Author: Young Scientists Awards

🎓 Education

Ph.D. in Biochemical and Biotechnological Sciences: University of Campania Luigi Vanvitelli (2019). Master’s Degree in Biology (LM-6): University of Naples “Federico II” (2016), graduated 110 cum laude. Undergraduate Training: Specialization in molecular biochemistry and precision medicine. Academic projects focused on antioxidant assays, DNA/RNA analysis, and apoptosis markers.

🧑‍🏫 Experience

Postdoctoral Fellow: AIRC-funded project on bladder cancer, IGB-ABT, CNR (2023-2026). Research Grant Recipient: IBP Institute, CNR, Naples (2020-2022). Visiting Scientist: Zewail City of Science and Technology, Egypt (2021). Internship: University of Tübingen, Germany (2018); Campania Luigi Vanvitelli (2016). Expertise in cell cultures, protein purification, FACS, and PCR.

🏆 Awards and Honors

Ph.D. Excellence: University of Campania Luigi Vanvitelli (2019). Awarded 2022 AIRC Postdoctoral Fellowship for cancer research. Recognized for outstanding research presentations at international conferences. Cum Laude distinction for Master’s degree in Biology.

🔬 Research Focus

Bladder Cancer: Investigating long non-coding RNAs (uc.8+) and their diagnostic/therapeutic potential. Molecular Biochemistry: Protein-DNA/RNA interactions and apoptosis mechanisms. Antioxidant Research: Protective effects of hydroxytyrosol in oxidative stress and mercury detoxification. Techniques: In silico docking, cell/tissue cultures, ROS assays, and enzymatic kinetics.

🏆Conclusion

Dr. Tortora’s academic rigor, technical proficiency, and impactful research contributions make her a strong contender for the Women Researcher Award. Her work addresses critical biomedical challenges, such as cancer diagnostics and environmental toxicology, underscoring her relevance in both clinical and ecological contexts. By broadening her collaborations and enhancing publication impact, Dr. Tortora can further solidify her position as a leading researcher. She exemplifies excellence in research and is well-suited for recognition through this prestigious award.

📚Publications

Prediction of Pesticide Interactions with Proteins Involved in Human Reproduction by Using a Virtual Screening Approach: A Case Study of Famoxadone Binding CRBP-III and Izumo
- Year: 2024
- Authors: Tortora, F., Guerrera, V., Lettieri, G., Febbraio, F., Piscopo, M.

Emerging RNA-Based Therapeutic and Diagnostic Options: Recent Advances and Future Challenges in Genitourinary Cancers
- Year: 2023
- Authors: Tortora, F., La Civita, E., Trivedi, P., Terracciano, D., Cimmino, A.

CD33 rs2455069 SNP: Correlation with Alzheimer’s Disease and Hypothesis of Functional Role
- Year: 2022
- Authors: Tortora, F., Rendina, A., Angiolillo, A., Febbraio, F., Vitale, E.

Effects of long non-coding RNAs on androgen signaling pathways in genitourinary malignancies
- Year: 2021
- Authors: Tortora, F., Calin, G.A., Cimmino, A.

Liquid biopsy biomarkers in urine: A route towards molecular diagnosis and personalized medicine of bladder cancer
- Year: 2021
- Authors: Ferro, M., La Civita, E., Liotti, A., Cimmino, A., Terracciano, D.

Novel insights into mercury effects on hemoglobin and membrane proteins in human erythrocytes
- Year: 2020
- Authors: Piscopo, M., Notariale, R., Tortora, F., Palumbo, G., Manna, C.

Hydroxytyrosol decreases phosphatidylserine exposure and inhibits suicidal death induced by lysophosphatidic acid in human erythrocytes
- Year: 2019
- Authors: Tortora, F., Notariale, R., Lang, F., Manna, C.

Phenol-rich feijoa sellowiana (Pineapple guava) extracts protect human red blood cells from mercury-induced cellular toxicity
- Year: 2019
- Authors: Tortora, F., Notariale, R., Maresca, V., Piscopo, M., Manna, C.

Comparative analysis of the effects of olive oil hydroxytyrosol and its 5-S-lipoyl conjugate in protecting human erythrocytes from mercury toxicity
- Year: 2018
- Authors: Officioso, A., Panzella, L., Tortora, F., Napolitano, A., Manna, C.

Hui Zhang | Environmental Science | Best Researcher Award

Published on 10/12/202410/12/2024 by Young Scientists Awards

Assoc. Prof. Dr. Hui Zhang | Environmental Science | Best Researcher Award

Assoc. Prof. Dr at School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, China

Assoc. Prof. Dr. Zhang is a distinguished researcher at the School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, China. With more than 60 publications in renowned journals such as Waste Management, Resources, Conservation & Recycling, and Nature Communications, Dr. Zhang focuses on environmental management in urban ecosystems, particularly using Life Cycle Assessment (LCA) and material flow analysis. His work spans carbon mitigation strategies for food waste, municipal solid waste (MSW), and construction waste, often integrating advanced information and resource realization technologies.

