Vijaya G | Computer Science | Women Researcher Award

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Dr. Vijaya G | Computer Science | Women Researcher Award

Dr. Vijaya G, Sri Krishna College of Engineering and Technology, Coimbatore, India

Dr. G. Vijaya is an accomplished educator, researcher, and administrator with over 18 years of experience in academia and operations management. Currently a Professor at Sri Krishna College of Engineering and Technology, she has previously held leadership roles, including Principal In-Charge and Head of Department. Her expertise spans curriculum development, faculty training, research supervision, and program implementation. She has been instrumental in introducing innovative courses, securing research funding, and mentoring students in cutting-edge areas like Artificial Intelligence, Machine Learning, and Cybersecurity. With multiple certifications, including Fortinet Certified Associate in Cybersecurity and NPTEL mentorship, she has made a significant impact on student learning and institutional growth. Dr. Vijaya has been recognized with several awards, including the Honorary Doctorate (D.Litt.) from the University of South America and the IEAE Young Achiever Award. Her dedication to research and education has positioned her as a leader in Computer Science and Engineering.

Professional Profile

Google Scholar

Summary of Suitability for the Research for Women Researcher Award

Dr. G. Vijaya M.E. Ph.D. stands out as a highly qualified and accomplished educator with over 18 years of experience across multiple domains, including administration, operations management, teaching, curriculum development, and research. Her extensive academic and professional journey has consistently focused on empowering students, particularly women, and making significant contributions to the educational landscape.

Dr. Vijaya has been deeply involved in initiatives that promote the advancement of women in engineering and technology. As the Principal In-Charge at Bapatla Women’s Engineering College and later as a professor at Sri Krishna College of Engineering and Technology, she has taken leadership roles that directly impact female students. She has been instrumental in spearheading projects that aim to enhance the skill sets of women, such as the Pradhan Mantri Kaushal Vikas Yojana, which focuses on rural self-employment, and the various Faculty Development Programs she has initiated.

🎓 Education

Dr. G. Vijaya holds a Doctorate (Ph.D.) in Computer Science and Engineering from Annamalai University, specializing in Artificial Intelligence and Machine Learning applications. Her Master’s degree (M.E.) in Computer Science has provided her with a strong foundation in software development, data structures, and emerging technologies. She completed her Bachelor’s degree in Computer Science and Engineering, excelling in her academic pursuits and demonstrating a passion for research from an early stage. Throughout her educational journey, she has been an active participant in technical workshops, conferences, and training programs. She has also completed various certifications, including NPTEL courses in Python for Data Science and Soft Skills Development. Her academic background has enabled her to bridge the gap between theoretical knowledge and real-world applications, allowing her to develop innovative solutions and contribute to cutting-edge research in Artificial Intelligence, Cybersecurity, and Computational Biology.

💼 Professional Experience 

Dr. G. Vijaya has an extensive career in academia, spanning multiple prestigious institutions. She started as an Assistant Professor at Kalasalingam University and later progressed to Associate Professor at Bapatla Women’s Engineering College. She has served as Principal In-Charge, overseeing institutional development, faculty training, and curriculum enhancement. Currently a Professor at Sri Krishna College of Engineering and Technology, she is actively involved in mentoring students, leading research initiatives, and implementing AI-driven educational advancements. Her expertise includes academic administration, accreditation coordination (NBA, NAAC), and research proposal development. She has successfully secured government funding for AICTE-sponsored projects, focusing on ethical AI and smart technology applications. Additionally, she has played a key role in increasing departmental pass percentages and establishing industry-academic collaborations. With a passion for leadership, she has served as a Board of Studies (BoS) member, IEEE Coordinator, and Department Advisory Committee (DAC) Coordinator.

