Surya Prakash Mishra | Robotics | Research Excellence Award

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Mr. Surya Prakash Mishra | Robotics | Research Excellence Award

National Institute of Technology, Rourkela | India

Surya Prakash Mishra is a motivated mechanical engineering researcher with strong expertise in intelligent robotic systems, mechanical design, and control engineering. Currently pursuing advanced doctoral research at a premier national institute, he holds a postgraduate specialization in Machine Design and Analysis and a foundational degree in Mechanical Engineering. His academic and research journey reflects a blend of theoretical depth and practical competence in robotics, CAD/CAE, optimization algorithms, and control strategies. His research work focuses on autonomous and intelligent robotic platforms, particularly autonomous underwater vehicles, integrating hybrid PID control with metaheuristic optimization techniques such as nature-inspired algorithms. He has also contributed to advanced mechanical system design, including high-load bearing systems, sustainable engineering solutions like refuse-derived fuel from municipal waste, and multiple CAD-driven design projects. With extensive experience as a CAD engineer, product design engineer, technical trainer, faculty member, and project consultant, he has actively contributed to industry-oriented training and academic mentoring. His technical proficiency spans robotics simulation, mechanical analysis, CNC manufacturing, and reverse engineering. Recognized for academic excellence, innovation activities, and competitive achievements, his work reflects interdisciplinary thinking and problem-solving ability. Overall, his profile represents a committed researcher and educator dedicated to advancing intelligent systems, sustainable engineering solutions, and next-generation mechanical and robotic technologies.

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Featured Publication

Mishra, S. P., Parhi, D. R., & Sahoo, A. K. (2025). Integration of white shark algorithm with PID in U-ROV navigation for enhanced obstacle avoidance. Ocean Engineering. Advance online publication. https://doi.org/10.1016/j.oceaneng.2025.122501

Priyanka Upadhyay | Robust Navigation | Best Researcher Award

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Ms. Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Netaji Subhas University of Technology | India

Priyanka Upadhyay is a researcher in Electrical Engineering with growing contributions in autonomous robotics, intelligent navigation, and control systems. She is pursuing a doctoral degree focused on robust navigation of autonomous robots and holds postgraduate and undergraduate qualifications in Electrical Power Systems and Electrical & Electronics Engineering. Her research record includes publications on hybrid path-planning algorithms, enhanced Bezier-based trajectory modeling, autonomous mobile robot navigation, and control strategies for multi-link manipulators. Her work has gained academic attention, reflected in 16 citations, an h-index of 2, and i10-index of 0, demonstrating steadily increasing scholarly visibility with 8 citations since 2020. She has prior teaching experience as a faculty member in Electrical Engineering and has participated in several conferences, faculty development programs, and short-term courses related to artificial intelligence, optimization, robotics, renewable integration, and power electronics. Her technical expertise is strengthened by hands-on training in tools such as MATLAB and experience in industrial settings. She has earned recognition including a Silver Medal for an NPTEL Robotics certification and reviewer certification from an international robotics journal. Her research interests include electrical machines, robotic navigation, path planning, and intelligent control. She continues to advance her academic profile with a commitment to innovation, learning, and collaborative research.

Profile: Google Scholar

Featured Publications

Upadhyay, P., Rajesh, N., Garg, N., & Singh, A. (2015). Evaluating seed germination monitoring system by application of wireless sensor networks: A survey. In Computational Intelligence in Data Mining—Volume 2: Proceedings of the … (Cited by: 3).

Upadhyay, P., Singh, A., & Garg, N. (2014). Modeling software maintainability and quality assurance in the agile environment. International Journal of Database Theory and Application, 7(3), 83–90. (Cited by: 3).

Singh, P., Upadhyay, P., & Singh, S. K. (2025). Unlocking the economic potential of potato cultivars for mini-tuber production under aeroponic culture. Potato Research, 1–24. (Cited by: 2).

Upadhyay, P., Singh, R., & Rani, A. (2023). Reliable autonomous navigation of mobile robot in unconstrained environment. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 531–537). IEEE. (Cited by: 2).

