Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana, Srinivasa Ramanujan Institute of Technology, IndiaΒ 

Dr. B. Hari Chandana is an Associate Professor in the Department of Computer Science and Engineering at Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, India. With over 18 years of teaching experience, she has held academic positions at reputed institutions including Sir C.V. Raman Institute of Technology and Sciences and Nalanda Degree College. She earned her Ph.D. in Computer Science and Technology from Sri Krishnadevaraya University, where her research focused on image processing, specifically the recognition of Indian currency based on texture classification using SVM classifiers. She also holds an M.Tech in Information Technology from Karnataka State Open University and an M.Sc. in Computer Science from Sri Krishnadevaraya University. Dr. Chandana has qualified both the UGC-NET and the AP-SET in Computer Science and Applications, reflecting her strong academic proficiency. Passionate about research and emerging technologies, she continues to contribute to the fields of computer science and image processing through teaching, mentoring, and scholarly work.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. B. Hari Chandana, an accomplished academic with over 18 years of teaching and research experience, is a strong and deserving candidate for the Best Researcher Award. Her career reflects a consistent commitment to advancing the fields of Computer Science, Image Processing, and Artificial Intelligence, as well as mentoring the next generation of researchers and professionals.

πŸŽ“ Education Qualifications

  • 🧠 Ph.D. in Computer Science & Technology
    πŸ“… 2016–2020
    🏫 Sri Krishnadevaraya University, Anantapur, Andhra Pradesh
    πŸ“Œ Research Area: Image Processing
    πŸ“œ Thesis: Security Features of Indian Currency Recognition Based on Texture Classification Using SVM Classifier

  • πŸ’» M.Tech in Information Technology
    πŸ“… 2012–2014
    🏫 Karnataka State Open University, Mysore
    πŸ… Division: Distinction (84.12%)

  • πŸ§‘β€πŸ’» M.Sc. in Computer Science
    πŸ“… 2004–2006
    🏫 Sri Krishnadevaraya University, Anantapur
    πŸ… Division: Distinction (82.4%)

πŸ’Ό Professional Experience

  • πŸ‘©β€πŸ« Associate Professor, Dept. of Computer Science & Engineering
    🏫 Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh
    πŸ“… 2021 – Present

  • πŸ‘©β€πŸ« Assistant Professor, Dept. of CSE
    🏫 Sir C.V. Raman Institute of Technology and Sciences
    πŸ“… June 2013 – March 2016

  • πŸ‘©β€πŸ« Lecturer, Dept. of Computer Science
    🏫 Nalanda Degree College, Anantapur
    πŸ“… June 2006 – May 2013

  • πŸ“š PG Classes Instructor (During Ph.D.)
    🏫 Sri Krishnadevaraya University
    πŸ“… 2016–2020

πŸ•°οΈ Total Teaching Experience: 18+ Years

πŸ† Achievements & Qualifications

  • βœ… Qualified NET (National Eligibility Test)
    πŸ“… June 2020
    πŸ–₯️ Subject: Computer Science & Applications

  • βœ… Qualified AP-SET (Andhra Pradesh State Eligibility Test)
    πŸ“… 2019
    πŸ–₯️ Subject: Computer Science & Applications

PublicationΒ Top Notes:

CITED:9
CITED:4
CITED:2
CITED:1
CITED:1
CITED:1

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference