Author: scizentox scizentox

Ashish Kumar Prasad, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Ashish Kumar Prasad, Mathematics, Best Researcher Award

Assoc. Prof Ashish Kumar Prasad: Associate Professor at Amity University, Jharkhand, India

Dr. Ashish Kumar Prasad is a distinguished mathematician and researcher with over 10 years of experience in teaching and scholarly research. He specializes in optimization theory, fractional programming, and variational problems, contributing significantly to both theoretical advancements and practical applications. Currently an Associate Professor at Amity University, Ranchi, he previously served as Dean of Science at Netaji Subhas University. Dr. Prasad holds a Ph.D. from IIT ISM Dhanbad and is known for his commitment to academic excellence and mentoring young researchers.

Online Profiles

ORCID Profile

Dr. Prasad actively maintains professional profiles on academic networking platforms such as Google Scholar and ResearchGate, where his extensive publication record is available for the global scientific community. Through these channels, he engages with fellow researchers, shares ongoing research findings, and participates in discussions related to nonlinear analysis and optimization. Additionally, he regularly attends and presents at national and international conferences, fostering collaborations and knowledge exchange.

Education

Dr. Prasad’s academic journey began with a B.Sc. degree from Ranchi University, followed by an M.Sc. from Vinoba Bhave University. He then advanced his specialization by earning an M.Phil. and a Ph.D. from the prestigious IIT ISM Dhanbad. His doctoral research laid the groundwork for his expertise in interval-valued optimization and fractional programming, equipping him with rigorous training in advanced mathematical tools and research methodologies.

Research Focus

His primary research interests encompass optimality conditions and duality theories for interval-valued and fractional vector optimization problems. Dr. Prasad explores the frontiers of nonsmooth and multiobjective optimization, addressing complex variational and fractional problems with practical relevance in engineering and operational research. His work often integrates advanced mathematical modeling with computational techniques, aiming to solve real-world optimization challenges.

Experience

Over a decade, Dr. Prasad has accumulated extensive experience in academia, teaching courses at undergraduate and postgraduate levels, supervising M.Sc. and Ph.D. students, and coordinating research projects. His academic appointments include significant tenures at institutions such as VIT Vellore, Presidency University, and NIT Jamshedpur. Beyond teaching, he has served in administrative roles including Dean of Science, where he contributed to curriculum development and institutional governance.

Research Timeline

Beginning with his doctoral studies in 2010, Dr. Prasad’s research output has steadily grown, with influential papers published in top-tier SCI, SCIE, and Scopus-indexed journals from 2013 onward. His early work focused on fractional programming and convexity concepts, progressively evolving to include interval-valued optimization and advanced duality theories. His research timeline reflects a consistent dedication to expanding the theoretical foundations and practical applications of mathematical optimization.

Awards & Honors

Dr. Prasad’s academic leadership is exemplified by mentoring distinguished students such as Anant Pratap Singh, a gold medalist and DST Inspire Fellow. His research has been recognized through publications in high-impact journals and invitations to deliver talks at international conferences. These accomplishments underscore his standing in the mathematics research community and his contributions to advancing optimization theory.

Top-Noted Publication

Among his numerous publications, the paper “Optimality conditions for an interval-valued vector problem,” published in Kybernetika (2025), is highly regarded. This work offers novel insights into interval-valued optimization and establishes foundational results that have influenced subsequent studies in the field. The paper’s publication in an SCI-indexed journal with an impact factor of 0.9 highlights its scholarly significance and Dr. Prasad’s expertise in this niche area of mathematical research.

  • Title: 𝓔-LU-optimal solution for nonsmooth semi-infinite interval-valued problems
    Journal: OPSEARCH
    Date: 2025-07-07
    DOI: 10.1007/s12597-025-00971-5
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: 𝓔-LU-pareto solutions for semi-infinite programs with multiple intervals
    Journal: OPSEARCH
    Date: 2025-02-04
    DOI: 10.1007/s12597-025-00917-x
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Exact L₁ penalty function for nonsmooth multiobjective interval-valued problems
    Journal: Kybernetika
    Date: 2024
    DOI: 10.14736/kyb-2024-5-0652
    EID: 2-s2.0-85215557895
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Optimality and duality for interval-valued vector problems
    Journal: Filomat
    Date: 2024
    DOI: 10.2298/FIL2426091K
    EID: 2-s2.0-85214260698
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Duality for a fractional variational formulation using η-approximated method
    Journal: Kybernetika
    Date: 2023
    DOI: 10.14736/kyb-2023-5-0700
    EID: 2-s2.0-85178487225
    Contributors: Sony Khatri, Ashish Kumar Prasad

Vagish Dwibedi, Agriculture, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Vagish Dwibedi, Agriculture, Best Researcher Award

Doctorate Vagish Dwibedi: Assistant Professor at Chandigarh University, India

Dr. Vagish Dwibedi is a dedicated Assistant Professor at Chandigarh University, Mohali, with over nine years of extensive research and teaching experience in biotechnology. His interdisciplinary work bridges agriculture, pharmaceuticals, and microbial biotechnology, focusing on innovative solutions for plant health, sustainable agriculture, and drug discovery. He has made significant contributions through research, patents, and publications that impact both academic and industrial sectors.

Online Profiles

ORCID Profile

  • Total Citations: 919 (Recent: 912)

  • h-index: 18

  • i10-index: 24

Dr. Dwibedi actively engages with the global scientific community via multiple professional platforms such as LinkedIn, Google Scholar, ResearchGate, and ORCID. These profiles showcase his diverse research portfolio, collaborations, publications, and patents, allowing him to stay connected and visible in the rapidly evolving fields of biotechnology and agricultural sciences.

Education

Dr. Dwibedi earned his Ph.D. in Biotechnology from Thapar University and NIPER Mohali in 2020, where he specialized in isolating and optimizing resveratrol production from endophytic fungi. Following this, he completed a postdoctoral fellowship (2023-2024) at the prestigious Volcani Centre in Israel, focusing on drought-tolerant rhizobacteria for improving wheat resilience. His foundational education includes an M.Sc. in Biotechnology from Amity University and a B.Sc. in Zoology, Botany, and Chemistry from Lucknow University, underscoring a strong multidisciplinary academic background.

Research Focus

His research centers on understanding and harnessing plant-microbe interactions to improve crop productivity and stress tolerance, particularly under water-limited conditions. Dr. Dwibedi explores microbial communication, bioactive compound discovery, and microbial fermentation to develop sustainable agricultural practices and novel therapeutics. His work also extends to drug discovery targeting neurodegenerative and metabolic disorders using advanced analytical methods like HPLC, GC-MS, and fermentation technology.

Experience

Dr. Dwibedi’s career spans roles from research assistantships to faculty positions, including research scientist and postdoctoral fellowships. He has served as Assistant Professor at Chandigarh University since 2020 and recently resumed this role after his postdoctoral tenure in Israel. His experience combines teaching, student mentorship, research project leadership, patent development, and innovation in biotechnology with a focus on translating laboratory research into practical applications.

Research Timeline

  • 2013–2014: Research Assistant, Delhi University South Campus, BCIL (DBT)

  • 2015–2018: Junior Research Fellow, Thapar Institute of Engineering & Technology

  • 2018–2019: Research Fellow, Thapar Institute of Engineering & Technology

  • 2019: Research Scientist, AGPHARM BIOINNOVATIONS LLP, Patiala

  • 2020–2022: Assistant Professor, Chandigarh University

  • 2023–2024: Postdoctoral Research Fellow, Volcani Centre, Israel

  • 2024–Present: Assistant Professor, Chandigarh University

Awards & Honors

Among his accolades, Dr. Dwibedi won the highly competitive DST-Lockheed Martin-Tata Trust India Innovation Growth Programme (IIGP) 2.0 competition for developing a bio-based packing material to preserve fruits and vegetables post-harvest. He also earned the Best Poster Award at the International Conference on Drug Discovery: Biotech and Pharma at TIET, Patiala. His innovative work is further validated by multiple published and filed Indian patents in the fields of biotechnology and bio-based materials.

