Our Team

Dr. Shruti Rajendra Kshirsagar is an Assistant Professor and graduate coordinator for the MS in data science program at the School of Computing at Wichita State University. She specializes in Data Science, Deep Learning, Machine Learning, and Speech Signal Processing. Dr. Kshirsagar's research interests extend to Affective Computing, Healthcare and AI, Medical Image Processing, Assistive Technology, human-machine interface, Artificial Intelligence, and Sound Recognition. She earned her PhD in Telecommunications from Institut National de la recherche scientifique (INRS) in Montreal, Canada, where she specialized in Speech & Deep Learning, and data science. She holds a Master's and Bachelor's degree in Electronics & Telecommunication Engineering from the University of Mumbai, with a focus on Communication, statistics, and Signal Processing. At Wichita State University, Dr. Kshirsagar is responsible for teaching and mentoring graduate students, developing and implementing advanced curricula in Deep Learning and Machine Learning. She has significant industry experience, having worked as an Audio R&D Scientist at EERS Global Technologies Inc. in Montreal and as a Machine Learning for Audio Analytics Intern at Robert Bosch Inc. in Mississauga, Canada. Dr. Kshirsagar's exemplary contributions to research have been recognized with several prestigious awards, including the Best Doctoral Thesis Award from INRS. She has also been awarded multiple research grants. Her professional memberships include IEEE Signal Processing Society, IEEE Young Professionals, IEEE Women in Engineering, and the International Speech Communication Association (ISCA), among others. Dr. Kshirsagar's work is widely published in renowned journals and conferences, reflecting her commitment to advancing the fields of Affective computing, deep learning, and signal processing.

Elmira is a PhD student in Computer Science at Wichita State University, specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in the healthcare domain. Under the supervision of Dr. Kshirsagar, her research aims to push the boundaries of AI in healthcare. She hold a master's degree in IT Management from the University of Tehran and a bachelor's degree in IT Engineering from Azad University of Mashhad. With 7 years of professional experience as an SEO Specialist, She bring a unique fusion of technical expertise and real-world application to my innovative research..

Highly dedicated and experienced researcher currently pursuing my PhD with a strong background in deep learning and machine learning . Have been involved in various projects such as Deepfake Detection, ECG classification, PoseNet Estimation, and Sentimental Analysis. I am eager to learn and collaborate with people in various fields. I am passionate about applying my extensive knowledge in this field for the betterment of society

Aishwarya is a first-year PhD researcher specializing in machine learning and deep learning, focusing on detecting audio and multimodal deepfake. My work involves building deep learning models and extracting various features from data.

Vamshi is a PhD researcher and a graduate teaching assistant specializing in machine learning and deep learning applications. His research is focused on Audio Event Detection and Animal Sound Decoding. He is passionate about applying deep learning to solve real-world problems. In his free time, he enjoys exploring science fiction and its intersection with technology..

Fatemeh (Sara) Karji is a master's student in Computer Science at Wichita State University, currently working on her thesis under the guidance of Dr. Shruti Kshirsagar. Her research focuses on brain tumor segmentation, utilizing advanced Deep learning and machine learning techniques to improve diagnostic accuracy.

Bharath Chandra Reddy is a computer science master's thesis student at WSU. He graduated with a bachelor's degree in electronic and communication engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad. He is currently employed by DRAC as a graduate research assistant on a project involving disaster damage assessment. Creating computer vision and deep learning systems for audio event identification is one of his research interests.