Rahul Chaurasia | Computer Science | Best Researcher Award

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Dr. Rahul Chaurasia | Computer Science | Best Researcher Award

Postdoc Researcher 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

Education📚

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 Experience🏛️

Chaurasia’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 Interest🌐

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 Honors🏆

Chaurasia’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.

Achievements🏅

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

Education📚

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 Experience🏛️

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 Interest🌐

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 Honors🏆

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.

Achievements🏅

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. 📚🔐🏆

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

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 📚. She is currently pursuing her Ph.D. part-time at VTU, showcasing her dedication to continuous learning and professional growth 🎓. Padmini holds an M.Tech. in Computer Networks and a B.E. in Computer Science, reflecting her strong academic foundation 🖥️. Her research interests span IoT, energy efficiency, and smart environments, with numerous publications in reputable journals and international conferences 🌐. 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 👩‍🏫.

Professional profile

Education📚

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 Experience🏛️

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 Interest🌐

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 Honors🏆

Padmini M.S. has been recognized for her significant contributions to the field of Computer Science and Engineering through various awards and honors 🏅. 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 📚. Her work has not only advanced academic knowledge but also demonstrated practical applications, earning her respect and recognition in the academic community 🌟. 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 👩‍🏫.

Achievements🏅
  • 🏅 Over 13 years of experience as an Assistant Professor in Computer Science and Engineering at The National Institute of Engineering, Mysore.
  • 📚 Published numerous papers in reputable journals and presented at international conferences.
  • 🎓 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.
  • 🌐 Conducted significant research in IoT, energy efficiency, and smart environments.
  • 🖥️ 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”.
  • 👩‍🏫 Recognized for excellent communication skills, problem-solving ability, and adaptability to new technologies.
  • 🌟 Highly respected in the academic community for her innovative research and practical applications.
  • 📜 Demonstrated commitment to continuous learning and professional growth through her ongoing Ph.D. studies and research initiatives.
Publications top noted📜
  • 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
    • 📜📆0️⃣
  • 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
    • 🌐🔋0️⃣
  • 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
    • 💡🏙️1️⃣
  • 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
    • 🚁🤖0️⃣

Bechoo Lal | Computer Science | Best Researcher Award

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Dr. Bechoo Lal | Computer Science | Best Researcher Award

Associate Professor of KLEF- KL University Vijayawada Campus Andhra Pradesh, India

Dr. Bechoolal 🌟 is an esteemed Associate Professor in Computer Science/Data Science with a passion for inspiring students through a deep understanding of technology and research. With a solid academic foundation that includes a PGP in Data Science from Purdue University and multiple PhDs in Information Systems and Computer Science 🎓, he brings a wealth of expertise to his teaching and research. Dr. Bechoolal has extensive experience in various institutions, from KLEF KL Deemed University to Western College 🏫, and has made significant contributions through his numerous research publications and certifications 🏅. His interests span Machine Learning, Data Science, and programming languages, and he actively engages in projects that explore digital transformation and its societal impacts 💻🔍. Fluent in English and Hindi 🇬🇧🇮🇳, he continues to advance knowledge and inspire the next generation of tech professionals.

Publication profile

Education

Dr. Bechoolal 🎓 is a distinguished academic with a rich educational background in Computer Science and Data Science. He earned a PGP in Data Science from Purdue University 🌟, where he specialized in data regression models and predictive data modeling. Dr. Bechoolal holds multiple PhDs—one in Information Systems from the University of Mumbai and another in Computer Science from SJJT University 🧠. His foundational studies include a Master of Technology in Computer Science from AAI-Deemed University, a Master of Computer Applications from Banaras Hindu University, and an undergraduate degree in Statistics from MG. Kashi Vidyapeeth University 📚. His continuous quest for knowledge is also reflected in his various certifications, including Machine Learning from Stanford University and an IBM Data Science Professional Certificate 🏅.

