Atif Rehman | AI & Cybersecurity | Best Researcher Award

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Mr. Atif Rehman | AI & Cybersecurity | Best Researcher Award

Vice President at NUST, Pakistan

Summary:

Mr. Atif Rehman is a graduate in Computational Sciences and Engineering with a special focus on control systems, having earned his Master’s degree from the National University of Science and Technology (NUST), Islamabad. He completed his undergraduate studies in Mathematics from the International Islamic University, Islamabad. His academic journey is marked by his commitment to integrating advanced mathematical techniques with engineering applications, particularly in the fields of nonlinear control systems and optimization. Mr. Rehman has contributed to the development of novel optimization algorithms aimed at improving control system performance, notably through his work on Grey Wolf Optimization for robust nonlinear controller design. He is passionate about using his knowledge to develop sustainable, efficient solutions in various domains, including healthcare and transportation.

Professional Profile:

👩‍🎓Education:

  • Master of Science in Computational Sciences and Engineering
    • Institution: National University of Science and Technology (NUST), Islamabad
    • Duration: September 2021 – August 2023
    • CGPA: 3.70 / 4.0
    • Principal Subjects: Linear Control Systems, Nonlinear Control Systems, Adaptive/Closed-loop Control, Sliding Mode Control, Advanced Machine Learning, Deep Learning
    • Research Thesis: “Improved Grey Wolf Optimization-Based Robust Nonlinear Controller Design for Prostate Cancer”
    • Focus: This research bridged the theoretical knowledge of control systems with their practical applications, specifically targeting health technology for prostate cancer treatments.
  • Bachelor of Science in Mathematics
    • Institution: International Islamic University (IIU), Islamabad
    • Duration: September 2017 – August 2021
    • CGPA: 3.61 / 4.0
    • Principal Subjects: Calculus, Linear Algebra, Real Analysis, Numerical Methods, Partial Differential Equations, Fluid Mechanics, Discrete Structures

🏢 Professional Experience:

Mr. Atif Rehman has a strong academic background that bridges both theoretical and applied mathematics, computational sciences, and engineering. His advanced studies in computational sciences and engineering with a focus on control systems, along with his extensive research in optimization techniques, provide him with the necessary skills to contribute significantly to the development of efficient systems. His research endeavors in robust nonlinear controller design and optimization algorithms demonstrate his capacity for both theoretical advancements and practical solutions.

His master’s thesis on designing a robust nonlinear controller for prostate cancer treatment using Grey Wolf Optimization reflects his interest in applying computational techniques to real-world problems. Additionally, his undergraduate studies in mathematics provided him with a robust understanding of the fundamental principles of calculus, linear algebra, and numerical methods, which laid the groundwork for his future research in control systems and optimization.

Research Interests:

Mr. Rehman’s research interests lie at the intersection of control systems, optimization techniques, and machine learning. Specifically, he is keen on the following areas:

  • Deep Reinforcement Learning: Applying reinforcement learning to optimize control systems.
  • Machine Learning: Using machine learning for system modeling and predictive control.
  • Adaptive Control Systems: Developing control strategies that adjust to changing system parameters over time, such as in biomedical applications where system parameters may vary across individuals or conditions.
  • Optimization Techniques: Implementing advanced optimization algorithms like Improved Grey Wolf Optimization, Genetic Algorithms, and reinforcement learning-based optimization to solve complex control problems.

Author Metrics:

  • Publications:
    1. Improved Grey Wolf Optimization-Based Robust Nonlinear Controller Design for Prostate Cancer
    2. Optimized Nonlinear Robust Controller Along with Model-Parameter Estimation for Blood Glucose Regulation in Type-1 Diabetes
    • His works primarily focus on optimization techniques, machine learning, and adaptive control, showing substantial contributions to both academia and practical applications.
  • Citations: His research in robust controller design and adaptive systems has garnered attention in related academic circles, contributing to advancements in both theoretical studies and practical solutions for control systems in biomedical applications.

Top Noted Publication:

A novel adiabatic SRAM cell implementation using split level charge recovery logic

  • Authors: S.D. Kumar, S.K.N. Mahammad
  • Conference: 2015 19th International Symposium on VLSI Design and Test
  • Year: 2015
  • Citations: 14
  • Summary: This work presents an innovative approach to SRAM cell design using split-level charge recovery logic, enhancing the power efficiency and performance of static random-access memory (SRAM) cells. The study discusses the implementation methodology and evaluates the performance improvements.

Efficient IP lookup using hybrid trie-based partitioning of TCAM-based open flow switches

  • Authors: S. Veeramani, S. Noor Mahammad
  • Journal: Photonic Network Communications
  • Volume: 28, Pages 135-145
  • Year: 2014
  • Citations: 14
  • Summary: This paper proposes a hybrid trie-based partitioning method for optimizing IP lookup operations in TCAM-based OpenFlow switches, which improves the speed and efficiency of network traffic handling.

High speed multiplexer design using tree-based decomposition algorithm

  • Author: N.M. Sk
  • Journal: Microelectronics Journal
  • Volume: 51, Pages 99-111
  • Year: 2016
  • Citations: 13
  • Summary: The study introduces a high-speed multiplexer design employing a tree-based decomposition algorithm. This design enhances multiplexer performance by reducing propagation delay and power consumption, proving beneficial for high-speed digital circuits.

Multiplication acceleration through quarter precision Wallace tree multiplier

  • Authors: M.M.A. Basiri, S.C. Nayak, N.M. Sk
  • Conference: 2014 International Conference on Signal Processing and Integrated Networks
  • Year: 2014
  • Citations: 13
  • Summary: This paper describes an acceleration method for multiplication using a quarter-precision Wallace tree multiplier. The approach improves computation efficiency in digital signal processing applications.

Novel approach to secure channel using c-scan and microcontroller in OpenFlow

  • Authors: S. Veeramani, B.N. Rout, S.K.N. Mahammad
  • Conference: 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems
  • Year: 2013
  • Citations: 13
  • Summary: This research outlines a novel approach to securing communication channels in OpenFlow networks using c-scan algorithms and microcontroller-based implementations, enhancing the security protocols in SDN (Software-Defined Networking) environments.

Conclusion:

Assoc. Prof. Dr. Noor Mahammad Sk exemplifies an outstanding researcher with extensive experience, impactful publications, and a strong commitment to academic mentorship and infrastructure development. His contributions to high-performance computing, embedded system design, and FPGA prototyping have been both innovative and practical, addressing key challenges in modern computer architecture. By broadening his international collaborations and enhancing the global visibility of his work, Dr. Noor could further solidify his position as a top-tier researcher. His achievements make him a highly suitable candidate for the Best Researcher Award in the domain of Computer Architecture.

 

Noor Mahammad Sk | Computer Architecture | Best Researcher Award

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Assoc. Prof. Dr. Noor Mahammad Sk | Computer Architecture | Best Researcher Award

Associate Professor at IIITDM Kancheepuram, India

Summary:

Assoc. Prof. Dr. Noor Mahammad Sk is a seasoned academic with two decades of teaching and research expertise. His career at IIITDM Kancheepuram, Chennai, reflects his dedication to advancing computer science education and research. An innovator in high-performance computing, Dr. Noor has developed unique elective courses and established significant research infrastructure. He is well-recognized for mentoring doctoral candidates and overseeing a broad array of student research projects. His extensive involvement in workshops, conferences, and curriculum development underscores his leadership in the academic community.

Professional Profile:

👩‍🎓Education:

Assoc. Prof. Dr. Noor Mahammad Sk completed his advanced education in the field of Computer Science and Engineering, culminating in a distinguished academic and research career. His educational trajectory laid a strong foundation for his expertise, which he has furthered through ongoing academic and professional pursuits at premier institutions.

🏢 Professional Experience:

Dr. Noor Mahammad Sk has over 20 years of teaching experience and nearly 19 years of research experience as of December 31, 2023. Currently, he is an Associate Professor at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, Chennai. His tenure at IIITDM began in 2011, progressing from roles as an Assistant Professor to his current position. He has contributed significantly to academic administration, including serving as Network and Computer Coordinator, Chief Warden, and CSE department timetable coordinator. His professional portfolio includes guiding over 110 student projects at both M.Tech. and B.Tech. levels and establishing the High-Performance Reconfigurable Computing System Engineering (Hprcse) Lab, equipped with cutting-edge workstations, FPGA prototype boards, and industry-sponsored switches.

Research Interests:

Dr. Noor’s research spans several critical areas in Computer Science and Engineering, focusing on:

  • High-performance computing and reconfigurable systems
  • Embedded system design and engineering
  • Advanced FPGA prototyping and testing methodologies
  • Network infrastructure and system optimization

Author Metrics:

  • Research Publications: 39 international journal articles (36 SCI/SCIE-indexed, 39 Scopus-indexed)
  • Conference Papers: 50 international papers, including a best paper award
  • PhD Supervision: 5 completions, 4 ongoing
  • Sponsored Projects: 7 completed
  • Industrial Consultancy: 20 completed projects

Top Noted Publication:

A novel adiabatic SRAM cell implementation using split level charge recovery logic

  • Authors: S.D. Kumar, S.K.N. Mahammad
  • Conference: 2015 19th International Symposium on VLSI Design and Test
  • Year: 2015
  • Citations: 14
  • Summary: This work presents an innovative approach to SRAM cell design using split-level charge recovery logic, enhancing the power efficiency and performance of static random-access memory (SRAM) cells. The study discusses the implementation methodology and evaluates the performance improvements.

Efficient IP lookup using hybrid trie-based partitioning of TCAM-based open flow switches

  • Authors: S. Veeramani, S. Noor Mahammad
  • Journal: Photonic Network Communications
  • Volume: 28, Pages 135-145
  • Year: 2014
  • Citations: 14
  • Summary: This paper proposes a hybrid trie-based partitioning method for optimizing IP lookup operations in TCAM-based OpenFlow switches, which improves the speed and efficiency of network traffic handling.

High speed multiplexer design using tree-based decomposition algorithm

  • Author: N.M. Sk
  • Journal: Microelectronics Journal
  • Volume: 51, Pages 99-111
  • Year: 2016
  • Citations: 13
  • Summary: The study introduces a high-speed multiplexer design employing a tree-based decomposition algorithm. This design enhances multiplexer performance by reducing propagation delay and power consumption, proving beneficial for high-speed digital circuits.

Multiplication acceleration through quarter precision Wallace tree multiplier

  • Authors: M.M.A. Basiri, S.C. Nayak, N.M. Sk
  • Conference: 2014 International Conference on Signal Processing and Integrated Networks
  • Year: 2014
  • Citations: 13
  • Summary: This paper describes an acceleration method for multiplication using a quarter-precision Wallace tree multiplier. The approach improves computation efficiency in digital signal processing applications.

Novel approach to secure channel using c-scan and microcontroller in OpenFlow

  • Authors: S. Veeramani, B.N. Rout, S.K.N. Mahammad
  • Conference: 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems
  • Year: 2013
  • Citations: 13
  • Summary: This research outlines a novel approach to securing communication channels in OpenFlow networks using c-scan algorithms and microcontroller-based implementations, enhancing the security protocols in SDN (Software-Defined Networking) environments.

Conclusion:

Assoc. Prof. Dr. Noor Mahammad Sk exemplifies an outstanding researcher with extensive experience, impactful publications, and a strong commitment to academic mentorship and infrastructure development. His contributions to high-performance computing, embedded system design, and FPGA prototyping have been both innovative and practical, addressing key challenges in modern computer architecture. By broadening his international collaborations and enhancing the global visibility of his work, Dr. Noor could further solidify his position as a top-tier researcher. His achievements make him a highly suitable candidate for the Best Researcher Award in the domain of Computer Architecture.

 

Maria Jesus Moreno-Dominguez | Management | Best Researcher Award

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Dr. Maria Jesus Moreno-Dominguez | Management | Best Researcher Award

Professor at University of Huelva, Spain

Summary:

Dr. Maria Jesus Moreno-Dominguez is a seasoned academic and researcher specializing in business organization and strategic management. With a Ph.D. from the University of Huelva, she has built a career that bridges teaching, research, and academic mentorship. Her work in corporate governance, leadership, and the strategic management of human resources has contributed to understanding and improving organizational effectiveness. Her publications reflect her dedication to investigating the nuances of leadership’s influence on knowledge management and reputation, particularly within family businesses and healthcare institutions.

Professional Profile:

👩‍🎓Education:

Dr. Moreno-Dominguez holds a Ph.D. in Economics and Business Administration from the University of Huelva. Her academic journey is marked by a profound commitment to understanding complex organizational structures and their strategic management implications.

🏢 Professional Experience:

Dr. Moreno-Dominguez is a full-time professor in the area of Business Organization at the Department of Business Management and Marketing, University of Huelva. With extensive teaching experience, she contributes significantly to the development of courses in strategic management and human resource organization. Her professional role is augmented by active participation in academic collaborations, fostering growth and innovation within the academic community.

Research Interests:

Dr. Moreno-Dominguez’s research focuses on the intersection of Strategic Management of Human Resources, Corporate Governance, and Family Business. Her scholarly work aims to deepen the understanding of leadership, knowledge management, and their impacts on organizational efficiency, particularly within complex environments like hospitals and family-owned enterprises.

Author Metrics:

Dr. Moreno-Dominguez’s scholarly contributions have been recognized in international journals indexed by databases such as Web of Science. Her research has garnered attention for its practical implications and cross-disciplinary relevance in economics and business management.

Top Noted Publication:

“Organizational Culture and Leadership Style in Spanish Hospitals: Effects on Knowledge Management and Efficiency”

  • Authors: M.-J. Moreno-Domínguez, T. Escobar-Rodríguez, Y.-M. Pelayo-Díaz, I. Tovar-García
  • Journal: Heliyon
  • Year: 2024
  • Volume/Issue: 10(20)
  • Article ID: e39216

“Influence of Leadership Style on Knowledge Management and Hospital Efficiency”

  • Authors: M.-J. Moreno-Domínguez, T. Escobar-Rodríguez, Y.-M. Pelayo-Díaz
  • Journal: Gaceta Sanitaria
  • Year: 2023
  • Volume: 37
  • Article ID: 1023423

“Reputation and Leadership: A Study About Reputational Transfer in Family and Non-Family Firms”

  • Authors: M.-J. Moreno-Domínguez, M.-P. Martín-Zamora, I. Serrano-Czaia, L. Rodríguez-Ariza
  • Journal: Cuadernos de Gestión
  • Year: 2022
  • Volume/Issue: 22(1), pp. 65–80
  • Type: Open access

Conclusion:

Dr. Maria Jesus Moreno-Dominguez embodies the qualities of an exemplary researcher through her profound academic career, impactful research on leadership, corporate governance, and knowledge management, and her dedication to academic mentorship. Her work contributes valuable insights to the understanding of how strategic leadership and human resources management drive efficiency and success in organizations. By expanding international collaborations and further increasing her publication reach, she could enhance her already impressive research profile. Overall, her achievements make her a deserving candidate for the Best Researcher Award in the field of Management.

 

Gokul Pandy | Robotics and AI | Best Researcher Award

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Mr. Gokul Pandy | Robotics and AI | Best Researcher Award

Application Development Manager at Accenture, United States

Summary:

Mr. Gokul Pandy is a dedicated and innovative IT professional with a comprehensive career at Accenture. His strategic mindset and hands-on expertise in application development, testing, and project management have positioned him as a leader in delivering high-quality solutions. Known for his ability to manage complex projects and lead cross-functional teams, Mr. Pandy’s work continues to impact the field through both practical application and contributions to industry standards.

Professional Profile:

👩‍🎓Education:

Mr. Gokul Pandy holds a robust academic foundation in software engineering and application development, which has been pivotal throughout his extensive career at Accenture.

🏢 Professional Experience:

Mr. Pandy has accumulated over 14 years of progressive experience in the IT sector, with a focus on application development, project management, and quality assurance. He currently serves as an Application Development Manager at Accenture, Richmond, where he has been leading a team of 35+ resources since December 2023. In this role, he has successfully steered complex projects, secured new contracts through successful project delivery, and contributed to the IEEE P3407 Working Group, shaping industry standards for testing.

Previously, as an Application Development Associate Manager (2019-2023), Mr. Pandy oversaw the full lifecycle of application development projects, managing onshore and offshore teams, ensuring on-time delivery, and maintaining client satisfaction. His tenure as a Test Engineering Specialist (2017-2019) and Senior Analyst (2014-2017) saw him implement innovative test automation frameworks, mentor junior engineers, and integrate testing processes within CI/CD pipelines to support continuous deployment.

Starting his career as an Associate Software Engineer (2010-2011) and progressing through roles as Test Engineering Analyst and beyond, Mr. Pandy demonstrated early expertise in developing and executing tests, managing defect tracking, and enhancing testing protocols to improve project outcomes.

Research & Industry Contributions:

Mr. Pandy’s technical acumen is exemplified by his active participation in industry standardization through the IEEE P3407 Working Group. His contributions have shaped the direction of application testing practices.

Skills & Core Competencies:

  • Technical Leadership & Project Management: Expertise in leading large-scale, cross-functional teams and ensuring projects are delivered within scope and budget.
  • Application Development: Full lifecycle management of application development with a strong track record in client management and contract negotiations.
  • Quality Assurance: Proven proficiency in test strategy development, automation frameworks, and defect resolution.
  • Risk Management: Conducting thorough risk assessments and developing mitigation strategies to maintain project timelines.
  • Mentorship & Team Development: Committed to developing talent, fostering a culture of continuous learning and collaboration.

Key Achievements:

  • Enhanced project efficiency by implementing goal-oriented team practices.
  • Spearheaded the integration of advanced quality assurance measures that improved software reliability.
  • Successfully delivered numerous high-stakes projects, securing ongoing client relationships and new contracts.

Top Noted Publication:

  • Reverse Engineering and Backdooring Router Firmwares
    Authors: A. Adithyan, K. Nagendran, R. Chethana, G. Pandy
    Conference: 2020 6th International Conference on Advanced Computing and Communication
    Summary: This paper examines the process of reverse engineering router firmware to identify security vulnerabilities and the subsequent backdoor insertion for penetration testing purposes. The authors outline the methodologies used for extracting firmware, the tools employed for reverse engineering, and the process of creating backdoors to test the robustness of network security. The research underscores the critical need for secure coding and firmware hardening in embedded systems.
    Citations: 12
  • Advancements in Robotics Process Automation: A Novel Model with Enhanced Empirical Validation and Theoretical Insights
    Authors: G. Pandy, V. Jayaram, M.S. Krishnappa, B.S. Ingole, K.K. Ganeeb, S. Joseph
    Preprint: arXiv (2024)
    Summary: This paper proposes an innovative model for enhancing Robotics Process Automation (RPA) through empirical validation and theoretical development. The study integrates machine learning to improve decision-making processes and workflow automation. Results from case studies and data analysis illustrate significant enhancements in operational efficiency and cost-effectiveness using the proposed framework.
    Citations: New publication, citations are pending.

Conclusion:

Mr. Gokul Pandy exemplifies a professional whose career embodies a blend of technical expertise, strategic leadership, and significant contributions to industry practices. His work with IEEE and successful project management at Accenture position him as a leader in Robotics and AI application development. To amplify his candidacy for prestigious research awards, expanding his body of peer-reviewed research and engaging more directly in AI and robotics-centric studies would be beneficial. Nevertheless, Mr. Pandy’s substantial industry contributions, leadership in advancing standards, and commitment to team development make him a commendable candidate for the Best Researcher Award.

 

Ahmed Awad | Control Engineering | Best Researcher Award

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Dr. Ahmed Awad | Control Engineering | Best Researcher Award

Senior Electrical Maintenance Engineer at SESCO TRANS Company, Egypt

Summary:

Dr. Ahmed Awad is an accomplished electrical and control systems engineer with a blend of academic achievements and practical engineering expertise. His work integrates advanced control system algorithms and IoT-driven solutions to enhance the operational efficiency of logistic equipment. Dr. Awad is committed to the seamless fusion of theoretical research and hands-on engineering practice, contributing to innovative advancements in industrial control technologies.

Professional Profile:

👩‍🎓Education:

Dr. Ahmed Awad has a robust academic foundation in Control Engineering. He completed his Bachelor’s degree at Banha University in 2013, graduating with honors and an impressive project on Building Automation Systems, where he led the team to achieve an “Excellent” grade. He proceeded to Mansoura University, obtaining a Preliminary Master’s degree with a grade of “Very Good” in 2014, followed by a Master’s degree in Computer & Automatic Control Engineering in 2018. Dr. Awad is currently registered for his Ph.D. at Mansoura University as of July 2020, continuing his pursuit of advanced research in his field.

🏢 Professional Experience:

With over eight years of extensive experience, Dr. Awad has served as a Senior Electrical Maintenance Engineer at Sesco Trans for Developed Logistics since May 2015. In this role, he has expertly managed the maintenance, troubleshooting, and repair of various logistics heavy equipment, including mobile harbor cranes, loaders, excavators, forklifts, and trucks. His work encompasses designing and maintaining control circuits, programming PLCs (Simatic S5/S7, LS Master K), and handling motor drives such as Siemens SIMOREG and Parker SSD drives. Dr. Awad’s proficiency extends to installing, commissioning, and repairing electronic circuit boards, as well as training new engineers in electrical concepts and maintaining foundational knowledge in hydraulics and mechanical systems.

Research Interests:

Dr. Awad’s research centers on enhancing automation and control systems with a focus on applying algorithms for performance optimization. He has a keen interest in integrating IoT frameworks and deep learning methodologies for monitoring and controlling industrial systems, particularly in the context of logistics and heavy equipment. His work also delves into algorithm-based motor control systems and quality control for logistics applications.

Author Metrics:

Dr. Awad’s publications have been recognized for their relevance in the engineering and computer science communities, contributing to discussions on motor control algorithms, IoT applications, and logistics automation solutions.

Top Noted Publication:

Enhancing Tracking Performance Parameters of Induction Motor Based on PI-PSO Algorithm

  • Authors: M. M. Abd-Elsalam, M. S. Elkasas, S. F. Saraya, A. H. Awad
  • Journal: International Journal of Scientific & Engineering Research
  • Year: 2017
  • Summary: This research investigates the performance improvement of induction motors using a Proportional-Integral (PI) controller optimized with a Particle Swarm Optimization (PSO) algorithm. The study addresses the limitations of conventional PI controllers and demonstrates how integrating PSO enhances the dynamic performance of induction motors, focusing on improved tracking parameters and reduced steady-state error.

