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

Centre for Artificial Intelligence

  2. Faculty Profiles
  3. Dr. PAWAN DUBEY
Dr. PAWAN DUBEY

Dr. PAWAN DUBEY

Designation: Assistant Professor
Qualification: Ph.D. , National Institute of Technology Delhi, India
Area of Interest: Image Processing, Computer Vision, Biometrics, Deep Learning, Robotics
Phone No:91-9911654322
E-Mail:This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Pawan Dubey has Completed his PhD from Department of Electronics and Communication Engineering of National Institute of Technology Delhi in the field of Biometrics (Image processing). He completed his post graduate and graduate at Jabalpur Engg. College, Jabalpur and Govt. Engg. College, Sagar (MP) in 2011 and 2006 with specialization in Microwave Engg. and ECE, respectively. As a research scholar at NIT Delhi, he published several SCI, Scopus indexed journal and conferences with publishing house such as Springer, Elsevier and IEEE. He has worked as a Research Mentor with Accendere knowledge management services ltd. and as an Asst. Professor at Gyan Ganga college of technology Jabalpur. He has also worked as research associate in a DST project at National Institute of Technology Delhi. He is associated with MITS as an Assistant Professor in department of IT from November 2021.
  • Work Experience:
    • Serving as an Assistant Professor at Department of IT, MITS Gwalior Since November 2021.  
    • Served as a Research Associate at DST Project in the department of Applied sciences at National Institute of Technology Delhi, Delhi from April ’ 2021 to october’2021.
    • Worked as an Assistant Professor in the department of Electronics and communication Engineering at Rustam Ji Institute of Technology, BSF academy, Tekanpur, Gwalior, (MP) since December 2020 to March 2021.
    • One year industry experience as a Research Manager/Research Mentor, at Accendere Knowledge Management Services Pvt. Ltd. from July 2019 to July 2020.
    • Three years and 11 months teaching/research experience as a Tutor cum Teaching assistant at National Institute of Technology Delhi, Delhi, for the period of August 2015 to July 2019.
    •  Three years and seven months of graduate and post graduate level student teaching experience at Gyan Ganga College of Technology, Jabalpur, for the period of January’ 2012 to July’ 2015 .
  • Administrative Experience:
    1. Class coordinator for AIR II year Batch 2020 & 2021.
    2. Member of Robotics Lab establishment and installation committee.  
    3. Member of Time Table  committee of the Department.
    4. Member of Board of Studies for IoT scheme syllabus designing committee.
    5. Member of Departmental Outcome Based Education (OBE) committee.
    6. Served as member of departmental Question Paper analysis Committee.
    7. Designed and Floated Novel Engaging course syllabus for UG Student on OpenCV Python.
  • Research Supervision:

    M-Tech Supervision: Deepak Kumar Dakate, 2012.

     Title:  Performance comparison of symmetric data encryption techniques.
  • Workshop/Conference/Organized/Attended:
    • Delivered Invited talks in ISTE- AICTE funded Faculty Development Program (FDP) on “Emerging trends in Networks and IoT” at Department of CSE, Infinity management and Engineering college, Pathariya Jat, Sagar, (MP) in 2020.
    • Delivered Invited talks in ISTE- AICTE funded Faculty Development Program (FDP) on “MATLAB Applications for semiconductor and construction Industries” at Ojaswini Institute of management and Technology, Damoh, (MP) in 2020.
    • Delivered expert talk in faculty research exposure development program on “Hands on module of MATLAB Applications for Image enhancement” at Aditya college of Engineering Technology, Surampalem, East Godavari district, (AP) in 2019.
    • Received Best poster presentation award in 13th IEEE International Conference on Industrial and Information Systems (ICIIS 2018), at Indian Institute of Technology, Ropar.
    • Organised and attended NIT Delhi’s Annual research function "Sodharth’ 15 and 16",
    •  Represented PG/PhD research cricket team in NIT Delhi Annual sports function ZEAL’ 2018 and 2019.
    •  Received MHRD/NIT Delhi Assistantship for the duration of August 2015 to July 2019.
    •  Co-ordinated Research lab visit at CSIR - Central Electronics Engineering Research Institute Pilani for M. Tech. students in 2013.
    • Delivered the expert lecture on “Electronic hazards and safety in workshop” at South Avenue Mall in 2013, Jabalpur.
  • Publications:
    1. Pawan Dubey, Kumari, V., Sharma, A.K., Sheoran, G. (2022). Quantitative Analysis of Transfer Learning in Plant Disease Classification. Communication and Intelligent Systems . Lecture Notes in Networks and Systems, vol 461. Springer, Singapore. 
    2. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey. "Accurate feature extraction for multimodal biometrics combining iris and palmprint". J Ambient Intell Human Comput (2021). 
    3. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. ”Optimal Directional Texture Codes using Multiscale Bit Crossover Count Planes for Palmprint Recognition.” Multimedia Tools and applications and Applications, March 2022.
    4. Pawan Dubey, Tirupathiraju Kanumuri,. "Palmprint Recognition Using Oriented Structural Energy Signature Codes." Arabian Journal for Science and Engineering (2019): 1-9, Springer". (SCI- impact factor - 1.09)
    5. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Sequency codes for palmprint recognition." Signal, Image and Video Processing, Springer. 12.4 (2018): 677-684. (SCI impact factor - 1.62).
    6. R Vyas, T Kanumuri, G Sheoran, Pawan Dubey, On Fusion of NIR and VW Information for Cross‐Spectral Iris Matching, Machine Learning Algorithms and Applications, 2021.
    7. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey . "Efficient features for smartphone-based iris recognition", Turkish journal of electrical engineering,idea 6 (7), (2019). (SCI- impact factor - 0.58)
    8. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Efficient iris recognition through curvelet transform and polynomial fitting." Optik (2019). (SCIimpact factor- 1.19)
    9. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey . “Recent trends of ROI segmentation in iris biometrics: a survey" International Journal of Biometrics, Inderscience (in Press).
    10. Deepak Kumar Dakate and Pawan Dubey. "Performance comparison of symmetric data encryption techniques." International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 1, no. 4 (2012): pp-163.
    11. Deepak Kumar Dakate and Pawan Dubey. "Blowfish encryption: A comparative analysis using VHDL." International of Engineering and Advanced Technology (IJEAT) 1, no. 5 (2012): 177-179. (Scopus).
    12. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Relative statistical ensembles of Curved Gabor Wavelets for palmprint verification ." In 13th IEEE International Conference on Industrial and Information Systems (ICIIS 2018), at IIT Ropar, 2018 (in Press).(Won Best Poster Award at IIT ROPAR)
    13. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Iris recognition through score-level fusion." In Proceedings of 2nd International Conference on Computer Vision & Image Processing, pp. 25-35. Springer, Singapore, at IIT Roorkee, 2018.
    14. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Palmprint recognition using binary wavelet transform and LBP representation." IEEE International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), at MANIT Bhopal, 2017, pp. 201-205.
    15. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Cooccurrence features and neural network classification approach for iris recognition." Fourth EEE International Conference on Image Information Processing (ICIIP), pp. 1-6. 2017.
  • Complete Resume:

    https://drive.google.com/file/d/1kZH0r7EXU8UOuyK1S9BTvGP0-4_MlXOG/view?usp=sharing

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