Mourad Khayati | Data Quality | Best Researcher Award

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Dr. Mourad Khayati | Data Quality | Best Researcher Award

University of Fribourg | Switzerland

Publication Profile

Orcid

🌟 EARLY ACADEMIC PURSUITS 

Dr. Mourad Khayati began his academic journey with a solid foundation in computer science, obtaining his MSc in 2007 from the University of Jendouba (Tunisia) and INSA-Lyon (France). His passion for data analytics led him to pursue a PhD in Computer Science from the University of Zürich (Switzerland), where he earned his doctorate in 2015 under the guidance of Prof. Michael H. Böhlen. His early research explored matrix decomposition techniques, particularly in recovering missing values in time series data, an area that would become central to his career. 🎓

🏢 PROFESSIONAL ENDEAVORS AND ACADEMIC LEADERSHIP 

Currently a Senior Lecturer at the University of Fribourg in Switzerland, Dr. Khayati is involved in cutting-edge research and teaching. His expertise spans data analytics, time series repair, benchmarking, and IoT analytics. Over the years, he has not only contributed to significant advancements in these fields but also played an essential role in mentoring the next generation of computer scientists. As a co-supervisor for PhD students and a supervisor for MSc and BSc theses, his leadership in the academic community is evident. 🏫

💡 CONTRIBUTIONS AND RESEARCH FOCUS 

Dr. Khayati’s research focuses on enhancing data analytics with repair functionalities, especially in handling “dirty” data. His work in the field of time series repair, IoT analytics, and benchmarking has provided novel methodologies for improving the accuracy and reliability of data. His contributions have extended to European projects such as the FashionBrain project, where he led the technical efforts to analyze Europe’s vast fashion data universe. Through the development of tools like ImputeBench and the ORBITS framework, Dr. Khayati has pushed the boundaries of data repair, helping businesses and researchers leverage incomplete data effectively. 📊

🌍 IMPACT AND INFLUENCE 

Dr. Khayati’s work has had significant real-world applications. His research in missing data recovery has been applied in diverse fields, from fashion trend prediction to environmental hazard forecasting. His innovative tools have not only shaped academic research but have also influenced data-driven industries, highlighting the value of accurate, repaired datasets. Through collaborations and workshops, Dr. Khayati has spread knowledge on the importance of data integrity and the repair process across global academic and industrial forums. 🌐

🏆 ACADEMIC CITATIONS AND RECOGNITION 

Dr. Khayati’s research has received widespread acclaim, evidenced by his numerous high-impact publications. His work on time series data repair has been published in prestigious journals such as VLDB, IEEE, and the Journal of Knowledge and Information Systems. With a solid record of conference presentations and awards (including the Best Experiments and Analysis Paper Award at PVLDB’20), Dr. Khayati’s contributions are frequently cited by peers, solidifying his reputation as a thought leader in the field. 🏅

💼 LEGACY AND FUTURE CONTRIBUTIONS 

Looking forward, Dr. Khayati’s research continues to evolve, focusing on more efficient and scalable data repair solutions. With his ongoing supervision of PhD and MSc students and involvement in international collaborations, his legacy in the field of data science is secure. His ongoing projects promise to address new challenges, such as multimodal data repair and handling extreme-scale time series data, ensuring his continued influence on the future of data analytics. 🔮

🔑 KEY MILESTONES AND ACHIEVEMENTS 

  • ProvDS Project: Dr. Khayati led a project funded by the Swiss National Science Foundation (SNSF), exploring uncertain provenance management over incomplete linked data, a critical advancement for data provenance and reliability.
  • FashionBrain Project: As the technical lead, Dr. Khayati made significant contributions to understanding Europe’s fashion data universe, combining research and industry application.
  • Awards & Distinctions: He has received several awards for his work, including the Chair Award at ICWE’16 and the Excellence MSc Scholarship from the Tunisian Ministry of Education.
  • Influence in Academic Service: Serving as a committee member for PhD defenses, program committee member for renowned conferences, and as a reviewer for top-tier journals, Dr. Khayati actively shapes the academic landscape.

Publication Top Notes

ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
    • Authors: Mourad Khayati, Quentin Nater, Jacques Pasquier
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
    • Authors: Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
A survey of multimodal event detection based on data fusion
    • Authors: Manuel Mondal, Philippe Cudré-Mauroux, Hông-Ân Sandlin, Philippe Cudré-Mauroux
    • Journal: The VLDB Journal
    • Year: 2024-12-15 🗓️
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    • Authors: Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2023-07 🗓️
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
    • Authors: Mourad Khayati
    • Journal: WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia
    • Year: 2021 🗓️

 

Fabrizia Devito | Data Quality Enhancement | Women Researcher Award

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Dr. Fabrizia Devito | Data Quality Enhancement | Women Researcher Award 

Dr. Fabrizia Devito , Politecnico di Bari, Italy.

Publication Profile

Orcid
Scopus

Summary 🌍

A passionate researcher in Additive Manufacturing (AM) 🖨️, AI 🤖, and sustainability 🌱. With experience across international academic institutions 🌍, Fabrizia has worked on cutting-edge projects in manufacturing technology ⚙️ and energy systems 🔋, striving to improve production processes and environmental impact 🌎.

Education 🎓

  • Ph.D. Student in Sustainable Development & Climate Change 🌱, Polytechnic of Bari, Italy (2021-2025)
  • Master’s Degree in Management Engineering (Operations Management) ⚙️, Polytechnic of Bari, Italy (2021)
  • Bachelor’s Degree in Management Engineering, Polytechnic of Bari, Italy (2019)
  • Sustainable Development & Climate Change at IUSS-Scuola Universitaria Superiore, Pavia, Italy (2021-2024)

Professional Experience 💼

  • Researcher at Vantia S.r.l. (Spin-Off University of Bari) 🔬, Bari, Italy (2024–Present)
  • Research Assistant at University of Cantabria, Spain 🇪🇸 (2024)
  • Research Assistant at University of Sharjah, UAE 🇦🇪 (2022)
  • Internships at Jaggaer Academy and Fincons S.p.A. 🏢 (2021), and Polytechnic of Bari 🏛️ (2019)

Academic Citations 📚

  • Co-author of research on Additive Manufacturing and sustainable processes at Polytechnic of Bari 📝 (2021-Present)
  • Presentation at IFAC/INSTICC IN4PL 2024 (Porto, Portugal) 🇵🇹 and Global Conference on Sustainable Manufacturing 2023 🌍

Technical Skills 💻

  • Software: AutoCAD 🖥️, Solidworks ⚙️, MATLAB 📊, Python 🐍, Ansys 🏗️, CAE Tools, Rhinoceros 🦏, and more
  • Engineering & Energy Modeling: SimaPro 🌱, OpenLCA ♻️, Zenon, and CYPELUX 🔋
  • Programming: C, C++, Python, Arduino 🖧
  • Simulation & Optimization: Discrete & Continuous Simulation, Finite Element Analysis 🧑‍💻
  • Other Tools: Weka, PostgreSQL, Minitab 📈, RStudio, and more

Teaching & Research Interests On Data Quality Enhancement 🔬

  • Additive Manufacturing 🖨️, AI in Manufacturing 🤖, Sustainable Energy Solutions 🌞
  • Circular Economy ♻️ & Recycling in Additive Manufacturing 🔄
  • Energy System Modeling & Optimization 🔋
  • Machine Learning 📊 applications in Process Optimization

Extracurricular Activities ⚽️

  • Sports: Rowing 🚣‍♀️, Sailing ⛵, Yoga 🧘‍♀️
  • Hobbies: 3D Printing 🖨️, Robotics 🤖, AI 🤖, and Material Engineering 🧪
  • Leadership: Class representative 🗣️ during high school (2015-2016)

