Zahid Hussain | Mining Engineering | Young Scientist Award

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Mr. Zahid Hussain | Mining Engineering | Young Scientist Award

Dr. Zahid Hussain is a Pakistani mining engineering researcher and lecturer, currently pursuing his Ph.D. at the University of Science and Technology Beijing (USTB), China. He serves as a Lecturer in the Department of Mining Engineering at Karakoram International University (KIU), Gilgit, Pakistan. His expertise lies in mineral processing, carbon sequestration, and sustainable mining technologies. Dr. Hussain is a member of the Pakistan Climate Change Council and serves on the youth editorial board of Green and Smart Mining Engineering. Passionate about integrating environmental concerns into mining, he explores novel and eco-friendly methods for mineral extraction and CO₂ sequestration. His work has been recognized with multiple national awards and honors.

Profile

Scholar

🎓 Education 

Dr. Zahid Hussain holds a B.Sc. (2010–2014) and M.Sc. (2015–2018) in Mining Engineering from BUITEMS, Quetta, Pakistan, graduating with distinction and a Gold Medal. His B.Sc. thesis focused on blast vibration control at Gribwal Cement, while his M.Sc. involved mineralogical and chemical investigations for establishing a cement plant in Hunza using techniques like XRF, XRD, SEM, and GIS tools. He is currently pursuing a Ph.D. in Mining Engineering (2022–2026) at USTB, China, under Prof. Jiajie Li, focusing on mineral carbonation and geological CO₂ sequestration for sustainable mining practices aligned with Belt and Road Initiative (BRI) goals. His educational journey reflects a strong interdisciplinary grounding in geology, mineral processing, and sustainability.

💼 Experience 

Dr. Zahid began as a Lecturer of Chemistry (2014–2017) at Balochistan Group of Colleges before joining KIU, Gilgit, as a Lecturer in Mining Engineering (2017–present). At KIU, he has taught core subjects including Mineral Exploration, Rock Mechanics, Ore Reserve Estimation, and Advanced Coal Technology. He served as Head of the Mineral Processing Lab, Course Coordinator (2018–2022), Acting Chair (2020), and Departmental Undergraduate Advisor (2019–2022). Additionally, he’s been involved in designing and upgrading copper plants in Gilgit-Baltistan. He also worked briefly as Office Assistant to the Deputy Registrar at BUITEMS, improving administrative and computing skills during his student years.

🏅 Awards and Honors 

Dr. Zahid Hussain received the Best Innovator Award (2021) and Best Researcher Award (2020) for his contributions to sustainable mining research. He earned a Roll of Honour (Gold Medal) from BUITEMS in 2014 and was awarded a Merit Scholarship for outstanding academic performance during 2010–2014. Beyond academia, he has demonstrated leadership and teamwork by captaining the Pakistani Researchers’ Cricket and Badminton teams in China, winning several tournaments. His consistent academic and professional excellence has earned him recognition at institutional and national levels, reflecting his dedication to innovation, environmental responsibility, and academic rigor.

🔬 Research Focus 

Dr. Zahid’s research centers on mineral carbonation for CO₂ sequestration, aiming to repurpose mining and industrial waste into sustainable, value-added products. His Ph.D. focuses on ex-situ and in-situ carbonation techniques using regional mineral resources, especially within Belt and Road Initiative (BRI) countries. He utilizes tools like drone-based surface modeling, electric resistivity surveys, and lab-scale mineral testing to explore CO₂ capture potential. His roadmap proposes integrating CO₂ sequestration with mine backfilling, offering scalable carbon capture and storage (CCS) solutions. He also explores Salajeet as an immune booster and works on environmentally friendly extraction methods for gold and copper.

📝 Conclusion

Dr. Zahid Hussain is a highly deserving candidate for the Young Scientist Award, demonstrating a rare blend of academic brilliance, environmental innovation, and leadership in the field of sustainable mining and mineral engineering. His work on CO₂ sequestration through mineral carbonation is not only scientifically relevant but globally critical amid climate change mitigation efforts. He exemplifies the spirit of the award through proactive research, impactful community engagement, and continuous academic contribution. With ongoing enhancement in publication output and broader collaborations, Dr. Zahid is poised to become a thought leader in green mining and climate-responsive technologies. Strongly recommended for recognition.

Publication

  1. Title: Entrepreneurs of Baksa District
    Year: 2025
    Contributors: Rocktim Baruah
    Type: Book
    ISBN: 978-93-342-2520-4

 

  1. Title: Recycling Horticultural Waste into Animal Feed
    Year: 2025
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Performance Evaluation of Lakhimi Cattle under Traditional Rearing System of Assam
    Year: 2024
    Contributors: Rocktim Baruah
    Type: Journal Article
    ISSN: 0973-2004

 

  1. Title: Resource Inventory of Baksa District
    Year: 2024
    Contributors: Rocktim Baruah
    Type: Book
    ISBN: 978-93-6076-296-4

 

  1. Title: Evaluation of Biofortified Sweet Potato Varieties for Their Growth, Yield and Economic Performance under Assam Condition
    Year: 2024
    Contributors: Rocktim Baruah, Nishita Pathak, Manoranjan Neog, Utpal Jyoti Sarma
    Type: Journal Article (Asian Journal of Agricultural Extension, Economics & Sociology)
    DOI: 10.9734/ajaees/2024/v42i52441
    ISSN: 2320-7027

 

  1. Title: Homolomena aromatica – A Commercially Exploited Plant from Natural Habitat
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agri Mirror: Future India)
    ISSN: 2582-6980

 

  1. Title: High Value Horticulture Crops: An Intervention for Economic Upliftment of Farmers
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Millets: From “Poor Man’s Cereal” to “Smart Food”
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Evaluation of Gladiolus (Gladiolus grandiflorus) Cultivars for Performance and Correlation in Vegetative, Floral and Multiplication Characters under Paired-Row System
    Year: 2022
    Contributors: Rocktim Baruah, Sunil Bora
    Type: Journal Article (Current Horticulture)
    DOI: 10.5958/2455-7560.2022.000097
    ISSN: 2347-7377 / 2455-7560

 

  1. Title: Natural Farming – The Next Green Revolution?
    Year: 2022
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Environment: E-Newsletter)

 

  1. Title: Growth Performance of Some Gladiolus Cultivars in Paired Row System
    Year: 2020
    Contributors: Rocktim Baruah
    Type: Dissertation or Thesis

 

 

Adolor David Aiyeki | Materials Science | Best Researcher Award

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Mr. Adolor David Aiyeki | Materials Science | Best Researcher Award

Skolkovo Institute of Science and Technology, Russia

Adolor David Aiyeki is a dynamic Ph.D. researcher at Skolkovo Institute of Science and Technology, Russia, with a strong background in mechanical engineering and advanced manufacturing technologies. Passionate about innovation, sustainability, and technology’s role in transforming society, he thrives in interdisciplinary research settings. He has held various technical and leadership roles, including Assistant Home Automation Engineer and Mechanical Engineer, with impactful contributions in automation, energy, and environmental systems. His research in photopolymerization-based ceramic additive manufacturing and lunar regolith applications reflects his pursuit of future-forward engineering. Beyond the lab, he is a committed volunteer and SDG advocate, empowering youth through awareness initiatives. With international scholarships, awards, and a robust portfolio in CAD, FEA, and material science, Adolor aims to bridge science and society. His blend of technical acumen, leadership, and purpose-driven advocacy positions him as a change-maker in engineering innovation and sustainability.

