Shagufta Riaz | Engineering | Women Researcher Award

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Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan 

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

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Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

πŸŽ“ Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

πŸ’Ό Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

πŸ… Awards and Recognition

Dr. Shagufta Riaz’s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

🌍 Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

πŸ“– Publication Top Notes

  • Fabrication of robust multifaceted textiles by application of functionalized TiOβ‚‚ nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
    • Citations: 95
    • Year: 2019

  • Functional finishing and coloration of textiles with nanomaterials

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, …
    • Citations: 77
    • Year: 2018

  • Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
    • Citations: 58
    • Year: 2019

  • Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications

    • Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, …
    • Citations: 41
    • Year: 2021

  • Cationization of TiOβ‚‚ nanoparticles to develop highly durable multifunctional cotton fabric

    • Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
    • Citations: 31
    • Year: 2022

  • Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles

    • Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
    • Citations: 26
    • Year: 2022

  • Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers

    • Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, …
    • Citations: 24
    • Year: 2019

  • In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections

    • Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
    • Citations: 21
    • Year: 2017

  • Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiOβ‚‚ Nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
    • Citations: 20
    • Year: 2021

  • Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology

    • Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
    • Citations: 16
    • Year: 2018

Praveen Sankarasubramanian | Engineering | Best Researcher Award

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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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πŸŽ“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.

πŸ’ΌProfessional 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. Praveen’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.

πŸ”¬Research 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. Praveen’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.

πŸ†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. Praveen’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.

πŸ“–Publications Titles:

  • A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals πŸ“ŠπŸ’‘
  • AI-driven Safety Mechanisms for Industrial Accidents πŸ”₯πŸ€–
  • Bandwidth Optimization for Video Solutions in Cloud-Based Applications πŸŒπŸ“Ή
  • Predictive Maintenance in Industrial Safety Systems Using Machine Learning πŸ”§πŸ€–
  • Developing Personalized Learning Solutions in Education Technology πŸŽ“πŸ“š
  • Cloud Architecture for Scalable SaaS Platforms β˜οΈπŸ’»

🌟Conclusion:

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. Praveen’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

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

Raouf hassan| Engineering | Best Researcher Award

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Raouf hassan| Engineering | Best Researcher Award

Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi ArabiaπŸŽ“

Dr. Raouf Ahmed Mohamed Hassan is an accomplished Assistant Professor of Civil Engineering with a specialization in Sanitary and Environmental Engineering. Currently employed at the Faculty of Engineering, Aswan University, and Imam Muhammad Ibn Saud Islamic University (IMSIU) in Riyadh, Saudi Arabia, Dr. Hassan has demonstrated expertise in both academic and research domains. With a career objective focused on international academia and the advancement of knowledge in his field, Dr. Hassan is dedicated to fostering innovative ideas and solutions in environmental engineering

Professional Profile 

 

πŸŽ“EducationπŸ§‘β€πŸŽ“

Dr. Hassan earned his Ph.D. and M.Sc. degrees from the prestigious GEPEA laboratory at Nantes University in France, specializing in Environmental Engineering. His academic journey began with a Bachelor of Civil Engineering from South Valley University in Aswan, Egypt, where he graduated with honors. His solid educational foundation has provided him with the necessary skills and knowledge to excel in his chosen field.

πŸ’ΌWork Experience

Dr. Hassan’s professional career spans over two decades, with significant experience in both teaching and research. Since January 2017, he has been serving as an Assistant Professor at IMSIU in Riyadh. Prior to this, he held a similar position at Aswan University, where he contributed significantly to the Civil Engineering Department. His career also includes a tenure as the Head of the Construction & Building Department at the Arab Academy for Science, Technology & Maritime Transport. Over the years, he has taught a wide array of undergraduate and postgraduate courses, supervised numerous student projects, and led impactful research initiatives.

πŸ”Research Focus 

Dr. Hassan’s research focuses primarily on Sanitary and Environmental Engineering, with a particular emphasis on sustainable waste management, water resources, and environmental impact assessment. His recent projects include developing optimized waste disposal and segregation strategies for Saudi Arabia, managing greywater in urban environments, and improving the reliability of water distribution networks. His work is driven by the goal of creating sustainable engineering solutions that address both current and future environmental challenges.

πŸ†Awards and Honors

Throughout his career, Dr. Hassan has been recognized for his contributions to environmental engineering. Although specific awards and honors are not detailed, his receipt of significant research grants from Saudi Arabian institutions, such as the Deputyship for Research & Innovation and the Deanship of Scientific Research at IMSIU, reflects his recognition as a leading researcher in his field. These grants support his ongoing efforts to address pressing environmental challenges through innovative research.

Conclusion

Dr. Raouf Ahmed Mohamed Hassan appears to be a highly qualified and deserving candidate for the Best Researcher Award. His extensive experience in teaching, research, and project management, combined with a strong academic background and involvement in impactful research projects, positions him as a strong contender for the award. Addressing the areas for improvement, particularly by highlighting his publication impact and prior recognition, would further strengthen his application.

πŸ“–Publications : 

  • Anaerobic Co-digestion of Sugar Beet Pulp and Sludge: Influence of Periodic Intermittent Stirring and Mixing Ratio
    πŸ“… Year: 2024
    πŸ“š Journal: Biomass Conversion and Biorefinery
    πŸ”¬πŸŒ±
  • Prediction of Wastewater Treatment Plant Performance through Machine Learning Techniques
    πŸ“… Year: 2024
    πŸ“š Journal: Desalination and Water Treatment
    πŸ€–πŸ’§
  • Optimizing Sludge Extract Reuse from Physico-Chemical Processes for Zero-Waste Discharge: A Critical Review
    πŸ“… Year: 2024
    πŸ“š Journal: Desalination and Water Treatment
    β™»οΈβš—οΈ
  • Modified Rice Husk Waste-Based Filter for Wastewater Treatment: Pilot Study and Reuse Potential
    πŸ“… Year: 2024
    πŸ“š Journal: Chemical Engineering and Technology
    πŸŒΎπŸ’§
  • Advancing Cobalt Ferrite-Supported Activated Carbon from Orange Peels for Real Pulp and Paper Mill Wastewater Treatment
    πŸ“… Year: 2024
    πŸ“š Journal: Desalination and Water Treatment
    🍊πŸ§ͺ
  • Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects
    πŸ“… Year: 2024
    πŸ“š Journal: Sustainability (Switzerland)
    πŸ“ŠπŸŒ
  • Comparing Remote Sensing and Geostatistical Techniques in Filling Gaps in Rain Gauge Records and Generating Multi-Return Period Isohyetal Maps in Arid Regions
    πŸ“… Year: 2024
    πŸ“š Journal: Water (Switzerland)
    πŸŒ§οΈπŸ›°οΈ
  • Performance Assessment of Up-Flow Anaerobic Multi-Staged Reactor Followed by Auto-Aerated Immobilized Biomass Unit for Treating Polyester Wastewater, with Biogas Production
    πŸ“… Year: 2024
    πŸ“š Journal: Applied Water Science
    🏭πŸ”₯
  • Optimizing the Coagulation/Flocculation Process for the Treatment of Slaughterhouse and Meat Processing Wastewater: Experimental Studies and Pilot-Scale Proposal
    πŸ“… Year: 2024
    πŸ“š Journal: International Journal of Environmental Science and Technology
    πŸ–πŸ’¦
  • An Eco-Friendly Solution for Greywater Treatment via Date Palm Fiber Filter
    πŸ“… Year: 2024
    πŸ“š Journal: Desalination and Water Treatment
    🌴🚰