Abolfazl Mozaffari | Nano Electrospun Scaffolds | Innovative Practices in Academia Award

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Dr. Abolfazl Mozaffari | Nano Electrospun Scaffolds | Innovative Practices in Academia Award

Assistant professor at Azad university Yazd branch, Iran

Dr. Abolfazl Mozaffari is a distinguished researcher and academic specializing in [Field]. With extensive experience in [Research Domains], he has made significant contributions to [Key Achievements]. His work bridges the gap between fundamental science and practical applications, particularly in [Industry or Medical Applications]. As a dedicated scholar, he has published extensively in peer-reviewed journals, participated in major research projects, and mentored students in cutting-edge scientific advancements.

Publication Profile

Google Scholar

Educational Details

Dr. Abolfazl Mozaffari holds a Ph.D. in [Field of Study] from [University Name], where he focused on [Ph.D. Research Topic]. He earned his Master’s degree in [Field] from [Institution], specializing in [Master’s Research Area]. His undergraduate studies in [Relevant Field] were completed at [University Name], laying the foundation for his expertise in [Key Subject].

Professional Experience

Dr. Mozaffari has held key academic and research positions in leading institutions. He currently serves as a [Current Position] at [Institution], where he is actively involved in [Research/Teaching Areas]. Previously, he was a [Previous Role] at [Previous Institution], contributing to advancements in [Relevant Research Field]. His professional journey includes collaborations with industrial partners, where he has applied his expertise to [Specific Applications]. Dr. Mozaffari has also been an invited speaker at international conferences and has served as a reviewer for high-impact journals in his field.

Research Interest

Dr. Mozaffari’s research focuses on:

  • [Research Area 1] (e.g., Advanced Materials for Biomedical Applications)
  • [Research Area 2] (e.g., Nanotechnology in Regenerative Medicine)
  • [Research Area 3] (e.g., Sustainable and Smart Biomaterials)
  • [Research Area 4] (e.g., Biomechanics and Tissue Engineering)

Author Metrics & Impact

  • Publications: [Number] peer-reviewed journal articles, conference papers, and book chapters
  • Citations: [Number] (Google Scholar)
  • h-index: [Value]
  • i10-index: [Value]
  • Editorial Roles: Reviewer/editor for [Journal Names]

Top Noted Publication

  • Argon and Argon–Oxygen Plasma Surface Modification of Gelatin Nanofibers for Tissue Engineering Applications

    • Authors: A. Mozaffari, M. Parvinzadeh Gashti, M. Mirjalili, M. Parsania
    • Journal: Membranes 11 (1), 31
    • Citations: 56 (2021)
    • Summary: This study explores plasma surface modification of gelatin nanofibers using argon and argon-oxygen to enhance biocompatibility and functionality for tissue engineering applications.

  • Polyvinylpyrrolidone/Carbon Nanotube/Cotton Functional Nanocomposite: Preparation and Characterization of Properties

    • Authors: F. Alimohammadi, M. Parvinzadeh Gashti, A. Mozaffari
    • Journal: Fibers and Polymers 19, 1940-1947
    • Citations: 28 (2018)
    • Summary: Investigates the synthesis and characterization of polyvinylpyrrolidone-carbon nanotube-cotton nanocomposites with enhanced functional properties.

  • Air Plasma Functionalization of Electrospun Nanofibers for Skin Tissue Engineering

    • Authors: A. Mozaffari, M. Parvinzadeh Gashti
    • Journal: Biomedicines 10 (3), 617
    • Citations: 17 (2022)
    • Summary: Examines air plasma treatment on electrospun nanofibers to improve cellular attachment and proliferation for skin tissue engineering.

  • Effect of Tannic Acid on Properties of Electrospun Gelatin Nanofibers

    • Authors: A. Mozaffari, M. Mirjalili, M. P. Gashti, M. Parsania
    • Journal: NISCAIR-CSIR, India
    • Citations: 13 (2020)
    • Summary: Studies the impact of tannic acid incorporation on the physical and biological properties of electrospun gelatin nanofibers.

  • Simultaneous Dyeing and Antibacterial Finishing of Nylon Fabric Using Acid Dyes and Colloidal Nanosilver

    • Authors: M. Montazer, A. Mozaffari, F. Alimohammadi
    • Journal: Fibres & Textiles in Eastern Europe 23 (2), 110
    • Citations: 8 (2015)
    • Summary: Discusses a novel approach for dyeing nylon fabric while imparting antibacterial properties using acid dyes and colloidal nanosilver.

  • Electrospinning Nanofibers Gelatin Scaffolds: Nanoanalysis of Properties and Optimizing the Process for Tissue Engineering Functionalization

    • Authors: M. Jalili, A. Mozaffari, M. Gashti, M. Parsania
    • Journal: J. Nanoanalysis 6, 289-298
    • Citations: 7 (2019)
    • Summary: Investigates the optimization of gelatin nanofiber electrospinning parameters for enhanced tissue engineering applications.

  • Effect of Voltage and Distance in Electrospinning of Gelatin

    • Authors: A. Mozaffari, M. Parvinzadeh
    • Journal: Iran. J. Text. Nano-Bio Modif 1, 32-38
    • Citations: 2 (2022)
    • Summary: Evaluates how different electrospinning parameters, such as voltage and collector distance, influence the morphology and mechanical properties of gelatin nanofibers.

  • The Impact of Helium and Nitrogen Plasmas on Electrospun Gelatin Nanofiber Scaffolds for Skin Tissue Engineering Applications

    • Authors: A. Mozaffari, M. Parvinzadeh Gashti, F. Alimohammadi, M. Pousti
    • Journal: Journal of Functional Biomaterials 15 (11), 326
    • Summary: Studies the effect of helium and nitrogen plasma treatments on electrospun gelatin nanofibers to improve scaffold properties for tissue engineering.

Conclusion

Dr. Abolfazl Mozaffari is a highly suitable candidate for the Research for Innovative Practices in Academia Award due to his groundbreaking contributions to nanotechnology, electrospun scaffolds, and tissue engineering applications. His strong research foundation, interdisciplinary approach, and academic mentorship reflect innovative practices in academia. By expanding global collaborations, pursuing commercialization efforts, and integrating AI-driven research, he can further enhance his academic influence and innovation potential.

Oluomachi Ejiofor | Cybersecurity | Best Paper Award

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Ms. Oluomachi Ejiofor | Cybersecurity | Best Paper Award

Cybersecurity Analyst at Austin peay state Unversity, United States

Ms. Oluomachi Ejiofor is a cybersecurity researcher, academic, and AI specialist with expertise in network security, cryptography, cyber threat intelligence, and financial fraud detection. She holds an M.S. in Computer Science from Austin Peay State University (2023) and a B.S. in Information Science from Abia State University (2013).

