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Bruno AbrahaoView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Large Language Models
• +3 more

Bruno Abrahao is an Assistant Professor of Information Systems and Business Analytics at NYU Shanghai and a Global Network Assistant Professor at the Leonard N. Stern School of Business, New York University. He is also a faculty member in the Center for Artificial Intelligence and Deep Learning. His educational background includes: PhD in Computer Science from Cornell University (under Bobby Kleinberg) MSc in Computer Science from Cornell University Professor Abrahao's research centers on the applications of Artificial Intelligence in business, alongside foundational methods in deep learning and large language models. He also focuses on data science to analyze interactions within digital platforms and marketplaces, uncovering insights into their structure and evolution to improve decision-making and operational efficiency. His work bridges the gap between theoretical AI advancements and practical business applications, with a particular emphasis on how AI can transform traditional business processes and create new opportunities in the digital economy. His recent publications demonstrate a strong focus on applying cutting-edge AI techniques to solve complex business problems across multiple sectors including finance, marketing, operations, and digital platforms. The research shows a clear trajectory toward more sophisticated AI applications with increasing emphasis on ethical considerations, explainability, and practical implementation challenges. His notable awards include: Outstanding Study Design Paper Award 2019 by the Thirteen International Association for the Advancement of Artificial Intelligence Conference on Web and social media Best Extended Abstract Award for 'From Power to Status in Online Exchange', Association for Computing Machinery Web Science 2012 Best Paper Award Finalist for 'Fractal Characterization of Web Workloads', Eleventh International World Wide Web Conference Teaching Award from Cornell University (2009) Professor Abrahao has taught various courses including 'AI for Business – Reinforcement Learning', 'AI for Business – Machine Learning', 'Network Analytics (graduate level)', and 'Computer Science Independent Study'. His teaching focuses on equipping students with practical AI skills that can be directly applied to business challenges, emphasizing hands-on learning and real-world application of AI techniques.

Sali MustaphaView profile

Lecturer

• Supply Chain Management
• Operations Research
• Mass Customization
• +3 more

Sali Mustapha is a Lecturer at Paris Dauphine University , focusing on supply chain dynamics and production planning. Their work bridges theoretical operations management with industrial applications, particularly in the automotive sector. Expertise in mass customization and sales and operations planning (S&OP) Specialized in inventory risk modeling and emergency supply chain strategies Research trends derived from 15 publications (2011-2023) reveal consistent themes in: MRP adaptation for uncertainty and non-stationary demand Bill of Materials (BOM) complexity in high-variety environments Batch sizing and sequencing problems with capacitated buffers Lean manufacturing and just-in-time assembly optimization Collaborative work with LAMSADE laboratory researchers (e.g., V. Giard, C. Chatras) underpins their contributions to supply chain resilience and automotive industry transformation .

Dane ChristensenView profile

Researcher

• Energy Security
• Geothermal Research
• Cybersecurity
• +5 more

Dane Christensen is a Laboratory Program Manager at the National Renewable Energy Laboratory (NREL), overseeing national security research. Previously, he served as a Group Manager for Cybersecurity Research and Senior Researcher for Smart Buildings. With over 50 peer-reviewed publications, four issued patents, and leadership in pioneering projects like foresee™ technology (2018 R&D 100 Award winner), he specializes in energy security, cybersecurity, and grid-edge technologies. Affiliation : National Renewable Energy Laboratory Education : Bachelor of Mechanical Engineering, Rice University PhD in Mechanical Engineering, University of California, Berkeley His research focuses on Internet of Things , data-driven energy controls , and virtual power plants , with notable work in cybersecurity frameworks for electric grids and smart home energy systems. Key contributions include: Development of foresee™ technology for home energy management Technoeconomic studies on geothermal energy in cold climates Transactive energy market frameworks for grid stability Behavioral analysis of consumer load preferences Co-simulation techniques for cyber-physical systems Residential battery modeling for economic optimization Scientific Awards : R&D 100 Award (2018) for foresee™ technology Christensen's work spans publications, patents, and technical reports analyzing grid-edge vulnerabilities, smart home systems, and renewable integration. His collaborations address energy efficiency, cybersecurity, and sustainable community design.

• Animal Sciences
• Feed and Water Intake Efficiency
• Beef Cattle Management
• +7 more

Chris Richards is a Professor in the Department of Animal & Food Sciences at Oklahoma State University since 2017. He holds a PhD in Animal Sciences from the University of Kentucky (1999), an MS in Animal Sciences from the University of Nebraska–Lincoln (1996), and a BS in Animal Sciences from Texas A&M University (1992). His research focuses on beef cattle genetics, feed/water efficiency, methane emissions, and health management , with significant contributions to climate adaptation strategies and sustainable livestock production. Education: PhD, Animal Sciences, University of Kentucky (1999) MS, Animal Sciences, University of Nebraska–Lincoln (1996) BS, Animal Sciences, Texas A&M University (1992) His work on genetic heritability of water intake behaviors, methane prediction models , and feedlot health protocols has been published in journals like the Journal of Animal Science and Translational Animal Science . He has secured continuous funding from the U.S. Geological Survey (2017–2025), U.S. Department of Agriculture (2014–2021), Novus International (2012–2029), and Lallemand Animal Nutrition (2007–2015). Richards teaches graduate-level courses including Doctoral Research and Dissertation and Master's Thesis in International Agriculture , emphasizing independent research in beef cattle systems. His extension publications on topics like water requirements and PI-BVDV management provide practical guidance for producers. Collaborations span institutions such as the University of Nebraska, Texas A&M, and industry partners like Kemin Industries and ABS Global.

• Sustainable Operations
• Circular Supply Chains
• Multi/Omni-channel Distribution
• +4 more

Dr. Nail Tahirov is an Assistant Professor in Operations & Supply Chain Management at Durham University Business School. His academic expertise spans sustainable operations, circular supply chains, and process optimization in manufacturing and service sectors. PhD in Production & Supply Chain Management (Technical University of Darmstadt) Postdoctoral research at University of Zurich's Sustainable Operations Management Chair Research Focus: Nail Tahirov specializes in applying management science techniques to address challenges in internal logistics, scheduling optimization, and e-commerce operations. His work bridges theoretical operations management with practical consultancy projects across industries. Publications Trends: His scholarly output concentrates on supply chain network design, last-mile logistics, demand forecasting models, and workforce optimization strategies. Recent papers explore retailer-manufacturer dynamics, vehicle routing in reverse logistics, and perishable product forecasting. Contributions: Published in top-tier journals including European Journal of Operational Research , INFORMS Journal on Applied Analytics , and International Journal of Production Economics , with a particular emphasis on sustainable operations and technological integration in supply chains.

Bertan BadurView profile

Professor

• Data Mining
• Agent-Based Modeling
• Machine Learning
• +2 more

Bertan Badur is a Professor at Boğaziçi University, where he teaches courses such as MIS 132 - Object Oriented Programming , MIS 331 - Data Mining , and CSE 551 - Computational Methods . His research focuses on Data Mining, Agent-Based Modeling, and Machine Learning. Undergraduate: Boğaziçi University, Chemical Engineering M.A.: Boğaziçi University, Economics Ph.D.: Boğaziçi University, Economics His work spans interdisciplinary applications, including predictive analytics in e-commerce , game theory for market share dynamics , and agent-based simulations for migration and social behavior . He has contributed to fields like IT risk modeling , social media analysis for education , and IoT research trends . Recent publications highlight trends in deep learning for customer lifetime value prediction , Nash equilibrium in economic competition , and spatiotemporal crime risk modeling . His academic career bridges computational methods with socio-economic challenges.

Fahrettin ÇakırView profile

Assistant Professor

• Managerial Sciences
• Operations Research
• Business Analytics
• +3 more

Fahrettin Çakır is an Assistant Professor at Boğaziçi University , where he teaches courses in management and operations research. His academic background includes a double undergraduate degree in Economics and Mathematics from Boğaziçi University, followed by a Master's and Ph.D. in Economics and Business Administration from The University of Iowa. MIS 113 - Principles of Management MIS 128 - Managerial Communication His research focuses on Managerial Sciences , Operations Research , and Business Analytics , with a particular emphasis on predictive modeling in the Orienteering Problem with Stochastic Profits and routing optimization. He has also explored Islamic Economics through studies on interest-free rotating savings and credit associations (ROSCA) in Turkey. Recent publications highlight his work on AI applications in corporate social responsibility analysis, stochastic routing strategies, and simulation-based model evaluation. These studies span interdisciplinary domains such as organizational behavior, environmental sustainability in airport operations, and computational finance.

• Sustainable HCI
• Persuasive Technologies
• Behavior Change Technologies
• +3 more

Dr. Diego Casado Mansilla is a Researcher at the MORElab group within the Department of Computing, Electronics and Communication Technologies at the College of Engineering, University of Deusto. His work bridges Sustainable Human-Computer Interaction (HCI), Persuasive Technologies, and Internet of Things (IoT) systems to drive behavior change in energy consumption, urban sustainability, and STEM education accessibility. Education: PhD in Persuasive Technologies for Sustainability and Behavior Change (2016), University of Deusto His research spans two decades, focusing on Sustainable Design , Physical Interaction with Everyday Objects , and Human-Centric IoT Systems . He has led projects like Suggestive Autonomy (2016) and co-led GreenSoul (2017, 2019), which employ IoT for energy awareness in public buildings. Current projects include AmIAire (air quality monitoring) and Urban Adaptation and Alert Solutions (climate resilience, 2024-2028). Key trends in his 20+ publications (2012-2025) include: Energy efficiency in tertiary buildings and smart cities IoT protocols (CoAP, IEC 61850) for industrial and urban systems Behavioral economics and nudging for sustainable decisions Rural STEM education via remote experiments Privacy-preserving smart workplace systems Climate change perception studies across generations His supervised theses and projects address User Diversity , Edge Computing , and Industry 4.0 Adoption . He collaborates with European institutions on grants from the Ministry of Science and Innovation and European Commission , contributing to citizen science initiatives like SOCIO-BEE and educational tools such as EngageMate and Computario .

• Systems Modelling
• Operational Research
• Life Cycle Assessment (LCA)
• +5 more

Daniel Sandars is a Research Fellow in Operational Research and Natural Resources at the Cranfield Environment Centre , Cranfield University. With over two decades of experience in agricultural systems modelling, he specializes in applying quantitative methods like linear programming (LP) , data envelopment analysis (DEA) , and life cycle assessment (LCA) to evaluate environmental impacts and optimize decision-making in agriculture. His work bridges computational techniques with sustainable land systems and digital agriculture. Education: MSc in Operational Research (2004), University of Hertfordshire MSc in Applied Environmental Science (1994), Wye College, University of London BSc (Hons) in Agriculture (1990), Seale-Hayne College, Polytechnic Southwest His research focuses on systems modelling for climate change adaptation, greenhouse gas inventory accuracy, and environmental LCA of agricultural innovations. Recent projects include methane emission analysis for UK manure management, structural modelling of livestock systems, and quantifying environmental impacts of wastewater treatment technologies. Daniel’s work has been cited in high-impact journals like Environmental Research: Food Systems and Environmental Modelling & Software . He has received professional recognition as a Chartered Environmentalist (CEnv) , Associate Fellow of the Operational Research Society (AFORS) , and Competent Communicator (CC) from Toastmasters International . Key Scientific Contributions: Developed disaggregation models for UK cattle industry emissions Created structural models for sheep marketing and movement analysis Quantified environmental impacts of bio-fertilizers and wetland biofuels Benchmarked farm environmental efficiency using DEA Predicted land use changes under climate and biodiversity policies He has lectured on linear programming for environmental economics, LCA case studies for organic waste processing, and project management techniques for transportation. His research is publicly funded by organizations like Defra , EU FP7 , and Environment Agency .

Muditha HeenkendaView profile

Associate Professor

• Remote Sensing
• Geographic Information Systems (GIS)
• Spatial Analysis
• +4 more

Dr. Muditha Heenkenda is an Associate Professor in the Department of Geography & The Environment at Lakehead University, Canada, with expertise in remote sensing, GIS, and geostatistics. Holding a PhD in GIS and Remote Sensing from Charles Darwin University, Australia, and an MSc in Geo-information Science from Wageningen University, Netherlands, he focuses on natural resource management through geospatial technologies. PhD (GIS and Remote Sensing) - Charles Darwin University, Australia MSc (Geo-information Science) - Wageningen University, The Netherlands Higher Diploma (Surveying) - Institute of Surveying and Mapping, Sri Lanka BSc (Mathematics & Physics) - University of Peradeniya, Sri Lanka His research explores remote sensing applications in forestry and agriculture, including wildfire mapping, precision farming, and machine learning techniques for image analysis. Recent work involves UAV-based forest inventory, sugarcane nutrient monitoring, and integrating LiDAR with multispectral imagery. Dr. Heenkenda contributes to the Lakehead Applied Geomatics Research Lab , advancing practical geospatial solutions for natural resource challenges. Though no scientific awards are listed, his interdisciplinary approach bridges geomatics with agricultural and environmental decision-making.

İbrahim AkbenView profile

Associate Professor

• Logistics
• Supply Chain Management
• International Trade
• +3 more

Assoc. Prof. Dr. İbrahim Akben serves as a full-time academic and Vice President of the International Trade and Logistics Department at Hasan Kalyoncu University's Faculty of Economics, Administrative and Social Sciences. Education: Doctorate (2014) - Kahramanmaraş Sütçü İmam University Master's Degree (2008) - Kahramanmaraş Sütçü İmam University Bachelor's Licence (2005) - Kahramanmaraş Sütçü İmam University Associate Degree (1999) - Kahramanmaraş Sütçü İmam University His research concentrates on modern logistics challenges, with emphasis on Industry 4.0 integration in production systems, urban delivery optimization, lean supply chain methodologies, and eco-friendly transportation solutions. His work bridges theoretical frameworks with practical applications in trade and logistics management. Analysis of his 2018 publications reveals a consistent focus on technological disruption in logistics, particularly examining Industry 4.0's impact on production models, city-specific logistics challenges in emerging economies, waste reduction in supply chains, and sustainable vehicle technologies. These studies demonstrate applied research addressing real-world industry pain points.

• Process Systems Engineering
• Chemical Process Optimization
• Hybrid Modeling
• +7 more

Vladimir Mahalec is a Professor in the Department of Chemical Engineering within the Faculty of Engineering at McMaster University. With a career spanning over four decades, his scholarly activity shows consistent publication output from 1977 through 2025, with particular intensity in recent years. He maintains an active teaching schedule, offering graduate courses including Systems Modeling and Optimization (CHEMENG 753, SEP 752), Leadership for Innovation (SEP 773), and M.Eng. Project courses. Professor Mahalec's research interests focus on the intersection of chemical engineering process optimization, hybrid modeling techniques, and sustainable energy systems. His work bridges traditional chemical engineering with modern computational approaches, particularly in refinery planning, distillation tower modeling, and carbon footprint reduction. He has developed innovative methodologies such as inventory pinch algorithms for gasoline blend planning and hybrid models combining first-principles with data-driven approaches for process monitoring and optimization. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional process engineering. His work increasingly focuses on sustainability challenges, particularly zero-emission energy systems and greenhouse gas reduction strategies. The publications show a progression from purely process engineering topics toward interdisciplinary work combining chemical engineering, computer science, and environmental science. Professor Mahalec has maintained a productive research program with consistent publication output across multiple high-impact journals including Computers and Chemical Engineering , AIChE Journal , and Energy . His co-author network includes notable researchers such as Prashant Mhaskar (8 publications), Robert Fleisig, and Christopher Swartz. In the classroom, Professor Mahalec teaches advanced courses focused on systems modeling, optimization, and innovation leadership. His teaching portfolio demonstrates commitment to both technical depth in chemical engineering systems and broader skills development for engineering leadership. He has supervised numerous capstone design projects and M.Eng. projects, guiding students through complex process engineering challenges.

• Industry 4.0
• Logistics
• Sustainable Development
• +3 more

Patrik Richnák is an Associate Professor at the Department of Business Economy, Faculty of Economic Informatics, University of Economics in Bratislava. His academic work focuses on production management, logistics, and digital transformation in Slovak industrial enterprises. Academic Rank: Associate Professor Institution: University of Economics in Bratislava Department: Business Economy Research Focus: Industry 4.0, Sustainable Logistics, Digital Technologies His research explores the intersection of Industry 4.0 and sustainable development , particularly in metallurgy, electronics, and wood processing sectors. Key themes include quality management evolution, logistics digitalization, and green innovation adoption. Recent publications analyze trends in smart manufacturing , reverse logistics , and electromobility across Slovak industrial enterprises, with a focus on aligning technological progress with SDGs.

Amy CohnView profile

Professor

• Healthcare Operations Research
• Patient Scheduling
• Resource Allocation in Healthcare
• +6 more

Amy Cohn is a Professor at the University of Michigan School of Public Health and College of Engineering, with appointments in the Department of Health Management and Policy and Industrial and Operations Engineering. Her work focuses on applying operations research methodologies to healthcare systems optimization. Education PhD in Operations Research from Massachusetts Institute of Technology (2002) AB in Applied Mathematics from Harvard University (1991) Research Interests Dr. Cohn's research centers on improving healthcare delivery through operations research and systems engineering approaches, particularly for patient scheduling , resource allocation , and health information technology . She has developed simulation models for chemotherapy deferrals, surgical training efficiency, and glaucoma clinic wait times. Scientific Awards Arthur F Thurnau Professorship - recognizing excellence in teaching and research Publications Trends Her publications demonstrate a consistent application of discrete-event simulation , stochastic programming , and optimization techniques to address healthcare challenges including telehealth scheduling , residency training logistics , and patient safety improvements through engineering-clinical collaborations. Leadership Roles As Associate Director of the Center for Healthcare Engineering and Patient Safety, she leads multidisciplinary teams in developing practical solutions for complex healthcare operations problems.

Vanessa FelchView profile

Researcher

• Maturity Models
• E-commerce Logistics
• Returns Management
• +3 more

Vanessa Felch is a Research Assistant and Scientific Associate at the Chair of Operations Management and Logistics, Faculty of Social Sciences, Economics and Business Administration, Otto-Friedrich University of Bamberg. She holds a Master's degree in Business Administration with a focus on Controlling, Logistics, and Marketing from the University of Bamberg and a Bachelor's degree in Business Sciences from Friedrich-Alexander University Erlangen-Nuremberg. Education: M.Sc. in Business Administration (Controlling, Logistics, Marketing), University of Bamberg (2015-2017) B.A. in Business Sciences, Friedrich-Alexander University Erlangen-Nuremberg (2011-2014) Academic studies abroad at Mälardalen University, Sweden (2012-2013) Professional Roles: Research and Teaching Assistant at University of Bamberg (since 2017) Working Student at Siemens Healthcare GmbH (2013-2017) Her research focuses on maturity models, e-commerce logistics, returns management, and sustainability in logistics. Recent publications explore business process maturity models, industry 4.0 integration in supply chains, and sustainable practices in e-commerce. She teaches courses on E-Commerce, Production Theory, and academic research methods at both bachelor's and master's levels. Vanessa Felch's work bridges theoretical foundations and practical implementation in logistics, with a strong emphasis on digital transformation (Industry 4.0) and consumer-centric delivery solutions. Her publications highlight interdisciplinary approaches combining operations management, sustainability, and digital platforms. She facilitates thesis applications for students and collaborates with industry partners through the Chair of Operations Management and Logistics. Email contact: vanessa.felch@uni-bamberg.de .