Dr. Ankita Srivastava | Neuroscience | Best Researcher Award

Dr. Ankita Srivastava | Neuroscience | Best Researcher Award

Dr. Ankita Srivastava, NYU Grossman Long Island School of Medicine, United States

Dr. Ankita Srivastava is a Research Associate in the Department of Foundations of Medicine at NYU Grossman Long Island School of Medicine. With a strong foundation in life sciences and applied microbiology, she specializes in molecular biology, focusing on the progression of adipocyte insulin resistance and metabolic disorders. Over her career, she has contributed to critical studies in neurodegeneration and cardiovascular diseases, driven by a passion for understanding complex biological mechanisms.

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Dr. Ankita Srivastava’s profile demonstrates strong qualifications for the “Best Researcher Award.” Here is an evaluation based on “Strengths for the Award, Areas for Improvement, and Conclusion”:

Strengths for the Award

Dr. Srivastava holds an impressive educational background with a Ph.D. in Biological Science and postdoctoral experience at prestigious institutions like NYU Grossman Long Island School of Medicine.

She has made significant contributions to understanding metabolic disorders, insulin resistance, and neurodegenerative diseases like Alzheimer’s, evidenced by numerous high-impact publications (PMID: 38004296).

Her collaborative efforts in both molecular biology and clinical research, along with various awards like the CSIR Junior and Senior Research Fellowships, showcase her excellence in research.

Areas for Improvement

While Dr. Srivastava’s research is broad, focusing more on independent leadership roles or securing large grants may enhance her candidacy. A stronger emphasis on presenting her work internationally could increase her global recognition.

Education 🎓

B.Sc. in Life Sciences, M.J.P. Rohilkhand University, U.P., India (07/2008)

M.Sc. in Applied Microbiology and Biotechnology, Banasthali University, India (07/2010)

Ph.D. in Biological Science, CSIR-CDRI, Lucknow, India (09/2017)

Experience 💼

Dr. Srivastava has over a decade of research experience, starting as a CSIR Junior Research Fellow and advancing to her current role at NYU Grossman. She has been involved in groundbreaking research on insulin resistance, obesity, and Alzheimer’s disease, applying her molecular and cell biology expertise to these critical areas.

Research Interests 🔬

Dr. Srivastava’s primary research interests include the molecular mechanisms underlying insulin resistance, obesity, Alzheimer’s disease, and cardiovascular disease. Her focus is on exploring adipose tissue-derived exosomal miRNAs’ role in neurodegeneration and metabolic disorders.

Awards 🏆

CSIR Senior Research Fellowship (2014)

CSIR Junior Research Fellowship (2012)

Qualified CSIR NET-JRF (2011) with All India Rank 59

Topped GATE-2012 (Life Science) with 99.99 percentile (All India Rank 1)

Publication Top Notes 📚

Srivastava A, et al. “Therapeutic Potential of P110 Peptide: New Insights into Treatment of Alzheimer’s Disease.” Life (Basel). 2023. PMID: 38004296

Peltier MR, et al. “Cholesterol Deficiency as a Mechanism for Autism.” J Investig Med. 2024. PMID: 37864505

Reiss AB, et al. “Mitochondria in Alzheimer’s Disease Pathogenesis.” Life (Basel). 2024. PMID: 38398707

Stecker MM, et al. “Amyloid-β Effects on Peripheral Nerve: A New Model System.” Int J Mol Sci. 2023. PMID: 37833938

Godbole S, et al. “Treating Cardiovascular Disease in Rheumatoid Arthritis.” Biomedicines. 2024. PMID: 39062180

 

Conclusion

Dr. Srivastava is highly suitable for the award due to her vast research achievements, multidisciplinary collaborations, and dedication to exploring complex biological mechanisms. Minor improvements in leadership visibility would further strengthen her profile.

