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

 

 

sushma P | Biotechnology | Best Researcher Award

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Dr. sushma P | Biotechnology | Best Researcher Award

Dr at Techno College of Engineering Agartala India

Dr. Sushma P is an accomplished ICMR Senior Research Fellow at JSS Academy of Higher Education & Research, Mysuru, specializing in bioinformatics and drug discovery. With a strong foundation in statistical computing and bioinformatics tools like R, she excels in analyzing complex datasets. Her expertise extends to molecular modeling and dynamics simulations for structure-based drug design. Dr. Sushma P has received accolades including Best Paper and Poster Presentations at prestigious conferences. She holds research grants, including an ICMR-SRF, focusing on Alzheimer’s disease therapeutics. Her ability to communicate technical findings and her dedication to innovative research underscore her contributions to biomedical science.

profile:

 

Scholar

 

🎓 Education:

Ph.D. in Life Sciences (Synopsis Submitted) JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2019 – Present. M.Sc. in Bioinformatics JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2017 – May 2019 CGPA: 9.33 (Secured 2nd Rank). B.Sc. in Biotechnology JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA July 2014 – May 2017 CGPA: 9.04 (Secured 2nd Rank)

🔬 Skills & Expertise:

Proficient in analyzing and interpreting complex data sets using bioinformatics tools. Statistical computing using Excel, SPSS, and R software; familiarity with basic statistical methodologies. Hands-on experience with molecular modeling, molecular dynamics simulations, and structure-based drug design. Freelance work in research, literature review, book chapters, and thesis writing. Basic programming skills in C, Python, and PERL. Strong interpersonal skills for effective communication with technical and non-technical audiences.

🔍 Research Experience:

ICMR-Senior Research Fellowship Indian Council for Medical Research, Delhi, India November 2022 – Present. JSS University Research Fellowship JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA February 2021 – January 2022. Karnataka Ph.D. Fellowship Backward Classes Welfare Department, Karnataka State Government July 2019 – January 2021

🏆 Awards & Achievements:

Best Paper Presentation at Annual KVRSS Research Awards (September 2023)., Young Women Scientist at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at IEEE B-HTC 2023 (March 2023).

🎓 Research Grants Awarded:

ICMR-SRF (18.64 Lakhs) for 3 years (from November 2022) Project: Identification of Novel Therapeutic Lead Molecules through Green Chemistry Approach against Aβ induced mice model of Alzheimer’s Disease. JSS AHER Grant (0.25 Lakhs) for 1 year (October 2020 – October 2021) Project: A prospective study of synergistic effect of combination therapy of FDA approved drugs and in silico characterization against Alzheimer’s disease.

Publication:📝

    • Title: IoT for promoting agriculture 4.0: a review from the perspective of weather monitoring, yield prediction, security of WSN protocols, and hardware cost analysis
      Authors: P Majumdar, S Mitra, D Bhattacharya
      Journal: Journal of Biosystems Engineering
      Year: 2021
      Volume: 46
      Issue: 4
      Pages: 440-461
      Citations: 21
    • Title: Application of green IoT in agriculture 4.0 and beyond: Requirements, challenges and research trends in the era of 5G, LPWANs and Internet of UAV Things
      Authors: P Majumdar, D Bhattacharya, S Mitra, B Bhushan
      Journal: Wireless Personal Communications
      Year: 2023
      Volume: 131
      Issue: 3
      Pages: 1767-1816
      Citations: 13
    • Title: IoT and machine learning‐based approaches for real time environment parameters monitoring in agriculture: an empirical review
      Authors: P Majumdar, S Mitra
      Book: Agricultural Informatics: Automation Using the IoT and Machine Learning
      Year: 2021
      Pages: 89-115
      Citations: 9
    • Title: Detection of Inflammation from temperature profile using Arthritis knee joint Datasets
      Authors: P Majumdar, K Das, N Nath, MK Bhowmik
      Conference: 2018 IEEE International Conference on Healthcare Informatics (ICHI)
      Year: 2018
      Pages: 409-411
      Citations: 7
    • Title: Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
      Authors: P Majumdar, D Bhattacharya, S Mitra
      Journal: Theoretical and Applied Climatology
      Year: 2023
      Volume: 153
      Issue: 1
      Pages: 649-673
      Citations: 4
    • Title: Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement
      Authors: P Majumdar, D Bhattacharya, S Mitra, R Solgi, D Oliva, B Bhusan
      Journal: Paddy and Water Environment
      Year: 2023
      Volume: 21
      Issue: 2
      Pages: 275-293
      Citations: 4
    • Title: Honey badger algorithm using lens opposition based learning and local search algorithm
      Authors: P Majumdar, S Mitra, D Bhattacharya
      Journal: Evolving Systems
      Year: 2024
      Volume: 15
      Issue: 2
      Pages: 335-360
      Citations: 2
    • Title: Support Vector Machines for the Classification of Remote Sensing Images: A Review
      Authors: P Majumdar, S Dey, S Bardhan, S Mitra
      Book: Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
      Year: 2022
      Citations: 2

Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

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Mr. Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

MohammadSadeq Mottaqi is a dedicated Ph.D. candidate in Biochemistry at the City University of New York, with a strong foundation in Biotechnology from the University of Tehran. He possesses a robust skill set in Python, R, and various bioinformatics tools. His research focuses on machine learning-based drug action prediction, molecular dynamics simulations, and protein-ligand interactions. He has contributed significantly to research projects at Hunter College and Weill Cornell Medicine, and has industry experience as an R&D intern. MohammadSadeq is a published author, with works in journals like the Journal of Environmental Management and Informatics in Medicine Unlocked.