Publication Top Notes

Causal technological model for predicting void fraction and energy consumption in material extrusion process of polylactic acid
    • Authors: 🧑‍🔬 Devito, Mazzarisi, Dassisti, Lavecchia
    • Journal: 📚 Journal of Manufacturing Processes
    • Year: 📅 2024
Notch Effect in Acrylonitrile Styrene Acrylate (ASA) Single-Edge-Notch Bending Specimens Manufactured by Fused Filament Fabrication
    • Authors: 🧑‍🔬 Cicero, Devito, Sánchez, Arrieta, Arroyo
    • Journal: 📚 Materials (MDPI)
    • Year: 📅 2024
Business Models and Advanced Additive Manufacturing strategies for better sustainability
    • Authors: 🧑‍🔬 Devito, Copani, Natalicchio, Al-Alami, Lavecchia, Olabi, Dassisti
    • Journal: 📚 Energy Nexus
    • Year: 📅 2024
Advancing Sustainability in Electron and Laser Beam Powder Bed Fusion Technologies via Innovation: Insights from Patent Analysis
    • Authors: 🧑‍🔬 Devito, Natalicchio, Lavecchia, Dassisti
    • Journal: 📚 Computers & Industrial Engineering
    • Year: 📅 2024
In-process detection of defects on parts produced by laser metal deposition using off-axis optical monitoring
    • Authors: 🧑‍🔬 Mazzarisi, Guerra, Latte, Devito, Galantucci, Campanelli, Lavecchia, Dassisti
    • Journal: 📚 International Journal of Advanced Manufacturing Technology
    • Year: 📅 2023
Recent developments of Additive Manufacturing for circular economy
    • Authors: 🧑‍🔬 Devito, Al-Alami, Olabi, Lavecchia, Dassisti
    • Journal: 📚 Journal of Cleaner Production
    • Year: 📅 2024

JunYun Zhang | Data Quality | Best Researcher Award

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Dr. JunYun Zhang l Data Quality | Best Researcher Award

Peking University, China

Author Profile

Scopus

👨‍🔬 Dr. JunYun Zhang – Academic Profile

Dr. JunYun Zhang is an Associate Professor at the School of Psychological and Cognitive Sciences at Peking University, China. He has been a key figure in the academic world since 2012, holding various positions, including Assistant Professor at Peking University and a visiting scholar/postdoc at the University of California, Berkeley. His diverse career also includes a lecturer role at the Institute of Cognitive Neuroscience & Learning, Beijing Normal University.

🎓 Educational Background

Dr. Zhang completed his Ph.D. in Neurobiology from the Institute of Neuroscience, Chinese Academy of Sciences, where he worked under the mentorship of Cong Yu. His academic journey began with a B.S. in Special Education from East China Normal University, laying the foundation for his future research in cognitive sciences.

🧠 Research Interests

His primary research areas encompass visual perception and cognition, as well as learning and memory. Notably, Dr. Zhang explores topics such as perceptual learning, amblyopia (a visual disorder), and visual crowding, where he investigates how the brain processes and learns visual stimuli, even in challenging conditions.

💡 Research Grants

Dr. Zhang has received several prestigious grants, including significant funding from the Natural Science Foundation of China for projects spanning 2024 to 2027, 2020 to 2023, and earlier years. These grants support his ongoing research into visual perception and learning mechanisms.

🎤 Conference Presentations & Moderation

Dr. Zhang has actively contributed to numerous conferences, where he not only presents his work but also moderates sessions. He has been a part of invited symposia and workshops worldwide, including events in Geneva, Switzerland, and Nara, Japan. His conference talks span high-profile events such as the Vision Science Society and European Conference on Visual Perception.

⚙️ Professional Activities

Dr. Zhang plays a vital role in the academic community through editorial duties. He is an Associate Editor for Frontiers in Psychology – Consciousness Research and reviews for multiple prestigious journals like Vision Research and PLOS One. He is a member of renowned organizations such as the Vision Sciences Society and the Society for Neuroscience.

