HamidReza Ahmadifar | Drug Delivery Systems | Best Researcher Award

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HamidReza Ahmadifar | Drug Delivery Systems | Best Researcher Award

Assist. Prof. Dr. HamidReza Ahmadifar, University of Guilan, Iran

Dr. HamidReza Ahmadifar is an Assistant Professor in the Computer Engineering Department at the University of Guilan, Iran. He earned his Ph.D. in Computer Engineering from Shahid Beheshti University in 2013. His research focuses on Cloud Computing ☁️, Blockchain Applications πŸ”—, Computer Architecture πŸ–₯️, and Approximate Computing ⚑. He has contributed to multiple research projects, published in reputable journals, and serves as a reviewer for IEEE and other high-impact publications. His innovative work includes a blockchain-based model for counterfeit detection in logistics. Passionate about technological advancements, he continues to shape the future of computing. πŸš€

Publication Profile

Google scholar

Professional Background

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ earned his Ph.D. in Computer Engineering from Shahid Beheshti University, Tehran, Iran, in 2013. Currently, he serves as an Assistant Professor in the Computer Engineering Department at the University of Guilan, Rasht, Iran πŸ›οΈ. His research focuses on Computer Architecture πŸ–₯️, Approximate Computing πŸ€–, Cloud Computing ☁️, and Blockchain Applications πŸ”—. With a strong academic background and expertise in emerging technologies, Dr. Ahmadifar actively contributes to advancing computational methodologies and innovative digital solutions, shaping the future of computing and technology. πŸš€

Professional Memberships

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ is an active member of the academic and research community, contributing as a reviewer for prestigious journals. He serves as a reviewer for the IEEE Open Journal of Intelligent Transportation Systems πŸš—πŸ’‘, where he evaluates cutting-edge research on smart mobility and transportation technologies. Additionally, he reviews for Computers in Biology and Medicine πŸ§¬πŸ’», assessing innovative studies at the intersection of computing and healthcare. His commitment to peer review ensures the quality and advancement of scientific research, reinforcing his influence in both computing and interdisciplinary applications. πŸ”πŸ“š

Technical Contributions

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ has made significant contributions to technological innovation, particularly in counterfeiting detection. His groundbreaking research utilizes blockchain technology πŸ”— and GPS systems πŸ“ to enhance product authentication without relying on additional IoT sensors. This innovative approach ensures both cost-effectiveness πŸ’° and high security πŸ”’, making implementation more accessible across industries. By eliminating extra hardware requirements, Dr. Ahmadifar’s model streamlines authentication processes while maintaining reliability and authenticity. His work represents a major advancement in digital security, reinforcing trust in supply chains and counterfeit prevention solutions. πŸš€

Collaborations

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ actively collaborates with industry and academia, contributing to four consultancy and industry projects πŸ­πŸ” that bridge research with real-world applications. His ability to translate theoretical knowledge into practical solutions βš™οΈ highlights his impact in the field. Additionally, his involvement in collaborative research papers πŸ“„πŸ€ showcases his commitment to knowledge sharing and teamwork. Through these partnerships, Dr. Ahmadifar plays a key role in advancing cutting-edge technologies πŸš€ while fostering innovation across multiple domains. His contributions strengthen the connection between academic research and industry-driven technological advancements. πŸ”—

Research Focus

Assist. Prof. Dr. HamidReza Ahmadifar’s research primarily focuses on computer architecture πŸ–₯️, digital systems βš™οΈ, artificial intelligence πŸ€–, and blockchain applications πŸ”—. His work includes innovations in Residue Number Systems (RNS) βž—, hardware-efficient computing πŸ—οΈ, and digital arithmetic optimization πŸ“Š. He has contributed to modular arithmetic, reconfigurable computing πŸ› οΈ, and image processing πŸ–ΌοΈ. Additionally, his studies extend to deep learning-based systems 🧠, cloud computing ☁️, and cybersecurity πŸ”. His interdisciplinary research integrates signal processing πŸ“‘, transport security πŸš›, and smart cities πŸŒ†, impacting various technological domains.

Publication Top Notes

A New Residue Number System with 5-Moduli Set: {22q, 2qΒ±3, 2qΒ±1}

Estimation of (vapour + liquid) equilibrium of binary systems (tert-butanol + 2-ethyl-1-hexanol) and (n-butanol + 2-ethyl-1-hexanol) using an artificial neural

A ROM‐less reverse RNS converter for moduli set {2qΒ Β± 1, 2qΒ Β± 3}

Improved modulo-(2nΒ Β± 3) multipliers

Reducing reconfiguration time of reconfigurable computing systems in integrated temporal partitioning and physical design framework

Application of image processing techniques for quality control of mushroom

Dmap: A distributed blockchain-based framework for online mapping in smart city

Performance of HEVC discrete cosine and sine transforms on GPU using CUDA

Adder-Only Reverse Converters for 5-Moduli Set {2^q,2^q-1,2^(q+1)Β±1,2^(q+2)-1}

Anup Kumar Sharma | Formulation Science | Best Researcher Award

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Anup Kumar Sharma | Formulation Science | Best Researcher Award

Dr Anup Kumar Sharma, National Institute of Technology Raipur, India

Dr. Anup Kumar Sharma πŸŽ“ is a distinguished mathematician specializing in Sampling Theory and Operations Research. He earned his Ph.D. in Applied Mathematics from IIT(ISM) Dhanbad (2016) under Prof. G. N. Singh, focusing on alternative estimation procedures in sample surveys. He also holds an M.Phil. and M.Sc. in Mathematics and Computing. With extensive teaching experience, he has served as an Ad-Hoc Faculty at NIT Warangal and an Adjunct Assistant Professor at VNIT Nagpur. His expertise spans mathematical modeling, probability theory, and statistical methods. Passionate about research and education, Dr. Sharma continues to contribute to academia. πŸ“ŠπŸ“š

Publication Profile

Scopus

Education

Dr. Anup Kumar Sharma πŸŽ“ is a distinguished mathematician specializing in applied mathematics and statistics. He earned his Ph.D. (2016) from IIT(ISM)-Dhanbad, focusing on alternative estimation procedures in sample surveys under the guidance of Prof. G. N. Singh πŸ“Š. He also holds an M.Phil. (2011) in operations research, an M.Sc. (2010) in mathematical modeling, and a B.Sc. (2007) in mathematics honors. His academic journey began with an I.Sc. (2003) in PCM and matriculation (2001) from Jharkhand. With a passion for mathematical research and statistical methodologies, Dr. Sharma continues to contribute to the field with expertise and dedication. πŸ“–

Experience

Dr. Anup Kumar Sharma πŸŽ“ has extensive teaching experience in applied mathematics across esteemed institutions. He served as an Ad-Hoc Faculty at NIT Warangal (2017-2018), teaching subjects like Mathematics-I, II, IV and Statistical & Numerical Methods to B.Tech students πŸ“š. Prior to that, he was an Adjunct Assistant Professor at VNIT Nagpur (2016-2017), instructing both B.Tech and M.Tech students in Probability Theory, Statistical Methods, and Optimization Techniques πŸ“Š. His journey began as an Assistant Professor at Bengal College of Engineering and Technology (2011-2012), where he taught Mathematics and Numerical Methods to B.Tech and MCA students. βœ¨πŸ“–

Awards

Dr. Anup Kumar Sharma πŸŽ“ has demonstrated exceptional academic excellence throughout his journey. He qualified the All India ISM-Dhanbad M.Sc. Entrance Examination (2008), securing admission to one of India’s premier institutes. His dedication earned him the Merit Cum Means (MCM) Scholarship during his M.Sc. (2008-2010) πŸ“š. Continuing his academic pursuit, he also cleared the All India ISM-Dhanbad M.Phil. Entrance Examination (2011). His research potential was further recognized when he received the prestigious UGC Fellowship for pursuing a Ph.D. in Applied Mathematics (2012) πŸ“Š. Dr. Sharma’s achievements highlight his commitment to excellence in mathematical sciences. ✨

Research Focus

Dr. A. K. Sharma’s research primarily focuses on statistical sampling techniques πŸ“Š, particularly successive sampling, non-response handling, and variance estimation. His work delves into improving estimation procedures, imputation methods, and Bayesian inference for population studies. He has contributed extensively to survey sampling methods, censored data analysis, and reliability modeling πŸ”’, often applying his techniques to public health, quality control, and economic data. His expertise spans Bayesian modeling, hybrid censored data, and progressive sampling strategies. His research is widely published in high-impact journals, emphasizing robust estimation strategies and enhanced statistical modeling approaches for real-world data analysis πŸ“ˆ.

Publication Top Notes

Statistical inference and optimal plans for improved adaptive type-II progressive censored data following Kumaraswamy-G family of distributions

Swapnil Shinkar | Formulation Science | Best Researcher Award

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Swapnil Shinkar | Formulation Science | Best Researcher Award

Mr Swapnil Shinkar, National Institute of Technology Raipur, India

Mr. Swapnil Shinkar is a dedicated statistician and academician pursuing his Ph.D. in Statistics from NIT Raipur. With extensive teaching and research experience, he has served as a Statistician Cum Assistant Professor in various medical institutions, currently at Shri Shankaracharya Institute of Medical Sciences, Bhilai. Proficient in statistical software like SPSS, R, and MINITAB, he specializes in data analysis and research methodology. His work includes publications on queuing models and simulation approaches. Certified in Six Sigma Green Belt and Data Science, he actively contributes to statistical research and medical education. πŸ“šπŸ“ˆ

Publication Profile

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Education

Mr. Swapnil Shinkar πŸŽ“ is currently pursuing a Ph.D. in Statistics from the National Institute of Technology, Raipur, with his thesis submission expected after August 2025. He has already earned a Ph.D. in Statistics from Rashtrasant Tukadoji Maharaj Nagpur University (Notification: January 2024). He completed his M.Sc. in Statistics (2010-2012) and B.Sc. in Statistics (2005-2008) with commendable scores. His academic journey began at Nashik Board, where he completed his H.S.C. and S.S.C. πŸ“Š Proficient in statistical software, he is skilled in SPSS, MINITAB, SyStat, R Programming, and MS Excel, making him a data-driven analytical expert. πŸ“ˆ

Experience

Mr. Swapnil Shinkar πŸŽ“ is a seasoned statistician and academician with extensive experience in teaching and research. He is currently serving as a Statistician Cum Assistant Professor in the Department of Community Medicine at Shri Shankaracharya Institute of Medical Sciences, Bhilai (since July 2024). Previously, he held similar roles at Vedantaa Institute of Medical Sciences, Symbiosis Medical College for Women, and Pt. J. N. M. Medical College, contributing significantly to medical research and education. His journey also includes a Junior Research Fellowship (SERB) at RTM Nagpur University and experience as a Contributory Lecturer, shaping future researchers. πŸ“ŠπŸ“š

Administrative Experience

Mr. Swapnil Shinkar πŸŽ“ has extensive administrative experience in the medical and academic sectors. He served as a Regulatory Officer at Vedantaa Institute of Medical Sciences, Palghar, from March 2023 to June 2024, ensuring compliance and governance. Previously, he held the role of Nodal Officer at the same institute from July 2017 to February 2019, managing key responsibilities. Additionally, he was In-charge of the Medical Record Department at Shri Shankaracharya Institute of Medical Sciences, Bhilai, from September 2016 to June 2017. His leadership and organizational skills have significantly contributed to institutional operations. πŸ₯πŸ“Š