Currently, she serves as a Graduate Teaching Fellow at Austin Peay State University, where she instructs and mentors students in computer science and cybersecurity. Previously, she worked as a Graduate Research Assistant and Cyber Analyst, contributing to AI-enhanced security models and data privacy solutions.

Her research focuses on machine learning applications in cybersecurity, AI-driven fraud detection, privacy in wireless sensor networks, and blockchain security. She has authored multiple high-impact publications on fraud detection, financial cybersecurity, and cyber threat analytics, with over 400 citations.

Ms. Ejiofor is an active member of IEEE, the Nigeria Computer Society (NCS), and the International Society of Data Science. She also holds several cybersecurity certifications and has contributed to developing AI-based security frameworks for fraud detection and healthcare data protection.

Publication Profile

Google Scholar

Educational Details

  • M.S. in Computer Science (2023) – Austin Peay State University, Clarksville, TN
    • Advisor: Dr. Joseph Elarde
  • B.S. in Information Science (2013) – Abia State University, Uturu, Nigeria

Professional Experience

Ms. Oluomachi Ejiofor is a Graduate Teaching Fellow at the Department of Computer Science, Austin Peay State University, where she has been instructing and mentoring students since 2023. Previously, she worked as a Graduate Research Assistant (2021–2023) at the same institution, focusing on cybersecurity and AI-driven security models under the supervision of Dr. Joseph Elarde.

Before transitioning into academia, she served as a Cyber Analyst at Austin Peay State University, where she led a team in configuring IT infrastructure, implementing cybersecurity frameworks, and securing institutional data. Prior to that, she worked as a Data Administrator at Steps Tech Company, Nigeria (2018–2021), managing data security protocols, conducting security audits, and implementing encryption technologies to protect critical information.

Research Interest

  • Network Security & Cryptography
  • Malware Analysis & Cyber Threat Intelligence
  • Privacy & Anonymity in IoT
  • Cloud & Blockchain Security
  • AI & Machine Learning in Cybersecurity
  • Human Factors in Cybersecurity

Publications & Research Contributions

Ms. Ejiofor has authored several research papers in high-impact journals, covering areas such as:

  • Cybersecurity and AI-enhanced fraud detection
  • Privacy and data protection in wireless sensor networks
  • Cyber threat intelligence and risk mitigation
  • Blockchain and cloud security models

Her notable publications include:

  • Resilient Chain: AI-Enhanced Supply Chain Security and Efficiency Integration
  • Assessing the Effectiveness of Current Cybersecurity Regulations and Policies in the US
  • Enhancing Data Privacy in Wireless Sensor Networks for Healthcare & National Security
  • Cyber Analytics: Modeling the Factors Behind Healthcare Data Breaches
  • A Comprehensive Framework for Strengthening Financial Cybersecurity in the US

She is actively working on machine learning applications in financial risk assessment and AI-driven cybersecurity models for healthcare identity theft prevention.

Professional Affiliations & Certifications

Ms. Ejiofor is a Fellow of the Nigerian Institution of Professional Engineers and Scientists (NIPES) and the International Organization for Academic and Scientific Development (IOASD). She is also a member of the IEEE Computer Society, the Nigeria Computer Society (NCS), and the International Society of Data Science.

She holds certifications in Cybersecurity in Healthcare, Data Security & Privacy, Active Directory, and Microsoft Suite and has expertise in technical support, troubleshooting, and cybersecurity frameworks (NIST, CIA Triad).

Author Metrics

Ms. Ejiofor has a growing research impact in the cybersecurity domain, with multiple publications in peer-reviewed journals and conference proceedings. Her work on AI-enhanced cybersecurity models and fraud prevention frameworks has been cited in studies related to financial security, healthcare data protection, and cyber threat intelligence.

Top Noted Publication

Enhancing Cyber Financial Fraud Detection Using Deep Learning Techniques: A Study on Neural Networks and Anomaly Detection

  • Authors: OA Bello, A Folorunso, A Ogundipe, O Kazeem, A Budale, F Zainab, …
  • Journal: International Journal of Network and Communication Research, Vol. 7 (1), pp. 90-113, 2022
  • Citations: 104
  • Summary: This paper explores the application of deep learning models, particularly neural networks and anomaly detection, to improve fraud detection in financial transactions. The study demonstrates how advanced AI techniques can enhance the accuracy and efficiency of cybersecurity mechanisms in the financial sector.

Machine Learning Approaches for Enhancing Fraud Prevention in Financial Transactions

  • Authors: OA Bello, A Folorunso, OE Ejiofor, FZ Budale, K Adebayo, OA Babatunde
  • Journal: International Journal of Management Technology, Vol. 10 (1), pp. 85-108, 2023
  • Citations: 101
  • Summary: This study presents various machine learning strategies for detecting fraudulent activities in financial transactions. It evaluates the performance of supervised and unsupervised learning models in preventing cyber fraud.

A Comprehensive Framework for Strengthening USA Financial Cybersecurity: Integrating Machine Learning and AI in Fraud Detection Systems

  • Author: OE Ejiofor
  • Journal: European Journal of Computer Science and Information Technology, Vol. 11 (6), pp. 62-83, 2023
  • Citations: 101
  • Summary: This paper proposes a robust AI-driven framework for financial cybersecurity in the U.S., leveraging machine learning algorithms for fraud detection and mitigation. It provides policy recommendations for enhancing financial data security.

Analysing the Impact of Advanced Analytics on Fraud Detection: A Machine Learning Perspective

  • Authors: OA Bello, A Folorunso, J Onwuchekwa, OE Ejiofor, FZ Budale, …
  • Journal: European Journal of Computer Science and Information Technology, Vol. 11 (6), pp. 103-126, 2023
  • Citations: 100
  • Summary: This research examines how advanced analytics, including predictive modeling and deep learning, can improve fraud detection capabilities in financial institutions.

Mechanics and Computational Homogenization of Effective Material Properties of Functionally Graded (Composite) Material Plate FGM

  • Authors: C Mathew, O Ejiofor
  • Journal: International Journal of Scientific and Research Publications, Vol. 13 (9), pp. 128-150, 2023
  • Citations: 21
  • Summary: This paper explores the computational modeling of functionally graded materials (FGM), focusing on their mechanical properties and structural behavior.

Conclusion

Ms. Ejiofor is a strong contender for the Best Paper Award, given her highly cited research, AI-driven cybersecurity innovations, and practical contributions to fraud detection and data privacy. If she continues expanding her leadership in cybersecurity research, publishing in more high-impact journals, and emphasizing large-scale real-world applications, she will solidify her position as a top cybersecurity researcher.

Alina Elena Coman | Regenerative Medicine | Best Researcher Award

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Dr. Alina Elena Coman | Regenerative Medicine | Best Researcher Award

Third Scientific Researcher at National Research and Development Institute for Textiles and Leather (INCDTP) – Bucharest, Romania.

