Category: Biography

Evaluation of Mr. Léo STACCIOLI for the Best Researcher Award

Mr. Léo STACCIOLI’s work exemplifies the qualities sought for the Best Researcher Award. His pioneering research, dedication to sustainability, and outstanding academic contributions position him as a leading figure in Environmental Science. With a career marked by innovation and collaboration, he is undoubtedly a deserving candidate for this prestigious award. His ongoing efforts continue to shape the future of environmental research and contribute meaningfully to global sustainability goals.

EARLY ACADEMIC PURSUITS 🎓

Léo Staccioli’s academic journey began with a strong foundation in environmental sciences. His undergraduate and postgraduate studies focused on understanding the intricate relationships between human activities and the natural world. His early research explored the impacts of pollution on ecosystems, which led to his interest in developing sustainable solutions for environmental conservation.

PROFESSIONAL ENDEAVORS 💼

Staccioli’s professional career spans multiple roles in environmental research and policy, primarily at ARDITEC, where he leads projects on sustainable resource management. His work involves both applied research and consultancy, collaborating with governmental and private organizations to develop effective environmental strategies. He has contributed significantly to international climate action initiatives and green technologies.

ACADEMIC CITES 📚

Mr. Staccioli’s work is frequently cited in scientific literature, reflecting his influence on environmental science. His research articles on climate change mitigation and environmental policy have garnered attention for their innovative solutions to pressing ecological problems. His citations have contributed to a broader understanding of environmental science and sustainable practices in both academia and industry.

CONTRIBUTIONS AND RESEARCH FOCUS ON ENVIRONMENTAL SCIENCE 🔬

Mr. Staccioli has focused his research on sustainable energy systems, climate resilience, and ecosystem restoration. His interdisciplinary approach addresses the environmental challenges posed by urbanization, deforestation, and resource depletion. Through ARDITEC, he has spearheaded cutting-edge projects that combine scientific research with real-world applications, advancing sustainable technologies in environmental protection.

IMPACT AND INFLUENCE 🌱

Léo Staccioli’s work has had a profound impact on environmental science and policy. His contributions to climate change mitigation and the promotion of eco-friendly technologies have influenced environmental practices worldwide. His research has helped shape international policy frameworks and raised awareness about the importance of sustainability, making him a key figure in the global environmental movement.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As an influential environmental scientist, Mr. Staccioli’s legacy will be marked by his commitment to sustainable development and environmental protection. Looking ahead, he aims to expand his research in emerging environmental challenges, including biodiversity conservation and sustainable agriculture. His future contributions will continue to inspire future generations of environmental scientists and policy makers.

CONCLUSION 🏆

Mr. Léo Staccioli’s career is a testament to the power of scientific research in addressing global environmental issues. His continued contributions to sustainable practices, combined with his leadership in environmental science, will leave a lasting legacy in the fight against climate change. Through his work, Staccioli demonstrates the critical role that innovative research plays in shaping a more sustainable future for our planet.

NOTABLE PUBLICATIONS 📚

A life cycle assessment model to evaluate the environmental sustainability of lignin-based polyols

Authors: Léo Staccioli, Andreia Maria Rodrigues dos Santos, José Gallego, Ana Kalliola, Olesya Fearon, Pablo Ortiz, Walter Pitacco, Ana Carvalho
Journal: Sustainable Production and Consumption

Ron Waksman | Cardiology | Best Researcher Award

Posted on 12/12/202412/12/2024 by sciencefather

Dr. Ron Waksman | Cardiology | Best Researcher Award

👨‍⚕️Dr. Ron Waksman, MedStar Health, United States

Dr. Ron Waksman is a prominent figure in the field of cardiology, currently serving as the Director of Cardiovascular Research and Advanced Education at MedStar Heart & Vascular Institute. With an academic background spanning multiple continents, he has established himself as a leading expert in interventional cardiology and cardiovascular research. His vast professional journey reflects a dedication to advancing cardiovascular medicine and educating future generations of physicians.

Author Professional Profile

Evaluation of Ron Waksman, MD, FACS for the Best Researcher Award

Summary of Suitability

Dr. Ron Waksman is an outstanding candidate for the Best Researcher Award. His unparalleled contributions to cardiovascular medicine through research, clinical innovation, and academic leadership are well-aligned with the criteria for this recognition. His legacy of impactful work and dedication to advancing the field make him a deserving recipient of this prestigious award.

EARLY ACADEMIC PURSUITS 🎓

Dr. Waksman’s academic journey began at the Hebrew University in Jerusalem, where he earned his Bachelor of Science in Statistics, Economics, and Business Administration in 1975. His medical education continued at Ben Gurion University in Beer-Sheva, Israel, where he graduated with a Medical Degree (MD) in 1981. His commitment to further specialization led him to multiple prestigious institutions for residency and fellowships, including Emory University and Hadassah University Hospital.

PROFESSIONAL ENDEAVORS 💼

Dr. Waksman’s professional career includes significant roles in both academic and clinical settings. He has been a clinical professor of medicine at Georgetown University since 2001 and has served as the Associate Director of the Division of Cardiology at MedStar Washington Hospital Center. His leadership in cardiovascular research and innovation is showcased through his role in pioneering experimental angioplasty and advancing new technologies in cardiovascular care.

ACADEMIC CITES 🔬

Dr. Waksman’s impact on cardiology extends beyond clinical practice, with numerous publications in top-tier journals. He has been recognized for his contributions to advancing interventional cardiology, particularly in areas of experimental angioplasty, vascular brachytherapy, and innovative cardiovascular therapies. He also serves on several editorial boards and holds the position of Editor-in-Chief for Cardiovascular Revascularization Medicine.

CONTRIBUTIONS AND RESEARCH FOCUS ON Cardiology 🔍

Dr. Waksman’s research has contributed to many groundbreaking studies in cardiovascular medicine. His role as a principal investigator in numerous pivotal clinical trials, such as IRIS and WRIST, has helped shape the landscape of interventional cardiology. His research interests include enhancing the outcomes of angioplasty, improving cardiovascular device technologies, and exploring new therapies for vascular diseases.

IMPACT AND INFLUENCE 🌍

Dr. Waksman’s influence is felt across the global cardiology community. Through his extensive clinical experience and research contributions, he has become a mentor and educator, shaping the future of interventional cardiology. His work has had a lasting impact on medical practice and patient outcomes, especially in the areas of heart disease and vascular interventions.

LEGACY AND FUTURE CONTRIBUTIONS ⏳

Dr. Waksman’s legacy will be defined by his contributions to cardiovascular research, education, and innovation. His work continues to inspire the next generation of cardiologists, and his future contributions will likely focus on advancing minimally invasive techniques and developing novel therapies for cardiovascular diseases. His leadership in clinical trials will ensure that his influence remains strong in shaping the future of interventional cardiology.

CONCLUSION 🏁

Dr. Ron Waksman stands as a leader in the field of cardiology, with a distinguished career spanning education, research, and clinical practice. His dedication to improving patient care, advancing medical knowledge, and educating future cardiologists ensures his lasting impact on the field. As he continues his work, Dr. Waksman’s contributions will no doubt shape the future of cardiovascular medicine for years to come.

