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

Khubaib Ahmed Qureshi | Machine Learning | Member

Khubaib Ahmed Qureshi | Machine Learning | Member

Dr Khubaib Ahmed Qureshi Institute of Business Management, Pakistan

Dr Khubaib Ahmed Qureshi received his PhD degree from DHA Suffa University. He worked with Twitter as a research partner. He is affiliated with the Department of Computer Science, IoBM, as an Assistant Professor. He served DHA Suffa University for 10 years and was also the Head of the Data Science Program. He was the Head of the Computer Science Department, HIMS, Hamdard University, Karachi. He has 24 years of comprehensive research and teaching experience, continuing research in the area of computer science named data science, complex networks, and social computing. He has authored several research articles along with chapters in different books.

Education:

He holds a Ph.D. in Data Science from DHA Suffa University, where he conducted research on “Automatic Credibility Assessment of Information over Social Networks,” achieving a commendable CGPA of 3.89. Prior to his doctoral studies, he earned an M. Phill in Data Engineering from SZABIST, securing the top position with a remarkable CGPA of 3.75. His academic journey includes a Master’s in Computer Science (M.C.S) specializing in Software Engineering from SZABIST, where he was recognized as a scholarship holder and awarded the gold medal for his outstanding performance, attaining a CGPA of 3.9. He also holds a Bachelor’s in Computer Science (B.C.S) from Petroman (SALU), where he excelled with a percentage of 76.94%. His educational foundation began with a Higher Secondary Certificate (HSC) in Pre-Engineering and a Secondary School Certificate (SSC) in Science from Karachi Board in 1993 and 1991, respectively.

Experience:

He is an Assistant Professor in the Computer Science Department, where he teaches a diverse range of subjects to undergraduate students, including Data Science, Social Network Analysis (SNA), Machine Learning (ML), Information Retrieval (IR), Database Management (DB), Operating Systems (OS), Information Technology and Communication (ITC), Enterprise Resource Planning (ERP), Management Information Systems (MIS), Software Engineering (SE), and Programming Fundamentals, among others. Additionally, he serves as a Technology Consultant for Corbit Solutions, a technology solution provider, offering his expertise in various technological domains. Moreover, he holds the role of Technical Advisor at DAW Medical University, where he advises on the Digital Research Library Project. Prior to his current positions, he served as the Head of the IT Department and Associate Professor at Hamdard University’s Hamdard Institute of Management Sciences (HIMS) from December 1999 to August 2013. During his tenure at HIMS, he taught subjects like Customer Relationship Management (CRM), Supply Chain Management (SCM), Enterprise Resource Planning (ERP) with Oracle Financials, Business Intelligence, Visual Basic (V.B), Relational Database Management Systems (RDBMS), Oracle/Developer, System Analysis and Design (SAD), Management Information Systems (MIS), Microsoft Access (MS Access), Decision Support Systems (DSS), Management Support Systems (MSS), Information Technology in Business, and Operating Systems (OS) to MBA/BBA students, while also providing various services to the institute.

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