جست‌وجوی استاد و پژوهشگر

Karsten Rebnerمشاهده پروفایل

استاد

• Chemical Imaging
• Process Analytics
• Process Control and Optimization
• +۳ مورد دیگر

Prof. Karsten Rebner serves as the Dean of the Faculty of Life Sciences and Head of the 'Process Analysis & Technology' (PA&T) teaching and research center at Reutlingen University. His roles also include fiscal and industry liaison responsibilities for the faculty. He holds a professorial rank and specializes in chemical imaging, process analytics, process control optimization, spectroscopy, and related fields. His research focuses on advancing analytical techniques such as hyperspectral imaging, Raman spectroscopy, and UV-Vis spectroscopy for applications in materials science, biomedical engineering, and industrial processes. Notable works include contributions to process analytical technology (PAT), surface analysis of materials like copper and polymers, and quality control methodologies for thin films and coatings. Rebner has authored over 50 peer-reviewed publications and holds patents in process analytical systems, including methods for material flow analysis. His work integrates interdisciplinary approaches to solve challenges in biotechnology, food science, and sustainable materials production. He leads a team at the PA&T center, collaborating on projects funded by industry partnerships and academic grants. His research has implications for enhancing manufacturing efficiency, improving material characterization, and advancing biomedical diagnostics through innovative spectroscopic tools.

• Earthquake Engineering
• Structural Engineering
• Pipeline Engineering
• +۱۲ مورد دیگر

Professor Pat Rajeev is a distinguished academic and Department Chair in the Department of Civil and Construction Engineering at Swinburne University of Technology, within the School of Engineering. He holds the rank of Professor and leads research and teaching in structural, geotechnical, and sustainable infrastructure engineering. PhD in Earthquake Engineering, ROSE School, University of Pavia, Italy (2005–2008) M.Sc. in Earthquake Engineering, ROSE School, University of Pavia, Italy (2004–2005) B.Sc. (Hons) in Civil Engineering, University of Peradeniya, Sri Lanka (1999–2003) His research focuses on earthquake-resistant design, pipeline engineering, soil-foundation-structure interaction, 3D concrete printing, structural health monitoring, and infrastructure asset management. He pioneers sustainable construction through geopolymer concrete, waste utilization, and low-carbon technologies. His work integrates advanced numerical modeling, sensor technology, and reliability analysis to enhance structural resilience. His recent publications highlight innovations in 3D printed concrete, fire performance of timber, textile reinforcement, and CO2 sequestration. These works emphasize sustainability, structural performance, and digital engineering, reflecting a strong trend toward smart, resilient, and environmentally responsible infrastructure. Fellow, Institute of Engineers Australia (2023–present) Chartered Professional Engineer, IEAust (2023–present) School of Engineering Mid-Career Researcher Award, Swinburne (2023) Editor's Choice Award, Canadian Geotechnical Journal (2012) Multiple Teaching Excellence Awards, Swinburne University Professor Rajeev actively supervises over 20 HDR students and leads major research grants from the Australian Research Council, CRCs, and industry partners. His leadership extends to directing the Trimble Technology Lab and co-leading the Centre for Sustainable Infrastructure. His work bridges academia and industry, advancing digital construction and sustainable infrastructure solutions.

• Chemical and Bioprocess Engineering
• Process Monitoring and Control
• Process Analytical Technology (PAT)
• +۵ مورد دیگر

Michal Dabros is an Associate Professor at the ChemTech - Institute of Chemical Technologies within HES-SO (University of Applied Sciences and Arts Western Switzerland) . His work spans chemical and bioprocess engineering, focusing on thermal safety, process analytical technology (PAT), and sustainable chemistry solutions. Education : MSc HES-SO in Life Sciences, BA HES-SO in Architecture Research Interests : Process monitoring, bioplastic development, nanoparticle synthesis, and reactor design for industrial applications. Recent Research Trends include continuous flow reactors for heterogeneous reactions, waste valorization via bio-cementation, and automation in bioprocesses. His publications emphasize sustainability, safety, and digital advancements in chemical engineering. Project Leadership involves international collaborations such as bio-cementation for construction materials and automated hydroponic systems in Haiti. He also contributed to remote laboratory platforms and thermal safety modeling.

