جست‌وجوی استاد و پژوهشگر

• Large-scale Agile Software Development
• Software Process Improvement
• Empirical Software Engineering
• +۲ مورد دیگر

Torgeir Dingsøyr is an Adjunct Chief Research Scientist and Research Professor in the Department of IT Management at Simula Metropolitan, a leading Norwegian research institute specializing in software engineering and digital technologies. His role encompasses both strategic research leadership and active empirical investigation into large-scale agile software development and software process improvement. Research Interests Large-scale agile software development methods and governance. Coordination and communication challenges in very large development programmes. Software process improvement (SPI) with emphasis on practical, evidence-based approaches. Teamwork effectiveness and autonomous teams in continuous deployment environments. Digital transformation project organization, particularly within Scandinavian contexts. Across more than two decades, Dingsøyr has produced influential handbooks and empirical studies that bridge the gap between SPI theory and industrial practice. His work increasingly addresses second-generation agile methods, emphasizing safety nets for high-risk development and autonomy at scale. Scientific Awards No specific awards listed in the provided text. Advising & Grants Dingsøyr collaborates extensively with industry and academic partners to secure funding for longitudinal case studies and improvement initiatives. While individual student names are not provided, his publications demonstrate active supervision and mentoring within multi-partner projects. Laboratory & Teams He operates within Simula Metropolitan’s research environment, contributing to interdisciplinary teams that unite software engineering researchers, data scientists, and industrial practitioners to advance empirical software engineering and agile transformation.

Paul Nealeyمشاهده پروفایل

استاد

• Nanolithography
• Nanopatterning
• Block Copolymers
• +۵ مورد دیگر

Paul Nealey is the Brady W. Dougan Professor of Molecular Engineering at the University of Chicago's Pritzker School of Molecular Engineering. His research focuses on directed self-assembly of block copolymers for nanolithography, nanopatterning, and energy storage applications. He holds 14 patents and has authored over 180 publications. Notable collaborations include work with Prof. Juan de Pablo on block copolymer systems and Prof. Shrayesh Patel on ion transport in polymer electrolytes. His honors include American Physical Society fellowship and the 2010 Nanoscale Science Award. Education: PhD in Chemical Engineering (MIT), BChE (Rice University, magna cum laude) Previous Affiliation: Shoemaker Professor at UW-Madison Labs/Teams: Nealey Group (focusing on advanced lithography, nanofabrication, and cell-substrate interactions) His research spans interdisciplinary topics such as nanostructured surfaces for corneal prosthetics, polymer electrolytes for batteries, and computational-experimental teamwork with de Pablo. Current projects emphasize ion transport mechanisms in anion exchange membranes and solid electrolyte development. Awards: 2009 Inventor Recognition Award (SRC), 2010 AIChE Nanoscale Science Award Advising includes co-advised doctoral students and a focus on training graduate students in interdisciplinary molecular engineering. His lab employs postdocs and graduate students in areas like directed self-assembly, liquid crystalline polymers, and energy materials.

Franziska Klüglمشاهده پروفایل

استاد

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +۴ مورد دیگر

Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.

LaShanda T. J. Korleyمشاهده پروفایل

استاد

• Bio-inspired Materials
• Sustainable Polymers
• Plastics Recycling
• +۴ مورد دیگر

LaShanda T. J. Korley is a Distinguished Professor of Engineering at the University of Delaware with joint appointments in Materials Science and Engineering and Chemical & Biomolecular Engineering. She directs the Department of Energy's Center for Plastics Innovation (CPI), co-directs the UD CHARM Materials Research Science and Engineering Center, leads the NSF PIRE project on Bio-inspired Materials and Systems, and serves as Associate Director of the Center for Research in Soft matter & Polymers (CRiSP). Her research program pioneers bio-inspired sustainable materials through a bioeconomy framework, focusing on molecular design of functional polymeric systems including thermoplastics, networks, composites, and gels. Core interests span plastics deconstruction/upgrading, sustainable materials development, and novel fiber/composite manufacturing, with emphasis on lignin-derivable polymers and peptide-polymer hybrids for circular polymer solutions. Recent publications (2024-2025) reveal intense focus on polymer upcycling through advanced depolymerization techniques for polyurethanes, polystyrene, and polyethylene. Her group innovates across catalytic conversion, enzymatic deconstruction, vitrimer chemistry, and bio-hybrid hydrogels, demonstrating interdisciplinary approaches to transform plastic waste into high-value materials while addressing performance-sustainability tradeoffs. Scientific Awards 2023 ACS Fellow 2023 RSC Fellow 2023 AIChE Fellow 2023 ACS POLY Fellow 2023 U.S. Science Envoy 2022 AIChE MAC William W. Grimes Award for Excellence in Chemical Engineering 2022 APS Fellow 2022 ACS PMSE Fellow 2021 AIChE MAC Gerry Lessells Award 2021 Chemical and Engineering News Black Trailblazer 2020 AIMBE Fellow 2019 NOBCChE Lloyd N. Ferguson Young Scientist Award Korley secures major federal funding to advance sustainable polymer science, including DOE support for catalytic plastic waste deconstruction and NSF backing for international bio-inspired materials research. Her grants portfolio drives interdisciplinary collaboration across chemistry, engineering, and environmental science to develop circular economy solutions. She mentors a dynamic research group training next-generation scientists in advanced materials characterization and sustainable design principles. Her laboratories at the University of Delaware integrate molecular synthesis, catalytic testing, and advanced characterization to develop next-generation polymer systems. The research environment emphasizes cross-disciplinary teamwork between chemists, materials scientists, and engineers to tackle plastics sustainability challenges through fundamental molecular design and scalable process innovation.

Natasha Smithمشاهده پروفایل

استاد

• Engineering Education
• Pedagogical Research
• Systems Engineering
• +۵ مورد دیگر

Natasha Smith is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. She holds a Teaching Track position and serves as Director of Undergraduate Mechanical Engineering. Her research focuses on pedagogical strategies in engineering education, systems engineering design, reliability assessment using probabilistic methods, and material property analysis through statistical approaches. A registered professional engineer in Maine, she has 20 years of military service as a U.S. Navy Civil Engineer Corps officer (Seabees), including roles as a military instructor at the U.S. Naval Academy and Associate Professor at the University of Southern Indiana. Dr. Smith’s academic contributions include advancing hybrid course design, integrating industry partnerships into finite element education, and developing hands-on laboratory experiments. She has received the Hartfield Excellence in Teaching Award from The Jefferson Scholars Foundation for her impactful instruction. Her work highlights the intersection of military precision, engineering fundamentals, and innovative teaching methods. Current projects include a Jefferson Trust-funded Moon Base simulation lab for NASA competition training. Her military experience and engineering expertise inform her teaching philosophy, emphasizing practical problem-solving and technical communication. She actively collaborates with industry on experimental design and has published extensively on laboratory pedagogy, reliability analysis, and aerospace systems design since 2001.

• Model-Based Systems Engineering
• Software Development
• Aerospace Engineering
• +۴ مورد دیگر

Konstantinos KANAVOURAS is a Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, specifically in the Space Systems Engineering research group (SpaSys). He is advised by Prof. Andreas Hein and focuses on model-based systems engineering, software development, and aerospace engineering applications in satellite systems. His research integrates agile methodologies and machine learning for spacecraft design and anomaly detection. Kanavouras holds a Master’s degree from Aristotle University of Thessaloniki (2021) and contributed as an avionics engineer to ESA’s AcubeSAT nanosatellite project under the Fly Your Satellite! program. His work emphasizes lightweight data management tools, PocketQube missions like POQUITO, and fractionated satellite systems for planetary observation. His publications highlight trends in small satellite development, including agile systems engineering practices, thermal anomaly detection via machine learning, and adapting space projects to remote collaboration (e.g., during the pandemic). Key projects include the University of Luxembourg’s first PocketQube mission (POQUITO) and lean approaches to spacecraft subsystems. Current affiliations include the SpaSys group at SnT, with a focus on interdisciplinary collaboration between systems engineering and software development. No scientific awards are listed, but his work aligns with cutting-edge space technologies and mission design.

• Information Systems
• Knowledge Management
• Digital Transformation
• +۳ مورد دیگر

Rajiv Sabherwal is Distinguished Professor and Edwin & Karlee Bradberry Chair in the Information Systems department at the Walton College of Business , University of Arkansas . A Fellow of IEEE, AIS, and Asia-Pacific Artificial Intelligence Association, he has performed numerous editorial roles including Editor-in-Chief for IEEE Transactions on Engineering Management and co-Deputy Editor-in-Chief for Journal of Strategic Information Systems . Education: PhD in Information Systems (University of Pittsburgh), Post Graduate Diploma in Management (IIM Calcutta), BE in Electronics Engineering (Regional Engineering College, Bhopal University) Research Interests focus on information technology management, knowledge processes, and strategic alignment. His work examines digital transformation, virtual teams, and societal impacts of generative AI, with publications in MIS Quarterly , Information Systems Research , and Management Science . Awards include: AIS LEO lifetime achievement award Fellow of IEEE Fellow of Association for Information Systems Fellow of Asia-Pacific Artificial Intelligence Association Recent Publications analyze IT investment strategies, cultural heritage preservation through technology, pandemic-era digital challenges, and mobile app security. His work appears in journals like Journal of Information Technology , Computers in Human Behavior , and Journal of Global Information Technology Management .

