Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

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Prof Dr. Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

Prof Dr. Venkata Lakshmi,VIT-AP University, Andhra Pradesh,India

Prof. Dr. Venkata Lakshmi is a distinguished academician and researcher at VIT-AP University in Andhra Pradesh, India. With a strong background in her field, she has made significant contributions to research and education, mentoring students and collaborating on innovative projects. Her work is recognized both nationally and internationally, making her a prominent figure in her academic community.

Summary:

Prof. Dr. Venkata Lakshmi is a highly qualified candidate with a robust academic background, significant teaching experience, and a strong record of mentoring PhD students. Her dual PhDs in CSE and Mathematics, coupled with over 25 years of academic service, make her a strong contender for the Best Researcher Award. She has demonstrated a commitment to both teaching and research, with recognized achievements in both areas.

Professional Profiles:

Orcid

🎓 Education :

With an impressive academic background, the candidate holds two PhDs—one in Computer Science and Engineering (CSE) from Vellore Institute of Technology University, Chennai Campus (2023), and another in Mathematics from Central University of Hyderabad (2008). Additionally, they completed an MTech in CSE from Acharya Nagarjuna University, Guntur (2010), and an M.Phil. in Mathematics from Central University of Hyderabad (1994-1995). Their educational journey began with a B.Sc. in Mathematics, Physics, and Chemistry (M.P.C) from Acharya Nagarjuna University (1988-1991), followed by an M.Sc. in Mathematics, where they secured the University Second Rank (1991-1993).

🏢Teaching Experience:

The candidate has accumulated over two decades of teaching experience in various academic roles. They began their teaching career as a Lecturer in the Department of Mathematics at Bapatla College for Women (1993-1994) and Bapatla College of Arts and Sciences (1995-1996). They then served at Bapatla Engineering College, first as a Lecturer (1996-2008) and later as an Associate Professor (2008-2009). From 2009 to 2019, they held the position of Vice-Principal at Bapatla Women’s Engineering College, while on deputation from Bapatla Engineering College. The candidate returned to Bapatla Engineering College as an Associate Professor (2019-2021) before transitioning to their current role as a Professor at the School of Computer Science and Engineering, VIT AP University, Andhra Pradesh, since June 2021.

🛠️Skills:

The candidate possesses a diverse skill set, including expertise in Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their research and teaching proficiency span both Mathematics and Computer Science, with a strong foundation in both theoretical and applied aspects of these fields.

🔬Awards and Achievements:

Throughout their career, the candidate has been recognized for their academic excellence and contributions to research. Notably, they received the Research Award for Publications in Engineering & Advanced Sciences in the academic year 2023-24. Their achievements also include a Silver Medal for outstanding performance in Mathematics during their B.Sc., the Mathematical Sciences Trust Society Prize for securing the top position in M.Sc. (Pure Mathematics) at the University of Hyderabad in 1992, and a Silver Medal for securing the third rank in the Mathematical Olympiad at the postgraduate level, sponsored by the Andhra Pradesh Association of Mathematics Teachers in 1992.

Research Focus:

The candidate’s research focus spans across multiple areas, including Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their PhD dissertations reflect their deep engagement with these subjects, with their Mathematics dissertation titled “On Vector Valued Amalgam Spaces” and their CSE dissertation titled “Self-replicability of Graphs through Graph Reproduction System.”

Conclusion:

Prof. Dr. Venkata Lakshmi is well-suited for the Best Researcher Award, particularly given her multidisciplinary expertise and extensive teaching and mentorship experience. However, enhancing her publication record with more detailed metrics, expanding interdisciplinary research efforts, and increasing international exposure could further solidify her standing as an outstanding researcher. With these improvements, she would not only be a deserving recipient but also a model researcher with global impact.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Xiao Jiang | Medical | Best Researcher Award

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 Dr.Xiao Jiang | Medical | Best Researcher Award

 Dr. Xiao Jiang, Liaocheng University,China

Dr. Xiao Jiang is a distinguished academic at Liaocheng University, China, where he specializes in With a robustDr. Jiang has made significant contributions to [mention notable research, publications, or projects]. His work is recognized for advancing understanding in His research continues to influence

Summary:

Dr. Xiao Jiang is a promising candidate for the Best Researcher Award, with a strong academic background and an impressive portfolio of research achievements. His work in developing innovative methods for brain network analysis and cognitive impairment identification stands out for its technical sophistication and contribution to the field. His leadership in securing and managing significant research projects further demonstrates his capabilities as a researcher.

Professional Profiles:

Scopus

🎓 Education :

Xiao Jiang earned his Ph.D. in Computer Science and Mathematics from the University of Camerino, Italy (October 2020 – June 2024). Prior to that, he completed his Master’s in System Science at Liaocheng University (September 2016 – June 2019) and his Bachelor’s in Mathematics and Applied Mathematics at the same institution (September 2012 – June 2016).

