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Dr. Sagarkumar Shridhar Badhiye

Assistant Professor

  • Education   Ph.D.
Dr. Sagarkumar Shridhar Badhiye

Dr. Sagarkumar Badhiye is an accomplished academic leader, researcher, and educator specializing in engineering education, curriculum design, and skill development. He currently serves as the Academic Coordinator at Symbiosis Institute of Technology, Nagpur, where he has played a pivotal role in implementing the NEP 2020 framework, reformulating institutional vision and mission statements, and introducing cutting-edge courses in Artificial Intelligence, Data Science, Cyber Security, and emerging technologies.

With over 14 years of experience in Computer Science and Engineering, he holds a Doctor of Philosophy (Ph. D.) from Sant Gadge Baba Amravati University, Amravati. His research interests span across Artificial Intelligence, Data Science, Cyber Security, Theoretical Foundations of Computer Science, Compiler Design, Natural Language Processing (NLP), and Time Series Analysis using Python and R.

Dr. Badhiye is a prolific researcher with numerous scholarly publications, actively contributing to the academic community through expert talks, workshops, and certifications in Python, Data Science, and Machine Learning. His research has made significant advancements in Diabetic Retinopathy analysis using AI-driven medical diagnostics, showcasing his expertise in healthcare informatics and interdisciplinary applications of machine learning.

Beyond research, Dr. Badhiye has been instrumental in fostering industry-academia collaborations, signing MoUs with leading organizations, and enhancing student employability through initiatives such as coding competitions, hands-on training modules, and real-time learning platforms. He has also played a key role in establishing the ACM Student Chapter and Google Developer Student Club (GDSC) at his institute, further promoting innovation and technical excellence among students.

With his deep commitment to academic excellence, research innovation, and industry collaboration, Dr. Badhiye continues to make a meaningful impact in both academia and the tech industry.

  • Theory of Computations
  • Compiler Constructions
  • Programming in C
  • Natural Language Processing
  • 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), Performance Evaluation of Machine Learning Algorithms for Parkinson’s disease Identification Model, Journal of Information and Optimization Sciences, Taylor & Francis, 27(2), 237-247, doi: https://doi.org/10.47974/JSMS-1250
2 Sagarkumar S. Badhiye, et. al., (2024), A Secure communication system for free space utilizing Quantum Computing based Multiple Bits Encryption and Decryption, Nanotechnology Perceptions, 20(S6), 629-636, doi: https://doi.org/10.62441/nano-ntp.v20iS6.49
3 Sagarkumar S. Badhiye, et. al., (2024), High-Resolution Magnetic Resonance Image Reconstruction Model for Early Epilepsy Detection Using Hybrid Optimization Approach, International Journal of Medical Engineering and Informatics, Article in Press, doi: 10.1504/ijmei.2025.10068873
4 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
5 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
6 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
7 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
8 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
9 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
10 Sagarkumar S. Badhiye, & Chatur, P. N. (2018c). Range linear regression automata model for alphabetic time series forecasting. Journal of Advance Research in Dynamical Control Systems, 14, 1280–1284.
11  Sagarkumar S. Badhiye, & Chatur, P. N. (2018a). A review on time series dimensionality reduction. Helix-The Scientific Explorer, 8, 3957–3960.

Conferences

No. Information
1 Sagarkumar S. Badhiye, et. al.,”Enhancing ATM security through face recognition verification”, AIP Conference Proceedings Volume 3214, Issue 14 November 2024 Article number 0200252nd International Conference on Trends in Material Science and Manufacturing Engineering, ICTMSME 2024
2 Sagarkumar S. Badhiye, et. al., ”Exploring machine learning techniques for enhancing fraud detection”, AIP Conference ProceedingsVolume 3214, Issue 14 November 2024 Article number 0200252nd International Conference on Trends in Material Science and Manufacturing Engineering, ICTMSME 2024
3 Sagarkumar S. Badhiye, et. al., ”An approach to review the constraints of ChatGPT”, AIP Conference ProceedingsVolume 3214, Issue 14 November 2024 Article number 0200252nd International Conference on Trends in Material Science and Manufacturing Engineering, ICTMSME 2024
4 Sagarkumar S. Badhiye, et. al., ”A geospatial perspective on solid waste management” AIP Conference ProceedingsVolume 3214, Issue 14 November 2024 Article number 0200252nd International Conference on Trends in Material Science and Manufacturing Engineering, ICTMSME 2024
5 Sagarkumar S. Badhiye, et. al., “”Analysis Of The Best Creational Design Patterns In Software Development” 2024 8th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024
6 Sagarkumar S. Badhiye, et. al., ” Unlocking Communication: YOLO Sign Language Detection System” 2024 8th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024
7 Sagarkumar Badhiye, ”Credit Risk Analysis using Machine Learning” 2024 8th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024
8 Sagarkumar Badhiye, “Unveiling Voices: Empowering Accessibility through YouTube Transcripts”, 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry
9 Sagarkumar Badhiye, “IoT-Integrated Door Sensor Solution for Enhancing Smart Home Security”, 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry
10 Sagarkumar Badhiye, “Enhancing Military Training Through Augmented and Virtual Reality Systems”, 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry
11 Sagarkumar S. Badhiye, et. al., Decentralizing Rides: A Blockchain Approach to Carpooling, 3rd International Conference on Intelligent Systems and Sustainable Computing (ICISSC2023), December, 2023
12 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
13 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
14 Sagarkumar S. Badhiye, et. al., “Range Automata for Alphabetic Time Series Dimensionality Reduction”, ICSCCC, 2018, IEEE
15 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
Sr. No. Type Title Application/Registration Number Status/Date
1 International Patent A System for Human Cognitive States Classification 2021102810 Granted
2 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)
3 Design Patent IoT-enabled drone for crop disease identification and pesticide Spraying 395988-001/ 25-09-2023 Granted
4 Design Patent Sensor Based Shoe for Blind People 419104-001 Granted
5 Copyright Document Preparation: A Latex-based approach (PPT) L-69262/2017 Granted
  • Invited Session Chair, International Conference on Advances in Computing, Control & Telecommunication Technologies - 2025 (Phase I), 07-08 February 2025.
  • Invited Session Chair, 2nd IEEE International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications (ICAIQSA 2024), 20-21 December 2024
  • Invited Session Chair, International Conference on “Advanced Communication, Energy and Big Data” (ICACEBD-24) during 15-16, March 2024
  • Appointed as External Subject Expert in the Board of Studies of the Department of Computer Technology at KITS, Ramtek.
  • Appointed as External Subject Expert in the Board of Studies of Data Science at Tirpude Institute of Management Education, Nagpur.
  • 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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