Mr. Abhijeet Thakare | Network Security | Best Researcher Award

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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

Assoc. Prof. Dr. Katarína Draganova | Security Systems | Best Researcher Award

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Assoc. Prof. Dr. Katarína Draganova | Security Systems | Best Researcher Award 

Assoc. Prof. Dr. Katarína Draganova, Technical University of Kosice, Slovakia

Assoc. Prof. Ing. Katarína Draganová, PhD., ING-PAED IGIP, is a distinguished academic and researcher in the field of electronics and aviation technology. She is currently an Associate Professor at the Technical University of Košice, Faculty of Aeronautics, where she has been actively engaged in research and teaching. From 2021 to 2023, she served as the Head of the Department of Aviation Technical Studies, contributing significantly to the development of academic programs and research initiatives. Her expertise lies in applied sensorics, aviation and industrial electronic systems, and air traffic management. She earned her Ph.D. in Electronics from the Technical University of Košice in 2012 and has since been involved in various research and development projects, publishing extensively in her field. In addition to her academic career, she holds an International Engineering Educator (ING-PAED IGIP) certification and has been instrumental in mentoring students at bachelor’s, master’s, and doctoral levels. Fluent in Slovak, English (FCE-certified), and German, she continues to make significant contributions to engineering education and aviation technology advancements.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Assoc. Prof. Ing. Katarína Draganová, PhD., is a highly accomplished researcher and educator in aviation electronics, air traffic management, and applied sensor technology. Her extensive contributions to research, education, and academic leadership make her a strong candidate for the Best Researcher Award.

🎓 Education

  • 2018 – Associate Professor (Assoc. Prof.) in Electronics, Technical University of Košice
  • 2013 – 2014 – International Engineering Educator (ING-PAED IGIP), Technical University of Košice
  • 2009 – 2012 – Ph.D. in Aviation and Industrial Electronic Systems, Faculty of Aeronautics, Technical University of Košice
  • 2004 – 2009 – Engineer (Ing.) in Air Traffic Management, Faculty of Aeronautics, Technical University of Košice
  • 1996 – 2004 – Grammar School, P.O. Hviezdoslav in Dolný Kubín
  • 1992 – 1996 – Elementary School, Vyšný Kubín

💼 Work Experience

  • 2018 – Present – Associate Professor, Technical University of Košice, Faculty of Aeronautics
    • Research and teaching in bachelor’s, engineering, and doctoral programs
    • Supervising bachelor’s, diploma, and dissertation theses
    • Research in applied sensorics and aviation technology
  • 2021 – 2023 – Head of the Department of Aviation Technical Studies
    • Managed academic and research activities within the department
  • 2017 – 2018 – Assistant Professor, Technical University of Košice
    • Led lectures, exercises, and research projects in aviation and electronics
  • 2012 – 2017 – Senior Scientist, Technical University of Košice
    • Conducted research and development in aviation sensor technology
    • Co-authored scientific publications and mentored students

🏆 Achievements, Awards & Honors

  • Recognized as an Expert in Aviation Electronics ✈️
  • Published Numerous Research Papers in Sensorics and Aviation Technology 📜
  • Contributed to National and International Research Projects 🌍
  • FCE (Cambridge First Certificate in English) Certified 📖
  • Fluent in German 🇩🇪

Publication Top Notes:

From Košice to the Orbit. A Successful Story of Applied Magnetism

Mechanical Design and Testing of Mobile Monitoring Units for Security Systems

Implementation of Magnetic Markers for the Diagnostics of Conveyor Belt Transportation Systems

Stray Magnetic Field Measurement Method of Magnetic Hysteresis Curve of Open-Ended Sensor and Actuator Cores

Non-Destructive Testing of Pipe Conveyor Belts Using Glass-Coated Magnetic Microwires

Influence of Disinfectants on Airport Conveyor Belts

Ms. Jixin Wei | Data Security Awards | Excellence in Research

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Ms. Jixin Wei | Data Security Awards | Excellence in Research

Ms. Jixin Wei, University of Zürich, Switzerland

Wei Jixin is currently pursuing a Master of Laws in International and Comparative Law at the University of Zurich, where he has received several accolades, including first and second prizes at prestigious law conferences. He previously earned a Bachelor of Law from Hangzhou City University, achieving a GPA of 3.81/4.0 and receiving numerous awards for academic excellence, including the Third Prize at the National Finals of the Sixth National Students’ “Learning and Speaking about the Constitution” Activity. Jixin has gained valuable professional experience as an Intern Researcher at the Institute for Studies on Artificial Intelligence and Law at Tsinghua University and at the Institute of Internet Rule of Law in Hangzhou, contributing to legislative tracking and academic research in network and data rule of law. He has also co-founded Hangzhou Qiancheng Digital Technology Company, where he serves as the Legal Director, overseeing legal affairs and contract management. Jixin’s academic contributions include participation in significant judicial research projects and editing for ALSA LAW COMMENT, focusing on technology law. He has interned at various legal institutions, including law firms and courts, gaining hands-on experience in litigation and arbitration.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Research for Excellence in Research Award: Wei Jixin

Wei Jixin is an exemplary candidate for the Research for Excellence in Research Award due to her impressive academic achievements, robust research experience, and significant contributions to the field of law, particularly in the intersection of technology and legal studies.

