Dr. MOHAMMAD JUNAID KHAN

[1] M. J. Khan, Y. Narayan, M. M. Kamal, M. N. Akhtar, H. Malik, and V. K. Jadoun, “A novel fuzzy logic modelling approach for real-time maximum power point tracking in solar photovoltaic systems,” Journal of Engineering Research, Elsevier, 2026, doi: 10.1016/j.jer.2026.09.051.

[2] M. J. Khan, R. M. Singh, R. K. Kaushal, H. Malik, A. Afthanorhan, and V. K. Jadoun, “Optimized fuzzy-MPPT approach for superior solar power management in EV battery charging systems,” Energy Reports, vol. 15, Art. no. 109034, Jan. 23, 2026, doi: 10.1016/j.egyr.2026.109034.

[3] M. J. Khan, D. Kumar, Y. Naraya[n], H. Malik, and F. P. G. Márquez, “A novel artificial intelligence maximum power point tracking technique for integrated PV-WT-FC frameworks,” Energies, vol. 15, no. 9, Art. no. 3352, pp. 1–35, May 4, 2022, doi: 10.3390/en15093352.

[4] M. J. Khan, L. Mathew, M. A. Alotaibi, Hasmat M. M. E. Nassar, “Fuzzy-logic based comparative analysis of different maximum power point tracking controllers for hybrid renewable energy systems,” Mathematics, vol. 10, no. 3, Art. no. 529, pp. 1–28, Feb. 8, 2022, doi: 10.3390/math10030529.

[5] M. J. Khan, “An AIAPO MPPT controller based real-time adaptive maximum power point tracking technique for wind turbine system,” ISA Transactions, vol. 123, pp. 492–504, 2021, doi: 10.1016/j.isatra.2021.06.008.

[6] M. J. Khan and L. Mathew, “Artificial neural network-based maximum power point tracking controller for real-time hybrid renewable energy system,” Soft Computing, vol. 25, no. 8, pp. 6557–6575, 2021, doi: 10.1007/s00500-021-05653-0.

[7] M. J. Khan and Pushparaj, “A novel hybrid maximum power point tracking controller based on artificial intelligence for solar photovoltaic system under variable environmental conditions,” Journal of Electrical Engineering and Technology, vol. 16, no. 4, pp. 1879–1889, 2021, doi: 10.1007/s42835-021-00734-4.

[8] M. J. Khan, “Review of recent trends in optimization techniques for hybrid renewable energy system,” Archives of Computational Methods in Engineering, vol. 28, no. 3, pp. 1459–1469, 2020, doi: 10.1007/s11831-020-09424-2.

[9] M. J. Khan and L. Mathew, “Fuzzy logic controller based MPPT for hybrid photovoltaic/wind/fuel cell power system,” Neural Computing and Applications, vol. 31, no. 10, pp. 6331–6344, 2019, doi: 10.1007/s00521-018-3456-7.

[10] M. J. Khan and L. Mathew, “Comparative analysis of maximum power point tracking controller for wind energy system,” International Journal of Electronics, vol. 105, no. 9, pp. 1535–1550, Apr. 18, 2018, doi: 10.1080/00207217.2018.1461251.

[11] M. J. Khan and L. Mathew, “Comparative study of optimization techniques for renewable energy system,” Archives of Computational Methods in Engineering, vol. 27, pp. 351–360, 2018, doi: 10.1007/s11831-018-09306-8.

[12] M. J. Khan and L. Mathew, “Comparative study of maximum power point tracking techniques for hybrid renewable energy system,” International Journal of Electronics, vol. 106, no. 8, pp. 1216–1228, 2019, doi: 10.1080/00207217.2019.1584917.

[13] M. J. Khan, A. K. Yadav, and L. Mathew, “Techno economic feasibility analysis of different combinations of PV-wind-diesel-battery hybrid system for telecommunication applications in different cities of Punjab, India,” Renewable and Sustainable Energy Reviews, vol. 76, pp. 577–608, 2017, doi: 10.1016/j.rser.2017.03.076.

[14] M. J. Khan and L. Mathew, “Different kinds of maximum power point tracking control method for photovoltaic systems: A review,” Archives of Computational Methods in Engineering, vol. 24, no. 4, pp. 855–867, 2016, doi: 10.1007/s11831-016-9192-1.

