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

 

Payam Ismael | Web Analytics and Metrics

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Payam Ismael – Leading Researcher in Web Analytics and Metrics

Ms Payam Ismael , a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar soran university, Iraq. His academic journey has been marked by a profound dedication to Autonomous Vehicles into Social Media and Digital Marketing applications.

 💼 Work Experience:

During her professional journey, she underwent a comprehensive training program at LafargeHolcim-Iraq Co., where she dedicated three months in 2017 to enhance her skills in the concrete laboratory. Subsequently, she expanded her expertise by participating in a diverse training initiative at the Erbil Construction Laboratory, spanning three months in the same year. This program covered a spectrum of areas including concrete, materials, asphalt, and soil laboratories. Demonstrating her commitment to academic and professional growth, she engaged in a more extensive six-month research-oriented role at the Concrete Lab of Salahaddin University in 2022. Here, she contributed as a researcher, actively participating in concrete laboratory work, aligning with the requirements for the attainment of her MSc degree. Through these experiences, she not only acquired practical knowledge but also demonstrated her dedication to advancing her skills in the field.

🌐 Profile Links:

 🎓Education: 

She embarked on an academic journey at Ishik University in Erbil, where she pursued her Bachelor’s degree in Civil Engineering from 2014 to 2018. During this time, she exhibited her commitment to academic excellence, achieving a GPA of 2.96 out of 4.0. Building upon her foundational knowledge, she furthered her education at Salahaddin University in Erbil, dedicating the years 2020 to 2022 to pursue a Master of Science (MSc) degree in Civil Engineering with a focus on Construction Materials. Her research, titled “Evaluating Bond Strength of Polymer Modified Cement Mortar Incorporated with Fibers for Adhesive and Repair Applications,” earned her a noteworthy mark of 86.6 out of 100. This academic endeavor reflects her dedication to advancing her expertise in civil engineering and construction materials.

📊Duties and Responsibilities:

  1. Provide Technical Support for the development and operation of proficiency testing programs in the field of construction material testing.
  2. Provide technical support and guidance on testing procedures, methods, and equipment.
  3. Prepare, characterize, handle, pack, and label proficiency testing items related to construction material testing, ensuring homogeneity, and stability.
  4. Ensure that proficiency testing items related to construction material testing are handled, stored, and transported in accordance with industry standards and regulations.
  5. Analyze and interpret proficiency testing results, and provide technical support to help participants understand the results.
  6. Providing technical support to participants to address any issues that may arise.
  7. Ensure periodic preventive maintenance and calibration of the identified
    equipment’s and to ensure its execution.
  8. Ensuring that safety guidelines are adhered to at all times within the laboratory.
  9. Perform any other duties as assigned related to the development and implementation of proficiency testing programs in construction material testing.
  10. Perform any other duties as assigned related to the development and implementation of proficiency testing programs in construction material testing.

📚 Publications:

  1. Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete https://doi.org/10.1016/j.conbuildmat.2023.132604
  2. Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength ofconcrete https://doi.org/10.1016/j.jobe.2023.106820
  3. Bond strength evaluation of polymer modified cement mortar incorporated with polypropylene fibers https://doi.org/10.1016/j.cscm.2022.e01387
  4. Innovative approaches to deflection analysis in strengthened reinforced concrete Slabs: Combining experiments and theoretical research https://doi.org/10.1016/j.istruc.2023.105440
  5. Geopolymer concrete: Properties, durability and applications DOI: 10.5937/ror2201063J
  6. A Review on Self-Healing Concrete https://doi.org/10.4028/p-52lej6

 

The Evolution of Social Media and Digital Marketing

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Introduction of The Evolution of Social Media and Digital Marketing

The evolution of social media and digital marketing has been a transformative journey, reshaping the way businesses connect with their audiences and promote their products or services. Over the years, these fields have witnessed dynamic shifts driven by technological advancements, changing consumer behaviors, and emerging trends. Understanding this evolution is essential for staying relevant in the fast-paced digital landscape.

The Evolution of Social Media and Digital Marketing:

Early Days of Social Media Marketing:

Exploring the origins of social media marketing, from the basic profiles and pages to the emergence of platforms like MySpace, Friendster, and early Facebook advertising.

Rise of Mobile and App-Based Marketing:

Analyzing the impact of mobile devices and the proliferation of apps on digital marketing strategies, including mobile advertising, in-app marketing, and responsive design.

Social Media Advertising and Targeting:

Investigating the growth of social media advertising, including the development of targeted advertising options, sponsored content, and programmatic advertising on platforms like Facebook and Instagram.

Content Marketing and SEO:

Studying the integration of content marketing and search engine optimization (SEO) as essential components of digital marketing, with a focus on quality content and user-centric optimization.

Influencer Marketing and User-Generated Content:

Exploring the rise of influencer marketing and the role of user-generated content in shaping brand perception and engagement on social platforms.

Data Analytics and Personalization:

Researching the role of data analytics, machine learning, and artificial intelligence in enabling personalized marketing experiences and dynamic content recommendations.

Social Commerce and E-commerce Integration:

Analyzing the integration of social commerce features on platforms like Instagram and Pinterest, and the impact of shoppable posts and in-app purchases on digital marketing.

Privacy and Ethical Considerations:

Investigating the evolving landscape of privacy regulations (e.g., GDPR, CCPA) and ethical considerations in data collection, user tracking, and digital marketing practices.

Social Media Trends and Emerging Technologies:

Exploring current and emerging trends in social media, such as live streaming, virtual reality (VR), augmented reality (AR), and the influence of emerging technologies on marketing strategies.

The Future of Digital Marketing:

Speculating on the future of digital marketing, including the continued growth of AI-driven marketing automation, the integration of voice search, and the potential impact of blockchain technology on advertising transparency.

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