Csorba Kristófمشاهده پروفایل

دانشیار

• Pattern Recognition
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Kristóf Csorba is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics. His work bridges pattern recognition , machine learning , and image processing with applications in pharmaceutical process monitoring, swarm robotics, and embedded systems. He leads the Applied Mobile Research Group (AMORG) and develops smartphone-based sensor networks for tasks like object tracking and 3D mapping . Current research focuses on smart camera networks using Android smartphones Expertise in deep learning , 3D reconstruction , and real-time feedback control for industrial processes Collaborates on medical imaging (e.g., cardiac MRI analysis) and material science projects (e.g., void detection in solder joints) His publications highlight viscosity estimation via CNNs , Raman/NIR spectroscopy for dissolution prediction , and energy-efficient mobile computation . Co-author on 50+ works with over 13,962 reads and 395 citations. Key collaborators include Gábor Knyihár , Mohamed Azouz Mrad , and Hassan Charaf .

• Chemometrics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Rasmus Bro is a Professor at the University of Copenhagen , Faculty of Sciences , and leads the Design and Consumer Behavior section within the Department of Food Science . He is a world-renowned expert in chemometrics and machine learning applied to analytical chemistry and food supply chain optimization . Research Focus : Chemometrics, Process Analytical Technology (PAT), multi-way analysis, fluorescence spectroscopy, and data-driven modeling of biological systems Teaching : Director of the International MSc course Advanced Chemometrics and International PhD School of Chemometrics (12 ECTS annually) Leadership : Founder and leader of the ODIN research consortium (2001–), connecting academia and industry (Arla, Dupont, Chr. Hansen) His work bridges machine learning with analytical chemistry to enhance food quality and safety. He has developed open-source MATLAB toolboxes for multi-way analysis and maintains key web resources like ChemoBro and Chemometrics World . Scientific Awards : 10th Herman Wold Gold Medal (2011) Nils Foss Excellence Prize (2016) IEEE Best Paper Award (2001) Elsevier Chemometrics Award (2000) PhD Cum Laude (University of Amsterdam, 1998) Beyond academia, Bro co-founded MedicoMetrics Aps and serves as a consultant to firms like Foss Analytical and Eigenvector Research . His 2003 US Patent on biological sample classification remains widely cited.

• Analytical Chemistry
• Chemometrics
• Multivariate Data Analysis
• +۳ مورد دیگر

Marina Cocchi is a Full Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia. She specializes in Analytical Chemistry (CHEM-01/A) and maintains an active teaching schedule for the 2025 academic year across multiple degree programs. Her research interests focus on advanced analytical methodologies including chemometrics, multivariate data analysis, and experimental design. Professor Cocchi's expertise spans sampling theory, quality assurance in analytical laboratories, and application of separation techniques (GC, HPLC) and spectroscopic methods (IR, NIR, Raman) for analysis of complex matrices including food products, fertilizers, and environmental samples. Professor Cocchi maintains regular office hours on Tuesdays (12:00-13:00) and Thursdays (14:30-16:30) at her office located on the first floor of Via Campi 103. Her teaching methodology combines theoretical instruction with hands-on laboratory work, emphasizing practical application of analytical protocols for real-world sample matrices. She utilizes various chemometric software tools including PLS-Toolbox for MATLAB in her instruction and research, with applications spanning quality by design (QbD), process analytical technology (PAT), and multivariate calibration techniques.

