Associate professor at University of Udine, Italy

Cinzia Battistella is an Associate Professor of Management Engineering at the University of Udine, specializing in innovation management, strategic foresight, and business ecosystems. She holds a Ph.D. in Management Engineering from the University of Padua and has an extensive academic career, having previously served at the University of Siena and the Free University of Bozen-Bolzano. With over 100 international publications, including books like Corporate Foresight and The Road to Servitization, she has made significant contributions to her field. She has managed multiple research projects, collaborated with major corporations like Telecom Italia and Vodafone, and supervised numerous Ph.D. students and researchers. Battistella is actively involved in academic quality assurance and serves as an expert in management engineering for the Friuli Venezia Giulia Region’s recovery plan. Her multilingual proficiency and leadership in international research initiatives further establish her as a prominent figure in economic and management engineering.

Professional Profile

Education

Cinzia Battistella holds a Ph.D. in Management Engineering from the University of Padua, where she developed expertise in innovation management, strategic foresight, and business ecosystems. She completed her undergraduate and master’s studies in Management Engineering, laying a strong foundation in industrial management, technology innovation, and business strategy. Throughout her academic journey, she has pursued continuous learning through specialized courses and international research collaborations, enhancing her knowledge in foresight methodologies, open innovation, and servitization. Her educational background has enabled her to contribute significantly to academia, with teaching and research positions at institutions such as the University of Udine, the Free University of Bozen-Bolzano, and the University of Siena. Her interdisciplinary education and research experience have positioned her as a key figure in management engineering, allowing her to collaborate with global institutions, supervise doctoral students, and participate in high-impact research projects that bridge theory and practical application in industrial innovation.

Professional Experience

Cinzia Battistella is an accomplished researcher and academic in the field of management engineering, specializing in innovation management, strategic foresight, and business ecosystems. She has held research and teaching positions at prestigious institutions, including the University of Udine, the Free University of Bozen-Bolzano, and the University of Siena. Her professional experience spans interdisciplinary research, where she has collaborated with international scholars and industry partners to explore emerging trends in technology and business strategy. She has played a pivotal role in European-funded research projects, focusing on foresight methodologies, open innovation, and servitization. As an educator, she has mentored graduate and doctoral students, integrating research insights into her teaching. Her expertise has led to significant contributions in academic publications and industry reports, bridging the gap between theoretical advancements and practical applications. Through her extensive research, consulting, and academic leadership, she continues to influence the fields of innovation and strategic management.

Research Interest

Cinzia Battistella’s research interests revolve around innovation management, strategic foresight, and business ecosystems. She explores how organizations anticipate future trends and adapt to technological advancements through foresight methodologies and scenario planning. Her work delves into open innovation, examining how firms collaborate with external partners to enhance competitiveness and drive technological progress. She is particularly interested in servitization, studying how manufacturing companies transition from product-based to service-oriented business models. Additionally, her research covers knowledge management, investigating how organizations create, share, and utilize knowledge to foster innovation. She has contributed to studies on decision-making processes in complex environments, emphasizing the role of digital transformation in shaping business strategies. Through interdisciplinary collaborations and participation in European research projects, she has advanced the understanding of sustainable innovation, digital ecosystems, and industry evolution. Her contributions bridge academia and practice, offering valuable insights into the dynamic nature of innovation and strategic management.

Research Skill

Cinzia Battistella possesses a strong research skillset that spans multiple disciplines within management engineering, innovation management, and strategic foresight. She is highly proficient in qualitative and quantitative research methodologies, employing techniques such as case studies, surveys, bibliometric analysis, and data-driven decision-making. Her expertise in scenario analysis and technology forecasting enables her to anticipate industry trends and guide organizations in strategic planning. She is adept at systematic literature reviews and meta-analyses, which she uses to synthesize knowledge and identify emerging research gaps. Her ability to collaborate across academic and industry sectors enhances her interdisciplinary research approach, particularly in open innovation, organizational resilience, and future-oriented decision-making. Battistella’s skills in project management and grant writing have also facilitated successful research funding and collaborations. Through her analytical capabilities and methodological rigor, she continues to contribute valuable insights to the fields of innovation strategy and technology management.

Conclusion

Cinzia Battistella is a highly suitable candidate for the Best Paper Award, given her strong academic credentials, impactful research contributions, and leadership in innovation management. Strengthening the application with citation metrics, industry implementation outcomes, and prior research awards would further solidify her case.

Publications Top Noted

Title: Corporate foresight: an emerging field with a rich tradition
Authors: R. Rohrbeck, C. Battistella, E. Huizingh
Year: 2015
Citations: 508
Title: Product service system: A conceptual framework from a systematic review
Authors: A. Annarelli, C. Battistella, F. Nonino
Year: 2016
Citations: 506
Title: Cultivating business model agility through focused capabilities: A multiple case study
Authors: C. Battistella, A.F. De Toni, G. De Zan, E. Pessot
Year: 2017
Citations: 347
Title: Inter-organisational technology/knowledge transfer: a framework from critical literature review
Authors: C. Battistella, A.F. De Toni, R. Pillon
Year: 2016
Citations: 322
Title: Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre
Authors: C. Battistella, K. Colucci, A.F. De Toni, F. Nonino
Year: 2013
Citations: 243
Title: From design driven innovation to meaning strategy
Authors: C. Battistella, G. Biotto, A.F. De Toni
Year: 2012
Citations: 235
Title: Open accelerators for start-ups success: a case study
Authors: C. Battistella, A.F. De Toni, E. Pessot
Year: 2017
Citations: 185
Title: Open innovation web-based platforms: The impact of different forms of motivation on collaboration
Authors: C. Battistella, F. Nonino
Year: 2012
Citations: 181
Title: The organisation of Corporate Foresight: A multiple case study in the telecommunication industry
Authors: C. Battistella
Year: 2014
Citations: 164
Title: A methodology of technological foresight: A proposal and field study
Authors: C. Battistella, A.F. De Toni
Year: 2011
Citations: 140
Title: Exploring the impact of motivations on the attraction of innovation roles in open innovation web-based platforms
Authors: C. Battistella, F. Nonino
Year: 2012
Citations: 98
Title: Sustainable business models of SMEs: Challenges in yacht tourism sector
Authors: C. Battistella, M. Cagnina, L. Cicero, N. Preghenella
Year: 2018
Citations: 93
Title: What drives collective innovation? Exploring the system of drivers for motivations in open innovation, Web-based platforms
Authors: C. Battistella, F. Nonino
Year: 2012
Citations: 72
Title: The Extended Map methodology: Technology roadmapping for SMEs clusters
Authors: C. Battistella, A.F. De Toni, R. Pillon
Year: 2015
Citations: 63
Title: A Methodology for the assessment of experiential learning lean: The Lean Experience Factory case study
Authors: G. De Zan, A.F. De Toni, A. Fornasier, C. Battistella
Year: 2015
Citations: 63

Alireza zabihi | Energy | Best Researcher Award

Posted on 06/02/202506/02/2025 by ScienceFather

Dr.Alireza zabihi | Energy | Best Researcher Award

phd student at phd student in electrical engineering and intelligent systems, Portugal

Alireza Zabihi is a dedicated researcher in electrical engineering, specializing in renewable energy, smart grids, and power systems. With multiple publications in reputable journals and conferences, he has contributed significantly to areas such as photovoltaic systems, cybersecurity in smart grids, and electric vehicle integration. He has authored and translated books on renewable energy and energy-efficient buildings, further showcasing his expertise. Academically, he has excelled in various courses, ranking among the top students, and has received a Ph.D. research grant from the University of Coimbra for his work on ship power systems. In addition to academia, he has industry experience with Applebone GmbH in marine electrical distribution and maintenance. His commitment to research is also reflected in his peer-reviewing contributions, earning him a certificate of excellence. With a strong foundation in both theoretical and applied aspects of electrical engineering, Alireza continues to advance the field through innovative research and academic contributions.

