Bijo Mathew | Medicinal Chemistry | Best Researcher Award

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Prof Dr. Bijo Mathew | Medicinal Chemistry | Best Researcher Award

Professor at Amrita School of Pharmacy India.

Prof. Dr. Bijo Mathew is a distinguished academic in pharmaceutical sciences, currently serving as a Professor at Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Kochi. With a robust background in molecular docking and drug design using AutoDock 4.2, Biovia, and Glide, he contributes significantly as Section Editor for Coronaviruses (BenthamScience) and Editorial Member for several prestigious journals. Dr. Mathew’s teaching career spans from Assistant Professor to his current role, imparting knowledge across various institutions in India. He is a sought-after speaker, delivering talks internationally and nationally on drug design and medicinal chemistry. Recognized as one of the Top 2% Scientists by Stanford, he has received multiple awards including the Amrita Publication Research Award and Best International Collaborator Award. Dr. Mathew holds patents for compositions addressing neurological disorders, underscoring his commitment to advancing pharmaceutical research and education.

Professional Profiles:

🎓 Education

Prof. Dr. Bijo Mathew boasts a distinguished academic journey in pharmaceutical sciences, culminating in a Ph.D. from Jawaharlal Nehru Technological University, Hyderabad, India, specializing in Pharmaceutical Science. Prior to his doctoral studies, he completed his Master’s in Pharmaceutical Chemistry and Bachelor’s in Pharmacy at The Tamilnadu Dr. M.G.R. Medical University, Chennai, and his pre-degree at Mahatma Gandhi University, Kottayam, India. His doctoral research under the guidance of Dr. A. Jerad Suresh focused on the synthesis, characterization, and pharmacological evaluation of heterocyclic derivatives, contributing significantly to the field. Prof. Mathew’s academic journey is marked by a commitment to advancing pharmaceutical knowledge, evident in his extensive expertise across various domains of pharmaceutical research, including molecular docking, dynamics, and pharmacophore mapping. His educational foundation and research acumen continue to drive innovative contributions in drug discovery and development, positioning him as a prominent figure in academia and pharmaceutical research.

Area of Interest and Expertise

Prof. Dr. Bijo Mathew’s research interests encompass a diverse array of fields within pharmaceutical chemistry and drug discovery. His expertise spans the chemistry and biological exploration of various classes of compounds such as chalcones and isatins. He is involved in the synthesis and pharmacological evaluation of heterocyclic nuclei including benzimidazole, thiadiazole, pyrimidine, furan, pyrazoline, and thiazole derivatives, focusing on their potential as CNS depressants, anticonvulsants, anticancer agents, antioxidants, and neuroprotective compounds. Dr. Mathew specializes in designing inhibitors for key enzymes like MAO, AChE, BACE1, and Hsp90, utilizing techniques such as monowave-assisted synthesis and structural elucidation through IR, NMR, and MASS spectroscopy. His research also extends to molecular docking, dynamics, pharmacophore mapping, and 3D-QSAR studies, as well as the isolation and computational analysis of natural secondary metabolites from medicinal plants.

Expertise in Software:

  • AutoDock 4.2, Biovia, Glide

Editorial Contributions:

  • Section Editor for Coronaviruses (BenthamScience)
  • Editorial Member for Brain Sciences (MDPI), Combinatorial Chemistry & High Throughput Screening (Bentham Science), Molecules (MDPI), Current Topics in Medicinal Chemistry (Bentham Science), Current Drug Targets (Bentham Science)

Teaching Experience:

  • Professor at Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Kochi, India, since April 2022
  • Associate Professor and Assistant Professor at various institutions in India prior to current position

Invited Talks:

  • Presented internationally and nationally on topics related to drug design, molecular docking, and medicinal chemistry.

Awards and Recognition:

  • Recognized with multiple awards including Top 2% Scientists from Stanford, Amrita Publication Research Award, Best International Collaborator Award, Chancellor’s Publication Award, Publication Merit Award, and Best Resource Person Award at National College of Pharmacy.

Patents:

  • Granted patents on compositions for neurological disorders and therapeutic agents.

