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Magda BareckaView profile

Assistant Professor

• CO2 Electroreduction
• Electrochemical Engineering
• Sustainable Chemical Production
• +3 more

Magda Barecka is an Assistant Professor in Chemical Engineering at Northeastern University, with a joint appointment in Chemistry and Chemical Biology. She leads the Barecka Lab, focusing on electrochemical methods to transform CO2 into sustainable chemical building blocks. Her research aims to enable a carbon-neutral economy through innovations in CO2 electrolysis, supported by grants from DOE and ARPA-E. She holds a PhD from TU Dortmund University (2017), MSc and BSc from Lodz University of Technology (2013, 2012). Education: PhD, Chemical Engineering, TU Dortmund University, Germany (2017) MSc, Chemical and Process Engineering, Lodz University of Technology, Poland (2013) BSc, Environmental Engineering, Lodz University of Technology, Poland (2012) Research Interests: Electrochemical CO2 conversion, sustainable chemical production, process intensification, and carbon capture technologies. Her lab develops novel electrochemical systems and modeling tools to scale CO2-to-chemical technologies for industrial applications. Grants & Projects: $986,200 DOE grant for Modular Electrochemical Ethanol Production (2024) $500,000 ARPA-E grant for High-Throughput Electrochemical Modeling (2023) Lab & Team: The Barecka Lab includes PhD students Erin, Daniel Sekyere, Max Moran, Nich Nearyrat Phalkun, William Cannon, and Emilly Dorneles. The lab collaborates on interdisciplinary projects at the intersection of electrochemistry, materials science, and sustainability.

• Process Systems Engineering
• Modular Process Intensification
• Energy Systems Decarbonization
• +3 more

Yuhe Tian is an Assistant Professor in the Department of Chemical and Biomedical Engineering at West Virginia University (WVU), holding the Stuart and Karen Goodman Faculty Fellowship. She leads the INnovation-driven Sustainable SYSTems (INSSYST) group, focusing on systems engineering tools for process innovation, energy efficiency, and sustainable systems. Her research integrates mechanistic/hybrid modeling, optimization algorithms, and multi-scale approaches for modular process intensification and decarbonization. Education: Ph.D., Chemical Engineering, Texas A&M University (2021); B.E., Chemical Engineering, Tsinghua University (2016). She teaches undergraduate and graduate courses including CHE355 (Process Simulation) and CHE593C (Advanced Process Systems Engineering). Her team collaborates with the AIChE RAPID Institute on process intensification education and software development. Research interests include modular process intensification synthesis, fault-prognostic control, energy systems decarbonization, and machine learning in data-scarce regimes. Key contributions include the SYNOPSIS framework for operable system synthesis and publications in Computers & Chemical Engineering , AIChE Journal , and Chemical Engineering Science . She advises multiple PhD and MS students and has openings for researchers. Awards: Stuart and Karen Goodman Faculty Fellow. Grants and collaborations involve energy systems, process safety, and AI-driven optimization. Her work bridges theoretical advancements with industrial applications in chemical and energy sectors.

Seyed Soheil MansouriView profile

Associate Professor

• Process Design
• Bioprocess Engineering
• Process Systems Engineering
• +5 more

Seyed Soheil Mansouri is an Associate Professor at the Department of Chemical and Biochemical Engineering, Technical University of Denmark. He holds a PhD (2016) and MSc (2013) from DTU. His expertise spans process design, bioprocess engineering, and quantum computing applications in chemical systems. He leads the KT Consortium PROSYS - Process and Systems Engineering Centre. Research focuses on sustainable biomanufacturing, data-driven modeling, and quantum computing for process optimization. Key areas include photobioreactor design, machine learning in biosystems, and hybrid quantum-classical algorithms. He has supervised 14 PhD projects and co-authored 182 publications. Awards include Best Contributed Paper (2018), Best Oral Presentation (2015), and multiple best presentation awards. Active in organizing workshops on quantum computing and biorefineries. Advises on modular manufacturing, bio-succinic acid production, and AI-driven process systems. Develops digital twin technologies for bio-manufacturing and promotes open innovation. His work aligns with UN Sustainable Development Goals, emphasizing education and sustainable industrial practices. Current projects explore quantum computing in bioprocesses and modular vaccine production units.

Bernhard SeyfangView profile

Professor

• Chemical Reaction Engineering
• Extraction Centrifuges
• Hydrogen Production
• +3 more

Prof. Bernhard Seyfang is a Professor of Chemical Engineering at TH Bingen since 2018, concurrently serving as Head of the Energy and Process Engineering (B.Sc.) program and Senate member. He holds a doctorate from ETH Zurich/Paul Scherrer Institute and has professional experience with Enymotion GmbH and Lonza AG. He also serves as a guest lecturer in the Chemical Engineering Master's program at the University of Innsbruck. Education: Bachelor/Master in Chemical Engineering, University of Karlsruhe (TH) Doctorate in Chemical Engineering, ETH Zurich/Paul Scherrer Institute Research Focus: His work spans chemical reaction engineering, extraction centrifuges, hydrogen production, fuel cell technologies, and decarbonization strategies. He emphasizes process optimization and modular system design, with notable contributions to PEM fuel cell water management and microstructural innovations. Publications: His research traces advancements in fuel cell diagnostics (2007–2009), 3D-printed materials (2020), and process design software (2021). Key themes include energy system efficiency, material characterization, and modular manufacturing strategies. Professional Roles: Editor-in-Chief of ChemEngineering journal, industry collaborations with Enymotion and Lonza AG, and academic leadership in program development and strategic Senate governance. Labs/Teams: Active in interdisciplinary teams at TH Bingen focusing on decarbonization (Decarbon Cast initiative) and modular chemical processing systems.

Ignasi Palou-RiveraView profile

Adjunct Professor

• Process Intensification
• Chemical Engineering
• Sustainability Analysis
• +4 more

Dr. Ignasi Palou-Rivera is an Adjunct Professor in the Department of Chemical and Biological Engineering at Illinois Institute of Technology's Armour College of Engineering. He serves as Executive Director and Chief Technology Officer of the RAPID Manufacturing Institute®, a DOE-funded initiative advancing modular chemical process intensification (MCPI). His career spans over 20 years in process development and optimization across industries including oil refining, biofuels, and sustainability analysis. Education includes a Ph.D. in Chemical Engineering from University of Wisconsin-Madison (1998), post-doctoral work at MIT (2001-2002), and a Chemical Engineering degree from Universitat Politècnica de Catalunya (1991). His work integrates computational tools with industrial applications, focusing on techno-economic analysis, lifecycle assessment, and refinery planning. Research interests emphasize sustainable manufacturing systems, process intensification technologies, and bridging innovation to commercialization. He leads RAPID's efforts to accelerate adoption of advanced chemical processing methods through public-private partnerships. His contributions include development of lifecycle analysis frameworks for biofuels and shale gas, as well as refinery optimization algorithms. Key publications span process intensification strategies, biofuel lifecycle assessments, and energy efficiency improvements. He holds patents related to bioreactor systems and wafer edge characterization. Professional service includes leadership roles in AIChE's Computing & Systems Technology Division and Sustainable Engineering Forum.

• Molecular Nanoscience
• Asymmetric Catalysis
• Molecular Switches and Motors
• +6 more

Ben L. Feringa serves as the Jacobus H. van't Hoff Distinguished Professor of Molecular Sciences at the University of Groningen, holding a full professorship in the Department of Organic Chemistry since 1988. His Nobel Prize-winning discovery of molecular motors established foundational principles in molecular nanoscience, driving innovations in dynamic molecular systems and asymmetric catalysis. His educational foundation was built through undergraduate and graduate studies culminating in a 1978 PhD from the University of Groningen under Hans Wynberg, with thesis work on Asymmetric Oxidations of Phenols . Research centers on four interconnected domains: Molecular Nanoscience : Design of light-driven rotary/translational motors, molecular switches, and responsive materials for artificial muscles and nanomechanical systems Asymmetric Catalysis : Development of chiral phosphoramidite ligands and organolithium methodologies for enantioselective synthesis Biohybrid Systems : Photopharmacology applications including light-activated drug delivery and membrane-integrated molecular motors Sustainable Chemistry : Flow photochemistry for green synthesis and bio-based coatings development Chirality serves as the unifying thread across all research, encompassing chiroptical phenomena, chiral amplification, and homochirality origins. Recent publications (2023-2025) demonstrate accelerating integration of molecular motors into biological contexts—particularly in lipid membranes and cellular uptake mechanisms—while advancing sustainable methodologies like modular flow reactors for hydrogen peroxide production. The work increasingly bridges nanotechnology with medical applications through photopharmacology. His exceptional contributions are recognized by: Nobel Prize in Chemistry (2016) Spinoza Award (2004) Prelog Gold Medal (2005) Humboldt Award (2012) Over 40 additional international honors Funding and mentorship reflect global impact: ERC Advanced Grants and NWO Gravity Program (€26M co-recipient) Industry partnerships with AkzoNobel, BASF, Shell via ARC CBBC China Scholarship Council collaborations Co-founding SELACT (now KIADIS) and Center for Systems Chemistry The Feringa group operates within the Stratingh Institute for Chemistry and Zernike Institute for Advanced Materials, maintaining multidisciplinary teams across molecular nanoscience, catalysis, and sustainable chemistry subprograms while directing the national ARC CBBC research center.

Roger C. LoView profile

Professor

• Microfluidics
• High-throughput Separation
• Chemical Detection
• +3 more

Dr. Roger C. Lo is a Professor in the Department of Chemical Engineering at California State University, Long Beach, where he has been a faculty member since 2009. His office is located in EN2-100, and he can be reached at roger.lo@csulb.edu with office hours on Tuesdays and Wednesdays from 9:00 to 12:00 pm. Dr. Lo's educational background includes: Ph.D. in Chemical Engineering, Texas A&M University (2008) His research spans microfluidics, renewable energy, and engineering education, with core expertise in developing microfluidics-based systems for high-throughput separation and detection of chemical/biological species. His work extends to modular reaction platforms, hydrogen production via electrolysis, and curriculum development for biobased materials. The research demonstrates strong interdisciplinary connections between chemical engineering fundamentals and emerging applications in diagnostics and sustainable energy. Analysis of Dr. Lo's publication trends reveals an evolution from foundational DNA electrophoresis and microchip separation techniques (2004-2013) toward diversified applications in renewable energy systems and educational methodologies. Recent work (2021-2024) prominently features hydrogen production optimization, pandemic-era online education assessment, and mechatronics workshop development, reflecting adaptability to contemporary engineering challenges while maintaining microfluidics as a unifying thread. Dr. Lo leads the "Microfluidics@ the Beach" research group, which serves as an integrated hub for technology development, curriculum innovation, and educational outreach in microfluidics. The group maintains an active online presence through its dedicated website (http://www.microfluidics-at-the-beach.net), facilitating knowledge dissemination and collaborative opportunities in microscale engineering systems.

Günter WoznyView profile

Professor

• Process Optimization
• Process Simulation
• Integrated Processes
• +7 more

Prof. Dr. Günter Wozny is a Professor at Technische Universität Berlin, affiliated with Faculty III and the Institute for Process and Plant Engineering. He served as a former member of the UniCat Cluster of Excellence's Executive Board (2008-2012). His research focuses on process optimization, simulation, integrated processes, information management, system dynamics, and thermal separation techniques. His work spans fields like oxidative coupling of methane (OCM), membrane reactors, CO₂ capture, and process intensification. Key contributions include advancements in reactor engineering, separation technologies, and energy-efficient processes. Notable awards include the Cross of Merit of the Republic of Poland (2016) for fostering scientific exchange between Germany and Poland. He has supervised prominent students like Mariano Nicolas Cruz Bournazou, who received the Chorafas Prize for his thesis work. Collaborations with industry partners like Siemens and Endress+Hauser have driven applied research. Wozny leads the FG Dynamik und Betrieb group and has pioneered the development of UniCat’s miniplant for OCM process studies. His publications emphasize robust optimization methods, CFD modeling of fluidized beds, and techno-economic evaluations of industrial processes. He has authored over 220 papers and holds patents for OCM-related technologies, such as oxidative conversion methods and reactor designs.

• Continuous Manufacturing
• Pharmaceutical Synthesis
• Emulsion Science
• +3 more

James Ferri, Ph.D. is a Professor in the Department of Chemical & Life Science Engineering at Virginia Commonwealth University (VCU). He specializes in chemical engineering with a focus on continuous manufacturing, pharmaceutical synthesis, and interfacial phenomena. His research explores advanced processes such as flow chemistry, 3D-printed unit operations, and microgravity experiments for emulsion stability analysis. Ferri also contributes to STEM education through interdisciplinary curricula integrating science and history. Key Research Areas: Emulsion science, nanoparticle technology, process intensification, and machine learning in chemical engineering Notable Projects: Development of modular albuterol manufacturing systems and microgravity-based emulsion studies on the ISS Technical Expertise: Diffusing wave spectroscopy, 3D printing applications, and material characterization His work bridges fundamental research and industrial applications, advancing pharmaceutical production efficiency and sustainability. Ferri's contributions to educational innovation include Culturally Relevant STEM (CReST), an integrated high school curriculum combining chemistry and world history.

Yong-Ha KimView profile

Assistant Professor

• Colloid and Surface Science
• Radiation Chemistry
• Environmental Engineering
• +2 more

Yong-Ha Kim is an Assistant Professor in the Department of Environmental Sciences at Louisiana State University. His research focuses on colloid and surface science, radiation chemistry, and environmental engineering applications. Key areas include contaminant transport modeling, radiation dosimetry for indoor air quality, and chemical process intensification. Dr. Kim holds a B.S. in Civil and Environmental Engineering from Jeju National University (2007), an M.S. in Environmental Engineering from Seoul National University (2009), and a Ph.D. in Environmental Engineering from Georgia Institute of Technology (2016). His publications demonstrate strong interdisciplinary work, particularly in atmospheric particle dynamics and electrochemical water treatment technologies. Recent research trends show integration of radiation physics with environmental systems and development of sustainable desalination methods.

• Chemical Engineering
• Process Intensification
• Plasma Technology
• +3 more

Georgios Stefanidis is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Chemical Engineering and the Department of Analysis, Design and Development of Processes and Systems. His research focuses on process intensification, plasma-driven chemical conversions, ultrasonic and microwave applications, and sustainable chemical manufacturing. He leads studies on non-oxidative methane coupling to ethylene, catalytic reactor design, and valorization of waste materials through advanced recycling techniques. His work integrates cutting-edge technologies like non-thermal plasma, acoustic cavitation, and computational modeling to enhance energy efficiency and resource utilization. Professor Stefanidis has contributed to advancements in sonochemical reactor modeling, microwave-assisted synthesis, and the development of novel reactor configurations such as rotary kiln-type systems. His research addresses global challenges in carbon utilization, renewable energy integration, and circular economy solutions. He currently holds the email address gstefani@mail.ntua.gr and is a full-time faculty member without part-time status. His recent studies include investigations into the electrification of CO₂-based methanol synthesis, plasma-catalytic methane conversion, and the application of artificial intelligence in crystallization processes. These efforts aim to bridge fundamental science with industrial-scale applications, emphasizing scalability and economic viability through techno-economic assessments and modular reactor design.

• Pharmaceutical Crystallization
• Bioprocess Engineering
• Process Modeling
• +7 more

Professor Brian Glennon is a distinguished academic at the University College Dublin (UCD), affiliated with the School of Chemical and Bioprocess Engineering. He holds the rank of Professor and has served in various roles, including Lecturer (1995–2004), Senior Lecturer (2004–2007), and Associate Professor (2007–2014) at UCD. His research focuses on bioprocess scale-up, pharmaceutical crystallization, process modeling, and continuous manufacturing. Glennon has extensive experience in academic leadership, including contributions to modularization and semesterization initiatives at UCD. Education: Glennon earned his BE and PhD degrees from University College Dublin. Research Interests: His work emphasizes optimizing pharmaceutical manufacturing processes, particularly crystallization, continuous flow chemistry, and computational modeling. He has pioneered methods for solvent swap systems, bubble column evaporators, and hybrid dynamic models for bioprocesses. Over 160 publications, including seminal studies on AAV purification and diastereomeric salt resolution, highlight his expertise in biopharmaceutical and chemical engineering. Grants & Collaborations: Glennon led projects such as the 'Design and Synthesis of Nanoparticles with Novel Cell Targeting Functionalities' (2009–2011) and an internal funding scheme (2016–2019). He collaborates with industry partners like Merck Sharp & Dohme and contributes to professional organizations including AIChE and Engineers Ireland. Teaching & Leadership: A champion of pedagogical innovation, Glennon has restructured curricula and promoted hands-on learning. He supervises PhD students and actively participates in academic governance, holding roles in Engineers Ireland and the European Federation of Chemical Engineering.