NOTABLE TOP PUBLICATIONS

Late thrombosis in drug-eluting coronary stents after discontinuation of antiplatelet therapy

Authors: EP McFadden, E Stabile, E Regar, E Cheneau, ATL Ong, T Kinnaird, …
Journal: The Lancet
Year: 2004

Consensus and future directions on the definition of high on-treatment platelet reactivity to adenosine diphosphate

Authors: L Bonello, US Tantry, R Marcucci, R Blindt, DJ Angiolillo, R Becker, …
Journal: Journal of the American College of Cardiology
Year: 2010

Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants

Authors: Schwartz Stephen M, Siscovick David S, …
Journal: Nature Genetics
Year: 2009

Temporary scaffolding of coronary arteries with bioabsorbable magnesium stents: a prospective, non-randomised multicentre trial

Authors: R Erbel, C Di Mario, J Bartunek, J Bonnier, B de Bruyne, FR Eberli, P Erne, …
Journal: The Lancet
Year: 2007

Consensus and update on the definition of on-treatment platelet reactivity to adenosine diphosphate associated with ischemia and bleeding

Authors: US Tantry, L Bonello, D Aradi, MJ Price, YH Jeong, DJ Angiolillo, …
Journal: Journal of the American College of Cardiology
Year: 2013

Correlates and long-term outcomes of angiographically proven stent thrombosis with sirolimus- and paclitaxel-eluting stents

Authors: PK Kuchulakanti, WW Chu, R Torguson, P Ohlmann, SW Rha, LC Clavijo, …
Journal: Circulation
Year: 2006

The impact of obesity on the short-term and long-term outcomes after percutaneous coronary intervention: the obesity paradox?

Authors: L Gruberg, NJ Weissman, R Waksman, S Fuchs, R Deible, EE Pinnow, …
Journal: Journal of the American College of Cardiology
Year: 2002

Transcatheter aortic valve implantation in failed bioprosthetic surgical valves

Authors: D Dvir, JG Webb, S Bleiziffer, M Pasic, R Waksman, S Kodali, M Barbanti, …
Journal: JAMA
Year: 2014

Intracoronary γ-radiation therapy after angioplasty inhibits recurrence in patients with in-stent restenosis

Authors: R Waksman, RL White, RC Chan, BG Bass, L Geirlach, GS Mintz, …
Journal: Circulation
Year: 2000

Safety and efficacy of drug-eluting and bare metal stents: comprehensive meta-analysis of randomized trials and observational studies

Authors: AJ Kirtane, A Gupta, S Iyengar, JW Moses, MB Leon, R Applegate, …
Journal: Circulation
Year: 2009

Oliver. O Apeh | Energy | Excellence in Research

Posted on 11/12/202411/12/2024 by sciencefather

Dr. Oliver. O Apeh | Energy | Excellence in Research

Dr. Oliver. O Apeh, University of Johannesburg, South Africa

Dr. Oliver Okechukwu Apeh is a distinguished academic and researcher in the field of Physics, specializing in solar energy, smart energy systems, and data science. He is currently a lecturer at Eduvos Higher Institution and a postdoctoral research fellow at the University of Johannesburg. With a deep passion for advancing energy systems, Dr. Apeh has contributed significantly to understanding the Food-Energy-Water Nexus and machine learning applications for solar energy. His research aims to drive sustainable solutions for energy access and digital transformation in the energy sector. He holds a Ph.D. in Physics from the University of Fort Hare, South Africa, and several other advanced qualifications in Physics and Astronomy.

Professional Profile

Summary of Suitability for the Research for Excellence in Research Award

Oliver Okechukwu Apeh (Ph.D.) is a highly qualified and accomplished academic whose extensive background in physics, solar energy, and innovative research positions him as an ideal candidate for the Research for Excellence in Research award. With a Ph.D. in Physics from the University of Fort Hare, South Africa, his research has focused on the performance of solar photovoltaic systems under various meteorological conditions, showcasing his commitment to advancing sustainable energy technologies. His interdisciplinary approach, combining machine learning, blockchain, and energy systems, addresses critical global issues such as the Food-Energy-Water Nexus and digital transformation in energy applications.

Dr. Apeh’s extensive teaching and mentoring roles at prestigious institutions, including the University of Johannesburg and Eduvos Higher Institution, demonstrate his ability to inspire and supervise emerging researchers at the undergraduate and postgraduate levels.

Education

Dr. Apeh’s academic journey reflects a strong commitment to advancing in both theoretical and practical aspects of physics and energy. He earned his Ph.D. in Physics from the University of Fort Hare in November 2021, with a thesis on solar photovoltaic systems. He also holds an M.Sc. in Physics and Astronomy from the University of Nigeria, Nsukka, where he specialized in solar energy and materials science. Additionally, he has a Postgraduate Certificate in Education (PGCE) from the National Open University of Nigeria, focusing on physics education, and a B.Sc. in Physics and Astronomy. Dr. Apeh’s solid educational background supports his innovative research in sustainable energy systems and technologies.

Professional Experience

Dr. Apeh’s professional experience spans both academic and practical roles, where he has significantly impacted research and education. He has worked as a lecturer at Eduvos Higher Institution in South Africa since 2023, where he teaches undergraduate courses, supervises honor students, and conducts research on energy and water systems. He also holds a postdoctoral fellowship at the University of Johannesburg, focusing on machine learning and blockchain technologies for energy systems. Additionally, he has held several academic roles, including research assistant and lecturer, where he contributed to teaching, research, and administrative duties, shaping future leaders in physics and energy systems.

Awards and Recognition

Dr. Apeh’s outstanding contributions to the field of solar energy and energy systems have earned him recognition from various academic and professional bodies. His research on the Food-Energy-Water Nexus and applications of machine learning in solar energy has led to publications in renowned journals. He has also been recognized for his role in physics education and technical writing, receiving accolades for mentoring students and contributing to the growth of the scientific community. His efforts in advancing smart energy systems and data science applications have established him as a key figure in sustainable energy research.

Research Skills On Energy

Dr. Apeh is highly skilled in various research methodologies, particularly in the application of machine learning and data science to solar energy systems. His expertise includes analyzing meteorological conditions for photovoltaic performance, developing smart energy systems, and exploring blockchain solutions for energy management. Additionally, Dr. Apeh is experienced in synthesizing nanostructured materials for energy applications and studying the Food-Energy-Water Nexus. His work demonstrates a strong understanding of energy systems and sustainability, underpinned by his proficiency in both theoretical analysis and experimental techniques.

