Mohiminur Rahman Ifty is a graduate researcher working at the intersection of optical instrumentation, applied photonics, and computational sensing. His research focuses on compact optical measurement systems that integrate quantitative photonic sensing with data driven interpretation, aiming to extend high precision analysis beyond traditional laboratory infrastructure into practical and adaptable tools.
He is driven by the goal of enabling clinically meaningful measurement at the point of care in resource limited settings, with an emphasis on low-cost technologies that support rapid and reliable decision making in bedside and treatment room workflows. Using the same field deployable sensing approach, he is also interested in biosensor-based pathogen detection for food quality monitoring and environmental surveillance, where rapid, low cost, and reliable measurement is equally critical.
In parallel, he maintains an interest in semiconductor device engineering and simulation, particularly where device level design can support future optoelectronic platforms and integrated sensing hardware. His broader research vision is to connect fundamental engineering with practical instrumentation and enable scalable tools that can be adapted across domains such as sensing, diagnostics, monitoring, and intelligent inspection.
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A smartphone-based near ultraviolet (UV) colorimeter is demonstrated for the first time using an external UV LED source (Δλ ≈ 365 − 415 nm) and the inbuilt CMOS camera of a smartphone.
A self-contained smartphone-based near infrared (NIR) colorimeter is reported for the first time by utilizing the inbuilt NIR emitter (λ ≈ 770-1000 nm) and macro-lens complementary metal-oxide semiconductor (CMOS) camera of the phone.