• Polysaccharide functionalization
• Hydrogel development
• Mass spectrometry
• +3 more

Dr. Gerald Dräger is a Researcher at the Institute of Organic Chemistry, Leibniz University Hannover, affiliated with the Faculty of Natural Sciences. He holds roles including Deputy Representative for Research Staff in the Faculty Council and Examination Board, and serves as a Safety Officer and member of the Synthetic Chemistry Group. His research focuses on polysaccharide functionalization for hydrogel development, mass spectrometry-based metabolite analysis, and terpene biosynthesis pathways. Dr. Dräger teaches courses such as Glycoscience, Organic Mass Spectrometry, and instrumental methods in chemistry. He leads the Department of Mass Spectrometry and contributes to collaborative projects on plant and marine metabolites. His work emphasizes bioorthogonal chemistry and hydrogel applications in tissue engineering. Over 114 publications demonstrate expertise in synthetic organic chemistry, enzymology, and biomedical materials science. His research highlights include modular polysaccharide systems for in vivo hydrogel formation and RGD-peptide decoration for bioactivity. Collaborations involve developing drug-releasing 3D-printed implants and analyzing stress responses in plants like beet cultivars. Dr. Dräger’s lab utilizes advanced techniques like click chemistry and flow synthesis, with applications in regenerative medicine and drug delivery systems.

Vemuri BalakotaiahView profile

Professor

• Chemical Engineering
• Catalysis
• Reaction Engineering
• +5 more

Dr. Vemuri Balakotaiah is a Professor and Hugh Roy and Lillie Cranz Cullen Distinguished University Chair in the William A. Brookshire Department of Chemical and Biomolecular Engineering at the University of Houston. He holds a Ph.D. in Chemical Engineering (University of Houston, 1982) and a B.Tech in Chemical Engineering from IIT Madras (1978). His research focuses on catalytic reactor design, cryogenic storage systems, and fluid dynamics in extreme conditions. Key research areas include: Autothermal and oxidative dehydrogenation processes using novel catalysts Electrified modular reactors for endothermic reactions Insulation strategies for large-scale liquid hydrogen storage Microgravity fluid mechanics from ISS experiments Multi-scale modeling of monolith and packed-bed reactors Recent publications highlight advancements in AI-driven process optimization, bifurcation analysis of reactor instabilities, and insulation material innovations. His work addresses energy transition challenges through sustainable chemical production and efficient hydrogen storage solutions. Recipient of the prestigious Cullen Chair distinction, his contributions have advanced reactor engineering and catalytic process design. Current projects explore synergies between AI modeling and experimental reactor validation, with emphasis on scalable clean energy technologies.

Mingjian WenView profile

Adjunct Assistant Professor

• Data-driven methods
• Machine learning
• Materials design
• +3 more

Mingjian Wen is an Adjunct Assistant Professor in the William A. Brookshire Department of Chemical and Biomolecular Engineering at the University of Houston, affiliated with the Cullen College of Engineering. He holds the Presidential Frontier Faculty Fellow title. His research focuses on developing data-driven and machine learning methods, molecular simulations, and open cyberinfrastructure to design materials and chemical reactions for renewable energy. He completed a postdoc at Lawrence Berkeley National Lab, a Ph.D. in Aerospace Engineering & Mechanics from the University of Minnesota, and a B.S. in Chemical Engineering from Tianjin University. Education: Ph.D., Aerospace Engineering and Mechanics, University of Minnesota-Twin Cities, 2019 B.S., Chemical Engineering, Tianjin University, 2012 Postdoc, Energy Technologies Areas, Lawrence Berkeley National Laboratory, 2022 Research interests emphasize integrating machine learning with computational chemistry to address challenges in renewable energy, materials design, and sustainable processes. His work spans uncertainty quantification in atomistic models, graph neural networks for molecular properties, and open-source tools like Atomate2 and Jobflow for materials informatics. Scientific awards include the University of Minnesota Doctoral Dissertation Fellowship and the UH Alternative Textbook Incentive Award. His lab ( wengroup.github.io ) explores interdisciplinary approaches to accelerate materials discovery through AI-driven methods. Dr. Wen’s contributions span computational workflows, hydrolysis energy predictions (HEPOM framework), and equivariant neural networks for crystal elasticity. His research bridges theory and application, aiming to advance sustainable energy technologies through advanced modeling and automation.