H M IMRAN KAYS | Engineering | Best Researcher Award

Mr. H M IMRAN KAYS | Engineering | Best Researcher Award

Mr. H M IMRAN KAYS, University of Oklahoma, United States

H.M. Imran Kays is a PhD candidate at the University of Oklahomaโ€™s School of Civil Engineering and Environmental Science. He specializes in transportation engineering, particularly in flood propagation and cascading failures in interdependent transportation and stormwater networks. Imranโ€™s research integrates socio-technical systems and crisis response communities, contributing to transportation resilience. His career includes work as a graduate research assistant at renowned institutions, with a solid background in transportation system modeling. Imran also serves as a major in the Corps of Engineers, Bangladesh Army, bringing a unique blend of academic rigor and practical experience. Throughout his career, he has earned numerous awards, including the 2024 Best Poster Award at the Oklahoma Transportation Symposium and various scholarships and fellowships. His innovative work is highly regarded in his field, influencing both academic research and real-world infrastructure solutions.

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Suitability for the “Research for Best Researcher Award” โ€“ H.M. Imran Kays

H.M. Imran Kays, a PhD candidate in Civil Engineering at the University of Oklahoma, stands out as an exceptional candidate for the “Research for Best Researcher Award” due to his impactful research in transportation engineering, particularly focusing on interdependencies between transportation and stormwater networks, resilience frameworks, and the modeling of cascading failures in critical infrastructure systems. His multidisciplinary approach, blending engineering with risk and resilience studies, has led to several high-quality publications, including journal articles and conference proceedings, which reflect his deep understanding of both theoretical and practical aspects of civil engineering and transportation.

Kays’ ongoing work, including his involvement in projects like โ€œModeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks,โ€ showcases his ability to address pressing global challenges like climate change and infrastructure resilience. His research bridges critical gaps in understanding the vulnerabilities of interconnected systems under stress, making it highly relevant to contemporary issues. Additionally, his impressive list of awardsโ€”such as the Best Poster Award at the 2024 Oklahoma Transportation Symposium and several prestigious scholarshipsโ€”demonstrates recognition of his contributions from the academic community.

๐ŸŽ“ Educationย 

Imran Kays is currently pursuing his PhD in Civil Engineering at the University of Oklahoma, specializing in transportation engineering. He earned his MSc and BSc in Civil Engineering from the Military Institute of Science and Technology (MIST), Bangladesh, where he focused on transportation systems and their resilience. His academic journey includes distinguished research in socio-geographic monitoring, transportation policies, and infrastructure utilization metrics. Imranโ€™s advanced education has been supported by several prestigious scholarships, including the 2024 Donald E Hall Scholarship and the Walt Kolb Civil Engineering Graduate Fellowship. His strong academic foundation underpins his research focus on transportation system modeling, including flood propagation and cascading failures in interdependent systems. The expertise gained during his PhD research is coupled with hands-on experience in major engineering projects, ensuring his work bridges theoretical knowledge with practical solutions in civil engineering.

๐Ÿ’ผ Professional Experienceย 

Imran Kays has substantial professional experience, including roles as a Graduate Research Assistant and PhD student at the University of Oklahomaโ€™s School of Civil Engineering and Environmental Science, the Department of Civil and Environmental Engineering at Florida International University, and Georgia Southern University. His research primarily focuses on transportation engineering, with key studies on the interdependencies between transportation and stormwater networks. As a graduate research assistant, Imran has contributed to numerous high-impact projects, applying his expertise in flood modeling, traffic management, and crisis response frameworks. In addition to his academic work, Imran serves as a Major in the Corps of Engineers, Bangladesh Army, where he applies his engineering knowledge to real-world infrastructure and crisis management challenges. His professional experience spans a broad spectrum, from hands-on traffic analysis to sophisticated modeling and resilience planning, which has shaped his approach to solving complex engineering problems.

๐Ÿ… Awards and Recognition

Imran Kays has received multiple awards and recognitions throughout his academic career. He was honored with the Best Poster Award at the 2024 Oklahoma Transportation Symposium and has been awarded the 2024 Donald E Hall Scholarship and the 2024 Cleo Cross Scholarship. His academic excellence is further acknowledged by the 2024 Walt Kolb Civil Engineering Graduate Fellowship and the 2024 Bullard Dissertation Completion Fellowship. These accolades underscore his outstanding contributions to transportation research. Imranโ€™s dedication to his field has also earned him the 2024 Robberson Travel Grant and the 2023 Gallogly College of Engineering Scholarship, among others. In addition to academic scholarships, Imran has been recognized for his work on the intersection of transportation and stormwater systems, with multiple publications and presentations at prestigious conferences. His achievements reflect his leadership in the field and his commitment to advancing transportation engineering.

๐ŸŒ Research Skills On Engineering

Imran Kays is a skilled researcher with a focus on transportation system modeling, resilience frameworks, and socio-technical systems in infrastructure. His expertise lies in analyzing and modeling the interdependencies between transportation and stormwater networks, exploring cascading failures during natural disasters. Imran has developed advanced resilience frameworks for transportation systems, incorporating data-driven approaches to assess infrastructure vulnerability and develop adaptive strategies. His work on integrating socio-geographic monitoring with transportation policies has received significant attention for its potential to shape future urban transportation planning. Additionally, Imranโ€™s research includes flood modeling, crisis response communities, and risk perception analysis in online social networks. He employs a combination of AI, machine learning, and GIS to predict long-term traffic patterns and assess infrastructure resilience under varying conditions. Imranโ€™s research contributes to the practical application of civil engineering in managing disasters and enhancing the resilience of transportation networks.

ย ๐Ÿ“– Publication Top Notes

  • H-CTM for simulating non-lane-based heterogeneous traffic
    Authors: HMI Kays, TH Shimu, M Hadiuzzaman, SM Muniruzzaman, …
    Citation: Transportation Letters, 11 (7), 382-390
    Year: 2019
  • Identifying crisis response communities in online social networks for compound disasters: the case of hurricane Laura and COVID-19
    Authors: KA Momin, HMI Kays, AM Sadri
    Citation: Transportation Research Record, 03611981231168120
    Year: 2023
  • Centrality-based lane interventions in road networks for improved level of service: the case of downtown Boise, Idaho
    Authors: MA Ahmed, HMI Kays, AM Sadri
    Citation: Applied Network Science, 8 (1), 2
    Year: 2023
  • Exploring the interdependencies between transportation and stormwater networks: The case of Norman, Oklahoma
    Authors: HMI Kays, AM Sadri, KKM Muraleetharan, PS Harvey, GA Miller
    Citation: Transportation Research Record, 2678 (5), 491-513
    Year: 2024
  • Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs
    Authors: HM Kays, AM Sadri
    Citation: arXiv preprint arXiv:2208.10039
    Year: 2022
  • Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm
    Authors: HM Kays, KA Momin, MB Thwala, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2212.08616
    Year: 2022
  • Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks
    Authors: HMI Kays, AM Sadri, PS Harvey, GA Miller
    Citation: International Journal of Critical Infrastructure Protection, 100741
    Year: 2025
  • Translating Risk Narratives in Socio-Technical Systems into Infrastructure Utilization Metrics During Compounding Hazard Events
    Authors: HMI Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: Arif, Translating Risk Narratives in Socio-Technical Systems into โ€ฆ
    Year: 2024
  • A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
    Authors: HM Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2401.07371
    Year: 2024
  • A Structural Equation Modeling Approach to Understand User’s Perceptions of Acceptance of Ride-Sharing Services in Dhaka City
    Authors: MMI Sourav, MR Islam, HM Kays, M Hadiuzzaman
    Citation: arXiv preprint arXiv:2210.04086
    Year: 2022

Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian, RMD Research labs, India

Dr. Praveen Sankarasubramanian is a distinguished technologist and researcher with over 13 years of experience in software development, AI, cloud computing, and industrial safety. Currently, he serves as a Senior Software Developer at Pearson India Education Services, specializing in Java, Spring Boot, and AWS Cloud. Dr. Praveen is also the founder of RMD Research Labs, focusing on cutting-edge research in AI, NLP, and safety technologies. His academic expertise is complemented by a Ph.D. in Computer Science and Engineering from VELS University, an M.Tech. in Software Systems from Birla Institute of Technology and Science, and multiple certifications. Dr. Praveen has developed innovative solutions in various domains, including AI-driven safety mechanisms, cloud platforms, and personalized learning systems. His leadership, mentorship, and continuous drive for innovation have made a significant impact on both academic and industry landscapes.

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๐ŸŽ“Education:

Dr. Praveen Sankarasubramanian’s academic journey reflects his dedication to excellence in technology and engineering. He earned a Ph.D. in Computer Science and Engineering from VELS University (March 2018 – August 2023), where he focused on AI, NLP, and cloud-based technologies. His M.Tech. in Software Systems from Birla Institute of Technology and Science, Pilani (2015-2017) provided a solid foundation in advanced software development techniques. Further expanding his expertise, Dr. Praveen completed an Advanced Diploma in Industrial Safety from Bharat Sevak Samaj (2017-2018). Additionally, he pursued a Post Graduate Program in Business Administration with a focus on operations from Symbiosis (2012-2014). His academic background equips him with a diverse skill set, enabling him to tackle complex problems in software engineering, AI, and industrial safety. This foundation has played a key role in his successful integration of theoretical knowledge with practical solutions.

๐Ÿ’ผProfessional Experience:

Dr. Praveen Sankarasubramanian has extensive professional experience, having held leadership roles in major global tech companies. Currently, he is a Senior Software Developer at Pearson India Education Services, where he focuses on cutting-edge technologies such as Java, AWS Cloud, and Spring Boot. Before this, Dr. Praveen was a Senior Software Engineer at Cognizant, where he managed multiple projects in personalized learning and analytics. He oversaw a cross-functional team of 48 members and led seven parallel projects, successfully meeting organizational and project goals. Dr. Praveenโ€™s experience also spans roles at Software AG, GlobalLogic, and 8K Miles Software Services, where he developed cloud-based systems and advanced data analytics solutions. As the founder of RMD Research Labs, he continues to lead research projects in AI and NLP. His career has consistently showcased his ability to merge leadership with technical innovation to drive impactful solutions in both academia and industry.

๐Ÿ”ฌResearch Skills:

Dr. Praveen Sankarasubramanian possesses a diverse and highly advanced skill set in research, combining expertise in artificial intelligence (AI), natural language processing (NLP), machine learning (ML), cloud computing, and industrial safety. His research work spans several impactful areas, such as developing AI-driven safety systems, optimizing cloud platforms, and advancing personalized learning solutions in education technology. Dr. Praveen has also contributed to bandwidth optimization for video solutions and AI for predictive maintenance. His interdisciplinary approach allows him to apply theoretical research to real-world challenges, resulting in the creation of patents and innovative software solutions. Additionally, he has honed his skills in project management, utilizing Agile, Scrum, and JIRA to lead research teams effectively. Dr. Praveenโ€™s research has not only influenced the tech industry but also shaped academic curricula, through his mentorship and contributions to educational resources such as books and journals for students.

๐Ÿ†Awards and Recognition:

Dr. Praveen Sankarasubramanian’s dedication to innovation and technology has earned him numerous accolades throughout his career. He holds a patent for a system to monitor and handle liquid sodium leakage and fire accidents using AI, which showcases his contribution to industrial safety. His work on bandwidth optimization for video solutions also demonstrates his innovative approach to solving critical tech challenges. Dr. Praveenโ€™s leadership and expertise in cloud computing, AI, and software development have been widely recognized within the tech industry, especially during his tenure at Pearson India and Cognizant. He has also been recognized for his mentorship, having successfully onboarded and guided numerous associates and students in their professional journeys. As a researcher, his contributions have further been acknowledged in academic circles, making him a trusted mentor for the next generation of engineers. His accolades reflect his commitment to excellence, both as a researcher and as a leader.

๐Ÿ“–Publications Titles:

  • A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals ๐Ÿ“Š๐Ÿ’ก
  • AI-driven Safety Mechanisms for Industrial Accidents ๐Ÿ”ฅ๐Ÿค–
  • Bandwidth Optimization for Video Solutions in Cloud-Based Applications ๐ŸŒ๐Ÿ“น
  • Predictive Maintenance in Industrial Safety Systems Using Machine Learning ๐Ÿ”ง๐Ÿค–
  • Developing Personalized Learning Solutions in Education Technology ๐ŸŽ“๐Ÿ“š
  • Cloud Architecture for Scalable SaaS Platforms โ˜๏ธ๐Ÿ’ป

๐ŸŒŸConclusion:

Dr. Praveen Sankarasubramanian is a highly qualified and innovative researcher whose contributions to AI, cloud computing, and industrial safety have made a significant impact. His ability to blend academic knowledge with practical solutions, demonstrated through patents and cutting-edge technologies, highlights his research excellence. With over 13 years of experience, he has successfully led teams, managed complex projects, and mentored the next generation of engineers. Dr. Praveenโ€™s leadership, technical expertise, and dedication to continuous innovation make him a deserving candidate for the Research for Best Researcher Award, marking him as a pioneer in his field.

Top Notable Publications

  • ๐Ÿ‘ค Enhancing precision in agriculture: A smart predictive model for optimal sensor selection through IoT integration
    • Authors: Sankarasubramanian, P.
    • Citations: 0 ๐ŸŒŸ
    • Year: 2025 ๐ŸŽ“
    • Journal: Smart Agricultural Technology ๐Ÿ“–
  • ๐Ÿ‘ค An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
    • Authors: Sankarasubramanian, P.
    • Citations: 0 ๐ŸŒŸ
    • Year: 2024 ๐ŸŽ“
    • Journal: Multimedia Tools and Applications ๐Ÿ“–
  • ๐Ÿ‘ค Protection of Hazardous Places in Industries using Machine Learning
    • Authors: Sankarasubramanian, P.
    • Citations: 1 ๐ŸŒŸ
    • Year: 2023 ๐ŸŽ“
    • Conference: 2023 International Conference on Emerging Smart Computing and Informatics (ESCI 2023) ๐Ÿ’ผ
  • ๐Ÿ‘ค Artificial intelligence-based detection system for hazardous liquid metal fire
    • Authors: Sankarasubramanian, P., Ganesh, E.N.
    • Citations: 1 ๐ŸŒŸ
    • Year: 2021 ๐ŸŽ“
    • Conference: Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom 2021) ๐Ÿ’ผ
  • ๐Ÿ‘ค Realtime Pipeline Fire Smoke Detection Using a Lightweight CNN Model
    • Authors: Kumar, V.K.S., Sankarasubramanian, P.
    • Citations: 5 ๐ŸŒŸ
    • Year: 2021 ๐ŸŽ“
    • Conference: Proceedings of the 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021) ๐Ÿ’ผ
  • ๐Ÿ‘ค IoT based prediction for industrial ecosystem
    • Authors: Sankarasubramanian, P., Ganesh, E.N.
    • Citations: 1 ๐ŸŒŸ
    • Year: 2019 ๐ŸŽ“
    • Journal: International Journal of Engineering and Advanced Technology ๐Ÿ“–