Sachin Kumar Verma | Computer Science | Best Researcher Award

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Mr. Sachin Kumar Verma | Computer Science | Best Researcher Award

Senior Executive and Researcher at Samsung SDS, India

Sachin Kumar Verma is a highly skilled researcher and developer with a robust educational background in Computer Science and Engineering. Holding an M.Tech from IIITDM Jabalpur and a B.Tech from NIET Gr. Noida, Verma has demonstrated a strong grasp of advanced topics such as Machine Learning and IoT. His technical proficiency spans programming languages, hardware integration, and dynamic problem-solving. šŸŒŸ

Professional profile

EducationšŸ“š

Sachin Kumar Verma has a solid educational foundation in Computer Science and Engineering. He completed his M.Tech from IIITDM Jabalpur with a CGPA of 7.7 and his B.Tech from NIET Gr. Noida with a CGPA of 7.14. This educational background provides him with a strong theoretical and practical understanding of the field, which is crucial for research excellence.

Professional ExperiencešŸ›ļø

Sachin’s experience at Samsung SDS as a Senior Executive and Software Developer Intern showcases his practical expertise in software development, specifically in ABAP, SAP S/4 HANA, and SAP Hybris Marketing. His role involved advanced programming and project work, which enhances his research and problem-solving skills. Additionally, his position as a Teaching Assistant at IIITDM Jabalpur allowed him to impart knowledge on data structures and algorithms, further enriching his research skills through teaching.

Research InterestšŸŒ

During his tenure at IIITDM Jabalpur, Verma worked on a significant research project related to mitigating DAO Insider Attacks in RPL-based IoT Networks. This work, published in the IEEE Region 10 Symposium, reflects his ability to address complex problems in IoT networks. This research demonstrates his capability to contribute to the field of computer science and engineering through practical and theoretical advancements.

Awards and HonorsšŸ†

Sachin Kumar Verma has been recognized for his contributions to the field through notable awards and achievements. He secured 1st prize at a Hackathon held at Sharda University in 2019 and played a key role in the Smart India Hackathon (SIH) 2019 as a volunteer. šŸ† His research work, particularly on mitigating DAO Insider Attacks in IoT networks, has been published in prestigious IEEE conferences, showcasing his dedication to addressing complex technological challenges. šŸ“œ

AchievementsšŸ…

His project on S-MAV (Smart Vehicle) utilized a range of technologies and tools, demonstrating his ability to apply theoretical knowledge to real-world problems. Winning 1st prize in a Hackathon and volunteering for the Smart India Hackathon further illustrate his commitment to innovation and problem-solving in technology.

Publications top notedšŸ“œ

Yiren Chen | Computer Science | Best Researcher Award

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Dr Yiren Chen | Computer Science | Best Researcher Award

research associate at Institute of Information Engineering, Chinese Academy of Sciences, China

Dr. Yiren Chen, a PhD student at the Institute of Information Engineering, Chinese Academy of Sciences, specializes in cyberspace security. He has contributed to various projects, including Internet of Vehicles security management (2022), robot simulation control (2021), and the development of a white flow filtering system (2021). Currently, he is focusing on the application of large language models in cyberspace security (2023-present). Dr. Chen has published two SCI-indexed papers, one EI-indexed conference paper, and a book. His notable work includes the paper “A Survey of Large Language Models for Cyber Threat Detection,” published in the journal Computers & Security in 2024. This paper highlights the significant advancements and key issues in network threat detection using large language models and proposes future research directions. Dr. Chen’s ongoing research and practical contributions to cybersecurity have been instrumental in developing products applied in national security projects.

Professional profile

Education and Qualifications

Dr. Yiren Chen is a PhD student at the Institute of Information Engineering, Chinese Academy of Sciences. His specialization is in Cyberspace Security, particularly in Cyberspace Security Situation Awareness. His educational background and current academic pursuits demonstrate a strong foundation in a highly relevant and specialized area.

Research Experience and Projects

Dr. Chen has participated in various significant research projects, including:

  • Internet of Vehicles security management (2022)
  • Robot simulation control and white flow filtering system development (2021)
  • Application research of large language models on cyberspace security (2023-present)

His involvement in these projects highlights his practical and theoretical contributions to the field of cybersecurity.

Publications and Academic Achievements

Dr. Chen has published two SCI-indexed papers, one EI-indexed conference paper, and authored a book. This publication record is impressive for a PhD student and indicates active and successful engagement in research. Notably, his paper titled “A Survey of Large Language Models for Cyber Threat Detection” has been published in a recognized journal, reflecting the relevance and impact of his work.

Contributions to Research and Development

Dr. Chen’s research focuses on applying large language models like GPT and BERT to cybersecurity challenges. His contributions include developing practical products for national security projects and publishing research papers that explore the application and potential of these models in cyber threat detection. His work is forward-looking and addresses key issues in the field, making significant strides in both theoretical and practical aspects of cybersecurity.

Conclusion

Considering Dr. Chen’s strong educational background, active research involvement, notable publications, and contributions to cybersecurity, he appears to be a highly deserving candidate for the “Best Researcher Award.” His work not only advances the academic field but also has practical implications for national security, highlighting his comprehensive impact on the discipline.

Publications top notedšŸ“œ
  • Article
    • Topic: A survey of large language models for cyber threat detection
    • Year: 2024
    • Journal: Computers and Security šŸ–„ļøšŸ”’
  • Conference Paper
    • Topic: Towards the Digital Twin Model of Li-Ion Batteries: State-of-Health (SoH) Prediction
    • Year: 2023
    • Journal: Lecture Notes in Electrical Engineering šŸ”‹šŸ“˜
  • Conference Paper (Open Access)
    • Topic: The Scheme for SOC Estimation of Lithium-ion Batteries based on EQ-OCV-Ah-EKF
    • Year: 2023
    • Journal: Journal of Physics: Conference Series šŸ”‹šŸ“š

Ritika Ladha | Computer Science | Best Researcher Award

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Assist Prof Dr. Ritika Ladha | Computer Science | Best Researcher Award

Associate Professor of Adani University, India

Dr. Ritika Vivek Ladha is an esteemed academic and researcher currently serving as an Assistant Professor in the Department of Information and Communication Technology at Adani University. She completed her Ph.D. in Information and Communication Technology from Nirma University in 2022, following a Masterā€™s in Information and Network Security and a Bachelor’s in Computer Science and Engineering.

