Prof. Sowmya T | Intrusion detection system award |Women Researcher Award

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Prof. Sowmya T | Intrusion detection system award |Women Researcher Award

Prof. Sowmya T, Cmrit, India

Sowmya.T is an accomplished AI researcher with a strong academic background, holding a Bachelor of Technology (B.Tech), a Master of Technology (M.Tech), and currently pursuing a Ph.D. in a relevant field. Based in Bangalore, India, she has demonstrated expertise in implementing cutting-edge machine learning and deep learning algorithms, particularly in areas such as image recognition, ML-based optimization techniques, and cloud intrusion detection systems (CIDS).

With over three years of hands-on experience in the industry, Sowmya has a proven track record of achieving exceptional results, including more than 95% accuracy rates in various projects. Her work has focused on reducing resource consumption while enhancing system efficiency through innovative AI approaches.

Professional Profiles

 

💡 Expertise & Accomplishments:

With over 3 years of hands-on experience, Dr. Sowmya specializes in implementing cutting-edge machine learning and deep learning algorithms, particularly in areas like image recognition and ML-based optimization techniques. Her endeavors have yielded exceptional results, boasting accuracy rates exceeding 95% and significantly reducing resource consumption.

👩‍🏫 Academic Contributions:

Dr. Sowmya’s passion for teaching shines through her exceptional skills honed over 6 years in academia. She has not only imparted knowledge but also contributed significantly to research, presenting and publishing her findings in esteemed conferences and international journals.

📚 Publications & Presentations:

Her research contributions have left an indelible mark on the field, with notable publications and presentations including:

  • Co-authoring a chapter on “Intelligent Machine Learning approach for CIDS – Cloud Intrusion Detection system” in Computer Networks, Big Data, and IoT 2021.
  • Presenting papers at ICCBI 2020 and ICCIC 21 on intelligent machine learning approaches for intrusion detection systems and machine learning methods in Autism Spectrum Disorder.
  • Co-authoring papers in reputable journals such as IJISAE and Measurement: Sensors, covering topics like network intrusion detection systems and AI-based security frameworks.
  • Collaborating on innovative frameworks leveraging technologies like blockchain, machine learning, and artificial intelligence to counteract cybersecurity threats in smart cities.

🌐 Future Endeavors:

Awaiting publication of her latest work on “Detection of DoS Attacks Using Machine Learning Based Intrusion Detection System” in IEEE conference proceedings, Dr. Sowmya continues to push the boundaries of AI research, with a steadfast commitment to innovation and excellence.

Publication Top Notes:

A comprehensive review of AI based intrusion detection system

Intelligent machine learning approach for cids—cloud intrusion detection system

Assoc Prof. Dr. Claudia Cherubini | Fluid flow and solute transport award |Outstanding Scientist Award

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Assoc Prof. Dr. Claudia Cherubini | Fluid flow and solute transport award |Outstanding Scientist Award

Assoc Prof. Dr. Claudia Cherubini, Università di Trieste, Italy

Dr. Claudia Cherubini is an accomplished academic and researcher specializing in Environmental Engineering, with a focus on Water Engineering and Hydrogeology. She holds a Ph.D. in Engineering for the Defence of Ecosystems and is currently serving as an Associate Professor in Hydrogeology at the University of Ferrara. Dr. Cherubini’s academic journey began with a Master of Science in Civil Engineering from the Polytechnic of Bari, where she graduated with top honors (110 cum laude). Her dedication to research and academia led her to obtain a Ph.D. in Engineering, further solidifying her expertise in her field.

Throughout her career, Dr. Cherubini has held various academic positions globally, including stints at renowned institutions such as Polytechnical Institute LaSalle Beauvais in France, University of Queensland in Australia, and Brunel University London in the UK. She has also been involved in extensive international collaborations and research projects focused on groundwater management, hydrogeological modeling, and environmental protection.

Professional Profiles

 

Education:

  • M.S. Civil Engineering, Polytechnic of Bari, 2003 (110 cum laude)
  • PhD in Engineering for the Defence of Ecosystems, 2007

Academic Positions:

  • Associate Professor in Water Engineering, University of Trieste
  • Honorary Senior Lecturer in Water Engineering, The University of Queensland, Australia
  • Adjunct Professor, National Institute of Oceanography and Experimental Geophysics (Trieste)
  • National Scientific Habilitation to Full Professor in Italy

Employment History:

Dr. Cherubini has held various academic positions globally, including in Italy, France, the UK, and Australia. Notable roles include:

  • Senior Lecturer in Water Engineering, Brunel University London, UK
  • Lecturer in Water Engineering, University of Queensland, Australia
  • Associate Professor in Hydrogeology, University of Ferrara, Italy

PhD Supervision & Examination:

Dr. Cherubini has extensive experience in supervising and examining PhD students in water engineering, hydrogeology, and related fields, both nationally and internationally.

Editorial & Review Activities:

She serves as an Associate Editor and Editorial Board Member for prestigious journals such as Heliyon (Elsevier), Water (mdpi), and Frontiers in Water. Additionally, she has reviewed papers for several renowned journals in the field of earth sciences and hydrology.

Research & Collaboration:

Her research focuses on groundwater management, geothermal resources, climate change impacts, and coastal hydrogeology. She has collaborated on various funded projects and served as a scientific consultant for government agencies and organizations.

Honors & Awards:

Dr. Cherubini has received several awards and recognitions for her contributions to the field of hydrogeology and environmental engineering, including the Division Outstanding Young Scientists Award from the European Geosciences Union (EGU).

Publication Top Notes:

Modelling of the complex groundwater level dynamics during episodic rainfall events of a surficial aquifer in southern italy

Analysis of gravel back-filled borehole heat exchanger in karst fractured limestone aquifer at local scale

Numerical model of the behavior of chlorinated ethenes in a fractured, karstic limestone aquifer

Development of a robust ensemble meta-model for prediction of salinity time series under uncertainty (case study: Talar aquifer)

Estimating Land Subsidence and Gravimetric Anomaly Induced by Aquifer Overexploitation in the Chandigarh Tri-City Region, India by Coupling Remote Sensing with a Deep Learning Neural Network Model

Assessment of seasonal Borehole Thermal Energy Storage in the seawater intrusion region of a carbonate aquifer

Assist Prof. Dr. Hafiz Rafey | Computational Modeling award |Best Researcher Award

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Assist Prof. Dr. Hafiz Rafey | Computational Modeling award |Best Researcher Award

Assist Prof. Dr. Hafiz Rafey, Shifa Tameer e Millat University Islamabad, Pakistan

Dr. Rafey holds a Ph.D. in Pharmacognosy from Gomal University with a CGPA of 3.77/4.00. He also has an M.Phil. in Biochemistry and a Pharm-D degree from the same university. He is a registered pharmacist with a registration number of 1798-A/2011-PC. His research experience includes studies on inhibition of AGEs and biofilms using traditional medicinal plants, as well as comparative antimicrobial activities analysis.

Apart from his academic and research achievements, Dr. Rafey has demonstrated leadership abilities through his involvement in various extracurricular activities. He has been involved in literary and debating activities, serving as a writer for newspapers, president of the debating wing at State Youth Parliament Pakistan, and holding positions in student councils and societies.

Professional Profiles

 

🔬 Research Expertise:

His research focuses on the extraction, isolation, and purification of bioactive compounds from medicinal plants, particularly targeting inhibition of AGEs (Advanced Glycation End Products) and biofilms. Dr. Rafey’s proficiency extends to a wide array of techniques including enzymatic inhibition assays, phytochemical analysis, and molecular docking.

🎓 Academic Profile:

With a stellar academic record, Dr. Rafey has consistently demonstrated excellence throughout his educational journey, culminating in a Ph.D. with a commendable CGPA. His expertise spans various analytical techniques crucial for pharmacognostic research.

💻 Computer Skills:

Proficient in a range of software tools including MS Office, ChemDraw, and molecular modeling software such as Autodock Vina and DS, Dr. Rafey leverages technology for advanced drug discovery and development.

🏅 Professional Experience & Contributions:

Dr. Rafey has held key positions in academia and industry, including roles at Sanofi Aventis Pakistan and as a Production Pharmacist. He has also actively contributed to scholarly activities, presenting at conferences, and organizing workshops.

📚 Membership & Extra-curricular Activities:

A member of prestigious scientific societies, Dr. Rafey’s academic prowess is complemented by his involvement in extracurricular activities. Notably, he has received numerous awards for his oratory skills and leadership qualities.

🔍 Current Endeavors:

As an Assistant Professor, Dr. Rafey continues to inspire and mentor future pharmacists while pursuing cutting-edge research in pharmacognosy and natural product chemistry.

Dr. Hafiz Abdul Rafey’s dedication to advancing pharmaceutical sciences through research, education, and community engagement underscores his commitment to improving global health and well-being.

Publication Top Notes:

Integrated computational and experimental evaluation of phenolic constituents of Apricot fruit L. for antiqourum sensing, antibiofilm, antioxidant, and 15-lox inhibitory properties

Evaluation of the antibiofilm and antimicrobial activities of Glycyrrhiza glabra and Viola odorata in poly herbal formulations

Mr. Manoj Saha | Electric Vehicle award |Best Researcher Award

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Mr. Manoj Saha | Electric Vehicle award |Best Researcher Award

Mr. Manoj Saha, National Institute of technology Durgapur, India

Manoj Saha is a dedicated professional with a strong academic background in Electrical Engineering. He holds a Bachelor of Technology (B.Tech) degree from Gandhi Institute Of Engineering and Technology in Gunupur, Odisha, where he specialized in Electrical Engineering and achieved a commendable CGPA of 7.6.

Driven by a passion for continuous learning and growth, Manoj further pursued his academic journey and obtained a Master of Technology (M.Tech) degree from the Centre of Advanced Post Graduate Studies under Biju Patnaik University of Technology (BPUT) in Rourkela, Odisha. His focus during his M.Tech studies was on Power Systems, where he excelled with an impressive CGPA of 9.06.

Throughout his educational journey, Manoj demonstrated not only technical prowess but also a range of soft skills essential for professional success. His academic achievements reflect his dedication, perseverance, and ability to excel in challenging environments.

Professional Profiles

🔬 Academic Journey:

Manoj’s academic journey commenced at Chinmaya Vidyalaya, Sector-7, Rourkela, Odisha, where he laid the foundation for his future endeavors. Graduating with distinction, he furthered his education at the Government Junior College, Rourkela, Odisha, excelling in the Science stream at the +2 level.

His passion for Electrical Engineering led him to pursue a Bachelor’s degree at the prestigious Gandhi Institute Of Engineering and Technology, Gunupur, Rayagada, Odisha. During his undergraduate studies, he exhibited exceptional skills and secured a commendable CGPA of 7.6.

Eager to delve deeper into the intricacies of his field, Manoj pursued a Master’s degree in Power System from the Centre of Advanced Post Graduate Studies, Biju Patnaik University of Technology (BPUT), Rourkela. His academic prowess shone brightly as he graduated with an outstanding CGPA of 9.06, demonstrating his expertise and dedication to his chosen discipline.

🔍 Research Pursuits:

Undeterred by challenges, Manoj embarked on the path of research, driven by a desire to explore uncharted territories in Electrical Engineering. Currently, he is immersed in his doctoral studies, where he endeavors to contribute novel insights and solutions to pressing issues in the field. His research interests encompass diverse areas within Power Systems, reflecting his interdisciplinary approach and innovative thinking.

💼 Career Aspirations:

Armed with a solid academic foundation and extensive research experience, Manoj is poised to make significant contributions to the organizations he serves. His career objective underscores his commitment to professional growth and the pursuit of excellence. With a vision to tackle challenges head-on and adapt to the evolving landscape of the world, he aspires to be a dynamic and visionary leader in his field.

🌟 Skills:

Manoj possesses a comprehensive blend of technical and soft skills, honed through years of academic rigor and practical experience. His proficiency in technical domains is complemented by his adeptness in soft skills, making him a well-rounded professional capable of thriving in diverse settings.

Publication Top Notes:

Optimal Scheduling of Electric Vehicles: Leveraging Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Prices: A Game-Theoretic Approach

Optimal EV Charging and Battery Swapping Station Allocation with Traffic-Aware Energy Loss Minimization Using Butterfly Optimization Algorithm

Optimal Scheduling Strategy for Swapped Battery Station of Electric Vehicle by Human Felicity Algorithm

Optimal Participation of Hybrid Renewable Energy Sources in Standalone Microgrid

Mrs. Molla Melkamu Kebede | Public health award |Best Researcher Award

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Mrs. Molla Melkamu Kebede | Public health award |Best Researcher Award

Mrs .Molla Melkamu Kebede, University of International Business and Economics, China

Molla Melkamu is an Ethiopian professional with a strong background in administration, governance, and public affairs. He has held various key positions in government institutions, including Zone Administration roles such as Finance and Economy Head, Political Affairs Head, and Main Administrator. He also served as the Mayor of Gondar City and later as the Regional Political Affairs Head for Amhara Regional State. Molla’s educational qualifications include a degree in Disaster Risk Management Sustainable Development, an Executive MBA, and he is currently pursuing a PhD in Public Administration.

Molla is proficient in both Amharic and English, with excellent computer skills and a track record of effective teamwork, leadership, and strategic planning in managing political and administrative responsibilities.

Professional Profiles

📚 Education and Training:

  1. Bahir Dar University:
    • Degree: Disaster Risk Management Sustainable Development
    • Dates: 01/06/2005 — 08/10/2010
    • CGPA: 3.42
  2. Bahir Dar University:
    • Degree: Executive Master of Business Administration (MSc)
    • Dates: 06/09/2016 — 21/10/2017
    • CGPA: 3.97
  3. University of International Business and Economics (UIBE):
    • Degree: Public Administration (PhD Fellow)
    • Dates: 09/10/2022 — Present
    • CGPA: 3.98

💼 Personal Skills and Competencies:

  • Mother Tongue(s): Amharic
  • Other Language(s): English
  • Language Proficiency: Fluent in English
  • Technical Skills: Excellent computer basic skills
  • Additional Competencies: Active in teamwork, good leadership skills, excellent in planning, executing, and monitoring political issues.

This biography encapsulates the professional journey of Molla Melkamu, from his beginnings in zone administration to his current pursuit of a PhD in Public Administration. With a robust background in governance and a keen eye for political affairs, Molla embodies dedication and expertise in his field.

Publication Top Notes:

Exploring Factors Influencing Family’s Enrollment in Community-Based Health Insurance in the City of Gondar Peri-Urban Community, Northwest Ethiopia: A Health Belief Model Approach

Exploring Factors Influencing Family’s Membership in Community-Based Health Insurance in the City of Gondar Peri-Urban Area, Northwest Ethiopia: A Health Belief Model Approach

Exploring the Impact of Social Exchange Factors on Organizational Commitment: A Study of Development Bank of Ethiopian Amhara Region Branches

The Effect of Managerial Skills on Internal Service Quality: A Study of City Administrations in Amhara Regional State, Ethiopia, Based on Katz’s Managerial Skills Model and Yaoli’s Internal Service Quality Measures

Mr.Dame Alemayehu Efa | Laser Beam Welding award |Best Researcher Award

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Mr.Dame Alemayehu Efa | Laser Beam Welding award |Best Researcher Award

Mr.Dame Alemayehu Efa, Wallaga University, Ethiopia

Dame Alemayehu Efa is a distinguished Ethiopian mechanical engineer and researcher, born on April 4th, 1997. He holds a Bachelor of Science degree in Mechanical Engineering with a specialization in Manufacturing Engineering from Wallaga University, Ethiopia, which he completed in February 2021 with an exceptional CGPA of 3.89/4.00. His BSc thesis, titled “Design of a Solar-Powered Hydraulic Scissor Lift Table for the Wollega University Student Cafeteria,” showcased his innovative and practical approach to engineering challenges.

Continuing his academic journey, Dame pursued a Master’s degree in Mechanical Engineering, specializing in Manufacturing Engineering, at Wallaga University from September 2021 to February 2024. During this time, he demonstrated outstanding academic prowess, culminating in a perfect grade of 4.00/4.00 for his Master’s degree. His Master’s thesis, “Metamaterial Structures and Topology Optimization for Additive Manufacturing, with Multi-Objective Parametric Optimization for Selective Laser Melting (SLM),” reflects his expertise in advanced engineering concepts and research methodologies

Professional Profiles

Education and Qualifications:

  • BSc in Mechanical Engineering, Manufacturing Engineering Focus, Wallaga University, Ethiopia (February 10, 2021)
    • Thesis Title: Design of a Solar-Powered Hydraulic Scissor Lift Table for the Wollega University Student Cafeteria
  • MSc in Mechanical Engineering, specialization in Manufacturing Engineering, Wallaga University, Nekemte, Ethiopia (September 01, 2021 – February 23, 2024)
    • Thesis Title: Metamaterial Structures and Topology Optimization for Additive Manufacturing, with Multi-Objective Parametric Optimization for Selective Laser Melting (SLM)

Work Experience:

  1. Internship at Ethiopian Airlines, Bole, Ethiopia (March – June 2019)
  2. Mechanic at New Flower General Trading plc., Addis Ababa, Ethiopia (March 20 – May 01, 2021)
  3. Assistant Lecturer at Dambidolo University, Department of Mechanical Engineering, Ethiopia (May 10 – August 30, 2021)
  4. Current Position: Lecturer in the Department of Mechanical Engineering at Wollega University, Nekemte, Ethiopia (since September 17, 2021)

Courses Taught (Undergraduate Level):

  1. Workshop Practice and Laboratory Exercises
  2. Introduction to Engineering Profession
  3. Engineering Mechanics II Dynamics
  4. Heavy-duty and Earth-moving Equipment
  5. Engineering Drawing

Dame Alemayehu Efa is a highly motivated and accomplished Mechanical Engineer with a strong background in Manufacturing Engineering. He has demonstrated exceptional academic performance throughout his studies, culminating in a perfect grade for his Master’s degree. His research interests include additive manufacturing, metamaterial structures, and parametric optimization. As a dedicated lecturer and researcher, he aspires to contribute significantly to the field of Mechanical Engineering through his innovative ideas and high-quality publications.

Publication Top Notes:

Laser Beam Welding Parametric Optimization for AZ31B and 6061-T6 Alloys: Residual Stress and Temperature Analysis Using a CCD, GA and ANN

Friction stir-welding of AZ31B Mg and 6061-T6 Al alloys optimization using Box-Behnken design (BBD) and Artificial Neural network (ANN)

Analyzing the Effect of Temperature on Alloy Steel Forging Simulation Using Deform 3D

Assist. Prof. Dr .Ming-Hsien Chiang | Virtual Reality award |Best Researcher Award

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Assist. Prof. Dr .Ming-Hsien Chiang | Virtual Reality award |Best Researcher Award

Assist. Prof. Dr. Ming-Hsien Chiang ,mProbe , Taiwan

Dr. Vincent Chiang is a highly accomplished professional with a strong background in biomedical research and medical education. He holds a Bachelor’s degree from the National Defense Medical Center (NDMC), Taiwan, a Master’s degree in Public Health from the same institution, and a Ph.D. from the Graduate Institute of Life Sciences at NDMC. Dr. Chiang’s academic journey has been focused on areas such as molecular cloning, DNA methylation analysis, epidemiology, biostatistics, microbiology, and immunology.

Professional Profiles:

Education:
  • Bachelor (1998-2002): National Defense Medical Center (NDMC), R.O.C. (Taiwan)
  • Master (2003-2005): School of Public Health (SPH), NDMC, R.O.C. (Taiwan)
    • Thesis: DNA Methylation of Long Control Region of HPV 16 in Cervical Carcinogenesis
    • Advisor: Tang-Yuan Chu, Chien-An Sun
    • Specialty: Molecular cloning, DNA methylation analysis, epidemiology, biostatistics
  • Ph.D. (2012-2016): Graduate Institute of Life Sciences, NDMC, R.O.C. (Taiwan)
    • Thesis: Development of Vaccine Strategies against Acinetobacter baumannii Infection
    • Advisor: Pele Choi-Sing Chong, Te-Li Chen, Yi-Ping Chuang
    • Specialty: Subunit vaccine, microbiology assay, infectious animal model, protein purification, immune response evaluation

Professional Experiences:

  • 2017-2018: Senior Specialist, Medical Affairs Bureau, Ministry of National Defense
  • 2018-2023: Assistant Professor, Department and Graduate Institute of Biology and Anatomy, NDMC
  • 2023-Present: Principal Investigator, mProbe Inc.

Highlights:

  • Successfully coordinated international exchange events and contributed significantly to the Taipei International Military Medicine Forum.
  • Led research on bacterial vaccines, securing funding and publishing numerous papers.
  • Spearheaded digital transformation in medical teaching, significantly enhancing student satisfaction and learning efficiency.
  • Strengthened international scientific collaborations as a Young Ambassador for the American Society for Microbiology.
  • Engaged as Review Editor for Vaccines and Molecular Therapeutics, Frontiers, ensuring alignment with latest advancements in medical science.
  • Developed disease risk prediction models and diagnostic tools, contributing to personalized precision medicine.

Publication Top Notes:

Mr. Torikul Islam | Signal Processing Award | Best Researcher Award

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Mr. Torikul Islam | Signal Processing Award | Best Researcher Award

Mr. Torikul Islam, New Jersey Institute of Technology, United States

Torikul Islam is a dedicated professional with a diverse background in biomedical engineering and neuroengineering. Currently serving as a Graduate Research Assistant at the New Jersey Institute of Technology, he focuses on developing automated devices for vergence therapy in Convergence insufficiency patients, utilizing his expertise in machine learning and statistical analysis. As the Founder & Researcher at Bio-neural Intelligence and Research Advancement Laboratory in Bangladesh, Torikul leads research on epilepsy, emotion, and bio signal/image processing, while supervising and teaching undergraduate students. With a Ph.D. in Biomedical Engineering underway and a B.Sc. from Khulna University of Engineering & Technology, Torikul demonstrates proficiency in coding, machine learning, and simulation tools. Recognized with awards such as the Best Paper Award from the IEOM Society International, Torikul remains committed to advancing neuroengineering and bio-photonics through innovative research and academic contributions. Additionally, his participation in professional development programs, including the Aspire Leaders Program from Harvard Business School and Writing in the Sciences from Stanford University, reflects his dedication to continuous learning and growth.

Professional Profile:

Orcid

🎓 Education:

  • Ph.D. in Biomedical Engineering, New Jersey Institute of Technology (2023 – Present)
  • B.Sc. in Biomedical Engineering, Khulna University of Engineering & Technology (2017 – 2022)

💼 Professional Experience:

  • Graduate Research Assistant at New Jersey Institute of Technology, USA (August 2023 – Present)
  • Founder & Researcher at Bio-neural Intelligence and Research Advancement Laboratory, Bangladesh (June 2021 – Present)
  • Research Fellow at Photonics Research Group, KUET, Bangladesh (Jan 2020 – Feb 2023)

🏆 Awards and Achievements:

  • Best Paper Award, IEOM Society International (2023)
  • Graduate Research Assistantship Award (Tuition fee & stipend), NJIT, USA (2023)
  • Finalist, New Business model competition, NJ, USA (2023)

🧠 Research Interests:

  • Neuro Engineering
  • Machine Learning
  • Bio-photonics

📚 Skills:

  • Coding: Python, C, Matlab
  • Machine Learning: Keras, Sklearn, Tensorflow, Pandas, Numpy
  • Statistics: R, SPSS, Gpower
  • IDE: Jupyter Notebook, Spyder, PyCharm, Visual Studio

Publication Top Notes:

  1. Effect of the antenna slot numbers and position on the performance of microwave ablation
    • Published Year: 2023
    • Journal: Medicine in Novel Technology and Devices
  2. Investigating population-specific epilepsy detection from noisy EEG signals using deep-learning models
    • Published Year: 2023
    • Journal: Heliyon
  3. Comprehensive Analysis on Feature Selection, Machine Learning and Deep Learning Algorithms to Detect Driver Drowsiness-An EEG Study
    • Published Year: 2023
    • Source: Conference paper
  4. Epileptic Seizure Detection from EEG Signal Using ANN-LSTM Model
    • Published Year: 2023
    • Source: Book chapter
  5. Numerical Analysis of Coronary Stent Alloy Materials During Radial Expansion
    • Published Year: 2023
    • Source: Conference paper

 

 

 

 

 

 

 

Ms. Jasmina Đorđević | Stochastic modeling in biology award |Best Researcher Award

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Ms. Jasmina Đorđević | Stochastic modeling in biology award |Best Researcher Award

Ms. Jasmina Đorđević, Faculty of Sciences and Mathematics, Serbia

Dr. Jasmina Đorđević is a distinguished mathematician specializing in the theory of probability and stochastic processes, with a keen interest in their applications to stochastic control and optimization. Born and raised in Niš, Serbia, she has dedicated her academic and professional career to advancing the understanding of mathematical principles in various domains, particularly in finance.

Professional Profiles:

🏫 Education

Dr. Đorđević completed her Bachelor of Science in Mathematics at the Faculty of Science and Mathematics, University of Niš, where her passion for stochastic processes began. She continued her academic journey with a Master of Science in Mathematical Finance, further solidifying her expertise in applying mathematical concepts to financial models. Her academic prowess culminated in a PhD in Mathematics from the same institution, with a thesis on “Backward Stochastic Differential Equations with Perturbations,” under the guidance of Professor Svetlana Janković.

👩‍🏫 Professional Experience

With a wealth of knowledge and experience, Dr. Đorđević has held various academic positions at the University of Niš, starting as a Teaching Assistant and progressing to Assistant Professor and eventually becoming a Full Professor. She has contributed significantly to the Department of Mathematics, teaching a range of courses from introductory to advanced levels, including probability, financial modeling, and stochastic analysis.

Her dedication to research led her to a prestigious Postdoctoral position at the University of Oslo, where she worked on the STORM project under the supervision of Prof. Giulia Di Nunno, focusing on stochastic models for time-space risk analysis.

🌐 Research and Publications

Dr. Đorđević has presented her research at numerous international conferences and seminars, showcasing her expertise in areas such as backward stochastic differential equations, time-changed Lévy processes, and stochastic control. Her contributions have been widely recognized, earning her invitations as an invited speaker and organizer at various academic gatherings.

📚 Skills and Interests

Apart from her academic achievements, Dr. Đorđević is multilingual, with fluency in English and a basic understanding of French and Norwegian. She is proficient in a range of mathematical software and tools, including Matlab, Mathematica, LaTeX, and Python.

Dr. Jasmina Đorđević’s passion for mathematics, coupled with her relentless pursuit of knowledge and contributions to academia, mark her as a leading figure in the field of stochastic analysis and mathematical finance.

Publication Top Notes:

Spatial and temporal analysis of extreme bioclimate conditions in Vojvodina, Northern Serbia

cited:27

Bioclimatic and climatic tourism conditions at Zlatibor mountain (Western Serbia)

cited:5

The development of transport infrastructure and attitudes of the local population: a case study from the Republic of Serbia

cited:4

Changes in the hierarchy of settlements and attitude of the local population: Evidence from a developing region

cited:2

Socio-economic characteristics as limiting factors of regional development. The case of Kolubara District, Republic of Serbia

cited:2

Mr. Waleed Al-Darkazali | Organic Chemistry Award | Young Scientist Award

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Mr. Waleed Al-Darkazali | Organic Chemistry Award | Young Scientist Award

Mr. Waleed Al-Darkazali, Mustansiriyah University, Iraq

Waleed Nabeel is an experienced educator and researcher, with a Bachelor’s degree in Chemistry from AL-Mustansiriyah University and a Master’s degree in Organic Chemistry from Cairo University. He has worked as a Research Assistant at Cairo University under the supervision of Dr. Rafat Milad Mohareb and Assist. Prof. Nadia Youssef Megally Abdo, gaining valuable experience in research methodologies. Waleed is also certified in Health, Safety, and Environment (HSE) from the Iraqi Chemists Syndicate and has completed a course in Methods of Teaching from AL-Mustansiriyah University College of Education. With a passion for teaching and a dedication to making a difference in the lives of young learners, Waleed currently serves as a Chemistry teacher at ICUS, where he also holds the role of Homeroom teacher for IB students. He possesses strong skills in Microsoft Office, English language proficiency, and analytical techniques such as HPLC, GC, FTIR, and water analysis. Waleed is described as loyal, talented, caring, open-minded, patient, and supportive, embodying the qualities of an exceptional educator and mentor.

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

  • Bachelor’s Degree in Chemistry, AL-Mustansiriyah University (2011-2015)
  • Master’s Degree in Organic Chemistry, Cairo University (2016-2019)

👨‍🔬 Experience:

  • Researcher Assistant (2018-2019) at Micro Analytical Center, Cairo University, under the supervision of Prof. Dr. Rafat Milad Mohareb and Assist. Prof. Nadia Youssef Megally Abdo.
  • Health, Safety, and Environment (HSE) Certification (2019) from the Iraqi Chemists Syndicate.
  • Completed Methods of Teaching course (2019) from AL-Mustansiriyah University College of Education.

💼 Current Position:

  • Homeroom Teacher for IB Students at ICUS
  • Chemistry Teacher at ICUS

🔧 Skills:

  • Proficient in Microsoft Office
  • Fluent in English
  • Experienced in HPLC, GC, FTIR, and Water Analysis techniques.

Publicastion Top Notes:

  1. Uses of cyclohexan-1, 3-dione for the synthesis of thiazole, pyrazole, thiophene, isoxazole and pyran derivatives with antitumor activities
    • Published Year: 2020
    • Journal: Letters in Drug Design & Discovery
    • Cited By: 6
  2. Heterocyclization of 2-Arylidenecyclohexan-1, 3-dione: Synthesis of Thiophene, Thiazole, and Isoxazole Derivatives with Potential Antitumor Activities
    • Published Year: 2020
    • Journal: Anti-Cancer Agents in Medicinal Chemistry
    • Cited By: 5
  3. Molecular dynamics simulations of supramolecular complexes under influence of an external force
    • Published Year: 2023
    • Journal: Chinese Journal of Analytical Chemistry