Anubha Dey | Computational Biology | Best Researcher Award

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Ms. Anubha Dey | Computational Biology | Best Researcher Award

 PHD, University of Hyderabad India

Anubha Dey is a dedicated Ph.D. researcher at the University of Hyderabad with a strong background in computational biology and machine learning. She has contributed significantly to understanding genetic interactions and cancer research through advanced modeling techniques. With a passion for teaching and mentoring, Anubha aspires to inspire future leaders in scientific innovation.

Professional Profile 

Scopus

Scholar

🎓Education

Ph.D. (Pursuing), University of Hyderabad, 2019-present. Master of Technology, Anna University, 2017-2019. Bachelor of Technology, Maulana Abul Kalam Azad University of Technology, West Bengal

💼Experience

Researcher: Developing machine learning models for cancer biology and genetic interactions. Assistant System Engineer-Trainee, Tata Consultancy Services, 2016-2017. Presented findings at renowned conferences like ICGA and CSHL

🏆Award and Honor

Best Oral Presentation, BioAnveshna 2024. Best Poster Presentation, International Cancer Symposium 2022. Selected for HySci 2024 Oral Talk, IIT Hyderabad. Qualified JEST 2019, a prestigious entrance test

🔬 Research Focus

Machine learning in genetic interaction prediction. Synthetic lethal interactions in cancer. Transcript complexity and RNA splicing. Chromatin loop dynamics and epigenetics

Publications Top Noted

  • Title: Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features
    Year: 2023
    Authors: ML Bond, ES Davis, IY Quiroga, A Dey, M Kiran, MI Love, H Won
    Citation: Genome Research 33 (8), 1258-1268

 

  • Title: Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouse
    Year: 2023
    Authors: K Basu, A Dey, M Kiran
    Citation: RNA Biology 20 (1), 563-572

 

  • Title: MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network
    Year: 2024
    Authors: A Dey, S Mudunuri, M Kiran
    Citation: PLOS Computational Biology 20 (8), e1012336

 

  • Title: CaTCH: Calculating transcript complexity of human genes
    Year: 2024
    Authors: K Koushiki Basu, Anubha Dey
    Citation: Methodx

 

 

Alina Urnikyte | Evolution | Best Researcher Award

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Dr. Alina Urnikyte | Evolution | Best Researcher Award

👨‍🏫Profile Summary

Alina Urnikytė, PhD, is a seasoned researcher and associate professor specializing in Medical Genetics. With a Master’s degree from Vilnius University and extensive experience in human population genetics, her work focuses on evolutionary forces and genetic structure. As a senior researcher at Vilnius University, she delves into the complexities of the Lithuanian genome, exploring topics such as archaic introgression and genomic signatures of selection. A member of prestigious scientific societies, including the European Society of Human Genetics, her contributions have been recognized with awards and nominations. Through teaching and supervising, she continues to shape the field of genetics, bridging academia with public understanding through media engagement.

🌐 Professional Profiles

 

 

Education, Experience, and Academic Achievements 🎓

I completed my Bachelor’s degree in Biotechnology from the University of Vic, Spain, in 2009. Following this, I pursued a Master’s degree in Medical Genetics at Vilnius University in 2014, and later obtained a PhD in Biomedical Sciences from the same institution in 2018. Subsequently, I embarked on a post-doctoral fellowship in 2023. Throughout my career, I’ve been affiliated with Vilnius University Medical Faculty since 2009. My research interests primarily revolve around human genome variation, population genetics, natural selection, next-generation sequencing, and genomic data analysis. I further honed my expertise through traineeships at various esteemed institutions, including Universitat Pompeu Fabra in Barcelona, Latvian Biomedical Research and Study Centre in Riga, and University of Szczecin, Poland. Over the past five years, I’ve led two successful projects and currently serve as a principal investigator on an ongoing project. My contributions have been recognized through presentations at international conferences and numerous ISI publications. Notably, in 2022, I was nominated for the “Discovery of the Year” award for my analysis of the Lithuanian genome.

Contribution to Research & Development 🔬

My research focuses on genetic variations and human population studies, particularly in Northeastern European populations like Lithuania. By leveraging whole-genome sequencing data, I’ve identified introgressed Neanderthal segments in Lithuanians, candidate genetic regions under positive selection, and immune-related genes relevant to viral interactions. These findings offer valuable insights into our evolutionary history and adaptation, shedding light on present-day susceptibility and responses to infections. Notably, I spearheaded the sequencing of 75 Lithuanian genomes, a milestone in our country’s research landscape. This work not only enriches our understanding of human evolution but also holds implications for medical research, personalized medicine, and population health. Through my contributions, I aim to advance the fields of genetics, genomics, and population genetics, ultimately contributing to broader scientific and healthcare advancements.

