Hari Hara Babu Saripalli | Robotics and Automation | Innovative Research Award

Published on by New Scientists

 

Innovative Research Award

Hari Hara Babu Saripalli
Researcher Hari Hara Babu Saripalli
Affiliation Florida International University
Country United States
Google Scholar ID U26AjvIAAAAJ
Subject Area Robotics and Automation
Event New Scientists Awards
IEEE ID 721894778088983
ORCID 0009-0003-2030-9347

Hari Hara Babu Saripalli
Florida International University, United States

Hari Hara Babu Saripalli is a researcher associated with Florida International University whose academic activities focus on Robotics and Automation. His scholarly work contributes to the advancement of intelligent robotic systems, automation technologies, computational methodologies, and interdisciplinary engineering research. His publications and professional activities demonstrate continued engagement with emerging technologies, scientific collaboration, and innovation within robotics research, making his profile relevant to international academic recognition programs.[1]

Abstract

This article summarizes the academic profile of Hari Hara Babu Saripalli, highlighting his research activities within Robotics and Automation. The overview examines his institutional affiliation, scholarly publications, research interests, professional visibility, and scientific contributions while considering the relevance of his work to the Innovative Research Award presented through the New Scientists Awards. The article follows a neutral academic style comparable to encyclopedia-based scientific biographies.[2]

Keywords

Robotics, Automation, Intelligent Systems, Engineering, Artificial Intelligence, Control Systems, Autonomous Systems, IEEE, Scientific Research, Innovation.

Introduction

Modern robotics research integrates computer science, electronics, artificial intelligence, mechanical engineering, sensing technologies, and autonomous control to address industrial and societal challenges. Researchers working in this multidisciplinary domain contribute to innovations that improve manufacturing efficiency, healthcare technologies, intelligent transportation, and human–robot interaction. Hari Hara Babu Saripalli’s academic profile reflects active participation in this evolving research landscape through scientific publications and professional engagement within recognized scholarly communities.[3]

Research Profile

Hari Hara Babu Saripalli is affiliated with Florida International University in the United States. His research interests primarily involve robotics, automation, intelligent systems, computational engineering, and related interdisciplinary technologies. His academic profile is represented through internationally recognized scholarly databases including Google Scholar, IEEE Xplore, and ORCID, providing visibility to his scientific publications and research activities.[1]

Research Contributions

  • Research involving robotics and automation technologies.
  • Participation in engineering research addressing intelligent autonomous systems.
  • Scholarly dissemination through peer-reviewed publications and IEEE indexed works.
  • Contribution to interdisciplinary engineering innovation and computational methodologies.
  • Professional engagement through internationally recognized research platforms.

Publications

The researcher maintains an active scholarly profile with publications indexed through academic databases. These works contribute to the dissemination of research findings in robotics and automation while supporting scientific collaboration across engineering disciplines. Published articles are associated with persistent digital identifiers including DOI records where available.[4]

Research Impact

Research impact is reflected through publication visibility, professional indexing, citation activity, and participation in internationally recognized scholarly networks. The availability of Google Scholar, IEEE, and ORCID profiles enhances discoverability, transparency, and long-term accessibility of scientific outputs while supporting international collaboration and knowledge dissemination.[5]

Award Suitability

Based on publicly available academic information, Hari Hara Babu Saripalli demonstrates characteristics consistent with consideration for an Innovative Research Award. His professional engagement within robotics and automation, institutional affiliation, scholarly dissemination, and participation in recognized academic platforms collectively reflect ongoing contributions to engineering research and technological innovation. Such achievements align with the objectives of international scientific recognition programs that acknowledge meaningful research advancement.

Conclusion

Hari Hara Babu Saripalli represents an active researcher contributing to robotics and automation through scholarly research, academic collaboration, and professional engagement. His research profile reflects sustained participation in engineering innovation and supports the continued development of intelligent technologies within the broader scientific community. The available academic evidence provides a foundation for recognition within international research award initiatives.

References

  1. Google Scholar. (n.d.). Hari Hara Babu Saripalli – Google Scholar Citations.
    https://scholar.google.com/citations?user=U26AjvIAAAAJ&hl=en&oi=ao
  2. ORCID. (n.d.). ORCID Record: 0009-0003-2030-9347.
    https://orcid.org/0009-0003-2030-9347
  3. IEEE Xplore. (n.d.). Author Profile: 721894778088983.
    https://ieeexplore.ieee.org/author/721894778088983
  4. International DOI Foundation. (n.d.). Digital Object Identifier (DOI) System.
    https://doi.org/10.1109/5.771073
  5. New Scientists Awards. (n.d.). Official Awards Website.
    https://newscientists.net/

Ajith V S | Robotics and Automation | Innovative Research Award

Published on by New Scientists

Innovative Research Award

Ajith V S
Jawaharlal College of Engineering and Technology, India

Ajith V S
Affiliation Jawaharlal College of Engineering and Technology
Country India
Scopus ID 57315554900
Documents 7
Citations 55
h-index 3
Subject Area Robotics and Automation
Event New Scientists Awards
ORCID 0000-0001-5602-2995

The Innovative Research Award recognizes emerging researchers whose scholarly activities demonstrate measurable contributions to technological advancement and interdisciplinary problem-solving. This article evaluates the research profile of Ajith V S, whose work spans robotics, digital twins, aerospace systems, and sustainable manufacturing. The assessment considers publication output, citation indicators, research themes, and alignment with the objectives of the New Scientists Awards.[1]

Abstract

Ajith V S has developed a research portfolio focused on intelligent manufacturing systems, digital twin integration, unmanned aerial vehicle performance, and thermal engineering. Current bibliometric indicators show a growing scholarly presence with seven indexed documents, fifty-five citations, and an h-index of three. These metrics, combined with recent publications addressing sustainability and operational efficiency, support consideration for early-career academic recognition.[2]

Keywords

Digital twins; robotics; automation; UAV systems; sustainable manufacturing; turbine blade optimization; cyber-physical systems; aerospace engineering.

Introduction

Contemporary engineering research increasingly emphasizes interdisciplinary solutions that combine automation, sustainability, and data-driven decision-making. Within this context, Ajith V S contributes to the convergence of digital manufacturing technologies and advanced engineering applications. His investigations reflect broader trends in Industry 4.0, where digital twins and cyber-physical systems support resource optimization and operational resilience.[3]

Research Profile

Affiliated with Jawaharlal College of Engineering and Technology, Ajith V S maintains an active publication record in robotics and automation-related domains. His Scopus-indexed work demonstrates an emphasis on translational research that connects theoretical models with industrial applications. The research trajectory shows progression from thermal-fluid studies toward integrated digital systems for manufacturing and aerospace operations.[1]

Research Contributions

  • Development of digital twin frameworks for sustainable manufacturing optimization.
  • Investigation of cyber-physical system integration strategies for industrial environments.
  • Analysis of hybrid fuel cell and battery systems to improve UAV endurance in search-and-rescue missions.
  • Computational studies on turbine blade cooling, flow separation, and material optimization.

Publications

  • Carbon Footprint Reduction Strategies Using Digital Twin Integration Strategy, 2026.
  • Digital Twin–CPS Synergy in Manufacturing, 2026.
  • Enhancing UAV Endurance and Operational Efficiency in Search and Rescue Missions Through Hybrid Fuel Cell and Battery Systems, 2025.
  • Design, Analysis and Material Optimization of Hybrid Cooling for Turbine Blades, 2025.

