Ghasem Sadeghi Bajestani | Computational Modeling | Best Researcher Award

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Ghasem Sadeghi Bajestani | Computational Modeling | Best Researcher Award  🏆

Vice president for Research and Technology at International University of Imam Reza🎓

Ghasem Sadeghi Bajestani is an Assistant Professor of Medical Engineering at Imam Reza International University in Iran. He holds a Ph.D. in Biomedical Engineering from the University of Science Researches in Tehran. His specialization is in cybernetic systems with a particular interest in brain disorders, especially Autism Spectrum Disorder. Through the application of chaos theory, he seeks to bring new insights into the field of neurodevelopmental disorders.

Professional Profile 

🎓 Education

  • He earned his Bachelor of Science in Electronics from Shiraz University in Fars, Iran.
  • He pursued a Master of Science in Bioelectric Engineering at the Islamic Azad University, Science and Research Branch, in Tehran.
  • He completed his Ph.D. in Bioelectric Engineering at Amirkabir University of Technology, Tehran, from 2011 to 2016.
  • Additionally, he earned a Ph.D. in Biomedical Engineering from the Islamic Azad University, Science and Research Branch, Tehran, between 2010 and 2014.

🏢 Work Experience

Currently, Ghasem Sadeghi Bajestani holds the position of Vice President for Research and Technology in Biomedical Engineering at Imam Reza International University. His role includes overseeing and advancing the university’s research initiatives in medical engineering, with a strong emphasis on neuroengineering and cybernetic applications.

🧬 Skills

  • Cybernetics, particularly in biomedical contexts.
  • Application of chaos theory to study complex neurological conditions.
  • Specialized research in Autism Spectrum Disorder.
  • Proficiency in bioelectric engineering and related fields.

Awards and Honors 🏆

🏅 Although specific awards and honors are not listed, Ghasem Sadeghi Bajestani’s contributions to biomedical engineering are demonstrated through his leadership roles and research output, reflecting his recognition within the academic and professional community.

📚 Teaching Experience

📘 As an Assistant Professor at Imam Reza International University, Ghasem Sadeghi Bajestani engages in teaching and mentoring students. His teaching focuses on medical and biomedical engineering, with a particular emphasis on cybernetic systems and their application in neurodevelopmental research.

🔬 Research Focus

Ghasem Sadeghi Bajestani’s research centers around cybernetics and chaos theory applied to the study of brain disorders, especially Autism Spectrum Disorder. His work aims to utilize processing methods derived from chaos theory to explore and better understand the complexities of neurological and neurodevelopmental disorders.

Conclusion 

Overall, Ghasem Sadeghi Bajestani is a strong contender for the Best Researcher Award. His groundbreaking research in cybernetics and chaos theory, particularly in relation to autism, coupled with his leadership role and academic expertise, make him a deserving candidate. With expanded international collaboration and a broader research scope, his already notable contributions could achieve even greater impact. His current achievements, dedication, and innovative research align well with the prestigious recognition offered by this award.

📚 Publilcation 

  • “Mindfulness-Enhancing Instruction (MEI): Contributions to Electroencephalogram (EEG) Dynamics, Higher Order Thinking Skills (HOTS), and Effective Learning”
  • “Diagnosis of Adult ADHD Using EEG Signals Based on the Spectrogram and Convolutional Neural Networks”
  • “The Impact of Blended Mindfulness Intervention (BMI) on University Students’ Sustained Attention, Working Memory, Academic Achievement, and Electroencephalogram (EEG) Asymmetry”
  • “A Generalized Visibility Graph Algorithm for Analyzing Biological Time Series Having Rotation in Polar Plane”
  • “Diagnosis of Autism Spectrum Disorder Based on Complex Network Features”
  • “PSG Dynamic Changes in Methamphetamine Abuse Using Recurrence Quantification Analysis”
  • “A Hierarchical Model for Autism Spectrum Disorder (HMASD)”
    • Year: Not specified
    • Journal: (Journal not specified in provided data)
    • DOI: 10.17795/rijm39107
  • “Cybernetic Approach in Identification of Brain Pattern Variations in Autism Spectrum Disorder”
    • Year: Not specified
    • Journal: (Journal not specified in provided data)
    • DOI: S101623721650006X

Dr Tanmoy Bhattacharya | Computational Modeling | Best Researcher Award

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Dr Tanmoy Bhattacharya |  External Professor | Best Researcher Award🏆

External Professor at Santa Fe Institute,United States🎓

Tanmoy Bhattacharya is a distinguished scientist and researcher, currently holding the position of Scientist 5 and Laboratory Fellow at Los Alamos National Laboratory (LANL) and serving as an External Professor at the Santa Fe Institute. With a career spanning over three decades, Bhattacharya has made significant contributions to physics, computational biology, and microbiology. He is renowned for his interdisciplinary research, leadership in scientific collaborations, and innovations in computational tools that have had a lasting impact on the scientific community.

