माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Department of Computer Science & Engineering

Dr. Rahul Dubey

Dr. Rahul Dubey

Designation:  Assistant Professor 
Qualification: Ph.D., M.Tech, B.E and  GATE Qualified.
Area of Interest:  Machine Learning, Deep Learning, AutoML and Image processing 
Phone No: 8871658241
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Rahul Dubey is an Assistant Professor in the Computer Science & Engineering Department at the Madhav Institute of Science and Technology. He has 8 Years of Academic experience. He received his Ph.D. in Computer Science from RGPV University and completed his M.Tech in Information Technology. He also qualified several times for the GATE Exam. He has published several research papers in peer-reviewed journals and Conferences. His primary research interests include machine learning, Deep Learning, Computer Vision and Neural Architecture Search. He received the Young Researcher Award at the IEEE conference held in 2021. He is a Python programming trainer. He has been invited to deliver expert talks on machine learning, Deep learning, and data science in various student and faculty development programs.
  • Education and Qualification:
    • PhD in Computer Science & Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalay, Bhopal(M.P.) in the year 2023.
    • M.Tech (Information Technology)  from Rajiv Gandhi Proudyogiki Vishwavidyalay, Bhopal(M.P.) in the year 2011.
    • B.E. (Computer Science and Engineering),from Rajiv Gandhi Proudyogiki Vishwavidyalay, Bhopal(M.P.) in the year 2009.

     

  • Work Experience:

    Total 8 Years of Academic experience

  • Honors, Award & Recognition:
    • Achievements 
      • Awarded by Young Researcher Award in International IEEE conference TRIBES 2021
      • Three times GATE
      • Awarded as Best Faculty in SRIJAN 2014 & 2015.
      • Got 99% in technical section of AMCAT.
      • NPTEL (Organized by Indian Institute of Technology, Madras) certified in “Python for Data Science” in 2021 with 82% and Elite Topper class.
      • NPTEL (Organized by Indian Institute of Technology, Kharagpur) certified in “Introduction to Machine Learning” in 2021 with 75% and Elite Silver class.
      • Swayam Certified for Programming with python with 96%
    • Invited talks
      • Delivered Hands-On Expert Session on “Role of AI & ML in Real Life “in FDP organized by S.V. Polytechnic College Bhopal during 20-22 May 2021.
      • Delivered Hands-On Guest lecture on “Machine Learning Techniques “in Dev Bhoomi Group of Institutions Dehradun Uttarakhand on 01 June 2020.
      • Delivered Hands-On Expert Session on “A practical approach towards Data science & Artificial Intelligence “in STTP organized by SOIT RGPV under TEQUIP-III during 29-02 June 2018.
      • Invited as a Keynote Speaker for the International Conference on the topic “Neural Architecture Search: A way to Automate Deep Learning" organized at R.D. Engineering College, Ghaziabad.
      •  
  • Workshop/Conference/Organized/Attended:
    • Attended online training session by Intel on “Open Vino toolkit” on 04-06-21.
    • Attended one week online Faculty development program on “Data Sciences” Organized by SOIT RGPV under ATAL Scheme during 07- 11 September 2020.
    • Attended one week short term training program on “Cyber Security and Ethical hacking” Organized by RGPV under TEQUIP –III during 24- 28 August 2020.
    • Attended one week short term training program on “Deep learning using python” Organized by RGPV under TEQUIP –III during 23- 27 August 2019.
    • Attended One week faculty development program on Machine learning for Data Science and Analytics  using python organized by RGPV under TEQUIP –III during 09- 13 Feb 2018.
    • Attended One week faculty development program on BIG DATA & HADOOP organized by Department of IT UIT RGPV BHOPAL during 31 -04 Feb 2017.
    • Attended one day workshop on   “Matlab & Simulink for Engg. Education”.
  • Publications:
    • One Research paper titled” Deep Learning-Based Recommendation System” is published in ICCIP-2022 “
    • One research paper titled “An Improved Genetic Algorithm for Automated Convolutional Neural Network Design” is published in Intelligent Automation and Soft Computing 32, no. 2 (2022): 747-763 (SCIE)
    • One research paper titled “Fusion of Handcrafted and Automatically generated features for improving the performance of COVID-19 X-Ray image classification” is published in International Conference on Technology, Research, & Innovation for the betterment of society (TRIBES-2021) (IEEE)
    • One research paper titled “Classification of Brain Tumor MR Images using Deep Embedding Technique” is published in 10th International conference on Soft Computing for Problem Solving - SocProS 2020.
    • One research paper titled “PMI-IR Based Sentiment Analysis over Social Media Platform for Analyzing Client Review” is published in Second International Conference on Computer Networks and Communication Technologies ICCNCT 2019(Scopus Index)
    • One research paper titled “An improved Document Clustering Approach with Multi-Viewpoint based on different similarity measures” is published in Second International Conference on Intelligent Computing and Control Systems (ICICCS) 2018 (Scopus Index).
    • One research paper titled” Cache Friendly Bellman Ford algorithm using OpenCL” is published in International Journal of Computer Applications (0975 –8887) Volume139 No.13, April 2016”.
    • One research paper titled “An Advance Survey On Cloud Computing” is published in CICN CONFRENCE in NOV 2014.
    • One research paper titled “Comparative study on distributed energy efficient Multilevel approach in wireless sensor network” is published in NJESM Volume-4, Issue-1, June 2014, ISSN 2249-0264.
    • One research paper titled “Performance Analysis for Random Access Channel in  Wireless Network with Mac Protocol” is published in IJATER DEC 2014, ISSN    2250-3536
    • One research paper titled “Comparative Study on Fuzzy Controlled and PI Controlled Buck Converter” is published in IJETT Volume-4, Issue-3, MARCH 2013, ISSN 2231-5381.
    • One research paper titled “An Agent Based Energy Efficient Local Monitoring in WSN is published in IJSCE in NOV 2011. Volume-1, Issue-5, November 2011, ISSN2231- 2307   

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