Hussain A. Younis | Computer Science | Best Researcher Award

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Mr. Hussain A. Younis | Computer Science | Best Researcher Award

College of Education at University of Basrah, Iraq

Hussain A. Younis is a dedicated researcher specializing in Artificial Intelligence, Security, Digital Image Processing, and Robotics. With a strong academic background from India and Malaysia and an affiliation with the University of Basrah, he has published impactful research in high-ranking journals and IEEE conferences. His work demonstrates interdisciplinary expertise, particularly in AI applications, human-robot interaction, and digital security. As an active IEEE member and potential reviewer, he is engaged in professional research communities. While his contributions are commendable, completing his Ph.D., increasing Q1/Q2 journal publications, securing research grants, and enhancing international collaborations would further strengthen his research profile. His growing citation impact and involvement in digital transformation research make him a strong candidate for the Best Researcher Award. With continued contributions in leadership, industry collaborations, and high-impact research, Hussain A. Younis is well-positioned to make significant advancements in the field of computer science and engineering.

Professional Profile 

Education

Hussain A. Younis has a strong academic background in computer science, with a Master’s degree earned in 2012 from India and ongoing Ph.D. studies since 2019 in Malaysia. His educational journey reflects a commitment to advanced research in Artificial Intelligence, Security, Digital Image Processing, and Robotics. His affiliation with the University of Basrah further strengthens his academic and research foundation, allowing him to contribute significantly to the field. Throughout his studies, he has focused on interdisciplinary research, exploring innovative solutions in AI-driven security systems, pattern recognition, and human-robot interaction. His academic pursuits have been complemented by active participation in professional organizations like IEEE, where he is a member and a prospective reviewer. While his research credentials are impressive, completing his Ph.D. will further solidify his expertise and credibility. His educational background positions him as a promising researcher with the potential to make impactful contributions to the scientific community.

Professional Experience

Hussain A. Younis has extensive professional experience in research and academia, with a focus on Artificial Intelligence, Security, Digital Image Processing, and Robotics. He is affiliated with the University of Basrah, where he contributes to both teaching and research in computer science. His work spans various interdisciplinary areas, including AI-driven security systems, pattern recognition, and human-robot interaction. As an IEEE member, he actively participates in academic conferences and serves as a prospective reviewer, further demonstrating his engagement in the global research community. His publications in high-impact journals and IEEE conferences highlight his contributions to advancing technology, particularly in robotics education, cybersecurity, and digital transformation. While his professional experience is commendable, taking on leadership roles in research projects, securing grants, and fostering international collaborations would further enhance his impact. His commitment to innovation and academic excellence makes him a valuable contributor to the scientific and technological landscape.

Research Interest

Hussain A. Younis’s research interests lie at the intersection of Artificial Intelligence, Security, Digital Image Processing, Pattern Recognition, and Robotics. His work explores innovative AI-driven solutions for enhancing security, improving human-robot interaction, and advancing digital transformation. He is particularly interested in speech recognition models, robotics in education, and secure cryptographic systems, contributing to cutting-edge developments in these fields. His research also addresses challenges in cybersecurity, focusing on encryption techniques and stream cipher systems to enhance data protection. Additionally, he investigates distinguishable patterns in image processing, applying AI techniques to optimize pattern recognition for various applications. Through his active participation in IEEE conferences and high-impact journal publications, he continuously contributes to technological advancements. His interdisciplinary approach and commitment to innovation position him as a promising researcher in AI and security, with the potential to make significant contributions to both academic research and real-world applications.

Award and Honor

Hussain A. Younis has been recognized for his contributions to research in Artificial Intelligence, Security, Digital Image Processing, and Robotics through various academic achievements and honors. His publications in high-impact journals and IEEE conferences reflect his dedication to advancing knowledge in these fields. As an active IEEE member, he has gained recognition within the global research community and has been invited to serve as a reviewer for IEEE conferences in Iraq. His work on robotics in education, cybersecurity, and encryption systems has earned significant attention, highlighting his expertise in interdisciplinary research. While his achievements are commendable, securing prestigious research grants, international fellowships, and industry collaborations would further enhance his profile. His commitment to innovation and scientific excellence makes him a strong contender for research awards, and with continued contributions, he is poised to receive greater recognition for his impact on the technological and academic landscape.

Research Skill

Hussain A. Younis possesses strong research skills in Artificial Intelligence, Security, Digital Image Processing, Pattern Recognition, and Robotics. His expertise lies in developing AI-driven solutions for security, speech recognition, and human-robot interaction, showcasing his ability to integrate multiple disciplines. He is proficient in data analysis, algorithm development, cryptographic security, and digital transformation technologies, enabling him to conduct high-quality research with practical applications. His experience in publishing in high-impact journals and IEEE conferences reflects his ability to conduct rigorous academic research and communicate findings effectively. As an active IEEE member and prospective reviewer, he demonstrates critical analysis and evaluation skills essential for scholarly contributions. Additionally, his research involves problem-solving, programming, and system design, particularly in robotics education and cybersecurity. To further enhance his research impact, focusing on international collaborations, advanced machine learning techniques, and securing research grants would strengthen his expertise and academic contributions.

Conclusion

Hussain A. Younis demonstrates strong research potential with impactful publications in AI, Robotics, and Security. His IEEE membership, interdisciplinary research, and international exposure make him a strong candidate for the Best Researcher Award. However, completing the Ph.D., increasing high-impact publications, and engaging in leadership roles would significantly enhance his eligibility for this prestigious award.

Publications Top Noted

  1. Hussain A. Younis, TAE Eisa, M Nasser, TM Sahib, AA Noor, OM Alyasiri, … (2024)

    • A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare: applications, considerations, limitations, motivation and challenges
    • Citations: 114

  2. Hussain A. Younis, NIR Ruhaiyem, W Ghaban, NA Gazem, M Nasser (2023)

    • A systematic literature review on the applications of robots and natural language processing in education
    • Citations: 48

  3. IM Hayder, TA Al-Amiedy, W Ghaban, F Saeed, M Nasser, GA Al-Ali, HA Younis, … (2023)

    • An intelligent early flood forecasting and prediction leveraging machine and deep learning algorithms with advanced alert system
    • Citations: 40

  4. OM Alyasiri, K Selvaraj, Hussain A. Younis, TM Sahib, MF Almasoodi, IM Hayder (2024)

    • A survey on the potential of artificial intelligence tools in tourism information services
    • Citations: 38

  5. S Salisu, NIR Ruhaiyem, TAE Eisa, M Nasser, F Saeed, HA Younis (2023)

    • Motion capture technologies for ergonomics: A systematic literature review
    • Citations: 25

  6. IM Hayder, GANA Ali, Hussain A. Younis (2023)

    • Predicting reaction based on customer’s transaction using machine learning approaches
    • Citations: 20

  7. Hussain A. Younis, ASA Mohamed, R Jamaludin, MNA Wahab (2021)

    • Survey of robotics in education, taxonomy, applications, and platforms during COVID-19
    • Citations: 20

  8. OM Alyasiri, AM Salman, S Salisu (2024)

    • ChatGPT revisited: Using ChatGPT-4 for finding references and editing language in medical scientific articles
    • Citations: 18

  9. Hussain A. Younis, OM Alyasiri, Muthmainnah, TM Sahib, IM Hayder, S Salisu, … (2023)

    • ChatGPT Evaluation: Can It Replace Grammarly and Quillbot Tools
    • Citations: 16

  10. MA Hussain, Hussain A. Younis, Iznan H. Hasbullah, Ghofran Kh. Shraida, Hameed A … (2023)

  • An Efficient Color-Image Encryption Method Using DNA Sequence and Chaos Cipher
  • Citations: 14
  1. Hussain A. Younis, ASA Mohamed, MN Ab Wahab, R Jamaludin, S Salisu (2021)
  • A new speech recognition model in a human-robot interaction scenario using NAO robot: Proposal and preliminary model
  • Citations: 11
  1. Hussain A. Younis, TY Abdalla, AY Abdalla (2009)
  • Vector quantization techniques for partial encryption of wavelet-based compressed digital images
  • Citations: 11

Fengyu Liu | Computer Science | Best Researcher Award

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Dr. Fengyu Liu | Computer Science | Best Researcher Award

PhD candidate at Southeast University, China

Fengyu Liu is a dedicated researcher specializing in deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and SLAM (Simultaneous Localization and Mapping). He has authored 10 academic papers, including 5 SCI-indexed Q1 journal articles, and has contributed significantly to the fields of robotics and sensor technology. With 5 domestic invention patents and 1 PCT patent, his work demonstrates a strong focus on innovation. He has received numerous awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, and has won four national and provincial-level first prizes in student competitions. He actively participates in academic conferences and serves as a reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals. His research contributions and leadership in the academic community make him a promising figure in the field of intelligent navigation and robotics.

Professional Profile

Education

Fengyu Liu earned his B.S. degree in Electronic Science and Technology from the School of Instrument and Electronics, North University of China, in 2020. Currently, he is pursuing a Ph.D. in Instrument Science and Technology at the School of Instrument Science and Engineering, Southeast University, Nanjing, China. His doctoral research focuses on deep learning-driven navigation, SLAM, and multi-sensor fusion for intelligent unmanned systems. Throughout his academic journey, he has been recognized for his outstanding performance, receiving prestigious scholarships and awards for academic excellence and research contributions.

Professional Experience

During his undergraduate studies, Fengyu Liu served as the Chair of the Embedded Laboratory at the Innovation Elite Research Institute, where he led multiple student research projects. He has been actively involved in presenting at international conferences, including the 2023 International Conference on Robotics, Control, and Vision Engineering (Tokyo) and the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing). His research findings have been published in top-tier journals, and he has contributed as a reviewer for leading IEEE journals. His expertise in SLAM, sensor fusion, and AI-driven navigation technologies has led to patents and real-world applications, making him a key contributor to the advancement of autonomous systems and intelligent robotics.

Research Interests

Fengyu Liu’s research focuses on deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and simultaneous localization and mapping (SLAM). His work explores advanced sensor fusion techniques, including the integration of LiDAR, cameras, inertial measurement units (IMUs), and deep learning models to enhance navigation accuracy and autonomy in complex environments. He is particularly interested in developing robust localization algorithms for dynamic and unstructured environments, with applications in robotics, autonomous vehicles, and aerospace navigation. His contributions to AI-driven SLAM and vision-based perception systems aim to improve real-time mapping, object recognition, and motion estimation for next-generation autonomous systems.

Awards and Honors

Fengyu Liu has received multiple prestigious awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, recognizing his academic excellence. He has won four first prizes at national and provincial-level university student competitions, demonstrating his problem-solving skills and technical expertise. His research has also been recognized at academic conferences, earning him the Outstanding Paper Award at the 2022 Science and Technology Workers Seminar of the Chinese Society of Inertial Technology. His participation in international research forums, such as the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing), further highlights his growing impact in the field.

Research Skills

Fengyu Liu possesses a diverse skill set in deep learning, computer vision, and multi-sensor data fusion, particularly for robotics and autonomous navigation. He is proficient in developing AI-based SLAM algorithms, sensor calibration techniques, and real-time embedded system implementations. His expertise extends to software tools and programming languages, including Python, MATLAB, C++, TensorFlow, and PyTorch, which he utilizes for machine learning and signal processing applications. He has hands-on experience with robotic perception systems, LiDAR-based mapping, and inertial navigation technologies, contributing to multiple high-impact research projects. Additionally, his role as a peer reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals reflects his strong analytical and critical evaluation skills in cutting-edge research.

Conclusion

Fengyu Liu is a highly promising young researcher with strong academic contributions, patents, and international recognition. His research in SLAM, deep learning, and multi-sensor fusion aligns with cutting-edge advancements in robotics and AI. His leadership roles, awards, and editorial responsibilities further strengthen his profile.

For the Best Researcher Award, he is a strong candidate, but additional international collaborations, funded research projects, and industry partnerships could further enhance his competitiveness for top-tier global research awards.

Publications Top Noted

  • Confidence Factor Based Robust Localization Algorithm with Visual-Inertial-LiDAR Fusion in Underground Space

  • LiDAR-Aided Visual-Inertial Odometry Using Line and Plane Features for Ground Vehicles

    • Authors: Jianfeng Wu, Xianghong Cheng, Fengyu Liu, Xingbang Tang, Wengdong Gu
    • Year: 2025
    • DOI: 10.1109/TVT.2025.3527472

  • Spatial Feature Recognition and Layout Method Based on Improved CenterNet and LSTM Frameworks

  • Transformer-Based Local-to-Global LiDAR-Camera Targetless Calibration With Multiple Constraints

  • Spacecraft-DS: A Spacecraft Dataset for Key Components Detection and Segmentation via Hardware-in-the-Loop Capture

  • A Visual SLAM Method Assisted by IMU and Deep Learning in Indoor Dynamic Blurred Scenes

  • A Spatial Layout Method Based on Feature Encoding and GA-BiLSTM

  • Combination of Iterated Cubature Kalman Filter and Neural Networks for GPS/INS During GPS Outages

    • Authors: Fengyu Liu, Xiaohong Sun, Yufeng Xiong, Huang Haoqian, Xiao-ting Guo, Yu Zhang, Chong Shen
    • Year: 2019
    • DOI: 10.1063/1.5094559

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 📈🎯