Tag: Best Researcher Award

Ashish Kumar Prasad, Mathematics, Best Researcher Award

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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

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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

Zefeng Lin, Medicine, Best Researcher Award

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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

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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

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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

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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

Hamdy Abdelsalam Elgohary, Engineering, Best Researcher Award

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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.

Nazzareno Cannella, Pharmacology, Best Researcher Award

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Professor Nazzareno Cannella: Associate Professor at University of Camerino, Italy

Dr. Nazzareno Cannella is an accomplished Associate Professor of Pharmacology at the University of Camerino, Italy, with a strong focus on neuropsychopharmacology. Over the years, his research has explored the neurobiology of motivated behaviors and reward systems, particularly in relation to substance use disorders (SUD) involving alcohol, psychostimulants, nicotine, and opioids. Dr. Cannella’s work also addresses the co-occurrence of psychiatric disorders such as anxiety, PTSD, and depression, which often co-appear with SUDs. His multifaceted research integrates a variety of cutting-edge techniques, including in-vivo behavioral models, pharmacology, neuroimaging (MRI, PET), and genetic manipulation. He seeks to advance personalized and translational medicine in addiction research by exploring individualized treatment responses and the identification of biomarkers for SUDs.

Online Profiles

Dr. Cannella maintains an extensive academic presence online. His work can be found in various scientific databases and repositories:

  • Scopus Author ID: 24079967600

  • ORCID: 0000-0002-2891-8679
    His complete list of over 60 publications, which includes groundbreaking studies in addiction research, is accessible on his NCBI Bibliography. This includes his collaborative work on preclinical models and his exploration of neurobiological mechanisms underlying addiction.

  • 1,483 Citations from 1,086 Documents

  • 62 Documents published

  • h-index of 23

Education

Dr. Cannella’s academic journey began with a Master of Science in Biology from the University of Camerino in 2005. He then pursued his PhD in Neuropsychopharmacology at the same institution, earning his degree in 2009. His dissertation, under the supervision of Dr. Roberto Ciccocioppo, focused on the neurobiology of addiction and pharmacological interventions. To expand his expertise, he spent a year as a visiting scholar at Stanford University School of Medicine, where he worked with Dr. Luis de Lecea. Dr. Cannella then honed his research skills through postdoctoral fellowships at leading European institutions, including the Central Institute of Mental Health in Mannheim, Germany, and the Neurocentre Magendie in Bordeaux, France.

Research Focus

Dr. Cannella’s research focuses on the neurobiological underpinnings of substance use disorders (SUD) and their psychiatric comorbidities. His primary interest lies in understanding the reward circuitry in the brain, which plays a crucial role in addiction and motivated behaviors. He is especially concerned with how these systems interact with mental health conditions like anxiety, depression, and impulsivity. In addition to the basic neurobiology of addiction, his work spans treatment development, personalized medicine, and translational medicine, aiming to design more effective therapies for addiction. Dr. Cannella also investigates individual variability in response to treatment, with a goal of improving the precision of addiction therapies. His research integrates advanced techniques such as behavioral rodent models, neuroimaging, pharmacological interventions, and molecular biology.

Experience

Dr. Cannella has held various academic positions throughout his career, contributing significantly to the fields of pharmacology and neuropsychopharmacology. He is currently an Associate Professor of Pharmacology at the University of Camerino, a position he has held since 2023. Prior to this, he served as an Assistant Professor from 2020 to 2022. His long-standing association with the Central Institute of Mental Health in Mannheim, Germany, as a Guest Scientist since 2017 has allowed him to collaborate on numerous international research projects. Dr. Cannella also gained valuable experience as a Research Assistant Professor and Research Associate at the University of Camerino, Italy, where he has played a pivotal role in advancing both the academic and research profiles of the institution. His work has consistently been supported by various competitive research grants, allowing him to lead multiple interdisciplinary teams working on addiction-related projects.

Research Timeline

Dr. Cannella’s research timeline begins with his PhD in 2009, where his foundational work on the neurobiology of addiction set the stage for his future studies. From 2010 to 2016, he honed his skills through postdoctoral training in Germany and France, focusing on neuropharmacology and behavioral neuroscience. In 2016, he became a Research Associate at the University of Camerino, where he soon expanded his research interests to explore individualized vulnerability to addiction. His significant work on SUD biomarkers, genetic vulnerability, and personalized medicine began to take shape during his tenure as a Research Assistant Professor from 2019 to 2020. In 2023, he advanced to the role of Associate Professor, where his research is now funded by prestigious grants such as the NIH/NIAAA and the Hetzler Foundation, ensuring that his work on addiction continues to be at the forefront of scientific discovery.

