جست‌وجوی استاد و پژوهشگر

Remco M. Dijkmanمشاهده پروفایل

استاد

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +۳ مورد دیگر

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

Amir Sanati Nezhadمشاهده پروفایل

استاد

• Biosensing
• Microfluidics
• Tissue Engineering
• +۶ مورد دیگر

Dr. Amir Sanati Nezhad is a Full Professor in the Department of Biomedical Engineering and Mechanical and Manufacturing Engineering at the University of Calgary's Schulich School of Engineering. He leads the BioMEMS and Bioinspired Microfluidic Laboratory and holds memberships in the Hotchkiss Brain Institute, Snyder Institute for Chronic Diseases, and Arnie Charbonneau Cancer Institute. With a PhD in Mechanical Engineering from Concordia University (2013) and postdoctoral training at Harvard and McGill, he specializes in bioinspired microfluidics, tissue engineering, biosensors, and organ-on-chip technologies. His research focuses on developing point-of-care devices for cancer, brain injury, and infectious disease diagnostics, alongside bioinspired microdevices for disease modeling. He has published over 350 peer-reviewed works and holds prestigious awards like the Canada Research Chair and Governor General’s Gold Medal. His educational background includes degrees from Isfahan University of Technology (B.S., 2006), Amirkabir University (M.S., 2009), and Concordia University (PhD, 2013). Research interests include biosensing, microfluidics, and digital health technologies. Recent articles highlight innovations in wearable biosensors, molecularly imprinted polymers, and self-powered microfluidic systems. His awards reflect contributions to both research and teaching excellence. Grants and collaborations include licensing technologies to diagnostic companies. His lab emphasizes translational research, integrating microfluidics with AI for healthcare applications. He teaches advanced biomedical engineering courses and oversees interdisciplinary projects in organ-on-chip and biomaterials.

Harry Al-Wassitiمشاهده پروفایل

پژوهشگر ارشد

• mRNA Vaccines
• Drug Delivery Systems
• Lipid Nanoparticles
• +۴ مورد دیگر

Harry Al-Wassiti is a Research Fellow in Drug Delivery Disposition & Dynamics at Monash University. He serves as Primary Chief Investigator on multiple research projects focused on mRNA vaccine development and delivery systems, and is an active member of the Monash RNA expert group. His research interests span several key areas in pharmaceutical sciences and vaccine development: mRNA vaccine technology and manufacturing Lipid nanoparticle delivery systems SARS-CoV-2 variants and immune responses Novel vaccine formulations to overcome immune imprinting Gene delivery mechanisms for therapeutic applications PEG-lipid alternatives for mRNA stabilization Dr. Al-Wassiti's recent publications demonstrate a strong focus on advancing mRNA vaccine technology, particularly in developing more effective delivery systems and understanding immune responses. His work bridges fundamental pharmaceutical science with practical vaccine development applications, contributing significantly to pandemic preparedness and response. His research shows particular expertise in how mRNA delivery to lymphoid organs drives immune responses and how membrane-anchored receptor-binding domains can overcome immune imprinting. He has been recognized for his expertise through multiple media contributions in 2021 discussing mRNA vaccine technology, including commentary on vaccine rollout strategies and scientific principles behind mRNA vaccines. His work has been cited in numerous academic publications with several papers receiving double-digit Scopus citations. Dr. Al-Wassiti leads or co-leads several major research initiatives: Next-generation mRNA manufacturing and analysis technologies (2024-2027) Development of novel mRNA products for clinical trials (2023-2028) RaRtech: rapid mRNA manufacturing technology for pandemics (2022-2025) Designing non-viral gene delivery system based on adenovirus core (2016-2018)

Ronald Ting Tai Chanمشاهده پروفایل

مدرس ارشد

• VR/AR/MR development for engineering applications
• Gamification in engineering courses
• Innovative product design using VDI-2221 Framework and Axiomatic Design Methodology
• +۳ مورد دیگر

Dr Ronald Ting Tai Chan is a Senior Lecturer and Education Focused Academic in the School of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW). He holds a pivotal leadership role as Postgraduate Coursework Coordinator, focusing on curricula development and accreditation processes, including leading the 2021 Engineers Australia (EA) accreditation of the Master of Engineering program. Education: PhD in Manufacturing and Management Engineering (UNSW), BE (Hons I) in Aerospace Engineering (UNSW), and BSc in Mathematics and Statistics (UNSW) His research interests center on leveraging educational technology to enhance learning experiences, particularly through VR/AR/MR integration, gamification, and data-driven methodologies like PLS-PM for industrial systems analysis. He advocates for critical thinking and methodological approaches in solving open-ended engineering challenges. Dr Chan teaches advanced courses such as Engineering Management, Design and Analysis of Product Process Systems, and Reliability Engineering. His academic contributions span statistical process improvement methodologies applied in industries like healthcare and beverage manufacturing. He actively participates in international conferences, presenting work on PLS regression models and team performance analysis at the 8th International Conference on Partial Least Squares (Paris, 2014).

Jeffrey W. Bodeمشاهده پروفایل

استاد

• Synthetic organic chemistry
• Chemical biology
• Protein synthesis
• +۹ مورد دیگر

Professor Jeffrey W. Bode serves as Full Professor at the Department of Chemistry and Applied Biosciences at ETH Zurich, Switzerland, and maintains a secondary affiliation with the Institute of Transformative Biomolecules at Nagoya University, Japan. His internationally recognized research laboratory develops novel chemical reactions that operate under physiological conditions, bridging synthetic organic chemistry with biological applications. The Bode Research Group specializes in creating chemical methodologies that function in water and biological environments, including proteins, cells, and tissues. Their major research thrusts include acylboronate chemistry (particularly potassium acyltrifluoroborates or KATs), protein synthesis through ketoacid-hydroxylamine (KAHA) ligation, synthetic fermentation for drug discovery, and SnAP chemistry for N-heterocycle synthesis. These innovations enable applications in wound healing, drug delivery, cellular encapsulation, and artificial tissue development. The group's work on chemoselective ligation reactions has fundamentally advanced amide bond formation without traditional coupling reagents. Recent publications demonstrate a strong trajectory toward automated synthesis platforms, protein engineering, advanced bioconjugation techniques, and applications in chemical biology. The group has successfully commercialized SnAP chemistry through Sigma Aldrich and developed KAHA ligation into a robust method for synthesizing large proteins. Their research consistently focuses on creating molecules inaccessible through existing technologies, with particular emphasis on physiological compatibility and biological relevance. Professor Bode leads an international research team of approximately thirty PhD students and postdoctoral researchers from twenty different countries. The Bode Research Group maintains extensive collaborations across disciplines, contributing significantly to chemical biology, medicinal chemistry, and materials science. Their laboratory is equipped with advanced automation platforms for organic synthesis and maintains strong connections with pharmaceutical and biotechnology industries for translational applications of their chemical methodologies.

Stefan Hagelمشاهده پروفایل

پژوهشگر ارشد

• Ancient Greek Music
• Music Archaeology
• Musical Instrument Reconstruction
• +۳ مورد دیگر

Stefan Hagel is a Research Fellow at the Austrian Academy of Sciences and Privatdozent at the University of Vienna, specializing in ancient Greek and Roman music. His work bridges archaeology, philology, and digital reconstruction to analyze ancient musical instruments, notation systems, and performance practices. His research focuses on: Reconstruction of auloi (double-pipes) and hydraulis (water organs) Computational analysis of instrument acoustics Cross-cultural transmission of musical technologies Ancient harmonic theory and notation decipherment He leads major projects including Ancient Music Beyond Hellenisation (ERC Advanced Grant), Digitising Aspects of Graphical Representation in Ancient Music (FWF), and the European Music Archaeology Project . Hagel has developed specialized software for instrument analysis and serves as editor for the Journal of Music Archaeology . His publications demonstrate consistent focus on technical aspects of ancient music through interdisciplinary methodologies.

• Physical Metallurgy
• Materials Characterization
• Advanced High-Strength Steels
• +۷ مورد دیگر

Professor Elena Pereloma is a Senior Professor at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering. She specializes in physical metallurgy, microstructure characterization of metals and alloys, and advanced materials processing. Her research focuses on phase transformations in steels and titanium alloys, leveraging electron microscopy and atom probe tomography. Education: Ph.D. (Physics/Mathematics) and Candidate of Sciences from the National Academy of Sciences of Ukraine, and M.S.E. in Metallurgical Engineering from Igor Sikorsky Kyiv Polytechnic Institute. Research interests include additive manufacturing, nano-scale characterization, and strengthening mechanisms in microalloyed steels. She has secured major grants, including leadership in the Australian Steel Manufacturing Research Hub and ARC Industrial Transformation Research Hubs. Notable awards include the Sawamura Award and Honorary Doctorate from Ukraine's National Academy of Sciences. Teaching includes materials characterization courses and supervision of over 20 Ph.D. students in topics like phase transformations and thermo-mechanical processing. Her lab facilities include advanced electron microscopy and in-situ deformation analysis equipment.

