SHRUTI MAHESHWARI

@sitpune.edu.in

Assistant Professor and Mechanical
Symbiosis Institute of technology, Symbiosis International (Deemed) University

SHRUTI MAHESHWARI


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https://researchid.co/shruti.maheshwari

EDUCATION

PhD (Pursuing) in Mechanical Engineering
17

Scopus Publications

Scopus Publications

  • Effect of heat treatment on the microhardness of Ti-6Al-4V alloy fabricated by laser powder bed fusion and its prediction using machine learning
    Jateen Shirodkar, Shruti Maheshwari, Vijaykumar Jatti, Vikas Gulia
    EPJ Web of Conferences, 2026
    Laser Powder Bed Fusion process of Additive manufacturing has evolved as a game-changing technology for creating highly sophisticated components for automotive, aerospace and medical applications. The impact as well as contribution of LPBF parameters, such as laser power as a source of energy, exposure time and hatch space in developing microhardness for Ti-6Al-4V alloy is explored using a Taguchi-based design of experiments. By employing an orthogonal array, the number of required experimental runs were reduced to nine by ensuring efficient parameter optimization. This study examines the post-processing effect of heat treatment on microhardness of Ti6Al4V alloy specimen, measured using Vickers hardness testing machine. Results obtained have demonstrated a notable hardness improvement after annealing which attributed to microstructural homogenization, reduced porosity and defect mitigation. Among the heat- treated samples, laser power emerged as the most influential parameter, with sample 4S (350 W laser power, 40 µs exposure time, 0.09 mm hatch spacing) achieving the highest microhardness of 543 HV, representing a 20.9% increase over as-built conditions. In the second phase, machine learning algorithms were implemented to develop predictive models of microhardness. The highest accuracy achieved by Random Forest with R 2 =0.91 and Cat boost with R 2 = 0.93 for as build and heat-treated samples respectively. Significant insights into process optimisation and property prediction of Ti-6Al-4V produced using LPBF are offered by this integrated experimental - computational approach.
  • Prediction of Ultimate Tensile Strength of Heat-Treated Additively Manufactured Ti6Al4V Using Machine Learning Regression
    Jateen Shirodkar, Shruti Maheshwari, Vijaykumar Jatti, Vikas Gulia
    Journal of Materials Engineering and Performance, 2026
  • NPC Behavior in Games Using Unity ML-Agents: A Reinforcement Learning Approach
    Revat Meshram, Sachith Krishna, Omkaresh Kulkarni, Rutuja Rajendra Patil, Gagandeep Kaur, Shruti Maheshwari
    2025 International Conference on Automation and Computation Autocom 2025, 2025
    Machine learning is having a significant impact on video games, from speeding up the development of new games to the development of new methods in gaming. This study discusses the impact of using ML models in the development and improvement of video games. Examples cited in this paper relate to the ways in which NPCs behave. With the aid of Unity's ML-Agents toolkit, developers can create NPCs that respond to different strategies in real time. This makes the games more exciting and complex. The paper also outlines the possibilities of single-player games, such as first-person shooters and a role-playing game, to notice NPC behavior during the gameplay. In these gaming styles, RL frameworks can be applied to NPCs to enable them to learn and adapt to the environment to create an interactive experience for the player. The conclusions put an emphasis on the evolution of video games with the advent of ML tools; as predicted, NPC behavior becomes more intuitive and less expected.
  • REFINEMENT OF NANOFLUID COOLING STRATEGIES FOR MAXIMISING EFFICIENCY IN ROTATING DETONATION ENGINES
    Journal of Environmental Protection and Ecology, 2025
  • Medical data analysis and transaction type prediction using machine learning and blockchain technology
    Shruti Maheshwari, Pramod Kumar Jain, Noor T. Al‐Sharify, Swagata Ghosh, Dhanraj Dubey, Gagandeep Kaur
    Iet Blockchain, 2025
    In the world of healthcare, joining machine learning with block chain tech offers a smart path for future predictions. The study aims on guessing what kinds of transactions happen in healthcare data stored on a block chain. Machine learning is used to sort these transactions right. This helps make healthcare tasks work on their own and do better. Health data is taken from block chains, looked at it closely, and ran various algorithms on it. Using features such as operation, date, and symbolic indicators, logistic regression, decision tree, random forest, and support vector machine are applied to classify transaction types. The decision tree algorithm achieved the highest accuracy at 89.29%, followed by random forest at 67.86%, logistic regression at 33.93%, and support vector machine at 39.29%. The findings demonstrate the effectiveness of machine learning in improving transaction classification within secure, decentralized medical data environments.
  • Entrepreneurial development and dynamics: A comprehensive review
    Varun Mundhada, Gagandeep Kaur, Poorva Agrawal, Suhashini Awadhesh Chaurasia, Satyam Kalihari, Vladlen Jayden Rebello, P. D. Shobhane, Latika Pinjarkar, Shruti Maheshwari, Sumukh Chourasia
    Smart Technologies and Innovations in E Business, 2024
    The chapter explores entrepreneurial dynamics and development area. An exploration of entrepreneurial forms: social, scalable, large-scale, and small-business enterprises, accompanied by an up-to-date analysis of country-level startup activities as of 2023. The coexistence of technology and entrepreneurship education is examined, with a specific focus on the symbiotic relationship between digital technology and AI collaboration. The study investigates the dynamics of the entrepreneurial ecosystem and elucidates the evolving characteristics of small businesses. The chapter also addresses various dimensions of franchising model, encompassing perspectives of both franchisors and franchisees and as the multi-unit aspects of this entrepreneurial paradigm. An exhaustive exploration is conducted into pivotal interplay between digital leadership of an entrepreneur and digital success of an entrepreneurial teams, focusing on the role that technological innovation and absorptive capacity play.