[15] M. J. Khan, Y. Narayan, Pawan, A. Afthanorhan, and F. I. Bakhsh, “Modified adaptive fuzzy logic based real-time MPPT controller for fuel cell framework management under dynamic conditions,” Engineering Research Express, vol. 7, no. 2, Art. no. 02531, Apr. 16, 2025, doi: 10.1088/2631-8695/adca86.

[16] M. J. Khan, M. N. Akhtar, H. Malik, M. F. Ansari, and A. Afthanorhan, “ANN-based maximum power point tracking technique for PV power management under variable conditions,” International Journal of Mathematical, Engineering and Management Sciences, vol. 9, no. 5, pp. 1106–1123, 2024, doi: 10.33889/IJMEMS.2024.9.5.058.

[17] R. Mustafa, S. Agrawal, and M. J. Khan, “Adaptive fusion based clustering approach in cognitive radio networks,” Results in Control and Optimization, vol. 8, Art. no. 100147, pp. 1–12, Sep. 2022, doi: 10.1016/j.rico.2022.100147.

[18] M. Z. Hassnain, M. A. Kalam, A. Saxena, M. J. Khan, A. Afthanorhan, P. Pal, M. M. Nezami, and M. F. Ansari, “Comprehensive study of optimization techniques for load flow analysis in power system networks and their application to demand-side management,” Recent Advances in Electrical & Electronic Engineering, Bentham Science, Sep. 9, 2025, doi: 10.2174/0123520965379949250722041602.

[19] S. G. Karad, R. Thakur, M. A. Alotaibi, M. J. Khan, H. Malik, F. P. García Márquez, and M. Asef Hossaini, “Optimal design of fractional order vector controller using hardware-in-loop (HIL) and OPAL-RT for wind energy system,” IEEE Access, vol. 12, pp. 35033–35047, Jan. 23, 2024, doi: 10.1109/ACCESS.2024.3357504.

[20] A. Choudhary, R. Kumar, S. Letha, F. I. Bakhsh, A. Singh, and M. J. Khan, “Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques,” IET Power Electronics, vol. 17, 2024, doi: 10.1049/pel2.12564.

[21] S. Pareek, M. F. Ansari, N. Khurana, M. M. Nezami, S. S. Alharbi, S. S. Alharbi, G. Krishan, R. Dahiya, and M. J. Khan, “Performance comparison of interconnection schemes for mitigating partial shading losses in solar photovoltaic arrays,” Scientific Reports, vol. 15, Art. no. 27783, pp. 1–17, Jul. 30, 2025, doi: 10.1038/s41598-025-12984-7.

[22] Y. Narayan, M. J. Khan, A. D. Durai, P. Gadipelli, A. A. AbuBaker, and R. Kumar, “Long-range surface plasmon resonance platform for high-sensitivity refractive index sensing,” Surfaces and Interfaces, Art. no. 110527, Aug. 31, 2026, doi: 10.1016/j.surfin.2026.110527.

[23] D. Abdullah, Q. Ab Seh, S. A. Sofi, A. Kumar, S. Gautam, and M. J. Khan, “Multifunctional ruthenium-based halide perovskites NaRuX3 (X = Cl, Br): A first-principles exploration toward solar technologies,” JOM, Jun. 15, 2026, doi: 10.1007/s11837-026-08488-y.

[24] P. Pal, M. J. Khan, and M. Kumar, “Recent developments in computer and communication engineering methodologies: Innovations and applications,” Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), vol. 19, Jul. 2026, doi: 10.2174/0123520965523062260713041124.

[25] P. Vaishali, S. K. K. Dash, R. K. Barik, M. J. Khan, and N. K. Dewangan, “Quad-band SIW antenna with micro-pocket enabled frequency-agile design for 5G/6G IoT applications,” Scientific Reports, vol. 16, Art. no. 10774, Mar. 28, 2026, doi: 10.1038/s41598-026-46067-y.

[26] A. Ahmad, M. J. Khan, and M. S. Rao, “Secure routing in ad hoc networks through federated GNN trust aggregation and topology-aware flow analysis,” International Journal of Intelligent Engineering & Systems, vol. 19, no. 2, pp. 511–524, Feb. 10, 2026, doi: 10.22266/ijies2026.0228.32.

[27] A. Ahmad, M. J. Khan, and M. S. Rao, “AE-RLKey: A synergistic deep autoencoder–reinforcement learning model for secure and energy-efficient MANETs,” International Journal of Intelligent Engineering & Systems, vol. 19, no. 1, pp. 706–720, Jan. 9, 2026, doi: 10.22266/ijies2026.0131.42.

[28] M. J. Khan, R. M. Singh, M. N. Akhtar, and A. Afthanorhan, “Comparative analysis of various optimization techniques for battery management systems in electrical vehicles,” Journal of Applied Research in Electrical Engineering, vol. 4, no. 1, pp. 122–136, Jan. 18, 2026, doi: 10.22055/jaree.2025.49094.1209.

[29] A. Ahmad, M. J. Khan, and M. S. Rao, “FedTrust-Net: A federated learning-based trust-aware security framework for resilient ad hoc wireless networks,” International Journal of Intelligent Engineering & Systems, vol. 18, no. 11, pp. 979–991, Dec. 31, 2025, doi: 10.22266/ijies2025.1231.60.

[30] M. J. Khan, M. N. Akhtar, and A. Afthanorhan, “An innovative control of the charging and discharging for the battery management operation using a bidirectional converter,” Future Technology, vol. 4, no. 1, pp. 23–28, Feb. 15, 2025, doi: 10.55670/fpll.futech.4.1.3.

[31] M. J. Khan, M. N. Akhtar, A. Alam, and M. A. (author details as shown in CV), “Internet of Things based MPPT techniques for photovoltaic frameworks management under different environmental conditions: A review,” International Journal of Informatics and Communication Technology, vol. 13, no. 2, pp. 303–313, Aug. 2024, doi: 10.11591/ijict.v13i2.pp306-313.

[32] M. J. Khan, R. Mustafa, and Pushparaj, “Comparative analysis of various global maximum power point tracking techniques for fuel cell frameworks,” Journal of Autonomous Intelligence, vol. 6, no. 2, pp. 1–10, Art. no. 703, Aug. 18, 2023, doi: 10.32629/jai.v6i2.703.

[33] Z. Ahmad, M. J. Khan, and Md. Naqui Akhtar, “A critical review of hybrid electric vehicles,” Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 29, no. 1, pp. 283–294, Jan. 3, 2023, doi: 10.37934/araset.29.1.283294.

[34] M. J. Khan, “Artificial intelligence based maximum power point tracking controller for fuel cell system,” European Journal of Electrical Engineering, vol. 21, no. 3, pp. 297–302, Aug. 15, 2019, doi: 10.18280/ejee.210306.

[35] M. Rizwee, S. S. Minz, M. Orooj, M. Z. Hassnain, and M. J. Khan, “Electric discharge machining method for various metal matrix composite materials,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 9, pp. 1–12, Jul. 10, 2019, doi: 10.35940/ijitee.i8112.078919.

[36] A. Agarwal, S. Singh, R. Gupta, R. Krishnamoorthy, and M. J. Khan, “Blockchain technology in the energy sector: A brief technical review,” in Lecture Notes in Electrical Engineering, vol. 6667, Springer, 2026, pp. 83–92, doi: 10.1007/978-981-95-3389-3_8.

[37] C. Chaudhary, M. Srivastava, M. Abrol, M. Bargavi, and M. J. Khan, “Blockchain implementation in smart grids,” in Lecture Notes in Electrical Engineering, vol. 6667, Springer, 2026, pp. 71–81, doi: 10.1007/978-981-95-3389-3_7.

[38] M. J. Khan, M. N. Akhtar, K. K. Kandregula, A. Afthanorhan, H. Malik, and M. Amir, “A novel neural network-based maximum power point technique for wind turbine system management under variable conditions,” in Renewable Power for Sustainable Growth, Lecture Notes in Electrical Engineering, vol. 1565, Springer, 2026, pp. 169–180, doi: 10.1007/978-981-95-2149-4_16.