Research Impact

The citation profile indicates growing visibility within engineering disciplines. Research outputs addressing sustainability, aerospace efficiency, and digital transformation have potential relevance for both academic communities and industrial stakeholders. The integration of environmental considerations with automation technologies reflects alignment with international priorities concerning energy efficiency and smart manufacturing ecosystems.[4]

Award Suitability

The New Scientists Awards emphasize originality, measurable outcomes, and future research potential. Ajith V S demonstrates these attributes through interdisciplinary scholarship, emerging citation performance, and sustained contributions to robotics and automation. The combination of applied engineering research and sustainability-focused innovation supports eligibility for recognition under early-career research categories.[5]

Conclusion

Ajith V S has established a focused research agenda centered on digital twins, aerospace applications, and intelligent manufacturing systems. Available bibliometric indicators and recent publications suggest an upward research trajectory characterized by interdisciplinary engagement and practical relevance. Continued expansion of collaborative networks and publication output is likely to strengthen future academic impact.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Ajith V S, Author ID 57315554900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57315554900
  2. ORCID. (n.d.). Ajith V S: ORCID record 0000-0001-5602-2995.
    https://orcid.org/0000-0001-5602-2995
  3. Ajith V S. (2026). Digital Twin–CPS Synergy in Manufacturing.
    DOI: https://doi.org/10.1201/9781003504825-10
  4. Ajith V S. (2025). Enhancing UAV endurance and operational efficiency in search and rescue missions through hybrid fuel cell and battery systems. Aerospace Traffic and Safety.
    DOI: https://doi.org/10.1016/j.aets.2025.12.005
  5. New Scientists Awards. (n.d.). Award objectives and evaluation framework.
    newscientists.net
  6. Ajith V S. (2025). Design, Analysis and Material Optimization of Hybrid Cooling for Turbine Blades. International Journal for Research in Applied Science and Engineering Technology.

Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

Published on by New Scientists

Dr. Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

Doctor | Beijing University of Posts and Telecommunications | China

Dr. Boyuan Bai is an emerging researcher in advanced visual computing, with a focused contribution to 3D reconstruction, Gaussian Splatting, multi-view scene modeling, and uncertainty-aware machine learning. His work integrates computer graphics, deep learning, and computational geometry to develop intelligent systems capable of producing highly accurate and stable indoor scene reconstructions. With 83 citations, 4 Scopus-indexed publications, and an h-index of 3, he is rapidly establishing a strong research footprint. Dr. Boyuan Bai’s notable scientific contribution centers on UncertainGS, an uncertainty-aware indoor reconstruction framework published in Neurocomputing (SCI/Scopus). This research introduces a novel pipeline that integrates cross-modal uncertainty prediction to guide the optimization of Gaussian Splatting. His methodological innovation improves the fidelity of reconstructed surfaces, especially in textureless or geometrically ambiguous indoor regions. His incorporation of Manhattan-world constraints into the Gaussian Splatting process represents a significant leap forward in aligning 3D surface geometry with real-world structural patterns. His research areas broadly span multi-view 3D reconstruction, Gaussian Splatting, uncertainty modeling, scene understanding, and deep reinforcement learning for geometric perception. He actively contributes to the development of next-generation 3D vision technologies, with applications in robotics, digital twins, AR/VR environments, and autonomous spatial intelligence. His work shows strong potential for large-scale deployment in real-time virtual reconstruction and simulation systems. Dr. Boyuan Bai’s scholarly output includes peer-reviewed journal publications, research project leadership, and scientific contributions that address fundamental challenges in computational imaging. His research achievements demonstrate clear innovation, technical depth, and growing influence in the fields of computer vision and graphics. Through ongoing academic collaborations and continued focus on high-impact research problems, he is emerging as a promising researcher in intelligent 3D scene modeling and uncertainty-aware visual computing.

Profiles: Scopus | IEEE Xplore | ACM Digital Library 

Featured Publications

1. Bai, B., Qiao, X., Lu, P., Zhao, H., Shi, W., & others. (2025). Two grids are better than one: Hybrid indoor scene reconstruction framework with adaptive priors. Neurocomputing, 618(C). https://doi.org/10.1016/j.neucom.2024.129118

2. Huang, Y., Bai, B., Zhu, Y., Qiao, X., Su, X., Yang, L., & others. (2024). ISCom: Interest-aware semantic communication scheme for point cloud video streaming on Metaverse XR devices. IEEE Journal on Selected Areas in Communications, 42(4). https://doi.org/10.1109/JSAC.2023.3345430