Professional Profile

Google scholar

Education

Alireza Zabihi has a strong academic background in electrical engineering, with a focus on power systems, renewable energy, and smart grids. He has demonstrated outstanding academic performance, ranking among the top students in multiple specialized courses, including Smart Grid, Power Quality, Advanced Motion Dynamics, and Flexible AC Transmission Systems. His dedication to research and innovation earned him a prestigious Ph.D. research grant from the University of Coimbra in 2024, where he focused on ship power systems. His education combines both theoretical knowledge and practical applications, preparing him for impactful contributions to the fields of energy and electrical engineering.

Professional Experience

Alireza Zabihi has gained valuable professional experience in the field of electrical engineering, particularly in power systems and renewable energy. He has worked with Applebone GmbH in Germany, focusing on marine electrical distribution systems and maintenance. His expertise extends to peer-reviewing scholarly works, earning him a Certificate of Excellence from BP International for reviewing a chapter book. In addition to his academic and research pursuits, he has actively contributed to the industry through innovative studies on photovoltaic systems, smart grids, and cybersecurity in power networks. His work bridges the gap between theoretical advancements and real-world applications, making significant contributions to both academia and industry.

Research Interest

Alireza Zabihi’s research interests lie in the fields of power systems, renewable energy, smart grids, and energy efficiency. He is particularly focused on photovoltaic systems, energy storage integration, and the role of IoT in optimizing modern power networks. His studies explore innovative solutions for enhancing power quality, improving the resilience of smart grids, and addressing cybersecurity challenges in IoT-driven energy systems. Additionally, he is interested in the integration of electric vehicles into power grids and the development of decentralized energy solutions. Through his research, Alireza aims to contribute to the advancement of sustainable and intelligent energy systems, bridging the gap between cutting-edge technology and real-world applications.

Award and Honor

Alireza Zabihi has received several academic awards and honors in recognition of his outstanding performance and contributions to electrical engineering. He has consistently ranked among the top students in various specialized courses, securing the 2nd and 3rd positions in subjects such as Smart Grid, Power Quality, Advanced Motion Dynamics, and Flexible AC Transmission Systems. His excellence in research was acknowledged with a Ph.D. research grant from the University of Coimbra in 2024 for his work on ship power systems. Additionally, he has been recognized for his contributions to peer reviewing, earning a Certificate of Excellence from BP International. He also demonstrated his technical skills and innovation by securing a leading position in the first round of the Development and Industry Competition at IAUN. These accolades highlight his dedication to academic excellence, research, and industry contributions.

Conclusion

Based on the strong research background, academic achievements, and contributions to the field of electrical engineering and renewable energy, this candidate is highly suitable for the Best Researcher Award. Strengthening international collaborations, increasing high-impact publications, and emphasizing real-world applications of research could further enhance the profile.

Publications Top Noted

A Partial Shading Detection Algorithm for Photovoltaic Generation Systems
A. Zabihi, I. Sadeghkhani, B. Fani
Year: 2021 | Citations: 24
Empowering the Grid: Toward the Integration of Electric Vehicles and Renewable Energy in Power Systems
A. Zabihi, M. Parhamfar
Year: 2024 | Citations: 23
Developing a Robust Expansion Planning Approach for Transmission Networks and Privately-Owned Renewable Sources
L. Peng, A. Zabihi, M. Azimian, H. Shirvani, F. Shahnia
Year: 2022 | Citations: 17
Increase Power Output and Radiation in Photovoltaic Systems by Installing Mirrors
A. Zabihi, M. Parhamfar, S.S. Duvvuri, M. Abtahi
Year: 2023 | Citations: 9
Assessment of Faults in the Performance of Hydropower Plants within Power Systems
A. Zabihi
Year: 2024 | Citations: 8
Frequency and Time Series Analysis of Surge Arrester in Power Distribution Systems
A. Zabihi, M. Parhamfar
Year: 2024 | Citations: 6
Decentralized Energy Solutions: The Impact of Smart Grid-Enabled EV Charging Stations
A. Zabihi, M. Parhamfar
Year: 2025 | Citations: –
Strengthening Resilience: A Brief Review of Cybersecurity Challenges in IoT-Driven Smart Grids
A. Zabihi, M. Parhamfar, M. Khodadadi
Year: 2024 | Citations: –
Securing the Future: Enhancing Cyber Attack Detection in Microgrids for Resilient Energy Networks
M. Parhamfar, A. Zabihi, M. Taheri, B.C. Oyinna
Year: 2024 | Citations: –
Enhancing Reliability and Efficiency in Power Systems: The Role of IoT in Optimizing Smart Grids
A. Zabihi, A. Shafiei Alavijeh
Year: 2024 | Citations: –
Next-Gen Energy Solutions: A Brief Study on Boosting Distribution Efficiency with IoE Technology
M. Parhamfar, A. Zabihi
Year: 2024 | Citations: –
ساختمان های صفر انرژی (از ایده تا اجرا)‎ (Zero Energy Buildings – From Idea to Implementation)
A. Zabihi
Year: 2023 | Citations: 1
Detection and Assessment of Partial Shading Against the Hotspot Phenomenon in PV Generation Systems
A. Zabihi
Year: 2020 | Citations: –
English in Electrical Engineering
A. Zabihi
Year: 2020 | Citations: –
Renewable Energy Sources
A. Zabihi
Year: 2020 | Citations: –
Renewable Energy Sources and Challenges in Power Systems
A. Zabihi
Year: 2017 | Citations: –

Sanja Gluscevic | Medicine and Dentistry | Best Researcher Award

Posted on 06/02/202506/02/2025 by ScienceFather

Dr. Sanja Gluscevic | Medicine and Dentistry | Best Researcher Award

Neurologist, MsC candidate, PhD candidate at Clinical centre of Montenegro, Montenegro

Dr. Sanja V. Gluscevic is a distinguished neurologist and medical professional based in Montenegro. She holds a medical degree from the University of Montenegro and completed her neurology residency at the University of Belgrade. Dr. Gluscevic has demonstrated significant leadership, serving as the first Montenegrin ambassador for neurology and brain health at the European Academy of Neurology, and as an ambassador for the Sumaira Foundation. She is also the founder of the Montenegrin Association for Brain Diseases, HOPE, and holds several prominent positions in clinical and educational settings, including teaching assistant roles and leadership in various medical organizations. Her extensive expertise spans multiple sclerosis, epilepsy, and other neurological conditions, with numerous publications in reputable medical journals. Dr. Gluscevic is actively involved in international collaborations and advocacy for neurological health, contributing to research, policy, and patient care advancements in Montenegro and beyond.

Professional Profile

Education

Dr. Sanja V. Gluscevic’s educational background is rooted in both her medical and specialized neurological training. She completed her medical degree at the University of Montenegro, where she laid the foundation for her career in healthcare. Following her graduation, Dr. Gluscevic pursued advanced studies in neurology at the University of Belgrade, where she completed her neurology residency. During her education, she focused on various aspects of neurology, including the diagnosis and treatment of complex brain diseases such as multiple sclerosis and epilepsy. Beyond formal education, Dr. Gluscevic actively engaged in additional professional development through international training programs, conferences, and workshops, enhancing her expertise in neurology. Her academic achievements and continued commitment to learning have not only shaped her clinical career but have also fueled her contributions to neurological research, advocacy, and education, making her a prominent figure in the field of neurology in Montenegro and internationally.

Professional Experience

Dr. Sanja V. Gluscevic has an extensive professional background in neurology, making significant contributions to both clinical practice and research. She has worked at prominent medical institutions in Montenegro, providing exceptional care for patients with a wide range of neurological conditions, particularly focusing on multiple sclerosis, epilepsy, and neurodegenerative diseases. Her role as a neurologist includes diagnosing, treating, and managing chronic neurological disorders, offering personalized care to improve patient quality of life. Dr. Gluscevic has also been involved in various research initiatives, exploring innovative approaches to neurological treatments and working on projects aimed at enhancing the understanding of neurological diseases. She has participated in numerous international clinical trials and collaborated with research teams worldwide to bring new treatments to the forefront. Her leadership in the medical community extends to her involvement in educational programs, where she mentors and trains future neurologists, sharing her expertise and passion for advancing the field of neurology.

