Vidya Nandikolla | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Vidya Nandikolla
California State University, United States

Vidya Nandikolla
Affiliation California State University
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4151-4783

Vidya Nandikolla is an engineering researcher whose published work addresses robotics, simultaneous localization and mapping (SLAM), brain-computer interfaces (BCI), machine learning, and intelligent robotic control. The research portfolio demonstrates an interdisciplinary connection between computational methods, sensing, human–robot interaction, and autonomous systems. [1]

Abstract

The Innovative Research Award profile recognizes Vidya Nandikolla’s contributions to engineering research involving autonomous robotics, SLAM, robotic teleoperation, and BCI-enabled assistive systems. Her publications examine navigation, obstacle avoidance, brain-signal processing, machine learning, and robotic control, reflecting a research direction centered on intelligent and human-interactive robotic technologies. [3]

Keywords

Robotics; SLAM; brain-computer interface; teleoperation; machine learning; LiDAR; autonomous navigation; obstacle avoidance; robotic assistive systems; engineering innovation.

Introduction

Nandikolla’s research sits at the intersection of robotics and intelligent computational systems. Published studies investigate how sensing, localization, learning, and human control can be integrated into mobile and assistive robots. Her work on EEG-based BCI teleoperation further extends robotics toward interfaces that can translate brain activity into control commands. [5]

Research Profile

  • Engineering research focused on robotics and autonomous systems.
  • Research emphasis on SLAM, navigation, and obstacle avoidance.
  • Integration of BCI, machine learning, and robotic teleoperation.

Research Contributions

Key contributions include evaluation of Extended Kalman Filter odometry for 2D LiDAR SLAM, omnidirectional mobile-robot obstacle avoidance, EEG-based robotic arm teleoperation, and semi-autonomous assistive robotics using SLAM. Additional work has examined machine-learning approaches for harvesting brain signals. [3] [4] [5] [6] [7]

Publications

The publication record includes peer-reviewed studies in robotics, SLAM, BCI, and engineering diagnostics. A 2026 Sensors article evaluates Extended Kalman Filter odometry in 2D LiDAR SLAM, while earlier publications address obstacle avoidance, BCI teleoperation, assistive mobile robotics, and machine-learning methods for brain signals. [3] [7]

Research Impact

The supplied research profile records 25 documents, 136 citations, and an h-index of 5. These indicators provide quantitative context for the research record, while the publication topics demonstrate sustained engagement with robotics and intelligent engineering systems. Citation metrics should be interpreted alongside publication quality, research relevance, and scholarly contribution. [1]

Award Suitability

The profile is relevant to the Innovative Research Award because it presents a coherent body of engineering research addressing autonomous navigation, robotic intelligence, human–machine interfaces, and assistive technologies. The combination of experimental robotics and computational methods provides an appropriate scholarly basis for consideration within the Global Innovation Technologist Awards. [3] [5]

Conclusion

Vidya Nandikolla’s research profile reflects a multidisciplinary engineering program connecting robotics, SLAM, machine learning, BCI, and teleoperation. The documented publication record and citation indicators provide evidence of scholarly activity, while the thematic consistency of the work supports its relevance to an innovation-focused academic recognition program.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  2. Merrick, C., & Nandikolla, V. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Sensors.
    https://doi.org/10.3390/s26175468
  3. Nandikolla, V., & Ghoslin, B. (2023). Obstacle Avoidance for Omnidirectional Mobile Robot Using SLAM. ASME Journal of Engineering and Science in Medical Diagnostics and Therap.
    https://doi.org/10.1115/1.4055689
  4. Nandikolla, V., & Medina Portilla, D. A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics, 2022.
    https://doi.org/10.1155/2022/5335523
  5. Matsuno, K., Nandikolla, V., Ghoslin, B., & Medina Portilla, D. A. (2022). A brain-computer interface for teleoperation of a semi-autonomous mobile robotic assistive system using SLAM. Journal of Robotics.
    https://doi.org/10.1155/2021/6178917
  6. Matsuno, K., & Nandikolla, V. (2022). Harvesting brain signals using machine learning methods. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.
    https://doi.org/10.1115/1.4053064

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

Published on by Innovation Technologist

Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Ashish Ranjan Dash | Engineering | Best Researcher Award

Published on by Innovation Technologist

Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.