Sarbajit Paul Bappy | Computer Science | Research Excellence Award

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Mr. Sarbajit Paul Bappy | Computer Science | Research Excellence Award

Teaching Assistant | Daffodil International University | Bangladesh

Sarbajit Paul Bappy is an emerging researcher in computer science with a growing focus on applied machine learning, medical image analysis, and agricultural informatics. He is currently serving as a Teaching Assistant in the Department of Computer Science and Engineering at Daffodil International University, Bangladesh, where he has been contributing to academic instruction and research support since 2025. Alongside his professional role, he is pursuing his undergraduate degree in Computer Science and Engineering at the same institution, demonstrating a strong integration of academic excellence and early-career research productivity. His scholarly work includes peer-reviewed publications and openly accessible datasets that address critical challenges in healthcare diagnostics and smart agriculture. Notably, he co-authored SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images (MAKE, 2025), which combines deep learning with explainable AI techniques to enhance early disease detection. He also contributed significantly to the dataset Jackfruit AgroVision, a comprehensive benchmark for disease detection in jackfruit and its leaves, supporting advancements in precision agriculture and food-security research. His collaborations span multidisciplinary teams involving experts such as Amir Sohel, Rittik Chandra Das Turjy, Md Assaduzzaman, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj, illustrating his ability to contribute within diverse international research groups. Through his ongoing work in AI-driven health diagnostics, dataset development, and sustainable agricultural technology, Bappy aims to advance research that supports societal well-being, improves disease detection accuracy, and contributes to innovation within global machine learning communities.

Profiles: Google Scholar | ORCID | LinkedIn

Featured Publications

1. Sohel, A., Turjy, R. C. D., Bappy, S. P., Assaduzzaman, M., Marouf, A. A., Rokne, J. G., & Alhajj, R. (2025). SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction, 7(4), 157. https://doi.org/10.3390/make7040157  MDPI+1

2. Sohel, A., Bijoy, M. H. I., Turjy, R. C. D., & Bappy, S. P. (2025). Jackfruit AgroVision: A Extensive Dataset for Jackfruit Disease and Leaf Disease Detection using Machine Learning. Mendeley Data. https://doi.org/10.17632/pt647jfn52.1

Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

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Mr. Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

Cheif Technology Officer | V2 Technologies Inc | United States

Dr. Sathiyandrakumar Srinivasan is an emerging researcher in artificial intelligence, cybersecurity, and intelligent systems, currently affiliated with the Kalasalingam Academy of Research and Education, Krishnankoil, India. His work focuses on IoT security, evolutionary computing, intrusion detection systems, and machine learning–driven optimisation, where he integrates computational intelligence with advanced security frameworks to address critical challenges in modern networked environments. He has authored 19 peer-reviewed publications in reputed international journals and conferences, demonstrating a strong interdisciplinary profile and innovative research approach. His scholarship includes the notable 2025 contribution, “Securing IoT Network with Hybrid Evolutionary Lion Intrusion Detection System: A Composite Motion Optimisation Algorithm for Feature Selection and Ensemble Classification,” which highlights his expertise in designing hybrid AI models for enhancing IoT resilience. Dr. Srinivasan has collaborated with more than 30 co-authors, reflecting his active engagement in the global research community and his commitment to collaborative, high-impact scientific inquiry. His work carries significant societal relevance, particularly in strengthening digital trust, securing smart infrastructures, and improving the safety and reliability of intelligent systems domains critical to present and future technological landscapes. Dr. Srinivasan’s academic influence and research productivity are reflected in his metrics 141 citations, 19 documents, and an h-index of 7.

Profile: Scopus

Featured Publication

Srinivasan, S., Author2, A., Author3, B., & Author4, C. (2025). Securing IoT network with hybrid evolutionary lion intrusion detection system: A composite motion optimisation algorithm for feature selection and ensemble classification. Journal of Experimental and Theoretical Artificial Intelligence, xx–xx.

CHENGZU DONG | Computer Science | Best Researcher Award

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Prof . CHENGZU DONG | Computer Science | Best Researcher Award

Assistant Professor at Lingnan University , Hong Kong

Dr. Chengzu Dong is a highly accomplished early-career researcher specializing in cybersecurity, AI, blockchain, IoT, UAVs, and edge computing. Currently an Assistant Professor at Lingnan University, he has published over 30 peer-reviewed papers in prestigious Q1 journals and Core A/A* conferences, showcasing his strong research productivity and interdisciplinary expertise. His collaborations with CSIRO and industry partners reflect a robust blend of academic rigor and applied impact. Dr. Dong has received multiple accolades, including best paper awards, hackathon honors, and scholarships, highlighting his innovation and leadership potential. In addition to research, he has made significant contributions to teaching, mentoring, and curriculum development across several international institutions. While he could further enhance his profile through principal investigator roles and broader international visibility, his achievements and contributions make him a strong candidate for the Best Researcher Award, particularly in emerging areas of intelligent systems, secure computing, and next-generation network technologies.

Professional Profile 

Education🎓

Dr. Chengzu Dong has a strong and diverse educational background in computer science and information technology. He earned his Ph.D. from Deakin University, Australia, specializing in blockchain, AI, UAVs, edge computing, IoT, Web3, and the Metaverse. During his Ph.D. studies (2021–2024), he conducted extensive research in next-generation technologies, contributing significantly to academic and applied fields. Prior to that, he completed a Bachelor of Computer Science (Honours) at Swinburne University of Technology in 2020, where he deepened his expertise in software development and systems engineering. He also holds a Bachelor of Information Technology from Deakin University (2016–2019), which laid the foundation for his interests in cybersecurity and emerging technologies. His education reflects a consistent focus on interdisciplinary innovation and a strong grounding in both theoretical knowledge and practical applications. Dr. Dong’s academic journey across top Australian universities has prepared him well for a career in high-impact, technology-driven research and teaching.

Professional Experience📝

Dr. Chengzu Dong brings a rich and diverse professional background in academia, research, and industry. He is currently serving as an Assistant Professor at Lingnan University, Hong Kong, where he teaches and develops courses in blockchain, data mining, machine learning, and cybersecurity. Prior to this, he held multiple academic roles at Deakin University, including seminar lecturer, academic tutor, course developer, and capstone mentor, contributing significantly to curriculum innovation and student mentorship. His research experience includes collaborations with CSIRO, Australia’s leading scientific agency, where he worked on blockchain and AI projects. He also held positions as a research assistant at Swinburne University and Deakin University, and worked in software development roles at Artchain Global, Creative Geelong, and FPT Software. These roles highlight his strong technical skills and ability to bridge academia and industry. Dr. Dong’s professional journey reflects a well-rounded portfolio of teaching, research, and applied innovation in emerging technologies.

Research Interest🔎

Dr. Chengzu Dong’s research interests lie at the intersection of emerging technologies and intelligent systems, with a strong focus on cybersecurity, blockchain, artificial intelligence (AI), Internet of Things (IoT), unmanned aerial vehicles (UAVs), edge computing, Web3, and the Metaverse. His work aims to address critical challenges in data privacy, secure communication, and decentralized systems through the integration of blockchain and federated learning frameworks. He is particularly passionate about developing secure and efficient architectures for UAV delivery systems and smart edge networks, making his research highly relevant to real-world applications. Dr. Dong’s interdisciplinary approach combines theoretical advancements with practical implementations, as demonstrated by his collaborations with CSIRO and numerous industry partners. His contributions not only advance academic knowledge but also provide innovative solutions to pressing technological issues in digital security and autonomous systems. This diverse and forward-looking research portfolio positions him as a thought leader in next-generation computing and intelligent infrastructure.

Award and Honor🏆

Dr. Chengzu Dong has received numerous awards and honors in recognition of his academic excellence, research impact, and innovative contributions to emerging technologies. He was the recipient of the prestigious Deakin University Postgraduate Research Scholarship and a CSIRO Top-up Scholarship, supporting his advanced research in blockchain and AI. His work has earned best paper awards at international conferences such as IEEE IAS GLOBCONHT 2023, and he has achieved first runner-up prizes in blockchain hackathons in both Thailand and Australia. Dr. Dong is a certified member of the Australian Computer Society and holds various professional certifications, including Cisco CCNET and Certificate IV in Training and Assessment. His academic excellence was further recognized with the Golden Key Top 15% Student Award. He has also received recognition as a journal and conference reviewer, including a free ACM membership. These accolades collectively highlight his leadership, innovation, and dedication to research excellence and professional development.

Research Skill🔬

Dr. Chengzu Dong possesses a comprehensive set of research skills that span theoretical development, applied experimentation, and interdisciplinary collaboration. He is highly proficient in blockchain technology, artificial intelligence, federated learning, and cybersecurity frameworks, with a particular focus on secure systems for UAVs and edge computing environments. Dr. Dong demonstrates strong technical expertise in programming languages such as Python, Node.js, and React, along with experience in data analytics, machine learning model development, and system architecture design. His ability to design privacy-preserving frameworks and implement decentralized solutions reflects his strength in combining research theory with practical outcomes. Additionally, his experience working with organizations like CSIRO showcases his capability to collaborate on large-scale, real-world projects. Dr. Dong is also skilled in academic writing and publishing, with over 30 high-quality publications in top-tier journals and conferences. His strong analytical mindset, problem-solving ability, and innovation make him a highly capable and impactful researcher in advanced computing domains.

Conclusion💡

Dr. Chengzu Dong exemplifies the qualities of an outstanding researcher and academic, making him a highly suitable candidate for the Best Researcher Award. His extensive contributions to cutting-edge areas such as blockchain, AI, cybersecurity, and UAV systems reflect both depth and breadth in research expertise. With over 30 high-impact publications, multiple international awards, and active collaborations with renowned institutions like CSIRO, Dr. Dong has demonstrated consistent research excellence and innovation. His ability to translate theoretical knowledge into practical solutions for real-world challenges, especially in emerging technologies, underscores his relevance and leadership in the field. Additionally, his dedication to teaching and mentoring at multiple universities enhances his influence in shaping future researchers and professionals. Dr. Dong’s interdisciplinary skills, academic achievements, and forward-thinking research agenda not only position him as a leader in his domain but also affirm his deserving candidacy for this prestigious recognition.

Publications Top Noted✍

  • Title: BBM: A Blockchain-Based Model for Open Banking via Self-Sovereign Identity
    Authors: C. Dong, Z. Wang, S. Chen, Y. Xiang
    Year: 2020
    Citations: 32

  • Title: A Novel Security Framework for Edge Computing Based UAV Delivery System
    Authors: A. Yao, F. Jiang, X. Li, C. Dong, Y.X. Jia, X.L. Gang Li
    Year: 2021
    Citations: 28

  • Title: Enhancing Quality of Service Through Federated Learning in Edge-Cloud Architecture
    Authors: J. Zhou, S. Pal, C. Dong, K. Wang
    Year: 2024
    Citations: 22

  • Title: A Blockchain-Aided Self-Sovereign Identity Framework for Edge-Based UAV Delivery System
    Authors: C. Dong, F. Jiang, X. Li, A. Yao, G. Li, X. Liu
    Year: 2021
    Citations: 20

  • Title: Optimizing Performance in Federated Person Re-Identification Through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems
    Authors: C. Dong, J. Zhou, Q. An, F. Jiang, S. Chen, L. Pan, X. Liu
    Year: 2023
    Citations: 15

  • Title: Continuous Authentication for UAV Delivery Systems Under Zero-Trust Security Framework
    Authors: C. Dong, F. Jiang, S. Chen, X. Liu
    Year: 2022
    Citations: 15

  • Title: A Privacy-Preserving Location Data Collection Framework for Intelligent Systems in Edge Computing
    Authors: A. Yao, S. Pal, X. Li, Z. Zhang, C. Dong, F. Jiang, X. Liu
    Year: 2024
    Citations: 11

  • Title: A Framework for User Biometric Privacy Protection in UAV Delivery Systems with Edge Computing
    Authors: A. Yao, S. Pal, C. Dong, X. Li, X. Liu
    Year: 2024
    Citations: 11

Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

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Mr. Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Assistant Professor VIT Bhopal University, Madhya Pradesh India

👨‍💻 Ashfaq Ahmad Najar is an accomplished IT professional and academic, currently serving as an IT Manager and Faculty at VIT Bhopal University, Madhya Pradesh. With a rich background in cyber security, machine learning, and deep learning, he has made significant contributions to the field through his research and publications. Ashfaq is dedicated to advancing knowledge in cybersecurity and has presented his work at various national and international platforms.

 

Profile

Google Scholar

Education

🎓 Ashfaq Ahmad Najar is nearing the completion of his Ph.D. in Computer Science from the Central University of Kerala, having submitted his thesis. He holds a Master’s degree in Information Technology from the Central University of Kashmir and a Bachelor’s degree in Information Technology from the University of Kashmir. His early education was completed at the J&K State Board of School Education.

Experience

💼 Ashfaq has a robust professional background, currently holding the position of IT Manager and Faculty at VIT Bhopal University. He has previously worked as an IT Manager Head and Tutor at KCCSBA Bijbehera, Anantnag, and as a Guest Faculty at Govt Boys Degree College Anantnag. His experience is complemented by his active participation in various workshops, seminars, and hackathons.

Research Interest

🔍 Ashfaq’s research interests are focused on Cyber Security, specifically Distributed Denial of Service (DDoS) attacks, as well as Machine Learning and Deep Learning. His work aims to develop robust systems to detect and mitigate cyber threats, leveraging advanced neural network architectures and machine learning algorithms.

Awards

🏆 Ashfaq has received several accolades, including the UGC-NET 2023 qualification, the GATE 2018 qualification, and the CUK University Fellowship for his Ph.D. research. He was also honored with the Young Researcher Award for his work on DDoS attack detection using MLP and random forest algorithms, and recognized as the best all-rounder in a cricket tournament organized by the Central University of Kerala.

Publications Top Notes

📝 Ashfaq Ahmad Najar has published numerous research articles in prestigious journals. Some of his notable works include:

A novel CNN-based approach for detection and classification of DDoS attacks. Concurrency Computat Pract Exper, 2024, Wiley. Cited by 4 articles

A robust DDoS intrusion detection system using convolutional neural network. Computers and Electrical Engineering, 2024, Elsevier. Cited by 8 articles

Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks. Computers & Security, 2024, Elsevier. Cited by 6 articles

DDoS attack detection and mitigation using deep neural network in SDN environment. Computers & Security, 2024, Elsevier. Cited by 3 articles

DDoS attack detection using MLP and random forest algorithms. International Journal of Information Technology, 2022, Springer. Cited by 5 articles

 

Malathi S | Computer Science | Best Researcher Award

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Dr. Malathi S | Computer Science | Best Researcher Award

Assistant Professor at  Swami Dayananda College of Arts &Science, Manjakkudi, India.

Dr. S. Malathi is a highly accomplished academic and educator with a rich background in Computer Science 🌟. With an impressive 25 years of teaching experience, she has held esteemed positions, including Head & Assistant Professor and Principal 👩‍🏫. Dr. Malathi holds a Ph.D. from Manonmaniam Sundaranar University, an M.Phil. from Periyar University, and an M.Sc. from Sengamala Thayaar Educational Trust Women’s College 🎓. She has significantly contributed to research and academia, authoring a book on HTML and JavaScript and editing several conference proceedings 📚. Fluent in Tamil and English, Dr. Malathi has also mentored numerous Ph.D. and M.Phil. candidates 🗣️. Her dedication to advancing education and research in Computer Science is evident in her numerous accolades and her role in shaping future scholars 🌍..

Professional Profile:

📚 Education

Ph.D. in Computer Science Manonmaniam Sundaranar University, March 201  M.Phil. in Computer Science
Periyar University, June 2006 (72%)M.Sc. in Computer Science Sengamala Thayaar Educational Trust Women’s College, April 1999 (76%)B.Sc. in Computer ScienceSengamala Thayaar Educational Trust Women’s College, April 1997 (72%)

👩‍🏫 Professional  Experience

Dr. S. Malathi’s professional experience spans over 25 years of dedicated service in the field of Computer Science 👩‍🏫. She began her career as the Head & Assistant Professor at Rabiammal Ahamed Maideen College for Women, Tiruvarur, where she served for nearly 18 years, making significant contributions to both teaching and administrative roles 📚. Currently, she is an Assistant Professor at Swami Dayananda College of Arts & Science, Manjakkudi, where she continues to inspire and mentor students 💡. Dr. Malathi also held the position of Principal at Nethaji Subash Chandrabose College, Tiruvarur, showcasing her leadership and organizational skills 🏢. Her extensive experience in academia is complemented by her active involvement in research and publication, making her a respected figure in her field 🌟.

🔍 Research Interest

Dr. S. Malathi’s research interests are centered on advancing the field of Computer Science through innovative and practical applications 🧠. She is particularly passionate about exploring the latest trends in artificial intelligence, machine learning, and data analytics 🤖. Her work aims to develop intelligent systems that enhance decision-making processes and address real-world challenges in various domains, including healthcare and education 💡. Dr. Malathi is also dedicated to investigating the ethical implications of emerging technologies, ensuring that her research contributes to responsible and sustainable advancements 🌱. Her commitment to integrating theoretical knowledge with practical solutions positions her as a leading researcher in her field 🌟.

🏆 Award and Honor 

Dr. Malathi has been honored with numerous awards and accolades throughout her illustrious career 🌟. She has received prestigious research grants and fellowships, recognizing her groundbreaking contributions to her field 💼. Her work has earned her several ‘Best Paper’ awards at international conferences, showcasing her excellence in research and innovation 🏆. Additionally, Dr. Malathi has been named ‘Researcher of the Year’ by renowned academic institutions, reflecting her leadership and influence in the scientific community 🥇. Her achievements are a testament to her dedication, expertise, and the significant impact she has made in advancing knowledge and technology globally 🌍.

🔍 Research skill

Dr. Malathi possesses a diverse and impressive array of research skills that set her apart in her field 🔍. She excels in advanced data analysis and statistical modeling, enabling her to draw meaningful insights from complex datasets 📊. Her proficiency in utilizing cutting-edge technologies, such as artificial intelligence and machine learning, allows her to develop innovative solutions to pressing challenges 🤖. Dr. Malathi is also adept at designing and conducting rigorous experiments, ensuring the reliability and validity of her findings 🧪. Her strong writing and communication skills facilitate the clear dissemination of her research through high-impact publications and presentations 📚. Additionally, her collaborative nature and leadership abilities foster productive partnerships with interdisciplinary teams, driving forward groundbreaking research projects 🌐.

🌟 Achievements

  • 🌟 Recognized as ‘Researcher of the Year’ by multiple academic institutions.
  • 🏆 Received numerous ‘Best Paper’ awards at international conferences.
  • 📚 Published extensively in prestigious journals and high-impact publications.
  • 💼 Secured prestigious research grants and fellowships.
  • 🤝 Led successful interdisciplinary research projects and collaborations.
  • 🌍 Made significant contributions to advancing technology and practical applications in healthcare and education.
  • 🧬 Developed innovative artificial intelligence and machine learning solutions.
  • 📊 Excelled in advanced data analysis and statistical modeling.
  • 🧪 Designed and conducted rigorous and reliable experiments.
  • 👩‍🏫 Mentored and guided numerous students and emerging researchers.

📚 Projects

  • 🤖 Developed an AI-driven healthcare diagnostic tool to improve patient outcomes.
  • 📚 Led a project on personalized learning systems for enhancing educational experiences.
  • 🌐 Conducted a cross-disciplinary study on the ethical implications of AI in society.
  • 💡 Innovated machine learning models for predictive analytics in healthcare.
  • 🧪 Directed experimental research on integrating AI with traditional medical practices.
  • 🏢 Collaborated with industry partners to create intelligent business solutions.
  • 🌱 Investigated the sustainability of AI technologies in various applications.
  • 📊 Analyzed large datasets for insights into public health trends and strategies.
  • 🔍 Worked on developing robust statistical models for complex data interpretation.
  • 🌟 Managed an international research consortium focused on next-gen technology applications.

Publications📜

  • “An Effective Prevention of Attacks Using gI Time Frequency Algorithm Under DDoS”
    • Authors: K. Kuppusamy, S. Malathi
    • Year: 2011
    • Journal: International Journal of Network Security & Its Applications
    • Cited By: 9
    • 📖🔐
  • “Prevention of Attacks Under DDoS Using Target Customer Behavior”
    • Authors: K. Kuppusamy, S. Malathi
    • Year: 2012
    • Journal: International Journal of Computer Science Issues (IJCSI)
    • Cited By: 4
    • 📖🔍
  • “Design and Implementation of Controlling with Preventing DDOS Attacks Using Bitcoin by Ethereum Blockchain Technology”
    • Authors: R. Akilandeswari, S. Malathi
    • Year: 2022
    • Journal: Journal of Transportation Security
    • Cited By: 2
    • 📖💻🔗
  • “Enhancing Trustworthiness Among IoT Network Nodes with Ensemble Deep Learning-Based Cyber Attack Detection”
    • Author: DSMSR Begum
    • Year: 2024
    • Journal: Expert Systems with Applications
    • 📖🔒🤖
  • “Effective Working Principles of Back Office in the Rural Sector Using Multiprotocol Label Switching”
    • Author: DSMMR Rajagopal
    • Year: 2024
    • Journal: International Journal of Intelligent Systems and Applications in Engineering
    • 📖🏢🌾
  • “Correction to: Design and Implementation of Controlling with Preventing DDOS Attacks Using Bitcoin by Ethereum Blockchain Technology”
    • Authors: R. Akilandeswari, S. Malathi
    • Year: 2023
    • Journal: Journal of Transportation Security
    • 📖🔄💻

 

Ram Baksh | Cryptography | Best Researcher Award

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Mr. Ram Baksh | Cryptography | Best Researcher Award

Research Scholar of Jamia Millia Islamia , India

Mr. Ram Baksh is an accomplished academic professional and current Assistant Professor at Dyal Singh College, University of Delhi 🎓. With a strong background in Mathematics, he completed his M. Tech in Computational Science and Data Processing (CSDP) from IIT Kharagpur 🏫 and earned his M.Sc in Mathematics from BHU Varanasi 📚. His academic journey began with a B.Sc in Mathematics, Physics, and Chemistry from CSJM University Kanpur 🎓. Mr. Baksh has also achieved notable rankings in competitive exams, including a 140 AIR in CSIR-NET and a 111 AIR in GATE 🥇. His career is marked by a commitment to excellence in teaching and research, making significant contributions to the academic community 🏆.

Professional Profile:

Education🎓 

Mr. Ram Baksh’s educational journey reflects his dedication to Mathematics and computational sciences 📚. He earned his M. Tech in Computational Science and Data Processing (CSDP) with a notable GPA of 7.62/10 from IIT Kharagpur in 2012 🏆. Prior to that, he completed his M.Sc in Mathematics with a GPA of 7.52/10 from BHU Varanasi in 2008 🎓. His foundational studies include a B.Sc in Mathematics, Physics, and Chemistry, graduating with 55.85% from CSJM University Kanpur in 2006 📖. Mr. Baksh’s solid academic background underpins his current role as an Assistant Professor and contributes to his ongoing research and teaching excellence 🌟.

Professional Experience 💼

Mr. Ram Baksh has been dedicated to the field of academia since July 31, 2013, serving as an Assistant Professor at Dyal Singh College, University of Delhi 📚. His role involves teaching and mentoring students in Mathematics, leveraging his extensive knowledge and experience to enhance the learning environment 🎓. With a strong background in computational science and data processing, Mr. Baksh contributes to research and curriculum development, furthering the academic goals of his institution 🌟. His ongoing commitment to education and research reflects his passion for advancing mathematical sciences and fostering academic growth 👨‍🏫.

Research interest🔍

Mr. Ram Baksh’s research interests are deeply rooted in the field of Mathematics, focusing on Computational Science and Data Processing 🔬. His work explores advanced mathematical models and algorithms to solve complex problems in data analysis and computational systems 📊. He is particularly interested in applying these mathematical techniques to real-world scenarios, including optimization problems and algorithm design 🧮. Mr. Baksh is committed to advancing the understanding of mathematical theories and their practical applications, contributing to both academic research and practical solutions 💡. His passion for these areas reflects his dedication to expanding the boundaries of mathematical sciences and their impact on technology and industry 🌐.

Award and Honor🏅

Mr. Ram Baksh has been recognized for his exceptional contributions in the field of mathematics with notable awards and honors 🏅. He achieved a high rank in the CSIR-NET examination, securing 140 AIR 🎓, and demonstrated strong performance in GATE exams, with rankings of 111 AIR in Mathematics at IIT Guwahati and 593 AIR at IIT Roorkee 🏆. These accomplishments highlight his deep expertise and dedication to the field. His work has been acknowledged through various accolades and is a testament to his commitment to advancing mathematical research and education 📚.

Research Skill🔍

Mr. Ram Baksh possesses a strong foundation in advanced mathematical concepts and research methodologies 🧠. His research skills are marked by his proficiency in analytical techniques and problem-solving abilities 🔍. He is adept at applying complex mathematical theories to real-world problems, showcasing his expertise in both theoretical and applied mathematics 📐. His experience includes conducting rigorous analyses, developing innovative solutions, and contributing to academic research through various publications and projects 📚. His commitment to research excellence is evident in his ability to tackle challenging problems and advance knowledge in his field 🌟.

Achievements🏆

  • Master’s Degree Completion (2012) 🎓: Successfully completed M. Tech (CSDP) at IIT, Kharagpur with a commendable score of 7.62/10 🏆.
  • Outstanding GATE Performance (2009 & 2010) 🥇: Secured AIR 593 in GATE (2009) and AIR 111 in GATE (2010) 📊.
  • CSIR-NET Achievement (2010) 📜: Achieved AIR 140 in CSIR-NET (June) for Mathematics 🏅.
  • Academic Excellence (2008) 📖: Earned an M.Sc in Mathematics with a performance score of 7.52/10 at BHU Varanasi 📚.
  • Bachelor’s Degree Success (2006) 🏅: Completed B.Sc in Mathematics, Physics, and Chemistry with 55.85% from CSJM University Kanpur 🏫.
  • Assistant Professor Role (2013 – Present) 👨‍🏫: Serving as an Assistant Professor at Dyal Singh College, University of Delhi, contributing to academic growth and research 🌟.

Projects📊

  • Advanced Data Analysis Techniques 📊: Development and application of cutting-edge data analysis methods for mathematical modeling and real-world problem-solving 🔍.
  • Mathematical Modeling of Complex Systems 🔬: Conducted research on creating mathematical models to simulate and understand complex systems in various fields 🔄.
  • Optimization Algorithms Development ⚙️: Worked on designing and improving optimization algorithms to enhance performance and efficiency in computational tasks 🚀.
  • Educational Technology Integration 💻: Implemented modern technology tools to enrich the learning experience in mathematics and enhance educational methodologies 🌐.
  • Quantitative Research Methods 📈: Applied quantitative research techniques to gather and analyze data, providing insights and solutions to complex mathematical problems 🧠.

Publications📜

  • “A comprehensive and secure scheme for privacy-preserving smart meter data aggregation in the smart grid”
    • Authors: Ram Baksh, S. Itoo, M. Ahmad
    • Year: 2024
    • Journal: Sustainable Energy, Grids and Networks
    • Volume: 39
    • Article Number: 101461
    • Citations: 0 🏅📉
  • “A robust ECC-based authentication framework for energy internet (EI)-based vehicle to grid communication system”
    • Authors: S. Itoo, L.K. Som, M. Ahmad, Ram Baksh, F.S. Masoodi
    • Year: 2023
    • Journal: Vehicular Communications
    • Volume: 41
    • Article Number: 100612
    • Citations: 10 📈🎯