Sheetal Shrikant Shevkari

 

Sheetal Shrikant Shevkari

Editorial Board Member

Name: Sheetal Shrikant Shevkari

Designation: Assistant Professor

Affiliation:
Assistant Professor
MAEER'S MIT Arts, Commerce and Science College
Alandi, Pune, Maharashtra, India

Address:
MAEER'S MIT Arts, Commerce and Science College
Alandi - Moshi Road, Opposite Gajanan Maharaj Sansthan
Alandi, Pune – 412105
Maharashtra, India

Email: ✉️ ssshevkari@mitacsc.ac.in

Academic Profiles:

Professional Summary

Assistant Professor in Computer Science with academic experience in cybersecurity, database management systems, software engineering, software testing, Android technology, NoSQL databases and advanced database technology. Experienced in teaching undergraduate and postgraduate students, developing teaching aids, preparing syllabus structures, designing laboratory books, mentoring students and contributing to academic, co-curricular and research activities.

Professional Experience

  • Assistant Professor
    M.I.T Arts, Commerce & Science College, Alandi
    Currently working
  • Lecturer
    M.I.T Junior College
    4.5 years
  • PGT/TGT Teacher
    Priyadarshani School
    1 year
  • Technical Trainee
    Infosys Ltd., Mysore
    6 months

Academic Qualifications

Degree Institution Year
Ph.D. in Computer Science Shri JJT University, Rajasthan Pursuing
B.Ed. M.I.T Saint Dnyaneshwar B.Ed., Alandi, SPPU 2023
MBA in Human Resources IBMR College, Chakan, SPPU 2021
M.Sc. in Computer Science M.I.T ACSC College, Alandi, SPPU 2013
B.Sc. in Computer Science M.I.T ACSC College, Alandi, SPPU 2011

Areas of Interest

  • Cyber Security
  • Database Management Systems
  • Software Engineering
  • Software Testing
  • NoSQL Databases
  • MongoDB
  • Android Technology
  • Advanced Database Technology
  • Artificial Intelligence
  • Deep Learning
  • Biometric Identification
  • Data Analytics
  • Power BI and Tableau
  • Research Methodology

Research Output Summary

Category Details
Research Domain Computer Science, Cyber Security, Artificial Intelligence, Deep Learning and Biometric Identification
Teaching Expertise Cyber Security, DBMS, Software Engineering, Software Testing, NoSQL, Android Technology and Advanced Database Technology
Publications Research papers published in biometric intelligence, YOLOv7-based multimodal biometrics, deep learning, AI and language learning, and multimodal biometric identification
Patents Patents and design contributions in object detection, cyber threat detection and medical device detection
Academic Contributions Syllabus design, lab book preparation, teaching aids, placement coordination, mentoring and academic event coordination

Subjects Taught

  • Fundamentals of Cyber Security
  • Database Management Systems
  • Software Engineering
  • IT & Computer Science
  • Software Testing
  • RDBMS
  • NoSQL and MongoDB
  • Android Technology
  • Advanced Database Technology

Selected Professional Contributions

  1. Developed teaching aids including Google Classroom resources, online quizzes, PPTs and online tests.
  2. Designed syllabus core structure of BCS (CDS) for UG and PG under NEP 2020 implementation for autonomy.
  3. Designed DBMS laboratory book for F.Y.B.Sc. (IT) Sem-I.
  4. Designed Advanced Database and Android laboratory books for F.Y.M.Sc. (CS) Sem-I.
  5. Worked as placement coordinator for B.Sc. (IT) students for placement activities and training.
  6. Participated in student counselling during admission process for UG and PG courses.
  7. Coordinated academic activities including PTM, alumni meet, guest lectures, internal examinations, seminars, group discussions, viva sessions and mentor-mentee meetings.
  8. Served as jury member for Space Hackathon Apps PCMC 2024.
  9. Contributed as mentor for AI Innovation Sprints Hackathon at MITACSC 2026.
  10. Contributed as mentor in Eureka Competition at MIT ACSC 2025 conducted by E-Cell.

Selected Publications

  1. Biometric Intelligence Improving Recognition Through Deep Learning Frameworks, Shodhaditya Research Journal, Volume 11, Issue 1, January 2025 – June 2025.
  2. A Review of YOLOv7-based Multimodal Biometrics Framework: Scalability, Robustness and Identification Performance, International Journal of Science, Engineering & Computer Technology, Volume 12, Issue 1.
  3. Deep Learning Meets Biometrics: A Comparative Study of Modern Identification Techniques, International Journal of Innovation Research in Technology, Volume 12, Issue 2.
  4. Human Vs Machine: A Review of AI’s Impact on Language Learning Interaction or Replacing Human Interaction, International Journal for Multidisciplinary Research, Volume 7, Issue 3.
  5. Hybrid Fusion and YOLOv7-Based Deep Learning for Robust Multimodal Biometric Identification, REX Journal, Volume 14, Issue 1.

Patents

  1. Device for detecting and classifying objects in the environment, Indian patent, published 2025.
  2. Self Evolving Machine Learning Model for Early Detection of Cyber Threats, Indian patent, published 2025.
  3. Design Patent on Medical Device for Detection of Oral Cancer, 2026.

Books and Book Chapters

  1. Contributed book chapter in “India @75: Multidisciplinary Reflections on Past, Present & Future” with chapter titled “YOLO: Real-Time Object Detection and Identification.”
  2. Published book “NOSQL Unlock: The Future of Database is Here” with Eagle Leap Publications.
  3. Contributed book chapter on virtual reality and augmented reality in “Bridging Ideas: A Multidisciplinary Approach to Knowledge and Innovation.”
  4. Contributed in “Deep Learning for Intelligent Systems: Methods, Tools, and Real-World Solutions – Volume 6, 2026.”

Reviewer and Professional Memberships

  • Reviewer Member, IJCRT - International Journal of Creative Research Thoughts
  • Reviewer Member, JETIR - Journal of Emerging Technologies and Innovative Research
  • Reviewer Member, IJIRT - International Journal of Innovative Research in Technology
  • Reviewer Member, RSIS International Journals
  • Reviewer, American Journal of Information Science and Technology
  • Reviewed manuscripts for international conferences and journals in business intelligence, data analytics, artificial intelligence, robotics, computer vision and applied sciences.

FDP, Workshops and Training

  • Research Methodology
  • Intellectual Property Rights
  • Business Analytics with ExcelR
  • Data Analytics using Power BI and Tableau
  • Data Visualization using Tableau
  • Deep Learning and Artificial Intelligence
  • GenAI and Prompt Engineering using Microsoft Copilot
  • Global Business Foundation Skills
  • Outcome Based Education
  • Implementation of Autonomy
  • AI & GPT Intelligence Automation
  • Python and Machine Learning Bootcamp
  • Cyber Security
  • NEP 2020 Orientation and Sensitisation

NPTEL Courses

  • Completed 8-week FDP and course in Accreditation and Outcome Based Learning by NPTEL-AICTE with Elite grade.
  • Completed 12-week FDP and course in Software Testing by NPTEL-AICTE with Elite grade.

Languages

  • English
  • Hindi
  • Marathi

Last Updated: 26 June 2026