Sadananda Behera | Engineering | Best Researcher Award

Published-on by Indian Scientist

Assist. Prof. Dr. Sadananda Behera | Engineering | Best Researcher Award

NIT Rourkela | India

Dr. Sadananda Behera is a distinguished researcher in optical communication and intelligent network systems, widely recognized for his impactful scientific contributions. With strong academic foundations spanning electronics and communication engineering, advanced communication technologies, and optical systems, he has developed expertise that bridges theory, experimentation, and real-world network challenges. His research experience includes significant roles in premier institutions where he contributed to coherent modulation testbeds, advanced resource-allocation strategies, and machine-learning-driven solutions for elastic and space-division multiplexing networks. He has also conducted notable postdoctoral work focusing on AI-enabled optical networks, traffic prediction, and soft-failure detection frameworks. His scholarly output includes journal articles, conference presentations, and collaborative works addressing impairment-aware routing, bit loading, anomaly detection, and federated learning architectures for communication infrastructures. His research influence is demonstrated through 195 citations, an h-index of 7, and an i10-index of 6, reflecting the depth and applicability of his contributions across the photonics and network-optimization community. He continues to advance high-impact projects related to next-generation 6G hybrid transceivers and secure deep-learning-based channel estimation frameworks. His work focuses on optical communication, machine-learning applications for networks, and quantum key distribution, contributing to the evolution of resilient, high-capacity, and secure communication ecosystems.

Profile: Google Scholar

Featured Publications

Behera, S., Deb, A., Das, G., & Mukherjee, B. (2019). Impairment aware routing, bit loading, and spectrum allocation in elastic optical networks. Journal of Lightwave Technology, 37(13), 3009–3020.

Behera, S., George, J., & Das, G. (2018). Effect of transmission impairments in CO-OFDM based elastic optical network design. Computer Networks, 144, 242–253.

Behera, S., & Das, G. (2020). Dynamic routing and spectrum allocation in elastic optical networks with minimal disruption. In Proceedings of the National Conference on Communications (NCC) (pp. 1–5). IEEE.

Behera, S., Panayiotou, T., & Ellinas, G. (2023). Machine learning framework for timely soft-failure detection and localization in elastic optical networks. Journal of Optical Communications and Networking, 15(10), E74–E85.

Behera, S., Savva, G., Manousakis, K., & Ellinas, G. (2023). Impairment-aware routing, modulation, spectrum, and core allocation with bit loading in spectrally–spatially flexible optical networks. Journal of Optical Communications and Networking, 15(6), 318–332.

Ms. Ritu Ranjan | Engineering | Best Research Award

Published-on by Indian Scientist

Ms. Ritu Ranjan | Engineering | Best Research Award

IIT ISM DHANBAD | India

Ms Ritu Ranjan is a dedicated electrical engineering researcher whose academic journey spans advanced degrees from premier Indian institutions, culminating in a PhD in control systems and sensor interfacing at IIT(ISM) Dhanbad. Her work centers on control techniques for bipedal robotic systems, specifically modeling and robust controller design, and extends into efficient analog and direct-digital interfacing schemes for magneto-resistance-based angle sensors. With several journal articles including contributions to Integration: the VLSI Journal, Measurement and Optical and Quantum Electronics, and multiple IEEE-indexed conference publications, she has developed expertise in sensor linearization, systematic error quantification, and optical biosensor modeling. Her research interest spans control theory, sensor hardware design, direct-digital interfacing, and FDTD-based photonic modeling. Though early in her career, she has begun accumulating citations and publications; her current h-index is modest, reflecting her growing scholarly impact. Awards and recognitions include funding and acceptance of her thesis work and top conference presentations. She brings strong experience in MATLAB, LTSpice, LaTeX, LabVIEW, embedded C, and hardware prototyping using Arduino/ESP32. Motivated by innovation in robotics and sensor systems, she seeks to contribute reliably to impactful research and engineering. Ritu’s trajectory indicates a promising future in sensor-control integration and robotic instrumentation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publication

Shekhar, A., Ranjan, R., & Mandal, S. (2024). Model of double optical ring resonator configuration as a biosensor using FDTD numerical method. Optical and Quantum Electronics, 57(1), 35.

Ranjan, R., & Meena, G. D. (2022). PID and backstepping controller on a 2-link biped robot. In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) (pp. xx–xx). IEEE.

Ranjan, R., & Meena, G. D. (2022). Trajectory tracking of 3-link biped leg robot using PD controller and robust variable structure controller. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1–6). IEEE.

Ranjan, R., & Mandal, S. (2025). Quantification methodologies of three systematic errors of sinusoidal encoders employing two magnitude-to-time-to-digital converter in static and dynamic conditions. Measurement, 253, 117361. Elsevier.

Ranjan, R., Shekhar, A., & Mandal, S. (2025). Development of a tunneling magneto-resistance sensor based orientation detection system for robotic manipulator. In 2025 6th International Conference on Recent Advances in Information Technology (RAIT) (pp. xx–xx). IEEE.