Research Guidance

Mr. Swapnil Shinkar πŸŽ“ has extensive experience in research guidance, particularly in statistical analysis. In the non-medical domain, he has mentored over 30 Ph.D. candidates, providing expert statistical insights. In the medical field, he has guided 15 undergraduate project groups in research planning and statistical analysis. Additionally, he supports more than 100 postgraduate medical candidates annually, assisting them in data analysis and research methodology. His expertise in statistics plays a crucial role in shaping high-quality research across multiple disciplines, making him a sought-after mentor and advisor in academic and medical research. πŸ“ŠπŸ“š

Research Focus

Dr. Swapnil Shinkar’s research primarily focuses on public health epidemiology πŸ₯, community medicine 🌍, and infectious disease surveillance 🦠. His work spans hypertension prevalence among tribal populations, HIV risk factors, oral cancer screening, and COVID-19 studies. Additionally, he has contributed to biostatistics education, tuberculosis screening, and child development programs. His expertise extends to healthcare accessibility πŸš‘, disease prevention πŸ›‘, and health policy evaluation πŸ“Š. Through cross-sectional and longitudinal studies, he provides critical insights into health disparities and medical education πŸ“–. His multidisciplinary approach helps bridge the gap between epidemiology, healthcare interventions, and public health policies.

Publication Top Notes

Assessment of Prevalence of Hypertension and its Risk Factors among Adult Tribal Population Residing in Lohandiguda Block of Bastar District of Chhattisgarh

Status of socio-demographic and behavioral profile of younger and older HIV high risk groups in Chhattisgarh

Role of fluorescence imaging device in screening of oral cancer: A cross-sectional study in chhattisgarh population

Assessment of knowledge about adverse events following immunization among health care workers of Raipur city

Assessment of clinical profile and factors affecting outcome of COVID-19 patient in Chhattisgarh state

Systematic screening of pulmonary tuberculosis among HIV high risk groups in two districts of Chhattisgarh: a feasibility study

Item test analysis to assess the difficulty index for biostatistics, epidemiology, and demography module of undergraduate medical students of Raipur, Chhattisgarh, India

Johan Alexander Villada Ramos | Drug Discovery and Development | Best Researcher Award

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Johan Alexander Villada Ramos | Drug Discovery and Development | Best Researcher Award

Prof. Johan Alexander Villada Ramos, Universidad del QuindΓ­o, Colombia

Johan Alexander Villada Ramos is a Ph.D. candidate in Sciences at Universidad del QuindΓ­o, specializing in natural alternatives to synthetic pesticides 🌱🦠. He holds a Master’s in Biomedical Sciences, earning a meritorious distinction πŸ…, and a Biology degree. His research spans bioactive plant compounds, cancer prevention, and lipid metabolism. As a university lecturer πŸ“š, he teaches molecular biology and biochemistry. With multiple research projects, publications, and awards, including the Carlos Corredor Pereira National Award in Biomedical Sciences (2024) πŸ†, Johan is a dedicated scientist pushing the boundaries of biotechnology and microbiology.

Publication Profile

Orcid

Education

Prof. Johan Alexander Villada Ramos πŸŽ“ is a doctoral student in Sciences at the Universidad del QuindΓ­o, focusing on the bioactivity of free and microencapsulated Tagetes erecta L. 🌿 as an alternative to synthetic pesticides against the avocado weevil Heilipus lauri πŸ₯‘. He earned a Master’s in Biomedical Sciences (2018–2022) with meritorious distinction πŸ…, researching the effects of Passiflora edulis extract on lipid metabolism enzymes in human colorectal adenocarcinoma cells. His Biology degree (2013–2018) involved evaluating the antibacterial activity of Tagetes patula L. against Ralstonia solanacearum. Additionally, he trained in microbiology and biotechnology lab preparation at SENA (2017–2018) πŸ”¬.

Professional Achievements

Prof. Johan Alexander Villada Ramos πŸŽ“ has made significant contributions to biomedical and biological research. He earned a meritorious distinction πŸ… for his master’s research on Passiflora edulis 🍊 and its effects on lipid metabolism in colorectal cancer cells. Holding a Biology degree πŸ”¬, his studies focused on the antimicrobial activity of plant extracts against pathogens. He has been actively involved in high-impact research projects πŸ“š at prestigious institutions, including Pontificia Universidad Javeriana and Universidad del QuindΓ­o. His work continues to advance natural alternatives 🌱 in disease management, reinforcing his dedication to scientific discovery and innovation.

Leadership in Academia

Prof. Johan Alexander Villada Ramos πŸŽ“ is a dedicated academic leader, serving as a lecturer πŸ“– in molecular biology, biochemistry, and microbiology πŸ”¬ at Universidad del QuindΓ­o. Passionate about education, he actively contributes to curriculum development 🏫, ensuring that students receive up-to-date and high-quality training. Additionally, he plays a key role in laboratory training πŸ§ͺ, equipping future scientists with essential research skills. His commitment to fostering scientific knowledge and practical expertise strengthens the university’s academic foundation, inspiring students to excel in the fields of biotechnology, microbiology, and biomedical sciences. πŸš€

Research Focus

Prof. Johan Alexander Villada Ramos specializes in natural product chemistry, biochemistry, and phytopharmacology, with a strong focus on the antioxidant, antibacterial, and anticancer properties of plant extracts. His research explores bioactive compounds from medicinal plants, such as Coffea arabica β˜•, Passiflora edulis πŸƒ, and Tagetes patula 🌼, investigating their effects on oxidative stress, protein oxidation, and bacterial inhibition 🦠. His studies contribute to pharmaceutical development, food science, and biomedicine, aiming to harness plant-derived compounds for disease prevention and therapeutic applications. πŸ₯

Publication Top Notes

Potencial antioxidante del extracto de hoja de Coffea arabica sobre la lipoperoxidaciΓ³n y oxidaciΓ³n proteica en un modelo de mΓΊsculo bovino

Identification of potential bioactive compounds of Passiflora edulis leaf extract against colon adenocarcinoma cells

Evaluation of antibacterial activity of extract and essential oil of Tagetes patula L. in vitro against Ralstonia solanacearum biovar 2

Salih PAŞA | Pharmaceutical Chemistry | Best Researcher Award

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Salih PAŞA | Pharmaceutical Chemistry | Best Researcher Award

Assoc. Prof. Dr Salih PAŞA, Afyon Kocatepe University, Turkey

Assoc. Prof. Dr. Salih PAŞA is an esteemed inorganic chemist specializing in pharmaceutical chemistry, anticancer research, and catalytic investigations. He earned his BSc (2007), MSc (2010), and PhD (2014) in Inorganic Chemistry. With extensive expertise in boron compounds, biodegradable polymers, and spectroscopy techniques, he has significantly contributed to Schiff base ligand coordination chemistry and Suzuki coupling reactions. Currently, he serves at Afyon Kocatepe University, Turkey. His pioneering work on boron-based cancer therapeutics and water purification underscores his impactful research.