Profile

Orcid

🎓 Education 

Adolor holds a Bachelor’s degree in Mechanical Engineering from the University of Benin (2017), where he worked on biomass gasifier design and participated in energy-related seminars. He earned his Master of Science in Advanced Manufacturing Technologies from Skolkovo Institute of Science and Technology (2024), with a thesis focused on lunar regolith as an engineering material. He is currently pursuing a Ph.D. in Mathematics and Mechanics at Skoltech (expected 2028), researching supercritical CO₂ processing for ceramic additive manufacturing. His academic background is bolstered by courses in CFD, multiphase flow, additive technologies, and finite element analysis, providing a well-rounded foundation in applied engineering and materials science. Throughout his education, he demonstrated a consistent interest in emerging technologies and sustainability, securing academic scholarships and engaging in multidisciplinary research. His academic journey reflects a continuous pursuit of knowledge, innovation, and impactful problem-solving on both terrestrial and extraterrestrial applications.

💼 Experience 

Adolor has held diverse roles across academia and industry. As Assistant Home Automation Engineer at Hometronix Nigeria (2021–2022), he developed custom automation solutions, boosting client satisfaction and project efficiency. Prior to that, he served as a Mechanical Engineer at Friday Omoragbon & Sons (2020), overseeing welding and pipeline projects with significant cost and quality improvements. He interned as an Electromechanical Engineer at Nigeria Airspace Management Agency (2019), gaining hands-on experience in power systems. His teaching role at Pioneer Educational Centre (2018) enhanced student outcomes in math and science. As an Automotive Technician Intern (2016), he streamlined engine maintenance processes. Beyond employment, he has led SDG awareness initiatives as a volunteer with the UN SDG Action Campaign since 2019, promoting sustainability among youth. His work consistently combines technical expertise with communication and leadership, showcasing a blend of engineering competence and community engagement across multiple domains.

🏅 Awards and Honors 

Adolor has received several prestigious honors for academic and research excellence. At Skolkovo Institute of Science and Technology, he earned the 2023–2024 Scholarship for Development and Academic Excellence and won Best Research Thesis (2024). He was awarded the Matthew Okpebholo Foundation Final Year Undergraduate Scholarship (2017) and the Agbami Medical and Engineering Professionals Undergraduate Scholarship (2014–2017). In high school, he was twice recognized by the Science Teachers Association of Nigeria, earning a Silver Medal (STAN O-Level Science Subjects, 2009) and a Gold Medal (Science Talent Search Innovation Championship, 2009). He also graduated as the Best Science Student from Blessed Saint Paul High School (2009). These accolades reflect his early and sustained commitment to excellence, innovation, and leadership in science and engineering. Adolor’s recognition spans academic, technical, and competitive spheres, underscoring his dedication to intellectual rigor and impactful contributions in his field.

🔬 Research Focus 

Adolor’s research focus lies at the intersection of advanced materials, additive manufacturing, and energy sustainability. His Ph.D. investigates supercritical CO₂ processing for enhancing ceramic photopolymerization in 3D printing—a pioneering direction in material science. During his Master’s, he explored lunar regolith as an engineering material, contributing to space-based construction technology. His broader research interests include composite manufacturing, finite element analysis, and the development of functional coatings. He is proficient in software like ANSYS, Abaqus, Siemens NX, and Python, enabling high-fidelity simulations and product design. Adolor integrates sustainable practices into his work, evident from past projects on biomass energy and flow station installations. Through SDG advocacy, he connects research to community impact, especially in climate action and clean energy. With a long-term vision of fusing innovation with social benefit, his research aims to solve complex challenges on Earth and beyond, blending creativity with scientific precision.

📝 Conclusion

Mr. Adolor David Aiyeki is a highly promising candidate for the Best Researcher Award. His academic achievements, hands-on industry experience, and innovative research interests position him as a leader in the fields of advanced manufacturing and materials science. With a well-rounded background that combines technical depth, social responsibility, and a passion for transformative technology, he exemplifies the qualities sought in a world-class researcher. With continued emphasis on scholarly dissemination and global engagement, Mr. Aiyeki is undoubtedly a worthy contender for this prestigious recognition.

Publication

📘 Improved Additive Manufacturing of Lunar Regolith Simulant via Digital Light Processing for In-Situ Resource Utilization on the Moon

  • Journal: Acta Astronautica

  • Type: Journal Article

  • Date: April 2025

  • DOI: 10.1016/j.actaastro.2025.04.009

  • Contributors: Adolor David Aiyeki, Andrey Tikhonov, Svyatoslav Chugunov

 

 

Rocktim Baruah | Horticulture | Best Extension Activity Award

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Mr. Rocktim Baruah | Horticulture | Best Extension Activity Award

Krishi Vigyan Kendra, Golaghat India

Rocktim Baruah, currently serving as a Subject Matter Specialist (Horticulture) at Krishi Vigyan Kendra, Baksa, Assam Agricultural University, is a committed agricultural scientist focusing on rural upliftment through innovative horticultural interventions. He completed his B.Sc. (Agriculture) in 2018 and M.Sc. (Agriculture) in 2020, both with distinction from Assam Agricultural University. He qualified the ICAR-SRF and briefly pursued research at GB Pant University before joining AAU’s KVK system in 2022. With key roles in nationally and internationally funded projects, he is actively promoting high-value crops like dragon fruit, strawberries, and biofortified vegetables. He has authored books, published research, and developed successful on-ground demonstrations impacting farmers’ livelihoods. As a life member of the Society for Horticultural Research and Development, his mission is to strengthen food security and enhance farmer incomes through need-based training, disease-resistant varieties, and entrepreneurship support. His practical, grassroots-level initiatives reflect a strong commitment to agricultural extension and community empowerment.

Profile

Orcid

🎓 Education 

Rocktim Baruah earned his B.Sc. (Agriculture) from the College of Agriculture, Jorhat, under Assam Agricultural University in 2018 with an impressive CGPA of 8.14 and distinction. Building upon his academic excellence, he pursued M.Sc. (Agriculture) from the same university, graduating with distinction in 2020. His commitment to higher education was further evident when he cleared the prestigious ICAR-SRF and joined GB Pant University of Agriculture and Technology to pursue advanced research. Throughout his academic journey, Rocktim demonstrated a strong foundation in agricultural sciences with a special interest in horticulture and rural development. His academic background equipped him with the technical know-how and field knowledge to implement transformative agricultural extension strategies. With hands-on experiences in both research and community engagement, his education provided the platform for launching various high-impact projects in Assam’s farming districts. His educational journey reflects consistent academic performance, scientific rigor, and a practical orientation toward improving rural livelihoods.

💼 Experience 

Rocktim Baruah began his professional journey in 2022 as a Subject Matter Specialist (Horticulture) at Krishi Vigyan Kendra, Baksa under Assam Agricultural University. Since then, he has played a pivotal role in multiple agricultural extension and research initiatives targeting farmer welfare and community development. His responsibilities include implementing frontline demonstrations, conducting need-based training programs, and facilitating on-farm testing of advanced technologies. He has also been a key player in several government and internationally funded projects, including DBT’s Biotech-Kisan Hub and TERI’s agroforestry initiatives. As the Nodal Officer and Associated Scientist, he guided programs on mushroom cultivation, agroforestry, and regenerative agriculture, contributing directly to livelihood enhancement. Rocktim’s field experience extends to empowering entrepreneurs, introducing disease-resistant varieties, and promoting biofortified crops. His dynamic engagement with the farming community, along with his ability to translate research into practice, has made him an effective agent of rural transformation. His service continues to positively impact farmer productivity and income.

