Suranjan Goswami – Transportation – Best Researcher Award

Posted on 07/08/2024 by ScienceFather

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

SAJAD SAMIEE – Transportation – Best Researcher Award

Posted on 15/06/202415/06/2024 by ScienceFather

SAJAD SAMIEE - Transportation - Best Researcher Award

Arak University of Technology - Iran

AUTHOR PROFILE

GOOGLE SCHOLAR

SAJAD SAMIEE: EXPERT IN RENEWABLE ENERGY AND MECHANICAL ENGINEERING 🌟

EDUCATION AND RESEARCH INTERESTS 🎓

Sajad Samiee holds a Master's degree in Mechanical Engineering with a focus on energy conversion. His primary research interests lie in renewable energy, particularly wind turbines and PV panels, as well as cogeneration and polygeneration systems (CCHP) and 4E analysis. His Master's thesis, titled "4E Analysis of a Solar, Wind, and Waste Heat-Driven CCHP System: A Case Study for a Cruise Ship," reflects his dedication to innovative energy solutions.

TECHNICAL EXPERTISE AND CERTIFICATIONS 📚

Sajad is skilled in hydraulic and pneumatic systems and proficient in using Catia software. He has obtained official certificates in these areas from the Technical and Vocational Training Organization (Arak City Branch). His technical proficiency is a testament to his commitment to continuous learning and professional development.

PROFESSIONAL EXPERIENCE 🌍

Currently, Sajad works as an Oil and Gas Mechanical Engineer at Mashin Sazi Arak, focusing on the design and analysis of heat exchangers, air coolers, pressure vessels, and storage tanks. His role involves developing skills in CFD analysis using Ansys Fluent and CFX, contributing significantly to petrochemical and power plant projects.

PREVIOUS INDUSTRIAL EXPERIENCE 🏭

Before his current role, Sajad gained valuable experience at Navard Aluminum Company, where he worked as a Mechanical and Air Conditioning Engineer. There, he became familiar with automatic hydraulic and pneumatic systems essential for aluminum sheet production. His responsibilities included the repair and maintenance of industrial equipment, enhancing his understanding of technical and mechanical systems.

DIE DESIGNING AND METAL FORMING ⚙️

Sajad also has two years of experience in die designing and working with hydraulic-pneumatic semi-automatic systems at Haji Abad – Arak. This company, a sub-branch of Saipa, manufactures bumpers and fuel tanks. During this period, Sajad mastered various industrial machines and software, including lathes, CNC machines, AutoCAD, and Microsoft Office, broadening his mechanical engineering expertise.

PUBLICATIONS AND ACHIEVEMENTS 📖

Sajad has contributed to the field through several publications and continues to advance his knowledge in renewable energy, CFD, and fluid mechanics. His professional journey is marked by a dedication to innovation and sustainable energy solutions.

COMMITMENT TO SUSTAINABILITY AND TECHNOLOGY 🌿

Through his research and professional work, Sajad Samiee exemplifies a commitment to advancing sustainable technologies and efficient energy systems. His multifaceted expertise and practical experience make him a valuable asset in the field of mechanical engineering and renewable energy.

NOTABLE PUBLICATION

4E analysis of a solar, wind and waste heat-driven CCHP system: A case study for a cruise ship 2024

Authors: Sajad Samiee, Abolfazl Hajizadeh Aghdam

Publication date: 2024/6/6

Journal: Applied Thermal Engineering

Publisher: Pergamon

Di Kang – Transportation – Best Researcher Award

Posted on 02/05/2024 by ScienceFather

Di Kang - Transportation - Best Researcher Award

WSP USA - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Di Kang's academic journey commenced with a Bachelor of Engineering in Transportation - Airport Operations and Management from Nanjing University of Aeronautics and Astronautics. This laid the foundation for his subsequent academic pursuits, where he delved deeper into the field of Transportation through advanced degrees.

PROFESSIONAL ENDEAVORS

Di Kang has undertaken various professional roles that have allowed him to apply his expertise in Transportation. From serving as a Graduate Teaching Assistant to assuming responsibilities as a Rail Simulation Modeling Intern at WSP Global Inc., his professional endeavors have been diverse and impactful.

CONTRIBUTIONS AND RESEARCH FOCUS

Di Kang's research focus primarily revolves around transportation-related issues, with a particular emphasis on rail operations and safety. His contributions include projects funded by the Federal Railroad Administration, addressing topics such as risk analysis methodology for hazardous material transportation and correlation between track geometry conditions and broken rails.

IMPACT AND INFLUENCE

Through his research and intern experiences, Di Kang has made a significant impact on the field of Transportation. His work has contributed to enhancing rail safety, improving risk assessment methodologies, and developing innovative solutions for transportation challenges. His insights and findings have the potential to influence policies and practices in the transportation industry.

ACADEMIC CITES

Di Kang's research projects, funded by reputable organizations like the Federal Railroad Administration, have garnered academic attention and citations. His publications and contributions to the field have been recognized by peers and researchers, further solidifying his reputation as a respected authority in transportation-related research.

LEGACY AND FUTURE CONTRIBUTIONS

As Di Kang continues his academic and professional journey, his legacy lies in his dedication to advancing knowledge and practices in Transportation. His research endeavors have the potential to shape the future of transportation systems, improving efficiency, safety, and sustainability. Through his continued contributions, he aims to leave a lasting impact on the field and inspire future generations of transportation professionals.

NOTABLE PUBLICATION

Artificial Intelligence-Aided Grade Crossing Safety Violation Detection Methodology and a Case Study in New Jersey 2023

A Multiclass Link Transmission Model for a Class-Varying Capacity and Congested Wave Speed 2023

Analysis of Derailment Severity Comparing Unit Trains at Transload Terminals and Manifest Trains at Railroad Switching and Hump Classification Yards 2023 (2)