Dehua Xia | Social Media Award | Best Innovation Award

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Dehua Xia | Social Media Award | Best Innovation Award

Mr Dehua Xia Corvinus University of Budapest, Hungary 

He began his professional journey as an International Trade Specialist at Shanghai Chiyan Abrasive Materials Co., Ltd, gaining valuable insights into global commerce. Currently pursuing a Ph.D. in Business and Management, specializing in Finance at Corvinus University of Budapest since September 2023, he delves deeper into the intricacies of financial markets and management. With diverse experience spanning various industries, he brings a unique perspective to his academic pursuits, combining practical knowledge with theoretical expertise. His dedication to continuous learning and exploration drives him towards achieving excellence in both his academic and professional endeavors.

Education:

He is currently pursuing a Ph.D. in Business and Management with a specialization in Finance at Corvinus University of Budapest since September 2023. His research interests encompass sustainability, ESG investment, and corporate finance, reflecting his dedication to exploring the intersection of finance and environmental, social, and governance (ESG) factors. Prior to his doctoral studies, he completed an MSc in Finance at Corvinus University of Budapest under the CSC Scholarship, achieving a remarkable GPA of 4.85/5 with distinction. His coursework included Applied Corporate Finance, Financial Economics, Investment, Investment banking, as well as proficiency in Financial Algorithms, VBA, R Programming, and Power BI. Before his master’s degree, he obtained a BA in Business Administration and Management from the University of Pannonia, also through the CSC Scholarship, graduating with a GPA of 4.89/5. During this period, he gained expertise in Corporate Finance, Accounting, and Taxation. Additionally, he holds a BA in Financial Management from the University of Yichun, China, where he acquired foundational knowledge in financial management and accounting. His academic journey reflects a strong commitment to excellence in finance and management, along with a keen interest in exploring innovative approaches to financial analysis and decision-making.

🌐 Profile Links:

Experience:

He has gained diverse professional experience across various industries and roles. Starting as an International Trade Specialist at Shanghai Chiyan Abrasive Materials Co., Ltd, he efficiently operated on platforms like Alibaba, managing tasks such as updating company information, optimizing product releases, and handling inquiries and RFQs. Following this, he transitioned to the role of an English Teacher at Shanghai Only Education Technology Group Co., Ltd. Here, he demonstrated his ability to tailor personalized teaching plans and counseling sessions for students, delivering lectures, answering queries, and providing constructive feedback. Subsequently, he embarked on an Accounting Analyst Internship at International Flavors & Fragrances IFF (Hungary) Kft., where he accrued FI invoices in SAP and processed standard and recurring journal entries. Through these experiences, he has showcased his adaptability, communication skills, and proficiency in handling diverse responsibilities within different professional settings. His tenure reflects a commitment to continuous learning, versatility, and a strong work ethic, positioning him as a valuable asset in any future endeavors.

Honors and Awards:

He has demonstrated a strong commitment to his academic and professional development, with notable achievements in the fields of finance, statistics, and data analysis. At The Hong Kong University of Science and Technology, he completed a course on Python and Statistics for Financial Analysis in January 2023, enhancing his quantitative skills for financial modeling and analysis. His dedication to excellence was further recognized through a Scientific Scholarship in 2021-2022. Additionally, he excelled in academic competitions, securing the 3rd place at the 2022 Scientific Student Associations’ Conference (TDK) in the Financial Markets section and participating in the Baker Hughes University Bootcamp case study competition in February 2022. His proficiency in financial markets was further validated with the completion of the BMC (Bloomberg Market Concepts) certification in November 2021. Beyond academia, he has also demonstrated athletic prowess, achieving the 28th place out of 200 participants in the 19th university running competition in 2017 at the University of Pannonia. Moreover, his commitment to community service is evident through his recognition as an Outstanding Youth Volunteer at the University of Yichun in May 2017. Through his diverse experiences and achievements, he showcases a well-rounded skill set and a dedication to personal and professional growth.

Publications:

  1. What Role Does Board Composition Play in ESG Disclosure? Evidence from V4 Countries Published By : 2023
  2. Too Much Water Drowned the Miller: Exploring the Role of Managerial Ownership on Stock Liquidity in China Published By : 2023
  3. Does ESG Disclosure Matter in China Stock Market? Published By : 2022
  4. Aspects of Life-quality among International and Native Students Published By : 2020

 

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