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.

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EducationšŸŽ“

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

Ā Technical SkillsšŸ’»

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

Ā Relevant Experience šŸŒŸ

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, Iranā€™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 šŸ“

  • 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

hyunchul oh | Physical Chemistry | Best Researcher Award

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Assoc Prof Dr. hyunchul oh | Physical Chemistry |Best Researcher Award

Assoc Prof Dr at Ulsan National Institute of Science Technology, South Korea

Hyunchul Oh, Prof. Dr. rer. nat., is an accomplished researcher and academic leader specializing in the field of hydrogen storage and conversion. With a solid academic background from renowned institutions such as the Max Planck Institute for Intelligent Systems and Erlangen-NĆ¼rnberg University, Dr. Oh’s expertise lies in nanoporous materials for hydrogen isotope separation. He currently serves as an Associate Professor at Ulsan National Institute of Science and Technology and holds key roles in international organizations such as the Hydrogen TCP of the International Energy Agency. Dr. Oh’s research contributions, numerous awards, and extensive grant funding reflect his outstanding achievements in advancing the science of hydrogen-based energy solutions.

Profile

  1. Scopus

 

  1. Orcid

 

  1. Scholar

EducationĀ šŸŽ“

Dr. rer. nat. (Ph.D.), Max Planck Institute for Intelligent Systems, Germany (Dr. Michael Hirscher), 10/2010-05/2014. M.Sc. with honors, Erlangen-NĆ¼rnberg University (FAU Erlangen), Germany (Prof. Christoph J. Brabec), 09/2008-09/2010. B.Eng., Korea University of Technology and Education, South Korea, 03/1999-02/2008

šŸ’¼ Professional Experience

Assoc. Professor (tenured), Dept. Chemistry, Ulsan National Institute of Science and Technology, 03/2022-Present. Korea Representative, Hydrogen TCP, International Energy Agency (IEA), 03/2024-Present. Expert, Task40 Energy Storage and Conversion Based on Hydrogen, Hydrogen TCP, IEA, 01/2024-Present. Steering Committee Member, Inorganic Chemistry Division, Korean Chemical Society (KCS), 01/2024-Present. Board Member of Trustees, The Korean Hydrogen and New Energy Society, 01/2023-Present. Associate Editor, Heliyon (Cell Press), 12/2022-02/2024. Assist. Assoc. Professor, Dept. Energy, Gyeongsang National University (GNU), 03/2021-02/2022. Director, Industry-Academic Cooperation Foundation at GNU Division (Chilam), 03/2021-11/2021. Assoc. Research Fellow, Korea Institute of S&T Evaluation and Planning (KISTEP), 09/2014-08/2015. Postdoctoral Fellow, H2 storage group, Max Planck Institute for Intelligent Systems, 05/2014-08/2014. Technical Group Leader, The Korean Scientists & Engineers Association in the FRG, Germany, 09/2011-08/2014. Conference Key Organizer, ‘EU-Korea Conference on Science and Technologyā€™ (EKC2012), Berlin, Germany, 09/2011-08/2012

Scholarships, Fellowships & Awards šŸ†

05/2022: Best oral presentation award in 2022 KMRSā€™s spring meeting, Samcheok, Republic of Korea. 01/2022: Academic awards in GNU, Republic of Korea (cash prize of 0.2 million won). 12/2021: Honored with Commendation from Minister of Science and ICT. 11/2021: Selected as one of the ā€˜2021 National Research and Development Excellence Top 100ā€™. 12/2017, 2020: Academic awards in GNTech, Republic of Korea (cash prize of 1 million won). 11/2020: Best oral presentation award in 2020 KMRS’s fall meeting, Jeju, Republic of Korea. 11/2019: 1st Place of poster award at Asia-Oceania Conference on Neutron Scattering, AOCNS 2019. 12/2016: Best poster award (with Ā£100 cash) at H2FC Researcher Conference held at Belfast, UK. 06/2014: European Cooperation in Science and Technology Trainee Grant for Training Schools (COST-TS-ECOST-TRAINING_SCHOOL – MP1103- 170714-042321). 05/2014-08/2014: Max Planck Postdoctoral fellowship, Germany. 10/2013: Best oral presentation award in 2013 VeKNI’s 40th Anniversary Conference, Essen, Germany (cash prize of $1,000). 08/2012-08/2014: Scholarship from Ilun Science & Technology Foundation, Republic of Korea. 06/2013: European Cooperation in Science and Technology grant for Short Term Scientific Mission (COST-STSM-MP1103-13149). 11/2010-04/2014: Max Planck Doctoral fellowship, Germany. 11/2010-04/2014: Best oral presentation award in 2010 VeKNI’s fall meeting, Essen, Germany. 08/2010-07/2012: Korean Government Scholarship for Overseas Study, Korea Institute of Energy Technology Evaluation and Planning (KETEP), Republic of Korea. 09/2008-08/2010: Korean Provincial Government Scholarship for Overseas Study, Chungcheongnam-do, Republic of Korea

M. Eng. Students Supervised

Jaewoo Park: Ph.D. student, Dept. Chemistry, Ulsan National Institute of Science and Technology (2019). Minji Jung: Ph.D. student, Dept. Chemistry, Ulsan National Institute of Science and Technology (2020)

 

Publications Top Notes šŸ“

  • Nitrogen-rich covalent triazine frameworks as high-performance platforms for selective carbon capture and storage
    • Authors: S Hug, L Stegbauer, H Oh, M Hirscher, BV Lotsch
    • Journal: Chemistry of Materials
    • Year: 2015
    • Volume: 27
    • Issue: 23
    • Pages: 8001-8010
    • Citations: 247

 

  • Comparison of various solā€“gel derived metal oxide layers for inverted organic solar cells
    • Authors: H Oh, J Krantz, I Litzov, T Stubhan, L Pinna, CJ Brabec
    • Journal: Solar Energy Materials and Solar Cells
    • Year: 2011
    • Volume: 95
    • Issue: 8
    • Pages: 2194-2199
    • Citations: 205

 

  • A cryogenically flexible covalent organic framework for efficient hydrogen isotope separation by quantum sieving
    • Authors: H Oh, SB Kalidindi, Y Um, S Bureekaew, R Schmid, RA Fischer, …
    • Journal: Angewandte Chemie International Edition
    • Year: 2013
    • Volume: 52
    • Issue: 50
    • Pages: 13219-13222
    • Citations: 200

 

  • Inverted organic solar cells using a solution processed aluminum-doped zinc oxide buffer layer
    • Authors: T Stubhan, H Oh, L Pinna, J Krantz, I Litzov, CJ Brabec
    • Journal: Organic Electronics
    • Year: 2011
    • Volume: 12
    • Issue: 9
    • Pages: 1539-1543
    • Citations: 187

 

  • A fluorene based covalent triazine framework with high CO 2 and H 2 capture and storage capacities
    • Authors: S Hug, MB Mesch, H Oh, N Popp, M Hirscher, J Senker, BV Lotsch
    • Journal: Journal of Materials Chemistry A
    • Year: 2014
    • Volume: 2
    • Issue: 16
    • Pages: 5928-5936
    • Citations: 179

 

TONIMA NANDY | Physical Chemistry | Best Researcher Award

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Ā Dr. TONIMA NANDY | Plant Pathology | Best Researcher Award

Dr. S.N. Bose National Centre for Basic Sciences, India.

šŸ‘©ā€šŸ”¬ Dr. Tonima Nandy is a highly motivated and accomplished chemist with expertise in spectroscopy, biophysical chemistry, photochemistry, computational chemistry, and molecular dynamics simulation. With a Ph.D. from the Indian Association for the Cultivation of Science, Kolkata, and post-doctoral experience at the S. N. Bose National Centre for Basic Sciences, she has conducted groundbreaking research on amyloid fibril inhibition and photophysical properties of amino acids and DNA. With a strong publication record, teaching experience, and technical proficiency in various analytical techniques and computational tools, she is dedicated to advancing knowledge and innovation in chemistry.šŸŒŸ

 

Profile

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Career Objective:

Passionate about tackling challenging problems in chemistry, I aim to leverage my proactive nature and innovative thinking to successfully accomplish projects. With a great enthusiasm for utilizing advanced teaching methods like e-learning, I strive to increase student interest in the subject.

Academic Qualification :

Ph.D. in Chemistry Institution: Indian Association for the Cultivation of Science, Kolkata Year of Passing: 2022M.Sc. in Chemistry Institution: Rajabazar Science College, University of Calcutta Year of Passing: 2015Marks: 72.90%B.Sc. (Hons.) in Chemistry Institution: Hooghly Womenā€™s College, University of Burdwan Year of Passing: 2013Marks: 68.12%12th Grade Institution: Hooghly Girlsā€™ High School Board: W.B.C.H.S.E. Year of Passing: 2010Percentage: 77.40%10th Grade Institution: Hooghly Girlsā€™ High School Board: W.B.B.S.E. Year of Passing: 2008Percentage: 88.88%

Area of Interests:Ā 

  • Spectroscopy
  • Biophysical Chemistry
  • Photochemistry
  • Computational Chemistry
  • Molecular Dynamics Simulation

Research Profile:

Post-Doctoral Experience:

Institution: S. N. Bose National Centre for Basic Sciences, KolkataProject Title: Single Amino Acid Tryptophan Induced Amyloid Fibril: Search for Specific Inhibitors in Different Complex EnvironmentsMentor: Prof. Ranjit BiswasResearch Highlights: Investigating amyloid fibril formation by tryptophan and searching for inhibitors to treat related disorders.PhD Thesis:

Institution: Indian Association for the Cultivation of Science, Kolkata Title: Understanding Solvation and Photo physical Properties of Canonical and Noncanonical Amino Acids and DNA in Complex Medium upervisor: Prof. Prashant Chandra Singh Research Highlights: Studying fluorine’s role in modifying photo physical properties of amino acids and interactions between DNA and lipids.

Ā Awards for Extra-Curricular Activity:

Stood 1st in the Recitation competition for the 45th celebration of Insurance Week organized by Sales Training Centre, Life Insurance Corporation of India (Howrah Division).Held 3rd rank in Recitation competition organized by Directorate of Field Publicity, Ministry of Information & Broadcasting, Government of India.Secured 2nd position in Recitation competition organized by State Bank of India Local Implementation Committee Cultural Wing Chinsurah.Secured 3rd rank in Recitation competition organized by Nehru Yuva Kendra, Hooghly, West Bengal, Ministry of Human Resource Development, Department of Youth Affairs and Sports, Government of India.Held 2nd rank in Beng. Rhymes competition of the science-based cultural competition organized by Chandannagore Science Club, Hooghly, West Bengal.

 

Publications Top Notes šŸ“

(i) Title: Inhibition of Amyloid Fibrillation of Single Amino Acid Tryptophan by Tannic Acid: An Insight into Targeted Therapy of Hypertryptophanemia Disorder

  • Journal: J. Photochem. Photobiol. A: Chemistry
  • Year: 2024
  • Volume: 453
  • Pages: 115660

 

(ii) Title: Substitution Enables Significant New Decay Channels for a Non-canonical Amino Acid

  • Journal: Phys. Chem. Chem. Phys.
  • Year: 2022
  • Volume: 24
  • Pages: 17695

 

(iii) Title: Photophysical Properties of Noncanonical Amino Acid 7-Fluorotryptophan Sharply Different from Those of Canonical Derivative Tryptophan: Spectroscopic and Quantum Chemical Calculations

  • Journal: J. Phys. Chem. B
  • Year: 2021
  • Volume: 125
  • Issue: 23
  • Pages: 6214ā€“6221

 

(iv) Title: Fluorine Induced Conformational Switching and Modulation in Photophysical Properties of 7-Fluorotryptophan: Spectroscopic, Quantum Chemical Calculation and Molecular Dynamics Simulation Studies

  • Journal: J. Photochem. Photobiol. A
  • Year: 2020
  • Volume: 3-4
  • Pages: 100011

 

(v) Title: Molecular aspects of the role of groove and stacked regions of DNA in binding with lipids: Spectroscopic and docking studies

  • Journal: J. Mol. Liq.
  • Year: 2020
  • Volume: 303
  • Pages: 112672

 

(vi) Title: Solvent Organization around the Noncanonical Part of Tyrosine Modulates its Fluorescence Properties

  • Journal: Phys. Chem. Chem. Phys.
  • Year: 2019
  • Volume: 21
  • Pages: 6042-6050

 

(vii) Title: Understanding the Role of Hydrophobic Terminal in the Hydrogen Bond Network of the Aqueous Mixture of 2,2,2-Trifluoroethanol: IR, Molecular Dynamics, Quantum Chemical as Well as Atoms in Molecules Studies

  • Journal: J. Phys. Chem. B
  • Year: 2018
  • Volume: 122
  • Issue: 25
  • Pages: 6616ā€“6626

 

(viii) Title: Hydrophobic fluorine mediated switching of the hydrogen bonding site as well as orientation of water molecules in the aqueous mixture of monofluoroethanol: IR, molecular dynamics and quantum chemical studies

  • Journal: Phys. Chem. Chem. Phys.
  • Year: 2017
  • Volume: 19
  • Pages: 24667-24677

 

