جست‌وجوی استاد و پژوهشگر

• Optimization in structural elasticity and plasticity
• Dynamically loaded structures
• Mathematical programming
• +۳ مورد دیگر

Dr. LÓGÓ János is a Professor and Faculty Coordinator at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). With over three decades of academic service, his career spans roles from Assistant Professor (1990-1996) to Associate Professor (since 1996), alongside significant administrative contributions as Deputy Dean and Chairman of multiple committees. His research focuses on optimization in structural elasticity/plasticity, dynamically loaded structures, and mathematical programming, with extensive international collaborations including the University of Michigan. Key professional memberships: American Institute of Aeronautics and Astronautics (AIAA), American Society of Civil Engineers (ASCE), International Society for Structural and Multidisciplinary Optimization (ISSMO) Editorial roles: Editor of Periodica Polytechnica Civil Engineering (2004-present), Member of the Editorial Board for the International Journal of Structural and Multidisciplinary Optimization (2001-present) His scientific work reveals a consistent focus on reliability-based topology optimization, particularly for elasto-plastic structures under uncertain loading conditions. Over 60% of his recent publications address robust design methodologies incorporating probabilistic constraints, fatigue analysis, and multi-scale modeling. Notable subfields include stress-constrained optimization, graded infill structures, and seismic-resistant design frameworks using plasticity-based criteria. Dr. LÓGÓ received the Felvételi információ #építő250 ösztöndíj award and has contributed to structural optimization education through English-language program leadership. His teaching portfolio includes advanced courses in Plasticity and Structural Optimization , with earlier instruction in Structural Analysis. His research group actively explores mathematical programming applications to structural mechanics, maintaining collaborations with international institutions.

G. Mugeshمشاهده پروفایل

استاد

• Chemical Biology
• Bioinorganic Chemistry
• Medicinal Chemistry
• +۷ مورد دیگر

Professor G. Mugesh holds the Department of Inorganic and Physical Chemistry at the Indian Institute of Science, Bangalore . His research bridges chemical biology , bioinorganic chemistry , and medicinal chemistry to address biomedical challenges through redox regulation and nanomaterial engineering . Recipient of J. C. Bose National Fellowship (Second Term) and Swarnajayanti Fellowship Developed nanozymes for glutathione peroxidase , superoxide dismutase , and catalase mimicry Research focuses on thyroid hormone metabolism , reactive oxygen species detection , and ferroptosis regulation , with recent work on genetic code expansion for enhanced protein delivery . His iodine-substituted fluorescent probes revealed novel halogen bonding mechanisms in cell membrane transport . Key findings include: First chemical model for inner-ring deiodination of thyroxine Discovery of crystal facet-dependent catalytic activity in manganese oxide nanozymes Development of vanadia nanowires that modulate signaling pathways in pulmonary embolism models His group has received multiple grants from DST , DBT , and CSIR , with international collaborations like those with Hadassah Medical Organization . The team has established multidisciplinary laboratories for organic/inorganic synthesis and cell-based studies .

Santiago Muñoz Pascualمشاهده پروفایل

دانشیار

• Applied Mathematics
• Polymer Science
• Materials Engineering
• +۳ مورد دیگر

Santiago Muñoz Pascual serves as an Associate Professor in the Department of Mathematics and Computer Science at the Higher Polytechnic School of the University of Burgos. His research integrates applied mathematics with materials engineering, focusing on mathematical modeling of polymer systems and cellular structures to solve complex engineering challenges in foam technology and material science. Education: Doctorate (PhD) from Universidad de Valladolid (2021) with thesis titled "Study of the impact toughening of high-density polypropylene cellular polymers by using blends with thermoplastic elastomers," supervised by Dr. Miguel Ángel Rodríguez Pérez and Dr. Cristina Saiz Arroyo. His research centers on the mechanical behavior of polymeric cellular materials, particularly polypropylene-based foams. He investigates structure-property relationships through mathematical modeling, examining how microstructural features like cell interconnectivity, tortuosity, and morphology influence impact resistance, ductility, and mechanical performance under varying strain rates. His work bridges polymer physics, materials engineering, and computational mathematics to optimize foam manufacturing processes. Analysis of his publication record reveals consistent focus on polypropylene foam systems since 2014, with increasing sophistication in modeling gas-phase dynamics and processing parameters. Key contributions include elucidating the role of elastomer viscosity in injection-molded foams, demonstrating how long-chain branching enhances impact properties, and establishing fundamental relationships between cellular structure and mechanical behavior across low-to-high strain rates. His educational publications highlight innovative approaches to materials physics training. Scientific Awards: No scientific awards documented in available sources. Dr. Muñoz Pascual actively supervises thesis research and has developed internship frameworks connecting university education with industrial applications, as evidenced by his work on knowledge transfer at Universidad de Valladolid. While specific grant details aren't public, his research demonstrates sustained funding through consistent publication output and research group affiliation. He maintains strong industry-relevant research through practical training methodologies and materials engineering applications. He is a core member of the GMAMMI (Applied Mathematical Modelling of Materials and Engineering) research group, where he leads projects developing computational models for polymer foam behavior and contributes to multidisciplinary collaborations advancing cellular material design.

• Applied Mathematics
• Mechanics
• Mathematical Modeling
• +۳ مورد دیگر

Mikaël Barboteu is a Professor at the Université de Perpignan, affiliated with the LAMPS - Multidisciplinary Modeling and Simulation Laboratory and the Department of Mathematics and Computer Science within the Faculty of Science, Economics, and Engineering. His research focuses on mathematical and numerical modeling of contact mechanics problems, particularly addressing nonlinear, non-convex, and non-regular systems in mechanics. Thematic Axes: Mathematical and Numerical Modeling for Mechanics, Nonlinear Analysis and Optimization His work involves variational formulations, numerical approximation methods, and solving nonlinear problems using techniques like the Primal-Dual Active Set Method and Newton continuation. Recent research includes dynamic frictional contact modeling with applications to multi-contact structures like granular media. Recent Publication: Unified Primal-Dual Active Set Methods for dynamic frictional contact problems (2024), accepted in Fixed Point Theory and Algorithms for Sciences and Engineering. He is involved in the development of energy conservation algorithms and domain decomposition methods, contributing to the analysis of complex mechanical systems.

Martin Davidمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• Turbulence Modeling
• +۸ مورد دیگر

Martin David is an Associate Professor at the University of Perpignan Via Domitia in the LAMPS - Multidisciplinary Modeling and Simulation Laboratory . He holds a PhD in Thermal Engineering from the same university (2021), focusing on gas-pressurized solar receiver flows . As a Postdoctoral Researcher at Inria Bordeaux (2022-2024), he developed self-adaptive hybrid RANS/LES strategies based on physical criteria. Research interests include Computational Fluid Dynamics , Turbulence Modeling , Heat Transfer , Conjugate Heat Transfer , Uncertainty Quantification , and Multi-fidelity Approaches . His work bridges academic innovation and industrial applications , particularly in renewable energy systems and certified CFD development. His 15 most recent publications (2020-2024) demonstrate expertise in hybrid nanofluids , LES/DNS of solar receivers , self-adaptive algorithms , and machine learning integration for turbulence modeling. Key themes include thermal dissipation discontinuities , user-independent CFD , and multi-phase flow modeling . Scientific awards include: 26 million computational hours on DARI/PRACE projects Selection in GENCI annual report (2022) He supervises PhD students in topics ranging from high-performance computing to artificial intelligence in turbulence modeling . His teaching portfolio covers 560+ hours across CFD , Thermodynamics , Fluid Mechanics , and Renewable Energies at L1-M2 levels.

• Applied Mathematics
• Mechanical Engineering
• Contact Mechanics
• +۶ مورد دیگر

Dr. Serge Dumont is a Professor at the University of Perpignan, affiliated with the Multidisciplinary Modeling and Simulation Laboratory (LAMPS) and the MATH-INFO Department. His academic work focuses on mathematical and numerical modeling in mechanics. His research primarily addresses: Nonlinear analysis of contact and interface mechanics problems Optimization strategies for poorly conditioned linear systems Development of numerical methods for multi-contact structures Energy conservation algorithms in contact dynamics Current research themes include: Frictional contact problems Hyperelastic material modeling Applications to granular media and fluid/structure interactions Primal-dual active set methods Bipotential numerical approaches

Antonio Trujillo Ponceمشاهده پروفایل

استاد

• Banking Regulation
• SME Financing
• Credit Risk Analysis
• +۳ مورد دیگر

Antonio Trujillo Ponce is a Professor of Finance at Pablo de Olavide University in Seville, Spain, affiliated with the Department of Financial Economics and Accounting. He serves as Director of the Banking and Entrepreneurial Finance Research Group (BANEF/GIBFE) and has held visiting researcher positions at Cass Business School (London) and NYU Stern School of Business. His academic leadership extends to serving on the Board of Directors of a Mutual Guarantee Society since 2016. He earned his PhD from the University of Seville in 2001 with a dissertation on commercial loan credit risk analysis supervised by Dr. José Luis Martín Marín. His educational foundation includes formal training in financial economics and accounting methodologies relevant to banking regulation. Trujillo Ponce's research centers on banking regulation and SME financing mechanisms, with particular expertise in credit guarantee systems. His work examines how public-private guarantee schemes mitigate SME credit constraints, analyzes bank capital requirements under Basel frameworks, and investigates ethical governance in financial institutions. Recent projects focus on post-pandemic financing challenges and the economic impact of guarantee schemes using input-output analysis. His publication record spans over 20 articles in leading finance journals including the Journal of Banking and Finance and Journal of Financial Services Research. Recent work (2021-2025) demonstrates consistent methodological rigor through empirical analysis of Spanish banking data, with recurring themes in SME financing constraints, deposit insurance design, and regulatory capital impacts. The research shows increasing policy relevance, particularly regarding credit guarantee systems during economic crises. As Director of BANEF/GIBFE, he leads a multidisciplinary team researching banking innovation and entrepreneurial finance. Current initiatives include analyzing Mutual Guarantee Societies' role in capital requirement optimization and developing frameworks for risk-based deposit insurance premiums. His external board position provides practical insights connecting academic research with real-world SME financing solutions.

Elena Garcíaمشاهده پروفایل

پژوهشگر

• Tissue Engineering
• Cancer Research
• Bioprinting
• +۳ مورد دیگر

Elena García is a researcher at the University of Zaragoza's Institute for Advanced Materials Science (I3A), affiliated with the Multiscale Research Group in Mechanical and Biological Engineering (M2BE). She holds a double degree in Chemistry and Biochemistry and specializes in tissue engineering for both regenerative medicine and cancer research. Education: Double Degree in Chemistry and Biochemistry Her research focuses on creating biomaterials for personalized medicine, particularly exploring bioprinting techniques to develop patient-specific implants. In cancer research, she investigates the tumor extracellular matrix's role in pancreatic ductal adenocarcinoma progression. The 15 most recent publications reveal trends in three key areas: (1) auxetic scaffolds for mechanical tissue engineering, (2) hydrogel development for wound healing, and (3) tumor-on-a-chip models for cancer studies. These works emphasize advanced fabrication techniques like melt electrowriting and cold plasma treatment. At I3A, she works in a multidisciplinary environment that combines biomedical engineering with robotics, which supports her innovative approach to tissue engineering challenges.

Arman Arghamiمشاهده پروفایل

عضو هیئت علمی

• Robotic Cardiac Surgery
• Minimally Invasive Cardiac Procedures
• Artificial Intelligence in Healthcare
• +۴ مورد دیگر

Arman Arghami, M.D., M.P.H., is an Associate Professor of Surgery at Mayo Clinic in Rochester, Minnesota. He serves as a Consultant in the Department of Cardiovascular Surgery within the Mayo Clinic College of Medicine and Science. Dr. Arghami specializes in robotic cardiac surgery and minimally invasive techniques , with a focus on treating structural heart diseases and arrhythmias. Education Highlights: MD from Mashhad University of Medical Sciences (2004) Preliminary General Surgery Residency at Mayo Clinic (2011) General Surgery Residency at Mayo Clinic (2016) Cardiothoracic Fellowship (4+3) at Mayo Clinic (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2021) Dr. Arghami's research bridges artificial intelligence and clinical cardiology , emphasizing AI-driven risk stratification and outcomes analysis. His work also investigates preventive strategies for renal failure after cardiac surgery and pharmacological trials for postoperative care. Recent publications highlight his expertise in robotic mitral valve repair, transcatheter interventions, and valvular disease management. Scientific Contributions: Editorial Board Member, The Journal of Thoracic and Cardiovascular Surgery (2022-present) Ad hoc Reviewer, Journal of Cardiothoracic and Vascular Anesthesia (2021-present) Editorial Board Member, The Annals of Thoracic Surgery (2020-present) Co-Chair, Society of Thoracic Surgery Taskforce on Robotic Cardiac Surgery (2025-present) He actively participates in clinical trials evaluating novel cardiac devices and surgical techniques, and serves on committees including the AI Project Strategy Committee and Cardiovascular Surgery Quality & Safety Committee . Dr. Arghami is certified by the American Board of Thoracic Surgery (2019) and American Board of Surgery (2016).

Joe Gauthierمشاهده پروفایل

استادیار

• Electrochemistry
• Heterogeneous Catalysis
• Materials Science
• +۳ مورد دیگر

Joe Gauthier is an Assistant Professor in the Department of Chemical Engineering at Texas Tech University, directing the Computational Catalysis Research Laboratory. His work bridges theoretical and applied research in sustainable energy technologies. His academic background includes: Ph.D. in Chemical Engineering, Stanford University (2020) B.S. in Chemical Engineering, The Ohio State University (2015) Dr. Gauthier's research focuses on structure-property relationships for catalyst design in renewable energy systems. His multidisciplinary approach integrates electrochemistry , heterogeneous catalysis , materials science , and data science to develop in-silico methods for understanding catalyst limitations and engineering novel materials. Key applications include ammonia synthesis, CO2 reduction, and nitrate electroreduction for energy storage and environmental remediation. Analysis of his 15 most recent publications (2025-2022) reveals dominant themes in computational electrocatalysis: electric double layer modeling, reaction selectivity optimization (particularly for urea and ammonia), and energy-efficient pathway design. His work consistently emphasizes high-current-density operation and scalability for industrial decarbonization. Dr. Gauthier actively mentors five doctoral researchers and has guided multiple undergraduates through research projects, reflecting his commitment to developing next-generation scientists. His laboratory maintains strong collaborations with experimental groups to validate computational predictions. The Computational Catalysis Research Laboratory operates as a multidisciplinary hub where quantum mechanical simulations meet practical energy challenges, driving innovation in sustainable chemical production.

Michael S. Kimمشاهده پروفایل

استادیار

• Radiation Oncology
• Cancer Research
• Brachytherapy
• +۵ مورد دیگر

Dr. Michael S. Kim is an Assistant Professor in the Department of Radiation Oncology at the University of Maryland. He specializes in treating genitourinary, gastrointestinal, and musculoskeletal malignancies, with a focus on brachytherapy and radioembolization. Education: Bachelor of Sciences with Honors in Biochemistry from McMaster University, Doctor of Medicine from the University of Western Ontario. Residency: Nova Scotia Cancer Center (Dalhousie University), where he served as Chief Resident. Fellowship: Brachytherapy at the University of California, Los Angeles. Dr. Kim’s research spans clinical radiation oncology, medical education, and healthcare workforce planning. His recent publications include systematic reviews on stereotactic radiotherapy for head and neck cancers, qualitative analyses of medical student experiences, and projections for radiation oncologist supply in Canada. His work also involves multidisciplinary collaborations in cancer care and healthcare delivery optimization. A 2023 article on national holidays’ impact on treatment timing highlights his interest in clinical workflow efficiency.

William Weadockمشاهده پروفایل

استاد بالینی

• Radiology
• Medical Imaging
• 3D Printing
• +۵ مورد دیگر

William Weadock, MD, is a Clinical Professor in the Department of Radiology at the University of Michigan Medical School. He specializes in abdominal and pelvic imaging (CT, MRI, ultrasound) and has pioneered the use of 3D medical printing in radiology. A leader in the RSNA Informatics Committee and 3D Printing Special Interest Group , he has developed educational courses and optimized imaging workflows for over two decades. Education: MD from University of Michigan Medical School (1992), Radiology residency at University of Minnesota (1997), Body Imaging fellowship at University of Michigan Health System (1998). Clinical Interests: Abdominal/pelvic CT/MRI/US, 3D analysis, vascular imaging, and endovascular device evaluation. Research Trends: His work bridges 3D printing and medical imaging , focusing on surgical planning, education, and workflow optimization. Recent publications highlight 3D models for complex surgeries, data privacy in radiology presentations, and ergonomics in radiology practice. He also explores MRI artifacts in iron-related pathologies and interventional radiology training phantoms. Scientific Awards Fellowship, American College of Radiology Lifetime Achievement Award, American Board of Radiology Leadership Roles: Director of the Department of Radiology’s Media Services division , which enhances educational materials with professional standards. He has also led initiatives to optimize PACS systems and structured reporting in radiology.

• Landscape Architecture
• Urban Planning
• Sustainable Cities
• +۳ مورد دیگر

Mari Ariluoma is a Doctoral Researcher and long-term part-time lecturer in the Department of Architecture at Aalto University, actively contributing to landscape architecture research and education. Her work bridges academic inquiry with professional practice through her partnership at Nomaji Landscape Architects, which received Finland's State Award in Architecture in 2023 for pioneering sustainable design. Her research centers on urban ecological systems, with primary focus areas including landscape architecture, sustainable urban planning, biodiversity conservation, and carbon neutrality. She investigates how green infrastructure integrates ecological functions with human well-being, developing practical tools like the Espoo Green Factor for quantifying environmental benefits in urban development projects. Her approach emphasizes co-benefits between climate mitigation and habitat creation. Recent publications reveal strong trends toward applied sustainability solutions, particularly in residential-scale interventions that optimize biodiversity and carbon sequestration while creating functional public spaces. Her work consistently connects theoretical frameworks with competition-winning designs for hospitals, neighborhoods, and waterfront areas. Key scientific awards include: State Award in Architecture (2023) for Nomaji's landscape architecture contributions Top 3 prizes in Antuo Hill Museums (2021) and Guoshen National Museum (2021) competitions 1st prize in Junatie urban planning competition (2019) 1st prize in Clean Vallisaari Innovation Competition (2016) Ariluoma's collaborative practice involves multidisciplinary teams including JKMM Architects, L-Arkkitehdit Oy, and environmental consultants. Her projects like the Espoo Green Factor tool and Vallisaari island development demonstrate integration of ecological science with design innovation, often addressing historical contexts and community needs through temporary installations and permanent urban interventions.

• Network Science
• Temporal Networks
• Multilayer Networks
• +۵ مورد دیگر

Arash Badie-Modiri is a Visiting Professor at Aalto University's School of Science, Department of Computer Science. His research focuses on temporal networks, multilayer networks, and computational modeling of complex systems. Institution: Aalto University School: School of Science Department: Department of Computer Science Rank: Visiting Professor Email: ext-arash.badie-modiri@aalto.fi His work spans network science, statistical physics, and software development, with particular emphasis on temporal network analysis , multilayer network modeling , and dynamic connectivity estimation . Recent publications highlight contributions to epidemic modeling, crowdsourcing methodological improvements, and open-source software tools like the pymnet library. Collaborations with researchers such as Kimmo Kaski, Jari Saramäki, and Mikko Kivelä reflect his integration into multidisciplinary academic networks. Research outputs demonstrate expertise in temporal network theory , weighted event graphs , and percolation dynamics applied to complex systems.

Michael Seamanمشاهده پروفایل

دانشیار

• Immunology
• Virology
• HIV Vaccine Research
• +۲ مورد دیگر

Michael Seaman, Ph.D., is an Associate Professor of Medicine at Beth Israel Deaconess Medical Center and Harvard Medical School (Harvard University), where he serves as Principal Investigator of the Seaman Laboratory. His research focuses on HIV vaccine development and antibody-mediated immunity, with significant contributions to the HIV Vaccine Trials Network (HVTN) and Collaboration for AIDS Vaccine Development (CAVD). His academic credentials include: B.S. in Microbiology, University of Washington, Seattle (1992) Ph.D. in Immunology, University of Texas Southwestern Medical Center, Dallas (2000) Research Fellowship in Viral Pathogenesis, Beth Israel Deaconess Medical Center (2004) Dr. Seaman's work centers on HIV immunology, specializing in broadly neutralizing antibody induction, vaccine design against viral pathogens, and translational research bridging laboratory findings to clinical applications. His laboratory employs structural biology, animal models, and clinical trial data to develop novel vaccine strategies targeting HIV's vulnerabilities, with emphasis on CD4 binding site antibodies and germline-targeting approaches. Analysis of his 2024 publications reveals a concentrated effort in advancing HIV vaccine candidates through human and non-human primate studies, with key themes including heterologous neutralizing antibody induction, cross-clade neutralization, and combination antibody therapies. His team's work spans preclinical model validation to Phase 1/2a clinical trials, demonstrating translational impact across multiple high-impact journals including Nature, Science, and Cell. His scientific recognition includes: NRSA Predoctoral Trainee (NIH #5 T32 CA09082, 1996-1999) NRSA Fellow in AIDS Research (NIH #5 T32 AI07386, 2000-2002) Network Citizenship Award (HVTN, 2008) Young/Early Career Investigator Award (CAVD, 2012) Dr. Seaman's research is supported by NIH grants and major collaborations including HVTN and CAVD, with ongoing projects focused on germline-targeting vaccines and antibody therapeutics. His laboratory actively contributes to HIV cure research and next-generation preventive strategies through multidisciplinary approaches involving virology, immunology, and structural biology. The Seaman Laboratory operates within Harvard Medical School's Center for Virology and Vaccine Research (CVVR), collaborating with investigators across virology, immunology, and clinical research domains. Current initiatives include optimizing polyvalent vaccine regimens, characterizing complex viral escape pathways, and developing dual immunotherapy approaches for HIV remission.