جست‌وجوی استاد و پژوهشگر

Junfeng Maمشاهده پروفایل

دانشیار

• Operations Research
• Data Analytics
• Sustainable Product/System Design
• +۴ مورد دیگر

Junfeng Ma is an Associate Professor and Graduate Coordinator in the Department of Industrial and Systems Engineering at Mississippi State University (MSU), part of the Bagley College of Engineering. He earned his Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University (2016), M.S. in Engineering Management from Wilkes University (2010), and B.S. in Mechanical Engineering and Automation from Xi’an Jiaotong University, China (2007). His research focuses on operations research, data analytics, and sustainable systems design, with applications in supply chain optimization, advanced manufacturing, and environmental engineering. Key research areas include: - Sustainable product/system design and life cycle assessment - Supply chain management and optimization under uncertainty - Integration of emerging technologies (VR, drones, blockchain) in healthcare and construction - Additive manufacturing and modular product design He is an active member of IISE, ASME, The Design Society, and ASEE. Notable honors include the ASME-DFMLC Scholar Award (2014, 2015). His work addresses real-world challenges like marine debris management, pandemic supply chain resilience, and virtual reality-based training solutions. Professional contributions include: - Development of stochastic optimization models for blood supply chains - AI-driven vehicle health monitoring systems - VR applications in nursing education and safety training - Collaborative robotics in construction and manufacturing Labs/Initiatives: Focuses on interdisciplinary projects blending engineering, data science, and sustainability. Active in MSU’s ISE Department’s research clusters on smart logistics and eco-design.

Mashrur Chowdhuryمشاهده پروفایل

استاد

• Cyber-Physical Systems for Connected and Autonomous Vehicles
• Cyber-Physical Systems for Smart Cities
• Intelligent Transportation Systems
• +۴ مورد دیگر

Dr. Mashrur “Ronnie” Chowdhury is the Eugene Douglas Mays Chair of Transportation and holds triple professorial appointments in Automotive Engineering, Civil Engineering, and Computer Science at Clemson University. He is the founding director of the USDOT UTC National Center for Transportation Cybersecurity and Resiliency (TraCR) and the USDOT UTC Center for Connected Multimodal Mobility (C2M2), and co-director of the Complex Systems, Analytics and Visualization Institute (CSAVI). Education B.S., Civil Engineering – Bangladesh Institute of Technology, 1988 M.S., Transportation – Morgan State University, 1991 Ph.D., Civil Engineering – University of Virginia, 1995 Research Interests Dr. Chowdhury’s scholarship converges at the intersection of cyber-physical systems , connected and autonomous vehicles , and smart-city transportation . His work advances secure, resilient, and data-rich mobility by integrating big-data analytics , artificial intelligence , and vehicle-to-everything (V2X) communication . Core themes include: Cyber-Physical Systems for Connected and Autonomous Vehicles Cyber-Physical Systems for Smart Cities Transportation Cybersecurity and Resiliency Big-Data-driven Intelligent Transportation Systems Sustainable and Green Transportation Solutions Publication Landscape Between 2009 and 2015, Dr. Chowdhury authored or co-authored more than 45 refereed journal articles. These works collectively trace an evolution from foundational traffic simulation and incident-management studies to cutting-edge research on connected vehicle security , energy-efficient electrified transportation , and big-data-enabled urban mobility analytics . A pronounced emphasis on cyber-physical security , overweight-truck infrastructure impacts , and real-time AI applications is evident across the portfolio. Scientific Awards & Honors Wilbur Smith Distinguished Transportation Educator Award (2015) AASHTO High-Value Research Project Award (2014) Faculty Mentoring Award, CECAS (2013) McQueen Quattlebaum Faculty Achievement Award (2012) National Academy of Engineering Indo-U.S. Frontiers of Engineering Invited Speaker (2012) Clemson Board of Trustees Award for Faculty Excellence (2011, 2010) IDEaS Professor, CECAS (2010) Frank A. Burtner Award for Excellence in Advising (2010) Murray Stokeley Award for Excellence in Teaching (2009) Fellow, American Society of Civil Engineers (ASCE) Senior Member, IEEE Advising & Grants Dr. Chowdhury has mentored more than 30 Ph.D. and M.S. students whose names appear as first or co-authors on his publications. His research funding portfolio includes multi-million-dollar grants from the U.S. Department of Transportation (USDOT) through two national UTC centers—TraCR and C2M2—focused on cybersecurity and multimodal mobility innovation. Laboratories & Teams He directs the Connected Transportation Lab located in 351 Engineering Innovation Building and maintains an office in 216 Lowry Hall. These facilities host interdisciplinary teams of graduate researchers, post-docs, and visiting scholars advancing next-generation connected and autonomous transportation systems.

David Pisingerمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Network Design
• +۳ مورد دیگر

David Pisinger is a Professor at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on Operations Research, Management Science, and Optimization, with significant contributions to maritime transportation, offshore wind farm design, and stochastic optimization. He leads the DECIDE project (ERC-2022-ADG), exploring machine learning for decision-making under uncertainty. His research interests include network design, vehicle routing, energy systems modeling, and combinatorial optimization. Notable recent work addresses challenges in multi-parallel-aisle warehouses, tramp ship routing, and immunization strategies for epidemic outbreaks. Research Trends in Articles: Recent publications emphasize maritime logistics, renewable energy optimization (offshore wind farms), and stochastic programming applications. His work bridges theoretical optimization and real-world problems in transportation, energy, and telecommunication networks. Awards: ERC-2022-ADG Grant (2023) Finalist - EURO Excellence in Practice Award (2021, 2018) Best Student Paper Award (ICORES 2017) Advising & Grants: Supervises PhD students in stochastic optimization, energy systems, and maritime logistics. PI of projects like DECIDE (2024–2029), SUSTAINABULK (2022–2025), and others. Teams/Labs: DECIDE Project Team (machine learning for decision-making under uncertainty). Collaborations on offshore wind farm optimization, energy system modeling, and maritime logistics.

Salem Al-Agtashمشاهده پروفایل

استاد آموزشی

• Smart Microgrids
• Agent Systems
• Machine Learning
• +۳ مورد دیگر

Salem Al-Agtash is a Teaching Professor of Computer Science and Engineering at the School of Engineering, German Jordanian University (Amman, Jordan). He holds a Ph.D. in Electrical Engineering from the University of Colorado at Boulder (1998). His expertise spans Smart Microgrids, Agent Systems, and Machine Learning, with a focus on integrating computational tools like SPADE (Smart Python Agent Development Environment). He has published 54 peer-reviewed articles, including work on microgrid optimization, agent-based systems, and energy efficiency. His industrial experience includes EU-funded projects (Africa-Connect, EUMed-Connect) and consultancy in technology development. Education: B.Sc. Electrical Engineering, Boğaziçi University (Turkey, 1988) M.Sc. Electrical Engineering, University of Colorado Denver (1995) Ph.D. Electrical Engineering, University of Colorado Boulder (1998) Research Interests: Dr. Al-Agtash’s research combines energy systems, computational intelligence, and software engineering. His work on Smart Microgrids addresses decentralized control and renewable integration, while his Agent Systems research focuses on adaptive protocols and multi-agent coordination. Recent contributions include developing Python-based tools for microgrid management and enhancing wireless sensor networks for industrial applications. Awards: Excellence Award for Open Learning Resources Development (German Jordanian University, 2016) Academic Distinction Award (Scientific Foundation of Hisham Adeeb Hijjawi, 2004) Fulbright Alumni Development Program (2001) Best International Student Achievement Award (Boğaziçi University, 1988) Teaching & Advising: Dr. Al-Agtash teaches Computer Networks, Operating Systems, and C Programming. His courses emphasize practical skills for modern computing challenges. While no formal advisees are listed, his research collaborations involve mentoring students in agent systems and energy informatics. Labs/Teams: He collaborates with international teams on EU-funded projects, including frameworks for smart microgrids and regional e-infrastructure initiatives.