John P. Swensenمشاهده پروفایل

دانشیار

• Medical Robotics
• Soft Robotics
• Steerable Needle Technology
• +۳ مورد دیگر

John P. Swensen is an Associate Professor at Washington State University's School of Mechanical and Materials Engineering, directing the M3 Robotics Lab. His research focuses on medical robotics, particularly steerable needle technology and tunably compliant mechanisms using smart materials. Ph.D., Johns Hopkins University (2012) M.S., Mechanical Engineering, Johns Hopkins University (2009) B.S., Electrical Engineering, Utah State University (2003) Research areas include: Medical robotics and surgical devices Compliant and steerable mechanisms Smart material applications in robotics Kinematic modeling and control algorithms Recent work demonstrates waterjet-assisted needle technology achieving unprecedented curvature control and reduced tissue damage in soft tissue phantoms. Collaborations with graduate students Mahdieh Babaiasl, Fan Yang, Emily Allen, and Lee Taylor have resulted in multiple IEEE publications and conference presentations at IROS, BioRob, and ISMR.

Niels Henrik Mortensenمشاهده پروفایل

استاد

• Product Architecture
• Modularization
• Maintenance Performance
• +۳ مورد دیگر

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.

Maria Battarraمشاهده پروفایل

استاد

• Operational Research
• Vehicle Routing Problems
• Scheduling Algorithms
• +۴ مورد دیگر

Prof. Maria Battarra is a Professor in the School of Management at the University of Bath, leading the MSc in Management suite as Director of Studies. She holds affiliations with the Made Smarter Innovation Centre for People-Led Digitalisation, IAAPS Climate Adaptation Research, and The Foundry’s Digital Manufacturing initiative. Her research focuses on developing exact and metaheuristic algorithms for real-world applications such as vehicle routing, scheduling, disaster relief, and maritime logistics. She holds a Doctor of Engineering (Università di Bologna, 2010) and Master of Engineering (Università di Bologna, 2005). Research Interests: Innovative optimization algorithms for logistics and operations Vehicle routing problems (VRP) and variants Scheduling and resource allocation under uncertainty Disaster relief management and emergency response systems Maritime and industrial logistics optimization Her work contributes to UN Sustainable Development Goals, particularly in sustainable infrastructure and responsible consumption. Notable awards include election to the Verlog Board (2025). She has led/co-led projects like People-Led Net Zero (UKRI, 2025) and Made Smarter Innovation (EPSRC, 2021). Advising: Supervises doctoral researchers in Operational Research, requiring quantitative and programming skills. Active in editorial roles for journals like European Journal of Operational Research and as a conference organizer for Verolog (2024–2027). Labs/Teams: Core member of the Made Smarter Innovation Centre, focusing on digitalization and Industry 4.0 applications across manufacturing and service sectors.

Raja Ghoshمشاهده پروفایل

استاد

• Bioengineering
• Membrane Technology
• Biopharmaceutical Processing
• +۳ مورد دیگر

Raja Ghosh is a Professor in the Department of Chemical Engineering at McMaster University's Faculty of Engineering. His research focuses on bioengineering and polymer materials, with specialization in membrane technology for biopharmaceutical applications. He is actively involved in the Health & Bio-innovation research cluster and teaches courses such as CHEM ENG 3BM3: Bioseparations Engineering and CHEM ENG 782: Biopharmaceuticals . Research Interests include membrane chromatography device design, bioseparations process development, membrane bioreactors for enzymatic and protein applications, and therapeutic protein stabilization. His work addresses scalable purification methods for monoclonal antibodies, PEGylated proteins, and viral vectors. Recent Publications highlight innovations in cuboid chromatography design, pH-modulated ion-exchange systems, and SARS-CoV-2 spike protein purification. He employs computational fluid dynamics (CFD) simulations to optimize device performance and reduce pressure drops in bioseparation processes. Contact Information : Email: rghosh@mcmaster.ca Office: JHE A408 Phone: 905-525-9140 ext. 27415

Kevin T. Turnerمشاهده پروفایل

استاد

• Mechanics
• Materials Science
• Manufacturing
• +۶ مورد دیگر

Kevin T. Turner is the John Henry Towne Department Chair and Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania's School of Engineering and Applied Science, with a secondary affiliation in Materials Science and Engineering. He leads the Turner Research Group, which investigates mechanics, materials, and manufacturing challenges, specializing in micro/nano-systems, adhesion, fracture mechanics, and advanced manufacturing. His research focuses on three primary thrusts: Materials with programmable mechanical properties (e.g., electroadhesives for robotics) Fracture and adhesion in structured/heterogeneous materials Printed and flexible sensors (including biodegradable cellulose-based variants) Key projects include tunable adhesion surfaces, architected materials for damage tolerance, and additive manufacturing stress control. Turner's recent publications (2022-2023) demonstrate a strong emphasis on adhesion mechanics, robotics applications, and nanomaterial design. Trends include bio-inspired structures, machine learning optimization, and interdisciplinary approaches bridging mechanics with biomedicine and agriculture. Computational methods like physics-informed neural networks are increasingly utilized for material property analysis. He directs an active research laboratory developing novel sensor technologies and materials systems, collaborating widely across engineering and applied science disciplines.

Kaiming Biمشاهده پروفایل

استادیار

• Infectious Disease Modeling
• Epidemic Forecasting
• Public Health Decision-Making
• +۱۲ مورد دیگر

Kaiming Bi, Ph.D., is an Assistant Professor in the Department of Management, Policy & Community Health at the University of Texas Health Science Center at Houston (UTHealth Houston) School of Public Health . As an affiliated member of the Center for Health Care Data , his research bridges quantitative methods and public health, focusing on infectious disease modeling , epidemic forecasting , and data-driven health policy . B.S. in Mathematics from Northeastern University (2015) Ph.D. in Industrial Engineering from Kansas State University (2020) Postdoctoral training at University of California San Diego School of Medicine (2020-2021) and University of Texas at Austin (2021-2024) His methodological expertise spans mathematical modeling , machine learning , and optimization , applied to diverse public health challenges including respiratory infections , vector-borne diseases , STIs , and the opioid epidemic . Recent work includes modeling SARS-CoV-2 Omicron subvariants , population immunity dynamics , and multi-pathogen burden projections for the 2023-2024 US winter season. Dr. Bi has received prestigious accolades such as the Pencis Best Researcher Award (2021) and IISE Best Paper (2018). He previously taught graduate courses in Integer Programming , Information Systems , and Industrial Simulation at Kansas State University. Currently leading the Big-data and Infectious Disease Modeling Lab (BI Lab) , he seeks STEM-motivated PhD students to develop computational solutions for epidemic control.

Gerhard Friedrichمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge-Based Systems
• Recommender Systems
• +۱۰ مورد دیگر

Gerhard Friedrich is a Full Professor at the University of Klagenfurt, leading the Institute for Artificial Intelligence and Cybersecurity. He previously served as Dean of the Faculty of Technical Sciences (2013–2021). His roles include Coordinator for International Relations of the Faculty of Engineering and Member of the Faculty Conference of Technical Sciences. He holds a PhD in Computer Science from Vienna University of Technology and has extensive industry experience, including heading departments at Siemens Austria and research roles at Siemens Corporate Research and Stanford Research Institute. Research focuses on knowledge-based systems, recommender systems, configuration and planning, and production informatics. His work bridges theoretical AI with practical applications in manufacturing, software development, and business processes. He has authored a book on recommender systems (translated into Japanese and Chinese) and contributed to prestigious journals like Artificial Intelligence and IEEE Transactions . He has organized major conferences such as the German Conference on Artificial Intelligence (2016) and served as editor and program committee member for leading venues. His awards include Fellowships from the European and Asia-Pacific AI Associations (2012, 2023). His advising and grants include leadership in applied AI projects and international collaborations. He directs the Intelligent Systems and Business Informatics research group, emphasizing interdisciplinary innovation.

Amos Winterمشاهده پروفایل

استاد

• Biomechanics
• Mechanical Design
• Global Development Engineering
• +۷ مورد دیگر

Professor Amos Winter is the Germeshausen Professor in Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He directs the K. Lisa Yang Global Engineering and Research (GEAR) Center, focusing on creating high-performance, low-cost technologies for emerging markets through interdisciplinary engineering science. His work spans water purification, prosthetics, agricultural systems, and transportation solutions. Education: B.S. in Mechanical Engineering from Tufts University (2003), S.M. and Ph.D. from MIT (2005, 2011) Labs: Founder and Director of MIT Mobility Lab (2007-2012), GEAR Center PI Winter’s research combines biologically-inspired design with mechanical and product development, emphasizing constraints-driven innovation. His projects include a solar-powered desalination system for rural India, the Leveraged Freedom Chair for off-road mobility, and smart drip irrigation systems for water-stressed regions. His publications analyze biomechanical interactions, adaptive robotics, and reverse innovation frameworks. Recent projects focus on time-variant desalination systems, low-pressure drip emitters, and energy-efficient agricultural technologies. These align with his expertise in mechanics, fluid dynamics, and cross-cultural technology transfer. Winter has received numerous honors including the 2025 Bose Award for Excellence in Teaching, the 2017 NSF CAREER Award, and the 2015 USAID Desal Prize. He was named to the TR35 list in 2013 and earned multiple design accolades for humanitarian technologies. As a co-founder of Global Research Innovation and Technology (GRIT), Winter bridges academic research with real-world implementation. He teaches Design and Manufacturing (2.007) and Global Engineering (2.76) at MIT, while advising startups and mentoring students through initiatives like the MIT Formula SAE Team.