Denise Sekaquaptewaمشاهده پروفایل

استاد

• Stereotype Threat
• Implicit Bias
• Prejudice
• +۵ مورد دیگر

Denise Sekaquaptewa is Professor of Psychology and Associate Chair at the University of Michigan's College of Literature, Science, and the Arts, with affiliations in Organizational Studies. Her research examines how stereotyping and prejudice impact academic performance and motivation, particularly for women and underrepresented groups in STEM fields. Her educational background includes a Ph.D. from Ohio State University. Ph.D., Ohio State University Sekaquaptewa's experimental work investigates implicit stereotyping, stereotype threat, and category salience effects on test performance. Current projects analyze environmental influences on women in STEM and stereotypes' role in interracial communication. She develops interventions to mitigate bias through social norm messaging and behavioral modeling, emphasizing real-world applications in educational settings. Her recent publications reveal a concentrated focus on microaggressions, mentorship dynamics, and gender/racial bias in STEM education through experimental and longitudinal approaches. The research spans social psychology, educational psychology, and diversity science, consistently targeting actionable solutions for inclusion challenges. Key scientific recognition includes: Distinguished Service Award, Society for Psychological Study of Social Issues (2015) Harold R. Johnson Diversity Service Award, University of Michigan (2014) Sarah Goddard Power Award for advancing women's status (2012) Association for Psychological Science Fellow (2012) She has secured over $1.2 million in National Science Foundation funding as PI/co-PI for projects addressing microaggressions in engineering teams and women's participation in STEM. Her grants demonstrate sustained commitment to translating research into institutional change through evidence-based interventions. Sekaquaptewa leads the Sekaquaptewa Lab, which employs experimental methods to study bias mechanisms while collaborating with interdisciplinary teams across psychology, engineering, and organizational studies to develop scalable inclusion strategies.

Nilanjan Sarkarمشاهده پروفایل

استاد

• Human-Robot Interaction
• Human-Computer Interaction
• Robotics
• +۶ مورد دیگر

Nilanjan Sarkar is the Vice Dean and Senior Associate Dean for Faculty Affairs at Vanderbilt University's School of Engineering, holding the David K. Wilson Professorship in Engineering. He is a Professor in Mechanical Engineering, Computer Engineering, and Computer Science. His research focuses on intelligent systems for human interaction, including robotics, virtual/augmented reality, and assistive technologies for neurodevelopmental disorders and aging populations. Education: PhD (Mechanical Engineering, University of Pennsylvania), ME (Indian Institute of Science), BE (Indian Institute of Engineering Science and Technology, Shibpur). Research interests span human-robot interaction, sensor fusion, and rehabilitation engineering. His lab develops systems for autism intervention, stroke rehabilitation, and elderly engagement through socially assistive robotics and VR/AR. Notable projects include robot-mediated therapy for children and AR telepresence systems for long-term care facilities. Labs/Teams: Robotics and Autonomous Systems Laboratory. Key contributions include CoMove, RASSLE, and the Career Interview Readiness in VR platform. His work emphasizes participatory design with end-users for ethical and inclusive technology.

Sylvia Hubner-Benzمشاهده پروفایل

استادیار

• International Management
• Cross-Cultural Differences
• Entrepreneurial Behavior
• +۳ مورد دیگر

Jun.-Prof. Dr. Sylvia Hubner-Benz is an Assistant Professor of International Management at the University of Paderborn, leading the Management International Management department within the Faculty of Business Administration and Economics. Her research focuses on cross-cultural dynamics in entrepreneurship, innovation, and virtual teamwork, with projects like SeeHerTech addressing female visibility in high-tech sectors. She teaches core courses such as 'International Business' (BSc) and 'International Comparative Management' (MSc), emphasizing practical application and global perspectives. Research interests span international management, cultural diversity, and technology's role in entrepreneurship. She leads the BMBF-funded SeeHerTech project (2024–2027), developing AI tools to support female entrepreneurs' communication strategies. Collaborations include the Technical University of Munich and industry partners like coolnis and UFUNDI. Her teaching integrates real-world projects, such as the X-Culture program for intercultural virtual teams. She has published extensively on topics like robot leadership, entrepreneurial ethics, and gender stereotypes in recruitment. Current research explores human-AI collaboration, leadership behavior in robotics, and innovation in Asian business contexts. Grants include Federal Ministry of Education and Research (BMBF) funding for SeeHerTech. Her work bridges academic research with practical tools, aiming to enhance international teamwork and equity in tech industries.