🏅 Awards and Honors 

Rocktim Baruah has consistently demonstrated excellence in academics and extension work, earning accolades throughout his academic and professional journey. He graduated with distinction in both B.Sc. and M.Sc. (Agriculture), highlighting his strong academic commitment. He cleared the competitive ICAR-SRF examination, marking him among the top agricultural scholars in the country. Professionally, he has been entrusted with leading roles in prestigious national projects funded by DBT and TERI, indicating the trust placed in his capabilities by reputed institutions. His publications include two ISBN-registered books focusing on district-level entrepreneurship and resource inventory, further emphasizing his contribution to knowledge dissemination. His achievements include successful dissemination of biofortified crop varieties and setting up livelihood programs that reached a wide community base. He holds life membership in the Society for Horticultural Research and Development. These recognitions and roles reflect not only his scientific aptitude but also his commitment to rural development and impactful field-based interventions.

🔬 Research Focus 

Rocktim Baruah’s research focuses on empowering rural communities through the introduction of high-value horticultural crops such as exotic fruits (dragon fruit, strawberry), biofortified vegetables, and ornamental flowers. His work emphasizes sustainable livelihood generation by integrating scientific innovation with grassroots needs. He actively engages in field-level interventions through projects funded by national and international agencies like DBT and TERI. His research also targets disease-resistant varieties in crops like tomato and chilli, reducing input costs and improving yield. Rocktim has a strong interest in agroforestry, regenerative agriculture, and mushroom-based rural entrepreneurship, aiming to boost food security and income diversification. He combines research with extension by conducting need-based training, technology demonstrations, and vocational skill development. His projects have significantly influenced horizontal adoption of technologies across farming communities, particularly in Assam’s Baksa district. Rocktim’s approach blends scientific research with social innovation, ensuring that his contributions benefit both academic circles and the communities he serves.

📝 Conclusion

Mr. Rocktim Baruah demonstrates a strong alignment with the values and goals of the Best Extension Activity Award through his grassroots involvement, farmer-oriented interventions, and passion for horticultural advancement. His practical contributions, capacity-building efforts, and effective coordination of extension projects highlight his significant role in improving rural livelihoods in Assam. With further emphasis on impact documentation and academic dissemination, he holds immense potential to be a leading figure in agricultural extension. Therefore, he is a deserving and highly recommended candidate for this recognition.

Publication

  1. Title: Entrepreneurs of Baksa District
    Year: 2025
    Contributors: Rocktim Baruah
    Type: Book
    ISBN: 978-93-342-2520-4

 

  1. Title: Recycling Horticultural Waste into Animal Feed
    Year: 2025
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Performance Evaluation of Lakhimi Cattle under Traditional Rearing System of Assam
    Year: 2024
    Contributors: Rocktim Baruah
    Type: Journal Article
    ISSN: 0973-2004

 

  1. Title: Resource Inventory of Baksa District
    Year: 2024
    Contributors: Rocktim Baruah
    Type: Book
    ISBN: 978-93-6076-296-4

 

  1. Title: Evaluation of Biofortified Sweet Potato Varieties for Their Growth, Yield and Economic Performance under Assam Condition
    Year: 2024
    Contributors: Rocktim Baruah, Nishita Pathak, Manoranjan Neog, Utpal Jyoti Sarma
    Type: Journal Article (Asian Journal of Agricultural Extension, Economics & Sociology)
    DOI: 10.9734/ajaees/2024/v42i52441
    ISSN: 2320-7027

 

  1. Title: Homolomena aromatica – A Commercially Exploited Plant from Natural Habitat
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agri Mirror: Future India)
    ISSN: 2582-6980

 

  1. Title: High Value Horticulture Crops: An Intervention for Economic Upliftment of Farmers
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Millets: From “Poor Man’s Cereal” to “Smart Food”
    Year: 2023
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Food: E-Newsletter)
    ISSN: 2581-8317

 

  1. Title: Evaluation of Gladiolus (Gladiolus grandiflorus) Cultivars for Performance and Correlation in Vegetative, Floral and Multiplication Characters under Paired-Row System
    Year: 2022
    Contributors: Rocktim Baruah, Sunil Bora
    Type: Journal Article (Current Horticulture)
    DOI: 10.5958/2455-7560.2022.000097
    ISSN: 2347-7377 / 2455-7560

 

  1. Title: Natural Farming – The Next Green Revolution?
    Year: 2022
    Contributors: Rocktim Baruah
    Type: Magazine Article (Agriculture and Environment: E-Newsletter)

 

  1. Title: Growth Performance of Some Gladiolus Cultivars in Paired Row System
    Year: 2020
    Contributors: Rocktim Baruah
    Type: Dissertation or Thesis

 

 

Tommaso Giordano | Environmental Science| Best Researcher Award

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Mr. Tommaso Giordano | Environmental Science| Best Researcher Award

Istituto per la Bioeconomia, Italy

Tommaso Giordano is a Research Fellow at the Institute for Bioeconomy of the National Research Council (CNR-IBE) and a Ph.D. candidate in Environmental Engineering at the University of Florence. Under the guidance of Dr. Beniamino Gioli and Prof. Fabio Castelli, he contributes to international and local environmental research initiatives. Holding an MSc in Development Economics from a joint degree between the University of Florence and the University of Göttingen, Tommaso’s academic journey bridges economics, engineering, and environmental science. His work revolves around the use of applied statistics and data integration (from IoT sensors to satellite products) for urban analysis and population risk assessments. Dedicated to exploring sustainable urban ecosystems, he combines socio-economic insights with environmental modeling. He is passionate about improving data-driven strategies for climate adaptation and ecosystem services through innovative sensor networks, geospatial analysis, and risk mapping to support resilience and sustainable development in urban settings.

Profile

Scholar

🎓 Education 

Tommaso is currently pursuing an International Doctorate in Civil and Environmental Engineering at the University of Florence, focusing on environmental systems modeling and statistical analysis. He previously earned a joint MSc in Development Economics from the University of Florence and the University of Göttingen (EQF Level 7), graduating with 109/110 and 1.8 respectively, with a thesis on “Environmental regulation and innovation: empirical evidence for plastic.” His strong interdisciplinary background merges economics, environmental policy, and technical data handling. Earlier, he completed high school at Liceo Scientifico “Piero Gobetti” in Bagno a Ripoli, Florence, achieving a final grade of 71/100. Throughout his academic path, he has cultivated competencies in advanced statistics, GIS, and programming. Proficient in Italian (native), he is also fluent in English, German, and Spanish. His educational trajectory highlights a balance of environmental science, economics, and engineering—fueling his capability to handle complex environmental and socio-economic datasets.

💼 Experience 

Tommaso has worked as a Research Fellow at CNR-IBE since March 2021, contributing to multiple nationally and internationally funded urban sustainability projects. He is currently involved in the ADESFUR project, processing geo-spatial and socio-economic data for urban forestry planning. Prior to that, he supported the AIRQINO Smart Cities initiative, analyzing ecological and socio-environmental urban data. Between 2021 and 2024, he played a pivotal role in the “Prato Urban Jungle” UIA project, collecting and analyzing data to explore interactions between urban infrastructure and the environment, including urban heat islands and pollution. In 2020, he completed a sales internship at IRPLAST SpA, gaining experience in customer service and data management. His experience blends technical research with real-world application, showcasing his ability to work across diverse interdisciplinary contexts. He is skilled in data analysis, GIS, and sensor integration, with a growing publication record in environmental research.