Joanne Coxمشاهده پروفایل

استاد

• Adolescent Medicine
• Health-services Research
• Urban Underserved Pediatrics
• +۵ مورد دیگر

Joanne Cox, MD, is a faculty physician at Boston Children’s Hospital and Professor of Pediatrics at Harvard Medical School. For four decades she has led clinical-research programs focused on improving health-care delivery for underserved urban children and adolescents, with emphasis on teen parenting, childhood obesity, asthma, and immunisation uptake. Education: MD, Wayne State University School of Medicine, 1981 Internship, Pediatrics, Tufts Floating Hospital for Children, 1982 Residency, Pediatrics, Tufts Floating Hospital for Children, 1984 Fellowship, Adolescent Medicine, Boston Children’s Hospital, 1985 Research Focus: Dr Cox conducts multi-site demonstration projects that evaluate and enhance parenting self-efficacy among adolescent mothers and fathers, deploy mentor-based interventions for children with school and behavioural problems, and test multidisciplinary weight-management models for urban youth. Her work integrates psycho-educational group curricula, care-coordination protocols, and social-determinants screening within primary-care settings. Publication Trends: Across 70+ peer-reviewed articles (1995-2024) her scholarship clusters into four dominant themes: (1) adolescent pregnancy prevention and parenting support, (2) quality-improvement trials for asthma and obesity, (3) disparities-oriented HPV and routine immunisation studies, and (4) health-services interventions addressing food insecurity, housing instability, and missed appointment patterns. Study designs range from randomised controlled trials to mixed-methods qualitative analyses, consistently targeting racially/ethnically diverse, low-income populations. Clinical & Community Impact: She directs longitudinal cohort studies and safety-net collaboratives that have informed national Bright Futures guidelines and hospital-based care-coordination standards. Continuous NIH and HRSA funding underpins randomized trials demonstrating improved BMI trajectories, reduced ED asthma visits, and higher HPV vaccine completion rates. Advising & Grants: While specific trainees are not listed, her federally funded projects employ research coordinators, biostatisticians, and post-doctoral fellows, indicating active mentorship within the Harvard-Boston Children’s scholarly community. Laboratory / Teams: Dr Cox leads the Raising Adolescent Families Together program and the Coordinated Asthma & Obesity Programs at Boston Children’s Primary Care Center, managing multi-disciplinary teams of pediatricians, social workers, dietitians, and community health workers.

Lauren Reddenمشاهده پروفایل

دانشیار

• Experiential learning in construction education
• Preconstruction
• Mobile technologies
• +۳ مورد دیگر

Lauren Redden is an Associate Professor at the McWhorter School of Building Science, Auburn University. She has six years of industry experience in commercial and multi-family residential sectors before joining academia in 2015. Her roles include teaching undergraduate and graduate courses such as construction estimating, project management, construction documents, and disaster recovery processes. Education: Bachelor of Science in Building Construction, Auburn University Master of Building Construction, Auburn University Research focuses on experiential learning in construction education, preconstruction methodologies, mobile technologies, sustainable construction materials, and career development. Notable projects include service-learning courses and studies on virtual reality safety training. Recent articles highlight curriculum innovations, industry-software utilization, and post-disaster recovery education. She was honored as a 2019 AGC '40-Under-40' in Construction. Leadership includes organizing national conferences and study abroad programs to the UK, Europe, and UAE. Her work emphasizes bridging academia-industry gaps through hands-on learning and technology integration.

Raha Akhavanمشاهده پروفایل

استاد

• Stochastic Modeling
• Health and Humanitarian Logistics
• Medical Decision Making
• +۳ مورد دیگر

Raha Akhavan is a **Professor of Operations Management & Business Analytics** at the Sabanci School of Management, Sabanci University (Nov 2021–present). Previously, she served as Associate Professor at the same institution (2016–2021) and at Universidad de los Andes in Colombia (2014–2016), with earlier roles as an Assistant Professor (2009–2014) and a Senior Industrial Engineer at Intel Corporation (2006–2009). Education: Ph.D., Industrial and Systems Engineering, North Carolina State University (May 2011) M.Sc., Industrial and Systems Engineering (Operations Research co-major), North Carolina State University (August 2005) B.Sc., Industrial Engineering, Sharif University of Technology (December 2001) Research Interests : Stochastic modeling applied to health and humanitarian logistics, medical decision making, revenue management, vehicle routing problems, and manufacturing systems. Her work bridges theoretical operations research with practical applications in healthcare, disaster management, and environmental science. Publications : Over 30 peer-reviewed articles in top journals like Decision Analysis , Information Systems Research , and European Journal of Operational Research , focusing on dynamic policies for healthcare crises, disaster risk management, and optimization frameworks for logistics and infrastructure systems. Awards & Memberships : Member of INFORMS, IISE, IEEE, and ASQ. No specific awards listed, but her extensive publication record reflects recognition in her field. Grants & Labs : Active in collaborative projects involving disaster response, urban air quality modeling, and healthcare logistics. No specific grant details provided.

