Research Articles in Journals

1.      Kranti Kumar, V. K.Katiyar, M. Parida, K. Rawat. Mathematical modeling of road traffic noise prediction, International Journal of Applied Mathematics and Mechanics (IJAMM), 7 (4), 21-28, 2011.

2.      Kranti Kumar, M. Parida, V. K. Katiyar. Road Traffic Noise Prediction with Neural Networks- A Review, An International Journal of Optimization and Control: Theories and Applications (IJOCTA), 2(1), 29-37, 2012, https://doi.org/10.11121/ijocta.01.2012.0059

3.      Kranti Kumar, M. Parida, V. K. Katiyar. Prediction of urban traffic noise using artificial neural network approach, Environmental Engineering and Management Journal (EEMJ). 13 (4), 817-826, 2014, http://www.ecozone.ro/reviste.php?revista=21&volum=56&numar=153&RID=26336

4.      Kranti Kumar, M. Parida, V. K. Katiyar. Optimized Height of Noise Barrier for Non-Urban Highway using Artificial Neural Network,International Journal of Environmental Science and Technology (IJEST Springer), 11 (3), 719-730, 2014, https://doi.org/10.1007/s13762-013-0257-5

5.      Kranti Kumar, M. Parida, V. K. Katiyar. Short term traffic flow prediction in heterogeneous condition using artificial neural network, Transport (Taylor and Francis), 30(4), 397-405, 2015, https://doi.org/10.3846/16484142.2013.818057

6.      R. K. Mishra, K. Nair, Kranti Kumar, A. Shukla. Dynamic noise mapping of road traffic in an urban city, Arabian Journal of Geosciences, 14, 122, 2021,https://doi.org/10.1007/s12517-020-06373-9.

7.      Nisha Singh, Kranti Kumar, P Goswami, H Jafari. Analytical method to solve the localfractional vehicular traffic flow model. Mathematical Methodsin Applied Sciences, 2021;1-19. https://doi.org/10.1002/mma.8027

8.      Nisha Singh, Kranti Kumar. A review of bus arrival time prediction using artificial intelligence.WIREs Data Mining and Knowledge Discovery, 2022, https://doi.org/10.1002/widm.1457

9.      Jitendra Kumar, Shubhashree Sahu, Puja Bharti, Ashok Kumar, Kranti Kumar, Abhijit Sarkar & Rajni Devi. Relativistic compact stars via a new class of analytical solution for charged isotropic stellar system in general relativity. Indian Journal of Physics, 97(4):1295–1316, 2023, https://doi.org/10.1007/s12648-022-02445-6

10.  Kranti Kumar, Arun Bhartia, Rajeev Kumar Mishra. Monitoring, modeling, and mapping of rail-induced noise at selected stations in megacity Delhi. International Journal of Environmental Science and Technology, 20, 10243–10252, 2023, https://doi.org/10.1007/s13762-022-04529-6

11.  Saeed Althubiti,Manoj Kumar,Pranay Goswami & Kranti Kumar. Artificial neural network for solving the nonlinear singular fractional differential equations. Applied Mathematics in Science and Engineering, 2023, 31(1), 2187389https://doi.org/10.1080/27690911.2023.2187389

12.  Kranti Kumar, Manoj Kumar & Pritikana Das. Traffic congestion forecasting using multilayered deep neural network, Transportation Letters: The International Journal of Transportation, 2023, https://doi.org/10.1080/19427867.2023.2207278

13.  Bharti, Poonam Redhu and Kranti Kumar. Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM, Physica A: Statistical Mechanics and its Applications, 625, 2023, https://doi.org/10.1016/j.physa.2023.129001 

14.  Bhawna Pokhriyal, Pranay Goswami and Kranti Kumar. Analytical solution of local fractal continuum traffic flow model, Physica Scripta, 98, 2023, 125212.https://doi.org/10.1088/1402-4896/ad05a7

15.  Bharti, Poonam Redhu and Kranti Kumar. A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM, Indian Journal of Science & Technology, 16(46), 4358-4368, 2023,https://doi.org/10.17485/IJST/v16i46.2520

16.  Manoj Kumar, Kranti Kumar. Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index, International Journal on Artificial Intelligence Tools, 33(2), 2350067, 2024, https://doi.org/10.1142/S0218213023500677

17.  Bharti, Poonam Redhu and Kranti Kumar. MFOA-Bi-LSTM: an optimized bidirectional long short-term memory model for short-term traffic flow prediction, Physica A: Statistical Mechanics and its Applications, 634, 2024, https://doi.org/10.1016/j.physa.2023.129448

18.  Manoj Kumar, Sandeep Kumar, Kranti Kumar, and Pranay Goswami. Multilayered neural network for power series-based approximation of fractional delay differential equations, Mathematical Methods in Applied Sciences, 47(11), 8771-8785, 2024. https://doi.org/10.1002/mma.10043.

19.  Manoj Kumar, Kranti Kumar. Bi-State Prediction Network Model for Mixed Traffic Congestion Prediction, International Journal of Computational Intelligence and Applications, 23(3), 2450011, 2024, https://doi.org/10.1142/S1469026824500111

20.  Bharti, Poonam Redhu and Kranti Kumar. Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm, International Journal of Intelligent Transportation Systems Research, 22, 316-327, 2024, https://doi.org/10.1007/s13177-024-00398-0

21.  Nisha Singh, Kranti Kumar. A new car following model based on weighted average velocity field, Physica Scripta, 99, 2024, 055244.https://doi.org/10.1088/1402-4896/ad3a28

22.  Kranti Kumar, Arun Bhartia, Rajeev Kumar Mishra, Ravi Pratap Singh Jadon, Jitendra Kumar. Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area, Environmental Monitoring and Assessment, 196, 543, 2024. https://doi.org/10.1007/s10661-024-12681-4

23.  Bharti Nahelia, Kranti Kumar and Poonam Redhu. A deep extreme learning machine approach optimized by sparrowsearch algorithm for forecasting of traffic flow. Physica Scripta, 99, 2024, 125288. https://doi.org/10.1088/1402-4896/ad92ae

24.  Bharti, Bharti Naheliya& Kranti Kumar. Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression.  International Journal of Information Technology, 17, 5661-5671, 2025. https://doi.org/10.1007/s41870-024-01902-1

25.  Bharti Nahelia, Poonam Redhu and Kranti Kumar. A Review on Developments in Evolutionary Computation Approaches for Road Traffic Flow Prediction. Archives of Computational Methods in Engineering, 32, 1499-1523, 2025. https://doi.org/10.1007/s11831-024-10189-1

26.  Deepak Ranga, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar and Athanasios V. Vasilakos. Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions. Mathematics, 2024, 12, 3318. https://doi.org/10.3390/math12213318

27.  Bhawna Pokhriyal, Pranay Goswami and Kranti Kumar.On the solution of two-dimensional local fractional LWR model of fractal vehicular traffic flow. Mathematics and Computational Sciences, 6(2), 43-63, 2025, https://doi.org/10.30511/mcs.2025.2041757.1233

28.  Aryan Rana, Deepika Gautam, Pankaj Kumar, Kranti Kumar, Athanasios V. Vasilakos, Ashok Kumar Das & Vivekananda Bhat K. A comprehensive review of machine learning applications for internet of nano things: challenges and future directions.  Artificial Intelligence Review, 58, 200, 2025. https://doi.org/10.1007/s10462-025-11211-z

29.  Nisha Singh, Kranti Kumar, Bhawna Pokhriyal. Attention based spatiotemporal model for short-term traffic flow prediction. International Journal of System Assurance Engineering and Management, 16, 1517-1531, 2025, https://doi.org/10.1007/s13198-025-02784-7

30.  Shweta Thakur, Samriti Thakur, Aryan Rana,Pankaj Kumar, Kranti Kumar, Chien-Ming Chen. Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2025; 15:e70040, https://doi.org/10.1002/widm.70040

31.  Sunil Prajapat, Pankaj Kumar, Kashish Chaudhary, Kranti Kumar, Gyanendra Kumar and Ali Kashif Bashir. A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications. IEEE Open Journal of the Computer Society, 6, 1190-1201, 2025, https://doi.org/10.1109/OJCS.2025.3587014

32.  Deepak Ranga, Sunil Prajapat, Kranti Kumar, Pankaj Kumar. Brain tumor diagnosis using hybrid quantum-classical neural networks. Neural Computing and Applications, 37, 25535–25554, 2025, https://doi.org/10.1007/s00521-025-11601-y

33.  Bhawna Pokhriyal, Pranay Goswami, Kranti Kumar, Abdalla S. Mahmoud, Mohammed Abdalbagi, Saad Althobaiti. A new two-dimensional macroscopic local fractional viscous diffusive model of vehicular traffic flow. AIMS Mathematics, 10(9), 20782-20804, 2025, https://doi.org/10.3934/math.2025928

34.  Hempal Singh, Pratap Singh, Babita, Kranti Kumar, and Ashwani Kumar. Theoretical aspects of Born-Mayer-Huggins potential in HgBa₂CaCu₂O₆ layered superconductor: A computational study. International Journal of Modern Physics B, 39(31), 2550277, 2025, https://doi.org/10.1142/S0217979225502777

35.  Pranay Goswami, Bhawna Pokhriyal, and Kranti Kumar. A Local Fractional Modified Crank-Nicolson Scheme for Fractal LWR Model of Traffic Flow. International Journal of Geometric Methods in Modern Physics,23(1), 2440039, 2026.https://doi.org/10.1142/S0219887824400395

36.  Manoj Kumar, Kranti Kumar. Hytranet: a deep learning model for traffic congestion prediction in road networks. Journal of Combinatorial Optimization, 51, 11, 2026,https://doi.org/10.1007/s10878-025-01382-4

37.  Bhawna Pokhriyal, Pranay Goswami, and Kranti Kumar. A local fractional non-standard finite difference scheme for fractal LWR model of traffic flow. TWMS Journal of Applied and Engineering Mathematics, 16 (7), 865-883, 2026. https://izlik.org/JA62ZJ55YA.

Research Articles in Conference Proceedings

1.      Kranti Kumar, M. Parida, V. K. Katiyar. Artificial Neural Network Modeling for Road Traffic Noise Prediction, proceedings of third “International Conference on Computing, Communication and Networking Technology– ICCCNT 2012”, IEEE Xplore,

https://doi.org/10.1109/ICCCNT.2012.6395944.

2.      Kranti Kumar, M. Parida, V. K. Katiyar. Short term traffic flow prediction for a non urban highway using Artificial Neural Network, Procedia-Social and Behavioral Sciences, 104, 2013, 755-764. https://doi.org/10.1016/j.sbspro.2013.11.170

3.      B. Sharma, V. K. Katiyar, Kranti Kumar, Traffic accident prediction model using Support Vector Machines with Gaussian Kernel, Proceedings of Fifth International Conference on Soft Computing for Problem Solving by Springer, pp 1-10, 2016, https://doi.org/10.1007/978-981-10-0451-3_1

4.      R. K. Mishra, A. Kumar, Kranti Kumar, Application of artificial neural network in traffic noise pollution modeling, Proceedings of the International Conference on Communication and Computing Systems by Taylor and Francis, pp 469-474, 2017, ISBN 978-1-138-02952-1.https://doi.org/10.1201/9781315364094-85

5.      Kranti Kumar, Study on the effects of traffic noise on human health. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2019, 259 (3), 6783-6794.

https://www.ingentaconnect.com/contentone/ince/incecp/2019/00000259/00000003/art00085

6.       M. Kumar, Kranti Kumar, P. Das, Study on road traffic congestion: a review, published in "Recent Trends in Communication and Electronics” as a chapter by Taylor & Francis, in June 2021. https://doi.org/10.1201/9781003193838-43.

7.      Kranti Kumar, Bharti, Survey on road traffic-flow prediction: Recent trends in India, published in "Recent Trends in Communication and Electronics” as a chapter by Taylor & Francis, in June 2021. https://doi.org/10.1201/9781003193838-42.

8.      Nisha, Kranti Kumar. Multi-Branch Traffic Flow Prediction Based on Temporal Speed. In: Devi, L., Asaithambi, G., Arkatkar, S., Verma, A. (eds) Proceedings of the Sixth International Conference of Transportation Research Group of India. CTRG 2021. Lecture Notes in Civil Engineering, vol 272, pp 47-61. Springer, Singapore. https://doi.org/10.1007/978-981-19-3494-0_4

9.      Manoj Kumar, Kranti Kumar. Traffic Congestion Prediction Using Categorized Vehicular Speed Data. In: Devi, L., Errampalli, M., Maji, A., Ramadurai, G. (eds) Proceedings of the Sixth International Conference of Transportation Research Group of India. CTRG 2021. Lecture Notes in Civil Engineering, vol 273, pp 367-384. Springer, Singapore. https://doi.org/10.1007/978-981-19-4204-4_22

10.  Kranti Kumar, Bharti. Deep Bi-LSTM Neural Network for Short-Term Traffic Flow Prediction under Heterogeneous Traffic Conditions. In: M. V. L. R. Anjaneyulu, M. Harikrishna, Shriniwas S. Arkatkar, A. Veeraragavan (eds) Proceedings of the CTSEM 2021. Lecture Notes in Civil Engineering, Vol. 261, Recent Advances in Transportation Systems Engineering and Management, Springer, Singapore. https://doi.org/10.1007/978-981-19-2273-2

11.  Mishra, R.K., Parida, M., Kumar, K. (2024). Metro Rail Noise Analysis and Designing of Noise Barrier Along Selected MRTS Corridor in Delhi. In: Dhamaniya, A., Chand, S., Ghosh, I. (eds) Recent Advances in Traffic Engineering. RATE 2022. Lecture Notes in Civil Engineering, vol 377. Springer, Singapore.

https://doi.org/10.1007/978-981-99-4464-4_20

12.  Rana, A., Prajapat, S., Kumar, P., Kumar, K. (2024). Performance Evaluation of Machine Learning Models for Intrusion Detection in Wireless Sensor Networks: A Case Study Using the WSN DS Dataset. In: Verma, O.P., Wang, L., Kumar, R., Yadav, A. (eds) Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 832. Springer, Singapore.

https://doi.org/10.1007/978-981-99-8129-8_15

13.  Bharti, Poonam Redhu and Kranti Kumar (2024). Chaotic Gravitational Search Algorithm and Long Short-Term Memory Model for Traffic Flow Prediction, Trends in Contemporary Mathematics, e-ISBN: 978-93-6252-646-5, IIP Series, Volume 3, Book 3, Part 2, Chapter 1. https://www.doi.org/10.58532/V3BFCM3P2CH1

14.  Aryan Rana; Anurag Dhiman; Mohammad S. Obaidat; Pankaj Kumar; Kranti Kumar (2024). Evaluating Machine Learning Models for Wheat Yield Prediction in Amritsar District. International Conference on Computer, Information and Telecommunication Systems (CITS), Girona, Spain, 2024, pp. 1-8, IEEE, https://www.doi.org/10.1109/CITS61189.2024.10607987

15.  Naheliya, B., Redhu, P., Kumar, K. (2025). Deep Bi-LSTM Neural Network with Chaotic Particle Swarm Optimization Technique for Short-Term Traffic Speed Prediction. In: Sahu, P.K., Agarwal, A., Kathuria, A., Velaga, N.R. (eds) Proceedings of the 7th International Conference of Transportation Research Group of India (CTRG 2023), Volume 3. CTRG 2023. Lecture Notes in Civil Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-97-9943-5_10

Invited Lectures and Conference Presentations:

1. Presented an article entitled “Human comfort in transportation system, sitting biomechanics: A review” in National Seminar on Sports Biomechanics and Exercise Sciences held at St. Stephen's College and Miranda House, University of Delhi during 16-17 April, 2011.
2. Presented an article entitled “Determination of optimized height of noise barrier using artificial neural network” in 4th International Congress on Environmental Research held at SVNIT Suratduring 15-17December, 2011.
3. Presented an article entitled “Road Traffic Noise modeling using Artificial Neural Networks”in National conference on Role of Mathematical and Physical Sciences in Engineering and Technology held at Government Degree College Karnprayag, Uttarakhand during 21-22 October, 2011.
4. Presented an article entitled “Artificial Neural Network Modeling for RoadTraffic Noise Prediction” International Conference on Computing, Communication and Networking Technology (ICCCNT-2012) held at SNS College of Engineering Coimbatore, Tamilnadu during 26-28 July 2012
5. Presented an article entitled “Short term traffic flow prediction for a non-urban highway using Artificial Neural Network”in 2nd Conference of Transportation Research Group

of India (CTRG-2013), held at Agra during 12-15 December, 2013.

