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Archana Chadrashekhar Magare

Ph. D. (Computer Engineering) pursuing from GTU since 2018(*Secured 2nd rank in GTU RP Presentation)

 

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Email: archana.magare@gsfcuniversity.ac.in

Mrs. Archana Chandrashekhar Magare is an Assistant Professor (CSE) at GSFC University, Vadodara (since July 2022). Prior to this, she was an Assistant Professor at

School of Computer Science, Engineering and Technology, ITM (SLS) Baroda University (Oct 2020 – July 2022), ITM Universe, Vadodara (Aug 2013 – Sept 2020), and

served as a faculty member at DOEACC Centre for O, A, and B-level programs for 6 years (2003–2009).   

 She currently serves as the Program Coordinator for the CSE Department at GSFC University, Vadodara. In her previous roles, she has served as course coordinator

and examination coordinator and contributed significantly to syllabus design for B.Tech AI and M.Tech programs in AI, ML, and Data Science.

Mrs. Archana C. Magare is a highly dedicated academician with a strong foundation in computer science and engineering. She is currently pursuing her Ph.D. in Computer

Engineering from Gujarat Technological University, with research centered on early detection of neurodegenerative diseases, particularly Parkinson’s disease, using

advanced machine learning techniques.

Mrs. Archana Chandrashekhar Magare has completed her M.E. in Computer Science and Engineering (2014) and B.E. in Information Technology (2003),

both, with distinction from North Maharashtra University. She also holds a Diploma in Computer Engineering from B.T.E., Mumbai.

Her teaching expertise covers a wide range of subjects, including Artificial Intelligence, Machine Learning, Software Engineering, R Programming, Data Science for Engineers,

Soft Computing and Database Management Systems.

  • ME–CSE (Computer Sci. & Engg.) from North Maharashtra University, Jalgaon in 2014 with distinction -71.65%
  • B.E.(IT) from North Maharashtra University, Jalgaon in 2003 with distinction -72.14%
  • Diploma in Computer Engg B.T.E., Mumbai in 1996 with distinction -73.55%

  • Computer Vision and Early detection of diseases
  • Computational Biology and biomarkers identification
  • Image Processing and Cognitive Sciences
  • Machine learning applications in healthcare and diagnostics

  • “Biomarkers Identification for Parkinson’s Disease using Machine Learning” in IEEE explore 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 2021, pp. 1-6, doi: 10.1109/AIMV53313.2021.9670941. ISBN: 978-1-6654-4211-4 Date Added to IEEE Explore- 10 January 2022.

  • “Parkinson’s Disease Interstage Prognostic Biomarkers for Early Detection through Hybrid Machine Learning Model”, Indian Journal of Science and Technology. 17(40):4209-4220, 2024.

  • “Artificial Intelligence and Stochastic Process-Based Analysis of Human Psychiatric Disorders”, in Journal of Advanced Medical Sciences and Applied Technologies(JAMSAT),2021,ISSN-2423-5903,EISSN-2538-447.

  • “ReactJS: A Modern Web Development Framework”,in International Journal of Innovative Science and Research Technology, Volume 5, Issue 11, pp.698-702 November 2020

  • “Inherent Mapping Analysis of Agile Development Methodology Through Design Thinking”, In: Kotecha K., Piuri V., Shah H., Patel R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_57;  June-2020

  • “Computational Identification of Biomarkers”, in International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075,9(7s) ,pp.1-5, May 2020

  • “Emotion Model for Artificial Intelligence and their Applications”, In IEEE 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan Himachal Pradesh, India, 2018, pp. 335-339.doi:10.1109/PDGC.2018.8745840 Date Added to IEEE Explore- 27 June 2019.

  • “Time Table Generation using Constraint Programming Approach”,  in International Journal on Future Revolution in Computer Science & Communication Engineering (IJFRCSCE) (Volume: 4, Issue: 3, March 2018 ISSN: 2454-4248)

  • “Cognitive evolution in software development life cycle through design thinking”, in  COMPUTER MODELLING & NEW TECHNOLOGIES 2017 21(3) 31-34 (Scientific and research journal of Latvian Transport Development and Education Association,Latvia).

  • “Improved Membership Function for Multiclass Clustering with Fuzzy Rule Based Clustering Approach” in International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ( Volume 3, Issue 5, September-October 2014  ISSN 2278-6856)

  • “Improvement in membership function for multiclass clustering with Fuzzy Rule Based clustering Approach” in International Journal of Advanced Engineering and Global Technology (Vol-2, Issue-4, April 2014 ISSN No: 2309-4893)

  • Assistant Professor (CSE) – School of Technology, GSFC University, Vadodara
    15th July 2022 – Present

  • Assistant Professor (CSE) – School of Computer Science, Engineering and Technology, ITM(SLS) Baroda University
    1st October 2020 – 13th July 2022

  • Assistant Professor (CSE) – ITM Universe, Baroda
    August 2013 – 30th September 2020

  • Faculty Member – DOEACC Centre
    2003 – 2009, for O, A & B Level Programs

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Co-guide for the project- Artificial Intelligence and Stochastic process based analysis of human psychiatric disorders from Shriaz University of Medical Sciences, Shiraz,Iran.

 

 

Awarded “Best Employee of the Institute 2019” for  significant contribution in Computer Science and Engineering department ,ITM(SLS) Baroda University,Vadodara