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. Abhishek Bhatt
Dr. Abhishek Bhatt

Dr. Abhishek Bhatt

Designation:  Assistant Professor 
Qualification: B.E., M. Tech., Ph.D. (IIT Roorkee) 
Area of Interest: Machine Learning, Pattern Recognition
Phone No: +91-90
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: With an experience of more than 15 years in teaching, he has authored more than 70 journal/conference research papers and reviews the papers submitted to some top-notch journals like IEEE Access, and IEEE Transactions, etc. He has delivered lectures in several Universities/ Industrial Organizations in India and abroad. He is an active member of various societies like IEEE, IET, and IETE. He is also an academic council member of the CTMS Society. He is associated with the Board of studies of various engineering institutes in India and abroad. He has chaired various international conferences in India and abroad. He has worked with some of the top-notch companies like Samsung Research Institute Bangalore on various research projects in the domain of Machine Learning and Deep Learning for different industrial problems. His current research interests include Data Science, Machine Learning, Deep Learning, Computer Vision, Pattern Recognition, IoT, and Cloud Computing.
  • Education and Qualification:

    B.E., M.Tech., Ph.D. (Indian Institute of Technology, Roorkee) 
  • Work Experience:

    15+ years of work experience of teaching at some of the top notch educational institutes in India, like College of Engineering Pune; Symbiosis, Pune; etc.
  • Administrative Experience:
    • Working as a core committee member for various portfolios that include industry visit, ranking framework (NIRF, ARIIA etc.), MOOCs coordinator, NAAC coordinator, and NBA coordinator at the department as well as institute level with College of Engineering Pune.
    • SPOC for Samsung Research, TCS Research, Solytics Partners at COEP Tech Pune.
    • Developed a course of PGDIoTEP (PG Diploma in IoT and Embedded Programming) at College of Engineering Pune in association with KPIT, Millenium Semiconductors, and Aplha ICT.
    • Chairman of BoS at Symbiosis Skills and Professional University, Pune  for school of Data Science.
    • General Chair for the International conference CVR-2024 held at Symbiosis Skills and Professional University Pune in May-2024.
    • General Chair for the International conference CVR-2025 going to be held at NIT, Goa.
  • Research Supervision:

    No. of PG thesis Guides 25+ in the domain of Machine Learning, Computer Vision, Time series analysis, Deep Learning etc.
  • Research Projects, Consultancy & Patents:
    • Title: A System and Method for Secure and Competent Energy-Aware Routing in Spontaneous Wireless Sensor NETWORK, Patent No.: 202021052979; Date of Award: 12/02/2021 Awarding Agency: IP India, Status: Published
    • Title: Multimode Image Fusion Technique for Automated Correlation Identification in Medical Images, Patent Reference No.: 2021105871; Date of Award: November 03, 2021, Awarding Agency: IP Australia, Status: Granted
    • Title: Responsible system based on artificial intelligence for intelligent and climate-friendly energy production, Patent Reference No.: 20 2022 105 963.2; Date of Award: November 22, 2022, Awarding Agency: IP Germany, Status: Granted
    • An intelligent pose recommendation system using feature fusion for humans’ (A US patent filed in collaboration with Samsung Research Institute, Bangalore, and College of Engineering Pune), Status: Filed
  • Honors, Award & Recognition:
    1. Session conducted on the topic “AI & ML research strategies” as resource person during Five days ATAL FDP on “Artificial Intelligence and Machine Learning” at JSPM's Jayawantrao Sawant College of Engineering, Hadapsar, Pune, Department of CSE on 05th February 2024
    2. Session conducted on the topic “Cloud platforms for IoT applications” as resource person during Five days ATAL FDP on “Evolving Industrial Applications of IOT and AI: Theoretical and Practical Approach” at COEP Technological University, Pune, Department of E & TC on 08th January 2024
    3. Session Chair in IEEE- PuneCon-2023 jointly organized by COEP Technological University, Pune, and IEEE Pune section, on dated 15th, December 2023.