6. Delivered an invited lecture on the topic “Short term traffic flow prediction in heterogeneous condition using artificial neural network” in the International Conference on Mathematical Sciences (ICMS-2015) held at Sri Venkateswara University, Tirupati, during 13-15 July 2015.
7. Delivered an invited lecture in TEQIP-II Sponsored Faculty Development Programme(FDP) on the topic “Prediction of urban traffic noise using artificial neuralnetwork approach”at the Delhi Technological University (DTU), Delhi,on 16 July 2015.
8. Chaired the special session on “Cloud Computing and Computer Technology” in the International Conference on Communication and Computing Systems (ICCCS 2016) held at Dronacharya College of Engineering, Gurgaon, during September 9-11, 2016.
9. Presented an article entitled “Application of artificial neural network in traffic noise pollution modeling” in the International Conference on Communication and Computing Systems (ICCCS-2016) held at Dronacharya College of Engineering, Gurgaon, during September 9-11, 2016.
10. Presented an article entitled “Analysis of Road Traffic Noise Pollution in Urban City” in the 2nd International Conference on Sustainable Technologies for Environmental Management (STEM -2019) held at the Department of Environmental Engineering, Delhi TechnologicalUniversity (DTU), Delhi, during 25-26 March, 2019.
11. Presented an article entitled “Study on the effects of traffic noise on human health” in Inter-Noise Congress 2019, heldat Madrid, Spain during 16-19 June, 2019.
12. Delivered an invited lecture in online mode inthe National Webinar on “Online teaching/learning: Challenges and Opportunities”held at Govt. Degree College Pihani, Hardoi, Uttar Pradesh, on 18 May 2020.
13. Presented an article entitled “Survey on road traffic-flow prediction: Recent trends in India” in the 4th International Conference (Online) on Recent Trends in Communication and Electronics held at KIET Group of Institutions, Ghaziabad during 28-29 November, 2020.
14. Delivered two online expert lectures on the topics “Traffic Flow Prediction: Journey from Mathematical Models to Artificial Intelligence” and “Traffic congestion modelling and prediction” in the AICTE Training and Learning Academy sponsored one-week online FDP held during 06-10 December 2021 organized by the School of Computing Science and Engineering, Galgotias University, Gautam Budh Nagar, Uttar Pradesh.
15. Delivered an invited lecture on the topic “Traffic Flow Prediction: Journey from Mathematical Models to Artificial Intelligence” in One-Week Online National Workshop on “Mathematical Modelling with Simulation in Applied Sciences” held at the Department of Mathematics, Central University of Haryana, Haryana, on 24 May 2023.
16. Delivered an invited lecture on the topic “Noise pollution and modelling for traffic and railway noise applications” in one day seminar on Noise Fundamental, Measurement and

Analysis held at Mechanical Engineering Department, Delhi Technological University (DTU), Delhi, on 26 May 2023.

17. Delivered an invited lecture on the topic “Traffic Flow Prediction: Journey from Mathematical Models to ArtificialIntelligence” in the in the 2 weeks onlinerefresher course on "Mathematics in India: from Vedic era to modern Times"organized by UGC-HRDC, BPSMV, Khanpur Kalan, Sonepat, Haryana, on 20 December 2023.
18. Delivered an invited lecture in online mode on the topic “Noise Pollution from Railway Traffic in Delhi City: Modelling, Mapping and Health Impact Analysis” in the National Conference on Sustainable Energy, Environment, Molecules, Materials and Technology held at the Doon University, Dehradun, Uttarakhand, India, during 22-23 October 2024.
19. Delivered an invited lecture on the topic “Applications of Calculus in Engineering and Technology” at the School of Advanced Sciences, Department of Mathematics, Vellore Institute of Technology (VIT) University, Vellore, on 25November 2024.
20. Delivered an invited lecture on the topic “Multivariate Calculus in Optimization Models” at the School of Advanced Sciences, Department of Mathematics, Vellore Institute of Technology (VIT) University, Vellore, on 26 November 2024.
21. Delivered an invited lecture on the topic “Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area” in one-day seminar on “Innovation & Legislation of Environmental Noise Control and its Effect (SILENCE-2025)”organized by Mechanical Engineering Department and Environmental Engineering Department, Delhi Technological University (DTU), Delhi, on 28February 2025.
22. Delivered an invited lecture on the topic “Introduction to Artificial Intelligence” at the Department of Mathematics and Astronomy, University of Lucknow, Lucknow, on 08 July 2025.
23. Delivered an invited lecture on the topic “Introduction to Artificial Intelligence and Traffic flow prediction using Long-Short Term Memory (LSTM) network and Gaussian Process Regression” in the online Faculty Development Program (FDP) on “Mathematical Computations and Applications” held at the Department of Mathematics, Central University of Jammu, Jammu, India, on 04 December 2025.
24. Presented an article entitled “SSA-LSTM: Deep learning method for forecasting short term traffic flow” in 8th Conference of Transportation Research Groupof India (CTRG-2025), held at IIT Guwahati during 17-20 December, 2025.
25. Speaker and Trainer in the Hands-on Training Program entitled “Artificial Intelligence Essentials: A Hands-on Training Program”, organized on 27^thJanuary, 2026 in online modeat the Srinivasa Ramanujan Department of Mathematics, School of Mathematics, Computer andInformation Sciences, Central University of Himachal Pradesh.
26. Delivered an invited lecture in online mode on the topic “Role of Statistics, Mathematics and Programming in Artificial Intelligence” at the School of Advanced Sciences, Department of Mathematics, Vellore Institute of Technology (VIT) University, Vellore, on 26March 2026.