Profile

🎓 Education

Dr. Zhang holds a Ph.D. in Environmental Science from a prestigious university in China. He completed his undergraduate studies in chemistry and environmental engineering, followed by advanced graduate research in urban ecosystem environmental management. His research is rooted in developing sustainable solutions for waste management, environmental impact reduction, and resource recovery.

🧑‍🏫 Experience

Assoc. Prof. Dr. Zhang has taught and mentored students at the Wuhan Institute of Technology, focusing on environmental engineering, waste management, and sustainable technologies. His academic career includes leading several impactful research projects in urban waste reduction, contributing to numerous international studies. He has also collaborated extensively with governmental bodies and research institutions on environmental policies.

🏆 Awards and Honors

Dr. Zhang has received multiple accolades for his research excellence, including the Best Paper Award in several international conferences. He was recognized for his contributions to environmental science, receiving the Early Career Researcher Award from the Chinese Environmental Science Association and numerous research funding awards.

🔬 Research Focus

Dr. Zhang’s research focuses on urban ecosystem environmental management, with a particular emphasis on carbon mitigation solutions for food waste, MSW, and construction waste. He employs LCA and material flow analysis, alongside emerging technologies, to assess the environmental impacts of urban waste. His studies explore sustainable methods for waste reduction and resource recovery, aiming to reduce China’s rapidly growing food waste issues.

🏆Conclusion

Dr. Zhang is an exceptional researcher whose work in urban waste management, environmental impact assessment, and sustainable technology solutions is highly relevant to contemporary environmental challenges. His significant contributions to the field, evidenced by his extensive publication record and influential research on food waste reduction, solidify his suitability for the Best Researcher Award. By continuing to expand his interdisciplinary collaborations and broadening the scope of his research, Dr. Zhang has the potential to make even greater contributions to global environmental sustainability. He is undoubtedly a leading figure in his field and a strong candidate for the award.

📚Publications

The effects of an online food waste reduction platform in university canteens in Wuhan, China
- Year: 2024
- Authors: Du, W., Xue, L., Xu, D., Chen, J., Zhang, H.

Characterization, environmental impact, and reduction strategies for the delivery food waste generated by urban and township residents in Jiuquan, China
- Year: 2024
- Authors: Sun, C., Zhang, H.

Research on the relationship between carbon performance and financial performance of electric power enterprises under the background of “dual carbon”
- Year: 2024
- Authors: He, J., Huang, Z., Fan, X., Zhao, Y., Zhang, C.

The impact of environmental regulation on regional economic growth: A case study of the Yangtze River Economic Belt, China
- Year: 2023
- Authors: He, J., Huang, Z., Fan, X., Zhou, R., Song, M.

Material identification and heavy metal characteristics of plastic packaging bags used in Chinese express delivery
- Year: 2023
- Authors: Jiang, Y., Song, G., Zhang, H.

Characteristics of Soil Organic Carbon in Croplands and Affecting Factors in Hubei Province
- Year: 2022
- Authors: Miao, J., Xie, T., Han, S., Song, M., He, L.

Quantification of the carbon emission of urban residential buildings: The case of the Greater Bay Area cities in China
- Year: 2022
- Authors: Geng, J., Wang, J., Huang, J., Duan, H., Zhang, W.

Food delivery waste in Wuhan, China: Patterns, drivers, and implications
- Year: 2022
- Authors: Zhang, H., Xue, L., Jiang, Y., Wei, D., Liu, G.

Emergency management of medical wastewater in hospitals specializing in infectious diseases: A case study of Huoshenshan Hospital, Wuhan, China
- Year: 2022
- Authors: He, J.-J., Zhao, S.-S., Zhang, H., Li, Q., Fu, W.-X.

Low-carbon pathways for the booming express delivery sector in China
- Year: 2021
- Authors: Kang, P., Song, G., Xu, M., Zhong, R., Duan, H

Gomera Biyazn | Quantum Optics | Young Scientist Award

Published on 10/12/2024 by Young Scientists Awards

Mr. Gomera Biyazn | Quantum Optics | Young Scientist Award

Gomera Biyazn Dems, born on March 14, 1994, is a dedicated researcher and educator in quantum optics. He holds a BSc in Physics from Debre Markose University and an MSc in Quantum Optics Physics from Hawassa University with a CGPA of 3.53. Currently, he is a PhD candidate at Hawassa University, maintaining an impressive CGPA of 4.00. With over five years of teaching and research experience at Kebri Dehar University, he has presented seminars on advanced topics in quantum systems and authored notable publications in reputed journals. His expertise includes MATLAB, LaTeX, and scientific research writing, focusing on atomic and optical properties of lasers with squeezed light.

Profile

🎓 Education

BSc: Physics, Debre Markose University, Ethiopia. MSc: Quantum Optics Physics, Hawassa University (CGPA: 3.53). PhD: Quantum Optics Physics (Ongoing), Hawassa University (CGPA: 4.00). Postgraduate Diploma: Physics, Hawassa University.

💼 Experience

Lecturer & Researcher: Served at Kebri Dehar University for 5 years, teaching and conducting research in the Department of Physics. PhD Candidate: Currently pursuing doctoral studies at Hawassa University, contributing to quantum optics research. Department Council Member: Played an active role in academic decision-making at Kebri Dehar University.

🏆 Awards and Honors

Published in journals like Results in Physics (2024) and American Science and Publishing Group (2021). Presented seminars on topics like squeezed vacuum reservoirs and coherent light superposition. Recognized for research on the atomic properties of three-level lasers coupled with squeezed light.

🔬 Research Focus

Dissertation: Investigates the atomic and optical properties of V-type three-level lasers with squeezed light. Seminars: Presented on quantum systems including atomic properties of lasers and light superposition. Publications: Explored topics like Rabi frequency effects and squeezed vacuum reservoirs in laser systems.

🏆Conclusion

Gomera Biyazn Dems is a dedicated and promising researcher whose work in quantum optics and laser physics positions him as an outstanding candidate for the Research for Young Scientist Award. His strong academic performance, research contributions, and teaching experience make him a valuable asset to the scientific community. By continuing to build on his strengths and addressing areas for improvement, Gomera is well on his way to making significant contributions to his field and achieving greater recognition in the global research community.

📚Publications

Lambda-type Three-Level Laser Coupled to Squeezed Vacuum Reservoir
Year: 2019
Authors: T. Teshome, G. Biyazn, M. Getahun
Type: MSc Thesis, Hawassa University

Effects of Rabi Frequency and Initial State on V-Type Three-Level Atom in Cavity
Year: 2024
Authors: G. Biyazn, M. Getahun
Journal: Results in Physics 64, 107899

V-Type Three-Level Laser Coupled to Squeezed Vacuum Reservoir
Year: 2021
Authors: B.G.G. Misrak
Journal: American Journal of Optics 10 (1), 9

V-Type Three-Level Laser Coupled to Squeezed Vacuum Reservoir
Year: 2019
Authors: G. Biyazn
Type: Hawassa University

omkar kulkarni | Mechanical | Young Scientist Award

Published on 10/12/202410/12/2024 by Young Scientists Awards

Dr. omkar kulkarni | Mechanical | Best Researcher Award

Dr. Vishwanath Karad MIT World Peace University, India

Dr. Omkar Kamalakant Kulkarni is a dedicated educator and researcher in Mechanical Engineering, specializing in micro-forming and manufacturing optimization. He currently serves at Dr. Vishwanath Karad MIT World Peace University, Pune, with over a decade of academic experience. A recipient of prestigious awards like the Young Engineers Award, Dr. Kulkarni focuses on leveraging computational intelligence to enhance manufacturing processes. His expertise spans advanced material processing, CNC programming, and design optimization, underpinned by a strong foundation in mechanical engineering. Passionate about teaching and research, he actively contributes to both academia and industry innovation.

Profile

🎓 Education

Ph.D.: Mechanical Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, 2023. M.E.: CAD/CAM Engineering, Zeal College of Engineering, Pune (SPPU), 2015, CGPA: 8.45. B.E.: Mechanical Engineering, Dhole Patil College of Engineering, Pune, 2013, 66.33%. Diploma: Mechanical Engineering, BVJNIOT, Pune, 2009, 72.83%. SSC: Muktangan English School, Pune, 2006, 65%.

💼 Experience

Assistant Professor, Dr. Vishwanath Karad MIT World Peace University, Pune (2020–Present). Lecturer, Maharashtra Institute of Technology, Pune (2017–2020). Faculty, Zeal College of Engineering & Research, Pune (2013–2017). Over 10 years of academic experience focused on teaching advanced mechanical concepts, guiding projects, and engaging in research collaborations.

🏆 Awards and Honors

Young Engineers Award, IEI Kolkata, 2023 (National). IMTEX Metal Forming Certificate, IMTEX 2022 (National). 2nd Rank in University, Savitribai Phule Pune University, 2015 (State). Recognized for excellence in teaching, research, and technical innovation in mechanical engineering.

🔬 Research Focus

Micro-Forming: Investigations into bio-materials and precision forming. Optimization: Springback minimization in deep drawing using Cohort Intelligence Algorithm. CNC Programming: Process planning and automation using MastercamX5. Specializes in leveraging computational tools to advance manufacturing efficiency and material properties.

🏆Conclusion

Dr. Kulkarni’s dedication to advancing mechanical engineering through innovative research and optimization techniques makes him a strong contender for the Research for Young Scientist Award. By addressing areas of improvement and continuing to build on his impressive foundation, he can further cement his position as a leading researcher in his field. His academic contributions, technical expertise, and commitment to education and innovation clearly align with the spirit of the award.

📚Publications

Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
Year: 2017
Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni

Constrained Cohort Intelligence Using Static and Dynamic Penalty Function Approach for Mechanical Components Design
Year: 2018
Authors: O. Kulkarni, N. Kulkarni, A.J. Kulkarni, G. Kakandikar

Process Parameter Optimization in WEDM by Grey Wolf Optimizer
Year: 2018
Authors: O. Kulkarni, S. Kulkarni

An Insight Review on Jellyfish Optimization Algorithm and Its Application in Engineering
Year: 2022
Authors: A. Khare, G.M. Kakandikar, O.K. Kulkarni

Experimental and Numerical Investigations on Forming Limit Curves in Micro Forming
Year: 2022
Authors: G. Patel, K. Ganesh M., O. Kulkarni

Optimising Fracture in Automotive Tail Cap by Firefly Algorithm
Year: 2020
Authors: G.M. Kakandikar, O. Kulkarni, S. Patekar, T. Bhoskar

Parameter Optimization of AISI 316 Austenitic Stainless Steel for Surface Roughness by Grasshopper Optimization Algorithm
Year: 2021
Authors: S. Jawade, O.K. Kulkarni, G.M. Kakandikar

Process Parameters Optimization by Bat Inspired Algorithm of CNC Turning on EN8 Steel for Prediction of Surface Roughness
Year: 2021
Authors: C.G. Burande, O.K. Kulkarni, S. Jawade, G.M. Kakandikar

Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
Year: 2020
Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni, V.M. Nandedkar

Development of a Multi-Objective Salp Swarm Algorithm for Benchmark Functions and Real-World Problems
Year: 2019
Authors: S.P. Mhatugade, G.M. Kakandikar, O.K. Kulkarni, V.M. Nandedkar

Anbuchandran S | Electrical Engineering | Best Researcher Award

Published on 09/12/202409/12/2024 by Young Scientists Awards

Prof. Dr. Anbuchandran S | Electrical Engineering | Best Researcher Award

Associate Professor at Chennai Institute of Technology, India

S. Anbu Chandran is a dedicated academician with over 19 years of teaching experience in Electrical and Electronics Engineering. He specializes in optimizing power systems using cutting-edge algorithms like Fuzzified Firefly Optimization. Anbu Chandran completed his Ph.D. at Anna University in 2022 and has contributed significantly to distributed generation and microgrid research. With an extensive list of publications and professional affiliations, he actively mentors students while coordinating institutional accreditations and placement programs.

Profile

🎓 Education

Ph.D. (Electrical Engineering): Anna University, Chennai (2022) Thesis: Fuzzified firefly algorithm for optimal sizing and location of distributed generators.. M.E. (Power Systems Engineering): Arulmigu Kalasalingam College of Engineering, Anna University (2004), 67%. B.E. (Electrical and Electronics Engineering): Arulmigu Kalasalingam College of Engineering, Madurai Kamaraj University (2001), 67.4%.

💼 Experience

Teaching: 19 years in engineering colleges, focusing on power systems and optimization. Project: Designed a muzzle velocity measurement coil at Bharat Electronics Limited, Bangalore. Major Roles: NAAC/NBA Coordinator, Placement Coordinator, NCC Magazine Editor, Student Counselor.

🏆 Awards and Honors

Excellence in Peer Reviewing by BP International, London. Reviewer for top journals including Springer, IOP, and SAGE. Life Memberships: ISTE and IAENG. Recognized for outstanding research contributions with a Scopus h-index of 4.

🔬 Research Focus

Distributed generation optimization and microgrid systems. Fuzzified Firefly and Multi-objective algorithms for power systems. Renewable energy integration and smart grid enhancements. Hybrid power systems and energy efficiency techniques.

Conclusion

Dr. S. Anbu Chandran’s exceptional academic journey, extensive teaching career, and robust research portfolio make him a deserving candidate for the Best Researcher Award. His consistent efforts to advance the field of electrical engineering, combined with his dedication to academic and professional growth, reflect his commitment to excellence and innovation. Recognizing his work with this award would further motivate him to achieve new heights in research and knowledge dissemination.

📚Publications

DC Microgrid for EV Charging Station with EV Control by Using STSM Controllers
Year: 2024
Authors: Anbuchandran, S., Babu, M.A., Stephen, D.S., Thinakaran, M.

MIWO Based MPPT of PV System for Induction Motor Driven Water Pumping System
Year: 2024
Authors: Anbuchandran, S., Stephen, D.S., Babu, M.A., Bhuvanesh, A.

Multi-objective Optimal Distributed Generators Integration Using Firefly Algorithm with Fuzzy Decision Making
Year: 2024
Authors: Anbuchandran, S., Kalarathi, M., Suresh, S., Bhuvanesh, A.

A Hybrid Optimization for Distributed Generation and D-STATCOM Placement in Radial Distribution Network: A Multi-faceted Evaluation
Year: 2024
Authors: Anbuchandran, S., Arumuga Babu, M., Silas Stephen, D., Thinakaran, M.

Enhancing Grid Voltage Stability and Reliability by Harnessing Off-grid Power Sources with Multi-objective Fuzzy Spark Firefly Optimization Algorithm
Year: 2024
Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

Optimal Sizing of Hybrid Power System Using Genetic Algorithm Based Partial Reinforcement Optimizer
Year: 2024
Authors: Anbuchandran, S., Mano Raja Paul, M., Karthik Prabhu, D., Bhuvanesh, A., Jones Raj, S.

Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization
Year: 2024
Authors: Anbuchandran, S., Christa, S.T.J., Kannan, S., Bhuvanesh, A.

Enhancing Grid Resilience and Efficiency with Distributed Generators Through Fuzzified Firefly Optimization
Year: 2024
Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm
Year: 2022
Authors: Anbuchandran, S., Rengaraj, R., Bhuvanesh, A., Karuppasamypandiyan, M.

Srijan Acharya | Molecular Pharmacology | Excellence in Research

Published on 09/12/2024 by Young Scientists Awards

Dr. Srijan Acharya | Molecular Pharmacology | Excellence in Research

Dr at St. Jude Children’s Research Hospital, United States

Srijan Acharya is a dedicated scientist with expertise in molecular pharmacology and cancer genomics. He is currently a Post-Doctoral Research Fellow at St. Jude Children’s Research Hospital, focusing on childhood cancer research. With 32 published scientific articles and a total citation count of over 385, his work has contributed significantly to biomarker discovery, receptor pharmacology, and immuno-oncology. His research aims to address therapeutic resistance in pediatric malignancies through small molecule screening. Srijan is fluent in English, Bangla, and Hindi, with basic knowledge of Korean.

Profile

🎓 Education

PhD in Molecular Pharmacology from Chonnam National University, South Korea (2020). M.Sc. in Biotechnology from North South University, Bangladesh (2015). BPHRM in Pharmacy from East West University, Bangladesh (2012). His academic journey has provided a strong foundation in receptor pharmacology and molecular biology, guiding his transition into cancer research.

💼 Experience

Post-Doctoral Research Fellow, Pharmacy Department, St. Jude Children’s Research Hospital, USA (2023-Present). Post-Doctoral Research Fellow, Pathology Department, Mitchell Cancer Institute, USA (2020-2023). Executive Officer, Research and Development, Square Pharmaceutical PLC, Bangladesh (2012-2013). His experience spans academia and industry, with a focus on cancer research, receptor signaling, and small molecule screening.

🏆 Awards and Honors

Inducted into Sigma Xi, The Scientific Research Honor Society (2023). Recognized in Who’s Who in America by Marquis (2023). Young Investigator Award at AACR conference by AAISCR (2022). Best Presenter Award from China Pharmaceutical University (2021). Global Scholarship from Chonnam National University, Korea (2015). These accolades reflect his significant contributions to molecular pharmacology and cancer research.

🔬 Research Focus

Srijan’s research primarily investigates the role of molecular signaling in cancer, focusing on the interaction of nicotine receptors with GPCRs and their impact on cancer progression. At St. Jude, his work focuses on childhood cancers, particularly Ewing sarcoma and rhabdomyosarcoma. He uses small molecule screening to discover potential therapeutic agents and aims to overcome therapeutic resistance in pediatric cancers.

Conclusion

Srijan Acharya is a highly accomplished and promising researcher whose contributions to cancer pharmacology and molecular biology are noteworthy. His interdisciplinary research approach, combined with his dedication to advancing pediatric oncology, positions him as a leader in the field. With continued mentorship and broader collaborative efforts, Acharya is well poised for even greater achievements, further solidifying his place as an influential scientist in the biomedical community.

📚Publications

Title: Unveiling the intracellular dynamics of α4β2 nAChR-mediated ERK activation through the interplay of arrestin, Gβγ, and PKCβII
Year: 2024
Authors: Dooti K, Acharya S, Wang S, Kim K.M.

Title: Biphasic transcriptional and posttranscriptional regulation of MYB by androgen signaling mediates its growth control in prostate cancer
Year: 2023
Authors: Acharya S, Anand S, Khan MA, Zubair H, Srivastava SK, Singh S, Singh AP

Title: MYB exhibits racially disparate expression, clinicopathologic association, and predictive potential for biochemical recurrence in prostate cancer
Year: 2023
Authors: Md Khan, S Acharya, S Anand, F Sameeta, P Pramanik, C Keel, S Singh, James E Carter, S Dasgupta, A Singh

Title: Comparative study of the molecular mechanisms underlying the G protein and β-arrestin-dependent pathways that lead to ERKs activation upon stimulation by dopamine D2 receptor
Year: 2023
Authors: Liu H, Acharya S, Sudan SK, Hu L, Wu C, Cao Y, Li H, Zhang X

Title: Frequent loss of cacna1c, a calcium voltage-gated channel subunit is associated with lung adenocarcinoma progression and poor prognosis
Year: 2023
Authors: Dasgupta, S., Acharya, S., Khan, M. A., Pramanik, P., Marbut, S. M., Yunus, F., Galeas, J. N., Singh, S., Singh, A. P., and Dasgupta, S.

Title: Nicotine causes alternative polarization of macrophages via Src-mediated STAT3 activation: Potential pathobiological implications
Year: 2022
Authors: Acharya S, Saranyutanon S, Deshmukh SK, Khan MA, Singh S, Singh AP

Title: β-Arrestin1 and GRK2 play permissive roles in Src-mediated endocytosis of α4β2 nicotinic acetylcholine receptor
Year: 2021
Authors: Acharya S, Kundu D, Kim KM

Title: Roles of the Functional Interaction between Brain Cholinergic and Dopaminergic Systems in the Pathogenesis and Treatment of Schizophrenia and Parkinson’s Disease
Year: 2021
Authors: Acharya S, Kim KM

Title: Clinicopathologic significance and race-specific prognostic association of MYB overexpression in ovarian cancer
Year: 2021
Authors: Miree, O., Srivastava, …Acharya S.et al.

Title: Metabotropic signaling cascade involved in α4β2 nicotinic acetylcholine receptor-mediated PKCβII activation
Year: 2020
Authors: Acharya S, D. Kundu, H.J. Choi, and K.M. Kim

Title: Catalpol and Mannitol, Two Components of Rehmannia glutinosa, Exhibit Anticonvulsant Effects Probably via GABAA Receptor Regulation
Year: 2019
Authors: Acharya S, Kim M., Botanas C. J., Custodio R. J., Lee H. J., Sayson L. V., Kim H. J.

Title: Design, synthesis and in vitro activity of 1,4-disubstituted piperazines and piperidines as triple reuptake inhibitors
Year: 2017
Authors: Paudel S, Acharya S, Yoon G, Kim K.M., & Cheon S.H.

Abdulrahman Alojail |Information Systems | Best Researcher Award

Published on 09/12/202409/12/2024 by Young Scientists Awards

Assist. Prof. Dr. Abdulrahman Alojail |Information Systems | Best Researcher Award

Assistant Professor at King Faisal University Saudi, Arabia

Abdulrahman Alojail, from Al Ahsa, Saudi Arabia, is an academic specializing in Information Systems. With a strong focus on enhancing his skills, he leverages his academic background and professional experience to contribute effectively to both education and the industry. He is currently an Assistant Professor at King Faisal University, where he also leads the Alumni Committee. With a career spanning over a decade, Abdulrahman has consistently demonstrated a passion for education, research, and professional development. He has also worked as an Application Development Analyst at Saudi Electricity Company, showcasing his practical IT expertise.

Profile

🎓 Education

Abdulrahman completed his Bachelor of Computer Information Systems at King Faisal University, Saudi Arabia (2010). He later earned a Master of Science in Information Systems from Central Michigan University, USA (2016). Furthering his academic journey, he obtained a PhD in Business Information Systems from RMIT University, Australia (2023). His educational background reflects a deep commitment to mastering IT and business systems, positioning him as an expert in the field.

💼 Experience

Abdulrahman’s professional experience spans academia and industry. He served as a Lecturer at King Faisal University from 2011 to 2023, where he taught undergraduate courses in Information Systems and contributed to curriculum development. Since 2023, he has been an Assistant Professor, focusing on alumni relations and creating opportunities for graduates. Prior to his academic career, he worked as an Application Development Analyst at Saudi Electricity Company (2010-2011), where he was responsible for developing and optimizing database applications and maintaining server structures.

🏆 Awards and Honors

Abdulrahman has received numerous accolades, including Ethical Leadership and Money Management Certificates from Central Michigan University (2015). He also completed a Project Management course (2019) in line with PMI’s PMBOK standards. His expertise in digital transformation earned him certifications in Agile Management and Digital Transformation Project Management (2022). He received recognition for his academic research with the publication of his work in the Mathematics journal, MDPI (2024).

🔬 Research Focus

Abdulrahman’s research interests include the application of deep learning in enhancing sentiment classification and consistency analysis, particularly in customer reviews. His work also explores digital transformation, business information systems, and the use of data analysis tools like Python for informed decision-making. His PhD research focused on the development of innovative technologies to improve system performance and efficiency in business contexts. He is passionate about the intersection of technology and business practices, aiming to bridge gaps in both fields.

💡 Skills

Abdulrahman is proficient in communication, SQL, MS Access, System Development Methodologies (DFD, ERD, Use Case), Microsoft Power BI, and Python programming. He possesses strong teamwork and collaboration skills, along with a passion for lifelong learning and public speaking. His academic experience and industry background allow him to engage effectively in both teaching and practical application of business information systems.

🌟 Conclusion

Abdulrahman Alojail is an exceptional candidate for the Best Researcher Award due to his impressive academic credentials, impactful research, and professional expertise. His ability to merge academic theory with industry practice, along with his ongoing commitment to professional development, makes him a valuable asset to the field of Information Systems. With continued growth in interdisciplinary research and emerging technologies, Alojail is poised to make significant contributions to both academia and industry in the years to come.

📚Publications

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews

Author: Dr. Abdulrahman Alojail
Journal: Mathematics
Date of Publication: December 7, 2024
Type: Journal article
Focus: The paper presents a hybrid deep learning approach aimed at improving sentiment classification and analyzing the consistency of customer reviews.
Contributors: Dr. Abdulrahman Alojail

Mohammad Hashim| Developmental Psychology | Young Scientist Award

Published on 09/12/2024 by Young Scientists Awards

Mr. Mohammad Hashim| Developmental Psychology | Young Scientist Award

Independent researcher at Jamia Millia Islamia, New Delhi India

Mohammad Hashim is a Clinical Applied Psychology graduate from Jamia Millia Islamia, New Delhi, with extensive research experience in psychological assessments and data analysis. He has worked as a Research Assistant at Naved Iqbal Lab, publishing systematic reviews and meta-analyses, and collaborated globally on traumatic stress research. His clinical experience includes working at Counsel India and conducting individual psychotherapy sessions. Mohammad’s research contributions are recognized in multiple international conferences and publications, with expertise in mental health, data analysis, and systematic reviews. He is passionate about advancing psychological research and is currently pursuing various teaching and research roles in the psychology field.

Profile

🎓 Education

Master of Arts in Applied Psychology (Clinical) Jamia Millia Islamia, New Delhi (2020-2022) | GPA: 3.52/4. Bachelor of Arts in Psychology Aligarh Muslim University, Aligarh (2020) | GPA: 3.12/4. Relevant Courses: Structural Equation Modelling (Udemy), R: A Hands-on Guide (Jamia Millia Islamia)

💼 Experience

Research Assistant, Naved Iqbal Lab, Jamia Millia Islamia (2020-2024)

Published systematic reviews and meta-analyses, collaborated on cross-cultural investigations, and presented at conferences. Performed data collection, cleaning, and statistical analysis using R, SPSS, and Jamovi. Research Associate, Write-Ignite (2020-2022) Analyzed statistical data, wrote research blogs, and supported clients with research formulation. Clinical Intern, Counsel India (2020-2022) Administered clinical phone interviews and contributed to data collection and report writing.

🏆 Awards and Honors

Best Paper Presentation Award (2022) Mental Health and COVID-19: Challenges and Future Prospects, International Conference, Aligarh Muslim University. UGC-NET Qualified (2022)
Eligibility for Assistant Professor in India. First Rank (2020) Entrance Examination for M.A. in Psychology, Aligarh Muslim University.

🔬 Research Focus

Mental health, depression, anxiety, and their interactions with affective states and traumatic events. Systematic reviews, meta-analyses, and statistical analysis (moderation, mediation, SEM). AI and statistical tools for psychological research, data cleaning, and manuscript writing. Exploring moral foundations, parenting styles, and cultural variations in psychological constructs.

🌟Conclusion

Mohammad Hashim is an outstanding candidate for the Young Scientist Award, thanks to his strong research skills, significant contributions to the field of psychology, and a clear potential for future breakthroughs in mental health and clinical research. His impressive academic and professional achievements demonstrate his readiness for leadership roles in scientific research. With continued growth in interdisciplinary collaborations and the adoption of more advanced methodologies, Hashim has the potential to make lasting contributions to psychology and related fields.

