Intersection of Machine Learning and Computational Social Sciences
暫譯: 機器學習與計算社會科學的交集

這段文字討論了演算法的理論背景以及使用社會科學問題的方法應用。它探討了不同的機器學習方法，以分析社交網路來解決當前數位世界中的問題。內容涵蓋了半監督學習的原則以及強化演算法等主題。

Akib Mohi Ud Din Khanday

Akib received the master's degree in Information Technology from Islamic University of Science and Technology, Awantipora, Jammu and Kashmir, India and the Ph.D. degree in Computer Sciences from the Baba Ghulam Shah Badshah University, Rajouri, Jammu and Kashmir, India, in 2022. He has worked as Assistant Professor in the department of Information Technology, S.P. College, Cluster University, Srinagar, J&K, India and in the Department of Computer Science and Applications, Sharda University, India. He has worked as a Post Doctoral Research fellow in Department of Computer Science and Software Engineering-CIT, United Arab Emirates University, Al Ain from May 2023 to August 2024. He has worked as Assistant Professor in Department of Computer Science, Samarkand International University of Technology, Uzbekistan (September 2024 to May 2025). Currently, He is working as Assistant Professor in Information Technology, Cluster University of Srinagar, India.

His research interests are Computational Social Sciences, NLP and Machine/Deep Learning. He has authored many research articles in the reputed journals and conferences. He has served as a reviewer in reputed journals over the years.

Salah Bouktif

Salah Bouktif (Member, IEEE) received the degree in engineering and the master's degree in industrial computing from the School of Computer Science, University of Tunis, Tunisia, and the Ph.D. degree (Hons.) in computer science from the University of Montreal, in 2015. He has been a Senior Software Engineer with Tunisian Railway Company (Known as SNCF), for three years. He is currently working as Full Professor with the College of Information Technology (CIT), United Arab Emirates University. Before joining CIT, in 2007, he was a Postdoctoral Fellow with the Department of Computer Engineering, Polytechnic School of Engineering, Montreal. He has published many papers in highly ranked journals and conferences, such as IEEE ICSM, IEEE ASE, ACM GECCO, ACM/IEEE ASONAM, IEEE ICWS, Information and Software Technology (Elsevier), ACM Transactions on IMS, and PLOS One. His research interests include energy prediction, data mining, big data analytics, search-based software engineering, and software quality assurance.

Mohd Anas Wajid

Mohd Anas received a Bachelor's, Master's, and a PhD degree in Computer Science and applications from Aligarh Muslim University, India. He was awarded with the MITACS-

SICI Globalink Research Award for doing a part of research at the University of Athabasca,

Edmonton, Alberta, Canada. He was also awarded a Diploma from the Neutrosophic Science International Association (NSIA), University of New Mexico, USA. He was a recipient of the Maulana Azad National Fellowship, Senior Research Fellow (SRF), and UGC fellowship from the Government of India. He was also a recipient of the ACM India Anveshan Setu Fellowship, ACM India Council. He qualified for various prestigious national exams such as UGC-NET and GATE multiple times. He has a keen research interest in the fields of Soft Computing, Machine Learning, Data Science, Information Retrieval, Neutrosophy, and Digital Twin. He has academic and industrial experience. His other favored tool is LaTeX, which he likes to use for all academic writings and presentations. He has published more than 20 research papers in international journals and conferences and published 10 books. He holds two patents for his research.

Syed Tanzeel Rabani

Syed Tanzeel Rabani currently serves as an Assistant Professor in the Department of Artificial Intelligence at Samarkand International University of Technology, Uzbekistan. His research expertise spans Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and Social Network Analysis, with a particular focus on mental health analytics, including the detection of suicidal ideation and hate speech on social media. He holds a Ph.D. in Computer Science along with an M.Phil(Gold Medalist), MCA, BCA, and has qualified UGC NET (June 2024) with 96.97 percentile. His work involves advanced techniques such as hybrid feature engineering, ensemble learning, and big data analytics applied to social media platforms like Twitter and Reddit. Rabani has authored 20 research papers published in high-indexed international journals and has made significant contributions to the development of intelligent systems for public health monitoring and ethical AI. His work continues to drive innovation in AI applications for real-world societal challenges.

