جست‌وجوی استاد و پژوهشگر

• Nutritional Cancer Epidemiology
• Chronic Disease Epidemiology
• Cancer Survivorship
• +۱۴ مورد دیگر

Leah M. Ferrucci, PhD, MPH, is an Assistant Professor in the Department of Chronic Disease Epidemiology at the Yale School of Public Health. She holds a PhD in nutritional cancer epidemiology from Yale University and an MPH in Social and Behavioral Sciences from the same institution, with a BA from the University of Pennsylvania. Her research focuses on modifiable cancer risk factors, including nutrition, ultraviolet radiation exposure, and lifestyle interventions for cancer survivors. PhD, Yale University (2009) MPH, Yale School of Public Health (2006) BA, University of Pennsylvania Dr. Ferrucci's research interests span nutritional cancer epidemiology, obesity, metabolomics, microbiome, and behavioral interventions in cancer survivorship. She investigates diet quality, energy balance, and lifestyle modifications in breast and ovarian cancer survivors, with a strong emphasis on translating findings into practical interventions. Her work also addresses indoor tanning behaviors and UV exposure in skin cancer prevention. Her recent publications highlight a consistent focus on lifestyle interventions during and after cancer treatment, particularly in breast and ovarian cancers. Themes include weight management, dietary patterns, physical activity, chemotherapy outcomes, and health disparities. Her studies often employ clinical trials, longitudinal analyses, and mixed-methods approaches, contributing to evidence-based oncology care. Loan Repayment Program, National Cancer Institute (2013) Outstanding Student Paper Prize, American College of Epidemiology (2009) Best Poster Award, American Society of Preventive Oncology (2014) Dr. Ferrucci collaborates extensively with leading researchers such as Melinda Irwin, Tara Sanft, and Brenda Cartmel on large-scale trials like LEAN and ENICTO. These projects evaluate the impact of diet and exercise on cancer treatment completion, pathologic response, and quality of life. She is also involved in research on structural racism and health disparities in obesity-related cancers among minority populations. While no formal lab is mentioned, her work is embedded within the Yale Cancer Center and Smilow Cancer Hospital research ecosystem.

Daniel Chicksandمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Operations Strategy
• +۹ مورد دیگر

Professor Daniel Chicksand is a faculty member in the Department of Management at Birmingham Business School, University of Birmingham , where he holds the rank of Professor of Operations and Supply Management . He also serves as the Director of the Distance Learning MBA programme. Daniel has held academic positions at Warwick Business School and Aston Business School prior to joining Birmingham in 2016 as a Reader, being promoted to full Professor in 2021. Education: PhD in Commerce, University of Birmingham (2009) MBA in Business Strategy & Procurement, University of Birmingham (2003) MSc in Industrial Logistics, University of Central England (1996) BSc in Industrial Information Technology (2:1 hons), University of Central England (1995) Postgraduate Certificate in Academic and Professional Practice, University of Warwick (2011–2013) Daniel’s research is centered on Operations and Supply Chain Management , with a strong theoretical foundation in Resource Dependency Theory (RDT) . His work explores power dynamics , value appropriation , and relationship management in buyer-supplier interactions across sectors such as food, construction, and sustainable supply chains. He has a growing interest in servitization and its impact on value creation. His methodological approach is primarily qualitative, using case-based research. The recent publications reflect a consistent focus on power and negotiation in procurement , resilience and disruption in supply chains (including simulation modeling), and sustainability reporting . His research spans both private and public sectors and often involves international collaboration with institutions in the UK, Europe, and the US. Scientific Engagement and Awards: Visiting Lecturer at Audencia Nantes School of Management (France) Visiting Lecturer at Ecole des Ponts ParisTech and Solvay Business School (France/Belgium) Educator for Duke Corporate Education Collaborator with leading researchers from Aston, Cardiff, Cranfield, Loughborough, Linkoping, and Fox Business School Daniel supervises multiple doctoral students and is involved in pilot research projects funded by the British Academy and the Chartered Institute of Logistics and Supply. He also leads two consultancy firms— DDC Solutions Ltd and Opsworks Ltd —delivering bespoke training and education programmes to corporate clients like UBS, KPMG, and Adams Foods. His prior experience as a business owner in African arts and crafts importation provides practical insights into supply chain and operations management, enriching his teaching and research. Laboratories and Research Teams: Member of the Aston Centre for Seritization Research and Practice (2015–present) Collaborative research network across UK, European, and US universities Lead on projects involving discrete-event simulation and gamification in SCM

