Research Interests

Organic Photofunctional Materials and Devices (Major Research Themes:）
Next Generation Solar Cells: MOTO:Printable Next Generation Solar Cells utilizing Nanotechnology! Fast pace depletion of fossil fuels along with the serious concen on green house gas emisson have compelled us for the utilization of Renewable Energy as one of the amicable solutions.       　    This reserach group is determined and dedicated to step forward towards the development next generation solar cells as futuristic and low cost substitute for currently emplyted silicon based slar cells。 Organic Electronic Devices: MOTO:Printable, flexible and low power consumption electronic devices using organic semiconductors and facile marterial processing! Miniatirization of electronic devices with increasing functionality and need of their diverse applications due to urgent need for IOT sensing elements demands for the development of printable flexible electronic devices with ultra low cost with minimum adverse effect on the environment. Our group is dedicated to the development novel and cheap material processing techniques, design and development of novel organic semiconductors (small molecule and polymers) aming towards fabrication of efficient organic electronic device elements. Bio-Image Sensor: MOTO:Highly efficient and multimodel simultaneous detection of biological elements utilizing synergy of NIR dyes, FRET and organic electronics!    Increasing world population in conjunction with standard of life aiming towards early diseage diagnosis to support health-care, Biosensors have emurged as one of the amicable solutiuons in the area of Point-of-Care-Testing (POCT) devices. In order to achieve this goal there is a need for removal of prior sample processing with fast and efficient (ultra low concentration) detection of desease causative biological elements. We are enganed in the design and development wavelength tunable NIR dyes for their application in diverse areas of apploication. Probing the wavelength tunable sensing and detection in the NIR region also known as diagnostic window (650 nm-900 nm) is expected to lead to development highly effecient Bio-Image sensing with fast, ultrasensitive and parallel detection of multiple biological elements for early disease diagnosis by florescence image pattern mapping.
Expected Candidates for the Research Candidates having backgrounds of Chemistry(Organic/Inorganic), Materials, Electronics, Electrical, Mechanical and Information Science etc. Candidates from all of the disciplines of Engineering.
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