Hussein Al-Hakeim | Neuroscience | Best Researcher Award

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Prof Hussein Al-Hakeim | Neuroscience | Best Researcher Award 🏆

Peofessor of Medical Biochemistry at University of Kufa, Iraq🎓

 Professor Dr. Hussein Kadhem Al-Hakeim is a distinguished Iraqi academic specializing in Medical Biochemistry, Biological Psychiatry, Insulin Resistance, and Nanobiochemistry. Residing at 28 Al-Adala, Najaf, Iraq, he is currently affiliated with Kufa University. Dr. Al-Hakeim is well-recognized for his significant contributions to biochemistry and clinical chemistry in Iraq.

Professional Profile 

Education🎓

Dr. Al-Hakeim earned his B.Sc. in Chemistry from the University of Mosul in 1991, followed by an M.Sc. in Medical Chemistry and a High Graduate Diploma in Clinical Biochemistry from Al-Nahrain University in 2000 and 2001, respectively. He completed his Ph.D. in Medical Chemistry at the same institution in 2004. Additionally, he holds a Diploma in International Law and Diplomatic Relations from Cairo Regional Center for Training and Arbitration, obtained in 2017.

 💼Work Experience

Dr. Al-Hakeim has held various leadership roles, including Head of the Department of Chemistry at Kufa University and the University of Karbala. He has served as the Assistant Dean and Chief of the Examination Committee at the College of Science, University of Karbala. His teaching career includes extensive experience as a lecturer in postgraduate studies across multiple universities in Iraq.

 🛠️Skills

Dr. Al-Hakeim is an expert in Medical and Clinical Biochemistry, Nanobiochemistry, Insulin Resistance, and Stem Cell Technology. He has a profound knowledge of biostatistics, biosensors, and protein-nanoparticle interactions, and is skilled in advanced laboratory techniques and various biochemical analysis methods.

 🏆Awards and Honors

Dr. Al-Hakeim’s work has been recognized at numerous scientific congresses and conferences worldwide. His research contributions and academic leadership have earned him a prominent place in Iraq’s scientific community.

 Membership 🏛️and Affiliations 🤝

Dr. Al-Hakeim is an active member of several scientific committees and associations. He frequently participates in international conferences and has presented his research at numerous prestigious events.

 Teaching Experience👨‍🏫

Dr. Al-Hakeim has taught a wide range of courses at the B.Sc., M.Sc., and Ph.D. levels. His subjects include Advanced Biochemistry, Clinical Biochemistry, Toxicology, Endocrinology, Biostatistics, and more. He has also coordinated several courses and training programs, contributing significantly to the academic development of his students.

 Research Focus 🔬

Dr. Al-Hakeim’s research interests encompass Medical Biochemistry, Clinical Chemistry, Insulin Resistance Mechanisms, Stem Cell Technology, Nanobiochemistry, and the Medical Applications of Surface Chemistry. His work is particularly focused on protein-nanoparticle interactions, a field where he has made substantial contributions.

📖Publications : 

  • IL-6, IL-18, sIL-2R, and TNFα proinflammatory markers in depression and schizophrenia patients who are free of overt inflammation
    • 🗓️ Year: 2015
    • 📚 Journal: Journal of Affective Disorders
  • Long-COVID post-viral chronic fatigue and affective symptoms are associated with oxidative damage, lowered antioxidant defenses, and inflammation: a proof of concept
    • 🗓️ Year: 2023
    • 📚 Journal: Molecular Psychiatry
  • Study of the effect of iron overload on the function of endocrine glands in male thalassemia patients
    • 🗓️ Year: 2011
    • 📚 Journal: Asian Journal of Transfusion Science
  • Intersections between pneumonia, lowered oxygen saturation percentage, and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID
    • 🗓️ Year: 2021
    • 📚 Journal: Journal of Affective Disorders
  • The tryptophan catabolite or kynurenine pathway in schizophrenia: meta-analysis reveals dissociations between central, serum, and plasma compartments
    • 🗓️ Year: 2022
    • 📚 Journal: Molecular Psychiatry
  • The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: medRxiv
  • Serum levels of lipids, calcium, and magnesium in women with hypothyroidism and cardiovascular diseases
    • 🗓️ Year: 2009
    • 📚 Journal: Journal of Laboratory Physicians
  • High Mobility Group Protein 1 and Dickkopf-Related Protein 1 in Schizophrenia and Treatment-Resistant Schizophrenia: Associations With Interleukin-6, Symptom Domains, and…
    • 🗓️ Year: 2020
    • 📚 Journal: Schizophrenia Bulletin
  • IL-10 is associated with increased mu-opioid receptor levels in major depressive disorder
    • 🗓️ Year: 2019
    • 📚 Journal: European Psychiatry
  • Lowered oxygen saturation and increased body temperature in acute COVID-19 largely predict chronic fatigue syndrome and affective symptoms due to Long COVID: A precision…
    • 🗓️ Year: 2023
    • 📚 Journal: Acta Neuropsychiatrica
  • The physio-affective phenome of major depression is strongly associated with biomarkers of astroglial and neuronal projection toxicity which in turn are associated with…
    • 🗓️ Year: 2023
    • 📚 Journal: Journal of Affective Disorders
  • Serum interleukin levels and insulin resistance in major depressive disorder
    • 🗓️ Year: 2018
    • 📚 Journal: CNS & Neurological Disorders – Drug Targets
  • Lowered quality of life in long COVID is predicted by affective symptoms, chronic fatigue syndrome, inflammation, and neuroimmunotoxic pathways
    • 🗓️ Year: 2022
    • 📚 Journal: International Journal of Environmental Research and Public Health
  • Schizophrenia phenomenology revisited: positive and negative symptoms are strongly related reflective manifestations of an underlying single trait indicating overall severity…
    • 🗓️ Year: 2020
    • 📚 Journal: CNS Spectrums
  • The tryptophan catabolite or kynurenine pathway in major depressive and bipolar disorder: A systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: Brain, Behavior, & Immunity – Health
  • The neuroimmune and neurotoxic fingerprint of major neurocognitive psychosis or deficit schizophrenia: a supervised machine learning study
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research
  • Serum apelin and galectin-3 in preeclampsia in Iraq
    • 🗓️ Year: 2020
    • 📚 Journal: Hypertension in Pregnancy
  • Construction of a Neuro-Immune-Cognitive Pathway-Phenotype Underpinning the Phenome of Deficit Schizophrenia
    • 🗓️ Year: 2020
    • 📚 Journal: Current Topics in Medicinal Chemistry
  • Estimation of Serum Copper, Manganese, Selenium, and Zinc in Hypothyroidism Patients
    • 🗓️ Year: 2009
    • 📚 Journal: IUFS Journal of Biology
  • Major depression in children with transfusion-dependent thalassemia is strongly associated with the combined effects of blood transfusion rate, iron overload, and increased pro…
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research