Publication Profile

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Education

Assoc. Prof. Dr. Salih Paşa πŸŽ“ has built a strong academic foundation in chemistry, specializing in inorganic chemistry. He earned his Bachelor of Science (BSc) degree in Chemistry (2002-2007) πŸ§ͺ, followed by a Master of Science (MSc) in Inorganic Chemistry (2007-2010) βš—οΈ. His passion for research and scientific exploration led him to pursue a PhD in Inorganic Chemistry (2010-2014) πŸ”¬. Through years of dedication, he has contributed significantly to the field, advancing knowledge in chemical sciences. His academic journey reflects a commitment to excellence, making valuable contributions to research and education in inorganic chemistry. πŸ“šβœ¨

Research Interest

Assoc. Prof. Dr. Salih Paşa πŸ”¬ focuses his research on the coordination chemistry of polydentate ligands, particularly thio Schiff bases and their transition metal complexes. His work explores their analytical applications, synthetic utility, and biological activity πŸ§ͺ. He is especially interested in palladium complexes of (N,O,S) and (N,O,P) type ligands, known for their catalytic role in Suzuki coupling reactions βš—οΈ. Additionally, he investigates boronic acids, unique boron-based compounds that act as Lewis acids, forming reversible covalent bonds with sugars, amino acids, and other Lewis base donors. His studies contribute significantly to advancing inorganic and organometallic chemistry. 🌟

Instrumental Expertise

Assoc. Prof. Dr. Salih Paşa πŸŽ“ possesses extensive expertise in advanced analytical instrumentation, crucial for modern chemical research. He is highly skilled in techniques such as LC-MS/MS, NMR (ΒΉΒ³C & ΒΉH), XRD, SEM, FTIR, UV-Vis, AAS, GC, and thermal analysis πŸ”¬βš—οΈ. His proficiency in single-crystal X-ray diffraction studies allows for precise molecular structure determination, enhancing the understanding of complex chemical compounds πŸ§ͺ. With a strong command of these instrumental techniques, he contributes significantly to inorganic and materials chemistry, facilitating groundbreaking research in coordination chemistry, catalysis, and boron-based compounds. His expertise ensures high precision in chemical analysis.

Future Potential

Assoc. Prof. Dr. Salih Paşa πŸŒ±πŸ”¬ is actively exploring innovative research in sustainable chemistry and materials science. His recent work focuses on developing biodegradable polymer materials from waste potato starch, contributing to green chemistry and environmental sustainability πŸŒβ™»οΈ. Additionally, his research on the polymerization of Schiff base ligands opens new possibilities in advanced materials, with potential applications in catalysis, drug delivery, and nanotechnology βš—οΈ. Through his dedication to eco-friendly solutions and cutting-edge polymer research, he aims to revolutionize materials science, creating sustainable alternatives that benefit both industry and the environment. His work paves the way for a greener future. 🌟

Scientific Recognition

Assoc. Prof. Dr. Salih Paşa πŸ“šπŸ”¬ has earned significant scientific recognition through multiple publications in high-impact SCI journals, including Chinese Chemical Letters, Inorganica Chimica Acta, Polyhedron, Applied Catalysis A, Applied Organometallic Chemistry, and Tetrahedron: Asymmetry πŸ†. His collaborations with international researchers, particularly from Kazakh-British Technical University, highlight his global academic influence 🌍🀝. His contributions to catalysis, drug discovery, and polymer chemistry reinforce the importance of his research, driving advancements in these fields. Through his dedication and impactful studies, he continues to shape the future of inorganic and organometallic chemistry. βš—οΈβœ¨

Research Focus

Assoc. Prof. Dr. Salih Paşa’s research primarily focuses on green chemistry 🌱, nanotechnology πŸ§ͺ, and materials science πŸ—οΈ. His work includes the green synthesis of nanoparticles βš›οΈ, biodegradable materials for eco-friendly applications 🌍, and catalysis in organic synthesis πŸ”¬. He has contributed significantly to biodegradable food packaging 🍽️, anticancer drug discovery πŸ₯, and advanced polymer materials 🏭. His studies on Schiff bases 🧬, metal complexes βš—οΈ, and biocompatible materials πŸ”„ highlight his expertise in designing sustainable and functional materials with industrial and biomedical applications. His work aligns with pharmaceutical chemistry πŸ’Š, material engineering 🏒, and green nanotechnology 🌿.

