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Dr. Shaik Rajak

Visiting Faculty, ECE, Amaravati

Qualification: Ph.D
r_shaik@av.amrita.edu
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Research Interest: Wireless Communications, Intelligent Reflecting Surfaces, Intelligent Transportation Systems and NOMA

Bio

Dr. Shaik Rajak received his B. Tech degree in Electronics and Communication Engineering from JNTUH, Hyderabad in 2013. He completed his M.Tech. in Electronics and Communication Engineering, at JNTU Hyderabad in 2016 and received Ph.D.  degree in 2023 at the School of Engineering and Science (SEAS), SRM University-AP, Andhra Pradesh, India. Now currently working as a Visiting Faculty at Amrita Vishwa Vidyapeetham, Amaravathi, India. Before joining SRM University-AP, he worked as a lecturer for a year at QIS College of Engineering and Technology (QISCET), Andhra Pradesh. He was awarded the gold medal for the paper presentation organized by SRM University-AP. His current research interests include the Internet of Things, beyond 5G communications, Intelligent Reflecting Surfaces, Millimeter wave, Massive MIMO, OMA, and NOMA schemes.

Publications

Journal Article

Year : 2022

Energy-efficient hybrid relay-IRS-aided wireless IoT network for 6g communications

Cite this Research Publication : Rajak, S., Muniraj, I., Elumalai, K., Hosen, A., Ra, I.-H., & Chinnadurai, S. (2022). Energy-efficient hybrid relay-IRS-aided wireless IoT network for 6g communications. Electronics, 11(12), 1900.

Year : 2022

Energy efficient MIMO–NOMA aided IoT network in b5g communications

Cite this Research Publication : Rajak, S., Selvaprabhu, P., Chinnadurai, S., Hosen, A. S., Saad, A., & Tolba, A. (2022). Energy efficient MIMO–NOMA aided IoT network in b5g communications. Computer Networks, 216, 109250

Year : 2022

Deep learning enabled IRS for 6g intelligent transportation systems: A comprehensive study

Cite this Research Publication : Rajak, S., Song, W., Dang, S., Liu, R., Li, J., & Chinnadurai, S. (2022). Deep learning enabled IRS for 6g intelligent transportation systems: A comprehensive study. IEEE Transactions on Intelligent Transportation Systems.

Publisher : IEEE

Conference Proceedings

Year : 2023

Seismic Lithology Interpretation using Attention-based Convolutional Neural Networks

Cite this Research Publication : V. C. Dodda, L. Kuruguntla, S. Rajak, A. Mandpura, S. Chinnadurai and K. Elumalai, "Seismic Lithology Interpretation using Attention-based Convolutional Neural Networks," 2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India, 2023.

Publisher : IEEE

Year : 2023

Timeline Driven Dynamic Vehicle Speed Control System for Next Generation Intelligent Transport System

Cite this Research Publication : V. N. Sowmya, G. Sravani, P. S. Chary, S. Rajak, S. Sikhakolli, A. Suresh, S. Chinnadurai,” Timeline Driven Dynamic Vehicle Speed Control System for Next Generation Intelligent Transport System,” 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), VIJAYAWADA, India, 2023

Publisher : IEEE

Year : 2023

Optimal Predictive Maintenance Technique for Manufacturing Semiconductors using Machine Learning

Cite this Research Publication : D. Pradeep, B. V. Vardhan, S. Raiak, I. Muniraj, K. Elumalai and S. Chinnadurai, "Optimal Predictive Maintenance Technique for Manufacturing Semiconductors using Machine Learning," 2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India, 2023, pp. 1-5.

Publisher : IEEE

Year : 2022

IoT Based Smart Continual Healthcare Monitoring System

Cite this Research Publication : A. S. Sheikh, G. Kavyasri, V. Manaswini, S. Rajak, A. Suresh and S. Chinnadurai, "IoT Based Smart Continual Healthcare Monitoring System," 2022 IEEE 6th Conference on Information and Communication Technology (CICT), Gwalior, India, 2022, pp. 1-6.

Publisher : IEEE

Year : 2022

Air Pollution Prediction Using Deep Learning

Cite this Research Publication : Sadhana, K.S., Sravya, G., Shankar, T.G., Rajak, S., Muniraj, I. and Chinnadurai, S., . Air Pollution Prediction Using Deep Learning. In 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (pp. 1-5). IEEE.

Publisher : IEEE

Year : 2021

Is massive MIMO good with practical power constraints?

Cite this Research Publication : Rajak, S., & Chinnadurai, S. (2021). Is massive MIMO good with practical power constraints? In 2021 12th international conference on computing communication and networking technologies (ICCCNT) (pp. 1–3). IEEE.

Publisher : IEEE

Awards and Membership

Membership

  • IEEE – 96900396
  • IETE – M-503682

Awards

  • Gold Medal for presentation at SRM University – AP
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