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Dr. Sagarkumar Shridhar Badhiye

Assistant Professor

  • Education   Ph.D.
Dr. Sagarkumar Shridhar Badhiye

Dr. Sagarkumar Badhiye is a dedicated and passionate Assistant Professor (Sr. Grade) with over 12 years of experience in the field of Computer Science and Engineering. He holds a Doctor of Philosophy (Ph.D.) degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati. Dr. Badhiye's expertise lies in various areas, including Theoretical Foundations of Computer Science, Compiler Design, Natural Language Processing (NLP), Data Science, and Time Series Analysis using Python and R.

Throughout his career, Dr. Badhiye has demonstrated a strong commitment to education and academic excellence. He has a track record of fostering student development by organizing coding competitions, guest lectures, and workshops, enhancing students' programming skills. His contributions extend beyond the classroom, where he has facilitated collaborations and signed MoUs between academic institutions and industry partners, he also played an important role in establishing ACM Students Chapter and GDSC club at his institute.

In addition to his teaching and mentoring roles, Dr. Badhiye is an accomplished researcher with numerous publications to his name. He has actively contributed to the academic community through expert talks, workshops, and certifications related to Python, Data Science, and Machine Learning.

Dr. Badhiye's dedication, expertise, and leadership in the field of Computer Science make him an invaluable asset in both academia and industry.

  • Data Structure
  • Theory of Computations
  • Tinker Lab
  • Specialization
    1. Time Series Analytics
    2. Natural Language Processing
    3. Machine Learning
  • Focus
    1. Time Series Analytics
    2. Forecasting

Journal

No. Information
1 Sagarkumar S. Badhiye, et. al., (2024), Optimization Strategies for Performance Enhancement of Packrat Parsers, International Journal of Intelligent Systems and Applications in Engineering, 12(17s), pp. 781-785
2 Sagarkumar S. Badhiye, et. al., (2024), Quantum Computing Threats: Study the Potential Threats that Quantum Computing Poses to Blockchain Security, International Journal of Intelligent Systems and Applications in Engineering, 12(10s), pp. 342-348
3 Sagarkumar S. Badhiye, et. al., (2024), Choosing a Suitable Consensus Algorithm for Blockchain Applications: A Review of Factors and Challenges, International Journal of Intelligent Systems and Applications in Engineering, 12(10s), pp. 333-341
4 Sagarkumar S. Badhiye, et. al., (2024), Remote photoplethysmography-based human vital sign prediction using cyclical algorithm, Journal of Biophotonics, 17(1),
https://doi.org/10.1002/jbio.202300286
5 Sagarkumar S. Badhiye, et. al., (2023), Experimental Analysis of Heart Disease Prediction Using Machine Learning with Emphasis on Hyper Parameter Tuning and Recursive Feature Elimination, International Journal of Intelligent Engineering & Systems, 16(6), pp. 80-85, DOI: 10.22266/ijies2023.1231.08
6 Sagarkumar S. Badhiye, et. al., (2022). Time Series Forecasting using Range Regression Automata. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 30(6), pp. 1035-1063,
DOI: https://doi.org/10.1142/ S0218488522500325

Conferences

No. Information
1 Sagarkumar S. Badhiye, et. al., Decentralizing Rides: A Blockchain Approach to Carpooling, 3rd International Conference on Intelligent Systems and Sustainable Computing (ICISSC2023), December, 2023
2 Sagarkumar S. Badhiye, et. al., Alphabetic time series representation using trend-based approach, IEEE International Conference on Innovations in Information, Embedded and Communication Systems12 August 2015
3 Sagarkumar S. Badhiye, et. al., Preserving privacy in collaborative data publishing from heterogeneity attack Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare, 5 October 2016, DOI: 10.1109/STARTUP.2016.7583956
4 Sagarkumar S. Badhiye, et. al., “Range Automata for Alphabetic Time Series Dimensionality Reduction”, ICSCCC, 2018, IEEE
5 Sagar S. Badhiye, et. al. “Review on Towards Efficient Mining of Recurrent Patterns in Time Series Data”, IEEE- International Conference on Innovative Mechanisms for Industry Applications, 2017

S. S. Badhiye, P. N. Chatur, B. V. Wakode, Temperature & Humidity Prediction using Data Mining, Lambert Academic Publishing, ISBN: 978-3-659-20110-3

Type Title Application/Registration Number Status/Date
International Patent A System for Human Cognitive States Classification 2021102810 Granted
Indian Patent Real-Time E-Challan System and Method for No-Helmet and Triple Seats Two-Wheeler Identification for Traffic Management 202221025085 Patent No.: 445299/ 16-08-2023 (Granted)
Design Patent IoT-enabled drone for crop disease identification and pesticide Spraying 395988-001/ 25-09-2023 Published
Copyright Document Preparation: A Latex-based approach (PPT) L-69262/2017 Granted
  • Listed in AD Scientific Index 2024
  • Appointed as External Subject Expert in the Board of Studies of the Department of Emerging Technologies at S. B. Jain Institute of Technology, Management, and Research, Nagpur.
  • Delivered an expert session on “Report Writing in LaTeX” conducted by the ISTE Students Chapter of the Computer Science and Engineering Department at Government College of Engineering, Amravati on 7th December 2023.
  • Delivered an expert talk on “Python Programming” in the Certification Course on "Applied Data Analytics: A Practical Approach", conducted by Continuing Education Cell and Department of Information Technology, National Institute of Technology, Raipur in between 22nd May to 21st June 2023.
  • Delivered an expert talk on "Introduction to Machine Learning and Applications", at Priyadarshani College of Engineering, Nagpur on 17-12-2022.
  • Delivered an expert talk on “Python Programming” in the Certification Course on "Applied Data Analytics: A Practical Approach", conducted by Continuing Education Cell and Department of Information Technology, National Institute of Technology, Raipur in between 15th June to 14th July 2022.
  • Delivered an expert session on "Trends & Modeling in Deep Learning & Neural Networks" in One Week Short Term Training Program on "Data Science with Statistical Methods Using Python", organized by the Center of Excellence Data Science and the Department of Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur from 17th to 21st January 2022.
  • Delivered a session on “How to Write a Technical Report/Case Study on Innovation” organized by Institution’s Innovation Council (IICs) of Bajaj Institute of Technology, Wardha, dated 30th January 2021.
  • Resource Person for Lab Session on “Parallel Programming Paradigm using OpenMP” in ISTE approved FDP on “Application of GPU Programming in Engineering Fields-2015 (AGPE-15)” in association with IIT Guwahati.

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