Mr. Abhijeet Thakare | Network Security | Best Researcher Award

Posted on 15/02/2025 by ScienceFather

Mr. Abhijeet Thakare | Network Security | Best Researcher Award

Mr. Abhijeet Thakare, Industrial Engineering, South Korea

Abhijeet Thakare is an experienced AI and computer vision engineer specializing in the design and development of AI-powered applications. With expertise in NVIDIA solutions, Deep Learning, Machine Learning, and algorithm development, he has successfully implemented AI-based computer vision solutions for real-time analytics, public transportation monitoring, and logistics automation. Currently based in Seoul, South Korea, Abhijeet has led AI teams in projects for Rapid KL Bus Malaysia, NUS Singapore, and CJ Logistics, developing advanced AI models for passenger monitoring, driver allocation optimization, and parcel detection. Proficient in tools like NVIDIA DeepStream, YOLOv8, TensorRT, and Kafka, he excels in AI-driven automation, real-time data processing, and edge computing solutions. With a strong research aptitude and problem-solving skills, Abhijeet continues to drive innovation in AI and computer vision applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Abhijeet Thakare demonstrates a strong background in AI-based research and development, particularly in the fields of computer vision, deep learning, and real-time analytics. His extensive experience in implementing NVIDIA DeepStream solutions, AI-powered automation, and reinforcement learning techniques for real-world applications reflects a high level of research innovation and technical expertise. His contributions to AI-driven public transportation analytics, logistics optimization, and robotic automation highlight his ability to translate research into impactful industrial applications. Additionally, his leadership in multiple AI projects, collaborations with industry

📚 Education

🎓 Bachelor’s & Master’s Degree (Details Not Provided)

Specialized in Artificial Intelligence (AI), Computer Vision, and Deep Learning
Focused on Algorithm/Protocol Designing and Model Testing

💼 Work Experience

🚍 CTO & Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Oct 2024
📌 Project: Rapid KL Bus Malaysia + Paymentinapp

Developed AI-based computer vision solutions for bus analytics and passenger monitoring
Implemented drowsiness detection, violence detection, smoke detection, seatbelt compliance, and phone usage tracking
Led real-time streaming and analytics using NVIDIA DeepStream SDK
Designed interactive monitoring interfaces for bus safety & passenger management
The solution was successfully demonstrated and is under review for deployment

🗺️ Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 July 2024 – Aug 2024
📌 Project: Rapid KL Malaysia + Paymentinapp

Implemented AI-based people tracking & heatmap generation for Singapore Conferences & Bus Analysis
Developed real-time monitoring for zone-based tracking and crowd management
Integrated DeepStream SDK to enhance visualization of occupancy heatmaps

🚎 Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Ongoing
📌 Project: Rapid KL Malaysia + NUS Singapore + Paymentinapp

Implemented Reinforcement Learning-based real-time analytics for driver allocation & bus optimization
Integrated Kafka, DeepStream, and FastAPI for backend data management & real-time insights
Developed AI-powered driver scheduling to reduce waiting times & improve efficiency

📦 AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 June 2024 – Sep 2024
📌 Project: Paymentinapp + CJ Logistics

Led AI-based parcel management using YOLOv8 & DeepStream SDK
Designed real-time parcel detection systems on NVIDIA Jetson devices
Integrated segmentation models for precise parcel dimension estimation
The project was successfully demonstrated and received positive feedback from CJ Logistics

🏆 Achievements & Awards

🏅 Innovative AI Developer – Successfully led multiple AI-based projects in computer vision & deep learning
🚀 Pioneer in Real-time Analytics – Designed AI-powered public transport monitoring systems
📜 Recognized AI Team Leader – Delivered high-accuracy AI models for automated tracking & surveillance
📊 Expert in Deep Learning & NVIDIA Solutions – Implemented AI-powered automation for multiple industries

Publication Top Notes:

Secure and efficient authentication scheme in iot environments

Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Posted on 05/02/2025 by ScienceFather

Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang , Beijing Information Science and Technology University, China

Prof. Dr. Kang Haiyan is a prominent academic in the field of Information Security, currently serving as a professor in the Department of Information Security at Beijing Information Science and Technology University, China. He earned his Ph.D. in Computer Application Technology from Beijing Institute of Technology in 2005. A senior member of the China Computer Federation and an ACM member, Prof. Kang has received recognition as an outstanding talent in Beijing and serves as an executive member of the Privacy Protection Committee of the China Confidentiality Association. He is the chief of the national first-class major in Information Security and has contributed significantly to the field through over 110 academic publications and six monographs. His research focuses on network security, blockchain technology, and privacy protection, resulting in six provincial and ministerial awards and 25 invention patents. Committed to education, he has been honored with national and local teaching achievement awards and recognized as an Excellent Graduate Thesis Supervisor in Beijing. Additionally, he holds editorial board positions with several academic journals in the field.

