Jiqiang Li | Transportation Engineering | Research Excellence Award

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Dr. Jiqiang Li | Transportation Engineering | Research Excellence Award

Assistant Researcher | Dalian Maritime University | China

Dr. Jiqiang Li is an active researcher whose scholarly work focuses on advanced control theory, autonomous systems, and intelligent guidance and navigation of unmanned vehicles, particularly unmanned surface vehicles (USVs) and autonomous marine systems. Their research emphasizes robust and adaptive control, event-triggered mechanisms, fault-tolerant control strategies, cooperative control of multi-agent systems, and intelligent navigation under uncertain and disturbance-prone environments. Through rigorous theoretical development combined with simulation and application-oriented validation, their contributions have advanced the reliability, efficiency, and safety of autonomous and networked control systems. Jiqiang Li has authored 74 peer-reviewed research documents, which collectively have received 1,402 citations, reflecting sustained academic impact and recognition within the control systems and robotics research community. With an h-index of 20, their body of work demonstrates both productivity and influence, particularly in areas related to marine vehicle control, distributed coordination, and adaptive guidance laws. Their publications appear in reputable international journals and conference proceedings, contributing to the ongoing development of intelligent autonomous systems and modern control methodologies.

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Featured Publications

Nimrah Saeed – Environmental Sustainability – Best Researcher Award

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Nimrah Saeed - Environmental Sustainability - Best Researcher Award

Zhejiang University - China

AUTHOR PROFILE

SCOPUS

PROFESSIONAL SUMMARY 🧩

Nimrah Saeed is a distinguished researcher and engineer specializing in innovative energy systems and advanced power technologies. Her expertise spans from blockchain-enabled microgrid management to novel converter topologies, showcasing her commitment to advancing sustainable and efficient energy solutions.

PAPER REVIEWER AT JOURNAL OF POWER AND ENERGY ENGINEERING 📝

Since 2020, Nimrah has contributed her expertise as a Paper Reviewer for the Journal of Power and Energy Engineering, Scientific Research Publishing, China. In this role, she evaluates research manuscripts, ensuring the quality and integrity of published studies within the field of power and energy engineering.

PAPER REVIEWER AT AMERICAN JOURNAL OF ELECTRIC POWER AND ENERGY SYSTEMS 🔍

Nimrah has also served as a Paper Reviewer for the American Journal of Electric Power and Energy Systems, Science Publishing Group, New York, USA, since 2018. Her critical evaluation of research papers helps maintain high standards and promotes advancements in electric power and energy systems.

DOCTORATE RESEARCH ON SMART MICROGRID ENERGY MANAGEMENT 💡

Nimrah's PhD research focuses on the development of a Blockchain-enabled Smart Microgrid Energy Management and Trading System. This innovative framework integrates RSA-based blockchain technology for secure transactions and employs an AI-based fuzzy logic controller for optimized energy trading and management. The system’s advanced features include smart contracts for automating trading processes and carbon credit trading to promote sustainability.

POSTGRADUATE RESEARCH ON ISOLATED DC-DC CONVERTERS 🔋

During her postgraduate studies, Nimrah investigated impedance source isolated DC-DC converters for renewable generation systems. She proposed novel topologies such as the Cascaded Z-source Isolated DC-DC Converter (CZIDC) and the Quasi Z-source Multilevel DC-DC step-up isolated Converter (ML-qZDC). Her research, verified through SIMULINK MATLAB, highlighted these converters’ efficiency and versatility in energy applications.

UNDERGRADUATE RESEARCH ON MULTILEVEL CACHE DESIGN 🖥️

In her undergraduate research, Nimrah utilized design space exploration (DSE) techniques to evaluate multilevel cache design alternatives for multi-core systems. She employed the MARSSx86 simulation tool to achieve high-performance simulations and detailed cache modeling, contributing to advancements in multi-core architecture and system simulation.

ENGINEERING EXPERIENCE AT HEAVY INDUSTRIES TAXILA ⚙️

In July 2011, Nimrah worked as an Electrical Engineer at Heavy Industries Taxila (HIT) in Pakistan. Her role involved hands-on engineering tasks, providing her with valuable experience in industrial applications and practical engineering solutions.

NOTABLE PUBLICATION

Optimal State-of-Charge Management for Electric Vehicle Batteries Using Eagle Particle Swarm Optimization-Based Hybrid Deep Reinforcement Learning
Authors: M.Z. Afzal, F. Wen, M. Aurangzeb, N. Saeed
Year: 2023
Conference: 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Design of Adaptive Training Control in Dispatcher Training Simulators
Authors: X. Lai, H. Chen, A. Dong, N. Saeed, Z. Han
Year: 2023
Conference: Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

Suranjan Goswami – Transportation – Best Researcher Award

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Suranjan Goswami - Transportation - Best Researcher Award

Indian Institute of Information Technology - India

AUTHOR PROFILE

SCOPUS

PROFESSIONAL SUMMARY 🧠

Suranjan Goswami is a dedicated AI and Computer Vision Engineer known for his expertise in developing and deploying advanced AI and machine learning models. With a strong background in Python, feature engineering, and data analysis, Suranjan focuses on enhancing project performance and efficiency through innovative AI solutions.

CURRENT POSITION AT OLA ELECTRIC 🚗

As a Senior Research Engineer at Ola Electric since November 2023, Suranjan is pivotal in developing a vision pipeline for automating mechanical tasks at the Ola Future Factory. His work includes creating an AI-based path planning system for optimal storage and route planning in dark warehouses, implementing camera-based pick and place systems using robots, and enhancing 3D point cloud registration and stitching for precise vehicle frame alignment.

PREVIOUS ROLE AT TRIMBLE 🌐

From September 2022 to September 2023, Suranjan served as a Computer Vision Engineer at Trimble. There, he developed and deployed sophisticated AI models that significantly improved performance and efficiency. His role involved spearheading projects in multi-spectral odometry and point cloud registration, demonstrating his proficiency in deep learning technologies like GAN and ResNet for image analysis.

RESEARCH EXPERIENCE AT DRDO 🔬

Between January 2014 and October 2015, Suranjan worked as a Junior Research Fellow at the Defence Research and Development Organization (DRDO). His responsibilities included developing and deploying performance evaluation metrics for the DRONA network, collaborating with statisticians and psychologists on evaluation scales, and managing R&D tasks at the Defence Institute of Psychological Research (DIPR) in Delhi.

EXPERTISE IN COMPUTER VISION AND AI 🖼️

Suranjan's expertise spans across computer vision, AI, and machine learning, with a strong focus on generative AI and multi-spectral imaging. He has a deep understanding of point cloud registration and statistical analysis, and his proficiency in Python has been crucial for data ETL and analysis, contributing to the successful execution of various high-impact projects.

DEEP LEARNING AND DATA ANALYSIS 📊

Utilizing deep learning technologies such as GAN and ResNet, Suranjan has driven advancements in image analysis. His skills in data analysis and statistical methods have enabled him to deliver valuable insights and recommendations through collaborative efforts with cross-functional teams, further enhancing the efficacy of AI models.

ONLINE PRESENCE AND PROFESSIONAL NETWORK 🌐

Suranjan maintains a strong professional presence through various online platforms, including LinkedIn, Google Scholar, IEEE DataPort, and GitHub. These profiles showcase his extensive contributions to the field, including published research and project portfolios, reinforcing his role as a leading expert in AI and computer vision.

NOTABLE PUBLICATION

A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
Authors: Goswami, S., Singh, S.K., Chaudhuri, B.B.
Year: 2023
Conference: Communications in Computer and Information Science

A Simple Mutual Information Based Registration Method for Thermal-Optical Image Pairs Applied on a Novel Dataset
Authors: Goswami, S., Singh, S.K.
Year: 2022
Conference: 2022 3rd International Conference for Emerging Technology, INCET 2022

A Simple Deep Learning Based Image Illumination Correction Method for Paintings
Authors: Goswami, S., Singh, S.K.
Year: 2020
Journal: Pattern Recognition Letters

Lila Dhar Sigdel – Transportation engineering – Best Researcher Award

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Lila Dhar Sigdel - Transportation engineering - Best Researcher Award

Douglas Partners Pty Ltd - Australia

AUTHOR PROFILE

Scopus
ORCID

EARLY ACADEMIC PURSUITS

Lila Dhar Sigdel embarked on his academic journey with a Bachelor of Civil Engineering from Tribhuvan University, Nepal. This foundational education provided him with a solid understanding of civil engineering principles and laid the groundwork for his future endeavors in the field of transportation engineering.

PROFESSIONAL ENDEAVORS

Sigdel's professional journey began with a role as a Graduate Geotechnical Engineer at Douglas Partners Pty Ltd. In this capacity, he gained valuable experience in conducting field investigations, assisting in design processes, and performing engineering calculations related to geotechnical structures. His role also involved collaborating with multidisciplinary teams to develop innovative solutions for complex geotechnical challenges.

CONTRIBUTIONS AND RESEARCH FOCUS

Sigdel's contributions extend beyond his professional roles to include research endeavors during his tenure as a Research Trainee at Western Sydney University. Here, he was involved in geotechnical investigation, site risk assessment, and laboratory soil testing. His research focused on foundational aspects of geotechnical engineering, contributing to the understanding of soil behavior and its implications for infrastructure projects.

IMPACT AND INFLUENCE

Sigdel's work as a Casual Academic Tutor further underscores his commitment to knowledge dissemination and academic excellence. By running tutorial classes, preparing practical works, and supervising engineering labs, he played a pivotal role in nurturing the next generation of engineers. His efforts contributed to the development of teaching experience and the enhancement of students' learning outcomes.

ACADEMIC CITATIONS

While Sigdel's academic citations may not be explicitly mentioned in the provided information, his contributions to geotechnical engineering and transportation engineering are evident through his research, professional experiences, and educational background.

LEGACY AND FUTURE CONTRIBUTIONS

Sigdel's legacy lies in his dedication to excellence in both academia and industry. His multidisciplinary expertise in geotechnical engineering and transportation engineering positions him as a valuable asset in addressing contemporary challenges in infrastructure development and transportation systems. Moving forward, Sigdel is poised to continue making significant contributions to the field through his expertise, passion, and commitment to excellence.

TRANSPORTATION ENGINEERING

Sigdel's professional and academic journey highlights his involvement in various aspects of transportation engineering, including site risk assessment for infrastructure development, supervision of project development stages to meet design standards, and the preparation of technical reports related to transportation infrastructure. His expertise in this field is demonstrated through his hands-on experience and academic achievements, making him a proficient practitioner and contributor to the advancement of transportation engineering practices.

NOTABLE PUBLICATION

Response of approach to integral abutment bridge under cyclic thermal movement.  2021 (4)