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

Ahmad Shahrul Nizam – Driver Fatigue Management – Best Researcher Award

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Ahmad Shahrul Nizam - Driver Fatigue Management - Best Researcher Award

Universiti Teknologi PETRONAS - Malaysia

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dr. Ahmad Shahrul Nizam Bin Isha began his academic journey by obtaining a Master of Science degree in Health Science from Universiti Kebangsaan Malaysia in 2001. This laid the foundation for his future endeavors in academia and research.

PROFESSIONAL ENDEAVORS

His commitment to advancing his knowledge and skills led him to pursue a Ph.D. in Applied Psychology (Occupational Health Psychology) at the University of Nottingham, United Kingdom, which he successfully completed in 2012. Additionally, he obtained various professional certificates, including the prestigious Australian Prime Minister Endeavour Executive Award Post Doc. Research Fellowship in Occupational Health at the University of Queensland, Australia, in 2011.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Nizam's expertise lies in behavioral-based safety, safety culture, health psychology, and sustainability. His extensive research contributions are reflected in numerous academic articles, book chapters, refereed journals, and conference proceedings, both locally and internationally. Furthermore, his involvement in consultancy projects and industry training underscores his practical application of research findings in real-world settings.

IMPACT AND INFLUENCE

Dr. Ahmad Shahrul Nizam Bin Isha's impact extends beyond academia. He has been actively involved in shaping occupational health and safety standards, serving on committees and working groups for organizations such as the Department of Occupational Safety and Health Malaysia (DOSH), Department of Standards Malaysia (DSM), and Ministry of Health Malaysia. His appointments highlight his expertise and recognition in the field, contributing significantly to improving standards and guidelines.

ACADEMIC CITATIONS

His research contributions have garnered academic recognition, with his work cited by fellow researchers and scholars in the field of Occupational Health Psychology. Through his publications and presentations, Dr. Nizam has made substantial contributions to advancing knowledge and understanding in his areas of expertise.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Ahmad Shahrul Nizam Bin Isha's dedication to sustainable practices and innovative solutions, coupled with his involvement in shaping occupational health and safety standards, demonstrates his commitment to making a positive impact on society. His legacy as an outstanding academic and researcher in the field of Occupational Health Psychology continues to inspire future generations to pursue excellence in academia and research.

DRIVER FATIGUE MANAGEMENT

Dr. Nizam has also made significant contributions to the field of driver fatigue management, integrating principles of occupational health psychology into practices aimed at enhancing safety and well-being in transportation settings. Through his research and consultancy efforts, he has provided valuable insights and solutions for addressing this critical issue, ensuring the safety of drivers and passengers alike.

NOTABLE PUBLICATION

Mindfulness Research: A Bibliometric Analysis  2023 (2)