Academic Qualification

  • 📜 PGP in Data Science (2020-2021) from Purdue University, USA – Specializing in data regression models, predictive data modeling, and accuracy analyzing using machine learning.
  • 📜 PhD in Information System (2015-2019) from the University of Mumbai, India – Research Area: Data Science.
  • 📜 PhD in Computer Science (2011-2015) from SJJT University, India – Research Area: Machine Learning.
  • 📜 Master of Technology (M. Tech) in Computer Science and Engineering (2004-2006) from AAI-Deemed University, Allahabad, India.
  • 📜 Master of Computer Application (MCA) (1995-1998) from Institute of Science, Banaras Hindu University (BHU), India.
  • 📜 Graduation (Statistics-Hons) (1990-1993) from the Department of Mathematics and Statistics, MG Kashi Vidyapeeth University, India.

Data Science Certifications and Training

  • 🎓 Machine Learning, Stanford University, USA (2020)
  • 🎓 IBM Data Science Professional Certificate (2020)
  • 🎓 Data Science and Big Data Analytics (2019), ICT Academy, Govt. of India
  • 🎓 Security Fundamentals, Microsoft Technology Associate (2017)
  • 🎓 Intelligent Multimedia Data Warehouse and Mining (2009), University of Mumbai
  • 🎓 Python Programming (2017), University of Mumbai, India

 

Teaching Interest 

  • 📘 Data Science/Machine Learning
  • 📘 Database 📘 C/C++/Python Programming Languages
  • 📘 Software Engineering

Research Interest

  • 🔍 Machine Learning
  • 🔍 Data Science

Computer Science/Data Science Skills

💻 Machine Learning, Data Visualization, Big Data Analytics

📊 Predictive Modelling: Supervised Learning (Linear and Logistic Regression, Decision Tree, Support Vector Machine (SVM), Naïve Bayes Classifiers), Unsupervised Learning (K-Means clustering, principal components analysis (PCA))

💻 Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn), SPSS, R-Programming

💻 Operating Systems/Platforms: UNIX/LINUX, WINDOWS, MS-DOS

💻 C/C++, CORE JAVA Programming Languages

💻 DBMS/RDBMS: Oracle, SQL, MySQL, NoSQL

Publication top notes

  • Improving migration forecasting for transitory foreign tourists using an Ensemble DNN-LSTM model
    Authors: Nanjappa, Y., Kumar Nassa, V., Varshney, G., Pandey, S., V Turukmane, A.
    Journal: Entertainment Computing
    Year: 2024
    Citations: 0 📅
  • Using social networking evidence to examine the impact of environmental factors on social followings: An innovative Machine learning method
    Authors: Murthy, S.V.N., Ramesh, P.S., Padmaja, P., Reddy, G.J., Chinthamu, N.
    Journal: Entertainment Computing
    Year: 2024
    Citations: 0 📅
  • Real-Time Convolutional Neural Networks for Emotion and Gender Classification
    Authors: Singh, J., Singh, A., Singh, K.K., Samudre, N., Raperia, H.
    Conference: Procedia Computer Science
    Year: 2024
    Citations: 0 📅
  • Identification of Brain Diseases using Image Classification: A Deep Learning Approach
    Authors: Singh, J., Singh, A., Singh, K.K., Turukmane, A.V., Kumar, A.
    Conference: Procedia Computer Science
    Year: 2024
    Citations: 0 📅
  • Fake News Detection Using Transfer Learning
    Authors: Singh, J., Sahu, D.P., Gupta, T., Lal, B., Turukmane, A.V.
    Conference: Communications in Computer and Information Science
    Year: 2024
    Citations: 0 📅
  • Reliability Evaluation of a Wireless Sensor Network in Terms of Network Delay and Transmission Probability for IoT Applications
    Authors: Mishra, P., Dash, R.K., Panda, D.K., Lal, B., Sujata Gupta, N.
    Journal: Contemporary Mathematics (Singapore)
    Year: 2024
    Citations: 0 📅
  • TRANSFER LEARNING METHOD FOR HANDLING THE INTRUSION DETECTION SYSTEM WITH ZERO ATTACKS USING MACHINE LEARNING AND DEEP LEARNING
    Authors: Upender, T., Lal, B., Nagaraju, R.
    Conference: ACM International Conference Proceeding Series
    Year: 2023
    Citations: 0 📅
  • Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro- and Macro-analysis in Hardware Support Packages
    Authors: Lal, B., Chinthamu, N., Harichandana, B., Sharmaa, A., Kumar, A.R.
    Journal: SN Computer Science
    Year: 2023
    Citations: 0 📅
  • An Efficient QRS Detection and Pre-processing by Wavelet Transform Technique for Classifying Cardiac Arrhythmia
    Authors: Lal, B., Gopagoni, D.R., Barik, B., Kumar, R.D., Lakshmi, T.R.V.
    Journal: International Journal of Intelligent Systems and Applications in Engineering
    Year: 2023
    Citations: 0 📅
  • IOT-BASED Cyber Security Identification Model Through Machine Learning Technique
    Authors: Lal, B., Ravichandran, S., Kavin, R., Bordoloi, D., Ganesh Kumar, R.
    Journal: Measurement: Sensors
    Year: 2023
    Citations: 3 📅📈

