Swati Dhiman

A meticulous research enthusiast with experience in deep learning, robotics and software development. Excel at managing and working in interdisciplinary research projects. Successfully implemented ten plus technical projects and established several more. A complex problem-solver with analytical and driven mindset and a strong dedication to achieving demanding development objectives according to tight schedules while producing impeccable code.

Cs50x by Harvard

• Autonomous Laboratory Model Vehicle with Fleet Management System: Developing a level four and higher automated laboratory model vehicle using LIDAR , Conceptualizing fleet management to enable the transition from lab model to industrial model
• Emotion recognition using EEG data to study and classify neurodivergence borne personality disorders: Facilitating a goal towards improved neurodivergent healthcare options, Developing a machine learning algorithm for better diagnosis of personality disorders with reduced false positives
• Machine learning for studying neurophysiological correlates of specific genre of music: Developed a machine learning algorithm to study EEG data using convolution neural networks, Aimed at improving the understanding of music generation and composition in the human brain
• Fire Detection using semantic segmentation of images: Analyzed relevant literature and improved the accuracy of a fire detection model using FLAME dataset and tensorflow
• Breast Cancer Detection for benign and malignant tumor: Developed a breast cancer detection algorithm using classification neural networks with an efficiency of 94.72 percent on training dataset
• Customer Segregation Algorithm for post pandemic market: Developed an algorithm using artificial neural networks for financial analysis and prediction of customer expenditure habits in a market with increasing upturn

• Spring Conference, AIMT, 2023 organized by CDLU, Haryana, India and University of Maryland, Virginia, USA : Presented findings on qualitative use of Real time image processing in the industry, Mapped industrial usefulness against variables like research potential, capital, automation benefits and other trade-offs
• Bhartiye Vigyan Samelan, Government of Gujrat, Gujrat, India: Presented a poster on Neuropsychological correlates of raga perception in Indian Classical Music, Accomplished wavelet decomposition of data from MUSIN-G dataset

• Special Mention, TWMUN – IIT Bombay : Presented a country's delegation in MUN and won the award for excellent communication skills and technical writing
• Winner, Karyarachna, techFEST 22 – SLIET : Designed a soil monitoring bot for climate smart agricultural practices and Programmed an algorithm to help maintain native soil health by decentralizing agricultural economy into pockets
• 100 percentile in Science and Social Science, AISSE, 2018 – CBSE
• Gold Medalist, National Children's Science Congress, MHRD, GOI

• techFEST, SLIET, Punjab, India: Volunteering to teach school children about sustainable AI practices in nearby schools as part of the Outreach team
• Community Volunteer, The Raikshin Project, IIT Delhi, India: Volunteered to create awareness about child abuse and trauma rehabilitation in local community
• Project Leader, National Service Scheme, SLIET, Punjab: Established the MUN and Youth Parliament society to increase civic awareness
• Coordinator, Happy Club, Sangrur, Punjab, India: Led menstrual health and mental health awareness campaigns in local secondary school