Dr. Giuseppe D’Albis | Intelligenza Artificiale | Excellence in Research Award

Dr. Giuseppe D’Albis | Intelligenza Artificiale | Excellence in Research Award

Resident in Oral Surgery, University of Bari Aldo Moro, Italy

Giuseppe D’Albis is a dedicated dental professional with a strong academic background. Born on October 27, 1991, he has pursued various specializations in dentistry, including oral surgery, prosthodontics, and implantology. Currently, he is a resident in Oral Surgery at Bari Aldo Moro University. Giuseppe has participated in numerous scientific courses and conferences, showcasing his commitment to continuous learning and professional development.

Professional Profile

ORCID

🎓 Education

Giuseppe D’Albis has an impressive educational background in dentistry. He earned his Degree in Dentistry and Dental Prosthetics from the European University of Madrid. He then pursued multiple second-level master’s degrees in specialized fields, including Prosthodontics and New Technologies, Osseointegrated Implantology, Integrated Clinical Approach in Periodontology and Implantology, and Oral and Emergency Dental Surgery. His academic pursuits demonstrate his dedication to advancing his knowledge and skills in dentistry.

👩‍🏫 Experience

As a resident in Oral Surgery, Giuseppe D’Albis has gained valuable clinical experience in diagnosing and treating various oral health issues. He has participated in numerous training courses and conferences, staying up-to-date with the latest techniques and advancements in dentistry. His experience in different areas of dentistry, including prosthodontics, implantology, and oral surgery, makes him a well-rounded professional.

🏆 Awards and Honors

Although specific awards and honors are not mentioned in the provided CV, Giuseppe D’Albis’s participation in various scientific courses and conferences demonstrates his commitment to excellence in dentistry. His involvement in continuous learning and professional development showcases his dedication to providing high-quality patient care.

🔬 Research Interests

Giuseppe D’Albis’s research focus appears to be in the areas of oral surgery, prosthodontics, and implantology. His master’s thesis on “Intraoral Transmission of Bacteria and Its Relationship to Periimplantitis” suggests an interest in investigating the causes and consequences of periimplantitis. His participation in conferences and training courses related to these topics further highlights his research focus.

📚Top Noted Publications

1. Utilization of Platelet-Rich Plasma in Oral Surgery: A Systematic Review of the Literature 📚
2. Adjunctive Effects of Diode Laser in Surgical Periodontal Therapy: A Narrative Review of the Literature 💡
3. Odontogenic Myxoma Associated to Unerupted Mandibular Molar in a Pediatric Patient: A New Case Description with Comprehensive Literature Analysis 👦
4. Diagnostic Challenges of Traumatic Ulcerative Granuloma with Stromal Eosinophilia in the Hard Palate 🔍
5. Immediate Loading Implants in Fixed Partial Dentures 💯
6. The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review 🤖
7. Periodontal Health and Its Relationship with Psychological Stress: A Cross-Sectional Study 🤯
8. Single-implant-supported zirconia fixed partial denture with a mesial cantilever extension: a case report 💼
9. Augmented Reality-Assisted Surgical Exposure of an Impacted Tooth: A Pilot Study 🔥
10. Implant-supported zirconia fixed partial dentures cantilevered in the lateral-posterior area: A 4-year clinical results 📊
11. Use of hyaluronic acid for regeneration of maxillofacial bones 💊
12. SINGLE IMPLANT-SUPPORTED TWO-UNIT IN THE POSTERIOR AREA: CASE REPORT AND LITERATURE REVIEW 📄
13. Orientation of digital casts according to the face-bow arbitrary plan 🎨
14. Tunnel access for ridge augmentation: A review 📖
15. The Role and Applications of Artificial Intelligence in Dental Implant Planning (Working paper) 🤖

Conclusion

Giuseppe D’Albis demonstrates potential as a researcher in the field of dentistry, with a strong educational background and clinical experience. While there are areas for improvement, his participation in scientific courses and conferences showcases his commitment to continuous learning. With focused efforts on publishing research and exploring interdisciplinary collaborations, he could become a strong candidate for the Best Researcher Award.

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic, University of Belgrade, Serbia

Dr. Katarina Đorđević holds a PhD in Physics and is an expert in the physics of condensed matter and photoacoustics. She has significant experience in applying neural networks for material characterization, supervised machine learning, and solving inverse problems. Dr. Đorđević is skilled in numerical testing and developing measurement procedures, as well as utilizing computational intelligence algorithms in various applications. Her work involves a blend of theoretical and practical approaches, leveraging advanced computational techniques to enhance understanding and innovation in material sciences.