    4. Keynote session on “Data Science: Applications and Use cases” at International Conference on 'Recent Trends in Multidisciplinary Innovations (ICRTMI-2023) Corporate Institute of Science and Technology, Bhopal on 30th 2023
    5. Session conducted on the topic “Introduction to Artificial Intelligence and Machine learning for Mechanical Engineers” as resource person during Five days ATAL FDP on “Exploring Perspectives of AI and ML in Mechanical Engineering” at Mechanical Engineering Department, K. K. Wagh Institute of Engineering Education and Research Nashik, on 27th 2023.
    6. Session Chair at 7thInternational Conference on Computing, Communication, Control, and Automation (ICCUBEA – 2023), organized by PCET’s Pimpri Chinchwad College of Engineering (PCCoE), Pune Technically co-sponsored by IEEE Pune Section on 18th August 2023.
    7. Expert Lecture delivered on “Entrepreneurship and Innovation Management Concepts”, organized by IIC - Ministry of Education and IES foundation for Incubation & Entrepreneurship, Bhopal on dated 19th October 2022.
    8. Session conducted on the topic “Data Science and Computer Vision” as resource person during Two weeks of offline FDP on “Data Science” under AICTE-AQIS at Department of E & TC, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, from 14th to 15th June 2022.
    9. Expert Lecture delivered on the topic “Image Enhancement and Pseudo Coloring” at Sharad Institute of Technology College of Engineering, Kolhapur, Department of E & TC, on 10th June 2022.
    10. Session conducted for the topic “Cloud Platforms for utilizing IoT Data” as resource person during AICTE Idea Lab Sponsored one-week advanced Faculty Development Program on “Electronics System Design” at college of Engineering Pune, Department of E & TC on 6th June 2022.
    11. Session Chair at International Conference on Recent Advances in Materials, Manufacturing and Machine Learning (RAMMMl-2022) held at YCCE, Nagpur in association with The Institution of Engineers, on dated 27th, April 2022.
    12. Expert Lecture delivered on the topic “Image Analysis with Python and Deep Learning Concepts” at Walchand college of Engineering, Sangli, Department of IT, on 26th March 2022.
    13. Session conducted on the topic “Deep Learning for Computer Vision” as resource person during Five days online FDP on “Emerging trends in Computational Intelligence (COIN-2022)” at Babu Banarasi Das Northern India Institute of Technology, Lucknow, Department of CSE on 16th February 2022.
    14. Session conducted on the topic “Cloud Computing for IoT Platforms” as resource person during Five days online ATAL FDP on “Internet of Things” at Technocrats Institute of Technology Bhopal, Department of E & TC on 12th February 2022.
    15. Session conducted on the topic “classification algorithms” as resource person during five days FDP on “Data Analytics using python” at college of Engineering Pune, Department of CSE from 23rd December 2021.
    16. Session Chair at 3rd International Conference on Machine Intelligence and Signal Processing held at NIT, Arunachal Pradesh on dated 23rd – 25th September 2021.
    17. Session Chair at 10th IEEE International conference, CSNT2k21 held at OIST, Bhopal in association with AICTE and IEEE MP section on dated 18th – 19th June 2021.
    18. Expert Lecture delivered on “Machine Learning application for image Processing” organized by IIIT, Bhopal on dated 23rd March 2021.
    19. Expert Lecture delivered on “IETE expert talk on Green Communication: A futuristic Concept”, organized by IETE student Branch and IES college of technology, Bhopal on dated 31st December 2020.
  • Workshop/Conference/Organized/Attended:
    1. Patil, A., Ingale, J., Upadhye, A., Jaiswal, S., Kakade, S., & Bhatt, A. (2023, June). Deep Learning-based approach for Indian License Plate Recognition using Optical Character Recognition. In 2023 IEEE Guwahati Subsection Conference (GCON)(pp. 1-5). (IEEE)
    2. Auti, R., Bhatt, A. and Tidake, S., 2023, November. Comparative Analysis of Machine Learning Algorithms for Genomic Data. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-6). (IEEE).
    3. Akhade, M., Mahapatra, B. and Bhatt, A., 2023, November. Sentiment Analysis Using NLP & Deep Learning on Social Media Tweets. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-6). (IEEE).
    4. Shinde, S., Kulkarni, S., Kulkarni, P. and Bhatt, A., 2023, November. Machine learning Based Clustering Using Spotify Audio Features. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-5). (IEEE).
    5. Gabda V., Tidake S., Bhatt A., 2023, November. A CNN Based Approach for Depression Detection. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-5). (IEEE).
    6. Taware P., Patil S., Sargar S., Anchlia M., and Bhatt A., “An Intelligent Human Pose Recommendation System using feature fusion technique”, in 3rd International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2022) during Nov 24-25, 2022, by Manipal University Jaipur. (Springer)
    7. Dalvi T. and Bhatt A., A Deep learning-based approach for Automatic detection of Hurricane damage using satellite images, 2023 8th International Conference on Convergence of Technology (I2CT) organized by IEEE Bombay Section from 07 – 09 April 2023. (IEEE)
    8. Chavan P., and Bhatt A., “Performance analysis of Machine Learning Algorithms for Rainfall Prediction: A case study of Pune, Maharashtra” in 2022 IEEE Pune Section International Conference (IEEE PuneCon- 2022) Jointly organized by IEEE Pune Section in association with Persistent Systems at IIIT Pune from 15 – 17 December 2022. (IEEE)
    9. Tejal Rane and Abhishek Bhatt, "A Deep learning-based regression scheme for angle estimation in image dataset" in 5th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R-2022) Texas A&M University Kingsville, Texas (USA), December 1-2, 2022. (Springer) https://doi.org/10.1007/978-3-031-23599-3_21
    10. Khanvilkar D., and Bhatt A., “Skin Cancer Detection from RGB Images using LBP and HOG Texture Feature Descriptors with help of Machine Learning Algorithm” in 2nd International Conference on Signal and Information Processing (IConSIP-2022) College of Engineering Pune, Pune, India, August 25-27, 2022. (IEEE).
    11. Shastri P., Patil C., Wanere P., Mahajan S. and Bhatt A., “Adversarial synthesis-based data-augmentation for Speech classification” in 2nd International Conference on Signal and Information Processing (IConSIP-2022) College of Engineering Pune, Pune, India, August 25-27, 2022. (IEEE).
    12. Chatufale A., Rege P. P., Bhatt A., “Extraction of waterbody using object-based image analysis using XGboost”, in 3rd International Conference on Machine Intelligence and Signal Processing held at NIT ARUNACHAL PRADESH, INDIA from September 23-25, 2021 (Springer)
    13. Bhatt A., Ghosh S. K., Kumar A., “Automated Change Detection in Satellite Images Using Machine Learning Algorithms for Delhi”. 2015 IEEE International Geoscience & Remote Sensing Symposium (IGARSS), July 26-31, Milan, Italy, pp.1678–1681, DOI: 1109/IGARSS.2015.7326109. (IEEE) Print ISSN: 2153-6996 Electronic ISSN: 2153-7003 (IEEE)
    14. Gajbhiye, D. Sen, A. Bhatt, and G. Soni, “DPLPLN: Detection and Prevention from Flooding Attack in IoT,” 2020, doi: 10.1109/ICOSEC49089.2020.9215381. (IEEE)
    15. Ahmad, T. Ahmad, A. Bhatt, and S. Siddiqui, “A Shapley value approach for community detection in social network,” 2019, doi: 10.1007/978-981-13-2254-9_22. (IEEE)
  • Publications:
    1. Bhatt, Abhishek, et al. "Quantum-Inspired Vortex Search Algorithm with Deep Neural Networks for Multi-Pose Facial Expression Recognition." International Journal of Modern Physics C (2024). (World Scientific) https://doi.org/10.1142/S0129183124501535 (SCI/IF-1.9)
    2. Bhatt, A., and Bhatt, V.T., 2023. Dcrff-Lhrf: an improvised methodology for efficient land-cover classification on eurosat dataset. Multimedia Tools and Applications, pp.1-25. https://doi.org/10.1007/s11042-023-17612-y (Springer) (SCI/IF=3.6)
    3. Gill, H.S., Murugesan, G., Mehbodniya, A., Sajja, G.S., Gupta, G. and Bhatt, A., Fruit type classification using deep learning and feature fusion. Computers and Electronics in Agriculture, 211, p.107990. (2023), https://doi.org/10.1016/j.compag.2023.107990 (Elsevier) (SCI/IF=8.3)
    4. Bhatt, A., Choubey, S.B., Choubey, A.  Computer vision-based predictive analysis of chronic cardiovascular disease using heartbeat features. Multimedia Tools and Applications (2022), https://doi.org/10.1007/s11042-022-14020-6. (Springer) (SCI/IF=3.6)
    5. Roy, S., Binu, D., Rajakumar, B.R., Talasila, V. and Bhatt, A., Super Resolved Maize Plant Leaves Disease Detection Using Optimal Generative Adversarial Network. International Journal of Image and Graphics, p.2450003https://doi.org/10.1142/S0219467824500037 (World Scientific) (SCI/IF=1.6)
    6. Tamboli, S.S., Butta, R., Jadhav, T.S. and Bhatt, A., Optimized active contor segmentation model for medical image compression. Biomedical Signal Processing and Control, 80, p.104244. https://doi.org/10.1016/j.bspc.2022.104244 (Elsevier) (SCI/IF=5.1)
    7. Bhatt A., and Thakur. V. "An Optimized Deep Belief Network for Land Cover Classification Using Synthetic-Aperture Radar Images and Landsat Images." The Computer Journal(2022), Oxford University Press. https://doi.org/10.1093/comjnl/bxac077  (Oxford Academic)(SCI/IF=1.494)
    8. Gill, H.S., Murugesan, G., Khehra, B.S., Sajja, G.S., Gupta, G. and Bhatt, A., Fruit recognition from images using deep learning applications. Multimedia Tools and Applications, pp.1-22. (Springer) https://doi.org/10.1007/s11042-022-12868-2 (SCI/IF=3.6)
    9. Natarajan, R., Mehbodaniya, A., Rane, K.R., Jindal, S., Hasan, M. F., Vives, L. and Bhatt, A., Intelligent Gravitational Search Random Forest Algorithm for Fake News Detection. International Journal of Modern Physics C. https://doi.org/10.1142/S012918312250084X (World Scientific) (SCI/IF-1.9)
    10. Al Kafy, A.., Abdullah-Al-Faisal, Al Rakib, Bhatt A., et.al., The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh. Applied Geomatics13, no. 4 (2021): 793-816. https://doi.org/10.1007/s12518-021-00390-3 (Springer) (SCI/IF=2.7)
    11. Vives, L., Tuteja, G.S., Manideep, A.S., Jindal, S., Sidhu, N., Jindal, R. and Bhatt, A., A Novel Hybrid Approach of Gravitational Search Algorithm and Decision Tree for Twitter Spammer Detection. International Journal of Modern Physics C, C 33, no. 05 (2022): 2250060. https://doi.org/10.1142/S0129183122500607(World Scientific) (SCI/IF-1.9)
    12. Bhatt, A., Alam, T., Rane, K.P., Nandal, R., Malik, M., Neware, R., and Goel, S., 2021. Quantum-Inspired Meta-heuristic Algorithms with Deep Learning for Facial Expression Recognition under Varying Yaw Angles. International Journal of Modern Physics C, C33, no. 04 (2022): 2250045 https://doi.org/10.1142/S0129183122500450 (World Scientific) (SCI/IF-1.9)
