Find Academic Supervisors

Steve EllerView profile

Lecturer

• AI in Talent Acquisition
• Talent Development and Operations

Steve Eller serves as an Adjunct Instructor at the Paul H. O'Neill School of Public and Environmental Affairs, Indiana University, contributing to academic programs with expertise in human resources technology and operational management. His instructional responsibilities include teaching SPEA 412. His academic credentials are: MBA from Indiana Wesleyan University (1987) BS in Administration from Indiana University (1984) Eller's research examines artificial intelligence and chatbot applications in modernizing talent acquisition workflows, with emphasis on algorithmic efficiency and candidate engagement. He concurrently investigates integrated talent development frameworks covering operational execution in human resources, specifically scheduling optimization and revenue cycle management within organizational talent pipelines, aiming to bridge technological innovation with practical HR implementation. His professional focus remains centered on translating emerging technologies into actionable human capital strategies through academic instruction and applied research.

Paulo FernandesView profile

Professor

• Stochastic Models
• Natural Language Processing
• Computer Science in Multidisciplinary Environments
• +4 more

Paulo Fernandes is a Program Director and Professor of Computer Science at Merrimack College. He holds a Ph.D. in Computer Science from INP Grenoble (France), an M.Sc. and B.Sc. from UFRGS (Brazil). His research focuses on stochastic models, natural language processing, and interdisciplinary applications of computer science. He teaches graduate courses in algorithms, discrete structures, and software systems. Education: Ph.D. (INP Grenoble), M.Sc. & B.Sc. (UFRGS) Teaching: Master’s courses in Algorithms, Systems & Languages, and Discrete Structures His work spans computational linguistics (e.g., PortiLexicon-UD lexical resource), stochastic modeling for software projects, and Markovian analysis in geology and engineering. He has published extensively on topics like HMM fitting, term relevance metrics, and distributed team performance. Key research contributions include: language-independent POS tagging systems, stochastic frameworks for global software development, and dimensionality reduction techniques for event forecasting. He has collaborated on tools such as PEPS and SANGE for stochastic modeling.

Leonardo Bedoya-ValenciaView profile

Researcher

• Operations Research
• Scheduling Algorithms
• Healthcare Logistics
• +4 more

Leonardo Bedoya-Valencia is a researcher affiliated with the Department of Industrial and Manufacturing Engineering at Colorado State University-Pueblo. His work focuses on the intersection of operations research, healthcare logistics, and sustainability in engineering education. His research interests include optimization algorithms for scheduling and resource allocation, simulation modeling for healthcare systems and manufacturing processes, and integrating sustainability principles into engineering curricula. He has contributed to improving emergency department workflows, powder coating facility operations, and renewable energy resource modeling. Bedoya-Valencia has published extensively on topics such as multi-objective home healthcare routing, Taguchi method applications in material science, and blended learning strategies for statistics education. His work emphasizes practical solutions for dynamic environments and educational challenges in STEM fields. Key focus areas: operations research applications, healthcare system analytics, sustainable manufacturing, and curriculum innovation Notable contributions: development of dispatching rules for flexible flow shops and triage process modeling in emergency departments His research bridges theoretical optimization techniques with real-world implementation, particularly in healthcare and sustainable energy sectors.

Bernd SchweibenzView profile

Professor

• Construction Management
• Digitalization in Construction
• Life Cycle Costs
• +3 more

Prof. Bernd Schweibenz is a Professor of Construction Operations and Management at the Department of Civil Engineering, University of Applied Sciences Potsdam. He also serves as an Academic Advisor for Civil Engineering programs and is a member of the Departmental Council. His career includes roles at Biberach University of Applied Sciences (2008–2012) and the Technical University of Munich (1999–2005). He is a certified consulting engineer specializing in construction management, supplementary claims, and organizational consulting. Research focuses on: Optimization of manufacturing and business processes Digitalization in construction management (BIM) Recruitment and personnel development in construction Life cycle cost analysis of buildings Publications span topics like Generation Y workforce expectations, PPP project frameworks, and construction documentation technologies. He actively contributes to industry standards through roles in associations like VDI and VSVI. His consulting practice addresses organizational challenges in the construction sector. Professional memberships include the Association of Consulting Engineers (VBI), Association of German Engineers (VDI), and Research Association for Road and Transport Engineering (FGSV). His career bridges academia with practical expertise in public infrastructure, audit practices, and construction technology.

Chih-Yang TsaiView profile

Professor

• Supply Chain Management
• Operations Research
• Linear and Non-Linear Optimization
• +5 more

Dr. Chih-Yang Tsai is a Professor of Operations and Decision Sciences at the School of Business, SUNY New Paltz. He earned his Ph.D. in Operations Research from New York University's Stern School of Business (1993) and an MBA from Tatung University, Taiwan. With over three decades of academic experience, he has held leadership roles including Associate Dean (2006–2013) and Interim Dean (2013–2014). His research focuses on supply chain management, optimization, and simulation, with publications in journals like Decision Support Systems and Mathematical Programming . He teaches courses such as Operations Management, Decision Modeling, and Managing Operations & IT. Notable awards include the W. Edwards Deming Scholarship (1990) and the SUNY New Paltz School of Business Distinguished Service Award (2010). His applied work includes optimizing marketing budgets for American Express and developing analytical tools for regional businesses. He is an active member of INFORMS and the Decision Sciences Institute.

