جست‌وجوی استاد و پژوهشگر

Andrew Begelمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Neurodiversity
• Accessibility
• +۷ مورد دیگر

Andrew Begel is an Associate Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science. He is also affiliated with the Human-Computer Interaction Institute (HCII) at CMU and holds an Affiliate Professor position at the University of Washington's Information School. Previously, he spent 16 years as a Principal Researcher at Microsoft Research, focusing on software engineering and human-computer interaction. Education: Ph.D. in Computer Science, University of California, Berkeley (2005), advised by Susan L. Graham M.Eng. in Electrical Engineering and Computer Science, MIT (1997), advised by Mitchel Resnick B.S. in Computer Science and Engineering, MIT (1996), advised by Mitchel Resnick Research Focus: His work centers on creating inclusive workplaces for neurodivergent individuals and people with disabilities. Current projects include: AI tools for real-time communication support between autistic/non-autistic individuals Neurodiversity-aware educational programs (e.g., game coding camps for autistic students) VR training for neurotypical allies to understand sensory challenges faced by autistic colleagues Adaptive coding instruction for neurodivergent learners Awards & Recognition: ACM Distinguished Member (2019) National Merit Scholarship (1992) Leo V. Dustman Award in Mathematics Advising & Labs: Runs the VariAbility Lab at CMU Currently advising Jiwoong (Joon) Jang and Darren (Ren) Butler Key Contributions: Pioneered programming-by-voice systems for developers with disabilities Developed collaboration tools like Deep Intellisense and StarLogo for inclusive education Advocated for neurodiversity inclusion in software engineering workplaces

Sheldon Andrewsمشاهده پروفایل

دانشیار

• Real-time physics simulation
• Articulated mechanism simulation
• 3D character animation
• +۵ مورد دیگر

Sheldon Andrews is an Associate Professor of Software Engineering and IT at École de technologie supérieure (ETS) in Montreal, Canada, with an adjunct appointment in Computer Science at McGill University. He is a member of the Multimedia Research Laboratory and has established himself as a leading researcher in physics-based computer animation and simulation. Andrews earned his Ph.D. in Computer Science from McGill University (2015), MASc in Electrical and Computer Engineering from the University of Ottawa (2007), and B.Eng. in Computer Engineering from Memorial University (2004). His academic journey reflects a strong foundation in both theoretical and applied aspects of computer engineering and graphics. His research focuses on real-time physics simulation, articulated mechanism simulation, 3D character animation, motion capture, computational contact mechanics, and virtual environment modeling. Andrews' work bridges the gap between theoretical physics and practical applications in computer graphics, with particular emphasis on creating physically plausible animations that can run in real-time. His research has significant implications for video games, virtual reality, and robotics applications. Analysis of his recent publications (2022-2025) reveals a strong trend toward increasingly sophisticated physics-based character animation techniques, with growing integration of machine learning approaches. His work spans multiple subfields including collision detection, deformable object simulation, vehicle physics, and reinforcement learning for character control, demonstrating both breadth and depth in his research program. VRIPHYS 2012 best paper award for 'Policies for goal directed multi-finger manipulation' Andrews has advised numerous graduate students through their PhD and Master's degrees, with many going on to positions at major companies like DNEG, CM Labs Simulations, and AMD. His professional service is extensive, having served as Program Chair for SCA 2025 and MIG 2024, Conference Chair for I3D 2019, and on program committees for major conferences including SIGGRAPH, SCA, and MIG for multiple years. He has also been active in the Montreal SIGGRAPH Chapter as Secretary from 2018-2021. As a core member of the Multimedia Research Laboratory, Andrews collaborates with researchers across multiple disciplines to advance the state of the art in physics-based simulation. His lab maintains strong industry connections, including a visiting researcher position at Roblox Research, ensuring that theoretical advances translate to practical applications in gaming and virtual environments.