🏅 Awards and Recognition

Dr. G. Vijaya’s contributions to academia and research have been widely recognized. She was awarded an Honorary Doctorate (D.Litt.) from the University of South America for her exceptional work in Computer Science. She also received the IEAE Young Achiever Award for her research excellence. She has been certified as a Fortinet Certified Associate in Cybersecurity and recognized as a mentor for the IEEE Sustainable Solution for Humanity 2024. Her book, Futuristic Trends in Computing Technologies and Data Sciences, has been published by Iterative International Publishers. She has received multiple Certificates of Appreciation for achieving outstanding student results in AI and Machine Learning courses. Additionally, she secured research funding from AICTE, CSIR, and TNSCST for projects on AI ethics and smart agriculture. Her dedication to education, leadership in accreditation processes, and mentorship in research have made her a distinguished figure in Computer Science.

🌍 Research Skills On Computer Science

Dr. G. Vijaya specializes in Artificial Intelligence, Machine Learning, Deep Learning, and Cybersecurity. She has extensive experience in AI-driven predictive analytics, ethical AI integration, and IoT-enabled smart solutions. Her research contributions extend to Computational Biology, Natural Language Processing, and Blockchain for secure computing. She has successfully guided research projects in AI ethics, data security, and cloud computing. She has authored high-impact research papers and collaborated with industry experts on AI applications. As a Board of Studies (BoS) member, she has helped shape Computer Science curricula to incorporate cutting-edge technologies. She has mentored students in AI-based problem-solving competitions and secured research grants for AICTE-sponsored projects. Her ability to integrate AI methodologies with real-world applications has positioned her as a leading researcher in the field. She continues to contribute to emerging trends in AI governance, cybersecurity, and data-driven decision-making.

📖 Publication Top Notes

  1. Optimization and analysis of microwave-assisted extraction of bioactive compounds from Mimosa pudica L. using RSM & ANFIS modeling

    • Authors: V. Ganesan, V. Gurumani, S. Kunjiappan, T. Panneerselvam, …
    • Citations: 43
    • Year: 2018

  2. An adaptive preprocessing of lung CT images with various filters for better enhancement

    • Authors: G. Vijaya, A. Suhasini
    • Citations: 36
    • Year: 2014

  3. A novel noise reduction method using double bilateral filtering

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 17
    • Year: 2010

  4. Automatic detection of lung cancer in CT images

    • Authors: G. Vijaya, A. Suhasini, R. Priya
    • Citations: 15
    • Year: 2014

  5. Drivers Drowsiness Detection using Image Processing and I-Ear Techniques

    • Authors: S. Ananthi, R. Sathya, K. Vaidehi, G. Vijaya
    • Citations: 13
    • Year: 2023

  6. A simple algorithm for image denoising based on ms segmentation

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 13
    • Year: 2010

  7. Bilateral filtering using modified fuzzy clustering for image denoising

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 9
    • Year: 2010

  8. Image Denoising based on Soft Computing Techniques

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 4
    • Year: 2011

  9. A review analysis of attack detection using various methodologies in network security

    • Authors: P. R. Kanna, S. Gokulraj, K. Karthik, G. Vijaya, G. S. Kumar, G. Rajeshkumar
    • Citations: 3
    • Year: 2022

  10. Deep learning-based computer-aided diagnosis system

  • Authors: G. Vijaya
  • Citations: 2
  • Year: 2022

Tariq Jamil | Machine Learning Award | Best Researcher Award

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Mr. Tariq Jamil | Machine Learning Award | Best Researcher Award

Lead multilingual education at TensorDot Solutions, Pakistan🎓

Mr. Tariq Jamil is an accomplished AI/ML engineer and data scientist with a rich background in both academia and industry. His expertise spans a wide range of AI and machine learning domains, including deep learning, natural language processing, computer vision, and large language models. With a career marked by successful project management, innovative AI applications, and educational contributions, Mr. Jamil has consistently demonstrated his capacity for leadership and technical excellence. His experience as a project leader in various AI challenges and his role in training the next generation of AI professionals highlight his commitment to advancing the field.