Profile

Orcid

Scholar

Education🎓

City University of New York, the Graduate Center, New York, NY PhD in Biochemistry, Computer Science Department
Aug 2022 – Present. University of Tehran, Tehran, Iran B.Sc. in Biotechnology, GPA: 3.8 (top 15%) Sep 2017 – March 2022

 Technical Skills💻

Programming Languages: Python, R, Bioinformatics Tools and Libraries: PyMol, MOE, Gromacs, Spss, Unity, Scikit-learn, Data Analysis: Transcriptomics data analysis, Statistical analysis, Data Visualization, Operating Systems: Linux, Unix, Others: High-performance computing

 Relevant Experience 🌟

Machine learning-based prediction methods for drug actions
Prof. Lei Xie lab, Hunter College and Weill Cornell Medicine
June 2023 – Present
Thesis: Deep learning models for chemical-induced differential gene expression and cell viability predictions for de novo drugs and cell lines

  • Resolve challenges in predictive modeling using algorithmic approaches
  • Design pre-processing pipelines for Transcriptomics datasets
  • Integrate disparate Transcriptomics datasets (80 cell-lines) using Python
  • Incorporate multiple diverse labeled and unlabeled OMICS data
  • Contribute to writing manuscript

Molecular dynamics simulations of mutated HER2 protein
Research assistant – Dr. Mateusz Marianski lab, Hunter College
April 2023 – June 2023

  • Investigated coupling reactions and residue interactions in several mutated HER2 proteins
  • Performed molecular dynamics (MD) simulations employing Gromacs
  • Analyzed the data of the MD simulations
  • Presented the interpreted results

Protein-Ligand interactions in docking
Research assistant – Prof. Tom Kurtzman lab, Lehman College
Nov 2022 – Jan 2023

  • Identified the potential molecular interactions between protein pharmacophores and ligands
  • Wrote Python scripts in PyMOL for detection of potential H-bonds and Van der Waals forces

Aral Teb CO. Ltd., Tehran, Iran
R&D Intern
May 2020 – Oct 2020

  • Designed and executed experiments for a bacterial diagnostic kit
  • Converted 3D MRI data into a format compatible with 3D bioprinter
  • Served as a key researcher in the clean room

Virtual reality (VR) project, Iran’s National Elites Foundation
Nov 2020 – Aug 2021

  • Devised 7 biotechnological experiments in VR environments employing Unity software
  • Collaborated with 9 computer scientists and 4 biologists

Publications Top Notes 📝

  • Iman Kianian, Mohammad Sadeq Mottaqi, et al. Automated identification of toxigenic cyanobacterial genera for water quality control purposes, Journal of Environmental Management

 

  • Mohammad Sadeq Mottaqi, et al. Contribution of machine learning approaches in response to SARS-CoV-2 infection, Informatics in Medicine Unlocked, 2021

Annesha Chakraborty| Bioinformatics | Women Researcher Award

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 Dr. Annesha Chakraborty | Bioinformatics | Women Researcher Award

 Dr. SASTRA DEEMED UNIVERSITY

👩‍🔬 A highly motivated Ph.D. candidate at SASTRA Deemed University, specializing in Bioinformatics and Biomolecular Crystallography, with hands-on experience in molecular docking, dynamics, and laboratory techniques. Possessing an M.Sc. in Microbiology and B.Sc. (Hons.) in Microbiology, Chemistry, and Botany, I excel in research and academic achievements. As a Research Intern at MEAB LAB and Lab Tech. Intern at Suraksha Diagnostic Pvt. Ltd., I contributed to multiple publications and gained expertise in DNA/RNA extraction and PCR. Currently engaged in molecular dynamics studies on COVID Mpro, biomass production, and A.baumannii’s efflux pump research. Passionate about advancing scientific knowledge and addressing real-world challenges.🌟

 

Profile

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Scholar

 

🎓 Education

Doctor of Philosophy (2023-Ongoing) SASTRA Deemed University, India Bioinformatics Center and Biomolecular Crystallography Lab, under the supervision of Dr. S. Thamotharan and co-supervision of Dr. Vigneshwer R. Currently pursuing research funded by DBT-govt. of India. M.Sc in Microbiology (2020-2022) Grade: A+ (80%) [Ranked 4th] B.Sc (Hons.) in Microbiology (2017-2020) Optional subjects: Chemistry and Botany Grade: B+ 12th (High School) (2015-2017) Science stream

🔬 Key Skills

  • Molecular Docking
  • Molecular Dynamics
  • Schrodinger
  • Pymol
  • MegaAUTODOCK
  • Agarose Gel Electrophoresis
  • ELISA
  • qPCR
  • RT-PCR
  • Flow Cytometry
  • Online tools for nucleic acid or protein sequence-based analysis (Expasy, Clustal Omega, NCBI)

💼 Work Experience

Research Intern at MEAB LAB (08/2021-09/2022) JIS University (Hybrid mode) Responsibilities: Worked on current research projects with PhD scholars as a Project Associate Intern. Co-authored 3 review articles and 1 book chapter, and contributed to 3 research projects. Previously worked here for Master’s thesis paper. Lab Tech Intern at Suraksha Diagnostic Pvt. Ltd. (12.08.2022-24.08.2022) Responsibilities: Conducted DNA and RNA extraction for PCR to detect HLA, hepatitis B, hepatitis C, and Covid-19 virus. Performed RT-PCR and real-time PCR to detect RNA and DNA viruses.

Publications Top Notes 📝

  1. Title: Lignocellulolytic Microbial Systems and its Importance in Dye Decolourization: A Review

 

  1. Title: Microbial electrolysis cells for effective biohydrogen biogenesis from biowastes

 

  1. Title: Algae educed industrial enzymes production: a sustainable way forward?
    • Book: Industrial Microbiology
    • ISBN: 978-93-5461-997-7
    • Publisher: Astral International Pvt. Ltd. (Scopus)

Diana Samodova| Proteomics

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Dr Diana Samodova: Leading Researcher in Proteomics

👨‍🏫  Diana Samodova, an Dr at the University of Copenhagen, Novo Nordisk Foundation Center for Basic Metabolic Research, Denmark. stands as a distinguished academic and researcher in the Biochemistry.

Diana Samodova, a dedicated researcher, has traversed the intricate landscapes of molecular biology and proteomics to unravel the mysteries held within ancient proteins. Her academic odyssey commenced at the University of Latvia, where she earned a Bachelor’s in Natural Sciences and delved into the photostability of nitrofurazone.

Driven by curiosity, Diana pursued a Master of Sciences in Chemistry, investigating antiradical activity kinetics in antibacterial plant extracts. This academic foundation laid the groundwork for her Ph.D. journey at the University of Copenhagen, focusing on “Mass spectrometry technology for palaeoproteomics.

🌐 Professional Profiles:

 

🎓 Educational Pursuits:

  • Ph.D. Thesis: Mastery of mass spectrometry techniques for palaeoproteomics.
  • Master’s Thesis: Probing antiradical activities in diverse antibacterial plant extracts.

🔍 Research & Expertise: Diana’s expertise spans bottom-up proteomics, peptidomics, metaproteomics, and multi-enzymatic digestion. Her postdoctoral role at the University of Copenhagen expanded her horizons into scientific project management, LC-MS/MS analysis, and exploring various software applications.

📚 Noteworthy Contributions: Her contributions extend beyond the lab bench; Diana’s research has graced prestigious journals. Notable publications include elucidating the oral microbiota in type-2-diabetes, muscle fiber heterogeneity, and even ancient enamel proteome sequences, shedding light on early primate species.

🏆 Scholarly Achievements: Recipient of esteemed scholarships like the Marie Curie ETN and EEA/Norway Grants, Diana has furthered her research while fostering international cooperation and knowledge transfer.

🌐 Outreach & Engagement: Beyond academia, Diana co-organized scientific symposiums, engaging with diverse audiences through laboratory experiments, hands-on activities, and scientific micro-talks, inspiring the next generation of scientists.

🔬🌟 Future Exploration: Armed with a rich tapestry of proteomic expertise, Diana Samodova continues her scientific journey, unraveling the secrets held within ancient proteins, and advancing the frontiers of molecular research.

Top Noted Publication:

Early Pleistocene enamel proteome from Dmanisi resolves Stephanorhinus phylogeny Published on 2019/10/3 Cited by 138

Enamel proteome shows that Gigantopithecus was an early diverging pongine Published on 2019/12/12 Cited by 98

Palaeoproteomic profiling of conservation layers on a 14th century Italian wall painting Published on 2018/6/18 Cited by 93

Chemical composition analysis, antimicrobial activity and cytotoxicity screening of moss extracts (moss phytochemistry) Published on 2015/9/18 Cited by 87

ProAlanase is an effective alternative to trypsin for proteomics applications and disulfide bond mapping Published on 2020/12/1 Cited by 24

Multi-technique approach for qualitative and quantitative characterization of furazidin degradation kinetics under alkaline conditions Published on Cited by 9

Anti-Bacterial Activity and Online HPLC-DPPH Based Antiradical Kinetics of Medicinal Plant Extracts of High Relevance for Cosmetics Production Published on 2018/3/5 Cited by 7

Structure and stability of racemic and enantiopure pimobendan monohydrates: on the phenomenon of unusually high stability Published on 2017/4/5 Cited by 7

Chemical characterization and in vitro evaluation of birch sap and a complex of plant extracts for potential use in cosmetic anti-ageing products. Published on 2017/1/1 Cited by 3

Rugged large volume injection for sensitive capillary LC-MS environmental monitoring Published on 2017/8/28 Cited by 2