Dr. Aamir Saghir | Surveillance | Best Researcher Award

Dr. Aamir Saghir, Budapest University of Technology and Economics, Hungary

Dr. Aamir Saghir is an Associate Professor of Statistics in the Department of Statistics at Mirpur University of Science and Technology (MUST), Mirpur, Pakistan. He earned his Ph.D. in Statistics from Zhejiang University, Hangzhou, China, where his research focused on flexible and robust control charts for statistical process monitoring. Dr. Saghir has a strong academic background, having also completed his M.Phil. in Statistics from Quaid-e-Azam University, Islamabad, Pakistan, where he conducted research on Bayesian and classical approaches to monitoring process parameters. His professional career includes roles as a lecturer and assistant professor at various institutions, including MUST and the University of AJK. Dr. Saghir has contributed significantly to academia, having supervised numerous research projects, including a socio-economic survey and several research grants on tuberculosis treatment outcomes. His research interests primarily lie in statistical quality control, data analysis, probability models, and the application of machine learning methods in anomaly detection. He is a member of several professional boards and has participated in various training and professional development workshops. Dr. Saghir has also contributed to numerous professional events and conferences, further solidifying his reputation as an expert in his field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Aamir Saghir, currently serving as an Associate Professor of Statistics at Mirpur University of Science and Technology (MUST), stands out as a seasoned academician and researcher with a distinguished career in statistical quality control, data analysis, and probabilistic modeling. His profile reflects a strong commitment to scholarly excellence, leadership, and applied research with real-world impact.

🎓 Education

Ph.D. in Statistics (2011–2014)
🏛️ Zhejiang University, Hangzhou, China
🎯 Thesis: Flexible and Robust Control Charts for Statistical Process Monitoring
👨‍🏫 Supervisor: Prof. Zhengyan Lin
M.Phil. in Statistics (2006–2008)
🏛️ Quaid-i-Azam University, Islamabad, Pakistan
🎯 Thesis: Bayesian and Classical Approaches to Monitor Process Parameters
👨‍🏫 Supervisor: Prof. Dr. Muhammad Aslam
M.Sc. in Statistics (2004–2006)
🏛️ Quaid-i-Azam University, Islamabad, Pakistan
🥇 First Position
🎯 Thesis: Some New Approaches to Process Monitoring
👨‍🏫 Supervisor: Mr. Muhammad Riaz
B.Sc. in Mathematics A & B / Statistics (2001–2003)
🏛️ University of AJK, Muzaffarabad, Pakistan

💼 Work Experience

🧑‍🏫 Academic Positions

Associate Professor of Statistics
📍 Mirpur University of Science and Technology (MUST), AJK, Pakistan
⏳ Since Aug 2017 – Present
Assistant Professor of Statistics
📍 MUST, AJK
⏳ Jul 2014 – Aug 2017
Lecturer in Statistics
📍 MUST, AJK
⏳ Nov 2010 – Jul 2014
Lecturer in Statistics
📍 University of AJK, Muzaffarabad
⏳ Oct 2006 – Nov 2010

🧪 Research Positions

Research Associate
🏛️ Budapest University of Technology and Economics, Hungary
⏳ Sep 2024 – Present
Postdoc Research Fellow
🏛️ University of Pannonia, Veszprem, Hungary
⏳ Jan 2022 – Jan 2023

🏢 Administrative Roles

📚 Chief Librarian, Ali Ahmad Shah Library (2023–2024)
🎓 Founder Chairperson, Department of Statistics (2020–2022)
💰 Treasurer/Chief Financial Officer (2019–2020)
📝 Additional Controller (2017–2018)
🗂 Assistant Director AS&RB (2015–2017)

🏆 Achievements & Awards

🥇 First Position in M.Sc. Statistics
🎓 China Scholarship Council (CSC) Award for Ph.D.
📜 Distinguished Certificate in Ph.D. from Zhejiang University
✅ HEC Approved Ph.D. Supervisor
📊 Survey Supervisor: Socio-Economic Impact on Telecommunication (2008)
👨‍🏫 Board Member:
- Dept. of Statistics, University of Hazara
- Dept. of Statistics, MUST

💰 Research Grants

🧫 Treatment Outcomes in TB Patients (2015–16)
🏛️ Funded by ORIC MUST – 💵 PKR 0.25 Million – ✅ Completed (2017)
📈 Phase II Control Charts for Monitoring Dispersion Based on False Alarm Probability
📌 Status not specified

Publication Top Notes:

EWMA control chart framework for efficient Maxwell quality characteristic monitoring: An application to the aerospace industry

Explainable Transformer-Based Anomaly Detection for Internet of Things Security

Pareto Distribution-Based Shewhart Control Chart for Early Detection of Process Mean Shifts

Adaptive EWMA control charts for the Rayleigh distribution

A probability distribution for precipitation data analysis

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

MSc in Microbiology
Kumoh National Institute of Technology, South Korea
📅 February 2023

Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
Advisor: Professor Wansu Lim

BSc in Mathematics
Delta State University, Abraka, Nigeria
📅 October 2019

Second Class Upper Division
Thesis: Counting Techniques in Discrete Mathematics
Advisor: Dr. J.S. Apanapudor

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

Worked on lab projects under the supervision of Professor Wansu Lim

Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊

Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️

Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸

Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄

Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗

Applied data fusion techniques for face and speech emotion recognition 🤖

Generated artificial data for ultra-capacitor projects 🔋