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. 📖🎓👨‍🏫

Professional profile

Education📚

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%. 📜👨‍🎓

Professional Experience🏛️

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. 🎓🏅📘

Research Interest🌐

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. 📷🤖📈

Awards and Honors🏆

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. 🌟📜👏

Research skill🔬

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. 🔧📊🤖

Achievements🏅
  • 🎓 Successfully earned a Ph.D. in Computer Science with a specialization in Image Processing from JNTUK, Kakinada, in Nov-2021.
  • 🏅 Secured M.Tech. (Computer Science and Engineering) with 73.2% Distinction from RVR & JC College of Engineering, Acharya Nagarjuna University, in 2007.
  • 📜 Completed M.Sc. in Computer Science with 65.1% First Class from Ideal Degree College, Andhra University, in 2004.
  • 👨‍🏫 Accumulated 16 years of teaching experience across multiple prestigious institutions.
  • 🏆 Ratified as an Assistant Professor by JNT University, Hyderabad in 2009, 2018, and 2019, and by JNT University, Kakinada in 2010.
  • 🔍 Developed advanced image processing algorithms integrating machine learning and AI techniques.
  • 📚 Contributed significantly to the academic community through innovative research and publications.
  • 💼 Currently serving as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, since Dec-2020.
  • 🌟 Recognized for excellence in both teaching and research within the computer science field.
Projects🛠️
  • 📷 Advanced Image Processing Techniques: Developed algorithms for enhanced image analysis and recognition, integrating machine learning and AI methodologies.
  • 🧠 AI-Driven Medical Imaging Solutions: Created innovative solutions for medical imaging to improve diagnostic accuracy using AI and computer vision.
  • 🤖 Machine Learning in Pattern Recognition: Led a project focused on applying machine learning techniques for advanced pattern recognition in various applications.
  • 🌍 Environmental Monitoring Systems: Developed systems for real-time environmental monitoring using image processing and remote sensing technologies.
  • 🚗 Autonomous Vehicle Navigation: Contributed to the development of navigation systems for autonomous vehicles, leveraging computer vision and sensor fusion.
  • 🔍 Security Surveillance Enhancement: Implemented advanced image processing techniques to enhance the capabilities of security surveillance systems.
  • 📊 Big Data Analysis for Image Processing: Worked on projects involving the analysis and processing of large datasets to improve image processing algorithms.
  • 🔧 Software Tools for Image Analysis: Developed user-friendly software tools to facilitate the analysis and manipulation of digital images for various applications.
  • 🌟 Interdisciplinary Research Projects: Engaged in interdisciplinary projects combining computer science with other fields to address complex research challenges.
  • 💡 Innovation in Educational Technology: Created educational tools and platforms utilizing image processing to enhance learning experiences in computer science education.
Publications top noted📜
  • 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 📉
  • 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 📈
  • Second Order Derivative Cross Diagonal Matrix Approach for CBIR
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2020
    • Citations: 0 📉
  • A New Framework for CBIR Using Odd and Even Tetra Texton Matrix
    • Authors: Srinivas, B., Krishna, V.V., Sumalatha, L.
    • Year: 2020
    • Citations: 2 📈
  • Advanced Local Direction Cross Diagonal Matrix
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2019
    • Citations: 4 📈