Dr. Alina Elena Coman is a dedicated scholar and researcher in [Field], known for her expertise in [Key Research Areas]. She has made substantial contributions to [Academic Research, Industry Applications, or Policy Development], shaping the future of [Relevant Sector]. Passionate about advancing knowledge, she actively collaborates with scholars and professionals worldwide.

Publication Profile

Scopus

orcid

Educational Details

Dr. Alina Elena Coman holds a Ph.D. in [Specify Field] from [University Name], where her research focused on [Research Topic]. She earned her Master’s degree in [Field] from [University Name], specializing in [Specialization], and completed her Bachelor’s degree in [Field] at [University Name]. Throughout her academic journey, she has demonstrated excellence in [Key Achievements, Honors, or Scholarships].

Professional Experience

Dr. Coman is a distinguished [Current Position] at [Institution/University Name], where she has been actively engaged in [Teaching, Research, Administrative Roles]. With extensive experience in [Key Areas of Expertise], she has contributed to the academic community through [Notable Initiatives, Course Development, or Industry Collaborations]. She has also held previous positions as [Former Roles], working on [Projects, Supervisions, or Notable Achievements].

Research Interest

Her research focuses on [Main Research Areas], including [Specific Topics]. She is particularly interested in [Emerging Trends, Applications, or Innovations], with an emphasis on [Specific Contributions]. Her work integrates [Interdisciplinary Approaches, Technologies, or Methodologies], making significant advancements in [Field of Study].

Author Metrics & Impact

Dr. Coman’s scholarly contributions are reflected in her [Number] publications in high-impact journals indexed in Scopus/Web of Science. Her work has garnered [Number] citations, with an h-index of [Value], demonstrating the influence of her research. She has also contributed to [Book Chapters, Conferences, or Patents], further enriching the academic discourse in [Field].

Top Noted Publication

1. Bone Fillers with Balance Between Biocompatibility and Antimicrobial Properties

  • Journal: Biomimetics
  • Publication Date: February 10, 2025
  • DOI: 10.3390/biomimetics10020100
  • Contributors: Bogdan Valeriu Sorca, Durmuş Alpaslan Kaya, Madalina Georgiana Albu Kaya, Marius Enachescu, Daniela-Madalina Ghetu, Laura-Bianca Enache, Iulian Boerasu, Alina Elena Coman, Laura Cristina Rusu, Rodica Constantinescu, et al.
  • Summary: This study focuses on the development of bone fillers that balance biocompatibility and antimicrobial properties, improving their performance for orthopedic applications.

2. New Integrated Processing of Chicken Bone Waste Using an Enzymatic Pretreatment and Slow Pyrolysis to Produce Green Chemicals

  • Journal: Energy Conversion and Management
  • Publication Date: January 2025
  • DOI: 10.1016/j.enconman.2024.119281
  • ISSN: 0196-8904
  • Contributors: Gabriela Ionescu, Mircea-Gabriel Macavei, Mariana Pătrascu, Adrian Volceanov, Roxana Pătrascu, Sebastian Werle, Agata Mlonka-Mędrala, Alina Elena Coman, Aneta Magdziarz, Cosmin Mărculescu
  • Summary: This research explores a novel sustainable approach to processing chicken bone waste using enzymatic pretreatment and pyrolysis, aiming to generate eco-friendly biomaterials and chemicals.

3. The Influence of Basil and Cinnamon Essential Oils on Bioactive Sponge Composites of Collagen Reinforced with Hydroxyapatite

  • Journal: Materials
  • Publication Date: January 30, 2025
  • DOI: 10.3390/ma18030626
  • Contributors: Alina Robu, Madalina Georgiana Albu Kaya, Aurora Antoniac, Durmuș Alpaslan Kaya, Alina Elena Coman, Maria-Minodora Marin, Robert Ciocoiu, Rodica Roxana Constantinescu, Iulian Antoniac
  • Summary: This study investigates bioactive sponge composites incorporating essential oils (basil and cinnamon) with collagen-hydroxyapatite scaffolds, evaluating their antimicrobial and regenerative potential.

4. Marine Resources Gels as Main Ingredient for Wound Healing Biomaterials: Obtaining and Characterization

  • Journal: Gels
  • Publication Date: November 11, 2024
  • DOI: 10.3390/gels10110729
  • Contributors: Alina Elena Coman, Maria Minodora Marin, Ana Maria Roșca, Madalina Georgiana Albu Kaya, Rodica Roxana Constantinescu, Irina Titorencu
  • Summary: This research focuses on the development of marine-derived biomaterials, specifically gels for wound healing, optimizing their bioactivity and therapeutic potential.

5. Novel Collagenous Sponge Composites for Osteochondral Regeneration in Rat Knee Models: A Comparative Study of Keratin, Hydroxyapatite, and Combined Treatments

  • Journal: Cureus
  • Publication Date: November 11, 2024
  • DOI: 10.7759/cureus.73428
  • ISSN: 2168-8184
  • Contributors: Florin Popescu, Madalina Georgiana Albu Kaya, Florin Miculescu, Alina Elena Coman, Diana-Larisa Ancuta, Cristin Coman, Adrian Barbilian
  • Summary: This study compares the effectiveness of collagen-based sponge composites enriched with keratin and hydroxyapatite for osteochondral regeneration in animal models, offering insights into their potential clinical applications.

Conclusion

Dr. Alina Elena Coman is a strong candidate for the Best Researcher Award, given her expertise in biomaterials, high-impact publications, and interdisciplinary collaborations. Her research not only advances fundamental science but also has real-world applications in healthcare and sustainability. While increasing grant acquisition and translational research could enhance her profile further, her current contributions already position her as an outstanding researcher in regenerative medicine.

T. Sreenivasulu Reddy | Condensed Matter Physics | Academic Excellence Paper Award

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Dr. T. Sreenivasulu Reddy | Condensed Matter Physics | Academic Excellence Paper Award

Professor of Physics & Dean FDP at Viswam Engineering College, India

Dr. T. Sreenivasulu Reddy is an accomplished physicist specializing in thin film technology and transparent conducting oxides (TCOs). He obtained his Ph.D. from Sri Venkateswara University, Tirupati, in 2016, focusing on Mo-doped ZnO thin films for optoelectronic applications. Currently serving as an Assistant Professor in Physics at JNTUA, he has extensive experience in material characterization, photovoltaics, and semiconductor research. Dr. Reddy has published extensively in high-impact journals, authored a book on thin films, and contributed to book chapters on advanced material sciences. His research continues to shape the field of transparent conductors and their applications in solar energy.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Details

  • Ph.D. in Physics (2016) – Sri Venkateswara University (S.V. University), Tirupati, India
    • Thesis: Investigations on Mo-Doped ZnO Thin Films Deposited by Spray Pyrolysis
    • Supervisor: Prof. K. T. Ramakrishna Reddy
  • M.Phil. in Physics (2007) – Periyar University, Salem, Tamil Nadu (71.5%)
  • M.Sc. in Physics (2004) – Sri Venkateswara University, Tirupati, India (72.3%)
  • B.Sc. in Mathematics, Physics, and Geology (2001) – Sri Venkateswara University, Tirupati, India (74.2%)

Professional Experience

Dr. T. Sreenivasulu Reddy has been serving as an Assistant Professor in Physics since 2016, ratified by Jawaharlal Nehru Technological University Anantapur (JNTUA), Anantapuramu, India. With over a decade of experience in teaching and research, he specializes in thin film technology, transparent conducting oxides (TCOs), and photovoltaic materials. He has mentored students in experimental physics and material science and has actively contributed to curriculum development in advanced physics topics.

Research Interest

  • Thin Film Deposition Techniques: Spray Pyrolysis, Sol-Gel, and Chemical Vapor Deposition (CVD)
  • Transparent Conducting Oxides (TCOs): Mo-doped ZnO, Indium Tin Oxide (ITO)
  • Optoelectronic Properties of Thin Films: Electrical, Optical, and Structural Characterization
  • Semiconductor Materials for Solar Cells: Efficiency Enhancement and Material Engineering
  • Photovoltaic Device Fabrication and Characterization

Author Metrics & Impact

Dr. Reddy has authored several peer-reviewed journal articles, book chapters, and a book on thin film materials. His notable works include:

  • Journal Publications: 6+ papers in reputed journals such as Applied Surface Science, Material Science Research India, and AIP Conference Proceedings.
  • Book Publication: “Transparent Conducting Oxides (Mo-doped ZnO Thin Films)” (Lambert Academic Publishing, 2019)
  • Book Chapter: “Growth of Mo-doped ZnO (MZO) Films by Chemical Spray Process” (BP International, 2024)
  • Author Metrics: His research has been cited in multiple international studies, contributing significantly to advancements in thin film physics and materials science.

Top Noted Publication

A Critical Study of the Optical and Electrical Properties of Transparent and Conductive Mo-Doped ZnO Films by Adjustment of Mo Concentration

  • Authors: S.R. Tirumalareddygari, P.R. Guddeti, K.T. Ramakrishna Reddy
  • Journal: Applied Surface Science
  • Volume: 458, Pages: 333-343, Year: 2018
  • Citations: 51

Electrical and Photoluminescence Properties of Mo-Doped ZnO Films Deposited by Spray Pyrolysis

  • Authors: T.S. Reddy, K.T. Ramakrishna Reddy, G. Phaneendra Reddy
  • Journal: Material Science Research India
  • Volume: 15, Pages: 218-223, Year: 2018
  • Citations: 3

Precursor Molarity Influence on Sprayed Mo-Doped ZnO Films for Solar Cells

  • Authors: S. Chevva, S.R. Tirumalareddygari, P.R. Guddeti, T.R.R. Kotte
  • Journal: Indian Journal of Science and Technology
  • Volume: 15 (36), Pages: 1800-1807, Year: 2022
  • Citations: 2

Substrate Temperature Influence on the Properties of Sprayed Mo-Doped ZnO Films

  • Authors: K.T.R. Reddy, T. Sreenivasulu Reddy, M. Vasudeva Reddy
  • Journal: International Journal of Advanced Scientific and Technical Research
  • Volume: 4 (5), Year: 2015

Growth of Mo-Doped ZnO (MZO) Films by Chemical Spray Process

  • Authors: K.T.R. Reddy, T. Sreenivasulu Reddy, N. Revathi
  • Book: Chemical and Materials Sciences – Developments and Innovations
  • Volume: 3, Publisher: BP International, Year: 2024

Conclusion

Dr. T. Sreenivasulu Reddy is a highly qualified candidate for the Academic Excellence Paper Award due to his strong research background, impactful publications, and expertise in thin film physics and semiconductor materials. His work on Mo-doped ZnO thin films has contributed significantly to optoelectronic and photovoltaic applications.

While he has an impressive academic profile, increasing his high-impact journal publications, citation count, and international collaborations would further strengthen his case for future awards.

Madanjit Singh | Education Technology | Best Paper Award

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Dr. Madanjit Singh | Education Technology | Best Paper Award

Assistant Professor at Guru Nanak Dev University, India.

Dr. Madanjit Singh is a dedicated academician and researcher specializing in Educational Technology and Computer Science. With extensive teaching experience at Guru Nanak Dev University, he has mentored students in programming and software development, fostering innovation in learning approaches. His commitment to education is reflected in his research on optimizing digital learning platforms. Dr. Singh’s technical expertise spans multiple programming languages, databases, and operating systems, making significant contributions to academia and practical applications in computer science education.

Publication Profile

Scopus

Google scholar

Educational Details

Dr. Madanjit Singh is currently pursuing a Ph.D. in Educational Technology at Guru Nanak Dev University, Amritsar. He holds a Master of Computer Applications (MCA) from Guru Nanak Dev University Regional Campus, Gurdaspur, where he achieved a CGPA of 9.46. He completed his Bachelor of Computer Applications (BCA) with 83.90% from Swami Satyanand College of Management and Technology, Amritsar. His early education includes Senior Secondary (Non-Medical Stream) from Khalsa Senior Secondary School, Amritsar, under the Punjab School Education Board, and Matriculation from DD High School, Amritsar. Additionally, he underwent six months of industrial training in J2SE & J2EE at VMM Education, Amritsar, where he worked on projects related to Ciphered Mail. He has also qualified for UGC NET (November 2017) and GATE (2018).

Professional Experience

Dr. Singh has been actively involved in academia, working as an Assistant Professor at Guru Nanak Dev University (GNDU) Main Campus, Amritsar. He has been associated with GNDU since 2015, initially in a full-time capacity and later as a part-time faculty member across multiple academic sessions. His responsibilities have included delivering lectures, assisting students with project-based learning in programming languages such as Java, PHP, .NET, and VB.NET, and guiding students in website and application development. Additionally, he has played a crucial role in administrative tasks, student evaluations, and implementing innovative teaching methodologies to enhance learning experiences.

Research Interest

Dr. Singh’s research focuses on Educational Technology, with an emphasis on data structures, algorithm design, and operating systems. His work explores the integration of technology in education, aiming to enhance learning methodologies through digital platforms and programming innovations. His expertise in various programming languages and database systems contributes to his research on optimizing educational tools and interactive learning systems.

Author Metrics & Impact

Dr. Singh’s research contributions are reflected in his academic pursuits and teaching methodologies. While specific publication details are not provided, his work in Educational Technology and Computer Science is anticipated to impact the field through ongoing research and teaching innovations. His engagement in guiding students in software projects and programming advancements underscores his influence in the academic community.

Top Noted Publication

  • Sustainable Development Goal for Quality Education (SDG 4): A study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a genetic algorithm

    • Authors: M. Saini, E. Sengupta, M. Singh, H. Singh, J. Singh
    • Journal: Education and Information Technologies, Vol. 28 (2), pp. 2031-2069 (2023)
    • Citations: 138
    • Summary: This study investigates the relationships among the indicators of SDG 4 (Quality Education) using a genetic algorithm. The research provides insights into how various factors influence education quality and suggests data-driven strategies for improving global education policies.

  • Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system

    • Authors: M. Singh, S.O. Adebayo, M. Saini, J. Singh
    • Journal: Education and Information Technologies, Vol. 26 (6), pp. 7569-7607 (2021)
    • Citations: 124
    • Summary: This paper examines India’s e-learning initiatives launched in response to the COVID-19 pandemic. It assesses the effectiveness of online learning platforms in higher education and explores the challenges faced by students and educators in adapting to digital education.

  • Analysing the tweets to examine the behavioural response of Indian citizens over the approval of national education policy 2020

    • Authors: M. Saini, M. Singh, M. Kaur, M. Kaur
    • Journal: International Journal of Educational Development, Vol. 82, Article 102356 (2021)
    • Citations: 23
    • Summary: This study employs sentiment analysis on Twitter data to evaluate public reactions to India’s National Education Policy (NEP) 2020. The findings highlight key themes in public discourse, including concerns, support, and criticisms of the policy.

  • A Facial and Vocal Expression Based Comprehensive Framework for Real-Time Student Stress Monitoring in an IoT-Fog-Cloud Environment

    • Authors: M. Singh, S. Bharti, H. Kaur, V. Arora, M. Saini, M. Kaur, J. Singh
    • Journal: IEEE Access, Vol. 10, pp. 63177-63188 (2022)
    • Citations: 19
    • Summary: This paper introduces a novel IoT-fog-cloud-based framework that uses facial and vocal expressions to monitor student stress levels in real time. The study explores how AI-driven systems can enhance student well-being in educational environments.

  • Artificial intelligence inspired multilanguage framework for note-taking and qualitative content-based analysis of lectures

    • Authors: M. Saini, V. Arora, M. Singh, J. Singh, S.O. Adebayo
    • Journal: Education and Information Technologies, Vol. 28 (1), pp. 1141-1163
    • Summary: This research proposes an AI-powered framework that facilitates multilingual note-taking and qualitative content analysis for lectures. The system aims to improve accessibility and comprehension for students in diverse educational settings.

Conclusion

Dr. Madanjit Singh is a highly suitable candidate for a Best Researcher Award in Educational Technology. His research contributions, strong citation record, AI-driven innovations, and dedication to digital education position him as a leading academic in the field. Strengthening global collaborations and industry partnerships could further enhance his eligibility for prestigious international research awards.

 

Yandong Zhao | Soil Moisture Content | Best Researcher Award

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Dr. Yandong Zhao | Soil Moisture Content | Best Researcher Award

Professor at College of Engineering, Beijing Forestry University, China

Dr. Yandong Zhao is a leading researcher in smart forestry and precision agriculture. As a Professor at Beijing Forestry University, he has pioneered IoT-based irrigation systems and advanced plant water stress detection methods. His work integrates automation, environmental sensing, and intelligent forestry management to improve resource efficiency and sustainability. Dr. Zhao has led multiple National Key R&D projects and NSFC-funded research, contributing significantly to the field of agriculture and environmental engineering.

Publication Profile

Scopus

Educational Details

  • Ph.D. in Agricultural Electrification and Automation (2002) – China Agricultural University, College of Information and Electrical Engineering (Advisor: Prof. Wang Yiming)
  • M.S. in Agricultural Electrification and Automation (1999) – China Agricultural University, College of Information and Electrical Engineering (Advisor: Prof. Wang Yiming)

Professional Experience

Dr. Yandong Zhao is a Professor and Ph.D. advisor at the School of Engineering, Beijing Forestry University. He has been with the university since 2002, progressing from Lecturer (2002-2003) to Associate Professor (2003-2011), and later to Professor (2012-present). Over his career, he has led numerous national and provincial research projects focused on precision irrigation, environmental monitoring, and smart forestry technologies.

Research Interest

  • Smart Forestry and Precision Agriculture – Development of IoT-based irrigation systems and environmental monitoring technologies.
  • Plant Water Stress Detection – Using 3D imaging and soil moisture analysis for real-time monitoring.
  • Ecological and Forestry Automation – Smart surveillance, pest control, and soil parameter detection in forests.

Author Metrics & Impact

  • Publications: Numerous journal articles and conference papers on precision irrigation, environmental monitoring, and smart forestry technologies.
  • Citations: His work has been cited extensively in the fields of agricultural automation and forestry engineering.
  • Research Funding: Secured and managed over 10 national and provincial-level research grants.

Top Noted Publication

Three-Dimensional Segmentation Method of Soil Multi-Category Pores Based on Improved UNet-VAE Network

  • Authors: Qiaoling Han, Meihui Song, Benye Xi, Yue Zhao, Yandong Zhao
  • Journal: Transactions of the Chinese Society of Agricultural Engineering
  • Summary: Proposes an enhanced UNet-VAE deep learning model for accurate 3D segmentation of soil pores, improving soil structure analysis in agricultural engineering.

Estimation of Relative Permittivity of Tree Root System Based on Ground Penetrating Radar

  • Authors: Huiyun Liang, Guoqiu Fan, Yandong Zhao, Hao Liang
  • Journal: Journal of Beijing Forestry University
  • Summary: Uses ground-penetrating radar (GPR) to estimate the relative permittivity of tree roots, aiding non-destructive root system analysis for forestry applications.

Study on the Variation Characteristics and Influencing Factors of Stem Water Content of Acer truncatum During the Overwintering Period (Open Access)

  • Authors: Zehai Xu, Yandong Zhao
  • Journal: Journal of Plant Research
  • Summary: Investigates stem water content changes in Acer truncatum during winter, analyzing seasonal variations and environmental influences.
  • Citations: 1

Research on 3D Reconstruction Based on Improved Binocular Vision Algorithm

  • Authors: Jiahao Zou, Yandong Zhao
  • Journal: Journal of Optoelectronics Laser
  • Summary: Develops an improved binocular vision algorithm for 3D object reconstruction, enhancing precision in forestry and agricultural imaging.

Interpretation of Sequence Characteristics and Influencing Factors of Stem Water Content for Acer pictum subsp. mono in its Growing Season (Open Access)

  • Authors: Zehai Xu, Yandong Zhao
  • Journal: Chinese Journal of Plant Ecology
  • Summary: Examines water transport dynamics in Acer pictum subsp. mono during its growing season, assessing environmental and physiological influences.

Conclusion

Dr. Yandong Zhao is a strong contender for the Best Researcher Award, particularly in smart forestry, soil moisture analysis, and precision irrigation. His technical expertise, research leadership, and funding success demonstrate a high level of impact in agricultural automation and environmental sustainability.

To further enhance his candidacy, he could focus on publishing in top-tier journals, increasing international collaborations, and expanding the real-world applications of his research. If these areas are addressed, he would be an outstanding choice for this prestigious award.

Kaya Emre Arikan | Mobile security | Best Researcher Award

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Mr. Kaya Emre Arikan | Mobile security | Best Researcher Award

Kaya Emre Arikan at Gazi University, Turkey

Kaya Emre Arıkan is a cybersecurity expert and researcher specializing in ethical hacking, penetration testing, and digital forensics. With a background in Electrical & Electronics Engineering and advanced degrees in Computer Forensics and Information Security Engineering, he has extensive experience in cybersecurity risk assessment and system protection. He is currently a Cybersecurity System Engineer at Aselsan A.Ş., designing and implementing secure architectures. Arıkan has contributed to major cybersecurity projects in both government and private sectors and has received multiple certifications, including OSCP, OSEP, OSWE, CEH, and CHFI. He has also been recognized in the Ericsson Hall of Fame for cybersecurity contributions.

Publication Profile

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Educational Details

  • Ph.D. (Ongoing) – Information Security Engineering, Gazi University, Ankara (2020 – Present)
  • M.Sc. – Computer Forensics, Gazi University, Ankara (2017 – 2019)
    • Thesis: Vulnerability Analysis of Android Applications of Public Institutions in Turkey (GPA: 3.75)
  • B.Sc. – Electrical & Electronics Engineering, Gazi University, Ankara (2006 – 2011) (GPA: 3.13)

Professional Experience

Kaya Emre Arıkan is a cybersecurity expert with over a decade of experience in system security, network protection, and ethical hacking. Currently, he serves as a Cybersecurity System Engineer at Aselsan A.Ş., where he designs cybersecurity architectures, manages risk assessments, conducts penetration testing, and oversees cybersecurity operations.

Previously, he worked as a Senior System & Network Security Specialist at Turkey’s Ministry of Health – General Directorate of Health Information System, where he optimized security devices, managed next-generation firewalls (NGFW), and collaborated with the Incident Response team. His early career includes roles as a Cybersecurity Consultant (Student Mentor) at Offensive Security and an Engineer at Aselsan A.Ş., providing support for secure communication systems.

He also has experience in the private sector, having worked as a Network Specialist at Bilsangrup Bilişim, supporting corporate and defense projects.

Research Interest

  • Cybersecurity architecture and risk management
  • Penetration testing and ethical hacking
  • Vulnerability analysis of mobile applications
  • Digital forensics and cyber threat intelligence
  • Network security optimization and firewall management

Author Metrics & Recognitions

  • Certifications:

    • Offensive Security Certified Professional (OSCP)
    • OffSec Experienced Penetration Tester (OSEP)
    • Offensive Security Web Expert (OSWE)
    • EC-Council Certified Ethical Hacker (CEH)
    • Cisco CCNP, CCNA CyberOps
    • Computer Hacking Forensic Investigator (CHFI)

  • Awards & Honors:

    • Ericsson Hall of Fame (2023) – Recognized for contributions to security vulnerability reporting
    • 2nd Place in Secure Code Development Competition (Endpoint Labs & Checkmarx)

  • Conference Participation:

    • BlackHat MEA (2022 & 2023, Riyadh) – SOC-200 and WEB-200 Training

Top Noted Publication

1. AndroCom: A Real-World Android Applications’ Vulnerability Dataset to Assist with Automatically Detecting Vulnerabilities

  • Journal: Applied Sciences
  • Publication Date: March 1, 2025
  • DOI: 10.3390/app15052665
  • Contributors: Kaya Arıkan, Ercan Yilmaz
  • Summary: This study presents AndroCom, a comprehensive dataset of real-world Android applications, designed to aid in the automatic detection of vulnerabilities. The dataset provides a valuable resource for researchers and cybersecurity professionals in enhancing automated security analysis tools for Android applications.

2. Detection of SSL/TLS Implementation Errors in Android Applications

  • Journal: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
  • Publication Date: June 27, 2021
  • DOI: 10.29109/gujsc.878053
  • Contributors: Kaya Emre CİBALIK, Cemal KOÇAK
  • Summary: This research focuses on detecting SSL/TLS implementation errors in Android applications, which are critical security flaws that can lead to data breaches and man-in-the-middle attacks. The study explores various security lapses in cryptographic protocols and suggests improved validation methods for securing mobile applications.

Conclusion

Mr. Kaya Emre Arıkan is a strong candidate for the Best Researcher Award, particularly in the domain of mobile security and ethical hacking. His industry experience, technical expertise, and recognition in cybersecurity make him highly deserving. However, improving his research impact (citations, patents, and global collaborations) could further elevate his standing for this prestigious award.

Reza Bahrami | Neonatology | Best Researcher Award

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Dr. Reza Bahrami | Neonatology | Best Researcher Award

Associate Professor at Shiraz University of Medical Sciences, Iran

Dr. Reza Bahrami is an Assistant Professor of Neonatology at Shiraz University of Medical Sciences, Iran. He earned his M.D. from Shiraz University of Medical Sciences in 1997, followed by a Pediatric Residency at Kerman University of Medical Sciences and a Neonatology Fellowship at Shiraz University. With extensive experience in neonatal intensive care, he has been leading the NICU at Zaynabieh Hospital since 2011.

Dr. Bahrami’s research focuses on neonatology, pediatric genetics, metabolic disorders, and the impact of infectious diseases, including COVID-19, on vulnerable populations. He has authored numerous publications in high-impact journals, particularly in neonatal health, genetic disorders, and epidemiological studies. His most cited work includes studies on vertical transmission of COVID-19, genetic predisposition to obesity and cleft lip, and the impact of metabolic diseases on COVID-19 outcomes.

Beyond research, Dr. Bahrami is actively involved in medical education, mentoring medical students, pediatric residents, and neonatology fellows. His contributions to neonatal care and pediatric medicine continue to shape clinical practice and research in Iran and beyond.

Publication Profile

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Educational Details

Dr. Reza Bahrami obtained his M.D. from Shiraz University of Medical Sciences, Iran, in 1997. He completed his Pediatric Residency at Kerman University of Medical Sciences in 2007 and earned his Neonatology Fellowship from Shiraz University of Medical Sciences in 2011. He also holds board certifications in Pediatrics (2007) and Neonatology (2011) from the Iranian National Board of Medical Examinations.

Professional Experience

Dr. Bahrami began his academic career as an Assistant Professor in the Department of Pediatrics at Fasa University of Medical Sciences (2007-2009). Since 2011, he has been an Assistant Professor in the Department of Neonatology at Shiraz University of Medical Sciences. He currently serves as the Chief of the Neonatal Intensive Care Unit (NICU) at Zaynabieh Hospital. His role involves providing specialized neonatal care, mentoring medical students, pediatric residents, and neonatology fellows, and supervising clinical research projects.

Research Interest

Dr. Bahrami’s research focuses on neonatology, neonatal screening, hemoglobinopathies, neonatal sepsis, and alternative therapies for neonatal care. He has conducted studies on neonatal anemia screening, the impact of herbal medicine on infant health, and the immunogenicity of vaccines in neonates.

Top Noted Publication

Vertical Transmission of Coronavirus Disease 2019 (COVID-19) from Infected Pregnant Mothers to Neonates: A Review

  • Journal: Fetal and Pediatric Pathology (2020)
  • Citations: 637
  • Summary: This review examines the potential for SARS-CoV-2 transmission from pregnant mothers to their newborns, analyzing case studies and discussing clinical implications for neonatal care.

Proportion and Mortality of Iranian Diabetes Mellitus, Chronic Kidney Disease, Hypertension, and Cardiovascular Disease Patients with COVID-19: A Meta-Analysis

  • Journal: Journal of Diabetes & Metabolic Disorders (2021)
  • Citations: 46
  • Summary: This meta-analysis evaluates the prevalence and mortality risk of COVID-19 among Iranian patients with preexisting metabolic and cardiovascular diseases.

The Risk and Prevalence of COVID-19 Infection in Colorectal Cancer Patients: A Systematic Review and Meta-Analysis

  • Journal: Journal of Gastrointestinal Cancer (2020)
  • Citations: 36
  • Summary: This study investigates the susceptibility of colorectal cancer patients to COVID-19 and assesses potential complications due to the infection.

Evidence from a Meta-Analysis for Association of MC4R rs17782313 and FTO rs9939609 Polymorphisms with Susceptibility to Obesity in Children

  • Journal: Diabetes & Metabolic Syndrome: Clinical Research & Reviews (2021)
  • Citations: 34
  • Summary: A genetic study exploring the role of specific polymorphisms in childhood obesity, contributing to the understanding of genetic predispositions to metabolic disorders.

Association of BMP4 rs17563 Polymorphism with Nonsyndromic Cleft Lip with or Without Cleft Palate Risk: Literature Review and Comprehensive Meta-Analysis

  • Journal: Fetal and Pediatric Pathology (2021)
  • Citations: 34
  • Summary: This meta-analysis examines the genetic link between BMP4 polymorphisms and the risk of nonsyndromic cleft lip and cleft palate, contributing to pediatric and genetic research.

Conclusion

Dr. Reza Bahrami is a highly suitable candidate for the Best Researcher Award in Neonatology due to his significant contributions to neonatal health, highly cited research, leadership in neonatal intensive care, and commitment to medical education. Strengthening international collaborations, exploring novel neonatal treatments, and publishing in top-tier journals could further enhance his research impact.

Federico Brandalise | Cancer Neuroscience | Best Researcher Award

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Prof. Federico Brandalise | Cancer Neuroscience | Best Researcher Award

Department of Biomedical Sciences at University of Cagliari, Italy

Prof. Federico Brandalise is a neuroscientist with expertise in synaptic physiology, dendritic integration, and neuroplasticity. He has held academic positions at the University of Cagliari, University of Milan, and research fellowships at institutions in Switzerland and the United States. His work has been recognized with multiple awards, including the 3Brain – Massimo Grattarola Award and the Advanced Postdoc Mobility Fellowship from the Swiss National Science Foundation. His research explores the cellular mechanisms underlying learning, memory, and neurological disorders.

Publication Profile

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Educational Details

  • Ph.D. in Neuroscience, University of Zurich, Switzerland (2016)
    • Thesis: The Dendritic NMDA Spike as a Fundamental Mechanism Initiating Associative Plasticity in the CA3 Region of the Hippocampus
    • Supervisors: Prof. Fritjof Helmchen, PhD, and Prof. Urs Gerber, MD
  • Master’s Degree in Neurobiology, University of Pavia, Italy (2013)
    • Thesis: Synaptic cross-talk between granule cells and Golgi cells through GABAB-mediated modulation of GABAA-dependent neurotransmission in the cerebellum
    • Supervisor: Prof. Paola Rossi
  • Bachelor’s Degree in Human Biology and Biomedical Science, University of Pavia, Italy (2008)
    • Thesis: The NR2A subunit of the N-methyl D-aspartate receptor is required for potentiation at the cerebellar mossy fiber to granule cell synapse and vestibulo-cerebellar motor learning
    • Supervisor: Prof. Paola Rossi

Professional Experience

Prof. Federico Brandalise is a tenure-track Assistant Professor at the University of Cagliari, Italy, where he is part of the Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology. Before his current role, he was a tenure-track Assistant Professor at the University of Milan (2021–2024). His postdoctoral work includes research at the University of Geneva, focusing on the learning-related modulation of cortical dendrites, and at the University of Texas at Austin, investigating dendritic signaling in Fragile X syndrome. His doctoral research at the University of Zurich explored dendritic NMDA spikes in hippocampal associative plasticity.

Research Interest

Prof. Brandalise specializes in neurophysiology, synaptic plasticity, and dendritic integration. His work focuses on understanding neural circuit mechanisms in learning and memory, the role of dendritic nonlinearities in cortical processing, and the implications of voltage-gated ion channels in neurodevelopmental disorders and glioblastoma stem cells.

Top Noted Publication

Dendritic NMDA spikes are necessary for timing-dependent associative LTP in CA3 pyramidal cells

  • Nature Communications (2016) – Citations: 95

Dietary Supplementation of Hericium erinaceus Increases Mossy Fiber‐CA3 Hippocampal Neurotransmission and Recognition Memory in Wild‐Type Mice

  • Evidence-Based Complementary and Alternative Medicine (2017) – Citations: 82

Hericium erinaceus Improves Mood and Sleep Disorders in Patients Affected by Overweight or Obesity

  • Evidence-Based Complementary and Alternative Medicine (2019) – Citations: 81

NR2A subunit of NMDA receptors is required for potentiation at the mossy fiber to granule cell synapse and vestibulo-cerebellar motor learning

  • Neuroscience (2011) – Citations: 57

Dietary Supplementation of Lion’s Mane Medicinal Mushroom and Spatial Memory in Wild-Type Mice

  • International Journal of Medicinal Mushrooms (2018) – Citations: 51

Conclusion

Prof. Federico Brandalise is an exceptional researcher with strong credentials in synaptic physiology, neuroplasticity, and glioblastoma research. His high-impact publications, international experience, and recognition through prestigious fellowships and awards make him a strong contender for the Best Researcher Award. To further strengthen his candidacy, he could expand his clinical impact, interdisciplinary collaborations, and leadership roles in international research networks.

Sidharth Mahapatra | Pediatrics | Best Researcher Award

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Mr. Sidharth Mahapatra | Pediatrics | Best Researcher Award

Associate Professor at University of Nebraska Medical Center – UNMC, United States

Dr. Sidharth Mahapatra is a physician-scientist specializing in pediatric critical care medicine and pediatric neuro-oncology. He serves as an Associate Professor at the University of Nebraska Medical Center and Creighton University School of Medicine, where he directs research in the Division of Critical Care Medicine. His research explores molecular pathways in pediatric brain tumors and respiratory distress syndromes, with a strong focus on developing novel targeted therapies. Dr. Mahapatra has received numerous awards for clinical excellence, research innovation, and medical education, including the Hobart E. Wiltse Excellence in Medical Education Award (2023), the NCI Loan Repayment Award (2022), and multiple UNeMed Invention Contributor recognitions.

Publication Profile

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Educational Details

Dr. Sidharth Mahapatra earned his B.A. in Cellular/Molecular Biology from Knox College, Galesburg, IL, graduating Magna Cum Laude with an Honors Thesis under Mark R. Brodl. He pursued his M.D. and Ph.D. in Biochemistry/Molecular Biology at Rosalind Franklin University, North Chicago, IL, where he was inducted into Alpha Omega Alpha and conducted his Ph.D. research under Kenneth E. Neet.

Professional Experience

Dr. Mahapatra is an Associate Professor in the Department of Pediatrics and the Department of Biochemistry and Molecular Biology at the University of Nebraska Medical Center (UNMC), Omaha, NE. He also holds a faculty position as an Assistant Professor in Biomedical Sciences at Creighton University School of Medicine. Previously, he was an Assistant Professor in Pediatrics and Biochemistry & Molecular Biology at UNMC and Creighton University.

In addition to his academic roles, Dr. Mahapatra has been the Director for Research in the Division of Critical Care Medicine at UNMC since 2021, having previously served as Interim Director (2018–2020).

Research Interest

Dr. Mahapatra’s research focuses on pediatric neuro-oncology, medulloblastoma, and critical care medicine, particularly in pediatric acute respiratory distress syndrome (PARDS). His work involves the molecular mechanisms of tumor progression and metastasis, with a special interest in identifying novel therapeutic targets for pediatric brain tumors and other malignancies.

Author Metrics

Dr. Mahapatra has authored numerous high-impact publications, with a growing citation record in pediatric critical care and cancer research. Some of his notable publications include:

  • “Paediatric acute respiratory distress syndrome incidence and epidemiology (PARDIE)” – The Lancet Respiratory Medicine (2019) – 327 citations
  • “Acute respiratory distress syndrome” – StatPearls [Internet] (2024) – 138 citations
  • “MUC4 mucin—a therapeutic target for pancreatic ductal adenocarcinoma” – Expert Opinion on Therapeutic Targets (2017) – 85 citations
  • “Disruption of C1galt1 gene promotes development and metastasis of pancreatic adenocarcinomas in mice” – Gastroenterology (2018) – 82 citations
  • “microRNAs orchestrate pathophysiology of breast cancer brain metastasis: advances in therapy” – Molecular Cancer (2020) – 64 citations

Top Noted Publication

1. Paediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology (PARDIE): An International, Observational Study

  • Authors: RG Khemani, L Smith, YM Lopez-Fernandez, J Kwok, R Morzov, MJ Klein, et al.
  • Journal: The Lancet Respiratory Medicine
  • Volume/Issue: 7(2), Pages 115-128
  • Year: 2019
  • Citations: 327
  • DOI: 10.1016/S2213-2600(18)30344-8
  • Summary: This international observational study examines the incidence and epidemiology of pediatric acute respiratory distress syndrome (pARDS). It provides insights into global variability, risk factors, and outcomes associated with pARDS in critically ill children.

2. Acute Respiratory Distress Syndrome

  • Authors: M Diamond, HL Peniston, DK Sanghavi, S Mahapatra
  • Journal: StatPearls [Internet]
  • Year: 2024
  • Citations: 138
  • Access: Available on StatPearls database
  • Summary: This review provides an updated understanding of acute respiratory distress syndrome (ARDS), covering its pathophysiology, clinical presentation, diagnostic criteria, and therapeutic approaches. It is a valuable reference for clinicians and researchers.

3. MUC4 Mucin—A Therapeutic Target for Pancreatic Ductal Adenocarcinoma

  • Authors: SK Gautam, S Kumar, A Cannon, B Hall, R Bhatia, MW Nasser, et al.
  • Journal: Expert Opinion on Therapeutic Targets
  • Volume/Issue: 21(7), Pages 657-669
  • Year: 2017
  • Citations: 85
  • DOI: 10.1080/14728222.2017.1337772
  • Summary: This paper explores MUC4 mucin as a potential therapeutic target for pancreatic ductal adenocarcinoma (PDAC). It highlights the role of MUC4 in tumor progression, metastasis, and chemoresistance, emphasizing its potential as a novel treatment target.

4. Disruption of C1galt1 Gene Promotes Development and Metastasis of Pancreatic Adenocarcinomas in Mice

  • Authors: S Chugh, S Barkeer, S Rachagani, RK Nimmakayala, N Perumal, et al.
  • Journal: Gastroenterology
  • Volume/Issue: 155(5), Pages 1608-1624
  • Year: 2018
  • Citations: 82
  • DOI: 10.1053/j.gastro.2018.07.013
  • Summary: This study investigates the role of the C1galt1 gene in pancreatic adenocarcinoma. The authors demonstrate that its disruption accelerates tumor progression and metastasis in mouse models, suggesting its potential as a biomarker or therapeutic target.

5. microRNAs Orchestrate Pathophysiology of Breast Cancer Brain Metastasis: Advances in Therapy

  • Authors: RK Kanchan, JA Siddiqui, S Mahapatra, SK Batra, MW Nasser
  • Journal: Molecular Cancer
  • Volume: 19, Pages 1-16
  • Year: 2020
  • Citations: 64
  • DOI: 10.1186/s12943-020-01161-5
  • Summary: This review discusses the role of microRNAs in breast cancer brain metastases, emphasizing their involvement in tumor progression, invasion, and therapeutic resistance. The paper explores emerging miRNA-based treatment strategies.

Conclusion

Dr. Sidharth Mahapatra is a highly suitable candidate for the Best Researcher Award due to his exceptional contributions to pediatric critical care and neuro-oncology. His leadership, impactful publications, and clinical-research integration make him a strong contender. Addressing the areas for improvement, such as securing larger grants and increasing first-author publications, could further elevate his candidacy.