Sukrit Pal | Supply Chain Management | Best Researcher Award

Published on by Global Academic Awards

Dr. Sukrit Pal | Supply Chain Management | Best Researcher Award

Dr. Sukrit Pal, Iowa State University, United States

Dr. Sukrit Pal is an Assistant Professor of Supply Chain Management at the Ivy College of Business, Iowa State University 🇺🇸. He earned his PhD in Business Administration from Michigan State University in 2022 🎓, specializing in operations, healthcare resilience, and econometrics. His research focuses on healthcare innovation, ride-hailing platforms, and public health supply chains 🏥🚕. He has published in leading journals like Journal of Operations Management and Decision Sciences 📚. Dr. Pal has received notable honors including the Best Analytical Paper Award 🏅 and actively contributes to academia through teaching, grants, presentations, and editorial roles

Publication Profile

Google Scholar

🎓 Educational Background

Dr. Sukrit Pal holds a PhD in Business Administration from Michigan State University, USA (2022) 🎓. His dissertation focused on building a resilient healthcare supply chain, exploring hospital systems and vaccine distribution during pandemics 🏥💉. He specialized in Operations and Supply Management with a minor in Machine Learning, Data Science, and Econometrics 🤖📊. He earned his MBA in 2017 from Texas Christian University, USA, majoring in Supply Chain and Operations Management 📦📈. Dr. Pal began his academic journey with a Bachelor’s in Engineering (2010) from West Bengal University of Technology, India, majoring in Computer Science and IT

📚 Research Contributions

Dr. Sukrit Pal’s research explores process innovation in healthcare and platform services, focusing on capacity management, public health emergencies, and health informatics 🏥📊. His interests also include labor allocation, service provider behavior, social network analysis, and performance management 👥⚙️. Currently serving as Assistant Professor of Supply Chain Management at Iowa State University (2022–Present) 🧑‍🏫, Dr. Pal has published extensively. His work appears in Decision Sciences Journal (2025) and Journal of Operations Management (2023, 2024) 📝🏆. Notably, he received the Best Problem-Driven Analytical Research Paper Award at the Decision Sciences Annual Conference in 2022

🏆 Honors and Awards

Dr. Sukrit Pal has been recognized for his outstanding research contributions in the field of supply chain and operations management. He was honored with the Best Problem-Driven Analytical Research Paper Award at the Decision Sciences Annual Conference in 2022 🎓📈. This prestigious award reflects his commitment to addressing real-world challenges through rigorous analytical methodologies and impactful insights. His award-winning research focuses on consignment inventory shrinkage in medical supplies, demonstrating his dedication to advancing healthcare operations and supporting evidence-based decision-making in public health and hospital systems

📚 Teaching Contributions

Dr. Sukrit Pal has demonstrated strong teaching capabilities in supply chain and operations management. At Iowa State University’s Ivy College of Business, he has taught courses like Lean Operations in Healthcare Management (SCM 526X) and Decision Tools for Logistics and Operations Management (SCM 460) with consistent ratings between 3.3 to 3.7 out of 5 ⭐. At Michigan State University, he earned high ratings (up to 4.3/5.0) for Manufacturing Plan and Control (SCM 372) 🏭📈. His teaching interests include manufacturing, procurement, supply chain analytics, decision tools, and quality management, showcasing his dedication to impactful education in business operations

💼 Professional Experience

Dr. Sukrit Pal brings a blend of academic and industry experience to his career in operations and supply chain management. Currently serving as an Assistant Professor at Iowa State University (Aug 2022–Present) 🏫, he previously worked as a Research and Teaching Assistant at Michigan State University (2017–2022) and Texas Christian University (2016–2017) 📘. He gained industry exposure as an Operations Manager Intern at Think Finance LLC (2016) and held pivotal roles at Tata Consultancy Services (TCS) as Manager of Information Security and Project Management, and Consultant for Enterprise Applications (2013–2015)

🔬 Research Focus

Dr. Sukrit Pal’s research revolves around healthcare operations, supply chain resilience, and public health emergency management 🏥🔗. His work explores manufacturing strategy alignment, process integration, and the impact of information sharing during crises like pandemics 🌐💉. Additionally, he investigates open-source collaboration, team dynamics, and inventory shrinkage in medical supplies 📦🧠. His interdisciplinary approach leverages data science, econometrics, and platform service analysis to optimize decision-making in uncertain environments 📊🤖. With contributions cited in leading journals, Dr. Pal is shaping the future of healthcare and operations management through analytical modeling and system-level innovations