🏢Research Projects:

Brain Function Data Visualization and Classification Learning: Funded by the National Natural Science Foundation of China (Project Approval Number: 62176112, January 2022 – December 2025).,High-Order Regularization Framework for Functional Brain Image Learning and Its Application Research: Funded by the National Natural Science Foundation of China (Project Approval Number: 61976110, January 2020 – December 2023).

🛠️Research Achievements:

Jiang, X., Zhang, L., Qiao, L., Shen, D. (2020). “Estimating Functional Connectivity Networks via Low-rank Tensor Approximation with Applications to MCI Identification.” IEEE Transactions on Biomedical Engineering, 67(7), 1912-1920.,Jiang, X., Qiao, L., De Leone, R., Shen, D. (2022). “Joint Selection of Brain Network Nodes and Edges for MCI Identification.” Computer Methods and Programs in Biomedicine, 225, 107082.,Jiang, X., Wang, G., Zhang, L., Xi, X., De Leone, R., Qiao, L. (2024). “Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment.” Biomedical Signal Processing and Control, 98, 106766.,Jiang, X., Zhou, Y., Zhang, Y., Zhang, L., Qiao, L., De Leone, R. (2022). “Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification.” Frontiers in Neuroscience, 16, 872848.

🔬 Research Focus:

Xiao Jiang’s research interests lie at the intersection of Medical Image Analysis, Graph Data Mining, and Machine Learning Applications. His work predominantly explores innovative approaches to functional connectivity networks, brain network analysis, and cognitive impairment identification. Notable projects include estimating functional brain networks for MCI identification and developing label-guided low-rank approximations for brain network learning.

Conclusion:

Given Dr. Jiang’s outstanding research achievements, his technical expertise, and his contribution to advancing the understanding of brain functionality and cognitive disorders, he is a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, expanding the interdisciplinary and practical applications of his research would enhance his impact in both the academic and clinical communities.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Shahina Akter| Bioinformatics Award | Women Researcher Award

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Dr.Shahina Akter|Bioinformatics Award | Women Researcher Award

Dr.Shahina Akter ,Bangladesh Council of Scientific and Industrial Research,Bangladesh

Dr. Shahina Akter is a prominent figure in the scientific community of Bangladesh, affiliated with the Bangladesh Council of Scientific and Industrial Research (BCSIR). With a profound commitment to advancing scientific research and development, Dr. Akter has contributed significantly to various fields, particularly in the realms of industrial innovation and technology. Her expertise spans across multiple domains, including materials science, biotechnology, and environmental sustainability.

Professional Profiles:

Scopus

Orcid

Education:

  • Ph.D. in Microbiology & Immunology

    Microbiology Department, Dhaka University, 2018,Result Award Achieved: 31 October 2018

  • M.S. in Biotechnology

    Botany Department, Dhaka University, 2001 (held in 2005),Grade: A

  • B.Sc. in Biotechnology

    Botany Department, Dhaka University, 2000 (held in 2003),Grade: A

  • H.S.C. (Science)

    Govt. Begum Badrunnesa Mohila College, 1995,Percentage: 76.10%

  • S.S.C. (Science)

    Dhanmondi Government Girl’s High School, 1993,Percentage: 76.90%

 

Professional Experience:

Bangladesh Council of Scientific and Industrial Research (BCSIR)

Duration: 11 June 2006 to present,Current Position: Principal Scientific Officer from 2019 to present,Senior Scientific Officer at BCSIR from 2011 to 2019,Scientific Officer at BCSIR from 2006 to 20011,More than 17 years of working experience on Molecular Biology,Specialization in Microbiology and Immunology, Molecular Cytogenetics, Plant Tissue Culture, Animal Harvesting and Cell Culture Techniques, Biotechnology, and Bioinformatics.

Job Responsibilities:

Experiment design, execution, and analysis,Liaising and coordinating with the research team for R&D,Writing and editing scientific manuscripts, reports, presentations,Applying for grants, monitoring, evaluation, and report submission,Supervising and providing technical advice to junior lab members and thesis students,Problem recognition, analysis, and solution.

Awards and Recognition:

  • RTFDCS Fellowship from CCSTDS, Chennai, India
  • Bangabandhu Fellowship on Science and Technology

Publications:

  1. Nahian, M., Shahab, M., Mazumder, L. S Akter et al. In silico design of an epitope-based vaccine against PspC in Streptococcus pneumoniae using reverse vaccinology. J Genet Eng Biotechnol 21, 166 (2023). Link
  2. Azam S, Sayem M, Khan S, Martini C, Sarkar MH, Akter S, Goswami B, Sinha SQ, Husain Z. SARS-CoV-2 testing and its role in understanding the evolving landscape of the pandemic in Bangladesh. J Biosci. 2023;48:55. PMID: 38088377.
  3. Sanchita Saha, G M Al Amin, Md Salim Khan, Barna Goswami, Farhana Afroz, Md Ahashan Habib, Akter S, Tanjina Akhtar Banu. “Assessment of antibacterial activity and cytotoxic effects of in vitro and in vivo plant parts of a medicinal plant Gynura procumbens (Lour.) Merr.” Heliyon (SCIE and Scopus Indexed Q1 Journal, IF: 4.), DOI: http://dx.doi.org/10.1016/j.heliyon.2023.e22954
  4. da Silva, M.K.; Campos, D.M.d.O.; Akash, S.; Akter, S.; Yee, L.C.; Fulco, U.L.; Oliveira, J.I.N. Advances of Reverse Vaccinology for mRNA Vaccine Design against SARS-CoV-2: A Review of Methods and Tools. Viruses 2023, 15, 2130. Link
  5. Goswami B, Sarkar MH, Akter S, Banu TA, et al. Emergence of SARS-CoV-2 variant of interest B.1.525 (Eta) in Bangladesh. Biologicals 84 (2023). Link
  6. Sarkar MH, Naser SR, Chowdhury SF, Khan S, Habib A, Akter S, Banu TA et al. M gene targeted qRT‑PCR approach for SARS‑CoV‑2 virus detection. Scientific Reports, (2023) 13:16659, Link
  7. Akter, S*, Oliveira, JI, Barton, C, Sarkar, MH, Shahab, M, Banu, TA, Goswami, B, Osman, E, Uzzaman, MS, Nafisa, T, Molla, MA, Yeasmin, M, Farzana, M, Habib, A, Shaikh, AA, & Khan, S. (2023). Spike protein mutations and structural insights of pangolin lineage B.1.1.25 with implications for viral pathogenicity and ACE2 binding affinity. Scientific Reports, 13(1), 1-19. Link
  8. Shahab M, Akter S*, Sarkar MH, Banu TA, Goswami B, Chowdhury SF, Naser SR, Habib A, Shaikh AA, Saki M, Zheng G, & Khan S. (2023). Computational design of medicinal compounds to inhibit RBD-hACE2 interaction in Omicron variant: Unveiling a vulnerable target site. Informatics in Medicine Unlocked, 40 (2023) 101281. Link
  9. Sarkar MH, Rahman S, Islam R, Rahman A, Islam S, Banu TA, Akter S, Goswami B, Khan S, et al. Comparative Phylogenetic Analysis and Transcriptomic Profiling of Dengue (DENV3 genotype I) Outbreak in 2021 in Bangladesh. Virology Journal (2023) 20:127. doi.org/10.1186/s12985-023-02030-1
  10. Mazumder L, Shahab M, Islam S, Begum M, Nobre J I O, Begum S, and Akter S. An immunoinformatics approach to epitope‑based vaccine design against PspA in Streptococcus pneumoniae. Journal of Genetic Engineering and Biotechnology (2023) 21:57. Link
  11. Banu TA, Akter S, Akter S, Goswami B, Mollaka SR, Momtaz N, Habib A, Amin G, Khan S. Effects of light intensity on in vitro regeneration of Stevia rebaudiana Bertoni, Bacopa Monnieri L. and Solanum tuberosum. Bangladesh J. Bot. 52(1): 53-60, 2023 (March). DOI: https://doi.org/10.3329/bjb.v52i1.65232
  12. Mahmud, A.S.M., Seers, C.A., Shaikh, Md. Ahashan Habib, Akter S et al. A multicenter study reveals dysbiosis in the microbial co-infection and antimicrobial resistance gene profile in the nasopharynx of COVID-19 patients. Sci Rep 13, 4122 (2023). Link
  13. Etminani F, Etminani A, X Hasson SO, Kareem Judi H, Akter S, Saki M. (2023). In silico study of inhibition effects of phytocompounds from four medicinal plants against the Staphylococcus aureus β-lactamase. Informatics in Medicine Unlocked. 37, 2023, 101186. Link
  14. Hoque MN, Rahman MS, Sarkar M.MH, Habib MA, Akter S, Banu TA, et al. (2023). Transcriptome analysis reveals increased abundance and diversity of opportunistic fungal pathogens in nasopharyngeal tract of COVID-19 patients. PLoS ONE 18(1): e0278134. [Link](https://doi. org/10.1371/journal.pone.0278134)
  15. Farooq U; Akter S; Qureshi AQ; Hayaa M. A; Farzana M; Shahab M et al. Arbutin Stabilized Silver Nanoparticles: Synthesis, Characterization, and Its Catalytic Activity against Different Organic Dyes. Catalysts 2022, Volume 12, Issue 12, 1602