Dr. Abhishek Bajpai

Assistant Professor

Dr. Abhishek Bajpai

Assistant Professor

Personal Information

Dr. Abhishek Bajpai is a distinguished academic and researcher specializing in wireless communication and computing. He holds a PhD in Computer Science and Engineering, a Master’s degree in Wireless Communication and Computing from the prestigious Indian Institute of Information Technology, Allahabad (IIIT-A), and a Bachelor’s degree in Information Technology, graduating with First Class honours. Dr. Bajpai is an Assistant Professor in the Department of Computer Science and Engineering at Government Engineering College, Kannauj, Uttar Pradesh, India, where he brings extensive teaching, research, and academic leadership experience.

Dr. Bajpai’s research interests focus on cutting-edge domains such as wireless computing, machine learning, and cloud computing. He has significantly contributed to these fields through numerous publications in high-impact international journals and conferences. His scholarly expertise is further recognized through his active involvement as a peer reviewer for leading publications, including Elsevier, Springer, and IEEE, and his service on the editorial boards of reputable academic journals.

A professional contributor, Dr. Bajpai is a member of prominent organizations like IEEE and ACM. He is also a life member of notable scientific and professional bodies, including the Computer Society of India (CSI), the Indian Science Congress, the Computer Science Teachers Association (CSTA) USA, and MIR Lab USA. Additionally, he regularly serves on the Technical Program Committees of various international conferences, contributing to advancing research and technology in his expertise. A deep commitment to academic excellence and technological innovation marks his distinguished career.

Research Information

Patents

Indian Patent “A method to detect Sybil attack in VANET using signal and time-based fuzzy cluster scheme,” published in Oct 2021

South African Patent “An Effective Method for Detecting and Preventing Malicious Node for Collaborative Grayhole Threats in Mobile Ad-Hoc Networks” granted in March 2022.

German Patent “An evolutionary neuro-fuzzy system using evolutionary fuzzy clustering and syndicated neural networks” granted in November 2022

Indian Patent “Smart Book for tracking students learning process,” granted in Sep2024

Research Projects

Name: Real-Time Water Quality monitoring of Ganga at Kannauj using an IOT
Environment
Role: Co-PI
Duration – 2 Years
Funding Agency: Visvesvaraya Scheme, AKTU Lucknow

Name: A Pilot Project to Improve Potato Productivity in The Village, Aher Kannauj
Using an IoT-Based Deep Learning Framework
Role: Principal Investigator
Duration- 3 Years
Funding Agency: UP CST

