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

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

Faculty Profiles

  2. Faculty Profiles
  3. Dr. Mausam Chouksey

Dr. Mausam Chouksey

Designation:  Assistant Professor
Qualification:  MTech (IIIT Jabalpur), PhD (IIT Patna) 
Area of Interest:  Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Image Processing, Image Segmentation, Image Enhancement (Underwater, Retinal, Satellite), Biomedical Image and Signal Processing
Phone No:  9973041451
E-Mail:   This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Mausam Chouksey is an Assistant Professor in the Centre for Artificial Intelligence at Madhav Institute of Technology and Science (MITS), Gwalior. He holds a Ph.D. from IIT Patna and has over 10 years of research experience in Artificial Intelligence, Image Processing, and Signal Processing. His research focuses on image segmentation, enhancement, and optimization-based machine learning techniques, with publications in reputed international journals. He has also served at UPES Dehradun and IIIT Lucknow, contributing to teaching and curriculum development. His areas of interest include Computer Vision, Deep Learning, Biomedical Image Processing, Optimization Algorithms, and Natural Language Processing.
  • Education and Qualification:

    Ph.D. – Indian Institute of Technology (IIT) Patna, India (2015–2022)
    Specialization: Image Processing and Optimization Techniques

    M.Tech – Indian Institute of Information Technology (IIIT) Jabalpur, India (2012–2014)
    Specialization: Signal Processing and Filter Bank Design

    B.E. – Shri Ram Institute of Technology (SRIT), Jabalpur, India (2006–2010)
    Specialization: Electronics and Communication Engineering
  • Work Experience:

    Assistant Professor – Centre for Artificial Intelligence
    Madhav Institute of Technology and Science (MITS), Gwalior
    (March 2025 – Present)
    • Teaching AI and related subjects, mentoring students, and contributing to research activities.

    Assistant Professor – School of Computer Science
    University of Petroleum and Energy Studies (UPES), Dehradun
    (Aug 2024 – March 2025)
    • Delivered courses, guided students, and supported academic research initiatives.

    Visiting Professor – IIIT Lucknow
    (Jan 2024 – June 2024)
    • Taught Natural Language Processing and conducted practical sessions for postgraduate students.

    Assistant Professor – Saveetha Engineering College, Chennai
    (Aug 2022 – Jan 2024)
    • Taught core electronics and signal processing subjects and mentored undergraduate students.
  • Workshop/Conference/Organized/Attended:

    Workshops / Faculty Development Programs

    •     Served as a member of the organizing committee for the National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2015), actively contributing to the successful planning, coordination, and execution of the conference.
    • Participated in a 5-day workshop on “Multiobjective Optimization using Metaheuristics and Data Analytics for Operations Research” at IIT Kanpur.

    • Attended a 5-day workshop on “Digital Topology and Geometry in Medical Imaging: Theory and Application” at Jadavpur University.

    • Participated in a 5-day Faculty Development Program on “Python for Image Processing”.

    • Attended Faculty Development Program on “How Teachers Can Make a Difference” (February 2023).

    • Participated in “Inculcating Universal Human Values in Technical Education” organized by AICTE (September 2022).

    • Served as Session Chair at the IEEE International Conference on Advanced Technologies for Smart Innovations (IATMSI 2026), overseeing technical sessions, facilitating discussions, and evaluating research contributions in the domain of emerging technologies and AI.

    Events Participated

    • Participated in “E-Resources: A Gateway to Research” organized by NDLI Club (October 2022).

    • Participated in “Societal Advances in Wireless Systems and Emerging Technologies” (January 2023).

    • Contributed as Faculty Mentor and Assistant Faculty for grading in “Basics of Prompt Engineering: Learn to Communicate Better with AI” (April 2023).

    • Participated in National Workshop on “Quality System and Accreditation in Educational Institutes in India”.
  • Publications:

    Journal Publications

    1. Chouksey, M., Jha, R. K., & Sharma, R. (2020). A fast technique for image segmentation based on two meta-heuristic algorithms. Multimedia Tools and Applications.

    2. Chouksey, M., & Jha, R. K. (2021). A joint entropy for image segmentation based on quasi-opposite multiverse optimization. Multimedia Tools and Applications.

    3. Chouksey, M., & Jha, R. K. (2021). A multiverse optimization-based colour image segmentation using variational mode decomposition. Expert Systems with Applications.

    4. Kumar, R., Bhandari, A. K., & Chouksey, M. (2024). Optimal luminosity and contrast reformation system for retinal fundus image intensity enhancement. Wireless Personal Communications.

    Conference Publications

    1. Chouksey, M., & Jha, R. K. (2020). Variational mode decomposition-based image segmentation using sine cosine algorithm. APSIPA ASC.

    2. Chouksey, M., & Jha, R. K. (2021). Context-based image segmentation using multiverse optimization and joint entropy. CAPS Conference.

    3. Chouksey, M., et al. (2024). Enhancing underwater image quality with adaptive gamma correction, Retinex sharpening, and NSST fusion. WiSPNET.

    4. Chouksey, M., et al. (2024). Fast R-CNN approaches for transforming dental caries detection: An in-depth investigation. WiSPNET.

    5. Chouksey, M., et al. (2023). ML-based advanced speech emotion recognition system using Python. International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology.

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