جست‌وجوی استاد و پژوهشگر

• Mass Transfer
• Heat Transfer
• Materials Science and Technologies
• +۳ مورد دیگر

Professor Jülide ERKMEN is a distinguished academic at Kafkas University's Faculty of Engineering and Architecture, Department of Chemical Engineering. She currently serves as a Professor (since 2024), Bologna Coordinator (since 2023), and has held multiple leadership roles including Department Head (2014-2017, 2019-2022) and Vice Dean (2015-2016). Educational Background: PhD in Chemical Engineering, Atatürk University (2008-2013) MSc in Chemical Engineering, Atatürk University (2001-2004) BSc in Chemical Engineering, Atatürk University (1993-2000) Professor ERKMEN's research focuses on Mass Transfer, Heat Transfer, and Materials Science and Technologies, with particular emphasis on sustainable materials development. Her work spans environmental applications including wastewater treatment, desalination technologies, and innovative composite materials derived from agricultural and animal waste. She has pioneered research in bipolar membrane electrodialysis for water purification and developed novel thermal insulation materials from natural resources. Her publication record shows consistent output with 41 publications including 22 journal articles, 16 conference papers, 2 books, and 1 book chapter. Recent work (2023-2025) demonstrates strong focus on sustainable materials, with multiple papers on insulation materials derived from agricultural waste, water treatment technologies, and corrosion protection. Her research integrates fundamental chemical engineering principles with practical environmental applications. Professor ERKMEN has successfully led 10 research projects, primarily focusing on sustainable materials and water treatment technologies, demonstrating her ability to secure research funding and translate theoretical knowledge into practical solutions. She has supervised three graduate students to completion and maintains active collaborations with researchers across Turkey. She teaches undergraduate courses including Separation Processes, Thermodynamics, and Mass Transfer, as well as graduate courses in Advanced Engineering Mathematics, Scientific Research Methods, and Composite Materials, shaping the next generation of chemical engineers while advancing her research agenda.

• Pharmaceutical Processes
• 3D Printing
• Drug Development
• +۱ مورد دیگر

Julian Quodbach is an Assistant Professor at the Division of Pharmaceutics , Utrecht Institute for Pharmaceutical Sciences ( Utrecht University ). He specializes in additive manufacturing (3D printing) for personalized medication and tablet disintegration phenomena . Education: PhD from Heinrich Heine University Düsseldorf Prior Positions: Postdoc at Uppsala University, research roles at Düsseldorf His research focuses on 3D printing for individual/small-batch medications , addressing challenges in process understanding , drug release , and clinical translation . He investigates tablet disintegration and pharmaceutical process optimization for personalized therapies . Recent publications analyze 3D printing applications across inflammatory bowel disease , parkinson's disease , and pediatric formulations , exploring machine learning and material science . Collaborations span Sweden , Germany , and Netherlands . He leads the Task Force Additive Manufacturing for APV e.V. and the Pharma3DPI workstream . His work addresses real-world challenges like process fluctuations , batch traceability , and tablet quality in additive manufacturing .

• Chemical Engineering
• Materials Science
• Pharmaceutical Chemistry
• +۳ مورد دیگر

Alberto Balfagón Costa is a Full Professor in the Department of Chemical Engineering and Materials Science at IQS School of Engineering , Ramon Llull University. His research spans multiple fields including encapsulation for controlled release , micro-reactor technology , chemical product formulation , and cosmological applications of General Relativity . Education: Chemical Engineer, IQS (1984) Degree in Chemical Sciences, University of Barcelona (1987) Degree in Physical Sciences, University of Barcelona (1993) PhD in Chemical Engineering, IQS (1993) Research Interests: Professor Balfagón Costa's work focuses on encapsulation systems for active ingredients and fragrances, micro-reactor design , and fine chemical flow synthesis . He also investigates cosmological models and black hole thermodynamics through General Relativity. His recent publications emphasize chitosan-based biomaterials for skin simulation and fragrance delivery systems. Collaborations & Projects: He leads the Pharmaceutical Chemistry Group (GQF) and has secured grants from AGAUR and Ramon Llull University for projects on lyophilization optimization, continuous flow chemistry, and pharmaceutical materials. His research output includes 15 publications since 2000, with 2023 articles on tri-layered membranes and anti-aging skin testing.

Alexander W. Dowlingمشاهده پروفایل

دانشیار

• Chemical Engineering
• Computational Optimization
• Machine Learning
• +۷ مورد دیگر

Prof. Alexander W. Dowling is an Associate Professor at the Department of Chemical and Biomolecular Engineering within the College of Engineering at the University of Notre Dame. He holds joint appointments with the Department of Applied & Computational Mathematics & Statistics and is affiliated with the Center for Sustainable Energy at Notre Dame (ND Energy) and the Center for Nano Science and Technology (ND nano). His research combines chemical engineering, computational optimization, machine learning, and data science across three core themes: (1) molecular-to-systems (multiscale) modeling and optimization, (2) optimal design of experiments and statistical inference, and (3) machine learning for bridging timescales. Dowling earned his Ph.D. in Chemical Engineering from Carnegie Mellon University (2015) and a B.S.E. from the University of Michigan-Ann Arbor (2010). His research applications span energy markets and infrastructure, integrated energy systems, carbon capture and sequestration, circular economies for refrigerants, sustainable hydrogen production, critical minerals, and advanced separation technologies like membranes and ionic liquids. Education Ph.D., Carnegie Mellon University, 2015 B.S.E., University of Michigan-Ann Arbor, 2010 His recent publications focus on multiscale modeling frameworks, Bayesian hybrid models for uncertainty quantification, and machine learning applications in energy systems and materials design. These works emphasize techno-economic analysis, dynamic process optimization, and uncertainty mitigation strategies. Scientific awards include the 2025 James A. Burns, C.S.C., Award and the 2020 NSF CAREER Award (CBET-1941596). He actively mentors graduate students and postdoctoral researchers, with lab alumni including Dr. Bridgette Befort (2022), Dr. Xian Gao (2022), Dr. Ke Wang (2025), and Dr. Jialu Wang (2024).

• Mathematics Education
• Elementary Mathematics Teaching
• Problem Solving
• +۴ مورد دیگر

Geneviève Barabé is an Adjunct Professor in the Department of Didactics at the Faculty of Education, Université de Montréal, specializing in elementary mathematics education. Her academic journey includes a dual bachelor's degree and master's in mathematics education from Université de Sherbrooke, followed by a PhD in educational sciences (mathematics didactics) from Université du Québec à Montréal. Her research focuses on mathematical activity nature , problem-solving instruction , mathematical investigation , and routine task exploitation in collective classroom settings. Key interests include productive struggle, collective mathematical problems, and epistemological foundations of mathematics teaching. Analysis of her 15 most recent publications reveals strong emphasis on collective mathematical activity (92% of works), routine task transformation (85%), and uncertainty emergence (78%) in elementary/secondary classrooms. Her work bridges theoretical epistemology with practical classroom applications. Scientific Awards: Dieter Lunkenbein Prize (AMQ) for best master's thesis in mathematics education in Quebec Dr. Barabé actively supervises graduate students in primary/secondary mathematics education research. Her current grants include a CRSH Exploration Grant (2025-2027) on productive struggle and a completed FRQSC project (2015-2022) on routine task exploitation. She directs the Laboratoire épistémologie et activité mathématique , focusing on collective mathematical practices and task evolution dynamics.

David Jonesمشاهده پروفایل

استاد

• Pharmaceutical Science
• Drug Delivery
• Biomaterials
• +۹ مورد دیگر

David Jones is a Professor at the School of Pharmacy Material and Advanced Technologies for Healthcare at Queen's University Belfast, United Kingdom. His research focuses on pharmaceutical sciences, biomaterials, and advanced drug delivery systems. He actively supervises PhD students and contributes to drug delivery innovation. Accepting PhD Students Research Areas: Drug Delivery, Biomaterials, Polymer Science, 3D Printing Technology Professor Jones has developed biocompatible implants for post-surgery pain control, mucoadhesive platforms for oral drug delivery, and advanced manufacturing techniques like hot-melt extrusion and 3D printing. His work spans therapeutic deep eutectic solvents , amorphous solid dispersions , and anti-infective biomaterials . His recent publications highlight trends in superhydrophobic materials for medical devices, hydrogel coatings , controlled release implants , and 3D-printed dosage forms . Articles emphasize polymer science applications in pharmaceuticals and thermal analysis for optimizing drug formulations. Scientific Awards Chapman Medal of the Institute of Materials, Minerals and Mining (2024) Griffith Medal of the Institute of Materials, Minerals and Mining (2019) Academy of Pharmaceutical Sciences Award Lecture (2023) Eli Lilly Award for Pharmaceutical Excellence (1997) British Pharmaceutical Conference Science Medal (1997) As a key investigator in projects like MICA: EnLAmB and KTP collaborations , Professor Jones leads advancements in affordable liposomal amphotericin B formulations and drug delivery technologies. His work has significant health and economic impacts , including the development of Cohesive Paste™ for stoma patients.

• Alzheimer's Disease Research
• Peptide Therapeutics
• Amyloid-β Oligomers
• +۴ مورد دیگر

Dr. Janine Kutzsche leads a research group at the Institute of Biological Information Processing - Structural Biochemistry (IBI-7) at Forschungszentrum Jülich, affiliated with Heinrich-Heine-Universität Düsseldorf's Faculty of Mathematics and Natural Sciences. Her research program focuses on developing D-enantiomeric peptide therapeutics for neurodegenerative diseases, particularly Alzheimer's disease. Dr. Kutzsche's primary research interest is in developing D-peptide compounds that specifically target toxic amyloid-β oligomers while sparing monomeric forms that may have neuroprotective functions. Her team identified D3 through mirror image phage display from a library of approximately one billion peptides. This innovative approach has yielded compounds with significant advantages over conventional therapeutic approaches: D-peptides demonstrate greater protease resistance and reduced immunogenicity compared to their L-enantiomeric counterparts. Her research spans from basic molecular mechanisms to preclinical animal studies and clinical translation, with D3 derivatives progressing toward human clinical trials. Analysis of Dr. Kutzsche's publication record reveals a consistent focus on Alzheimer's disease therapeutics, with recent expansion into related neurodegenerative conditions including Parkinson's disease and ALS. Her work demonstrates progression from in vitro characterization to animal models and clinical translation, with increasing focus on drug delivery optimization, pharmacokinetics, and expanding therapeutic applications beyond Alzheimer's disease. The research shows strong interdisciplinary collaboration across biochemistry, neuroscience, and clinical medicine. Dr. Kutzsche leads an active research team comprising current members including Ian Gering, Esther Wollert, and Markus Tusche, along with numerous alumni who have completed doctoral degrees under her supervision. Her work involves significant collaboration with Dr. Willuweit and Prof. Dr. Langen at Forschungszentrum Jülich and Prof. van Groen at the University of Alabama. The research has progressed to the point where a D3 derivative is anticipated for phase I clinical trials in humans, representing successful translation from basic research to potential therapeutic application.

Kyle Camardaمشاهده پروفایل

دانشیار

• Computational Molecular Design
• Optimization Algorithms
• Bioinformatics
• +۳ مورد دیگر

Kyle Camarda is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas. With a focus on computational molecular design and optimization algorithms, his research bridges chemical engineering, bioinformatics, and pharmaceutical development. He earned his B.S. from the University of California and M.S./Ph.D. from the University of Illinois at Urbana. Education: B.S. in Chemical Engineering, University of California M.S. and Ph.D. in Chemical Engineering, University of Illinois at Urbana Research Interests center on computational molecular design for pharmaceuticals and polymers, leveraging high-performance computing and optimization techniques like genetic algorithms and Tabu search. His work includes predictive modeling of molecular properties, multi-site collaborative design via Access Grid technology, and parallel computing applications in chemical engineering. Publications highlight interdisciplinary applications of optimization algorithms in pharmaceutical stabilization, surfactant design, catalytic materials, and soybean oil product development. His recent studies emphasize environmentally benign catalysts and metabolic network flux analysis.

