Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

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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

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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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Publications:

  1. Explainable tweet credibility ranker: A comprehensive credibility solution Published By : 2023

  2. Deception detection on social media: A source-based perspective Cited By : 5, Published By : 2022

  3. A Knowledge Graph-Based Framework for Integrated Network-Centric Warfare Strategies for Cyber-Physical-Social World Published By : 2022

  4. Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter Cited By : 17, Published By : 2021

  5. Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation Cited By : 9, Published By : 2021

  6. Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text Cited By : 28, Published By : 2021

  7. Mobile database computing performance related issues and recommendations with adoptable object oriented model of mobile database management system Published By : 2011

 

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

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Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naïve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

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Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Shaeela Ayesha | Machine Learning | Member

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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