جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• VLSI Design
• Machine Learning Acceleration
• +۴ مورد دیگر

T. N. Vijaykumar is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering. His research focuses on computer architecture, VLSI design, and hardware acceleration for machine learning and datacenter systems. He holds a B.E. (Hons) in Electrical and Electronics Engineering and M.Sc.(Tech) in Computer Science from Birla Institute of Technology and Science, followed by M.S. and Ph.D. in Computer Science from the University of Wisconsin. His work spans GPU architecture optimization, memory systems, network security, and energy-efficient computing. Notable contributions include sparse tensor accelerators, disaggregated datacenter architectures, and secure speculative execution techniques. He has been actively involved in developing accelerators for machine learning inference and frameworks for distributed training of neural radiance fields. His publications address challenges in parallel computing, hardware-software co-design, and real-time systems, with applications in robotics, genomics, and microfluidics. He leads research initiatives funded by NSF and industry partnerships, emphasizing cross-layer optimizations across hardware, software, and networking layers.

• Environmental Engineering
• Water Resources Management
• Soil and Water Conservation
• +۷ مورد دیگر

Bernard A. Engel serves as the Glenn W. Sample Dean of Purdue University's College of Agriculture and holds the rank of Professor in the Department of Agricultural & Biological Engineering. He earned his B.S. and M.S. from the University of Illinois and his Ph.D. from Purdue. His research focuses on soil and water engineering, hydrologic modeling, environmental decision support systems, and the integration of GIS and artificial intelligence. He leads initiatives in sustainable watershed management, precision agriculture, and digital tools for environmental stewardship. Dr. Engel's academic contributions include advancing the USDA Water Erosion Prediction Project (WEPP) model and developing web-based tools like GeoAPEX-P for nonpoint source pollution assessment. He is a Fellow of the American Society of Agricultural and Biological Engineers (ASABE) and recipient of the Gilley Academic Leadership Award. His research spans climate change impacts on water resources, flood risk prediction, and invasive species management in China's coastal wetlands. As Dean of the College of Agriculture, he oversees strategic initiatives in food systems, agricultural technology, and interdisciplinary research. His work bridges engineering and agriculture to address global challenges in sustainability, water quality, and environmental resilience. Key collaborations include modeling urban stormwater control, optimizing nutrient management practices, and advancing the water-energy-food nexus framework.

Joseph Emersonمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Foundations of Quantum Theory
• Quantum Computing
• +۳ مورد دیگر

Joseph Emerson is an Associate Professor at the University of Waterloo's Department of Applied Mathematics and a faculty member at the Institute for Quantum Computing (IQC). He is also a Fellow of CIFAR's Quantum Information Science program and CEO of Quantum Benchmark, a startup specializing in quantum computing error diagnostics. His research focuses on scalable quantum error correction, foundational quantum theory, and protocols like randomized benchmarking, now a global standard for quantum gate characterization. Emerson earned a BSc from McGill University, an MSc in experimental nuclear physics, and a PhD in theoretical physics from Simon Fraser University. His postdoctoral work at MIT and the Perimeter Institute explored quantum randomness and decoherence. He has held roles at IQC since 2005, advancing quantum computing's practical implementation through error suppression and validation techniques. Research Highlights Developed randomized benchmarking for error diagnostics across quantum platforms. Framework for unitary t-designs applied to quantum algorithms and thermodynamics. Investigated contextuality in quantum mechanics as a computational resource. Awards & Recognition Early Researcher Award (Ontario, 2008–2013) CIFAR Quantum Information Science Fellow NSERC Postdoctoral Fellowship (2003–2005) Labs & Affiliations Emerson leads research teams at IQC and collaborates with Perimeter Institute and industry partners. His work bridges theoretical foundations with practical tools for quantum computing scalability.