Beata Rukowiczمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Separation Processes
• Biochemical Engineering
• +۳ مورد دیگر

Dr. Eng. Beata Rukowicz is an academic researcher at the Department of Process Engineering, Institute of Chemical Technology and Engineering, Faculty of Chemical Technology, Poznań University of Technology. She is also a member of the Faculty Program Council for the Chemical and Process Engineering program and the University Recruitment Committee. Her work focuses on advanced separation techniques for bioconversion products and sustainable chemical processes. PhD in Technical Sciences (Chemical Technology) from 2016 Her research interests include separation of bioconversion products, preparative chromatography, ion exchange, extraction methods, analytical chromatography, and kinetics of chemical reactions. Recent work emphasizes electrodeionization for bio-based chemical purification, desalination of fermentation broths, and real-time quality control in chemical processes. The 15 most recent publications highlight her expertise in bioconversion product separation (e.g., erythritol, succinic acid, 1,3-propanediol) using reactive extraction, electrodialysis, and electrodeionization. Trends span sustainable chemistry, industrial biotechnology, and membrane technologies for environmental applications.

• Process Automation
• Analytical Chemistry
• Sustainable Technologies
• +۷ مورد دیگر

Vorlet Olivier is an Associate Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO), affiliated with the Fribourg School of Engineering and Architecture under the ChemTech Institute. His research spans process automation, analytical chemistry, and sustainable technologies, with a focus on counterfeit drug detection, membrane technology for winemaking, and digitalization in industrial processes. His work includes developing low-cost capillary electrophoresis devices (OpenCE) for resource-limited settings, utilizing IoT for material shelf-life monitoring, and innovating membrane contactors for gas management in wines. He has also contributed to renewable energy projects like solar hydrogen production via hematite photoanodes and CO2 capture using ionic liquids. Key publications highlight his expertise in flow chemistry, spectroscopy, and process analytical technologies (PAT). Vorlet's collaborations with institutions like EPFL and projects funded by HES-SO Rectorat and industry partners underscore his role in bridging academic research with industrial practice. He employs open-source hardware/software frameworks to enhance device maintainability and accessibility in developing regions.

Marjatta Louhi-Kultanenمشاهده پروفایل

دانشیار

• Chemical Engineering
• Separation Science
• Crystallization Technology
• +۳ مورد دیگر

Marjatta Louhi-Kultanen is an Associate Professor of Chemical Engineering in Aqueous Systems at Aalto University's School of Chemical Engineering. Her research focuses on separation science, purification technologies, and zero-discharge effluent strategies through crystallization and advanced oxidation processes. Areas of Expertise: Separation Science 215 Chemical Engineering 2 Engineering and Technology Her work emphasizes batch cooling crystallization, wastewater treatment, and real-time process monitoring using Raman spectroscopy and process analytical technology (PAT). Recent publications address pharmaceutical crystallization, industrial side-stream valorization, and freeze concentration methods for biochemical recovery. Key collaborations include projects on lithium carbonate precipitation, biorefinery solvent recovery, and eutectic freeze crystallization for metallurgical waste. She contributes to international workshops (BIWIC) and co-edits special issues on industrial crystallization advancements.

Regine Eibl-Schindlerمشاهده پروفایل

استاد

• Bioreactor Engineering
• Tissue Engineering
• Biopharmaceutical Production
• +۴ مورد دیگر

Regine Eibl-Schindler is a Professor at the Zurich University of Applied Sciences (ZHAW) , School of Life Sciences and Facility Management. She leads the Center for Cell Cultivation Techniques, Tissue Engineering and Medical Biology, focusing on advanced bioreactor design and biopharmaceutical production processes. Project leader in bioreactor optimization for therapeutic cell production Deputy leader in vaccine and antibody manufacturing innovations Co-developer of single-use systems for stem cell and microbial cultures Her research spans bioreactor engineering , computational fluid dynamics (CFD) modeling , and process intensification for scalable cell culture systems. She has pioneered microcarrier-based cultivation of induced pluripotent stem cells and mesenchymal stem cells , emphasizing xeno-free media and disposable technologies. Recent work includes automated bioreactor qualification and shear stress optimization for cell growth. Her expertise in single-use bioreactors has been applied to diverse fields including cell therapy manufacturing , vaccine development , and cellular agriculture for clean meat production. She developed standardized qualification protocols for novel bioreactor designs and advanced process analytical technology (PAT) for real-time cell health monitoring. Key collaborations include optimizing CHO cell antibody production , HEK293 cell expansion , and plant cell bioreactors for pharmaceutical and food applications. Her work bridges bioprocess engineering with regenerative medicine , ensuring compliance with regulatory standards through rigorous CFD simulations and scale-up methodologies .

Christopher McDowellمشاهده پروفایل

استاد

• Engineering Education
• Bioprocessing
• Sustainability
• +۳ مورد دیگر

Christopher McDowell is the Joseph H. Collie Professor of Chemical Engineering at Virginia Tech. He holds a B.S. in Chemical Engineering from Virginia Tech (1992) and a Ph.D. from North Carolina State University (1998). His research focuses on Engineering Education, Bioprocessing, and Sustainability, with recent emphasis on machine learning-driven solutions for fermentation process optimization and foaming control. His early work pioneered polymer characterization techniques for acetone sorption and thermal transitions in copolyesters. McDowell’s research portfolio spans two decades, blending cutting-edge machine learning methodologies with foundational polymer science. His recent projects address industrial fermentation challenges through advanced data analytics, while his earlier contributions advanced understanding of polymer structure-property relationships and material durability. He has developed automated testing systems for polymer sorption kinetics and collaborates with industry on scalable bioprocessing solutions. Notable contributions include ensemble learning approaches for fermenter classification (2019-2023) and groundbreaking studies on copolymer thermal behavior (1996-1999). His work bridges chemical engineering fundamentals with modern data science, emphasizing practical industrial applications and sustainable manufacturing practices.

Lorie M. Liebrockمشاهده پروفایل

استاد

• Cybersecurity
• Parallel Processing
• Graphics and Visualization
• +۴ مورد دیگر

Lorie M. Liebrock is a Professor and Director of the Cybersecurity Centers at the Department of Computer Science and Engineering within the College of Engineering at New Mexico Institute of Mining and Technology (New Mexico Tech). She holds a Professor rank with no indication of part-time status. Education: B.S. and M.S. from Michigan Technological University, Ph.D. from Rice University Research Interests: Cybersecurity, Graphics and Visualization, Parallel Processing, and Well Posedness Analysis Her research focuses on parallel computing with emphasis on problem topology for automated data distribution in composite grid applications. She developed algorithms for irregular mesh problems in domains like aircraft aerodynamics and nuclear reactor simulations, creating program templates and style guidelines for High Performance Fortran transformations. Collaborative work with Pat Teller at UTEP explores adaptive parallelization techniques for evolving computational environments. In cybersecurity, her work spans browser security analysis , malware visualization , cloud permission management , and user authentication graph analysis . Google Scholar articles (2016–2025) reflect expertise in machine learning for security classification, digital forensics infrastructure, and hypervisor-assisted malware analysis. Her academic contributions include publications on SPMD hybrid parallel computation , RAID system forensics , and noise reduction in Linux environments . Though no personal scientific awards are explicitly mentioned, her leadership as Cybersecurity Centers Director and involvement in NSF REU programs underscores institutional recognition of her expertise.

Carl A. Andersonمشاهده پروفایل

استادیار

• Pharmaceutical Manufacturing
• Process Analytical Technology (PAT)
• Quality by Design (QbD)
• +۳ مورد دیگر