📚 Educational Background

University of Zurich (2024.09.04 – Present)

  • Master of Laws in International and Comparative Law
  • Awards:
    🥇 First Prize of the Application for Papers at the 2024 Annual Meeting of the Applied Law Research Association of Shandong Law Society
    🥈 Second Prize of the 2024 Annual Conference of Zhejiang Law Society Digital Rule of Law Research Association

Hangzhou City University (2019.09.03 – 2023.06.16)

  • Bachelor of Law | GPA: 3.81/4.0
  • Awards:
    🥉 Third Prize of the National Finals of the Sixth National Students’ “Learning and Speaking about the Constitution” Activity
    🥇 First Prize of Essay for the 2023 Annual Academic Conference of Guangxi Province Litigation Law Research Society
    🥈 Second Prize of Essay Competition of the 2022 Annual Conference of Financial Law Research of Zhejiang Province
    🥈 Second Prize of Essay Competition of the Ninth Legal Vocational Ability Competition for College Students in Zhejiang Province
    🥈 Second Prize of Essay Competition of the Eighth Legal Vocational Ability Competition for College Students in Zhejiang Province
    🥉 Bronze Prize of the Thirteenth “Challenge Cup” China Student Entrepreneurship Program Competition in Zhejiang Province
    🥉 Bronze Prize of the 18th “Challenge Cup” Extracurricular Academic and Technological Works Competition for College Students in Zhejiang Province
    🥉 Bronze Prize of the 9th China International “Internet+” Student Innovation and Entrepreneurship Competition in Zhejiang Province
    ✨ Young Essay Rookie Award of the 2022 Annual Conference of Digital Rule of Law Research Society
    🏅 Outstanding Thesis
    🎓 Outstanding Graduate Representative of Hangzhou City University

University of Macau (2021.08.11 – 2022.01.31)

  • Bachelor of Law in Chinese Language | Exchange Student

💼 Professional Experience

Institute for Studies on Artificial Intelligence and Law, Tsinghua University
Intern Researcher (2024.10.20 – Present)

  • Tracked legislative developments and judicial judgments in network and data rule of law.

Institute of Internet Rule of Law (Hangzhou) & East China University of Political Science and Law
Intern Researcher (2024.03.26 – 2024.08.29)

  • Assisted in research on Internet law topics and organized academic forums.

Institute of Digital Finance, Hangzhou City University
Research Associate (2023.06.17 – Present)

  • Conducted legal research and drafted research papers.

Hangzhou Qiancheng Digital Technology Company
Supervisor, Co-founder, Legal Director (2021.09.16 – Present)

  • Managed legal affairs and drafted business contracts.

ALSA LAW COMMENT
Editor (2022.06.25 – Present)

  • Participated in legal research projects in technology law.

Zhejiang Junan Century Law Firm
Intern (2023.06.21 – 2023.09.19)

  • Assisted in preparing litigation materials and case retrieval.

Hangzhou Fuyang District People’s Court
Intern of the Case Filing Division (2020.12.09 – 2022.06.19)

  • Managed case schedules and communicated with attorneys.

Liuhe Law Firm
Intern (2021.12.16 – 2022.02.16)

  • Drafted legal opinions and participated in client meetings.

Hangzhou Shangcheng District People’s Court
Intern of the Civil Court (2021.07.29 – 2021.09.10)

  • Assisted in civil judgments writing and case material referrals.

Jinhua Jindong District People’s Court
Intern of the Criminal Court (2020.08.03 – 2020.09.02)

  • Organized case materials and sorted case files.

🏆 Achievements and Awards

  • 🥇 First Prize in several academic competitions and conferences, showcasing excellence in legal research and writing.
  • 🤝 Active involvement in key research projects, including Judicial Protection of Intellectual Property Rights in Data Rights and integrated reforms in legal processes.