• Social Change in the Digital Age
• Digital Sociology
• Social Inequalities
• +۳ مورد دیگر

Professor Bridgette Wessels holds the position of Professor of Social Inequalities at the University of Glasgow's School of Sociological & Cultural Studies within the College of Social Sciences. Her research focuses on social change in the digital age, particularly addressing inequalities, digital divides, and cultural participation. She has a PhD from the University of Sussex (2000), an MA from the University of York (1994), and a BA from the University of Durham. Affiliations: Glasgow Social and Digital Change Group, ESRC Productivity Institute Scottish Forum, Digital Technology and Social Change hub (CIVIS network) Roles: Editor of Participations: Journal of Audience and Reception Studies , Co-Lead of the ESRC Productivity Institute's Scottish Forum Her research interests include digital society dynamics, methodological innovation, and the societal impacts of technology. Recent projects explore inclusive productivity, AI ethics in smart homes, and telehealth equity. Key contributions include foundational work on digital divides, e-inclusion policies, and participatory design in health services. Her publications span film audience studies, smart city technologies, and digital sociology. She leads interdisciplinary teams on EU and UKRI-funded projects, emphasizing policy impact in areas like open data, health equity, and regional film culture. Grants and collaborations include funding from AHRC, ESRC, EU Horizon, and industry partners like ProQuest and Securekey. She advises on research strategies and has influenced UK and EU policies on digital inclusion and responsible innovation.

Pedro Nardelliمشاهده پروفایل

استاد

• Cyber-physical Systems
• IoT in Energy Systems
• Smart Grids
• +۵ مورد دیگر

Pedro Nardelli is a Full Professor (tenured) of IoT in Energy Systems at the LUT School of Energy Systems, Lappeenranta University of Technology (Finland). He holds a double doctoral degree in electrical engineering from the University of Campinas (Brazil) and communications engineering from the University of Oulu (Finland). As a Docent in Information Processing and Communications Strategies for Energy Systems, he leads research in cyber-physical systems, smart grids, and 6G-enabled energy networks. Research Interests : His work focuses on integrating IoT, AI, and communication technologies into energy systems. Key areas include cyber-physical systems, UAV-enabled networks, sustainable energy management, and cybersecurity in critical infrastructure. He emphasizes interdisciplinary approaches to address challenges in the green-digital transition. Projects & Leadership : He is Principal Investigator for projects such as 'Energy-Conscious Operation: Network Efficiency for Wireless Sustainability' (2024–2026) and coordinates the Finnish-Brazilian AI and 5G training program. Past roles include leadership in the 'Hydrogen and Carbon Value Chains in Green Electrification' initiative (2021–2024). Publications : Recent work explores topics like hybrid optimal power flow models, UAV-IRS NOMA systems, and energy-centric analysis. His research bridges theoretical frameworks with practical applications, emphasizing sustainability and resilience in energy networks. Labs & Teams : Leads the IoT Solutions group within LUT's MORE SIM research platform, focusing on simulation-driven innovation for energy systems.

Richard Lewisمشاهده پروفایل

استاد

• Cognitive Science
• Linguistics
• Computational Linguistics
• +۵ مورد دیگر

Richard Lewis is the John R. Anderson Collegiate Professor of Psychology, Linguistics, and Cognitive Science at the University of Michigan. He directs the Weinberg Institute of Cognitive Science, a hub for interdisciplinary research. His work focuses on computational models of human cognition, particularly language processing architectures, and he co-founded the cognitive science undergraduate major at U-M. Lewis was honored as an Arthur F. Thurnau Professor (2021) for his transformative contributions to undergraduate education. Education: Ph.D., Carnegie Mellon University Research interests span cognitive neuroscience, psycholinguistics, and computational linguistics. His projects investigate how humans process sentences cross-linguistically and adapt predictive models during comprehension. Notable achievements include developing programs that integrate computer science, philosophy, and psychology to study the mind. His articles explore topics ranging from neural noise effects on decision-making to AI's capacity for analogical reasoning. Awards include the Thurnau Professorship, recognizing his dedication to student engagement and curriculum innovation. Lewis advises on interdisciplinary initiatives at the Weinberg Institute and collaborates on projects like icon array communication for public health. His work bridges theoretical models with empirical studies, emphasizing the computational foundations of human cognition.

