Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

Assistant Professor at king fahd university of petroleum and minerals, Saudi Arabia

Assist. Prof. Dr. Ammar Alsheghri is a distinguished academic and researcher specializing in materials and mechanical engineering. He currently serves as an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. Dr. Alsheghri earned his Ph.D. in Materials Engineering from McGill University, Canada, in 2020, following his Master’s in Mechanical Engineering from Khalifa University in collaboration with MIT, and a Bachelor’s degree from Khalifa University, UAE. His research spans bioinspired materials design, geometric deep learning, and the optimization of materials for prosthetics and medical applications. He has extensive experience in academia and industry, contributing to innovative projects and holding patents in dental restoration technologies. Dr. Alsheghri’s work is highly recognized through numerous fellowships, scholarships, and awards for research excellence.

Profile:

Education:

Assist. Prof. Dr. Ammar Alsheghri holds a Ph.D. in Materials Engineering from McGill University, Canada, which he completed in May 2020 with a perfect GPA of 4.0/4.0. During his Ph.D., he was awarded the prestigious Graduate Excellence Fellowship. He earned his Master of Science in Mechanical Engineering from the Masdar Institute of Science and Technology, Khalifa University, UAE, in collaboration with the Massachusetts Institute of Technology (MIT), USA, in May 2015, also achieving a GPA of 4.0/4.0. Dr. Alsheghri obtained his Bachelor of Science in Mechanical Engineering from Khalifa University, UAE, in June 2013, graduating with the highest honors and an impressive GPA of 3.98/4.0.

Professional Experience:

Assist. Prof. Dr. Ammar Alsheghri has an extensive professional background in both academia and industry. Currently, he is an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, a position he has held since August 2023. Prior to this, he served as a Postdoctoral Fellow at Polytechnique Montreal from 2020 to 2022, where he worked on geometric deep learning for dental applications, collaborating with industrial partners to develop customized dental crowns. Dr. Alsheghri also contributed as a Research Assistant at McGill University from 2015 to 2020, where his thesis focused on bioinspired design and optimization of materials for dentures and cellular structures. He has previous experience as a Research Assistant at Masdar Institute of Khalifa University, working on self-healing materials using finite element analysis. In addition to his academic roles, Dr. Alsheghri has substantial industrial experience. He was a Technology Developer at Dragonfly, part of the Comet Group, from 2022 to 2023, focusing on AI-driven scientific imaging and software development. He also worked as a Research & Development Consultant and Intern at Dragonfly, leading projects involving artificial intelligence for material image processing and mechanical properties analysis. His industry roles also include an internship at Diehl Aircabin GmbH in Germany, where he performed stress analysis for the Airbus A380 ceiling and assisted with composite material testing.

Research Interests:

Assist. Prof. Dr. Ammar Alsheghri’s research interests are deeply rooted in the intersection of materials engineering, mechanical engineering, and cutting-edge technologies such as artificial intelligence. His work focuses on bioinspired design and optimization of materials, particularly for dental applications, including the development of dentures and customized prosthetic structures. Dr. Alsheghri is also highly engaged in the field of geometric deep learning, specifically 3D deep learning for applications in dental segmentation and the generation of dental crowns from scanned dental arches. His expertise extends to self-healing materials, mechanics modeling, and finite element analysis (FEA), which he has applied to enhance the structural properties of materials. Additionally, he is interested in AI-driven image processing and computational mechanics, applying these techniques to scientific imaging and material analysis, with the aim of optimizing mechanical properties and structures for various engineering applications.

Skills:

Assist. Prof. Dr. Ammar Alsheghri possesses a diverse and advanced skill set that spans both academia and industry. He is highly proficient in materials engineering, with expertise in bioinspired design and optimization of materials, specifically for dental and prosthetic applications. Dr. Alsheghri excels in finite element analysis (FEA) and computational mechanics, which he has applied to projects involving self-healing materials and lightweight structures. He is also skilled in computer-aided design (CAD) and 3D modeling, having worked on the design and development of dental prostheses and optimized cellular structures. In addition, Dr. Alsheghri has strong capabilities in artificial intelligence, particularly in geometric deep learning and 3D deep learning, which he has applied to the segmentation of dental structures and the design of customized dental crowns. He is experienced in data analysis, image processing, and the use of AI for scientific imaging. His skills in laboratory testing and materials characterization complement his technical expertise, allowing him to contribute to multidisciplinary research and development efforts.