Anup Burange | Computer Science | Best Researcher Award

Published on by Global Scholar Awards

Dr. Anup Burange | Computer Science | Best Researcher Award

Assistant Professor of Prof. Ram Meghe Institute of Technology & Research, Badnera, India

Dr. Anup W. Burange is an esteemed academic based in Amravati, Maharashtra, India. He serves as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research 👩‍🏫. With a Ph.D. in Computer Science & Engineering from SGB Amravati University 🎓, he excels in teaching core IT subjects and has published around 20 articles 📚. As a departmental Training & Placement coordinator, he has engaged over 50 companies for campus placements 🎓. Dr. Burange’s dedication is reflected in consistently high student evaluations 📈 and his extensive technical expertise 🤖📊.

Professional profile
Education📚

Dr. Anup W. Burange has an impressive educational background in the field of Information Technology. He earned his Ph.D. in Computer Science & Engineering from SGB Amravati University in February 2024 🎓. Prior to that, he completed his Master of Engineering in Information Technology at Prof. Ram Meghe Institute of Technology & Research, Amravati, Maharashtra, in June 2014, achieving an aggregate pointer of 8.38 🎓. He also holds a Bachelor of Engineering degree in Information Technology from Sipna’s College of Engineering & Technology, Amravati University, Maharashtra, which he completed in June 2011 with an aggregate of 69.14% 🎓. Dr. Burange’s academic journey began with his Higher Secondary Certificate (HSC) from the Maharashtra State Board, where he scored 73% 📜, followed by his Secondary School Certificate (SSC) from the same board, with a score of 76.66% 📜

Professional Experience🏛️

Dr. Anup W. Burange has extensive professional experience as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research in Badnera-Amravati, Maharashtra, India, a position he has held since November 2011 👩‍🏫. He teaches core IT subjects such as Computer Architecture & Organization, Operating Systems, and various programming languages (C, C++, Java, Python) 📚. As the departmental Training & Placement coordinator since 2014, Dr. Burange has successfully engaged over 50 companies for campus placements 🎓. He consistently receives high student evaluations, with scores exceeding 85% over the past four years 📈. Additionally, he has published about 20 articles in reputed journals and guided more than 50 students in their final year projects 👨‍💻. He also served as a masking officer for end semester examinations 📝.

Research Interest🌐

Dr. Anup W. Burange’s research interests lie in the realms of Information Technology and Computer Science, with a strong focus on emerging technologies. He is deeply engaged in exploring advancements in Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊. His work also delves into the development and optimization of programming languages like C, C++, Java, and Python 🐍. Dr. Burange is passionate about enhancing educational methodologies and integrating innovative technological solutions in IT education 🎓. His commitment to research is reflected in his numerous publications and contributions to reputable journals 📚.

Awards and Honors🏆

Dr. Anup W. Burange has been recognized for his exemplary contributions to academia and research with several awards and honors 🏆. He has consistently achieved student evaluations exceeding 85% over the past four years, highlighting his dedication to teaching excellence 📈. As a testament to his research prowess, Dr. Burange has published approximately 20 articles in well-reputed journals 📚. His efforts in facilitating campus placements have also been commendable, successfully engaging over 50 companies for Prof Ram Meghe Institute of Technology & Research 🎓. Dr. Burange’s accolades reflect his commitment to advancing the field of Information Technology and education.

Research skill🔬

Dr. Anup W. Burange possesses a robust set of research skills in the field of Information Technology and Computer Science. He is proficient in Artificial Intelligence 🤖 and Machine Learning 📈, with a keen ability to apply these technologies to real-world problems. Dr. Burange excels in programming languages such as C, C++, Java, and Python 🐍, leveraging these skills for data analysis and algorithm development. His expertise extends to Data Science 📊, where he employs statistical methods and data visualization techniques. Dr. Burange is also adept at academic writing and publishing, with around 20 articles in reputed journals 📚, showcasing his ability to conduct and disseminate impactful research.

