جست‌وجوی استاد و پژوهشگر

Sarah Bonzoمشاهده پروفایل

دانشیار

• Operations Management
• Lean Methodology
• Process Improvement
• +۵ مورد دیگر

Sarah Bonzo is an Associate Professor in the School of Business at SUNY Oswego , specializing in Health Services Administration . She teaches graduate courses in Health Systems and Operations Management , while serving as the Coordinator of the Healthcare Administration MBA program. Education BS/MS in Industrial and Operations Engineering, Rochester Institute of Technology PhD in Industrial and Operations Engineering, University of Michigan (NSF Graduate Research Fellowship recipient) Dr. Bonzo's research focuses on agile operations , quality improvement , and strengths-based leadership in healthcare. She applies network analysis and design structure matrices to examine technical complexity, while exploring personnel development , mindfulness , and pattern-based learning in sociotechnical systems. Her scientific awards include: Open SUNY Ambassador (2015) NSF Graduate Research Fellowship (2007-2010) Dr. Bonzo combines academic work with practical application as CEO and Co-Founder of TagTeams , a surgical team coordination platform. She consults on lean thinking , experimentation , and patient flow optimization with clients like Montefiore Health System and Rauland-Borg.

• Big Data
• Machine Learning
• Distributed Systems
• +۶ مورد دیگر

Sonia Ikken Benali is a Researcher-Lecturer at CESI (Lille, France), affiliated with the Engineering and Numerical Tools research team. Her work focuses on Big Data, Machine Learning, Distributed Systems, Business Intelligence, and Optimization Problems. She teaches courses in Data Storage/Processing, Business Intelligence, and Operations Research at the Integrated Preparatory Program and Engineering Program levels. Education : Ph.D. in Efficient Placement Design for Big Data in Clouds (Télécom SudParis - Institut Mines-Télécom - Pierre and Marie Curie University, 2018) M.Sc. in Networks and Distributed Systems (Abderrahmane Mira University, Algeria, 2011) State Engineer in Advanced Information Systems (Abderrahmane Mira University, 2010) Her research emphasizes optimizing cloud storage efficiency, cost reduction in distributed systems, and scheduling algorithms for big data workflows. Key contributions include collaborative cloud storage frameworks and Markov model-based I/O scheduling for MapReduce tasks. Lab/Team : Part of the Engineering and Numerical Tools research group at CESI, focusing on practical applications of advanced computational methods.

Afrooz Moatari-Kazerouniمشاهده پروفایل

استادیار

• Supply Chain Management
• Operations Management
• Process Improvement
• +۶ مورد دیگر

Afrooz Moatari-Kazerouni is an Assistant Professor of Operations Management at Widener University’s School of Business Administration. She holds an MSc in Production Management from the Technical University of Denmark and a PhD in Industrial Engineering from École Polytechnique de Montréal. She completed post-doctorate fellowships at McGill University and Université du Québec à Montréal. Previously, she served as faculty at the Dhillon School of Business (University of Lethbridge, Canada) and as a Visiting Assistant Professor at Adelphi University’s Robert B. Willumstad School of Business. Education: Post-doctorate, Manufacturing Engineering – McGill University Post-doctorate, Management and Technology – Université du Québec à Montréal PhD, Industrial Engineering – École Polytechnique de Montréal MSc, Manufacturing Engineering, Production Management – Technical University of Denmark Research Focus: Her work centers on operational efficiency, supply chain resilience, and technology integration in healthcare and manufacturing sectors. Key areas include RFID and blockchain applications for traceability, process redesign in healthcare settings, supply chain transparency, and inventory management for short-lifecycle products. She collaborates with organizations such as Ciena, Jewish General Hospital, and aerospace companies like Pratt & Whitney Canada and Rolls-Royce. Publications Trends: Her recent work emphasizes blockchain’s role in clinical trials and healthcare supply chains (2024), supply chain resilience strategies (2025), and RFID-based solutions for emergency response and surgical logistics (2021–2017). Earlier research includes safety integration in facility design (2015–2012) and new product development metrics in aerospace (2014). Consulting & Experience: She has advised on healthcare process optimization at institutions like McGill University Health Center and University of Iowa Hospital, and collaborated with Ciena on telecommunication supply chain analysis. Her work bridges academic research with industry applications, particularly in leveraging technology for operational excellence.

• Industrial Engineering
• Operations Research
• Manufacturing Systems
• +۵ مورد دیگر

Sanchoy Das is a Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). His research focuses on manufacturing systems, supply chain engineering, warehouse optimization, and design for manufacturability. He has led federal grants including projects on flexible manufacturing methodologies and product design quality. His work integrates industrial engineering principles with emerging technologies like machine learning for metabolic rate prediction in firefighting scenarios. Key research areas include e-commerce fulfillment strategies, warehouse layout optimization, and explosive storage policies. He has published extensively on topics such as order picking heuristics, robotic task repeatability, and healthcare resource allocation. Das has collaborated on projects funded by the National Science Foundation, addressing challenges in traditional factory processes and product disassembly. Media engagements highlight his expertise in retail logistics, port strike impacts, and supply chain analytics. His academic contributions span over 66 peer-reviewed articles, with a focus on operational efficiency in manufacturing and service systems. Das teaches advanced courses including Design for Manufacturability and Supply Chain Engineering at NJIT.

Shahed Badiyanمشاهده پروفایل

دانشیار

• Radiation Oncology
• Proton Therapy
• Adaptive Radiotherapy
• +۵ مورد دیگر

Shahed Badiyan, M.D., is an Associate Professor of Radiation Oncology and Clinical Director of Adaptive Therapy at UT Southwestern Medical Center. He joined as faculty in 2023 after completing a medical degree from UT Southwestern Medical School (Alpha Omega Alpha honors), residency at Washington University School of Medicine, and a clinical fellowship at the Paul Scherrer Institute. His research focuses on advanced radiotherapy techniques, including proton therapy, adaptive radiation, and immunotherapy combinations. He has led multiple clinical trials and received the 2014 Roentgen Resident/Fellow Research Award. His work emphasizes minimizing radiation-induced cardiotoxicity and improving treatment efficacy through precision approaches. Dr. Badiyan actively contributes to professional organizations like ASTRO and serves on review boards for radiation oncology conferences. Education: Medical Degree: UT Southwestern Medical School (Alpha Omega Alpha honors) Radiation Oncology Residency: Washington University School of Medicine Clinical Fellowship: Paul Scherrer Institute – Swiss Federal Institute of Technology’s Center for Proton Therapy Research Interests: Dr. Badiyan's work spans cutting-edge radiotherapy modalities, including proton beam therapy, adaptive radiation therapy, and stereotactic body radiotherapy (SBRT). He explores strategies to enhance treatment outcomes while reducing side effects, particularly in pancreatic, lung, and rectal cancers. His research integrates biomarkers (e.g., ctDNA), imaging innovations, and interdisciplinary approaches to personalize therapy. Key areas include: Optimization of radiation schedules and fractionation Combination therapies linking immunotherapy and radiation Minimizing cardiovascular and gastrointestinal toxicities Development of adaptive workflows for real-time treatment adjustments Grants & Awards: Roentgen Resident/Fellow Research Award (2014) Principal Investigator for NIH/R01 grants on advanced radiotherapy techniques Labs/Teams: He leads initiatives in adaptive therapy and proton therapy at UT Southwestern, collaborating on multi-institutional trials through organizations like NRG Oncology and PTCOG-NA. His lab focuses on translating bench findings into clinical practice through innovative trial designs and technology integration.

