Tanyo Tanev | Machine Learning | Best Researcher Award

Mr. Tanyo Tanev | Machine Learning | Best Researcher Award

Technical University of Sofia | Bulgaria

Tanyo Tanev appears to be a highly suitable candidate for the Best Researcher Award. His exceptional blend of technical expertise, academic pursuit, and professional achievements in the renewable energy and electrical engineering domains clearly demonstrates research excellence and innovation. As a Ph.D. candidate at the Technical University of Sofia, he has published five scientific papers and is working on additional studies focused on photovoltaic (PV) power plants and the application of machine learning and deep learning models in energy systems-fields of growing global importance. Professionally, he has led the design and development of large-scale PV power plants worldwide, managing complex engineering, optimization, and data-driven simulation tasks. His strong background in Autocad, PVcase, PVsyst, Python, and AI frameworks like TensorFlow and Keras, combined with managerial experience and creative problem-solving, highlights his research-driven approach to technological advancement. Tanyo’s ability to merge academic knowledge with practical innovation, leadership in renewable energy projects, and continuous pursuit of scientific progress make him an outstanding contender for the Best Researcher Award.

Profiles: Scopus

Featured Publications

"Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods", T. Tanev and R. Stanev, Energies, 2025.

Monti Chiara Carla | Technological Networks | Top Researcher Award

Dr. Monti Chiara Carla | Technological Networks | Top Researcher Award

University of Insubria | Italy

Dr. Monti Chiara Carla is an accomplished medical professional with extensive experience in clinical governance, healthcare management, and quality control within Italy’s social-healthcare sector. Since March 2020, she has served as the Medical Director and Quality Control Lead for the RSA Area at KOS Care Srl, overseeing 56 facilities across eight Italian regions with over 6,000 beds. Her work focuses on clinical process optimization, risk management, accreditation, staff training, and the development of innovative healthcare services. Previously, from 2017 to 2020, she held key responsibilities in medical and quality management at KOS Care’s Central Health Directorate for Anni Azzurri Residences, managing 40 facilities and 4,000 beds, where she contributed to ethical clinical pathways, pharmaceutical governance, and healthcare compliance. Dr. Monti also served with the Don Pozzoli Onlus Foundation as Facility Doctor and Supervisory Body Member, and led the HALT2 Study promoted by the European Centre for Disease Prevention and Control, focusing on infection control in long-term care. Earlier in her career, she gained significant clinical experience in geriatric, rehabilitative, and neurological care through roles at several nursing homes including Foscolo, Carducci, and Vivaldi facilities, and in the Department of Plastic, Reconstructive, and Aesthetic Surgery at the Macchi Foundation Hospital in Varese. Her career reflects a strong commitment to advancing patient care quality, medical ethics, and organizational excellence within the healthcare system.

Profiles: Scopus

Featured Publications

"Shared and Unique Disease Pathways in Amyotrophic Lateral Sclerosis and Parkinson’s Disease Unveiled in Peripheral Blood Mononuclear Cells", ACS Chemical Neuroscience, 2023", 143 Citations by 127 documents 7 Documents 5 h-index.

Mohammed Amran | Product Innovation | Young Researcher Award

Mr. Mohammed Amran | Product Innovation | Young Researcher Award

The University of Dodoma | Tanzania

Mr. Mohammed A. Amran is a dedicated chemist and researcher specializing in organic and sustainable materials. He earned his Bachelor of Science in Chemistry from the University of Dodoma (UDOM), where he received the Overall Best Project in Chemistry Award in 2022 for his outstanding research achievements. Continuing his academic journey, he completed a Master of Science in Chemistry with a specialization in organic materials at the State University of Zanzibar (SUZA) in December 2024. Mr. Amran’s pioneering research on seaweed-based bioplastics, under the project “The Potential of Native Seaweed as an Alternative Source of Bioplastic to Mitigate Climate Change,” earned him recognition and led to a granted patent titled “A Seaweed-Based Renewable Resources Bioplastic and Production Methods Thereof” (Patent No. TZ/P/2024/00105). He currently serves as an Assistant Lecturer at UDOM (2025–present), specializing in material sciences and organic materials, having previously worked as a Tutorial Assistant in Organic Chemistry (2023–2024). His professional experience also includes roles as Assistant Quality Controller at Lootah Group of Companies in Zanzibar and Senior Census Clerk at the National Bureau of Statistics during Tanzania’s 2022 national census. Mr. Amran has presented his research at leading forums such as the International Conference in Science, Technology, and Innovation (ICST) in Dodoma (2024) and the 9th STICE Conference in Dar es Salaam, contributing to the advancement of renewable packaging materials. Skilled in forensic chemical analysis, natural polymer extraction, quality control, and sustainable material synthesis, he has further honed his expertise through certified courses offered by Elsevier’s Researcher Academy and other industrial training programs. A multidisciplinary researcher, Mr. Amran’s work lies at the intersection of environmental sustainability, green chemistry, polymer science, and renewable materials, with a vision to combat plastic pollution and climate change through innovative bioplastic technologies and cross-sectoral collaboration.

Profiles: Scopus

Featured Publications

"Assessment of baseline physicochemical qualities of carrageenan-based bioplastics from Kappaphycus alvarezii seaweed for their packaging applications"

Innovation Excellence Award in Network Science and Graph Analytics

Introduction of Innovation Excellence Award in Network Science and Graph Analytics

Welcome to the forefront of recognition in the realm of Network Science and Graph Analytics! The Innovation Excellence Award celebrates pioneers, visionaries, and groundbreaking contributors who have significantly advanced the fields of network science and graph analytics. This prestigious award is a testament to the relentless pursuit of innovation that shapes the future of interconnected systems.

Award Eligibility:

This award is open to individuals and teams across academia, industries, and research institutions who have demonstrated exceptional innovation in the field of Network Science and Graph Analytics.

Age Limits:

There are no age restrictions; this award recognizes excellence regardless of age.

Qualification:

Open to individuals and teams with a proven track record of innovative contributions in Network Science and Graph Analytics.

Publications:

Candidates should have notable publications that showcase their impactful work in the field.

Requirements:
  • Demonstration of groundbreaking innovation.
  • A record of significant contributions to Network Science and Graph Analytics.
  • Noteworthy publications showcasing advancements.
Evaluation Criteria:

Entries will be evaluated based on the originality, impact, and relevance of the innovation in Network Science and Graph Analytics.

Submission Guidelines:
  1. Submit a comprehensive biography highlighting relevant achievements.
  2. Include an abstract summarizing the innovative contribution.
  3. Attach supporting files showcasing the impact of the work.
Recognition:

The awardee will receive public recognition, a trophy, and the opportunity to present their work at a prominent industry event.

Community Impact:

The award aims to foster a collaborative community by recognizing and promoting impactful contributions that benefit the broader network science and graph analytics community.

Biography:

Provide a brief but comprehensive biography highlighting your journey, achievements, and contributions to the field.

Abstract and Supporting Files:

Include a concise abstract summarizing the innovation and supporting files that demonstrate the impact of the work.

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