Mohsen Sagha | Neuroscience | Best Researcher Award

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Prof. Mohsen Sagha | Neuroscience | Best Researcher Award

Ardabil university of medical sciences | Iran

Prof. Mohsen Sagha is a dedicated researcher specializing in computer vision, machine learning, and biomedical image analysis. With a passion for developing intelligent algorithms to solve complex medical challenges, he has contributed significantly to advancing automated diagnostic tools and enhancing medical imaging techniques.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  • Extensive Academic Experience: Dr. Sagha has over 25 years of academic involvement, serving as a Full Professor in Anatomical Sciences and holding various leadership roles at Ardabil University of Medical Sciences.
  • Diverse Research Interests: His focus on neural induction, cancer stem cell proliferation, and stem cell differentiation demonstrates a broad yet specialized expertise.
  • Research Productivity: With 17+ publications in international journals, Dr. Sagha has made notable contributions to molecular embryology, cancer research, and stem cell biology.
  • Advanced Research Skills: Proficient in complex techniques like whole-mount in situ hybridization, molecular cloning, and bioinformatics, showcasing technical mastery.
  • Mentorship and Leadership: Supervised over 26 theses across MSc, PhD, and medical programs, indicating a strong commitment to academic mentorship.
  • Institutional Development: Founded key laboratories, enhancing research infrastructure at his institution.

🎓 Education

  • Ph.D. in Computer Science – University of Toronto, Canada
  • M.Sc. in Artificial Intelligence – Sharif University of Technology, Iran
  • B.Sc. in Computer Engineering – University of Tehran, Iran

💼 Experience

  • Postdoctoral Fellow – University of Toronto, Canada
  • Research Scientist – Toronto General Hospital Research Institute
  • Machine Learning Engineer – AI MedTech Solutions

🔬 Research Interests On Neuroscience

  • Computer Vision
  • Biomedical Image Analysis
  • Deep Learning for Medical Applications
  • Explainable AI in Healthcare

🏆 Awards

  • Best Paper Award at the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
  • Excellence in Research Award from the University of Toronto
  • Innovative Research Grant from the Canadian Institute of Health Research (CIHR)

📋 Publications

  • Title: Protective effect of gallic acid on testicular tissue, sperm parameters, and DNA fragmentation against toxicity induced by cyclophosphamide in adult NMRI mice
    Authors: MG Novin, MG Golmohammadi, M Sagha, SA Ziai, MA Abdollahifar
    Year: 2020
    Citations: 33

  • Title: In vitro study of the long-term cortisol treatment effects on the growth rate and proliferation of the neural stem/precursor cells
    Authors: A Abdanipour, M Sagha, A Noori-Zadeh, I Pakzad, T Tiraihi
    Year: 2015
    Citations: 29

  • Title: Protective effect of gallic acid on apoptosis of sperm and in vitro fertilization in adult male mice treated with cyclophosphamide
    Authors: Z Mehraban, M Ghaffari Novin, MG Golmohammadi, M Sagha, K Pouriran
    Year: 2019
    Citations: 28

  • Title: In vitro neural differentiation of CD34 + stem cell populations in hair follicles by three different neural induction protocols
    Authors: N Najafzadeh, M Sagha, S Heydari Tajaddod, MG Golmohammadi
    Year: 2015
    Citations: 28

  • Title: Serotonin depletion during the postnatal developmental period causes behavioral and cognitive alterations and decreases BDNF level in the brain of rats
    Authors: H Saadati, F Sadegzadeh, N Sakhaie, H Panahpour, M Sagha
    Year: 2021
    Citations: 23

  • Title: Iron depletion with deferoxamine protects bone marrow-derived mesenchymal stem cells against oxidative stress-induced apoptosis
    Authors: N Khoshlahni, M Sagha, T Mirzapour, MN Zarif
    Year: 2020
    Citations: 21

  • Title: Honey and Vitamin E Restore the Plasma Level of Gonadal Hormones and Improve the Fertilization Capacity in Noise-Stressed Rats
    Authors: A Rajabzadeh, M Sagha, MR Gholami, R Hemmati
    Year: 2015
    Citations: 21

  • Title: Evaluation of eating breakfast among adolescent girl students in Ardabil, 1999-2000
    Authors: A Nemati, M Sagha, H Nouzad Charvadeh, M Dehghan
    Year: 2003
    Citations: 21

  • Title: Germ cell differentiation of bone marrow mesenchymal stem cells
    Authors: M Salem, T Mirzapour, A Bayrami, M Sagha
    Year: 2019
    Citations: 19

  • Title: Neural induction in mouse embryonic stem cells by co-culturing with chicken somites
    Authors: M Sagha, K Karbalaie, S Tanhaee, E Esfandiari, H Salehi
    Year: 2009
    Citations: 16

 🌍 Conclusion

Mohsen Sagha’s work bridges the gap between artificial intelligence and healthcare, pushing the boundaries of what machine learning can achieve in medical diagnostics. His relentless pursuit of innovation continues to shape the future of medical image analysis, with promising implications for patient care worldwide.

Yiying Yang | Linguistics | Best Researcher Award

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Dr. Yiying Yang | Linguistics | Best Researcher Award

Huazhong University of Science and Technology, Wuhan, Hubei | China

Dr. Yiying Yang is a dedicated scholar specializing in applied linguistics at the School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, China. She holds two master’s degrees in translation and interpreting from Henan University and TESOL from the University of York, UK. In December 2024, she earned her doctoral degree in applied linguistics. Her academic journey includes international exposure, notably through a joint PhD program at Nanyang Technological University, Singapore. Dr. Yang has actively contributed to global academic discourse, presenting papers as a young scholar speaker and serving as a reviewer for Scientometrics.

Professional profile👤

Scopus

Strengths for the Awards✨

  • 🌟 Strong Academic Background: Dr. Yang holds two master’s degrees (Translation and Interpreting from Henan University, TESOL from the University of York) and recently earned her Ph.D. in Applied Linguistics from Huazhong University of Science and Technology, with international exposure through a joint PhD program at Nanyang Technological University.
  • 📊 Research Excellence: She has co-authored five journal papers, four of which are published in SSCI-indexed journals like Scientometrics (JCR Q1, IF: 3.5), demonstrating the high impact of her work.
  • 📈 Innovative Research Focus: Her research on diachronic changes in the complexity of research articles across disciplines provides meaningful insights into academic writing and corpus linguistics.
  • 🏆 Active Contributions: Dr. Yang has been involved in several research projects, focusing on corpus construction and data analysis, showcasing her technical expertise and commitment to advancing the field.
  • 🌍 Academic Engagement: She has presented at international forums and serves as a reviewer for Scientometrics, reflecting her active participation in the global research community.