Patrick Dumondمشاهده پروفایل

دانشیار

• Vibration and Acoustic System Design
• Inverse Eigenvalue Methods
• Mechanical/Biomechanical Design
• +۳ مورد دیگر

Associate Professor Patrick Dumond holds a Ph.D., M.A.Sc., and B.A.Sc. from the University of Ottawa. He is affiliated with the Department of Mechanical Engineering, Faculty of Engineering. His research focuses on vibration/acoustic system design, inverse eigenvalue methods, biomechanical design, design theory, musical acoustics, and experiential engineering education. He actively contributes to the Centre for Entrepreneurship and Engineering Design (CEED) and advises students in engineering competitions. His work bridges mechanical engineering with biomedical and educational applications, emphasizing practical, hands-on learning. Education: All degrees earned at the University of Ottawa—Ph.D. (2015), M.A.Sc. (uOttawa), B.A.Sc. (uOttawa). Research interests include vibration systems, biomedical prosthetics (e.g., hip joint prostheses), and machine learning for fault diagnosis. He has published extensively on topics like bearing fault detection, data fusion, and educational program design. Professional Involvement: CEED co-development, advising student teams, and advancing multidisciplinary engineering education. Labs/Teams: Core contributor to the Centre for Entrepreneurship and Engineering Design (CEED).

• Engineering Education
• Gender Inclusivity in Engineering
• Industry Engagement in Engineering Education
• +۳ مورد دیگر

Sally Male is an Adjunct Professor at The University of Western Australia and holds a position as Professor and Director of the Teaching and Learning Laboratory at The University of Melbourne. Her research focuses on engineering education, gender inclusivity, and industry engagement, with a particular emphasis on curriculum development and student experience improvement. She has led multiple national projects funded by organizations like the Australian Government Office for Learning and Teaching and the National Centre for Student Equity in Higher Education. Her educational background includes a PhD examining industry perceptions of engineering graduate competencies. She has extensive teaching experience, including supervising PhD students, coordinating engineering design projects, and developing workshops on curriculum design. Her work aligns with UN Sustainable Development Goals, particularly in fostering inclusive and equitable education systems. Research Interests: Engineering Education, Gender Inclusivity, Threshold Concepts, Work Integrated Learning, Industry-Academia Collaboration Grants: National Centre for Student Equity in Higher Education (2017) Australian Government Office for Learning & Teaching (2015–2013) UWA Education Research Seed Funding (2013) Awards: AAEE Award for Engineering Education Research Design (2021), Best Student Paper (2020) Her contributions extend to editorial roles, including serving as Editor-in-Chief of the Australasian Journal of Engineering Education . She actively promotes STEM education equity and has published over 90 research outputs, emphasizing practical solutions for enhancing student capabilities and societal impact.

Chris Cliftonمشاهده پروفایل

استاد

• Data Mining
• Data Science
• Machine Learning
• +۴ مورد دیگر

Chris Clifton is a Professor of Statistics (Courtesy) at Purdue University, affiliated with the Department of Computer Sciences and the Department of Statistics. He holds a Ph.D. from Princeton University (1991) and has over 30 years of experience in academia and industry. His research focuses on data privacy, data mining, and database security, with notable contributions to privacy-preserving techniques and differential privacy. Education: B.S./M.S. in Computer Science and Engineering, MIT (1986) M.A./Ph.D. in Computer Science, Princeton University (1988/1991) Research Interests: Data privacy (including anonymization, disclosure limitation), machine learning fairness, privacy-preserving data mining, database security, and interdisciplinary applications in healthcare and logistics. Awards: IEEE Fellow (2020) ACM Distinguished Member (2017) Multiple College of Science Awards (Teaching, Teamwork, Mentoring) Grants & Advising: Led NSF-funded research on algorithmic bias and privacy metrics. Advised numerous graduate students in data science and security. Played roles such as Interim Department Head (2023–2024) and served on NSF program director teams. Labs/Teams: Active in Purdue’s Data Privacy Research Group and collaborations with industry partners like MITRE and NSF initiatives.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

Gaurav Nandaمشاهده پروفایل

استادیار

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +۴ مورد دیگر

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.