Richard Lombardiniمشاهده پروفایل

استادیار

• Quantum Mechanics
• Computational Physics
• Theoretical Physics
• +۳ مورد دیگر

Richard Lombardini is an Assistant Professor of Physics at St. Mary's University in San Antonio, Texas, a position he has held since August 2013. Previously, he served as Assistant Professor and Chair of the Physics Department at Greenville College from 2009 to 2013, and completed a postdoctoral fellowship in computational chemistry and physics at Rice University under Bruce Johnson from 2006 to 2009. His academic credentials include: Ph.D. in Physics, Texas Tech University, 2006 B.S. in Mathematics and Chemistry, Texas Tech University, 1999 Lombardini's research spans theoretical and computational physics with emphasis on quantum mechanics. His work includes wavelet-based methods for quantum dynamics, quantum trajectory formulations for spin-1/2 systems, nanophotonics, and quantum dot spectroscopy. Recent publications (2023-2024) focus on interacting quantum trajectories and superconducting resonator modeling, while his emerging interest in Quantum Field Theory aims to develop undergraduate pedagogical approaches. Publication analysis reveals an evolution from foundational wavelet applications in quantum chemistry (2006-2010) toward current work on quantum trajectories and superconducting device physics. This trajectory demonstrates consistent innovation in computational algorithms for quantum systems, with increasing interdisciplinary collaboration spanning physics, chemistry, and engineering. No scientific awards were documented in the source material. Lombardini actively mentors undergraduate researchers across diverse theoretical and computational projects, explicitly welcoming work "of all shapes and sizes." His postdoctoral fellowship at Rice University indicates prior grant support, and his ongoing publication record suggests sustained research funding for computational physics initiatives. As a computational physicist, Lombardini maintains a research group focused on high-performance numerical simulations of quantum systems, with recent work involving collaborative development of the ARTEMIS framework for superconducting device modeling.

Sébastien Le Digabelمشاهده پروفایل

استاد

• Operations Research
• Mathematical Optimization
• Black-box Optimization
• +۵ مورد دیگر

Sébastien Le Digabel is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds affiliations with GERAD (Groupe d'études et de recherche en analyse des décisions) and IVADO (Institut de valorisation des données), where he contributes to research in optimization and artificial intelligence. Professor Le Digabel's research focuses on black-box optimization and derivative-free methods, particularly the Mesh Adaptive Direct Search (MADS) algorithm. His work spans three main areas: development of optimization methods, application to engineering problems, and development of optimization software. He has made significant contributions to extending MADS for constrained optimization, mixed-variable problems, multiobjective optimization, and stochastic optimization. His recent publications (2023-2025) demonstrate continued innovation in handling complex optimization challenges including categorical variables, hierarchical constraints, and multi-fidelity approaches. These works appear in top journals like Computational Optimization and Applications, SIAM Journal on Optimization, and Optimization and Engineering. Professor Le Digabel actively supervises graduate students, having completed 8 PhD theses and 10 Master's theses with topics spanning multiobjective optimization, hyperparameter tuning, smart grid applications, and power systems optimization. His research is supported by diverse funding sources including NSERC, FRQNT, InnovÉÉ, IVADO, Hydro-Québec, Rio Tinto, and Huawei-Canada, reflecting the broad applicability of his work across academic and industrial domains. Professor Le Digabel leads the NOMAD Research Group and is the primary developer of the NOMAD optimization software, which implements the MADS algorithm and serves as a standard tool in the derivative-free optimization community. The software is available at www.gerad.ca/nomad and continues to evolve with new capabilities for challenging optimization problems.

• Cognitive Psychology
• Psychological Research Methodology
• Applications of Mathematics in Psychology
• +۷ مورد دیگر

Dr. Borysław Paulewicz is an Assistant Professor in the Department of Experimental Psychology at Jagiellonian University's Faculty of Philosophy. Previously taught cognitive psychology and psychometrics at SWPS University for a decade. His work bridges cognitive psychology, mathematical methodology, and meta-theoretical foundations of psychology, with a focus on metacognition and causal inference. Current affiliations: Jagiellonian University, Faculty of Philosophy, Department of Experimental Psychology Past affiliations: SWPS University of Social Sciences and Humanities Research Interests: Specializing in causal/Bayesian inference applications, development of hierarchical generalized linear models, and formal definitions of measurement invariance. His projects explore metacognition, consciousness, and placebo mechanisms through National Science Centre grants (MAESTRO, HARMONIA, SONATA BIS/SONATA programs). Academic Contributions: Created R libraries for psychometric models, formulated causal-theoretical measurement frameworks, and authored a GitHub-hosted book on mathematics for psychologists. Published extensively in metacognition, signal detection theory, and causal modeling. Projects: Key investigator in studies on pain unlearning, metacognitive mechanisms, and cognitive control. Collaborated with Agata Blaut on emotional disorder biases, Michał Wierzchoń on consciousness, and Marta Siedlecka on metacognition.