Publications

  1. Elucidating molecular mechanism and chemical space of chalcones through biological networks and machine learning approaches
    • Authors: Manaithiya, A., Bhowmik, R., Acharjee, S., Parkkila, S., Aspatwar, A., Mathew, B.
    • Year: 2024
    • Citations: 0
  2. Machine learning driven web-based app platform for the discovery of monoamine oxidase B inhibitors
    • Authors: Kumar, S., Bhowmik, R., Oh, J.M., Kim, H., Mathew, B.
    • Year: 2024
    • Citations: 3
  3. Development of morpholine ring-bearing halogenated α,β-unsaturated ketones as selective monoamine oxidase-B inhibitors
    • Authors: Lee, J., Parmbil, S.K., Pandit, N.K., Kim, H., Mathew, B.
    • Year: 2024
    • Citations: 0
  4. Isatin-tethered halogen-containing acylhydrazone derivatives as monoamine oxidase inhibitor with neuroprotective effect
    • Authors: Kumar, S., Oh, J.M., Prabhakaran, P., Kim, H., Mathew, B.
    • Year: 2024
    • Citations: 3
  5. MzDOCK: A free ready-to-use GUI-based pipeline for molecular docking simulations
    • Authors: Kabier, M., Gambacorta, N., Trisciuzzi, D., Nicolotti, O., Mathew, B.
    • Year: 2024
    • Citations: 0
  6. Design and Synthesis of the Linezolid Bioisosteres to Resolve the Serotonergic Toxicity Associated with Linezolid
    • Authors: Girase, R.T., Ahmad, I., Oh, J.M., Kim, H., Patel, H.M., Mathew, B.
    • Year: 2024
    • Citations: 0
  7. MAO-B Inhibitor (2E)-3-(4-Bromophenyl)-1-(1H-indol-3-yl) prop-2-en-1-one as a Neuroprotective Agent Against Alzheimer’s Disease
    • Authors: Sasidharan, R., Mohanan, R., Kukreti, N., Manju, S.L., Mathew, B.
    • Year: 2024
    • Citations: 0
  8. Correction to: Targeting cellular batteries for the therapy of neurological diseases (Environmental Science and Pollution Research)
    • Authors: Arora, A., Behl, T., Sehgal, A., Mathew, B., Bungau, S.
    • Year: 2024
    • Citations: 0
  9. Chalcones with N-Methylpiperazine Moiety: Synthesis, Monoamine Oxidase Inhibition, Neuroprotective Effect and Computer Simulation Study
    • Authors: Jayan, J., Trisciuzzi, D., Benny, F., Nicolotti, O., Mathew, B.
    • Year: 2024
    • Citations: 0
  10. A structure-based approach to explore novel COX-2 inhibitors using pharmacophore modelling, 3D-QSAR analysis, virtual screening and dynamics simulation study
    • Authors: Krishnendu, P.R., Benny, S., Kumar, S., Zachariah, S.M., Mathew, B.
    • Year: 2024
    • Citations: 3

 

 

Farhad Samimi Namin | Mathematics | Best Researcher Award

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Assoc Prof Dr. Farhad Samimi Namin | Mathematics |Best Researcher Award

Academic member at University of Zanjan, Iran.

Farhad Samimi Namin is an Assistant Professor at Zanjan University, specializing in mining engineering with a focus on decision theory models for underground mining method selection. He obtained his Ph.D. from Amirkabir University of Technology, Tehran, and has since developed expertise in mine planning, equipment selection, multicriteria decision making, fuzzy logic, and environmental impact assessment. Farhad has authored numerous papers published in prestigious journals and presented at international conferences, showcasing his contributions to advancing mining practices. His teaching portfolio includes courses on underground mining methods and mine design principles, where he emphasizes both theoretical concepts and practical applications. With a commitment to interdisciplinary research and professional development, Farhad continues to play a pivotal role in shaping the future of mining engineering through innovative research and academic leadership.

Professional Profiles:

Education

Farhad Samimi Namin pursued his academic journey in mining engineering, starting with a B.Sc. degree from the International University of Imam Khomeini in Qazvin, Iran. He continued his studies with an M.Sc. in Mining Engineering at Sahid Bahonar University in Kerman, Iran, achieving high academic honors with a GPA of 17.98 out of 20. His educational pursuit culminated in a Ph.D. from Amirkabir University of Technology (Tehran Polytechnic University), Tehran, Iran, where his doctoral research focused on the development of a decision theory-based model for underground mining method selection. His academic achievements reflect a strong foundation in theoretical and applied aspects of mining engineering, preparing him for his subsequent career as an Assistant Professor at the University of Zanjan, Iran.