Ravi MukkamalaView profile

Professor

• Data Security
• Cloud Computing
• Distributed Systems
• +5 more

Ravi Mukkamala is a Professor & Chair in the Department of Computer Science at Old Dominion University . He holds advanced degrees including a Ph.D. in Computer Science (University of Iowa, 1987) and an MBA from Old Dominion University (1993). His research focuses on security, distributed systems, cloud computing, and real-time database systems, with notable contributions to privacy-preserving data management, blockchain applications, and UAV-based healthcare logistics. Education: Ph.D. in Computer Science, University of Iowa, 1987 M.B.A., Old Dominion University, 1993 Other in Computer Systems, Indian Institute of Technology Kanpur, 1978 B.E. in Electronics and Communications, Osmania University, 1976 Research Interests: Dr. Mukkamala’s work spans cybersecurity, blockchain technology, vehicular and UAV systems, distributed databases, and aviation software. He emphasizes practical applications like secure payment systems, privacy-preserving data mining, and automated healthcare delivery via drones. Articles Overview: His recent publications address cutting-edge topics such as blockchain-based healthcare monitoring, UAV logistics for medical supplies, and privacy-preserving machine learning techniques. Earlier work includes foundational studies on distributed databases and real-time systems security. Awards: Best Paper Awards (2008–2009) Phi Kappa Phi and Beta Gamma Sigma memberships Most Inspiring Faculty Member Award (Old Dominion University) Grants & Advising: He has led over 20 grants totaling millions, including projects on airspace systems, IT infrastructure management, and STEM education. His advisory work includes aviation software testing (e.g., TDMS) and coalition-based resource sharing. Labs & Teams: Collaborates with university and industry partners on projects involving cybersecurity, UAV systems, and distributed cloud architectures.

Henry AigbedoView profile

Professor

• Supply Chain Management
• Just-In-Time/Lean
• Sustainability
• +4 more

Henry Aigbedo is a Professor of Operations and Supply Chain Management at Oakland University's School of Business Administration. He holds a Ph.D. in Management Science and Engineering from the University of Tsukuba, Japan. Prior to his current role, he held faculty positions at institutions including Federal University of Technology, Minna, Nigeria, and Iowa State University. His research focuses on Supply Chain Management, Sustainability, Lean/Just-In-Time systems, and Risk Management. He has published widely in journals like European Journal of Operational Research and International Journal of Production Research, and serves on editorial boards for several academic journals. Notably, he has received awards such as the 2025 Order of the Golden Plume for Teaching Excellence and the 2019 Distinguished Service Award from Oakland University. His teaching expertise includes courses on Production and Operations Management, Supply Chain Strategy, and Management Science. He actively engages in professional organizations like INFORMS and POMS. His recent work examines environmental performance in global supply chains and resilience in the hospitality industry during the pandemic. He has also contributed to industry collaborations through advisory roles and research partnerships in Nigeria, Japan, and the U.S. Key professional contributions include developing frameworks for mass customization in JIT systems, analyzing supply chain sustainability, and advancing understanding of multilateral environmental agreements' impacts. His editorial roles and over 30 years of academic experience reflect his leadership in operations management scholarship.

Heiner StuckenschmidtView profile

Professor

• Artificial Intelligence
• Machine Learning
• Knowledge Representation
• +5 more

Professor Heiner Stuckenschmidt holds the Chair of Artificial Intelligence at the University of Mannheim within the School of Business Informatics and Mathematics. He has been a W3 Professor for Practical Computer Science specializing in Artificial Intelligence since 2011 and previously held a W2 professorship from 2009-2011. He serves as a member of the directorate of the Mannheim Center for Data Science since 2020 and was the CIO of the University of Mannheim from 2011-2022. His research spans multiple areas of Artificial Intelligence including knowledge representation, machine learning, business process management, and semantic web technologies. He leads the Artificial Intelligence research group within the Data and Web Science Group at Mannheim, conducting both fundamental and applied research addressing specific challenges in industry and society. His recent work focuses on applications of AI in business processes, education, transportation, healthcare, and supply chain management. Professor Stuckenschmidt has published extensively in top-tier conferences and journals, with over 100 publications spanning from 2010 to 2025. His research output shows a strong focus on practical applications of AI methods across various domains, with recent emphasis on business process management, educational data mining, transportation systems, and supply chain optimization. His group has received recognition including a Best Paper Award at ICPM for their work on AgentSimulator. His scientific contributions include: Nomination for Best Paper Award at CAiSE 2025 Best Paper Award at ICPM for 'AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation' Development of tools like AnyBURL (rule learner for Knowledge-Base Completion), ALCOMO (tool for repairing ontology alignments), and Rockit (query engine for Markov Logic) Professor Stuckenschmidt teaches several courses including Industrial Applications of Artificial Intelligence, Decision Support, Data Science in Action, and Business Informatics II: Fundamentals of Modeling. He supervises PhD students and offers thesis topics in his research areas. His research is supported by multiple projects including NEST-bw, Meeting KI, TransforMA, sMArt roots, CAIUS, and KISync.

Sarah BonzoView profile

Associate Professor

• Operations Management
• Lean Methodology
• Process Improvement
• +5 more

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
• +6 more

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-KazerouniView profile

Assistant Professor

• Supply Chain Management
• Operations Management
• Process Improvement
• +6 more

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
• +5 more

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 BadiyanView profile

Associate Professor

• Radiation Oncology
• Proton Therapy
• Adaptive Radiotherapy
• +5 more

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 ArbabView profile

Assistant Professor

• Radiation Oncology
• Translational Research
• Adaptive Radiotherapy
• +4 more

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
• +3 more

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.