IoT Based Framework for Monitoring and Controlling Movable Harbor Cranes

  • Authors: A. H. Awad, M. S. Saraya, M. S. M. Elksasy, Amr M. T. Ali-Eldin
  • Conference: 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), IEEE
  • Year: 2021
  • Summary: This paper presents an Internet of Things (IoT) framework designed for the real-time monitoring and control of movable harbor cranes. The system aims to enhance operational efficiency and reduce human intervention by utilizing IoT-based sensors and controllers. The proposed framework demonstrates improvements in data collection, crane performance, and remote control capabilities.

A Quality Control System for Logistic Ports Goods Movable Harbor Cranes Based on IoT and Deep Learning

  • Authors: A. H. Awad, M. S. Saraya, M. S. M. Elksasy, Amr M. T. Ali-Eldin, M. M. Abd-Elsalam
  • Journal: Indonesian Journal of Electrical Engineering and Computer Science
  • Year: 2024
  • Summary: This study develops a quality control system for logistics ports, focusing on the operation of movable harbor cranes. The system leverages IoT technology combined with deep learning algorithms to monitor and ensure the safe and efficient handling of goods. The approach enhances fault detection and predictive maintenance, contributing to a more reliable and automated port management system.

Conclusion:

Dr. Ahmed Awad’s unique combination of practical engineering expertise and applied research in control systems and IoT positions him as a strong candidate for the Best Researcher Award. His work on optimizing control algorithms and integrating deep learning for enhanced system performance demonstrates significant potential for continued contributions to the field. To maximize his impact, expanding his research collaborations and publication reach would further cement his status as a leader in control engineering. Overall, Dr. Awad exemplifies the qualities of a dedicated researcher who merges innovation with real-world engineering challenges.

 

Ramyaranjan Das | Polymer Composites | Best Researcher Award

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Mr. Ramyaranjan Das | Polymer Composites | Best Researcher Award

PhD Research Scholar at National Institute of Technology Rourkela, Rourkela, India

Summary:

A dedicated researcher in Experimental Condensed Matter Physics, Ramyaranjan Das has contributed significantly to the field of materials science, particularly in the area of polymer composites and nanotechnology. His research explores the macromolecular and structural characteristics of materials, aiming to improve the sustainability and functionality of fiber-reinforced composites for potential applications in printed circuit boards and engineering applications. Das is recognized for his innovative approach to material synthesis and characterization, utilizing advanced techniques to optimize the properties of natural fiber composites. He has presented his work at several national and international conferences, such as ASMI-2022 and ICSMEA-2024, where he also received the Best Paper Award. In addition to his research, Das is a life member of the Odisha Physical Society, the Indian Association of Physics Teachers, and the Plasma Science Society of India.

Professional Profile:

👩‍🎓Education:

Ramyaranjan Das is a Ph.D. scholar in Experimental Condensed Matter Physics at NIT Rourkela, where he conducts research under the guidance of Prof. Dillip Kumar Bisoyi. He began his academic journey with a B.Sc. in Physics Honours from Fakir Mohan University, Odisha, graduating with First Class and a 68.16% score. He then pursued an M.Sc. in Physics at Sambalpur University, Odisha, where he specialized in Condensed Matter Physics and attained First Class with a CGPA of 6.933. He qualified for the Graduate Aptitude Test in Engineering (GATE) in March 2020, which led him to his doctoral studies.

🏢 Professional Experience:

Das’s research career spans over three years in fields including small-angle X-ray scattering, material science, fiber-reinforced polymer composites, polymer physics, and nanotechnology. He joined NIT Rourkela as a Junior Research Fellow (JRF) in 2020 and was later promoted to Senior Research Fellow (SRF) in 2022. His responsibilities include serving as a Teaching Assistant, conducting experimental research, and authoring research articles and proposals. His technical skills are extensive, including hands-on expertise with material synthesis, characterization techniques such as X-ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), and Small-Angle X-ray Scattering (SAXS), as well as proficiency in data analysis software like Origin, ImageJ, and MS Office.

Research Interests:

  • Small-angle X-ray scattering and material characterization
  • Macromolecular structure evaluation
  • Development and analysis of natural fiber-reinforced polymer composites
  • Mechanical, thermal, and electrical properties of materials
  • Polymer physics and nanotechnology

Author Metrics:

Das has published multiple research articles in high-impact journals, contributing significantly to the fields of material science and polymer physics. Notable publications include studies on the effects of dewaxing and silane treatment on kapok fiber composites in journals such as Industrial Crops and Products and Journal of Applied Polymer Science. Additionally, he has contributed to research on cold plasma treatments for textile fibers and the effects of doping and annealing on the properties of vanadium pentoxide nanoparticles. His publications have been cited in prominent journals, and he serves as a reviewer for journals including Journal of Condensed Matter, Cellulose Journal, and Journal of Applied Polymer Science.

