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.

🌐 Profile Links:

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

 

Rajesh Saturi | Social Media Sentiment Analysis | Best Researcher Award

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Rajesh Saturi | Social Media Sentiment Analysis | Best Researcher Award

Dr Rajesh Saturi Vignana Bharathi institute of technology, India

During his tenure, he expertly conducted classes on a diverse range of subjects, including Introduction to Data Science, High-Performance Computing, Computer Networks, Operating Systems, Database Management Systems, DWDM, Principles of Programming Languages, Formal Languages and Automata Theory, Compiler Design, Computer Graphics, C Programming, Software Engineering, and C++. Demonstrating exceptional skills, he fostered student engagement through meticulous organization of teaching materials and an engaging teaching style. In his classroom, he instills the belief that every student should actively contribute to the learning process. Renowned for his creativity, nurturing approach, and above all, patience, he is dedicated to creating an environment conducive to student success and holistic development.

🎓Education:

Throughout his academic career, he has held various teaching positions, showcasing his dedication to education and computer science. Since 2019, he has been serving as an Associate Professor in the Computer Science and Engineering department at Vignana Bharathi Institute of Technology and Science, contributing his expertise for the past five years. Prior to this, from 2015 to 2018, he held the position of Associate Professor in CSE at Nalla Narsimha Reddy Group of Institutions for a duration of three years. His journey into academia began as an Assistant Professor in CSE at Nalla Narsimha Reddy Group of Institutions from 2010 to 2015, during which he played a significant role in shaping the academic experiences of students for five years. Additionally, he served as a Lecturer in CSE at Tudi Group of Institutions, spanning the years 2007-2008 and 2009-2010, accumulating two years of valuable teaching experience. Throughout these roles, he has consistently demonstrated a passion for computer science education and a commitment to fostering a dynamic learning environment.

🌐 Profile Links:

Achievements:

He has garnered significant recognition for his contributions in the field of research, receiving the prestigious I2OR National Best Researcher Award in 2023 from the Ministry of MSME, Government of India. This acknowledgment adds to his already impressive list of accolades, including the Academic Excellence Award for 2023-2024 from the Novel Research Academy, accredited by the International Accreditation Forum (IAF) and Global Accreditation Assessment Forum Series (GAAFS) with ISO 9001:2015. His influence extends to academic publications, where he serves as an Editorial Member of the International Journal of Internet of Things (IJIOT) and the American Journal of Data Mining and Knowledge Discovery. Additionally, he actively contributes to the academic community by delivering guest lectures, as evidenced by his presentation at Kasireddy Narayana Reddy College of Engineering and Research in Hyderabad. His expertise is further demonstrated through his role as a reviewer for the Springer conference (ICACTEA-2023) and various journals. His commitment to academic excellence is underscored by his qualifications, having cleared the TS-SET and GATE examinations, securing an impressive 86%. Recognized by JNTUH, he has been ratified as an Assistant Professor, showcasing his dedication to both research and education.

Workshop Attended & Conducted:

He has actively contributed to the educational landscape by organizing and conducting impactful workshops. In 2017, he took the initiative to conduct a workshop on Ethical Hacking facilitated by Sai Sathish under the CSI Student Branch. The following year, in 2016, he organized a workshop on Internet Marketing by IIM Delhi, demonstrating his commitment to bringing diverse and valuable learning experiences to students. His efforts also extended to the realm of web development, where he conducted a two-day workshop on “Web Designing using PHP” under the CSI Student Branch in February 2015. Through these workshops, he has played a pivotal role in fostering practical skills and knowledge enhancement among students, contributing to their overall academic and professional development.

Coursera Certifications:

He has demonstrated a strong commitment to continuous learning and professional development by successfully completing various online courses. Among these, he engaged in a comprehensive program on the Business Application of Machine Learning and Artificial Intelligence in Healthcare at Northeastern University. This course, completed from June 28, 2020, to July 22, 2020, equipped him with valuable insights into the intersection of technology and healthcare. Furthermore, he broadened his knowledge in artificial intelligence through the completion of “AI for Everyone” from Deeplearning.ai, spanning from July 19, 2020, to August 9, 2020. Understanding the ethical implications of technology, he also completed the course on “Big Data, Artificial Intelligence, and Ethics” offered by the University of California, Davis, from July 5, 2020, to July 26, 2020. Additionally, he delved into programming by accomplishing “Programming for Everybody (Getting Started with Python)” from the University of Michigan, a comprehensive seven-week program completed from July 26, 2020, to August 23, 2020. To further enhance his understanding of healthcare, he completed the “Introduction to Breast Cancer” course at Yale University from July 5, 2020, to August 12, 2020. Through these endeavors, he has demonstrated a proactive approach to staying abreast of the latest developments in technology, artificial intelligence, and healthcare.

Publications:

  1. Data as a service (Daas) in cloud computing [data-as-a-service in the age of data] Cited By : 29, Published By : 2012

  2. Histopathology breast cancer detection and classification using optimized superpixel clustering algorithm and support vector machine Cited By : 6, Published By : 2022
  3. Multi-Objective Feature Selection Method by Using ACO with PSO Algorithm for Breast Cancer Detection. Cited By : 6, Published By : 2021
  4. Data as a Service (Daas) in Cloud Computing [Data-As-A-Service in the Age of Data] Data as a Service Daas in Cloud Computing  Cited By : 6, Published By : 2012
  5. Implementation of efficient segmentation method for histopathological images Cited By : 5, Published By : 2020
  6. Extracting Subset of Relevant Features for Breast Cancer to Improve Accuracy of Classifier Cited By : 4, Published By : 2019
  7. A Novel Variant-Optimized Search Algorithm for Nuclei Detection in Histopathogy Breast Cancer Images Cited By : 2, Published By : 2022
  8. A FRAME WORK TO DETECT BREAST CANCER USING KNN and SVM Cited By : 2, Published By : 2021
  9. Recognizing the languages in WebPages—A framework for NLP Cited By : 2, Published By : 2013
  10. Effect of Indexing on High-Dimensional Databases Using Query Workloads Cited By : 1, Published By : 2014