NAVEEN KUMAR TIWARI
Assistant Professor
- Assistant Professor
- naveen@reck.ac.in
- CV
- Google Scholar
- GitHub
Mr. Naveen Kumar Tiwari is working with Computer Science and Engineering Department of Rajkiya Engineering College Kannauj as Assistant Professor (AP). He has completed M. Tech from IIT Delhi and currently pursuing PhD from NIT Patna. He has a vast experience in education field with more than 5+ years. His research interest included fields of Computer Vision, Machine Learning, and Software Defined Networks.
Personal Information
Mr. Naveen Kumar Tiwari is working with Computer Science and Engineering Department of Rajkiya Engineering College Kannauj as Assistant Professor (AP). He has completed M. Tech from IIT Delhi and currently pursuing PhD from NIT Patna. He has a vast experience in education field with more than 7+ years. His research interest included fields of Computer Vision, Machine Learning, and Software Defined Networks..
Academic Information
M. Tech:
- Institute: Indian Institute of Technology Delhi
- Thesis Title: Forwarding Rule Compression for Inter-Subnet Flows in Software Defined Networks
- Supervisor: Dr. S. C. Gupta & Prof. Huzur Saran
B. Tech:
- Institute: Gautam Buddh Technical University Lucknow (Formerly Uttar Pradesh Technical University)
- Project Title: Cluster Monitoring in Red Hat Linux
Intermediate:
- College: Maharana Pratap Inter College Gorakhpur
- Subjects: Science+Mathematics (District Topper)
Research Information
Patents:
- Tiwari, Naveen Kumar, “SMART BOOK FOR TRACKING STUDENTS’ LEARNING PROGRESS,” Indian Patent, No. 551268
- Tiwari, Naveen Kumar, “An evolutionary neuro-fuzzy system using evolutionary fuzzy clustering and syndicated neural networks,” German Patent, No. DE202022104771U1
- Tiwari, Naveen Kumar, “An effective method for detecting and preventing malicious node for collaborative grayhole threats in mobile ad-hoc networks,” South Africa Patent, No, ZA202,110,308 B
Journals:
- Sharma, Yash, Naveen Kumar Tiwari, and Vipin Kumar Upaddhyay. “EffSVMNet: An efficient hybrid neural network for improved skin disease classification.” Smart Health 34 (2024): 100520. doi: https://doi.org/10.1016/j.smhl.2024.100520
- Bajpai, Abhishek, Divyansh Chaurasia, and Naveen Tiwari. “A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent.” Computers and Electrical Engineering 119 (2024): 109604. doi: https://doi.org/10.1016/j.compeleceng.2024.109604
- Tiwari, Naveen Kumar, Abhishek Bajpai, Sudarshan Maurya, and Divyansh Chaurasiya. “Efficient Forwarding Rule Management in Software Defined Network via Subnet-Based Pattern Matching.” SN Computer Science 5, no. 6 (2024): 1-12. doi: https://doi.org/10.1007/s42979-024-03172-x
- Raj Patel, Jaya Chauhan, Naveen Kumar Tiwari, Vipin Upaddhyay, and Abhishek Bajpai. “A Deep Learning Framework for Hourly Bitcoin Price Prediction Using Bi-LSTM and Sentiment Analysis of Twitter Data.” SN Computer Science 5, no. 6 (2024): 767. doi: https://doi.org/10.1007/s42979-024-03112-9
- Bajpai, Abhishek, Naveen Tiwari, Aditya Yadav, Divyansh Chaurasia, and Mohit Kumar. “Enhancing Underwater Object Detection: Leveraging YOLOv8m for Improved Subaquatic Monitoring.” SN Computer Science 5, no. 6 (2024): 1-10. doi: https://doi.org/10.1007/s42979-024-03170-z
- Deeksha Gupta, Abhishek Bajpai, Naveen Kumar Tiwari, and Smriti Yadav. “Energy-Efficient Routing Optimization for Underwater Internet of Things using Hybrid Q-Learning and Predictive Learning Approach.” Procedia Computer Science 235 (2024): 45-55. doi:https://doi.org/10.1016/j.procs.2024.04.005
- Vipin Kumar Upaddhyay, Sanjay Kumar Soni, and Naveen Kumar Tiwari. “Reliability analysis of cascaded η−μ fading channels.” Transactions on Emerging Telecommunications Technologies 33, no. 12 (2022): e4612. doi:https://doi.org/10.1002/ett.4612
- Rishabh Kashyap, Gaurish Joshi, Shashank Yadav, Mukul Saxena, and Naveen Kumar Tiwari. “A study on analytic resolvent semilinear integro-differential equations with control functions.” International Journal of Nonlinear Analysis and Applications 13, no. 2 (2022): 1685-1692. doi:http://dx.doi.org/10.22075/ijnaa.2022.25726.3110
- Abhishek Bajpai, Shashank Yadav, Naveen Tiwari, Anita Yadav, and Mansi Chaurasia. “A novel power-efficient data aggregation scheme for cloud-based sensor networks.” International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 13, no. 1 (2022): 1-14. doi:https://doi.org/10.4018/IJMCMC.297964
International Conference:
- Bajpai, Abhishek, Shalinee Sahu, Naveen Tiwari, Vivek Srivastava, and Shashank Yadav. “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, 2024. doi: https://doi.org/10.1109/IS61756.2024.10705224
- Bajpai, Abhishek, Shalinee Sahu, Naveen Tiwari, and Anita Yadav. “A Neural Network Approach to Enhance Data Quality and Network Lifetime in IoT-based Smart Agriculture.” In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), pp. 106-111. IEEE, 2024. doi: https://doi.org/10.1109/IICAIET62352.2024.10730035
- Bajpai, Abhishek, Naveen Tiwari, Piyush Rajput, Shalinee Sahu, and Deepak Singh. “Enhanced Potato Leaf Disease Detection via Modified Swin Transformer Architecture.” In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2024. doi: https://doi.org/10.1109/ICCCNT61001.2024.10724512
- Gupta, Aditi, Prachi Mishra, Naveen Kumar Tiwari, Abhishek Bajpai, and Shashank Yadav. “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, 2024. doi: https://doi.org/10.1109/SCES61914.2024.10652501
- Singh, Lavdeep, Divyansh Chaurasia, Naveen Kumar Tiwari, Vipin Upaddhyay, and Abhishek Bajpai. “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, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10545852
- Tiwari, Naveen Kumar, Abhishek Bajpai, Vivek Srivastava, Shashank Yadav, and Neeraj Tiwari. “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, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10546020
- Taneja, Pragati, Rohit Maurya, Naveen Kumar Tiwari, Divyansh Chaurasia, and Shashank Yadav. “Brain Tumor Diagnosis Using Hybrid Pre-trained CNN-SVM.” In 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), pp. 868-873. IEEE, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10546139
- Tiwari, Naveen Kumar, Anurag Kushwaha, Lokesh Kumar, and Abhishek Bajpai. “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, 2023. doi:https://doi.org/10.1109/CSNT57126.2023.10134688
- Bajpai, Abhishek, Naveen Kumar Tiwari, Ashutosh Kumar Tripathi, Vibha Tripathi, and Devesh Katiyar. “Early leaf diseases 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, 2023.doi:https://doi.org/10.1109/PCEMS58491.2023.10136038
- Sudarshan Maurya, Naveen Kumar Tiwari, SC Gupta, Layered Software Defined Networking, Optical and Wireless Technologies, Pages 351-362, Springer, Singapore, ISBN 978-981-10-7395-3, (2018) doi:https://doi.org/10.1007/978-981-10-7395-3_40
Book Chapters:
- Pandey, Ashutosh, Vivek Srivastava, Shashank Yadav, Naveen Tiwari, B. D. K. Patro, and Abhishek Bajpai. “Handwritten Signature Detection and Verification Using CNN.” In International Conference on Trends in Computational and Cognitive Engineering, pp. 381-388. Singapore: Springer Nature Singapore, 2023. doi:https://doi.org/10.1007/978-981-97-1923-5_29
- Bajpai, Abhishek, Harshvardhan Rai, and Naveen Tiwari. “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, 2023. doi:https://doi.org/10.1007/978-981-99-3932-9_34
- Yadav, Sanjeev, Rupesh Kumar, Naveen Tiwari, and Abhishek Bajpai. “An Effective Approach to Detect and Prevent Collaborative Grayhole Attack by Malicious Node in MANET.” In International Conference on Intelligent Systems Design and Applications, pp. 318-335. Springer, Cham, ISBN 978-3-030-49342-4, (2019). doi:https://doi.org/10.1007/978-3-030-49342-4_31
- Mishra Pranchal, Ayush Tripathi, Abhishek Bajpai, and Naveen Tiwari. “Hybrid Approach for Trajectory Identification of Mobile Node via Lagrange Interpolation and Kalman Filtering Framework .” In International Conference on Intelligent Systems Design and Applications, pp. 530-539. Springer, Cham, ISBN 978-3-030-49342-4, (2019). doi:https://doi.org/10.1007/978-3-030-49342-4_51
- Monika Mehra, Sudarshan Maurya, Naveen Kumar Tiwari, “Network Load balancing in Software Defined Network: A Survey.” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 2, 2019. url: https://www.ripublication.com/ijaerspl2019/ijaerv14n2spl_44.pdf
Achievements
Recognitions:
- Technical Program Committee Member & Reviewer, 3rd Congress on Smart Computing Technologies (CSCT 2024) @ National Institute of Technology Sikkim, [14 – 15 December 2024]. https://scrs.in/conference/csct2024/committee/technical-program-committee
- Technical Program Committee Member & Reviewer, “2nd International Conference on Power Engineering and Intelligent System” @ National Institute of Technology Uttarakhand, [16 – 17 March 2024].
- Member of the Organizing Committee, “First International Conference on Financial Perspective” @ Rajkiya Engineering College Kannauj, [24 – 25 March 2022].
- Coordinator (website), “First International Conference on Mathematics and Computation” @ Rajkiya Engineering College Kannauj, [22 – 23 October 2021].
- Organising Committee Member, one week Online Faculty Development Programme on “Meaningful Research and Intellectual Property Rights” @ RAMANUJAN COLLEGE, University of Delhi [18 – 24 October 2021].
- Co-Convener, One Week Atal FDP, “Machine Learning and Intelligent Systems” @ Rajkiya Engineering College Kannauj, [05 – 09 October 2020].
Achievements
Current Positions:
- In-Charge, Campus Wide Networking
- In-Charge, Institute Website
- Institute Coordinator, Digital Valuation System (DVS)
- Member, Institute Industry Cell
Department Level Positions:
- Lab Incharge, Machine Intelligence Lab
- Departmental Coordinator, Training & Placement
- Project Co-Coordinator, 2023-24
Previously Held Positions:
- In-Charge, Central Computer Center
- Institute Coordinator, Deen Dayal Upaddhyay Quality Improvement Program
- Hostel Warden, Gulmohar Boys Hostel, Rajkiya Engineering College Kannauj
- Deputy In-Charge, Training & Placement Cell
Committees Served:
- Member, DDUQIP Construction Quality
- Member, DDUQIP Related Purchase Committee