  • Analyzing Machine Learning Algorithms applied to HVAC Systems for Sustainability and Efficiency
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Securing the Internet of Things: A Blockchain Paradigm
    Poorva Agrawal, Prathmesh Durge, Ravi Kumar Kushwaha, Gagandeep Kaur, Gopal Kumar Gupta, Shruti Maheshwari
    2024 International Conference on Innovations and Challenges in Emerging Technologies Icicet 2024, 2024
    A global network of “things” that can be virtual or physical and are connected to the internet is known as the Internet of Things (IoT), a relatively new technology. Industry, smart housing, smart health care, smart irrigation, and many other areas are just a few of the many uses for IoT. A big problem is storing all of the massive amounts of data that the sensors produce. IoT devices have significant security and privacy risks since they are dynamic, resource-constrained, and have little processing power. The main obstacles are data privacy, scalability, third-party risk, trusted data origin, and Access control. The major security and privacy concerns related to IoT at various IoT architecture layers are the main emphasis of this article. This study offers Blockchain as a Solution to address these issues. The Internet of Things can be made more secure by using blockchain technology. A blockchain is made up of a series of blocks, each of which has several transactions that record events and keep accurate records of data. It can resolve the problems that IoT is facing. However, due to differences between Blockchain and IoT, it also faces numerous constraints. This study outlines the difficulties in mixing blockchain technology with the Internet of Things and explores a few unresolved concerns, laying the foundation for future research directions.
  • A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It
    Gagandeep Kaur, Rashi Pande, Ritika Mohan, Shlok Vij, Poorva Agrawal, Purushottam Shobhane, Latika Pinjarkar, Shruti Maheshwari, Pooja Bagane
    Engineering Proceedings, 2024
    : There has been widespread interest in the concept of the metaverse in recent years. The aim of this comprehensive review paper is to provide an in-depth analysis of the taxonomy, technological foundations, and historical evolution of the metaverse. The study explores both the positive and negative dimensions of the metaverse, including ethical dilemmas, using a robust analytical framework. In addition to studying the metaverse’s impact on various sectors of society and the economy, this study offers an insight into how it will develop in the coming years. A notable highlight is the exploration of the estimated revenue forecast for metaverse money-making, projecting a substantial 40 billion USD by the 2030s. Further, the paper examines cyberbullying within the metaverse, shedding light on the unique challenges it poses. The hype surrounding the metaverse has also been analyzed, as well as its implications for the broader technological landscape.
  • Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime
    Gagandeep Kaur, Utkarsha Bonde, Kunjal Lalit Pise, Shruti Yewale, Poorva Agrawal, Purushottam Shobhane, Shruti Maheshwari, Latika Pinjarkar, Rupali Gangarde
    Engineering Proceedings, 2024
    There are very renowned social media platforms like Instagram, Twitter, Facebook, etc., with each of which being used by different shareholders across the world to communicate with each other. Social media is a pool of online communication platforms that are based on community input, content sharing, and collaborations. The way we communicate, share information, and connect with other people has been revolutionized by social media. This has led to a series of benefits but also posed many challenges, especially in cybersecurity. This paper investigates the varied influences of social media, examining both its good and negative consequences across a variety of industries. It focuses specifically on the cybersecurity concerns posed by the growing usage of social media, shedding light on the vulnerabilities encountered by individuals and organizations. This investigation includes a study of common cybercrimes like phishing, social engineering, burglary via social networking, virus attacks, cyberstalking, identity theft, and cybercasing. This study emphasizes the importance of a complete and targeted cybersecurity approach that includes preventive measures such as privacy enhancements, user training, sophisticated email filtering, robust authentication, and encryption technologies. Individuals and organizations can traverse the evolving social media ecosystem with greater cyber resilience by addressing these challenges and using proactive tactics.
  • Synthesis and Characterization of Hybrid Polymer Composite: An Experimental Approach
    Vikas Gulia, Savita V. Jatti, Vinay S. Jatti, Shruti Maheshwari, Nitin S. Solke
    E3s Web of Conferences, 2023
  • Comparative Analysis of Optimization Algorithms for Energy Consumption Minimization in HVAC Systems
    Shruti Maheshwari, Dhanraj Shivendrakumar Dubey, Vikas Gulia, Nitin Solke
    ACM International Conference Proceeding Series, 2023
  • Route Optimization of Mobile Medical Unit with Reinforcement Learning
    Shruti Maheshwari, Pramod Kumar Jain, Ketan Kotecha
    Sustainability Switzerland, 2023
  • Bibliometric Survey on Supply Chain in Healthcare using Artificial Intelligence
    Library Philosophy and Practice, 2020
  • Literature review on analysis of wheel loader and its various components
    Akshay K. Rane, Satish Kumar, Shruti Maheshwari
    Materials Today Proceedings, 2018
  • Literature review on analysis of various Components of McPherson suspension
    Saurabh D. Shinde, Shruti Maheshwari, Satish Kumar
    Materials Today Proceedings, 2018
  • Literature review on analysis of various components of IC engine
    Saurabh P. Jangam, Satish Kumar, Shruti Maheshwari
    Materials Today Proceedings, 2018