Prof.Dr. Avinash M. Pawar

@coewpune.bharatividyapeeth.edu

Vice Principal, Associate Professor and Head of the Department
BHARATI VIDYAPEETH'S COLLEGE OF ENGINEEING FOR WOMEN

Prof.Dr. Avinash M. Pawar


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https://researchid.co/avinash.m.pawar

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Artificial Intelligence, Materials Science, Modeling and Simulation
24

Scopus Publications

244

Scholar Citations

9

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • AI-Driven Incident Response Systems for Cybersecurity: A Hybrid Approach
    Monika Soni, Avinash M. Pawar, Aditee Godbole, Ashutosh Sharma, S. A. Tiwaskar, Chandrakant Deelip Kokane
    Smart Innovation Systems and Technologies, 2025
  • Mathematical Approaches to Circuit Optimization in VLSI Design
    Rajesh Kedarnath Navandar
    Advances in Nonlinear Variational Inequalities, 2025
    Exceptionally Huge Scale Integration (VLSI) plan is continuously trying to find ways to improve circuit speed, lower control utilize, and make the finest utilize of space. A big portion of coming to these objectives is utilizing numerical strategies, which allow organized ways to form circuits work way better. This paper looks at a number of distinctive numerical methods and how they can be utilized in VLSI plan. It centers on how well these strategies can progress the value and productivity of circuits. Optimization calculations, like mimicked toughening, hereditary calculations, and molecule swarm optimization, are a prevalent way to see at math issues. Iteratively investigating plan regions is how these strategies discover combinations that grant superior execution measures, such as speed, control, and zone. Case considers appear that they are great at moving forward complicated circuits, appearing enormous picks up in plan parameters compared to old-fashioned heuristic strategies. Scientific modeling is additionally exceptionally imperative for accurately appearing how a circuit will work and anticipating execution measurements some time recently the genuine application. Direct programming and numbers programming are two strategies that offer assistance software engineers set limits and objectives, which leads to superior circuit structure and asset allotment. These models offer assistance individuals make choices by giving them numbers that appear the trade-offs between diverse plan objectives, like speed vs. power consumption or range minimization. Utilizing huge information sets and prescient analytics, machine learning procedures have moreover changed optimization strategies since they were included to VLSI plan.
  • Game Theory Applications in Smart Grid Energy Management
    Rajendra V. Patil
    Advances in Nonlinear Variational Inequalities, 2025
    Diversion hypothesis has ended up a valuable way to portray and make strides complicated connections in numerous zones, such as savvy framework vitality administration. When it comes to savvy lattice operations, the truth that vitality generation, exchange, and utilize are all energetic and separated makes huge issues that are difficult to fathom with standard controlled strategies. This outline looks at how amusement hypothesis can be utilized to assist individuals make better decisions and make the leading utilize of assets in savvy framework settings. The most objective is to figure out how game-theoretic models can offer assistance with productive vitality management by looking at how diverse parties, like clients, providers, and lattice administrators, will act in numerous circumstances. Regularly, these bunches have objectives that are at chances with each other, like minimizing costs, making as much cash as possible, and ensuring the environment. Amusement hypothesis lets us see at these trades as in case they were arranged recreations, with each individual attempting to get the foremost out of the diversion by altering their claim choices and the activities of others. Key thoughts from diversion hypothesis, like Nash harmony, agreeable and non-cooperative diversions, and component plan, are utilized to come up with keen framework operations procedures that are both reasonable and proficient. Nash balance could be a key thought for a arrangement where no individual can pick up by