Ayasha Malik | AI | Best Researcher Award

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Ms. Ayasha Malik | AI | Best Researcher Award

Assistant Professor at GL Bajaj Institute of Management and Research, Greater Noida, India.

A committed educator and researcher, Dr. Ayasha Malik specializes in Machine Learning and Information Security. With her expertise in artificial intelligence applications, she has made significant contributions to both teaching and research. Over the years, she has mentored students, published research in esteemed journals, and collaborated on projects focusing on AI-based cybersecurity solutions.

Her work aims to bridge theoretical advancements with real-world applications, making significant strides in secure AI technologies and human-computer interaction models.

Publication Profile

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Educational Details

Dr. Ayasha Malik holds a Ph.D. in Machine Learning from the School of Computer Science and Engineering, Sharda University (2021). She completed her M.Tech. in Information Security (2019) at the Ambedkar Institute of Advanced Communication Technologies and Research, Guru Gobind Singh Indraprastha University (NSIT), securing a CGPA of 8.65. Her B.Tech. in Computer Science & Engineering (2017) was awarded by Raj Kumar Goel Institute of Technology and Management, APJ Abdul Kalam Technical University, Lucknow, with a 71.68% score.

Dr. Malik completed her HSC (2013) in the Science stream from P.C School (CBSE) with 62.20% and her SSC (2011) from P.C Institute (CBSE) with a CGPA of 8.2.

Professional Experience

Dr. Malik has a strong academic background with over four years of teaching and research experience in reputed institutions:

  • GL Bajaj Institute of Management and Research, AKTU – Assistant Professor (Feb 2025–Present)
  • IIMT College of Engineering, AKTU – Assistant Professor (August 2023–Feb 2025)
  • Delhi Technical Campus (DTC), GGSIPU – Assistant Professor (Sept 2022–Aug 2023)
  • Noida Institute of Engineering and Technology (NIET), AKTU – Assistant Professor (Jan 2021–Aug 2022)
  • IEC Group of Institutions (IECGI), AKTU – Assistant Professor (Aug 2019–Nov 2020)
  • INMANTEC Institute, AKTU – Assistant Professor (Jan 2019–July 2019)

Research Interest

Dr. Malik’s research focuses on Machine Learning, Artificial Intelligence, and Information Security, with an emphasis on:

  • Deep learning applications in cybersecurity
  • Speech and image recognition models
  • AI-driven data privacy solutions
  • Human-computer interaction in intelligent systems

She is particularly interested in developing machine learning algorithms for secure computing environments, aiming to integrate AI into cybersecurity frameworks to enhance digital protection.

Author Metrics

Dr. Malik has contributed to several international journal publications and conferences, particularly in speech emotion recognition, AI-based security systems, and machine learning for cybersecurity. Her research has been cited in prominent academic circles, reinforcing her impact in the fields of artificial intelligence and information security.

Top Noted Publication

Conference Paper: Harnessing Data Mining for Improved Hindi Isolated Speech Recognition

Authors: Ayasha Malik, Veena Parihar, Shrikant A. Mapari, Malathy Sathyamoorthy, Shilpa Saini
Publication Type: Conference Paper
Citations: 0
Abstract:
This research explores the application of data mining techniques to enhance Hindi isolated speech recognition. The study leverages machine learning models to improve accuracy and efficiency in recognizing isolated words in the Hindi language. The work focuses on feature extraction, classification, and the impact of data mining methodologies on speech processing. The findings contribute to the development of intelligent speech interfaces for Hindi language users in human-computer interaction systems.

Book Chapter: Harnessing the Power of Artificial Intelligence in Software Engineering for the Design and Optimization of Cyber-Physical Systems

Authors: Shubham Tiwari, Ayasha Malik
Publication Type: Book Chapter
Citations: Not available
Abstract:
This book chapter examines how Artificial Intelligence (AI) is revolutionizing software engineering in the design and optimization of Cyber-Physical Systems (CPS). The chapter highlights AI-driven methodologies, including machine learning, deep learning, and reinforcement learning, to enhance CPS performance and security. It discusses AI-based automation, fault detection, and predictive analytics, offering insights into next-generation smart systems that integrate computational intelligence with physical infrastructure.

Conclusion

Dr. Ayasha Malik is a highly qualified researcher with strong expertise in machine learning, AI security, and human-computer interaction. Her academic background, publications, and teaching contributions make her a strong candidate for the Best Researcher Award.

To further solidify her standing, she can increase citations, enhance industry collaborations, and gain more international research exposure. With these improvements, she could be a leading AI researcher in cybersecurity and intelligent systems.

Gokul Pandy | Robotics and AI | Best Researcher Award

Posted on by Best Paper Award

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.