**Akib Mohi Ud Din Khanday**

Akib於2022年獲得印度查謨和克什米爾阿萬提波拉伊斯蘭科技大學的資訊科技碩士學位，以及巴巴古拉姆沙巴德沙大學的計算機科學博士學位。他曾在印度查謨和克什米爾斯利那加的S.P.學院資訊科技系擔任助理教授，並在印度沙達大學的計算機科學與應用系工作。他於2023年5月至2024年8月在阿聯酋大學計算機科學與軟體工程系擔任博士後研究員。他還在烏茲別克斯坦撒馬爾罕國際科技大學的計算機科學系擔任助理教授（2024年9月至2025年5月）。目前，他在印度斯利那加的集群大學資訊科技系擔任助理教授。

他的研究興趣包括計算社會科學、自然語言處理（NLP）和機器/深度學習。他在多個知名期刊和會議上發表了許多研究文章，並多年來擔任知名期刊的審稿人。

**Salah Bouktif**

Salah Bouktif（IEEE會員）於2015年獲得突尼西亞突尼斯大學計算機科學學院的工程學位和工業計算碩士學位，以及蒙特利爾大學的計算機科學博士學位（榮譽）。他曾在突尼西亞鐵路公司（SNCF）擔任高級軟體工程師三年。目前，他在阿聯酋大學資訊科技學院（CIT）擔任全職教授。在2007年加入CIT之前，他曾在蒙特利爾的工程學院計算機工程系擔任博士後研究員。他在多個高排名的期刊和會議上發表了許多論文，如IEEE ICSM、IEEE ASE、ACM GECCO、ACM/IEEE ASONAM、IEEE ICWS、Information and Software Technology（Elsevier）、ACM Transactions on IMS和PLOS One。他的研究興趣包括能源預測、數據挖掘、大數據分析、基於搜索的軟體工程和軟體質量保證。

**Mohd Anas Wajid**

Mohd Anas在印度阿里格爾穆斯林大學獲得計算機科學及應用的學士、碩士和博士學位。他因在加拿大艾伯塔省阿薩巴斯卡大學進行部分研究而獲得MITACS-SICI Globalink研究獎。他還獲得了美國新墨西哥大學的中立科學國際協會（NSIA）頒發的文憑。他曾獲得印度政府的Maulana Azad國家獎學金、高級研究員（SRF）和UGC獎學金。他還獲得了ACM印度Anveshan Setu獎學金，並多次通過UGC-NET和GATE等多項國家級考試。他對軟體計算、機器學習、數據科學、資訊檢索、中立哲學和數位雙胞胎等領域有濃厚的研究興趣。他擁有學術和工業經驗，並喜歡使用LaTeX進行所有學術寫作和演示。他在國際期刊和會議上發表了超過20篇研究論文，並出版了10本書籍。他擁有兩項研究專利。

**Syed Tanzeel Rabani**

Syed Tanzeel Rabani目前在烏茲別克斯坦撒馬爾罕國際科技大學的人工智慧系擔任助理教授。他的研究專長涵蓋人工智慧、機器學習、自然語言處理（NLP）和社交網絡分析，特別專注於心理健康分析，包括檢測社交媒體上的自殺意念和仇恨言論。他擁有計算機科學博士學位，以及M.Phil（榮譽金獎）、MCA和BCA學位，並以96.97的百分位數通過了UGC NET（2024年6月）。他的工作涉及先進技術，如混合特徵工程、集成學習和應用於Twitter和Reddit等社交媒體平台的大數據分析。Rabani已發表20篇研究論文於高指數的國際期刊，並對公共健康監測和倫理人工智慧的智能系統開發做出了重要貢獻。他的工作持續推動人工智慧應用於現實社會挑戰的創新。