Publication Top Notes:

Dr. Mohammad Faisal | Security Award | Best Innovation Award

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Dr. Mohammad Faisal | Security Award | Best Innovation Award

Dr. Mohammad Faisal, University of Malakand, Qatar

Dr. Mohammad Faisal is a distinguished researcher and academic with a Ph.D. in Computer Science, specializing in Network Security and Machine Learning. With a robust impact factor of 71.7, his research contributions encompass various facets of cybersecurity, including identity attack detection, DDoS attack analysis, and energy-efficient communication protocols. Dr. Faisal’s work has been featured in renowned journals such as IEEE Access, Complexity, and the EURASIP Journal on Wireless Communications and Networking. He is an ACM Professional Member and has been recognized by WIPO as a certified intellectual property expert. Currently serving as a Lecturer at the University of Malakand, Dr. Faisal has previously held academic positions at the University of Swabi and City University of Science and Technology. His expertise extends to network engineering, where he has substantial experience with LAN/WAN configuration and SQL Server management. Dr. Faisal has also been a keynote speaker and session chair at numerous international conferences, reflecting his leadership in the field. His commitment to education and research is further demonstrated through his active participation in workshops and conferences, and he has received accolades for both teaching and research excellence.

Professional Profile:

Summary of Suitability for Best Innovation Award

PhD in Computer Science & IT from the University of Malakand, Pakistan, with a focus on Network Security and Machine Learning. MS in Information Security Management from SZABIST, Pakistan. Dr. Faisal’s research spans various innovative fields including wireless ad hoc networks (MANETs, VANETs), IoT, Cloud, Fog, Edge Computing, Blockchain, and digital forensics.

Education

  • PhD in Computer Science (Network Security), University of Malakand, Dir-Lower, KPK, Pakistan (March 2013 – June 2018)
  • Master of Science in Computer Science (Information Security Management), SZABIST, Islamabad, Pakistan (August 2010 – August 2012)
  • Bachelor of Computer Science, University of Malakand, Dir-Lower, KPK, Pakistan (December 2001 – September 2006)

Research Experience

Research Projects:

  • Cluster based Anti-Phishing (CAP) mechanism for smartphones
  • Blockchain in health care system (submitted for grant approval)
  • Working on IADS with Fast science organization

Experience in Research Tools:

  • Python programming language
  • WEKA Tool for Machine Learning
  • Graph Theory for Mathematical Evaluation
  • NS2/NS3 for Simulation
  • SPSS/Endnote for Statistical Evaluation

Work Experience:

  1. Lecturer, University of Malakand, Dir, KPK, Pakistan (Feb 2016 – Present)
    • Additional Responsibilities: Focal Person for Sustainable Goals Development (SDGs), Department of Cyber Security, Faculty Mentor Cyber Security Club, Volunteer for University of Malakand and Environmental Protection Society, Ex-Manager Financial Aid, Ex-Semester Coordinator CS & IT.
  2. Lecturer, University of Swabi, Swabi, KPK, Pakistan (Nov 2013 – Jan 2016)
    • Additional Responsibilities: Head of Department Computer Science/IT, Additional Controller of Examination-Secrecy, Member of university Proctorial Board, Member of Board of Studies Department CS & IT, Member of Board of Faculty, Member of Academic Council.
  3. Lecturer, City University of Science & Technology-CUSIT, Peshawar, KPK, Pakistan (Oct 2012 – Nov 2013)
    • Responsibilities included teaching undergraduate and graduate level courses, supervising research projects, writing and publishing research work, designing curriculum, and delivering seminars.
  4. Network Engineer, PRAL-Motorway Project, FBR-Islamabad (Nov 2006 – Jul 2013)
    • Responsibilities included LAN and WAN network configuration, installation and management of SQL Server, Windows Client/Server, DNS, DHCP, and FTP/Web Servers.

Awards and Certifications

Awards:

  • Best Teacher Award, University of Swabi
  • Best Researcher Award, University of Malakand
  • Merit Scholarship Award in MS, SZABIST

Certifications:

  • CISCO Certified Instructor (CCNA Routing & Switching: Introduction to Networks, Routing & Switching Essentials, Scaling Networks, Connecting Networks)

International Memberships:

  • ACM Professional Member
  • IEEE Computer Society
  • Cyber Security

Publication top Notes:

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

An energy-efficient mobile agent-based data aggregation scheme for wireless body area networks

A decision support system for assessing the role of the 5G network and AI in situational teaching research in higher education

Decision support system for evaluating the role of music in network-based game for sustaining effectiveness

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Mrs. Ghaida Balhareth | Protection Award | Best Researcher Award

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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:

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

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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

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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

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.

 

Publications Notes:📄

An integrated SDN framework for early detection of DDoS attacks in cloud computing

IWaOA: Resource aware Scheduling through Cloud Fog Computing Environment

Ensemble-RNN: A Robust Framework for DDoS Detection in Cloud Environment