Journal Papers

1. Bajpai, A., Chaurasia, D., & Tiwari, N. (2024). A novel methodology for anomaly
detection in smart home networks via Fractional Stochastic Gradient
Descent. Computers and Electrical Engineering, Elsevier,119, 109604. (SCI IF =4.0)
2. Tiwari, N. K., Bajpai, A., Maurya, S., & Chaurasiya, D. (2024). Efficient Forwarding
Rule Management in Software Defined Network via Subnet-Based Pattern
Matching. SN Computer Science, 5(6,) Springer, 1-12.
3. Bajpai, A., Tiwari, N., Yadav, A., Chaurasia, D., & Kumar, M. (2024). Enhancing
Underwater Object Detection: Leveraging YOLOv8m for Improved Subaquatic
Monitoring. SN Computer Science, Springer 5(6), 1-10.
4. Patel, R., Chauhan, J., Tiwari, N. K., Upadhyay, V., & Bajpai, A. (2024). A Deep
Learning Framework for Hourly Bitcoin Price Prediction Using Bi-LSTM and
Sentiment Analysis of Twitter Data. SN Computer Science, Springer, 5(6), 767.
5. Bajpai, A., Verma, H., & Yadav, A. (2024). Optimising data aggregation and
clustering in Internet of Things networks using principal component analysis and
Q-learning. Data Science and Management, Elsevier 7(3), 189-196.
6. Gupta, D., Bajpai, A., Tiwari, N. K., & Yadav, S. (2024). Energy-Efficient Routing
Optimization for Underwater Internet of Things using Hybrid Q-Learning and
Predictive Learning Approach. Procedia Computer Science, Elsevier, 235, 45-55.
7. Abhishek Bajpai and Titiksha Tyagi. "An Efficient Approach to Detect and Predict
the Tomato Leaf Disease Using Enhance Segmentation Neural Network." SN
Computer Science 4.6 (2023): 795.
8. Abhishek Bajpai, Mansi Chaurasia “A Novel Power-Efficient Data Aggregation
Scheme for Cloud-Based Sensor Networks. “International Journal of Mobile Computing
and Multimedia Communication 13.4 (2022)
9. Abhishek Bajpai and Shivangi Nigam. "An Effective Computing Service Provider
using Virtual Cloud in Ad-hoc Network." International Journal of Wireless and Mobile
Computing 17.2 (2019): 136-141
10. Vijay Shankar Pandey and Abhishek Bajpai “Predictive Efficiency of ARIMA and
ANN model: A Case Analysis of Nifty-Fifty in Indian Stock Market.”, International
Journal of Applied Engineering Research Vol 14 (2), 232-244 (2019); ISSN:0973-4562
11. Abhishek Bajpai, Shivangi Nigam. “A Study on the Techniques of Computational
Offloading from Mobile Devices to Cloud," Advances in Computational Sciences and
Technology Vol 10, No. 7, pp. 2037-2060 (2017); ISSN 0973-6107.
12. Shivangi Nigam and Abhishek Bajpai. "An Optimal Resource Provisioning
Algorithm for Cloud Computing Environment." Oriental Journal of Computer Science
& Technology, Vol. 10, No.2, pp. 371-384 (2017); ISSN:0974-6471. DOI:
http://dx.doi.org/10.13005/ojcst/10.02.17
13. Shivangi Nigam, Abhishek Bajpai, Neeraj Kumar Tiwari. “Signal and Time-Based
Fuzzy Cluster Scheme to Detect Sybil Attack in VANET” International Journal on
Computer Science and Engineering, Vol. 9 No.07, pp. 452-458 (2017); ISSN: 2229-5631.
14. Chandra Kishor Pandey, Neeraj Kumar, Vinay Kumar Mishra and Abhishek
Bajpai." Identifying Various Roadways Obstacles in Infrastructure Less
Environment Using Depth Learning Approach", Oriental Journal of Computer Science
& Technology, Vol.10, No.3,2017, pp.585-592, (2017); ISSN: 09746471.DOI:
http://dx.doi.org/10.1300/ojcst/10.03.05
15. Samriddhi Gupta, Abhishek Bajpai, and Neeraj Kumar Tiwari. "Dynamic Load
Balancing in Cloud Computing Using Ant Colony Optimization." International
Journal of Scientific Research in Science, Engineering and Technology (2017);
ISSN:23944099.
16. Jaida Khatoon, Abhishek Bajpai, and Neeraj Kumar Tiwari. " Malicious Node
Detection in Vehicular Cloud Computing", International Journal of Scientific Research
in Science, Engineering and Technology (2017); ISSN: 23944099.
17. Abhishek Bajpai and Shivangi Nigam. "An Optimized Approach in Digital Gateway
of Toll Tax Collection Using RFID Card.", International Journal for Science and
Research in Technology (2017); ISSN:2395-1052.
18. Bineet Kumar Gupta, Neeraj Kumar and Abhishek Bajpai. "Integrating User-
Centered Design Process and Ergonomics of Human-Computer Interaction to
Assist Data Quality Issues “, International Journal of Advanced Studies in Computers,
Science & Engineering (2017), ISSN: 2278 7917
19. Shukla, Ashutosh, Vijay Shankar Pandey, and Abhishek Bajpai. "A Pilot Study on
Enigma of Smart Cities and Urban Poor Migrants. " International Journal for Research
in Engineering Application & Management, Population Vol 3(8),25-80 (2017) ISSN: 2454-
9150

Conference Papers (National /International)