Professional Profile 

🎓Education

Mr. Tariq Jamil holds a Post-Graduate Diploma in Data Science with Artificial Intelligence from NED University of Engineering and Technology, Pakistan, completed between December 2021 and June 2023. His coursework included an in-depth study of Python, data visualization, machine learning, deep learning, and computer vision. His capstone project involved the development of a chatbot using deep learning, specifically fine-tuning the Falcon large language model for customer service applications. Prior to this, Mr. Jamil earned a Bachelor of Engineering in Aviation Electronics with a specialization in Aerospace Technology from the same institution, graduating in December 1991. His academic foundation in digital electronics, communications, and quality systems, combined with his later specialization in AI, has provided him with a strong interdisciplinary background, enabling him to excel in both the engineering and data science fields.

💼Work Experience

Mr. Tariq Jamil has amassed a diverse and impactful work experience that spans multiple domains in the fields of AI, machine learning, and data science. Since January 2021, he has been working as a freelance AI/ML Engineer and Data Scientist in Karachi, Pakistan. In this role, Mr. Jamil has successfully managed multiple customer projects on platforms like Upwork and Freelancer.com, as well as with private clients. His work has involved a comprehensive range of AI technologies, including computer vision, video action detection, deep learning, natural language processing, and large language models. Notably, he contributed to the success of a pioneering marketing startup, True Insights, and developed advanced AI models for video crime scene detection and sign language recognition. In addition to his freelance work, Mr. Jamil served as an AI Trainer at NED University in Karachi from October 2023 to March 2024. He designed and taught graduate-level courses in Artificial Intelligence, focusing on deep learning, LLMs, Python, and computer vision. His teaching played a pivotal role in shaping the university’s Post Graduate Diploma program in Generative AI and the “DS & AI” program, where he taught classes on foundational and advanced AI concepts. Furthermore, Mr. Jamil has been an active contributor to Omdena, a global AI community, since July 2023. As the Chapter Lead for the UAE division, he led several innovative AI projects, including the development of a voice-enabled chatbot for Abu Dhabi Open Data Intelligence and an AI application for liver cancer histopathology detection. His role involved coordinating teams of data scientists and overseeing the technical execution of these projects, which led to significant advancements in AI applications for healthcare and data analytics.

🔍Research Focus 

Mr. Tariq Jamil’s research focus lies at the intersection of artificial intelligence (AI), machine learning (ML), and their practical applications across various domains. His work encompasses deep learning, natural language processing (NLP), computer vision, and large language models (LLMs), with a particular emphasis on developing AI solutions for real-world challenges. He has applied his expertise in projects ranging from video action detection and anomaly detection to chatbot development and healthcare diagnostics, such as histopathology and cervical cytology detection.

Mr. Jamil’s research is characterized by a commitment to innovation and impact. He has led projects that harness cutting-edge AI technologies, such as Transformers, YOLO, and OpenCV, to create applications that enhance automation, accuracy, and efficiency in fields like healthcare, security, and transportation. His work in fine-tuning LLMs for specific tasks, such as customer support and legal document processing, highlights his ability to customize AI models to meet the unique needs of different industries.

🏆Awards and Honors

Mr. Tariq Jamil has been recognized for his outstanding contributions to the fields of artificial intelligence and machine learning through various awards and honors. His leadership and innovation in AI, particularly in areas such as deep learning, natural language processing, and computer vision, have earned him accolades from both academic and professional communities. He has been acknowledged for his exceptional project management skills, notably in AI challenges that addressed critical real-world problems like healthcare diagnostics, vehicle inspection, and road safety.

In addition to his technical achievements, Mr. Jamil’s dedication to education has been celebrated, with honors highlighting his impactful teaching and mentoring roles at NED University. His efforts in training the next generation of AI professionals and his involvement in pioneering AI projects have further solidified his reputation as a leading expert in his field. These recognitions serve as a testament to Mr. Jamil’s commitment to excellence and his significant contributions to advancing the frontiers of AI technology.

Conclusion

Based on Mr. Tariq Jamil’s extensive experience, leadership in AI innovation, and dedication to education, he is a strong candidate for the Best Researcher Award. His ability to apply AI solutions to real-world problems, coupled with his commitment to advancing AI education, makes him a valuable asset to the AI community. With continued focus on publishing and expanding his professional network, Mr. Jamil could further elevate his contributions to the field, making him a highly deserving recipient of this award.

📖Publications : 

  1. Publication: “Fluid Coupled Structural Analysis and Optimization of Expanded Polystyrene-Fiber-Reinforced Composite Wing of an Unmanned Aerial Vehicle”
    • Authors: Jamil, T.; Iqbal, A.; Allauddin, U.; Saleem, S.; Ikhlaq, M.
    • Year: 2024
    • Journal: Mechanics of Composite Materials
    • Citations: 0
  2. Publication: “Effect of Glass Powder on the Compressive Strength and Drying Shrinkage Behavior of OPC- and LC3-50-Based Cementitious Composites of Various Strengths”
    • Authors: Ayub, T.; Jamil, T.; Ayub, A.; Mehmood, E.; Sheikh, M.D.
    • Year: 2024
    • Journal: Advances in Materials Science and Engineering
    • Citations: 0
  3. Publication: “Mechanical and Durability Properties of High-Strength Limestone Calcined Clay Cement (LC3) Concrete Containing Waste Glass Powder”
    • Authors: Ayub, A.; Ayub, T.; Jamil, T.; Khan, A.-U.-R.
    • Year: 2023
    • Journal: Iranian Journal of Science and Technology – Transactions of Civil Engineering
    • Citations: 2
  4. Publication: “Electromechanical characterizations of PEDOT

    and its nanocomposite thin films on a cost-effective polymer substrate for microelectromechanical systems (MEMS) applications”

    • Authors: Khan, S.T.; Mehdi, M.; Jamil, T.
    • Year: 2023
    • Journal: Express Polymer Letters
    • Citations: 1
  5. Publication: “Sustainable cementitious material with ultra-high content partially calcined limestone-calcined clay”
    • Authors: Qian, X.; Ruan, Y.; Jamil, T.; Hu, S.; Liu, Y.
    • Year: 2023
    • Journal: Construction and Building Materials
    • Citations: 13
  6. Publication: “Investigating the crumpling effect in honeycomb sandwich panels under bending loads using FEA technique”
    • Authors: Saqib, N.; Jamil, T.; Zai, B.A.
    • Year: 2023
    • Journal: Aeronautical Journal
    • Citations: 0
  7. Publication: “HEAT-TRANSFER ENHANCEMENT OF A SOLAR PARABOLIC TROUGH COLLECTOR USING TURBULATORS AND NANOPARTICLES: A NUMERICAL STUDY”
    • Authors: Allauddin, U.; Ikhlaq, M.; Jamil, T.; Mustafa, H.; Azeem, M.H.
    • Year: 2023
    • Journal: Journal of Enhanced Heat Transfer
    • Citations: 1
  8. Publication: “Comparative Study on LC3-50 with OPC Concrete Using Raw Materials from Pakistan”
    • Authors: Sheikh, M.D.; Jamil, T.; Ayub, T.; Bilal, S.M.; Hu, C.
    • Year: 2023
    • Journal: Advances in Materials Science and Engineering
    • Citations: 2
  9. Publication: “Numerical simulation and validation of MWCNT-CFRP hybrid composite structure in lightweight satellite design”
    • Authors: Iqbal, S.; Jamil, T.; Murtuza Mehdi, S.
    • Year: 2023
    • Journal: Composite Structures
    • Citations: 9
  10. Publication: “Virtual Captive Model tests for Maneuvering Prediction”
    • Authors: Khan, O.U.; Mansoor, A.; Zai, B.A.; Hussain, M.; Jamil, T.
    • Year: 2022
    • Journal: Journal of Maritime Research
    • Citations: 1