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

Department of Computer Science & Engineering

  2. Faculty Profiles
  3. Dr. Rohit Agrawal
Dr. Rohit Agrawal

Dr. Rohit Agrawal

Designation: Assistant Professor
Qualification: Ph.D. (IIT, Indore), M.Tech (ISM Dhanbad, now named as IIT-ISM Dhanbad), B.Tech (BIET Jhansi). GATE, and UGC-NET Qualified
Research Visit/Internship: 
  • June 2021 – Oct 2021: LU Hannover, Hannover, Germany
  • Nov 2020 – Dec 2020 LU Hannover, Hannover, Germany
  • Nov 2019 – Dec 2019 Lancaster University, Lancaster, United Kingdom
  • June 2018 – Aug 2018 Center for Advancing Electronics Dresden (cfaed), TU Dresden, Dresden, Germany.

Area of Interest: Machine Learning, Image Processing, Optimization, Data Science
Phone No: 8505821983
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 

  • About Faculty: ROHIT AGRAWAL received his B.Tech degree in Computer Science and Engineering from BIET Jhansi, India; M.tech degree in Computer Application from Indian School of Mines (IIT-ISM), Dhanbad, India; and Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology Indore, India. Prior to joining MITS, Dr. Rohit worked as an Assistant Professor in the School of Computer Science Engineering and Technology at Bennett University (Times of India Group), and JSS Academy of Technical Education Noida. In the past, he visited TU Dresden (Germany), Lancaster University (UK) and LU Hannover (Germany) as a guest researcher. His research interests are at the intersection of Computer Science and Mathematical Optimization. Especially, Optimization, Artificial Intelligence, Machine Learning, Data Science, Image Processing, and Circuit Designing.
  • Education and Qualification:
    • Doctor of Philosophy (Ph.D.), Computer Science & Engineering: July 2022 
      Indian Institute of Technology Indore, Indore, India
      Thesis: Novel Optimization Algorithms for Steganography and Chip Routing.

     

    • Master of Technology (M.Tech.): June 2023
      Indian School of Mines Dhanbad (Now renamed IIT-ISM Dhanbad), Dhanbad, India
      Thesis: Steganography Scheme on JPEG Compressed Cover Image with High Embedding
      Capacity.

     

    • Bachelor of Technology (B.Tech), Computer Science & Engineering: June 2011
      Bundelkhand Institute of Engineering & Technology, Jhansi, India (Government college)
      (Gautam Buddh Technical University, Lucknow, India)
      Project: Save her from cancer (Submitted in “The Great Mind Challenge (TGMC) - IBM
      2010” project).
  • Work Experience:
    • Assistant Professor,
      Madhav Institute of Technology & Science,
      Gwalior, India

    Dec 2022 – Till now

     

    • Assistant Professor,
      School of Computer Science Engineering & technology,
      Bennett University, Greater Noida, India

    Sep 2021 – Dec 2022

     

    • Graduate Research/Teaching Assistant
      Discipline of Computer Science & Engineering, IIT Indore, India
      • Researched on designing efficient optimization algorithms for problem arises in FPGA
      Routing and Data Security.
      • TA for four courses in eight consecutive semesters.

    Nov 2015 – June 2021

     

    • Research Internship 
      LU Hannover, Hannover, Germany

    June 2021 – Sep 2021

    Worked on “Mathematical optimization in Image Steganography” with Prof. Marc
    Steinbach and Prof. Thomas Wick (also published paper in collaboration).

    • Research Internship 
      LU Hannover, Hannover, Germany

    Nov 2020 – Dec 2020

    Worked on “Mathematical optimization in different engineering domain” with Prof.
    Marc Steinbach and Prof. Thomas Wick

     

    • Research Internship
      Lancaster University, Lancaster, United Kingdom

    Nov 2019 – Dec 2019

    • Visit Lancaster University for a SPARC sponsored project (Joint project of IIT Indore
    and Lancaster University).

     

    • Research Internship
      Center for Advancing Electronics Dresden (cfaed),
      TU Dresden, Dresden, Germany.

    June 2018 – Aug 2018
    • Visit TU Dresden and worked on a project title “FPGA Grid Partitioning” with Prof.
    Dr. Akash Kumar (also published paper in collaboration).

     

    • Worked as an Assistant professor
      Department of Computer Science & Engineering,
      JSS Academy of Technical Education, Noida, India.

    July 2013 – Nov 2015

     

    • Graduate Research/Teaching Assistant
      Department of Computer Science & Engineering,
      IIT (ISM) Dhanbad, India.
      • Researched on image steganography.
      • TA for C Programming, Theory of Automata and Information & Coding Theory subjects.

    July 2011 – Jun 2013

     
  • Administrative Experience:
    • A member of the team for applying to various agencies for ranking. (May 2024-till present)
    • Departmental OBE Coordinator at MITS Gwalior (Jan 2023-till present).
    • Departmental Ph.D. Coordinator at MITS Gwalior (Jan 2023-till present).
    • Department Research Coordinator at MITS Gwalior (Jan 2023-till present).
    • Department Data Manager Coordinator at MITS Gwalior (July 2023-till present).
    • Department Criteria 3 (Research, Innovations & Extensions) Coordinator for NAAC, MITS Gwalior June 2023.
    • Institute-level Anti Ragging Incharge, MITS Gwalior(Jan 2023-till present).
    • Department Computing Lab head/coordinator, MITS Gwalior(May2023-till present)

    Workshop Organized:

    • Conducted A Seven-day Placement Training Activity (Short-term training program) on "Key Concepts of Data structures", from 27.02.2023 to 05.03.2023 at MITS Gwalior.
    • Conducted a one-day workshop on “Outcome-based education (OBE)” on 19.06.2023 at MITS Gwalior.

    Summer Internship Program: 

    • Conducted a summer internship program (SIP) from 19.06.2023 to 30.06.2023 on “Application of Data Science” at MITS Gwalior. Total 35 students attended this SIP.

    Research Intersnship 2024:

    • Supervising 3 pre-final year students as part of a research internship program at MITS Gwalior (from May 2024 onwards).

    Novel Engaging Courses (NEC):

    • Probability and Statistics (code: 2000181) from Jan 2024-May 2024
    • Probability and Statistics (code: 2000181) from Aug 2024-Dec 2024

    MOOC developed 2023-24:

    • Probability and Statistics (Developed)
    • Data Science (Developing)
  • Research Supervision:

    Former M.Tech (Research)

    • Mr. Adarsh Singh Jadon (Batch 2022-2024): M.Tech thesis defended in Aug 2024

    Title: Enhancing Hinglish Sentiment Analysis using Deep Learning Models for Multilingual Digital Communication

     

    Current Ph.D.

    • Ms. Aashi Singh Bhadoria: Admitted in September 2024.

     

     
  • Honors, Award & Recognition:

    NPTEL MOOC courses

    • Elite: 12 Weeks Course NPTEL on "Cloud Computing" Jan-April 2024
    • Elite: 8 Weeks Course NPTEL on "Cloud Computing and Distributed system" Jan-April 2024
    • Successful completed: 8 Weeks Course NPTEL on "Edge Computing" Jan-March 2024
    • Elite + Silver Certificate: 8 Weeks Course NPTEL on "Introduction to Machine Learning" July-Sep 2023 (in top 5%)
    • Successfully completed: 8 Weeks Course NPTEL on "Programming, Data Structures and Algorithms Using Python" July-Sep 2023
    • Elite + Silver Certificate: 4 Weeks Course NPTEL on "Fundamental of Algorithms: Design and Analysis". (in top 1%)
    • Elite + Silver Certificate: 12 Weeks Course NPTEL on "Introduction to Automata, Languages and Computations". Jan-April 2023 
    • Elite + Silver Certificate: 4 Weeks Course NPTEL on "Python for Data Science". Jan-Feb 2023 (in top 5%)
    • Elite: 8 Weeks Course NPTEL on "Distributed Systems" July-Sep 2024

    FDP

    • NPTEL-AICET FDP: 12 Weeks Course on "Cloud Computing" Jan-April 2024
    • NPTEL-AICET FDP: 8 Weeks Course on "Cloud Computing and Distributed system" Jan-April 2024
    • NPTEL-AICET FDP: 8 Weeks Course on "Edge Computing" Jan-March 2024
    • NPTEL-AICET FDP: 8 Weeks Course on "Introduction to Machine Learning" July-Sep 2023 
    • NPTEL-AICET FDP: 8 Weeks Course on "Programming, Data Structures and Algorithms Using Python" July-Sep 2023
    • NPTEL-AICET FDP: 4 Weeks Course on "Fundamental of Algorithms: Design and Analysis". 
    • NPTEL-AICET FDP: 12 Weeks Course on "Introduction to Automata, Languages and Computations". Jan-April 2023 
    • NPTEL-AICET FDP: 4 Weeks Course on "Python for Data Science". Jan-Feb 2023
    • Participated in the faculty development program (FPD) on Machine Learning for Mining Software Repositories, conducted by School of Computer Science and Engineering (SCOPE) and School of Electronics Engineering (SENSE) during May 11-13, 2023, at Vellore Institute of Technology Chennai.  
    • Attended two days faculty induction program organized by the Internal Quality Assurance Cell (IQAC) of MITS Gwalior on 28th & 29th Jan 2023 and secured (B+) Grade.

    GATE Qualified (2011, 2012,). 

    • Received MHRD Scholarship in the tenure of M.Tech.

    UGC-NET (Dec 2012).

    • Received MHRD Scholarship in the tenure of Ph.D.
    •  
  • Publications:

    Journals

    • Agrawal, R., Singh, N.P., Shelke, N.A. et al. CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19616-8. [Springer, SCIE] [Q1, IF:3.0].