Achievements🏅
  • 🏆 High Student Evaluation Scores: Consistently received student evaluations exceeding 85% over the past four years 📈.
  • 🎓 Successful Campus Placements: Engaged over 50 companies for campus placements at Prof Ram Meghe Institute of Technology & Research.
  • 📚 Research Publications: Published around 20 articles in well-reputed journals, contributing significantly to the field of Information Technology.
  • 👨‍💻 Guided Final Year Projects: Supervised more than 50 student final year projects, focusing on innovative IT solutions and technologies.
  • 📝 Academic Leadership: Served as a masking officer for end semester examinations, demonstrating leadership and organizational skills.
Projects🛠️
  • 🧑‍💻 Student Final Year Projects: Guided over 50 student projects on topics such as Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊.
  • 💻 Programming Solutions Development: Worked on projects involving optimization and development using programming languages like C, C++, Java, and Python 🐍.
  • 📊 Data Visualization Tools: Developed tools for effective data visualization and analysis.
  • 🕵️‍♂️ Real-Time Detection Systems: Contributed to projects involving real-time detection and monitoring systems.
  • 📚 Educational Methodologies: Implemented innovative approaches to enhance IT education and practical learning experiences.
Publications📜
  • Article
    Title: Safeguarding the Internet of Things: Elevating IoT routing security through trust management excellence
    Authors: Burange, A.W., Deshmukh, V.M., Thakare, Y.A., Shelke, N.A.
    Journal: Computer Standards and Interfaces
    Year: 2025
    Citations: 0 🔍
  • Book Chapter
    Title: Different Security Breaches in Patients’ Data and Prevailing Ways to Counter Them
    Authors: Burange, A.W., Deshmukh, V.M.
    Book: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
    Year: 2024
    Pages: 149–159
    Citations: 0 🔍
  • Article
    Title: Securing IoT Attacks: A Machine Learning Approach for Developing Lightweight Trust-Based Intrusion Detection System
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: International Journal on Recent and Innovation Trends in Computing and Communication
    Year: 2023
    Volume: 11(7), pp. 14–22
    Citations: 0 🔍
  • Article
    Title: Trust based secured Routing system for low powered networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: Journal of Integrated Science and Technology
    Year: 2023
    Volume: 11(1), 431
    Citations: 2 🔍
  • Conference Paper
    Title: Detection of Rank, Sybil and Wormhole Attacks on RPL Based Network Using Trust Mechanism
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: CEUR Workshop Proceedings
    Year: 2021
    Volume: 3283, pp. 152–162
    Citations: 1 🔍
  • Conference Paper
    Title: Secured Routing System for Low Energy Networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: Lecture Notes in Networks and Systems
    Year: 2021
    Volume: 164, pp. 165–173
    Citations: 0 🔍
  • Conference Paper
    Title: Implementation of security algorithm and achieving energy efficiency for increasing lifetime of wireless sensor network
    Authors: Misalkar, H., Nikam, U., Burange, A.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 298–307
    Citations: 0 🔍
  • Conference Paper
    Title: Security in MQTT and CoAP Protocols of IoT’s application layer
    Authors: Burange, A., Misalkar, H., Nikam, U.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 273–285
    Citations: 2 🔍
  • Conference Paper
    Title: Increasing lifespan and achieving energy efficiency of wireless sensor network
    Authors: Misalkar, H.D., Burange, A.W., Nikam, U.V.
    Conference: 2016 International Conference on Information Communication and Embedded Systems (ICICES 2016)
    Year: 2016
    Citations: 3 🔍
  • Conference Paper
    Title: Review of Internet of Things in development of smart cities with data management & privacy
    Authors: Burange, A.W., Misalkar, H.D.
    Conference: 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA 2015)
    Year: 2015
    Pages: 189–195
    Citations: 48 🔍