Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | PROF. (Dr.) SONALI MALLINATH ANTAD

Image

PROF. (Dr.) SONALI MALLINATH ANTAD

Designation:

Assistant Professor

Department:

Computer Engineering

Email :

sonali.antad@vit.edu

Phone :

9881544756

   



Personal

Educational Qualification :

University Degree Year
Shri Jagdishprasad Jhabrmal Tibrewala University Phd 2022
Shri Jagdishprasad Jhabrmal Tibrewala University Phd 2022
Savitribai Phule Pune University ME 2013
Shivaji University BE 1997


Date of Joining : 08/12/2021


Total Experience : 24 year:7 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 NA NA 15-Dec-1997 15-Dec-1997 0
2 Aptech Institute Class Faculty 20-May-1998 31-May-1999 1
3 CDACs Gist Pace Agency Technical Aassistant 03-Sep-2001 07-Aug-2003 1
4 Pimpari Chinchwad Polytechnic Lecturer in Computer Dept 08-Aug-2003 31-May-2004 0
5 Ekalavya Shikshan Sansthas Polytechnic Lecturer in Computer Tech.Dept 09-Jul-2004 17-Aug-2006 2
6 Jayawantrao Sawant Polytechnic Lecturer,HOD in Computer Dept 18-Aug-2006 08-Dec-2021 15
7 Vishwakarma Institute of Technology Assistant Professor in Computer Dept 09-Dec-2021 - 3

Professional Contribution :