D.r Habte Tadesse Likassa | Neuroscience | Best Researcher Award

D.r Habte Tadesse Likassa | Neuroscience | Best Researcher Award

Dr.Habte Tadesse Likassa, Biomedical Image processing, Arizona State University, USA, United States

Dr. Habte Tadesse Likassa, an esteemed researcher in Biomedical Image Processing at Arizona State University, USA, has been honored with the Best Researcher Award in Neuroscience. His pioneering work delves into the intricate realm of analyzing biomedical images to advance our understanding of neurological disorders and treatments. Dr. Likassa’s contributions are marked by innovation and a commitment to unraveling the complexities of the human brain 🧠, utilizing cutting-edge technologies to enhance medical diagnostics and therapies. His accolade underscores his significant impact in merging neuroscience with advanced image processing techniques, promising profound implications for healthcare and scientific advancement globally.

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Educational Background

Dr. Habte Tadesse Likassa completed his academic journey with distinction, culminating in a Ph.D. in Statistics from National Taiwan University of Science & Technology in July 2019. His doctoral research focused on developing innovative robust methods for detecting outliers and handling heavy sparsity in high-dimensional images. Prior to this, he earned a Master’s degree in Statistics from Addis Ababa University in 2011 and a Bachelor’s degree from the University of Gondar in 2008. His coursework included intensive studies in detection and estimation theory, optimization techniques, and machine learning, totaling 24 credit hours. 🎓

Research Interest

Dr. Habte Tadesse Likassa specializes in deep robust algorithms and statistical signal processing, advanced machine learning, modeling, applied and spatial statistics, and optimization techniques. His expertise spans cutting-edge methodologies that enhance algorithmic resilience and accuracy in complex data environments. Dr. Likassa’s work not only advances theoretical frameworks but also applies them practically to solve real-world challenges. His research embodies a synergy of statistical rigor and computational efficiency, crucial in today’s data-driven era 🌐.

Work Experience

Dr. Habte Tadesse Likassa has been instrumental in Ethiopia’s Ministry of Planning and Development since 2020, focusing on GIS and modeling as a consultant. His work spans diverse areas such as water risk modeling with the World Resource Institute, integrating water and climate issues into strategic plans, and researching the economic impacts of initiatives like the Green Legacy using GIS and statistical analysis. He has also contributed significantly to understanding the economic costs of conflicts in northern Ethiopia, using GIS to map conflict hotspots and analyzing inflation and sector-specific damages. His expertise underscores a commitment to informed policymaking and sustainable development 🌍.

Teaching and research experience

Dr. Habte Tadesse Likassa is a seasoned academic with a rich background in statistics and research. His career spans diverse roles including postdoctoral fellowships at the Chinese Academy of Sciences and Federal University of Ceará, Brazil. He has held positions as an assistant professor at Addis Ababa University and Ambo University, where he also served as V/Dean. Dr. Likassa is deeply involved in academia, having delivered numerous courses and training sessions in statistical methods across various universities in Ethiopia. His contributions extend to reviewing for prominent journals and leading research projects, reflecting his commitment to advancing statistical science 📊.

Awards

Dr. Habte Tadesse Likassa is a distinguished scholar recognized for his outstanding achievements on the international stage. His accolades include the prestigious Best Presenter Awards at international conferences in Taiwan, Republic of China, and a full scholarship at National Taiwan University of Science and Technology. Dr. Likassa has also been highly commended for his research presentations at various universities across Ethiopia, including Addis Ababa University, Arba Minch, Dire Dawa, Haromaya, and Werabe Universities, garnering great appreciation. As Principal Investigator, he secured significant funding, notably 800,000 Birr for projects investigating the economic impact of COVID-19 in Ethiopia 🌍🏅.

Publications Top Notes

Factors influencing exclusive breastfeeding practice among under-six months infants in Ethiopia

The impacts of covariates on spatial distribution of corona virus 2019 (COVID-19): what do the data show through ANCOVA and MANCOVA

Robust regression for image alignment via subspace recovery techniques

Modified robust image alignment by sparse and low rank decomposition for highly linearly correlated data

Predictive models on COVID 19: What Africans should do?

Robust Image Recovery via Affine Transformation and  Norm

New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius and L2,1 Norms

New Robust Regularized Shrinkage Regression for High‐Dimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization

New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High …

Binary Logistic Regression Analysis in Assessing and Identifying Factors that Influence the Use of Family Planning: The Case of Ambo Town, Ethiopia