Funlade Sunmolaمشاهده پروفایل

مدرس ارشد

• Applied Artificial Intelligence
• Sustainable and Smart Industries
• Manufacturing Engineering
• +۵ مورد دیگر

Funlade Sunmola is a Principal Lecturer in Manufacturing and Industrial Engineering at the University of Hertfordshire , affiliated with the School of Engineering and Computer Science and the Department of Engineering and Technology. He holds a PhD in Computer Science (Artificial Intelligence and Robotics) from the University of Birmingham and has nearly 40 years of professional experience across civil engineering, manufacturing, healthcare, and academia. Education: BEng (Hons) in Civil Engineering, Ahmadu Bello University MSc in Industrial Engineering, University of Ibadan MA in Accounting and Finance, Birmingham City University MPhil in Manufacturing Engineering, University of Birmingham PhD in Computer Science, University of Birmingham Research Interests: Focuses on Applied Artificial Intelligence , Sustainable and Smart Industries , and Industry 4.0 . Key areas include supply chain visibility, blockchain integration, machine learning applications in manufacturing, and virtual engineering. Leads the Duncan Calder Virtual Engineering Lab and oversees MSc Online Engineering Programmes. Grants & Projects: PI of LINK: Digital Direct Connection for Salvage Construction Materials (Circular Economy) PI of N-BICC: Cassava Innovation Deployment Co-I in Solar Cool System (So-Cool) for Smallholder Farmers Labs/Teams: Heads the Duncan Calder Virtual Engineering Lab , focusing on immersive technologies and virtual product design.

• Power Electronics
• Electrical Machines and Energy Conversion
• Energy Storage Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Murat Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electrical Engineering. His academic career spans over 15 years at Istanbul Technical University, including roles as Deputy Head of Department (2015-2020) and Vice Dean (2020-present). PhD in Electrical Engineering from Istanbul Technical University (1999-2006) Postdoctoral Researcher at University of Illinois at Urbana-Champaign (2007, 2011) His research focuses on: Power Electronics - advanced converter designs and semiconductor applications Electrical Machines - optimization of permanent magnet and reluctance motors Energy Storage Systems - battery efficiency and electrification infrastructure Electric Vehicles - cost-effective BRT systems and sensorless control methods Recent publications highlight his work on IPMSM optimization for light EVs (2025), battery chemistry performance analysis (2025), and PMaSynRM parameter estimation (2024). His research outputs demonstrate strong focus on sustainable energy solutions and motor control systems. Notable awards: 2022 IEEE PEMC Best Paper Award 2022 European Rover Challenge - 3rd Place & Best Robot Arm 2009 WORLD SOLAR CHALLENGE Best New Entrant Multiple TÜBİTAK Formula G awards (2006-2008) IEEE Senior Member (since 2020) Prof. Yılmaz leads multiple funded projects including: 2022-2023: Modeling & Design of Rover Systems for Space Exploration 2020-2021: Flexible SPA Web Applications Consultancy 2018-2021: Battery Charging Systems for Electric Vehicles

• Quality Management
• Organizational Culture
• Agility
• +۶ مورد دیگر

André M. Carvalho is an Assistant Professor of Quality Engineering and Management at the NOVA School of Science and Technology, NOVA University Lisbon, Portugal. He holds a PhD (2020) in Engineering Design and Advanced Manufacturing from the University of Minho/MIT Portugal Program. His career includes postdoctoral research at the Technical University of Denmark (2020) and visiting roles at MIT (2018–2020) and Northeastern University (2019). His research focuses on sociotechnical systems, quality management, organizational culture, agility, and sustainability. He explores how organizations adapt to global challenges through methodologies like Lean Six Sigma and Industry 4.0 frameworks. Education: PhD in Engineering Design and Advanced Manufacturing (2020) – University of Minho/MIT Portugal Program Research Interests: Carvalho’s work bridges quality management with organizational agility, emphasizing digital transformation, Industry 4.0/5.0, and sustainable practices. He investigates frameworks for operational excellence, such as the Quality 4.0 Roadmap and the QOE-SME model for small/medium enterprises. His studies address challenges like supply chain quality, data-driven decision-making, and organizational culture’s role in innovation. Article Trends: His recent publications (2022–2025) highlight themes like Lean Six Sigma applications in healthcare, AI-driven quality forecasting, and Industry 4.0 integration. He also explores ESG factors in performance optimization and the evolving profile of quality leaders in the digital era. Awards and Recognition: Acknowledged by the Industrial Engineering and Operations Management (IEOM) Society, International Academy for Quality (IAQ), and American Society for Quality (ASQ) for research contributions. Grants and Advising: While specific grants are not detailed, his postdoctoral and visiting roles suggest institutional support. Advising focuses on doctoral/master’s students (not listed explicitly in the text).

Karim Ahmedمشاهده پروفایل

مدرس ارشد

• Project Management
• Sustainability
• Supply Chain Management
• +۲ مورد دیگر

Karim Ahmed is a Principal Lecturer at the Nottingham Trent University within the Nottingham Business School , affiliated with the Department of Strategy, Analytics and Operations . His expertise includes Project Management , Sustainability , and Supply Chain Management , with a focus on practical applications in VUCA conditions and sustainable operations. Dr. Ahmed is a certified Prince2 and Agile PM Practitioner with over a decade of experience in teaching and industry. He leads the MSc Project Management program, emphasizing stakeholder alignment, efficient execution, and innovation in managing complex projects. His research explores the intersection of sustainability, supply chain resilience, and strategic decision-making, particularly in multinational contexts. Recent publications highlight his work on fuzzy logic in sustainability assessment, gamification in education, and multi-criteria decision models for supply chain optimization. Collaborations span institutions like Loughborough and Sheffield, with fieldwork in Egypt, Iraq, and the UK.

• Process Management
• Business Process Optimization
• Agile Methodologies
• +۳ مورد دیگر

Professor Matthias Lederer serves as a faculty member at the Weiden Business School of Ostbayerische Technical University Amberg-Weiden, specializing in Business Informatics with a focus on Process Management. His academic position is complemented by extensive industry experience across multiple sectors including IT services, manufacturing, and consulting. Dr. Lederer's research spans four interconnected domains: process analysis and optimization, IT process management, agile process transformation, and didactics for process digitization. His work bridges theoretical frameworks with practical applications, particularly in business process management (BPM), digital transformation, and the integration of agile methodologies into organizational structures. His research demonstrates a clear trajectory toward increasingly sophisticated applications of data science and artificial intelligence in process optimization. Analysis of his recent publications reveals a strong focus on practical implementations of business process management, with particular emphasis on agile transformations, data-driven process design, and the application of AI in business contexts. His work consistently addresses the intersection of academic research and industry practice, with publications appearing in both academic journals and professional conference proceedings. The research demonstrates growing attention to digital platforms, smart manufacturing applications, and sustainable business practices. His scientific recognition includes: Best Program Director award from ISM International School of Management Project Award 'Innovative LernOrte' from OTH Award for Good Teaching from the Bavarian State Ministry Best Paper Award at the 2014 International Conference on Information Systems Multiple professional certifications including Lean Six Sigma Black Belt and OMG-Certified Expert in Business Process Management Professor Lederer has developed significant academic leadership through his role as Chairman of the Institute of Innovative Process Management. His teaching approach integrates practice-integrated methodologies, reflecting his belief in connecting academic concepts with real-world applications. His extensive consulting background with organizations like REHAU AG + Co. and the Bavarian Ministry of Justice informs his academic work and student mentorship.

Upali Nandaمشاهده پروفایل

استاد مدعو

• Human Health and Wellbeing
• Sensory Design
• Power of Place
• +۷ مورد دیگر

Dr. Upali Nanda is an Adjunct Professor in the School of Public Health at the University of Michigan and an Associate Professor of Practice at the Taubman School of Architecture and Urban Planning. She holds a PhD in Architecture from Texas A&M University (2005), an MA in Architecture from the National University of Singapore (2001), and a BArch from the School of Planning and Architecture, New Delhi (1999). Currently serving as Director of Research at HKS Inc., a global architectural firm, Dr. Nanda's academic and professional work bridges architecture, healthcare design, and human wellbeing. PhD in Architecture, Texas A&M University (2005) MA in Architecture, National University of Singapore (2001) BArch, School of Planning and Architecture, India (1999) Dr. Nanda's research focuses on the intersection of architecture and health. Her core interests—Human Health and Wellbeing, Sensory Design, and Power of Place—explore how built environments impact mental and physical health. She has pioneered evidence-based approaches to healthcare design, including the concept of 'Sensthetics,' which examines crossmodal sensory experiences in architectural contexts. Her recent publications highlight interdisciplinary applications of design thinking across healthcare, education, and urban environments. Key trends include leveraging sensory design for mental health, optimizing healthcare facilities through data-driven models, and addressing aging populations through adaptive urban planning. These works emphasize the role of architecture in shaping healthier outcomes across diverse populations. Dr. Nanda has received notable recognition for her contributions, including: Top 10 Most Influential People in Healthcare Design (Healthcare Design Magazine, 2015) Women in Architecture Innovator Award (Architectural Record, 2018) In addition to her academic roles, Dr. Nanda contributes to practice-based research at HKS Inc., where she develops tools like the Design Diagnostic and Post-Occupancy Evaluation Toolkit. Her work integrates neuroscience principles (e.g., neuroesthetics) with architectural practice, influencing global standards for patient-centered environments.

Bopaya Bidandaمشاهده پروفایل

استاد

• Manufacturing Systems
• Group Technology
• Reverse Engineering
• +۱۱ مورد دیگر

Bopaya Bidanda serves as the Ernest E. Roth Professor and Chairman of the Department of Industrial Engineering at the University of Pittsburgh, where he has led since joining the faculty in 1987 after completing his PhD at Penn State. His institutional impact includes founding the Manufacturing Assistance Center, Automated Data Collection Laboratory, and Swanson Center for New Product Innovation. His research expertise spans manufacturing systems with concentrated focus on Group Technology, Reverse Engineering, Cellular Manufacturing, Lean Manufacturing, and Human Issues in Manufacturing. This work bridges advanced computational methods with industrial applications to solve real-world production challenges. Publication trends from 2000-2002 reveal strong emphasis on human capital integration in cellular systems, reverse engineering applications in biomedical contexts, and virtual laboratory development for manufacturing education. Key thematic threads connect workforce skills assessment with lean transformation and advanced computing techniques for production optimization. Scientific recognition includes: Fellow of the Institute of Industrial Engineers His grant portfolio demonstrates exceptional funding diversity, securing support from NSF, Department of Commerce, W.M. Keck Foundation, and industry partners like FedEx Ground for initiatives in manufacturing modernization and workforce development. He actively mentors doctoral candidates through flexible international programs and industry-university collaborations. Leadership extends to operational hubs including the Manufacturing Assistance Center which provides direct technical support to regional manufacturers, and the Swanson Center driving product innovation through interdisciplinary industry partnerships.

Prashant Singhمشاهده پروفایل

استادیار

• Heat Transfer Enhancement
• Thermal Fluid Sciences
• Porous Media Heat and Fluid Flow
• +۱۰ مورد دیگر

Prashant Singh is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, where he also serves as the Assistant Director of the Industrial Assessment Center. His research is centered on advanced thermal systems, particularly in heat transfer enhancement, electronics cooling, and gas turbine internal cooling technologies. He holds a Ph.D. in Mechanical Engineering from Virginia Tech, an M.S. from Arizona State University, and a B.Tech. from the National Institute of Technology, Rourkela, India. Research Interests: His work spans Heat Transfer Enhancement , Porous Media Flows , Advanced Electronics Cooling , Thermal Interface Materials , and Thermal Energy Conversion and Storage . He employs both experimental and numerical methods to investigate thermal performance in rotating and stationary environments, with a focus on turbomachinery and compact cooling systems. The recent publications reflect a strong trend in jet impingement cooling , serpentine cooling channels , metal foams , and rotational heat transfer effects . These studies are critical for improving efficiency and reliability in gas turbines and high-power electronics. The keywords across these works include Mechanical Engineering, Thermal Engineering, Fluid Dynamics, and Materials Science, with subfields such as Coriolis force mitigation, micro-roughness, and transient thermography. Scientific Awards: Warren M. Rohsenow Award 2017 (ASME IMECE) YETEP Award 2018 and 2017 (ASME IGTI) IGTI Travel Award 2016 New Horizon Fellowship (2015–16) Darryl E. Metzger Memorial Fellowship (2013–14) Outstanding Reviewer, International Journal of Heat and Mass Transfer Advising and Grants: While specific student names are not listed, his graduate research assistant roles and current faculty position indicate active mentorship of graduate students. He has secured recognition through competitive fellowships and awards, suggesting strong grant-writing ability and research impact. His collaborations with Dr. S.V. Ekkad and others indicate team-based research in high-pressure thermal environments. Labs and Teams: He is affiliated with the Industrial Assessment Center and conducts experimental thermal research involving transient liquid crystal thermography, jet impingement rigs, and rotating heat transfer facilities. His work often involves interdisciplinary teams focused on energy systems, advanced manufacturing, and sustainable thermal management.

Emily Firstمشاهده پروفایل

استادیار

• Artificial Intelligence
• Theorem Proving
• Machine Learning
• +۳ مورد دیگر

Emily First is an incoming Assistant Professor in Computer Science at Rutgers University New Brunswick starting Fall 2025. She previously served as a postdoctoral researcher at UC San Diego under Sorin Lerner and earned her PhD in Computer Science at UMass Amherst under Yuriy Brun in the Laboratory for Software Engineering Research (LASER). Her research focuses on leveraging AI for theorem proving, working at the intersection of machine learning, software engineering, and programming languages. She specializes in creating tools for automated proof generation in proof assistants like Coq, Isabelle/HOL, and Lean. Her work explores how AI can enhance human reasoning across domains, with applications in software verification and formal logic systems. Recent publications show trends in neuro-symbolic AI, software verification, and LLM integration for formal methods. Her team's research has been recognized with ACM SIGSOFT Distinguished Paper Awards at ICSE, ACL, and ESEC/FSE conferences, along with workshop presentations at AI and Theorem Proving conferences. ACM SIGSOFT Distinguished Paper Award (ICSE 2025) ACM SIGSOFT Distinguished Paper Award (ACL Main 2024) ACM SIGSOFT Distinguished Paper Award (ESEC/FSE 2023) ACM SIGSOFT Distinguished Paper Award (ICSE 2022) Contact: emfirst@ucsd.edu (new email coming soon).

Ericka L. Kalpمشاهده پروفایل

دانشیار بالینی

• Infectious Disease Epidemiology
• Infection Prevention and Control
• Healthcare-associated Infections
• +۵ مورد دیگر

Ericka L. Kalp, PhD, MPH, CIC, FAPIC, is an Associate Clinical Professor in the Department of Environmental and Occupational Health at Drexel University’s Dornsife School of Public Health. She also serves as Co-Director of Dornsife’s Infection Prevention and Control Academic Programs and Director of Infection Prevention and Control at ECRI. Her career spans over 20 years in epidemiology and infection prevention across acute care, long-term care, and ambulatory settings. Affiliations: Drexel University, ECRI, Pennsylvania Department of Health Roles: Academic Program Co-Director, Clinical Director, Adjunct Faculty Education: PhD in Epidemiology, Walden University MPH in Epidemiology, Drexel University BS in Biobehavioral Health, Pennsylvania State University Research Interests: Focuses on infectious disease epidemiology, healthcare-associated infections, outbreak investigations, and infection prevention strategies. Specializes in applying epidemiological methods to improve patient safety and reduce healthcare-acquired pathogens. Publications: Over 15 peer-reviewed articles and book chapters, with recent work addressing antibiotic resistance patterns, infection prevention certification trends, and pandemic response strategies (e.g., APIC Text on COVID-19). Awards: Fellow of APIC, CIC certification since 2007, Lean/Six Sigma Green Belt (2021) Advising & Grants: Active in professional committees (APIC Research Committee) and board roles. Leads initiatives in competency modeling for infection preventionists. No formal student advisees listed in current records. Labs/Teams: Collaborates with ECRI’s Infection Prevention teams and Dornsife’s public health programs to advance practical solutions for healthcare safety challenges.

Sourav Senguptaمشاهده پروفایل

استادیار

• Supply Chain Planning
• Industry 4.0 Technologies
• Lean Management
• +۷ مورد دیگر

Dr. Sourav Sengupta is an Assistant Professor (Lecturer) in Operations Management at Queen Mary University of London's Department of Business Analytics and Applied Economics, part of the School of Business and Management. He is a member of the Centre for Globalisation Research (CGR). Prior to this role, he was a postdoctoral fellow at the Norwegian University of Science and Technology. His academic credentials include a dual Ph.D. in Operations Management from the Indian Institute of Technology Bombay and Monash University, an M.Tech. in Industrial Engineering & Management, and a B.Tech. in Information Technology. His research focuses on the intersection of supply chain planning, Industry 4.0 technologies, and lean principles, with special attention to digital supply chain twins and sustainability. He teaches courses such as BUS366 (Business Simulations) and BUS367 (Global Supply Chain Analytics). His work has been published in journals like the International Journal of Operations & Production Management, Computers in Industry, and International Journal of Production Research. Dr. Sengupta seeks doctoral candidates interested in adaptable/sustainable supply chain planning, service triads, lean-digital paradoxes, healthcare operations, and digital supply chain twins. He actively contributes to academic discourse through empirical and qualitative research methodologies.

Jake Levinsonمشاهده پروفایل

استادیار

• Algebraic Geometry
• Algebraic Combinatorics
• Moduli Spaces
• +۵ مورد دیگر

Jake Levinson is an Assistant Professor in the Department of Mathematics and Statistics at Université de Montréal. His research focuses on algebraic geometry and algebraic combinatorics, with particular interests in moduli spaces, Schubert calculus, toric varieties, and equivariant free resolutions. He previously held positions at Simon Fraser University (2020–2023), the University of Washington (2017–2020), and completed a postdoctoral fellowship at LaCIM (UQAM). His Ph.D. from the University of Michigan (2017) was advised by David Speyer. Research Interests: - Algebraic Geometry: Moduli spaces, Schubert calculus, toric varieties, homological algebra. - Algebraic Combinatorics: Crystal graphs, Young tableaux, representation theory, combinatorial aspects of algebraic geometry. - Recent work includes studies on Schubert curves, Springer fibers, and applications of algebraic methods to problems in combinatorics and theoretical computer science. Teaching: - Taught MAT 6620 (Algebraic Geometry: Schemes) at Université de Montréal (Winter 2024). - Previously taught courses on intersection theory, representation theory, and Lean formal proof systems. Key Contributions: - Developed combinatorial models for Schubert curves using crystals and tableaux. - Contributed to Boij-Söderberg theory for Grassmannians and studies of class groups in algebraic geometry. - Collaborated on projects linking algebraic geometry to neural networks and random matrix theory.

Albert E. Pattersonمشاهده پروفایل

استادیار

• Mechanical Design and Design Methods
• Experimental Fracture and Impact Mechanics
• Additive Manufacturing Processes
• +۳ مورد دیگر

Albert E. Patterson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. He is also affiliated with Materials Science & Engineering, Mechanical Engineering, and Multidisciplinary Engineering. His research focuses on mechanical design methods, additive manufacturing processes, and fracture mechanics. He holds a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign (2021), an M.S. in Industrial Engineering (2014), and a B.S. in Mechanical Engineering (2013), both from the University of Alabama in Huntsville. Key research areas include design under manufacturability constraints, additive manufacturing (e.g., FDM/FFF, SLS, SLM), and systems engineering for manufacturing and aerospace applications. His work emphasizes optimizing material properties, process-driven constraints, and sustainable manufacturing practices. Dr. Patterson leads the Manufacturability-Driven Design Lab (MDDL), exploring topics like additive manufacturing for energetic materials, repair strategies for plastic components, and energy-efficient production systems. He has contributed to over 60 publications on fracture mechanics, material characterization, and manufacturing systems optimization. His research integrates experimental methods with computational modeling to address challenges in design, manufacturability, and sustainability.