Sangeeta Parshionikar – Deep Learning – Best Researcher Award

Mrs Sangeeta Parshionikar - Deep Learning - Best Researcher Award 

Fr. Conceicao Rodrigues College of Engineering - India

Author Profile

Early Academic Pursuits

Mrs. Sangeeta Parshionikar began her academic journey by obtaining her Bachelor's degree in Electronics and Power Engineering from Shri. Ramdeobaba Kamla Nehru Engineering College, Nagpur University, where she graduated with a commendable 72.8%. She further pursued her Master's in Electronics from Mumbai University, where she secured a distinction with 75.56%. Her interest in the field led her to specialize further with a diploma in Oracle 8.0 with Visual Basic 6.0 from SSI Nagpur and VLSI Design from CDAC Hyderabad.

Professional Endeavors

Mrs. Parshionikar's professional journey spans over 16 years in the field of education and 3 years in the industry, focusing on VLSI Design. Her industry experience includes roles at esteemed organizations like PowaiLabs Pvt. Ltd., Taray Technology Pvt. Ltd., and STRATeL Microsystems Pvt. Ltd. in Mumbai, Hyderabad, and Delhi, respectively. Currently, she serves as an Assistant Professor at Fr. Conceicao Rodrigues College of Engineering, Mumbai, teaching subjects like IoT, Basic VLSI Design, and ASIC Verification.

Contributions and Research Focus

Her contributions to academia are vast and varied. Mrs. Parshionikar has published several research papers, notably in areas such as deep learning applications for healthcare, VLSI design techniques, and IoT innovations. She has been recognized with multiple minor research grants from the University of Mumbai for her innovative projects, including Smart Air Pollution Monitoring and Stock Market Forecasting using Neural Networks. Additionally, she has filed several patents, including a groundbreaking concept for verbal agreement signing using blockchain and speech recognition.

Accolades and Recognition

Mrs. Parshionikar's dedication to her field has earned her numerous accolades, including appreciations from her college for successfully coordinating workshops and FDPs. She has delivered talks on various topics, from Verilog Programming to Branding for Startups, showcasing her versatility and expertise. Moreover, she has been an active member of several professional bodies, including ISTE, and has served as a reviewer for multiple international conferences.

Impact and Influence

With over 20 years of experience in the academic and industry sectors, Mrs. Parshionikar's influence extends beyond her immediate role. Her research and innovations have the potential to reshape industries, particularly in areas such as healthcare, finance, and environmental monitoring. Her leadership in coordinating various initiatives, including being a convocation coordinator and B.E. project coordinator, reflects her commitment to fostering excellence in education and research.

Legacy and Future Contributions

Mrs. Parshionikar's legacy lies in her relentless pursuit of knowledge dissemination, innovation, and mentorship. As she continues her Ph.D. journey and expands her research endeavors, she aims to contribute further to the scientific community. Her focus on emerging technologies like deep learning, IoT, and VLSI design positions her at the forefront of academic research. Moving forward, she aspires to develop more groundbreaking solutions, mentor future generations, and collaborate on global research initiatives.

In summary, Mrs. Sangeeta Parshionikar's multifaceted career, from her early academic pursuits to her current role as an esteemed educator and researcher, exemplifies dedication, expertise, and a passion for innovation. Her contributions to the field of Computer Engineering, VLSI Design, and Deep Learning make her a distinguished figure, poised to make significant advancements in the scientific community.

Notable Publication

Chengjie Sun – Natural Lanauage processing – Best Researcher Award 

Assoc Prof Dr Chengjie Sun - Natural Lanauage processing - Best Researcher Award 

Harbin Institute of Technology - China

Author Profile:

Early Academic Pursuits

Assoc Prof Dr Chengjie Sun began his academic journey at Yantai University, where he pursued a Bachelor's degree in Computer Science and Technology from 1998 to 2002. Subsequently, he continued his education at Harbin Institute of Technology, achieving a Master's degree in Computer Science and Technology from 2002 to 2004. Later, he furthered his academic pursuits at the same institute, obtaining his Doctorate in Computer Application Technology from 2004 to 2008.

Professional Endeavors

After completing his doctoral studies, Assoc Prof Dr Chengjie Sun embarked on an illustrious professional journey. He joined the Harbin Institute of Technology's School of Computer Science and Technology as a Lecturer from January 2009 to December 2014. In 2013, he expanded his academic horizons by serving as a Visiting Scholar at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). Since January 2015, he has held the position of Associate Professor at the Harbin Institute of Technology.

Additionally, Assoc Prof Dr Chengjie Sun enriched his professional experience by collaborating with renowned institutions and organizations. He served as a Visiting Scholar at Microsoft Research Asia's Natural Language Computing Group from September 2011 to July 2012.

Contributions and Research Focus

Assoc Prof Dr Chengjie Sun's research interests primarily revolve around natural language processing technologies and their applications, recommender systems, and machine learning. His scholarly contributions encompass a wide range of topics, including offensive message identification, explainable dialogue systems, fake news detection, response generation, user modeling, and named entity recognition, among others. Through his extensive peer-reviewed publications in reputable journals and conferences, Chengjie Sun has significantly advanced the field of computer science and technology.

Accolades and Recognition

Assoc Prof Dr Chengjie Sun's exemplary contributions to academia have earned him prestigious accolades and recognition. In 2011, he received the First Prize of the Heilongjiang Science and Technology Award for his work on Sentence Level Pinyin Input Method in a Network Environment. His research endeavors and innovative approaches have consistently garnered acknowledgment from peers and experts in the field.

Impact and Influence

Assoc Prof Dr Chengjie Sun's research and teaching endeavors have had a profound impact on the academic community and industry alike. His publications in leading journals and conferences have contributed to the advancement of natural language processing, machine learning, and recommender systems. Furthermore, his collaborative efforts with esteemed institutions and professional memberships have facilitated knowledge exchange and interdisciplinary collaborations, fostering innovation and growth in the field.

Legacy and Future Contributions

As an Associate Professor at the Harbin Institute of Technology, Chengjie Sun continues to inspire and mentor future generations of computer scientists and researchers. His dedication to advancing knowledge and fostering excellence in research and teaching serves as a testament to his commitment to the academic community. Moving forward, Chengjie Sun's ongoing research endeavors and contributions are poised to shape the future of natural language processing technologies, recommender systems, and machine learning, leaving a lasting legacy in the field.

Citations

Notable Publication