Professional Experience

Farhad Samimi Namin has garnered extensive professional experience, notably serving as an Assistant Professor in the Mining Engineering Department at Zanjan University, Iran, for over seven years. His academic role includes teaching courses such as Underground Mining Methods, Advanced Underground Excavation Methods, Mine Design Principles, Mine Surveying, Tunneling, Shaft Sinking, Mine Management, Mine Ventilation, and Mine Services. His tenure at Zanjan University has been marked by contributions to both academic instruction and research in the field of mining engineering, particularly focusing on mine planning and the application of Multi-Criteria Decision Making (MADM) techniques in mining contexts.

Research Interest

Farhad Samimi Namin’s research interests primarily revolve around mine planning and design, with a specific focus on mining methods and equipment selection. He specializes in applying Multi-Criteria Decision Making (MADM), fuzzy logic, and environmental impact assessment techniques in the mining industry. His research aims to optimize decision-making processes related to underground mining method selection and to address environmental concerns associated with mining operations. Additionally, he explores practical applications of decision-making techniques in the mining sector, aiming to enhance operational efficiency and sustainability in mineral resource management.

Research Skills

Farhad Samimi Namin is an esteemed figure in mining engineering, currently serving as an Assistant Professor at Zanjan University. He earned his Ph.D. from Amirkabir University of Technology, Tehran, specializing in decision theory models for underground mining method selection. His research interests encompass mine planning, mining equipment selection, multicriteria decision making, fuzzy logic applications, and environmental impact assessment. With a prolific publication record in esteemed journals and presentations at international conferences, Farhad has made significant contributions to advancing mining methodologies. His expertise extends to technical writing, data analysis, and interdisciplinary collaboration, reflecting a comprehensive approach to addressing complex mining challenges. Through his teaching in courses such as underground mining methods and mine design principles, he nurtures the next generation of mining professionals, emphasizing practical applications and theoretical foundations in mining engineering.

Publications

  1. Title: A Review: Applications of Fuzzy Theory in Rock Engineering
    • Authors: Samimi Namin, F.; Rouhani, M.M.
    • Year: 2024
    • Citations: 1
  2. Title: Investigate the potential of using fuzzy similarity in decision making under uncertainty for mining projects
    • Authors: Rouhani, M.M.; Namin, F.S.
    • Year: 2023
    • Citations: 1
  3. Title: Development of a new system for improving blastability by using the Fuzzy Delphi AHP method
    • Authors: Jalali, Z.; Namin, F.S.
    • Year: 2023
    • Citations: 0
  4. Title: Analyzing the effects of natural ventilation caused by excavating the waste pass on the ventilation network of the Anguran mine
    • Authors: Fetri, M.; Shahabi, R.S.; Namin, F.S.; Zeyni, E.E.; Khereshki, M.H.K.
    • Year: 2023
    • Citations: 0
  5. Title: A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)
    • Authors: Namin, F.S.; Ghadi, A.; Saki, F.
    • Year: 2022
    • Citations: 21
  6. Title: 3D computational study of tunnel segment behaviour under loading by TBM thrust jacks
    • Authors: Dastjerdy, B.; Hasanpour, R.; Samimi Namin, F.; Chakeri, H.
    • Year: 2021
    • Citations: 2
  7. Title: Numerical investigation into the effect of stepping on the circumferential joint in the precast tunnel segments under TBM thrust jacks
    • Authors: Karimi, M.; Chakeri, H.; Namin, F.S.; Sharghi, M.; Özçelik, Y.
    • Year: 2020
    • Citations: 6
  8. Title: Uncertainty determination in rock mass classification when using FRMR Software
    • Authors: Namin, F.S.; Rinne, M.; Rafie, M.
    • Year: 2015
    • Citations: 3
  9. Title: Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system
    • Authors: Rafie, M.; Samimi Namin, F.
    • Year: 2015
    • Citations: 84
  10. Title: FMMSIC: A hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)
    • Authors: Namin, F.S.; Shahriar, K.; Bascetin, A.; Ghodsypour, S.H.
    • Year: 2012
    • Citations: 28

 

Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

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Mr. Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

Senior Software Engineer at Technology Partners Inc, United States.

Venkata Praveen Kumar Kaluvakuri is an accomplished Oracle Certified Java/J2EE Software Developer with over 13 years of experience in crafting customized solutions for web-based applications. Throughout his career, he has been actively involved in all phases of the Software Development Life Cycle (SDLC), from requirement analysis and design to implementation, testing, and support. Venkata possesses strong proficiency in Java programming, with expertise in functional programming, lambda expressions, and design patterns. He has demonstrated his skills in developing UI applications using NodeJs and Angular, and has extensive experience in building and managing cloud infrastructure on AWS, employing services like EC2, S3, and Lambda.

Professional Profiles:

Education

Venkata Praveen Kumar Kaluvakuri holds a Master of Science in Computer Science from the University of Central Missouri and a Bachelor of Technology from Jawaharlal Nehru Technological University Kakinada, India. He is also an Oracle Certified Java Programmer, adding a significant credential to his extensive academic background.

Professional Experience

Venkata Praveen Kumar Kaluvakuri, a seasoned software engineer with over 13 years of experience, specializes in Java, cloud environments, and AI/ML integration. At Enterprise Fleet Management, he developed high-performance UI pages, migrated applications to AWS, and implemented microservices. At MasterCard, he contributed to developing RESTful services and automation testing. His work at Wells Fargo involved enhancing UIs and developing web services, while his tenure at Vienna Infosys focused on J2EE design patterns and web services. With expertise across multiple frameworks and technologies, Praveen excels in delivering robust, scalable software solutions.

Research Interest

Venkata Praveen Kumar Kaluvakuri’s research interests lie in the intersection of software development and emerging technologies. He is particularly focused on the integration of AI/ML techniques in cloud environments to solve complex cybersecurity problems. Additionally, he is interested in optimizing performance in web-based applications, leveraging functional programming, and exploring the potential of serverless architectures in AWS. Praveen is also keen on advancing the use of microservices and developing innovative solutions for enterprise-level challenges, constantly seeking to enhance the efficiency and security of software systems.

Award and Honors

Venkata Praveen Kumar Kaluvakuri has earned several awards and honors throughout his career, highlighting his dedication and excellence in the field of software development. He is an Oracle Certified Java Programmer, a testament to his expertise in Java programming. His outstanding performance and contributions to project success have earned him the Employee of the Month award multiple times at Enterprise Fleet Management. At MasterCard, he was honored with the Outstanding Project Award for leading and completing a critical project on time and within budget. Additionally, he received the Innovation Excellence Award at Wells Fargo for developing innovative solutions and improving the efficiency of web-based applications. His exceptional teamwork and collaboration on high-impact projects at Computer Sciences Corporation, India, earned him the Team Excellence Award.

Research Skills

Venkata Praveen Kumar Kaluvakuri has developed a robust set of research skills over his career in software development and IT solutions. With a keen focus on problem-solving and analysis, he excels in dissecting complex issues and devising innovative solutions. His expertise extends to experimental design, where he applies rigorous methodologies to evaluate software performance, scalability, and reliability. Venkata is adept at data analysis, employing advanced tools to extract valuable insights from large datasets, crucial for optimizing software functionalities and user experiences. Additionally, he maintains a strong grasp of current research trends through meticulous literature reviews, ensuring he remains at the forefront of software development methodologies, frameworks, and technologies. With strong technical writing abilities, Venkata effectively communicates his findings, prepares detailed technical reports, and contributes to scholarly publications. His collaborative spirit and adeptness in cross-functional teamwork further underscore his ability to drive innovation and project success in diverse professional environments.

Publications

  1. SECURING THE SERVERLESS FRONTIER: A JAVA FULL STACK PERSPECTIVE ON AI/ML INTEGRATION IN THE CLOUD
    • Authors: VP Peta, SKR Khambam, VPK Kaluvakuri
    • Year: 2023
    • Journal: International Journal For Advanced Research In Science & Technology
    • Volume: 13
    • Issue: 07
    • Citations: Not specified
  2. AI-DRIVEN ROOT CAUSE ANALYSIS FOR JAVA MEMORY LEAKS
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2022
    • Journal: International Journal For Innovative Engineering and Management Research
    • Volume: 12
    • Issue: Not specified
    • Citations: Not specified
  3. The Cloud as A Financial Forecast: Leveraging AI For Predictive Analytics
    • Authors: SKR Khambam, VPK Kaluvakuri, VP Peta
    • Year: 2022
    • Journal: International Journal For Recent Developments In Science & Technology
    • Volume: 6
    • Issue: 08
    • Citations: Not specified
  4. Serverless Java: A Performance Analysis for Full-Stack AI-Enabled Cloud Applications
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2021
    • Journal: International Journal For Recent Developments in Science & Technology
    • Volume: 5
    • Issue: 05
    • Citations: Not specified