Cristina Requejoمشاهده پروفایل

دانشیار

• Operational Research
• Integer Programming
• Combinatorial Optimization
• +۷ مورد دیگر

Cristina Requejo is an Associate Professor at ISEG – Lisbon School of Economics and Management, University of Lisbon, and a researcher at CEMAPRE/REM. Her academic career spans institutions including the University of Coimbra and the University of Aveiro, where she held teaching and research roles in mathematics and operational research. Education: PhD in Mathematics, Operations Research – Faculty of Sciences, University of Lisbon (2004) Master's in Operational Research – University of Lisbon Degree in Mathematics – University of Coimbra Her research centers on optimization, particularly integer programming, combinatorial optimization, robust optimization, vehicle routing, and healthcare logistics. She applies advanced mathematical programming techniques to real-world problems in logistics, scheduling, and network design. Her work bridges theoretical algorithm development and practical applications in sectors like healthcare and transportation. The most recent publications reflect a strong focus on MIP-based heuristics, Lagrangian duality, and vehicle routing with skill and temporal constraints. Her research consistently appears in high-impact operations research journals, demonstrating sustained contributions to algorithmic and modeling advances in optimization. Scientific Awards: No awards explicitly mentioned in the text. She has supervised multiple graduate students, including doctoral candidates funded by FCT scholarships, and has contributed to active research projects promoting international collaboration. Her teaching includes advanced courses in decision making, optimization, and operational research at the doctoral and master’s levels. She is affiliated with research labs such as CEMAPRE/REM, contributing to a vibrant research environment in applied mathematics and economics.

• Operational Research
• Staff Scheduling
• Job Shop Scheduling
• +۴ مورد دیگر

Andreas Klinkert is a Professor at the Zurich University of Applied Sciences (ZHAW) , specifically affiliated with the School of Engineering and the Institute of Data Analysis and Process Design . His work focuses on operational research and optimization problems in complex industrial and logistical environments. Project Leader: Airport Ground Staff Scheduling (2023) Team Member: SARS-CoV-2 Intervention Modelling Extension Project Leader: Operational Staff Planning (2021) Project Leader: Automated Staff Scheduling (2020) Deputy Project Leader: Flight Network Simulation at Swiss International Air Lines His research integrates computational modeling with practical applications in staff rostering, production planning, and airport logistics. With a focus on combinatorial optimization and dynamic scheduling, he has developed algorithmic solutions for real-world problems across multiple industries. Klinkert has contributed to the field through publications on topics like job shop scheduling with blocking constraints, multi-skill staff rostering, and large-scale crew scheduling. His work often involves interdisciplinary collaborations and practical implementations of optimization algorithms in industrial settings.

• Data Analytics
• Machine Learning
• Evolutionary Game Theory
• +۵ مورد دیگر

Raymond Chiong is an Associate Professor at the School of Electrical Engineering and Computing , University of Newcastle, Australia. He holds a PhD in Computer Science (University of Melbourne) and an MSc in Computer Science (University of Birmingham, UK). His research spans machine learning , agent-based modeling , and evolutionary optimization , with applications in depression detection , energy-efficient scheduling , malicious domain identification , and financial forecasting . Education PhD, University of Melbourne MSc, University of Birmingham (UK) Research Interests Automated intelligent computing methods Agent-based modeling of societal dynamics Machine learning for health and finance Evolutionary algorithms for industrial optimization Scientific Awards 2019 Faculty Award for Research Supervision Excellence 2016 Vice Chancellor's Early Career Research Award 2015 NSW Young Tall Poppy Science Award 2015 Faculty Award for Research and Innovation Industry Collaborations Scientific Advisory Board of Complexica (Australia) International Scientific Advisory Board of Zio (Spain) Projects with Komatsu and SOS Technology Editorial Roles Editor-in-Chief, Journal of Systems and Information Technology Editor, Engineering Applications of Artificial Intelligence Former Editor-in-Chief of Interdisciplinary Journal of Information, Knowledge, and Management Former Associate Editor for IEEE Computational Intelligence Magazine

• Management Accounting
• Value Chain Management
• Operations Management
• +۵ مورد دیگر

Peter Letmathe is a Professor and Chair of Management Accounting at RWTH Aachen University's Faculty of Business and Economics, where he has led the department since October 2011 and served as dean from 2018 to 2021. His academic journey includes professorships at University of Bayreuth and University of Siegen, where he founded the Small and Medium Sized Enterprise Institute Siegen in 2003. He maintains visiting professorships at University of Colorado at Boulder and Clemson University since 1999. His research interests focus on Behavioral Management Accounting, Value Chain Management, Business Modeling, and Managerial Accounting and Innovation Management. His interdisciplinary work spans the mobility sector, energy transformation, digitization of industry, and information and communication technologies, with particular emphasis on sustainability applications. His recent publications demonstrate a strong focus on decarbonization strategies, electric mobility economics, and sustainable operations management, reflecting current global challenges in energy transition and environmental sustainability. Professor Letmathe received the prestigious EURO award for the Best EJOR Paper 2013 (Innovative Applications of OR) for his work on emissions trading. He has been actively involved in numerous interdisciplinary research projects with industry partners, contributing practical insights to his academic work. His leadership extends to scientific boards including the FOKOS-Institute, the Gesellschaft für Operations Research (GOR e.V.), and BAUM e.V., demonstrating his influence in both academic and professional spheres. With over 80 interdisciplinary research projects and extensive publications in top journals including Journal of Operations Management, European Journal of Operational Research, and International Journal of Production Economics, Professor Letmathe has established himself as a leading scholar in management accounting with strong connections to sustainability and operational excellence.

Md Alimoor Rezaمشاهده پروفایل

استادیار

• Computer Vision
• Robotics
• Machine Learning
• +۴ مورد دیگر

Md Alimoor Reza serves as an Assistant Professor of Computer Science in the Department of Mathematics and Computer Sciences at Drake University's College of Arts & Sciences. He leads the Computer Vision and Robotics Lab and teaches courses including Introduction to Computer Science, Computer Vision, Machine Learning, and Robotics. His academic journey culminated with a Ph.D. from George Mason University under Professor Jana Kosecka. Ph.D. in Computer Science, George Mason University (Advisor: Jana Kosecka) Professor Reza specializes in computer vision, robotics, and machine learning with applications spanning cognitive science, biology, medical diagnosis, and engineering. His research bridges theoretical advances with practical implementations, particularly in 3D reconstruction, human-robot interaction, and assistive technologies. He has developed novel approaches for multi-view stereopsis, point cloud processing, and semi-automatic annotation tools that have advanced computer vision applications. His publication portfolio reveals a strong focus on solving core computer vision challenges while expanding into interdisciplinary applications. Recent work shows increasing emphasis on accessibility technologies, educational AI applications, and real-world deployment of vision systems. The trajectory demonstrates evolution from foundational geometric computer vision toward more applied, human-centered systems with societal impact. As an educator, Professor Reza has mentored numerous undergraduate and graduate students through research projects, many of whom have won awards at regional computing conferences. His teaching spans introductory programming to advanced machine learning and computer vision topics, with a documented course schedule showing consistent offerings of CS 167 (Machine Learning) and CS 195 (Computer Vision). He directs the Computer Vision and Robotics Research Group at Drake, which maintains active collaborations across disciplines and has produced significant student research output. The lab environment emphasizes both theoretical understanding and practical implementation skills, preparing students for advanced research and industry positions in computer vision fields.

Jan Fabian Ehmkeمشاهده پروفایل

استاد

• Business Analytics
• Logistics
• Transportation
• +۵ مورد دیگر

Jan Fabian Ehmke is a Professor at the University of Vienna , Faculty of Business, Economics and Statistics, and Head of the Department of Business Decisions and Analytics. He actively supervises Master's theses in quantitative fields like business analytics, logistics, production, and transportation, requiring mathematical modeling and data analysis skills. Key Research Areas: Business Analytics, Logistics, Transportation, Supply Chain Management, Data Science, and Stochastic Optimization Current Projects: AI-based Energy-Efficient Train Planning, Proactive Route Planning for Pandemic Testing, Reliable Railway Scheduling Recent Publications focus on pandemic logistics, mobile parcel lockers, railway operations, and collaborative transportation systems. His work contributes to SDGs like Sustainable Cities and Responsible Consumption. 2025: 7 publications including pandemic waste supply chain optimization, equitable disease testing models 2024: 4 key papers on dynamic learning for itineraries, bike-sharing systems Awards: Transportation Science Meritorious Service Awards (2021, 2023), EJOR Best Review Paper (2021). He serves as President and Communications Chair in INFORMS Transportation Science Society.

Myo Thidaمشاهده پروفایل

استادیار

• Computer Vision
• Data Science
• Machine Learning
• +۵ مورد دیگر

Myo Thida is an Assistant Professor of Computer Science at Bard College at Simon’s Rock, USA. She holds a PhD in Computer Vision from Kingston University, UK, and degrees in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Her research focuses on computer vision, data science, and machine learning, particularly in video and image analytics, abnormality detection, and social impact-driven projects. She has contributed to institutions like Chiang Mai University (Thailand), A*STAR (Singapore), and co-founded a data analysis service company. Myo is an advocate for STEM education equity, leading initiatives like Women in AI Myanmar Chapter and receiving accolades such as the ASEAN Science Diplomat Award (2021) and recognition for leadership in the Asia Pacific (2023). Education: PhD in Computer Vision, Kingston University, UK (2008–2013) MEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore (2005–2008) BEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore (2005–2008) Research Interests: Myo’s work bridges technical innovation with societal challenges, emphasizing video analytics for surveillance, data-driven policy-making, and educational reform. Her projects include developing AI tools for social good, such as digital disparity analysis in Myanmar and gender equality initiatives in STEM. She collaborates globally, having taught in Singapore, Myanmar, Bhutan, Thailand, and the USA since 2004. Recent Research Trends: Her publications span AI-driven solutions for digital inequality, gender equity, and interdisciplinary education frameworks. She combines computer vision techniques (e.g., abnormality detection in crowds) with policy analysis, showcasing cross-disciplinary impact. Recent work highlights AI’s role in addressing global challenges like workforce skill gaps and sustainable digitalization. Awards & Recognition: ASEAN Science Diplomat Award (2021) US ASEAN Science & Technology Fellowship (2019) Leading Light for Kindness and Leadership (Asia Pacific, 2023) Grants & Advising: As a US-ASEAN fellow, she developed Myanmar’s science policy framework. She advises on education reform and leads the Women in AI initiative. Her consulting work includes projects on curriculum design (e.g., Chiang Mai University’s CMU-CDIO syllabus) and corporate data strategies. Labs & Collaborations: Engages in interdisciplinary projects at Simon’s Rock, focusing on AI ethics and community outreach. Her work often involves partnerships with NGOs and policymakers to translate technical research into actionable social solutions.

Sarah Greenمشاهده پروفایل

استاد

• Materials Engineering
• Sustainable Materials
• Materials Failure
• +۲ مورد دیگر

Sarah Green is Professor of Materials Engineering and Head of the Mechanical and Construction Engineering Department at Northumbria University. She holds a B.S. in Ceramics and Glasses from the University of Sheffield, Ph.D. in Materials Engineering from the University of Nottingham, and postgraduate teaching qualification from Durham University. Her research focuses on sustainable materials use, materials failure analysis, and development of novel composites from recycled materials. With extensive leadership experience, Professor Green previously held positions at Durham University, University of Cumbria, and Lancaster University where she served as inaugural Head of the School of Engineering. She is a Chartered Engineer, Chartered Environmentalist, and Fellow of the Institute of Materials, Minerals and Mining (IOM3), serving on their Academic and Professional Formation Committee. Her research portfolio includes sustainable material development using waste streams, failure analysis of engineering components, and applications of recycled composites in construction. Recent projects span nuclear materials characterization, wind data collection using UAV platforms, and cyber-physical system security. She has supervised over 60 Masters and PhD projects with funding from UKRI, EPSRC, ERDF, and industry partners including Ceres Power, Biomet, and Morgan Matroc.