Upadhyay, P., Patil, K. U., Kuber, R., Kulkarni, V., & Singh, A. (2014). Evaluation of hypoxic-ischaemic events in preterm neonates using trans cranial ultrasound. International Journal of Healthcare and Biomedical Research, 3, 67–72. (Cited by: 2).

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.

Aswini Kumar Sahoo | Robotics | Young Scientist Award

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Mr. Aswini Kumar Sahoo | Robotics | Young Scientist Award

NIT Rourkela | India

Aswini Kumar Sahoo is an aspiring technologist and researcher with a strong interest in robotics, artificial intelligence, and optimization algorithms. He is pursuing engineering education at the National Institute of Technology, Rourkela, where he has been actively involved in academic research and technical development. His work spans across underwater robotics, swarm intelligence, and advanced metaheuristic algorithms for navigation and obstacle avoidance. Alongside his technical journey, he has demonstrated leadership through his participation in the National Cadet Corps and has also maintained a passion for competitive chess, showcasing a balanced profile of academic excellence and extracurricular engagement.

Professional Profile

Scopus

Education

Aswini Kumar Sahoo is pursuing his Bachelor of Technology degree in engineering at the National Institute of Technology, Rourkela. His academic journey has been marked by a strong foundation in science and mathematics during his schooling, which enabled him to explore diverse areas in engineering. At NIT, his coursework has covered subjects such as robotics, internet of things, machine learning, neural networks, and data analysis. He has gained practical exposure to programming, embedded systems, and research-driven problem-solving. His education has nurtured both theoretical knowledge and technical proficiency, equipping him with the skills required to contribute meaningfully to the fields of artificial intelligence and robotics.

Professional Experience

Aswini has actively worked on multiple projects in robotics and artificial intelligence, particularly focusing on underwater systems. His contributions include the development of remotely operated and autonomous underwater vehicles, where he integrated metaheuristic optimization techniques with control systems to enhance obstacle avoidance. He has carried out independent research in swarm intelligence and developed fault tolerance mechanisms for underwater autonomous systems. With hands-on experience in microcontrollers, wireless data transmission, and robotics simulation platforms, he has applied both theoretical and practical expertise. His experience reflects a combination of innovation, technical proficiency, and research-driven application, which continues to guide his work in advanced engineering domains.

Awards and Recognition

Aswini Kumar Sahoo has earned recognition through his academic and research pursuits. His notable achievement includes publishing a research paper on integrating metaheuristic algorithms with control systems for underwater robotic navigation. His efforts in innovation and problem-solving have led him to submit multiple research works for consideration in reputed journals. Beyond academics, he has been acknowledged for his leadership in the National Cadet Corps, where he held a cadet rank and participated in national-level camps. His involvement in competitive chess also highlights his analytical thinking and perseverance. These recognitions reflect his dedication to both technical advancement and holistic development.

Research Skills

Aswini has cultivated strong research skills in the areas of robotics, artificial intelligence, and optimization techniques. His work demonstrates expertise in designing and integrating hybrid metaheuristic algorithms for solving complex path planning and navigation challenges. He has proficiency in applying machine learning methods, image recognition, and object detection for real-world problem-solving. His ability to combine theoretical concepts with practical applications is evident in his work on underwater robotics and autonomous systems. Additionally, his independent research in swarm intelligence and fault tolerance systems showcases his ability to explore advanced domains with innovation. His research skills continue to evolve with ongoing exploration in cutting-edge technologies.

Notable Publications

Integration of white shark algorithm with PID in U-ROV navigation for enhanced obstacle avoidance
Author: Aswini Kumar Sahoo
Journal: Ocean Engineering
Year: 2025

Conclusion

Aswini Kumar Sahoo represents a blend of academic dedication, technical innovation, and leadership qualities. His journey so far reflects a commitment to advancing research in robotics and artificial intelligence, with a special focus on underwater systems and optimization algorithms. He has shown the ability to manage both independent and collaborative projects, highlighting adaptability and problem-solving capacity. Beyond academics, his leadership in extracurricular activities and participation in strategic games like chess reflect his multifaceted personality. Aswini continues to explore opportunities to apply his skills in impactful ways, aspiring to contribute significantly to science, technology, and innovative engineering solutions.