Alessia Annibale | Statistical Physics | Best Researcher Award

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Dr. Alessia Annibale | Statistical Physics | Best Researcher Award

Dr, King’s College London, United Kingdom

šŸ‘©ā€šŸ”¬Dr. Annibale, a Senior Lecturer at Kingā€™s College London, emerged from the esteemed group of Nobel laureate Giorgio Parisi at Sapienza University in Rome. Renowned for her groundbreaking contributions to spin-glasses, complex networks, and nonequilibrium statistical physics, she excels in both theoretical frameworks and practical algorithms. Her recent book, co-authored for Oxford University Press, delves into the intricacies of complex networks theory. With expertise in statistical mechanics, she investigates how network structures impact diverse processes like information processing and epidemic spreading. Dr. Annibale pioneers statistical physics methods in understanding the resilience of parallel information processing in machine learning. Exploring biological information processing systems, she utilizes spin-glasses and neural networks theory to decipher cellular thinking and gene-regulatory networks. Her work, published in esteemed journals and recognized in editorā€™s selections nine times, recently earned her a provisional selection for the Best Researcher Award at the International Young Scientist Awards. Her groundbreaking research on dynamically selected steady states in non-reciprocal networks expands the understanding of disordered systems, bridging equilibrium spin-glasses and dynamical systems theory.šŸŒŸ

Profile

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Scholar

Main Research Themes and Expertise šŸ§ šŸ”¬

  1. Equilibrium Analysis of Complex Systems
    • Investigates processes on networks such as spin models, Kuramoto oscillators, and epidemic spreading.
    • Explores disordered systems including Neural Networks and Spin-glasses, employing supersymmetric approaches.
  2. Non-equilibrium Analysis of Complex Systems
    • Develops methods like Dynamical cavity and Generating functional analysis.
    • Applies Markov models to stochastic trajectories, studying aggregation, fragmentation, and exchange processes.
    • Examines glassy dynamics, coarsening processes, and fluctuation-dissipation violations.
  3. Networks and Graphs
    • Utilizes null models for network characterization and studies network dynamics.
    • Investigates sampling and inference techniques in network analysis.

Education šŸ“š

PhD in Applied Mathematics, King’s College London (UK), 2004-2007 Thesis on fluctuation-dissipation relations and heterogeneities in coarsening systems. MSci in Theoretical Physics, University of Rome (Italy), 1998-2003 Explored the complexity in the Sherrington-Kirkpatrick model using supersymmetric calculations.

Academic Employment šŸ’¼

Senior Lecturer at Kingā€™s College London, with extensive teaching and supervisory roles. Directed and coordinated various academic programs and doctoral training initiatives.

Key Duties

  1. Leadership roles in academic programs and doctoral training initiatives.
  2. Extensive teaching and supervision of undergraduate and postgraduate students.
  3. Involvement in research projects and committees.

Publications Top Notes šŸ“

  1. Title: Immune networks: multitasking capabilities near saturation
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 41
    • Pages: 415003
    • Citations: 76

 

  1. Title: Constrained Markovian dynamics of random graphs
    • Authors: ACC Coolen, A De Martino, A Annibale
    • Journal: Journal of Statistical Physics
    • Year: 2009
    • Volume: 136
    • Pages: 1035-1067
    • Citations: 65

 

  1. Title: Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure
    • Authors: A Annibale, ACC Coolen, LP Fernandes, F Fraternali, J Kleinjung
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2009
    • Volume: 42
    • Issue: 48
    • Pages: 485001
    • Citations: 61

 

  1. Title: Extensive parallel processing on scale-free networks
    • Authors: P Sollich, D Tantari, A Annibale, A Barra
    • Journal: Physical review letters
    • Year: 2014
    • Volume: 113
    • Issue: 23
    • Pages: 238106
    • Citations: 60

 

  1. Title: Immune networks: multi-tasking capabilities at medium load
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 33
    • Pages: 335101
    • Citations: 38

 

  1. Title: Spin, bond and global fluctuationā€“dissipation relations in the non-equilibrium spherical ferromagnet
    • Authors: A Annibale, P Sollich
    • Journal: Journal of Physics A: Mathematical and General
    • Year: 2006
    • Volume: 39
    • Issue: 12
    • Pages: 2853
    • Citations: 36

 

  1. Title: Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods
    • Authors: LP Fernandes, A Annibale, J Kleinjung, ACC Coolen, F Fraternali
    • Journal: PloS one
    • Year: 2010
    • Volume: 5
    • Issue: 8
    • Pages: e12083
    • Citations: 30