Majid Hashempour | Statistics | Best Scholar Award

Published on 04/01/202504/01/2025 by Popular EngineerLeave a Comment

Assist. Prof. Dr Majid Hashempour | Statistics | Best Scholar Award

Academic faculty of the university,University of Hormozgan,Iran

Majid Hashempour is an Assistant Professor in the Department of Statistics, Faculty of Basic Sciences, at Hormozgan University, Iran. With a deep expertise in statistical inference, he has contributed significantly to the development of statistical models, focusing primarily on cumulative residual entropy (extropy) and its applications in various fields. He completed his Ph.D. in Statistics at Ferdowsi University of Mashhad in 2016, following his M.Sc. in Mathematical Statistics from Shiraz University. Dr. Hashempour has a rich academic career, teaching at university level and collaborating with researchers worldwide. His scholarly work focuses on the creation of dynamic statistical models for analyzing inaccuracy, reliability, and survival data. He is widely published in leading statistical journals and continues to make notable contributions to statistical theory and applications.

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Education

Dr. Majid Hashempour holds a Bachelor’s degree in Statistics from Ferdowsi University of Mashhad (1997-2002), an M.Sc. in Mathematical Statistics from Shiraz University (2002-2004), and a Ph.D. in Statistics with a focus on Statistical Inference from Ferdowsi University of Mashhad (2012-2016). His doctoral thesis was titled “Dynamic Version of Weighted Cumulative Residual Extropy and Its Applications.” During his academic journey, he specialized in the study of extropy, a measure of uncertainty and inaccuracy, which he later applied to dynamic systems, survival analysis, and statistical modeling. His education laid the foundation for his expertise in theoretical and applied statistics, contributing significantly to his current role as an assistant professor and a researcher in statistical inference.

Experience

Dr. Majid Hashempour is currently serving as an Assistant Professor at Hormozgan University, where he has been teaching and conducting research since his appointment. He is involved in the Department of Statistics, Faculty of Basic Sciences, and has a reputation for his rigorous research in statistical inference, particularly in areas concerning extropy, residual analysis, and reliability modeling. Dr. Hashempour’s academic career has been marked by a commitment to educating the next generation of statisticians while pursuing significant scholarly research. He collaborates with a network of national and international researchers, contributing to numerous high-impact journal publications. Beyond teaching, Dr. Hashempour is active in guiding graduate students and conducting workshops in advanced statistical methods. His experience spans both academic and applied statistics, including the development of statistical tools for real-world applications like survival data analysis and risk assessment.

Research Focus

Dr. Hashempour’s research primarily revolves around the field of statistical inference, with a particular focus on extropy-based models and their dynamic versions. Extropy, a measure of inaccuracy and uncertainty, serves as a core concept in his work, with applications ranging from reliability analysis to survival modeling. He is particularly interested in dynamic versions of cumulative residual extropy and past inaccuracy measures, exploring their properties, applications, and estimation techniques. His work often involves advanced statistical methods for analyzing order statistics, failure-time data, and reliability systems. Additionally, he explores the development of new lifetime distributions, such as the two-parameter extensions of the half-logistic family, and investigates their theoretical and practical properties. Dr. Hashempour’s research also includes applications in various industries, such as aircraft maintenance data, where statistical models are applied to assess risks and optimize decision-making processes. His contributions continue to shape statistical theory and practice.