changing their arrange on their possess. This provides security in independent decision-making. In addition, the abstract talks about a number of case studies and uses where game theory has been used successfully in smart grids. Some of these are demand response programs, energy trade markets, and making the best use of integrating green energy. By making these events into games, parties can plan for and deal with problems like grid instability, price changes, and traffic jams. The outline also talks about problems that are still being researched and where the field might go in the future. These include making game-theoretic models work on large-scale smart grid networks, using real-time data analytics to help people make better decisions, and using machine learning to make predictions more accurate.
  • A Novel NSGA-II Approaches for Combating Advanced Persistent Threats with Machine Learning
    Monika Soni, Avinash M. Pawar, Deepti Khubalkar, Ankit Kumar Tanjeja, V. A. Mishra, Tushar Satish Waykole
    Smart Innovation Systems and Technologies, 2025
  • Decoding Public Reactions to Tax Policy Reforms Using BERT-Based Sentiment Analysis
    Gauri R. Rao, Sheetal S. Patil, Avinash M. Pawar, Supriya Suresh Ray, Ritesh Bharat Thange, Atharva Kumar Yadav, Manas Naveen Agnihotri
    2025 2nd International Conference on Integration of Computational Intelligent System Icicis 2025, 2025
    The Union Budget of India exerts a substantial influence on the national economy, shaping both sectoral growth and citizen welfare. This study presents a real-time sentiment analysis of public responses to the Indian budget using Twitter data. A dataset comprising 9,780 tweets was processed through advanced natural language processing (NLP) techniques in Python, including stopword removal and normalization for improved data quality. Sentiments were classified into positive, negative, and neutral categories. A deep learning model based on Bidirectional Encoder Representations from Transformers (BERT) was employed to capture contextual sentiment polarity. The proposed BERT-based model achieved an accuracy of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$9 2. 8 4 \%$</tex>, surpassing conventional lexicon-based approaches (82.4 %) by 10.44 %. Results indicate a balanced distribution of sentiments, with positive reactions primarily associated with social welfare policies and tax reforms, while concerns over fiscal deficits and inflation drove negative sentiment. The study underscores the effectiveness of transformer-based NLP frameworks for large-scale public opinion mining, offering actionable insights for policymakers in data-driven economic decision-making.
  • Agriassist - Smart Agriculture Chatbot
    Sheetal S. Patil, Gauri R. Rao, Avinash M. Pawar, Suresh Kumar Ray, Arpit Raj, Vedang Sherpura, Aniket Sharma, Harsh Vardhan
    2025 2nd International Conference on Integration of Computational Intelligent System Icicis 2025, 2025
    Farmers and agricultural enterprises are under threat from all kinds of risks, such as environmental threats, biological risks, market competition, economic risks, policy changes, outsourcing risks, cyber security threats and agricultural market threats. AgriAssist is addressing these challenges by using artificial intelligence, which has given chatbots the ability to take on more complex tasks-by providing timely and accurate information on farming methods, pest control, climate forecasts, and market dynamics, allowing farmers to make better-informed decisions, minimize potential risks, and increase agricultural production. Deep Learning, Machine Learning, Natural Language Processing, this project Uses these Methods From deep learning for advanced language understanding and feedback loops for continual improvement, AgriAssist also ensures versatility in the wake of evolving agricultural challenges. Its multilingual communication eliminates communication barriers, promoting inclusivity in many farming communities. Improvements like precision agriculture technologies could support data-driven insights and more intelligent decision making in the future. The ultimate objective of AgriAssist is to revolutionize Indian agriculture and make it resilient, sustainable and stress free.
  • Adaptive Energy Management System for Electric Vehicle Charging Stations: Leveraging AI for Real-Time Grid Stabilization and Efficiency
    Ali Bostani, Kushagra Kulshreshtha, A.A. Agarkar, K. Karthika, K. Sarathy, Avinash M. Pawar, B. Ashreetha
    E3s Web of Conferences, 2024
    The increasing demand for electric vehicles (EVs) presents significant challenges for energy grids, particularly in balancing demand and supply during peak charging periods. This paper proposes an Adaptive Energy Management System (EMS) for EV charging stations that leverages artificial intelligence (AI) techniques to optimize power distribution and enhance grid stability. By integrating fuzzy logic and reinforcement learning algorithms, the proposed system dynamically adjusts charging power allocation based on real-time grid conditions and EV battery levels. The EMS ensures efficient energy use, minimizes grid overload risks, and enables seamless integration with renewable energy sources. Simulation results demonstrate the system’s ability to maintain grid stability while maximizing charging efficiency. This adaptive approach paves the way for future smart grid applications, offering scalability and robustness for large-scale EV deployments.
  • Innovative Control Approaches for Efficient Power Management in Hybrid Renewable Energy Resource Microgrids
    B. Rubini, Saloni Bansal, Dhiraj Jadhav, K.K. Senthilkumar, R. Dhilipkumar, Avinash M. Pawar, V. Vivek
    E3s Web of Conferences, 2024
    Hybrid renewable energy resource (RER) microgrids offer a sustainable solution to integrating multiple energy sources like solar and wind into modern power systems. However, managing the intermittent nature of these resources presents significant challenges in maintaining stable and efficient power distribution. This study explores innovative control approaches for optimizing power management in hybrid RER microgrids. By utilizing advanced algorithms, including real-time optimization and machine learning techniques, the proposed framework ensures efficient energy distribution, reduces dependency on the grid, and enhances system stability. The research focuses on integrating these control strategies to balance energy supply and demand while maximizing the utilization of renewable energy sources. Simulation results demonstrate the effectiveness of the proposed methods in improving system efficiency and reliability under varying environmental conditions, contributing to the broader adoption of hybrid RER microgrids.
  • Validation of effect of composite additive on optimized combustion characteristics of CI engine using AHP and GRA method
    Amit R. Patil, S.A. Patil, Rupali Patil, A.M. Pawar, V.N. Chougule, Kareem AboRas
    Heliyon, 2024
    The primary focus of this study is the validation of composite additives with the help of additional optimization methods and the analysis of its effect on the combustion characteristics of compression ignition (CI) engines. Previous work on the identification of the correct multi additive combination by Taguchi and the TOPSIS optimization method has shown substantial improvements in the performance and emission characteristics of CI engines. The same work was extended using the GRA Optimization method with the Multi-Criteria Decision-Making (MCDM) optimization technique known as the Analytic Hierarchy Process (AHP) to validate the optimization results from the previous optimization work. Remarkably, all optimization methods yielded consistent results, pointing to the superiority of the composite additive sample 'D8EH6E4 hence supporting the outcome of previous work. Subsequent testing and comparison of this novel composite additive with baseline diesel fuel for combustion characteristics analysis demonstrated notable improvements in combustion parameters, including a 25 % reduction in the rate of pressure rise, an 18 % decrease in net heat release rate, and a 6 % decrease in mean gas temperature.
  • Transparency in Algorithmic Decision-making: Interpretable Models for Ethical Accountability
    Jambi Ratna Raja Kumar, Aarti Kalnawat, Avinash M. Pawar, Varsha D. Jadhav, P. Srilatha, Vinit Khetani
    E3s Web of Conferences, 2024
    Concerns regarding their opacity and potential ethical ramifications have been raised by the spread of algorithmic decisionmaking systems across a variety of fields. By promoting the use of interpretable machine learning models, this research addresses the critical requirement for openness and moral responsibility in these systems. Interpretable models provide a transparent and intelligible depiction of how decisions are made, as opposed to complicated black-box algorithms. Users and stakeholders need this openness in order to understand, verify, and hold accountable the decisions made by these algorithms. Furthermore, interpretability promotes fairness in algorithmic results by making it easier to detect and reduce biases. In this article, we give an overview of the difficulties brought on by algorithmic opacity, highlighting how crucial it is to solve these difficulties in a variety of settings, including those involving healthcare, banking, criminal justice, and more. From linear models to rule-based systems to surrogate models, we give a thorough analysis of interpretable machine learning techniques, highlighting their benefits and drawbacks. We suggest that incorporating interpretable models into the design and use of algorithms can result in a more responsible and moral application of AI in society, ultimately benefiting people and communities while lowering the risks connected to opaque decision-making processes.
  • Diabetes prediction and drug administration using knowledge engineering approach
    Netra Patil, Naveenkumar Jayakumar, Sheetal S. Patil, Avinash M. Pawar, Amol Kadam
    Aip Conference Proceedings, 2023
  • Medicinal plant identification using convolutional neural network
    Sheetal S. Patil, Suhas H. Patil, Fawaz Nabeel Azfar, Avinash M. Pawar, Saurabh Kumar, Ishant Patel
    Aip Conference Proceedings, 2023
  • Face recognition using open CV and VGG 16 transfer learning
    Mrunal Bewoor, Sheetal Patil, Saumya Kushwaha, Sparsh Tandon, Siddharth Trivedi, Avinash Pawar
    Aip Conference Proceedings, 2023
  • Comprehensive review about automatic classification of medicinal plants
    Sheetal S. Patil, S. H. Patil, Avinash M. Pawar, Mrunal S. Bewoor, Netra S. Patil
    Aip Conference Proceedings, 2023
  • Music Generation Using RNN-LSTM with GRU
    Sheetal S. Patil, Suhas H. Patil, Avinash M. Pawar, Rudreshwar Shandilya, Amol K. Kadam, Rohini B. Jadhav, Mrunal S. Bewoor
    2023 International Conference on Integration of Computational Intelligent System Icicis 2023, 2023
  • Vehicle Number Plate Detection using YoloV8 and EasyOCR
    Sheetal S. Patil, Suhas H. Patil, Avinash M. Pawar, Mrunal S. Bewoor, Amol K. Kadam, Uday C. Patkar, Kiran Wadare, Siddhant Sharma
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • Experimental investigation on the effect of optimized dimethyl carbonate on CI engine performance & Emissions at various engine operating parameters using Taguchi method
    Amit R. Patil, Rupa S. Bindu, Avinash M. Pawar, Nitin D. Pagar, Bhushan D. Nandre
    Aip Conference Proceedings, 2022
  • Automatic Classification of Medicinal Plants Using State-Of-The-Art Pre-Trained Neural Networks
    Journal of Advanced Zoology, 2022
  • Employee Churn walkthrough using KNN
    Sheetal S. Patil, S. H. Patil, Avinash M. Pawar, Piyush Kumar Pandey, Swastik Sharma, M. S. Bewoor
    2022 2nd Asian Conference on Innovation in Technology Asiancon 2022, 2022
  • Tulsi Leaf Disease Detection using CNN
    Sheetal S. Patil, S. H. Patil, Akhil Bhall, Amay Rajvaidya, Himanshu Sehrawat, Avinash M. Pawar, Drishti Agarwal
    2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2022, 2022
  • Heat transfer enhancement of receiver tube with twisted tape inserts and vortex generator at different orientation using CFD analysis
    International Journal of Advanced Science and Technology, 2020
  • Synthesis of biofunctionalized nanofibers (curcumin, gelatin and formic acid) using electrospinning process and optimization of parameters for diameter of nanofibers
    Sachin Chavan, Pramod V. Londhe, Avinash M. Pawar, Sachin Shendokar, T Ondarcuhut, et al.
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • An innovative simulation approach to improve the electrochemical machining performance
    International Journal of Mechanical Engineering and Technology, 2018
  • Electrochemistry in electrochemical machining process
    Journal of Advanced Research in Dynamical and Control Systems, 2018