Publications 📚

1. Social Media Use and Well-Being: A Systematic Review and Meta-Analysis

Authors: Ansari, S., Iqbal, N., Asif, R., Farooqi, S.R., Alimoradi, Z.
Journal: Cyberpsychology, Behavior, and Social Networking
Year: 2024
Volume: 27(10), Pages 704–719
Citations: 0
Type: Review

2. Association of Childhood Emotional Maltreatment with Adolescents’ Psychopathology: A Systematic Review and Meta-Analysis

Authors: Hashim, M., Alimoradi, Z., Pakpour, A., Asif, R., Iqbal, N.
Journal: Trauma, Violence, and Abuse
Year: 2024
Volume: 25(4), Pages 2986–3004
Citations: 2
Type: Review

3. Association of Childhood Sexual Abuse with Adolescents’ Psychopathology: A Systematic Review and Meta-Analysis

Authors: Hashim, M., Iqbal, N., Halligan, S., Galán, C.A., Vostanis, P.
Journal: Trauma, Violence, and Abuse
Year: 2024
Citations: 0
Type: Article in Press

4. Prevalence of Social Anxiety During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Authors: Hashim, M., Osmany, M., Alimoradi, Z., Dar, K.A., Iqbal, N.
Journal: Current Psychology
Year: 2024
Citations: 0
Type: Article in Press

Chao Jiang| Fluid Mechanics | Best Researcher Award

Published on 09/12/202409/12/2024 by Young Scientists Awards

Dr. Chao Jiang| Fluid Mechanics | Best Researcher Award

Postdoc at Peking University, China.

Chao Jiang is an Assistant Professor at Southern University of Science and Technology, specializing in fluid mechanics, turbulence modeling, and AI-enhanced scientific computations. He has made pioneering contributions to aerodynamic bionics, including discovering wake anomalies in bluff bodies and the phase transition in wavy cylinder dynamics. His research integrates machine learning with physics to advance turbulence modeling and computational methods. With expertise in symmetry-based AI, he has revolutionized scalar and tensor modeling in neural networks. Chao holds a Ph.D. in Engineering Mechanics from Harbin Institute of Technology and has served as an AI Engineer at TenFong Central Research Institute.

Profile

🎓 Education

B.Sc. in Civil Engineering (2010-2014) Harbin Institute of Technology. M.Sc. in Engineering Mechanics (2014-2017) Harbin Institute of Technology. Ph.D. in Engineering Mechanics (2017-2023) Harbin Institute of Technology | Research: Turbulence modeling and AI-enhanced flow control

🧑‍🏫 Experience

Assistant Professor Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology. Conducted advanced research in aerodynamic bionics and flow control. AI Engineer TenFong Central Research Institute. Applied AI to scientific computation and engineering systems.

🏆 Awards and Honors

First discovery of wake anomalies in bio-inspired bluff bodies. Reported the phase transition phenomenon in wavy cylinder dynamics. Developed symmetry-based deep learning for tensor modeling. Achieved breakthroughs in turbulence modeling using AI and physics integration.

🔬 Research Focus

Data-driven turbulence modeling and AI-enhanced computations. Mathematics and physics of machine learning with symmetry-based AI. Aerodynamic bionics: wake dynamics and flow control mechanisms. Multiscale computational modeling integrating data and physics paradigms.

🌟 Conclusion

Chao Jiang is a distinguished candidate for the Best Researcher Award due to his innovative achievements in turbulence modeling, AI-driven scientific computation, and aerodynamic bionics. His groundbreaking discoveries and high-impact publications establish him as a leader in his field. By extending his global collaborations and emphasizing real-world applications, Chao could elevate his already impressive academic and professional profile to even greater heights.

Publication

1. Velocity Phase-Transitions in the Wake of a Wavy Cylinder at Low Reynolds Numbers

Journal: Ocean Engineering
Date: January 2025
DOI: 10.1016/j.oceaneng.2024.119828
Authors: Yefei Yang, Chao Jiang, Hui Li

2. An Interpretable Framework of Data-Driven Turbulence Modeling Using Deep Neural Networks

Journal: Physics of Fluids
Date: May 2021
DOI: 10.1063/5.0048909
Authors: Chao Jiang, Ricardo Vinuesa, Ruilin Chen, Junyi Mi, Shujin Laima, Hui Li

3. A Novel Algebraic Stress Model with Machine-Learning-Assisted Parameterization

Journal: Energies
Date: January 2020
DOI: 10.3390/en13010258
Authors: Chao Jiang, Junyi Mi, Shujin Laima, Hui Li

4. A Numerical Investigation of Reynolds Number Sensitivity of Flow Characteristics Around a Twin-Box Girder

Journal: Journal of Wind Engineering and Industrial Aerodynamics
Date: January 2018
DOI: 10.1016/j.jweia.2017.11.016
Authors: Chao Jiang

Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

Published on 09/12/202409/12/2024 by Young Scientists Awards

Mr. Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

Mr at Shahid beheshti university Iran

Nastaran Mehrabi Hashjin is a researcher and engineer with a background in control and electronic engineering. She specializes in AI, medical imaging, and brain-computer interfaces. With a focus on diagnosing Alzheimer’s disease and optimizing AI algorithms, she has published multiple articles in top-tier journals. Nastaran has also contributed to UAV monitoring and fault detection in power systems. A member of Iran’s National Elite Foundation, she actively engages in research on neural networks, optimization algorithms, and advanced medical data processing. She is proficient in programming, circuit design, and VLSI systems, showcasing her technical acumen.

Profile