Mona Arbabمشاهده پروفایل

استادیار

• Radiation Oncology
• Translational Research
• Adaptive Radiotherapy
• +۴ مورد دیگر

Mona Arbab, MD, M.Ed., is an Assistant Professor of Radiation Oncology at the University of Texas Southwestern Medical Center. She earned her medical degree from Tehran University of Medical Sciences and a master’s in adult education from Indiana University. Her clinical expertise includes treating breast cancer patients using advanced techniques such as adaptive radiotherapy on the Ethos platform, GammaPod, and FAST-Forward regimens. As co-director of the Department’s Adaptive Training Course, she focuses on advancing radiation oncology education and training. Her research emphasizes translational research, reducing treatment toxicities, patient-reported outcomes, and medical education. Key contributions include optimizing radiation dosimetry, adaptive therapy workflows, and integrating radiation oncology into undergraduate curricula. She has been recognized with the Ruth L. Kirschstein NRSA T32 grant and honored as a top reviewer for the Red Journal (2020). Dr. Arbab’s work spans 42+ peer-reviewed publications, covering topics like spatial displacement modeling, radiation-induced toxicity, and oncology curriculum design. She actively contributes as a reviewer for journals like Advances in Radiation Oncology and International Journal of Radiation Oncology. Her clinical leadership includes roles as Chief Resident (2021) and co-developer of adaptive radiation training programs. Education: MD (Tehran University of Medical Sciences), M.Ed. (Indiana University) Grants: Ruth L. Kirschstein NRSA T32 Fellowship Professional Roles: Co-Director, Adaptive Training Course; Member, American College of Radiation Oncology Labs/Teams: Collaborates with multidisciplinary teams on adaptive radiotherapy and hypofractionation protocols

• Sociology of Work
• Public Policy Analysis
• Organizational Behavior
• +۳ مورد دیگر

Hélène Desfontaines is a Lecturer in Sociology at the Université Catholique de l'Ouest (UCO) in Angers, affiliated with the Faculty of Human and Social Sciences. She leads the Master's program in Sociology, Societies in Transition and Solidarity, and is associated with the CENS/UMR6025 research center (University of Nantes) and the University Institute of the Sea and Coast (IUML). She holds a PhD in Sociology from the University of Paris X-Nanterre (2002). Her research focuses on work dynamics, professional groups, and the greening of public policies, with emphasis on long-distance truck drivers, artisanal fishermen, and territorial managers. Key themes include organizational rationalization, work temporalities, and the sociological analysis of maritime controversies. She has organized international conferences like OCEANEXT 2024 and contributed to policy-relevant studies on social assistance and labor regulations. Recent publications include analyses of maritime governance, professional recruitment in private schools, and the sociology of social policy decision-making. She has participated in interdisciplinary projects on marine socio-ecosystems and has been an invited speaker on radio (France Culture) and academic panels. Her work bridges academic research and practical applications, with a focus on understanding how institutional frameworks and professional practices shape labor environments across sectors like transportation, fisheries, and social services.

Abdussalam Shibaniمشاهده پروفایل

استادیار

• Construction Productivity and Performance
• Supply Chain Management
• Total Quality Management (TQM)
• +۹ مورد دیگر

Dr. Abdussalam Shibani is an Assistant Professor at the CEES School of The Environment, specializing in construction management and quality systems. He holds a PhD in Total Quality Management (TQM) in the Libyan construction industry and completed postdoctoral research at Coventry University. His research focuses on TQM implementation, supply chain management, project performance, and sustainable construction practices. He currently supervises three PhD students exploring supply chain and management training topics. Shibani's academic qualifications include a Senior Fellowship from the Higher Education Academy (SFHEA) and a Postgraduate Certificate in Higher Education. He has held external roles as a PhD supervisor at the University of Reading and Wolverhampton, and as an examiner at Bournemouth and Birmingham Universities. His research interests span benchmarking, just-in-time systems, six sigma, BIM implementation, and women's roles in construction. Notable awards include recognition for his contributions to BIM and construction education. Shibani has collaborated internationally on projects addressing waste management, modular construction, and risk mitigation strategies in the UK and Middle Eastern contexts. Research Highlights: Over 50 publications since 2010, focusing on TQM, BIM, and construction sustainability External Activities: 74 professional engagements including peer reviews, conference participation, and industry consultations

Maciej Malawskiمشاهده پروفایل

دانشیار

• Parallel and Distributed Computing
• Cloud Computing
• Data Science
• +۵ مورد دیگر

Maciej Malawski is an Associate Professor at the Department of Computer Science, AGH University of Science and Technology, and Research Team Leader at the Sano Centre for Computational Medicine in Kraków, Poland. He holds a PhD in Computer Science (2009) and MSc degrees in Computer Science (2001) and Physics (2004). His research focuses on parallel/distributed computing, cloud technologies, and biomedical applications, with contributions to federated learning, serverless computing, and scientific workflow optimization. Education: PhD in Computer Science, AGH University (2009) MSc in Physics, Jagiellonian University (2004) MSc in Computer Science, AGH University (2001) Research Interests: Parallel computing, cloud infrastructures, serverless systems, federated learning, biomedical data analysis, and workflow scheduling. His work bridges computational methods with healthcare, such as federated learning for medical imaging and sensitivity analysis in cardiovascular models. Publications & Awards: Over 50 international publications, including top-tier venues like SC, IPDPS, and IEEE Cluster. Recognitions include the 2018 AGH Rector’s Award, Publons Peer Review Award (2018), and 1st place in the Executable Paper Grand Challenge (2011). Labs & Affiliations: Director of Sano, senior researcher at ACC Cyfronet AGH, and collaborator with CERN. Leads projects on HPC/Cloud integration and scientific computing for medicine.

• Reinforcement Learning
• Electric Vehicle Technology
• Optimization Algorithms
• +۴ مورد دیگر

Arnob Ghosh is an Assistant Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on reinforcement learning, optimization algorithms, and their applications in smart grid systems, electric vehicle infrastructure, and spectrum management. He has contributed significantly to areas such as multi-agent decision-making under constraints, dynamic resource allocation, and AI-driven hardware design. With an h-index of 9 and over 88 publications, his work bridges theoretical advancements with practical implementations in transportation, energy systems, and telecommunications. Research interests include developing efficient algorithms for constrained Markov decision processes, designing intelligent charging solutions for electric vehicles, and optimizing spectrum access in heterogeneous networks. His recent work explores safe reinforcement learning frameworks, dynamic routing of mobile charging stations, and leveraging large language models for AI accelerator design. Selected media engagements include patents filed with JIS College of Engineering on energy systems and contributions to studies on nonlinear science dynamics. His research emphasizes real-world applications, with projects addressing urban traffic control, renewable energy integration, and competitive market modeling in telecommunications. Collaboration networks span academia and industry, with active projects in India and the US focusing on sustainable energy, autonomous systems, and next-generation communication technologies.

• Business Process Management
• Process Mining
• Blockchain Technology
• +۴ مورد دیگر

Mathias Weske is a Professor at the Hasso Plattner Institute in Potsdam, Germany. His research focuses on Business Process Management (BPM), Process Mining, Blockchain-based process execution, and Robotic Process Automation (RPA). He has contributed extensively to advancing methodologies for resource allocation in processes, decision support systems, and integrating blockchain technology into collaborative processes. Key research areas include business process analysis, data-driven case management, and healthcare process optimization. His work spans theoretical frameworks (e.g., BPMN extensions, choreography models) and practical tools (e.g., OpenBPT platform). Recent efforts emphasize RPA complexity metrics, accessibility in process modeling for visually impaired users, and democratizing RPA mining techniques. Publications frequently explore interdisciplinary applications like healthcare process mining and blockchain transaction ordering. His contributions bridge theory and practice, addressing challenges in automation, collaboration, and process intelligence across industries.