  1. Worked as Class Teacher for Div-T for 1st semester

  2. Worked as Class Teacher of T Div for 2nd semester

  3. Worked as member of Disciplinary committee for Convocation Function

  4. Worked in Computer department for Criteria 3 in NBA

  5. Worked as venue leader for Team 3 for FY CAP process

  6. Worked as member for Timetable of O,P,Q division

  7. Working as class teacher of j div

  8. Worked as member for organizing Conference on Advances in Scienceand TechnologyDSCAST- 2022

  9. Preparing Report of FDP-Conference for DESH department

  10. Working as Class teacher for J FY Div for Semester-2 also.

  11. Working as Criteria 2 coordinator for Computer Engineering department for NAAC

  12. Working as Class Teacher for Btech CSB division

  13. I prepared activity report of Computer Engineering department for AY 2019-20 needed for NAAC 5.1.3 .

  14. Worked as Class Teacher of Btech Class Div-C

  15. Worked as class teacher of SYCS-A divsion

  16. Worked as Criteria 2 Coordinator for NBA

  17. Worked as Syllabus feedbacks from Industry, Alumni, Academia,


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Cyber security and Data Privacy in Operational Technology FDP Participated 17-Mar-2025 21-Mar-2025
2 Harnessing Intelligence: Deep dive in to Machine Learning FDP Participated 10-Mar-2025 14-Mar-2025
3 REVOLUTIONARY AI: Blending Generative Power With Learning Machines This Faculty Development Program (FDP) explores the cutting-edge convergence of generative AI and advanced machine learning techniques, equipping educators and researchers with tools to integrate these technologies into academic and professional settings. The program emphasizes the "VRevolutionary" impact of AI—its ability to transform virtual and real-world problem-solving through creative and adaptive capabilities. FDP Participated 16-Dec-2024 20-Dec-2024
4 Generative AI and its Multidomain Use cases The Faculty Development Program (FDP) on "Generative AI and its Multidomain Use Cases" gives knowledge to equip educators and researchers with a comprehensive understanding of generative artificial intelligence technologies, their applications across various domains, and the implications of their use in academia and industry. This program is designed to provide participants with the knowledge and skills necessary to integrate generative AI into their teaching, research, and administrative practices. FDP Participated 02-Dec-2024 06-Dec-2024
5 Recent Treands in Computations 4.0 The Faculty Development Program (FDP) on "Recent Trends in Computations 4.0" focuses on educating participants about the latest advancements and emerging technologies in computational fields, aligned with the principles of Industry 4.0. Industry 4.0 represents the fourth industrial revolution, characterized by the integration of digital technologies, smart automation, and data-driven processes in industries. This FDP is designed to help educators, researchers, and industry professionals stay updated with cutting-edge computational techniques and tools that are transforming various sectors. FDP Participated 08-Jul-2024 13-Jul-2024
6 Machine Learning Bootcamp A "Machine Learning Bootcamp" Faculty Development Program (FDP) is an intensive training program designed to equip educators, researchers, and professionals with a strong foundation in machine learning. The goal is to help participants acquire the skills needed to teach and apply machine learning techniques effectively in their fields. Here are some key elements that typically make up such a program: FDP Participated 01-Jul-2024 05-Jul-2024
7 Artificial Intelligence and Generative Models The FDP covers foundational concepts of artificial intelligence, including machine learning, deep learning, and neural networks. Participants will delve into advanced topics such as generative adversarial networks (GANs), variational autoencoders (VAEs), and reinforcement learning. FDP Participated 15-Jan-2024 21-Jan-2024
8 Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain This related to Cyber security and blockchain technology. It is an ATAL fdp. FDP Participated 04-Dec-2023 10-Dec-2023
9 ‘Advances in Multidisciplinary Engineering This FDP provides a condensed yet comprehensive learning experience essential for navigating today's multidisciplinary engineering landscape. FDP Participated 30-Oct-2023 05-Nov-2023
10 Recent Treands in Computations 3.0 The "Recent Trends in Computations 3.0" Faculty Development Program covers cutting-edge advancements in computational methods and technologies. It includes topics such as machine learning, AI, quantum computing, and high-performance computing. Participants explore applications, ethics, and hands-on workshops while discussing research opportunities and future career paths in the field. FDP Participated 09-Oct-2023 15-Oct-2023
11 "IoT based Predictive Analytics using Artificial Intelligence This AICTE ATAL Sponsored Faculty Development Program (FDP) aims to give the participants a good insight into Predictive Analytics and its potentially enormous real-world applications and to explore research areas of Predictive Analytics, Healthcare, Business, Marketing etc. FDP Participated 13-Feb-2023 25-Feb-2023
12 Data Science : Tools and Research The FDP gives details about data science tools.Supervised ML,Unsupervised ML,Data Visualization using TableauMatplotlib-Visualization in Python FDP Participated 01-Nov-2022 05-Nov-2022
13 Amazon Web Services Received knowledge about AWS Introduction ,ELB and ASG,EC2 and EBS options, launching Linux FDP Participated 22-Aug-2022 27-Aug-2022
14 Machine Learning and Deep Learning using Python Received knowledge about Transfer Learning,Random forest,Adaboost,XGBoost,ANN,CNN using Python FDP Participated 02-Aug-2022 06-Aug-2022
15 Recent Trends in Computations In this FDP sessions are conducted on recent technology in good manner like Cloud computing, Block chain technology, Human computer interaction, Machine Learning, Algorithmic Number Theory FDP Participated 18-Jul-2022 23-Jul-2022
16 AI Foundations for Everyone In this specialization learners have developed foundational skills in AI. Learners who have successfully completed this specialization should be able to describe what is AI, its applications and use cases. They should be acquainted with terms like Machine Learning, Deep Learning, etc. The learners should be familiar with the various IBM Watson AI services that enable businesses to apply pre-built AI smarts to their solutions. They should also have knowledge on how to build and deploy web-based intelligent virtual assistants. Learners who have earned this certificate have completed 3 online courses on AI and have demonstrated their competency in Foundations of AI using quizzes and several hands on exercises, including creating and deploying an AI enabled chatbot on a website. MOOC Participated - -

International Journal:

  1. CharitAble ,High Technology Letters,122
  2. Facial Recognition Attendance System using Deep Learning ,High Technology Letters,122
  3. Wireless Charging: Its types, Standards and Applications ,International Journal on Recent and Innovation Trends in Computing and Communication,123
  4. A New Way for Face Sketch Construction and Detection Using Deep CNN ,International Journal on Recent and Innovation Trends in Computing and Communication,123
  5. Revolutionizing Fashion: Fashion Era’s Deep Convolutional Neural Network for Outfit Recommendations ,International Journal of Intelligent Systems and Applications in Engineering,124
  6. DRESCNN: Deep RESNET Convolutional Neural Network Based Classification of X-Ray Images for Detection of COVID-19 ,Journal of Electrical Systems Home Current Archives,124
  7. Real-Time Gas Monitoring and Anomaly Detection in Petroleum Industry Using IoT and Machine Learning ,International Journal of Computing and Digital Systems,124
  8. A Smart Contract-Based Decentralised Crowdfunding Platform for Increased Security and Transparency ,2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU),124
  9. Kisan Dhan-Crop Price Prediction Using Random Forest ,Communications on Applied Nonlinear Analysis,124
  10. Enhanced Context-Based Stock Recommendation Integrating News Classification and Technical Indicators ,International Journal of Engineering Trends and Technology,124
  11. The Real-Time Gas Monitoring and Anomaly Detection in Petroleum Industry Using IoT and Machine Learning ,International Journal of Computing and Digital Systems,124

International Conference:

  1. A Novel Mechanism for Development of Intrusion Detection System with BPNN ,2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON),122
  2. Barrier Detection Glasses for Blind ,International Conference on Power Engineering and Intelligent System (PEIS 2023),124
  3. An IOT-Based Smart Bag with Integrated Security System and Rainwear ,2023 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS),123
  4. Sign Language Translation Across Multiple Languages ,2024 International Conference on Emerging Systems and Intelligent Computing (ESIC),124
  5. Smart Glasses for Blind Using Text-To-Speech ,Mobile Radio Communications and 5G Networks. MRCN 2023.,124
  6. A Hybrid approach for Deepfake Detection using CNN-RNN ,2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0,124
  7. Machine Learning Algorithms for Predictive Maintenance in Hybrid Renewable Energy Microgrid Systems ,E3S Web of Conferences,124
  8. Solar-Based Mulching Paper Hole Maker ,Lecture Notes in Electrical Engineering,124
  9. Planet Refill: Reducing Single-Use Plastic Waste Through Refill Stations ,Lecture Notes in Electrical Engineering ,124
  10. Sign Language Detection Using AI Machine Learning ,Lecture Notes in Electrical Engineering,124
  11. Survey on Zero Trust Architecture ,2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS),125
  12. Smart Transport Hub ,2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS),125
  13. Smart Healthcare Using NLP for Advanced Chatbots and Root Cause Analysis ,ICT4SD Conference 10th International Conference on ICT for Sustainable Development,125
  14. Sentiment analysis of tweets ,ICT4SD Conference 10th International Conference on ICT for Sustainable Development,125
  15. IndiArt AI: AI-Based Indian Painting Exploration System ,International Conference on Innovations in Cybersecurity and Data Science (ICICDS-2025),125
  16. Development of BPNN based Intrusion Detection System using Novel Approach ,International Research Journal of Engineering and Technology (IRJET),121
  17. A Comprehensive Integrated Platform for Academic Collaboration, Skill Development, and Career Readiness ,2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA),125
  18. Stock Price Prediction Website Using LinearRegression - A Machine Learning Algorithm ,2023 First International Conference on Data Science and Advanced Computing(ICDSAC 2023),123
  19. A Novel Approach for clone app detection using VADER’s Algorithm ,2023 First International Conference on Data Science and Advanced Computing(ICDSAC 2023),123

National Journal:

  1. Career Guidance Chatbot ,Industrial engineering journal,125
  2. A Survey on Cache Consistency Models in Modern Microprocessors ,Industrial engineering journal,125

Book:

  1. Deep Learning Revolution Shaping the Future of AI Paperback – 1 ,Epitome Publishing,124


Research Grant / Funded Projects :

  1. Health Q&A
  2. Yield Prediction Models
  3. Investment Management
  4. PMCComplaintAnlysis andManagement-1
  5. PASSION Debate Arena

Patents :

  1. Design of an ROV to find Dead Bodies Underwater
  2. Device to Obtain Feedback from a Taxi Passenger.
  3. IOT-BASED DATA MANAGER DEVICE
  4. SMART WHEEL CHAIR WITH MOTION CONTROLS
  5. A REMOTE CONTROLLED VEHICLE SYSTEMWITH OBJECT DETECTION
  6. IOT-BASED BAG WITH INTEGRATED SECURITY SYSTEM AND RAINWEAR
  7. A WEARABLE ASSISTIVE DEVICE FOR VISUALLY IMPAIRED INDIVIDUALS
  8. A SOLAR BASED MULCHING PAPER HOLE MAKER
  9. MARINE BUDDY
  10. VIRTUAL ASSISTANT IN REGIONAL LANGUAGES.
  11. A REMOTE CONTROLLED VEHICLE SYSTEM WITH OBJECT DETECTION



Copyright © Vishwakarma Institute of Technology,Pune 2025 All rights reserved.

[Best viewed in IE 10+, Firefox, Chrome, Safari, Opera.]

:::| powered by VGESPL |:::