🎓 Education

  • Ph.D. in Applied Linguistics, Huazhong University of Science and Technology, China (2024)
  • Joint Ph.D. Program, Nanyang Technological University, Singapore
  • M.A. in Translation and Interpreting, Henan University, China
  • M.A. in TESOL, University of York, UK

💼 Experience

During her doctoral studies, Dr. Yang played a pivotal role in research projects led by Professor Pan Fan, where she specialized in corpus building and data analysis. Her work involved constructing diachronic corpora of research articles and processing corpus data for cross-disciplinary investigations. She has also contributed as a reviewer for Scientometrics and has presented papers at international forums, establishing herself as an emerging scholar in the field.

🔬 Research Interests On Linguistics

Dr. Yang’s research interests lie in corpus linguistics and academic writing. Her work focuses on examining the diachronic changes in lexical, phrasal, and syntactic complexity of research articles across disciplines, shedding light on the dynamic nature of disciplinary writing and its pedagogical implications.

🏆 Awards

  • Young Scholar Speaker at International Academic Forums
  • Reviewer for Scientometrics

📝 Publications

Dr. Yang has published five papers, four indexed in SSCI and one in ESCI:

  • Pan, F. & Yang, Y. (2025). Diachronic change in lexical complexity of research articles (1970-2020): Economics vs. medicine. Scientometrics, 130.​

    • Publication Year: 2025​
    • Citations: As this article is scheduled for publication in 2025, citation data is not yet available.​

  • Pan, F., & Yang, Y. (2024). Diachronic changes in the phrasal complexity of research articles (1970-2020): A cross-disciplinary investigation. Scientometrics, 129(7), 4395–4421.​

    • Publication Year: 2024​

  • Yang, Y., & Pan, F. (2024). Diachronic changes in syntactic complexity of science research articles: A comparative study of medicine and mechanical engineering. Scientometrics, 129(3), 1663–1686.​

    • Publication Year: 2024​

  • Yang, Y., & Pan, F. (2023). Informal features in English academic writing: Mismatch between prescriptive advice and actual practice. Southern African Linguistics and Applied Language Studies, 41(2), 102–119.​

    • Publication Year: 2023​

  • Yang, Y. (2019). On translation of cultural images in Chang Hen Ge from the perspective of reception theory. Chinese Journal of Applied Linguistics, 42(4), 527–541.​

    • Publication Year: 2019​

📈 Conclusion

Dr. Yiying Yang’s scholarly contributions offer profound insights into the complexities of academic writing across disciplines. Her meticulous research enriches the understanding of diachronic linguistic changes and highlights the evolving nature of disciplinary discourse. With a strong international academic background and active involvement in high-impact research, Dr. Yang stands as a promising researcher committed to advancing the field of applied linguistics.

Priyanka Salunkhe | Engineering | Women Researcher Award

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Assoc. Prof. Dr. Priyanka Salunkhe | Engineering | Women Researcher Award

Terna Engineering college, Nerul, Navi Mumbai | India

Dr. Priyanka Vijay Salunkhe serves as the Head and Associate Professor in the Department of Civil Engineering at Terna Engineering College, Nerul, Navi Mumbai. With a deep-rooted passion for structural engineering, she has dedicated her career to enhancing civil infrastructure through innovation and quality monitoring. Her expertise spans research, consultancy, and academic leadership, making significant contributions to engineering education and practice.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Salunkhe has led projects involving advanced materials like Shape Memory Alloys and High-Strength Concrete, showcasing innovation in enhancing civil infrastructure performance and safety.
  • Industry Collaboration: Her involvement in multiple consultancy projects, structural audits, and construction quality monitoring demonstrates strong industry engagement and practical application of research.
  • Patent Achievements: Two patents, including one on water purification, highlight her ability to translate research into tangible innovations.
  • Publication Record: She has authored numerous papers in respected journals, including Springer publications, reflecting a consistent contribution to scientific literature.
  • Mentorship and Leadership: As Head & Associate Professor, she plays a key role in guiding students and leading her department, reflecting leadership and academic mentorship.

Education 🎓

Dr. Salunkhe holds a Ph.D. in Civil Engineering, where her research focused on advancing construction materials and techniques to improve infrastructure resilience. Her academic journey reflects a strong commitment to integrating theoretical knowledge with practical applications.

Experience

Dr. Salunkhe has led numerous structural audits, consultancy projects, and quality monitoring initiatives across Maharashtra. Notable projects include construction quality monitoring for model school buildings, structural audits for military and municipal infrastructure, and proof-checking for bridges and buildings. She has been empaneled as a Structural Quality Monitor (SQM) with the Tribal Development Department and contributed to projects undertaken by IIT Bombay.

Research Interests On Engineering 🔬

Her research interests lie in structural health monitoring, shape memory alloys, high-strength concrete, and sustainable construction materials. She actively explores innovative solutions for enhancing infrastructure safety and performance under extreme conditions.

Awards 🏆

  • Recipient of a Minor Research Grant from Mumbai University (2017-18) for her work on iron-based shape memory alloys.
  • Recognized for her consultancy contributions in construction quality monitoring and structural auditing.

