Jan 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Oct 2023 – Jan 2024 · 3 mos · Bengaluru, Karnataka, India

Apr 2023 – Oct 2023 · 6 mos · Bengaluru, Karnataka, India

Apr 2022 – Apr 2023 · 1 yr · Bengaluru, Karnataka, India

May 2017 – Jul 2017 · 2 mos · Greater Jaipur Area

• We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications.
• The code has been tested using the JAFFE Database, available at http://www.kasrl.org/jaffe.html.
• Faculty Mentor -
• Dr. Joyeeta Singha
• Assistant Professor, Department of ECE
• The LNM Institute of Information Technology
• Jaipur, Rajasthan

May 2016 – Jul 2016 · 2 mos · Greater Jaipur Area

• Matlab-Based Computer-Aided-Design Algorithm for Designing Stepped-Impedance Resonator Low-Pass Filters in Microstrip Technology -
• An accurate Matlab-based CAD algorithm for quickly designing microstrip-based stepped-impedance resonator (SIR) low-pass filter is reported. The algorithm uses a circuit-theory approach to implement speedy computations, compared to the time-consuming computations involved in using electromagnetic theory. The accuracy of the proposed algorithm is verified for two widely-different practical examples in the 0-4GHz frequency range, against results obtained using Ansoft/Ansys circuit simulation tool, and against results obtained using the 3D electromagnetic simulator HFSS. The agreement among the three sets of data is seen to be excellent for most cases, and is found to be practically acceptable even in the worst-cases.
• Faculty Mentor -
• Prof. Raghuvir Tomar, Ph.D.
• (formerly with Canadian/American Hi-Tech Industry for two decades)
• Dean, Research and Development
• Chair, Information Technology Committee (IT Committee)
• Chair, Internal Quality Assurance Cell (IQAC)
• Chair, Academic Council Post Graduate Committee (AC-PGC)

May 2017 – Jul 2017 · 2 mos · Greater Jaipur Area