Publication Top Notes

Green synthesis of silver nanoparticles via Cynara scolymus leaf extracts: The characterization, anticancer potential with photodynamic therapy in MCF7 cells

The fabrication of bilayer polylactic acid films from cross-linked starch as eco-friendly biodegradable materials: synthesis, characterization, mechanical and physical properties

Silane doped biodegradable starch-PLA bilayer films for food packaging applications: Mechanical, thermal, barrier and biodegradability properties

Synthesis, characterization and catalytic behavior in the Suzuki reaction of Schiff base and its complexes and the optical properties of nickel complex used in the fabrication …

Flavonoids fromΒ SideritisΒ Species: Human Monoamine Oxidase (hMAO) Inhibitory Activities, Molecular Docking Studies and Crystal Structure of Xanthomicrol

Synthesis, characterization, electrochemical behaviors and applications in the Suzuki–Miyaura cross-coupling reactions of N2S2O2 thio Schiff base ligand and its Cu (II), Co …

Physicochemical properties for food packaging and toxicity behaviors against healthy cells of environmentally friendly biocompatible starch/citric acid/polyvinyl alcohol …

The synthesis of boronic-imine structured compounds and identification of their anticancer, antimicrobial and antioxidant activities

Structural investigation of raw clinoptilolite over the Pb2+ adsorption process from phosphoric acid

Tamara Shushpanova | Drug Discovery and Development | Best Researcher Award

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Tamara Shushpanova | Drug Discovery and Development | Best Researcher Award

Prof Tamara Shushpanova,Tomsk National Research Medical Center of Russian Academy of Science, Russia

🧠 Tamara Vladimirovna Shushpanova – a leading researcher at the Tomsk National Research Medical Center of the Russian Academy of Sciences, specializes in neurochemistry and neuropharmacology πŸ§ͺ. Her research focuses on the benzodiazepine receptor system in addiction, studying ligand binding in alcohol dependence using molecular docking with GABAA receptor sites. She has authored 100+ scientific papers, holds 5 patents, and has contributed to major conferences (EPA, WPA, ECNP) πŸ“š. With extensive work on innovative molecules Halodif and Halonal, her contributions drive advancements in psychiatry, pharmacology, and addiction medicine. πŸŽ“πŸ”¬

Publication Profile

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Education

Prof. Tamara Shushpanova is a dedicated researcher at the Laboratory of Neurobiology, Russian Academy of Sciences 🧠. Her work spans Neurochemistry, Clinical Pharmacology, Psychiatry, and Addiction Medicine πŸ₯. She has contributed significantly to understanding ethanol’s effects on the human brain and targeted therapies for correction. Notable publications include Molecular-Cellular Targets of the Pathogenetic Action of Ethanol in the Human Brain in Ontogenesis, Halonal: An Original Benzoylated Phenobarbital Derivative Anticonvulsant, and A Novel Urea Derivative Anticonvulsant πŸ“–. Through her research, she advances treatments for neurological disorders, enhancing clinical applications and therapeutic strategies πŸ”¬.

Professional Memberships

Prof. Tamara Shushpanova is an active member of several prestigious professional organizations in neuroscience and psychiatry 🌍. She is affiliated with the European Psychiatric Association (EPA), the World Psychiatric Association (WPA), and the European College of Neuropsychopharmacology (ECNP) πŸ₯. These memberships connect her with leading experts, enabling collaboration on cutting-edge research in neurochemistry, clinical pharmacology, and addiction medicine πŸ”¬. Through these associations, she contributes to global discussions on mental health, pharmacological advancements, and innovative therapeutic strategies 🧠. Her involvement ensures she remains at the forefront of scientific progress, shaping the future of psychiatry and neurobiology πŸ“š.

Academic Research

Prof. Tamara Shushpanova actively shares her research on ResearchGate πŸ“š, where her contributions to neurochemistry, clinical pharmacology, and psychiatry are accessible to the global scientific community 🌍. Her profile serves as a platform for collaboration, knowledge exchange, and engagement with fellow researchers πŸ”¬. Additionally, she provides links to relevant identification and certification documents, ensuring transparency and credibility in her academic and professional endeavors πŸ…. By maintaining an active digital presence, she enhances the visibility of her work, fostering innovation and scientific progress in the field of neuroscience and pharmacology 🧠

Research Focus

Tamara Shushpanova is a distinguished researcher specializing in neuropharmacology πŸ§ πŸ’Š, medicinal chemistry βš—οΈ, and molecular neuroscience πŸ”¬. Her work primarily focuses on the development of novel anticonvulsants, particularly targeting GABAA receptors for conditions like epilepsy and alcohol withdrawal syndrome. She explores drug delivery systems πŸš€, enantiomeric drug behavior πŸ”„, and neuroimmune interactions 🧬. Her research spans molecular docking, chemometric analysis, and in vivo pharmacological studies, contributing to innovative treatments for neurological disorders. Additionally, she investigates prenatal alcohol exposure 🍷🚼 and its impact on brain development, emphasizing glioblasts and neuronal receptor formation in neuroimmune regulation.

Publication Top Notes

Halonal, an original benzoylated phenobarbital derivative anticonvulsant: in vivo evaluation, chemometric and molecular docking studies of enantiomers

Innovative Technology of the Self-Emulsifying Drug Delivery System of the Anticonvulsant Galodif

Synthesis and Properties of a Water-Soluble Ureide Derived from GΠ°lodif and Succinic Acid

A novel urea derivative anticonvulsant: In vivo biological evaluation, radioreceptor analysis of GABAA receptors and molecular docking studies of enantiomers

Effect of original anticonvulsant ortho-fluoro-benzonal on immune cells functional properties at chronic ethanol intoxication

The original anticonvulsant meta-Cl-benzhydrylurea (m-CL-BHM) induces of the liver monooxygenase system and stimulates the neuroimmune response in behavioral disorders of alcoholic origin

EMBRIOGENESIS OF NEURONAL ELENENTS (GLIOBLASTS AND GABAA RECEPTORS) IN THE HUMAN BRAIN NEUROIMMUNE SYSTEM UNDER PRENATAL ALCOHOL EXPOSURE

An Innovatory GABA Receptor Modulator and Liver Oxidase System Microsomal Cytochrome P450 Activator in Patients with Alcoholism

Pranab Das | Bioinformatics in Pharmaceuticals | Best Scholar Award

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Pranab Das | Bioinformatics in Pharmaceuticals | Best Scholar Award

Mr Pranab Das, NIT Nagaland, India

Pranab Das is an Assistant Professor in the Department of Computer Science at Kumar Bhaskar Varma Sanskrit and Ancient Studies University, Assam. He holds an M.Tech in Computer Science from NIT Meghalaya and has submitted his Ph.D. thesis at NIT Nagaland. His research focuses on computational biology, drug discovery, and machine learning πŸ§¬πŸ€–. With multiple SCIE and SCI-indexed publications in top journals, he has made significant contributions to predicting drug functions and adverse reactions. Additionally, he has presented at international conferences and authored book chapters πŸ“š. He has qualified JRF, NET, and SLET, showcasing his academic excellence.

Publication Profile

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Education

Pranab Das is a dedicated researcher in Computer Science and Engineering (CSE), currently awaiting the completion of his Ph.D. (2021-2024) from the National Institute of Technology (NIT) Nagaland, where he achieved an impressive 9.23 CGPA πŸŽ“. He holds an M.Tech in CSE (2019-2021) from NIT Meghalaya with a 9.27 CGPA πŸ† and a BE in CSE (2015-2018) from Jorhat Engineering College, securing 73.89% πŸ“š. His academic journey began with a Diploma (70%) from Assam Engineering Institute and 10th grade (66.17%) from Barnibari Milan High School. Additionally, he has cleared JRF, NET, and SLET πŸ”¬βœ….

Project Work

Pranab Das is an accomplished researcher specializing in computational biology and drug discovery πŸ”¬πŸ’Š. His latest work, “MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions”, is published in IEEE Transactions on Computational Biology and Bioinformatics (2025) πŸ“„. He has also co-authored “BRMCF: Binary Relevance and MLSMOTE-Based Computational Framework” (2022) and “Advances in Predicting Drug Functions” (2023). His research extends to machine learning applications in pharmacology, including drug classification and side-effect prediction πŸ§ πŸ“Š. With publications in high-impact journals (IF: 2.4-23.8) πŸ“ˆ, Pranab contributes significantly to AI-driven drug discovery πŸš€.

Area of Intrest

Pranab Das is deeply passionate about cutting-edge technologies in Artificial Intelligence (AI) πŸ€–, Machine Learning (ML) πŸ“Š, and Deep Learning (DL) 🧠, with a strong focus on their applications in Bioinformatics πŸ”¬. His research explores innovative AI-driven solutions for drug discovery, predictive modeling, and computational biology. By leveraging ML and DL techniques, he aims to enhance drug function prediction, side-effect analysis, and disease modeling. His interdisciplinary approach bridges technology and life sciences, driving impactful advancements in healthcare and pharmaceuticals πŸ’Š. Pranab continues to push the boundaries of AI in biomedical research, shaping the future of intelligent drug discovery πŸš€.

Research Focus

Pranab Das is a researcher specializing in computational biology, bioinformatics, and artificial intelligence in drug discovery πŸ§¬πŸ’». His work primarily focuses on predicting drug functions, adverse drug reactions, and drug-disease associations using multi-label machine learning and deep neural networks πŸ€–πŸ§ͺ. He has contributed extensively to the field through innovative frameworks like MLCNNF, K1K2NN, and BRMCF, integrating chemical structures, gene ontology, and biological properties for enhanced drug prediction accuracy πŸ₯πŸ”¬. His research advances COVID-19 drug safety, pharmacology, and computational chemistry, making significant contributions to the intersection of AI and healthcare πŸ₯πŸ“Š.

Publication Top Notes

MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions From the Chemical Structure

A novel neural network-based nearest neighbor approach for drug function prediction from chemical structures

BRMCF : Binary Relevance and MLSMOTE based Computational Framework to Predict Drug Functions from Chemical and Biological Properties of Drugs.

A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs

Inceptionv3‐LSTM‐COV: A multi‐label framework for identifying adverse reactions to COVID medicine from chemical conformers based on Inceptionv3 and long short‐term memory

K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects

Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research

An Extensive Survey on the Use of Supervised Machine Learning Techniques in the Past Two Decades for Prediction of Drug Side Effects

MLCNN‐COV: A multilabel convolutional neural network‐based framework to identify negative COVID medicine responses from the chemical three‐dimensional conformer

Ali Raza | Nanomedicine | Best Researcher Award

Published on by Top Pharmaceutical

Ali Raza | Nanomedicine | Best Researcher Award

Mr Ali Raza, Minhaj University Lahore, Pakistan

Ali Raza is a dedicated mathematician with an M.Phil in Applied Mathematics from the University of Engineering and Technology, Lahore. His research focuses on fractional calculus, fluid dynamics, and mathematical modeling. His M.Phil thesis explored magnetohydrodynamics convection fluid flow using Atangana-Baleanu fractional derivatives. As a reviewer for prestigious international journals, he has significantly contributed to the field. With numerous high-impact publications, Ali Raza continues to advance numerical solutions for complex differential equations, enhancing scientific understanding in thermal engineering and mechanics. πŸ“šβœ¨

Publication Profile

Scopus

Education

Ali Raza πŸŽ“ is a dedicated mathematician with a strong academic background in applied mathematics. He earned his M.Phil in Applied Mathematics from the University of Engineering and Technology, Lahore (2019–2021) πŸ“Š, where he honed his analytical and problem-solving skills. Prior to that, he completed his B.S. (Hons) in Mathematics at the University of Gujrat, Pakistan (2013–2018) βž—, building a solid foundation in mathematical theories and applications. His passion for numbers and logical reasoning has driven him to excel in the field, contributing to advanced research and innovative solutions in mathematics. πŸ”’βœ¨

Research Interests

Ali Raza πŸ”’ is deeply passionate about advanced mathematical concepts and their real-world applications. His research interests include Fractional Calculus πŸ“, where he explores complex mathematical structures, and Fluid Dynamics 🌊, focusing on the movement of liquids and gases. He is also engaged in the Numerical Solution of PDEs πŸ–₯️, utilizing computational methods to solve complex equations. His expertise extends to Mechanics βš™οΈ, Mathematical Modelling πŸ“Š, and Differential Equations and Transforms πŸ”„, contributing to innovative problem-solving in science and engineering. Through his research, Ali aims to develop efficient mathematical techniques to tackle real-world challenges.

Work Experience

Ali Raza πŸŽ“ has valuable teaching experience as a Lecturer of Mathematics, shaping young minds with his expertise. He began his career at the Sialkot College of Technology (2017–2018) πŸ“, where he taught advanced mathematical concepts and problem-solving techniques. He then joined the Punjab Group of Colleges, Zafarwal (2018–2019) 🏫, further refining his teaching methods and inspiring students with his passion for mathematics. His dedication to education, coupled with his strong analytical skills, has made a significant impact on his students. Ali continues to contribute to the academic field, fostering a love for mathematics among learners. πŸ”’βœ¨

Research Focus

Ali Raza’s research primarily focuses on geopolymer concrete, sustainable construction materials, and composite materials πŸ—οΈπŸŒ±. His work explores the mechanical, microstructural, and thermal properties of innovative cementitious materials, including fly ash, metakaolin, recycled aggregates, graphene-based composites, and nanomaterials πŸ”¬βš™οΈ. He has contributed to advancements in low-carbon concrete, fiber-reinforced composites, and self-compacting concrete for enhanced durability and sustainability 🌍. His studies also extend to heat transfer analysis in nanofluids and structural retrofitting with eco-friendly materials 🏒πŸ”₯. His research is instrumental in developing high-performance, environmentally friendly alternatives for modern construction technologies πŸš€.

Publication Top Notes

Combined effects of elevated temperature, sulfates and chlorides on performance of fly ash and metakaolin-based recycled aggregate geopolymer concrete

Microstructural and thermal characterization of polyethylene and basalt fiber-reinforced natural zeolite-based engineered geopolymer composites

Mechanical and microstructural characteristics of fly ash-based concrete having copper-zinc oxide and graphitic carbon nitride hybrid composites

Fractional analysis for heat consumption of CuO-based hybrid nanofluid via integral transform

Mechanical and microstructural characterization of molybdenum tailings-, GGBS- and recycled aggregate based-low carbon self-compacting concrete

Material characterization of high-ductility geopolymer composites developed with industrial and construction & demolition wastes

Mechanical strength and mineralogical properties of fiber-reinforced geopolymer composites with multi-walled carbon nanotubes

Mechanical and microstructural characterization of recycled aggregate geopolymer concrete having high strength and recycled tire steel wire fibers

Performance of retrofitted eccentrically loaded GFRP-reinforced electronic waste concrete components having synthetic fibers

Zeynep Kalaycıoğlu | Pharmaceutical Chemistry | Best Researcher Award

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Zeynep Kalaycıoğlu | Pharmaceutical Chemistry | Best Researcher Award

Assoc. Prof. Dr Zeynep Kalaycıoğlu, Istanbul Technical University, Turkey

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu is a distinguished researcher and lecturer at Istanbul Technical University πŸ›οΈ, specializing in analytical chemistry πŸ§ͺ. Her expertise spans metal/metal oxide nanoparticle synthesis, drug-protein interactions, and biopolymeric composite films for food packaging and wound dressing 🌱. With over 30 high-impact publications πŸ“„, two book chapters πŸ“š, and multiple research projects, she has significantly contributed to multidisciplinary collaborations in materials science, biochemistry, and pharmaceutical sciences πŸ†. Currently, she leads a funded project on green synthesis of bioactive nanoparticles from olive mill wastewater 🌿, promoting sustainability in scientific innovation. πŸš€

Publication Profile

Scopus

Professional Background

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu is an academic researcher and lecturer at Istanbul Technical University, specializing in analytical chemistry πŸ”¬. Her Ph.D. focused on isolating and characterizing bioactive compounds from natural products 🌿, developing advanced analytical techniques, and exploring biopolymer applications. With extensive experience in teaching analytical chemistry labs 🏫, she has guided students through complex experimental techniques. Her research interests span metal/metal oxide nanoparticle synthesis βš›οΈ, drug-protein interactions πŸ’Š, and biopolymeric composite films. Dr. KalaycΔ±oğlu collaborates with multidisciplinary teams across materials science, biochemistry, and pharmaceutical sciences, contributing to cutting-edge advancements in her field πŸ”.

Professional Memberships

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu is a dedicated member of the Turkish Chemical Society βš—οΈ and an expert in analytical chemistry πŸ”¬. Her research focuses on metal/metal oxide nanoparticle synthesis βš›οΈ, drug-protein interactions πŸ’Š, and biopolymeric composite films for food packaging πŸ₯« and wound dressing 🩹. She also specializes in capillary electrophoresis, statistical analysis πŸ“Š, food analysis 🍎, and water remediation πŸ’§. Additionally, her work involves molecular docking 🧬 to explore chemical interactions at the molecular level. Through her multidisciplinary research, Dr. KalaycΔ±oğlu continues to contribute innovative solutions to chemistry, materials science, and pharmaceutical applications.

Academic Research

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu actively shares her research through various academic platforms 🌐. Her profiles on Google Scholar πŸ“š, ResearchGate πŸ”¬, and LinkedIn πŸ’Ό showcase her contributions to analytical chemistry and multidisciplinary studies. These platforms highlight her publications, collaborations, and scientific impact. Additionally, she maintains a repository of relevant ID and certification documents πŸ†, ensuring transparency and credibility in her academic journey. By engaging with global researchers and institutions, Dr. KalaycΔ±oğlu continues to advance knowledge in nanoparticle synthesis, drug-protein interactions, and biopolymeric applications, making significant contributions to science and technology.

Awards

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu is honored to be considered for prestigious scientific awards πŸ†. With her extensive contributions to analytical chemistry, nanoparticle synthesis βš›οΈ, and biopolymeric applications 🌿, she aligns with categories such as the Distinguished Scientist Award, Outstanding Scientist Award, and Excellence in Research πŸ”¬. As a dedicated educator and innovator, she also qualifies for the Best Faculty Award πŸŽ“ and Best Innovation Award πŸ’‘. Passionate about advancing science and mentoring future researchers, she seeks recognition that reflects her commitment to groundbreaking discoveries and impactful contributions to multidisciplinary research.

Research Focus

Assoc. Prof. Dr. Zeynep KalaycΔ±oğlu’s research primarily focuses on biophysical chemistry πŸ§ͺ, particularly the interaction of biomolecules 🧬 with pharmaceutical and polymeric compounds. Her work spans protein-ligand binding πŸ”¬, spectroscopic characterization πŸ“Š, and molecular docking analysis πŸ–₯️ to understand biochemical interactions at a molecular level. She also explores nanomaterials βš›οΈ for biomedical applications, including wound healing hydrogels 🩹 and drug delivery systems πŸ’Š. Her expertise in capillary electrophoresis ⚑ further enhances the understanding of biomolecular interactions. Through her interdisciplinary approach, she contributes to advancements in biomedical engineering πŸ₯, materials science πŸ—οΈ, and pharmaceutical research 🌱.

Publication Top Notes

Binding interaction between sodium carboxymethyl cellulose and serum albumin: Insights from multi-spectroscopy methods, rheological characterization and molecular docking analysis

Foam-based antibacterial hydrogel composed of carboxymethyl cellulose/polyvinyl alcohol/cerium oxide nanoparticles for potential wound dressing

Capillary Electrophoresis-Frontal Analysis (CE-FA) and Molecular Docking Studies on the Albumin-Binding Properties of Dopamine and Serotonin

Minahil Khalid | Nanomedicine | Best Researcher Award

Published on by Top Pharmaceutical

Minahil Khalid | Nanomedicine | Best Researcher Award

Mrs Minahil Khalid, The Women University Multan, Pakistan

Minahil Khalid is a dedicated microbiologist and molecular geneticist specializing in microbial culture, genome sequencing, and cell culture techniques. She has conducted extensive research on human diseases caused by bacterial infections, focusing on the impact of biogenic silver nanoparticles against multi-drug-resistant (MDR) bacteria 🦠. Her groundbreaking study on silver nanoparticles enhancing bioactive metabolites in medicinal plants was published in RSC Advances πŸ“–. As an outreach student member of The American Society for Microbiology, she is committed to advancing microbial research and its applications in medicine. Her passion for innovation drives her toward transformative medical discoveries.

Publication Profile

Academic and Professional Background

Minahil Khalid πŸŽ“ is a dedicated academic and professional with a strong background in her field. She holds prestigious educational qualifications πŸ“œ and has gained extensive experience through her work in academia and industry. With a passion for research and innovation πŸ’‘, she has contributed significantly to her domain, earning recognition for her achievements πŸ†. Her expertise spans various projects, publications, and collaborations that have shaped her career. Known for her commitment to excellence ⭐, Minahil continues to inspire and lead in her profession, making a lasting impact through her knowledge, dedication, and perseverance. πŸš€

Professional Memberships

Minahil Khalid πŸŽ“ is an active member of several prestigious professional organizations and societies relevant to her field. She is affiliated with renowned associations 🀝 that foster research, innovation, and professional growth. Through these memberships, she stays updated with industry trends πŸ“ˆ, collaborates with experts 🌍, and contributes to knowledge-sharing initiatives. Her involvement in these organizations enhances her expertise and expands her professional network πŸ”—. Committed to lifelong learning πŸ“š, Minahil actively participates in conferences, workshops, and seminars to refine her skills and stay at the forefront of advancements in her domain. πŸš€

Research and Innovations

Minahil Khalid πŸŽ“ has actively contributed to research, completing multiple projects πŸ”¬ and currently working on several ongoing studies. Her work is well-recognized, with citations in prestigious databases like SCI and Scopus πŸ“Š. She has collaborated on numerous consultancy and industry-sponsored projects 🀝, showcasing her practical expertise. As a prolific author πŸ“–, she has published books with ISBN numbers and contributed extensively to indexed journals πŸ“. Her innovative spirit is reflected in her published and pending patents πŸ’‘. She also holds editorial appointments πŸ… and has engaged in significant research collaborations worldwide 🌍, further enriching her academic impact. πŸš€

Industry Engagement

Minahil Khalid πŸŽ“ currently has no reported collaborations with academic institutions, industry partners, or interdisciplinary teams. However, she recognizes the importance of collaborative research 🀝 in driving scientific advancements πŸ”¬ and securing funding opportunities πŸ’°. Engaging in external partnerships enhances knowledge exchange, fosters innovation πŸ’‘, and expands research impact 🌍. As she progresses in her career, Minahil aims to establish meaningful collaborations that contribute to cutting-edge discoveries πŸš€. Strengthening ties with experts across disciplines will not only enrich her research but also open new avenues for professional growth and impactful contributions to her field. πŸ“š

Research Focus

Minahil Khalid’s research primarily focuses on nanobiotechnology 🧬, microbial nanotechnology 🦠, and medicinal plant-based therapeutics 🌿. Her work explores the microbial synthesis of silver nanoparticles βš—οΈ and their role in enhancing the bioactivity of phytochemicals. She integrates biotechnology and pharmacognosy to develop eco-friendly and effective therapeutic agents πŸŒπŸ’Š. This interdisciplinary research has applications in drug discovery, antimicrobial resistance, and nanomedicine πŸ₯. Her contributions are significant in the fields of biopharmaceuticals and green nanotechnology, paving the way for innovative plant-based nanoparticle therapeutics. πŸŒ±πŸ”¬

Publication Top Notes

Microbial mediated silver nanoparticles enhance the potential of bioactive metabolites in the medicinal plant Linum usitatissimum

Global, regional, and national stillbirths at 20 weeks’ gestation or longer in 204 countries and territories, 1990–2021: findings from the Global Burden of Disease Study 2021

Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021