Research Interest

Dr. Sanja V. Gluscevic’s research interests primarily focus on the understanding and treatment of neurological disorders, with a particular emphasis on multiple sclerosis, epilepsy, and neurodegenerative diseases such as Alzheimer’s and Parkinson’s. Her research aims to uncover the underlying mechanisms of these diseases, exploring their pathophysiology and potential therapeutic strategies. She is particularly interested in the role of immune system dysfunction and neuroinflammation in the progression of neurological conditions. Dr. Gluscevic’s work also delves into the exploration of novel biomarkers for early diagnosis and monitoring disease progression. Additionally, she has been actively involved in clinical trials evaluating the efficacy of emerging treatments and pharmacological interventions. Through her research, Dr. Gluscevic strives to develop more effective, personalized treatment approaches to improve patient outcomes. Her contributions to the field of neurology aim to bridge the gap between laboratory findings and clinical applications, advancing both scientific knowledge and patient care.

Award and Honor

Dr. Sanja V. Gluscevic has received numerous prestigious awards and honors throughout her distinguished career, recognizing her contributions to the field of neurology and neuroscience. She has been acknowledged for her outstanding research in the areas of neurological diseases and neuroinflammation, particularly in relation to multiple sclerosis and neurodegenerative conditions. Among her accolades, Dr. Gluscevic has received research grants from prominent institutions, enabling her to further her investigations into innovative treatment strategies for neurological disorders. Her work has been recognized with invitations to present at international conferences, underscoring her status as a leading expert in the field. Dr. Gluscevic has also been awarded fellowships and awards for excellence in clinical research, contributing significantly to advancements in therapeutic development. Through these honors, she has gained widespread recognition for her pioneering research and her efforts to enhance patient care and scientific understanding of complex neurological diseases.

Research Skill

Dr. Sanja V. Gluscevic possesses a diverse and extensive skill set in research, which has greatly contributed to her success in the field of neurology and neuroscience. Her expertise includes a strong background in both basic and clinical research, with particular emphasis on neuroinflammation, neurodegeneration, and the pathophysiology of neurological disorders such as multiple sclerosis. Dr. Gluscevic is highly proficient in experimental design, utilizing a range of advanced techniques such as molecular biology, immunohistochemistry, and imaging technologies to investigate neurological processes at the cellular and molecular levels. She has a keen ability to translate laboratory findings into clinical applications, bridging the gap between experimental research and patient care. Additionally, her data analysis skills are complemented by her use of sophisticated computational tools for interpreting complex datasets. Dr. Gluscevic’s collaborative nature and leadership in interdisciplinary teams further enhance her ability to conduct innovative, high-impact research.

Conclusion

Sanja V. Gluscevic is a highly qualified candidate for the Best Researcher Award, demonstrating strong leadership, a diverse skill set, and a commitment to advancing research in neurology. Her publication record, advocacy work, and extensive experience in both education and clinical practice solidify her credentials. To further enhance her profile, expanding international collaborations and strengthening her impact on clinical practice would make her an even more formidable contender for the award. Overall, Gluscevic has proven herself to be a leading figure in her field, making significant contributions to both the research community and the broader healthcare landscape.

Publications Top Noted

Title: Long-term outcomes of infliximab treatment in neuro-Behcet syndrome: A single-center retrospective study
Authors: Emine Rabia Koc, Gizem Güllü, Furkan Saridas, Sanja Gluscevic, Belkıs Coskun, Yavuz Pehlivan, Fatma Zehra Calikusu, Omer Faruk Turan
Year: 2024
Citation: Clinical Rheumatology, DOI: 10.1007/s10067-024-07198-7
Title: Long-term outcomes of infliximab treatment in neuro-Behcet syndrome: A single-center retrospective study
Authors: Koc Emine Rabia, Güllü Gizem, Saridas Furkan, Gluscevic Sanja, Coskun Belkıs Nihan, Pehlivan Yavuz, Calikusu Fatma Zehra, Turan Omer Faruk
Year: 2024
Citation: Clinical Rheumatology, DOI: 10.1007/s10067-024-07118-9
Title: Sex-Specific Associations between Thyroid Status, Inflammation and Hemostasis Biomarkers in Patients with Subacute Thyroiditis
Authors: Jelena Vekic, Aleksandra Klisic, Jelena Kotur-Stevuljevic, Neda Milinkovic, Sanja Gluscevic, Serpil Ciftel, Filiz Mercantepe
Year: 2024
Citation: Biomedicines, DOI: 10.3390/biomedicines12081862
Title: Cardiometabolic Risk Factors Related to Atrial Fibrillation and Metabolic Syndrome in the Pakistani Population
Authors: Saira Rafaqat, Saima Shariif, Shagufta Naz, Sanja Gluscevic, Filiz Mercantepe, Ana Ninic, Aleksandra Klisic
Year: 2024
Citation: Medicina, DOI: 10.3390/medicina60081190

Mohammad Parhamfar | Engineering | Best Researcher Award

Posted on 06/02/202506/02/2025 by ScienceFather

Dr. Mohammad Parhamfar | Engineering | Best Researcher Award

www.parhamfar.com, Iran

Dr. Mohammad Parhamfar is a distinguished renewable energy expert and electrical engineer specializing in solar energy, with 19 years of experience spanning software development, electrical engineering, and sustainable energy solutions. Holding a Doctor of Business Administration (DBA) and a Master’s in Renewable Energy, he has contributed significantly to the field through over 40 published papers, eight authored books, and multiple patents in electrical software design and lightning protection for solar farms. As a leader in solar project development, he has designed 50 MW solar projects, implemented 1 MW rooftop systems, and played a key role in Iran’s first 10 MW solar power plant. He has received numerous awards, including the 2023 Creative Researcher Award, and serves on the editorial boards of various energy-related journals. His innovations in energy management, microgrids, and carbon trading, along with his active participation in international conferences, cement his reputation as a pioneering researcher and industry leader.

Professional Profile

Education

Dr. Mohammad Parhamfar holds a Doctor of Business Administration (DBA), a Master’s degree in Renewable Energy, and a Bachelor’s degree in Electrical Engineering. His multidisciplinary educational background integrates technical expertise with strategic business management, enabling him to drive innovation in renewable energy and electrical engineering. His academic journey has equipped him with deep knowledge in solar energy systems, electrical installations, and energy management. He has also obtained numerous technical certifications in solar designing, energy auditing, microgrids, and IEEE teaching standards, further strengthening his expertise in sustainable energy solutions. His commitment to education extends beyond personal learning, as he has actively contributed to academia as a lecturer in solar energy, sharing his knowledge with students and professionals. Dr. Parhamfar’s strong academic foundation, coupled with practical experience, has positioned him as a leader in the field, allowing him to contribute significantly to large-scale solar projects, research, and policy development.

Professional Experience

Dr. Mohammad Parhamfar boasts an extensive professional career spanning over 19 years in renewable energy, electrical engineering, and software development. He has held key leadership positions, including CEO of Yeganeh Energy, where he managed the implementation of solar projects, and CTO of Applebone Company, specializing in solar energy and IT solutions. Dr. Parhamfar has led the development of large-scale solar projects, including designing a 50 MW solar system and coordinating the first 10 MW solar power plant in Iran. He has also served as a project manager and electrical engineer for various high-profile projects, such as the 1000 MW solar farm in Isfahan and multiple international solar initiatives in Armenia and Oman. As a freelancer, he has provided consulting services to several organizations, contributing his expertise in renewable energy, electrical systems design, and project management. His work has earned him recognition as a leader in the renewable energy sector.

Research Interest

Dr. Mohammad Parhamfar’s research interests lie at the intersection of renewable energy, electrical engineering, and sustainable development. His primary focus is on solar energy systems, particularly the design, implementation, and optimization of large-scale solar projects. He is also deeply involved in the integration of artificial intelligence with renewable energy solutions to enhance efficiency and performance. Dr. Parhamfar is passionate about addressing climate change through sustainable energy practices, with research extending into carbon trading and energy management strategies. He has explored innovative topics like lightning protection systems, grounding techniques for solar farms, and the development of electrical software for energy systems. His contributions to the renewable energy field include pioneering projects such as the first low-energy government building in Isfahan and the world’s first lightning risk assessment software for solar power plants. Additionally, Dr. Parhamfar is committed to exploring microgrid technology and its role in optimizing energy distribution and reducing environmental impacts.

Award and Honor

Dr. Mohammad Parhamfar has received numerous prestigious awards and honors for his groundbreaking contributions to renewable energy and electrical engineering. In 2023, he was recognized as a Creative Researcher by the International Academic Achievements and Award for his innovative work in solar energy. His remarkable achievements have also earned him recognition as the Best Innovative Engineer in 2013 in Isfahan and the Best Author in Modern Technology Journal in 2024. Dr. Parhamfar’s excellence in solar energy and engineering was further acknowledged when he ranked first in his Master’s program in Renewable Energy. He has also received accolades for his contributions to the energy sector, including being selected for his pioneering work on solar power plant insurance in Iran. His extensive involvement in research and development has earned him a reputation as a leading expert in renewable energy and a recipient of several honors for his contributions to technology and sustainability.

Research Skill

Dr. Mohammad Parhamfar possesses exceptional research skills that blend technical expertise with innovative problem-solving in the fields of renewable energy, electrical engineering, and energy management. His extensive experience in solar energy systems has enabled him to lead and contribute to cutting-edge research projects, particularly in the areas of solar power plant design, lightning protection systems, and energy optimization. Dr. Parhamfar’s research skills are demonstrated through his ability to apply complex concepts such as artificial intelligence to renewable energy solutions, enhancing the efficiency and effectiveness of energy systems. He is adept at utilizing software development tools to create groundbreaking solutions like the world’s first lightning risk assessment software for solar plants. Additionally, his ability to collaborate across multidisciplinary teams and lead large-scale research initiatives has made him a key figure in the energy sector. His research is marked by creativity, practical application, and a strong commitment to sustainable energy solutions.

Conclusion

Mohammad Parhamfar is highly suitable for the Best Researcher Award, particularly in Renewable Energy and Electrical Engineering. His strong research portfolio, industry contributions, patents, and leadership roles make him a leading figure in his field. Strengthening his academic publication impact, securing more international research funding, and increasing global collaborations would further enhance his competitiveness for the award.

Publications Top Noted

Title: Towards the application of renewable energy technologies in green ports: Technical and economic perspectives
Authors: AMA Mohammad Parhamfar, Iman Sadeghkhani
Year: 2023
Citation: IET Renewable Power Generation, Volume 37
Title: EMPOWERING THE GRID: TOWARD THE INTEGRATION OF ELECTRIC VEHICLES AND RENEWABLE ENERGY IN POWER SYSTEMS
Authors: MP Alireza Zabihi
Year: 2024
Citation: International Journal of Energy Security and Sustainable Energy (IJESSE), Volume 23
Title: Towards the net zero carbon future: A review of blockchain‐enabled peer‐to‐peer carbon trading
Authors: M Parhamfar, I Sadeghkhani, AM Adeli
Year: 2024
Citation: Energy Science & Engineering, Volume 12, Issue 3, Pages 1242-1264
Title: Increase power output and radiation in photovoltaic systems by installing mirrors
Authors: A Zabihi, M Parhamfar, SS Duvvuri, M Abtahi
Year: 2024
Citation: Measurement: Sensors, Volume 31, Article 100946
Title: Lightning Risk Assessment Software Design for Photovoltaic Plants in Accordance with IEC 62305-2
Authors: M Parhamfar
Year: 2022
Citation: Energy System Research, Volume 5, Issue 2, Page 21
Title: Frequency and Time Series Analysis of Surge Arrester in Power Distribution Systems
Authors: A Zabihi, M Parhamfar
Year: 2024
Citation: Advances in Engineering and Intelligence Systems, Volume 3, Issue 03, Pages 94-103
Title: A Light Weight Mobile Net SSD Algorithm based identification and Detection of Multiple Defects in Ceramic Insulators
Authors: NB Mohammad Parhamfar, P. Bhavya Sree, K. Balaji
Year: 2024
Citation: Journal of Modern Technology, Volume 1, Issue 1, Pages 59-74
Title: Towards Green Airports: Factors Influencing Greenhouse Gas Emissions and Sustainability through Renewable Energy
Authors: M Parhamfar
Year: 2024
Citation: Next Research, Article 100060
Title: Feasibility Study and Design of Smart Low-Energy Building Electrical Installations (Case Study: Isfahan University, Virtual Faculty Building)
Authors: SS Mohammad Parhamfar
Year: 2023
Citation: Energy Systems Research Journal, Volume 6, Issue 3, Pages 57-74
Title: The Study of Electrical Grid Components After Installing a 10 MW Photovoltaic Power Plant with Large-Scale Batteries at Peak Load by DigSilent Software
Authors: AA Mohammad Parhamfar
Year: 2022
Citation: American Journal of Electrical Power and Energy Systems, Volume 11, Issue 5, Pages 97-107

Uppula Purushotham | Chemistry | Best Researcher Award

Posted on 06/02/202506/02/2025 by ScienceFather

Dr. Uppula Purushotham | Chemistry | Best Researcher Award

Guru Nanak Institutions Technical Campus, India

Dr. Uppula Purushotham is an accomplished researcher in theoretical and computational chemistry with expertise in AI/ML applications for drug design, molecular docking, QSAR, and quantum chemical studies. With a strong academic background and industrial experience, he has contributed significantly to computer-aided drug discovery, mechanistic studies of organic reactions, and the screening of natural products for drug development. His research has led to multiple publications in high-impact journals, invited lectures at national and international workshops, and participation in prestigious conferences. He has also held administrative roles, mentoring students and leading innovation-driven projects in computational chemistry and artificial intelligence.

Professional Profile

Education

Dr. Purushotham earned his Ph.D. in Theoretical and Computational Chemistry from CSIR-Indian Institute of Chemical Technology, Hyderabad, in 2014. His research focused on computational studies of aromatic amino acids and their ionic counterparts. He completed his M.Sc. in Organic Chemistry from Kakatiya University, Warangal, in 2008, providing him with a strong foundation in chemical sciences and research methodologies.

Professional Experience

Dr. Purushotham has held various academic and research positions, currently serving as an Assistant Professor at Guru Nanak Institutions Technical Campus, where he teaches Engineering Chemistry and conducts research in computational chemistry. Previously, he was the Director & Research Scientist at Qstatix Pvt. Ltd., leading projects in drug design, AI applications, and molecular simulations. He also held a post-doctoral fellowship at Nagoya University, Japan, where he worked on electrolyte additives for sodium-ion batteries. His experience spans academia, industry, and international research collaborations.

Research Interest

Dr. Uppula Purushotham’s research focuses on theoretical and computational chemistry, with a particular emphasis on AI and machine learning applications in drug discovery. His expertise includes molecular docking, QSAR modeling, and quantum chemical calculations to predict and analyze molecular interactions. He has contributed significantly to computer-aided drug design, screening natural products for pharmaceutical applications, and understanding reaction mechanisms at the atomic level. His work extends to molecular simulations for drug-target interactions, virtual screening of bioactive compounds, and the development of predictive models for drug efficacy and toxicity. Additionally, he is involved in the design of electrolyte additives for advanced battery technologies. Dr. Purushotham actively collaborates with interdisciplinary teams, integrating computational tools with experimental data to accelerate drug development and material science innovations. His research aims to enhance precision in drug design and contribute to advancements in computational methodologies for solving complex chemical and biological challenges.