Marjan Shariatpanahi | Neuroscience | Best Researcher Award

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Dr Marjan Shariatpanahi |  Neuroscience | Best Researcher Award 

Associate professor at Iran university of medical sciences,Iran

Dr. Marjan Shariatpanahi is an Associate Professor in the Department of Pharmacology and Toxicology at the School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran. With extensive experience in toxicology and pharmacology, Dr. Shariatpanahi has made significant contributions to research on neurodegenerative diseases and toxicology.

professional profile

scopus

google scholar

Education 🎓

Dr. Shariatpanahi holds a Doctor of Pharmacy (Pharm. D.) from Islamic Azad University, Tehran (2000-2006) with a thesis on thymidine phosphorylase and estrogen receptor alpha in colorectal cancer. She also earned a Ph.D. in Toxicology from Tehran University of Medical Sciences (2009-2014), focusing on the effects of PKG on spatial memory deficits and markers of autophagy and apoptosis in rats.

Work Experience 🏥

Dr. Shariatpanahi has a diverse professional background. She has been the Head of the Pharmacology & Toxicology Department at Iran University of Medical Sciences since 2017. Her previous roles include Dean of the Educational Office (2020-2023), Head of Student and Cultural Affairs (2019-2020), and faculty member at the Neuroscience Research Center (2018-present). She has also worked as an Assistant Professor at both Iran University of Medical Sciences and Guilan University of Medical Sciences, and as a Responsible Pharmacist in various institutions.

Skills 🛠️

Dr. Shariatpanahi is proficient in various research techniques, including IHC, Western blot, ICC, in vivo studies, and behavioral tests for neurodegenerative diseases. Her expertise extends to TLC, spectrophotometry, SPSS, PRISM, ELISA, and gas chromatography. She is also skilled in using atomic absorption machines and Endnote.

Awards and Honors 🏅

Dr. Shariatpanahi has received several accolades, including being named the best professor at the Vosough Festival of IUMS (2023) and being recognized as a selected pharmacist (2022). She was also acknowledged as a top student in toxicology and pharmacy, receiving first ranks in board examinations and seminars.

Professional Memberships 🔗

Dr. Shariatpanahi is a member of the Iranian Association of Toxicology, the Iranian Medical Council, the Iranian Association of Pharmacists, the Iranian Probiotics Society, and the Talent Society of Tehran University.

Teaching Experience 📚

Dr. Shariatpanahi has taught a wide range of courses across various levels. For Ph.D. students, she covers basics of pharmacology. For Doctor of Pharmacy students, she teaches toxicology, pharmacology, clinical toxicology, and specialized pharmacy language. Her M.Sc. teaching includes environmental toxicology, forensic toxicology, and advanced research methods, while for B.Sc. students, she focuses on toxicology.

Research Focus 🔬

Dr. Shariatpanahi’s research interests include neuroscience, with a focus on autism, Alzheimer’s disease, memory, and Parkinson’s disease. She is also involved in toxicology, environmental toxicology, pharmacology, cell signaling, stem cell therapy, and the study of behavioral investigations on animals. Her work explores various markers and mechanisms in carcinogenesis, angiogenesis, and the protective and toxic effects of nanoparticles.

Conclusion

Dr. Marjan Shariatpanahi’s extensive qualifications, leadership roles, significant research contributions, and recognition in the field make him an excellent candidate for the Best Researcher Award. His achievements demonstrate a strong commitment to advancing knowledge in pharmacology and toxicology, contributing valuable insights into neurodegenerative diseases, toxicology, and pharmacology.

publication 

 

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

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Mr Amit Chougule | Cognitive Neuroscience | Best Researcher Award

 

Researcher at Manentia AI, India

 

 

📚 Amit Chougule is a distinguished deep learning and AI researcher with a PhD from BITS Pilani, dedicated to advancing AI through cutting-edge research, algorithm development, and impactful industry contributions. He has over 3 years of expertise in AI and Computer Vision, having worked with esteemed organizations like Philips Research, Sony Research India, and Carleton University’s TrustCAV Research. Amit is proficient in Python and skilled in utilizing various libraries for data manipulation, statistical analysis, and machine learning. His experience includes designing end-to-end AI solutions and developing models for healthcare, autonomous vehicles, and more. 🚀🤖📊

Professional Profile:

 

🎓 Education:

  • PhD in Computer Vision & AI, BITS Pilani, Pilani (2021-2024)
    • Thesis: Artificial Intelligence Enabled Vehicular Vision and Service Provisioning for Advanced Driver Assistance Systems (ADAS)
    • Supervisors: Dr. Vinay Chamola, Dr. Pratik Narang & Prof. F. Richard Yu (IEEE Fellow)
  • M.Tech in Big Data & IoT, PES University, Bengaluru (2018-2020)
    • Specializations: IoT, Cloud Computing, Big Data & Cyber Security
  • B.Tech in Computer Engineering, Shivaji University (2013-2017)
    • Focus Areas: Computer Algorithm, Data Structure, Computer Networks & Operating System

💼 Experience:

  • Visiting Researcher, Carleton University, Canada (Dec 2022 – June 2023)
    • Developed techniques for enhancing self-driving vehicles.
    • Analyzed the impact of abnormal weather on vision-based autonomous vehicle operations.
    • Introduced a computer vision-based attention model for reliable autonomous driving in adverse weather.
  • Computer Vision Intern (PhD), Sony Research (Oct 2022 – Nov 2022)
    • Innovated a computer vision model for diagnosing diseases using biomarkers.
    • Developed an advanced pipeline for predicting diseases based on anatomical biomarkers.
  • Machine Learning Engineer, AIvolved Technologies (Aug 2020 – Dec 2020)
    • Worked on object detection, tracking, pose estimation, and web scraping for applications like gait analysis and traffic analysis.
  • Computer Vision Intern, Philips Healthcare Research (July 2019 – July 2020)
    • Conducted research on ultrasound medical imaging.
    • Developed an Anatomical Intelligent Fetal Heart Ultrasound Scanning technique.
    • Implemented an AI model for precise estimation of fetal femur length.

🔧 Skills:

  • Programming Languages: C, C++, JAVA, Python, SQL
  • Machine Learning Frameworks: PyTorch, Keras, TensorFlow
  • CI/CD Tools: Git
  • MLOps Frameworks and Tools: Docker, Kubernetes
  • Data Pipelines and Analytics Tools: Apache Spark, PySpark
  • Image Processing: OpenCV, Matplotlib, Scikit-image, SciPy, Pillow
  • Generative AI: Autoencoders, GANs, Diffusion Models
  • Computer Vision Domains: Image Classification, Object Detection, Object Tracking, Segmentation, Pose Estimation, Computational Geometry, Image Generation
  • Medical Imaging Tools: ImageJ, 3D Slicer, OsiriX, SimpleITK, ITK-SNAP, RadiAnt DICOM
  • Hardware: Arduino, Raspberry Pi, Nvidia Jetson Nano

🏆 Awards and Honors:

  1. Generative Adversarial Networks (GANs) Specialization by Coursera
  2. Deep Learning with Numpy by Udemy
  3. Getting Started with AWS Machine Learning by Amazon (Coursera)
  4. Computer Vision Basics by University at Buffalo and The State University of New York (Coursera)
  5. Digital Image Processing with OpenCV in Python by GEO University
  6. Data Science with Python by Pluralsight
  7. Pandas Foundations by Datacamp
  8. Python (Advanced Level) by HackerRank

🔬 Research Focus:

Amit Chougule is dedicated to advancing artificial intelligence through cutting-edge research, innovative algorithm development, and impactful industry contributions. He focuses on:

  • Deep Learning Technology: Solving complex real-world problems and driving societal impact.
  • Computer Vision: Enhancing autonomous vehicle capabilities, especially in adverse weather conditions.
  • Medical Imaging: Developing AI models for accurate disease diagnosis and fetal growth prediction.
  • AI Solutions: Designing end-to-end AI solutions, from data pipeline architecture to model deployment.

Publications: