جست‌وجوی استاد و پژوهشگر

Yuxiao Zhouمشاهده پروفایل

استادیار

• Implantable device design
• Surgery planning
• Bone disease diagnosis
• +۴ مورد دیگر

Dr. Yuxiao Zhou is an Assistant Professor in the J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University, with an affiliation to the School of Engineering Medicine. His research focuses on multi-scale musculoskeletal biomechanics, addressing challenges in aging, bone disease, and injury through implantable device design, computational modeling, and medical imaging. He holds a Ph.D. in Mechanical Engineering from Pennsylvania State University (2020), an M.S. from Rutgers University (2015), and a B.S. from Harbin Institute of Technology (2012). Research interests include biomechanical analysis of bone-implant interactions, bone regeneration mechanisms, and mechanobiology. Dr. Zhou's lab develops patient-specific biomedical devices and computational tools for surgery planning and disease diagnosis. His work integrates advanced imaging techniques like micro-CT and atomic force microscopy (AFM) to study bone mechanics across scales. Key awards include the Maryland Stem Cell Research Fund Postdoctoral Fellowship (2021) and the C. Norwood Wherry Memorial Graduate Fellowship (2020). His research has led to innovations in bone implant design, osteoporosis treatment strategies, and tissue engineering scaffolds. Recent publications explore topics like mineralization processes in tooth development and wireless microfluidic systems for dental implants. Dr. Zhou collaborates on grants related to biomechanical modeling and medical device development. His lab emphasizes translational research, aiming to bridge engineering and clinical applications. Ongoing projects include 3D-printed oxygen-releasing scaffolds for bone regeneration and aerogel-based solutions for bone cement interfaces.

Pietro Valdastriمشاهده پروفایل

استاد

• Surgical Robotics
• Robotic Endoscopy
• Medical Robotics
• +۵ مورد دیگر

Professor Pietro Valdastri is a Full Professor and Chair in Robotics & Autonomous Systems at the University of Leeds. He directs the Science and Technologies Of Robotics in Medicine (STORM) Lab, the Institute of Robotics, Autonomous Systems and Sensing (IRASS), and the Robotics at Leeds network. His expertise spans surgical robotics, robotic endoscopy, and magnetic manipulation, with a focus on developing soft magnetic surgical robots (SMSRs) for minimally invasive medical procedures. Valdastri holds a Laurea in Electronic Engineering (University of Pisa, 2001) and a PhD in Biomedical Engineering (Scuola Superiore Sant’Anna, 2006). He previously served as Assistant Professor at Scuola Superiore Sant’Anna (2006–2011) and Vanderbilt University (2011–2016) before joining Leeds in 2016. His research aims to leverage magnetic actuation for surgical navigation, with applications in cancer therapy and endoscopy. Key awards include the NSF CAREER Award (2015), ERC Consolidator Grant (2019), and KUKA Innovation Award (2019). He is a Royal Society Wolfson Research Fellow, IEEE Fellow, and editor for IEEE Robotics and Automation Letters. His work has been featured in major media outlets like the BBC, New Scientist, and WIRED. Valdastri has secured over £25M in grants from NSF, NIH, ERC, EU-H2020, and industry partnerships. He co-founded WinMedical srl (acquired in 2017) and Atlas Endoscopy Limited, advancing robotic colonoscopy platforms. Current research emphasizes autonomous robotic systems, magnetic tentacles for lung therapy, and patient-specific surgical tools.

• Geotechnical Engineering
• Soil Mechanics
• Earthquake Engineering
• +۳ مورد دیگر

Prof. Alper SEZER is a faculty member at Ege University's Department of Civil Engineering (Faculty of Engineering), specializing in Geotechnics. His research focuses on geotechnical engineering, earthquake effects, soil mechanics, and sustainable development. He has conducted extensive studies on soil liquefaction, seismic site effects, and post-earthquake damage assessments in regions like Antakya, Izmir, and Adıyaman. His work integrates computational methods (e.g., genetic algorithms, artificial neural networks) with experimental geotechnics to improve soil characterization and disaster resilience. He has collaborated on projects analyzing valley effects, ground motion amplification, and the mechanical behavior of soils under cyclic loading. Education: Details not explicitly provided in text, inferred through academic publications and position. Research interests include geotechnical hazard mitigation, soil stabilization techniques (e.g., polymer-modified soils), and the application of fractal analysis to soil properties. His studies address practical challenges such as sulfate resistance in cement-stabilized soils and freeze-thaw resistance of fiber-reinforced materials. He has contributed to microzonation studies and seismic risk assessments in urban areas like Izmir Bay. Publications emphasize field reconnaissance findings from major earthquakes (e.g., 2020 Samos, 2023 Türkiye earthquakes) and laboratory experiments on soil behavior under dynamic loading. Awards and recognitions are not explicitly listed in the text. Grant activities and advising details are not provided, but his extensive publication record suggests sustained research funding. He is affiliated with geotechnical laboratories at Ege University, focusing on experimental testing and computational modeling in geotechnical engineering.

Michael Shelleyمشاهده پروفایل

استاد

• Fluid Dynamics
• Active Matter
• Biophysics
• +۳ مورد دیگر

Michael Shelley is the Lilian and George Lyttle Professor of Applied Mathematics at New York University's Courant Institute of Mathematical Sciences. He holds additional roles as Professor of Mathematics, Neural Science, and Mechanical Engineering. His research focuses on fluid dynamics, active matter, and biophysical systems, with notable contributions to microswimmer dynamics, cytoplasmic flows, and fluid-structure interactions. Shelley leads the Applied Mathematics Laboratory at Courant and directs the Center for Computational Biology at the Flatiron Institute. His work bridges theoretical, computational, and experimental approaches to understand complex biological and physical phenomena. Research interests include nonlinear dynamics of fluids, collective behavior in active matter systems, and biomechanical processes such as mitosis and cellular transport. Recent studies involve modeling microtubule networks, cytoplasmic stirring, and spindle positioning in cells. His publications span topics like fluid-structure interactions, viscoelastic flows, and the mechanics of swimming organisms. Key projects include the dynamics of erodible bodies in fluid flows, optimization of microswimmer designs, and the rheology of active suspensions. Shelley collaborates across disciplines, integrating applied mathematics with biology, physics, and engineering. His work has advanced understanding of self-organization in living systems and fluid-driven morphological changes.

• Sustainable and Resilient Supply Chain Management
• Supply Chain Network Design
• Multi-objective Optimization
• +۱۱ مورد دیگر

Dr. Ahmed Mohammed is an Associate Professor in Supply Chain Management and Programme Director for the MSc Supply Chain Management at the University of Birmingham, Dubai Campus. He is affiliated with the Management Department and brings over 13 years of combined academic and industrial experience from the UK and the Middle East. Educational Background: Ph.D. in Engineering, University of Portsmouth, UK (2017) MSc in Communication Network Planning and Management, University of Portsmouth, UK (2010) Lean Six Sigma – Black Belt (2022) Fellow, Higher Education Academy, UK (2022) Dr. Mohammed's research focuses on the modeling and optimization of supply chains with an emphasis on sustainability and resilience. His work spans areas such as multi-tier supplier selection, circular economy, food waste management, Industry 4.0 integration, and last-mile logistics. He employs advanced methodologies including multi-criteria decision-making (MCDM) techniques like AHP, TOPSIS, and VIKOR, and develops hybrid optimization models for complex supply chain challenges. His recent publications, spanning from 2021 to 2023, reflect a strong trend in resilient and sustainable supply chain network design, pandemic-related disruptions, digital sourcing, and risk modeling under uncertainty. These works appear in high-impact journals such as International Journal of Production Research , Transportation Research Part E , Computers & Industrial Engineering , and Expert Systems with Applications . Scientific Awards and Recognitions: Fellow, Higher Education Academy, UK (2022) Lean Six Sigma Black Belt (2022) Fellow Member, Chartered Institute of Logistics and Transport (CILT) Member, MCDM Society Dr. Mohammed has secured multiple research grants from MOHERI, Oman, including projects on last-mile logistics sustainability, supply chain resilience, and online food waste management. He actively supervises research students and serves as a reviewer for leading journals including International Journal of Production Economics (IJPE) , Transportation Research Part D (TRD) , Omega , and International Journal of Production Research (IJPR) . He is also an external academic program reviewer for logistics-related programs and contributes to the academic community through peer review and collaborative research.

Frank Friedrichمشاهده پروفایل

پژوهشگر

• Insect Morphology
• Phylogenetics
• Evolutionary Biology
• +۳ مورد دیگر

Dr. Frank Friedrich is a Researcher at the University of Hamburg , affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences and the Department of Biology . He leads the Electron Microscopy and Morphological Structural Analysis group at the Institute of Animal Cell and Systems Biology . Insect Morphology and Phylogenomics are central to his research Specializes in Synchrotron Radiation Microtomography (SR-μCT) for 3D anatomical reconstructions Collaborates on Holometabola Evolution and Phylogenetic Systematics His work spans Trichoptera (caddisflies) , Mecoptera (scorpionflies) , and Zoraptera , with a focus on head and thoracic anatomy . He has contributed to resolving insect phylogeny through innovative imaging techniques. Publications highlight his expertise in synchrotron radiation-based imaging and larval/adult morphological studies .

• Collider Physics
• Precision Computations
• Effective Field Theories
• +۴ مورد دیگر

Robert Szafron serves as a Scientist in the High Energy Theory group at Brookhaven National Laboratory's Physics Department since 2021, having progressed from Assistant Scientist (2021-2022) to Associate Scientist (2023-2024) before attaining his current position in 2025. Prior to BNL, he held research appointments at CERN (Senior Research Fellow, 2019-2020), TU Munich (Postdoctoral Fellow, 2016-2019), and the University of Alberta (Postdoctoral Fellow, 2012-2016). His research centers on theoretical high-energy physics with core expertise in collider physics , precision computations , and effective field theories . Specialized areas include bound state physics, QCD and QED corrections, power corrections, and gravitational soft theorems. His methodological approach combines advanced perturbative techniques with resummation methods to address precision Standard Model calculations and beyond-Standard-Model phenomena. Analysis of his publication record (2011-2023) reveals consistent contributions to leading journals like Journal of High Energy Physics and Physical Review Letters, with recent work focusing on N3LO cross sections, muon g-2 anomalies, subleading-power corrections in B-physics, and wino dark matter calculations. His research demonstrates strong international collaboration patterns and addresses critical precision frontiers in particle physics. No scientific awards were mentioned in the available documentation. Information regarding student advising, research grants, or specific mentorship activities was not provided in the source materials. Szafron operates within Brookhaven National Laboratory's High Energy Theory group, a U.S. Department of Energy national lab facility specializing in theoretical particle physics. His work contributes to BNL's broader mission in advancing fundamental understanding of particle interactions through rigorous mathematical frameworks and computational techniques.

• Human Computer Interaction
• User Experience
• Information systems
• +۸ مورد دیگر

Assoc Prof Geraldine Torrisi is the Deputy Head of School (Learning & Teaching) at the School of Information and Communication Technology at Griffith University. With a PhD in Educational Studies and degrees in Science (Physics/Mathematics) and Education, she focuses on Human-Computer Interaction (HCI) , User Experience , and Learning Theory . She is a Senior Fellow of the Higher Education Academy and Griffith Learning and Teaching Academy . Education: PhD in Educational Studies (Griffith University) Masters of Educational Studies (James Cook University) Bachelor of Education (Secondary Science and Maths) (James Cook University) Bachelor of Science (Physics/Mathematics) (James Cook University) Research Interests include Interactive Digital Media , Educational Technology , and Data Literacy . Her 2025 book chapters explore AI's role in education, while 2024-2023 articles address data literacy frameworks and hybrid teaching models. Scientific Awards include Griffith Award for Excellence in Teaching (2011) , Excellence in Teaching Award (2015) , and Senior Fellow of the Higher Education Academy (2018) . She also received multiple Group Learning and Teaching Commendations (2009, 2017, 2019). Grants include The Dignity Project (2024-2025), Promoting Renewable Energy Adoption (2022-2025), and Smart Environmental Sensing (2022-2023). She supervises PhD students on topics like Human-Machine Teaming and Instructional AR Design .

• Engineering Geology
• Rock Mechanics
• Slope Stability
• +۵ مورد دیگر

Tümay Kadakci Koca is an Associate Professor in the Department of Geological Engineering, Faculty of Engineering at Muğla Sıtkı Koçman University. She holds a Ph.D. in Applied Geology from Dokuz Eylül University (2021), an MSc in Applied Geology (2011), and a BSc in Geological Engineering from Hacettepe University (2009). Research Focus: Engineering geology, rock mechanics, slope stability analysis, geotechnical engineering, and soft computing applications in geological problems. Academic Contributions: Over 15 publications focusing on rock slope stability in mining operations, soil burn severity mapping post-wildfires, and geomechanical properties of sedimentary rocks. Scientific Recognition: Recipient of Kemal Erguvanlı Engineering Geology Award (2022) and Altın Çekiç Geology Research/Article Award (1900). Projects: Led TÜBİTAK-funded research on post-fire soil burn severity in Muğla, contributed to dam reservoir landslide analyses, and consulted for private mining projects in Turkey. Her work integrates numerical modeling with field studies, emphasizing Turkey-specific geological challenges and environmental impacts.

Zoltán Sütőمشاهده پروفایل

دانشیار

• Power Electronics
• Control Systems
• Power Converters
• +۵ مورد دیگر

Zoltán Sütő is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. His research focuses on advanced power electronics and control systems, with expertise in real-time implementation using FPGA technology. He maintains an active presence through institutional contacts at Budapest 1117, Magyar tudósok krt. 2., Q.B114, and can be reached via phone (+36 1 463-2337) or email (Suto.Zoltan@aut.bme.hu). Dr. Sütő's research encompasses: Design and optimization of power converters (dual active bridge, multilevel inverters) Real-time control algorithms for grid-connected systems and microgrids FPGA-based hardware-in-the-loop simulation methodologies Nonlinear dynamics in power electronic systems Artificial intelligence applications for fault diagnosis in drive systems His work bridges theoretical control models with practical implementations in renewable energy integration and power quality management. Recent publications demonstrate a strong focus on predictive control techniques, adaptive compensation methods, and optimization of power converter topologies. Research trends emphasize real-time validation, FPGA implementation, and AI-enhanced diagnostics across applications ranging from energy storage systems to industrial drives. Articles consistently address efficiency improvements, stability challenges, and novel modulation strategies in power conversion.

Juan Antonio Corrales Ramónمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +۳ مورد دیگر

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

• Synthetic biology
• Artificial life
• Biochemistry
• +۵ مورد دیگر

Martin Michael Hanczyc is an Associate Professor in the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento, Italy. His research program bridges biochemistry, biophysics, and synthetic biology to explore the fundamental principles of life through artificial systems. Dr. Hanczyc's primary research interests focus on synthetic biology and artificial life , particularly the creation and study of artificial cell systems using vesicles and droplets as model compartments. His work explores how simple chemical systems can exhibit life-like behaviors including self-organization, compartmentalization, and survival strategies. He investigates the physical and chemical principles underlying the formation of primitive cell-like structures, with implications for understanding the origin of life. His recent publications reveal a strong trend toward quantitative analysis of dynamic systems, with increasing focus on network formation, computational modeling, and high-throughput methods for studying artificial cell behaviors. The research spans from fundamental studies of vesicle and droplet dynamics to more complex investigations of artificial ecosystems and chemical networks that mimic biological processes. As an educator, Dr. Hanczyc teaches in the Biotechnology Engineering program and contributes to the RNA Biology and Biotechnology course, focusing on advanced biomaterials, tissue engineering, and regenerative medicine applications. His teaching emphasizes the integration of theoretical principles with practical applications in biomedical technologies.

• Protein Engineering
• Biomaterials
• Biological Macromolecules
• +۵ مورد دیگر

Sesilja Aranko is an Assistant Professor at Aalto University , affiliated with the Department of Bioproducts and Biosystems. Her research focuses on protein engineering, biomolecular condensates, and sustainable materials derived from biological macromolecules. Research Groups : Cellular Engineering Email : sesilja.aranko@aalto.fi Her work explores protein self-assembly mechanisms, particularly in spider silk and collagen systems, leveraging liquid-liquid phase separation for advanced biomaterial design. Recent studies investigate how polymer length and modular protein architecture control condensate properties, alongside developing bio-inspired adhesives from recombinant proteins and nanocellulose. She has pioneered the use of Catcher/Tag click-reaction tools for protein engineering and developed sustainable methods for spider silk production with inherent functionalization potential. Collaborative projects span marine biology (sea cucumbers) and keratin waste upcycling for textile applications. Key methodologies include intein-mediated protein splicing, segmental isotopic labeling, and structural characterization of protein ligation systems. Her research bridges fundamental biophysics with industrial applications in sustainable chemistry and biomimetic composites.

Valeriya Nikolaeva Simeonovaمشاهده پروفایل

دانشیار

• Machine Learning
• Metagenomics
• Bioinformatics
• +۴ مورد دیگر

Valeriya Nikolaeva Simeonova is an Associate Professor at the Faculty of Mathematics and Informatics, University of Sofia, specializing in Information Technologies . Her research focuses on interdisciplinary applications at the intersection of Bioinformatics , Machine Learning , and Parallel Computing , particularly for error discovery in metagenomics data and QSAR modeling in plant biology. Her work emphasizes Next-Generation Sequencing (NGS) data analysis, where she develops algorithms for error detection and correction. She has contributed to optimizing genome assembly techniques through soft computing approaches and explored distributed computing for financial time series forecasting. Notable publications include studies on Golden Root in vitro culture growth (2013) and metagenomics NGS error detection (2015) in journals like BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT . Her collaborations span institutions in Bulgaria, France, and Belgium.

Olga Ilieva Georgievaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Olga Ilieva Georgieva is a Professor at the Faculty of Mathematics and Informatics (FMI) , Sofia University , specializing in Software Technologies . She has held academic positions at the Bulgarian Academy of Sciences and Technical University of Sofia , and is actively involved in research, teaching, and national/EU-funded projects. Education: 1986 – Faculty of Automatics, TU-Sofia 1995 – PhD, Institute of Control and System Research, Bulgarian Academy of Sciences 2000 – Associate Professor, Institute of Control and System Research, Bulgarian Academy of Sciences 2008 – Associate Professor, Faculty of Mathematics and Informatics, Sofia University Research Interests: Her work spans Artificial Intelligence , Machine Learning , Data Mining , and Soft Computing Methods . She applies these to domains such as emotion recognition from EEG , QoS in web services , educational data mining , and industrial energy modeling . Scientific Awards: Best Paper Award, IEEE 8th International Conference on Intelligent Systems (2016) Teaching & Projects: She teaches courses including Requirements Engineering , Models of Software Systems , Fuzzy Sets and Applications , and Professional Ethics at Sofia University, and previously taught at TU-Sofia. She leads or co-leads multiple national and EU projects such as GATE: Big Data for Smart Society , ITDGate , and Modelling of Voluntary Saccadic Eye Movements .