Peter Groot Koerkampمشاهده پروفایل

استاد

• Agricultural Engineering
• Environmental Engineering
• Animal Production Systems
• +۷ مورد دیگر

Prof. Peter Groot Koerkamp is a Professor and Managing Chairholder at the Agricultural Biosystems Engineering group at Wageningen University. His expertise spans agricultural engineering, environmental systems, and sustainable livestock production. He holds an MSc (1990) and PhD (1998) from Wageningen University, with a focus on ammonia emissions from poultry systems. He has held roles as a researcher, project manager, and senior scientist across multiple institutes before joining Wageningen University in 2005. His research emphasizes sustainable agricultural systems, including manure/nutrient management, gaseous emissions, and animal welfare. He leads projects on methane monitoring in dairy cows, climate control in livestock housing, and bioenergy from segregated excreta. He supervises over 50 PhD students and collaborates on initiatives like the National Growth Fund’s regenerative agriculture projects. Notable projects include Synergia (optimizing dairy systems) and collaborations with the European Society of Agricultural Engineers (EurAgEng). His work integrates environmental engineering with technological innovation, addressing challenges like particulate matter reduction in poultry houses and precision livestock farming.

• Financial Engineering
• Corporate Governance
• Banking Regulation (Basil II)
• +۷ مورد دیگر

WU Jian is a Professor of Finance at NEOMA Business School, serving ten years as Head of the Economics and Finance Department. She teaches investment, financial risk management, and sustainable finance across undergraduate and executive programs. Her research focuses on financial engineering, banking regulation, corporate governance, and ESG integration. Notable contributions include studies on green bonds' impact on manufacturing, carbon pricing mechanisms in EU countries, and the diffusion of corporate social responsibility through board interlocks. Education: Holds a Doctorate in Management Sciences with specialization in Finance. Professional activities include organizing seminars on banking capital structure and presenting at global conferences such as EFMA, AFFI, and ATINER. Recent work emphasizes sustainability topics like smart agriculture evaluation and carbon subsidy effectiveness in Chinese cities. Her publications span journals like Renewable Energy , Economics Letters , and Bankers, Markets & Investors , reflecting expertise in both theoretical finance (e.g., exotic options) and applied sustainability research. Active in international academic networks, she contributes to bridging financial innovation with real-economy applications.

Jette Ernstمشاهده پروفایل

دانشیار

• Digitalization and robotization in hospitals
• Professional identity and boundary constructions in healthcare
• Performance management and work monitoration
• +۳ مورد دیگر

Jette Ernst is an Associate Professor at Roskilde University's Department of Social Sciences and Business, specializing in organizational sociology and management studies. Her research focuses on the social and cultural dimensions of organizational change, particularly in healthcare settings, addressing topics like digitalization, robotics, professional identity, and power dynamics. She holds a PhD and multiple advanced degrees in business and communication studies. Education: PhD, Cand.Negot, Master of Science in Business (Language and Culture with English specialization). Research interests emphasize how automation and organizational restructuring impact healthcare work, employee responses, and professional boundaries. She employs qualitative methods including ethnography and discourse analysis, drawing on Bourdieu's practice theory and framing theory. Key themes include robotization in hospitals, merger processes, and performance management. Notable projects include leading the Independent Research Fund Denmark-funded 'Robot technology in hospitals' (2023-2026) and Helsefonden's 'Human and robot exchanges in Danish hospitals' (2020-2022). Recent publications explore temporal strategies in automation and labor dynamics in automated healthcare systems. Awards: Best Developmental Paper Award (2024), EGOS 'That's Interesting' Award (2017), Emerald/EFMD Doctoral Research Award (2018) Teaching: Courses in organization theory, leadership, HRM, and research methodology Supervision: Active mentor for academic theses at all levels Labs/Teams: Crossroads of Care and Social Reproduction (CARE) research group

Ashish Guptaمشاهده پروفایل

استاد

• Deep Learning
• Machine Learning
• AI
• +۲ مورد دیگر

Ashish Gupta holds the Globe Life Professor title in the Department of Business Analytics & Information Systems at Auburn University and serves as an Adjunct Professor in the Department of Computer Science and Software Engineering. His research focuses on Deep Learning, Machine Learning, AI, Natural Language Processing, and Social Network Analytics. Education: Ph.D. in Management Science and Information Systems from Oklahoma State University. Research trends in his articles emphasize AI-driven solutions for misinformation detection, healthcare analytics, smart grids, and educational pedagogy. Notable themes include real-time fake news detection, pandemic impact studies, and predictive modeling in healthcare and agriculture. No scientific awards or grants are explicitly listed. He advises no formally listed students. His work integrates computational methods with societal challenges, particularly in healthcare, education, and agriculture. Collaborations span interdisciplinary domains, though specific lab affiliations are not mentioned.

Virpi Vellonenمشاهده پروفایل

مدرس

• Special Education
• Educational Technology
• Autism Spectrum Disorders
• +۳ مورد دیگر

Virpi Vellonen is a Lecturer at the University of Eastern Finland , affiliated with the Special Education department under the School of Educational Sciences and Psychology . Her work focuses on leveraging educational technology to support children with autism spectrum disorders (ASD) , emphasizing inclusive pedagogy and student well-being . She has led projects like Student Teacher Well-Being: Deepening Understanding and Building Support (STeWDUBS) , which explored stress and resilience in teacher training. Research Interests : Designing technology-enhanced learning environments for ASD students, strength-based educational models , and DIY (do-it-yourself) educational tools . Key Contributions : Validating inclusion measures in Finnish higher education, analyzing narrative research in teacher well-being, and pioneering participatory design with ASD children and families. Email : virpi.vellonen@uef.fi

Prasad Tadepalliمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۵ مورد دیگر

Prasad Tadepalli is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University, serving as the AI Graduate Program Director. He is affiliated with the Collaborative Robotics and Intelligent Systems Institute. His expertise spans artificial intelligence, machine learning, reinforcement learning, and automated planning, with impactful contributions to explainable AI and natural language processing. Tadepalli holds a Ph.D. from Rutgers University and M.Tech/B.Tech degrees from Indian institutions. He has authored over 100 papers, organized international conferences, and received awards such as the AAAI Outstanding Paper Award (2013) and ICAPS Best Student Paper (2009). Education: Ph.D. (Rutgers University, 1990), M.Tech (IIT Madras, 1981), B.Tech (Regional Engineering College, 1979) His research focuses on advancing AI through techniques like relational planning, reinforcement learning, and interpretable models. Recent work includes integrating planning and RL for multiagent systems and developing explainable models via tree ensemble compression. His articles highlight contributions to time-series imputation, adversarial attacks on bandits, and chess rating estimation using CNN-LSTM networks. Awards: AAAI Outstanding Paper Award (2013), ICAPS Best Student Paper (2009) Tadepalli emphasizes independent thinking in students and has advised numerous researchers. His work bridges theoretical AI with practical applications, such as robotics and data-driven decision-making.

• Educational Psychology
• Student Motivation
• STEM Learning
• +۴ مورد دیگر

David A. Bergin is a Professor of Educational Psychology at the University of Missouri, specializing in student motivation, STEM learning, and the development of interest. He holds a PhD and an Educational Specialist degree from Stanford University. His work emphasizes understanding how motivation influences academic and informal learning, particularly for underrepresented groups. Bergin is a past president of APA's Division 15 (Educational Psychology) and has contributed to editorial boards of top journals like Journal of Educational Psychology . Research Interests : Bergin investigates how interest and motivation drive learning outcomes, classroom engagement, and career choices. He explores the impact of teacher-student relationships, competition, and cultural factors on student achievement. His recent work includes studies on robotics-based engineering education, interdisciplinary neuroscience curricula, and interventions for underrepresented students. Awards & Recognition : Outstanding College Teaching Award (University of Missouri College of Education, 2018) Fulbright Scholar (2013, teaching motivation courses in Chile) Key Contributions : Co-author of Child and Adolescent Development in Your Classroom (3rd ed.), a widely used teacher-training textbook. He has also developed the Classroom Engagement Inventory and contributed to TIMSS data analysis on international education trends. Advising & Grants : Bergin has advised numerous studies on STEM motivation, low-stakes testing, and college access programs for marginalized students. His grants include funding for neuroscience education initiatives and engineering design learning projects.

• Surgery
• Colorectal Surgery
• Proctology
• +۳ مورد دیگر

Dr. Ramazan Kozan is a full-time faculty member in the Department of General Surgery at Gazi University Faculty of Medicine since 2019. His primary affiliations include professional memberships in organizations such as the Turkish Surgical Society, Turkish Society of Colon and Rectal Surgery, and the National Endoscopic Laparoscopic Surgery Society. Colorectal Surgery Pelvic Floor Disorders Robotic & Laparoscopic Surgery da Vinci Robotic Console Surgeon His research focuses on surgical interventions for colorectal diseases, pelvic floor disorders, and robotic laparoscopic techniques. He has contributed to the validation of clinical tools and surgical outcomes in colorectal cancer, and his work includes experimental studies on surgical physiology and postoperative complications. The article trends highlight his expertise in colorectal surgery , minimally invasive techniques , and surgical responses to emerging infectious diseases like SARS-CoV-2. His work bridges clinical practice , experimental research , and cross-disciplinary collaboration in surgical innovation. FACS : Fellow of the American College of Surgeons (2023) FEBS-Coloproctology : European Board Qualification in Colorectal Surgery (2024) He has authored over 40 peer-reviewed publications and actively contributes to editorial and review processes in national surgical journals. His certifications include Endoscopy Training from the Turkish Surgical Society and da Vinci Robotic Console Surgeon accreditation.

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

Jeffrey Lucksteadمشاهده پروفایل

استاد

• International Trade
• Agricultural Policy
• Farm Labor Markets
• +۳ مورد دیگر

Jeffrey Luckstead is a Distinguished Professor of Agricultural and Resource Economics and serves as the Graduate Director at the School of Economic Sciences, Washington State University. He holds a Ph.D. in Economics from WSU (2013), an M.S. in Applied Economics (University of Idaho, 2008), and a B.S. in Economics (University of Idaho, 2006). His academic career includes roles at the University of Arkansas and promotions from Assistant to Associate Professor before joining WSU. His research focuses on International Trade , Agricultural Policy , and Farm Labor Markets , with an emphasis on immigration economics and environmental policy. Recent work examines trade agreements' impacts, labor automation in agriculture, and the role of subsidies in global dairy markets. His articles analyze topics like U.S.-Mexico trade disputes, robotic harvesters’ economic viability, and climate change effects on rice farmers in Bangladesh. Key themes in his publications include trade policy dynamics, labor market challenges in agriculture, and the interplay between technology and global supply chains. His work often bridges theoretical trade models (e.g., gravity models) with applied analyses of agricultural commodities and labor markets. Luckstead’s contributions address critical issues such as food security, trade sanctions, and the socio-economic implications of immigration policies. His interdisciplinary approach integrates economics, policy analysis, and quantitative methods to inform decision-making in agricultural and resource sectors.