RECENT SCHOLAR PUBLICATIONS

  • Assessing the impact of investment levels on power system security enhancements and substation automation upgrades
    AM Pawar
    Journal of Information and Optimization Sciences Print ISSN: 0252-2667 … , 2026
    2026
  • Analyzing the long-term impact of financial investment on the security and efficiency of computer networks
    AM Pawar
    Journal of Information and Optimization Sciences Print ISSN: 0252-2667 … , 2026
    2026
  • Comparative Evaluation of Passive and Active Cooling Strategies for Battery Thermal Management Using PCM, Air, and Fin-Based Systems
    AM Pawar
    Proceedings of the ‘Engineering Advances 2025: Second International … , 2025
    2025
  • Decoding Public Reactions to Tax Policy Reforms Using BERT-Based Sentiment Analysis
    GR Rao, SS Patil, AM Pawar, SS Ray, RB Thange, AK Yadav, ...
    2025 2nd International Conference on Integration of Computational … , 2025
    2025
  • Agriassist-Smart Agriculture Chatbot
    SS Patil, GR Rao, AM Pawar, SK Ray, A Raj, V Sherpura, A Sharma, ...
    2025 2nd International Conference on Integration of Computational … , 2025
    2025
    Citations: 1
  • Polymer-Based Film Coatings for Enhancing Drug Stability and Shelf-Lif
    AM Pawar
    Journal of Polymer and Composites 13 (4), 558-570 , 2025
    2025
  • A Novel NSGA-II Approaches for Combating Advanced Persistent
    M Soni, AM Pawar, D Khubalkar, AK Tanjeja
    Intelligent Data Engineering and Analytics: Proceedings of the 12th … , 2025
    2025
  • Biopolymer-Based Nanocomposites for Oral Drug Delivery
    AM Pawar
    Journal of Polymer and Composites. 2025; 13(04):400-412. , 2025
    2025
  • Intelligent Health Management Systems: Leveraging Information Systems for Real-Time Patient Monitoring and Diagnosis
    KP Kamble, P Khobragade, N Chakole, P Verma, D Dhabliya, AM Pawar
    Journal of Information Systems Engineering and Management 10 (1), 2468-4376 , 2025
    2025
    Citations: 20
  • Validation of effect of composite additive on optimized combustion characteristics of CI engine using AHP and GRA method
    AR Patil, SA Patil, R Patil, AM Pawar, VN Chougule, K AboRas
    Heliyon 10 (15) , 2024
    2024
    Citations: 9
  • AI-Driven Incident Response Systems for Cybersecurity: A Hybrid Approach
    M Soni, AM Pawar, A Godbole, A Sharma, SA Tiwaskar, CD Kokane
    International Conference on Frontiers of Intelligent Computing: Theory and … , 2024
    2024
  • A Novel NSGA-II Approaches for Combating Advanced Persistent Threats with Machine Learning
    M Soni, AM Pawar, D Khubalkar, AK Tanjeja, VA Mishra, TS Waykole
    International Conference on Frontiers of Intelligent Computing: Theory and … , 2024
    2024
  • " Empirical Analysis of Transformer Models and Pretrained Convolutional Neural Networks for Medicinal Plant Identification and Classification".
    SS Patil, SH Patil, AM Pawar, GR Rao, RB Jadhav, D Dhabliya
    Frontiers in Health Informatics 13 (2) , 2024
    2024
    Citations: 2
  • Innovative Control Approaches for Efficient Power Management in Hybrid Renewable Energy Resource Microgrids
    B Rubini, S Bansal, D Jadhav, KK Senthilkumar, R Dhilipkumar, ...
    E3S Web of Conferences 591, 05003 , 2024
    2024
  • Adaptive energy management system for electric vehicle charging stations: leveraging AI for real-time grid stabilization and efficiency
    A Bostani, K Kulshreshtha, AA Agarkar, K Karthika, K Sarathy, AM Pawar, ...
    E3S Web of conferences 591, 04002 , 2024
    2024
    Citations: 9
  • Transparency in algorithmic decision-making: Interpretable models for ethical accountability
    JR Raja Kumar, A Kalnawat, AM Pawar, VD Jadhav, P Srilatha, V Khetani
    E3S web of conferences 491, 02041 , 2024
    2024
    Citations: 28
  • Music Generation using RNN-LSTM with GRU
    MSS Patil, SH Patil, AM Pawar, MR Shandilya, AK Kadam, RB Jadhav, ...
    2023
    Citations: 8
  • Application of phase change material (PCM) in battery thermal management system (BTMS): A critical review
    SK Maknikar, AM Pawar
    Materials Today: Proceedings , 2023
    2023
    Citations: 47
  • Face recognition using open CV and VGG 16 transfer learning
    M Bewoor, S Patil, S Kushwaha, S Tandon, S Trivedi, A Pawar
    AIP Conference Proceedings 2890 (1), 020019 , 2023
    2023
    Citations: 8
  • Medicinal plant identification using convolutional neural network
    SS Patil, SH Patil, FN Azfar, AM Pawar, S Kumar, I Patel
    AIP Conference Proceedings 2890 (1), 020023 , 2023
    2023