Publication Top Notes

Contributions of solar photovoltaic systems to environmental and socioeconomic aspects of national development—A review

Authors: OO Apeh, EL Meyer, OK Overen
Citation: Energies 15 (16), 5963
Year: 2022

Monthly, seasonal and yearly assessments of global solar radiation, clearness index and diffuse fractions in Alice, South Africa

Authors: OO Apeh, OK Overen, EL Meyer
Citation: Sustainability 13 (4), 2135
Year: 2021

Properties of nanostructured ZnO thin films synthesized using a modified aqueous chemical growth method

Authors: OO Apeh, UK Chime, S Agbo, S Ezugwu, R Taziwa, E Meyer, P Sutta, …
Citation: Materials Research Express 6 (5), 056406
Year: 2019

Electrical and meteorological data acquisition system of a commercial and domestic microgrid for monitoring PV parameters

Authors: EL Meyer, OO Apeh, OK Overen
Citation: Applied Sciences 10 (24), 9092
Year: 2020

Performance evaluation of Bi2O3@GO and Bi2O3@rGO composites electrode for supercapacitor application

Authors: SM Mbam, RM Obodo, OO Apeh, AC Nwanya, ABC Ekwealor, N Nwulu, …
Citation: Journal of Materials Science: Materials in Electronics 34 (18), 1405
Year: 2023

Contributions of Solar Photovoltaic Systems to Environmental and Socioeconomic Aspects of National Development—A Review

Authors: OO Apeh, EL Meyer, OK Overen
Citation: Energies 2022, 15, 5963
Year: 2022

Modeling and experimental analysis of battery charge controllers for comparing three off-grid photovoltaic power plants

Authors: OO Apeh, EL Meyer, OK Overen
Citation: Heliyon 7 (11)
Year: 2021

A hybrid solar–biogas system for post-COVID-19 rural energy access

Authors: OK Overen, KC Obileke, EL Meyer, G Makaka, OO Apeh
Citation: Clean Energy 8 (1), 84-99
Year: 2024

The Food‑Energy‑Water Nexus Optimization: A Systematic Literature Review

Authors: OO Apeh, N Nwulu
Citation: Research on World Agricultural Economy 5 (4)
Year: 2024

Iustina Ivanova | Computer Science | Best Researcher Award

Posted on 11/12/202411/12/2024 by sciencefather

Mrs. Iustina Ivanova | Computer Science | Best Researcher Award

Mrs. Iustina Ivanova, FBK, Italy

Iustina Ivanova is an accomplished researcher in the field of Artificial Intelligence (AI) with a focus on computer vision and machine learning applications in real-world scenarios. She holds a Master’s degree in Artificial Intelligence from the University of Southampton, where she earned distinction for her research on neural networks for object detection. Currently, Iustina is engaged in AI research in smart agriculture at the Foundazione Bruno Kessler in Italy. Over the years, she has contributed to a variety of high-impact projects, including developing a recommender system for outdoor sport climbers and researching sensors for sports activity analysis. Her work has earned her several well-regarded publications and recognition in the AI and computer vision communities.

Professional Profile

Summary of Suitability for the Research for Best Researcher Award

Iustina Ivanova demonstrates exceptional qualifications for the “Research for Best Researcher Award.” Her academic background, professional experience, and research contributions highlight her significant impact on the fields of artificial intelligence (AI), machine learning, and computer vision. Her academic journey is distinguished by a Master’s degree in Artificial Intelligence with distinction from the University of Southampton and ongoing research pursuits during her Ph.D. studies. While her Ph.D. remains incomplete, the work she has undertaken—such as her contributions to recommender systems and computer vision—showcases her ability to address complex, real-world problems.

Professionally, Iustina’s research experience is diverse and impactful. At the Foundazione Bruno Kessler, she has been actively involved in applying AI to smart agriculture, addressing sustainability and innovation in the domain. Her previous roles, including as a Computer Vision Data Scientist and Data Science Moderator, further demonstrate her ability to bridge academia and industry.

Education

Iustina Ivanova has an impressive academic background in computer science and AI. She completed her Master of Science in Artificial Intelligence with distinction at the University of Southampton, UK, in 2018. Before that, she earned a Specialist degree in Software Engineering from Bauman Moscow State Technical University, Russia, in 2013. In 2019, she pursued a PhD in Computer Science at the Free University of Bolzano, Italy, although she later decided to focus more on practical AI applications. Her academic journey includes notable achievements such as developing research in neural networks for object detection, which has been the cornerstone of her professional career in AI.

Professional Experience

Iustina Ivanova has a diverse and robust professional background in AI and computer vision. She currently works as a researcher at the Foundazione Bruno Kessler, Italy, specializing in the use of AI for smart agriculture. Prior to this, Iustina served as a Data Science Moderator at Netology, Russia, where she designed and delivered online courses in statistics and mathematics for data science students. She also worked as a Computer Vision Data Scientist at OCRV, Russia, where she helped develop a video-based tracking system for railway workers, focusing on object detection and worker time measurement. Iustina’s role as a teacher of informatics and mathematics at Repetitor.ru involved preparing high school students for their final exams, ensuring that many students successfully entered top universities. Throughout her career, she has collaborated on numerous innovative projects in AI, particularly in outdoor sports and smart agriculture.

Awards and Recognition

Iustina Ivanova’s dedication and excellence in the field of AI have been recognized through multiple prestigious awards and accolades. Notably, she won several editions of the NOI Hackathon, including the SFSCON Edition (2021, 2022, 2024) and the Open Data Hub Edition (2022), showcasing her ability to create cutting-edge solutions in AI and data science. Her contributions to research and development in AI for sports activity analysis and computer vision have been published in highly regarded journals and conferences, such as the ACM Conference on Recommender Systems and IEEE Conferences. Iustina has also received recognition for her teaching contributions, inspiring future generations of data scientists. Her projects, especially those related to sports climbers’ recommender systems and sensor data analysis, have received wide acclaim for their innovation and real-world impact.

Research Skills On Computer Science

Iustina Ivanova’s research expertise spans artificial intelligence, machine learning, computer vision, and recommender systems. She is particularly skilled in using AI techniques to solve complex problems in real-world applications. Her work with neural networks for object detection and sensor data analysis has led to significant advancements in both sports and smart agriculture sectors. Iustina is proficient in Python, OpenCV, machine learning frameworks like PyTorch and TensorFlow, and data analysis tools such as Jupyter Notebook and Git. She is well-versed in the development of recommender systems and has implemented innovative solutions for outdoor sports, including climbing crag recommendations. Her interdisciplinary approach combines knowledge from software engineering, data science, and AI to design systems that enhance user experience and improve decision-making. Iustina is committed to the continual development of her skills, evident in her participation in advanced data science and deep learning courses, as well as her extensive practical work in AI.

