Faezeh Parastesh | Research Excellence | Research Excellence Award

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Dr. Faezeh Parastesh | Research Excellence | Research Excellence Award

University of Manitoba | Canada

Faezeh Parastesh is a soil scientist with strong expertise in greenhouse gas emissions, soil nutrient management, and climate-smart agricultural systems. She is currently pursuing doctoral research in soil science at the University of Manitoba, focusing on nitrous oxide emissions from cropping systems with varying degrees of perennialization, aligned with global net-zero goals. Her academic background integrates advanced training in soil ecology, quantitative and non-traditional research methods, machine learning applications in agriculture, and climate-smart soil management. She holds a master’s degree in soil science from the University of Manitoba, where her research examined relationships between soil nitrous oxide concentrations and surface fluxes under diverse farming practices. She also earned a master’s degree in soil biology and biotechnology from the University of Tehran, specializing in vermicompost enrichment using phosphate-solubilizing bacteria to enhance phosphorus availability and crop uptake in calcareous soils. Her undergraduate training in soil science included research on wind erosion prediction systems, providing a solid foundation in soil conservation and land management. Faezeh has published in high-impact, peer-reviewed journals on topics including microbial consortia, plant defense mechanisms, phosphorus bioavailability, and sustainable soil management. She has also contributed to ongoing research on drought stress mitigation using biochar and plant growth-promoting rhizobacteria. Her work has been presented at national and regional scientific conferences, reflecting active engagement with the soil science research community. Professionally, she has extensive experience as a laboratory technician, graduate teaching assistant, and research intern. Her work spans field and laboratory sampling, soil and plant analysis, mentoring students, teaching soil and water management, and developing greenhouse gas prediction protocols for municipal applications. She is proficient in R, SAS, Python, and statistical modeling tools, and is skilled in experimental design, soil mapping, and land capability assessment. Recognized through multiple scholarships and awards, she is also actively involved in academic service, peer review, and outreach with farmers and researchers, demonstrating strong leadership and commitment to sustainable agriculture.

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Caoming Fan | Research Excellence | Research Excellence Award

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Dr. Caoming Fan | Research Excellence | Research Excellence Award

Tsinghua University | China

Caoming Fan is a postdoctoral researcher in the Department of Electronic Engineering at Tsinghua University, working in the PNT Laboratory under the supervision of Prof. Zheng Yao. He holds a doctoral degree in Circuits and Systems from the School of Microelectronics, Shandong University, and has received comprehensive academic training spanning electronic engineering, microelectronics, and geodesy. His interdisciplinary background enables him to bridge theoretical signal processing with practical high-precision positioning applications. Dr. Fan’s research focuses on GNSS and pseudolite-based precise positioning technologies, with particular emphasis on ambiguity resolution, real-time kinematic and PPP/PPP-RTK methods, and error modeling. He has made notable contributions to ground-based and pseudolite-augmented GNSS systems, addressing challenges in indoor and complex environments where conventional satellite navigation performance is limited. His work also extends to GNSS and pseudolite receiver design, baseband signal processing, and multi-sensor fusion, supporting robust, high-accuracy navigation solutions. He has published multiple peer-reviewed articles in leading international journals, including Journal of Geodesy and GPS Solutions, covering topics such as pseudolite system augmentation, ground-based PPP-RTK frameworks, calibration techniques for indoor positioning, and phase correction modeling. His early research also contributed to understanding satellite attitude effects on phase wind-up in precise point positioning, reflecting a strong foundation in both theoretical modeling and applied geodesy. Dr. Fan’s academic excellence and research innovation have been recognized through several prestigious awards at national conferences in satellite navigation and location-based services, as well as competitive innovation and entrepreneurship platforms. He has also received a highly competitive national doctoral scholarship. With strong expertise in high-precision navigation, signal processing, and system integration, Dr. Fan continues to advance next-generation positioning, navigation, and timing technologies, contributing to both academic research and practical GNSS/pseudolite applications in challenging environments.

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Lu Hongbin | Research Excellence | Research Excellence Award

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Dr. Lu Hongbin | Research Excellence | Research Excellence Award

State Key Laboratory of Coal Conversion | China

Hongbin Lu is an accomplished environmental engineer specializing in water environment治理, ecological restoration, and pollution control technologies. He holds a doctoral degree in Environmental Engineering jointly awarded by Beijing Normal University and the Chinese Research Academy of Environmental Sciences. He currently serves as an Assistant Researcher at the National Key Laboratory of Coal Clean and Efficient Utilization, Institute of Coal Chemistry, Chinese Academy of Sciences, and acts as a Guest Expert at the Innovation Center for Ecological Protection and Restoration in the Middle Yellow River under the Ministry of Natural Resources. Dr. Lu has established a strong research profile with a substantial body of peer-reviewed publications in high-impact international environmental journals. A significant portion of his work appears as first or corresponding author, reflecting his leadership in scientific innovation and research design. His publications include SCI-indexed articles and a featured cover paper, highlighting the visibility and impact of his research within the global environmental science community. In addition to academic publishing, Dr. Lu demonstrates exceptional innovation capacity through extensive intellectual property achievements. He holds numerous authorized patents, including multiple invention patents, and is the first inventor on several additional invention patent applications. His research outputs have been translated into practical guidance, most notably through his key contribution to nationally adopted technical guidelines on water quality purification using constructed wetlands. These guidelines have been widely implemented, supporting ecological restoration and water quality improvement across diverse regions. Dr. Lu is actively engaged in academic service and leadership. He serves as a Guest Editor for an international journal and regularly reviews manuscripts for well-regarded environmental science publications. He also plays an important role in advancing disciplinary development by contributing to major national academic conferences as a scientific committee member and session chair or organizer. Furthermore, he has led and significantly contributed to multiple competitive research projects supported by national and provincial funding agencies, reinforcing his reputation as a leading young scholar with strong scientific, technological, and societal impact.

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Arezoo Taghizadeh-Toosi | Research Excellence | Research Excellence Award

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Dr. Arezoo Taghizadeh-Toosi | Research Excellence | Research Excellence Award

Danish Technological Institute | Denmark

Arezoo Taghizadeh-Toosi is an accomplished soil scientist with extensive international experience in agricultural and environmental research. Her work focuses on understanding and managing soil carbon and nitrogen dynamics in both mineral and organic soils, with particular emphasis on sustainable agricultural systems. She has developed strong expertise in mitigating gaseous emissions from soils, including ammonia volatilization and greenhouse gases such as carbon dioxide and nitrous oxide, contributing significantly to climate-smart agriculture initiatives. Her research portfolio includes advanced investigations into the role of biochar in soils, combining experimental measurements with process-based and statistical modelling approaches. She is particularly skilled in applying and developing models for soil carbon turnover and nutrient cycling, supporting evidence-based decision-making in land management and environmental policy. In addition, her work addresses complex interactions between soil iron, sulfur, carbon, and nitrogen cycles, as well as phosphorus accumulation and spatial distribution in intensively managed agricultural landscapes. Arezoo has held senior and research scientist positions across leading research institutions in Europe, Oceania, and Asia, reflecting a strong global research profile and interdisciplinary collaboration. She has contributed to both academic and applied research environments, bridging fundamental soil science with practical solutions for agriculture, digitalization, and environmental sustainability. Her experience also includes academic teaching and international visiting appointments, demonstrating her commitment to knowledge exchange and capacity building. She is an active contributor to the scientific community, serving as an expert reviewer for international funding bodies and participating in grant review panels. Her professional service extends to conference leadership and certified research-based consultancy for the public sector. With a strong publication record, high citation impact, and recognized expertise, Arezoo Taghizadeh-Toosi is a leading figure in soil biogeochemistry and sustainable land-use research.

 

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Taoufik Alsaadi | Research Excellence | Best Researcher Award

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Prof. Taoufik Alsaadi | Research Excellence | Best Researcher Award

American Center for Psychiatry & Neurology | United Arab Emirates

Dr. Taoufik Alsaadi, MD, FAAN, is an internationally recognized neurologist and epileptologist with extensive expertise in epilepsy, electroencephalography, and medical education. He currently serves as Chairman of the Neurology Department and Chief Medical Officer at the American Center for Psychiatry & Neurology (ACPN) in Abu Dhabi, where he plays a pivotal role in advancing clinical excellence, academic development, and patient-centered neurological care. Born in Damascus, Syria, Dr. Alsaadi received his medical education at Damascus University before pursuing advanced postgraduate training in neurology, epilepsy, and clinical neurophysiology across leading academic institutions in the United States. He completed comprehensive residency and fellowship training, including advanced subspecialty training in epilepsy and electrophysiology at premier centers, establishing a strong foundation in both clinical practice and academic neurology. Dr. Alsaadi is board-certified in neurology, clinical neurophysiology, and epilepsy, and holds multiple international medical licenses. His clinical interests focus on complex epilepsy management, EEG interpretation, and the integration of evidence-based practices into neurological care. He is widely respected for his contributions to improving the quality of life of patients with epilepsy and for his compassionate, patient-focused approach. An accomplished educator, Dr. Alsaadi has held academic appointments at prominent universities and has been deeply involved in undergraduate, graduate, and postgraduate medical education. He has directed residency and fellowship programs, led CME and GME initiatives, and mentored numerous physicians and fellows who now practice globally. Dr. Alsaadi’s leadership extends to international professional organizations, where he has served in senior roles within epilepsy and neurology societies, contributing to education, policy, guideline development, and disease classification initiatives. He is also actively engaged in editorial and peer-review activities for leading neurological journals.

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Diana Dorobantu | Research Excellence | Research Excellence Award

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Assoc. Prof. Dr. Diana Dorobantu | Research Excellence | Research Excellence Award

ISFA | Université Lyon 1 | France

Diana Dorobantu is an Associate Professor (Maître de Conférences) at Université Lyon 1, affiliated with the Laboratoire de Sciences Actuarielles et Financières and the Institut de Science Financière et d’Assurances (ISFA). Her academic profile reflects a strong interdisciplinary foundation spanning applied mathematics, finance, actuarial science, and risk modeling, supported by advanced training in both mathematical theory and economic applications. Her research expertise lies at the intersection of stochastic processes and applied probability, with a particular emphasis on stochastic control, optimal stopping, and the study of hitting times and passage time distributions. She has made significant contributions to mathematical finance and insurance mathematics, especially in areas related to default risk modeling, contagion effects, life insurance valuation, climate risk, and actuarial applications of Ornstein–Uhlenbeck processes. Her work is recognized for combining rigorous theoretical developments with practical relevance to financial and insurance risk management. Professor Dorobantu has authored and co-authored numerous peer-reviewed publications in leading international journals, including Stochastics, Bernoulli, Quantitative Finance, Journal of Applied Probability, Stochastic Models, and Methodology and Computing in Applied Probability. Her research addresses both analytical and statistical challenges, such as first-passage time densities, suprema-based inference, renewal-reward processes, and parameter estimation for stochastic models. She has also contributed to applied studies in climate risk and agricultural insurance, demonstrating the societal relevance of her work. In addition to her research activities, she is deeply engaged in doctoral supervision, having guided multiple PhD candidates on topics related to stochastic processes, actuarial science, and climate-related risk modeling. Her administrative leadership includes directing graduate-level programs in financial risk engineering and coordinating international actuarial training initiatives. Through her combined roles as researcher, supervisor, and academic leader, Diana Dorobantu has played a key role in advancing actuarial science education and research with strong international visibility.

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Featured Publications

An Extension of Davis and Lo’s Contagion Model

A. Cousin, D. Dorobantu, D. Rullière · Quantitative Finance · Cited by 23
Optimal Strategies in a Risky Debt Context

D. Dorobantu, M. Elvira Mancino, M. Pontier · Stochastics · Cited by 9
Joint Law of an Ornstein–Uhlenbeck Process and Its Supremum

C. Blanchet-Scalliet, D. Dorobantu, L. Gay · Journal of Applied Probability · Cited by 8
A Model-Point Approach to Indifference Pricing of Life Insurance Portfolios with Dependent Lives

C. Blanchet-Scalliet, D. Dorobantu, Y. Salhi · Methodology and Computing in Applied Probability · Cited by 8

Amir H. Navarchian | Research Excellence | Research Excellence Award

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Prof. Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | University of Isfahan | Iran

Prof. Amir H. Navarchian is a distinguished Professor of Chemical and Polymer Engineering at the University of Isfahan, Iran. He earned his B.Sc. in Chemical Engineering from Isfahan University of Technology, and his M.Sc. and Ph.D. in Chemical Engineering from Tarbiat Modares University, Tehran. He has completed postdoctoral research at the University of Groningen, Netherlands, focusing on polyurethane rheokinetics, and a sabbatical at the University of Waterloo, Canada, investigating polyvinyl acetate as a polymer binder for hybrid aqueous batteries. Prof. Navarchian’s research spans polymer membranes, polymer gas sensors, self-healing composites, and polymerization engineering. He has published extensively, with over 25 journal articles covering polymer/clay nanocomposites, emulsion polymerization, polyurethane chemistry, and molecular simulation studies. His work on PVC/clay nanocomposites led to a patented in-situ polymerization method registered in Iran in 2017. He has also contributed to industrial projects with leading Iranian companies, including the Iranian National Petrochemical Company and Mobarakeh Steel Company, and served as a technical consultant on PVC production processes at Arvand Petrochemical Complex. As an educator, Prof. Navarchian teaches both undergraduate and graduate courses, including Advanced Membrane Process Engineering, Polymerization Reaction Engineering, and Design of Experiments. He actively mentors graduate students in chemical and polymer engineering. He is a member of the Iranian Chemical Engineering Association, Iranian Polymer Engineering Association, and Iranian Composite Association. With a Google Scholar H-index of 21 and i10-index of 41, his research has significantly impacted polymer science, nanocomposites, and industrial polymer processes. Prof. Navarchian combines academic excellence with industrial relevance, driving innovation in polymer engineering while fostering the next generation of engineers through teaching, research, and applied consultancy.

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Qihang Li | Research Excellence | Research Excellence Award

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Dr. Qihang Li | Research Excellence | Research Excellence Award

Chongqing University | China

Dr. Qihang Li, Ph.D. from Chongqing University, is an emerging researcher specializing in underground energy storage, rock mechanics, and geotechnical monitoring. His core research focuses on evaluating the feasibility, stability, and airtightness of storing compressed air, natural gas, hydrogen, and carbon dioxide in low-grade salt caverns filled with sediments—a critical direction for advancing large-scale, safe, and sustainable subsurface energy storage technologies. In addition to his contributions to underground storage engineering, Dr. Li integrates computer vision technology into geotechnical applications. He has conducted innovative work on rock and slope monitoring, early-warning systems, and image-recognition–based hazard detection, strengthening the interdisciplinary link between geomechanics and intelligent sensing. Over the past five years, Dr. Li has demonstrated strong research leadership. He has chaired one postgraduate scientific research innovation project and served as a key contributor to more than 10 major research initiatives, including national key R&D sub-projects, general and regional foundation programs, youth funds, and industry–academia collaborative projects. Dr. Li has an impressive publication record, with 45 papers published or accepted—35 indexed in SCI. As the first or corresponding author, he has produced 25 articles in top-tier SCI journals, such as Energy Storage Materials, International Journal of Mining Science and Technology, Chemical Engineering Journal, Journal of Rock Mechanics and Geotechnical Engineering, and Journal of Cleaner Production. His cumulative impact factor exceeds 152.5, with more than 1,100 ResearchGate citations and an H-index of 18. His contributions include 8 ESI Highly Cited/Hot Papers and 2 papers cited over 100 times.

 

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Farzaneh Barati | Biotechnology Awards | Research Excellence Award

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Dr. Farzaneh Barati | Biotechnology Awards | Research Excellence Award

Dr. Farzaneh Barati | Alzahra University | Iran

Dr. Farzaneh Barati is a dedicated researcher in Microbial Biotechnology at Alzahra University, Tehran, where she is affiliated with the Department of Biotechnology, Faculty of Biological Sciences. She earned her PhD in Microbial Biotechnology after completing her BSc in Cellular and Molecular Biology–Biotechnology and MSc in Microbial Biotechnology, achieving top rankings and being admitted through a gifted-talent program. Her expertise spans microbial cloning, enzyme immobilization, green synthesis of nanoparticles, and the integration of bioinformatics into experimental design. She is also proficient in the design of experiments (DOE) and employs a broad range of bioinformatics and genetics software in her research. Dr. Barati has successfully completed several significant research projects, including cloning the phbC gene in Ralstonia eutropha to enhance polyhydroxybutyrate production, immobilization of microbial collagenase on metal nanoparticles using bioinformatic and experimental approaches, and isolation and molecular characterization of a native microbial species from soil contaminated with slaughterhouse waste, with GenBank accession documentation. Her work has resulted in multiple publications in internationally recognized journals indexed in Scopus and ISI, contributing to her scholarly impact. Her research is characterized by a focus on innovative biotechnological applications, combining molecular biology, enzyme engineering, and nanobiotechnology to address environmental and industrial challenges. Dr. Barati actively presents her findings at conferences and collaborates with fellow researchers, fostering knowledge exchange and advancing the field of microbial biotechnology. She is a full member of the Iranian Society of Microbial Science and Technology and maintains active academic profiles on Google Scholar and ResearchGate, reflecting her commitment to transparency and scholarly communication. Dr. Barati’s contributions highlight her dedication to advancing microbial biotechnology through innovative research, impactful publications, and practical applications, making her a distinguished candidate for the Research Excellence Award.

Profile: Orcid | Google Scholar

Featured Publications

Barati, F., Hosseini, F., Vafaee, R., Sabouri, Z., Ghadam, P., Arab, S. S., Shadfar, N., & Piroozmand, F. (2024). In silico approaches to investigate enzyme immobilization: A comprehensive systematic review. Physical Chemistry Chemical Physics. https://doi.org/10.1039/d3cp03989g

Majidi Ghahfarokhi, S., Hosseini, F., Ghadam, P., & Barati, F. (2024). Isolation and characterization of a collagenase-producing bacterium from the soil contaminated with slaughterhouse waste. Biocatalysis and Agricultural Biotechnology. https://doi.org/10.1016/j.bcab.2024.103407

Barati, F., Hosseini, F., Ghadam, P., & Arab, S. S. (2024). Optimizing CuO nanoparticle synthesis via walnut green husk extract utilizing response surface methodology. Journal of Molecular Structure. https://doi.org/10.1016/j.molstruc.2024.139077

Barati, F., Asgarani, E., Gharavi, S., & Soudi, M. R. (2021). Considerable increase in Poly(3-hydroxybutyrate) production via phbC gene overexpression in Ralstonia eutropha PTCC 1615. BioImpacts. https://doi.org/10.34172/BI.2021.07

Barati, F., Hosseini, F., Habibi Moghadam, F., & Abbasi Dezfouli, S. (2021). Face mask as a tool to prevent the coronavirus disease 2019: The importance and challenges. International Journal of Health and Life Sciences. https://doi.org/10.5812/ijhls.109729

Barati, M., Javanmardi, F., Mousavi Jazayeri, S. M. H., Jabbari, M., Rahmani, J., Barati, F., Nickho, H., Davoodi, S. H., Roshanravan, N., & Mousavi Khaneghah, A. (2020). Techniques, perspectives, and challenges of bioactive peptide generation: A comprehensive systematic review. Comprehensive Reviews in Food Science and Food Safety. https://doi.org/10.1111/1541-4337.12578

Eric Howard | Research Excellence | Research Excellence Award

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Dr. Eric Howard | Research Excellence | Research Excellence Award

Dr. Eric Howard | Macquarie University | Australia

Dr. Eric Howard is an accomplished academic leader, researcher, and innovator with nearly three decades of combined experience across computational physics, astronomy, quantum computing, data science, and cybersecurity. He has made influential contributions through teaching, curriculum design, research supervision, and interdisciplinary program development across multiple higher-education sectors. His academic leadership includes directing programs and advancing pedagogical frameworks for undergraduate, postgraduate, and MBA-level studies. Dr. Howard’s research portfolio reflects significant advancements in emerging technologies. His completed and ongoing projects span quantum machine learning for fraud detection, hybrid quantum-classical neural networks for intrusion detection, quantum Bayesian inference models, variational simulations of molecular ground states, holographic beam shaping with AI optimization, and quantum graph neural networks for complex systems. He has published more than sixty peer-reviewed papers in respected SCI and Scopus-indexed journals, covering quantum information science, artificial intelligence, cosmology, cryptography, and computational physics. He also contributes to global scholarship as an editor for international journals in physics and theoretical mathematics, while serving as a peer reviewer for prominent scientific publishers and organizations. In addition, Dr. Howard maintains strong collaborative ties with national research institutes, quantum technology networks, and centers of excellence, advancing high-impact interdisciplinary projects. In industry, Dr. Howard has demonstrated entrepreneurial leadership as CEO of companies specializing in AI-powered cybersecurity and data-driven digital automation. His consultancy experience includes developing secure e-learning ecosystems, threat intelligence platforms, cloud security frameworks, and advanced analytics solutions for enterprise and academic clients. Dr. Howard’s key contributions include pioneering quantum-enhanced cybersecurity models, designing AI-driven threat intelligence frameworks, and leading competitive grant-funded projects in quantum sensing, VQE simulations, and digital security. His sustained commitment to innovation, mentorship, and research excellence underscores his significant impact on scientific, technological, and educational advancement.

Profile: Orcid | Google Scholar

Featured Publications

Howard, E. (2025). Data imputation with deep learning: AI techniques for handling missing or noisy data. Eksplorium. https://doi.org/10.52783/eksplorium.65

Howard, E. (2025). End-to-end visibility in global supply chains: Blockchain and AI integration [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28528676

Howard, E. (2025). Leveraging computer vision and data science for enhanced operational efficiency in smart enterprises. Tangence. https://doi.org/10.52783/tangence.6

Ramshankar, P., Howard, E., Srinivasan, V., Prabu, D., Dhanraj, J. A., Kumar, M. J., & Rajendiran, M. (2025). Nanoscale characterization and imaging techniques for material analysis. AIP Conference Proceedings. https://doi.org/10.1063/5.0277578

Howard, E. (2025). Optimization of heat transfer in mechanical systems using AI in neural networks. Tangence. https://doi.org/10.52783/tangence.3

Howard, E. (2025). Real-time image-based data processing and its applications in managerial decision-making and risk analysis. Eksplorium. https://doi.org/10.52783/eksplorium.181