response circuitry and examines pharmacological interventions during pregnancy. Honors include NSF's PECASE Award and fellowships in biomedical engineering. She currently advises six doctoral candidates and maintains NIH-funded projects on molecular sensing platforms and neuropharmacology.

• Surface Engineering
• Corrosion Science
• Materials Science and Engineering
• +۴ مورد دیگر

Associate Professor Dr. Xiaobo Chen is affiliated with the School of Engineering at RMIT University's City Campus. He holds a PhD in Materials Science and Engineering from Deakin University (2009) and has held roles at Monash University and RMIT, including Senior Lecturer and Associate Professor. His research focuses on surface modification and coating technologies for light metals, addressing corrosion and biomedical applications. Key industry collaborations include Baosteel-Australia Joint Research Centre, Mitsubishi Heavy Industry, and BASF Coatings GmbH. He leads the HDR Manager role for Manufacturing, Materials, and Mechatronics disciplines. Research Themes: Corrosion mechanisms, biomaterials, additive manufacturing, antimicrobial coatings Funding: ARC grants (DECRA, DP, LP) as Lead Chief Investigator Industry Projects: 6 completed contracts with industry partners Teaching interests include surface engineering, nanomaterials, and electrochemistry. Current research explores self-cleaning coatings, high-entropy alloys, and 3D-printed biomedical implants.

• Welding Engineering
• Additive Manufacturing
• Resistance Spot Welding
• +۴ مورد دیگر

Patrick Van Rymenant is a Lecturer at the Faculty of Industrial Engineering Sciences, KU Leuven, affiliated with the Manufacturing Processes and Systems (MaPS) unit at Campus De Nayer Sint-Katelijne-Waver. He serves as Head of Education for the OC Welding Engineering program and is a member of Leuven.AM – KU Leuven Institute for Additive Manufacturing. Research focus: Welding Engineering, Resistance Spot Welding, Wire and Arc Additive Manufacturing (WAAM) Roles: Lecturer, Co-Promotor, Promotor, Secretary of OC Welding Engineering His research emphasizes robust manufacturing processes, hybrid additive-subtractive techniques, and dissimilar material joining. Key projects include: Design for Manufacturing (2024-2028) Multi-material WAAM (2020-2025) 3D printing for reinforced concrete (2021-2024) Grey-box welding process monitoring (2021-2025) Recent publications demonstrate expertise in virtual twin models, bi-metallic WAAM, and dissimilar metal joining. He supervises PhD students in these domains and collaborates with researchers like Moens, Dejans, and Lauwers.

• Energy efficiency
• Life cycle assessment
• Machining
• +۷ مورد دیگر

Paolo Claudio Priarone is an Associate Professor at the Department of Management and Production Engineering (DIGEP) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center IAM@PoliTo (Integrated Additive Manufacturing) and serves as Scientific Director for multiple research projects. Research Interests: Energy efficiency, life cycle assessment, machining, sustainable manufacturing, titanium aluminides Skills: Materials engineering, mechanical manufacturing, production technology, sustainable design His recent research focuses on AI-based assistive systems for manufacturing, hybrid WAAM-subtractive processes, and sustainable material recycling. He supervises PhD student Marta Ceroni and leads projects like FACILE (2024-2026) and 3aDitional (2024-2026). Scientific Fellowships CIRP Fellow (2020-) CIRP Associate Member (2013-2019) AITeM Research Affiliate (2011-) He contributes to editorial boards and teaches courses such as Sustainable Manufacturing and Additive Manufacturing at undergraduate, master’s, and PhD levels. His work aligns with SDG Goal 12 on responsible production.