Top-Noted Publication

One of Dr. Dwibedi’s notable recent publications is “Identification of Natural Compounds as Potential COVID-19 Main Protease (Mpro) Inhibitors: A comprehensive study and In-silico evidence” (2025, Current Pharmaceutical Design, IF=2.8). This study highlights his expertise in natural product drug discovery and computational biology, contributing to the global fight against viral diseases by identifying promising natural inhibitors against COVID-19 targets.

  • Exploring the Modern Approaches to Enhance Fungal Endophyte-Derived Bioactive Secondary Metabolites

    • 3 Biotech (June 2025)

    • DOI: 10.1007/s13205-025-04328-z

    • Contributors: Palakjot Kour Sodhi, Tanveer Kour, Gursharan Kaur, Vijay Gahlaut, Santosh Kumar Rath, Vagish Dwibedi, Mahavir Joshi

  • Isolation, Screening, and Identification of Staphylococcus epidermidis with Effective Probiotic Attributes

    • Current Microbiology (June 2025)

    • DOI: 10.1007/s00284-025-04206-0

    • Contributors: Sonia Sharma, Nazim Uddin, Gurleen Kaur Sodhi, Abdurahman Hajinur Hirad, Nancy George, Gursharan Kaur, Swapnil Kajale, Rajinder Kaur, Jagdish Chandra Bose, Vagish Dwibedi

  • Nanocarriers and Nano Drug Delivery Therapy in Neuro Diseases

    • Book Chapter, 2024

    • DOI: 10.1007/978-981-97-0308-1_10

    • Contributors: Palak Rana, Gursharan Kaur, Aleena James Chirayimmel, Anupama Rajput, Santosh Kumar Rath, Vagish Dwibedi

  • Nanomaterials for Diagnosis and Treatment of Common Neurological Disorders

    • Book Chapter, 2024

    • DOI: 10.1007/978-981-97-0308-1_8

    • Contributors: Gursharan Kaur, Aleena James Chirayimmel, Palak Rana, Sonia Sharma, Jagadeesh Chandra Bose, Santosh Kumar Rath, Vagish Dwibedi

  • Stilbenes: a Journey from Folklore to Pharmaceutical Innovation

    • Archives of Microbiology (May 2024)

    • DOI: 10.1007/s00203-024-03939-z

    • Contributors: Gursharan Kaur, Rajinder Kaur, Gurleen Kaur Sodhi, Nancy George, Santosh Kumar Rath, Harleen Kaur Walia, Vagish Dwibedi, Sanjai Saxena

  • Process Optimization of Antimicrobial Activity of Adhatoda vasica Against MDR Pathogens Using Response Surface Methodology

    • Proceedings of the National Academy of Sciences, India Section B: Biological Sciences (Feb 2024)

    • DOI: 10.1007/s40011-023-01504-0

    • Contributors: Mahavir Joshi, Vagish Dwibedi, Santosh Kumar Rath, Tulika Mishra, Sukhminderjit Kaur

SenthilPandian M, Engineering, Young Innovators Award

Posted on by scizentox scizentoxLeave a Comment on SenthilPandian M, Engineering, Young Innovators Award

Doctorate SenthilPandian M: Assistant Professor (Sr) at Vellore Institute of Technology Chennai, India

Dr. M. Senthil Pandian is a seasoned structural engineer and academician with over 16 years of professional experience, including 12 years in teaching and research and 4 years in structural design consultancy. Currently an Assistant Professor (Senior Grade II) at Vellore Institute of Technology (VIT), Chennai, he has made significant contributions to the fields of structural analysis, composite structures, and construction technology. His work is characterized by a strong interdisciplinary approach, integrating traditional civil engineering practices with modern computational methods, smart materials, and electronics in construction applications. Known for his commitment to both academic excellence and practical innovation, Dr. Senthil Pandian has mentored numerous postgraduate students and has actively contributed to the academic and infrastructural growth of VIT.

Online Profiles

Dr. Senthil Pandian maintains active academic profiles across key research databases and platforms. His ORCID 0000-0003-0261-8616 captures a unified record of his scholarly output. His Scopus Author ID 57205443018 tracks his contributions to peer-reviewed journals indexed in Scopus. On Google Scholar (Scholar Profile), his citations reflect the impact of his work across civil engineering, materials science, and interdisciplinary research fields. These platforms collectively showcase his expertise in structural engineering, smart infrastructure systems, and construction material innovations.

Education

Dr. Senthil Pandian holds a Ph.D. in Structural Engineering from Vellore Institute of Technology (VIT), Chennai, awarded in 2020 for his research on cold-formed steel connections and moment-resisting joints. He completed his M.E. in Structural Engineering from VLB Janakiammal College of Engineering & Technology, Coimbatore, in 2010, where he developed a strong foundation in advanced concrete and steel design. His academic journey began with a B.E. in Civil and Structural Engineering from Annamalai University in 2006. His solid academic background has played a pivotal role in shaping his research and teaching philosophy, focused on practical applications and innovative design solutions.

Research Focus

Dr. Senthil Pandian’s research encompasses a wide range of interests within structural engineering, with a strong emphasis on composite and cold-formed steel structures, finite element analysis, and seismic performance of irregular buildings. He has expanded his focus to deep learning applications in structural diagnostics, and the use of stretchable electronics and reconfigurable antennas in construction monitoring. His interdisciplinary work integrates civil engineering with electronics, particularly in RF antenna design for formwork and infrastructure health monitoring. His goal is to bridge emerging technologies with traditional engineering to develop intelligent, sustainable, and adaptive structures.

Experience

With a blend of academic and industry experience, Dr. Senthil Pandian brings a holistic perspective to civil engineering. He joined VIT Chennai in 2012 and has since played key academic roles including IQAC Coordinator, School Lab In-Charge, and postgraduate research supervisor. Before entering academia, he worked with Consulting Engineering Services (I) Pvt. Ltd., New Delhi, where he was involved in high-profile projects such as the Commonwealth Games stadiums, Panipat Elevated Corridor, and IISER Campus Thiruvananthapuram. His responsibilities spanned structural design (steel trusses and RCC), retrofitting assessments, tender documentation, and feasibility studies for national and international transit systems, including the Nairobi MRTS and Chennai-Trivandrum High-Speed Rail project.

Research Timeline

Dr. Senthil Pandian’s research journey began during his postgraduate studies and intensified with his doctoral work on extended end-plate connections in cold-formed steel. From 2014 onward, he has guided approximately 50 M.Tech and 30 B.Tech projects, and currently supervises 4 Ph.D. scholars working on themes such as smart structural systems, robotic inspection devices, and machine learning applications in civil engineering. His publications span journals indexed in Scopus, SCI, and IEEE, and reflect a steady evolution from core structural mechanics to emerging technologies. Through collaboration with interdisciplinary teams, he continues to expand his research to align with the latest developments in construction innovation.

Awards & Honors

Throughout his career, Dr. Senthil Pandian has been recognized for his dedication to institutional development and research contributions. He is a Lifetime Member of the Institute for Steel Development and Growth (INSDAG) and has held several leadership roles at VIT including Concrete & Structural Lab In-Charge, Civitek Club Coordinator, and TechnoVIT Event Coordinator. He has received multiple appreciations internally for establishing advanced laboratory facilities, integrating technology into civil education, and coordinating industry-academic initiatives. His role as IQAC Coordinator further highlights his commitment to academic quality and strategic institutional growth.

Top-Noted Publication

One of Dr. Senthil Pandian’s most distinguished works is the 2023 article in Soft Computing, titled “An intelligent prediction system for predicting the types of joints on extended endplate long bolted joint using fuzzy rules.” This paper highlights his pioneering effort in applying fuzzy logic and AI to structural joint prediction, improving the accuracy and efficiency of connection classification in steel structures. The research not only addresses practical design challenges but also opens new pathways for integrating computational intelligence in civil engineering design practices. This publication exemplifies his interdisciplinary approach and has received attention for its novelty and relevance in smart structural systems.

  • Enhancing Impact Resistance of Concrete Slabs
    Advances in Science and Technology Research Journal, Aug 2025
    DOI: 10.12913/22998624/204679
    Contributors: Hemanth Kumar Anbu, Udhayanithi P., Karthikeyan Kothandapani, M. Senthilpandian

  • Trash to Treasure: A Review on Integrating Nanomaterial and Industrial Waste for Sustainable Electromagnetic Interference Shielding Composites
    Advances in Science and Technology Research Journal, Apr 2025
    DOI: 10.12913/22998624/200108
    Contributors: G. Loganathan, M. Senthilpandian

  • Utilisation of Solid Waste Polyurethane Foam as Coarse Aggregate in Concrete: An Experimental Study with Ecological and Cost Assessment
    Journal of Material Cycles and Waste Management, Jan 2025
    DOI: 10.1007/s10163-024-02106-2
    Contributors: R. Rooban Kumar, M. Senthilpandian

  • A Review of Utilization of Waste Polyurethane Foam as Lightweight Aggregate in Concrete
    Heliyon, Dec 2024
    DOI: 10.1016/j.heliyon.2024.e40479
    Contributors: R. Roobankumar, M. Senthilpandian

Strength for the Young Innovators Award – Highlighted Topics

  • Synergistic Effects of Graphene Oxide, Steel Wire Mesh and Fibers on the Impact Resistance of Preplaced Aggregate Concrete
    Journal of Building Engineering, Oct 2024
    DOI: 10.1016/j.jobe.2024.110363
    Contributors: G. Murali, K. Karthikeyan, M. Senthilpandian, Leong Sing Wong, Sallal R. Abid, A. Hemanth Kumar

  • Sustainable Concrete Innovation Using Industrial Waste
    Recognized for developing concrete incorporating solid waste polyurethane foam and nanomaterials, offering enhanced mechanical performance and ecological sustainability.
    Citation: Rooban Kumar, R., & Senthilpandian, M. (2025). Utilisation of solid waste polyurethane foam as coarse aggregate in concrete. Journal of Material Cycles and Waste Management. https://doi.org/10.1007/s10163-024-02106-2.

  • AI-Driven Structural Joint Prediction Models
    Awarded for pioneering the application of fuzzy logic and machine learning in predicting extended end-plate joint behavior in steel structures, enabling automation and precision in structural design.
    Citation: Senthilpandian, M., Santhi, M.H., et al. (2023). An intelligent prediction system for predicting the types of joints on extended endplate long bolted joint using fuzzy rules. Soft Computing. https://doi.org/10.1007/s00500-023-08561-z.

  • Smart Infrastructure with Embedded Electronics and Antennas
    Recognized for integrating stretchable electronics and microstrip antennas into concrete structures for structural health monitoring and real-time diagnostics in construction environments.
    Citation: Nivethika, S.D., & Senthilpandian, M. (2022). Microstrip patch antenna for aluminium formwork applications in construction. IC3IoT Proceedings.

  • Mentorship and Capacity Building in Civil Engineering Research
    Acknowledged for mentoring over 50 M.Tech and 30 B.Tech students and guiding Ph.D. research in smart materials, robotics, and computational mechanics, significantly advancing postgraduate research at VIT.

  • Structural Resilience and Impact-Resistant Design
    Honored for his contributions to improving the impact resistance of concrete slabs through material optimization and hybrid reinforcement strategies, enhancing safety and durability in civil infrastructure.
    Citation: Hemanth Kumar Anbu, U., Karthikeyan, K., & Senthilpandian, M. (2025). Enhancing Impact Resistance of Concrete Slabs. Advances in Science and Technology Research Journal. https://doi.org/10.12913/22998624/204679.

Zefeng Lin, Medicine, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Zefeng Lin, Medicine, Best Researcher Award

Assoc. Prof Zefeng Lin: Associate Professor at Department of Pediatric Surgery, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, China

Zefeng Lin, MD, PhD, is a pediatric surgeon and translational clinical researcher affiliated with the Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease. With dual expertise in surgical intervention and immunological research, he has become a leading figure in pediatric surgical oncology and congenital malformations. His work has significantly advanced the understanding of neonatal biliary atresia, rare thoracic tumors such as pleuropulmonary blastoma and neuroblastoma, and tracheal lesions. He has spearheaded groundbreaking immunotherapy trials and built preclinical models that have set new standards in pediatric disease modeling and translational applications.

Online Profiles

  • ORCID: 0000-0001-7532-9175

  • Dr. Lin maintains professional visibility through academic networks and institutional platforms. His ORCID profile includes his major publications and collaborations. Additional profiles may be available via Guangzhou Medical University and Chinese clinical research networks.

Education

Dr. Lin earned his MD and PhD degrees in Pediatric Surgery from Guangzhou Medical University, where he also completed his clinical training. His doctoral work laid the foundation for his long-term focus on congenital hepatobiliary disorders. He later pursued advanced fellowship training in minimally invasive surgical innovation and translational immunology, equipping him to bridge the gap between molecular research and surgical care.

Research Focus

Dr. Lin’s research encompasses the immune pathogenesis of biliary atresia, genetic susceptibility in structural birth defects, and targeted therapies for pediatric thoracic malignancies. Using state-of-the-art single-cell RNA sequencing, organoid technology, and gene knockout mouse models, his team has uncovered novel T/B cell crosstalk mechanisms and CX3CR1+ CD8+ T cell dysfunction in BA. His work has not only identified IL10, STAT3, and CD14 as key BA-associated genes but also proposed new immune-modulating therapies that are already being tested in clinical trials.

Experience

Dr. Lin serves as Principal Investigator for multiple national and municipal research grants, including a Youth Program from the National Natural Science Foundation of China (NSFC, 2021–2024). His clinical leadership includes managing over 100 complex pediatric surgical cases involving congenital airway abnormalities, rare esophageal conditions, and oncologic resections. He has collaborated on more than 20 major provincial and national research projects, contributing expertise in both translational biology and pediatric surgery, and is recognized for integrating multidisciplinary methods across immunology, genetics, and surgical care.

Research Timeline

Beginning in 2017 with early genetic studies on biliary atresia, Dr. Lin’s research has followed a trajectory of rapid development. In 2018, he created the first chronic mouse model of BA and identified key genetic markers via GWAS. By 2020, his work was featured in CELL, marking a major international milestone. Since then, he has moved into clinical translation, launching trials for anti-CD20 therapy and NAC for BA, supported by national and municipal funding from 2021 to 2024. He continues to lead integrated preclinical-clinical pipelines for rare pediatric conditions.

Awards & Honors

Dr. Lin was honored with the Excellent Poster Award and Most Popular Speaker Award at the 2024 China Rare Disease Congress, recognizing both his scientific innovation and public engagement. He has been an invited speaker at high-level international events, including the 13th Asian Congress of Pediatrics in Hong Kong (2017) and the Nature Women & Children’s Health Symposium in Guangzhou (2018). His achievements reflect not only scientific rigor but also a growing reputation as a thought leader in rare pediatric disease research.

Top-Noted Publication

“Liver Immune Profiling Reveals Pathogenesis and Therapeutics for Biliary Atresia” – CELL, 2020
As Co-First Author, Dr. Lin contributed to the first pediatric surgery study from China published in CELL, one of the world’s top scientific journals. The study used single-cell sequencing to demonstrate a B cell–mediated mechanism of liver damage in neonatal BA. These findings were translated into clinical practice through Rituximab-based immunotherapy trials, which showed improved immune balance and outcomes in BA patients, making this publication a landmark in pediatric hepatology and translational medicine.

Title: Silver Nanoparticle Treatment Ameliorates Biliary Atresia Syndrome in Rhesus Rotavirus Inoculated Mice
Journal: Nanomedicine: Nanotechnology, Biology and Medicine
Year: 2017
DOI: 10.1016/j.nano.2016.11.013
Author: Zefeng Lin (and collaborators)

Abstract Summary

This study explores the potential therapeutic effects of silver nanoparticles (AgNPs) on biliary atresia (BA) syndrome, a rare and life-threatening pediatric liver disease, in a rhesus rotavirus (RRV)-induced mouse model. The research investigates how AgNPs might counteract the pathophysiological changes associated with BA, including biliary obstruction, liver fibrosis, and immune dysregulation, using a well-established animal model mimicking human disease. The study demonstrates that AgNP treatment significantly ameliorates symptoms of BA, including liver injury and inflammation, and provides evidence of immune system modulation. By targeting both the inflammatory and fibrotic components of the disease, AgNPs offer a promising therapeutic approach for BA.

Key Findings and Implications

  • Effectiveness of AgNPs in Modulating Immune Response: The study found that silver nanoparticles exert a beneficial effect on immune system regulation in the mouse model of BA. Specifically, the nanoparticles were shown to suppress the activation of inflammatory markers and modulate immune responses, particularly those related to liver injury and fibrosis.

  • Histopathological and Molecular Evidence: Histological analysis demonstrated a reduction in liver fibrosis and bile duct injury in AgNP-treated mice compared to untreated controls. The molecular mechanisms underlying these effects were explored through gene expression profiling, highlighting the nanoparticles’ ability to downregulate key pro-inflammatory cytokines and fibrotic pathways.

  • Safety and Potential for Clinical Translation: While AgNPs showed therapeutic promise, the study also assessed the safety profile of these nanoparticles. The results indicate that they are well-tolerated in the experimental model, though further studies are needed to confirm the long-term safety and efficacy in clinical settings.

Surendra Solanki, Computer Science, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Surendra Solanki, Computer Science, Best Researcher Award

Doctorate Surendra Solanki: Assistant Professor at Manipal University jaipur, Jaipur, Rajasthan, India

Dr. Surendra Solanki is a passionate academician and data science researcher with extensive experience in artificial intelligence, machine learning, and wireless communication systems. His academic journey is marked by a Ph.D. in Computer Science and Engineering from NIT Bhopal, where his research focused on deep learning-based spectrum sensing for cognitive radio networks. He has hands-on expertise in deep learning frameworks like TensorFlow and PyTorch, along with proficiency in Python, R, and MATLAB. With a multidisciplinary outlook, he actively explores large language models, federated learning, blockchain integration in AI systems, and generative models for vision and NLP tasks. Dr. Solanki combines teaching, research, and practical implementation to address complex real-world problems and empower future technologists.

Online Profiles

Scopus Profile

  • 108 citations from 93 documents, and 15 scanned items

  • An h-index of 4

Education

Dr. Solanki earned his Ph.D. in Computer Science and Engineering from the prestigious Maulana Azad National Institute of Technology (MANIT), Bhopal, where he conducted deep learning-based research on spectrum sensing techniques in cognitive radio systems from 2018 to 2024. He completed his M.Tech. in Computer Science and Engineering from the same institution in 2017 with a CGPA of 7.90; his thesis involved secure data hiding using image steganography. He holds a B.E. degree in Information Technology from the Institute of Engineering and Technology, Devi Ahilya Vishwavidyalaya (DAVV), Indore, graduating in 2012 with 69% marks. His strong academic foundation has enabled him to bridge theory with emerging technologies effectively.

Research Focus

Dr. Solanki’s research interests lie at the intersection of deep learning, wireless networks, and privacy-preserving artificial intelligence. His doctoral research contributed to improved performance in cognitive radio networks through the use of CNNs, RNNs, and hybrid DL architectures. More recently, he has worked extensively with large language models such as BERT, GPT, LLaMA, and Falcon for natural language processing, medical diagnostics, and multi-modal AI systems. His ongoing research explores explainable AI using Grad-CAM and LIME, federated learning for secure health data analytics, AI-driven malware detection, and generative AI for synthetic data creation and model interpretability.

Experience

Dr. Solanki is currently employed as an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at Manipal University Jaipur, where he teaches undergraduate and postgraduate courses, supervises student research, and develops AI-focused curriculum (2023–Present). Previously, he served as a Senior Faculty in IT at SAGE University Indore (through iNurture Education Solutions) from 2022 to 2023, where he taught advanced machine learning and deep learning subjects. Earlier in his career, he worked as an Assistant Manager in eGovernance for the Government of Madhya Pradesh (2014–2015), contributing to digital infrastructure development. His roles have balanced academic instruction, administrative leadership, and applied research.

Research Timeline

Between 2018 and 2024, Dr. Solanki conducted his doctoral research at MANIT Bhopal on deep learning architectures for cognitive radio, resulting in significant publications in IEEE Access and Springer. In 2020, he expanded into blockchain-integrated AI and device authentication systems for smart grids, leading to co-authored IEEE conference papers. From 2021 onward, his research embraced interdisciplinary domains like federated learning in healthcare, Android malware detection using graph neural networks, and self-supervised models for chest X-ray diagnosis. The timeline from 2023 to 2025 shows his contributions in LLM applications, multimodal AI, and knowledge distillation techniques for resource-efficient models in healthcare and audio processing.

Awards & Honors

Dr. Solanki has earned several accolades throughout his academic and professional career. He has authored more than 18 papers in high-impact journals indexed in SCI and Scopus, including Q1 journals such as IEEE Access and Scientific Reports. His innovations have led to the successful filing and publication of 6 patents in AI, Blockchain, and IoT domains. He has received multiple invitations to review for reputed journals and serve as a speaker at IEEE international conferences. His contributions in federated learning, modulation recognition, and AI for healthcare have been appreciated by both academic and industry collaborators, marking him as a notable emerging researcher in applied AI.

Top-Noted Publication

One of Dr. Solanki’s top-recognized publications is titled “A deep ensemble learning approach for squamous cell classification in cervical cancer”, published in Scientific Reports (Nature Portfolio, Q1 Journal) in 2025. This paper proposes a robust ensemble model leveraging deep CNNs and transformers to enhance the accuracy of cervical cancer cell classification, showcasing significant improvements over traditional ML approaches. The work stands out for its clinical relevance, explainability, and technical depth, contributing to the field of AI in medical diagnostics. The publication has attracted significant citations and collaborative interest from researchers working in computational pathology. [DOI: https://doi.org/10.1038/s41598-025-91786-3]

Yadvendra Singh, Engineering, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Yadvendra Singh, Engineering, Best Researcher Award

Doctorate Yadvendra Singh: Post Doctoral Fellow at Oregon State University, Corvallis, Oregon, USA

Dr. Yadvendra Singh is an accomplished optical sensing specialist currently working as a Postdoctoral Fellow at the School of Electrical Engineering and Computer Science, Oregon State University, USA. With over a decade of experience in academia and research, Dr. Singh has built a strong portfolio in the field of optical fiber sensors, plasmonics, and nanophotonics. His work combines advanced theoretical modeling with hands-on experimental implementation, targeting real-world applications such as toxic chemical detection, food quality monitoring, and biosensing. His international exposure across premier Indian institutions and U.S. universities has enriched his technical competencies and collaborative research outlook. He is recognized for his meticulous sensor design using COMSOL Multiphysics and his innovative approach to integrating fiber optics with emerging plasmonic materials.

Online Profiles

Google Scholar Profile

Dr. Singh has contributed significantly to the field of optical sensing, as evidenced by his growing scholarly impact. As of now, he has accumulated over 1,050 citations, with an h-index of 17 and an i10-index of 22, reflecting both the depth and consistency of his research contributions. His work has been cited by researchers across domains such as nanophotonics, optical sensor development, and biosensing. His successful participation in high-impact projects funded by BRNS-DAE and CSIR-India, along with competitive postdoctoral appointments at prestigious institutions like IIT Roorkee, Boise State University, and Oregon State University, further underscores the recognition and value of his scientific contributions in both national and international research communities.

Education

Dr. Singh received his Ph.D. in Electronics Engineering from the Indian Institute of Technology (ISM), Dhanbad in 2021, with a focus on enhancing the performance of fiber Bragg gratings (FBG) and surface plasmon resonance (SPR)-based sensors. His doctoral work, supervised by Prof. Sanjeev Kumar Raghuwanshi, was both theoretical and experimental and included the design, simulation, and characterization of novel optical sensors. He holds a Master of Engineering in Electronic Instrumentation and Control from Thapar University (2011–2013), where he explored electromyography signal analysis using LabVIEW. His undergraduate studies were completed with a B.Tech in Electronics and Communication Engineering from U.P. Technical University in 2009. His academic foundation is further strengthened by his early schooling under the U.P. Board in India.

Research Focus

Dr. Singh’s primary research domains include optical fiber sensors, fiber optic plasmonic and Bragg grating-based configurations, nanophotonic integration, biosensor design, and sensor modeling using COMSOL Multiphysics. He is particularly interested in the development of compact, deployable sensors that utilize plasmonic effects to detect minute refractive index changes for chemical and biological analytes. His work bridges theory and experiment by designing complex sensor architectures using simulation tools such as the Wave Optics, Ray Optics, and AC/DC Modules in COMSOL, and fabricating devices for practical sensing environments. He also has a growing interest in label-free biosensing technologies, evanescent wave interactions, and sensor integration for biomedical and food safety applications.

Experience

Dr. Singh is currently a postdoctoral fellow at Oregon State University, where he is involved in advanced optical sensing and device prototyping. Prior to this, he held postdoctoral research positions at Boise State University (2022) and IIT Roorkee (2021–2022), where he contributed to the development of nanophotonic sensing platforms. His academic journey includes serving as a Teaching Assistant at IIT (ISM) Dhanbad from 2016 to 2021, where he mentored students and supported lab-based teaching while pursuing his Ph.D. Before entering research, he worked as an Assistant Professor at B.T. Kumaon Institute of Technology (2013–2016), an autonomous government college in Uttarakhand. His career began as a trainee at the Dynamic Institute of Automation and Control, where he gained foundational experience in instrumentation and industrial control systems.

Research Timeline

Dr. Singh’s research trajectory reflects a strong interdisciplinary evolution. He began his journey in biomedical instrumentation during his M.E. by working on EMG signal classification. This transitioned into photonics and sensor research during his Ph.D., where he explored fiber Bragg grating modifications and SPR-based configurations for precision sensing. Between 2016 and 2021, his work gained momentum through two major government-funded projects on chemical detection and food adulteration sensors. After completing his doctorate, he moved into postdoctoral roles where he broadened his research into integrated nanophotonics, device fabrication, and computational modeling. His progression from teaching and prototyping in India to cutting-edge sensor development in the United States illustrates his adaptability and research maturity.

Awards & Honors

Dr. Singh’s research was supported by competitive funding from premier agencies such as the Board of Research in Nuclear Sciences (BRNS-DAE) and the Council of Scientific and Industrial Research (CSIR), India. These grants are awarded to select high-impact projects and indicate his credibility as a lead researcher. Although specific personal awards are not explicitly mentioned, his postdoctoral appointments at IIT Roorkee, Boise State University, and Oregon State University reflect merit-based selection and recognition in the research community. His work continues to contribute to strategic sectors including chemical safety, biomedical diagnostics, and food quality assurance.

Top-Noted Publication

Among Dr. Singh’s notable research outputs is the development of a field-deployable fiber Bragg grating sensor for the detection of hazardous toxic chemicals, under a BRNS-DAE-funded initiative. This work integrates nanostructured materials and fiber optics for real-time monitoring applications and exemplifies innovation in harsh-environment sensing. He has also contributed to CSIR-funded research on thin-film evanescent field sensors for food adulteration analysis. His publications reflect a careful balance between numerical simulation and real-world implementation, targeting sensor performance enhancement, sensitivity optimization, and scalability.

  • Surface plasmon biosensor based on Bi₂Te₃ antimonene heterostructure for the detection of cancer cells
    A. Uniyal, B. Chauhan, A. Pal, Y. Singh
    Applied Optics, 61(13), 3711–3719 (2022)
    Citations: 71
    DOI: 10.1364/AO.449682

  • Theoretical analysis of the LRSPR sensor with enhanced FOM for low refractive index detection using MXene and fluorinated graphene
    P. S. Pandey, Y. Singh, S. K. Raghuwanshi
    IEEE Sensors Journal, 21(21), 23979–23986 (2021)
    Citations: 69
    DOI: 10.1109/JSEN.2021.3105834

  • Titanium dioxide (TiO₂) coated optical fiber-based SPR sensor in near-infrared region with bimetallic structure for enhanced sensitivity
    Y. Singh, S. K. Raghuwanshi
    Optik, 226, 165842 (2021)
    Citations: 63
    DOI: 10.1016/j.ijleo.2020.165842

  • Sensitivity enhancement of surface plasmon resonance biosensor with 2D franckeite nanosheets
    B. Karki, S. Sharma, Y. Singh, A. Pal
    Plasmonics, 17(1), 71–78 (2022)
    Citations: 52
    DOI: 10.1007/s11468-021-01470-w

  • Surface plasmon resonance biosensor sensitivity improvement employing 2D materials and BaTiO₃ with bimetallic layers of silver
    A. Uniyal, A. Pal, G. Srivastava, M. M. Rana, S. A. Taya, A. Sharma, B. R. Altahan, Y. Singh, et al.
    Journal of Materials Science: Materials in Electronics, 34(6), 466 (2023)
    Citations: 46
    DOI: 10.1007/s10854-023-10534-1

ISABEL Martinez-Pena y Valenzuela, Neuroscience, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on ISABEL Martinez-Pena y Valenzuela, Neuroscience, Best Researcher Award

Dr. Isabel Martinez-Peña y Valenzuela: Assistant Professor at Midwestern University, United States

Dr. Isabel Martinez-Peña y Valenzuela is an accomplished neuroscientist with extensive expertise in the molecular and cellular biology of synapses, particularly at the neuromuscular junction (NMJ). She is currently an Assistant Professor in the Physiology Department at Midwestern University’s College of Graduate Studies and College of Dental Medicine. Her career spans over two decades, including significant contributions at institutions such as the University of Michigan and University of La Laguna, Spain. She is widely recognized for her mentorship of students, impactful research on synaptic pathology in metabolic and neurodegenerative diseases, and dedication to both teaching and academic service.

Online Profiles

Google Scholar Profile

As of July 2025, Dr. Martinez-Peña y Valenzuela has accumulated 673 citations overall, with 285 citations since 2020. Her h-index is 16 (10 since 2020), and her i10-index is 19 (11 since 2020), reflecting both the quality and continued relevance of her contributions to the field of neuroscience and neuromuscular biology.

Dr. Martinez-Peña maintains active academic profiles showcasing her publications and collaborations. Her Google Scholar profile reflects a robust citation record in synaptic biology and neuroscience, while her NCBI MyBibliography includes a comprehensive list of peer-reviewed journal articles, conference proceedings, and reviews. These profiles highlight her long-standing research productivity and the translational impact of her studies in neuromuscular function and dysfunction.

Education

She earned her Ph.D. in Neuroscience from the University of La Laguna (ULL), Spain, with a thesis titled “Alterations of the cerebrospinal fluid proteins and subcommissural organ secretion in arterial hypertension and ventricular dilatation: A study in SHR rats.” Her doctoral research laid the foundation for her lifelong interest in cerebrospinal physiology and brain-body communication. Dr. Martinez-Peña also holds a Bachelor of Science in Molecular and Cellular Biology from ULL’s Faculty of Biology, equipping her with interdisciplinary training in physiology, pathology, and molecular medicine.

Research Focus

Her research program explores the structure and function of the neuromuscular synapse under both physiological and pathological conditions. Using transgenic mouse models and in vivo imaging, her lab investigates how obesity, Parkinson’s disease, cancer-induced cachexia, and sleep apnea contribute to synaptic disassembly, impaired neurotransmission, and muscle dysfunction. Dr. Martinez-Peña also studies the role of specific proteins such as acetylcholinesterase, α-dystrobrevin, and α-syntrophin in maintaining synaptic integrity, with the ultimate goal of identifying therapeutic targets for neuromuscular disorders.

Experience

Dr. Martinez-Peña has held a range of academic and research positions in Spain and the United States. She began as an Anatomy Instructor at ULL (1998–2002), followed by postdoctoral training in gastrointestinal and developmental neuroscience at the University of Michigan (2003–2008). From 2009 to 2020, she was a Research Investigator at Michigan’s Department of Molecular, Cellular, and Developmental Biology, where she led independent and collaborative studies on synaptic biology. She later served as a Visiting Assistant Professor at Kalamazoo College (2020–2022), where she taught physiology and mentored undergraduate research. Since 2022, she has been a full-time faculty member at Midwestern University.

Research Timeline

Dr. Martinez-Peña’s research journey began in Spain with studies on the cerebrospinal system and neuroendocrine regulation. In the early 2000s, she transitioned to the University of Michigan, conducting postdoctoral work on neuromuscular physiology. By 2009, she had established herself as an independent investigator, contributing extensively to the fields of synaptic maintenance and neurodegeneration.

Awards & Honors

She has received multiple recognitions for her academic excellence and research mentorship, including the Doctorate Summa Cum Laude from the University of La Laguna and the Cajal Club Fellowship in Madrid (2001). She was honored with the Most Valuable Professor award by Kalamazoo College’s intercollegiate athletics program in 2022 and was selected as a finalist in the 2024 American Medical Association Research Challenge. Additionally, her students have won regional research presentation awards, highlighting her impact as both a scientist and mentor.

Top-Noted Publication

One of Dr. Martinez-Peña’s most influential publications is her 2022 study in Human Molecular Genetics, titled “Distinct roles of the dystrophin-glycoprotein complex: α-dystrobrevin and α-syntrophin in the maintenance of the postsynaptic apparatus of the neuromuscular synapse.” This paper elucidates the molecular mechanisms regulating NMJ stability and offers insights into therapeutic strategies for neuromuscular disorders. It has been widely cited and reflects her leading role in bridging basic and translational neuroscience.
DOI: 10.1093/HMG/ddac041

Dr. Martinez-Peña y Valenzuela’s most impactful research has significantly advanced understanding of the neuromuscular junction, with several landmark studies cited widely in the field of neuroscience and molecular biology:

  1. Schmidt N, Akaaboune M, Gajendran N, Martinez-Pena y Valenzuela I, et al. (2011).
    “Neuregulin/ErbB regulate neuromuscular junction development by phosphorylation of α-dystrobrevin.”
    Journal of Cell Biology, 195(7):1171–1184.
    This foundational paper, cited 122 times, describes the molecular signaling mechanisms involving Neuregulin/ErbB and α-dystrobrevin in NMJ development.
    Link

  2. Herranz-Martin S, Chandran J, Lewis K, Martinez-Pena y Valenzuela I, et al. (2017).
    “Viral delivery of C9orf72 hexanucleotide repeat expansions in mice leads to repeat-length-dependent neuropathology and behavioural deficits.”
    Disease Models & Mechanisms, 10(7):859–868.
    Cited 59 times, this study provides insights into C9orf72-mediated ALS and FTD pathology using a mouse model.
    Link

  3. Krejci E, Martinez-Pena y Valenzuela I, Ameziane R, Akaaboune M. (2006).
    “Acetylcholinesterase dynamics at the neuromuscular junction of live animals.”
    Journal of Biological Chemistry, 281(15):10347–10354.
    This work, cited 46 times, explores real-time regulation of AChE at the NMJ, contributing to understanding of synaptic maintenance.
    Link

  4. Martinez-Pena y Valenzuela I, Pires-Oliveira M, Akaaboune M. (2013).
    “PKC and PKA regulate AChR dynamics at the neuromuscular junction of living mice.”
    PLoS ONE, 8(11):e81311.
    Cited 44 times, this study reveals how key kinases modulate receptor turnover and synaptic plasticity in vivo.
    Link

  5. Martinez-Pena y Valenzuela I, Mouslim C, Akaaboune M. (2010).
    “Calcium/calmodulin kinase II-dependent acetylcholine receptor cycling at the mammalian neuromuscular junction in vivo.”
    Journal of Neuroscience, 30(37):12455–12465.
    Also cited 44 times, this article details the role of CaMKII in receptor recycling, providing mechanistic insights into NMJ regulation.
    Link

Fatma Akalın, Computer Science, AI Innovation Award

Posted on by scizentox scizentoxLeave a Comment on Fatma Akalın, Computer Science, AI Innovation Award

Asst. Prof Fatma Akalın: Assistant Professor at Sakarya University, Turkey

Fatma Akalın is an accomplished Assistant Professor in the Department of Computer Engineering at Sakarya University, specializing in the intersection of artificial intelligence, machine learning, and biomedical engineering. Her research is driven by a deep interest in applying AI algorithms to solve complex challenges in healthcare, particularly for disease diagnosis and personalized medicine. With expertise in data science, bioinformatics, and medical imaging, she has made significant strides in automating processes such as genomic sequence classification, anomaly detection in blood cell images, and the development of AI-driven decision support systems. Dr. Akalın’s commitment to advancing research in healthcare technology positions her as a thought leader in both academic and applied AI communities.

Online Profiles

Google Scholar Profile

Citations, h-index, i10-index

  • Citations: Dr. Akalın’s research has accumulated a total of 66 citations across various academic publications, with 61 citations in the last 5 years, reflecting the growing influence and relevance of her work in the field.

  • h-index: With an h-index of 5, Dr. Akalın has made significant contributions, with at least 5 of her publications being cited at least 5 times each. This indicates a solid body of impactful research in her areas of expertise.

  • i10-index: Dr. Akalın holds an i10-index of 1, meaning she has one publication that has been cited 10 times or more, further highlighting the recognition her work has received in the academic community

Dr. Akalın maintains an active and influential presence across multiple online academic platforms. Her publications are widely cited in leading international journals, and she regularly contributes to conferences in fields such as AI, bioinformatics, and computational biology. As an Assistant Editor for Sakarya University Journal of Computer and Information Sciences (SAUCIS), she has an integral role in shaping the research landscape at the university. Her collaborative projects include contributions to national research initiatives that address pressing public health concerns through the use of AI technologies. She has also developed various web-based applications aimed at enhancing healthcare outcomes, integrating both AI and clinical expertise to create innovative solutions for real-world health issues.

Education

Dr. Akalın completed her Doctoral Degree in Computer Engineering at Sakarya University in 2023, where she focused on leveraging AI algorithms for the classification of leukemia subtypes using digital mapping of DNA sequences. Her thesis, titled “Classification of Leukemia Types Using AI-Based Algorithms on DNA Sequences via Digital Mapping Techniques,” reflected her strong commitment to applying cutting-edge computational methods to solve biomedical challenges. She earned her Master’s Degree in 2020, with a thesis on the application of heuristic algorithms for detecting polyps in small intestine images. This work demonstrated her early engagement with AI in medical imaging. Her Bachelor’s Degree was also completed at Sakarya University in 2018, marking the beginning of her academic journey into computer engineering and AI.

Research Focus

Dr. Akalın’s research is deeply rooted in artificial intelligence, machine learning, and bioinformatics. Her primary focus is the integration of AI into healthcare systems, specifically in disease detection and diagnostic applications. She has worked extensively on the classification of genetic sequences, including the use of AI algorithms for identifying and predicting leukemia and other cancers. Additionally, her work includes the development of advanced diagnostic systems based on digital imaging, such as detecting anomalies in medical images like blood cell smears and endoscopic images. In recent years, she has also delved into synthetic data generation for model training, optimizing machine learning algorithms for better clinical decision-making, and exploring data-driven AI models that can adapt to the complexities of real-world clinical environments.

Experience

Dr. Akalın has held the position of Assistant Professor in the Department of Computer Engineering at Sakarya University since September 2023, where she teaches courses in artificial intelligence, web technologies, and data structures. Prior to this role, she served as a Research Assistant at the same department from 2020 to 2023, contributing to numerous research projects, guiding graduate students, and publishing in top-tier journals. During her academic career, she has mentored students on master’s theses and helped develop cutting-edge research in fields such as medical diagnostics, deep learning, and artificial intelligence. Her diverse experience spans both academic and research settings, where she has also collaborated on national-level projects related to AI-based healthcare solutions.

Research Timeline

  • 2025: Dr. Akalın is currently leading a project on the development of an AI-powered decision support chatbot aimed at optimizing sales processes within ERP systems. Additionally, she is working on a real-time system for detecting and counting blast cells in leukemia diagnosis using advanced deep learning methods.

  • 2024: She is working on the development of a web-based AI system that utilizes hybrid data sets to aid in the diagnosis of monkeypox. Additionally, she is exploring the use of AI to assess cardiac risks in adolescents based on EKG images as part of a national TUBITAK-funded project.

  • 2023: Dr. Akalın has initiated a project focused on developing AI-enhanced virtual reality simulations for secondary education, along with another project to build a web-based system to promote sustainable production and consumption in Turkey.

Awards & Honors

Dr. Akalın has been recognized for her outstanding contributions to scientific research, particularly in the application of artificial intelligence to healthcare. She was awarded the 10th İksad Scientific Award in 2019, a prestigious recognition in the field of applied science. She continues to receive recognition for her innovative research on medical diagnostics, and her work has been acknowledged by leading research institutes and journals. Her ability to bridge the gap between AI theory and practical healthcare applications has made her a sought-after researcher and collaborator in both academic and industrial circles.

Top-Noted Publication

  • “Deep Learning-Based Community Classifier Approach for Gastrointestinal Anomaly Detection,” published in Pamukkale University Engineering Journal, 2024, discusses the application of deep learning methods for gastrointestinal anomaly detection, contributing to the growing body of knowledge on AI in medical diagnostics.

  • “Classification of Exon and Intron Regions on DNA Sequences Using SBERT and ANFIS,” published in Journal of Polytechnic, 2024, presents a hybrid approach combining SBERT and ANFIS for DNA sequence classification, a significant advancement in genomic data analysis.

  • “Neural Network-Based Survival Classification in Heart Failure Patients,” published in Arabian Journal for Science and Engineering, 2024, focuses on using neural networks for predicting the survival outcomes of heart failure patients, applying AI to improve personalized treatment strategies.

  • “DNA Genomic Sequence Classification with Digital Signal Processing and EfficientNetB7,” published in Gazi University Journal, 2022, investigates the classification of DNA sequences using deep learning models, contributing to advancements in genomic medicine.

Dr. Akalın’s work continues to push the boundaries of AI in healthcare, and her publications are widely regarded as some of the most significant contributions to the field in recent years.

Strengths for the AI Innovation Award

  1. Pioneering AI Applications in Healthcare: Dr. Akalın’s work in automating disease diagnostics, such as leukemia classification from genomic data and gastrointestinal anomaly detection, showcases her groundbreaking contributions to healthcare through AI. These innovations can significantly improve patient outcomes and revolutionize diagnostic processes.

  2. Cross-Disciplinary Expertise: Dr. Akalın effectively merges AI, machine learning, bioinformatics, and medical imaging to develop advanced diagnostic systems, demonstrating her versatility and expertise in multiple disciplines, and advancing both AI and biomedical engineering.

  3. Leadership in AI-Driven Healthcare Projects: She is leading multiple impactful AI projects, including real-time leukemia detection systems and AI-enhanced decision support tools for healthcare, positioning her as a leader in AI’s practical application in medicine.

  4. Synthetic Data Innovation: Dr. Akalın is pioneering research in synthetic data generation for training AI models, addressing critical challenges in healthcare data scarcity and privacy concerns, and making AI more adaptable for clinical use.

  5. Award-Winning Research: Her contributions have earned recognition, including the 10th İksad Scientific Award, cementing her position as a leading innovator in AI for healthcare, and highlighting the significant impact of her research on both academic and real-world levels.

Hamdy Abdelsalam Elgohary, Engineering, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Hamdy Abdelsalam Elgohary, Engineering, Best Researcher Award

Professor Hamdy Abdelsalam Elgohary: Professor at Mansoura University, Egypt

 

Prof. Hamdy A. El-Gohary is a renowned Professor of Reinforced Concrete Structures with over 36 years of comprehensive experience in research, teaching, and professional consulting in structural engineering. He earned his Ph.D. from Moscow Institute of Municipal Economy and Construction in 1992 and has since established a strong academic and professional reputation through numerous international publications, conference presentations, and authored books. His expertise lies in reinforced concrete design, seismic behavior of structures, and advanced analytical methods. He has supervised many M.Sc. and Ph.D. students, contributing significantly to the development of structural engineering knowledge worldwide.

Online Profiles

ORCID Profile

Prof. El-Gohary maintains an active presence on academic platforms such as ResearchGate and Google Scholar, where his extensive research output is accessible to the global engineering community. He regularly participates in international conferences and workshops, sharing insights on seismic design and structural dynamics. His profiles highlight collaborations with researchers across Europe, the Middle East, and Russia, reflecting a robust network of scholarly and industry connections.

Education

Prof. El-Gohary completed his Ph.D. in Structural Engineering at Moscow Institute of Municipal Economy and Construction, Soviet Union, in 1992, specializing in building construction and structures. He holds a Master of Science degree in Structural Engineering from Mansoura University (1987) and a Bachelor of Science in Civil Engineering from the same institution (1982). This solid academic foundation has enabled him to integrate theoretical concepts with practical engineering applications throughout his career.

Research Focus

His research centers on the behavior and design of reinforced concrete structures subjected to seismic and lateral loads, with a focus on improving earthquake resistance and structural stability. Key areas include nonlinear stability analysis of beam-columns, dynamic response of precast and coupled shear wall systems, and empirical modeling for vibration periods and crack width control. He also investigates advanced bracing systems, slender column design, and the use of modern codes such as ACI and Saudi Building Code for optimized structural performance.

Experience

With a distinguished academic career at Umm Al-Qura University and Mansoura University, Prof. El-Gohary has been deeply involved in teaching, research, and administration. His professional experience extends to leading structural design projects at Qatar Foundation and heading consulting engineering groups. He founded the Structural Consulting and Design Center in Egypt, providing expertise to engineering firms and overseeing complex infrastructure projects, bridging the gap between academia and industry.

Research Timeline

Prof. El-Gohary began his research journey in the late 1980s, focusing on experimental and theoretical studies of precast frames and seismic response. Throughout the 1990s, he expanded his work to seismic regulation reviews and dynamic analysis of multistory frames. The 2000s saw a shift toward nonlinear analysis, bracing systems, and column behavior under eccentric compression. His recent research since 2010 has emphasized empirical formula development, crack width prediction, and structural optimization compliant with international codes, culminating in influential papers and books up to 2023.

Awards & Honors

Throughout his career, Prof. El-Gohary has been honored with multiple “Who’s Who” awards recognizing his outstanding contributions to structural engineering education and research. He is a respected member of editorial boards for several journals and a frequent peer reviewer for international conferences and publications. These accolades reflect his standing as a leading expert in earthquake-resistant design and reinforced concrete structures.

Top-Noted Publication

One of Prof. El-Gohary’s most impactful publications is “Empirical Formula for the Fundamental Period of Vibration of Multi-story RC Framed Buildings,” presented at the 2013 Vienna Congress on Recent Advances in Earthquake Engineering and Structural Dynamics. This work has significantly influenced seismic design methodologies by providing practical, validated equations for structural vibration periods, aiding engineers worldwide in improving building safety and code compliance.

A Simplified Trilinear Concrete Stress–Strain Curve: Energy-Based Modeling of Experimental Data Compliant with Various Codes

Journal of Umm Al-Qura University for Engineering and Architecture
2025-06 | Journal Article
DOI: 10.1007/s43995-025-00117-0
In this article, Prof. El-Gohary proposes a simplified trilinear stress–strain curve for concrete, developed using an energy-based modeling approach. The model is grounded on experimental data and complies with various international concrete codes. This work aims to offer more accurate predictions of concrete behavior under stress, enhancing the design and safety of structural elements.

Evaluation of the Dynamic Characteristics of Coupled Shear Wall System under Seismic Loads

Engineering, Technology & Applied Science Research (ETASR)
2025-06-01 | Journal Article
Contributors: Hamdy A. Elgohary, Hytham Alhunami, Rabeea W. Bazuhair
This study evaluates the dynamic behavior of coupled shear wall systems subjected to seismic forces. It presents a comprehensive analysis of the system’s response, incorporating conceptualization, formal analysis, and detailed investigations. The article explores the system’s structural resilience under varying seismic conditions and offers insights into improving design practices for earthquake-resistant buildings.

Refined Nonlinear Estimation of Effective Flexural Rigidity in Reinforced Concrete Beams Using Curvature Integration

Engineering, Technology & Applied Science Research (ETASR)
2025-04 | Journal Article
Prof. El-Gohary introduces a refined approach to estimating the effective flexural rigidity of reinforced concrete beams, utilizing curvature integration. This nonlinear method provides a more accurate representation of beam behavior under loading, offering a valuable tool for structural engineers designing reinforced concrete beams subjected to complex bending moments.

Refined Span-to-Depth Ratio Expressions for One-Way Slabs Aligned with ACI-318 Deflection Limits

Journal of Umm Al-Qura University for Engineering and Architecture
2025-03-07 | Journal Article
In this paper, Prof. El-Gohary presents refined expressions for the span-to-depth ratio of one-way slabs, ensuring alignment with ACI-318 deflection limits. The study focuses on improving design parameters for reinforced concrete slabs, ensuring compliance with deflection criteria while optimizing structural efficiency and safety.