• Veterinary toxicology
• Mycotoxins
• Animal feed safety
• +۳ مورد دیگر

Lukasz Zielonka is a Professor at the University of Warmia and Mazury (UWM) within the Faculty of Veterinary Medicine, specializing in the Department of Veterinary Prevention and Feed Hygiene. With over 97 publications and an H-index of 22 (WoS/Scopus), his research bridges veterinary toxicology and computational geometry. His work investigates mycotoxin interactions in livestock, particularly zearalenone and deoxynivalenol, while also advancing 2D/3D packing algorithms. He supervises 2 doctoral students and has promoted 2 doctors, supported by project funds and advanced lab infrastructure including cell culture facilities and LC-MS detectors. Current promoter for doctoral candidates Active researcher in Veterinary Medicine and Mathematics Research Interests Zielonka's veterinary research focuses on mycotoxin effects on livestock physiology, hormone homeostasis, and intestinal health, with applications in feed safety and animal welfare. His computational work explores perfect packing problems , optimizing geometric arrangements for squares, cubes, and polygons. Recent studies combine both fields through in vivo and in vitro models alongside algorithmic innovations. Publications 2024–2025 articles highlight zearalenone's impact on human cancer patients, deoxynivalenol biodegradation via insect biomass, and mathematical breakthroughs in hypercube packing. His 15 most recent works span Veterinary Medicine, Toxicology, and Computational Geometry, reflecting interdisciplinary expertise. Laboratory Infrastructure The laboratory provides cell culture facilities, TEER meter, ELISA reader, and QQQ LC-MS for analyzing mycotoxin metabolism, hormonal changes, and tissue interactions.

Lise Arlethمشاهده پروفایل

استاد

• Small-angle Scattering
• Biophysics
• Membrane Protein Research
• +۶ مورد دیگر

Lise Arleth serves as Professor in Experimental Biophysics and Associate Dean for Research at the Faculty of Science, University of Copenhagen, where she leads the X-ray and Neutron Science Group at the Niels Bohr Institute. Her academic career spans over two decades with progressive appointments from Assistant Professor to full Professor, including significant leadership roles such as Head of the PhD School at KU-Life and Head of Studies for Physics at the Niels Bohr Institute. Her educational background includes an M.Sc. in Physics and Mathematics from Roskilde University (1995) with international research stays in Paris, followed by a Ph.D. in Biophysics from Risø National Laboratory and the Royal Veterinary and Agricultural University (2002). Her postdoctoral training included positions at Los Alamos National Laboratory and multiple international research institutions. Arleth's research specializes in solution small-angle scattering techniques (SAXS and SANS) for investigating self-assembling and colloidal systems with biological, biotechnological, and pharmaceutical relevance. Her work focuses on lipid-protein co-structures including nanodiscs and high-density lipoproteins for membrane protein studies. She maintains strong engagement with major international facilities including the European Spallation Source (ESS) and Max-IV synchrotron, where she serves on multiple scientific advisory committees and the Max-IV Board. Her publication record includes 81 peer-reviewed papers with approximately 2,500 citations and an H-index of 27. Her research group maintains extensive national and international collaborations across academia and industry, particularly with Novo Nordisk, Novozymes, and Biomodics. She has secured substantial research funding totaling approximately 650,000 EUR annually, including major grants from the Danish Research Foundation, Innovation Fund Denmark, Novo Nordisk Foundation, and Lundbeck Foundation. As an educator, Arleth has supervised 14 PhD students (11 graduated) and 18 postdoctoral researchers, while teaching at all academic levels. Her administrative leadership includes serving on the NBI Research Council and Research Funding Committee since 2019, and previously leading large academic units serving over 700 PhD and 750 physics students.