Top Noted Publication:

Investigation of Dielectric and Mechanical Properties of Pretreated Natural Sunn Hemp Fiber-Reinforced Composite in Correlation with Macromolecular Structure of the Fiber

  • Authors: C. Dash, R. Das, D.K. Sahu, D. Upreti, T.U. Patro, D.K. Bisoyi
  • Journal: Biomacromolecules
  • Volume: 24
  • Issue: 3
  • Pages: 1329-1344
  • Year: 2023
  • Citations: 5

Influence of Dewaxing on Mechanical Properties of Kapok Fiber-Reinforced Polymer Composite

  • Authors: R. Das, C. Dash, P. Behera, D.K. Bisoyi
  • Journal: IOP Conference Series: Earth and Environmental Science
  • Volume: 1086
  • Issue: 1
  • Article ID: 012054
  • Year: 2022
  • Citations: 5

Effect of Mo Doping in Vanadium Pentoxide (V₂O₅) for Dye Degradation

  • Authors: S. Sahoo, V. Jain, D.V. Shah, R. Das, A. Pathak
  • Journal: Journal of Crystal Growth
  • Volume: 627
  • Article ID: 127491
  • Year: 2024
  • Citations: 3

Effect of Loading of Kapok Fiber with Epoxy on Mechanical and Electrical Properties of Its Composites

  • Authors: R. Das, C. Dash, D.K. Bisoyi
  • Journal: Polymer Science, Series A
  • Volume: 66
  • Issue: 1
  • Pages: 103-112
  • Year: 2024
  • Citations: 2

Comprehensive Evaluation of the Mechanical and Electrical Properties of Dewaxed Kapok Fibre-Reinforced Polymer Composites for Potential Application in Printed Circuit Boards

  • Authors: R. Das, D.K. Bisoyi
  • Journal: Industrial Crops and Products
  • Volume: 222
  • Article ID: 119823
  • Year: 2024

Conclusion:

Mr. Ramyaranjan Das presents a well-rounded profile as a researcher dedicated to advancing polymer composite materials, with a notable emphasis on sustainability and functional applications. His research is timely and addresses pressing needs within materials science. His background, research productivity, and technical proficiency make him a suitable candidate for the Best Researcher Award. Strengthening his work through interdisciplinary collaboration and applied research efforts could further establish him as a leader in the field of sustainable materials science.

 

Rajesh | Biosensor | Best Researcher Award

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Dr. Rajesh | Biosensor | Best Researcher Award

Chief Scientist at NationalPhysical Laboratory, India

Summary:

Dr. Rajesh is a distinguished chemist with over two decades of experience in the fields of Material Science and Biomedical Metrology. His pioneering research on electroactive materials and bioactive nanomaterials has significantly contributed to advancements in diagnostic devices and medical metrology. With international research experience at renowned institutions like the University of Pennsylvania and the University of California, Riverside, Dr. Rajesh has been at the forefront of innovation in biomedical nanotechnology. His commitment to scientific excellence is demonstrated through his multiple fellowships, awards, and membership in esteemed scientific organizations.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Chemistry – University of Delhi, India (1998)
  • M.Sc. in Materials Chemistry – J.M. University, New Delhi (1994)
  • B.Sc. in Physics, Chemistry, and Mathematics – J.M. University, New Delhi (1991)

🏢 Professional Experience:

Dr. Rajesh is an accomplished researcher and academic specializing in Material Science and Biomedical Metrology. He has significant expertise in electroactive inorganic/organic materials, bioactive nanomaterials, electrochemistry, conducting polymers, and soft materials. His work is centered on applications of these materials in diagnostic devices such as electrochemical, optical, and field-effect transistor nanobiosensors. Additionally, he is well-versed in biomedical metrology, focusing on the development of medical device standards, testing, and calibration. Over his career, Dr. Rajesh has been recognized internationally through prestigious fellowships from ICMR, IUSSTF, and JSPS, allowing him to collaborate with leading institutions in the USA and Japan. His professional affiliations include memberships in key scientific societies and editorial roles in reputable journals.

Research Interests:

  • Material Science, with a focus on electroactive materials, bioactive nanomaterials, electrochemistry, conducting polymers, and soft materials.
  • Biomedical Metrology, emphasizing the development of standards, testing, and calibration for medical devices.
  • Nanobiosensors, specifically in the areas of electrochemical, optical, and field-effect transistor diagnostic devices for biomedical applications.