     

    • Rohit Agrawal, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Umesh Gupta, “A Secure Image Authentication Technique based on Sparse Approximation and Quantum Mechanism”, Digital Signal Processing, 104419, doi: https://doi.org/10.1016/j.dsp.2024.104419. [Elsevier, SCIE] [Q2, IF:2.9].
    • Rohit Agrawal,  Kapil Ahuja,  Dhaarna Maheshwari, Mohd Ubaid Shaikh, Mohamed Bouaziz, And Akash Kumar, “ParaLarH: parallel FPGA router based upon Lagrange heuristics”, IEEE Access, https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10301420, doi: 10.1109/ACCESS.2023.3328769, Sep 2023. [IEEE, SCIE] [Q1, IF:3.9].

     

    • Kuldeep Narayan Tripathi, Gagandeep Kaur, Nitin Arora, and Rohit Agrawal, “An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression”, Journal of Grid Computing. [Springer, SCIE] [Q1, IF:5.5]. Doi: https://doi.org/10.1007/s10723-023-09680-z

     

    • R. Agrawal and K. Ahuja, “CSIS: Compressed Sensing-based Enhanced-Embedding Capacity Image Steganography Scheme”, IET Image Processing, WILEY, 15, 1909–1925, 2021, doi: https://doi.org/10.1049/ipr2.12161. [Impact Factor: 1.773]

     

    • Agrawal R, Ahuja K, Steinbach MC, Wick T. 2022. SABMIS: sparse approximation based blind multi-image steganography scheme. PeerJ Computer Science 8:e1080 https://doi.org/10.7717/peerj-cs.1080

     

    • R. Agrawal, K. Ahuja, C. H. Hoo, T. D. A. Nguyen and A. Kumar, “ParaLarPD: Parallel FPGA Router using Primal-Dual Sub-Gradient Method”, Electronics, MDPI, 8, 1439, 2019, doi: https://doi.org/10.3390/electronics8121439. [Impact Factor: 2.690]

     

    • A. K. Pal, K. Naik and R. Agrawal, “A Steganography Scheme on JPEG Compressed Cover Image with High Embedding Capacity”, The International Arab Journal of Information Technology, 16(1), 116–124, 2019. doi: 10.34028/iajit [Impact Factor: 1.12]

     

    • K. Naik, A. K. Pal and R. Agrawal, “Selective Image Encryption using Singular Value Decomposition and Arnold Transform”, The International Arab Journal of Information Technology, 15(4), 739–747, 2018. doi: 10.34028/iajit [Impact Factor: 1.12]

    Journal Paper (Technical Report)


    R. Agrawal, K. Ahuja, D. Maheshwari, A. Kumar and M. Bouaziz, “ParaLarH: Parallel FPGA Router
    based upon Lagrange Heuristics”, Preprint arXiv:2010.11893, October 2020.

    Book Chapter

    R. Agrawal, A. A. Shastri, K. Ahuja, A. Perreard and J. Gujral, “An Apache Giraph Implementation of Distributed ADMM for Solving LASSO Problems”, In: A. Tiwari et al. (Eds.). Soft Computing for Problem Solving: Proc. of SocProS’20, Springer, Indore (India), pp 547–556, 2021, doi: 10.1007/978 −981 − 16 − 2712 − 5 44 (book chapter).

    Refereed Conference

    G. Kitukale, N. A. Shelke, R. Agrawal, N. P. Singh and S. Quamara, "Predicting Knee Osteoarthritis using Deep Neural Network," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: 10.1109/I2CT61223.2024.10543978.

    K. N. Tripathi, J. Patel, R. Agrawal, R. K. Singh and A. Shastri, "An ANOVA Based Analysis of Routing Techniques for Improving QoS in Flying Ad-Hoc Networks (FANETs)," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 524-529, doi: 10.1109/DICCT61038.2024.10532904.

    Tripathi, K. N., Gupta, S., Agrawal, R., Kaur, G., & Singh, R. K. (2023, September). Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs). In  sep 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT) (pp. 1-6). IEEE.doi: 10.1109/CISCT57197.2023.10351411

    A. S. Jadon, M. Parmar and R. Agrawal, "Hinglish Sentiment Analysis: Deep Learning Models for Nuanced Sentiment Classification in Multilingual Digital Communication," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 318-323, doi: 10.1109/DICCT61038.2024.10533057.


     K. Rahul, R. Agrawal and A. K. Pal, “Color image quantization scheme using DBSCAN with K-means algorithm”, In Proceedings of the 1st International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2013), Springer, 1037–1045, 2014, doi: 10.1007/978 − 81 − 322 − 1665 − 0 106.

    Posters

    • Parallel FPGA Router using Subgradient and Steiner tree, Industry Academia Conclave-2017 (IAC-2017),
    IIT Indore, Sep 05-07, 2017.
  • Complete Resume:

    https://drive.google.com/file/d/10yurmiZp2o4G9gNWNTN5b8aMw-ZDP0ld/view?usp=sharing

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