Carl A. Anderson is an Assistant Professor of Pharmaceutical Science at Duquesne University's School of Pharmacy. He joined the faculty in 2002 and is a founding member of the Duquesne University Center for Pharmaceutical Technology (DCPT). His research focuses on advancing process analytical technology (PAT), quality by design (QbD), and pharmaceutical manufacturing optimization. Prior to academia, he spent seven years at Aventis Pharmaceuticals, leading teams to develop PAT-based methods for the first PAT-implemented processes in the company. He currently serves on the ASTM E55 committee and previously contributed to revisions of USP standards through the NIR Validation Working Group. Educations: Ph.D., Chemistry, The University of Texas at Austin, 1995 B.S., Chemistry, California State University-Fullerton, 1990 Research Interests: Anderson’s work emphasizes bridging analytical chemistry with pharmaceutical manufacturing challenges. Key areas include PAT tool development, real-time process monitoring, and risk-based quality management systems. His team applies cutting-edge techniques like near-infrared (NIR) spectroscopy and terahertz imaging to enhance understanding of drug formulation physics and chemistry. Grants & Collaborations: 2015: Bristol-Myers Squibb Graduate Student Fellowship (PI) 2015: FDA-funded QbD process development study (Co-PI) 2014: NIPTE-funded training module development (Co-PI) Labs & Teams: Leads the DCPT, a hub for pharmaceutical technology innovation, and collaborates with industry partners like Aventis and Bristol-Myers Squibb. His work integrates academic research with industrial applications, focusing on continuous manufacturing and PAT adoption.

Yuanyuan Puمشاهده پروفایل

عضو هیئت علمی

• Food Science
• Food Engineering
• Spectral Sensing Technology
• +۴ مورد دیگر

Dr. Yuanyuan Pu is an Assistant Lecturer in the Department of Land Sciences at South-East Technological University. She holds a PhD in Biosystems and Food Engineering from University College Dublin (2017) and completed postdoctoral research at Teagasc Moorepark Food Research Center (2018–2019). She was awarded a Marie Skłodowska-Curie Fellowship (2020–2023), during which she conducted research at the University of Cordoba and collaborated with an Irish dairy company. She currently manages the Marie-Curie Alumni Association-Ireland Chapter. Her research focuses on spectral/imaging sensing technologies combined with machine learning for food quality analysis, process analytical technology (PAT) in food processing, and green technologies like microwave vacuum drying. She also specializes in predictive modeling and data visualization. Her work aligns with UN SDGs related to food security and sustainable consumption. Research Trends: Recent publications emphasize deep learning applications in seed phenotyping, multispectral techniques for citrus quality, and sensor development for dairy processing. Her work bridges academia and industry, addressing challenges in food safety and efficiency. Awards: Marie Skłodowska-Curie Fellowship (2020–2023) Teaching & Projects: Teaches courses on food processing technologies and project management. Leads projects integrating PAT tools and sustainable processing methods. Collaborates with industry partners for technology transfer. Labs/Teams: Involved in interdisciplinary teams at Teagasc, University of Cordoba, and Irish dairy industries.

• Biomanufacturing
• Bioprocess Optimization
• Process Analytical Technology (PAT)
• +۷ مورد دیگر

Dr. Jessica Whelan is an Assistant Professor and Head of School at the School of Chemical and Bioprocess Engineering, University College Dublin. She holds a BE (Chemical) and PhD from UCD, specializing in bioprocess optimization and PAT-enabled control systems. Her career spans academic and industrial roles, including leadership at APC and Bristol Myers Squibb. Research focuses on biologics manufacturing, advanced therapies, and process analytical technologies. Education: PhD in Bioprocess Optimization (UCD, 2008) BE (Chemical Engineering, UCD, 2002) Professional Certificates in University Teaching & Learning Research Interests: Process analytical technology (PAT) Advanced process control Bioprocess modeling and optimization AAV and monoclonal antibody production Scale-up/down strategies Grants & Projects: PROSPLIGN: Valorizing lignin biodiversity (€3M, Horizon Europe, 2024–2026) Investigating foam fractionation for pharmaceuticals (Science Foundation Ireland, 2024–2025) School Startup Account funding (UCD, 2020–2024) Teaching Contributions: Coordinates modules on biopharmaceutical engineering, GMP manufacturing, and work placements Developed the Professional Certificate in Cell and Gene Therapy Manufacture Labs & Teams: Affiliated with the BioRes research group at UCD, focusing on bioprocess innovation and advanced therapy manufacturing.