pellakuri vidyullatha | Computer Vision | Excellence in Research

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Dr .pellakuri vidyullatha | Computer Vision | Excellence in Research

Associate Professor, Koneru Lakshmaiah Education Foundation, India

🔬 Short Biography 🌿💊📚

Dr. Pellakuri Vidyullatha is an Associate Professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation (K L Deemed-to-be University), India. She holds a Ph.D. in Computer Science, with her research centered on advanced topics in artificial intelligence, machine learning, data mining, and neural networks. Dr. Vidyullatha has contributed extensively to the field through numerous research publications, particularly focusing on applications of deep learning and image segmentation techniques, including recent work on gastrointestinal tract imaging. She is also actively involved in guiding postgraduate and doctoral students, playing a significant role in academic mentorship and research supervision at the university. Her commitment to quality teaching and impactful research has earned her recognition within the academic community. Dr. Vidyullatha continues to advance knowledge in computational intelligence, contributing to both theoretical developments and practical innovations in AI and data science.

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Scopus

🎓 Education

Dr. Pellakuri Vidyullatha holds dual Post-Doctoral Fellowships in Artificial Intelligence—from the University of South Florida, USA (2023–2025) under Dr. Bhuvan Unhelkar, and the Industrial University of Ho Chi Minh City, Vietnam (2022–2023) under Dr. Bui Thanh Hung. She earned her Ph.D. in Computer Science and Engineering from Koneru Lakshmaiah Education Foundation in 2017, after completing her M.Tech in Computer Science and Technology with distinction (82%) from JNTU Anantapur in 2012. Her educational background is deeply rooted in AI, machine learning, and data science, with a continuous commitment to advancing academic excellence and research acumen.

💼 Professional Experience

With over 20 years of academic and research experience, Dr. Vidyullatha is currently an Associate Professor in the Department of Computer Science Engineering at KL University, Andhra Pradesh, since 2017. Prior to that, she served as Assistant Professor at Narayana Engineering College (2006–2017). She has also completed prestigious postdoctoral fellowships in the USA and Vietnam, focusing on computer vision, deep learning, and natural language processing. Dr. Vidyullatha has successfully organized and contributed to numerous international conferences, workshops, and faculty development programs, and she has played key roles in NAAC, NBA, and NIRF-related institutional development.

🛠️ Skills and Editorial Roles

Dr. Vidyullatha specializes in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Quantum Machine Learning, and Big Data Analytics. She is proficient in tools like Python, TensorFlow, Keras, PyTorch, Tableau, and the Hadoop ecosystem. Her pedagogical strengths include flipped learning, inquiry-based learning, project-based learning, and collaborative instruction models. She also holds numerous global certifications from platforms such as Google Cloud, Microsoft Azure, Oracle, and Cisco Networking Academy, and actively participates in global AI challenges on Kaggle and TechGig.

🏅 Awards and Recognition

Dr. Vidyullatha is a multi-award-winning academic, recognized with honors such as the Best Teacher Award (2021–2023) by KL University, Dr. Sarvepalli Radhakrishnan Best Teacher Award, Inspiring Women Award (2023), and the Outstanding Post Doctoral Fellow Award (2023) by Novel Research Academy. She has been appreciated as a keynote speaker, technical session chair, and guest lecturer at various national and international platforms. She also serves as a reviewer for IEEE, InderScience, IJIRST, and other reputed journals and conferences.

Research Focus

Dr. Vidyullatha’s research is centered on advanced AI systems, deep learning models, computer vision, and NLP applications in healthcare, agriculture, and cybersecurity. Her work also spans big data analytics, graph-based algorithms, and recommender systems. With over 72 SCOPUS-indexed publications, 480 citations, and an h-index of 10, she has significantly contributed to scholarly literature. Her most recent works include topics such as emoji-based sentiment analysis, cancer prediction using AI, blockchain communication in IoT, and optimized machine learning models for image segmentation and information retrieval.

🏁conclusion:

In conclusion, Dr. Pellakuri Vidyullatha is highly deserving of the “Excellence in Research” Award. Her commitment to advancing cutting-edge technologies, mentoring future talent, and contributing to the global research community reflects the very essence of this award. With minor enhancements in high-impact publications and funded projects, her profile would be even more formidable on a global scale.

MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

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Mr.MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr , MD. HUMAUN KABIR, Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University,Bangladesh.

Mr. MD. Humaun Kabir is a distinguished faculty member in the Department of Computer Science and Engineering at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Bangladesh. He is dedicated to advancing computer science education and research, with a focus on cutting-edge technologies and innovations that drive the field forward. Through his commitment to academic excellence, Mr. Kabir continues to inspire and mentor the next generation of engineers and computer scientists.

Summary:

  • Achieved a high CGPA in both M.Sc. (3.88) and B.Sc. (3.82) in Engineering, indicating strong academic performance.
  • Consistently strong performance throughout academic life, with excellent results in HSC and SSC.

Professional Profiles:

Google Scholar

Education :

Md. Humaun Kabir completed his M.Sc. in Engineering with a specialization in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, earning an impressive CGPA of 3.88 on a 4.00 scale. He also holds a B.Sc. in Engineering from the same department, achieved in 2014, with a CGPA of 3.82 on a 4.00 scale. Prior to his university education, he excelled in his secondary and higher secondary studies, achieving a GPA of 5.00 in HSC from Police Line’s School & College, Kushtia (Jashore Board) in 2010, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga (Jashore Board) in 2008. Notably, on December 24, 2018, the Department of Applied Physics and Electronic Engineering was renamed to the Department of Electrical and Electronic Engineering.

Work Experience:

With a professional career spanning around seven years, Md. Humaun Kabir has served in multiple academic roles. He began as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science & Technology, Bogura, where he worked from May 23, 2017, to February 9, 2019. He then continued as a Lecturer at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University (BSFMSTU), Jamalpur, from February 10, 2019, to February 19, 2022. He was promoted to Assistant Professor at the same institution on February 20, 2022, and later took on the additional role of Chairman of the Department of Computer Science and Engineering on April 9, 2022. Additionally, he holds the position of Additional Director (In-charge) of the ICT Cell at BSFMSTU, where he has been serving since April 12, 2022.

Research Focus :

Md. Humaun Kabir’s research interests encompass a broad spectrum of topics, including Signal/Image Processing, Computer Vision, Brain-Computer Interfaces (BCI), Human-Computer Interaction (HCI), and Biomedical Engineering. He is also passionate about Wireless Communication & Networks, and his work extends into the realms of Machine Learning & Deep Learning. His research endeavors have led to several significant contributions to the field, with a focus on enhancing performance in BCI systems and improving wireless communication systems.

Skills:

Throughout his career, Md. Humaun Kabir has developed a robust technical skillset. He is proficient in programming languages such as MATLAB, Python, C, and C++, and has expertise in using LaTeX and Overleaf for academic writing. His technical repertoire is further enriched by his experience with the Internet of Things (IoT) and embedded systems, as well as networking knowledge gained through Cisco Certified Network Associate (CCNA) training.

 Awards:

Md. Humaun Kabir has been recognized for his outstanding academic and professional achievements. He received the prestigious Dean’s Award during both his B.Sc. and M.Sc. Engineering programs from the Faculty of Engineering at the University of Rajshahi. Additionally, he was awarded a Merit Scholarship from the University of Rajshahi for his academic excellence. His research excellence has been further acknowledged through his involvement in various government and university-funded research projects, including a current project on EEG-based motor imagery tasks classification for BCI systems.

Conclusion:

Md. Humaun Kabir demonstrates strong potential as a researcher, with a solid academic foundation, relevant research interests, and considerable teaching and administrative experience. However, to strengthen his candidacy for the Best Researcher Award, it would be beneficial to have a more robust record of research publications, greater international collaboration, and evidence of securing research funding. Addressing these areas could make him a more competitive candidate for the award.

Publications :

  • Title: Strain-driven optical, electronic, and mechanical properties of inorganic halide perovskite CsGeBr3
    Authors: MR Islam, MRH Mojumder, R Moshwan, ASMJ Islam, MA Islam
    Source: ECS Journal of Solid State Science and Technology, 11(3), 033001
    Year: 2022
    Citations: 42

 

  • Title: Investigating feature selection techniques to enhance the performance of EEG-based motor imagery tasks classification
    Authors: MH Kabir, S Mahmood, A Al Shiam, AS Musa Miah, J Shin, MKI Molla
    Source: Mathematics, 11(8), 1921
    Year: 2023
    Citations: 21

 

  • Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
    Authors: MI Hossain, MT Ahmed, MH Kabir
    Source: International Journal of Engineering and Manufacturing, 12(4), 46-52
    Year: 2022
    Citations: 10

 

  • Title: Smart attendance and leave management system using fingerprint recognition for students and employees in academic institute
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: International Journal of Scientific & Technology Research, 10(6), 268-276
    Year: 2021
    Citations: 10

 

  • Title: IoT based solar powered smart waste management system with real-time monitoring – An advancement for smart city planning
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: Global Journal of Computer Science and Technology, 20(5), 11-20
    Year: 2020
    Citations: 9

 

  • Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
    Authors: MH Kabir, F Ahmad, MAM Hasan, J Shin
    Source: Applied Sciences, 13(1), 522
    Year: 2022
    Citations: 7

 

  • Title: Secured voice frequency signal transmission in 5G compatible multiuser downlink MIMO NOMA wireless communication system
    Authors: MH Kabir, J Rahman, SE Ullah
    Source: International Journal of Networks and Communications, 8(4), 97-105
    Year: 2018
    Citations: 6

 

  • Title: A neural attention-based encoder-decoder approach for English to Bangla translation
    Authors: AA Shiam, SM Redwan, MH Kabir, J Shin
    Source: Computer Science Journal of Moldova, 91(1), 70-85
    Year: 2023
    Citations: 5

 

  • Title: Web-based student registration and exam form fill-up management system for educational institutes
    Authors: MT Ahmed, MH Kabir, S Roy
    Source: International Journal of Information Engineering and Electronic Business
    Year: 2022
    Citations: 5

 

  • Title: Design and implementation of web-based smart class routine management system for educational institutes
    Authors: S Roy, MH Kabir, MT Ahmed
    Source: International Journal of Educational Management Engineering, 12(2), 38-48
    Year: 2022
    Citations: 4

 

  • Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
    Authors: J Shin, ASM Miah, MH Kabir, MA Rahim, AA Shiam
    Source: arXiv preprint arXiv:2408.05436
    Year: 2024
    Citations: 1

 

  • Title: Design of a High-Gain 2× 1 Array Antenna for S-Band Applications
    Authors: MI Hossain, MA Islam, MT Ahmed, MH Kabir
    Source: World Journal of Engineering and Technology, 11(2), 293-302
    Year: 2023
    Citations: 1