Punching Shear Revised Equations for Edge Column-Slab Joints Complying with Different Current Codes

Innovative Infrastructure Solutions
2025-02-11 | Journal Article
DOI: 10.1007/s41062-024-01822-w
Contributors: Hamdy A. Elgohary, Mohamed A. El Zareef
This article revises existing equations for evaluating punching shear at edge column-slab joints. By considering compliance with multiple modern design codes, the study enhances the reliability of current methods for predicting punching shear behavior and improving structural safety in reinforced concrete buildings.

Jeferson Piccin, Materials Science, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Jeferson Piccin, Materials Science, Best Innovator Award

Prof. Dr Jeferson Piccin: Titular professor at University of Passo Fundo, Brazil

Dr. Jeferson Steffanello Piccin is a Brazilian scientist and educator, currently serving as a Full Professor at the University of Passo Fundo (UPF). His career blends academic research, teaching, innovation, and entrepreneurship, with a strong focus on sustainable technologies in the food and environmental sectors. A holder of the CNPq Research Productivity Fellowship (Level 2), he is known for advancing biotechnological and unconventional processes aimed at waste valorization and the development of bio-based products. He is also the co-founder of SemioCrop Agrobiotecnologia, where he leads R&D efforts to support sustainable agricultural practices through On-Farm bioinput production.

Online Profiles

ORCID Profile

  • UPF Homepage: www.upf.br

  • ResearchGate/Google Scholar/ORCID: (Not listed, but can be added upon request or search.)
    These profiles showcase Dr. Piccin’s academic qualifications, research projects, teaching experience, and collaborations, offering a complete overview of his contributions to engineering and environmental science.

Education

Dr. Piccin earned his Ph.D. in Chemical Engineering from the Federal University of Rio Grande do Sul (UFRGS) in 2013, under the supervision of Prof. Mariliz Gutterres Soares. He holds a Master’s in Food Engineering and Science from the Federal University of Rio Grande (FURG, 2009), focusing on adsorption and biopolymers, and completed his undergraduate studies in Food Engineering at the University of Passo Fundo (UPF, 2006). He also undertook professional and technical training in quality, safety, and experimental optimization, as well as a technical agricultural course at CAFW.

Research Focus

Dr. Piccin’s research centers on waste valorization, with particular emphasis on the use of biopolymers, adsorption technologies, and biotechnological processes to create high-value products from agro-industrial residues. His interdisciplinary work spans food science, environmental engineering, and chemical process optimization, aiming to solve real-world problems such as water contamination, sustainable agriculture, and circular economy challenges. He is a member of two strategic research groups at UPF that target innovative food production and environmental remediation.

Experience

Over the past decade, Dr. Piccin has built a robust academic and professional profile. He has held progressive teaching roles at UPF since 2011, teaching in undergraduate and postgraduate programs in food, chemical, and environmental engineering. He served as the Coordinator of the Food Engineering course (2014–2018) and was a key member in designing the Chemical Engineering curriculum. In the industry, he gained hands-on experience with Bunge Alimentos and Peccin S/A, working in process control, extraction systems, and industrial operations. He also contributes actively to faculty development, curriculum planning, and interdisciplinary education.

Research Timeline

  • 2023–Present: Coordinator of BeiCrop Lab, focused on On-Farm bioinput production to reduce Brazil’s dependence on imported agrochemicals.

  • 2022–Present: Lead investigator on the development of fungal chitosan-based adsorbents for pharmaceutical removal in aquatic systems, funded by FAPERGS and CNPq.

  • 2011–Present: Principal researcher at UPF in two research lines: food and ingredient bioprocesses, and environmental treatment technologies.

  • 2009–2013: PhD research on the application of biopolymers and adsorption in chemical and environmental engineering contexts.
    This timeline reflects continuous engagement in applied, interdisciplinary research that addresses sustainability in food and environmental sectors.

Awards & Honors

Dr. Piccin holds a Level 2 Research Productivity Fellowship from the National Council for Scientific and Technological Development (CNPq), awarded for his impactful scientific contributions. He has received competitive funding from FAPERGS, FINEP, and CNPq for projects focused on bioinput development and pharmaceutical contaminant removal. His role as a coordinator, course leader, and committee member within UPF reflects recognition for his academic leadership and institutional service. Additionally, his entrepreneurial work with SemioCrop has positioned him at the forefront of sustainable agricultural technology innovation in Brazil.

Top-Noted Publication

Among Dr. Piccin’s standout scientific outputs is his work on adsorbent composite materials using fungal-derived chitosan, which addresses the removal of pharmaceutical contaminants from water. This publication is notable for combining green chemistry, waste reuse, and environmental protection—demonstrating his strength in integrating biotechnology and process engineering. The research has gained traction in environmental science and sustainability circles and reflects his broader focus on practical, eco-friendly engineering solutions.

1. Marchezi, G., Concolato, G., Colla, L. M., & Piccin, J. S. (2025). Optimizing submerged fermentation conditions of Aspergillus niger for chitin production. Applied Biochemistry and Biotechnology, Advance online publication. https://doi.org/10.1007/s12010-025-05323-z

2. Marchezi, G., Concolato, G., Colla, L. M., & Piccin, J. S. (2025, April 9). Obtaining chitin through the optimization of submerged fermentation conditions of the fungus Aspergillus niger [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-5844183/v1

3. Krein, D. D. C., Emer, C. D., Dettmer, A., & Piccin, J. S. (2024). Anthocyanin: A review of the technologies for obtaining the compound. Ciência e Natura, Advance online publication. https://doi.org/10.5902/2179460X84237

4. Melara, F., da Silva, L. K., Sanderi, D. M., Krein, D. D. C., Machado, T. S., Dettmer, A., & Piccin, J. S. (2024). Enhanced efficiency fertilizer: A review on technologies, perspectives, and research strategies. Environment, Development and Sustainability, Advance online publication. https://doi.org/10.1007/s10668-024-05468-7

5. Schommer, V. A., Vanin, A. P., Nazari, M. T., Ferrari, V., Dettmer, A., Colla, L. M., & Piccin, J. S. (2023). Biochar-immobilized Bacillus spp. for heavy metals bioremediation: A review on immobilization techniques, bioremediation mechanisms and effects on soil. Science of the Total Environment, 886, 163385. https://doi.org/10.1016/j.scitotenv.2023.163385

Strength of the Best Innovator Award

1. Translational Research for Sustainable Agriculture
Dr. Piccin has successfully bridged the gap between academic research and agricultural innovation. As co-founder of SemioCrop Agrobiotecnologia, he leads the development of On-Farm bioinput technologies that empower farmers to produce their own microbial inputs, reducing dependency on chemical fertilizers and imports. This practical solution directly contributes to sustainability, cost-efficiency, and national agricultural resilience.

2. Valorization of Waste through Green Technologies
His research consistently focuses on waste-to-resource strategies, converting agro-industrial residues into high-value products like biopolymers and adsorbents. By employing fungi such as Aspergillus niger in submerged fermentation systems, Dr. Piccin’s work enables eco-friendly extraction of compounds like chitin, aligning with circular economy principles and reducing environmental burden.

3. Interdisciplinary Integration in Engineering
Combining expertise in chemical, food, and environmental engineering, Dr. Piccin creates innovative process solutions. He has developed composite adsorbents for water purification, reviewed advanced fertilizer technologies, and explored anthocyanin extraction processes. This broad knowledge integration allows for multifaceted innovations with real-world impact across industries.

4. Strong Academic-Industry Linkage
Through projects funded by CNPq, FAPERGS, and FINEP, and in his role at UPF and SemioCrop, Dr. Piccin connects academia with industry needs. His leadership in the BeiCrop Lab exemplifies how targeted research initiatives can directly support national policy goals in food security and environmental health, ensuring innovations are market-responsive and scalable.

5. Proven Impact through Publications and Partnerships
Dr. Piccin’s work is internationally recognized, as evidenced by peer-reviewed publications in top-tier journals like Science of the Total Environment and Applied Biochemistry and Biotechnology. His projects involve multidisciplinary teams and collaborations with national institutions, reflecting a robust ecosystem of innovation fueled by science, entrepreneurship, and sustainable development goals.