Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Mr Dondapati Rajendra Dev Vignan’s Institute of Engineering for Women, India

He has been serving as an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018. In his current role, he thrives in an innovative and challenging environment, where he continually enhances his skills and knowledge. With a dedication to growth and development, he actively contributes to the educational journey of his students while also seeking opportunities for personal and professional advancement. His commitment to excellence and passion for teaching make him a valued member of the academic community, where he aims to inspire and empower the next generation of engineers.

Education:

He is currently pursuing a Ph.D. in Image Processing at Annamalai University, having enrolled on December 10, 2019. Prior to this, he completed his M.Tech in Software Engineering from GITAM Institute of Technology in 2014, achieving a commendable first-class with a grade of 81.4%. His academic journey began with a Bachelor’s degree in Computer Science Engineering from Sri Sivani College of Engineering in 2010, where he also secured a first-class with a percentage of 65.24%. Before his undergraduate studies, he successfully completed his Intermediate education in Mathematics, Physics, and Chemistry from Sri Chaitanya College in 2006, again obtaining a first-class with a percentage of 82.50%. His academic excellence traces back to his schooling at Little J.K Public School, where he completed his SSC with distinction, securing a first-class with a grade of 78.0% in 2004. Throughout his educational endeavors, he has demonstrated a strong commitment to excellence and a thirst for knowledge.

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Experience:

He has been an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018, bringing with him a wealth of experience and expertise. Prior to his current position, he served as an Assistant Professor at Sanketika Institute of Technology and Management from July 26th, 2017, to September 4th, 2018, where he honed his teaching skills and contributed to the academic community. Before that, he held a similar role at Sri Sivani College of Engineering from October 10th, 2014, to May 31st, 2017, where he played a key role in shaping the educational experience of his students. Additionally, he gained valuable industry experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD (DILSUKHNAGAR, HYDERABAD) from September 2010 to May 2012, where he developed his technical skills and understanding of software engineering principles. Throughout his career, he has demonstrated a strong commitment to education and professional growth, continuously seeking new opportunities to enhance his knowledge and skills.

Workshops:

He has actively participated in various national and international workshops and webinars, showcasing his dedication to staying updated with advancements in his field. In April 2021, he attended a National Webinar on Applications of Artificial Intelligence-Across Industry Domains by Vignan’s Foundation for Science, Technology and Research in Guntur. Following this, in May 2021, he participated in a National Webinar on Methods and Techniques for Privacy Preserving in Blockchain. In June 2021, he attended another national webinar on Rough Set Theory and Its Applications. Continuing his pursuit of knowledge, he joined a National Webinar on Research Challenges on Internet of Things in July 2021. In August 2020, he engaged in an International Workshop on Deep Learning conducted by BITS Pilani Hyderabad campus. Additionally, he enriched his skills by attending workshops on Latex-A Scientific Documenting Tool and Data Analytics using Excel conducted in May and 2020, respectively. These experiences reflect his commitment to continuous learning and professional development in the fields of technology and research.

Publications:

  1. Uncertainty determination and reduction through novel approach for industrial IOT Published By : 2024

Shaeela Ayesha | Machine Learning | Member

Shaeela Ayesha | Machine Learning | Member

Shaeela Ayesha Government College University Faisalabad, Pakistan

Dr. Shaeela Ayesha has passed her M.Sc and MS Computer Science from University of Agriculture, Faisalabad. She completed her PHD Computer Science from Government College University, Faisalabad. She has several publications in different journals. She also published two book chapters with renowned publishers. Based on Scopus Preview two of her best from publications have been nominated for this event. At present, she is working as a reviewer with many well reputed high impact factor journals. Her research interests include: Machine Learning, Pattern Recognition, Big Data Analytics, Data and Text Mining, Data and Information Fusion, and Health Informatics.

Education:

She completed her early education with distinction, graduating from the Metric Arts Group in Faisalabad Board in 2001. Continuing her academic journey, she pursued intermediate studies in Economics, Physical Education, and Arabic, achieving further excellence from the Faisalabad Board in 2003. Subsequently, she obtained her Bachelor’s degree in Economics, Computer Science, and Arabic (Optional) from the University of Punjab, Lahore, in 2005. Building upon her undergraduate studies, she earned a Master of Science in Computer Science (CS) from the University of Agriculture, Faisalabad, in 2007, specializing in Database Management System. Further advancing her expertise, she completed her M.S. in Computer Science with a specialization in Database Management System from the same university in 2010. Undeterred in her pursuit of knowledge, she attained her Ph.D. in Computer Science from Govt. College University, Faisalabad, graduating with top honors in 2022. Throughout her academic journey, she has consistently demonstrated dedication and excellence in her field of study.