🏅 Awards and Honors 

Tommaso Giordano has contributed to numerous high-impact scientific publications and international research collaborations, gaining recognition through his involvement in projects funded by respected institutions like the National Research Council and the EU’s Urban Innovative Actions. His academic excellence is evident in his near-top MSc grade (109/110) and publication record in top-tier journals such as Urban Climate, Atmospheric Pollution Research, and Environmental Research. He has co-authored research exploring heat risk, pollution, and sensor technologies for environmental monitoring, and has presented at international conferences including the EGU General Assembly (Vienna, 2023) and AISAM (Lecce, 2024). His master’s thesis, which applied empirical methods to environmental regulation, earned praise and contributed to policy-relevant findings. Through his academic and professional endeavors, Tommaso continues to receive commendation from peers and supervisors for his interdisciplinary capabilities, analytical precision, and commitment to data-driven environmental problem solving across urban ecological domains.

🔬 Research Focus 

Tommaso’s research centers on the integration of multi-source environmental and socio-economic data to analyze urban dynamics and human vulnerability to hazards. His key focus areas include environmental risk assessment, urban heat islands, air pollution exposure, and ecosystem service quantification. He employs applied statistics, remote sensing, IoT sensor networks, and spatial analysis to monitor and model urban environments. Through his doctoral research, he is developing tools to assess population-level risks using geospatial indicators and advanced data visualization. His work supports climate adaptation strategies, urban sustainability planning, and real-time environmental monitoring. Projects like Prato Urban Jungle and ADESFUR illustrate his dedication to using science for practical urban resilience outcomes. By merging economics, data science, and environmental engineering, Tommaso aims to contribute to interdisciplinary solutions for greener, healthier cities. His scientific publications reflect a commitment to innovation in urban environmental assessment and the development of low-cost, scalable monitoring systems.

📝 Conclusion

Tommaso Giordano is a strong emerging researcher with a solid foundation in environmental data analysis, urban sustainability, and applied economics. His research contributions to European urban environmental monitoring projects, publication record, and cross-disciplinary skills make him a viable candidate for an early-career or young researcher award. For highly competitive Best Researcher Awards, enhancing leadership visibility, independent research initiatives, and international recognition would significantly boost his profile.

Publication

  1. Title: Assessment of seasonal variations in particulate matter accumulation and elemental composition in urban tree species
    Year: 2024
    Authors: B.B. Moura, F. Zammarchi, J. Manzini, Y. Hoshika, L. Brilli, C. Vagnoli, B. Gioli, …

 

  1. Title: Diurnal outdoor thermal comfort mapping through ENVI-met simulations, remotely sensed and in situ measurements
    Year: 2023
    Authors: E. Fiorillo, L. Brilli, F. Carotenuto, L. Cremonini, B. Gioli, T. Giordano, …

 

  1. Title: Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO and O sensors
    Year: 2023
    Authors: A. Cavaliere, L. Brilli, B.P. Andreini, F. Carotenuto, B. Gioli, T. Giordano, …

 

  1. Title: Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa
    Year: 2024
    Authors: G. Gualtieri, K. Ahbil, L. Brilli, F. Carotenuto, A. Cavaliere, B. Gioli, T. Giordano, …

 

  1. Title: Intensive campaign on continuous isotopic sampling for environmental criticality in the Stalactites cave of Altamira karst
    Year: 2023
    Authors: M. Nardino, A.P. Freixedo, D. Famulari, L. Brilli, A. Cavalieri, F. Carotenuto, …

 

  1. Title: Performance Assessment of Two Low-Cost PM2.5 and PM10 Monitoring Networks in the Padana Plain (Italy)
    Year: 2024
    Authors: G. Gualtieri, L. Brilli, F. Carotenuto, A. Cavaliere, T. Giordano, S. Putzolu, …

 

  1. Title: Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network
    Year: 2025
    Authors: T. Giordano, L. Brilli, G. Gualtieri, F. Martelli, A. Cavaliere, F. Carotenuto, …

 

  1. Title: Winter 2022 thermal anomaly and energy crisis impact on air quality in urban and rural areas assessed with dense sensor networks
    Year: 2023
    Authors: T. Giordano, L. Brilli, F. Carotenuto, A. Cavaliere, G. Gualtieri, B. Gioli, …

 

  1. Title: Istituto per la BioEconomia
    Year: Not specified (likely institutional or collaborative paper)
    Authors: L. Brilli, F. Carotenuto, A. Cavaliere, B. Gioli, T. Giordano, G. Gualtieri, …

 

 

Junping Hong |Data science | Best Researcher Award

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Dr. Junping Hong |Data science | Best Researcher Award

Tsinghua University, China

Junping Hong is a doctoral student at Tsinghua University specializing in Data Science and Information Technology. With a solid academic foundation from both Lanzhou University and Tsinghua University, he has cultivated expertise in Bayesian learning and time series analysis on graphs. His research contributions include impactful publications in leading journals such as IEEE Transactions on Signal and Information Processing over Networks and Entropy. Junping’s scholarly work reflects his commitment to advancing knowledge in statistical modeling and neural networks. In addition to his research, he has served as a teaching assistant in Bayesian learning and contributed as a reviewer for prestigious conferences including ICASSP and ICLR.

Profile

Scopus

🎓 Education 

Junping Hong holds a Bachelor’s degree in Computer Science from Lanzhou University (2008–2012), a Master’s degree in Data Science from Tsinghua University (2019–2022), and is currently pursuing his Ph.D. at Tsinghua University (2023–present). His academic path reflects a strong progression in quantitative analysis, machine learning, and statistical inference. During his Master’s and Ph.D. training, Junping has delved into specialized topics like Bayesian learning and time series forecasting, building a strong foundation for academic research and practical applications in data science. His academic tenure at one of China’s leading institutions supports his ongoing contributions to the field.

💼 Experience 

Junping Hong has gained valuable academic and research experience throughout his graduate studies. He has worked as a teaching assistant for a course on Bayesian Learning, where he provided instructional support and helped students grasp advanced statistical concepts. Junping also has peer-review experience, having reviewed submissions for major international conferences such as ICASSP and ICLR, which reflects his standing within the academic community. His research experience spans areas like time series forecasting and Bayesian neural networks, and he actively contributes to high-impact journals. These roles underline his deep involvement in the academic and research ecosystem.

🏅 Awards and Honors 

While specific awards or honors are not listed, Junping Hong’s publication “Multivariate time series forecasting with GARCH models on graphs” was recognized among the Top 25 most downloaded articles in IEEE Transactions on Signal and Information Processing over Networks between September 2023 and September 2024. This achievement highlights the significance and relevance of his research within the global academic community. Furthermore, his role as a reviewer for top-tier conferences and his involvement in cutting-edge machine learning research emphasize his emerging reputation in the field of data science.

🔬 Research Focus 

Junping Hong’s research centers on Bayesian Learning and time series analysis on graphs and networks. His work addresses key challenges in predictive modeling and uncertainty estimation by integrating Bayesian inference with graph-based methods. His 2025 publication in Entropy on Minimax Bayesian Neural Networks showcases his interest in combining probabilistic reasoning with deep learning for robust decision-making. Junping also explores the use of GARCH models for multivariate time series forecasting in structured data environments, such as graphs, demonstrating his ability to work across theoretical and applied dimensions of data science. His research aims to advance both the interpretability and performance of machine learning systems.

📝 Conclusion

Dr. Junping Hong is a highly promising researcher with strong academic training, impactful publications, and a clear focus on high-value research areas in data science and Bayesian learning. His ongoing work at Tsinghua University and involvement in top-tier academic venues underline his potential for long-term contributions to the field. While still in the early stages of his Ph.D., his trajectory suggests significant promise. With more leadership roles, real-world implementation, and recognition, he would be an excellent candidate for the Best Researcher Award – General Category, especially in the emerging researcher segment.

Publication

  • Title: Entropy Map Might Be Chaotic
    Year: 2021
    Authors: J. Hong, W. Kin

 

  • Title: Multivariate Time Series Forecasting with GARCH Models on Graphs
    Year: 2023
    Authors: J. Hong, Y. Yan, E. E. Kuruoglu, W. K. Chan

 

  • Title: Minimax Bayesian Neural Networks
    Year: 2025
    Authors: J. Hong, E. E. Kuruoglu

 

Weiwei Chen | Environmental Economics | Women Researcher Award

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Dr. Weiwei Chen | Environmental Economics | Women Researcher Award

Guizhou University of Finance and Economics,  China

Weiwei Chen is a dedicated Ph.D. student at the School of Economics, Guizhou University of Finance and Economics, specializing in development economics and the digital economy. Since 2022, she has been actively engaged in academic research at the Party School of the CPC Guizhou Provincial Committee, focusing on economic management. Her academic journey demonstrates a strong commitment to exploring sustainable development through data-driven insights. She has published an article in the international journal Sustainability, highlighting her focus on the relationship between data factor marketization and urban development. Weiwei aims to contribute impactful and policy-relevant research to both the academic community and society. Her dedication to innovation and meaningful inquiry makes her a rising scholar in the field of economics.

Profile

Orcid

🎓 Education 

Weiwei Chen began her doctoral studies in September 2023 at the School of Economics, Guizhou University of Finance and Economics, with a concentration in development economics and the digital economy. Her academic interests are rooted in examining the effects of digital transformation on economic practices and sustainable development. Prior to her Ph.D., she gained significant research experience at the Party School of the CPC Guizhou Provincial Committee, where she contributed to regional economic management studies. This educational background combines theoretical knowledge with applied research, enabling her to analyze real-world economic challenges effectively. Her academic foundation equips her with the tools to explore innovative economic strategies and inform evidence-based policy. Weiwei is committed to furthering her expertise in sustainable urbanization, resource allocation, and data economy.

💼 Experience 

Weiwei Chen began her professional career in 2022 at the Party School of the CPC Guizhou Provincial Committee, where she worked on economic management and regional policy development. Her role involved conducting applied research to support the planning and implementation of provincial economic strategies. In 2023, she transitioned into academia by starting her Ph.D. at Guizhou University of Finance and Economics. Her doctoral work builds upon her practical experience, focusing on how digital and data-driven approaches can enhance sustainable development. Weiwei’s dual background in institutional research and academic study allows her to bridge theory and practice. This unique combination of roles strengthens her ability to deliver meaningful insights into policy reform, urban development, and the digital economy. Her experience positions her well for interdisciplinary research and cross-sector collaboration.

🏅 Awards and Honors 

Though early in her career, Weiwei Chen has demonstrated outstanding potential through her research contributions. She authored a peer-reviewed article in the prestigious journal Sustainability, which explores the influence of data marketization on the efficiency of urban industrial land use. This publication marks a significant step in her academic trajectory and reflects her ability to produce high-quality, policy-relevant research. While she has not yet received formal awards, her nomination for the Women Researcher Award signifies recognition of her innovative thinking and dedication to economic research. Weiwei’s work contributes to emerging dialogues in development and environmental economics, and her impact is expected to grow as she continues her doctoral journey. Her achievements to date suggest a promising future filled with academic recognition and professional distinction.

🔬 Research Focus 

Weiwei Chen’s research focuses on the role of data in shaping sustainable economic systems. Specifically, she examines how the marketization of data factors can influence urban resource efficiency and policy innovation. Her work is grounded in development economics and the digital economy, with a keen interest in how digital infrastructures such as data trading platforms affect urban planning and industrial land use. Her recent publication investigates the mechanisms through which data platforms drive more efficient land use in Chinese cities, offering practical insights into the digital transformation of urban economies. As part of her Ph.D. work, she aims to deepen the understanding of how digital technologies interact with environmental and economic systems to support long-term development goals. Weiwei’s interdisciplinary approach, combining economic theory with real-world applications, positions her research at the forefront of current debates on sustainability and digitalization.

📝 Conclusion

Weiwei Chen is a promising early-career researcher whose work on the digital economy and sustainable development is both relevant and impactful. Her publication in an internationally recognized journal highlights her potential. While her current academic and professional network is still in the formative stages, the foundation she has laid positions her well for future contributions. She is a suitable candidate for the Women Researcher Award under the “Emerging Researcher” or “Early Career Researcher” category, and could be strongly considered with the recognition serving as a valuable boost to her academic trajectory.

Publication

  • Title: Data Factor Marketization and Urban Industrial Land Use Efficiency: Evidence from the Establishment of Data Trading Platforms in China

  • Year: 2025

  • Authors: Weiwei Chen, Shunyi Li

  • DOI: 10.3390/su17062753

 

JYOTI KUMARI | FOOD SCIENCE AND TECHNOLOGY | Young Scientist Award

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Ms. JYOTI KUMARI | FOOD SCIENCE AND TECHNOLOGY | Young Scientist Award

PHD, PRINCE OF SONGKLA UNIVERSITY India

Jyoti Kumari (b. 26 Aug 1996) is a dedicated Ph.D. candidate in Food Science and Technology at Prince of Songkla University, Thailand . With a background in microbiology , she combines academic knowledge with hands-on research in lactic acid bacteria, food safety, and shelf-life enhancement of fish products . She is hardworking, self-motivated, and an excellent communicator , proficient in microbiological techniques and data analysis . Jyoti’s passion for scientific discovery is matched by her active participation in conferences , and she has co-authored publications on antibacterial agents and probiotics. Her drive, research skills, and international exposure make her a promising future scientist .

Profile

Orcid

🎓 Education 

Jyoti Kumari is currently pursuing her Ph.D. in Food Science and Technology at Prince of Songkla University, Thailand (2022–present) . She completed her M.Sc. in Microbiology from Guru Nanak Dev University, Amritsar (2020) with a CGPA of 5.7, and her B.Sc. in Microbiology from Shoolini University, Solan (2018) with a CGPA of 7.9 . She completed her higher secondary (12th) in 2014 with 64.6% and senior secondary (10th) in 2012 with 80.4% . Her academic path reflects consistent dedication to microbiological sciences, research excellence, and growing expertise in food biotechnology .

💼 Experience 

Jyoti has diverse experience in microbiological research and food science. She completed a 3-month QC internship at CPRI Shimla  and 1-month training at Verka Dairy, Mohali . She has worked on multiple major and minor research projects, including neonatal eye infection treatments and lignocellulosic saccharification using fungal secretomes . Currently, her Ph.D. focuses on isolating lactic acid bacteria from marine bivalves for antimicrobial and food preservation applications . Jyoti has presented her findings at international conferences and participated in numerous workshops and webinars , enhancing her practical and academic proficiency in microbiological methods and bioinformatics .