Publication Top Notes

Climbing crags repetitive choices and recommendations
- Author: Ivanova, I.
- Citation: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
- Year: 2023
- Pages: 1158–1164
How can we model climbers’ future visits from their past records?
- Authors: Ivanova, I., Wald, M.
- Citation: UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2023
- Pages: 60–65
Introducing Context in Climbing Crags Recommender System in Arco, Italy
- Authors: Ivanova, I.A., Wald, M.
- Citation: International Conference on Intelligent User Interfaces, Proceedings IUI
- Year: 2023
- Pages: 12–15
Climbing crags recommender system in Arco, Italy: a comparative study
- Authors: Ivanova, I., Wald, M.
- Citation: Frontiers in Big Data
- Year: 2023
- Volume: 6, Article: 1214029
Map and Content-Based Climbing Recommender System
- Authors: Ivanova, I.A., Buriro, A., Ricci, F.
- Citation: UMAP2022 – Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2022
- Pages: 41–45
Climbing Route Difficulty Grade Prediction and Explanation
- Authors: Andric, M., Ivanova, I., Ricci, F.
- Citation: ACM International Conference Proceeding Series
- Year: 2021
- Pages: 285–292
Climber behavior modeling and recommendation
- Author: Ivanova, I.
- Citation: UMAP 2021 – Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2021
- Pages: 298–303
Knowledge-based recommendations for climbers
- Authors: Ivanova, I., Andrić, M., Ricci, F.
- Citation: CEUR Workshop Proceedings
- Year: 2021
- Volume: 2960
Climbing activity recognition and measurement with sensor data analysis
- Authors: Ivanova, I., Andric, M., Janes, A., Ricci, F., Zini, F.
- Citation: ICMI 2020 Companion – Companion Publication of the 2020 International Conference on Multimodal Interaction
- Year: 2020
- Pages: 245–249
Video and Sensor-Based Rope Pulling Detection in Sport Climbing
- Authors: Ivanova, I., Andrić, M., Moaveninejad, S., Janes, A., Ricci, F.
- Citation: MMSports 2020 – Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports
- Year: 2020
- Pages: 53–60

Nikolaos Freris | Robotics | Best Researcher Award

Posted on 11/12/202411/12/2024 by sciencefather

Prof. Dr. Nikolaos Freris | Robotics | Best Researcher Award

Prof. Dr. Nikolaos Freris, University of Science and Technology of China, China

Dr. Nikolaos M. Freris is a distinguished academic and researcher specializing in computer science, robotics, and artificial intelligence. Currently serving as a professor and Vice Dean at the University of Science and Technology of China (USTC), he leads the AIoT Laboratory, advancing cutting-edge innovations in distributed learning and cyber-physical systems. Dr. Freris earned his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, graduating with a perfect GPA of 4.0/4.0. With extensive international experience, including positions at IBM Research, EPFL, and NYU Abu Dhabi, his work bridges theoretical advancements and practical applications in intelligent systems. A prolific speaker and educator, he has delivered numerous keynotes and distinguished lectures worldwide. His passion for innovation and knowledge-sharing solidifies his reputation as a leader in AI-driven technologies, fostering global collaborations and pioneering impactful research.

Professional Profile

Prof. Dr. Nikolaos Freris Summary of Suitability for the Award

Nikolaos M. Freris is an exceptionally accomplished researcher and academic, making him a strong candidate for the Research for Best Researcher Award. His educational background is impeccable, with a Ph.D. in Electrical and Computer Engineering and two master’s degrees (Mathematics and Electrical & Computer Engineering) from the University of Illinois at Urbana-Champaign, all earned with perfect GPAs. His work bridges cutting-edge domains such as systems, decision and control, communication networks, and optimization, demonstrating a deep understanding of complex interdisciplinary challenges.

Professionally, Dr. Freris has held prestigious positions at globally recognized institutions, including his current role as a professor at the University of Science and Technology of China (USTC), where he also serves as Vice Dean of the International College and Director of the AIoT Laboratory.

Education

Dr. Nikolaos M. Freris holds a robust academic foundation in engineering and computer science. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, specializing in systems, decision, and control, and achieving a perfect 4.0/4.0 GPA. During his doctoral studies, his groundbreaking dissertation explored optimization models for wireless networks, including clock synchronization and video streaming. He also earned dual Master’s degrees from the same university in Mathematics and Electrical and Computer Engineering. Prior to his postgraduate pursuits, he graduated summa cum laude with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, where his thesis addressed innovative approaches in biomedical engineering. This exceptional academic journey underpins his expertise in robotics, AI, and distributed systems, driving his impactful research and academic contributions globally.

Professional Experience

Dr. Nikolaos M. Freris boasts a dynamic career in academia and industry. Since 2019, he has been a Professor of Computer Science at USTC, where he directs the AIoT Laboratory, pioneering advances in distributed learning and robotics. He also serves as Vice Dean of the International College, fostering global academic partnerships. Previously, he was an Assistant Professor at NYU Abu Dhabi and a Global Network Assistant Professor at NYU Tandon, leading research on cyber-physical systems. His industry experience includes roles as a Senior Research Scientist at EPFL, managing Qualcomm-funded projects, and as a Postdoctoral Fellow at IBM Research Zurich. His early career featured internships at Deutsche Telekom and Xerox, where he explored innovative computational solutions. With a strong track record of leadership in interdisciplinary projects, Dr. Freris continues to bridge the gap between theoretical research and real-world applications.

Awards and Recognition

Dr. Nikolaos M. Freris is a recipient of numerous prestigious awards recognizing his contributions to computer science and engineering. His academic excellence is reflected in his perfect GPA achievements during his Ph.D. and Master’s studies. He has delivered keynotes at leading conferences such as the International Conference on Internet of Things and AIoT forums. His research on distributed learning, robotics, and AIoT has earned him accolades, including invited talks at institutions like Zhejiang University and international symposiums. As a leader in global academic initiatives, he was recognized for his innovative teaching and impactful research by organizations such as IEEE and CAS. Dr. Freris’s accolades underscore his commitment to advancing intelligent systems and fostering collaborations across disciplines, enhancing the global understanding of cutting-edge technologies.

Research Skills On Robotics

Dr. Nikolaos M. Freris demonstrates exceptional research skills in robotics, distributed systems, and artificial intelligence. His expertise spans optimization theory, machine learning, and cyber-physical systems, with applications in AIoT and intelligent transportation. He specializes in communication-efficient algorithms, real-time data learning, and bio-inspired robotics, contributing to sustainable solutions for modern technological challenges. As the founder and director of AIoT and Cyberphysical Systems Labs, he leads transformative research initiatives that bridge theoretical models and real-world implementation. His methodological rigor and creative problem-solving skills are evident in his widely cited publications and pioneering keynote addresses. Dr. Freris’s ability to synthesize complex systems into actionable innovations positions him as a thought leader in emerging AI and robotics domains.