Professional profile

EducationšŸ“š

Dr. Ritika Vivek Ladha earned her Ph.D. in Information and Communication Technology from Nirma University in 2022. She completed her M.Tech. in Information and Network Security at Nirma University in 2015, with a CGPA of 8.42. Her undergraduate studies were conducted at A.D Patel Institute of Technology, where she obtained a B.E. in Computer Science and Engineering in 2013, achieving a CPI of 8.14.

Professional ExperiencešŸ›ļø

Dr. Ladha’s dedication to her field is further evidenced by her various professional recognitions and roles. She has received certifications in Cyber Security from IBM and is a member of the ACM. Her role as the Membership Chair for the Adani ACM-W Student Chapter and her involvement in conferences and professional organizations underscore her active engagement with the academic and research community.

Research InterestšŸŒ

Dr. Ladha’s research interests span several cutting-edge areas, including deep learning, machine learning, recommender systems, network security, intrusion detection systems, and the Internet of Things (IoT). Her work has significantly contributed to advancing these fields, addressing key issues such as cybersecurity threats, feature selection, and machine learning-based intrusion detection.

Her contributions are well-documented through her publications in prestigious journals and conferences. Notable papers include reviews on phishing attack risk assessment and advancements in intrusion detection systems. Dr. Ladha’s work has garnered substantial recognition, with a Google Scholar citation count of 1,229, an h-index of 11, and an i10-index of 11, reflecting the impactful nature of her research.

Awards and HonorsšŸ†

Dr. Ladha has received notable recognitions such as ACM Professional Membership, certification in Cyber Security from IBM, and participation in significant conferences. These achievements highlight her commitment to staying at the forefront of her field and her active engagement with professional communities.

AchievementsšŸ…

Dr. Ladha’s achievements include earning a Certificate in Developing Enterprise Applications from NIIT in 2012 and becoming a Red Hat Certified System Administrator in 2018. In 2020, she was recognized for having articles in the 25 most downloaded papers of the Swarm and Evolutionary Journal. She is a member of ACM (2023) and has been endorsed by IBM with a Skill Build Course on Cyber Security Fundamentals and Artificial Intelligence in 2024. Additionally, she has been actively involved in academic and professional communities, including serving as the Membership Chair of the Adani ACM-W Student Chapter in 2023.

Publications top notedšŸ“œ
  • “A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges”
    Authors: A. Thakkar, R. Lohiya
    Journal: Archives of Computational Methods in Engineering
    Year: 2021
    Citations: šŸ“š 259
  • “A Review of the Advancement in Intrusion Detection Datasets”
    Authors: A. Thakkar, R. Lohiya
    Journal: Procedia Computer Science
    Year: 2020
    Citations: šŸ“š 228
  • “A Survey on Intrusion Detection System: Feature Selection, Model, Performance Measures, Application Perspective, Challenges, and Future Research Directions”
    Authors: A. Thakkar, R. Lohiya
    Journal: Artificial Intelligence Review
    Year: 2022
    Citations: šŸ“š 185
  • “Attack Classification Using Feature Selection Techniques: A Comparative Study”
    Authors: A. Thakkar, R. Lohiya
    Journal: Journal of Ambient Intelligence and Humanized Computing
    Year: 2021
    Citations: šŸ“š 128
  • “Fusion of Statistical Importance for Feature Selection in Deep Neural Network-Based Intrusion Detection System”
    Authors: A. Thakkar, R. Lohiya
    Journal: Information Fusion
    Year: 2023
    Citations: šŸ“š 114
  • “Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review”
    Authors: R. Lohiya, A. Thakkar
    Journal: IEEE Internet of Things Journal
    Year: 2020
    Citations: šŸ“š 84
  • “Role of Swarm and Evolutionary Algorithms for Intrusion Detection System: A Survey”
    Authors: A. Thakkar, R. Lohiya
    Journal: Swarm and Evolutionary Computation
    Year: 2020
    Citations: šŸ“š 81
  • “Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network”
    Authors: A. Thakkar, R. Lohiya
    Journal: IEEE Internet of Things Journal
    Year: 2023
    Citations: šŸ“š 54
  • “Intrusion Detection Using Deep Neural Network with Anti-Rectifier Layer”
    Authors: R. Lohiya, A. Thakkar
    Journal: Applied Soft Computing and Communication Networks: Proceedings of ACN 2020
    Year: 2021
    Citations: šŸ“š 36
  • “Analyzing Fusion of Regularization Techniques in the Deep Learning-Based Intrusion Detection System”
    Authors: A. Thakkar, R. Lohiya
    Journal: International Journal of Intelligent Systems
    Year: 2021
    Citations: šŸ“š 28
  • “Survey on Mobile Forensics”
    Authors: R. Lohiya, P. John, P. Shah
    Journal: International Journal of Computer Applications
    Year: 2015
    Citations: šŸ“š 28
  • “A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System”
    Authors: A. Thakkar, R. Lohiya
    Journal: Archives of Computational Methods in Engineering
    Year: 2023
    Citations: šŸ“š 10

Rahul Chaurasia | Computer Science | Best Researcher Award

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Dr. Rahul Chaurasia | Computer Science | Best Researcher Award

Postdoc ResearcherĀ of IIT Indore , India

Rahul Chaurasia, Ph.D., is a distinguished post-doctoral researcher in the Department of Computer Science & Engineering at the Indian Institute of Technology Indore. With a Ph.D. in Computer Science & Engineering from IIT Indore, his research expertise lies in hardware security, hardware co-processor designs for machine learning applications, hardware acceleration, intellectual property protection (IPP), and computer architecture. His doctoral thesis, focused on IP core protection and detective control of data-intensive IPs against piracy, addresses crucial challenges in modern integrated circuit design, particularly safeguarding against IP piracy, fraudulent ownership claims, and reverse engineering.

Professional profile

EducationšŸ“š

Rahul Chaurasia holds a Ph.D. in Computer Science & Engineering from the Indian Institute of Technology Indore, which is renowned for its rigorous academic standards. His thesis, focused on IP core protection and control against data-intensive IP piracy, demonstrates his deep expertise in a crucial area of hardware security. Additionally, his strong academic performance, reflected in his CGPA during both his M.Tech. and B.E. studies, further underscores his solid educational foundation.

Professional ExperiencešŸ›ļø

Chaurasiaā€™s role as a Post-Doc Researcher with the Translational Research Fellowship at IIT Indore, combined with his experience as a teaching assistant, reflects his commitment to both research and education. His involvement in various conferences, as well as his service as a reviewer for prominent journals, indicates a high level of professional engagement and peer recognition.

Research InterestšŸŒ

Chaurasia’s research in hardware security, particularly his development of solutions using biometrics and obfuscation, addresses significant challenges in intellectual property protection. His work on secure hardware designs for machine learning and multimedia applications has made noteworthy contributions to the field. The emphasis on practical and innovative solutions, such as hardware security approaches with minimal overhead, positions his research as highly relevant and impactful.

Awards and HonorsšŸ†

Chaurasiaā€™s role as a Post-Doc Researcher with the Translational Research Fellowship at IIT Indore, combined with his experience as a teaching assistant, reflects his commitment to both research and education. His involvement in various conferences, as well as his service as a reviewer for prominent journals, indicates a high level of professional engagement and peer recognition.

AchievementsšŸ…

Rahul Chaurasia has made significant contributions to the field of hardware security, as evidenced by his multiple publications in high-impact journals such as IEEE Transactions on Consumer Electronics. His research has been recognized with several prestigious awards, including the Young Scientist Award in Computer Science Engineering and Information Technology from the M.P. Council of Science and Technology and the First Prize-Best Paper Award at the IEEE-iSES 2022 symposium. He has also been awarded the Translational Research Fellowship for his post-doctoral work at IIT Indore and has received fellowships from MHRD and AICTE during his Ph.D. and M.Tech. programs, respectively. His achievements reflect his dedication to advancing the field of computer science and his potential as a leading researcher in hardware security.

Publications top notedšŸ“œ
  • Contact-less Palmprint Biometric for Securing DSP Coprocessors used in CE systems
    šŸ‘Øā€šŸ”¬ Anirban Sengupta, Rahul Chaurasia, Tarun Reddy
    šŸ“° IEEE Transactions on Consumer Electronics 67 (3), 202-213
    šŸ“… 2021
    šŸ“‘ Citations: 15
  • Secured Convolutional Layer IP Core in Convolutional Neural Network Using Facial Biometric
    šŸ‘Øā€šŸ”¬ Anirban Sengupta, Rahul Chaurasia
    šŸ“° IEEE Transactions on Consumer Electronics 68 (3), 291-306
    šŸ“… 2022
    šŸ“‘ Citations: 11
  • Securing IP Cores for DSP Applications Using Structural Obfuscation and Chromosomal DNA Impression
    šŸ‘Øā€šŸ”¬ Anirban Sengupta, Rahul Chaurasia
    šŸ“° IEEE Access 10, 50903-50913
    šŸ“… 2022
    šŸ“‘ Citations: 9
  • Robust Security of Hardware Accelerators Using Protein Molecular Biometric Signature and Facial Biometric Encryption Key
    šŸ‘Øā€šŸ”¬ Anirban Sengupta, Rahul Chaurasia, Aditya Anshul
    šŸ“° IEEE Transactions on Very Large Scale Integration (VLSI) Systems
    šŸ“… 2023
    šŸ“‘ Citations: 6
  • Quadruple Phase Watermarking during High Level Synthesis for Securing Reusable Hardware Intellectual Property Cores
    šŸ‘Øā€šŸ”¬ Mahendra Rathor, Aditya Anshul, K Bharath, Rahul Chaurasia, Anirban Sengupta
    šŸ“° Computers and Electrical Engineering 105, 108476
    šŸ“… 2023
    šŸ“‘ Citations: 4
  • Exploring Handwritten Signature Image Features for Hardware Security
    šŸ‘Øā€šŸ”¬ Mahendra Rathor, Anirban Sengupta, Rahul Chaurasia, Aditya Anshul
    šŸ“° IEEE Transactions on Dependable and Secure Computing
    šŸ“… 2022
    šŸ“‘ Citations: 4
  • Palmprint Biometric Versus Encrypted Hash Based Digital Signature for Securing DSP Cores used in CE Systems
    šŸ‘Øā€šŸ”¬ R Chaurasia, A Anshul, A Sengupta, S Gupta
    šŸ“° IEEE Consumer Electronics Magazine 11 (5), 73-80
    šŸ“… 2022
    šŸ“‘ Citations: 4
  • Blockchain Based Pharmaceutical Supply Chain and its Challenges: A Review and Proposed Solution
    šŸ‘Øā€šŸ”¬ UK Sahu, A Jain, R Chaurasia, KK Hiran
    šŸ“° 2023 IEEE International Conference on ICT in Business Industry & Government
    šŸ“… 2023
    šŸ“‘ Citations: 3
  • Retinal Biometric for Securing JPEG Codec Hardware IP Core for CE Systems
    šŸ‘Øā€šŸ”¬ Rahul Chaurasia, Anirban Sengupta
    šŸ“° IEEE Transactions on Consumer Electronics
    šŸ“… 2023
    šŸ“‘ Citations: 3
  • Symmetrical Protection of Ownership Rights for IP Buyer and IP Vendor using Facial Biometric Pairing
    šŸ‘Øā€šŸ”¬ Rahul Chaurasia, Anirban Sengupta
    šŸ“° 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 272-277
    šŸ“… 2022
    šŸ“‘ Citations: 3
  • Security Vs Design Cost of Signature Driven Security Methodologies for Reusable Hardware IP Core
    šŸ‘Øā€šŸ”¬ Rahul Chaurasia, Anirban Sengupta
    šŸ“° 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 283-288
    šŸ“… 2022
    šŸ“‘ Citations: 1

Taher Al-Shehari | Computer Science | Best Researcher Award

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Dr. Taher Al-Shehari | Computer Science | Best Researcher Award

Senior Lecturer and Researcher of King Saud University, Saudi Arabia

Taher Ali Al-Shehari is a dedicated cybersecurity professional and educator with a robust background in computer science. Holding a Bachelorā€™s degree from King Khalid University and a Masterā€™s degree from King Fahd University of Petroleum and Minerals, Taher has demonstrated exceptional academic performance and a commitment to the field. His career spans various roles, from technical support and research assistant to full-time lecturer and researcher at King Saud University. His objective is to advance cybersecurity research and education through innovative practices, contributing significantly to his institution and the broader academic community.

Professional profile

EducationšŸ“š

Taher’s educational background is exemplary. He graduated with honors from King Khalid University with a Bachelor in Computer Science, boasting an impressive GPA of 4.7/5. He continued to excel academically, earning a Master’s in Computer Science from King Fahd University of Petroleum and Minerals with a GPA of 3.348/4. His strong educational foundation in computer science positions him as a knowledgeable and capable researcher in his field.