Research Skills

Dr. Uppula Purushotham possesses extensive research skills in theoretical and computational chemistry, particularly in molecular modeling, quantum chemistry, and cheminformatics. He is proficient in molecular docking, QSAR modeling, and molecular dynamics simulations, enabling precise predictions of drug-target interactions. His expertise extends to quantum chemical calculations using advanced computational tools like Gaussian, Schrödinger, and AutoDock for energy minimization, electronic structure analysis, and reaction mechanism studies. Additionally, he is skilled in machine learning techniques for drug discovery, utilizing AI-driven predictive models to enhance drug efficacy and minimize toxicity. Dr. Purushotham has hands-on experience with high-throughput virtual screening, lead optimization, and density functional theory (DFT) calculations. His ability to integrate computational and experimental data facilitates groundbreaking discoveries in pharmaceutical research and materials science. He also possesses strong analytical skills in data interpretation, statistical modeling, and visualization, ensuring accuracy and efficiency in scientific problem-solving.

Awards and Honors

Dr. Uppula Purushotham has received numerous prestigious awards and honors in recognition of his outstanding contributions to theoretical and computational chemistry. He has been awarded research fellowships from leading scientific institutions, acknowledging his innovative work in molecular modeling and cheminformatics. His excellence in academic research has earned him best paper awards at international conferences, highlighting his significant contributions to drug discovery and materials science. Additionally, he has been honored with young scientist awards from reputed scientific organizations, recognizing his pioneering studies in quantum chemistry and machine learning applications in drug design. Dr. Purushotham has also received competitive grants and funding for his research projects, reflecting his ability to secure support for high-impact studies. His exceptional work has been published in top-tier peer-reviewed journals, further cementing his reputation as a distinguished researcher. These accolades demonstrate his dedication to advancing scientific knowledge and his influence in the field of computational chemistry.

Conclusion

Dr. Uppula Purushotham is a highly qualified and impactful researcher with significant contributions to computational chemistry, AI-driven drug discovery, and theoretical studies. His experience across academia, industry, and international research institutions makes him a strong candidate for the Best Researcher Award. Enhancing his global collaborations, securing patents, and increasing high-impact publications would further solidify his credentials for the award.

Publications Top Noted

Title: Novel biosynthesized gold nanoparticles as anti-cancer agents against breast cancer: Synthesis, biological evaluation, molecular modelling studies
Authors: SK Vemuri, RR Banala, S Mukherjee, P Uppula, GPV Subbaiah, GR AV, …
Year: 2019
Citations: 116
Title: A Computational Chemical Insight into Microscopic Additive Effect on Solid Electrolyte Interphase Film Formation in Sodium-Ion Batteries: Suppression of Unstable Film Growth by …
Authors: MN Norio Takenaka, Hirofumi Sakai, Yuichi Suzuki, Purushotham Uppula
Year: 2015
Citations: 104
Title: Trimethylsumanene: Enantioselective Synthesis, Substituent Effect on Bowl Structure, Inversion Energy, and Electron Conductivity
Authors: S Higashibayashi, R Tsuruoka, Y Soujanya, U Purushotham, …
Year: 2012
Citations: 87
Title: Additive Effect of Fluoroethylene and Difluoroethylene Carbonates for the Solid Electrolyte Interphase Film Formation in Sodium-Ion Batteries: A Quantum Chemical Study
Authors: MN Purushotham Uppula, Norio Takenaka
Year: 2016
Citations: 62
Title: Synthesis and biological evaluation of Schizandrin derivatives as potential anti-cancer agents
Authors: D Amujuri, B Siva, B Poornima, K Sirisha, AVS Sarma, VL Nayak, …
Year: 2018
Citations: 39
Title: Synthesis and biological evaluation of bergenin-1, 2, 3-triazole hybrids as novel class of anti-mitotic agents
Authors: PP Kumar, B Siva, BV Rao, GD Kumar, VL Nayak, SN Jain, AK Tiwari, …
Year: 2019
Citations: 32
Title: Conjugate acene fused buckybowls: evaluating their suitability for p-type, ambipolar and n-type air stable organic semiconductors
Authors: U Purushotham, GN Sastry
Year: 2013
Citations: 32
Title: Synthesis, biological evaluation, and molecular modeling of (E)-2-aryl-5-styryl-1,3,4-oxadiazole derivatives as acetylcholine esterase inhibitors
Authors: A Kamal, AB Shaik, GN Reddy, CG Kumar, J Joseph, GB Kumar, …
Year: 2014
Citations: 30
Title: A computational investigation and the conformational analysis of dimers, anions, cations, and zwitterions of L‐phenylalanine
Authors: U Purushotham, D Vijay, G Narahari Sastry
Year: 2012
Citations: 25
Title: A comprehensive conformational analysis of tryptophan, its ionic and dimeric forms
Authors: U Purushotham, GN Sastry
Year: 2014
Citations: 22

Zhenyan Xia | Engineering | New Horizons Science Invention Award

Posted on 05/02/202507/02/2025 by ScienceFather

Mr. Zhenyan Xia | Engineering | New Horizons Science Invention Award

Associate Professor at Tianjin University, China

Xia Zhenyan is an Associate Professor at Tianjin University, specializing in fluid mechanics, molecular dynamics, and physical chemistry. With extensive experience in turbulent flow control, fluid flow instability, and micronano structures, he has led and contributed to 18+ research projects funded by prestigious national and industrial organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program. His innovative research on superhydrophobic surfaces has introduced novel methods to reduce droplet contact time by 37%, with applications in engineering, coatings, and energy systems. He has published over 50 research papers in high-impact journals, contributing significantly to the advancement of his field.

Professional Profile

Scopus Profile

Education

Xia Zhenyan holds advanced degrees in mechanical engineering and fluid mechanics from Tianjin University. His academic training provided a strong foundation in theoretical modeling, computational fluid dynamics (CFD), and materials science, shaping his research focus on fluid flow behavior and molecular interactions. His educational background has enabled him to bridge the gap between fundamental research and real-world applications, particularly in engineering solutions involving microfluidics, nanotechnology, and hydrophobic surface design.

Professional Experience

Currently serving as an Associate Professor at the School of Mechanical Engineering, Tianjin University, Xia Zhenyan is also the Deputy Director of the Department of Mechanics. His professional career is marked by multidisciplinary research collaborations in fluid dynamics, advanced materials, and computational modeling. As the Principal Investigator (PI) of multiple national research projects, he has played a key role in developing innovative solutions for industrial fluid mechanics challenges. His expertise extends to engineering applications for energy-efficient materials, hydrodynamics, and smart surface technology, making him a recognized leader in his field.

Research Interests

Xia Zhenyan’s research focuses on fluid mechanics, molecular dynamics, and physical chemistry, with a particular interest in turbulent flow control, fluid flow instability, and micronano-structured surfaces. His work explores the theoretical and engineering applications of molecular dynamics in fluid interactions, contributing to advancements in superhydrophobic coatings, energy-efficient materials, and microfluidics. A key aspect of his research involves developing novel techniques to reduce droplet contact time on surfaces, which has potential applications in biomedical engineering, aerospace, and industrial coatings. His interdisciplinary approach integrates computational simulations, experimental studies, and theoretical modeling, driving innovations in fluid behavior prediction, nanotechnology applications, and hydrodynamic performance enhancement.

Awards and Honors

Xia Zhenyan has been recognized for his outstanding contributions to fluid mechanics and molecular dynamics through multiple national and institutional awards. His research projects have received funding from prestigious organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program, highlighting the significance of his work. His publications in high-impact journals such as Physics of Fluids and Computational Materials Science have earned him academic recognition. As a Principal Investigator (PI) of multiple groundbreaking projects, he has been honored for excellence in scientific innovation and engineering applications. Additionally, his role as Deputy Director of the Department of Mechanics at Tianjin University reflects his leadership in advancing mechanical engineering and fluid dynamics research.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

Shi, H., Xu, H., Bai, Y., Xia, Z. (2025). The effect of superhydrophobic surfaces with circular ring on the contact time of droplet impact. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Citations: 0
Shi, H., Hou, X., Xu, H., Bai, Y., Xia, Z. (2024). An analysis of the contact time of nanodroplets impacting superhydrophobic surfaces with square ridges. Computational Materials Science. Citations: 0
Tai, Y., Xu, H., Bai, Y., Wang, S., Xia, Z. (2022). Experimental investigation of the impact of viscous droplets on superamphiphobic surfaces. Physics of Fluids, 34(2), 022101. Citations: 8
Yan, K., Guo, X., Xia, Z. (2021). The experimental study on the characteristics of turbulent boundary layer based on the PIV technology of non-uniform interrogation window. Chinese Journal of Applied Mechanics, 38(4), pp. 1293–1300. Citations: 2
Tai, Y., Zhao, Y., Guo, X., Wang, S., Xia, Z. (2021). Research on the contact time of a bouncing microdroplet with lattice Boltzmann method. Physics of Fluids, 33(4), 042011. Citations: 11
Xia, Z., Zhao, Y., Yang, Z., Wang, S., Wang, M. (2021). The simulation of droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by laser irradiation and silanization processes. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125966. Citations: 22
Xia, Z., Xiao, Y., Yang, Z., Liu, X., Tian, Y. (2019). Droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by hybrid laser ablation and silanization process. Materials, 12(5), 765. Citations: 27
Xia, Z., Li, Z., Li, J., Tian, Y. (2016). An experimental study on breakup characteristics of impinging jets. Journal of Tianjin University Science and Technology, 49(7), pp. 770–776. Citations: 6
Xu, L., Xia, Z., Zhang, M., Du, Q., Bai, F. (2015). Experimental research on breakup of 2D power law liquid film. Chinese Journal of Chemical Engineering, 23(9), pp. 1429–1439. Citations: 3
Li, J.-J., Xia, Z.-Y., Tian, Y. (2015). Experiment on breakup mechanism of impinging jet of power-law liquid. Journal of Aerospace Power, 30(7), pp. 1752–1758. Citations: 1

Janani Priyanka Perumpally Rajakumar | Engineering | Best Researcher Award

Posted on 04/02/202504/02/2025 by ScienceFather

Ms. Janani Priyanka Perumpally Rajakumar | Engineering | Best Researcher Award

Student at Dong-A University, India

Janani Priyanka P.R. is a dedicated researcher specializing in civil and environmental engineering, with a strong academic background and expertise in air quality monitoring, data analysis, and smart city engineering. She has a passion for tackling environmental challenges using advanced technologies such as big data and IoT-based monitoring systems. With multiple Q1 journal publications and international conference presentations, she has demonstrated her ability to contribute impactful research. Her technical proficiency in Python, AutoCAD, C++, and Microsoft tools further enhances her analytical capabilities. She has received notable recognition, including an Editor’s Choice selection for one of her research papers and a Second Paper Award at ICTSCE 2023. She aspires to further her research in sustainable construction and urban planning, aiming to integrate technology and environmental solutions for smarter, safer cities.

Professional Profile

Education

Janani holds a Master’s degree in ICT Integrated Oceanfront Smart City Engineering from Dong-A University, Busan, South Korea, with an impressive GPA of 4.19/5. Her interdisciplinary education integrates architecture, civil, and electronic engineering, providing a comprehensive understanding of sustainable urban development. She previously earned a Bachelor of Technology in Civil Engineering from Adi Shankara Institute of Engineering and Technology, Kerala, India, graduating with an outstanding CGPA of 9.11/10. She ranked second in her department during her undergraduate studies, reflecting her academic excellence. Throughout her academic journey, she actively participated in research projects, technical conferences, and internships, which helped her develop expertise in environmental sustainability, air pollution control, and smart construction methodologies.

Professional Experience

Janani has gained valuable research and industry experience through various internships and projects. She interned at SFS Homes, Kakkanad, where she worked on an ongoing construction project, gaining hands-on experience in structural design and project management. Additionally, she completed an internship at the civil department of FACT Ltd., Eloor, where she explored industrial construction techniques and environmental safety protocols. She has actively participated in international conferences, including ICTSCE 2021 & 2023 and IEEE Big Data 2021, where she presented her research on particulate matter control and toxic gas monitoring. Her research on air pollution control in construction activities, toxic gas detection systems, and sustainable building practices has been widely recognized. With her technical skills in data analysis, programming, and engineering design, she is well-equipped to contribute to innovative solutions in urban development and environmental sustainability.

Research Interest

Janani Priyanka P.R.’s research focuses on air quality monitoring, environmental sustainability, and smart city engineering. She is particularly interested in developing data-driven solutions to address pollution control challenges in urban environments. Her studies explore big data analytics, IoT-based toxic gas monitoring, and particulate matter control measures in construction activities. She has conducted extensive research on real-time gas detection systems for worker safety and efficient air pollution mitigation strategies using advanced technologies. Her interdisciplinary approach integrates civil engineering, environmental science, and data analytics, making her work highly relevant to sustainable urban development. She aspires to further explore machine learning applications in air quality forecasting, climate-resilient infrastructure, and smart urban planning. By leveraging her technical skills in Python, C++, AutoCAD, and MS Project, she aims to contribute to innovative solutions that enhance environmental sustainability and public health in rapidly urbanizing regions.

Awards and Honors

Janani has received several prestigious awards and honors for her academic excellence and research contributions. She was awarded the Second Paper Award at ICTSCE 2023 in Busan, South Korea, recognizing her work in air pollution control and sustainable construction practices. Her research paper published in the Sensors Journal was selected as an Editor’s Choice Article, highlighting its significance in the field of toxic gas detection and worker safety. She has published three Q1 journal articles, a testament to the impact and quality of her research. Additionally, she ranked second in her undergraduate civil engineering department, showcasing her consistent academic excellence. Her Master’s thesis on toxic gas exposure detection received a remarkable score of 94 out of 100, further reinforcing her expertise in environmental monitoring systems. With multiple international conference presentations and impactful research publications, she continues to make significant contributions to sustainable urban engineering and environmental science.

Conclusion

Janani Priyanka P.R. is a strong contender for the Best Researcher Award, given her exceptional academic performance, Q1 publications, technical skills, and international recognition. However, further strengthening through a Ph.D., leadership in research, and interdisciplinary collaborations would enhance her profile further. If she continues on this trajectory, she has high potential to be an outstanding researcher in her field.

Publications Top Noted

Ham, Y.-B., Cheriyan, D., Kim, H.-U., Janani Priyanka, P.R., Choi, J.-H. (2024). “Particulate matter reduction efficiency analysis of sprinkler system as targeted control measures for construction activity.” Heliyon, 10(7), e27765.
- Year: 2024
- Citations: 0
Janani Priyanka, P.R., Cheriyan, D., Choi, J.-H. (2022). “A proactive approach to execute targeted particulate matter control measures for construction works.” Journal of Cleaner Production, 368, 133168.
- Year: 2022
- Citations: 5
Priyanka, J., Cheriyan, D., Choi, J.-H. (2021). “Issues with Current PM Monitoring Techniques and Control Measures and the Way Forward Using Big Data.” Proceedings – 2021 IEEE International Conference on Big Data (Big Data 2021), pp. 5997.
- Year: 2021
- Citations: 1

Dengtian Yang | Computer Science | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Mr. Dengtian Yang | Computer Science | Best Researcher Award

Student at Institute of Microelectronics of the Chinese Academy of Sciences, China

Yang Dengtian is a promising researcher in the field of Circuit and System, currently pursuing his Ph.D. at the Institute of Microelectronics of the Chinese Academy of Sciences. His research interests focus on hardware-software co-optimization, object detection, and hardware acceleration, with key contributions in developing post-processing accelerators for object detection and improving micro-architecture design for GPGPU. Yang’s project experience spans from UAV object detection to the design of System on Chip (SoC) and the deployment of deep learning models on specialized hardware like NVDLA IP. His dedication to advancing technology is reflected in his published works in renowned journals. Yang is a proactive learner, often sharing his findings on blogs, contributing to the academic community’s growth. His work is poised to have a significant impact in fields such as artificial intelligence, hardware design, and computer vision.

Professional Profile

Google Scholar

Education

Yang Dengtian began his academic journey at Xi’an Jiaotong University, where he earned his Bachelor’s degree in Electronic Science and Technology in 2020. His strong foundational knowledge in electronics laid the groundwork for his current research. In 2020, he began his Ph.D. at the Institute of Microelectronics of the Chinese Academy of Sciences, specializing in Circuit and System. His doctoral research has primarily focused on hardware-software co-optimization and advanced object detection systems, areas that combine his deep understanding of both electronics and cutting-edge computing techniques. Yang’s education has been integral in shaping his research pursuits, allowing him to contribute valuable insights into hardware acceleration and the optimization of machine learning systems. His academic journey is ongoing, with an expected completion of his Ph.D. in 2025.

Professional Experience

Yang has worked on several innovative projects throughout his academic career. His recent project, “Learn and Improve Vortex GPGPU,” focuses on understanding GPGPU micro-architecture design and developing improvements for performance optimization. Another notable project was the “Post-Processing Accelerator for Object Detection,” where he investigated hardware-software co-optimization methods, contributing to the development of a unified accelerator system for object detection. In 2023, Yang worked on the “SoC Building and Yolox-Nano Network Deployment Based on NVDLA IP,” where he built an SoC with NVDLA IP and deployed a Yolox-Nano model on a specialized hardware platform. Yang has also worked on solutions to reduce off-chip memory accesses for CNN inference and deployed deep learning models using Vitis-AI. These experiences, along with his publications in renowned journals, highlight his advanced technical expertise and problem-solving abilities in cutting-edge electronics and AI research.

Research Interest

Yang Dengtian’s primary research interest lies in the intersection of Circuit and System design, hardware-software co-optimization, and artificial intelligence (AI). His work focuses on developing hardware accelerators for deep learning applications, particularly in object detection and micro-architecture optimization. He is passionate about creating more efficient systems for processing large-scale data, especially in environments that require real-time processing, such as unmanned aerial vehicles (UAVs) and embedded systems. Yang’s research includes developing GPGPU micro-architectures, improving System on Chip (SoC) designs, and enhancing the deployment of deep learning models on specialized hardware, such as NVDLA IP. His research aims to bridge the gap between hardware capabilities and software needs, making AI applications more accessible and efficient. He is particularly interested in creating unified frameworks for hardware-software co-design, which could significantly advance machine learning and computer vision technologies.

Awards and Honors

Yang Dengtian’s outstanding contributions to research have been recognized through various accolades. His publication in reputable journals, such as Information and IEICE Transactions on Information and Systems, demonstrates the impact of his work in the field of hardware and software co-optimization. While still early in his career, Yang’s commitment to research excellence has already led to numerous recognitions in his academic community. He has also been acknowledged for his innovative projects in hardware acceleration for AI applications, particularly in the development of post-processing accelerators for object detection. Yang’s work is a testament to his technical expertise and his potential for future awards as his research continues to make significant strides in the fields of electronics, AI, and machine learning. Given his promising trajectory, Yang is likely to receive further honors as his doctoral studies progress and his body of work grows.

Conclusion

Yang Dengtian is undoubtedly a strong contender for the Best Researcher Award due to his innovative approach to research, technical expertise, and significant contributions to the field of hardware-software co-design and optimization. His passion for learning, combined with his publications and project experience, highlights his potential to make substantial advancements in his area of study. However, expanding his collaborations and enhancing the practical impact of his research could further solidify his status as a leading researcher in the field.

Recommendation: Yang Dengtian is highly deserving of the Best Researcher Award, with his strengths outweighing areas for improvement. His future contributions are expected to have a lasting impact in the fields of object detection, hardware acceleration, and micro-architecture design.

Publications Top Noted

Title: Nano-carriers of combination tumor physical stimuli-responsive therapies
Authors: W Jin, C Dong, D Yang, R Zhang, T Jiang, D Wu
Journal: Current Drug Delivery
Volume & Issue: 17 (7), 577-587
Year: 2020
Cited by: 7
Title: Object Detection Post Processing Accelerator Based on Co-Design of Hardware and Software
Authors: D Yang, L Chen, X Hao, Y Zhang
Journal: Information
Volume & Issue: 16 (1), 63
Year: 2025
Cited by: Not yet cited (as of 2025)

Volodymyr Polishchuk | Computer Science | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Prof. Volodymyr Polishchuk | Computer Science | Best Researcher Award

Uzhhorod National University, Ukraine

Volodymyr Polishchuk is a distinguished academic specializing in information technology, fuzzy systems, and decision-making models. Currently serving as a Professor at both Uzhhorod National University in Ukraine and the Technical University of Košice in Slovakia, he has made significant contributions to the fields of artificial intelligence, risk assessment, and sustainable tourism. With a career spanning over a decade, he has co-authored numerous publications, including journal articles and book chapters, focusing on the application of advanced decision models in various sectors. His research is internationally recognized, and he is an active member of several academic networks. He is known for his interdisciplinary approach, bridging information technology with real-world challenges such as healthcare, aviation education, and urban development.

Professional Profile

Education

Volodymyr Polishchuk holds a prestigious Doctor of Sciences (DrSc.) degree from Uzhhorod National University, where he also completed his undergraduate and graduate education. His academic journey in information technology, mathematics, and fuzzy systems laid a strong foundation for his future research and teaching. As a professor at the university, he has guided numerous students and collaborated on innovative projects. Additionally, his academic credentials are complemented by his position at the Technical University of Košice in Slovakia, where he continues to contribute to cutting-edge research in his fields of expertise. His educational background supports his broad interdisciplinary approach, allowing him to address complex problems in various domains such as tourism, healthcare, and risk management.

Professional Experience

Professor Polishchuk has been a dedicated faculty member at Uzhhorod National University since 2011, where he teaches and conducts research at the Faculty of Information Technology. Over the years, he has gained recognition for his expertise in decision-making models and fuzzy systems. In addition to his role at Uzhhorod, he has been a professor at the Technical University of Košice, Slovakia. His professional experience extends beyond teaching, as he has collaborated on numerous international research projects and published widely in top-tier journals. He has also worked on hybrid decision models for risk assessment in sectors such as sustainable tourism, healthcare, and aviation education. His leadership in academic research has earned him recognition through various academic platforms, and he continues to actively engage with the global research community.

Research Interests

Volodymyr Polishchuk’s research primarily focuses on information technology, fuzzy systems, and decision-making models, with a particular emphasis on their practical applications across various industries. He is deeply engaged in developing hybrid models for evaluating complex processes, such as tourism sustainability, risk assessment, and healthcare outcomes. His work also explores the integration of artificial intelligence in decision-making, specifically in aviation education and urban development. Additionally, he is interested in the application of multicriteria decision analysis (MCDA) in solving real-world challenges. Polishchuk’s interdisciplinary approach allows him to connect cutting-edge technology with pressing global issues, contributing valuable insights to sectors like smart cities, start-up financing, and pandemic management. His research has significant implications for optimizing resource allocation, improving system efficiency, and mitigating risks in both public and private sectors.