Professional Profile 

🧑‍🎓Education🎓

Tanmoy Bhattacharya’s academic journey began at the prestigious Indian Institute of Technology (IIT) Kharagpur, where he earned his B.Sc. in Physics in 1982, followed by an M.Sc. in Physics in 1984 under the guidance of Prof. Debabrata Basu. He then pursued his Ph.D. in Physics at the Tata Institute of Fundamental Research in Bombay, India, completing his dissertation on “Tree Unitarity Breakdown in Spontaneously Broken N=1 Supergravity Theories and Phenomenology of a Superlight Gravitino” in 1989 under the mentorship of Prof. Probir Roy.

💼Work Experience

Bhattacharya’s professional career began with post-doctoral fellowships at Brookhaven National Laboratory, Centre de Energie Atomique in Saclay, and Los Alamos National Laboratory (LANL) between 1989 and 1995. He transitioned to a staff role at LANL in 1995 and has been a significant contributor to the laboratory ever since. His roles have evolved from Limited Term Staff Member to Scientist 5 and Laboratory Fellow, reflecting his growing expertise and leadership within the institution. Additionally, he served as a Professor at the Santa Fe Institute from 2006 to 2017 and continues to contribute as an External Professor.

🛠️Skills

Tanmoy Bhattacharya possesses a wide range of skills, including expertise in theoretical physics, computational biology, and microbiology. His technical skills extend to programming and software development, having contributed to the creation of tools like hyperTeX, the hyperref LaTeX package, and the development of the Apache webserver. His ability to lead large-scale research collaborations and his contributions to computational methods in high-energy physics and lattice quantum chromodynamics demonstrate his proficiency in both scientific research and technical innovation.

🏆Awards and Honors

Bhattacharya has been the recipient of numerous prestigious awards throughout his career. Some of his notable honors include the Los Alamos Distinguished Performance Award (1999, 2022), the Duke CHAVI-ID Outstanding Contributions Award (2015), and recognition as a Highly Cited Researcher by Clarivate Analytics in multiple years (2016, 2018, 2019, 2020). In 2020, he was named a Los Alamos Laboratory Fellow, a testament to his exceptional contributions to the scientific community. Most recently, in 2023, he was recognized among the top scientists in Biology and Biochemistry by research.com and was part of the LANL team that won an R&D 100 award for the “CANDLE” project.

 Membership 🏛️

Tanmoy Bhattacharya is a member of the American Physical Society, actively participating in divisions such as Computational Physics and Particles and Fields. He has held leadership roles in the US Lattice Quantum Chromodynamics (USQCD) collaboration, contributing to the strategic direction of high-energy physics. Additionally, he moderates the hep-lat arXiv and is involved in the International Society of Genetic Genealogy.

Research Focus 🔬

Bhattacharya’s research focuses primarily on theoretical physics, computational biology, and microbiology. His work in lattice quantum chromodynamics (LQCD) has been pivotal in understanding fundamental particles and forces. In the field of computational biology, he has made significant contributions to HIV research and genetic analysis, as evidenced by his work with the HIV Genetics and HIV Database teams at LANL. His interdisciplinary approach allows him to tackle complex problems at the intersection of physics, biology, and computer science, making his research both innovative and impactful across multiple fields.

📖Publications : 

  1. High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
    🗓️ 2024 | 📰 Scientific Reports | 🧠📈
  2. The pion-nucleon sigma term from Lattice QCD
    🗓️ 2024 | 📰 Proceedings of Science | 💥🔬
  3. Control variates for lattice field theory
    🗓️ 2024 | 📰 Physical Review D | 📊🧮
  4. Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features
    🗓️ 2024 | 📰 Proceedings of the National Academy of Sciences of the United States of America | 🦠💉
  5. Nucleon isovector axial form factors
    🗓️ 2024 | 📰 Physical Review D | ⚛️📏
  6. Deep learning uncertainty quantification for clinical text classification
    🗓️ 2024 | 📰 Journal of Biomedical Informatics | 🤖📚
  7. Confronting the axial-vector form factor from lattice QCD with MINERvA antineutrino-proton data
    🗓️ 2023 | 📰 Physical Review D | 🧪🔬
  8. Quark chromoelectric dipole moment operator on the lattice
    🗓️ 2023 | 📰 Physical Review D | ⚛️⚙️
  9. Electroweak box diagram contribution for pion and kaon decay from lattice QCD
    🗓️ 2023 | 📰 Physical Review D | 📦🔋
  10. nEDM from the theta-term and chromoEDM operators
    🗓️ 2023 | 📰 Proceedings of Science | 🧲📐