جست‌وجوی استاد و پژوهشگر

• Transportation planning
• Dynamic traffic assignment
• Traffic estimation and prediction
• +۵ مورد دیگر

Xuesong Zhou is a Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment , Arizona State University (ASU). He leads the ASU Transportation+AI Lab and develops open-source tools like DTALite, NEXTA, and OSM2GMNS with over 100,000 downloads. His research focuses on multimodal transportation planning , dynamic traffic assignment , and rail scheduling with methodological contributions to traffic flow theory and operations research . Dr. Zhou's research bridges transportation system operations , computer applications for ITS , and logistics optimization . His work on differentiable programming reformulations and state-space-time network modeling has advanced real-time traffic prediction and multi-echelon facility scheduling . Scientific awards include: 2022 Elsevier Multimodal Transportation Best Article Award 2018 Transportation Research Part C Best Associate Editor Award 2012 INFORMS Railway Applications Section Best Paper Award He has advised 9 PhD students and 6 postdoctoral researchers to completion, with mentees now at institutions like Georgia Institute of Technology and Michigan State University. Current projects include NSF CONNECT and DOE Argonne collaborations on multi-scale traffic simulation and smart campus cyberinfrastructure .

• Dementia care
• Aging and gerontology
• Social engagement
• +۶ مورد دیگر

Professor Charlotte Clarke is a faculty member in the Department of Sociology at Durham University and serves as Executive Director of the Wolfson Research Institute for Health and Wellbeing . Her research focuses on dementia care, aging, risk management, and technology-enabled education , with recent work examining cognitive frailty interventions, participatory care models, and cross-cultural caregiving dynamics in China. Key research areas: Dementia care, aging, social engagement, technology-enabled education, risk management Selected recent collaborations: CREST psychosocial intervention feasibility studies, Delphi consensus on cognitive frailty, participatory action research for post-diagnostic support Her publications span high-impact journals like Frontiers in Aging Neuroscience and Dementia . She supervises postgraduate researcher Jiaxi Li and collaborates with multidisciplinary experts globally. Current projects include policy briefs on air pollution’s impact on brain health and aging in the North reports.

Chris Monicoمشاهده پروفایل

دانشیار

• Cryptology
• Computational Algebra
• Number Theory
• +۶ مورد دیگر

Chris Monico is an Associate Professor in the Department of Mathematics & Statistics at Texas Tech University . He has been a faculty member there since 2003, following post-doctoral research at the University of Notre Dame. Education B.S. in Mathematics – Monmouth University M.S. in Mathematics – University of Notre Dame Ph.D. in Mathematics – University of Notre Dame Research Focus Monico’s scholarship centers on the intersection of cryptology , computational algebra , and number theory . A significant recent thrust has been the application of machine-learning techniques to mathematical finance , evidenced by work on random-forest models for option pricing and high-frequency trading risk metrics. Parallel lines of inquiry include post-quantum cryptographic schemes built on tropical algebra and semigroup actions, as well as classical problems in Ramsey theory and combinatorial semigroups . Publication Trends Between 2015 and 2025 Monico has published prolifically, with a clear shift around 2020 toward mathematical finance and machine-learning applications , alongside continued output in algebraic cryptanalysis and combinatorics . His 2024–2025 articles emphasize data-driven models in trading, whereas 2020–2021 works concentrate on cryptanalyses of tropical and group-based key-exchange systems. Earlier contributions focus on computational number theory and semigroup-based cryptography. Contact Information Email: c.monico@ttu.edu Phone: 806-834-4144 Office: Department of Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409-1042 Advising & Grants No specific doctoral or master’s students, funded grants, or named awards are detailed in the provided text. Laboratory or Research Group The text does not mention any dedicated laboratory or research group.

