Zameer Abbas | Statistics | Best Researcher Award

Posted on by Academic achievements

Mr.Zameer Abbas | Statistics | Best Researcher Award 

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

🎓 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.

💼 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.

🔬 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.

🏆 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.

📚 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

Posted on by Academic achievements

Dr. Fatemeh Golpayegani | Artificial Intelligence | Best Researcher Award 

Assistant Professor | University College Dublin | Ireland

📜 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

🎓 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

👩‍🏫 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

🔍 Research Interest:

Her research interests encompass:

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

🏆 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.

📚 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.

 

Puranam Revanth Kumar | Artificial Intelligence and Machine Learning | Best Researcher Award

Posted on by Academic achievements

Dr.Puranam Revanth Kumar | Artificial Intelligence and Machine Learning | Best Researcher Award

Assistant Professor Malla Reddy University, Hyderabad, India. 

Dr. Puranam Revanth Kumar is an Assistant Professor at Malla Reddy University, Hyderabad, specializing in Artificial Intelligence and Machine Learning. His research focuses on image processing, deep learning, and biomedical imaging, with significant contributions to neuroimaging. He holds a Ph.D. in Electronics and Communication Engineering from ICFAI University, Hyderabad.

profile

Google Scholar

📚 Education

  • Ph.D., Electronics and Communication Engineering, ICFAI University, Hyderabad, India, 2019-2024.
  • M.Tech, Control and Instrumentation, AMRITA University, Coimbatore, India, 2017-2019.
  • B.Tech, Electronics and Instrumentation, GITAM University, Hyderabad, India, 2012-2016.

👨‍💼 Experience

  • Assistant Professor, Department of Artificial Intelligence and Machine Learning, Malla Reddy University, Hyderabad, India (2024-present).
  • LabVIEW Software Trainee, Optomech Engineers Pvt. Ltd., Hyderabad, India (2018-2019).

🔍 Research Interests

Dr. Kumar’s research interests include image processing, deep learning, machine learning, neuroimaging, biomedical imaging, and artificial intelligence applications in healthcare.

🏆 Award

  • Deep Learning Award, NPTEL.
  • Machine Learning Award, Coursera.
  • MATLAB on-ramp Award, MathWorks.

📄 Publications

Vinit Katariya | Deep Learning | Best Researcher Award

Posted on by Academic achievements

Dr. Vinit Katariya | Deep Learning | Best Researcher Award

Post Doctoral Researcher | University of North Carolina at Charlotte | United States

Short Bio 🌐

Vinit Katariya is a Machine Learning Researcher based in Charlotte, NC. His expertise spans machine learning modeling and algorithm design, with a focus on Python, C, and frameworks like PyTorch. He is dedicated to solving complex, large-scale problems with real-world impact.

Profile

Google Scholar

Education 📚

Vinit Katariya earned his Doctor of Philosophy in Electrical Engineering from the University of North Carolina at Charlotte in December 2023, under the guidance of Dr. Hamed Tabkhi. His research focused on innovative applications of deep learning in transportation and IoT systems.

Experience 💼

As a Postdoctoral Researcher at UNC Charlotte, Vinit leads projects on speed estimation and smart city solutions, collaborating with international teams to enhance real-world video analytics and transportation efficiency.

Research Interest 🧠

Vinit Katariya’s research interests include deep learning applications in transportation safety, IoT edge computing, and anomaly detection using AI frameworks on embedded platforms.

Awards 🏆

  • Best Demo Award – ICCPS 2023
  • UNC Charlotte Graduate School Summer Scholarship – May 2022

Publications 📄

Vinit Katariya has co-authored articles in high-impact journals and conferences, including:

 

 

 

Monika Nagy-Huber | Machine Learning | Best Researcher Award

Posted on by Academic achievements

Mrs. Monika Nagy-Huber | Machine Learning | Best Researcher Award

Ms. Universität Basel, Switzerland

Monika Timea Nagy-Huber is currently pursuing a PhD in Computer Science at the University of Basel, specializing in Physics-informed Machine Learning Algorithms under the supervision of Prof. Dr. Volker Roth in the Biomedical Data Analysis research group. She earned her Master of Science in Mathematics from the same university, focusing on Numerics (Partial Differential Equations for Wave Equations) and Algebra-Geometry-Number Theory (Elliptic Curves). Her master’s thesis, titled “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation,” received a grade of 5.5. Monika also holds a Bachelor of Science in Mathematics from the University of Basel, completed in 2016.

Profile

Google scholar

Personal Data 🌐

Last Name: Nagy-Huber
First Name: Monika Timea
E-Mail: monika.nagy@unibas.ch
Nationality: Swiss

University Education 🎓

PhD in Computer Science, University of Basel
09/2019 – Present

Supervisor: Prof. Dr. Volker Roth

Research Group: Biomedical Data Analysis

Specialization: Physics-informed Machine Learning Algorithms

Master of Science in Mathematics, University of Basel
02/2016 – 02/2019

Areas of Specialization: Numerics (Partial Differential Equations for Wave Equations), Algebra-Geometry-Number Theory (Elliptic Curves)

Master’s Thesis: “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation”

Grade: 5.5

Supervisor: Prof. Dr. Marcus J. Grote

Bachelor of Science in Mathematics, University of Basel
09/2011 – 02/2016

Publications:

The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity

CITED BY 17

Learning invariances with generalised input-convex neural networks

CITED BY 5

Mesh-free Eulerian Physics-Informed Neural Networks

CITED BY 1

Mesh-free Eulerian physics-informed neural networks

CITED BY 1