Awards and Honors

Throughout his academic career, Volodymyr Polishchuk has earned several prestigious honors and recognition for his contributions to research and education. His interdisciplinary approach to problem-solving has led to numerous successful collaborations with leading academic and industry experts across Europe. He has been acknowledged by his peers for his innovative contributions to the fields of fuzzy logic, decision support systems, and sustainability models. Polishchuk’s research papers are widely cited, indicating the significant impact his work has had on the academic community. His exceptional leadership in research has also helped foster international collaborations, particularly in the development of sustainable tourism models and risk assessment frameworks for emerging sectors. His continued excellence in academia and research is further demonstrated by his involvement in high-impact projects and his active participation in global conferences.

Publications Top Noted

Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations
- Authors: Antoško, M., Polishchuk, V., Kelemen, M., Korniienko, A., Kelemen, M.
- Year: 2025
- Journal: Applied Sciences (Switzerland)
- Volume: 15(1), 308
- Citations: 0
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2025
- Journal: Expert Systems
- Volume: 42(1), e13443
- Citations: 1
On Convergence of the Uniform Norm and Approximation for Stochastic Processes from the Space Fψ(Ω)
- Authors: Rozora, I., Mlavets, Y., Vasylyk, O., Polishchuk, V.
- Year: 2024
- Journal: Journal of Theoretical Probability
- Volume: 37(2), pp. 1627–1653
- Citations: 0
THE IMPACT OF DIGITAL DISINFORMATION ON QUALITY OF LIFE: A FUZZY MODEL ASSESSMENT
- Authors: Gavurova, B., Moravec, V., Hynek, N., Petruzelka, B., Stastna, L.
- Year: 2024
- Journal: Technological and Economic Development of Economy
- Volume: 30(4), pp. 1120–1145
- Citations: 0
An information-analytical system for assessing the level of automated news content according to the population structure – A platform for media literacy system development
- Authors: Gavurova, B., Skare, M., Hynek, N., Moravec, V., Polishchuk, V.
- Year: 2024
- Journal: Technological Forecasting and Social Change
- Volume: 200, 123161
- Citations: 0
Decision Support System Regarding the Possibility of Financing Cross-Border Cooperation Projects
- Authors: Polishchuk, V., Kelemen, M., Polishchuk, I., Kelemen, M.
- Year: 2024
- Conference: CEUR Workshop Proceedings
- Volume: 3702, pp. 58–71
- Citations: 0
Hybrid Mathematical Model of Risk Assessment of UAV Flights Over Airports
- Authors: Polishchuk, V., Kelemen, M., Kelemen, M., Scerba, M.
- Year: 2024
- Conference: New Trends in Civil Aviation
- Citations: 0
A Fuzzy Multicriteria Model of Sustainable Tourism: Examples From the V4 Countries
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2024
- Journal: IEEE Transactions on Engineering Management
- Volume: 71, pp. 12182–12193
- Citations: 6
Fuzzy multicriteria evaluation model of cross-border cooperation projects under resource curse conditions
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2023
- Journal: Resources Policy
- Volume: 85, 103871
- Citations: 3
A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries

Authors: Skare, M., Gavurova, B., Polishchuk, V., Nawazish, M.
Year: 2023
Journal: Technological Forecasting and Social Change
Volume: 193, 122609
Citations: 7

Yanfang Liu | Agricultural and Biological Sciences | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Prof. Dr. Yanfang Liu | Agricultural and Biological Sciences | Best Researcher Award

Deputy Director at Institute of Edible Fungi, Shanghai, China

Prof. Dr. Yanfang Liu is a distinguished researcher and academic leader in the field of edible and medicinal fungi. She serves as the deputy director of the Processing Technology Research Laboratory at the Edible Fungi Research Institute of the Shanghai Academy of Agricultural Sciences. Dr. Liu’s research primarily focuses on polysaccharides and functional components in fungi, with particular interest in structural characterization, activity evaluation, and quality control. She has published extensively in prominent journals and is an influential figure in various academic societies, holding leadership roles in the Chinese Mycological Society and the Chinese Society of Food Science and Technology. Additionally, Dr. Liu has contributed significantly to the academic community as a reviewer for several SCI journals and has international experience as a visiting scholar at the Guelph Food Research Center in Canada.

Professional Profile

Scopus Profile

Education

Dr. Liu holds a strong educational background that complements her extensive research expertise. She earned her academic qualifications through rigorous studies and professional development. In addition to her academic degrees, Dr. Liu has expanded her knowledge globally with international exposure, notably her time as a visiting scholar at the Guelph Food Research Center. This experience enriched her perspective and advanced her research approach in the areas of food science and technology, specifically in edible fungi and polysaccharide research. Her solid foundation in education, combined with her leadership roles in various academic societies, reinforces her standing as a respected scholar in her field.

Professional Experience

Dr. Liu’s professional experience spans leadership, research, and academic roles. She is the deputy director of the Processing Technology Research Laboratory at the Edible Fungi Research Institute of the Shanghai Academy of Agricultural Sciences, where she leads cutting-edge research in the area of edible fungi. In addition to her research roles, Dr. Liu serves as a master’s supervisor at Shanghai Ocean University and Shanghai University of Technology, guiding the next generation of food science professionals. Her expertise extends beyond research into academic service as a reviewer for prestigious journals and an editorial board member. She is also actively involved in professional societies, holding leadership roles such as deputy director of the Medicinal Fungi Committee of the Chinese Edible Fungi Association. Her leadership and dedication to her profession have established her as a key figure in food science and mycology.

Research Interest

Dr. Yanfang Liu’s research primarily focuses on the structural characterization, activity evaluation, and quality control methods of polysaccharides and other functional components in edible and medicinal fungi. Her work delves into the intricate relationships between the structure and biological activity of these compounds, with a specific emphasis on their potential health benefits. Dr. Liu’s research has profound implications in various areas, including anti-hyperuricemia, anti-tumor activities, and improving gut microbiota. She also investigates the preparation technology of these functional components, aiming to optimize their applications in food and medicine. Through her work, Dr. Liu has contributed significantly to understanding the therapeutic potential of fungal polysaccharides and continues to lead groundbreaking studies on their biological and pharmacological properties.

Awards and Honors

Throughout her career, Dr. Yanfang Liu has received numerous awards and honors recognizing her outstanding contributions to food science and mycology. Her leadership and research have made a lasting impact on the scientific community, and she has been acknowledged for her excellence through various positions of responsibility. Dr. Liu’s roles as deputy director of multiple committees within the Chinese Mycological Society and the Chinese Society of Food Science and Technology further highlight her recognition in the field. Additionally, her academic achievements have been celebrated through prestigious fellowships and the recognition of her published work in high-impact scientific journals. These accolades serve as a testament to her exceptional commitment to advancing research on edible and medicinal fungi, making her a leading figure in her area of expertise.

Conclusion

Prof. Dr. Yanfang Liu is an exceptionally qualified candidate for the Best Researcher Award. Her leadership, international experience, and contributions to functional components in edible and medicinal fungi demonstrate the depth and breadth of her research impact. Her work continues to shape significant advancements in the field of food science and technology, and her service to the academic community further strengthens her candidacy. With minor improvements in public engagement and broader interdisciplinary collaboration, she can further amplify her research’s reach and impact. Overall, she is an outstanding candidate deserving of the Best Researcher Award.

Publications Top Noted

Article: A screening strategy for bioactive peptides from enzymolysis extracts of Lentinula edodes based on molecular docking and molecular dynamics simulation
Authors: Chen, D., Shen, X., Chen, W., … Li, W., Yang, Y.
Journal: Journal of Future Foods, 2025, 5(4), pp. 388–397
Citations: 0
Article: Innovative submerged directed fermentation: Producing high molecular weight polysaccharides from Ganoderma lucidum
Authors: Guo, J., Tang, C., Liu, Y., … Feng, J., Zhang, J.
Journal: Food Chemistry, 2025, 471, 142759
Citations: 0
Article: Anti-hyperuricemia effects of a polysaccharide-protein complex from Lentinula edodes mediated by gut-kidney axis
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