Publication Top Notes

📘 Withstanding the economic recession: Examining the efficacy of manufacturing strategy alignment and process integration – 18 citations | 2021 
📘 Collaborative dynamics in open source software development: Influence of team interaction & role of project manager – 3 citations | 2024 
📘 Consignment inventory shrinkage in general and physician preference medical supplies: An analytical investigation – 3 citations | 2023 
📘 Medical countermeasures during public health emergencies—Does information sharing help? – 2025 
📘 Toward a Resilient Healthcare Supply Chain: Managing Health Systems, Hospitals & Vaccine Distribution – Doctoral Dissertation | 2022

Sebastian Paull| Supply Chain | Best Researcher Award

Published on by Global Academic Awards

Mr. Sebastian Paull| Supply Chain | Best Researcher Award

Mr. Sebastian Paull, University of Mannheim, Germany

Sebastian Paull is a highly qualified researcher in supply chain science, with expertise in probabilistic forecasting, stochastic optimization, and big data analytics. His research has practical relevance, offering decision-making improvements beyond traditional forecasting methods. His industry experience and leadership further validate his contributions. However, enhancing publication records and expanding interdisciplinary impact would further strengthen his candidacy.

Publication Profile: 

Orcid

Education & Training 🎓

Sebastian Paull is currently a doctoral candidate at the University of Mannheim (2020 – Present), focusing on integrating machine learning-based probabilistic forecasting and stochastic optimization into supply chain planning. He holds a Master of Science in Business Informatics (1.9) from DHBW Karlsruhe & EnBW (2016 – 2018) and a Bachelor of Science in Business Informatics (2.2) from the same institution (2012 – 2015).

 

Work Experience 💼

Sebastian has extensive experience in supply chain analytics, optimization, and IT risk assurance. Currently, he is a Lead Supply Chain Scientist at Aioneers (October 2023 – Present), where he leads an international data engineering team, facilitates cross-regional collaboration, and develops technology solutions for supply chain optimization. Previously, he worked as a Senior Supply Chain Scientist (April 2020 – September 2023), conducting demand forecasting, cluster analysis, and production optimization. His expertise in dashboarding and supply chain data modeling has helped organizations improve inventory management and reduce operational costs.,Earlier, he served as a Supply Chain Analyst at EY Mannheim (2020 – Present), focusing on demand forecasting, portfolio analysis, and IT risk assessment. Before that, as an IT Risk Assurance Consultant at EY Frankfurt (2018 – 2020), he optimized IT processes, ensured regulatory compliance, and advised businesses on secure technology adoption.

Research Focus 🔬🧪

Sebastian’s research bridges theory and practice in supply chain management, emphasizing ML-based probabilistic forecasting and stochastic optimization to address demand uncertainties. His work demonstrates the advantages of neural networks over traditional point forecasts, particularly in managing complex demand patterns. He provides practical, adaptable approaches to supply chain practitioners, advocating for a gradual transition from simpler models to probabilistic forecasting techniques to improve real-world decision-making.

Awards and Recognitions:

Sebastian has contributed to multiple high-impact projects in supply chain optimization and data science. His work has been recognized for enhancing supply chain performance, improving IT risk assurance, and developing advanced forecasting methodologies. His academic research and professional contributions position him as a leader in data-driven supply chain optimization.

Skills : 

Sebastian specializes in probabilistic forecasting, stochastic optimization, and big data processing. He has extensive experience with PySpark on Databricks, Pyomo for optimization modeling, and machine learning techniques for demand forecasting. His expertise extends to dashboarding and Business Intelligence tools, enabling data-driven decision-making in supply chain management.,Additionally, he is fluent in German (native), English (native), Swedish (C1), Spanish (B1), and French (A2).

 

Publication Top Notes

Machine Learning for Master Production Scheduling: Combining probabilistic forecasting with stochastic optimisation

Spinning gold from straw – evaluating the flexibility of data centres on power markets