    13. Rathore, N.K., Pandey, D., Doewes, R.I., Bhatt, A., A Novel Security Technique Based on Controlled Pixel Based Encryption of Image Blocks for Sharing a Secret Image. Wireless Pers Communications, 121(1), pp.191-207 (2021). https://doi.org/10.1007/s11277-021-08630-w (Springer) (SCI/IF-2.2)
    14. Khan, S. I., Choubey, S. B., Choubey, A., Bhatt, A., Naishadhkumar, P. V., & Basha, M. M. (2021). Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning. Concurrent Engineering, 30(1), pp.103-115 https://doi.org/10.1177/1063293X211026620 (SAGE) (SCI/IF-2.5)
    15. Wadhwa, A. Bhatt, H. Patel, D. S. Rajput, and P. Chouksey, “Image Classification of Various Pet Breeds using Transfer Learning Approach,” Agrociencia J., vol. 54, no. 7, pp. 17–25, 2020. (The Colegio de Postgraduados) (SCIE/ IF- 0.370)
    16. Bhatt A., Ghosh S. K., Kumar A. “Spectral indices-based object-oriented classification for change detection using satellite data,” Int J Syst Assur Eng Manag (2016). Springer India, February 2018, Volume 9, Issue 1, pp 33–42 ISSN: 0975-6809 (Print) 0976-4348 (Online) https://doi.org/10.1007/s13198-016-0458-7. (Springer) (SCI/IF=2.0)
    17. Lalotra, Gotam Singh, Vinod Kumar, Abhishek Bhatt, Tianhua Chen, and Mufti Mahmud. "iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network." Security and Communication Networks2022 (2022). (Wiley) https://doi.org/10.1155/2022/9149164  (Scopus)
    18. Bhatt A, Shankar R, Niedbała G, Rupani A. Investigation of the Non-Orthogonal Multiple Access System Using Long Short-Term Memory Based Deep Neural Network. International Journal Of Computing and Digital System. 2021 Aug 18. (Scopus & ESCI) https://journal.uob.edu.bh/handle/123456789/4442
    19. Gupta, S., Gupta, A., Pandya, I.Y., Bhatt, A., and Mehta, K., 2021. End-to-end secure e-voting using blockchain & quantum key distribution. Materials Today: Proceedings. ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.07.254. (Scopus)
    20. Kafy AA, Dey NN, Al Rakib A, Rahaman ZA, Nasher NR, Bhatt A. Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm. Environmental Challenges. 2021 Aug. (Scopus) https://doi.org/10.1016/j.envc.2021.100190
    21. Bhatt and Fatima, “Architecture of 2X2 FIR Filter using Vedic Multiplier and Brent-Kung Adder,” Int. J. Innov. Technol. Explore. Eng., vol. 9, no. 5, pp. 1638–1642, Mar. 2020, doi:10.35940 /ijitee.e3070.039520. (Scopus)
    22. Abhishek Bhatt, Pooja Kotkar, Dr. Pradeep Chouksey, Prof. Pooja Rai, “Implementation of UWB Band Pass Filter Using Stub Resonator and drill out the best simulation outcome” High Technology Letters Volume 26 Issue 8 Pages 918-926 ISSN: 1006-6748 (Scopus)
    23. Abhishek Bhatt, Pooja Kotkar, Dr. Pradeep Chouksey, Prof. Pooja Rai, “Universal Filtered Multicarrier (UFMC) Transmitter-Implementation using FFT and FIR Filter” High Technology Letters Volume 26 Issue 8 Pages 911-917 ISSN: 1006-6748 (Scopus)
    24. Gupta, A. Bhatt, V. T. Bhatt, “BER and Spectrum Efficiency Analysis of Massive MIMO Systems for IoT Application” International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878 Volume 8, Issue 4, Pages 10587-10591, doi:10.35940/ijrte.D8723.118419 (Scopus)
    25.  

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