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Experience:

She served as a Lecturer in Computer Science at Government College (W) Kharkhan Bazzar Faisalabad from September 15, 2007, to April 15, 2008. Since September 12, 2009, she has been working as an SST (Secondary School Teacher) in Computer Science at Government High School 103/RB, Faisalabad, continuing her dedication to education and fostering the learning of computer science among students.

Awards and Honors:

She was awarded a laptop through the Shahbaz Sharif Youth Initiative Program, a commendable recognition of her achievements and contributions. This program, initiated by Shahbaz Sharif, aims to empower the youth by providing them with essential tools and resources to excel in their academic and professional endeavors. The laptop award serves as a testament to her hard work, dedication, and potential, acknowledging her as a promising individual deserving of support and encouragement. With this laptop, she is equipped to further her education, pursue her goals, and make meaningful contributions to society. It reflects her commitment to personal and academic growth, as well as her determination to utilize technology for positive impact. This recognition underscores her value as a motivated and capable individual, poised to make a difference in her community and beyond.

Publications:

  1. Performance Enhancement of Predictive Analytics for Health Informatics Using Dimensionality Reduction Techniques and Fusion Frameworks Published By : 2021
  2. Overview and comparative study of dimensionality reduction techniques for high dimensional data Published By : 2021
  3. Text mining: techniques, applications and issues  Published By : 2021
  4. A multi-agent framework for data extraction, transformation and loading in data warehouse Published By : 2016
  5. Impact and Usage of Internet in Educational Community in Pakistan  Published By : 2010
  6. Data mining model for higher education system Published By : 2010

 

Suhad Abdallah | Statistics | Women Researcher Award

Suhad Abdallah | Statistics | Women Researcher Award

Assist Prof Dr Suhad Abdallah King Khalid University, Saudi Arabia

With a Ph.D. earned in 2016 from Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade, she has demonstrated a strong academic foundation. Currently affiliated with King Khalid University, she has been involved in quantitative research methods, particularly focusing on applied statistics in media and communication during her tenure at Tabouk University from 1435 to 1436. Her dedication to statistical research underscores her commitment to contributing to the advancement of knowledge in her field.

Education:

She completed her Ph.D. in 2016 at Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade. Prior to that, she earned a Master’s degree in applied statistics from Nile Valley University – Faculty of Graduate Studies in 2011. Her academic journey began with a Bachelor’s degree in Mathematics/Physics from Nile Valley University, Faculty of Science and Education, in 2004. With a solid foundation in mathematics and statistics, she is dedicated to advancing knowledge in her field through rigorous research and academic pursuits.

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Experience:

She has been actively engaged in teaching roles across various Saudi universities. From 1437 until the present, she has been contributing her expertise to King Khalid University. Prior to that, she taught at Tabouk University from 1435 to 1436, Najran University from 1434 to 1435, Hael University from 1433 to 1434, and Shaqra University from 1432 to 1433. Her extensive experience in academia demonstrates her commitment to education and her versatility in adapting to different academic environments.

Publications:

  1. Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa2Cu3O7/dielectric material as a 1D defective photonic crystal Published By : 2023

  2. MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect Published By : 2023

  3. Unravelling the conductivity behaviour of thermally stable Li2O– Bi2O3–B2O3–P2O5 glasses embedded with V2O Published By : 2023

  4. Enhanced humidity sensing stability of Dy3+-doped Mg-Rb ferrites for room temperature operatable humidity sensor applications Published By : 2023

  5. First-principles calculations to investigate structural, electronic and magnetic anisotropy energy of ZnFe2O4 spinel ferrite for spintronics applications Published By : 2023

  6. NLO and white light emission in AuNPs reinforced Li2O–Bi2O3–B2O3–P2O5 glasses: Role of surface plasmonic resonance AuNPs Published By : 2023

  7. On new diverse variety analytical optical soliton solutions to the perturbed nonlinear Schrödinger equation Published By : 2023