 

Professional Profiles:

Google Scholar

Intelligence 🚀

Dr. Katarina Đorđević, PhD in Physics, is a renowned expert with extensive experience in the physics of condensed matter, photoacoustics, and the application of neural networks in material characterization. Her diverse expertise spans multiple cutting-edge fields, making her a leading figure in both theoretical and applied physics.

🌟 Physics of Condensed Matter:

Dr. Đorđević’s work in condensed matter physics delves into the intricate properties of matter in various states, contributing to a deeper understanding of material behavior under different conditions.

🔊 Photoacoustics:

She is well-versed in photoacoustics, a technique that combines light and sound to probe the properties of materials. This innovative approach allows for non-invasive, highly precise material characterization.

🤖 Neural Networks & Material Characterization:

Leveraging neural networks, Dr. Đorđević has advanced the field of material characterization. Her research utilizes these artificial intelligence systems to analyze and predict material properties with unprecedented accuracy.

💻 Supervised Machine Learning:

A significant portion of her work involves supervised machine learning, where she trains models to recognize patterns and make predictions based on extensive datasets. This has vast applications in materials science and beyond.

🔄 Inverse Problem Solving:

Dr. Đorđević excels in solving inverse problems, which involve determining unknown causes from known consequences. This is crucial in many scientific and engineering disciplines, where direct measurement is challenging or impossible.

🔢 Numerical Testing & Measurement Procedures:

Her expertise extends to numerical testing and developing precise measurement procedures, ensuring accuracy and reliability in experimental physics.

🧠 Computational Intelligence Algorithms:

She applies advanced computational intelligence algorithms to tackle complex problems in physics and material science, driving innovation and efficiency in her research.Dr. Katarina Đorđević’s multidisciplinary approach and profound knowledge make her a standout scientist, continually pushing the boundaries of what is possible in physics and computational intelligence. 🌍🔬✨

📖 Publications Top Note :

1. Photoacoustic Measurements of the Thermal and Elastic Properties of n-type Silicon Using Neural Networks

Authors: КL Djordjević, DD Markushev, ŽМ Ćojbašić, KL Djordjević
Journal: Silicon 12 (6), 1289-1300, 2020
Citations: 21

2. Computationally Intelligent Description of a Photoacoustic Detector

Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, SP Galovic, …
Journal: Optical and Quantum Electronics 52, 1-14, 2020
Citations: 19

3. Development and Comparison of Techniques for Solving the Inverse Problem in Photoacoustic Characterization of Semiconductors

Authors: M Nesic, M Popovic, K Djordjevic, V Miletic, M Jordovic-Pavlovic, …
Journal: Optical and Quantum Electronics 53, 1-16, 2021
Citations: 17

4. Photoacoustic Optical Semiconductor Characterization Based on Machine Learning and Reverse-Back Procedure

Authors: КL Djordjevic, SP Galovic, MI Jordovic-Pavlovic, MV Nesic, MN Popovic, …
Journal: Optical and Quantum Electronics 52, 1-9, 2020
Citations: 16

5. Influence of Data Scaling and Normalization on Overall Neural Network Performances in Photoacoustics

Authors: КLj Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, MN Popović …
Journal: Optical and Quantum Electronics 54 (501), 31-35, 2022
Citations: 14*

6. Photothermal Response of Polymeric Materials Including Complex Heat Capacity

Authors: KL Djordjevic, D Milicevic, SP Galovic, E Suljovrujic, SK Jacimovski, …
Journal: International Journal of Thermophysics 43 (5), 68, 2022
Citations: 14

7. Estimation of Linear Expansion Coefficient and Thermal Diffusivity by Photoacoustic Numerical Self-Consistent Procedure

Authors: MV Nesic, MN Popovic, SP Galovic, KL Djordjevic, MI Jordovic-Pavlovic, …
Journal: Journal of Applied Physics 131 (10), 2022
Citations: 13

8. Sintering of Fly Ash Based Composites with Zeolite and Bentonite Addition for Application in Construction Materials

Authors: A Terzić, N Đorđević, M Mitrić, S Marković, K Đorđević, VB Pavlović
Journal: Science of Sintering 49 (1), 23-37, 2017
Citations: 13

9. Inverse Problem Solving in Semiconductor Photoacoustics by Neural Networks

Authors: KL Djordjevic, DD Markushev, ŽM Ćojbašić, SP Galović
Journal: Inverse Problems in Science and Engineering 29 (2), 248-262, 2021
Citations: 11

10. Use Neural Network in Photoacoustic Measurement of Thermoelastic Properties of Aluminum Foil

Authors: К Lj Djordjević, SP Galović, MN Popović, MV Nešić, IP Stanimirović, ZI …
Journal: Measurement, 111537, 2022
Citations: 10