جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Systems Engineering
• Multi-disciplinary Optimization
• +۷ مورد دیگر

John Salmon is an Associate Professor in the Mechanical Engineering department at Brigham Young University's College of Engineering. He holds a B.S. and M.S. in Electrical Engineering from the University of Calgary and Utah State University respectively, followed by an M.S. and Ph.D. in Aerospace Engineering from Georgia Institute of Technology. Prior to his academic career, he worked for four years as a Research Engineer at the Aerospace Systems Design Laboratory collaborating with industry and government partners including NASA, Lockheed Martin, and General Electric. His research spans multiple interdisciplinary domains including: systems engineering and design integration, multi-disciplinary optimization, operations research, visual and data analytics, modeling/simulation, multi-agent decision making, sports analytics, virtual reality, and uncertainty analysis. Current projects include the Good Idea or Bad Idea initiative exploring innovative engineering solutions. Analysis of his recent publications reveals strong focus on three primary clusters: (1) Human-robot collaboration and soft robotics control strategies, (2) Optimization techniques for autonomous aerial systems, and (3) Data-driven sports analytics frameworks. His work consistently combines theoretical modeling with practical applications in aerospace, robotics, and sports engineering. Dr. Salmon maintains an active advising program with 4 current MS students (Jonathan Sadler, Carsten Christensen, Landon Willey, Ryan Day) and 10 graduated advisees since 2016. He teaches core mechanical engineering courses including ME 273 (Scientific Computing), ME 335 (Dynamic Systems), ME 578 (CAD/CAM), and ME 579 (Global Product Development).

Nathan Tabackمشاهده پروفایل

استاد

• Data Science
• Statistics Education
• Statistics Pedagogy
• +۷ مورد دیگر

Nathan Taback is a Professor, Teaching Stream in the Department of Statistical Sciences at the University of Toronto. He currently serves as the Associate Chair, Undergraduate Programs (Statistics) and as a Special Advisor to the Dean of Arts and Science on Computational and Data Science Education. His work bridges statistics, data science, and interdisciplinary applications in medicine, public health, and education. His research interests focus on data science and statistics pedagogy , communicating data effectively , and the application of computational and data science methods across disciplines . He is particularly interested in educational interventions, experiential learning, and improving statistical literacy in the data science ecosystem. His work often involves collaborations with medical researchers in oncology, palliative care, and public health. The most recent publications reflect a strong trend in applied data science , particularly in healthcare and medical decision-making . Articles span topics such as machine learning for palliative care allocation, equity in sports analytics, reproducible research tools like multiverse, and educational nudges in statistics learning. His work consistently integrates statistical rigor with real-world impact, especially in clinical and educational settings. Founding member of Insecurity Insight Past-president of the Data Science and Analytics Section of the Statistical Society of Canada Nathan Taback has advised numerous students and collaborators in medical and data science research, particularly in oncology, palliative care, and public health. His projects often involve large-scale data analysis, educational interventions, and policy-relevant findings. While specific grant details are not listed, his extensive collaborative work suggests significant involvement in funded interdisciplinary research. He plays a key leadership role in shaping statistics and data science education at the University of Toronto. He is actively involved in academic and public service, including leadership in professional societies and contributions to global human security through data-driven analysis of violence against aid workers and refugees via Insecurity Insight.

Laurence Larry D. Merkleمشاهده پروفایل

استادیار

• Evolutionary Computation
• Quantum Computing
• Cybersecurity
• +۷ مورد دیگر

Dr. Laurence Larry D. Merkle is a Research Assistant Professor of Computer Science in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), where he has served since 2022, following his tenure as Assistant Professor from 2015 to 2022. He conducts computer science research aligned with Air Force and Department of Defense needs and mentors graduate students in master’s and doctoral research. Ph.D. in Computer Engineering, Air Force Institute of Technology, 1996 M.S.C.E., Air Force Institute of Technology, 1992 B.S. in Computer and Systems Engineering, Rensselaer Polytechnic Institute, 1987 Dr. Merkle’s research spans evolutionary computation, quantum computing, cybersecurity, and AI-driven education. He applies evolutionary algorithms to optimize complex systems in defense and engineering, and explores quantum circuit optimization, error mitigation, and hardware security. His work in computer science education includes gamification, robotics in teaching, and curriculum design. His recent publications reflect a strong trend toward quantum computing and defense applications, particularly in space situational awareness and secure quantum hardware. He has also contributed significantly to educational technology, including serious games for networking and pedagogical tools for introductory courses. Best Presentation, AMOS Conference (2019) Order of the Engineer (2019) Best Poster, CISS Education Colloquium (2018) Who’s Who in Engineering Education (2005–2006) Best Paper, ASEE Conference (2005) Air Force Achievement Medal (2000) Dr. Merkle has successfully led funded research projects totaling over $1.1 million as PI or Co-PI. He has chaired 2 Ph.D. and 13 master’s thesis committees and served on 19 additional graduate committees, demonstrating extensive mentorship. His grants focus on evolutionary optimization, quantum computing, and cybersecurity education, often in collaboration with AFRL and other DoD entities. He is actively involved in the AFIT Quantum Information Science (QIS) Seminar series and has contributed to DARPA and AFRL research initiatives in polymorphous computing and high-power microwave systems. His work bridges academic research and military application, particularly in secure and reliable computing systems.

Kren McManusمشاهده پروفایل

مدرس

• Education
• Teaching Methodology
• Student Development
• +۳ مورد دیگر

Kren McManus is a faculty member at North Hennepin Community College (NHCC), where they focus on empowering students through teaching learning techniques alongside academic content. Their career path includes teaching band and music for five years, followed by a chiropractic private practice, before transitioning to education in 2004. Bachelor of Music (Music Education, trumpet) from University of Massachusetts, Amherst Bachelor of Science (Human Biology) and Doctor of Chiropractic (cum laude) from Northwestern Health Sciences University As a first-generation college student, they emphasize overcoming obstacles and share their personal journey to inspire students. Hobbies include competitive pickleball and classical guitar.

• Autonomous Vehicles
• Distributed Networks
• Intelligent Control
• +۲ مورد دیگر

Dr. Junyan Hu is a researcher at the Department of Computer Science , Durham University. His work focuses on autonomous vehicles , distributed networks , intelligent control , and swarm robotics . Research Interests include: Autonomous Vehicles Distributed Networks Intelligent Control Multi-Agent Systems Swarm Robotics Recent Article Trends highlight applications in: Real-Time Multi-Robot Navigation Deep Reinforcement Learning for Traffic Signals Time-Optimal Swarm Trajectory Planning Decentralized Control with Fault Tolerance

Matteo-Claudio Palpacelliمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Applied Mechanics
• +۱۲ مورد دیگر

Matteo-Claudio Palpacelli is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche, where he has been a faculty member since 2019, following his role as a researcher from 2008 to 2019. He teaches Applied Mechanics to Machines at the Bachelor's level and Functional Design at the Master's level, both at the Ancona campus. Bachelor of Science in Mechanical Engineering, Polytechnic University of Marche, 2004 PhD in Artificial Intelligence Systems in Information, Management, and Industrial Engineering, Polytechnic University of Marche, 2008 His research lies at the intersection of Robotics, Mechatronics, and Applied Mechanics , with a strong emphasis on parallel kinematic machines , collaborative robotics , reconfigurable robots , robotic microassembly , and visual servoing . He has advanced expertise in biomechanics and rehabilitation robotics through a collaboration with King’s College London. His work also extends to multibody system dynamics and compliant mechanisms. Palpacelli has contributed to national PRIN projects in bioengineering and miniaturized robotics, as well as European projects in the textile sector. The recent publications (2021–2024) highlight a consistent focus on collaborative robotics, optimization of robotic motion, compliant mechanisms, and industrial automation. There is a clear trend toward integrating AI and machine learning in robotic polishing and defect detection, while maintaining a strong foundation in kinematic analysis, control strategies, and mechanical design. Topics such as collision avoidance, inverse kinematics of non-spherical wrist robots, and flexure hinge modeling reflect both theoretical and applied contributions. His scientific contributions are recognized through over 60 Scopus-indexed publications and two patents. While no specific awards are mentioned in the text, his leadership in research projects and international collaborations underscores his academic impact. He actively supervises PhD students, including Albin Bajrami, Federico Emiliani, and others, and collaborates closely with colleagues such as Massimo Callegari and Luca Carbonari. He is involved in the i-LABS research initiative, focusing on human-robot collaboration and industrial case studies. His research group is engaged in both fundamental and applied projects, bridging academia and industry.

• Sustainable Architecture
• Urban Resilience
• Climate-Responsive Design
• +۷ مورد دیگر

Maicol Negrello is a Research Fellow and External Lecturer at the Department of Architecture and Design (DAD), Politecnico di Torino. He contributes to teaching in the Master’s Degree Course in Architecture, Society, and Territory and other programs, focusing on architectural and urban composition, sustainable design, and smart cities. His research spans sustainable architecture, urban resilience, climate-responsive design, and nature-based solutions. Key areas include adaptive architecture, urban regeneration, and the study of historical urban forms like Hatra for modern sustainability insights. His work aligns with SDG 11 (Sustainable Cities), SDG 13 (Climate Action), and SDG 15 (Life on Land), and is supported by competitive research projects such as Urban Regen – an operational path towards resilient cities (2025–2026), where he serves as Project Manager. Recent publications explore tools for adaptive design, dialogues between theory and practice, and resilient principles in ancient cities. These works reflect a strong interdisciplinary focus on integrating ecological, historical, and technological perspectives in urban design. His research is published in edited volumes and journals, contributing to discourse in architecture, sustainability, and urban studies. The following scientific contributions highlight his engagement with key themes in contemporary architectural research: Reinterpreting Hatra: Tracing Nature-Based and Resilient Design Principles in Ancient Urban Forms (2025) Adaptive by Nature (2025) Face-to-face discussions. Dialogues between Theory and Practice (2025) Experimenting with adaptive architecture: Tools for climate-responsive design (2025) Maicol Negrello actively collaborates with academic and private research bodies, contributing to both teaching and funded research initiatives. He is involved in interdisciplinary teams focusing on urban sustainability and innovation in design education. His role bridges research, teaching, and practical application in the pursuit of resilient and inclusive urban futures.

Grit im Brahmمشاهده پروفایل

استاد

• Empirical Educational Research
• Teaching Development
• Digital Learning
• +۳ مورد دیگر

Prof. Dr. Grit im Brahm is a Professor for Empirical Educational Research and Teaching Development at Ruhr University Bochum since 2016, co-leading the School Research & School Pedagogy working group with Prof. Gabriele Bellenberg. She is affiliated with the Institute of Educational Science within the Faculty of Philosophy & Education. Her research focuses on digital learning environments, upper secondary education, and school pedagogy. Current projects include 'School and teaching in the culture of digitality' and 'Digital learning in the upper secondary level of the second educational path' (DigiGO), funded by BMBF. Member of International Society for School Practice Studies (IGSP) Member of DGfE's Commission for Educational Organization, Educational Planning, and Educational Law Member of DGfE's School Pedagogy Commission Consultation hours are held via Zoom, with upcoming sessions on July 9, 2024. Master's thesis applications follow strict deadlines based on traineeship start dates.

Malvina Nissimمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing (NLP)
• AI Ethics
• +۳ مورد دیگر

Malvina Nissim is a Professor of Computational Linguistics and Society at the University of Groningen's Faculty of Arts, affiliated with the Center for Language and Cognition Groningen (CLCG). Her research focuses on NLP applications to societal challenges, ethics in AI, and science communication. She is actively involved in initiatives like the Sectorplan's Humane AI theme and the ACL Ethics Committee. Education: Not explicitly listed in provided texts, but her career path suggests doctoral training in linguistics/comp. ling. Research interests include multilingual NLP, bias mitigation in AI, ancient language processing (e.g., AGALMA project), and responsible tech communication. She has co-authored a popular introductory book on Computational Linguistics (in Italian). Publications span topics like dialogue systems, model uncertainty in ed tech, and cross-lingual NLP. Key awards include the 2016 UG Lecturer of the Year. Awards: 2016 Lecturer of the Year, multiple grants (e.g., CLICK-NL 800K for PAGINA project with Dagblad van het Noorden).

• Mechanical Engineering
• Additive Manufacturing
• Finite Element Analysis
• +۳ مورد دیگر

Slawomir KEDZIORA is an Associate Professor of Mechanical Engineering and Design at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computer-Aided Engineering & Additive Manufacturing research group. He serves as the Study Program Director for the Master's in Sustainable Product Creation. His expertise spans additive manufacturing, machine design, and structural analysis, with over 50 peer-reviewed publications and active industry collaborations. Education: PhD in Applied Mechanics (2000) from the Technical University of Lodz, followed by roles as an assistant professor and industry engineer at Delphi, Eaton, and DNV GL. His industry experience focused on reliability and stress engineering for mechanical/civil structures before joining academia in 2014. Teaching: Leads Machine Design courses across undergraduate and graduate programs, including Machine Design I-III (undergraduate), Machine Design Projects (master's), and civil engineering design exercises (2014–present). Supervised four completed PhD students and currently advises three more. Research: Priorities include additive manufacturing innovations, material modeling, and biomechanical testing setups for pelvic fractures. Active in developing functionally graded lattice structures and optimizing hydrogen valve designs for aerospace applications. Industry Collaboration: Engages in R&D projects with industry partners, focusing on material characterization and structural optimization. Leads efforts to bridge academic research with industrial applications in manufacturing and mechanical design.

• Robotics
• Control Systems
• Predictive Control
• +۶ مورد دیگر

Jan Swevers is a Full Professor at KU Leuven , affiliated with the MECO Research Team . His work focuses on predictive control, sensor-based robotics, and optimal motion planning, with applications in autonomous systems, industrial robotics, and aerospace engineering. Research Interests : Predictive control (Model Predictive Control, Iterative Learning Control), sensor-based robotics (surface following, cable shaping), optimal motion planning (Reeds-Shepp algorithms, time-optimal interception), and constraint handling in robotics. Publications : Recent work explores deformable object dynamics, autonomous surface vessel navigation, and computational efficiency in optimal control. Key trends include integrating predictive control with real-time estimation, simplifying complex environments via constraint reduction, and advancing human-like autonomous driving through imitation learning. Advising : Supervised PhD theses on topics like constraint-based robot programming, motion planning, and predictive control for sensor-based tasks. Labs : Leads the MECO Research Team at KU Leuven, focusing on control systems, robotics, and optimal planning.

Volkan Bekir Yangınمشاهده پروفایل

پژوهشگر

• Nonlinear Model Predictive Control
• Vehicle Dynamics
• Trajectory Following
• +۴ مورد دیگر

Volkan Bekir Yangın is a Research Assistant in the Department of Mechanical Engineering at Istanbul Technical University, one of Turkey's leading technical institutions. His work focuses on advanced vehicle control systems and nonlinear model predictive control applications. Dr. Yangın's research primarily centers on vehicle dynamics and control systems, with particular expertise in: Nonlinear Model Predictive Control for vehicle trajectory following Artificial Neural Network applications in vehicle control Computational efficiency improvements in real-time vehicle control systems Path tracking performance optimization Autonomous vehicle safety and redundancy systems His recent publications demonstrate a strong focus on improving vehicle control systems through advanced computational methods, with particular attention to balancing performance and computational efficiency. His work has been cited multiple times, indicating significant impact in the field of vehicle dynamics and control. Dr. Yangın has collaborated extensively with colleagues including Yalçın and Akalın on various vehicle control research projects, suggesting active participation in a research group focused on automotive control systems.

Chad Dallمشاهده پروفایل

دانشیار

• Radiologic Sciences
• Magnetic Resonance Imaging
• Health Science Education
• +۳ مورد دیگر

Chad Dall is an Associate Professor of Radiologic Sciences at Bellin College, where he also serves as the Director of Outreach and Engagement. He is actively involved in academic and professional development within medical imaging and health sciences education. Dr. Dall holds the following academic qualifications: DHSc, Bay Path University MBA, Columbia Southern University BS, University of Wisconsin-Green Bay His expertise lies in radiologic sciences and magnetic resonance imaging, with a strong foundation in clinical practice and healthcare administration. His professional certification includes Registered Technologist (RTR, MR) status from the American Registry of Radiologic Technologists (ARRT), obtained through training at Bellin Hospital School of Radiologic Technology. There are no recent publications listed, so no article trend analysis can be performed. There are no scientific awards listed in the provided information. Dr. Dall advises students in the radiologic sciences program and contributes to curriculum and outreach development, though specific advisees are not listed. There is no mention of research grants or funded projects in the available text. He is associated with the Radiologic Sciences program at Bellin College, which likely involves teaching, clinical coordination, and community engagement activities related to medical imaging education.

Eike Kiltzمشاهده پروفایل

استاد

• Cryptography
• Theoretical Computer Science
• Mathematics
• +۳ مورد دیگر

Professor Eike Kiltz is a prominent researcher in cryptography and theoretical computer science, affiliated with Ruhr University Bochum. He holds the academic rank of Professor and was awarded the prestigious Sofja Kovalevskaja Award in 2011, enabling him to establish and lead an independent research group at his chosen institution. His research focuses on core areas of modern cryptography, including cryptology, information security, and theoretical foundations of computing. Drawing from both mathematics and computer science, his work contributes to the development of secure systems and protocols. The Sofja Kovalevskaja Award, funded by the German Federal Ministry of Education and Research and administered by the Alexander von Humboldt Foundation, supports outstanding early-career researchers from abroad. With up to 1.65 million euros in funding over five years, it allows recipients to design and lead their own research teams. Eike Kiltz utilized this opportunity to return to Ruhr University Bochum after prior research stints at the University of California, San Diego, and Centrum Wiskunde & Informatica in Amsterdam. Sofja Kovalevskaja Award (2011) Eike Kiltz has led independent research projects and hosted guest researchers from countries including Switzerland, Spain, and Denmark. His career path includes doctoral studies and early research at Ruhr University Bochum, followed by international experience that strengthened his academic profile before returning to Germany under the award scheme.

Maria Kalamvokisمشاهده پروفایل

دانشیار

• Virology
• Herpes Simplex Virus Research
• Innate Immunity
• +۵ مورد دیگر

Maria Kalamvokis, PhD is an Associate Professor in the Department of Microbiology, Molecular Genetics and Immunology at the University of Kansas School of Medicine. Her research focuses on understanding how herpes simplex virus (HSV) counteracts host antiviral responses, particularly innate immunity, which plays a critical role in controlling HSV replication, spread, latency, and disease severity. She leads a laboratory investigating viral mechanisms of immune evasion and pathogenesis. Dr. Kalamvokis received her educational training through the following path: BSc from National and Kapodistrian University of Athens, Greece PhD in Virology from National and Kapodistrian University of Athens, Greece & Hellenic Pasteur Institute Post Doctoral Fellowship at the University of Chicago Dr. Kalamvokis's research program emphasizes three main directions: 1) The impact of HSV-1 infection on intercellular communication mediated by extracellular vesicles (EVs), hypothesizing that HSV-1 alters EV properties and functions with consequences for viral infection and pathogenesis; 2) The mechanism by which HSV-1 counteracts pattern recognition receptors (PRRs), with significance stemming from links between PRR mutations and severe HSV diseases; 3) The functions of the immediate-early protein ICP0, particularly its role as an E3 ubiquitin ligase with essential functions in early infection stages, including activating viral gene transcription and counteracting host antiviral responses. Her laboratory has discovered novel ICP0 functions related to endocytosis of cell surface receptors and down-regulation of autophagy adaptors. Analysis of Dr. Kalamvokis's recent publications reveals a strong focus on HSV-1 mechanisms of immune evasion, particularly through manipulation of the STING pathway, extracellular vesicle communication, and autophagy. Her work spans from basic molecular mechanisms to implications for viral pathogenesis and disease severity. A notable expansion in her research portfolio includes investigations into coronavirus biology, particularly SARS-CoV-2, examining how viral proteins affect host cellular processes like intracellular trafficking, autophagy, and interactions with other viruses like HIV-1. This cross-viral research demonstrates the interdisciplinary nature of her laboratory's approach to understanding viral pathogenesis. Dr. Kalamvokis is an active member of several professional organizations: American Society of Microbiology (Member, 2016-Present) American Society of Virology (Member, 2016-Present) Center for Viral Pathogenesis - KUMC (Member, 2016-Present) While specific grant information is not detailed in the provided text, Dr. Kalamvokis's extensive publication record spanning multiple high-impact journals suggests successful grant funding to support her research program. Her laboratory appears to maintain collaborations across multiple institutions, as evidenced by co-authorship patterns in her publications. She has mentored numerous researchers who have contributed to her laboratory's output, though specific student names are not provided in the available information. Dr. Kalamvokis leads a research laboratory focused on viral pathogenesis, with particular expertise in herpes simplex virus mechanisms. Her lab investigates how HSV-1 manipulates host cellular processes including extracellular vesicle communication, innate immune signaling (particularly the STING pathway), and autophagy. The laboratory employs a range of molecular virology, cell biology, and immunology techniques to elucidate viral mechanisms of immune evasion. Her team's recent expansion into coronavirus research demonstrates the lab's adaptability to emerging viral threats while maintaining its core focus on viral pathogenesis mechanisms.