Mitchell L. Neilsenمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Distributed Systems
• Scientific Computing
• +۷ مورد دیگر

Mitchell L. Neilsen is a Professor in the Department of Computer Science at Kansas State University's College of Engineering, where he also serves as the graduate program director. He holds the Warren and Gisela Kennedy - Carl and Mary Ice Keystone Research Scholar position and maintains an active research program with multiple ongoing projects. His educational background includes a Ph.D. in Computer Science (1992), M.S. in Computer Science (1989), and M.S. in Mathematics (1987), all from Kansas State University, plus a B.S. in Mathematics Education from the University of Nebraska-Kearney (1982). After beginning his career as an assistant professor at Oklahoma State University, he returned to K-State in 1996. Research Interests: Cyber-Physical Systems: Design, Analysis, Verification of systems integrating computing, networking, and physical processes Distributed Systems: Algorithms, design, and analysis of distributed computing systems Scientific Computing: Computational Fluid Dynamics, Finite Element Analysis, High Performance Computing, and Simulation Application Areas: Agriculture technology, Dam safety analysis, Mobile applications, Natural resources management, and Real-time Embedded Systems His research program shows clear evolution toward agricultural technology applications, particularly high-throughput phenotyping, while maintaining strong foundations in cyber-physical systems and scientific computing. Recent publications indicate increasing integration of machine learning and computer vision techniques into traditional research areas. Research Funding: National Science Foundation U.S. Department of Agriculture Sandia National Laboratories Department of Homeland Security Private industry partners Dr. Neilsen has mentored numerous graduate students through their M.S. and Ph.D. programs, with recent advisees focusing on applications in agricultural technology, dam safety, and embedded systems. His advising approach emphasizes practical applications of theoretical computer science concepts. Current Teaching (Fall 2024): CIS 450 - Computer Architecture and Operations CIS 625 - Concurrent Software Systems CIS 720 - Advanced Operating Systems

Michele Germaniمشاهده پروفایل

استاد

• Industrial Engineering
• Ergonomics
• Sustainability
• +۷ مورد دیگر

Prof. Michele Germani is a Full Professor at the Polytechnic University of Marche, Department of Industrial Engineering and Mathematical Sciences. His research focuses on ergonomics, sustainability, and human-centered design, with particular emphasis on industrial automation, wearable technologies, and circular economy principles. He leads projects on ergonomic risk assessment, environmental impact modeling, and smart manufacturing systems. Academic Background: Holds a position in the Faculty of Engineering, contributing to both teaching and research. His work integrates machine learning, sensor-based systems, and virtual reality to address challenges in manufacturing, healthcare, and sustainable design. Research Interests: Prof. Germani explores topics such as design for disassembly, eco-design tools, and the application of advanced technologies (e.g., exoskeletons, cobots) to enhance workplace safety and efficiency. His studies often bridge engineering and environmental science, aiming to reduce carbon footprints through innovative design methodologies. Key Projects: Development of decision support systems for fall risk detection, sensor-based ergonomic evaluation tools, and frameworks for circular economy implementation. He also investigates the impact of Industry 4.0 technologies on workforce dynamics and operator training via mixed reality simulations. Grants & Collaborations: Engaged in interdisciplinary collaborations focusing on sustainable manufacturing, healthcare technology, and smart systems. His research has led to tools like Durabot for durability analysis and Greenbuild for green building design. Labs & Teams: Oversees labs developing eco-design strategies, human-robot collaboration systems, and ergonomic assessment protocols, with a focus on real-world industrial applications.

Fahad Khanمشاهده پروفایل

پژوهشگر

• Intelligent Automation
• Human-Robot Collaboration
• Machine Learning
• +۳ مورد دیگر

Fahad Khan is a Researcher at Cranfield University's Centre for Robotics and Assembly, part of the Aerospace department. He holds an MSc in Robotics Engineering (Cranfield University) and a B.Tech in Mechatronics (NMIMS University). Currently employed full-time as a Research Assistant and part-time PhD candidate, his work focuses on intelligent robotics systems, human-robot collaboration (HRC), and adaptive automation technologies. Education: MSc Robotics Engineering, Cranfield University (UK) B.Tech Mechatronics Engineering, NMIMS University (India) Current Projects: Smart Cobotics (ISCF) project: Developing adaptive HRC systems using physiological and contextual data. EPSRC-funded research on facial emotion recognition for manufacturing robots. Research interests include IoT integration, motion control, and machine learning applications in robotics. He has published on HRC gesture design, emotion recognition systems, and ROS 2-based industrial frameworks. Awards: None explicitly listed. Grants: Supported by Engineering and Physical Sciences Research Council (EPSRC) through the Made Smarter Innovation project. Technical expertise spans ROS, OpenCV, MATLAB, and PLC programming. His LinkedIn and GitHub profiles showcase contributions to robotic systems and machine learning projects.

W. Eric Wongمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Software Reliability
• +۶ مورد دیگر

W. Eric Wong is a Professor of Computer Science at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Computer Science from Purdue University (1993), following earlier degrees from Purdue and Eastern Michigan University. His research focuses on reducing software production costs while enhancing reliability, safety, and quality through program-based and architecture/design-based testing methodologies. Key areas include automated test generation, fault localization, debugging, and software safety analysis. Professional Background: Tenured Professor at UTD since 2002 Prior roles include Senior Scientist at Telcordia Technologies (1995–2002) and Consultant at Texas Instruments (2004–2005) Active in industry partnerships, such as projects with Motorola, Avaya Labs, and Raytheon Research Interests: Software Testing & Debugging Dependable Software Development Security Requirements Engineering Fault Localization Techniques Model-Based Testing Software Reliability Modeling Awards & Recognition: 2007 IEEE COMPSAC Best Paper Award 1997 NASA Quality Assurance Special Achievement Award Recipient of a $404,772 NSF grant for software safety and reliability research (2021) Professional Activities: Editorial roles for journals like Journal of Systems and Software and International Journal of Software Engineering Program Chair for ISSRE 2012, COMPSAC 2010, and multiple ACM SAC conferences Member of IEEE Reliability Society Administrative Committee (2008–2013) IBM System z Curriculum Advisory Panel member Labs & Teams: Leads the Software Engineering Group at UTD, collaborating on projects like eXVanatge (dependable software solutions) and Fault-Prone Module Identification in telecommunications systems. Engages in cross-disciplinary efforts with industry and international institutions.

Shobana Nair Partingtonمشاهده پروفایل

دانشیار

• Hospitality Management
• Tourism Management
• Events Management
• +۵ مورد دیگر

Dr. Shobana Nair Partington serves as Head of the Department for Operations, Technology, Events, and Hospitality Management at Manchester Metropolitan University's triple-accredited Business School, leading a team of 60 academic staff serving over 2,000 students. With over 20 years of academic leadership experience, she also holds strategic university roles as Academic Co-Chair for the Race Equality Charter and Academic Co-Director for Accreditation. Her international teaching engagements span Switzerland, Bulgaria, and Malaysia, reflecting her global perspective on business education. Her educational foundation includes a Master's degree in Economics from the University of Leeds, funded by a Foreign and Commonwealth Office scholarship, and doctoral research at Manchester Metropolitan University supported by the Low Pay Commission. These qualifications underpin her evidence-based approach to labor market analysis. Shobana's research centers on systemic inequalities in hospitality employment, with particular focus on pay practices, working conditions, and minimum wage impacts. Her work bridges economic theory and practical industry applications, examining how structural factors shape employee experiences in service sectors. She integrates psychological safety frameworks with innovation studies to develop actionable insights for organizational change. Analysis of her publication trajectory reveals persistent themes in hospitality labor economics, with evolving emphasis from foundational minimum wage studies toward contemporary investigations of psychological safety and innovation. Her research consistently connects policy implications with operational realities in hotels, cruise ships, and tourism enterprises. Her scholarly contributions have been recognized through: Senior Fellowship of the Higher Education Academy Fellowship of the Institute of Professional Development As an academic supervisor, she has guided six PhD candidates to completion on topics ranging from hotel information systems to tourist transport experiences. Her department drives innovation through the Digital & Technology Solutions degree apprenticeship and applied research initiatives that help businesses adapt to technological disruption. She actively serves on the Chartered Association of Business Schools' Learning, Teaching and Student Experience Committee and as a Senator for the Institute of Professional Development. The department operates as a dynamic hub for industry-engaged scholarship, with faculty from diverse nationalities developing curricula that integrate digital fluency, data analytics, and creative problem-solving. Their research directly informs sector practices while addressing critical challenges like student award gaps and workplace inclusion through the Race Equality Charter framework.

Jonghyuk Chaمشاهده پروفایل

مدرس ارشد

• Digital Transformation
• Digital Government
• Government Transformation
• +۳ مورد دیگر

Dr. Jonghyuk Cha is a Senior Lecturer in Information Systems and Project Management at Westminster Business School, University of Westminster. Previously, he worked as a Research Associate at the University of Manchester and held roles in software/IT consulting. He holds a PhD and MSc from Alliance Manchester Business School and a degree in Industrial Systems Engineering and Business Management from Yonsei University. He was also a Visiting Research Fellow at South Korea's Science and Technology Policy Institute. His research focuses on digital transformation, digital government, organisational project management, and benefits realisation. Key publications explore owner challenges in major projects, digital transformation dynamics, and government transformation strategies. He has been awarded the 2021 JAIS Best Paper Honorable Mention, 2021 BAM Best Developmental Paper Award, and 2017 ICIS Best Paper-a-Thon Paper Award. Teaching modules include Digital Innovation, Project Management, Social Media for Business, and Web-enabled Business. He is part of the Centre for Digital Business Research, contributing to interdisciplinary studies on digital business and organisational transformation.

Girija Chettyمشاهده پروفایل

استاد

• Multimodal Systems
• Medical Image Computing
• Computer Vision
• +۷ مورد دیگر

Girija Chetty is a Full Professor in Computing and Information Technology at the University of Canberra's School of Information Technology and Systems. She holds a PhD in Information Sciences and Engineering and has over 35 years of experience in academia and research leadership roles, including Head of Software Engineering and Program Director of ITS courses. Her research focuses on multimodal systems, medical image computing, AI, and data science. She leads a dynamic research group comprising PhD students, postdocs, and international collaborators. Education: PhD in Information Sciences (Australia, 2007), MSc and BSc in Electrical Engineering/Computer Science (India). She has held visiting roles at Deakin University and CSIRO. Research interests span computer vision, pattern recognition, and medical diagnostics, with 200+ publications in top journals/conferences. Her work addresses global challenges via AI-driven solutions in healthcare (e.g., pain assessment systems, malaria diagnostics) and sustainability (SDG impact frameworks). Projects include AI for remote ultrasound imaging and smart farming systems. She actively collaborates with industry and global research institutions. Grants/Projects: 12 funded initiatives including AI for extreme environment healthcare, malaria pathogen detection, and big data-driven population health. Awards: Senior IEEE/Australian Computer Society membership, editorial roles in IEEE/Elsevier journals. Labs/Teams: Leads a multidisciplinary research group focused on medical AI and multimodal systems.

David Baxterمشاهده پروفایل

دانشیار

• Innovation Management
• Agile Methodologies
• Knowledge and Learning in Innovation
• +۳ مورد دیگر

Dr. David Baxter is an Associate Professor at the University of Southampton, specializing in innovation management, Agile methodologies, and knowledge management within innovation processes. He joined the university in 2014 and previously held a Lecturer position at Cranfield School of Management. His research focuses on understanding how firms innovate successfully, particularly through studies on Agile adoption in public and private sectors, customer insight methods in R&D, and conceptual frameworks for innovation failure. Dr. Baxter teaches innovation management, digital business, and entrepreneurship across MSc, BSc, MBA, and executive programs. He supervises multiple PhD students in Business Studies & Management and actively engages in interdisciplinary research through affiliations with the Centre for Inclusive and Sustainable Entrepreneurship and Innovation and the Advanced Project Management Research Centre. His recent work explores the intersection of generative AI in artistic innovation, digital transformation's impact on Agile practices, and the role of cognitive biases in new product development. He consults on innovation processes, including the FlyZero initiative, and serves on the Council of the Research and Development Management Association. His research projects are funded by entities like Research England and the Association for Project Management.

Gabor Karsaiمشاهده پروفایل

استاد

• Model-Driven Software Engineering
• Embedded Systems
• Cyber-Physical Systems
• +۶ مورد دیگر

Dr. Gabor Karsai is a Distinguished Professor of Computer Science and Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He also serves as Senior Research Scientist at the Institute for Software-Integrated Systems (ISIS), where he contributes to the Executive Council. With over 30 years in software engineering, his research focuses on embedded systems, model-driven development, resilient software platforms, and AI-driven autonomous systems assurance. He holds a PhD from Vanderbilt and degrees from the Technical University of Budapest. Education: Ph.D. in Electrical and Computer Engineering, Vanderbilt University Dr.Tech. in Computer Engineering, Technical University of Budapest M.S. and B.S. in Electrical Engineering, Technical University of Budapest Affiliations: Co-Associate Chair for Computer Engineering External Member of the Hungarian Academy of Sciences His research interests span model-integrated computing , autonomous systems assurance , and radiation-hardened systems . Recent work emphasizes AI integration into engineered systems and radiation effects mitigation for space applications. He has led major projects on distributed control for smart grids and resilient CPS architectures. Over 200 peer-reviewed publications and four patents reflect his contributions to software engineering and systems integration. Awards & Recognition: External Membership in Hungarian Academy of Sciences Leadership roles in ISIS and Vanderbilt's academic governance Advisees & Grants: While no student list is provided, his projects involve collaborative teams across academia and industry. Major sponsors include NSF, NASA, and DARPA. Current work includes the ALC (Assurance-based Learning-enabled CPS) and MIDAS (Model-based Intent-Driven Adaptive Software) initiatives. Labs & Platforms: Co-developer of the RIAPS distributed CPS platform and the SEAM assurance modeling framework. His labs focus on cyber-physical system design, radiation effects analysis, and autonomous system reliability.

Dilian Gurovمشاهده پروفایل

استاد

• Software Specification and Verification
• Multi-Agent Strategic Planning
• Formal Methods
• +۳ مورد دیگر

Dilian Gurov is a Professor in Computer Science at KTH Royal Institute of Technology, associated with the Digital Futures Faculty and the Division of Theoretical Computer Science. He also coordinates the Doctoral Programme in Computer Science at the CSC school. Before joining KTH in 2002, he earned a Ph.D. from the University of Victoria, Canada (1998), and worked at the Swedish Institute of Computer Science (1997-2002). His research focuses on software specification and verification, including contracts, program models, logics, and tools, as well as multi-agent strategic planning involving knowledge-based strategies in imperfect information settings. Key contributions include the CAV Distinguished Paper Award 2023 for 'Automatic Program Instrumentation for Automatic Verification' and an EASST award for 'Checking Absence of Illicit Applet Interactions: A Case Study' (2004). He leads projects funded by VR (SEFROS, ContraST) and Vinnova (AVerT2) and collaborates with industries like Scania on formal verification of C programs. His service roles span over 30 conference committees and organization roles, including PC memberships for iFM, TAP, and ISoLA. Teaching responsibilities include courses such as 'Formal Methods,' 'Program Semantics and Analysis,' and 'Knowledge in Games with Imperfect Information.' His work emphasizes practical applications of formal methods, bridging academic research with industry needs through collaborations and tool development (e.g., CVPP, ProMoVer, TriCo).