🏅 Awards and Honors 

Jyoti received the Best Poster Presentation Award at the 2024 International Symposium on Natural Product Innovation . She earned the prestigious Reinventing University Scholarship from the Ministry of Higher Education, Thailand . Ranked 112th in state merit in HPBOSE Matriculation (2012) , she also received the BUEST Mastermind Himachal Scholarship in 2013. Her research on polyherbal formulations led to a granted patent, and her achievements reflect both academic brilliance and research innovation . Jyoti continues to gain accolades at global forums, establishing her as an emerging expert in microbiology and food science 🧬.

🔬 Research Focus 

Jyoti Kumari’s research revolves around lactic acid bacteria from marine bivalves, exploring their antimicrobial properties and role in extending the shelf-life of fish products . Her broader interests include probiotics, fermentation, food safety, lignocellulosic biomass utilization, and microbial biotechnology . She has published work on Liquorilactobacillus nagelii and Lactococcus garvieae with applications in combatting foodborne pathogens . Through bioinformatics, chromatography, and microbial analysis, she aims to develop sustainable and effective solutions for food preservation, safety, and nutrition . Her work integrates traditional microbiological approaches with cutting-edge biotechnological tools, ensuring relevance to industry and global health .

📝 Conclusion

Jyoti Kumari is a promising young researcher whose innovative work in microbiology and food technology, international exposure, and a patent demonstrate strong potential. Despite minor academic inconsistencies, her dedication, scientific output, and cross-disciplinary experience make her a suitable and deserving candidate for the Young Scientist Award. With continued publication and leadership, she is on a clear path to becoming a leading scientist in her field.

Publication

  • Author: Kumari, J.; Singh, A.; Pahumunto, N.; Benjakul, S.; Buatong, J.
    Title: Antibacterial potential of cell-free supernatants from Liquorilactobacillus nagelii and Lactococcus garvieae isolated from the gastrointestinal tract of Asian green mussel (Perna viridis) against foodborne pathogenic and spoilage bacteria
    Year: 2025
    Citation: DOI: 10.1016/j.jafr.2025.101855

 

  • Author: Kumari, J.; Singh, A.; Pahumunto, N.; Benjakul, S.; Buatong, J.
    Title: Antibacterial Potential of Liquorilactobacillus Nagelii and Lactococcus Garvieae from the Gastrointestinal Tract of Asian Green Mussel (Perna Viridis) Against Foodborne Pathogenic and Spoilage Bacteria
    Year: 2024
    Citation: DOI: 10.2139/ssrn.5017211 | EID: 2-s2.0-85209419281

 

 

Mohsen Ghorbian | Data Sience | Best Researcher Award

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Dr. Mohsen Ghorbian | Data Sience | Best Researcher Award

Data Sience, Islamic Azad University of Qom Iran

Mohsen Ghorbian  is a forward-thinking computer scientist and researcher recognized for his impactful work in AI, machine learning, IoT, and blockchain within the biomedical and healthcare domain  With a robust portfolio of peer-reviewed publications  from 2020 to 2025, he has contributed to enhancing clinical decision-making and real-time health monitoring systems ⚙️. His interdisciplinary collaborations and leadership in intelligent systems development showcase his commitment to addressing real-world problems through innovative computational methods . He is widely cited and active in the global research community, holding both a Web of Science ResearcherID and ORCiD . Mohsen’s contributions bridge academic research and applied technology , making him a valuable thought leader in modern healthcare computing and serverless architectures.

Profile

Scholar

🎓 Education 

Mohsen Ghorbian has pursued a solid academic background in computer science and engineering , focusing on AI-driven health systems and intelligent computing . He holds advanced degrees, likely including a Ph.D.  with specialization in biomedical informatics, cloud computing, and IoT systems, although precise university details are not publicly listed . His educational journey is evident from his deep engagement in scholarly activities, high-level publication venues , and his active role in bridging computer science with clinical decision support and healthcare AI . The depth of knowledge reflected in his research output signifies extensive formal training in data mining, serverless architectures, blockchain security, and AI applications for medical and industrial domains . Through interdisciplinary learning and rigorous technical education, Mohsen has positioned himself as a specialist in deploying smart technologies in real-time biomedical environments .

💼 Experience 

Mohsen Ghorbian has a vibrant research career  from 2020–2025, with significant contributions to academia and technical development in AI, ML, IoT, and blockchain ecosystems . He’s co-authored and independently authored numerous papers across high-impact journals and conferences , indicating involvement in both individual research and collaborative projects . His work spans practical healthcare systems, including IoT-enabled real-time epilepsy monitoring , ML for hepatitis reduction , and serverless blockchain security for IoT drones . As an academic, he likely holds roles as a lecturer, assistant professor, or senior researcher at a tech or medical-oriented university . Mohsen also contributes to technological advancements through serverless computing, AI decision support, and smart biomedical applications, showcasing hands-on experience in research implementation, system modeling, and prototype development . His career reflects a blend of innovation, critical analysis, and application of computing to solve real-world healthcare challenges 🚑.

🏅 Awards and Honors 

Though specific titles of awards are not mentioned, Mohsen Ghorbian’s publishing record and research breadth imply recognition in academic and professional communities . His work’s inclusion in prestigious venues like Artificial Intelligence Review, Biomedical Signal Processing, and Cancer Treatment & Research Communications  suggests peer recognition and editorial approval for scholarly excellence . Being first author on key papers and collaborating with respected researchers highlights his growing authority in AI-healthcare integration . He is likely a recipient of conference presentation opportunities, research grants, or academic fellowships tied to intelligent systems and digital health technologies . Mohsen’s consistent output and forward-looking projects, such as generative AI for clinical decision-making and IoT-ML for epilepsy, position him as an emerging leader in computer science with international exposure . Holding identifiers like ORCiD and ResearcherID also reflects academic credibility and potential inclusion in expert panels or editorial boards .

🔬 Research Focus 

Mohsen Ghorbian’s research is deeply rooted in the convergence of artificial intelligence , Internet of Things , blockchain , and serverless computing —all applied to transformative healthcare solutions . His focus includes designing intelligent decision support systems, real-time biomedical monitoring platforms, and secure cloud-based environments for medical data processing and alerting systems . He explores how generative AI can empower clinical outcomes , applies machine learning to reduce diagnostic delays and mortality in diseases like hepatitis and lymphoma , and develops secure serverless infrastructures for drone-based and IoT-based healthcare delivery . His interdisciplinary approach integrates biomedical signal processing, bioinformatics, and systems engineering, aiming to make healthcare more predictive, personalized, and preventive . His work not only advances academic theories but also yields practical, deployable technologies bridging computer science with medicine .

✅ Conclusion

Dr. Mohsen Ghorbian presents a strong, evolving research profile with clear contributions to interdisciplinary, high-tech domains like AI-driven healthcare, blockchain-based IoT, and serverless computing. His publication record reflects technical innovation and academic consistency, positioning him as a worthy candidate for a Best Researcher Award, particularly in emerging technology or biomedical informatics domains.

Publication

  • Author: Aladib, L. & Lee, S.P.
    Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
    Year: 2018
    Citations: 10

 

  • Author: Aladib, L.
    Title: Case Study of Object Constraints Language (OCL) Tools
    Year: 2014
    Citations: 3

 

  • Author: Aladib, L., Su, G., & Yang, J.
    Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
    Year: 2025
    Citations: 0

 

  • Author: Aladib, L.
    Title: Detecting Design Pattern and Tracing Its Design Rationale
    Year: 2017
    Citations: 0

 

  • Author: Loay, A.
    Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
    Year: 2017
    Citations: 0

 

  • Author: Aladib, L.
    Title: Task Management System (TMS) for University of Malaya Research Student
    Year: 2015
    Citations: 0

 

  • Author: Aladib, L.
    Title: Case Study of Student Registration System (SRS) Domain
    Year: 2015
    Citations: 0

 

  • Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
    Title: Case Study of Online Properties Auction System (OPAS) Domain
    Year: 2014
    Citations: 0

 

  • Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
    Title: Software Requirements Specification (SRS) Web Publishing System Domain
    Year: 2014
    Citations: 0

 

Loay Aladib | Information Sciences |Young Scientist Award

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Mr. Loay Aladib | Information Sciences |Young Scientist Award

PhD Research Scholar, University of Wollongong

Loay Aladib is a PhD Research Scholar at the University of Wollongong, Australia, specializing in Software Engineering and Artificial Intelligence. With 12+ years of experience, he has led software teams to build efficient, elegant solutions across diverse platforms. His core strength lies in blending practical software design with deep technical research. Loay is currently immersed in developing advanced frameworks that integrate Runtime Verification with stream processing systems like Apache Spark. His work ensures scalable, real-time monitoring of distributed systems, driving innovations in safety-critical applications such as IoT and smart cities. Adept in various languages, frameworks, and cloud platforms, Loay exemplifies the role of a modern software architect and researcher. His commitment to excellence, adaptability, and problem-solving mindset has positioned him at the forefront of next-generation computing solutions. Loay is not only a passionate coder but also a visionary problem solver working at the intersection of code, logic, and impact.

Profile

Scholar

🎓 Education 

 Loay Aladib is currently pursuing a PhD in Software Engineering and Artificial Intelligence at the University of Wollongong, focusing on real-time distributed systems and formal verification techniques. His doctoral research bridges theoretical concepts like Linear Temporal Logic with practical big data stream frameworks. Before this, Loay earned his bachelor’s degree in computer science/software engineering, followed by a postgraduate specialization (details not provided). His academic journey is driven by a desire to enhance software system reliability through intelligent automation and scalable architecture. Loay’s education is marked by continuous learning, technical proficiency, and interdisciplinary exploration, equipping him with the skills to address complex challenges in AI and software development. His PhD candidacy reflects his commitment to research excellence, innovation, and the application of formal methods in real-world computing environments. Through rigorous academic training and practical insight, Loay has developed a unique profile combining academic depth with industry-savvy problem-solving capabilities.

💼 Experience 

 With 12+ years of robust professional experience, Loay Aladib has led software development teams across various tech sectors, delivering high-performance, scalable solutions tailored to business and user needs. His role has spanned full-stack development, system architecture, and collaborative product engineering. Loay consistently combines technical depth with strategic vision, enabling teams to innovate rapidly while maintaining code quality and performance. Beyond corporate roles, his current work as a PhD researcher involves designing AI-integrated monitoring systems for distributed data streams, showcasing a unique fusion of industry expertise with academic rigor. Loay is proficient in cloud platforms, diverse programming languages, and modern software engineering practices. He brings creativity and adaptability to every project, turning technical constraints into scalable solutions. His leadership experience includes mentoring junior developers, managing cross-functional teams, and aligning technical goals with organizational objectives. Loay thrives in dynamic, challenge-driven environments, always pushing boundaries in software reliability and intelligent system design.

🏅 Awards and Honors 

 Loay Aladib has been nominated for prestigious awards such as the Best Researcher Award and Young Scientist Award in recognition of his impactful contributions to the intersection of software engineering and artificial intelligence. While specific award wins are yet to be listed, his nomination itself speaks volumes about the originality, utility, and future relevance of his work. His real-time verification framework for Apache Spark has received positive attention from peers and professionals alike for enhancing system reliability in distributed data environments. Loay’s IEEE membership also signifies his recognition and affiliation within a global community of innovators. His work is not just academic but designed for high-impact real-world applications, particularly in areas like smart cities, IoT, and industrial automation. These contributions underscore his potential for receiving honors in innovation, research excellence, and technology leadership. With several publications and ongoing collaborations, Loay stands out as a rising star in next-gen computing research.

🔬 Research Focus 

 Loay Aladib’s research is centered on enhancing real-time reliability in distributed systems using Runtime Verification (RV) and Linear Temporal Logic (LTL). His doctoral work proposes a novel runtime framework for monitoring LTL properties in streaming environments like Apache Spark, ensuring accurate real-time detection of safety and liveness violations in complex data flows. The research bridges formal verification with practical implementation, introducing scalable and reusable LTL patterns for system developers. A key application includes real-time weather data analysis, where his model detected anomalies in temperature and wind speed conditions efficiently. Loay’s research aims to simplify the adoption of formal methods in industry by making verification tools modular, performant, and adaptable across platforms like Apache Flink and beyond. This work has high potential for applications in IoT, smart infrastructure, and mission-critical industrial monitoring. By aligning correctness with efficiency, Loay’s focus sets a new standard in stream-processing reliability and system assurance.

✅ Conclusion

Loay Aladib is a strong and promising candidate for the Young Scientist Award, especially given his interdisciplinary expertise, real-world applicability of his research, and dedication to bridging theoretical rigor with scalable implementation. While there is scope for academic profile expansion through more citations, publications, and collaborations, his current trajectory and innovations reflect significant potential. Recognizing his work through this award would not only be a timely encouragement but also propel further impactful contributions in AI-driven software engineering and distributed systems.

Publication

Author: Aladib, L. & Lee, S.P.
Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
Year: 2018
Citations: 10

Author: Aladib, L.
Title: Case Study of Object Constraints Language (OCL) Tools
Year: 2014
Citations: 3

Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0

Author: Aladib, L.
Title: Detecting Design Pattern and Tracing Its Design Rationale
Year: 2017
Citations: 0

Author: Loay, A.
Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
Year: 2017
Citations: 0

 

Author: Aladib, L.
Title: Task Management System (TMS) for University of Malaya Research Student
Year: 2015
Citations: 0

Author: Aladib, L.
Title: Case Study of Student Registration System (SRS) Domain
Year: 2015
Citations: 0

Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0

Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0

FAEZEH MAGHSOOD | Infectious disease | Best Researcher Award

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Dr. FAEZEH MAGHSOOD | Infectious disease | Best Researcher Award

Faezeh Maghsood (b. January 5, 1990, Iran)  is a highly skilled immunologist specializing in vaccine development, monoclonal antibodies, and immunotherapy for cancer and infectious diseases.  With a B.Sc., M.Sc., and Ph.D. in Medical Immunology from Tehran University of Medical Sciences (TUMS), she has consistently ranked at the top throughout her academic journey.  She currently works as a Research Associate at TUMS and has previously held positions at the Pasteur Institute of Iran and renowned clinical labs. 🧪 Her Ph.D. work focused on SARS-CoV-2 monoclonal antibody production, earning her multiple prestigious awards.  She has contributed to peer-reviewed journals and actively participates in global scientific events, including immunology congresses in Japan  and Iran. Faezeh is passionate about cutting-edge biomedical research, particularly tumor immunology and stem cells, and continues to push the boundaries in translational medicine.

Profile

Scholar

🎓 Education

Faezeh earned her B.Sc. in Medical Laboratory Sciences (2008–2012) from TUMS with a GPA of 18.33/20, showcasing her early interest in clinical diagnostics. She pursued her M.Sc. in Medical Immunology (2012–2016) at the same university, achieving an impressive GPA of 19.32/20, and researched probiotics’ effects on MMPs and immune markers . Her Ph.D. in Medical Immunology (2018–2023) was also from TUMS, with a GPA of 18.61/20, culminating in a thesis on the structural and functional characterization of neutralizing mouse monoclonal antibodies against SARS-CoV-2 under the supervision of Prof. Fazel Shokri and Dr. Amiri . Her academic journey reflects a strong foundation in both theoretical and applied aspects of immunological sciences, bolstered by exceptional talent recognition and consistent academic excellence .

👩‍🏫 Experience

Faezeh currently serves as a Research Associate at Tehran University of Medical Sciences (2024–Present), where she contributes to cutting-edge immunology research . Previously, she worked as a Research Assistant and Lab Manager (2015–2018) at the Pasteur Institute of Iran’s Biochemistry Department in the Stem Cell Lab . Her clinical background includes valuable roles in diagnostic laboratories at Shariati Hospital and Imam Khomeini Hospital during 2011–2012 . This diverse experience combines academic research, lab management, and hands-on clinical diagnostics, equipping her with a comprehensive skillset in experimental design, immunoassays, and lab operations . She actively participates in international training programs, enhancing her knowledge in genome editing, CRISPR/Cas9, RNA-seq, and R programming .

🏆 Awards & Honors

Faezeh has received several notable accolades, including 3rd place in the M8 Alliance Best PhD Thesis Prize (2024)  and selection as Best PhD Thesis at TUMS . She was ranked 1st nationally in Iran’s 2018 Ph.D. entrance exam in medical sciences . During her M.Sc. studies, she was acknowledged as an exceptionally talented student at TUMS’s Faculty of Allied Medicine (2012) and was the top student throughout her undergraduate years (2008–2012) . These achievements highlight her unwavering dedication, academic excellence, and research leadership . Faezeh’s accomplishments reflect a persistent pursuit of innovation and a strong commitment to contributing meaningfully to global scientific advancement, particularly in the fields of immunotherapy and biomedical diagnostics .

🔬 Research Focus

Faezeh’s research is deeply rooted in medical immunology, with core interests in vaccine development, monoclonal antibody production, and immunotherapy for cancer and infectious diseases . Her Ph.D. project involved the creation and detailed analysis of neutralizing monoclonal antibodies targeting SARS-CoV-2, highlighting her expertise in virology and structural immunology . She is also passionate about tumor immunology, exploring immune mechanisms in oncology, and advancing stem cell-based therapies . Faezeh is dedicated to bridging basic science with clinical application, using advanced methods like flow cytometry, CRISPR/Cas9 editing, RNA-Seq, and bioinformatics for translational immunological research . Her interdisciplinary focus aims to address global health challenges through innovation, collaboration, and precision medicine.

 Conclusion

Dr. Faezeh Maghsood is an exceptionally promising early-career researcher in medical immunology with a strong academic foundation, robust research outputs, and international exposure. Her work on monoclonal antibodies and SARS-CoV-2 is not only timely but also highly significant in the global health landscape. While she is still in the early stages of building a fully independent research portfolio, her trajectory, productivity, and recognition make her a highly suitable and worthy candidate for a Best Researcher Award, particularly in the early-career or emerging investigator category.

Publication

  1. Title: Hypoxia pre-conditioned embryonic mesenchymal stem cell secretome reduces IL-10 production by peripheral blood mononuclear cells
    Year: 2017
    Authors: M Lotfinia, S Lak, NM Ghahhari, B Johari, F Maghsood, S Parsania, …
    Citation: 45

 

  1. Title: Anti-proliferative and Anti-metastatic Potential of High Molecular Weight Secretory Molecules from Probiotic Lactobacillus Reuteri Cell-Free Supernatant Against …
    Year: 2020
    Authors: F Maghsood, B Johari, M Rohani, H Madanchi, Z Saltanatpour, M Kadivar
    Citation: 44

 

  1. Title: Dual effects of cell free supernatants from Lactobacillus acidophilus and Lactobacillus rhamnosus GG in regulation of MMP-9 by up-regulating TIMP-1 and down-regulating CD147 in …
    Year: 2017
    Authors: F Maghsood, A Mirshafiey, MM Farahani, MH Modarressi, P Jafari, …
    Citation: 43

 

  1. Title: Myc decoy oligodeoxynucleotide inhibits growth and modulates differentiation of mouse embryonic stem cells as a model of cancer stem cells
    Year: 2017
    Authors: B Johari, M Ebrahimi-Rad, F Maghsood, M Lotfinia, Z Saltanatpouri, …
    Citation: 23

 

  1. Title: SARS‐CoV‐2 nucleocapsid: Biological functions and implication for disease diagnosis and vaccine design
    Year: 2023
    Authors: F Maghsood, A Ghorbani, H Yadegari, F Golsaz‐Shirazi, MM Amiri, …
    Citation: 17

 

  1. Title: Diagnostic performance of a novel antigen-capture ELISA for the detection of SARS-CoV-2
    Year: 2023
    Authors: H Yadegari, M Mohammadi, F Maghsood, A Ghorbani, T Bahadori, …
    Citation: 16

 

  1. Title: Does prior immunization with measles, mumps, and rubella vaccines contribute to the antibody response to COVID-19 antigens?
    Year: 2021
    Authors: D Hassani, MM Amiri, F Maghsood, V Salimi, GA Kardar, O Barati, …
    Citation: 16

 

  1. Title: Epitope mapping of severe acute respiratory syndrome coronavirus 2 neutralizing receptor binding domain-specific monoclonal antibodies
    Year: 2022
    Authors: F Maghsood, MM Amiri, AH Zarnani, V Salimi, GA Kardar, J Khoshnoodi, …
    Citation: 14

 

  1. Title: The effect of Trimetazidine and Diazoxide on immunomodulatory activity of human embryonic stem cell-derived mesenchymal stem cell secretome
    Year: 2017
    Authors: S Jahandideh, F Maghsood, NM Ghahhari, M Lotfinia, M Mohammadi, …
    Citation: 14

 

  1. Title: Epitope mapping of neutralising anti‐SARS‐CoV‐2 monoclonal antibodies: implications for immunotherapy and vaccine design
    Year: 2022
    Authors: S Ghotloo, F Maghsood, F Golsaz‐Shirazi, MM Amiri, C Moog, F Shokri
    Citation: 12

 

  1. Title: Identification of immunodominant epitopes on nucleocapsid and spike proteins of the SARS-CoV-2 in Iranian COVID-19 patients
    Year: 2022
    Authors: F Maghsood, MR Shokri, M Jeddi-Tehrani, M Torabi Rahvar, A Ghaderi, …
    Citation: 11

 

  1. Title: Inhibition of transcription factor T‐cell factor 3 (TCF3) using the oligodeoxynucleotide strategy increases embryonic stem cell stemness: Possible application in regenerative …
    Year: 2019
    Authors: B Johari, Z Asadi, E Rismani, F Maghsood, Z Sheikh Rezaei, S Farahani, …
    Citation: 11

 

  1. Title: Anti-inflammatory property of β-D-mannuronic acid (M2000) on expression and activity of matrix metalloproteinase-2 and-9 through CD147 molecule in phorbol myristate acetate …
    Year: 2017
    Authors: MM Farahani, E Motevaseli, F Maghsood, M Heidari-Kharaji, A Mirshafiey
    Citation: 11