📚 Teaching Contributions

Dr. Zhang’s commitment to education is evident through his involvement in both undergraduate and graduate courses. He teaches a variety of subjects, including Vision & Visual Arts, Experimental Psychology, and Perceptual Learning, and has developed specialized graduate courses on research methods and perceptual processing. His passion for cognitive sciences and his experience continue to inspire future generations of researchers.

Dr. Zhang is a dedicated scholar, deeply engaged in both research and teaching, with a significant impact in the fields of visual perception and cognitive neuroscience. 🌍

📖 Top Noted Publications 

Feature variability determines specificity and transfer in multiorientation feature detection learning

Authors: Zhu, J.-P., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2024

Contour integration deficits at high spatial frequencies in children treated for anisometropic amblyopia

Authors: Jiang, S.-Q., Chen, Y.-R., Liu, X.-Y., Zhang, J.-Y.
Journal: Frontiers in Neuroscience
Year: 2023

The impact of training on the inner–outer asymmetry in crowding

Authors: Chen, Y.-R., Zhang, Y.-W., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2023

Dichoptic perceptual training in children with amblyopia with or without patching history

Authors: Liu, X.-Y., Zhang, Y.-W., Gao, F., Chen, F., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2021

Dichoptic de-masking learning in adults with amblyopia and its mechanisms

Authors: Liu, X.-Y., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2019

Vernier learning with short- and long-staircase training and its transfer to a new location with double training

Authors: Zhang, J.-Y., Yu, C.
Journal: Journal of Vision
Year: 2018

Rahul Pratap Singh | Data Analysis | Best Researcher Award

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Dr. Rahul Pratap Singh | Data Analysis | Best Researcher Award

Dr. Rahul Pratap Singh at Veer Bahadur Singh Purvanchal University Jaunpur, India

👨‍🎓 Profile

👤 Summary

Dr. Rahul Pratap Singh is a dedicated physicist specializing in semiconducting and magnetic nanomaterials. His research focuses on their synthesis, characterization, and industrial applications, utilizing advanced spectroscopic techniques and electron microscopy.

🎓 Education

Dr. Singh holds a PhD in Physics from Veer Bahadur Singh Purvanchal University, where he investigated semiconducting nanomaterials and their industrial applications. He completed his M.Sc. and B.Sc. in Physics & Maths at Pratap Bahadur Post Graduate College, and his schooling in Science and Mathematics at Government Inter College, Pratapgarh.

💼 Professional Experience

He has taught both undergraduate and postgraduate courses at S.V.M. Science and Technology Post Graduate College since 2016, with additional experience at B.N.S. Post Graduate College in 2017-2018.

🔧 Technical Skills

Dr. Singh is skilled in the synthesis and characterization of nanomaterials, as well as various spectroscopic techniques (IR, Raman, XRD) and electron microscopy (SEM, TEM).

🔬 Research Interests

His research interests include the synthesis and characterization of semiconducting and magnetic nanomaterials, as well as 2D materials, focusing on their potential industrial applications.

 

📖 Top Noted Publications 

Humidity sensing study of cobalt-doped cadmium sulphide nanomaterials
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala Bhardwaj, Kuwar Ankur Singh, B. C. Yadav, Prof. Santosh Kumar
    • Journal: Journal of Solid State Electrochemistry
    • Year: 2023
Synthesis and Characterization of Manganese Doped Zinc Ferrite for its Structural and Magnetic Properties
    • Authors: Avinash Chand Yadav, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Gulab Singh, Ajaz Hussain, Mukul Gupta, Aartee Sharma, Manvendra Kumar, Prof. Santosh Kumar
    • Journal: Iranian Journal of Science
    • Year: 2023
Synthesis of bismuth-doped praseodymium ortho ferrite nanomaterials for LPG sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Ajeet Singh, Bal Chandra Yadav, Manish Pratap Singh, Prof. Santosh Kumar
    • Journal: Applied Nanoscience
    • Year: 2023
Cobalt-doped praseodymium ortho ferrite as a promising nanomaterial for carbon dioxide gas sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Bala, Ajeet Singh, Bal Chandra Yadav, Prof. Santosh Kumar
    • Journal: Journal of Materials Chemistry C
    • Year: 2023
Nickel-Doped Cadmium Sulphide as a Promising Nanomaterials for Humidity Sensing Applications
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala, Kuwar Ankur Singh, B. C. Yadav, Santosh Kumar
    • Journal: Sensing and Imaging
    • Year: 2023
Synthesis of calcium doped zinc ferrite nanomaterial and its application as a humidity sensor
    • Authors: Prabhat Ranjan Tiwari, Rahul Pratap Singh, Keval Bharati, Avinash Chand Yadav, Bal Chand Yadav, Ajeet Singh, Manish Pratap Singh, Santosh Kumar
    • Journal: Journal of Dispersion Science and Technology
    • Year: 2023

