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

 

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.

🌐 Profile Links:

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

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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.

🌐 Profile Links:

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 V2O5  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

 

Mohammad Khalooei | Robust Machine learning

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Mohammad Khalooei – Leading Researcher in Robust Machine learning

Congratulations, Mr Mohammad Khalooei, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Mr Mohammad Khalooei, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amirkabir University of Technology, Iran. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

📚 Education:

He is currently a Ph.D. candidate in Computer Engineering (Artificial Intelligence) at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, a position he has held since 2017. Under the supervision of Prof. Mohammad Mehdi Homayounpour and Dr. Maryam Amirmazlaghani, he is actively engaged in advancing his research in the field of Artificial Intelligence. Prior to this, he earned his MSc in Computer Engineering (Artificial Intelligence) from the same institution, graduating in 2017 with an outstanding GPA of 18.79/20. During his master’s program, he worked under the guidance of Prof. Dr. Mohammad Fakhredanesh and Dr. Mohammad Sabokrou, focusing on dominant and rare event detection and localization in video using deep learning methods. His remarkable academic achievements were acknowledged with the first rank among all computer engineering students at the university since 2015.

Before pursuing his master’s degree, he completed his BSc in Computer Engineering (Software Engineering) at Vali-e-Asr University of Rafsanjan, Kerman, Iran, from 2011 to 2015. With a GPA of 17.54/20, he excelled in his academic endeavors. His undergraduate thesis, conducted under the supervision of Dr. Seyyed Mojtaba Sabbagh, Mr. Alireza Mohammadi, and Mis. Fahimeh Dabbaghi, involved replacing the Differential Evolution, Particle Swarm Optimization, and an adaptive Markov Chain Monte Carlo simulation algorithms in the Hydrus modeling project. Notably, he achieved the top position among all computer engineering students at the university from 2011 onwards.

His educational journey began with a Diploma in Mathematics and Physics at Shohada10 High School in Kerman, Iran, where he completed his studies from 1997 to 2011.

🌐 Profile Links:

Awards and Honors:

2020 Full scholarship award at CIFAR Deep Learning and Reinforcement Learning Summer School hosted by CIFAR and Mila, with participation and support from Amii and the Vector Institute.  2020 Invited to attend the Microsoft Research Frontiers in Machine Learning 2020 virtual event. 2020 Reviewer of the International Conference on Learning Representations (ICLR).  2020 Reviewer of the International Conference on Machine Learning (ICML). 2018 Outstanding contribution award in reviewing Elsevier Pattern Recognition Letters Journal, International Association for Pattern Recognition. 2018 Best Hackathon potential Idea award at “Vision is APP to you,” Achieving the best idea of Apple Foundation Program certificate, Italy. 2018 Full scholarship award at Machine and Vision Intelligence school, International Association for Pattern Recognition, Under supervision of Prof. Alfredo Petrosino, Italy. 2017 1st of 12th, Achieving the highest GPA among all Artificial intelligence students at MUT, Tehran, IRAN.

Experience: 

Fall 2019 Teacher Assistant, Speech and audio Signal Processing, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Prof. Mohammad Mehdi Homayounpour. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi.  2019 Lecturer, Robustness of Deep Neural Networks, Sharif University of Technology, Winter Seminar Series (WSS) workshop. Spring 2019 Teacher Assistant, Convex Optimization, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Maryam Amirmazlaghani. 2019 Speaker, Adversarial Machine learning, Amirkabir University of Technology (Tehran Polytechnic), AAIC competition workshop. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 🗣 2018 Speaker, Machine learning in a life of points landscape, Amirkabir University of Technology (Tehran Polytechnic).

Research Experiences:

2017-Now Theoretical and practical research on defending against Adversarial Attack towards Deep Neural Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Theoretical research on Optimization of Generative Adversarial Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on Self-Attention Generative Adversarial Network, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on hot topic of Neural network papers (CycleGAN, UNet), Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Project Experiences: 🗣

2019 Generating Adversarial Examples for Speech Recognition, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Representational space visualization, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Chief Technology Officer (CTO), 5th Amirkabir Artificial Intelligence competitions, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Artificial Intelligence and the Future of Public Policy of IRAN, National Elites Foundation, Tehran, Iran.

Computer Skills:

  • Languages: Python, Java, C/C++, C#, MATLAB, Linux Shell Script. 🛡
  • Adversarial ML: AdverTorch, CleverHans, Foolbox, IBM-ART. 🤖
  • Deep learning: PyTorch, TensorFlow, Keras. 🌐 Large scale ML: Apache Mahout, Spark MLlib.

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

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Dr Paulraj D –  Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

👩‍🏫 Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

🌐 Profile Links:

🔍 Skills:

  • Faculty Communication
  • Curriculum and Syllabus Planning and Development
  • Technology-based Curriculum Development
  • Board of Study Member
  • Performance Assessment
  • Classroom Management
  • Academic Research and Analysis
  • Student Research Guidance
  • Online Learning Tools
  • Thesis Advisement
  • Student Counseling

📚 Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

👩‍🎓 Experience:

  • Professor (Jun 15, 2022 – Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
  • Professor & Head of the Department (Nov 23, 2016 – Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
  • Professor (Nov 2012 – Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Associate Professor (Jun 2009 – Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Software Engineer (Jul 1995 – Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
  • Software Engineer (Oct 1993 – Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

🏆 Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

📊 Research:

  1. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
  2. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
  3. D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

👩‍💼 Responsibilities at Present Institution:

  • Professor of Computer Science and Engineering.
  • Anna University Recognized Research Supervisor.
  • Coordinator Internal Hackathon.
  • Sports Convenor.
  • Institution Level NBA Coordinator.
  • IQAC Member.
  • NPTEL SPOC.
  • External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

🏆 Awards and Honors:

  • 2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
  • 2012: Men Engineers Award, IET, Chennai Network.
  • 2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
  • 2005: Board of Study Member, Kannur University.
  • 2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.