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About

Dr. Shruti Patil is an enthusiastic academician and an avid researcher with a contagious positive attitude. She is known as a keen observer who is fiercely creative, loves to take on the challenges and follow the unexplored path. She has been an industry professional in the past, currently associated with Symbiosis Institute of Technology as an Associate Professor and with SCAAI as a research associate. She has expertise in applying innovative technology solutions to real world problems. Her research areas include applied artificial intelligence, natural language processing, acoustic AI, adversarial machine learning, data privacy, digital twin applications, GANS, multimodal data analysis. She is currently working in the application domains of healthcare, sentiment analysis, emotion detection and machine simulation via which she is also guiding several UG, PG and PhD students as a domain expert. She has published research articles in reputed international conferences and Scopus/ web of science indexed journals, books. Dr Shruti has also been invited to deliver talks related with her expertise in various prestigious institutions. Was a part of 8 members team that provided support, maintenance and enhancement for the client survey application developed for Ernst & Young (E&Y), one of the big 4 accounting firm. The portal acted as a online interface for E&Y employees providing access to online surveys, submitting response and preparing reports in more than 30 languages. Specifically worked on developing and maintaining applications in ASP.NET, ensuring compliance with project quality standards & relevant documentation for the project. This required interacting with the client and the project team (located in India, UK & US) on a continuous basis. The application developed included: • Feedback Survey: Comprised of creating the survey for the clients as well as tools for evaluation of the feedback. This required developing online and offline forms, maintaining a database for collating the survey data and developing applications for generating reports as required by E&Y. • Quality and Security Coordinator of the project: This required ensuring compliance of the project to the quality and security policies of the company. Was nominated for Hexaware ACE award for outstanding performance and client appreciation Goal is to excel more into .net technologies and have expertise in that.

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Skills

Experience

Associate Professor & Head of the Department(AI&ML)

Symbiosis Institute of Technology, Symbiosis International (Deemed Uni...

Jun-2013 to Present

Publication

  • dott image January, 2024

Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions

Healthcare institutions are progressively integrating artificial intelligence (AI) into their operations. The extraordinary potential of AI is restricted by insufficient medical data for AI ...

  • dott image August, 2023

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. The majority of these machines comprise rotating components and are called rotating m...

  • dott image June, 2023

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection

Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with humans, and understand their feelings and emotions. With the advent of the Internet, people sh...

  • dott image March, 2023

Reinforcement learning for predictive maintenance: a systematic technical review

The manufacturing world is subject to ever-increasing cost optimization pressures. Maintenance adds to cost and disrupts production; optimized maintenance is therefore of utmost interest. As...

  • dott image October, 2022

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

Rotating machines is an essential part of any manufacturing industry. The sudden breakdown of such machines due to improper maintenance can also lead to the industries' shutdown. The era of ...

  • dott image September, 2022

Explainable Artificial Intelligence for Intrusion Detection System

Intrusion detection systems are widely utilized in the cyber security field, to prevent and mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out o...

  • dott image September, 2022

Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques

Predicting bearing failures is a vital component of machine health monitoring since bearings are essential parts of rotary machines, particularly large motor machines. In addition, determini...

  • dott image August, 2022

AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions

Artificial intelligence is changing the world, especially the interaction between machines and humans. Learning and interpreting natural languages and responding have paved the way for many ...

  • dott image April, 2022

Deep Learning Approaches for Video Compression: A Bibliometric Analysis

Every data and kind of data need a physical drive to store it. There has been an explosion in the volume of images, video, and other similar data types circulated over the internet. Users us...

  • dott image April, 2022

A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions

Artificial Intelligence (AI) has been used for processing data to make decisions, interact with humans, and understand their feelings and emotions. With the advent of the internet, people sh...

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