Publication Top Notes

Title: Randomized extended Kaczmarz for solving least squares

Authors: A. Zouzias, N. M. Freris
Journal: SIAM Journal on Matrix Analysis and Applications
Citations: 349
Year: 2013

Title: Fundamental limits on synchronizing clocks over networks

Authors: N. M. Freris, S. R. Graham, P. R. Kumar
Journal: IEEE Transactions on Automatic Control
Citations: 270
Year: 2010

Title: Fundamentals of large sensor networks: Connectivity, capacity, clocks, and computation

Authors: N. M. Freris, H. Kowshik, P. R. Kumar
Journal: Proceedings of the IEEE
Citations: 151
Year: 2010

Title: A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization

Authors: P. Latafat, N. M. Freris, P. Patrinos
Journal: IEEE Transactions on Automatic Control
Citations: 89
Year: 2019

Title: Fundamental limits on synchronization of affine clocks in networks

Authors: N. M. Freris, P. R. Kumar
Conference: 2007 46th IEEE Conference on Decision and Control
Citations: 79
Year: 2007

Distortion-aware scalable video streaming to multinetwork clients

Authors: N. M. Freris, C. H. Hsu, J. P. Singh, X. Zhu
Journal: IEEE/ACM Transactions on Networking
Citations: 69
Year: 2012

Fast distributed smoothing of relative measurements

Authors: N. M. Freris, A. Zouzias
Conference: 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
Citations: 64
Year: 2012

Multiplayer Stackelberg–Nash game for nonlinear system via value iteration-based integral reinforcement learning

Authors: M. Li, J. Qin, N. M. Freris, D. W. C. Ho
Journal: IEEE Transactions on Neural Networks and Learning Systems
Citations: 56
Year: 2020

A synchrophasor data-driven method for forced oscillation localization under resonance conditions

Authors: T. Huang, N. M. Freris, P. R. Kumar, L. Xie
Journal: IEEE Transactions on Power Systems
Citations: 56
Year: 2020

A model-based approach to clock synchronization

Authors: N. M. Freris, V. S. Borkar, P. R. Kumar
Conference: Proceedings of the 48th IEEE Conference on Decision and Control (CDC)
Citations: 53
Year: 2009

Anitha Pedapati | Horticulture | Women Researcher Award

Posted on 11/12/202411/12/2024 by sciencefather

Dr. Anitha Pedapati | Horticulture | Women Researcher Award

Dr. Anitha Pedapati, ICAR-IIOPR, India

Dr. Anitha Pedapati, a distinguished Senior Scientist at ICAR-Indian Institute of Oil Palm Research (IIOPR), has dedicated her career to advancing horticulture and agricultural research. With 15 years of research experience, Dr. Pedapati specializes in plant genetic resources, focusing on germplasm collection, conservation, and utilization. Her expertise spans a wide range of horticultural crops, including oil palm, fruits, vegetables, and cereals. She has significantly contributed to identifying superior germplasm traits, developing breeding programs, and fostering international germplasm exchange collaborations. Dr. Pedapati has authored extensive publications, demonstrating her commitment to advancing the agricultural community. She resides in Eluru, Andhra Pradesh, where she continues to work on impactful projects that benefit farmers, breeders, and researchers alike.

Professional Profile

Suitability for the Research for Women Researcher Award: Dr. Anitha Pedapati

Dr. Anitha Pedapati demonstrates exceptional qualifications and achievements, making her highly suitable for the Research for Women Researcher Award. With 15 years of dedicated research experience in horticulture, she has significantly contributed to germplasm conservation, biotechnology, and agricultural innovation. Her academic background, with degrees from esteemed institutions such as ANGRU, GKVK, and Dr. YSR Horticultural University, provides a strong foundation for her impactful work.

Dr. Pedapati’s role as a Senior Scientist at the ICAR-Indian Institute of Oil Palm Research has allowed her to lead groundbreaking initiatives. She has developed innovative methodologies for germplasm collection, evaluation, and distribution, directly benefiting farmers, breeders, and researchers. Her identification of dwarf hybrids and development of QTL mapping techniques for oil palm yield traits showcases her expertise in blending traditional agricultural practices with modern biotechnology.

Education

Dr. Anitha Pedapati holds an impressive academic background in horticulture. She earned her B.Sc. in Horticulture from Acharya N.G. Ranga Agricultural University (ANGRU), Hyderabad, in 2005. She pursued her M.Sc. in Post-Harvest Technology of Horticultural Crops at the prestigious University of Agricultural Sciences, GKVK, Bangalore, in 2007. Furthering her expertise, Dr. Pedapati completed her Ph.D. in Horticulture in 2014 at Dr. YSR Horticultural University, Hyderabad. Throughout her academic journey, Dr. Pedapati demonstrated a strong commitment to research, focusing on innovative solutions for crop improvement and post-harvest management. Her education provided a robust foundation for her groundbreaking contributions to agricultural research and development.

Professional Experience

Dr. Anitha Pedapati has served in esteemed institutions, progressing through various roles. She began her career as a Scientist at ICAR-NAARM, Hyderabad, in 2009. Later, she joined ICAR-NBPGR, New Delhi, contributing as a Scientist (Senior Scale) from 2009 to 2017, focusing on germplasm conservation and management. Currently, she holds the position of Senior Scientist at ICAR-IIOPR, Pedavegi, Andhra Pradesh. Over 15 years, Dr. Pedapati has been instrumental in developing methodologies for morphological, phenological, and genetic evaluations. Her efforts in identifying high-yielding, disease-resistant traits have impacted agricultural practices significantly. She actively collaborates on international projects, facilitating germplasm exchange and fostering global partnerships.

Awards and Recognitions

Dr. Anitha Pedapati’s outstanding contributions to horticulture have earned her several awards and recognitions. She has been lauded for her research in germplasm conservation and trait identification, benefiting diverse stakeholders, including farmers, breeders, and researchers. She received multiple accolades for introducing promising horticultural accessions, developing advanced hybrid varieties, and enhancing germplasm exchange globally. Dr. Pedapati’s publications have been recognized in leading journals, reflecting her expertise and commitment to advancing agricultural science. Her efforts in establishing international collaborations and methodologies for genetic resource management underscore her impactful contributions to the field of horticulture.

Research Skills On Horticulture

Dr. Anitha Pedapati possesses exceptional research skills, particularly in germplasm collection, conservation, and evaluation. She specializes in genetic diversity studies, QTL mapping, and marker-assisted breeding, contributing to oil palm and other horticultural crops. Her methodological expertise includes developing databases for germplasm management, conducting biochemical and molecular analyses, and identifying high-yielding, disease-resistant accessions. Dr. Pedapati’s research integrates advanced biotechnological approaches to improve crop productivity and sustainability. Her skills in international collaboration have facilitated the exchange of germplasm globally, impacting crop improvement programs worldwide.

Publication Top Notes

An assessment of faba bean (Vicia faba L.) current status and future prospect

Authors: AK Singh, RC Bharati, NC Manibhushan, A Pedapati
Citation: 308
Year: 2013

Genome wide association study (GWAS) and identification of candidate genes for yield and oil yield related traits in oil palm (Eleaeis guineensis) using SNPs by genotyping

Authors: BK Babu, RK Mathur, G Ravichandran, P Anita, MVB Venu
Citation: 30
Year: 2020

Development and validation of whole genome-wide and genic microsatellite markers in oil palm (Elaeis guineensis Jacq.): First microsatellite database (OpSatdb)

Authors: MR KL, S Sahu, RK Mathur, NK P, A P, B HP
Citation: 30
Year: 2019

Potential of Residual Sulfur and Zinc Nutrition in Improving Powdery Mildew (Erysiphe trifolii) Disease Tolerance of Lentil (Lens culunaris L.)