Professional Profile:

SCOPUS

Prof. Dr. Kang Haiyan for the Best Researcher Award

Prof. Dr. Kang Haiyan is a remarkable candidate for the Best Researcher Award due to his extensive contributions to the fields of network security, blockchain, and privacy protection, alongside his dedication to academic excellence and leadership in education.

Education

Ph.D. in Computer Application Technology
Beijing Institute of Technology, China (2005) 🎓

Work Experience

Professor
Department of Information Security, Beijing Information Science and Technology University, Beijing, China
Chief
National First-Class Major (Information Security) and Electronic Information (Network and Information Security) 📚
Editorial Board Member
- Journal of Information Security Research
- Cyberspace Security
- Journal of Cyberspace Security Science
- Journal of Beijing University of Information Science and Technology

Achievements

Research Awards: 6 provincial and ministerial level awards 🏆
Invention Patents: 25 patents for innovative contributions 💡
Publications: Over 110 academic papers and 6 monographs 📖

Awards and Honors

National Teaching Achievements: 2 Third Prizes 🥉
Beijing Teaching Achievements: 1 Second Prize 🥈
Title: Excellent Graduate Thesis Supervisor in Beijing 🌟

Publication Top Notes:

Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network

Community overlap discovery algorithm based on industrial big data

Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy

Enhancing data security in massive data sets using blockchain and federated learning: a loosely coupled approach

Research on Federated Sharing Methods for Massive Data in Blockchain

Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

Posted on 16/12/2024 by ScienceFather

Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

Assoc. Prof. Dr. Jing Huang, Beijing university of technology, China

Jing Huang is an Associate Professor at the Faculty of Information Technology at Beijing University of Technology, where he has been a faculty member since July 2007. He holds a strong research focus on blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing. Dr. Huang has received several accolades for his contributions to education and research, including the Students’ Favourite Teacher Award at Beijing University of Technology in July 2021 and the Wu Wenjun AI Science & Technology Award (Second Prize) from the Chinese Association for Artificial Intelligence in January 2021. Additionally, he has been recognized as an Annual Excellent Member of CAAI in the same year. Dr. Huang is actively involved in professional activities, serving as a supervisor and member of the Beijing Association for Artificial Intelligence (BAAI) since 2018 and as Associate Secretary-General and Standing Committee member of the Committee of Education and Popular Science in CAAI since 2020. He is also a member of the evaluation panel for the Beijing Nova Program, contributing to the advancement of artificial intelligence and technology in China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jing Huang

Profile: Dr. Jing Huang is an Associate Professor at the Faculty of Information Technology, Beijing University of Technology, China. With a robust academic background and over 16 years of experience in the field, Dr. Huang has established herself as a leading researcher in areas such as blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing.

Education 🎓

Ph.D. in Computer Science
Beijing University of Technology, Beijing, China
(Year of completion not specified)
M.S. in Computer Science
Beijing University of Technology, Beijing, China
(Year of completion not specified)
B.S. in Computer Science
Beijing University of Technology, Beijing, China
(Year of completion not specified)

Work Experience 💼

Associate Professor
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Duration: July 2007 – Present

Achievements 🌟

Students’ Favourite Teacher Award
Beijing University of Technology, July 2021
Wu Wenjun AI Science & Technology Award (Second Prize)
Chinese Association for Artificial Intelligence, January 2021
Annual Excellent Member for CAAI
Chinese Association for Artificial Intelligence (CAAI), January 2021

Professional Activities 🤝

Supervisor and Member
Beijing Association for Artificial Intelligence (BAAI)
Duration: 2018 – Present
Associate Secretary-General and Standing Committee Member
Committee of Education and Popular Science in CAAI
Duration: 2020 – Present
Evaluation Panel Member
Beijing Nova Program

Publication Top Notes

An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning

Smart contracts vulnerability detection model based on adversarial multi-task learning

TOCIM: An improved operant conditioning model with task-oriented curiosity

A Brain-Inspired Model of Hippocampal Spatial Cognition Based on a Memory-Replay Mechanism

Deep Reinforcement Learning Based on Social Spatial–Temporal Graph Convolution Network for Crowd Navigation

Dr. Bahar Aydın Can | Security Awards | Women Researcher Award

Posted on 11/11/2024 by ScienceFather

Dr. Bahar Aydın Can | Security Awards | Women Researcher Award

Dr. Bahar Aydın Can, Izmit Vocational School, Turkey

Bahar Aydın Can is a Lecturer at Kocaeli University, located in Izmit, Turkey, where she has been teaching since 2005. She holds a Doctoral Degree in the socio-economic impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone, which she completed in 2018 under the supervision of Dr. Sait Engindeniz. Her academic journey also includes a Master’s Degree in the production and marketing of mandarins, completed in 2004, and a Bachelor’s Degree in 1998. Throughout her career, Bahar has contributed to several scientific research projects, focusing on agricultural economics, livestock support, milk marketing efficiency, and environmental impact in the agricultural-food sector. In addition to her teaching role, she has held several administrative positions, including Co-head of the Department of Plant and Animal Production and Vice Director at Kocaeli University’s Arslanbey Vocational School. Bahar is also a dedicated project leader and thesis advisor, mentoring students and researchers in fields related to agriculture and sustainability. Her academic work, along with her leadership in various projects, has made her a prominent figure in agricultural research in Turkey.

Professional Profile:

SCOPUS

Suitability of Bahar Aydın Can for the Research for Women Researcher Award

Bahar Aydın Can is highly suitable for the Research for Women Researcher Award based on her extensive academic background, research involvement, leadership roles, and contributions to the fields of agricultural economics and sustainable agriculture.

Education:

Doctoral Degree (March 26, 2018)
- Thesis: A Study on the Socio-economic Impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone
- Thesis Advisor: Dr. Sait Engindeniz
Master’s Degree (June 14, 2004)
- Thesis: A Study on Mandarin Production and Marketing in Selected Enterprises in Seferihisar District, Izmir
- Thesis Advisor: Murad Yercan
Bachelor’s Degree (June 15, 1998)

Professional Experience:

Lecturer at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production, Medical and Aromatic Plants Program (since June 10, 2005)

Positions in Projects:

Cooperative Partner Analysis of Utilization of Livestock Support and Milk Marketing Efficiency in Dairy Cattle Enterprises
- Researcher: Bahar Aydın Can
- Collaborators: Sait Engindeniz, Onur Can
- Project Duration: March 7, 2021 – April 10, 2023
- Supported by: Higher Education Institutions
Environmental Emission Level Determinants of Firms in the Agricultural-Food Sector
- Researcher: Bahar Aydın Can
- Collaborators: İlhan Çam, Ümmühan Mutlu
- Project Duration: December 8, 2024 – In Progress
- Supported by: Higher Education Institutions
Determining the Harvest Maturity and Storage Properties of Miski Pepino Solanum muricatum Ait Cultivar Grown in Kocaeli Conditions
- Researcher: Rezzan Kasım
- Collaborators: Mehmet Ufuk Kasım, Bahar Aydın Can, Mehmet Ünlü, Cengiz Ay
- Project Duration: January 1, 2006 – January 1, 2008
- Supported by: Higher Education Institutions

Administrative Positions:

Co-head of Department at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production (2021 – present)
Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2013-2015)
Vice Director at Kocaeli University, Arslanbey Vocational School (2015-2019)
Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2005-2013)

Publication top Notes:

Turkish Consumers’ Perceptions of Organic Milk and the Factors Affecting Consumption: The Case of Kocaeli, Türkiye

A research on the opinions and suggestions of the youth who study agriculture in turkey on the young farmer grant project

Determining the opinions and expectations of the local farmers about the potential impacts of kocaeli kandira food specialized organized industrial zone, Turkey

A research on the characteristics and activities of producers in organic markets: A case study of Izmit and Sişli district

The Effect of Bat Guano Applied to the Soil in Different Forms and Doses on Some Plant Nutrient Contents

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award

Posted on 08/11/2024 by ScienceFather

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award

Prof. Tian-Fu Lee, Tzu Chi University, Taiwan

Dr. Tian-Fu Lee is a professor in the Department of Medical Informatics and the Institute of Medical Sciences at Tzu Chi University, Taiwan. He earned his B.S. degree in Applied Mathematics from National Chung Hsing University, Taiwan, followed by an M.S. degree in Computer Science and Information Engineering from National Chung Cheng University, Taiwan. He completed his Ph.D. in Computer Science and Information Engineering at National Cheng Kung University, Taiwan. Dr. Lee’s research interests span cryptography, network security, medical information security, wireless networks, Wireless Sensor Networks (WSN), the Internet of Things (IoT), the Internet of Medical Things (IoMT), and the Internet of Drones (IoD), where he contributes extensively to advancements in secure and efficient information systems for medical and technological applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Tian-Fu Lee is a highly qualified candidate for the Best Researcher Award, given his extensive academic background, contributions, and impactful research in fields related to cryptography, network security, medical information security, wireless sensor networks (WSN), the Internet of Things (IoT), and the Internet of Medical Things (IoMT). His academic trajectory—from a Bachelor’s in Applied Mathematics through a Master’s and Ph.D. in Computer Science and Information Engineering—equips him with a strong foundation in both theoretical and applied research. Currently, as a professor at Tzu Chi University in Taiwan, he has focused on solving crucial problems in medical informatics, cybersecurity, and privacy, particularly within healthcare systems.

Education

Bachelor of Science (B.S.) in Applied Mathematics
- Institution: National Chung Hsing University, Taiwan
Master of Science (M.S.) in Computer Science and Information Engineering
- Institution: National Chung Cheng University, Taiwan
Ph.D. in Computer Science and Information Engineering
- Institution: National Cheng Kung University, Taiwan

Work Experience

Position: Professor
- Department: Department of Medical Informatics and Institute of Medical Sciences
- Institution: Tzu Chi University, Taiwan

Research Interests

Cryptography
Network Security
Medical Information Security
Wireless Networks
Wireless Sensor Networks (WSN)
Internet of Things (IoT)
Internet of Medical Things (IoMT)
Internet of Drones (IoD)

Publication top Notes:

Compliance with HIPAA and GDPR in Certificateless-Based Authenticated Key Agreement Using Extended Chaotic Maps

Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment

Extended Chaotic-Map-Based User Authentication and Key Agreement for HIPAA Privacy/Security Regulations

Blockchain-Based Healthcare Information Preservation Using Extended Chaotic Maps for HIPAA Privacy/Security Regulations

Mrs. Ghaida Balhareth | Protection Award | Best Researcher Award

Posted on 09/09/2024 by ScienceFather

Mrs. Ghaida Balhareth | Protection Award | Best Researcher Award

Mrs. Ghaida Balhareth, Florida Atlantic University, United States

Ghaida M. Balhareth is a Ph.D. candidate in Computer Science at Florida Atlantic University, Florida, USA, where she has been pursuing her studies since 2021. With a Master’s degree in Computer Science from Clark Atlanta University (2017) and a Bachelor’s degree in Computer Science from King Faisal University in Saudi Arabia (2008), she brings over 14 years of academic and teaching experience. Ghaida has held multiple leadership and committee roles, including serving as a Teaching Assistant at Florida Atlantic University since Fall 2023, and previously as the Coordinator of the Information System Department at Najran University from 2019 to 2020. Additionally, she has contributed to various committees, such as the Disciplinary Committee and Alumni Unit. Her research interests focus on IoT security, blockchain technology, and machine learning applications in the Internet of Medical Things (IoMT). Ghaida has published several papers, including contributions to the IEEE conferences and the International Multi-Conferences on Complexity, Information, and Cybernetics.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Ms. Ghaida M. Balhareth has demonstrated significant academic and professional contributions that make her a strong candidate for the Best Researcher Award. She is currently pursuing a Ph.D. in Computer Science at Florida Atlantic University and has earned a Master’s degree in the same field. Her fourteen years of experience in teaching and various academic roles demonstrate her leadership, commitment to education, and skill development.

EDUCATION

Ph.D. Candidate in Computer Science
Florida Atlantic University, Florida, USA (2021 – Present)
Master’s in Computer Science
Clark Atlanta University, Georgia, USA (2017)
Bachelor’s in Computer Science
King Faisal University, Dammam, Saudi Arabia (2008)

WORK EXPERIENCE

Teaching Assistant
Florida Atlantic University (Fall 2023 – Present)
Coordinator, Information System Department
Najran University (2019 – 2020)
Member, Disciplinary Committee
Najran University (2018 – 2020)
Coordinator, Alumni Unit
Najran University (2018 – Present)
Coordinator, Computer Labs and Halls Committee
Najran University (2018 – Present)
Member, Exams Committee
Najran University (2012)
Member, Control Committee, The National Center for Assessment in Higher Education (Qiyas)
(2011 – 2013)
Teacher Assistant
Najran University, College of Computer Science and Information Systems (2009 – Present)
Computer Teacher
Ministry of Education, Second High School (2008 – 2009)

Publication top Notes:

IoT Big Data Privacy Using Blockchain Technology: A Survey

Survey for Security in IoT in e-Healthcare

Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

Posted on 09/08/2024 by ScienceFather

Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

MSc in Microbiology
Kumoh National Institute of Technology, South Korea
📅 February 2023
- Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
- Advisor: Professor Wansu Lim
BSc in Mathematics
Delta State University, Abraka, Nigeria
📅 October 2019
- Second Class Upper Division
- Thesis: Counting Techniques in Discrete Mathematics
- Advisor: Dr. J.S. Apanapudor

🔬 Research Interests

Data Generation
Emotion Recognition
Machine Learning

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

Worked on lab projects under the supervision of Professor Wansu Lim
Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊
Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️
Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸
Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄
Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗
Applied data fusion techniques for face and speech emotion recognition 🤖
Generated artificial data for ultra-capacitor projects 🔋

🏅 Honors and Awards

Christ High School Scholarships
📅 September 2012
- Part-time scholarship for secondary school education 🎓
Korean Government Scholarship Award
📅 2021 – 2023
- Full funding for Master’s program in South Korea 🇰🇷

Publication top Notes:

Synthetic Data Generation Using GAN for RUL Prediction of Supercapacitors

Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG

Mrs. Asha varma Songa | Network Security | Best Researcher Award

Posted on 04/06/2024 by ScienceFather

Mrs. Asha varma Songa | Network Security | Best Researcher Award

Mrs. Asha varma Songa, VIT-AP University, India

S. Asha Varma is a dedicated professional with a rich academic background and extensive experience in the field of Computer Science and Engineering. Currently pursuing her Ph.D. in Cloud Security from VIT-AP University, Amaravati, she demonstrates a relentless pursuit of knowledge and expertise in her chosen field. With a Master’s degree in Computer Science and Engineering from V.R. Siddhartha Engineering College and a Bachelor’s degree from Chaitanya Bharathi Institute of Technology, she has laid a solid foundation for her academic journey.Asha Varma’s academic achievements are commendable, having qualified for Assistant Professor in UGC-NET with an impressive percentile and thrice clearing the GATE examination. Her journey in academia spans over a decade, marked by various roles including Assistant Professor at VIT-AP University, Amaravati, NRI Institute of Technology, Agiripalli, Andhra Loyola Institute of Engineering and Technology, Vijayawada, among others.

Professional Profile

Scopus Profile

Academic Qualifications:

Pursuing Ph.D. (Cloud Security) in Computer Science and Engineering at VIT-AP University Amaravati from 2020 DEC to 2023 DEC. (Thesis Preparation)
M.Tech (Computer Science and Engineering) with 68.9% at V.R. Siddhartha Engineering College, affiliated to Acharya Nagarjuna University, 2010.
B.E in Computer Science and Engineering with 62.85% at Chaitanya Bharathi Institute of Technology, Hyderabad, affiliated to Osmania University, 2005.

Achievements:

Qualified for Assistant Professor in UGC-NET 2019 with 89.2 percentile.
Thrice GATE qualified:
- 2008 with 70.37 percentile
- 2013 with a score of 280 and valid up to 2015 with a score of 253.
- 2018 with a score of 263 and valid up to 2021.

Work Experience: Total 11 years

Assistant Professor Junior, VIT-AP University, Amaravati (Aug-2021 to Present)
Assistant Professor, NRI Institute of Technology, Agiripalli (June-2018 to Dec-2020)
Assistant Professor, Andhra Loyola Institute of Engineering and Technology, Vijayawada (June-2010 to Oct-2014)
Lecturer, V.R.Siddhartha Engineering College, Vijayawada (June-2007 to Feb-2008)
Assistant Professor, Sai Spurthi Institute of Technology, Khammam (district) (May-2006 to April-2007)

Teaching Experience:

M.Tech and B.Tech subjects taught.

Courses taught:

Computer Organization
Computer Graphics
Software Engineering
Object-Oriented Programming through JAVA

Labs Handled:

OOPS through JAVA Lab
Case Tools Lab
UNIX Network Programming
DS Lab
Computer Networks Lab
Python Programming Lab

Additional Responsibilities:

Member of BOS in CSE Department at NRIIT, Agiripalli.
Member involved in framing Computer organization autonomous syllabus at NRIIT, Agiripalli.
NBA documentation in charge for CRITERIA-II.
In charge of conducting Remedial classes.
Organizing member in College Technical Fest.
Member of the women’s cell.
Guided Undergraduate Research projects.