Teams
Ph.D. Students
Md Ariful Islam
Md Ariful Islam is a Ph.D. student and research assistant in Industrial and Systems Engineering, with a background in statistics and data science. His research interests focus on Bayesian inference, spatial modelling, and data-driven decision-making in public health and environmental systems. Before joining UNC Charlotte, he worked as a Statistical Officer at the Bangladesh Bureau of Statistics, where he contributed to national surveys and policy-driven research. He is passionate about applying analytical methods to real-world challenges that impact both human and animal well-being.
Md Ariful Islam is a Ph.D. student and research assistant in Industrial and Systems Engineering, with a background in statistics and data science. His research interests focus on Bayesian inference, spatial modelling, and data-driven decision-making in public health and environmental systems. Before joining UNC Charlotte, he worked as a Statistical Officer at the Bangladesh Bureau of Statistics, where he contributed to national surveys and policy-driven research. He is passionate about applying analytical methods to real-world challenges that impact both human and animal well-being.
Srijana(Shree) Raut
Srijana(Shree) Raut is a Ph.D. student and research assistant in Industrial and Systems Engineering. Her research interests include big data analytics, deep reinforcement learning for decision-making in energy systems and manufacturing, AI-driven optimization, and sustainable infrastructure modeling.
Srijana(Shree) Raut is a Ph.D. student and research assistant in Industrial and Systems Engineering. Her research interests include big data analytics, deep reinforcement learning for decision-making in energy systems and manufacturing, AI-driven optimization, and sustainable infrastructure modeling.
Taraneh Kamyab
Taraneh is a PhD Candidate at UNC Charlotte studying data-driven forecasting of infrastructure deterioration. With a background in civil engineering and data science, I enjoy building predictive models that can create real-world impact. I thrive on collaboration, problem-solving, and bringing creative ideas into technical projects.
Taraneh is a PhD Candidate at UNC Charlotte studying data-driven forecasting of infrastructure deterioration. With a background in civil engineering and data science, I enjoy building predictive models that can create real-world impact. I thrive on collaboration, problem-solving, and bringing creative ideas into technical projects.
Master’s Students
Omer Rehman
Omer Rehman is a Master's student and research assistant in the Engineering Management Program at UNCC. His current research focuses on energy load forecasting, data-driven inventory control methods, and data modeling techniques.Omer brings a unique interdisciplinary perspective to the team, having completed his undergraduate degree in Astronomy at the University of Groningen, where his thesis explored the detection of gravitational lenses caused by primordial black holes. This strong foundation in computational analysis and complex data modeling now drives his passion for addressing real-world energy challenges through innovative, data-driven solutions.
Omer Rehman is a Master's student and research assistant in the Engineering Management Program at UNCC. His current research focuses on energy load forecasting, data-driven inventory control methods, and data modeling techniques.Omer brings a unique interdisciplinary perspective to the team, having completed his undergraduate degree in Astronomy at the University of Groningen, where his thesis explored the detection of gravitational lenses caused by primordial black holes. This strong foundation in computational analysis and complex data modeling now drives his passion for addressing real-world energy challenges through innovative, data-driven solutions.
Isaac Oladipupo
Isaac Oladipupo is a master’s student in Engineering Management at UNC Charlotte, concentrating in logistics and supply chain systems. He has professional experience at NTT Data, Johnson & Johnson, and AT&T, where he worked on supply chain technology projects, logistics systems design, and AI-driven forecasting. His interests focus on supply chain optimization, systems design, and applying engineering methods to improve efficiency and resilience.
Isaac Oladipupo is a master’s student in Engineering Management at UNC Charlotte, concentrating in logistics and supply chain systems. He has professional experience at NTT Data, Johnson & Johnson, and AT&T, where he worked on supply chain technology projects, logistics systems design, and AI-driven forecasting. His interests focus on supply chain optimization, systems design, and applying engineering methods to improve efficiency and resilience.
Amanda Renjifo
Amanda Renjifo is pursuing a Master's in Engineering Management with a concentration in Energy Analytics at the University of North Carolina at Charlotte. She brings prior experience in federal energy management, private sector energy project development, and currently works for Duke Energy, developing energy resilience and efficiency projects for federal agencies. With a background in electrical engineering, Amanda is dedicated to creating technical, data driven energy solutions that enhance system reliability and strengthen resilience across critical infrastructure.
Amanda Renjifo is pursuing a Master's in Engineering Management with a concentration in Energy Analytics at the University of North Carolina at Charlotte. She brings prior experience in federal energy management, private sector energy project development, and currently works for Duke Energy, developing energy resilience and efficiency projects for federal agencies. With a background in electrical engineering, Amanda is dedicated to creating technical, data driven energy solutions that enhance system reliability and strengthen resilience across critical infrastructure.