Mars Colonization

The universe, from its farthest ends to our galaxy is made of numerous celestial bodies that although are so disparate in properties, hold the capability of appealing in their unique way. For as long as we can remember, human life has inhabited the most precisely positioned planet, Earth. Although we cannot be more humbled for all that Earth has provided us with, the expansion of the human race is necessary for it to not be a lone life supporting planet. As the saying goes what we have been searching for is right under our nose, the answer to our conundrum is our very neighbor, the red planet-Mars. This planet is subject with significant proximity and similarities with Earth which make it the closest candidate holding the potential to sustain human life. This paper will be dealing with the conceptual design for the first settlement on Mars

Air Pollution Detection

Air pollution has emerged as a global problem in recent years. Particularly, particulate matte with a diameter of less than 10 μm can move through the air and transfer dangerous compounds to the lungs through human breathing, thereby creating major health issues. This research proposes a large-scale, low-cost solution for detecting air pollution by combining hyperspectral imaging technology and deep learning techniques.

2-D materials and it's applications

Molybdenum disulfide (MoS2) is one of the two-dimensional (2D) transition metal chalcogenides that have been studied recently which is low-cost and does not require complex preparation. MoS2/Cu2O PN heterojunction structure can reduce the predominant disadvantage of noise interference to the detection signal through different growth methods, material special characteristics, and the structure itself. The major application of this heterostructure is to develop a low-cost and rapid way to detect cancer cell by fabricating a PEC biosensor that is highly sensitive to cancer cells significantly reducing the current busy procedures and longer waiting time for detection.

Counterfeit Applications

One of the challenges in differentiating a duplicate hologram from an original one is reflectivity. A slight change in lighting condition will completely change the reflection pattern exhibited by a hologram, and consequently, a standardized duplicate hologram detector has not yet been created. In this study, a portable and low-cost snapshot hyperspectral imaging algorithm-based housing module for differentiating between original and duplicate holograms was proposed. The module consisted of a Raspberry Pi 4 processor, a Raspberry Pi camera, a display, and a light-emitting diode lighting system with a dimmer. The same module, algorithm and method can also be used to detect counterfeit currencies and verify the credits cards based on the holograms present in it.

Esophageal Cancer Detection

Esophageal cancer can be regarded as the least researched and one of the deadliest cancers around the globe. It is the eighth most common cancer and the sixth most common cause of cancer death and endoscopists are unable to draw conclusions from the images of esophageal cancer. This also causes early symptoms to be easily overlooked. This project uses hyperspectral imaging and a deep learning diagnosis model that can identify the stage of esophageal cancer and mark the locations by simulating the spectrum data from the image using an algorithm developed in this research which is combined with deep learning for the classification and diagnosis.