Archana Mohan | Electronics Engineering | Research Excellence Award

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Mrs. Archana Mohan | Electronics Engineering | Research Excellence Award

Amrita Vishwa Vidyapeetham | India

Archana Mohan is a dedicated researcher and academician in Electrical and Electronics Engineering, currently pursuing her doctoral studies with a strong focus on power systems, e-mobility, and intelligent control applications. With a solid educational background spanning engineering, power systems, and management studies, she has built interdisciplinary expertise that strengthens her analytical and problem-solving capabilities. Her professional experience includes serving as a Teaching Assistant and Research Assistant in advanced laboratories related to power systems, robotics, embedded systems, autonomous systems, and electric vehicles, where she mentors students, develops experimental setups, and contributes to project execution. Her research contributions span transient stability modeling, hybrid electric vehicle architectures, V2X communication, state-of-charge estimation, air-quality integrated mobility systems, and optimization using AI-based techniques. She has authored multiple publications indexed in reputed databases with 19 citations, an h-index of 3, and i10-index of 0, reflecting the growing impact of her work. Her involvement in international conferences and journal publications highlights her active engagement with the global research community. She has also contributed to academic quality initiatives and technical events while earning recognition for her academic excellence and active participation. Her research interests continue to evolve toward sustainable mobility, intelligent power systems, and data-driven engineering solutions.

Profile: Google Scholar

Featured Publications

Mohan, A., & Manitha, P. V. (n.d.). Hybrid Electric Vehicles with V2X Topology and Smart Energy Management: An Overview of Their Potential and Limitations. In 2nd International Conference on Futuristic Technologies (INCOFT).

Mohan, A., & Vidya, M. S. (n.d.). Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions. In Third International Conference on Smart Systems and Inventive Technology.

Mohan, A., Avinash, R., Manitha, P. V., & Deepa, K. (n.d.). The Impact of PID Controllers on the Performance of Electric Vehicle Speed Control and SoC. In IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). A comprehensive review on the integration of air quality monitoring systems with hybrid electric vehicles for emission control in smart cities. Science of the Total Environment, 994, 180022.

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). Comparative analysis of state of charge estimation methods for Li-ion batteries using Kalman filter variants and machine learning techniques for electric vehicle applications. IEEE Access.

Sadananda Behera | Engineering | Best Researcher Award

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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.

Krishnakumar S | Engineering | Best Researcher Award

Published-on by Indian Scientist

Mr. Krishnakumar S | Engineering | Best Researcher Award

Sri Ramakrishna Engineering College, Coimbatore | India

S. Krishnakumar is an academician, researcher, and innovation mentor with expertise in robotics, automation, embedded systems, and artificial intelligence-driven medical imaging. He has contributed to advancing research in applied electronics while simultaneously guiding students through innovation and national-level hackathons. With multiple publications in reputed international journals and several patents to his credit, he has established himself as a committed contributor to both teaching and applied research. His career reflects a balance of academic instruction, research excellence, and innovation leadership, enabling students to explore interdisciplinary learning and practical applications of emerging technologies for societal development.

Professional Profiles

Orcid | Google Scholar

Education

S. Krishnakumar pursued his undergraduate studies in Electronics and Instrumentation Engineering, followed by a postgraduate degree in Applied Electronics from a leading engineering institution. His academic background provided him with a strong foundation in circuit design, instrumentation, automation, and advanced electronics. He has consistently built on this knowledge by engaging in research and publishing in high-impact journals. Currently, he is pursuing a doctoral degree in the field of medical image processing and artificial intelligence applications, where his research work focuses on developing efficient computational models for healthcare diagnostics and related applications, supported by academic rigor and innovation.

Professional Experience

Krishnakumar has served as an Assistant Professor in reputed engineering institutions, contributing to both teaching and research. He has taught courses in biomedical engineering, robotics, and automation, integrating practical applications with theoretical learning. Beyond classroom teaching, he has mentored students for major innovation competitions, including hackathons and national-level innovation challenges. His professional journey demonstrates a blend of academic instruction, research contribution, and mentoring for innovation and entrepreneurship. He has actively coordinated faculty development programs, technical workshops, and bootcamps, which have fostered creativity and critical thinking among students and faculty members across interdisciplinary domains.

Awards and Recognition

Throughout his academic and professional career, Krishnakumar has received recognition for his teaching, research, and mentoring excellence. He has participated in national and international conferences, presenting his research findings on automation, medical image analysis, and signal processing. His leadership in guiding students to success in national hackathons and innovation challenges has been acknowledged at institutional and government levels. He has also been recognized for his communication and debating skills in national-level events, earning accolades for his ability to inspire and engage audiences. His consistent achievements highlight his dedication to academic excellence and technological innovation.

Research Skills

Krishnakumar has strong research expertise in medical image analysis, artificial intelligence, robotics, and embedded systems. His work includes developing innovative computational models for disease diagnosis, advanced image processing techniques, and intelligent system design. He has published research in reputed Q1 and Q2 indexed journals and contributed to multiple patents that reflect practical solutions in automation, healthcare, and consumer technologies. His skills extend to tools such as MATLAB, LabVIEW, and LTspice, along with programming proficiency. His ability to integrate theoretical research with real-world applications has made significant contributions to the fields of applied electronics and biomedical engineering.

