Aniruddha Deka | Computer Science | Best Researcher Award

Published on by World Science Awards

Dr. Aniruddha Deka | Computer Science | Best Researcher Award

Associate Professor at Assam down town University, India.

Dr. Aniruddha Deka is a respected figure in the academic and research community of Computer Science and Engineering, currently holding the position of Associate Dean (Academics) and Associate Professor at Assam down town University, Guwahati, Assam. With an impressive educational background that includes a Ph.D. in Speech Processing from Bodoland University, an M.Tech in IT from Gauhati University, and a B.E in CSE from North Eastern Hill University, Dr. Deka has built a career marked by significant achievements in teaching, research, and administration.

Professional Profiles:

Education:

Dr. Aniruddha Deka has pursued a comprehensive academic journey, culminating in significant achievements across various levels of higher education. His educational endeavors include a Ph.D. in Speech Processing from Bodoland University, earned in 2019, which underscores his specialized expertise in this domain. Prior to this, he obtained a Master’s degree in Information Technology (IT) from Gauhati University in 2012, and a Bachelor’s degree in Computer Science and Engineering (CSE) from North Eastern Hill University in 2006. Dr. Deka’s academic foundation was laid with his Higher Secondary (H.S.) education in Science from the Assam Higher Secondary Education Council in 2002, followed by his High School Leaving Certificate (H.S.L.C) from the Secondary Education Board of Assam (SEBA) in 1999. This rich educational background reflects his commitment to advancing knowledge and expertise in the field of Computer Science and Engineering.

Research Experience:

Dr. Aniruddha Deka has amassed a wealth of research experience across various domains within Computer Science and Engineering. His contributions encompass cutting-edge research in speech processing, where he has delved into innovative methods for analyzing and interpreting speech signals, thereby advancing the fields of speech recognition, synthesis, and understanding. Additionally, Dr. Deka has actively engaged in software development projects during his tenure as an Assistant Project Engineer at IIT Guwahati, demonstrating his ability to design and implement solutions to real-world problems. As an academic leader and Associate Dean (Academics), he has played a pivotal role in fostering a culture of research within his institution, providing mentorship to students and faculty members and promoting interdisciplinary collaborations. Furthermore, his industry experience as an Assistant System Engineer at TCS has equipped him with valuable insights into industry practices, facilitating collaboration between academia and industry. Dr. Deka’s diverse research portfolio underscores his dedication to advancing knowledge and driving innovation in Computer Science and Engineering.

Research Interest:

Dr. Aniruddha Deka’s research interests lie at the intersection of technology and its practical applications, particularly within the realm of Computer Science and Engineering. With a keen focus on speech processing, he seeks to unravel the complexities of analyzing and interpreting speech signals, aiming to enhance speech recognition, synthesis, and understanding technologies. Dr. Deka is also intrigued by the possibilities offered by software development, where he explores innovative solutions to real-world challenges, leveraging his expertise to create impactful tools and systems. Furthermore, as an academic leader, he is deeply committed to fostering a vibrant research culture within his institution, encouraging interdisciplinary collaborations and guiding aspiring researchers towards meaningful contributions in their respective fields. Dr. Deka’s research interests reflect his dedication to pushing the boundaries of knowledge and technology, with a vision to address pressing societal needs and drive positive change through innovative research endeavors.

Award and Honors:

Dr. Aniruddha Deka’s exceptional contributions to Computer Science and Engineering have garnered him recognition and honors throughout his career. His dedication to excellence in teaching, research, and academic leadership has been acknowledged through a variety of awards. These include the Outstanding Researcher Award, which celebrates his significant advancements in speech processing and software development, highlighting his impact on pushing the boundaries of knowledge in the field. Additionally, his role as Associate Dean (Academics) has been honored with the Excellence in Academic Leadership Award, recognizing his efforts in fostering a culture of research and academic excellence within his institution. Dr. Deka’s scholarly work has also been recognized with Best Paper Awards, underscoring the quality and significance of his research contributions. Furthermore, his industry experience and service on academic committees have earned him industry recognition and service awards, reflecting his multifaceted expertise and commitment to both academia and industry. These accolades serve as a testament to Dr. Deka’s outstanding achievements and leadership in Computer Science and Engineering, solidifying his reputation as a respected figure in the field.

Research Skills:

Dr. Aniruddha Deka possesses a diverse set of research skills honed through years of academic and professional experience in Computer Science and Engineering. With a solid foundation in research methodologies acquired during his doctoral and postgraduate studies, Dr. Deka demonstrates proficiency in experimental design, data collection, and statistical analysis. His expertise extends to conducting comprehensive literature reviews, critically evaluating existing research, and identifying gaps in knowledge to inform his own research endeavors. Dr. Deka’s strong analytical skills enable him to derive meaningful insights from complex datasets, contributing to advancements in speech processing and software development. Moreover, his collaborative approach and effective communication skills facilitate interdisciplinary collaborations, fostering innovative research projects that address real-world challenges. As an academic leader, Dr. Deka is committed to mentoring students and guiding them in developing their research skills, ensuring the next generation of researchers is equipped to make significant contributions to the field. Overall, Dr. Aniruddha Deka’s research skills, coupled with his dedication to excellence, position him as a valuable asset to the research community in Computer Science and Engineering.

Publications:

Early diagnosis of rice plant disease using machine learning techniques – M Sharma, CJ Kumar, A Deka, Archives of Phytopathology and Plant Protection, 55 (3), 259-283, 2022. Citations: 61

Assamese spoken query system to access the price of agricultural commodities – S Shahnawazuddin, D Thotappa, BD Sarma, A Deka, SRM Prasanna, et al., 2013 National Conference on Communications (NCC), 1-5, 2013. Citations: 29

Low complexity on-line adaptation techniques in context of Assamese spoken query system – S Shahnawazuddin, KT Deepak, BD Sarma, A Deka, SRM Prasanna, et al., Journal of Signal Processing Systems, 81, 83-97, 2015. Citations: 11

Land cover classification: a comparative analysis of clustering techniques using Sentinel-2 data – M Sharma, CJ Kumar, A Deka, International Journal of Sustainable Agricultural Management and Informatics, 2021. Citations: 8

A Comparative Analysis of Vegetation Radiometric Indices for Classification of Bambusa Tulda using Satellite Imagery – M Sharma, A Deka, International Journal of Computer Sciences and Engineering Open Access, 7 (1), 2019. Citations: 4

Spoken dialog system in Bodo language for agro services – A Deka, MK Deka, Advances in Electronics, Communication and Computing: ETAEERE-2016, 623-631, 2018. Citations: 4

Speaker independent speech based telephony service for agro service using asterisk and sphinx 3 – A Deka, MK Deka, Int. J. Comput. Sci. Eng. Open Access, 4, 47-52, 2016. Citations: 3

A review of physiological signal processing via Machine Learning (ML) for personal stress detection – M Lourens, SM Beram, BB Borah, AP Dube, A Deka, V Tripathi, 2022 2nd International Conference on Advance Computing and Innovative …, 2022. Citations: 2

A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning – P Thapar, M Rakhra, M Alsaadi, A Quraishi, A Deka, JVN Ramesh, Healthcare Analytics, 100326, 2024. Citations:

HandloomGCN: Real-time handloom design generation using Generated Cellular Network – A Das, A Deka, International Journal of Computing and Digital Systems, 16 (1), 1-10, 2024.

 

Aniruddha Deka | Computer Science | Best Researcher Award

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