Sian Jinمشاهده پروفایل

استادیار

• High-performance computing (HPC)
• Data reduction & lossy compression
• Parallel file system & I/O systems
• +۳ مورد دیگر

Sian Jin is an Assistant Professor in the Department of Computer & Information Sciences at Temple University. He holds a Ph.D. in Computer Engineering from Indiana University (2023) and a B.S. in Physics from Beijing Normal University (2018). His research focuses on high-performance computing (HPC), data reduction, and machine learning optimization, particularly leveraging lossy compression techniques to improve scientific data analytics and management. Key achievements include over 20 top-tier publications (SC, VLDB, EuroSys, etc.), development of frameworks like Foresight and DeepSZ, and recognition via awards such as the SC 2022 Student Grant and DGRP 2022. His work addresses challenges in parallel I/O acceleration, error-bounded compression for scientific simulations, and efficient DNN training through compression. Current research emphasizes in situ task scheduling for HPC applications and neural network-driven super-resolution techniques. He advises on Ph.D. opportunities in HPC, machine learning, and data reduction systems.

Yue Zhangمشاهده پروفایل

دانشیار

• Service and Healthcare Operations
• Supply Chain Design
• Facility Location
• +۴ مورد دیگر

Dr. Yue Zhang is an Associate Professor in Operations Management at the John B. and Lillian E. Neff College of Business and Innovation , University of Toledo . His research focuses on service and healthcare operations management, supply chain design, facility location, and logistics optimization. Education: Ph.D. in Operations Management, Desautels Faculty of Management, McGill University (2009) M.Sc. in Management Science and Engineering, Tsinghua University (2003) B.Sc. in Management Information Systems, Tsinghua University (2001) His work spans healthcare facility network design , patient choice modeling , long-term care capacity planning , and retail network optimization . Publications appear in journals like Operations Research , European Journal of Operational Research , and Health Care Management Science . Recent research includes multi-criteria surgery scheduling , streetlight location optimization , and preventive healthcare network design , emphasizing stochastic modeling , congestion management , and equity in healthcare access . Scientific Awards: Brooks Insurance Research Fellowship (2016-2018) Simonetti Graduate Teaching Award (2015) URAF Summer Research Award (2013) Junior Faculty Research Award (2012) He teaches courses in business statistics , prescriptive analytics , and supply chain management , and has contributed to book chapters on healthcare location models and business analytics.

• Production System Design
• Flexible Manufacturing Systems
• Computer-Aided Design (CAD)
• +۵ مورد دیگر

Magdalena BARBU is a Lecturer at the Department of Engineering and Industrial Management, Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov. Her research focuses on production system design, flexible manufacturing systems, and computer-aided design. She has contributed to advancements in automation, tool management, and 3D printing process optimization. Her work bridges theoretical frameworks with practical applications in manufacturing processes and industrial systems. Key research interests include: Automation of assembly processes and robotics integration 3D printing techniques and process management Tool flow dynamics and manufacturing system perturbations Green manufacturing and eco-friendly lubrication systems Kanban-based inventory and production control methodologies Publications emphasize industrial automation, sustainable manufacturing, and mathematical modeling for technical-economic forecasting. Her work spans journals like RECENT and METALURGIA INTERNATIONAL , with a notable book on manufacturing equipment systems (2020). No scientific awards or grants are explicitly listed in the provided materials. Her advisory role is currently unspecified, though her research themes suggest involvement in industrial collaborations.

Elyse Hartlebenمشاهده پروفایل

استادیار

• Emergency Medicine
• Healthcare Management
• Critical Care
• +۱ مورد دیگر

Elyse Hartleben, MD is an Assistant Professor at the Medical College of Wisconsin (MCW), serving as the Emergency Medicine Physician Lead for Scheduling and Assistant Medical Director at the West Bend Emergency Department. Her roles reflect expertise in clinical operations and emergency care delivery within academic healthcare settings. While specific educational background details are not provided in the text, her current positions imply advanced medical training and specialization in emergency medicine. Research interests are inferred to focus on emergency department workflows, clinical leadership, and healthcare system optimization. No scientific awards or grants are explicitly mentioned in the provided text. Her professional contributions are centered on operational leadership and medical education within the emergency medicine field.