Notable Publications

Analysis of EEG signal for the estimation of concentration level of humans
Author: R Velnath, V Prabhu, S Krishnakumar
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012003
Year: 2021
Citations: 18

Review on sensor based colour sorting robot for candy manufacturing
Author: S Krishnakumar, K Sneha, A Reethika
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012094
Year: 2021
Citations: 6

RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis
Author: K Subramaniam, A Naganathan
Journal: International Journal of Imaging Systems and Technology 34 (5), e23187
Year: 2024
Citations: 2

Enhancing retinal fundus image classification through active gradient deep convolutional neural network and red spider optimization
Author: K Subramaniam, A Naganathan
Journal: Neural Computing and Applications 36 (26), 16607-16619
Year: 2024
Citations: 2

RFLSR based Productive MBIST Architecutre for VLSI
Author: M Supriya, V Jayaraj, S Vinod, VU Maheswari, MA Raja, S Krishnakumar
Journal: 2022 Second International Conference on Advanced Technologies in Intelligent …
Year: 2022
Citations: 1

Conclusion

S. Krishnakumar represents a blend of educator, researcher, and innovator, with his career dedicated to advancing science, technology, and education. His contributions span across classroom teaching, impactful research, and mentorship for innovation-driven learning. He continues to work on interdisciplinary challenges that bridge electronics, automation, and healthcare applications, creating solutions with societal impact. His leadership in student innovation, national hackathons, and faculty training programs has fostered an ecosystem of learning and creativity. With a strong research profile, technical expertise, and passion for teaching, he remains committed to driving excellence in academia and applied technological advancements.

Swati Gangwar | Chemical Engineering | Best Researcher Award

Published-on by Indian Scientist

Swati Gangwar | Chemical Engineering | Best Researcher Award

Indian Institute of Technology, Jammu, India

Author Profile

🎓 EARLY ACADEMIC PURSUITS

Ms. Swati Gangwar began her academic journey in Chemical Engineering with distinction, graduating with first-class honors from the Dr. Ambedkar Institute of Technology for Handicapped (AITH), Kanpur, in 2016. Her strong foundation in core engineering principles was further enhanced during her Master’s degree at Harcourt Butler Technical University (HBTU), Kanpur, where she specialized in advanced heat and mass transfer systems, graduating in 2019.

🏢 PROFESSIONAL ENDEAVORS

Currently a Research Scholar (PhD) at the Indian Institute of Technology (IIT) Jammu, Ms. Gangwar is an emerging scholar in the Department of Chemical Engineering. Her work is focused on natural circulation systems, heat transfer, and passive cooling technologies—an area that intersects both fundamental research and sustainable engineering applications.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON CHEMICAL ENGINEERING

Ms. Gangwar’s research revolves around single-phase natural circulation loops (NCLs) and thermosyphon heat transport devices (THTDs), especially for innovative applications like indoor solar cooktops and passive nuclear safety systems. Her studies contribute to the design and analysis of intrinsically safe, energy-efficient thermal systems. With a blend of experimental validation, analytical modeling, and CFD simulation, she has significantly advanced understanding in this niche but vital area.

Key research areas:

  • Indoor solar cooktops

  • Thermosyphon heat transport devices

  • Single-phase natural circulation

  • Passive cooling systems for SMRs

  • Stability analysis of circulation loops

🏅 ACCOLADES AND RECOGNITION

Swati Gangwar’s research has been published in reputed SCI/Scopus-indexed journals:

  • Nuclear Engineering and Design (2025, 2 publications)

  • IEEE Electrification Magazine (2024)

  • Heat Transfer Engineering Journal (2025, Accepted)

  • ASTFE Digital Library (2024)

She has co-authored papers with renowned scientists such as Dr. P.K. Vijayan, and her work is increasingly cited in the field of passive thermal system design.

🌍 IMPACT AND INFLUENCE

Her work has direct implications for energy sustainability, nuclear safety, and renewable energy. Applications include:

  • Passive cooling systems in Small Modular Reactors (SMRs)

  • Solar-powered thermal reboilers and space-heating

  • Decay heat removal in post-Fukushima nuclear design

  • Cooling for electronic devices and transformers

  • Development of eco-friendly cooking systems

Her contributions offer scalable and sustainable solutions for energy needs, particularly relevant to rural electrification, renewable integration, and disaster-resilient infrastructure.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Swati envisions a future where passive systems become the cornerstone of sustainable design. Her ongoing PhD work is laying the groundwork for:

  • Robust modeling frameworks for CNCLs

  • Development of IMT-PDHRSs for accident-resilient reactors

  • Integration of solar thermal systems in residential and industrial sectors

Her legacy will be defined by bridging theoretical thermohydraulics with real-world energy solutions.

 ✅CONCLUSION

Swati Gangwar is a dynamic and driven researcher whose work is advancing the frontiers of chemical engineering, renewable energy, and passive heat transport. With a clear commitment to both academic rigor and practical application, she is set to become a leading innovator in sustainable thermal systems.

 🔬NOTABLE PUBLICATION:

Title: Insights on the steady-state performance of single-phase natural circulation loops

Authors: Swati Gangwar, Pallippattu Krishnan Vijayan (P.K. Vijayan), Goutam Dutta

Journal: Nuclear Engineering and Design

Year: 2025