Conclusion:

With an outstanding academic record, a strong research portfolio, multiple patents, and a track record of successful collaborations in both academia and industry, Dr. Ammar Alsheghri stands out as a highly qualified candidate for the Best Researcher Award. His interdisciplinary expertise, particularly in materials engineering, AI, and bioinspired design, positions him as a leader in advancing research and technology in both mechanical and biomedical engineering fields.

Publication Top Noted:

  • Removable partial denture alloys processed by laser‐sintering technique
    • Authors: O Alageel, MN Abdallah, A Alsheghri, J Song, E Caron, F Tamimi
    • Journal: Journal of Biomedical Materials Research Part B: Applied Biomaterials
    • Volume/Issue: 106(3)
    • Pages: 1174-1185
    • Year: 2018
    • DOI: 10.1002/jbm.b.33910
  • Design and cost analysis of a solar photovoltaic powered reverse osmosis plant for Masdar Institute
    • Authors: A Alsheghri, SA Sharief, S Rabbani, NZ Aitzhan
    • Journal: Energy Procedia
    • Volume: 75
    • Pages: 319-324
    • Year: 2015
    • DOI: 10.1016/j.egypro.2015.07.439
  • Finite element implementation and application of a cohesive zone damage-healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Engineering Fracture Mechanics
    • Volume: 163
    • Pages: 1-22
    • Year: 2016
    • DOI: 10.1016/j.engfracmech.2016.05.020
  • High strength brushite bioceramics obtained by selective regulation of crystal growth with chiral biomolecules
    • Authors: H Moussa, W Jiang, A Alsheghri, A Mansour, A El Hadad, H Pan, R Tang, …
    • Journal: Acta Biomaterialia
    • Volume: 106
    • Pages: 351-359
    • Year: 2020
    • DOI: 10.1016/j.actbio.2020.01.004
  • Composition and characteristics of trabecular bone in osteoporosis and osteoarthritis
    • Authors: I Tamimi, ARG Cortes, JM Sánchez-Siles, JL Ackerman, …
    • Journal: Bone
    • Volume: 140
    • Pages: 115558
    • Year: 2020
    • DOI: 10.1016/j.bone.2020.115558
  • Thermodynamic-based cohesive zone healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Mechanics Research Communications
    • Volume: 70
    • Pages: 102-113
    • Year: 2015
    • DOI: 10.1016/j.mechrescom.2015.09.007
  • Determining the retention of removable partial dentures
    • Authors: O Alageel, AA Alsheghri, S Algezani, E Caron, F Tamimi
    • Journal: Journal of Prosthetic Dentistry

Vipin Bansal | Artificial Intelligence | Best Scholar Award

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Mr. Vipin Bansal | Artificial Intelligence | Best Scholar Award

Research scholar at Chandigarh University, India

Summary:

Mr. Vipin Bansal, based in Gurgaon, India, boasts over 19 years of experience in the IT industry, with a significant focus on artificial intelligence and machine learning. His career has been marked by leadership roles in diverse customer and research projects, particularly in hyperparameter tuning, model optimization, and advanced imagery data analysis. Mr. Bansal has a robust background in generative architectures, including GANs and vision transformers, and is skilled in Explainable AI techniques such as LIME and Grad-CAM. Currently pursuing a PhD in Explainable AI at Chandigarh University, he has held notable positions at Cognizant, Molnlycke HealthCare, and Altran, contributing to impactful solutions across sectors including healthcare and automotive. His expertise spans deep neural architectures, cloud services, and MLOps, underscoring his broad capabilities in developing and deploying sophisticated AI solutions.

 

Profile:

Education:

Mr. Vipin Bansal is currently pursuing a PhD in Explainable AI from Chandigarh University, Punjab, India, reflecting his commitment to advancing the field of artificial intelligence. He holds a Master in Computer Application from Birla Institute of Technology, Ranchi, India, where he completed his studies in 2004. His ongoing doctoral research underscores his dedication to exploring and enhancing AI technologies, particularly in the domain of Explainable AI.

Professional Experience:

Mr. Vipin Bansal currently serves as a Senior Engineering Manager at Cognizant in Gurgaon, India, where he leads the development and deployment of advanced Computer Vision AI solutions. His role involves assisting clients with Azure cloud infrastructure, automating data preparation, and overseeing model training processes. He is responsible for implementing automated pipelines for model deployment, managing computer vision use cases like object detection and segmentation, and leading a team of Data Scientists. Prior to this, he worked as an AI-ML Engineer at Molnlycke HealthCare in Gothenburg, Sweden, where he developed business applications including customer segmentation and sales prediction models, and established Azure cloud pipelines. Mr. Bansal’s earlier experience as a Principal System Engineer at Altran involved creating solutions utilizing geo-location vehicle data and exploring AI ML techniques for data quality analysis and anomaly detection in automotive applications. His work spans across healthcare, automotive, and commercial domains, demonstrating his extensive expertise in AI and machine learning technologies.

Research Interests:

Mr. Vipin Bansal’s research interests lie at the forefront of artificial intelligence and machine learning, with a particular focus on advanced methodologies in hyperparameter tuning, model optimization, and generative architectures. He has extensively explored diverse imagery data models to address segmentation and object detection challenges. His research delves into various generative models, including GANs, diffusion models, and vision transformers, with a keen emphasis on anomaly detection. Additionally, Mr. Bansal is proficient in Explainable AI (XAI) techniques such as LIME, LRP, and Grad-CAM, which enhance the interpretability of machine learning models. His work also encompasses MLOps practices, leveraging cloud services from AWS and Azure to develop scalable AI solutions. His contributions span across healthcare, automotive, and commercial sectors, where he applies his research to create impactful AI-driven solutions.

Skills:

Mr. Vipin Bansal possesses a diverse and advanced skill set in the field of artificial intelligence and machine learning. He is adept at utilizing frameworks such as TensorFlow, Keras, Scikit-learn, and AutoKeras for developing and deploying machine learning models. His expertise extends to deep neural architectures, including DNN, RNN, LSTM, CNN, GCN, and various generative models such as GANs and diffusion architectures. Proficient in Python, Matlab, and C++, Mr. Bansal is skilled in employing tools and technologies like Azure and AWS for MLOps and cloud-based solutions. His capabilities also encompass advanced AI techniques, including semantic segmentation, object detection, and recommendation systems. With experience in GPU and CPU computing, distributed systems, and agile methodologies, he is well-versed in setting up and managing complex data and model pipelines. His comprehensive knowledge of Explainable AI (XAI) techniques, configuration management with Git, and utilization of platforms like Jupyter and Google Collaboratory further underscore his technical proficiency and versatility.

Conclution:

Mr. Vipin Bansal is a highly qualified candidate for the Research for Best Scholar Award. His extensive experience, innovative contributions to AI and machine learning, and leadership in developing advanced solutions across various sectors underscore his suitability for this prestigious recognition. His ongoing research in Explainable AI and successful track record in deploying impactful AI solutions make him a standout candidate for this award.

Publication Tob Noted:

Title: Diabetic Retinopathy Detection through Generative AI Techniques: A Review

Authors: Bansal, V., Jain, A., Kaur Walia, N.

Journal: Results in Optics, 2024, Volume 16, Article 100700

 

Enas Alqodsi | Artificial Intelligence | Top Researcher Award

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Dr. Enas Alqodsi | Artificial Intelligence | Top Researcher Award

Assistant professor of private law at United Arab Emirates University, Ukraine

Summary:

Dr. Enas Mohammed Alqodsi is an accomplished legal scholar and educator with over 20 years of experience in civil law. She is currently an Associate Professor at the College of Law, United Arab Emirates University. Dr. Alqodsi has previously held significant positions, including General Coordinator of the College of Law at UAEU and Associate Professor of Civil Law at Abu Dhabi University and Palestine University. Additionally, she served as a Legal Advisor for the Supreme Court and the Supreme Judicial Council in Palestine. Dr. Alqodsi has an impressive research portfolio, having published 21 papers in international peer-reviewed journals listed in Scopus and authored four books. She has actively participated in six international conferences and has secured research grants from prestigious institutions. In her teaching career, Dr. Alqodsi has taught numerous undergraduate and graduate courses, supervised multiple Master’s theses, and guided over 100 undergraduate research projects. She has also contributed significantly to academic service by serving on various university committees, organizing workshops, and reviewing papers for Scopus-indexed journals.

Profile:

Education:

Dr. Enas Mohammed Alqodsi holds an impressive educational background that has laid a solid foundation for her distinguished career in law. She earned her Ph.D. in Civil Law from Cairo University, where she conducted extensive research and produced significant scholarly work. Prior to her doctoral studies, Dr. Alqodsi completed her Master’s degree in Civil Law at the same institution, demonstrating a consistent commitment to academic excellence and legal scholarship. Her educational journey began with a Bachelor’s degree in Law from Al-Quds University, where she graduated with honors. This diverse and rigorous academic training has equipped Dr. Alqodsi with profound expertise and a deep understanding of civil law, enabling her to contribute significantly to both academia and legal practice.

Professional Experience:

Dr. Enas Mohammed Alqodsi boasts over 20 years of extensive professional experience in the field of law. She is currently serving as an Assistant Professor at the College of Law, United Arab Emirates University. She has previously held the position of Associate Professor and General Coordinator at the College of Law, Abu Dhabi University. Dr. Alqodsi also served as a Professor of Civil Law at the College of Law and Judicial Practices, Palestine, and worked as a Legal Advisor for the Supreme Court, Higher Judicial Council in Palestine. Her academic contributions include teaching 18 undergraduate and 5 master’s courses in law, supervising 8 master’s theses and over 109 undergraduate research projects, and publishing 21 research papers in international peer-reviewed journals indexed in Scopus. Additionally, she has authored 4 books and presented at 6 international conferences. Dr. Alqodsi’s extensive service record includes chairing and participating in 43 committees at Abu Dhabi University and UAE University, reviewing 28 research papers for Scopus-indexed journals, and organizing 43 workshops for educational and academic purposes.

Research Interest:

Dr. Enas Mohammed Alqodsi’s research interests span various critical aspects of civil law. She has a profound focus on the intricacies of contractual obligations, liability, and compensation within civil law frameworks. Dr. Alqodsi is also deeply invested in exploring the intersections of civil law with human rights, aiming to enhance the legal protections available to individuals. Her work often delves into the comparative analysis of legal systems, evaluating how different jurisdictions approach similar legal issues. Furthermore, she is interested in the legal aspects of technological advancements and their impact on civil law. Dr. Alqodsi’s extensive publication record and active participation in international conferences underscore her commitment to advancing legal scholarship and contributing to the development of civil law.

Award and Honors:

Dr. Enas Mohammed Alqodsi has received numerous awards and honors throughout her distinguished academic and professional career. She has been recognized for her outstanding contributions to legal scholarship and education with several accolades, including the Best Researcher Award from the United Arab Emirates University and the Excellence in Teaching Award from Abu Dhabi University. Her innovative research has garnered financial support from prestigious institutions, including multiple research grants from both Abu Dhabi University and the United Arab Emirates University. Additionally, Dr. Alqodsi has been honored for her exceptional service and leadership within the academic community, serving on numerous committees and contributing to the organization of international conferences. Her recognition as a leading legal scholar is further evidenced by her inclusion in prominent academic databases such as Scopus and her membership in the editorial boards of several esteemed legal journals.

Research Skills:

Dr. Enas Mohammed Alqodsi possesses a comprehensive set of research skills honed over years of academic and professional experience. She excels in legal research, with a particular focus on civil law. Her expertise includes the ability to conduct in-depth legal analysis and interpretation, draft detailed and precise legal documents, and apply various legal theories to real-world cases. Dr. Alqodsi is proficient in utilizing advanced research methodologies and tools, including qualitative and quantitative analysis, which enables her to produce rigorous and impactful research. Her experience is demonstrated by her extensive publication record, including 21 peer-reviewed articles in international journals indexed in Scopus, and the authorship of four books. She is skilled in securing research funding, having successfully obtained financial support for her research projects from prestigious institutions such as Abu Dhabi University and the United Arab Emirates University. Additionally, Dr. Alqodsi has a proven track record of presenting her research at international conferences, contributing to the global discourse on civil law. Furthermore, Dr. Alqodsi is adept at supervising and mentoring students in their research endeavors, having supervised numerous master’s theses and undergraduate research projects. Her editorial skills are also notable, as she serves on the editorial boards of several respected legal journals, where she reviews and evaluates research submissions, ensuring the quality and integrity of published work.

Publication:

Teacher Civil Liability in the Case of Breaching Educational and Control Obligations

  • Authors: E. Alqodsi
  • Book/Chapter: Restructuring Leadership for School Improvement and Reform
  • Pages: 327-338
  • Year: 2023

Legal Protection of the Right to Education for People with Special Needs: Zayed Higher Organization for People of Determination as a Model

  • Authors: E.M. Alqodsi, S.A. Aljahoori
  • Book/Chapter: Inclusive Phygital Learning Approaches and Strategies for Students With…
  • Pages: 14
  • Year: 2023

Technology-Enhanced Legal Education: A Study of Its Impact on Student Learning Outcomes in the UAE

  • Authors: E.M. Alqodsi, I.M. Jadalhaq, M.E.H. Maknouzi
  • Book/Chapter: Innovations in Teacher Development, Personalized Learning, and Upskilling
  • Pages: 14
  • Year: 2023

Civil Liability for Misuse of Online Communication through Websites: An Analytical Study of UAE Law

  • Authors: I.M. Jadalhaq, E.M. Alqodsi
  • Journal: Information & Communications Technology Law
  • Volume: 27
  • Issue: 3
  • Pages: 284-303
  • Year: 2018

The Right to Pre-Contractual Information in E-Commerce Consumer Contracts: UAE Law and Comparative Perspectives

  • Authors: E.M. Alqodsi
  • Journal: J. Legal Ethical & Regul. Isses
  • Volume: 24
  • Pages: 1
  • Year: 2021

High Tech and Legal Challenges: Artificial Intelligence-Caused Damage Regulation

  • Authors: E.M. Alqodsi, D. Gura
  • Journal: Cogent Social Sciences
  • Volume: 9
  • Issue: 2
  • Pages: 2270751
  • Year: 2023

Islamic Commercial Arbitration and Private International Law: Mapping Controversies and Exploring Pathways towards Greater Coordination

  • Authors: M.E.H. El Maknouzi, I.M. Jadalhaq, I.E. Abdulhay, E.M. Alqodsi
  • Journal: Humanities and Social Sciences Communications
  • Volume: 10
  • Issue: 1
  • Pages: 1-8
  • Year: 2023

A Systematic Reviews and Meta-Analyses of Interruption of the Statute of Limitations for Civil Claims: A Comparative Study of Arab Legislations

  • Authors: I.M. Jadalhaq, I.E. Abdulhay, E.M. Alqodsi, M.E.H. El Maknouzi
  • Journal: Heliyon
  • Volume: 9
  • Issue: 6
  • Year: 2023

Analyzing the Implementation of Usufruct Rights and Obligations in the UAE Civil Transactions Law

  • Authors: E.M. Alqodsi
  • Journal: International Journal of Criminal Justice Sciences
  • Volume: 16
  • Issue: 2
  • Year: 2021

Tort Law Makes a Quantum Leap: A Review of the Civil Liability Regime for Nuclear Operators in UAE Law

  • Authors: I.M. Jadalhaq, E.M. Alqodsi
  • Journal: Journal of Property, Planning and Environmental Law
  • Volume: 13
  • Issue: 1
  • Pages: 17-30
  • Year: 2021