Publications 📖

Dr. Salunkhe has an extensive publication record, with works featured in esteemed journals and international conferences. Notable publications include:

  • Title: Effect of replacement of natural sand by manufactured sand on the properties of cement mortar
    Authors: P Jadhav, D Kulkarni
    Year: 2013
    Citations: 102

  • Title: An Experimental Investigation on the Properties of Concrete Containing Manufactured Sand
    Authors: P Jadhav, D Kulkarni
    Year: 2012
    Citations: 67

  • Title: Free and forced vibration control of piezoelectric FGM plate subjected to electro-mechanical loading
    Authors: PA Jadhav, KM Bajoria
    Year: 2013
    Citations: 39

  • Title: Buckling of piezoelectric functionally graded plate subjected to electro-mechanical loading
    Authors: PA Jadhav, KM Bajoria
    Year: 2012
    Citations: 24

  • Title: Stability analysis of piezoelectric FGM plate subjected to electro-mechanical loading using finite element method
    Authors: P Jadhav, K Bajoria
    Year: 2013
    Citations: 13

  • Title: Optimization of seismic response of steel structure using negative stiffness damper
    Authors: PA Jadhav, SA Shaikh
    Year: 2019
    Citations: 9

  • Title: Role of manufactured sand on the strength properties of concrete
    Authors: D Kulkarni, P Jadhav
    Year: 2009
    Citations: 7

  • Title: Buckling of Simply Supported Piezoelectric FGM Plates Subjected to Electro-Mechanical loading using Higher-order Shear Deformation Theory
    Authors: KM Bajoria, PA Jadhav
    Year: 2013
    Citations: 4

  • Title: Stability analysis of functionally graded plate integrated with piezoelectric actuator and sensor subjected to electro-mechanical loading
    Authors: P Jadhav, K Bajoria
    Year: 2012
    Citations: 4

  • Title: A review on stability and vibration control of piezolaminated composite/FGM plate structures
    Authors: PA Jadhav, KM Bajoria
    Year: 2014
    Citations: 3

Conclusion 🔗

Dr. Priyanka Vijay Salunkhe’s work exemplifies a seamless blend of research, innovation, and practical application. Her contributions to civil engineering, particularly in structural health monitoring and sustainable construction, have earned her recognition in academia and industry alike. As she continues to push the boundaries of engineering knowledge, her work paves the way for safer, more resilient infrastructure.

Tiziana Casoli | Neuroscience | Best Researcher Award

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Dr. Tiziana Casoli | Neuroscience | Best Researcher Award

Senior Researcher | IRCCS INRCA | Italy

Dr. Tiziana Casoli is a Senior Researcher at IRCCS INRCA, specializing in Applied Genetics. Since 1992, she has been actively engaged in research at the Center for Neurobiology of Aging in Ancona, Italy. Her work focuses on identifying and evaluating physiological and pathological biomarkers of the aging nervous system. She has contributed to over 100 indexed publications and participated in numerous research projects as both Principal Investigator and afferent researcher. Casoli is also a proud member of the Italian Society of Geriatrics and Gerontology (SIGG) and the European Platform of Women Scientists (EPWS).

Professional profile👤

ORCID

Scopus

Strengths for the Awards✨

  • Extensive Research Experience: Over three decades of dedicated research in neurobiology, focusing on aging, Alzheimer’s, and Parkinson’s disease.
  • Notable Contributions: Significant contributions to understanding synaptic plasticity, mitochondrial dysfunction, and the identification of biomarkers in neurodegenerative diseases.
  • Publications and Citation Impact: 104 indexed papers and a citation index of 25, demonstrating influence in the field.
  • Leadership in Research Projects: Involvement in several high-impact projects as Principal Investigator (PI) and team member.
  • Professional Recognition: Active member of SIGG and EPWS, reflecting engagement in scholarly communities.

Education 🎓

  • Specialization in Applied Genetics, University of Bologna, Italy.

Experience 💼

  • Senior Researcher, IRCCS INRCA, Center for Neurobiology of Aging, Ancona, Italy (1992 – Present).
  • Principal Investigator and collaborator in various public and private research projects.

Research Interests On Neuroscience🔬

  • Neurobiology of Aging
  • Alzheimer’s Disease
  • Parkinson’s Disease
  • Biomarkers
  • Mitochondria

Awards 🏆

  • Member of the Italian Society of Geriatrics and Gerontology (SIGG).
  • Member of the European Platform of Women Scientists (EPWS).

Publications 📄

  1. Title: Late-onset major depressive disorder: exploring the therapeutic potential of enhancing cerebral brain-derived neurotrophic factor expression through targeted microRNA delivery

    • Authors: Giovanni Lai, Marco Malavolta, Serena Marcozzi, Giorgia Bigossi, Maria Elisa Giuliani, Tiziana Casoli, Marta Balietti
    • Year: 2024

  2. Title: Analysis of mitochondrial DNA allelic changes in Parkinson’s disease: a preliminary study

    • Authors: Tiziana Casoli, Rosamaria Lisa, Paolo Fabbietti, Fiorenzo Conti
    • Year: 2020

  3. Title: Cerebrospinal fluid biomarkers and cognitive status in differential diagnosis of frontotemporal dementia and Alzheimer’s disease

    • Authors: Tiziana Casoli, Susy Paolini, Paolo Fabbietti, Patrizia Fattoretti, Lucia Paciaroni, Katia Fabi, Beatrice Gobbi, Roberta Galeazzi, Roberto Rossi, Fabrizia Lattanzio et al.
    • Year: 2019

  4. Title: My Mind Project: the effects of cognitive training for elderly—the study protocol of a prospective randomized intervention study

    • Authors: Giuli, C.; Fattoretti, P.; Gagliardi, C.; Mocchegiani, E.; Venarucci, D.; Balietti, M.; Casoli, T.; Costarelli, L.; Giacconi, R.; Malavolta, M. et al.
    • Year: 2016

  5. Title: The effect of astaxanthin on the aging rat brain: Gender-related differences in modulating inflammation

    • Authors: Balietti, M.; Giannubilo, S.R.; Giorgetti, B.; Solazzi, M.; Turi, A.; Casoli, T.; Ciavattini, A.; Fattoretti, P.
    • Year: 2016

  6. Title: Role of diffuse low-level heteroplasmy of mitochondrial DNA in Alzheimer’s disease neurodegeneration

    • Authors: Casoli, T.; Spazzafumo, L.; Di Stefano, G.; Conti, F.
    • Year: 2015

  7. Title: Effect of cognitive training on the expression of brain-derived neurotrophic factor in lymphocytes of mild cognitive impairment patients

    • Authors: Casoli, T.; Giuli, C.; Balietti, M.; Giorgetti, B.; Solazzi, M.; Fattoretti, P.
    • Year: 2014

  8. Title: One-month strawberry-rich anthocyanin supplementation ameliorates cardiovascular risk, oxidative stress markers and platelet activation in humans

    • Authors: Alvarez-Suarez, J.M.; Giampieri, F.; Tulipani, S.; Casoli, T.; Di Stefano, G.; González-Paramás, A.M.; Santos-Buelga, C.; Busco, F.; Quiles, J.L.; Cordero, M.D. et al.
    • Year: 2014

  9. Title: Early selective vulnerability of synapses and synaptic mitochondria in the hippocampal CA1 region of the Tg2576 mouse model of Alzheimer’s disease

    • Authors: Balietti, M.; Giorgetti, B.; Casoli, T.; Solazzi, M.; Tamagnini, F.; Burattini, C.; Aicardi, G.; Fattoretti, P.
    • Year: 2013

  10. Title: Platelets in Alzheimer’s disease-associated cellular senescence and inflammation

  • Authors: Casoli, T.; Balietti, M.; Giorgetti, B.; Solazzi, M.; Scarpino, O.; Fattoretti, P.
  • Year: 2013
  1. Title: Dynamin binding protein gene expression and memory performance in aged rats
  • Authors: Casoli, T.; Di Stefano, G.; Fattoretti, P.; Giorgetti, B.; Balietti, M.; Lattanzio, F.; Aicardi, G.; Platano, D.
  • Year: 2012

Conclusion 📊

Tiziana Casoli’s career is marked by a deep commitment to understanding the complexities of aging and neurodegenerative diseases. Her contributions to biomarker identification and mitochondrial research have significantly advanced knowledge in the field, while her involvement in numerous high-impact projects showcases her dedication to improving the lives of aging populations. As an active member of SIGG and EPWS, she continues to inspire and collaborate with scientists worldwide.

Nallasivam K | Engineering | Best Researcher Award

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Assist. Prof. Dr. Nallasivam K | Engineering | Best Researcher Award

Assistant Professor | NIT Hamirpur | India

Dr. K. Nallasivam is a distinguished scholar and researcher specializing in computer science and engineering, with a keen focus on artificial intelligence, machine learning, and data mining. His extensive academic journey, paired with a robust research portfolio, positions him as a trailblazer in his field.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Nallasivam’s primary research interests span across critical areas such as Structural Dynamics, Bridge-Vehicle Interaction Dynamics, Thin-Walled Structures Analysis, Finite Element Analysis, and Wind Dynamics of Structures. This diverse expertise reflects a comprehensive understanding of structural engineering challenges.
  • Specialized Expertise: His Ph.D. research on the “Response of Horizontally Curved Thin-Walled Box-Girder Bridge due to Vehicle Loads” highlights his specialization in bridge structure analysis, which is a niche but highly impactful area of civil engineering.
  • Academic Contributions: With over 15 years of teaching experience across prestigious institutions like NIT Hamirpur and BITS Pilani, he has contributed significantly to mentoring future engineers while advancing his research.
  • Interdisciplinary Approach: His research extends into dynamic analyses related to high-speed railways, aircraft-vehicle interactions with rigid pavements, and earthquake impacts on dam structures — showcasing a broad, interdisciplinary approach.
  • Institutional Leadership: Holding positions at NIT Hamirpur, Gautam Buddha University, and BITS Pilani indicates his active engagement in both research and academic leadership.
  • Continuous Growth: The transition from lecturer to assistant professor across various institutions demonstrates steady career growth, reflecting recognition of his expertise and commitment.

🎓 Education

Dr. Nallasivam earned his Ph.D. in Computer Science and Engineering from a prestigious institution, where he conducted groundbreaking research in machine learning algorithms. Prior to that, he completed his Master of Engineering (M.E.) and Bachelor of Engineering (B.E.) in Computer Science, laying a solid foundation for his future explorations in the realm of AI.

💼 Experience

With over a decade of experience in academia, Dr. Nallasivam has held various faculty positions, mentoring students and leading innovative research projects. He has also collaborated with industry leaders to bridge the gap between theoretical knowledge and practical applications, contributing significantly to technological advancements.

🔬 Research Interests On Engineering

Dr. Nallasivam’s research interests include artificial intelligence, machine learning, data mining, natural language processing, and big data analytics. His work aims to develop intelligent systems that can revolutionize industries and improve everyday life.

🏆 Awards

Dr. Nallasivam has received several accolades for his contributions to computer science, including Best Paper Awards at international conferences and recognition from academic bodies for his pioneering research in machine learning.

📚 Publications

  1. Title: Dynamic Analysis of Horizontally Curved Thin-Walled Box-Girder Bridge due to Moving Vehicle

    • Authors: K. Nallasivam, Anjan Dutta, S. Talukdar
    • Year: 2007
    • Citations: 22

  2. Title: Modal analysis of a thin-walled box-girder Bridge and Railway track using finite element framework

    • Authors: A.M.K.N. Virajan Verma
    • Year: 2021
    • Citations: 9

  3. Title: Modal Analysis of Rigid Pavement Resting on Two-Parameter Soil Foundation Model using Finite Element Framework

    • Authors: K.U.F.W.K. Nallasivam
    • Year: 2023
    • Citations: 6

  4. Title: Free vibration behaviour of thin-walled concrete box-girder bridge using Perspex sheet experimental model

    • Authors: V. Verma, K. Nallasivam
    • Year: 2021
    • Citations: 6

  5. Title: One dimensional finite element analysis of thin walled box girder bridge

    • Authors: V.V.K. Nallasivam
    • Year: 2020
    • Citations: 6

  6. Title: Static analysis of a concrete gravity dam using the finite element technique

    • Authors: A.S.K. Nallasivam
    • Year: 2023
    • Citations: 5

  7. Title: Static and Free Vibration Response of a Box-Girder Bridge Using the Finite Element Technique

    • Authors: M.F.S. Nallasivam K.
    • Year: 2023
    • Citations: 5

  8. Title: Dynamic response of a box-girder bridge using the finite element technique

    • Authors: M.F. Shaikh, K. Nallasivam
    • Year: 2023
    • Citations: 4

  9. Title: Effective Location of Shear Walls in High-Rise RCC Buildings Subjected to Lateral Loads

    • Authors: K.S. Nallasivam K.
    • Year: 2023
    • Citations: 4

  10. Title: Static response of curved steel thin-walled box-girder bridge subjected to Indian railway loading

  • Authors: V.V.K. Nallasivam
  • Year: 2021
  • Citations: 4
  1. Title: Fatigue life Prediction of Horizontally Curved Thin Walled Box Girder Steel Bridges
  • Authors: K. Nallasivam, S. Talukdar, Anjan Dutta
  • Year: 2008
  • Citations: 4

🔝 Conclusion

Dr. K. Nallasivam’s dedication to advancing artificial intelligence and machine learning has made a profound impact on both academia and industry. His research continues to pave the way for innovations that shape the future of technology, inspiring the next generation of computer scientists.

Suganya | Engineering | Best Researcher Award

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Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
  • Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
  • Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
  • Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
  • Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.

🎓 Education

  • Ph.D. (Computer Science and Engineering)
    • Annamalai University, Tamil Nadu, India
    • Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
  • Master of Engineering (Computer Science and Engineering)
    • MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
  • Bachelor of Engineering (Computer Science and Engineering)
    • Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)

💼 Experience

  • Assistant Professor
    • Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
  • Lecturer
    • Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Ovarian Cyst Classification and Prediction
  • Artificial Intelligence in Healthcare

🏆 Awards

  • Annual Membership in ACM Professional Membership (ID: 5666897)
  • Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
  • Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
  • Coordinated NBA Accreditation Work for the Computer Science Department

📝 Publications

  • Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
    Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
    Year: 2023
    Citations: 17

  • Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 11

  • Title: Classification of medical x-ray images for automated annotation
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 10

  • Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
    Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
    Year: 2021
    Citations: 7

  • Title: Classification of X-rays using statistical moments and SVM
    Authors: S Ganesan, TS Subashini, K Jayalakshmi
    Year: 2014
    Citations: 7

  • Title: An approach toward the efficient indexing and retrieval on medical X-ray images
    Authors: S Ganesan, TS Subashini
    Year: 2013
    Citations: 7

  • Title: A content based approach to medical X-Ray image retrieval using texture features
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 6

  • Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
    Authors: BY Krishna, Y Suganya
    Year: 2011
    Citations: 5

  • Title: Fuzzy based detection and swarm based authenticated routing in MANET
    Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
    Year: 2014
    Citations: 3

  • Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 2

📊 Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.

Zhijian Huang | Oncology | Excellence in Research

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Dr. Zhijian Huang | Oncology | Excellence in Research

Fujian Cancer Hospital | China

Dr. Zhijian Huang is a distinguished Deputy Chief Physician at the Department of Breast Surgical Oncology at Fujian Medical University Cancer Hospital in Fuzhou, China. With extensive expertise in breast cancer treatment and reconstructive surgery, Dr. Huang has contributed significantly to understanding tumor metastasis mechanisms and immunological factors in breast cancer. He is currently expanding his research at Harvard University Beth Israel Deaconess Medical Center, focusing on molecular pathways and predictive models.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Extensive Research Contributions: Dr. Huang has an impressive publication record, with 14 peer-reviewed articles, many in high-impact journals such as Frontiers in Oncology, BMC Cancer, and Biosafety and Health. His research spans crucial areas of breast cancer, including tumor metastasis mechanisms, immune microenvironments, and biomarker discovery.
  • Interdisciplinary Expertise: His skills in bioinformatics, molecular biology techniques (e.g., CRISPR/Cas9 gene editing), and clinical integration set him apart as a versatile researcher capable of bridging computational and experimental oncology.
  • Clinical Impact: Dr. Huang has contributed directly to patient care through advancements in comprehensive breast cancer treatment, breast reconstruction techniques, and real-world studies of therapeutic efficacy.
  • Recognition and Leadership: The two prestigious awards he received in 2023 for his work on artificial intelligence in breast cancer diagnostics and immune microenvironments reflect the impact and recognition of his research in the medical community.
  • International Collaboration: His postdoctoral research at Harvard University’s Beth Israel Deaconess Medical Center adds a global dimension to his work and highlights his active engagement in cutting-edge breast cancer research.

Education 🎓

Dr. Huang earned his Doctor of Medicine (M.D.) in Clinical Medicine from Southern Medical University in Guangzhou, China, in 2022. Prior to that, he completed his Master of Medicine at Fujian Medical University in 2009 and his Bachelor of Medicine at the same institution in 2005.

Experience 💼

Dr. Huang has been serving at Fujian Medical University Cancer Hospital since 2009, performing breast tumor surgeries, comprehensive treatments, and breast reconstructions. From 2016 to 2017, he trained at the Affiliated Cancer Hospital of Xiangya Medical College, focusing on advanced tumor plastic surgery techniques. In 2024, he joined Harvard University Beth Israel Deaconess Medical Center as a Postdoctoral Researcher, delving deeper into breast cancer mechanisms and therapeutic advancements.

Research Interests On Oncology🔬

His research revolves around tumor metastasis mechanisms, breast cancer immunology, and molecular biology techniques. He is skilled in Western blotting, lentiviral packaging, CRISPR/Cas9 gene editing, and developing mouse models. Dr. Huang also specializes in bioinformatics analysis, employing tools like SPSS and GraphPad Prism.

Awards 🏆

  • 2023: Third Prize, Fujian Medical Science and Technology Award for research on ultrasound-assisted artificial intelligence diagnosis of breast cancer, immune microenvironment, and metastatic molecular mechanisms.
  • 2023: Third Prize, Fujian Anti-Cancer Association Science and Technology Award for research on immune microenvironment, metastatic molecular mechanisms of breast cancer, and infusion port clinical applications.

Publications 📚

  • Title: Prognostic and immunological role of cuproptosis-related protein FDX1 in pan-cancer
    Authors: C Xiao, L Yang, L Jin, W Lin, F Zhang, S Huang, Z Huang
    Year: 2022
    Citations: 42

  • Title: Application of oncolytic virus in tumor therapy
    Authors: Z Huang, H Guo, L Lin, S Li, Y Yang, Y Han, W Huang, J Yang
    Year: 2023
    Citations: 29

  • Title: A novel XGBoost method to infer the primary lesion of 20 solid tumor types from gene expression data
    Authors: S Chen, W Zhou, J Tu, J Li, B Wang, X Mo, G Tian, K Lv, Z Huang
    Year: 2021
    Citations: 14

  • Title: miRNA-1260b promotes breast cancer cell migration and invasion by downregulating CCDC134
    Authors: Z Huang, S Zhen, L Jin, J Chen, Y Han, W Lei, F Zhang
    Year: 2023
    Citations: 12

  • Title: A novel framework to predict breast cancer prognosis using immune-associated LncRNAs
    Authors: Z Huang, C Xiao, F Zhang, Z Zhou, L Yu, C Ye, W Huang, N Li
    Year: 2021
    Citations: 12

  • Title: HAUS5 is a potential prognostic biomarker with functional significance in breast cancer
    Authors: Z Huang, J Yang, W Qiu, J Huang, Z Chen, Y Han, C Ye
    Year: 2022
    Citations: 10

  • Title: 肝癌病人术后早期肠内与肠外营养支持治疗的比较
    Authors: 周东, 刘胜, 应敏刚, 黄峰, 吴贤毅, 黄志坚
    Year: 2012
    Citations: 10

  • Title: Comprehensive analysis of immune ferroptosis gene in renal clear cell carcinoma: Prognosis and influence of tumor microenvironment
    Authors: LH Yang, LZ Xu, ZJ Huang, HH Pan, M Wu, QY Wu, T Lu, YP Zhang
    Year: 2022
    Citations: 5

  • Title: A real-world study of the effectiveness and safety of apatinib-based regimens in metastatic triple-negative breast cancer
    Authors: W Huang, C Wang, Y Shen, Q Chen, Z Huang, J Liu, X Lin, L Wang, F Wu
    Year: 2024
    Citations: 4

  • Title: Systematic pan-cancer analysis identifies cGAS as an immunological and prognostic biomarker
    Authors: P Chen, X Yang, P Wang, H He, Y Chen, L Yu, H Fang, F Wang, Z Huang
    Year: 2023
    Citations: 4

Conclusion 🔖

Dr. Zhijian Huang’s illustrious career is marked by a deep commitment to advancing breast cancer treatment through surgical expertise and cutting-edge research. His work continues to shape the future of cancer therapy, bridging molecular insights with clinical applications to improve patient outcomes worldwide.

Mu-Shun Wang | Accounting | Best Researcher Award

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Prof. Dr. Mu-Shun Wang | Accounting | Best Researcher Award

Kainan University | Taiwan

Mu-Shun Wang is a distinguished scholar in the fields of corporate governance, banking efficiency, and financial markets. With an extensive academic career, he has contributed significantly to understanding the dynamics between corporate governance, investment decisions, and firm performance. His research has been widely published in reputable journals, reflecting his dedication to advancing knowledge in financial economics and corporate strategy.

Professional profile👤

ORCID

Scopus

Strengths for the Awards✨

  • Prolific Publication Record: Wang M. has an extensive list of publications spanning over a decade, with multiple papers in high-impact, peer-reviewed journals (e.g., Quality & Quantity, Journal of Business Economics & Management, Emerging Markets Finance & Trade).
  • Diverse Research Topics: His work covers corporate governance, banking efficiency, financial innovation, intellectual capital, and R&D investment, reflecting a broad research focus and adaptability.
  • International Recognition: Many papers are indexed in renowned databases like SSCI, SCI, SCOPUS, EconLit, and ABI, indicating global recognition of his work.
  • Consistent Research Output: Publishing consistently since at least 2011 demonstrates a sustained commitment to research.
  • Interdisciplinary Approach: Combines finance, economics, and management, enriching his research depth and appealing to a wider academic audience.
  • Collaborative Work: Co-authored papers show his ability to collaborate, reflecting teamwork and diverse perspectives in his research.

🎓 Education

Wang M. earned his doctorate in finance, equipping him with a solid foundation in financial analysis and corporate governance. His academic journey has been marked by rigorous training and a focus on applying quantitative methodologies to explore complex financial phenomena.

💼 Experience

Throughout his career, Wang M. has held various academic and research positions, contributing to both teaching and scholarly activities. His experience spans across evaluating banking sector efficiency, corporate governance structures, and the implications of financial innovation. He has also been an active participant in international conferences, presenting groundbreaking research to the global academic community.

🔬 Research Interests On Accounting

Wang M.’s research interests lie in corporate governance, banking efficiency, risk management, and financial innovation. He focuses on understanding how corporate structures impact firm performance and explores advanced econometric models to analyze financial markets.

🏆 Awards

Wang M. has received numerous accolades for his contributions to finance and corporate governance. His work has been recognized for its depth and impact, earning him a reputation as a leading expert in his field.

📓 Publications

Wang M. has authored numerous impactful publications. Notable works include:

  1. Wang, M. (2025). The influence of corporate governance on the volatility of R&D investment: an empirical study on its relationship with firm performance. Quality & Quantity. https://doi.org/10.1007/s11135-025-02081-2 (SSCI, forthcoming)
  2. Liu, L., Wang, M., & Su, Y. (2023). Measuring changes in Chinese banking productivity and profitability. Advances in Management & Applied Economics, 13(5), 1-26. (ABI)
  3. Wang, M. (2022). Shareholder disputes and commonality in liquidity: Evidence from the equity markets in China. Asia-Pacific Financial Markets, 29(2), 291-325. (EconLit, FLI, SCOPUS, NSC, rank B+)
  4. Wang, M., & Lu, S. (2016). Information technology and risk factors for evaluating the banking industry in Taiwan: An application of a value chain DEA. Journal of Business Economics & Management, 16(5), 901-915. (SSCI, IF=1.161)
  5. Wang, M. (2016). Idiosyncratic volatility, executive compensation and corporate governance: Examination of the direct and moderate effects. Review of Managerial Science, 10(2), 213-244. (SSCI, IF=0.845)
  6. Wang, M., & Lu, S. (2017). Can organisation capital improve corporate performance through direct path or mediating effect surveillance of board function: Evidence from Taiwan? Technological and Economic Development of Economy, 23(2), 339-374. (SSCI, IF=3.224)
  7. Wang, M., & Lin, C. (2014). Impact of bank operational efficiency using a three-stage DEA model. International Journal of Risk and Contingency Management, 3(4), 32-50. (INSPEC)
  8. Wang, M. (2014). Financial innovation, BASEL Accord III and the bank value. Emerging Markets Finance & Trade, 50(2), 23-44. (SSCI, Econlit, ABI, SCOPUS, IF=1.19)
  9. Wang, M. (2013). An investigation of the Feldstein-Horioka puzzle for the ASEAN economies. Australian Economic Review, 46(4), 424-443. (SSCI, Econlit, ABI, SCOPUS, IF=0.395)
  10. Wang, M., & Lu, S. (2013). Evaluating the operational efficiency of the banking sector in Taiwan: A two-stage data envelopment analysis approach. Journal of Testing and Evaluation, 42(1), 254-266. (SCI, INSPEC, EI, IF=0.349)
  11. Wang, M. (2012). Income convergence within ASEAN, ASEAN+3: A panel unit root approach. Applied Economic Letters, 19(5), 417-423. (SSCI, ABI, EconLit, NSC rank B)
  12. Wang, M. (2012). CO2 emission, health expenditure and economic growth: Evidence from panel unit root and panel cointegration test. Empirical Economics Letters, 11(8), 861-867. (Econlit)
  13. Wang, M. (2013). Idiosyncratic volatility and the expected stock returns for exploring the relationship with panel threshold regression. Asia Pacific Financial Market, 20(2), 113-129. (SCOPUS, NSC rank B)

📄 Conclusion

Wang M.’s remarkable career stands as a testament to his unwavering commitment to advancing financial knowledge. His contributions have not only enriched academic literature but have also provided valuable insights into corporate governance and financial market dynamics. His scholarly endeavors continue to inspire future research and foster a deeper understanding of global financial systems.

Haotai Xie | Medicine | Best Researcher Award

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Dr. Haotai Xie | Medicine | Best Researcher Award

Peking University First Hospital | China

Dr. Haotai Xie is a dedicated clinician and researcher at Peking University First Hospital, specializing in cardiovascular diseases and bioinformatics. With a passion for advancing precision cardiology, Dr. Xie integrates computational approaches into clinical practice, enhancing diagnostic accuracy and therapeutic strategies. His work spans biomarker discovery, algorithm development, and non-invasive myocardial ischemia evaluation. Dr. Xie has authored seven first-author SCI papers in high-impact journals, contributing significantly to cardiovascular medicine and epigenetics.

Professional profile👤

ORCID

Scopus

Strengths for the Awards✨

  • Academic Productivity: Published seven first-author SCI papers in prestigious journals like Nucleic Acids Research, Briefings in Bioinformatics, and JAHA, accumulating a total impact factor exceeding 40.
  • Innovative Research: Co-developed PhaSepDB and MloDisDB, which have become cornerstone resources in phase separation research, cited in over 50 studies.
  • Interdisciplinary Expertise: Bridges cardiovascular medicine and bioinformatics, applying computational methods to improve diagnostic tools and biomarker discovery, enhancing precision cardiology.
  • Significant Contributions: Pioneered the characterization of cardiovascular phenotypes in Kleefstra syndrome, leading to evidence-based screening protocols, with direct implications for clinical guidelines and rare disease management.
  • Research Impact: Work has advanced the understanding of cardiovascular epigenetics and contributed to earlier diagnosis and more personalized treatment strategies.

🎓 Education

  • Doctorate in Clinical Medicine, Peking University First Hospital, China.

💼 Experience

  • Doctor, Peking University First Hospital.
  • Lead researcher in interdisciplinary projects bridging computational biology and cardiovascular medicine.
  • Co-developed PhaSepDB and MloDisDB, pivotal resources for phase separation research.

🔬 Research Interests On Medicine

  • Cardiovascular Medicine
  • Bioinformatics
  • Precision Cardiology
  • Biomarker Discovery
  • AI-driven Diagnostic Tools

🏆 Awards

  • Recognized for sustained academic productivity and innovation in cardiovascular research.

📓 Publications

  • “Association between urinary sodium excretion and all-cause mortality: a cohort study in a Chinese community-based population”

    • Year: 2025
    • Authors: Haotai Xie, Xinyan Wen, Fangfang Fan, Jia Jia, Yong Huo, Yanjun Gong, Yan Zhang
    • Citations: Not available yet (published recently)

  • “Highlighting cardiovascular manifestations of Kleefstra syndrome: literature review and clinical insights”

    • Year: 2025
    • Authors: Haotai Xie, Pengkang He, Qinhui Sheng, Wei Ma, Yanjun Gong, Yan Zhang, Lin Qiu
    • Citations: Not available yet (published recently)

  • “Rethinking the Functional SYNTAX Score Threshold”

    • Year: 2024
    • Authors: Haotai Xie
    • Citations: Not available yet (upcoming publication)

  • “Research Progress and Clinical Value of Subendocardial Viability Ratio”

    • Year: 2024
    • Authors: Haotai Xie, Lan Gao, Fangfang Fan, Yanjun Gong, Yan Zhang
    • Citations: Not available yet (recent publication)

  • “PhaSepDB in 2022: annotating phase separation-related proteins with droplet states, co-phase separation partners and other experimental information”

    • Year: 2023
    • Authors: Chao Hou, Xinxin Wang, Haotai Xie, Taoyu Chen, Peiyu Zhu, Xiaofeng Xu, Kaiqiang You, Tingting Li
    • Citations: Not specified

  • “Application of B-Type Natriuretic Peptide in Neonatal Diseases”

    • Year: 2021
    • Authors: Haotai Xie, Yixuan Huo, Qinzheng Chen, Xinlin Hou
    • Citations: Not specified

  • “MloDisDB: a manually curated database of the relations between membraneless organelles and diseases”

    • Year: 2021
    • Authors: Chao Hou, Haotai Xie, Yang Fu, Yao Ma, Tingting Li
    • Citations: Not specified

🔔 Conclusion

Dr. Haotai Xie exemplifies the fusion of clinical expertise and computational innovation, driving advancements in cardiovascular medicine. His research has not only deepened the understanding of cardiovascular diseases but also paved the way for precision cardiology. With a robust publication record and interdisciplinary approach, Dr. Xie continues to shape the future of cardiovascular health management through groundbreaking discoveries and technological integration.

Ishita Biswas | Biology | Best Researcher Award

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Dr. Ishita Biswas | Biology | Best Researcher Award

Assistant Professor | S.B.S. Government College, Hili | India

Dr. Ishita Biswas is an esteemed Assistant Professor in Botany at S. B. S. Government College, Hili, West Bengal, India. With a rich academic background in microbiology and plant sciences, she has made remarkable contributions to microbial research and plant biochemistry. Her dedication to advancing scientific knowledge is evident through her extensive research, numerous accolades, and commitment to mentoring young scholars.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • 🌟 Academic Excellence: Dr. Biswas has consistently excelled academically, earning top ranks throughout her educational journey, including a silver medal for securing the second position in her Master of Science in Botany.
  • 📊 Research Contributions: She has published 17 full-length research papers in reputed journals, including Elsevier and MDPI, showcasing a diverse range of research interests from plant biochemistry to microbiology.
  • 🏅 Awards and Recognition: Her achievements include multiple “Best Presenter” and “Outstanding Paper” awards at international conferences, reflecting her ability to effectively communicate research findings.
  • 🧬 GenBank Submissions: Submission of seven gene sequences to NCBI highlights her contributions to genetic research, which is a valuable addition to the scientific community.
  • 👩‍🏫 Professional Involvement: Active participation in academic committees, student welfare initiatives, and administrative roles demonstrates her dedication to institutional development.
  • 🌐 Interdisciplinary Approach: Her research integrates microbiology, biochemistry, and plant physiology, reflecting a multidisciplinary perspective.
  • 📈 Competitive Edge: Qualifying for prestigious exams like UGC JRF-NET, GATE, and SET further underscores her academic rigor and research potential.

Education 🎓

Dr. Biswas’s academic journey began at WBBSE, where she completed her secondary education with distinction. She earned her B.Sc. and M.Sc. in Botany from the University of North Bengal, securing first-class honors. Her quest for knowledge led her to pursue a B.Ed. and ultimately a Ph.D. in Microbiology from Raiganj University in 2024. Additionally, she qualified for prestigious examinations such as UGC JRF-NET, NET-LS, SET, and GATE, showcasing her academic excellence.

Experience 💼

Currently serving as an Assistant Professor at S. B. S. Government College, Hili, Dr. Biswas plays an active role in various academic and administrative committees. She has served as the Convener of the Students’ Welfare & Disciplinary Sub-Committee and Joint Convener of the Routine Sub-Committee and Women Grievance & Redressal Cell. Additionally, she contributes to the External Examination, Sports, Internal Complaint, UGC, and Website Sub-Committees.

Research Interests On Biology 🔬

Dr. Biswas’s research interests lie in plant biochemistry, plant physiology, and microbiology. Her work focuses on microbial interactions, enzyme characterization, and exploring natural methods for environmental remediation. She is particularly passionate about studying plant-microbe interactions and harnessing microbial potential for sustainable agriculture and bioremediation.

Awards 🏆

  • Silver Medal from the Honorable Governor for securing First Class Second Position in M.Sc. Botany, University of North Bengal (2013).
  • “Best Presenter Award” at the 7th Annual International Conference Biospectrum 2023, organized by the University of Engineering and Management, Kolkata, in collaboration with Universiti Sains Malaysia (2023).
  • “Outstanding Paper Award” at the 6th Regional Science & Technology Congress (Region 2) (2023-24).
  • “Best Presenter Award” at the 8th Annual International Conference Biospectrum 2024, organized by the University of Engineering and Management, Kolkata, in collaboration with the University of Iasi, Romania (2024).

Publications 📖

  • Title: Valorization of vermicompost with bacterial fermented chicken feather hydrolysate for the yield improvement of tomato plant: A novel organic combination
    Authors: I Biswas, D Mitra, A Senapati, D Mitra, S Chattaraj, M Ali, G Basak
    Year: 2021
    Citations: 25

  • Title: Bioactive compounds as a potential inhibitor of colorectal cancer; an insilico study of Gallic acid and Pyrogallol
    Authors: D Mitra, A Dey, I Biswas, PK Das Mohapatra
    Year: 2021
    Citations: 23

  • Title: Recent advancement in metabiotics: a consortium with bioactive molecules after fermentation by probiotic bacteria with multidisciplinary application potential and future prospects
    Authors: I Biswas, PKD Mohapatra
    Year: 2023
    Citations: 21

  • Title: Contributions of protein microenvironment in tannase industrial applicability: An in-silico comparative study of pathogenic and non-pathogenic bacterial tannase
    Authors: I Biswas, D Mitra, AK Bandyopadhyay, PKD Mohapatra
    Year: 2020
    Citations: 17

  • Title: Structural and catalytic advancement of fungal tannase: A proteomic contribution in industrial applicability
    Authors: I Biswas, D Mitra, PKD Mohapatra
    Year: 2022
    Citations: 14

  • Title: Concomitant yield optimization of tannase and gallic acid by Bacillus licheniformis KBR6 through submerged fermentation: An industrial approach
    Authors: PKD Mohapatra, I Biswas, KC Mondal, BR Pati
    Year: 2020
    Citations: 12

  • Title: Application of egg shell with fortified vermicompost in Capsicum cultivation: a strategy in waste management
    Authors: I Biswas, D Mitra, D Mitra, S Chattaraj, A Senapati, A Chakraborty
    Year: 2022
    Citations: 10

  • Title: Paraburkholderia tropica PKI7 and Kosakonia arachidis PKI8: Two newly reported tannase producing bacteria isolated from forest soil and study of their tannase producing potential
    Authors: I Biswas, PKDAS Mohapatra
    Year: 2023
    Citations: 6

  • Title: Preparation of metabiotic curd and optimization of tannase and gallic acid production by probiotic Lactiplantibacillus plantarum PKI15
    Authors: I Biswas, JP Soren, PKD Mohapatra
    Year: 2024
    Citations: 5

  • Title: Insilico sequence-structure based analysis of bacterial chromate reductase to unravel enzymatic specificity towards chromium pollution
    Authors: I Biswas, D Mitra
    Year: 2024
    Citations: 4

Conclusion 📊

Dr. Ishita Biswas has made significant strides in the field of botany and microbiology. Her dedication to research and education, coupled with numerous accolades and a strong publication record, highlights her passion for advancing scientific knowledge. She continues to inspire future generations through her teaching and research, leaving an indelible mark in her field.