Authors: AK Singh, KM Singh, RC Bharati, N Chandra, BP Bhatt, A Pedapati
Citation: 22
Year: 2014

Effect of different osmotic pretreatments on weight loss, yield and moisture loss in osmotically dehydrated guava

Authors: A Pedapati, RB Tiwari
Citation: 19
Year: 2014

Combining ability analysis for yield and physiological drought related traits in tomato (Solanum lycopersicum L.) under moistures stress

Authors: A Pedapati, R Reddy, JD BABU, SS KUMAR, N Sunil
Citation: 19
Year: 2013

Genome-wide association study for leaf area, rachis length and total dry weight in oil palm (Elaeis guineensis) using genotyping by sequencing

Authors: BK Babu, RK Mathur, G Ravichandran, P Anitha, MVB Venu
Citation: 16
Year: 2019

Phenomics, genomics of oil palm (Elaeis guineensis Jacq.): way forward for making sustainable and high yielding quality oil palm

Authors: BK Babu, RK Mathur, P Anitha, G Ravichandran, HP Bhagya
Citation: 15
Year: 2021

Genome-wide association study (GWAS) of major QTLs for bunch and oil yield related traits in Elaeis guineensis L.

Authors: K Babu, RK Mathur, MVB Venu, S Shil, G Ravichandran, P Anita, …
Citation: 13
Year: 2021

Effect of different osmotic pre-treatment on sensory quality of osmotically dehydrated guava slices

Authors: A Pedapati, RB Tiwari, AK Singh
Citation: 11
Year: 2014

YINGJUAN CHEN | Agricultural | Best Researcher Award

Posted on 09/12/202409/12/2024 by sciencefather

Prof. YINGJUAN CHEN | Agricultural | Best Researcher Award

Prof. YINGJUAN CHEN, Southwest University, China

Dr. Yingjuan Chen, born in 1986, is a distinguished Professor and Master’s Supervisor at the Department of Tea Science, College of Food Science, Southwest University, China. Her primary research focuses on tea cultivation physiology, tea microbiology, and quality regulation. Dr. Chen has significantly advanced the understanding of pathogenic microorganisms causing tea diseases, their impact on tea metabolism, and the mechanisms behind fermented tea quality formation. Over the years, she has led two National Natural Science Foundation projects and more than 10 provincial and ministerial-level initiatives. With a remarkable research portfolio, Dr. Chen has published 27 scientific papers as the first or corresponding author and holds four national invention patents. Her dedication to innovation and her contributions to the tea science field position her as a leading expert, striving to bridge the gap between academic research and practical applications in tea cultivation and quality management.

Professional Profile

Prof. YINGJUAN CHEN, Summary of Suitability for the Award

Dr. Yingjuan Chen is a highly qualified candidate for the “Research for Best Researcher Award” due to her outstanding contributions to tea science research, particularly in the areas of tea physiology, microbiology, and quality regulation. Her research has significantly advanced the understanding of tea diseases, the role of pathogenic microorganisms, and their effects on tea metabolism and quality. Additionally, her work on the mechanisms underlying the formation of fermented tea quality demonstrates a blend of innovation and practical relevance.

She has an impressive research portfolio, including 27 scientific publications in high-impact journals such as Food Chemistry, Phytopathology, and Plant Disease. These publications focus on key areas like metabolomic profiling, disease impact on tea quality, and the identification of new pathogenic microorganisms affecting tea cultivation.

Education

Dr. Yingjuan Chen obtained her Ph.D. in Tea Science from Southwest University, where she demonstrated exceptional academic achievements. Her doctoral research laid the foundation for her career in tea microbiology and quality regulation. She pursued advanced studies in plant physiology, microbiology, and biochemistry, equipping her with a multidisciplinary perspective to address complex challenges in tea cultivation. Throughout her academic journey, Dr. Chen actively participated in workshops and collaborative research projects, gaining hands-on experience in innovative techniques such as metabolomics and metagenomic analysis. Her educational background has been instrumental in her ability to lead impactful research on tea disease mechanisms and fermented tea quality formation. Dr. Chen’s comprehensive education reflects her unwavering commitment to advancing knowledge in tea science and applying it to improve tea production standards and quality worldwide.

Professional Experience

Dr. Yingjuan Chen has been a Professor and Master’s Supervisor at the Department of Tea Science, Southwest University, China, since completing her Ph.D. Her career is marked by her focus on bridging research and practical solutions in tea cultivation. She has led 12 national and regional projects, including prestigious initiatives under the National Natural Science Foundation. Dr. Chen has also established partnerships with tea enterprises to translate research findings into industry advancements. Her expertise spans tea disease diagnostics, microbial interactions, and the chemical pathways influencing tea quality. She frequently collaborates with global researchers to study tea fermentation processes, pioneering innovative approaches to quality regulation. Additionally, Dr. Chen mentors graduate students, inspiring the next generation of tea scientists. Her professional accomplishments reflect her dedication to enhancing tea production and her role as a prominent figure in the academic and industrial tea science community.

Awards and Recognitions

Dr. Yingjuan Chen has received numerous accolades for her outstanding contributions to tea science. She has been honored with the Outstanding Young Scientist Award by the National Natural Science Foundation and the Excellence in Agricultural Research Award from Southwest University. Her research excellence earned her a spot in the Top 100 Influential Researchers in Tea Science globally. Dr. Chen’s innovative work has been recognized with four national invention patents, demonstrating her ingenuity in tackling complex challenges in tea microbiology and quality regulation. She has also received several regional and institutional awards for her pioneering studies on tea disease mechanisms and fermented tea quality. In addition to these accolades, Dr. Chen actively contributes to academic journals as a reviewer and editor, further solidifying her reputation as a leader in her field. Her recognitions highlight her profound impact on the academic and industrial dimensions of tea science.

Research Skills On Agriculture

Dr. Yingjuan Chen possesses a robust skill set that bridges fundamental and applied research in tea science. Her expertise includes pathogen identification, metabolomics, and metagenomics, allowing her to unravel the complexities of tea diseases and their impact on quality. She excels in microbial ecology and biochemical pathway analysis, which she applies to study the role of microorganisms in fermented tea quality formation. Dr. Chen’s proficiency in advanced laboratory techniques such as HPLC, GC-MS, and data modeling equips her to conduct cutting-edge research. She is also skilled in designing field experiments to evaluate the interaction between environmental factors and tea quality. Her collaborative approach has enabled her to integrate multidisciplinary methodologies and global insights into her projects. Dr. Chen’s innovative mindset and meticulous research practices have led to significant discoveries in tea science, reinforcing her reputation as a scientific pioneer.

Publication Top Notes

The unique aroma of ripened Pu-erh tea, Liupao tea, and Tietban tea: Associated post-fermentation condition and dominant microorganism with key aroma-active compound

- Authors: Weng, Y., Chen, L., Kun, J., Tong, H., Chen, Y.
- Journal: Food Chemistry
- Year: 2025

Amino acids and flavonoids analysis reveals quality constituents difference among different albino tea resources

- Authors: Chen, Y., Han, Y., Tong, H.
- Journal: Food Chemistry
- Year: 2024
- Volume: 449
- Article Number: 139200
- Citations: 4

Effect of blister blight disease caused by Exobasidium on tea quality

- Authors: Han, Y., Deng, X., Tong, H., Chen, Y.
- Journal: Food Chemistry: X
- Year: 2024
- Volume: 21
- Article Number: 101077
- Citations: 3

Effect of Atractylodes essential oil on different Colletotrichum species causing tea brown blight disease

- Authors: Wan, Y., Chen, Q., Xu, W., Chen, Y.
- Journal: Scientia Horticulturae
- Year: 2024
- Volume: 324
- Article Number: 112610
- Citations: 1

Metabolites and metagenomic analysis reveals the quality of Pu-erh “tea head”

- Authors: He, S., Deng, X., Han, Y., Tong, H., Chen, Y.
- Journal: Food Chemistry
- Year: 2023
- Volume: 429
- Article Number: 136992
- Citations: 7

Sensory-directed isolation and identification of an intense salicin-like bitter compound in infected teas with bird’s eye spot disease

- Authors: Yan, J., Miao, Y., Zhou, J., Tong, H., Meng, Q.
- Journal: Food Research International
- Year: 2023
- Volume: 173
- Article Number: 113272

Metabolites profiling reveals the dynamic changes of non-volatiles in Pu-erh during Ganpu tea processing

- Authors: Deng, X., He, S., Han, Y., Chen, Y.
- Journal: Food Chemistry: X
- Year: 2023
- Volume: 19
- Article Number: 100774
- Citations: 4

Non-volatile metabolites profiling analysis reveals the tea flavor of “Zijuan” in different tea plantations

- Authors: Chen, Y., Yang, J., Meng, Q., Tong, H.
- Journal: Food Chemistry
- Year: 2023
- Volume: 412
- Article Number: 135534
- Citations: 19

Characterization of triterpenoids as possible bitter-tasting compounds in teas infected with bird’s eye spot disease

- Authors: Yan, J., Lu, A., Kun, J., Meng, Q., Tong, H.
- Journal: Food Research International
- Year: 2023
- Volume: 167
- Article Number: 112643
- Citations: 7

Metabolomics Analysis Reveals the Effect of Two Alpine Foliar Diseases on the Non-Volatile and Volatile Metabolites of Tea

- Authors: Wan, Y., Han, Y., Deng, X., Chen, Y.
- Journal: Foods
- Year: 2023
- Volume: 12(8)
- Article Number: 1568
- Citations: 5

Julius Adinkrah | Engineering | Best Researcher Award

Posted on 09/12/202409/12/2024 by sciencefather

Mr. Julius Adinkrah | Engineering | Best Researcher Award

Mr. Julius Adinkrah, Kwame Nkrumah University of Science and Technology (KNUST), Ghana

Julius Adinkrah is a dedicated researcher and educator from Ghana, specializing in computer engineering and artificial intelligence. Currently pursuing a PhD in Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST), he has a strong academic foundation with an MPhil in Scientific Computing and Industrial Modelling and a BSc in Mathematics. His passion for AI applications in sustainable energy and data-driven solutions is evident in his impactful publications. Julius has demonstrated his commitment to advancing knowledge as a Teaching Assistant at KNUST and the University of Mines and Technology. His expertise spans programming languages, machine learning, and data analysis, complemented by scholarships like the ACE Impact Scholarship and AI for Development Africa Scholarship. Through his research and teaching, Julius strives to contribute innovative solutions to pressing global challenges while mentoring the next generation of technology leaders.

Professional Profile

Summary of Suitability for the Research for Best Researcher Award

Julius Adinkrah demonstrates a strong academic foundation and research trajectory, which makes him a compelling candidate for the Research for Best Researcher Award. His ongoing PhD in Computer Engineering at the Responsible Artificial Intelligence Lab (RAIL) at Kwame Nkrumah University of Science and Technology (KNUST) places him at the forefront of cutting-edge research in Artificial Intelligence (AI). His published work on “Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation,” scheduled for publication in Renewable and Sustainable Energy Reviews in 2025, highlights his contribution to the interdisciplinary field of AI and energy sustainability—a vital area for global development.

Education

Julius Adinkrah’s educational journey reflects a deep commitment to advancing in technology and computational sciences. He is currently a PhD candidate at Kwame Nkrumah University of Science and Technology (KNUST) within the Responsible Artificial Intelligence Lab (RAIL), focusing on cutting-edge AI research. Previously, he earned an MPhil in Scientific Computing and Industrial Modelling at KNUST’s National Institute of Mathematical Sciences, where he honed his expertise in computational problem-solving and data modeling. Julius also holds a BSc in Mathematics from the University of Mines and Technology (UMaT), where he cultivated his foundational analytical and mathematical skills. Beyond formal education, he pursued specialized certifications, including the Google Africa Developer Training Program and courses in machine learning, data science, and programming through 365 Data Science. This rich educational background has equipped Julius with a strong technical and theoretical foundation for addressing complex problems in engineering and AI.

Professional Experience

Julius Adinkrah’s professional experience spans academia and industry, underscoring his adaptability and commitment to excellence. In academia, he served as a Teaching Assistant at KNUST and UMaT, mentoring students in mathematics and computational sciences. His teaching roles allowed him to simplify complex concepts and nurture a passion for problem-solving among learners.
In the industry, Julius worked as a waiter at Alterran Service (ATS), showcasing his ability to thrive in customer-oriented environments, honing his communication and teamwork skills. Additionally, his experience as a Mathematics and ICT Teacher at Christ Leading Preparatory School highlights his ability to impart knowledge effectively to younger learners.
Julius combines his academic and professional expertise to contribute meaningfully to the fields of AI and computer engineering. His experience has instilled a strong work ethic, technical competence, and a collaborative approach, making him a versatile professional dedicated to impactful contributions.

Awards and Recognition

Julius Adinkrah’s academic achievements have been recognized through prestigious awards and scholarships. He is a recipient of the ACE Impact Scholarship, awarded under the KNUST Engineering Education Project (KEEP), which supports exceptional researchers driving impactful innovations. Julius also earned the Artificial Intelligence for Development Africa Scholarship from the Responsible Artificial Intelligence Lab (RAIL) at KNUST, acknowledging his pioneering work in AI applications.
These accolades reflect his outstanding research capabilities and dedication to advancing AI technologies in Africa. They serve as a testament to his ability to address global challenges through innovative approaches. Julius’s recognition extends beyond academia, where his ability to excel in collaborative and interdisciplinary projects has been widely acknowledged. These honors underscore his commitment to academic excellence, groundbreaking research, and the development of AI-driven solutions to complex societal and technological problems.

Research Skills On Engineering

Julius Adinkrah excels in a wide range of research skills, focusing on artificial intelligence (AI), data science, and computational modeling. He has significant expertise in programming languages, including Python, R, C, and MATLAB, which he employs for developing AI-driven models and simulations. His experience in data cleaning, preprocessing, and analysis, using tools like Pandas and NumPy, underscores his proficiency in handling large datasets efficiently.
Julius’s research interests include AI applications in sustainable energy and industrial optimization, reflecting his ability to integrate theoretical knowledge with practical solutions. His strong foundation in mathematics and machine learning has enabled him to publish impactful research in renowned journals. Additionally, Julius is adept at using LaTeX and Microsoft Office Suite for academic writing and presentation. With a collaborative mindset and interdisciplinary approach, he consistently delivers high-quality research outputs addressing critical global challenges.

Publication Top Notes

Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review

Authors: Adinkrah, J.; Kemausuor, F.; Tutu Tchao, E.; Adu-Poku, A.; Kponyo, J.J.
Year: 2025

Henda omri | Economics | Best Scholar Award

Posted on 05/12/202405/12/2024 by sciencefather

Assist. Prof. Dr. Henda omri | Economics | Best Scholar Award

Assist. Prof. Dr. Henda omri, Higher Institute of Business Administration of gafsa, Tunisia

Dr. Henda Omri is an accomplished economist and Assistant Professor from Tunisia specializing in financial and behavioral economics. With a Ph.D. in Economics from Carthage University, her research focuses on entrepreneurship, well-being, corporate governance, and green finance. Over the years, she has held academic roles across Tunisian universities, teaching courses such as entrepreneurial skills, financial diagnosis, and taxation. Dr. Omri is passionate about exploring how governance quality and sustainable practices influence economic development and life satisfaction. Her work has been widely published in high-impact journals, with research contributions on topics like green finance and behavioral entrepreneurship. In addition to her academic achievements, Dr. Omri actively participates in international conferences and collaborations, showcasing her innovative ideas in economics. Fluent in Arabic, French, and English, she is also adept at econometric analysis using tools like STATA and EVIEWS, making her a versatile and forward-thinking academic leader.

Professional Profile

scopus

Summary of Dr. Henda Omri’s Suitability for the Research for Best Scholar Award

Dr. Henda Omri’s strong academic foundation and versatile research portfolio make her a highly suitable candidate for the Research for Best Scholar Award. Her expertise spans critical areas such as behavioral finance, green finance, entrepreneurship, corporate governance, and econometrics, showcasing her deep understanding of interdisciplinary topics. She has earned her Ph.D. in Economics from Carthage University, with a dissertation that integrates entrepreneurship, governance quality, and multidimensional well-being—a subject highly relevant to global economic development and social sustainability.

Dr. Omri’s research output is impressive, with numerous peer-reviewed publications in high-impact journals, such as Technological Forecasting and Social Change, International Entrepreneurship and Management Journal, and Research in International Business and Finance. These works address vital issues like environmental sustainability, life satisfaction, green finance, and entrepreneurial motivation in developing countries.

Education

Dr. Henda Omri has a robust educational background in economics and finance. She earned her Ph.D. in Economics (2020–2023) from the Faculty of Economics and Management of Nabeul, Carthage University, with a dissertation on “Behavioral entrepreneurship and multidimensional well-being: The roles of governance quality.” She also holds a Master’s degree in Quantitative Finance (2016–2018) from the Faculty of Economics and Management of Mahdia, Monastir University, where her research explored the influence of oil price fluctuations and country risks on bank performance using a Panel ARDL approach. Her academic journey began with a Bachelor’s degree in Finance (2013–2016) from the same institution. Guided by her commitment to impactful research, Dr. Omri has collaborated with esteemed scholars and jury members from leading Tunisian and international universities. Her academic achievements underline her dedication to advancing knowledge in financial economics, behavioral entrepreneurship, and governance.

Professional Experience

Dr. Henda Omri brings a wealth of professional teaching experience from leading Tunisian universities. In 2024–2025, she served as a Contractual Assistant at the Higher Institute of Business Administration, Gafsa University, teaching economics-focused case studies. Previously, she held a position as Assistant Professor at the Higher Institute of Languages, Monastir University (2023–2024), where she taught entrepreneurial skills and taxation. From 2021–2023, she taught various finance-related courses at Gafsa University, including financial diagnosis, corporate financial policy, and financial theory. Her academic contributions emphasize practical applications, equipping students with critical skills for navigating financial markets and corporate decision-making. Throughout her career, Dr. Omri has consistently demonstrated her dedication to fostering innovation and interdisciplinary learning, making her an influential educator and mentor in the field of economics.

Awards and Recognition

Dr. Henda Omri has received recognition for her scholarly contributions in financial and behavioral economics. She has actively participated in prestigious academic conferences such as the 19th International Conference on Modeling Finance and Development (MOFID) in 2024, where she presented her research on entrepreneurship and governance quality in developing countries. Dr. Omri has also delivered presentations at the Sfax International Forum on Islamic Finance (2022) and the BETA International Conference on Business and Economics Theory and Applications (2024). Her academic excellence is further demonstrated by invitations to international forums and her publications in top-tier journals like Technological Forecasting and Social Change and Research in International Business and Finance. These accolades highlight her commitment to addressing global challenges through innovative research and impactful academic collaborations.

Research Skills On Economics

Dr. Henda Omri possesses a broad range of research skills, focusing on financial economics, green finance, and behavioral entrepreneurship. Her expertise includes advanced econometric modeling using tools such as STATA, SPSS, and EVIEWS, enabling her to analyze complex datasets and derive actionable insights. She has published extensively on topics such as corporate governance, renewable energy, and multidimensional well-being, showcasing her ability to link empirical methods with real-world issues. Dr. Omri’s interdisciplinary approach is evident in her exploration of entrepreneurship’s impact on quality of life and sustainable development, often incorporating moderated mediation and ARDL techniques in her studies. Her ability to integrate theoretical frameworks with empirical analysis demonstrates her strong academic acumen and innovative mindset, making her a valuable contributor to the field of economics.

Publication Top Notes

Macro-level determinants of entrepreneurial behavior and motivation

- Authors: H. Omri, A. Omri, A. Abbassi
- Citation: International Entrepreneurship and Management Journal, 2024, 20(4), pp. 2629–2667
- Year: 2024

Environmental degradation and life satisfaction: Do governance and renewable energy matter?

- Authors: A. Omri, H. Omri, S. Slimani, F. Belaid
- Citation: Technological Forecasting and Social Change, 2022, 175, 121375
- Year: 2022

Ekta Selarka | Economics | Best Researcher Award

Posted on 04/12/202404/12/2024 by sciencefather

Dr. Ekta Selarka | Economics | Best Researcher Award

Dr. Ekta Selarka, Madras School of Economics, India

Dr. Ekta Selarka is an accomplished academic and researcher in the field of economics, with a focus on corporate governance, financial economics, and gender diversity. Currently an Associate Professor at Madras School of Economics, Chennai, Dr. Selarka has built a robust career, having previously held academic and research roles at esteemed institutions such as the Indira Gandhi Institute of Development Research and Amrita School of Business. She holds a Ph.D. from IGIDR, Mumbai, with her dissertation centered on corporate governance in India. Over the years, Dr. Selarka has earned recognition for her contributions to economic research, publishing extensively in renowned journals and books. Her expertise includes applied corporate finance, firm performance, and banking misallocation. She is also deeply involved in various academic services, serving on editorial boards and doctoral committees. Dr. Selarka is passionate about mentoring students and advancing research in the field of economics.

Professional Profile