Sundaresan Jayaramanمشاهده پروفایل

استاد

• Smart Textile-based Wearable Systems
• Computer-aided Manufacturing
• Engineering Design
• +۸ مورد دیگر

Dr. Sundaresan Jayaraman is a Professor at the School of Materials Science and Engineering, Georgia Institute of Technology, and Founding Director of the Kolon Center for Lifestyle Innovation. His research focuses on converging textiles with computing, notably pioneering the concept of 'Fabric is the Computer.' Key contributions include the Smart Shirt (Wearable Motherboard™), featured in LIFE Magazine and archived at the Smithsonian. He has secured $16M+ in research funding from NSF, DARPA, and industry. His work spans smart textiles, respiratory protection systems, and computer-aided manufacturing. Awards include the 1989 Presidential Young Investigator Award and the 2018 Textile Institute Research Publication Award. He holds ten U.S. patents and serves on editorial and advisory boards for journals like the Journal of the Textile Institute. Professional roles include leadership in National Academies committees on manufacturing and personal protective equipment. Education & Early Career: Dr. Jayaraman’s career began at Software Arts, Inc. (developers of VisiCalc) and Lotus Development Corporation, where he contributed to early spreadsheet and equation-solving software. His PhD research led to TK!Solver, a pioneering equation-solving program. Research Interests: His work bridges engineering and healthcare through smart textiles, wearable biomedical systems, and advanced manufacturing. Current projects address respiratory protection systems, wearable sensor networks, and personalized healthcare technologies. He emphasizes interdisciplinary collaboration to address societal challenges in health, security, and quality of life. Publications & Impact: Over 100 refereed papers and book chapters highlight his contributions to textile informatics, healthcare wearables, and manufacturing automation. Recent articles focus on next-generation respiratory protection devices and continuous fit monitoring systems. Past innovations include the Wearable Motherboard™ and sensor-integrated garments for vital signs monitoring. Awards & Recognition: In addition to his NSF and Textile Institute honors, he received the Georgia Technology Research Leader Award (2000) and Distinguished Alumni Award from A.C. College of Technology (2019). He is a Fellow of the Textile Institute and founding member of IEEE Technical Committees on Biomedical Wearables. Labs & Teams: Leads the Kolon Center for Lifestyle Innovation and collaborates with industry partners on textile-based computing solutions. His lab’s work on 3D-printed respiratory devices and smart garments exemplifies cutting-edge translational research.

Ehud Sharlinمشاهده پروفایل

استاد

• Human-robot interaction
• Tangible user interfaces
• Virtual reality
• +۴ مورد دیگر

Ehud Sharlin is a Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on Human-Computer Interaction (HCI) with specializations in human-robot interaction, tangible interfaces, virtual/augmented reality, and autonomous vehicle interactions. He holds a Ph.D. in Computing Science from the University of Alberta (2003), and M.Sc. and B.Sc. degrees in Electrical and Computer Engineering from Ben-Gurion University of the Negev (1997 and 1990). Teaches CPSC 481: Human-Computer Interaction I Recipient of the NSERC Discovery Accelerator Award (2019), ACM Creativity & Cognition Honourable Mention (2018), and multiple academic excellence awards Active in industry collaborations, particularly in medical simulation (e.g., VRSpineSim) and geosciences (e.g., PLANWELL) Research explores: Embodied interaction through robotics and wearables Autonomous vehicle-pedestrian communication systems Immersive tools for creative and professional domains Accessibility in human-technology interfaces Publications span over 100 peer-reviewed works, emphasizing design methodologies, user experience in XR systems, and ethical considerations in sociotechnical systems. His work bridges technical innovation with human-centered design principles.