[39] M. Nezami, H. Hashem, M. Equbal, M. J. Khan, M. Ansari, and E. E. Mustafa, “An intelligent system for furfural estimation in the power transformers,” in Renewable Power for Sustainable Growth, ICRP 2023, Lecture Notes in Electrical Engineering, vol. 1086, Springer, Singapore, 2024, pp. 339–345, doi: 10.1007/978-981-99-6749-0_20.

[40] A. A. Bhandakkar, L. Mathew, M. J. Khan, M. J. A. Aziz, and H. Malik, “Real-time simulation of SVC on multi-machine 9-bus system,” in Proc. IEEE Conf. Energy Conversion (CENCON), Kuching, Malaysia, Dec. 28, 2023, pp. 170–175, doi: 10.1109/CENCON58932.2023.10368714.

[41] M. J. Khan and L. Mathew, “Artificial intelligence based maximum power point tracking algorithm for photo-voltaic system under variable environmental conditions,” in Proc. IEEE Int. Conf. Recent Developments in Control, Automation & Power Engineering (RDCAPE), Amity, Noida, India, Oct. 26–27, 2017, pp. 114–119, ISBN: 978-1-5090-3978-4, doi: 10.1109/RDCAPE.2017.8358251.

[42] M. J. Khan, A. K. Yadav, S. Chatterji, and L. Mathew, “Techno economic analysis of PV-wind-grid connected systems for power generation in India,” in Proc. IEEE India Conf. (INDICON), Jamia Millia Islamia, New Delhi, India, Dec. 17–20, 2015, pp. 1–5, ISSN: 2325-9418, doi: 10.1109/INDICON.2015.7443247.

[43] M. J. Khan, P. Shukla, R. Mustafa, S. Chatterji, and L. Mathew, “Different types of maximum power point tracking techniques for renewable energy systems: A review,” in Proc. AIP Int. Conf. ICCS 2015, vol. 1715, BKBIET, Pilani, Rajasthan, India, Oct. 18–20, 2015, doi: 10.1063/1.4942697.

[44] R. Mustafa, S. Sarowa, R. R. Jaglan, M. J. Khan, and S. Agrawal, “LTE-Advanced random access mechanism for M2M communications: A review,” in Proc. AIP Int. Conf. ICCS 2015, vol. 1715, BKBIET, Pilani, Rajasthan, India, Oct. 18–20, 2015, doi: 10.1063/1.4942718.

[45] M. J. Khan and A. Choudhary, “Maximum power point tracking techniques for PV framework under partial shaded conditions: Towards green energy for smart cities,” in Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5.0, 1st ed. CRC Press, Taylor & Francis, Oct. 12, 2021, pp. 193–204, ISBN: 9781003153405, doi: 10.1201/9781003153405-10.

[46] M. J. Khan, L. Mathew, and A. K. Yadav, “Novel applications of soft computing techniques for comparative analysis of maximum power point tracking in solar photo-voltaic system under perturb conditions,” in Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems, Advances in Intelligent Systems and Computing, vol. 1096. Singapore: Springer, Jan. 18, 2020, pp. 363–385, ISSN: 2194-5357, doi: 10.1007/978-981-15-1532-3_16.

[47] M. J. Khan et al., “AI-Based Framework for Solar Photovoltaic Power Management Optimization under dynamic condition of irradiation,” Advances in Intelligent Systems and Computing, pp. 227–240, Jan. 2024, doi: 10.1007/978-981-97-6352-8_15.

[48] M. J. Khan, Md. Z. Hussnain, A. Sharma, and P. K. Angaral, Basic Elements of Electrical and Electronics Engineering. 1st ed. Iterative International Publishers, 2022, pp. 1–97, ISBN: 978-1-68576-339-8.

Interests

Research Areas

Student Supervision

Key Publications

Research Projects/Patents

Awards & Achievements

Best Course Content Award

Annual Performance Appraisal Award

Best Paper Award – ICWITE 2026

World's Top 2% Scientists Recognition

Best Paper Award – IEEE CENCON 2023

Outstanding Scientist Award

Best Paper Presentation Award – RPIIT 2020

Best Young Scientist Award

UGC Fellowship (MANF Scheme)