Anuj Pathaniaمشاهده پروفایل

استادیار

• Low Power Design
• Sustainable Systems
• Electronic Design Automation
• +۴ مورد دیگر

Anuj Pathania serves as an Assistant Professor in the Parallel Computing Systems (PCS) group within the Informatics Institute at the University of Amsterdam's Faculty of Science. His research pioneers sustainable computing systems operating under severe power, thermal, and reliability constraints, with significant contributions to energy-efficient hardware design and embedded systems. Education: PhD in Computer Science (2018), Karlsruhe Institute of Technology MSc in Computer Science (2012), National University of Singapore B.Tech in Computer Science (2009), Maharaja Agrasen Institute of Technology Pathania's research centers on low-power design and sustainable systems for constrained environments, with particular expertise in thermal management of 3D-stacked architectures and energy-efficient machine learning inference . His work bridges electronic design automation with real-world reliability challenges, developing novel power budgeting techniques like T-TSP that incorporate transient temperature effects ignored by conventional methods. Current projects include EU-funded initiatives on energy labeling for digital services, addressing ecological impacts through technological, behavioral, and legal frameworks. His publication trajectory reveals a strategic evolution toward zero-waste computing , with recent work (2023-2025) focusing on hardware-software co-design for edge AI, energy modeling across computing continua, and parameter-efficient neural adaptation. Key themes include thermal-aware scheduling for S-NUCA many-cores, cooperative processor utilization in heterogeneous systems, and sustainability metrics for digital services. Scientific Recognition: Best Paper Award Nomination at IEEE Computer Society Annual Symposium on VLSI 2023 for 3D-TTP power budgeting technique Pathania actively mentors 4 PhD students (Ehsan Aghapour, Saeedeh Baneshi, Sudam Wasala, Yixian Shen) and has successfully supervised 5 Master's theses (including Cum Laude defenses by Joris op ten Berg and Jurre Wolff). His research is supported by major grants including Energy Labels for Ecologically Sustainable Digital Services (2023-2024) and Towards Zero-Waste Computing (2021-2025), developing simulation frameworks like HotSniper and CoMeT for thermal analysis. The PCS group maintains strong industry collaborations with ARM and NVIDIA, particularly through tools like ARM-CO-UP for heterogeneous processor utilization.

Aaron Youngمشاهده پروفایل

دانشیار

• Human Augmentation
• Wearable Robotics
• Assistive Devices
• +۷ مورد دیگر

Aaron Young is an Associate Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology and a program faculty member in the Biomedical Engineering School. He serves as Director of the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, focusing on robotic human augmentation through advanced control systems for prosthetics and exoskeletons. Education: Postdoctoral Fellow, University of Michigan (2014-2016) Ph.D., Northwestern University (2014) M.S., Northwestern University (2011) B.S., Purdue University (2009) Dr. Young's research addresses clinically viable control systems for wearable robotic devices, emphasizing intent recognition , EMG signal processing , and machine learning integration. His work targets mobility impairments from stroke, amputation, cerebral palsy, and neurological injuries, aiming to reduce metabolic costs, restore natural biomechanics, and enhance community ambulation. Key innovations include data-driven control frameworks , biomechanical terrain adaptation , and anthropometry-based personalization . His recent publications highlight advancements in deep learning for real-time biomechanics , EMG-informed joint estimation , and adaptive assistance systems . The EPIC Lab's facilities feature a terrain park with force plates , motion capture systems , and HumoTech simulation platforms for device testing. Scientific Awards: New Faces of Engineering (IEEE USA, 2017) Military Health System Team Award (2015) NSF Graduate Fellowship (2010) NDSEG Fellowship (2010) IEEE EMBC 3rd Place (2013) Projects include NSF-funded hip exoskeletons for stroke survivors, DoD-powered prostheses for amputees, and Pediatric knee exoskeletons for cerebral palsy. The lab cultivates interdisciplinary expertise in robotics , biomedical engineering , and human-machine interaction .

Duarte Guerreiro Tomé Antunesمشاهده پروفایل

استادیار

• Control Theory
• Optimal Control
• Stochastic Control
• +۳ مورد دیگر

Dr. Duarte Guerreiro Tomé Antunes is an Assistant Professor at the Department of Mechanical Engineering , Eindhoven University of Technology (TU/e), specializing in control theory. He is affiliated with the Control Systems Technology Group and focuses on optimal/stochastic control and networked control systems. Research emphasizes overcoming the curse of dimensionality in large-dimensional systems through approximate control strategies. Explores event-triggered control for networked systems with latency and computational constraints. Teaches Optimal Control and Dynamic Programming , Training Project 4 , and Robotic Seminars . Publications highlight advancements in: Event-triggered methods for linear quadratic control Stability analysis of networked systems with asynchronous links Frequency-domain modeling of control loops with data losses Switched system regulation via informed policies

• Biomaterials
• Biomechanics
• Materials Science
• +۴ مورد دیگر

Cecilia Persson is a Professor at Uppsala University in the Department of Materials Science and Engineering; Biomedical Engineering. She leads the BioMaterial Systems (BMS) research group within the Division of Biomedical Engineering, focusing on the development of new biomaterials through additive manufacturing. She also directs a Competence Centre in Additive Manufacturing for the Life Sciences and the national Research Technology Platform WISE Additive. 2018, Professor in Materials Science, Uppsala University 2015, Docent (Assoc. Prof.) in Engineering Science with Specialization in Materials Science, Uppsala University 2009, PhD in Mechanical Engineering, University of Leeds 2004, MSc in Materials Engineering, European degree (EEIGM) with triple diploma Persson's research focuses on biomaterials, biomechanics, materials science, and additive manufacturing. Her work takes an integrated approach to solving clinical and sustainability problems, combining materials science, mechanical and biological engineering with new technologies like 3D printing and machine learning. Key research areas include magnesium-based alloys for bone substitutes, titanium-based alloys for permanent implants, and machine learning methods to enhance manufacturing efficiency. Analysis of her recent publications shows a strong emphasis on additive manufacturing of biomaterials, particularly magnesium and titanium alloys. Her work explores microstructure control, mechanical properties optimization, antibacterial properties, and patient-specific implant design. The research demonstrates a clear trajectory toward more sustainable, patient-adapted medical solutions using advanced manufacturing techniques. Persson has received funding from prestigious organizations including the Swedish Research Council (VR), the Knut and Alice Wallenberg Foundation (KAW), the Swedish Foundation for Strategic Research (SSF), Sweden's Innovation Agency (VINNOVA), and the EU. As an academic leader, Persson has served as Section Dean of Engineering (2020-2023), President of the Scandinavian Society of Biomaterials (2019-2023), and Coordinator of EU Innovative Training Network NU-SPINE (2019-2023). Her BioMaterial Systems research group takes an integrated approach to solving clinical and sustainability problems, bridging fundamental scientific mechanisms with high societal relevance.

Tobias Neckelمشاهده پروفایل

دانشیار

• Uncertainty Quantification
• Random Differential Equations
• Numerical Algorithms
• +۴ مورد دیگر

Tobias Neckel is an Associate Professor at the Institute for Informatics at the Technical University of Munich (TUM), where he leads research projects and coordinates academic programs. He has been the project team leader of the IGGSE Project ExaNIML since 2018, main coordinator of the Ferienakademie since 2014, and Program Coordinator of the Bavarian Graduate School of Computational Engineering (BGCE) since 2009. Diploma in Technomathematik from TU München (2005) Dr. rer. nat. in Informatics from TU München (2009) Neckel's research focuses on Uncertainty Quantification, Random Differential Equations, and High Performance Computing. His work develops efficient numerical algorithms using hierarchic and adaptive methods such as octrees/spacetrees and sparse grids, with applications in fluid-structure interactions and incompressible fluid flow simulation. His research bridges theoretical mathematics with practical computational science, emphasizing robust and efficient implementations. His recent publications demonstrate a strong trajectory in multi-fidelity modeling, uncertainty quantification, and high-performance computing. Neckel has made significant contributions to scalable hierarchical approximation methods, dynamic resource management in HPC, and the application of machine learning techniques to computational science problems. His work spans diverse application domains including plasma physics, hydrology, and computational engineering. Lehrfonds prize of the TUM (2014) Ernst Otto Fischer prize of the TUM (2011) Promotionspreis des Bunds der Freunde der TU München (2009) Neckel has supervised numerous graduate students and has been actively involved in curriculum development and teaching innovation. His book "Bits and Bugs: A Scientific and Historical Review of Software Failures in Computational Science" (2019) represents a significant contribution to understanding software reliability in scientific computing. He has organized minisymposia at major conferences including SIAM CSE and SIAM UQ, and serves on program committees for various computational science conferences. As coordinator of the Ferienakademie and the BGCE, Neckel plays a central role in advanced computational engineering education in Bavaria. His research group develops software for exascale computing and contributes to the Transregional Collaborative Research Centre 89 on Invasive Computing. Neckel also maintains international collaborations, with research stays at institutions including the Australian National University and Tokyo Institute of Technology.

Marc Sommerمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Neural Circuits
• +۵ مورد دیگر

Marc Sommer is a Professor of Biomedical Engineering and Psychology & Neuroscience at Duke University. He directs the Duke Institute for Brain Sciences and contributes to the Duke Initiative for Science & Society. His research focuses on neural circuits for cognition , particularly how the brain maintains visual perception and behavior through interactions between frontal cortex and subcortical regions. Key Techniques : Single neuron electrophysiology, optogenetics, psychophysics, computational modeling Translational Goals : Improving transcranial magnetic stimulation (TMS) and viral vector therapies for psychiatric and motor disorders Scientific Awards : Capers and Marion McDonald Award for Excellence in Teaching and Research (2021) Capers and Marion McDonald Award for Excellence in Mentoring and Advising (2017) Bass Fellow, Duke University (2017) Research Fellowship in Neuroscience, Alfred P. Sloan Foundation (2005) Marc Sommer's recent publications span visual stability across saccades , optogenetics in primates , TMS mechanisms , and viral vector applications . His work bridges cognitive neuroscience and biomedical innovation , with significant contributions to corollary discharge theory and neural circuit mapping . Lab Collaborations : Interdisciplinary partnerships across Duke University and external institutions, integrating engineering , neurobiology , and computer science to decode primate brain circuitry.

Alex Kamenevمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Disordered Systems
• Many-Body Physics
• +۵ مورد دیگر

Alex Kamenev is a Professor in the School of Physics and Astronomy at the University of Minnesota and serves as Director of the William I. Fine Theoretical Physics Institute. His academic career spans multiple decades with continuous research output since 1991, demonstrating sustained contributions to theoretical physics. His research focuses on theoretical condensed matter physics, with particular emphasis on disordered systems and glasses, field-theoretical treatment of many-body systems, mesoscopic systems, and out-of-equilibrium phenomena. His fingerprint analysis reveals strong expertise in Instanton Physics (100%), Fermion Physics (90%), Conductance (69%), Quantum Dot Physics (64%), and Superconductor physics (62%). Analysis of his recent publications shows a clear trend toward quantum computing applications, non-equilibrium quantum dynamics, and advanced field-theoretical approaches to many-body problems. His work bridges fundamental theoretical physics with practical applications in quantum information science, particularly in understanding quantum dissipation, localization phenomena, and quantum annealing processes. As Principal Investigator, Kamenev has led numerous significant research projects, primarily funded by the National Science Foundation. His current active projects include the REU Site: Physics and Astronomy at the University of Minnesota (2024-2027) and NSF-BSF: Many Body Physics of Quantum Computation (2024-2027), demonstrating his leadership in training the next generation of physicists and advancing quantum computing research. He actively mentors graduate students, as indicated by his statement that he is "Accepting new graduate research students." His research group contributes to the Condensed Matter Theory research area within the School of Physics and Astronomy, focusing on theoretical approaches to quantum systems.

Jochen Mengesمشاهده پروفایل

استاد

• Leadership
• Future of Work
• Emotional Intelligence
• +۲ مورد دیگر

Prof. Dr. Jochen Menges is a Professor at the University of Zurich , holding the Chair of Human Resource Management and Leadership within the Department of Business Administration under the Faculty of Business, Economics and Informatics . He serves as Director of the Center for Leadership in the Future of Work and contributes to the DSI Community Work. Research Interests: His work bridges leadership studies , emotional intelligence , mindfulness practices , and digital transformation in work environments. Key areas include charismatic leadership attribution , AI-human collaboration , emotion regulation , and future of work dynamics . Recent Publications: Menges explores how anthropomorphic AI affects workplace emotions, develops VR-based organizational simulations , and investigates the role of awe in leadership perception . His 2024 guest editorial on human-centered future of work emphasizes balancing technological and human needs. Emerging Insights: Studies on emotional responses to AI , mindfulness interventions , and gender dynamics in emotional intelligence demonstrate his focus on emotional and psychological dimensions of modern work. His populist support research connects negative affect with global political trends.

• Rock Mechanics
• Fracture Mechanics
• Tunneling
• +۴ مورد دیگر

Mikael Rinne serves as Associate Professor in Rock Mechanics within the Department of Civil Engineering at Aalto University, Finland. Holding a Doctor of Science in Technology (D.Sc. Tech.), he brings extensive industry experience from Finnish and Swedish consulting firms (1988-2008) where he specialized in rock engineering and project management for tunneling and geological disposal of radioactive waste. His research focuses on rock and fracture mechanics with direct applications to rock engineering, mining, and tunneling. Current investigations center on digital characterization methods including photogrammetry, videogrammetry, and virtual reality systems for both practical engineering solutions and educational advancement. His work addresses critical challenges in fracture hydro-mechanics, rock mass characterization, and sustainable mining practices. Analysis of his 15 most recent publications (2023-2025) reveals a strong emphasis on digital transformation in rock mechanics. Key trends include non-contact surveying techniques for rock mass characterization, scale effects in fracture properties, and virtual learning environments for engineering education. His research bridges theoretical modeling with field applications in tunneling, mining, and radioactive waste disposal, demonstrating consistent innovation in measurement technologies and computational methods. No scientific awards were mentioned in the source materials. While specific advising details and grant information were not provided, his leadership of the Mineral-based materials and mechanics research group indicates active supervision of graduate students and management of research projects. His industry background suggests strong connections with tunneling and mining sectors for applied research collaboration. He directs the Mineral-based materials and mechanics research group at Aalto University, which develops advanced methodologies for rock characterization and engineering applications. Current initiatives integrate digital tools like smartphone LiDAR, 360-degree cameras, and virtual reality systems to enhance both field practices and educational outcomes in rock engineering.

• Anesthesiology
• Perioperative Echocardiography
• Cardiac Anesthesia
• +۳ مورد دیگر

Michelle Cooper Curtis, MD, serves as a Clinical Associate Professor in the Department of Anesthesiology at the University of Utah. Board certified by the American Board of Anesthesiology, she holds advanced echocardiography credentials from the National Board of Echocardiography including Special Competence in Adult Echocardiography and Advanced Perioperative TEE certification. Education B.S. in Biology from Utah State University M.D. from University of Utah School of Medicine Internal Medicine Internship at University of Utah Anesthesiology Residency and Chief Residency at University of Utah Perioperative Echocardiography Fellowship at University of Utah Her research integrates perioperative cardiac monitoring with anesthesia practice, specializing in echocardiography applications during surgical procedures. Concurrently, she pioneers simulation-based educational methodologies for anesthesia resident training, emphasizing technical skill acquisition and crisis resource management through immersive clinical scenarios. Recent publications reveal a dual scholarly trajectory: physiological investigations into exercise-induced respiratory mechanics and innovative frameworks for anesthesia education. Her 2024 works demonstrate cross-disciplinary engagement spanning basic physiological research and clinical pedagogy development. No scientific awards were documented in the source materials. No advising relationships or research grants were specified in the available information. No laboratory affiliations or research team structures were referenced in the provided text.

• Regional Anesthesia
• Acute Pain Management
• Processed Electroencephalogram Monitoring
• +۵ مورد دیگر

Ken B. Johnson, MD, MS is a Professor in the Department of Anesthesiology at the University of Utah School of Medicine, where he has served on faculty since completing residency in 1999. His clinical expertise spans regional anesthesia, acute pain management, processed electroencephalogram monitoring, and neuromuscular blockade monitoring. His research program focuses on: Genetics and epigenetics of pain pathways Clinical pharmacology of anesthetic agents Medical device development for monitoring and simulation Simulation-based experiential learning for all medical trainees Analysis of his 15 most recent publications reveals dominant themes in pharmacokinetic-pharmacodynamic modeling (40% of works), opioid-related pain management (30%), and innovative monitoring techniques (20%). His work consistently bridges basic science with clinical applications, particularly in trauma scenarios and perioperative optimization. Professional recognition includes: Editorial board membership for Anesthesia and Analgesia Leadership in American Society of Anesthesiologists Simulation Education Role as standardized oral board examiner for American Board of Anesthesiology Dr. Johnson's educational leadership extends to curriculum development for medical students through faculty, with emphasis on simulation-based training for airway management and crisis response. His collaborative research spans multiple departments including Orthopedics and Pharmacology, with recent focus on genetic determinants of pain response in joint replacement patients.

• Biology Education
• Giftedness Research
• Science Education
• +۶ مورد دیگر

Claas Wegner is a Professor at Bielefeld University, Germany, where he serves as the Lead Professor of the Osthushenrich Center for Giftedness Research (OZHB) at the Faculty of Biology. He also holds positions at the FHM in Bielefeld (teaching Psychology) and at the University of Koblenz (Biology Didactics). His academic journey includes a doctorate in Biology Didactics and Psychology from Bielefeld University (2009), followed by progressive academic appointments leading to his current professorship since 2015. Wegner's educational background includes comprehensive teacher training for secondary schools with a focus on biology, education, and sports (2000-2006), followed by his trainee teacher period (2007-2008). His academic qualifications were solidified with his doctoral degree in Biology Didactics and Psychology from Bielefeld University in 2009. Professor Wegner's research primarily focuses on biology education and giftedness research, with particular emphasis on: Development and validation of diagnostic instruments for identifying scientifically gifted students Implementation of interdisciplinary teaching approaches, especially connecting biology with physical education Use of technology in science education, including 3D modeling, augmented reality, and simulations Gender-specific approaches in STEM education, particularly for girls Health education, with a focus on basic life support and cardiovascular health Design-Based Research methodology in educational contexts His recent publications demonstrate a strong trend toward integrating emerging technologies like AI and AR into science education while maintaining a focus on giftedness identification and interdisciplinary approaches. Wegner's work increasingly explores how digital tools can enhance traditional biology education and make complex concepts more accessible to students of varying abilities. Professor Wegner leads the Osthushenrich Center for Giftedness Research and directs multiple educational projects including Kolumbus-Kids, ELVIS (Erklärvideos inklusionssensibel gestalten), and various initiatives focused on science education and giftedness. His research team works extensively with school laboratories (teutolab-biology, teutolab-medicine, teutolab-sport) to develop innovative teaching approaches and materials. As an educator, Wegner supervises numerous BA and MA theses, leads project modules, and organizes excursions and workshops. His teaching portfolio includes courses on biology didactics, practical teaching studies, and specialized topics in gifted education. He also serves in various administrative capacities including as Deputy member of the BiSEd Conference and member of the Faculty Conference and Quality Improvement Commission.