Shazia Sabir – Cryptography – Best Researcher Award 

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Ms Shazia Sabir - Cryptography - Best Researcher Award 

Birla Institute of Technology Mesra - India

Author Profile:

Google Scholar

Early Academic Pursuits:

Shazia Sabir began her academic journey with a strong foundation in mathematics. She completed her Secondary School (X) from Islamia Urdu H/S Phulwarisarif with an impressive score of 80.2% in 2010. Her enthusiasm and dedication continued as she pursued her Senior Secondary (XII) education at BSEB Oriental College, Patna city, Patna, achieving a commendable score of 79.4% in 2012. Shazia's passion for mathematics became evident during her undergraduate studies, where she secured a Gold Medalist position in B.Sc (Mathematics Hons.) from Magadh Mahila College under Patna University, with a remarkable score of 90.25% in 2015.

Professional Endeavors:

Transitioning into the realm of higher education, Shazia continued to excel in her academic pursuits. In 2017, she completed her M.Sc (Mathematics) from Patna University, securing the second-topper position with an impressive percentage of 91.31%. This solid academic foundation laid the groundwork for her Ph.D. research at Birla Institute of Technology, Mesra, where she submitted her thesis in Mathematics. Under the mentorship of Dr. Vandana, Shazia delved deep into areas like cryptography, image security, and image processing, publishing several impactful papers in reputed journals.

Contributions and Research Focus:

Shazia Sabir's research primarily revolves around cryptography, particularly focusing on image security and image processing. Collaborating closely with her research supervisor, Dr. Vandana, she has contributed significantly to the field with multiple publications in renowned journals such as 'Multimedia Tools and Applications' and 'Computers and Electrical Engineering.' Her research encompasses topics like multilayer image encryption techniques, permutationsubstitution operations, and the application of RSA cryptosystems in image security.

Accolades and Recognition:

Shazia's academic achievements have been widely recognized and celebrated. Her exemplary performance during her undergraduate and postgraduate studies earned her the title of Gold Medalist and second-topper, respectively. Furthermore, she was honored as an Inspire Scholar from 2012 to 2017. Additionally, her publications in high-impact journals have solidified her reputation as a promising researcher in the field of cryptography and image security.

Impact and Influence:

Shazia Sabir's research has had a significant impact on the field of cryptography and image security. Her innovative approaches and methodologies have paved the way for enhanced image encryption techniques, ensuring greater security and confidentiality. Collaborative efforts with experts like Dr. Vandana have further amplified the influence of her work, fostering advancements in both theoretical and applied aspects of cryptography.

Legacy and Future Contributions:

As a dedicated Ph.D. Research Scholar at Birla Institute of Technology, Mesra, Shazia Sabir has already left an indelible mark on the academic community. Her legacy encompasses groundbreaking research, impactful publications, and a steadfast commitment to advancing the field of cryptography. Looking ahead, Shazia's future contributions are anticipated to further shape the landscape of image security, cryptography, and computational methods. With her expertise in programming languages like C, C++, and MATLAB, coupled with her profound knowledge of typesetting tools like LATEX and MS OFFICE, Shazia is well-equipped to continue making significant strides in her research endeavors.

Notable Publication: