جست‌وجوی استاد و پژوهشگر

Xiaodong Jiaمشاهده پروفایل

استادیار

• Smart Manufacturing
• Advanced Process Control
• Machine Learning
• +۳ مورد دیگر

Xiaodong Jia is an Assistant Professor (ISE-Data Science Focus) at the University of Cincinnati's Department of Industrial & Systems Engineering, affiliated with the College of Engineering, Architecture and Art. He leads the Lab for Intelligent Metrology Systems and has held roles including Post-Doc Research Fellow at the Center for Intelligent Maintenance Systems and Research Assistant Professor at UC. His research focuses on smart manufacturing, advanced process control, and machine learning applications in industrial systems. Education includes a Ph.D. in Industrial Big Data and Prognostics from UC (2018), M.S. in Turbomachinery from Shanghai Jiaotong University (2014), and a B.S. in Mechanical Engineering from Central South University (2008). Research interests include data-driven modeling, prognostics and health management (PHM), and digital twin technologies. His work addresses challenges in semiconductor manufacturing, robotics, and predictive maintenance. Recent projects involve closed-loop defect identification in roll-to-part systems and AI-driven yield enhancement for semiconductors. Grants include $498K from the Department of Army for defect remediation in manufacturing, $325K from NIST for semiconductor yield optimization, and multiple industry partnerships with GM, Applied Materials, and Hitachi. Awards include top placements in global industrial AI and PHM competitions. His lab collaborates with industry leaders like General Motors, Mitsubishi, and TSMC, focusing on applied machine learning solutions for manufacturing systems. Ongoing projects emphasize transfer learning, data anonymization, and digital twin applications.

Cristina Ruiz Martínمشاهده پروفایل

استادیار

• Organizational Resilience
• Discrete-Event Modeling and Simulation
• Agent-Based Modeling
• +۳ مورد دیگر

Cristina Ruiz Martín is an Assistant Professor, Teaching Stream at Carleton University's Department of Systems and Computer Engineering (Faculty of Engineering and Design). She holds a Ph.D. from both Carleton University (Canada) and Universidad de Valladolid (Spain) through a cotutelle program. Her academic background includes an MSc in Industrial Engineering (2014) and a Project Management degree (2013) from Universidad de Valladolid. Her research focuses on Organizational Resilience , Discrete-Event Modeling and Simulation , Agent-Based Modeling , and Network Theory . Recent work explores resilience in firms, pandemic modeling, and simulation frameworks like DEVS and Cell-DEVS. She has taught courses in Strategic Management and Managerial Economics at Universidad de Valladolid, and currently contributes to engineering education at Carleton. Her publications emphasize applications of simulation techniques to real-world challenges, including pandemic spread analysis, emergency communication systems, and organizational dynamics. She actively develops collaborative modeling tools and integrates simulation into interdisciplinary studies. Key technical contributions include methodologies for combinatorial auctions, real-time DEVS kernels, and integrating BDI agents with simulation environments. Her work bridges theoretical modeling with practical applications in manufacturing, healthcare, and crisis management.

Arvind Upadhyayمشاهده پروفایل

استاد

• Sustainable Operations
• Supply Chain Management
• Big Data Analytics
• +۷ مورد دیگر

Professor Arvind Upadhyay is a faculty member at London Metropolitan University, specializing in sustainable operations and supply chain management. His research focuses on integrating big data analytics, blockchain technology, and circular economy principles into environmental sustainability frameworks. He actively teaches these subjects and explores applications in healthcare, disaster resilience, and Industry 4.0. Research interests include lean management practices, AI-driven healthcare solutions, and the role of digital technologies in enhancing supply chain resilience. His work often addresses challenges in green supply chain management, carbon-neutral logistics, and sustainable performance metrics. Publications span topics such as blockchain’s impact on green technology, circular economy startups, and Quality 4.0 barriers. He has contributed to understanding pandemic-driven healthcare management innovations and the effects of globalization on supply chain strategies. No scientific awards or grants are explicitly mentioned, and no student advisees are listed. His work emphasizes interdisciplinary collaboration and practical solutions for sustainability challenges across industries.

Brian Freelandمشاهده پروفایل

دانشیار

• Bioprocess Engineering
• Nanotechnology
• Functional Foods
• +۳ مورد دیگر

Assoc. Prof Brian Freeland is a key academic in the School of Biotechnology at Dublin City University (DCU) , specializing in Bioprocess Engineering . He completed his PhD in 2020 focusing on process control and optimization in nanomaterials. Mechatronic Engineering (2005) MSc in Mechanical with Bioprocessing Engineering (2009) PhD (2020) His research integrates Process Analytical Technology (PAT) with bioprocessing and nanofabrication, utilizing tools like: On-line spectroscopy Biocalorimetry Gas analysis Soft-sensors and ANNs Key projects include: Grain-4-Lab (Co-Lead) - Circular bioeconomy SERKEL.bio (Lead) Principal Investigator roles at Life Science Institute , Irish Water Institute , and Advanced Processing Technology Research Centre Recent publications focus on: Silver nano-inks for antimicrobial food packaging Laser ablation synthesis in solution (LASiS) Nano-silver colloids under laminar flow Calorimetry-based bioprocess control Functionalization of silicon nanoparticles Teaching interests span bioprocess control , automation , and PAT tools , coordinating modules like Bioreactor Design and Transport Processes . Supervises PhD students in yeast bioprocessing and nanomaterials .

• Robotics
• Human-Robot Interaction
• Industrial Automation
• +۳ مورد دیگر

Seyedamir Ahmadi is a Researcher in Automation Technology and Mechanical Engineering with expertise bridging robotics, industrial automation, and human-robot collaboration systems. His work directly addresses Industry 4.0 implementation challenges in smart manufacturing environments. Education Master of Science (Technology) in Automation Engineering (awarded 2018) Bachelor of Science (Technology) in Mechanical Engineering from UCSI University (awarded 2013) Research Focus Ahmadi specializes in human-robot collaboration systems, digital twin development for production lines, and ontology engineering for manufacturing. His research integrates ergonomics, risk analysis, and personalization to enhance operator safety and efficiency in connected factories. Key contributions include multimodal interfaces for collaborative robotics and semantic frameworks for manufacturing execution systems. Publication Evolution From 2018 to 2023, Ahmadi's work evolved from foundational ontology development (ISA-95 standards) toward applied human-robot interaction systems. Recent publications emphasize operator skill digitization in digital twins, safety-focused risk analysis for collaborative robots, and personalized interfaces in connected factories—demonstrating consistent progression toward solving real-world manufacturing challenges in Industry 4.0 contexts.

Anthony Petrellaمشاهده پروفایل

دانشیار

• Biomechanics
• Computational Biomechanics
• Experimental Biomechanics
• +۷ مورد دیگر

Anthony Petrella is an Associate Professor and Department Head of Mechanical Engineering at the Colorado School of Mines. He serves as Director of the FEA Professional Certificate Program and leads the Computational Biomechanics Group. His academic career at Mines began in 2006 following a six-year industry role managing computational biomechanics research at Johnson & Johnson's DePuy Orthopaedics. Dr. Petrella's research spans computational and experimental biomechanics of the musculoskeletal system, with primary focus on orthopaedic applications. His group employs advanced nonlinear finite element methods, subject-specific anatomy modeling, and statistical techniques to investigate spine, hip, knee, and ankle mechanics. Recent work integrates machine learning for injury prediction and expands into additive manufacturing for biomedical applications. Analysis of Dr. Petrella's recent publications (2015-2024) reveals a dominant emphasis on spine biomechanics through automated finite element modeling and statistical shape analysis, with growing focus on ankle mechanics and machine learning applications. The research demonstrates consistent evolution from joint replacement studies toward comprehensive musculoskeletal system modeling and clinical outcome improvement. As director of the Computational Biomechanics Group, Dr. Petrella oversees researchers and graduate students in developing computational models of spinal function across healthy, degenerated, and surgically reconstructed states. His FEA Professional Certificate Program provides industry professionals with advanced structural and thermal analysis skills, reflecting his dual commitment to research innovation and engineering education.

• Electronic Drums
• Interface Design
• Pad Design
• +۲ مورد دیگر

Alan Kennedy is an Assistant Professor in the School of Mechanical & Manufacturing Engineering at Dublin City University. His research centers on electronic percussion systems, including pad design, electronic drum module development, signal processing algorithms, and human-computer interface optimization. He investigates sensor technologies for responsive musical interfaces and software architectures for real-time sound synthesis. His publications focus on computational methods for engineering problems, particularly convection-diffusion modeling using electrical analogues, which bridge mechanical engineering and computational mathematics.

Tao Luمشاهده پروفایل

دانشیار

• Supply Chain Management
• Transport Logistics
• Gig Economy Platforms
• +۳ مورد دیگر

Tao Lu is an Associate Professor in the Department of Operations and Information Management at the University of Connecticut’s School of Business. Previously, he taught at the Rotterdam School of Management in the Netherlands. His research focuses on supply chain management, transport logistics, gig economy platforms, and socially responsible operations. He serves as an Associate Editor of the Service Science journal. Education : Ph.D. (2016), M.Phil. (2013), Hong Kong University of Science and Technology BBA (2011), Beijing Jiaotong University Research Interests : Dr. Lu’s work explores strategic communication in supply chains, sustainable logistics, and platform economics. He investigates how firms can optimize operations through mechanisms like fill-rate-based workforce allocation, contingent sourcing strategies, and socially responsible supplier communication. His research often integrates game theory and stochastic modeling to address real-world challenges in supply chain resilience and environmental sustainability. Publications & Contributions : His work appears in top journals such as Management Science , Manufacturing & Service Operations Management , and Operations Research . Recent trends in his publications emphasize gig economy dynamics, platform mergers, and precision agriculture’s operational implications. Grants & Advising : No specific grants or advisees are listed in the provided materials. His research funding sources and student mentoring activities remain unspecified. Labs/Teams : No dedicated lab or research team is mentioned, though his editorial role at Service Science suggests active participation in academic collaborations.

• Behavioural Operations
• Supply Chain Management
• Operations Management
• +۴ مورد دیگر

Ahmet Onur Agca is a Lecturer in Engineering Systems & Supply Chain Management at the College of Engineering and Physical Sciences, Aston University, UK. His research bridges behavioral sciences with operations and supply chain management, focusing on circular economy adoption and sustainability-driven business strategies. Research Interests Behavioural Operations: Investigating how human characteristics and cognitive biases influence supply chain decisions. Circular Designs: Advocating for product/process circularity to reduce waste and enhance resource efficiency. Sustainability & Degrowth: Exploring business models balancing economic viability with ecological responsibility. Research Trends Recent work analyzes paradoxes in supply chain dynamics (bullwhip effect, coopetition). Emphasizes behavioral decision-making frameworks and circular economy implementation across industries.

Marcel Hörningمشاهده پروفایل

پژوهشگر

• Life Science
• Biomedicine
• Mathematical & Computational Biology
• +۸ مورد دیگر

Marcel Hörning is a Researcher at the University of Stuttgart , affiliated with the Institute of Biomaterials and Biomolecular Systems . His work spans interdisciplinary domains including Life Science & Biomedicine , Mathematical & Computational Biology , and Physics , focusing on excitable media dynamics, mechanobiology, and biomaterials. Staff Council Representative since 2019 Member of Stuttgart Research Center Systems Biology (SRCSB) Research Interests center on understanding how physical and geometric properties regulate biological systems. Key areas include: Excitable Membrane Signaling in Dictyostelium and cardiac cells Mechanobiology of myoblasts and cardiomyocytes on dynamic hydrogels Cardiac Wave Dynamics for arrhythmia control Biophysics of mitochondrial transport and ciliate galvanotaxis 3D Bioprinting of tissue-mimicking scaffolds Publication Trends reveal expertise in modeling spatiotemporal patterns in excitable systems, with applications to cardiac tissue engineering , neuronal migration , and biomaterial design . Collaborative efforts often bridge experimental and computational approaches . Technologies developed include reversible host-guest hydrogels and optical fluid pumps for dynamic cellular microenvironments. His work has implications for regenerative medicine , drug screening , and nonlinear system control .

Sivakumar Narayanswamyمشاهده پروفایل

استاد

• Laser Interferometry
• MEMS Device Characterization
• Pulsed Laser Micromachining
• +۵ مورد دیگر

Sivakumar Narayanswamy is a Professor and M.Eng & M.A.Sc. Program Director in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on advanced laser-based technologies including laser interferometry for surface characterization, pulsed laser micromachining of photonic devices, and biomedical applications such as cell bioprinting and laser shock peening of biodegradable materials. He specializes in optical coherence tomography systems, MEMS device characterization, and dynamic material analysis. His work bridges mechanical engineering and biomedical science, with notable contributions in laser-induced side transfer (LIST) bioprinting for endothelial tubulogenesis and the development of linear wavenumber spectrometers for high-resolution imaging. Research on nanosecond laser effects includes bubble dynamics, micro-jet modeling, and surface texture analysis of materials like silicon and magnesium alloys. Recent studies emphasize improving corrosion resistance and biocompatibility of magnesium implants through laser shock peening techniques, alongside statistical analysis of material morphologies. His publications also explore novel spectroscopic methods for noninvasive cell proliferation measurement and optimized optical systems for medical imaging applications. Dr. Narayanswamy’s interdisciplinary approach integrates engineering design principles with cutting-edge laser technologies to address challenges in manufacturing, materials science, and biomedicine.

Chao Liuمشاهده پروفایل

مدرس

• Smart and Sustainable Manufacturing
• Digital Twin
• Cyber-Physical Production Systems
• +۵ مورد دیگر

Dr. Chao Liu is a Lecturer in Digital Manufacturing at Aston University, College of Engineering and Physical Sciences. He holds a Ph.D. in Mechanical Engineering from the University of Auckland and has held roles at The Hong Kong Polytechnic University and Cardiff University. His research focuses on Smart and Sustainable Manufacturing, including Digital Twin, Cyber-Physical Production Systems, and Machine Learning applications. He has secured significant funding, including £70k from the Royal Society and €481k from the Horizon EU Project. Dr. Liu has authored over 60 publications and serves as a reviewer/Editor for top journals like Robotics and Computer-Integrated Manufacturing and International Journal of Production Research. Education: Ph.D. (2018, University of Auckland), MSc (2014, Northeastern University), BSc (2012, Northeastern University). Research Interests: Smart Manufacturing technologies, Industrial IoT, Machine Tools, Big Data Analytics, and Augmented Reality. Awards include the Vice-Chancellor’s Research Excellence Award (2024) and multiple top reviewer awards. Grants and Projects: Royal Society grants, Horizon EU-funded H2GLASS project, and UK KTP collaborations with industries like Colemans and JDD Furniture Ltd. He leads interdisciplinary projects in AR-assisted human-machine collaboration and energy-efficient manufacturing systems. Labs/Teams: Involved in the Smart and Sustainable Manufacturing research group at Aston University, focusing on Cyber-Physical Systems and Digital Twin applications.

Misha Sumetskyمشاهده پروفایل

استاد

• Nanophotonics
• Quantum Computing
• Optical Microdevices
• +۵ مورد دیگر

Professor Misha Sumetsky is a leading academic at the Aston Institute of Photonic Technologies (AiPT) within the College of Engineering and Physical Sciences at Aston University. He holds a Professorship in nanophotonics and quantum technologies. His research focuses on optical microresonators, quantum computing, and surface nanoscale axial photonics (SNAP). He has pioneered breakthroughs in optical delay lines, microfluidics, and sub-angstrom precision fabrication techniques. Education: PhD in Mechanics of Gases and Plasma, St. Petersburg State University (1979) Research Interests: His work spans electromagnetic theory, quantum mechanics, and advanced photonics. Notable achievements include inventing SNAP technology, demonstrating thermally tunable microresonators, and developing theories on optical nanofiber tunneling. His research has led to over 100 peer-reviewed publications and 25 patents. Grants & Awards: He leads major grants such as the £1.167M EPSRC project on picometre SNAP (2024-2028) and the Leverhulme Trust-funded 'Light Microtruck' initiative (2022-2025). Awards include the Royal Society Wolfson Merit Award and Fellowship in the Optical Society of America. Supervision: Currently supervising three PhD students. His lab focuses on quantum photonics, microresonator technologies, and photonic circuits.

Lori E. Tunstallمشاهده پروفایل

استادیار

• Materials Science
• Civil Engineering
• Geopolymer Technology
• +۴ مورد دیگر

Lori E. Tunstall is an Assistant Professor at the Colorado School of Mines, specializing in materials science and civil engineering applications. She previously worked as a geotechnical engineer and construction estimator before earning a joint Ph.D. in Civil and Environmental Engineering & Materials Science from Princeton University in 2016. Education: Ph.D. from Princeton University (2016), B.S. in Civil Engineering from The College of New Jersey (2008) Her research focuses on sustainable construction materials, particularly utilizing mine tailings and biochar for geopolymer and cementitious systems. She investigates fracture mechanics in lightweight concrete and ceramics derived from industrial byproducts, aiming to enhance durability and environmental impact. Recent publications highlight advancements in alkali-activated materials, air-entrained concrete stability, and biochar integration into mortars. Her work bridges materials science, civil engineering, and sustainability, with applications in infrastructure and waste valorization. Scientific Awards: Wu Graduate Fellowship in Engineering Princeton Emerging Alumni Scholars Award (2015-2016) 2017 Defense Programs Award of Excellence Lori leads the Tunstall Materials Research Group, exploring additive manufacturing techniques like direct-write electronics and direct ink write for novel construction solutions. She has contributed to pavement sustainability reviews and community recycling initiatives in Colombia.

• Operations Management
• Supply Chain Management
• Quality Management
• +۲ مورد دیگر

Dr. Chengbo Wang is a Senior Lecturer in Operations Management at Oxford Brookes Business School, Oxford Brookes University. His research focuses on innovative practices in operations management, quality management, supply chain logistics, and pedagogical approaches in higher education. With expertise spanning manufacturing, e-commerce, and international business strategies, his work frequently examines Chinese and cross-cultural industrial contexts. Research interests include strategic operations optimization, sustainable logistics, retail supply chains, SME operational challenges, and curriculum development methodologies for business education. His publications demonstrate consistent focus on empirical analysis of industrial systems and educational frameworks. Professional affiliations include fellowship in the Higher Education Academy and membership in the Chartered Institute of Logistics and Transport. While no awards or student advising details are provided, his research portfolio reflects significant contributions to operations theory and practices.