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Application of phase change material (PCM) in battery thermal management system (BTMS): A critical review
    SK Maknikar, AM Pawar
    Materials Today: Proceedings , 2023
    2023
    Citations: 47
  • Vehicle number plate detection using yolov8 and easyocr
    SS Patil, SH Patil, AM Pawar, MS Bewoor, AK Kadam, UC Patkar, ...
    2023 14th International conference on computing communication and networking … , 2023
    2023
    Citations: 30
  • Transparency in algorithmic decision-making: Interpretable models for ethical accountability
    JR Raja Kumar, A Kalnawat, AM Pawar, VD Jadhav, P Srilatha, V Khetani
    E3S web of conferences 491, 02041 , 2024
    2024
    Citations: 28
  • Intelligent Health Management Systems: Leveraging Information Systems for Real-Time Patient Monitoring and Diagnosis
    KP Kamble, P Khobragade, N Chakole, P Verma, D Dhabliya, AM Pawar
    Journal of Information Systems Engineering and Management 10 (1), 2468-4376 , 2025
    2025
    Citations: 20
  • Validation of effect of composite additive on optimized combustion characteristics of CI engine using AHP and GRA method
    AR Patil, SA Patil, R Patil, AM Pawar, VN Chougule, K AboRas
    Heliyon 10 (15) , 2024
    2024
    Citations: 9
  • Adaptive energy management system for electric vehicle charging stations: leveraging AI for real-time grid stabilization and efficiency
    A Bostani, K Kulshreshtha, AA Agarkar, K Karthika, K Sarathy, AM Pawar, ...
    E3S Web of conferences 591, 04002 , 2024
    2024
    Citations: 9
  • Tulsi Leaf Disease Detection using CNN
    SS Patil, SH Patil, A Bhall, A Rajvaidya, H Sehrawat, AM Pawar, ...
    2022 IEEE Conference on Interdisciplinary Approaches in Technology and … , 2022
    2022
    Citations: 9
  • Experimental investigation on the effect of optimized dimethyl carbonate on CI engine performance & Emissions at various engine operating parameters using Taguchi method
    AM Pawar
    AIP Conference Proceedings 2469, 020030 (2022) 2469 (01), 020030-1-020030-14 , 2022
    2022
    Citations: 9
  • Development and Verification of Material Plasma Exposure Concepts
    A Pawar
    Development 9 (03) , 2020
    2020
    Citations: 9
  • Music Generation using RNN-LSTM with GRU
    MSS Patil, SH Patil, AM Pawar, MR Shandilya, AK Kadam, RB Jadhav, ...
    2023
    Citations: 8
  • Face recognition using open CV and VGG 16 transfer learning
    M Bewoor, S Patil, S Kushwaha, S Tandon, S Trivedi, A Pawar
    AIP Conference Proceedings 2890 (1), 020019 , 2023
    2023
    Citations: 8
  • Employee churn walkthrough using KNN
    SS Patil, SH Patil, AM Pawar, PK Pandey, S Sharma, MS Bewoor
    2022 2nd Asian conference on innovation in technology (ASIANCON), 1-4 , 2022
    2022
    Citations: 8
  • Text Summarizer using NLP (Natural Language Processing)
    S Patil, A Pawar, S Khanna, A Tiwari, S Trivedi
    Journal of Computer Technology & Applications 12 (3), 1-6 , 2021
    2021
    Citations: 7
  • Automatic classification of medicinal plants using state-of-the-art pre-trained neural networks
    SS Patil, SH Patil, AM Pawar, NS Patil, GR Rao
    Journal of Advanced Zoology 43 (1), 80-88 , 2022
    2022
    Citations: 6
  • Medicinal plant identification using convolutional neural network
    SS Patil, SH Patil, FN Azfar, AM Pawar, S Kumar, I Patel
    AIP Conference Proceedings 2890 (1), 020023 , 2023
    2023
    Citations: 4
  • Comprehensive review about automatic classification of medicinal plants
    SS Patil, SH Patil, AM Pawar, MS Bewoor, NS Patil
    PROCEEDINGS OF THE 2022 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE … , 2023
    2023
    Citations: 4
  • Soft computing techniques for the integration of distributed energy resources (DERs)
    SS Patil, SH Patil, AM Pawar, M Bewoor, NS Patil
    Technology 8 (2), 1-16 , 2022
    2022
    Citations: 4
  • Innovative Approaches to Improve Electrochemical Machining Performance
    AM Pawar, SS Chavan, DSSSC Bilgi
    Journal of Aerospace Engineering & Technology 7 (Issue 2), 9-16 , 2017
    2017
    Citations: 4
  • Multiphysics simulation and experimental validation of ecm drilling process
    AM Pawar, SS Chavan, DS Bilgi
    Journal of Emerging Technologies and Innovative Research (JETIR) 6 (1), 682-689 , 2019
    2019
    Citations: 3
  • Optimization of parameters for diameter of nanofibers and FTIR, XRD characterization for synthesized biofunctionalized nanofibers (curcumin, gelatin and formic acid) using …
    PV Londhe, SS Chavan, AM Pawar, SM Shendokar
    Int. J. Recent Technol. Mech. Electr. Eng 6, 2349-7947 , 2019
    2019
    Citations: 3