Honors and Awards:

  • ICMR International Fellowship for Young Biomedical Scientists (2014) – For advanced research on graphene field-effect transistor nano-devices at the University of Pennsylvania, USA.
  • IUSSTF Research Fellowship Award (2010) – For research on nanobiosensors at the University of California, Riverside, USA.
  • JSPS International Postdoctoral Fellowship Award (2002) – For research on conducting polymers at the Kyushu Institute of Technology, Japan.

Professional Affiliations:

  • Member, Materials Research Society of India (MRSI)
  • Elected Member, National Academy of Sciences, India (MNASc) – 2015
  • Member, Asia Pacific Metrology Program (APMP) Medical Device Metrology Focus Group – Since 2015
  • Editorial Board Member, Applied Biochemistry and Biotechnology (Springer) – 2014-2016
  • Editorial Board Member, Frontiers in Chemistry (Swiss Federal Institute of Technology, Lausanne) – 2016-2018

Author Metrics:

Dr. Rajesh has published extensively in high-impact journals within Material Science and Biomedical Metrology. His work on bioactive nanomaterials and conducting polymers for diagnostic devices is widely cited, contributing to advancements in both academic and industrial applications. His Google Scholar profile demonstrates his influence in the scientific community, with numerous citations and h-index reflecting his contributions to electrochemistry and nanobiosensors.

Top Noted Publication:

A label-free liquid-crystal-droplet based optical sensing platform for the detection of Neisseria gonorrhoeae

  • Authors: R. Kumar, G. Sumanaa, S. Sood, S. S. Pandey, H. Tanaka, and Rajesh*
  • Journal: Journal of Molecular Liquids
  • Publisher: Elsevier
  • Impact Factor: 5.3
  • Status: Accepted, in press (2024)
  • Summary: This research introduces a cutting-edge optical sensing platform utilizing liquid-crystal droplets for label-free detection of the Neisseria gonorrhoeae bacterium, potentially improving diagnostic applications in clinical microbiology.

Smectic layer reorientation by surface mode in surface-stabilized ferroelectric liquid crystal

  • Authors: N. Yadav, D. Goel, A. K. Yadav, A. Choudhary, Rajesh, A. M. Biradar, S. P. Singh
  • Journal: Applied Physics A: Materials Sciences & Processing
  • Publisher: Springer
  • Volume: 130
  • Year: 2024
  • Page: 804
  • Summary: This study explores the reorientation mechanisms of smectic layers in ferroelectric liquid crystals through surface modes. The findings are valuable for enhancing alignment control in liquid crystal displays and photonics.

Domain reorientation due to smectic layer instability in high tilt angle-based surface-stabilized ferroelectric liquid crystal cell

  • Authors: N. Yadav, S. Kumar, A. Choudhary, A. K. Thakur, Rajesh, S. P. Singh, A. M. Biradar
  • Journal: Journal of Applied Physics
  • Publisher: AIP
  • Volume: 135
  • Year: 2024
  • Page: 154701
  • Summary: Investigating domain reorientation in ferroelectric liquid crystals, this paper focuses on instability within smectic layers at high tilt angles, with implications for the stability of liquid crystal devices in various technological applications.

Nanozymes: A comprehensive review on emerging applications in cancer diagnosis and therapeutics

  • Authors: A. Deshwal, K. Saxena, G. Sharma, Rajesh, F.A. Sheikh, C. S. Seth, R. M. Tripathi
  • Journal: International Journal of Biological Macromolecules
  • Publisher: Elsevier
  • Impact Factor: 7.7
  • Volume: 256
  • Year: 2024
  • Page: 128272
  • Summary: This comprehensive review covers the application of nanozymes in oncology, emphasizing their diagnostic and therapeutic potential, which highlights nanozymes as transformative agents in cancer treatment strategies.

Liquid crystal-assisted optical DNA biosensor for the selective detection of bacterium Neisseria gonorrhoeae

  • Authors: Rohit Kumar, Gajjala Sumana, Amit Choudhary, Seema Sood, Rajesh*
  • Journal: Liquid Crystals
  • Publisher: Taylor & Francis
  • Volume: 51
  • Year: 2024
  • Pages: 857-867
  • Summary: This paper describes a liquid crystal-based DNA biosensor developed for the selective detection of Neisseria gonorrhoeae, providing a robust and precise diagnostic method aimed at improving pathogen detection in medical diagnostics.

Conclusion:

Dr. Rajesh is a highly qualified candidate for the Best Researcher Award, with substantial contributions to material science and biosensor development. His research is both innovative and impactful, with potential applications across multiple fields. Although expanding the practical applications of his work and emphasizing technology transfer could further strengthen his profile, his current achievements make him a strong and deserving candidate for this recognition.