1. Bajpai, A., Sahu, S., Tiwari, N., Srivastava, V., & Yadav, S. (2024, August). An
Efficient Approach for Potato Leaf Disease Classification Using Cascaded CNN-
Transformers. In 2024 IEEE 12th International Conference on Intelligent Systems
(IS) (pp. 1-6). IEEE.
2. Bharti, R., Srivastava, V., Bajpai, A., & Sahu, S. (2024, July). Comparative Analysis of
Potato Leaf Disease Classification Using CNN and ResNet50. In 2024 International
Conference on Data Science and Its Applications (ICoDSA) (pp. 87-91). IEEE.
3. Gupta, A., Mishra, P., Tiwari, N. K., Bajpai, A., & Yadav, S. (2024, June). Pneumonia
Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional
Neural Networks. In 2024 IEEE Students Conference on Engineering and Systems
(SCES) (pp. 1-6). IEEE.
4. Singh, L., Chaurasia, D., Tiwari, N. K., Upadhyay, V., & Bajpai, A. (2024, April).
Driver's Seat Belt Detection Using CNN-SVM: A Hybrid Approach. In 2024 IEEE
13th International Conference on Communication Systems and Network Technologies
(CSNT) (pp. 898-904). IEEE.
5. Tiwari, N. K., Bajpai, A., Srivastava, V., Yadav, S., & Tiwari, N. (2024, April).
Integrating Pretrained CNN and SVM for Improved Lung Cancer Classification.
In 2024 IEEE 13th International Conference on Communication Systems and Network
Technologies (CSNT) (pp. 922-927). IEEE.
6. Pandey, A., Srivastava, V., Yadav, S., Tiwari, N., Patro, B. D. K., & Bajpai, A. (2023,
November). Handwritten Signature Detection and Verification Using CNN.
In International Conference on Trends in Computational and Cognitive Engineering (pp.
381-388). Singapore: Springer Nature Singapore.
7. Bajpai, A., Maurya, A., & Yadav, A. (2023, July). A Hybrid Approach for Enhancing
Data Aggregation Security on the Internet of Medical Things. In 2023 14th
International Conference on Computing Communication and Networking Technologies
(ICCCNT) (pp. 1-6). IEEE.
8. Rai, H., Bajpai, A., Tyagi, M., & Dubey, K. (2023, July). Parkinson’s disease detection
using a novel weighted ensemble of CNN models. In 2023 14th International
Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-
6). IEEE.
9. Bajpai, A., Srivastava, V., Yadav, S., & Sharma, Y. (2023, July). Multiple Flying
Object Detection using Alex Net Architecture for Aerial Surveillance Applications.
In 2023 14th International Conference on Computing Communication and Networking
Technologies (ICCCNT) (pp. 1-6). IEEE.
10. Bajpai, A., & Yadav, A. A Novel Approach for Secure Data Aggregation Scheme in
Battlefield Surveillance Using Elliptic Curve Cryptography. In International
Conference on Cryptology & Network Security with Machine Learning (pp. 265-277).
Singapore: Springer Nature Singapore.
11. Bajpai, A., Rai, H., & Tiwari, N. (2023, March). An Efficient CNN-based Method for
Classification of Red Meat Based on its Freshness. In International Conference on
Machine Learning, IoT and Big Data (pp. 393-405). Singapore: Springer Nature Singapore.
12. Bajpai, A., Tyagi, M., Khare, M., & Singh, A. (2023, August). A Robust and Accurate
Potato Leaf Disease Detection System Using Modified Alex Net Model. In 2023 9th
International Conference on Computer and Communication Engineering (ICCCE) (pp. 264-
269). IEEE.
13. Patel, S., Srivastava, V., & Bajpai, A. (2023, March). Three-Fold Classification Using
Shift Invariant Deep Neural Network. In 2023 9th International Conference on
Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 787-791). IEEE.
14. Bajpai, A., Tiwari, N. K., Tripathi, A. K., Tripathi, V., & Katiyar, D. (2023, April).
Early leaf disease prediction in Paddy crop using Deep learning model. In 2023 2nd
International Conference on Paradigm Shifts in Communications Embedded Systems,
Machine Learning and Signal Processing (PCEMS) (pp. 1-6). IEEE.
15. Agrawal, N., Bajpai, A., Dubey, K., & Patro, B. D. K. (2023, April). An Effective
Approach to Classify Fraud SMS Using Hybrid Machine Learning Models. In 2023
IEEE 8th International Conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
16. Bajpai, A., Sinha, S., Yadav, A., & Srivastava, V. (2023, June). Early Prediction of
Cardiac Arrest Using Hybrid Machine Learning Models. In 2023 17th International
Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
17. Tiwari, N. K., Kushwaha, A., Kumar, L., & Bajpai, A. (2023, April). An Ensemble
Heterogeneous Hybrid Model for Fake News Detection. In 2023 IEEE 12th
International Conference on Communication Systems and Network Technologies
(CSNT) (pp. 954-960). IEEE.
18. Patel, Sakshi, Vivek Srivastava, and Abhishek Bajpai. "Three-Fold Classification
Using Shift Invariant Deep Neural Network." 2023 9th International Conference on
Advanced Computing and Communication Systems (ICACCS). Vol. 1. IEEE, 2023.
19. Bajpai, Abhishek, Mohini Tyagi, Bdk Patro, and Shashank Yadav. "Detecting Foliar
Diseases in Potato Crops Through a Network of Convolutional Neurons." In 2023
9th International Conference on Advanced Computing and Communication Systems
(ICACCS), vol. 1, pp. 254-259. IEEE, 2023.
20. Bajpai, A., Srivastava, V., Shuaib, M., Jaiswal, A., Bharany, S., Alam, S., & Ahmad, S.
(2022, December). An Efficient Hybrid Model to Summarize the Text Using Transfer
Learning. In International Conference on Data, Engineering and Applications (pp. 67-76).
Singapore: Springer Nature Singapore.
21. Bajpai, Abhishek, and Tripti Singh. "Localization of the Sensor Nodes in Precision
Agriculture using a Hybrid Model." 2022 IEEE 19th India Council International
Conference (INDICON). IEEE, 2022
22. Bajpai, Abhishek, Anjali Singh, and Abhineet Verma. "An Efficient Method to
Predict the Tata-Motors Stock Price using Hybrid Machine Learning
Methods." 2022 14th International Conference on Computational Intelligence and
Communication Networks (CICN). IEEE, 2022.
23. A. Bajpai, S. Chaubey, B. Patro and A. Verma, "A Real-Time Approach to Classify
the Water Quality of the River Ganga at Mehandi Ghat, Kannuaj," 2022 IEEE
International Conference on Artificial Intelligence in Engineering and Technology
(IICAIET), 2022, pp. 1-6, DOI: 10.1109/IICAIET55139.2022.9936820
24. Abhishek Bajpai and Anjali Singh, “An IoT-based real-time Time-bound medical
solution for patients” National Conference on Digital Nation –organized by Computer
Society of India. ISBN 978-93-5593-719-3
25. Sanjeev Yadav, Rupesh Kumar, Naveen Tiwari and Abhishek Bajpai. “An Effective
Approach to Detect & Prevent Collaborative Grayhole Attack by Malicious Node in
MANET”. 19th International Conference on Intelligent Systems Design & Applications,
Springer, 2020
26. Pranchal Mishra, Ayush Tripathi, Abhishek Bajpai and Naveen Tiwari. “Hybrid
approach for trajectory identification of mobile node via Lagrange interpolation and
Kalman filtering framework”. 19th International Conference on Intelligent Systems
Design & Applications, Springer, 2020
27. Rohan Tyagi, Abhishek Bajpai, BDK Patro, Neelam Srivastava. “An Algorithm to
Generate Largest Prime Number”. Advances in Computing and Intelligent Systems (pp.
79-91). Springer, Singapore, 2020. https://doi.org/10.1007/978-981-15-0222-4_7 , ISBN:
978-981-15-0221-7
28. Rajput, Jyotsna and Bajpai, Abhishek, Study on Deterministic and Probabilistic
Computation of Primality Test (February 24, 2019). Available at
SSRN: https://ssrn.com/abstract=3358737 or http://dx.doi.org/10.2139/ssrn.3358
737
29. Akash Sachan, Shivangi Nigam, and Abhishek Bajpai. "An Energy Efficient Virtual-
MIMO Communication for Cluster-Based Cooperative Wireless Sensor
Network." 9th International Conference on Computing, Communication and Networking
Technologies (ICCCNT). IEEE, pp 1-6,2018.
30. Nigam, Shivangi, Abhishek Bajpai, and Bineet Gupta. "Enhancing Job
Opportunities in Rural India Through Constrained Cognitive Learning Process:
Reforming Basic Education." Intelligent Systems Design and Applications: 17th
International Conference on Intelligent Systems Design and Applications (ISDA 2017) held
in Delhi, India, December 14-16, 2017. Vol. 736. Springer, 2018.
31. Abhishek Bajpai, Shivangi Nigam " Normalized Scores for Routes in MANET to
Analyze and Detect Collaborative Blackhole Attack", 3rd International Conference on
Next Generation Computing Technologies (NGCT-17), UPES, Dehradun,2017
32. Radhika Bakshi, Deeksha Gupta, Neeraj Kumar Tiwari, Abhishek Bajpai. “A Study
on Black Hole Attack in MANET”, Proceeding of International Conference on
Computing, Communication and Control Technology, SRMCEM Lucknow, (2016) pp 62-
70, ISBN:978-93-5258-814-5
33. Abhishek Bajpai, Neeraj Kumar Tiwari, Ashish Upadhyay.” Implementation of
ELMS for Advance Library Management System”, National Conference on Information
Security Challenge NCIS, BBAU Lucknow, (2016) pp1-3, vol II ISBN: 978-93-85304-35-
34. Shruti Singh, Abhishek Bajpai, Suryambika. “A Survey on black hole attack in
MANET”, Proceedings of International Conference on recent cognizance in Wireless
Communication and Image Processing, Poornima University, Jaipur in association with
Springer, (2015) pp 59. DOI 10.1007/978-81-322-2638-3_105, ISBN 978-81-322-2636-9.
35. Suryambika, Abhishek Bajpai, and Shruti Singh. "A Survey on Security Analysis in
Cloud Computing." Proceedings of the International Conference on Recent Cognizance in
Wireless Communication & Image Processing: ICRCWIP-2014. Springer, (2016) DOI:
10.1007/978-81-322-2638-3_105, ISBN 978-81-322-2636-9.

Achievements

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Achievements

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Rajkiya Engineering College Kannauj (REC Kannauj)

Address: Aher, Tirwa Road,
Kannauj, Uttar Pradesh – 209732
Phone: 01345-221301
Email : info@reck.ac.in

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