Zameer Abbas | Statistics | Best Researcher Award

Mr.Zameer Abbas | Statistics | Best Researcher AwardΒ 

Ph.D Scholar East China Normal University, Shanghai, China

Zameer Abbas is an accomplished academic and researcher in the field of Statistics, currently serving as an Assistant Professor at Govt. Ambala Muslim College, Sargodha, Pakistan. With a rich background in developing and enhancing control charts, his work has significantly contributed to the field of quality process control. He is known for his innovative approaches in statistical methods and has a robust publication record in renowned journals.

Profile

Scopus

πŸŽ“ Education

Zameer Abbas holds an M.Phil. in Statistics from the University of Sargodha (2017) with a CGPA of 3.25/4. He also earned a gold medal for his M.Sc. in Statistics from the University of Punjab, Lahore (2008), achieving an impressive 891/1200 marks.

πŸ’Ό Experience

Zameer has extensive teaching experience, beginning as a Lecturer in Statistics at Govt. Degree College Bhagtanwala and progressing to his current role as Assistant Professor at Govt. Ambala Muslim College. Over his career, he has taught various courses, including Business Statistics, Probability Theory, and Econometrics.

πŸ”¬ Research Interests

His research interests encompass the development of new control charts, non-parametric control charts, robust control charts, and enhancing the performance of memory-type control charts. He is also interested in quality process control, econometrics, regression, probability distributions, statistical inference, Bayesian analysis, and sampling techniques.

πŸ† Awards

Zameer has received numerous academic distinctions, including:

  • 1st position in M.Sc. Statistics from Punjab University, Lahore.
  • Scholarship from the University of Sargodha for his M.Phil. studies.
  • Best student certificates for the year 2007 from the District Association Jhang and Govt. Postgraduate College Jhang.

πŸ“š Publications

Zameer Abbas has an impressive list of publications, contributing significantly to the field of quality and reliability engineering. Here are some of his notable works:

  1. Abbas, Z., et al. (2019). An enhanced approach for the progressive mean control charts. Quality and Reliability Engineering International, 35(4), 1046-1060. Link
  2. Abbas, Z., et al. (2020). On designing an efficient control chart to monitor fraction nonconforming. Quality and Reliability Engineering International, 36(3), 547-564. Link
  3. Abbas, Z., et al. (2020). On Developing an Exponentially Weighted Moving Average Chart under Progressive setup: An Efficient approach to Manufacturing Processes. Quality and Reliability Engineering International, 36(7), 2569-2591. Link
  4. Abbas, Z., et al. (2020). Enhanced Nonparametric Control Charts under Simple and Ranked Set Sampling Schemes. Transactions of the Institute of Measurement and Control, 42(14), 2744-2759. Link
  5. Abbas, Z., et al. (2020). On Designing a Progressive Mean Chart for Efficient Monitoring of Process Location. Quality and Reliability Engineering International, 36(5), 1716-1730. Link

 

Fatemeh Golpayegani | Artificial Intelligence | Best Researcher Award

Dr. Fatemeh Golpayegani | Artificial Intelligence | Best Researcher AwardΒ 

Assistant Professor | University College Dublin | Ireland

πŸ“œ Short Bio:

Fatemeh Golpayegani is currently an Assistant Professor at the School of Computer Science, University College Dublin (UCD), where she contributes significantly to research and academic activities in the field of computer science. Her expertise lies in multi-agent systems, edge computing, and intelligent transport systems.

Profile:

SCOPUS

πŸŽ“ Education:

Fatemeh pursued her academic journey with a strong foundation in computer science:

  • Ph.D. in Computer Science (2013-2018)
    Trinity College Dublin, Dublin, Ireland
    Thesis Title: “Collaboration community formation in open systems for agents with multiple goals.”
    Supervised by Prof. Siobhan Clarke.
  • M.Sc. in Computer (Software) Engineering (2010-2012)
    Sharif University of Technology, Tehran, Iran
    Thesis Title: “Development of a process line engineering approach based on product line engineering methods for engineering agent-oriented methodologies.”
  • B.Sc. Hons in Computer (Software) Engineering (2006-2010)
    Alzahra University, Tehran, Iran

πŸ‘©β€πŸ« Experience:

Fatemeh has held various academic and professional roles:

  • Assistant Professor (Dec 2020 – Present)
    School of Computer Science, UCD, Dublin, Ireland
  • Postdoctoral Researcher (June 2018 – Jan 2019)
    CONNECT, School of Computer Science and Statistics, Trinity College Dublin, Ireland
  • Software Engineer (Sept 2010 – Aug 2013)
    ITOrbit, Tehran, Iran

πŸ” Research Interest:

Her research interests encompass:

Multi-agent Systems, Edge Computing, Intelligent Transport Systems, Agent-based Modeling

πŸ† Award:

Fatemeh Golpayegani is recognized as a member of the Young Academy of Ireland (2023-2027), highlighting her contribution to advancing research and cultural life in Ireland.

πŸ“š Publications:

Fatemeh has contributed significantly to her field with numerous peer-reviewed publications. A selection of her notable works include:

Adaptation in Edge Computing: A review on design principles and research challenges
Published in ACM Transactions on Autonomous and Adaptive Systems, 2024. Cited by: 15

Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model
Published in Journal of Reliable Intelligent Environments, 2023. Cited by: 20

Towards the Use of Hypermedia MAS and Microservices for Web Scale Agent-Based Simulation
Published in SN Computer Science, 2022.

Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction
Published in IEEE Access, 2022.

Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-agent Systems
Published in ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

These publications underscore her research breadth and impact in areas such as adaptive systems, shared mobility, and multi-agent collaboration.