Associate Professor, Department of Electronics Communication Engineering Siddhartha Academy of Higher Education (deemed to be university), Andhra Pradesh
Associate Professor Department of Electronics Communication Engineering Vidyanikethan Engineering College Tirupati
Assistant Professor Department of Electronics and Telecommunication ADCET Maharasta, India
Assitant Professor Department of Electronics and Telecommunication Engineering SVERI Maharastra India
Research Interest
I am actively involved in the fabrication of chemical sensors using metal-organic frameworks (MOFs) for the detection of volatile organic compounds (VOCs) present in human breath.
This research supports non-invasive medical diagnostics, particularly for distinguishing breast cancer patients from healthy individuals.
By integrating machine learning algorithms with sensor data, I aim to improve classification accuracy and enable early disease detection.On the computational side, I use Density Functional Theory (DFT), implemented through Quantum ESPRESSO, to investigate the electronic properties of semiconductor materials.
My simulations focus on metal–semiconductor interfaces and alloy systems, providing theoretical insights that support experimental design and material optimization.I welcome collaborations in cutting-edge areas of nanomaterials, sensors, and computational materials science to explore new frontiers and create impactful solutions for science and society.
Awards
MHRD Fellowship for M.Tech Course
MHRD Fellowship for Ph.D
Best reviewer award
Memberships
APS Member
IOP Member
Publications
Patents
Projects
Scholars
Interests
Nanoelectronics
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Research Area
No research areas found for this faculty.
Education
2007
B.Tech
VBS PU
2009
M.Tech
IIT BHU Varanasi
India
2014
PhD
IIT (BHU) Varanasi
India
Experience
SRM University-AP, Andhra Pradesh
Associate Professor, Department of Electronics Communication Engineering Siddhartha Academy of Higher Education (deemed to be university), Andhra Pradesh
Associate Professor Department of Electronics Communication Engineering Vidyanikethan Engineering College Tirupati
Assistant Professor Department of Electronics and Telecommunication ADCET Maharasta, India
Assitant Professor Department of Electronics and Telecommunication Engineering SVERI Maharastra India
Research Interests
I am actively involved in the fabrication of chemical sensors using metal-organic frameworks (MOFs) for the detection of volatile organic compounds (VOCs) present in human breath.
This research supports non-invasive medical diagnostics, particularly for distinguishing breast cancer patients from healthy individuals.
By integrating machine learning algorithms with sensor data, I aim to improve classification accuracy and enable early disease detection.On the computational side, I use Density Functional Theory (DFT), implemented through Quantum ESPRESSO, to investigate the electronic properties of semiconductor materials.
My simulations focus on metal–semiconductor interfaces and alloy systems, providing theoretical insights that support experimental design and material optimization.I welcome collaborations in cutting-edge areas of nanomaterials, sensors, and computational materials science to explore new frontiers and create impactful solutions for science and society.
Associate Professor, Department of Electronics Communication Engineering Siddhartha Academy of Higher Education (deemed to be university), Andhra Pradesh
Associate Professor Department of Electronics Communication Engineering Vidyanikethan Engineering College Tirupati
Assistant Professor Department of Electronics and Telecommunication ADCET Maharasta, India
Assitant Professor Department of Electronics and Telecommunication Engineering SVERI Maharastra India
Research Interests
I am actively involved in the fabrication of chemical sensors using metal-organic frameworks (MOFs) for the detection of volatile organic compounds (VOCs) present in human breath.
This research supports non-invasive medical diagnostics, particularly for distinguishing breast cancer patients from healthy individuals.
By integrating machine learning algorithms with sensor data, I aim to improve classification accuracy and enable early disease detection.On the computational side, I use Density Functional Theory (DFT), implemented through Quantum ESPRESSO, to investigate the electronic properties of semiconductor materials.
My simulations focus on metal–semiconductor interfaces and alloy systems, providing theoretical insights that support experimental design and material optimization.I welcome collaborations in cutting-edge areas of nanomaterials, sensors, and computational materials science to explore new frontiers and create impactful solutions for science and society.