Professional ExperiencešŸ›ļø

Taher’s extensive professional experience underscores his capability and versatility. He has held various roles, from technical support and customer services to research assistant and data analyst, and now serves as a full-time lecturer and researcher at King Saud University. His responsibilities have included teaching numerous technical courses, conducting specialized training programs, and participating in curriculum development. His involvement in a research group at the Deanship of Scientific Research further solidifies his research credentials.

Research InterestšŸŒ

Taher has contributed significantly to the field of cybersecurity through various research projects and publications. His research interests include text plagiarism detection, code similarity detection, geographic information systems, and information security. He has published several impactful papers, often serving as the corresponding author, indicating his leading role in these studies

Awards and HonorsšŸ†

Taher’s achievements have been recognized through numerous awards and honors. These include appreciation certificates from various institutions for his contributions to data analysis, academic progression, question bank development, and technical course offerings. Notably, he won an award for designing the best Information Security technical syllabus, showcasing his expertise and innovative approach in the field of cybersecurity education.

AchievementsšŸ…

Taher Ali Al-Shehari’s achievements reflect his expertise and dedication in cybersecurity. He has received numerous accolades, including appreciation certificates for his contributions to data analysis, academic progression, and curriculum development. Notably, he won an award for designing the best Information Security technical syllabus at King Saud University. His research contributions are significant, with publications in reputable journals and conferences on topics such as operating system fingerprinting, insider threat detection, and web browser security. His work has been widely recognized, underscoring his impact and leadership in the field. šŸ“ššŸ”šŸ†

Publications top notedšŸ“œ
  • “An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques”
    Year: 2021
    Journal: Entropy
    Citations: 117 šŸ“Š
  • “A Multi-Tiered Framework for Insider Threat Prevention”
    Year: 2021
    Journal: Electronics
    Citations: 36 šŸ›”ļø
  • “Empirical Detection Techniques of Insider Threat Incidents”
    Year: 2020
    Journal: IEEE Access
    Citations: 35 šŸ”
  • “Improving Operating System Fingerprinting Using Machine Learning Techniques”
    Year: 2014
    Journal: International Journal of Computer Theory and Engineering
    Citations: 29 šŸ’»
  • “Techniques and Countermeasures for Preventing Insider Threats”
    Year: 2022
    Journal: PeerJ Computer Science
    Citations: 16 šŸš«
  • “An Empirical Study of Web Browsersā€™ Resistance to Traffic Analysis and Website Fingerprinting Attacks”
    Year: 2018
    Journal: Cluster Computing Journal
    Citations: 14 šŸŒ
  • “SCBC: Smart City Monitoring with Blockchain Using Internet of Things for and Neuro Fuzzy Procedures”
    Year: 2023
    Journal: Mathematical Biosciences and Engineering
    Citations: 12 šŸ™ļø
  • “Wireless Video Streaming Over Data Distribution Service Middleware”
    Year: 2012
    Conference: IEEE International Conference on Computer Science and Automation Engineering
    Citations: 9 šŸ“ŗ
  • “Random Resampling Algorithms for Addressing the Imbalanced Dataset Classes in Insider Threat Detection”
    Year: 2023
    Journal: International Journal of Information Security
    Citations: 6 šŸ“‰
  • “Insider Threat Detection Model Using Anomaly-Based Isolation Forest Algorithm”
    Year: 2023
    Journal: IEEE Access
    Citations: 4 šŸŒ²
  • “Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm”
    Year: 2024
    Journal: IEEE Access
    Citations: 1 šŸ§©
  • “Insider Threat Detection in Cyber-Physical Systems: A Systematic Literature Review”
    Year: 2024
    Journal: Computers and Electrical Engineering
    Citations: ā€” šŸ“š
  • “TumorGANet: A Transfer Learning and Generative Adversarial Network-Based Data Augmentation Model for Brain Tumor Classification”
    Year: 2024
    Journal: IEEE Access
    Citations: ā€” šŸ§ 
  • “S2DN: Design of Robust Authentication Protocol with Session Key Establishment in Multi-Controller Based Software-Defined VANETs”
    Year: 2024
    Journal: Vehicular Communications
    Citations: ā€” šŸš—
  • “Mining the Opinions of Software Developers for Improved Project Insights: Harnessing the Power of Transfer Learning”
    Year: 2024
    Journal: IEEE Access
    Citations: ā€” šŸ”„

Padmini MS | Computer Science | Best Researcher Award

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Mrs. Padmini MS | Computer Science | Best Researcher Award

Associate Professor of The National Institute of Engineering, India

Padmini M.S. is an accomplished Assistant Professor in the Department of Computer Science and Engineering at The National Institute of Engineering, Mysore, with over 13 years of experience in teaching and research šŸ“š. She is currently pursuing her Ph.D. part-time at VTU, showcasing her dedication to continuous learning and professional growth šŸŽ“. Padmini holds an M.Tech. in Computer Networks and a B.E. in Computer Science, reflecting her strong academic foundation šŸ–„ļø. Her research interests span IoT, energy efficiency, and smart environments, with numerous publications in reputable journals and international conferences šŸŒ. Padmini is known for her excellent communication skills, problem-solving ability, and adaptability to the latest technologies, making her a valuable team player and passionate educator šŸ‘©ā€šŸ«.

Professional profile

EducationšŸ“š

Padmini M.S. is currently pursuing a Ph.D. part-time at VTU, with plans to take her comprehensive viva shortly. She holds an M.Tech. in Computer Networks from The National Institute of Engineering, Mysore, with a score of 78.5%, and a B.E. in Computer Science from Coorg Institute of Technology, with a score of 72.5%.

Professional ExperiencešŸ›ļø

She has over 13 years of experience as an Assistant Professor in the Department of Computer Science and Engineering at The National Institute of Engineering, Mysore. Previously, she worked as a Software Engineer at Mach India Private LTD, Bangalore, for one year.

Research InterestšŸŒ

Padmini M.S.’s research covers a wide range of topics, including IoT, energy efficiency, smart environments, and autonomous systems. Her work on “Energy Efficient Smart Street Lighting System” and “Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices” demonstrates her focus on practical applications and sustainability.

Awards and HonorsšŸ†

Padmini M.S. has been recognized for her significant contributions to the field of Computer Science and Engineering through various awards and honors šŸ…. She has received accolades for her innovative research on IoT, energy efficiency, and smart environments, showcased through her numerous publications in esteemed journals and presentations at international conferences šŸ“š. Her work has not only advanced academic knowledge but also demonstrated practical applications, earning her respect and recognition in the academic community šŸŒŸ. Padmini’s dedication to teaching and research excellence is evident in her commitment to continuous learning and her role as a valued mentor and educator šŸ‘©ā€šŸ«.

AchievementsšŸ…
  • šŸ… Over 13 years of experience as an Assistant Professor in Computer Science and Engineering at The National Institute of Engineering, Mysore.
  • šŸ“š Published numerous papers in reputable journals and presented at international conferences.
  • šŸŽ“ Currently pursuing a Ph.D. part-time at VTU, with a strong academic background including an M.Tech. in Computer Networks and a B.E. in Computer Science.
  • šŸŒ Conducted significant research in IoT, energy efficiency, and smart environments.
  • šŸ–„ļø Authored impactful papers such as “Energy Efficient Smart Street Lighting System” and “Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices”.
  • šŸ‘©ā€šŸ« Recognized for excellent communication skills, problem-solving ability, and adaptability to new technologies.
  • šŸŒŸ Highly respected in the academic community for her innovative research and practical applications.
  • šŸ“œ Demonstrated commitment to continuous learning and professional growth through her ongoing Ph.D. studies and research initiatives.
Publications top notedšŸ“œ
  • Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
    • Authors: Padmini, M.S., Kuzhalvaimozhi, S.
    • Year: 2023
    • Journal: SN Computer Science
    • Citations: 0
    • šŸ“œšŸ“†0ļøāƒ£
  • Energy aware reliable routing model for sensor network enabled internet of things environment
    • Authors: Srikantha, P.M., Kuzhalvaimozhi, S., Silli, S.M., Verma, T., Manjunatha, V.
    • Year: 2023
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science
    • Citations: 0
    • šŸŒšŸ”‹0ļøāƒ£
  • Energy Efficient Smart Street Lighting System
    • Authors: Padmini, M.S., Rajkumar, R., Prahlada, Galagali, S.S., Reddy, K.N.
    • Year: 2022
    • Conference: International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
    • Citations: 1
    • šŸ’”šŸ™ļø1ļøāƒ£
  • An Implementation of Gesture-Controlled Autonomous Drone
    • Authors: Padmini, M.S., Kuzhalivaimozhi, S., Simha, P.V., Singh, P., Abhinandan, A.
    • Year: 2022
    • Conference: Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, STCR 2022
    • Citations: 0
    • šŸššŸ¤–0ļøāƒ£

Himanshi Babbar | Networking | Best Researcher Award

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Himanshi Babbar | Networking | Best Researcher Award

Dr . HimanshiBabbar ,Chitkara University Institute of Engineering and Technology , India

Dr. Himanshi Babbar is an accomplished academic with extensive experience in the field of computer science and technology. She currently serves as an Assistant Professor, Research (CURIN) at Chitkara University, where she has been since February 2022. Her prior roles include working as a Full-time Research Scholar at Chitkara University and as an Assistant Professor at the Chandigarh Group of Colleges and Aryans Group of Colleges. Her teaching portfolio spans a range of undergraduate and postgraduate courses, including Computer Networks, Database Management Systems, Web Technologies, and Programming in various languages. Dr. Babbar’s research interests are centered around advanced networking topics such as Software Defined Networking (SDN), Internet of Things (IoT), Intrusion Detection Systems (IDS), and Deep Learning. Her work aims to enhance network efficiency, security, and integration with emerging technologies.

Publication profile

google scholar

Scopus Profile

ORCID

Education

Himanshi Babbar has an extensive and impressive educational background. She completed her Postdoctoral research at Zayed University, a public university in the UAE, from 2021 to 2022. Following this, she earned her PhD from Chitkara University, Punjab, a private university, between 2018 and 2021. Both of these prestigious qualifications were awarded upon completion. Prior to her PhD, Himanshi completed her Master of Computer Applications (MCA) at Chitkara University, Punjab, from 2012 to 2015, achieving a CGPA of 7.91. She also holds a Bachelor of Computer Applications (BCA) from Chitkara Institute of Engineering and Technology, Punjab, under Punjab Technical University, where she graduated with an impressive 83.0% between 2009 and 2012. Her earlier education includes completing Class XII at ICL Public School in Rajpura under the CBSE board in 2009, with a percentage of 72.6%. She also completed her Class X education at the same school in 2007, securing a percentage of 57.8%

Experience

Dr. Himanshi Babbar is currently serving as an Assistant Professor, Research (CURIN) at Chitkara University, Rajpura, Punjab Campus, since February 2022. Before this role, she was a Full-time Research Scholar at the same institution from November 2018 to December 2021. During her tenure as a Research Scholar, she taught several undergraduate courses, including “Computer Networks and Cisco Packet Tracer” at the 1st year level, “Database Management System” at the 2nd year level, and “Introduction to Web Technologies” also at the 2nd year level. Prior to her current position, Dr. Babbar worked as an Assistant Professor at the Chandigarh Group of Colleges, Landran (Mohali) from June 2016 to November 2017. Here, she taught courses such as “Digital Circuit and Logic Design”, “Software Engineering”, “System Analysis and Design (SAD)”, and “Oracle” at the 2nd year undergraduate level. Additionally, she supervised “Minor and Major Projects” at the 3rd year undergraduate level. She is also experienced in teaching “Workshop on Web Development” and “Java” at the 3rd year undergraduate level, as well as “Programming in C” at the 2nd year MBA (IT) level. Earlier in her career, Dr. Babbar held the position of Assistant Professor at the Aryans Group of Colleges, Chandigarh from August 2015 to November 2015. During this period, she taught “Information Technology” at the 1st year postgraduate level, “Digital Circuit and Logic Design” at the 2nd year undergraduate level, and “Programming in Java” at the 3rd year undergraduate level.

 

Research focus

Dr. Himanshi Babbar’s areas of expertise and research interests include Software Defined Networking, Internet of Things, Intrusion Detection Systems, and Deep Learning. These fields reflect her deep engagement with cutting-edge technologies and their applications, showcasing her commitment to advancing knowledge and innovation in these domains

Skills:

Dr. Himanshi Babbar possesses a strong technical skill set, including proficiency in programming languages such as C, C++, and Python. Her software skills include experience with development environments and tools like Eclipse, Turbo C++, Dev C++, Code-Blocks, ORACLE, NetBeans, and Mininet. She is adept at using various operating systems, including Windows 8, Windows 7, Windows XP, and Ubuntu 18.04 LTS. Additionally, Dr. Babbar is skilled in using Overleaf (LATEX) for document preparation, Origin for data analysis, and MS-Office Suite (Word, Excel, PowerPoint) for general office tasks.

Publication top notes

  • Security framework for internet-of-things-based software-defined networks using blockchain
    • Year: 2022
    • Journal: IEEE Internet of Things Journal
    • Authors: S Rani, H Babbar, G Srivastava, TR Gadekallu, G Dhiman
    • šŸ“…šŸ”’šŸŒ
  • An optimized approach of dynamic target nodes in wireless sensor network using bio inspired algorithms for maritime rescue
    • Year: 2022
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Authors: S Rani, H Babbar, P Kaur, MD Alshehri, SH Shah
    • šŸ“…šŸš¢šŸ”„
  • An efficient and lightweight deep learning model for human activity recognition using smartphones
    • Year: 2021
    • Journal: Sensors
    • Authors: Ankita, S Rani, H Babbar, S Coleman, A Singh, HM Aljahdali
    • šŸ“…šŸ“±šŸ§ 
  • Load balancing algorithm for migrating switches in software-defined vehicular networks
    • Year: 2021
    • Journal: Comput. Mater. Contin
    • Authors: H Babbar, S Rani, M Masud, S Verma, D Anand, N Jhanjhi
    • šŸ“…šŸš—šŸ”„
  • Energyā€Efficient Routing Protocol for Nextā€Generation Application in the Internet of Things and Wireless Sensor Networks
    • Year: 2022
    • Journal: Wireless Communications and Mobile Computing
    • Authors: R Dogra, S Rani, H Babbar, D Krah
    • šŸ“…šŸ”‹šŸ“”
  • Intelligent edge load migration in SDN-IIoT for smart healthcare
    • Year: 2022
    • Journal: IEEE Transactions on Industrial Informatics
    • Authors: H Babbar, S Rani, SA AlQahtani
    • šŸ“…šŸ„šŸ”„
  • A genetic load balancing algorithm to improve the QoS metrics for software defined networking for multimedia applications
    • Year: 2022
    • Journal: Multimedia Tools and Applications
    • Authors: H Babbar, S Parthiban, G Radhakrishnan, S Rani
    • šŸ“…šŸŽ„šŸ”„
  • Load balancing algorithm on the immense scale of internet of things in SDN for smart cities
    • Year: 2021
    • Journal: Sustainability
    • Authors: H Babbar, S Rani, D Gupta, HM Aljahdali, A Singh, F Al-Turjman
    • šŸ“…šŸ™ļøšŸ”„
  • Cloud based smart city services for industrial internet of things in software-defined networking
    • Year: 2021
    • Journal: Sustainability
    • Authors: H Babbar, S Rani, A Singh, M Abd-Elnaby, BJ Choi
    • šŸ“…ā˜ļøšŸ™ļø
  • Software-defined networking framework securing internet of things
    • Year: 2020
    • Journal: Integration of WSN and IoT for Smart Cities
    • Authors: H Babbar, S Rani
    • šŸ“…šŸ”’šŸ“”

Prakhar Consul | Computer Science | Best Researcher Award

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Prakhar Consul | Computer Science | Best Researcher Award

Mr Prakhar Consul, Bennett University, India

Prakhar Consul is an Assistant Professor and Ph.D. candidate at Bennett University, specializing in Internet-of-Things, Mobile Edge Computing, and Deep Reinforcement Learning. He holds an M.Tech. in Electronics and Communication from Sharda University and a B.Tech. from Shobhit University. With a robust teaching background in subjects like Microprocessors and Embedded Systems, his research focuses on computational offloading and resource allocation for UAV-assisted Mobile Edge Computing in 5G networks. Prakhar has taught at Dewan V S Institute, Neelkanth Group of Institutions, and I A M R Group of Institutions. šŸŽ“šŸ“”šŸ¤–šŸ“˜

Publication profile

google scholar

Education

Dr. Prakhar Consul is a Ph.D. candidate in Computer Science Engineering at Bennett University, India, expected to complete in Nov. 2024. Their thesis focuses on computational offloading and resource allocation in mobile edge computing using machine learning in 5G networks šŸ“”. They hold an M.Tech in Electronics and Communication from Sharda University (2015) with a thesis on microstrip patch antennas šŸ“¶. Dr. Prakhar Consul also has a B.Tech in Electronics and Communication from Shobhit University (2013) and completed their senior secondary education at J.A.S. Inter College šŸ«. Their academic journey is marked by excellence and innovation in engineering and technology šŸ’”.

Experience

Dr. Prakhar Consul served as an Assistant Professor in the Department of Electronics and Communication Engineering at Dewan V S Institute of Engineering and Technology (DVSIET), Meerut, India, from January 2020 to October 2021. Prior to this, they worked at Neelkanth Group of Institutions (NGI), Meerut, from August 2018 to January 2020 in the Department of Electronics and Electrical Engineering. From August 2015 to August 2018, they were part of the Department of Electronics and Communication Engineering at I A M R Group of Institutions, Meerut. Their extensive teaching experience highlights their dedication to education and engineering. šŸ“ššŸ”ŒšŸ‘Øā€šŸ«

Research focus

P. Consulā€™s research focuses on advancing wireless communication systems, with an emphasis on energy efficiency, security, and optimization in emerging technologies. His work includes developing innovative antenna designs, such as microstrip and U-slotted patch antennas, and enhancing energy-efficient schemes for mobile edge computing (MEC) using federated learning and reinforcement learning. He explores security in UAV-assisted systems, with solutions for secure computation and resource allocation in blockchain-assisted cyber-physical systems. His research also covers dual and triple band gap antennas and resource optimization strategies for digital twin-empowered UAV networks. šŸš€šŸ“”šŸ”

Publication top notes

Triple band gap coupled microstrip U-slotted patch antenna using L-slot DGS for wireless applications

Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV

Power allocation scheme based on DRL for CF massive MIMO network with UAV

Security reassessing in UAV-assisted cyber-physical systems based on federated learning

Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network

FLBCPS: federated learning based secured computation offloading in blockchain-assisted cyber-physical systems

A review of different vulnerabilities of security in a layered network

A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0

A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For Future Wireless Network

Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT

Srinivas Bhattiprolu | Computer Science | Best Researcher Award

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Dr. Srinivas Bhattiprolu | Computer Science | Best Researcher Award

Associate Professor of Aditya College of Engineering and Technology, India

Dr. Srinivas Bhattiprolu is an esteemed educator and researcher in the field of computer science, specializing in image processing. He earned his Ph.D. from JNTUK, Kakinada in November 2021, adding to his impressive academic credentials, which include an M.Tech. from RVR & JC College of Engineering and an M.Sc. from Ideal Degree College. With over 16 years of teaching experience, Dr. Bhattiprolu has held positions at various prestigious institutions such as Aditya College of Engineering & Technology, Swami Vivekananda Institute of Technology, and Pragati Engineering College. His dedication to education is evident through his consistent academic achievements and contributions to the field of computer science. Dr. Bhattiprolu is committed to advancing knowledge and nurturing the next generation of technology professionals. šŸ“–šŸŽ“šŸ‘Øā€šŸ«

Professional profile

EducationšŸ“š

Dr. Srinivas Bhattiprolu has an impressive academic background in computer science. He earned his Ph.D. in Computer Science from JNTUK, Kakinada, specializing in image processing, in November 2021. Prior to this, he completed his M.Tech. in Computer Science and Engineering from RVR & JC College of Engineering, affiliated with Acharya Nagarjuna University, in 2007, securing a distinction with 73.2%. Dr. Bhattiprolu also holds an M.Sc. in Computer Science from Ideal Degree College, affiliated with Andhra University, which he completed in 2004 with a first-class score of 65.1%. His academic journey began with a B.Sc. in Mathematics, Electronics, and Computer Science from RIMS Degree College, affiliated with Andhra University, where he graduated in 2001 with a first-class score of 62.5%. He completed his 12th grade from the Board of Intermediate Education in 1998 with a first-class score of 71.1%, and his 10th grade from the Board of Secondary Education in 1996 with a first-class score of 79.7%. šŸ“œšŸ‘Øā€šŸŽ“

Professional ExperiencešŸ›ļø

Dr. Srinivas Bhattiprolu has amassed 16 years of extensive teaching experience in computer science. Currently, he serves as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, a position he has held since December 2020. Previously, he was an Assistant Professor at Swami Vivekananda Institute of Technology, Secunderabad from July 2018 to December 2019, where he was ratified by JNT University, Hyderabad in 2019. From July 2017 to June 2018, Dr. Bhattiprolu taught at Nishitha College of Engineering and Technology, Hyderabad, and was ratified by JNT University, Hyderabad in 2018. His tenure at Pragati Engineering College, Surampalem, spanned from June 2010 to July 2017, during which he progressed from Assistant to Associate Professor and was ratified by JNT University, Kakinada in 2010. Earlier in his career, from November 2007 to May 2010, he served as an Assistant Professor at Sreenidhi Institute of Science and Technology, Hyderabad, receiving ratification from JNT University, Hyderabad in 2009. Dr. Bhattiprolu’s commitment to education and his contributions to the academic community are truly commendable. šŸŽ“šŸ…šŸ“˜

Research InterestšŸŒ

Dr. Srinivas Bhattiprolu’s research interests are deeply rooted in the field of computer science, with a particular focus on image processing. His work explores advanced techniques in image analysis, enhancement, and recognition, aiming to develop innovative solutions for real-world applications. Dr. Bhattiprolu is passionate about leveraging machine learning and artificial intelligence to enhance image processing methodologies, striving to push the boundaries of what is possible in digital imaging. His research also delves into the integration of computer vision with other emerging technologies to address complex challenges in various domains. Through his dedication and expertise, Dr. Bhattiprolu contributes significantly to the advancement of knowledge and technology in the realm of image processing. šŸ“·šŸ¤–šŸ“ˆ

Awards and HonorsšŸ†

Dr. Srinivas Bhattiprolu has received numerous accolades throughout his distinguished career. His exceptional contributions to the field of computer science and education have earned him recognition and respect from both academic and professional communities. Notably, he was ratified as an Assistant Professor by JNT University, Hyderabad in 2009, 2018, and 2019, and by JNT University, Kakinada in 2010, highlighting his consistent excellence in teaching and research. These ratifications are a testament to his expertise, dedication, and significant impact on the academic institutions he has been a part of. Dr. Bhattiprolu’s commitment to advancing the field of computer science continues to be acknowledged through these prestigious honors. šŸŒŸšŸ“œšŸ‘

Research skillšŸ”¬

Dr. Srinivas Bhattiprolu possesses a robust set of research skills that underpin his contributions to the field of computer science. His expertise in image processing is complemented by a deep understanding of machine learning and artificial intelligence, enabling him to develop advanced algorithms for image analysis and recognition. Dr. Bhattiprolu is proficient in various programming languages and software tools essential for conducting high-level research. His analytical skills and attention to detail ensure the accuracy and reliability of his findings. Additionally, he excels in data interpretation and the practical application of theoretical concepts, which significantly enhances the relevance and impact of his research. Dr. Bhattiprolu’s ability to integrate interdisciplinary approaches further strengthens his research capabilities, making him a versatile and innovative scholar. šŸ”§šŸ“ŠšŸ¤–

AchievementsšŸ…
  • šŸŽ“ Successfully earned a Ph.D. in Computer Science with a specialization in Image Processing from JNTUK, Kakinada, in Nov-2021.
  • šŸ… Secured M.Tech. (Computer Science and Engineering) with 73.2% Distinction from RVR & JC College of Engineering, Acharya Nagarjuna University, in 2007.
  • šŸ“œ Completed M.Sc. in Computer Science with 65.1% First Class from Ideal Degree College, Andhra University, in 2004.
  • šŸ‘Øā€šŸ« Accumulated 16 years of teaching experience across multiple prestigious institutions.
  • šŸ† Ratified as an Assistant Professor by JNT University, Hyderabad in 2009, 2018, and 2019, and by JNT University, Kakinada in 2010.
  • šŸ” Developed advanced image processing algorithms integrating machine learning and AI techniques.
  • šŸ“š Contributed significantly to the academic community through innovative research and publications.
  • šŸ’¼ Currently serving as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, since Dec-2020.
  • šŸŒŸ Recognized for excellence in both teaching and research within the computer science field.
ProjectsšŸ› ļø
  • šŸ“· Advanced Image Processing Techniques: Developed algorithms for enhanced image analysis and recognition, integrating machine learning and AI methodologies.
  • šŸ§  AI-Driven Medical Imaging Solutions: Created innovative solutions for medical imaging to improve diagnostic accuracy using AI and computer vision.
  • šŸ¤– Machine Learning in Pattern Recognition: Led a project focused on applying machine learning techniques for advanced pattern recognition in various applications.
  • šŸŒ Environmental Monitoring Systems: Developed systems for real-time environmental monitoring using image processing and remote sensing technologies.
  • šŸš— Autonomous Vehicle Navigation: Contributed to the development of navigation systems for autonomous vehicles, leveraging computer vision and sensor fusion.
  • šŸ” Security Surveillance Enhancement: Implemented advanced image processing techniques to enhance the capabilities of security surveillance systems.
  • šŸ“Š Big Data Analysis for Image Processing: Worked on projects involving the analysis and processing of large datasets to improve image processing algorithms.
  • šŸ”§ Software Tools for Image Analysis: Developed user-friendly software tools to facilitate the analysis and manipulation of digital images for various applications.
  • šŸŒŸ Interdisciplinary Research Projects: Engaged in interdisciplinary projects combining computer science with other fields to address complex research challenges.
  • šŸ’” Innovation in Educational Technology: Created educational tools and platforms utilizing image processing to enhance learning experiences in computer science education.
Publications top notedšŸ“œ
  • Accelerating Autonomous Vehicle Safety through Real-Time Immersive Virtual Reality Gaming Simulations
    • Authors: Kiran, A., Salunkhe, S.S., Srinivas, B., Altaf Ahmed, M., Venkata Naga Ramesh, J.
    • Year: 2024
    • Citations: 0 šŸ“‰
  • A Review on Sentiment Analysis of Twitter Data for Diabetes Classification and Prediction
    • Authors: Akhila, A.M.S., Gayathri, C., Srinivas, B., Devi, B.S.K.
    • Year: 2022
    • Citations: 1 šŸ“ˆ
  • Second Order Derivative Cross Diagonal Matrix Approach for CBIR
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2020
    • Citations: 0 šŸ“‰
  • A New Framework for CBIR Using Odd and Even Tetra Texton Matrix
    • Authors: Srinivas, B., Krishna, V.V., Sumalatha, L.
    • Year: 2020
    • Citations: 2 šŸ“ˆ
  • Advanced Local Direction Cross Diagonal Matrix
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2019
    • Citations: 4 šŸ“ˆ

Shayan Naghdi Khanachah | Decision Making Method | Best Researcher Award

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šŸŒŸDr. Shayan Naghdi KhanachahĀ , Decision Making Method, Best Researcher Award šŸ†

  • Ā Doctorate at Iran University of Science and Technology, Iran

Shayan Nakidi Khanachah is a dedicated academic and researcher with a strong background in industrial engineering and project management. With a Ph.D. candidacy at Iran University of Science and Technology-Tehran, he has demonstrated exceptional academic prowess and a commitment to advancing knowledge in his field. His teaching experience, coupled with numerous awards and publications, underscores his significant contributions to both academia and industry.

Author Metrics:

Google Scholar Profile

Orcid Profile

As an author, Shayan Nakidi Khanachah’s work has garnered attention and recognition within academic circles. His publications have been cited by peers and scholars, indicating their relevance and impact in the field. With a focus on quality research and rigorous methodology, he has established himself as a respected contributor to the academic community.

  • Total Citations:
    • MR Zahedi: 152
    • SN Khanachah: 151
  • h-index:
    • MR Zahedi: 8
    • SN Khanachah: 8
  • i10-index:
    • MR Zahedi: 6
    • SN Khanachah: 6

These metrics indicate the impact and visibility of their scholarly work since 2019. The h-index represents the number of papers (h) that have at least h citations, while the i10-index represents the number of papers with at least 10 citations.

Education:

Shayan Nakidi Khanachah holds a Bachelor’s degree in Chemical Engineering from Mohaghegh Ardabili University, where he ranked third among his peers. He pursued his Master’s degree in Industrial Engineering, specializing in Project Management, at Malik Ashtar University of Technology-Tehran, achieving an outstanding GPA and thesis score. Currently, he is a Ph.D. student at Iran University of Science and Technology-Tehran, focusing on industrial engineering with an emphasis on quality and productivity.

Research Focus:

Shayan Nakidi Khanachah’s research interests lie at the intersection of industrial engineering, quality management, and productivity enhancement. He is particularly interested in exploring innovative approaches to improve manufacturing processes, optimize project management methodologies, and enhance organizational efficiency. His work emphasizes practical solutions and actionable insights to address contemporary challenges in industry.

Professional Journey:

Throughout his career, Shayan Nakidi Khanachah has undertaken various roles in academia and industry. From teaching computer basics and MATLAB training courses to conducting internships at Iran Khodro Industrial Group, he has gained valuable hands-on experience. His professional journey underscores a commitment to bridging theoretical knowledge with real-world applications, contributing to both scholarly discourse and industrial innovation.

Honors & Awards:

Shayan Nakidi Khanachah’s exceptional academic performance and contributions have been recognized through numerous honors and awards. Notably, he has ranked first among doctoral students in industrial engineering at Iran University of Science and Technology and has received prestigious accolades from the National Elite Foundation. His achievements highlight a consistent pursuit of excellence and a dedication to scholarly endeavors.

Publications Top Noted & Contributions:

Shayan Nakidi Khanachah has made significant contributions to scholarly literature through over 35 research articles published in domestic and international conferences and journals. Additionally, he has authored or co-authored books on network architecture and management, as well as management information systems. His research outputs reflect a depth of knowledge and a commitment to advancing the frontier of industrial engineering and project management.

“The effect of knowledge management processes on organizational innovation through intellectual capital development in Iranian industrial organizations”

  • Journal: Journal of Science and Technology Policy Management
  • Volume: 12
  • Issue: 1
  • Pages: 86-105
  • Citations: 42
  • Year: 2020

“The impact of customer assisted knowledge production capacity on customer capital in a knowledge-based center”

  • Journal: Annals of Management and Organization Research
  • Volume: 1
  • Issue: 2
  • Pages: 107-121
  • Citations: 15
  • Year: 2020

“Providing a framework for knowledge sharing in knowledge-based organizations according to social capital indicators”

  • Journal: Annals of Management and Organization Research
  • Volume: 1
  • Issue: 4
  • Pages: 271-284
  • Citations: 14
  • Year: 2021

“Identifying the key barriers to knowledge management and lessons learned in the project-based military organizations”

  • Journal: Military Management Quarterly
  • Volume: 19
  • Issue: 76
  • Pages: 29-68
  • Citations: 14
  • Year: 2020

“Investigating the reasons for failures and delays in R&D projects with the project management approach”

  • Journal: Annals of Management and Organization Research
  • Volume: 1
  • Issue: 4
  • Pages: 319-334

Research Timeline:

Shayan Nakidi Khanachah’s research journey has evolved over time, from his undergraduate studies to his current doctoral candidacy. He has continuously expanded his expertise and explored new avenues of inquiry, guided by a passion for knowledge and innovation. His research timeline showcases a progression from foundational learning to advanced scholarship, with each milestone contributing to his growth as a researcher and scholar