Publications

Dynamic Version of Weighted Cumulative Residual Extropy and Its Applications 📊📈
Dynamic Version of Past Inaccuracy Measure Under PRHR Model Based on Extropy 🔍💡
Extropy-Based Dynamic Cumulative Residual Inaccuracy Measure: Properties and Applications 🧠🔢
Extropy: Dynamic Cumulative Past and Residual Inaccuracy Measures with Applications 📉🧮
On Weighted Version of Dynamic Cumulative Residual Inaccuracy Measure Based on Extropy 📊📝
Modified Cumulative Extropies of Doubly Truncated Random Variables 🔢🔒
A New Two-Parameter Extension of Half-Logistic Distribution: Properties, Applications and Different Methods of Estimations 📉🎲
On the Dynamic Residual Measure of Inaccuracy Based on Extropy in Order Statistics 📚📊
Extropy-Based Inaccuracy Measure in Order Statistics 🧮📈
A New Lindley Extension: Estimation, Risk Assessment and Analysis Under Bimodal Right Skewed Precipitation Data 🌧️🔬
Extropy: Characterizations and Dynamic Versions 📊🔍
Residual Inaccuracy Extropy and Its Properties 📉🔎
A New Measure of Inaccuracy for Record Statistics Based on Extropy 📑📐
A Weighted Topp-Leone G Family of Distributions: Properties, Applications for Modelling Reliability Data and Different Methods of Estimation 📊⚙️
Weighted Cumulative Past Extropy and Its Inference 🧮🔍
On Interval Weighted Cumulative Residual and Past Extropies 📉🔢
On Dynamic Cumulative Past Inaccuracy Measure Based on Extropy 🧠📊
An Extended Type I Half-Logistic Family of Distributions: Properties, Applications and Different Methods of Estimations 📊🎲
On Weighted Cumulative Residual Extropy: Characterization, Estimation and Testing 🧮📑
A New Two-Parameter Lifetime Distribution with Flexible Hazard Rate Function: Properties, Applications and Different Methods of Estimations ⏳🔢
Mixture Representations of the Extropy of Conditional Mixed Systems and Their Information Properties 🧠📚
Dynamic Systems with Baseline Exponential Distribution Based on Sequential Order Statistics Under a Power Trend for Hazard Rates 📉⚡
Statistical Inference on the Basis of Sequential Order Statistics Under a Linear Trend for Conditional Proportional Hazard Rates 🧑‍🏫📊
Bayesian Inference on Multiply Sequential Order Statistics from Heterogeneous Exponential Populations with GLR Test for Homogeneity 🧑‍🏫📐
Evidences in Lifetimes of Sequential R-out-of-N Systems and Optimal Sample Size Determination for Burr XII Populations 📈🧮

Shikha Patel | Pharmaceutical Sciences | Women Researcher Award

Published on 03/01/202504/01/2025 by Popular EngineerLeave a Comment

Ms.Shikha Patel | Pharmaceutical Sciences | Women Researcher Award

Doctoral Student, Nirma University, India

Ms. Shikha Patel is a highly accomplished researcher and professional in the field of pharmaceutical sciences. Currently pursuing her Ph.D. at Nirma University since 2020, she combines academic dedication with significant industry experience. As the Chief Operating Officer at AssaptR Solutions since 2022, she leads strategic initiatives and operational excellence. Previously, she held prominent roles in pharmaceutical companies like Piramal Pharmaceutical, Torrent Research Centre, Amneal Pharmaceuticals, and Amerise Pharmaceuticals. Ms. Patel’s expertise spans analytical techniques, biotherapeutics characterization, and drug stability studies. With a passion for advancing healthcare solutions, she contributes to cutting-edge research in the areas of therapeutic degradation, bioactive principles isolation, and polyherbal formulation standardization. Her work has been widely recognized in several international journals. She is a role model for women in science, blending leadership, academic excellence, and innovation.

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Education

Ms. Shikha Patel holds a Ph.D. (Part-time) in Pharmaceutical Sciences from Nirma University (2020–present). She completed her M.Pharm (2012) and B.Pharm (2010) from the same institution, securing CGPA of 8.04 (75.4%) and 7.92 (74.2%), respectively. Ms. Patel’s strong academic foundation was further demonstrated in her high school education at Shree Vividhlaxmi Vidyamandir, where she excelled with an 84.8% in Higher Secondary and 90% in Secondary education. Her continuous pursuit of knowledge is evident as she navigates both academia and industry, pushing boundaries in research and contributing to advancements in pharmaceutical sciences. Ms. Patel’s academic background provides a solid framework for her current research and leadership roles, and she is committed to bridging academic learning with practical, real-world pharmaceutical applications.

Experience

Ms. Shikha Patel has extensive experience across both academia and industry in the pharmaceutical sector. She served as an Assistant Professor at the Institute of Pharmacy, Nirma University, from January 2020 to July 2022, where she taught and mentored students in Pharmaceutical Analysis. In addition, she held several key positions in the pharmaceutical industry, such as Research Associate at Piramal Pharmaceutical Development Services (2012-2014), Scientist-II at Torrent Research Centre (2015-2016), Executive at Amneal Pharmaceuticals (2016-2017), and Research Scientist at Amerise Pharmaceuticals (2019-2020). Currently, as COO at AssaptR Solutions, she leads operational strategies while leveraging her research background to enhance product development. Her experience spans analytical methods development, bioanalysis, therapeutic formulation studies, and regulatory compliance, allowing her to contribute meaningfully to both academic and industry advancements.

Research Focus

Ms. Shikha Patel’s research primarily revolves around the characterization and degradation studies of therapeutics, with a focus on biotherapeutics and pharmaceutical formulations. Her work includes the use of advanced analytical techniques like LC-MS, HPLC, NMR, and HRMS to explore the stability, impurity profiles, and degradation mechanisms of small molecules, peptides, proteins, and polypeptides. She is also dedicated to exploring forced degradation strategies for therapeutic peptide formulations, ensuring their stability and safety. Her research extends to the physicochemical characterization of biotherapeutics and the standardization of polyherbal formulations. Ms. Patel is also interested in understanding the regulations and guidelines set by global regulatory bodies for pharmaceuticals, nutraceuticals, and biopharmaceuticals, contributing to safer, more effective therapeutic development. She also focuses on clinical trials for monoclonal antibodies targeting cytokine storms in COVID-19 management, showcasing her versatility in both preclinical and clinical research domains.

Publications

Recent updates in the clinical trials of therapeutic monoclonal antibodies targeting cytokine storm for the management of COVID-19
🦠💉 Heliyon, 7(2), 58, 2021
A Review on Forced Degradation Strategies to Establish the Stability of Therapeutic Peptide Formulations
🧬📉 International Journal of Peptide Research and Therapeutics, 14, 2023
Comparative Stability Study and Aggregate Analysis of Bevacizumab Marketed Formulations Using Advanced Analytical Techniques
🧪📊 Heliyon, 9(9), e19478, 2023
GnRH Peptide Antagonist: Comparative Analysis of Chemistry and Formulation with Implications for Clinical Safety and Efficacy
💊🔬 Pharmaceuticals, 18(1), 36, 2024

Dr. Mohammed Elghandouri | Applied Mathematics |

Published on 03/01/202503/01/2025 by Popular EngineerLeave a Comment

Dr. Mohammed Elghandouri | Applied Mathematics | Best Researcher Award

Postdoctoral position , Inria de Lyon, France.

Dr. Mohammed Elghandouri is a Moroccan-born researcher specializing in applied mathematics and computer science. He holds a Ph.D. from a joint doctoral program between Cadi Ayyad University (Morocco) and Sorbonne University (France), focusing on controllability and dynamic systems. Passionate about mathematical modeling, his work spans across various disciplines including epidemiology, optimal control, and integrodifferential equations. Currently, Dr. Elghandouri is a postdoctoral researcher at the Centre INRIA de Lyon, France, contributing to mathematical modeling of vector-borne diseases. With a deep commitment to research and education, he actively participates in conferences, training programs, and scientific communities globally.

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Education 🎓

Dr. Elghandouri completed his Ph.D. in applied mathematics and computer science through a joint doctoral program between Cadi Ayyad University in Morocco and Sorbonne University in France, where his thesis focused on controllability for nonlocal integrodifferential equations. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Modeling and Dynamic Systems Analysis from Cadi Ayyad University. He also holds an International Master’s degree in Mathematics and Applications from Côte d’Azur University, France. His academic journey began with a Bachelor’s degree in Mathematical Sciences and Applications at Cadi Ayyad University. He has also attended numerous training courses and participated in workshops worldwide to refine his research and teaching skills.

Experience 💼

Dr. Elghandouri has extensive research experience, particularly in the areas of mathematical modeling, dynamic systems, and optimal control. He is currently a postdoctoral researcher at the Centre INRIA de Lyon, where he works on mathematical models for vector-borne diseases. Throughout his career, Dr. Elghandouri has collaborated with prestigious institutions, including Sorbonne University and Cadi Ayyad University, and has contributed to international conferences, workshops, and seminars in the fields of applied mathematics, epidemiology, and control theory. His research stay in France allowed him to enhance his expertise in complex systems modeling. Additionally, he has participated in various scientific and training activities, building strong interdisciplinary research connections.

Research Focus 🔬

Dr. Elghandouri’s research is focused on the controllability of dynamic systems, with special attention to integrodifferential equations and their applications in mathematical and computer modeling. His work encompasses topics like optimal control, epidemiological modeling, and the modeling of complex systems, particularly for public health applications such as vector-borne diseases. He is interested in the theoretical aspects of well-posedness, asymptotic behavior, and approximate controllability in infinite-dimensional systems, including those with nonlocal conditions. His work is interdisciplinary, bridging applied mathematics with epidemiology, environmental sciences, and computational modeling. Dr. Elghandouri is dedicated to exploring new mathematical models that can solve real-world problems in public health and beyond.

Publications 📚

Approximation of Mild Solutions of Delay Integro-Differential Equations on Banach Spaces
Approximate Controllability for Some Integrodifferential Evolution Equations with Nonlocal Conditions
Well-Posedness and Approximate Controllability for Some Integrodifferential Evolution Systems with Multi-Valued Nonlocal Conditions
Exploring Well-Posedness and Asymptotic Behavior in an Advection-Diffusion-Reaction (ADR) Model
Optimal Control of General Impulsive VS-EIAR Epidemic Models with Application to COVID-19
Approximate Controllability for Nonautonomous Integrodifferential Equations with State-Dependent Delay
On The Approximate Controllability for Fractional Neutral Inclusion Systems With Nonlocal Conditions
Regional Control Strategies for a Spatiotemporal SQEIAR Epidemic Model: Application to COVID-19
Approximate Controllability for Some Nonlocal Integrodifferential Equations in Banach Spaces
Dynamical Analysis and Numerical Simulation of a Reaction-Diffusion Model for Microbial Decomposition of Organic Matter in 3D Soil Structure

Todor Todorov | Energy Harvesting | Best Researcher Award

Published on 03/01/202503/01/2025 by Popular EngineerLeave a Comment

Prof. Dr. Todor Todorov | Energy Harvesting | Best Researcher Award

Professor, Technical University of Sofia, Bulgaria

Todor Stoilov Todorov is a Bulgarian academic and engineer, specializing in microelectromechanical systems (MEMS), mechanism theory, and mechanical engineering. He currently serves as the Head of the Laboratory of Microelectromechanical Systems at the Technical University of Sofia. With over 40 years of experience in academia and research, Todorov has held key positions, including Dean of the Faculty of Industrial Technology and Head Assistant Professor in Theory of Mechanisms and Machines. He is renowned for his contributions to MEMS technology, robotics, and machine theory. Todorov is also an active member of several professional organizations and editorial boards, demonstrating his commitment to advancing engineering education and research.

Profile

Education

Todorov completed his PhD in 2001 at the Technical University of Sofia, focusing on the synthesis of mechanisms for manipulation in relative space. He earned his MSc in Mechanical Engineering in 1983, with a specialization in precision engineering and measurement instruments. Further enhancing his expertise, he obtained a Master of Science degree in Decision Support Systems from the University of Sunderland in the UK (1994). His diverse educational background also includes early studies in mechanical design and microelectronic systems at the Technical University of Sofia.

Experience

Todorov has dedicated his career to academia, holding various teaching and research roles at the Technical University of Sofia. From 2013, he served as a Professor in Theory of Mechanisms, specializing in MEMS, nanoengineering, and mechanical systems. Between 2019-2022, he was the Dean of the Faculty of Industrial Technology. His leadership also includes roles such as Head Assistant Professor, Senior Assistant Professor, and Researcher. Additionally, he held a position as Mayor of Vladaya (1995-1999), showcasing his versatility in both academic and public administration spheres.

Awards and Honors

Todorov has been recognized for his significant contributions to mechanical engineering and academic leadership. Notable honors include his membership on the Editorial Board of multiple international journals and his role as a guest editor for Actuators. He is a reviewer for MDPI publishers and has been an active member of the Scientific-Technical Union of Mechanical Engineering, Bulgaria. His work in MEMS and mechanical systems design has earned him numerous academic accolades and an influential role in shaping the direction of robotics and mechanical engineering research in Bulgaria and beyond.

Research Focus

Todorov’s research focuses primarily on Microelectromechanical Systems (MEMS), Shape Memory Alloys (SMA), mechanism theory, and energy harvesting technologies. His innovative work in energy harvesters and self-excited oscillators using MEMS technology aims to enhance the performance of mechanical systems. He has explored applications of intelligent systems and decision support systems in engineering, integrating machine learning and adaptive models. Additionally, his work on actuators, sensors, and microcantilever sensors for ultralow mass detection underscores his expertise in applied robotics, advanced manufacturing, and the future of microtechnologies.

Publications

Dynamics of a Self-Excited Vibrating Thermal Energy Harvester with Shape Memory Alloys and PVDF Cantilevers (2024) 🧑‍🔬
Evaluation of the Influence of Lorentz Forces on the Natural Frequencies of a Dual-Microcantilever Sensor for Ultralow Mass Detection (2024) ⚡
Investigating a Detection Method for Viruses and Pathogens Using a Dual-Microcantilever Sensor (2024) 🦠
Study of Self-Excited Thermomechanical Oscillator with Shape Memory Alloys (2024) 🔥
Synthesis of a Bistable Recuperative Pump Powered by Shape Memory Alloys and a Two-Section Involute Cam (2023) 🔧
Linear Interval Approximation of Sensor Characteristics with Inflection Points (2023) 📊
A Study of a Bistable Reciprocating Piston Pump Driven by Shape Memory Alloys and Recuperative Springs (2023) 🔄
Energy Harvesting With Thermally Induced Vibrations in Shape Memory Alloys by a Constant Temperature Heater (2022) ⚙️
Linear Interval Approximation for Smart Sensors and IoT Devices (2022) 🌐
Modeling and Study of a Novel Electrothermal Oscillator Based on Shape Memory Alloys (2020) 🔋

Kim June | Feed Nutrition | Best Researcher Award

Published on 03/01/202503/01/2025 by Popular EngineerLeave a Comment

Dr. Kim June | Feed Nutrition | Best Researcher Award

Postdoctoral researcher, National Institute of Fisheries Science, South Korea

June Kim is a postdoctoral researcher at the National Institute of Fisheries Science, specializing in marine and fisheries science. With a focus on sustainable aquaculture, her research revolves around dietary compositions, feed utilization, and alternative protein sources for fish. Through her work, she has made significant contributions to improving aquaculture sustainability by developing efficient, cost-effective feed formulations that reduce reliance on fish meal. Her contributions have greatly enhanced growth performance, feed efficiency, and immune function in marine species. With 19 SCI(E) publications and over 290 citations, June’s research has been widely recognized in the scientific community. She actively collaborates with global experts in fish nutrition, aiming to bring about lasting improvements in the aquaculture industry.

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Education

June Kim’s academic journey began with a deep interest in marine science, culminating in a PhD in marine and fisheries science. Her doctoral research focused on improving feed utilization in aquaculture systems, a key challenge for the sustainability of the industry. She examined the potential of replacing traditional protein sources, like fish meal, with alternative ingredients, such as plant-based proteins and animal by-products. June’s PhD work contributed significantly to advancements in aquatic feed technology. Postdoctoral research at the National Institute of Fisheries Science allowed her to continue this work, further exploring sustainable dietary formulations for aquaculture species. She continues to contribute to the global body of knowledge on fish nutrition and sustainability, underpinned by her strong academic training in marine biology and fisheries science.

Experience

June Kim has extensive experience in marine and fisheries research, particularly in the areas of fish nutrition, dietary formulations, and aquaculture sustainability. After completing her PhD, June joined the National Institute of Fisheries Science as a postdoctoral researcher, where she focused on advancing alternative protein diets and improving feed utilization in aquaculture systems. Her work aims to reduce the environmental and economic costs associated with traditional fishmeal-based feeds, contributing to the sustainability of marine ecosystems. June’s research projects have involved working with various marine species, including olive flounder, rockfish, sea cucumber, and abalone, examining the effects of dietary substitutions and supplementation on growth performance, feed efficiency, and immune function. As a result, June’s work is highly regarded in the scientific community, with multiple publications in high-impact journals such as Aquaculture, Aquaculture Research, and Journal of Applied Phycology.

Research Focus

June Kim’s primary research focus is on improving the sustainability and efficiency of aquaculture systems through innovative dietary formulations. Her work centers around the development of alternative protein sources for fish feed, aiming to reduce dependence on traditional fishmeal, which poses environmental and economic challenges. She specializes in evaluating the effects of dietary substitutions, including plant-based proteins, animal by-products, and algae, on growth performance, feed utilization, and immune function of various marine species. Her research also explores the supplementation of diets with functional ingredients to enhance the health and resilience of aquaculture species, thereby contributing to more sustainable and efficient aquaculture practices. June’s research aims to improve not only the economic viability of aquaculture but also its ecological footprint, ensuring long-term sustainability. Through her work, she hopes to promote aquaculture as a more environmentally responsible industry and improve the overall health and productivity of marine ecosystems.

Publication Top Notes

Dietary substitution effect of Ulva australis for Undaria pinnatifida on growth, body composition and air exposure of juvenile abalone, Haliotis discus 🦑📚
Substitution effect of fish meal with various sources of animal by-product meals in feed on growth, feed utilization, body composition, haematology and non-specific immune responses 🐟🍖
Dietary substitution effect of fish meal with chicken by-product meal on growth, feed utilization, body composition, haematology and non-specific immune responses of olive flounder 🐟🍗
The effect of substituting Undaria pinnatifida in formulated feeds with Sargassum horneri on growth and body composition of juvenile abalone 🌱🐚
Oral administration effect of yacon, ginger and blueberry on the growth, body composition and plasma chemistry of juvenile olive flounder 🥕🍓
Dietary substitution effect of fishmeal with tunic meal of sea squirt, Halocynthia roretzi, Drasche, on growth and soft body composition of juvenile abalone 🦑🍣
Evaluating the efficacy of partially substituting fish meal with unfermented tuna by-product meal in diets on the growth, feed utilization, chemical composition and non-specific immune responses 🐟🐟
Substitution effect of white radish (Raphanus sativus L.) by-product and tunic of sea squirt (Halocynthia rorentzi, von Drasche) for Undaria pinnatifida in feed of abalone 🥕🦑
Effects of dietary inclusion of yacon, ginger and blueberry on growth, body composition and challenge test of juvenile rockfish 🥔🍇
Substitution effect of fish meal with meat meal in diet on growth performance, feed consumption, feed utilization, chemical composition, hematology, and innate immune responses 🍖🐟
Dietary optimum inclusion level of jack mackerel meal for olive flounder 🐟🍴
Effect of Dietary Carbohydrate‐to‐Lipid Ratio on Growth and Carcass Composition of Juvenile Abalone 🍚🐚

Prof. Dr. Tsonko Kolev | Medicine and Health Sciences | Best Researcher Award

Published on 02/01/202502/01/2025 by Popular EngineerLeave a Comment

Prof. Dr. Tsonko Kolev | Medicine and Health Sciences | Best Researcher Award

Prof. Dr. Tsonko Kolev, Institute of Molecular Biology, Bulgarian Academy of Sciences, Bulgaria

Prof. Dr. Tsonko Kolev is a distinguished Bulgarian scientist specializing in organic chemistry, structural organic analysis, and vibrational spectroscopy. He is known for his extensive work in X-ray analysis, DFT calculations, IR, Raman, and UV-vis spectroscopy, focusing on organic compounds and materials. Prof. Kolev has contributed significantly to the understanding of stilbazolium dyes and solvatochromism. Throughout his career, he has collaborated on numerous international projects, and his work has been published in prestigious journals. He has received the National Award for The Prominent Scientist in the Field of Natural Sciences “Pitagor” in 2011. With over 50 published works, Prof. Kolev is a highly respected figure in the scientific community, particularly in the study of structural chemistry and spectroscopy, which are critical to advancing applications in material science, medicinal chemistry, and environmental monitoring.

Profile

Education

Prof. Dr. Tsonko Kolev completed his undergraduate studies in organic chemistry at Sofia University, Bulgaria, where he graduated with a Master’s degree from the Faculty of Chemistry in 1971. He further pursued his academic career by leading research and contributing to scientific advancements in organic chemistry. With a solid foundation in the theoretical and experimental aspects of chemistry, his work has significantly influenced the study of structural organic analysis and spectroscopy. Throughout his career, Prof. Kolev has received multiple awards, including the “Pitagor” award in 2011, solidifying his reputation in the academic community. His research interests include molecular structure, interaction of organic compounds with light, and the application of vibrational spectroscopy. Prof. Kolev’s academic journey reflects both his commitment to fundamental scientific inquiry and his desire to apply this knowledge to practical problems in chemistry and material science.

Experience

Prof. Dr. Tsonko Kolev has an illustrious academic career, marked by his role as Group Leader in Structural Organic Analysis from 1992 to 2005 at the Bulgarian Academy of Sciences. During his tenure, he led numerous high-impact research projects focused on spectroscopic analysis and molecular structure determination. His professional activities extend beyond academia, having contributed extensively to the development of spectroscopic techniques, X-ray diffraction, and DFT calculations, especially in the study of organic dyes and solvatochromism. Prof. Kolev’s leadership is evident in his collaborations with universities, research institutes, and international conferences, where he frequently shares his knowledge on vibrational spectroscopy and crystallography. In recognition of his contributions to natural sciences, he was awarded the prestigious “Pitagor” National Award in 2011. Throughout his career, he has mentored numerous young scientists and contributed to advancing the understanding of the structural properties of organic compounds in applied chemistry.

Research Focus

Prof. Dr. Tsonko Kolev’s research primarily revolves around the structural and spectroscopic analysis of organic compounds. His work integrates X-ray analysis, DFT calculations, and vibrational spectroscopy (IR, Raman, and UV-vis) to investigate the molecular properties of stilbazolium dyes and solvatochromic materials. His studies aim to unravel the electronic structures, interactions, and environmental factors influencing the behavior of these compounds in various media. Additionally, Prof. Kolev explores the synthesis and characterization of organic materials, particularly focusing on the molecular interactions that can influence the performance of organic semiconductors and dyes. He is also deeply involved in applying these techniques to fields such as material science, medicinal chemistry, and environmental monitoring. His interdisciplinary approach to chemistry has led to key advancements in understanding the relationship between molecular structure and the optical properties of organic compounds, contributing to the development of novel functional materials for diverse applications.

Publication Top Notes

Crystal Structures, Molecular Docking and In Vitro Investigations of Two 4-Substituted 2-(5,5-dimethyl-3-styrylcyclohex-2-enylidene)malononitrile Derivatives as Potential Topoisomerase II Inhibitors (2024) 🧬🧪
Application of Vibrational Spectroscopy and XRD Analysis for Investigation of Calcium Oxalate Kidney Stones (2019) 💎🔬
Preparation and Spectral Properties of Europium Hydrogen Squarate Microcrystals (2018) 💠🔍
Comparing of the Crystal Structure and Spectroscopic Properties of Some Stilbazolium Dyes with Enlarged π-Conjugated System I. Chromophores with p-Dimethylamino Group (2017) 🔶📏
Prolinamide Containing Diamides of Squaric Acid – Synthesis and Structural Characterization (2017) ⚗️🧬
Syntheses, Structure and Physico-Chemical Properties of Mono-Squaramides (2017) 🔬🧪
New Structural Motif of Hydrogensquarate Anions in the Presence of dl-Serinium Cation. Spectral and Structural Elucidation (2015) 🔍🧬
The 1:1 Proton-Transfer Compounds of N,N-Dimethyl-4-[(E)-2-(4-Pyridinyl)Vinyl]Aniline with 3-Nitrophthalic and Perchloric Acids (2015) 🧪🧬
Synthesis, Crystal Structure, and Spectroscopic Properties of New Stilbazolium Salt with Enlarged π-Conjugated System (2013) 🧪🔬
Novel Styrylquinolinium Dye Thin Films Deposited by Pulsed Laser Deposition for Nonlinear Optical Applications (2012) 💡🧪
2-(Phenylethyl)Ammonium Hydrogensquarate Hemihydrate: Crystal Structure, Solid-State IR-Spectroscopic and Theoretical Characterization (2010) 🧬💡
Crystal Structure and Spectroscopic Elucidation of 3-Phenylpyridinium Hydrogensquarate (2010) 🔬🧪
New Au(III), Pt(II) and Pd(II) Complexes with Pentapeptide Glycylglycyl-L-Methyonyl-Glycyl-Glycine and Their Interaction with Calf Thymus DNA (2010) 🧬🧪