📚Top Noted Publication

  1. Title: Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data
    • Authors: A Urnikyte, A Flores-Bello, M Mondal, A Molyte, D Comas, F Calafell, …
    • Journal: Scientific reports
    • Volume: 9
    • Issue: 1
    • Pages: 9163
    • Year: 2019
    • DOI: 10.3390/cancers13112599

 

  1. Title: CNV analysis in the Lithuanian population
    • Authors: A Urnikyte, I Domarkiene, S Stoma, L Ambrozaityte, I Uktveryte, …
    • Journal: BMC genetics
    • Volume: 17
    • Pages: 1-8
    • Year: 2016

 

  1. Title: Recent effective population size estimated from segments of identity by descent in the Lithuanian population
    • Authors: A Urnikytė, A Molytė, V Kučinskas
    • Journal: Anthropological science
    • Volume: 125
    • Issue: 2
    • Pages: 53-58
    • Year: 2017

 

  1. Title: Inherited and de novo variation in Lithuanian genomes: Introduction to the analysis of the generational shift
    • Authors: A Urnikyte, L Pranckeniene, I Domarkiene, S Dauengauer-Kirliene, …
    • Journal: Genes
    • Volume: 13
    • Issue: 4
    • Pages: 569
    • Year: 2022

 

  1. Title: Genome-wide landscape of north-eastern european populations: a view from Lithuania
    • Authors: A Urnikyte, A Molyte, V Kučinskas
    • Journal: Genes
    • Volume: 12
    • Issue: 11
    • Pages: 1730
    • Year: 2021

 

  1. Title: Inferring effective population size and divergence time in the lithuanian population according to high-density genotyping data
    • Authors: A Urnikytė, A Molytė, E Pranckevičienė, ZA Kučinskienė, V Kučinskas
    • Journal: Genes
    • Volume: 11
    • Issue: 3
    • Pages: 293
    • Year: 2020

Subhashree Choudhury |Optimisation Techniques | Best Researcher Award

Published on by Young Scientists Awards

 Dr. Subhashree Choudhury | Optimisation Techniques | Best Researcher Award

👨‍🏫Profile Summary

Highly accomplished Electrical Engineer with a Ph.D. from Siksha ‘O’ Anusandhan (Deemed to be University) and extensive teaching experience spanning over 12 years. Specializing in Power Electronics, Microgrid Control, and FACTS Control, with notable achievements including being a Branch Topper in Ph.D. and a Gold Medalist in M.Tech. Currently serving as an Associate Professor at Siksha ‘O’ Anusandhan, actively contributing to academic and administrative activities. Adept in research, curriculum design, and leadership roles, with a proven track record of academic excellence and innovation in electrical engineering education.

🌐 Professional Profiles

🎓 Educational Qualifications:

 

Ph.D. in Electrical Engineering Institute of Technical Education & Research/Siksha ‘O’ Anusandhan (Deemed to be University) Year of Passing: 2017 Percentage of Marks/CGPA: 9.16 (Branch Topper) Class/Division: 1st M. Tech. in Power Electronics and Drives Institute of Technical Education & Research/Siksha ‘O’ Anusandhan (Deemed to be University) Year of Passing: 2012 Percentage of Marks/CGPA: 9.23 (Gold Medalist) Class/Division: 1st B. Tech. in Electrical Engineering Gandhi Institute of Technological Advancement (GITA) / Biju Patnaik University of Technology (BPUT) Year of Passing: 2009 Percentage of Marks/CGPA: 7.43 Class/Division: 1st XII Class Jyotivihar Junior College / Council of Higher Secondary Education (CHSE) Year of Passing: 2005 Percentage of Marks: 74.56% Class/Division: 1st X Class St. Josephs Convent High School/ Indian Certificate of Secondary Education (ICSE) Year of Passing: 2003 Percentage of Marks: 77.12% Class/Division: 1st Ph.D. Degree Details:  Thesis Title: Power Management in Microgrid through MPPT & Load Sharing Control Research Area: Microgrid Control Date of Submission: 10-04-2017 Date of Award: 21-10-2017 Supervisor(s): Dr. P. K. Rout, ITER, SOA Deemed To Be University M.Tech Degree Details: Dissertation Title: Evolutionary Computational Techniques Applied To Design Of Voltage Source Converter Based Facts Controller Area of Work: FACTS Control Supervisor(s): Prof. P. K. Dash, Dr. P. K. Rout, ITER, SOA Deemed To Be University

👨‍🏫Details of Academic Experience:

Associate Professor at Institute of Technical Education & Research/Siksha ‘O’ Anusandhan (Deemed to be University) from 25-01-2018 to Present (6 years). Assistant Professor at Institute of Technical Education & Research/Siksha ‘O’ Anusandhan (Deemed to be University) from 25-04-2012 to 24-01-2018 (5 years 9 months). Lecturer at Sanjay Memorial Institute of Technology/Biju Patnaik University of Technology (BPUT) from 09-09-2009 to 15-07-2010 (10 months).

👨‍🏫Teaching Experience Details:

Post-Ph.D. Teaching Experience: 6 years, Pre-Ph.D. Teaching Experience: 6 years 7 months, Total Post-Ph.D. Experience: 6 years 4 months, Total Teaching Experience: 12 years 7 months

🏛️Administrative Experience Details:

  • Various administrative roles and responsibilities including committee memberships, conference organization, session chairing, and curriculum design at Siksha ‘O’ Anusandhan (Deemed To be University) and SMIT, BPUT.

📚Top Noted Publication

1. Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and future prospects
Author: S. Choudhury
Journal: Journal of Energy Storage, Elsevier
Volume: 48
Pages: 1-19
Year: 2022

 

2. A comprehensive review on issues, investigations, control and protection trends, technical challenges and future directions for Microgrid technology
Author: S. Choudhury
Journal: International Transactions on Electrical Energy Systems
Volume: 89
Pages: 1-16
Year: 2020

 

3. Flywheel energy storage systems: A critical review on technologies, applications, and future prospects
Author: S. Choudhury
Journal: International Transactions on Electrical Energy Systems
Volume: 73
Pages: 1-26
Year: 2021

 

4. Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects
Authors: S. Choudhury, M. Bajaj, T. Dash, S. Kamel, F. Jurado
Journal: Energies, MDPI
Volume: 14
Issue: 18
Pages: 1-47
Year: 2021

 

5. A novel control approach based on hybrid Fuzzy Logic and Seeker Optimization for optimal energy management between micro-sources and supercapacitor in an islanded Microgrid
Authors: S. Choudhury, TP Dash, P Bhowmik, PK Rout
Journal: Journal of King Saud University-Engineering Sciences
Volume: 32
Issue: 1
Pages: 27-41
Year: 2020

 

6. Economic load sharing in a D-STATCOM integrated islanded microgrid based on fuzzy logic and seeker optimization approach
Authors: S. Choudhury, P. Bhowmik, PK Rout
Journal: Sustainable cities and society
Volume: 37
Pages: 57-69
Year: 2018

 

7. Adaptive fuzzy logic based MPPT control for PV system under partial shading condition
Authors: S. Choudhury, PK Rout
Journal: International Journal of Renewable Energy Research
Volume: 5
Issue: 4
Pages: 1252-1263
Year: 2015

 

8. Seeker optimization approach to dynamic PI based virtual impedance drooping for economic load sharing between PV and SOFC in an islanded microgrid
Authors: S. Choudhury, P. Bhowmik, PK Rout
Journal: Sustainable cities and society
Volume: 37
Pages: 550-562
Year: 2018

 

9. Future Wireless Communication Technology towards 6G IoT: An Application-Based Analysis of IoT in Real-Time Location Monitoring of Employees Inside Underground Mines by Using BLE
Authors: SK Pattnaik, SR Samal, S Bandopadhaya, K Swain, S Choudhury, JK Das
Journal: Sensors, MDPI
Volume: 22
Issue: 9
Pages: 1-30
Year: 2022

 

10. Improving voltage profile and reducing power losses based on reconfiguration and optimal placement of UPQC in the network by considering system reliability indices
Authors: M Dashtdar, M Bajaj, SMS Hosseinimoghadam, I sami, S Choudhury
Journal: International Transactions of Electrical Energy System, Wiley
Volume: 13120
Pages: e13120
Year: 2021

 

11. Robust dynamic fuzzy-based enhanced VPD/FQB controller for load sharing in microgrid with distributed generators
Authors: S. Choudhury, P. Bhowmik, PK Rout
Journal: Electrical Engineering
Volume: 100
Issue: 4
Pages: 2457-2472
Year: 2018

 

12. Harmonic Profile Enhancement of Grid Connected Fuel Cell through Cascaded H-Bridge Multi-Level Inverter and Improved Squirrel Search Optimization Technique
Authors: S. Choudhury, SK Acharya, RK Khadanga, S Mohanty, J Arshad
Journal: Energies, MDPI
Volume: 14
Issue: 23
Pages: 1-20
Year: 2021