Xiuqi Huang | Stock Message Board Information Diffusion | Best Researcher Award

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Xiuqi Huang | Stock Message Board Information Diffusion | Best Researcher Award

Mr Xiuqi Huang Tianjin University, China

With a major in Building Environment and Energy Application Engineering from Tianjin University (September 2019 – June 2021), he excelled academically, securing the top rank among 50 students, placing him in the top 2% of his cohort. Transitioning to the Investment department at ByteDance, from September to December 2023, he spearheaded extensive research on various financial instruments including index funds, short and medium-term bond funds, monetary funds, and commercial pensions. His role involved meticulous analysis of market funds, constructing fund pools using quantitative metrics, and conducting in-depth comparisons with competitors.

Education:

During his time at Tianjin University, he pursued a major in Building Environment and Energy Application Engineering from September 2019 to June 2021, where he demonstrated exceptional academic performance, ranking first among 50 students, placing him in the top 2% of his cohort. Despite initially studying engineering, he seamlessly transitioned to business, indicating a diverse skill set and adaptability. His solid foundation in engineering was evident through his outstanding performance in major courses such as Physics, Fluid Distribution Network, and Theoretical Mechanics, where he consistently achieved scores above 90. This academic excellence was complemented by his transfer to finance studies at Peking University from September 2021 to June 2024, focusing on Finance Technology. At Peking University, he continued to excel academically, achieving a remarkable score of 94.38 out of 100 and securing the top rank among 60 students, placing him in the top 1.67% of his class. His outstanding performance earned him prestigious honors, including the National Scholarship and the Tianjin Government Scholarship, further underscoring his academic prowess and dedication. Throughout his academic journey, he demonstrated proficiency in major courses such as Monetary Finance, Macroeconomics, Operations Research, Accounting, and Statistics, consistently achieving scores above 95. Additionally, his strong mathematical foundation, evidenced by exceptional scores in Mathematics courses and a first prize in a Mathematics competition, highlights his analytical abilities and problem-solving skills, positioning him as a highly capable and accomplished student poised for success in the field of finance.

🌐 Profile Links:

Experience:

During his tenure at ByteDance in the Investment department, he undertook extensive research from September to December 2023, focusing on index funds, short and medium-term bond funds, monetary funds, and commercial pensions. His responsibilities included conducting thorough analyses of funds across the market spectrum and constructing a fund pool based on quantitative indicators. This involved scrutinizing data from 376 funds within the fund pool, employing six distinct screening criteria. His efforts aimed to forecast the company’s prospective fund category earnings trajectory, while also conducting comprehensive comparisons with rival products. Throughout this process, he adeptly managed over 150 access contracts, demonstrating his proficiency in handling intricate financial transactions and contractual obligations. His meticulous approach to research and analysis contributed significantly to ByteDance’s strategic investment decisions during this period. By leveraging his expertise in fund management and his analytical skills, he played a pivotal role in identifying lucrative investment opportunities and optimizing the company’s investment portfolio for sustained growth and profitability.

Publication:

  1. Novel effective room temperature-based predictive feedback control method for large-scale district heating substation Cited By : 8, Published By : 2023

Souvick Das | Natural Language Processing and Software Engineering | Best Researcher Award

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Souvick Das | Natural Language Processing and Software Engineering | Best Researcher Award

Souvick Das received the BSc and MSc degrees in computer science from West Bengal State University, India in the year 2012 and 2014 respectively. He is a research associate with the Department of Environmental Science, Informatics, and Statistics, of Ca’ Foscari University, Venice, Italy and is currently working toward the PhD degree in Computer Science and Engineering from University of Calcutta, India. He has qualified UGC NET-JRF in the year of 2016

Education:

He pursued his academic journey in computer science at West Bengal State University, Kolkata, India. Beginning with a Bachelor of Science degree, he completed his undergraduate studies from 2009 to 2012. Following this, he furthered his education with a Master of Science degree, specializing in computer science, from 2012 to 2014, still at West Bengal State University. Building upon his foundation, he embarked on a Ph.D. program in Computer Science and Engineering at the University of Calcutta, Kolkata, in September 2017, where he continues to pursue his research to date.

🌐 Profile Links:

Experience:

He worked as a full-time lecturer in Computer Science at Mrinalini Dutta Mahavidyapith in Kolkata, West Bengal, India, from July 15, 2015, to August 31, 2017. Subsequently, he pursued his Ph.D. in Computer Science and Engineering at the University of Calcutta in Kolkata from September 1, 2017, until April 1, 2024. Following this, he transitioned to the role of Research Associate at the Department of Environmental Science, Informatics, and Statistics at the University Ca’ Foscari Venezia in Mestre, Venice, Italy, starting from September 1, 2022, and continuing until August 31, 2024.

Publications:

  1. Sentence embedding models for similarity detection of software requirements Cited By : 15, Published By : 2021
  2. Correlating contexts and NFR conflicts from event logs Cited By : 4, Published By : 2023
  3. A rule based lightweight Bengali stemmer Cited By : 4, Published By : 2020
  4. Dynamic Contextual Goal Management in IoT-Based Systems Cited By : 1, Published By : 2020
  5. Extracting goal models from natural language requirement specifications Published By : 2024
  6. Minimising conflicts among run‐time non‐functional requirements within DevOps Published By : 2024
  7. CoDescribe: An Intelligent Code Analyst for Enhancing Productivity and Software Quality Published By : 2023
  8. Zero-shot Learning for Named Entity Recognition in Software Specification Documents Published By : 2023
  9. Driving the Technology Value Stream by Analyzing App Reviews Published By : 2023
  10. An Annexure to the Paper” Driving the Technology Value Stream by Analyzing App Reviews” Published By : 2023

 

 

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

🌐 Profile Links:

Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAV’s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

 

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