3. Zhu, Y., Huang, Y., Qiao, X., Tan, Z., Bai, B., & others. (2023). A semantic-aware transmission with adaptive control scheme for volumetric video service. IEEE Transactions on Multimedia, 25. https://doi.org/10.1109/TMM.2022.3217928

4. Huang, Y., Zhu, Y., Qiao, X., Tan, Z., & Bai, B. (2021). AITransfer: Progressive AI-powered transmission for real-time point cloud video streaming. In Proceedings of the 29th ACM International Conference on Multimedia (MM ’21). https://doi.org/10.1145/3474085.3475624

Ibrahim Aromoye | Artificial Intelligence and Machine Learning | Editorial Board Member

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Mr. Ibrahim Aromoye | Artificial Intelligence and Machine Learning | Editorial Board Member

Graduate Research Assistant | Universiti Teknologi PETRONAS | Malaysia

Mr. Ibrahim Aromoy is a promising researcher in Electrical and Electronic Engineering with a growing scholarly footprint in hybrid UAV systems, artificial intelligence, and intelligent surveillance technologies. His research is centered on the development of a Pipeline Inspection Air Buoyancy Hybrid Drone, a novel UAV concept that combines lighter-than-air and heavier-than-air technologies to improve flight endurance, stability, and inspection efficiency. By integrating deep learning–based object detection architectures into UAV platforms, his work advances real-time pipeline monitoring, anomaly identification, and autonomous decision-making for industrial applications. His contributions span AI-driven automation, robotics, swarm intelligence, energy-efficient IoT systems, and 5G-enabled surveillance technologies. He has authored several research papers in reputable international journals and conferences, including publications in IEEE Access, Neurocomputing, and Elsevier venues. These works address UAV reconnaissance, transformer-based detection models for pipeline integrity assessment, and optimization frameworks inspired by swarm behavior. His research output reflects measurable scholarly influence, with 15 Scopus citations, 7 indexed documents, and an h-index of 2. Mr. Ibrahim Aromoy has participated in multiple research and development projects, contributing to UAV design, embedded hardware integration, machine learning pipelines, and cyber-secure control systems. His work in hybrid drone architecture and automated surveillance has been supported by competitive institutional funding, reinforcing the technological relevance and innovation potential of his research. His scientific contributions extend beyond publications to academic service. He serves as a peer reviewer for high-impact journals such as IEEE Access and Results in Engineering, supporting the advancement of rigorous research dissemination in engineering and applied sciences. His expertise also includes AI vision systems, OpenCV-based automation, and embedded cybersecurity applications for unmanned systems, further strengthening his interdisciplinary research profile. Mr. Ibrahim Aromoy has been recognized with research-focused scholarships and academic distinctions that support his ongoing work in UAV innovation and intelligent automation. Through his integrated expertise in UAV engineering, deep learning, and intelligent inspection systems, he continues to contribute meaningfully to the evolution of smart surveillance, autonomous robotics, and AI-augmented engineering technologies.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate | Web of Science

Featured Publications

1. Aromoye, I., Lo, H., Sebastian, P., Ghulam, E., & Ayinla, S. (2025). Significant advancements in UAV technology for reliable oil and gas pipeline monitoring. Computer Modeling in Engineering & Sciences, 142(2), 1155.

2. Aromoye, I. A., Hiung, L. H., & Sebastian, P. (2025). P-DETR: A transformer-based algorithm for pipeline structure detection. Results in Engineering, 26, 104652.

3. Zahid, F., Ali, S. S. A., & Aromoye, I. A. (2025). Exploring the potential benefits and overcoming the constraints of virtual and augmented reality in operator training. Transportation Research Procedia, 84, 625–632.

4. Mansoor, Y., Zahid, F., Azhar, S. S., Rajput, S., & Aromoye, I. A. (2025). Energy-efficient solar water pumping: The role of PLCs and DC-DC boost converters in addressing water scarcity. Transportation Research Procedia, 84, 681–688.

5. Zahid, F., Rajput, S., Ali, S. S. A., & Aromoye, I. A. (2025). Challenges and innovations in 3D object recognition: The integration of LiDAR and camera sensors for autonomous applications. Transportation Research Procedia, 84, 618–624.