Awards & Honors

Dr. Cannella has received various awards and honors throughout his career, including multiple competitive research grants and recognition from leading scientific societies. He is an active member of prestigious organizations such as the Italian Society of Neuroscience, the Federation of European Neuroscience Societies, and the European Behavioral Pharmacology Society. His research has been frequently cited and recommended by expert panels, including F1000 and NIDA’s Blog. Additionally, his work on personalized medicine and addiction has garnered attention in both academic and clinical settings, making him a leading figure in addiction research.

Top-Noted Publication

Dr. Cannella’s top-noted publication is a 2024 study in Neuropharmacology on Cebranopadol, a novel opioid agonist. This study demonstrated Cebranopadol’s potential in treating opioid use disorder with a low risk of abuse, a significant advancement in the search for safer alternatives to traditional opioid therapies. The paper, titled “Cebranopadol, a novel long-acting opioid agonist with low abuse liability, to treat opioid use disorder: Preclinical evidence of efficacy”, highlights Dr. Cannella’s commitment to developing effective, less harmful treatments for addiction. His work on the molecular mechanisms underlying addiction continues to influence drug development strategies for a range of substance use disorders.

  • Predicting individual treatment response in alcohol use disorders: a reverse translational proof-of-concept study
    Translational Psychiatry | Published: June 24, 2025
    DOI: 10.1038/s41398-025-03431-2
    This study explores the reverse translational approach to predicting personalized treatment responses in alcohol use disorder (AUD), offering valuable insights into the future of individualized treatments for addiction.

  • Genome-wide association study reveals multiple loci for nociception and opioid consumption behaviors associated with heroin vulnerability in outbred rats
    Molecular Psychiatry | Published: February 25, 2025
    DOI: 10.1038/s41380-025-02922-4
    This research identifies genetic loci related to nociception and opioid consumption behaviors, contributing to our understanding of heroin addiction and individual vulnerability.

  • Pharmacological Mechanism and Drug Research Prospects of Ginsenoside Rb1 as an Antidepressant
    Antioxidants (Basel, Switzerland) | Published: February 19, 2025
    DOI: 10.3390/antiox14020238
    This article reviews the pharmacological properties of Ginsenoside Rb1, examining its potential as an antidepressant, with a focus on its therapeutic prospects in neuropsychiatric disorders.

  • Distinct Behavioral Profiles and Neuronal Correlates of Heroin Vulnerability Versus Resiliency in a Multi-Symptomatic Model of Heroin Use Disorder in Rats
    The American Journal of Psychiatry | Published: January 15, 2025
    DOI: 10.1176/appi.ajp.20230623
    This study distinguishes between behavioral and neuronal correlates of vulnerability versus resiliency in heroin use disorder, providing critical insights into potential therapeutic strategies.

  • Cebranopadol, a novel long-acting opioid agonist with low abuse liability, to treat opioid use disorder: Preclinical evidence of efficacy
    Neuropharmacology | Published: October 2024
    DOI: 10.1016/j.neuropharm.2024.110048
    This publication presents preclinical evidence for the efficacy of Cebranopadol, a novel opioid agonist with a promising profile for treating opioid use disorder without significant abuse liability.

Suhail Ahmad, Chemistry, Best Researcher Award

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Doctorate Suhail Ahmad: Research Scholar at Maulana Azad National Urdu University (MANUU)-Hyderabad, India

Suhail Ahmad is a Research Scholar pursuing a Ph.D. in Organic Chemistry at Maulana Azad National Urdu University. With an academic focus on the synthesis of novel heterocyclic compounds, his research explores their photophysical properties and biological activities. Suhail is particularly interested in designing and developing efficient chemosensors for metal ion detection, a vital aspect of environmental monitoring and biological sensing. He has authored multiple high-impact papers and presented his work at several international conferences. Passionate about sustainable chemical science, Suhail aims to bridge the gap between fundamental research and practical applications in chemical sensing.

Online Profiles

Scopus Profile

LinkedIn: Suhail Ahmad LinkedIn
A comprehensive professional network for collaboration and showcasing research expertise.

Citations & Research Impact

  • Total Citations: 122

  • Cited by: 99 documents

  • h-index: 6

Education

  • Ph.D. in Chemistry (Expected: February 2026)
    Maulana Azad National Urdu University
    Suhail’s doctoral research focuses on Organic Chemistry, with a particular emphasis on heterocyclic compounds. His work incorporates innovative methods of one-pot synthesis, photophysical investigation, and evaluation of biological activity. He has excelled in various coursework related to advanced chemical synthesis, spectroscopy, and material science, preparing him for his ongoing research contributions.

  • Master of Science in Chemistry (2018)
    University Name
    A comprehensive program focused on organic and inorganic chemistry with a thesis on reaction mechanisms in organic synthesis.

Research Focus

Suhail’s current research aims to develop novel, highly sensitive fluorescent chemosensors for the detection of metal ions such as Fe³⁺, Cu²⁺, Hg²⁺, and Zn²⁺. Using techniques like one-pot synthesis, multi-step synthesis, and ultrasound-assisted methods, he has contributed to the development of sensors with enhanced selectivity and sensitivity. His work combines organic synthesis with photophysical and biological testing to provide new tools for environmental monitoring, toxicology, and healthcare applications. Additionally, Suhail’s research investigates the potential biological activities of the compounds, such as antimicrobial, antioxidant, and anticancer effects, which could have implications for drug development.

Research Experience

Suhail Ahmad is currently involved in cutting-edge research on the design and synthesis of novel fluorescent chemosensors. As a Research Scholar at Maulana Azad National Urdu University, he has applied various techniques to synthesize and characterize organic compounds with targeted photophysical properties. His projects focus on the one-pot synthesis of heterocyclic compounds, which are then characterized using advanced spectroscopic methods like UV-Vis, fluorescence spectroscopy, and NMR. Over the years, he has collaborated with researchers across multiple disciplines, contributed to multiple published papers, and presented his findings at numerous national and international conferences. His work bridges the gap between synthetic chemistry and real-world applications in environmental monitoring, sensing, and bio-imaging.

Research Timeline

  • 2023: Conducted detailed studies on the synthesis and photophysical properties of benzothiazole-pyrazoline-based sensors for detecting Fe³⁺ ions. Published initial findings in leading journals and presented them at national and international conferences.

  • 2024: Expanded research into the application of thiadiazole derivatives in environmental and biological sensing. Focused on the development of highly selective chemosensors for multiple metal ions, including Cu²⁺ and Hg²⁺. Contributed chapters to the book on Green Carbon Dots published by the American Chemical Society.

  • 2025: Progressed to multi-step synthesis and biological evaluation of triazole-based compounds with photo-responsive properties for ion detection. Expected to complete Ph.D. dissertation in February 2026, covering key findings from his extensive research on sensor design and its biological applications.

Awards & Honors

  • Best Paper Award at the International Conference on “Innovation in Chemical Science for Sustainable Development” (2025) for outstanding research contributions in chemical sensing.

  • Young Researcher Award from the National Conference on Advances in Chemical and Biological Sciences (2023) for excellence in emerging research in chemical sciences.

  • ACS Leadership Scholarship (2022) awarded for leadership potential and academic excellence in chemistry.

  • Excellence in Research Award at Maulana Azad National Urdu University (2024) for the innovative approach in synthesizing novel chemosensors.

Top-Noted Publications

  1. “A Review on Recent Progress in Synthesis and Biological Activities of Thiadiazole and its Derivatives”
    Journal of Molecular Structure, 2024
    This review paper presents a comprehensive overview of the synthesis strategies and biological properties of thiadiazole derivatives, discussing their potential applications in drug discovery and environmental sensing.

  2. “Photophysical Investigation of One-Pot Synthesized Novel Indenofluorene Derivative (BDP) as a Fluorescent Chemosensor for Fe³⁺ Ion Detection”
    Journal of Fluorescence, 2024
    The research focuses on a novel chemosensor for Fe³⁺ ions synthesized using a one-pot approach, highlighting its application in aqueous media for environmental monitoring.

  3. “Multi-step Synthesis and Photophysical Investigation of Benzothiazole-Pyrazoline Based Fluorescent Chemosensor for Fe³⁺ Ion Detection”
    Journal of Molecular Structure, 2025
    This paper details the synthesis of a benzothiazole-pyrazoline derivative, a selective “turn-off” fluorescent chemosensor for detecting Fe³⁺ ions in aqueous solutions.

  4. “A Comprehensive Review on Recent Advances of Remarkable Scaffold Triazole-based Schiff Base: Synthesis and Photoresponsive Chemosensors for Al³⁺ Ion Detection”
    Journal of Fluorescence, 2025
    This extensive review examines the synthesis of triazole-based Schiff base compounds and their potential as photoresponsive chemosensors, focusing on their application in detecting Al³⁺ ions.

Gorachand Chakraborty, Mathematics, Best Researcher Award

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Dr. Gorachand Chakraborty: Assistant Professor at Sidho-Kanho-Birsha University, India

Dr. Gorachand Chakraborty is a dedicated mathematician and an Assistant Professor in the Department of Mathematics at Sidho-Kanho-Birsha University, Purulia, West Bengal, India. With a passion for research in complex dynamics and related fields, he has contributed significantly to the understanding of transcendental functions, meromorphic functions, and fractal geometry. Dr. Chakraborty holds a Ph.D. in Mathematics from The University of Kalyani, and his academic pursuits are complemented by a strong teaching career, mentoring both undergraduate and postgraduate students.

Online Profiles

Scopus Profile

Citations: 20 citations from 11 documents
h-index: 3 (as per Scopus)

Education

Dr. Chakraborty’s academic journey began with his M.P. from the West Bengal Board of Secondary Education in 2005, followed by H.S. from WBCHSE in 2007. He then pursued a B.Sc. in Mathematics Honours from J.K. College, Purulia, under Burdwan University, where he developed a deep interest in mathematics. His pursuit of higher education took him to IIT Guwahati, where he obtained his M.Sc. in Mathematics and Computing in 2012. Finally, he earned his Ph.D. in Mathematics from The University of Kalyani in 2021, completing a rigorous dissertation in the areas of complex dynamics and value distribution theory.

Research Focus

Dr. Chakraborty’s research interests revolve around Complex Dynamics, Value Distribution Theory, Fractal Geometry, and Functional Analysis. He has specifically focused on the dynamics of transcendental entire and meromorphic functions, contributing to the understanding of Herman rings, Fatou and Julia sets, and the dynamics of singular values. His work intersects several important mathematical areas and aims to develop a unified theory that connects complex dynamics with value distribution theory and fractals.

Experience

Dr. Chakraborty’s teaching career spans more than a decade, beginning in 2013 as a lecturer at Rajiv Gandhi University of Knowledge Technologies, Hyderabad, where he was involved in early undergraduate teaching. He moved on to serve as an Assistant Professor at Jhargram Raj College (2015), Govt. General Degree College at Manbazar II (2015–2019), and Sidho-Kanho-Birsha University (2019–present), where he continues to teach both undergraduate and postgraduate courses. In addition to his teaching, he has supervised several research scholars and has actively contributed to the academic development of his institution.

Research Timeline

Dr. Chakraborty’s research career has evolved through several key milestones, starting with his early exploration of complex dynamics during his Ph.D. at The University of Kalyani. His doctoral work laid the foundation for subsequent contributions to Herman rings and Baker omitted values. Over the years, he has worked on a variety of projects, such as understanding dynamical systems of transcendental meromorphic functions and investigating the growth properties of solutions to complex linear differential-difference equations. His current research is centered on the Fatou and Julia sets of transcendental functions, supported by a significant grant from the National Board for Higher Mathematics (NBHM).

Awards & Honors

Dr. Chakraborty has been recognized with several awards and honors for his academic excellence. Notably, he received the Best Paper Presentation Award at the 42nd Annual Conference of Orissa Mathematical Society (2015) for his presentation on Baker Omitted Values. He was also awarded for his research contributions in several conferences and workshops. His recognition spans across both national and international platforms, establishing him as a respected figure in the field of mathematics.

Top-Noted Publications

Dr. Chakraborty has published numerous papers in high-impact journals, contributing to the global discourse on complex dynamics and meromorphic functions. Notable publications include:

  1. “Baker Omitted Value, Complex Variables and Elliptic Equations” (2016) – A significant paper published in the SCIE-indexed journal, with an impact factor of 0.846, exploring Baker’s omitted values in complex dynamics. Link

  2. “Herman Rings with Small Periods and Omitted Values”, Acta Mathematica Scientia (2018) – This paper examines the dynamical aspects of transcendental meromorphic functions. Link

  3. “Configurations of Herman Rings in the Complex Plane”, Indian Journal of Mathematics (2021) – An in-depth study of the geometric and dynamical configurations of Herman rings. Link

  4. “On the Level of Qe(f) in Quite Fast Escaping Set and Spider’s Web”, Annali di Matematica Pura ed Applicata (2023) – A paper on transcendental semigroups with applications to complex dynamical systems. Link