Faculty

Assistant Professor, Centre for Data Science Ph.D: Rajendra Mishra School of Engineering Entrepreneurship (Pursuing), IIT Kharagpur, India Email: bijitaswac@jisiasr.org Linked-In: www.linkedin.com/in/bijitaswa-chakraborty-b5a223134 Google scholar: https://scholar.google.com/citations?user=ly243pIAAAAJ&hl=en Ph.D: Rajendra Mishra School of Engineering Entrepreneurship (Pursuing), IIT Kharagpur, India M.Tech: School of computer Engineering, Kalinga Institute of Industrial Technology (KIIT University), Bhubaneswar, India B.Tech: Department of Information Technology, Govt. College of Engineering and Ceramic Technology, West Bengal University of Technology, Kolkata, India Professional Engagements: Assistant Professor at Department of Computer Science and Engineering, Institute of Science and Technology (West Bengal University of Technology), August, 2016 – January, 2017. Assistant Professor at Department of Business Analytics and Fintech, GITAM School of Business, GITAM (Deemed to be University), 1st December, 2022- 30th June, 2023. Assistant Professor at JIS Institute of Advanced Studies and Research, Kolkata, India, 1st August, 2023- Present Research topics: Financial and business Analytics, Text analytics, Sports analytics, Healthcare analytics Research focus: Business analytics: Business analytics is a broad research area that focuses on using data and statistical techniques to improve business decision making and drive organizational success. It involves analyzing past and present data to identify patterns, trends, and insights that can guide future decision making. This research area encompasses a wide range of techniques, such as data mining, predictive analytics, and business intelligence, and incorporates both quantitative and qualitative data analysis. Business analytics has become increasingly important in today’s fast-paced and data-driven business environment, as companies look for ways to streamline operations, optimize performance, and gain a competitive edge. Key areas of focus in business analytics research include data management, data visualization, and the development of advanced analytical models and tools. As the field continues to evolve, there is a growing emphasis on incorporating emerging technologies such as artificial intelligence and machine learning into business analytics processes. Overall, business analytics research aims to help organizations make data-driven decisions that lead to improved performance and greater success in today’s highly competitive business landscape. Healthcare analytics: Healthcare analytics is an emerging area of research that combines healthcare and data analysis to identify patterns and insights in health data. It involves using various statistical techniques, data mining, and predictive modeling to extract useful information from large and complex datasets in the healthcare field. This information can help healthcare organizations to make informed decisions, improve patient outcomes, and reduce costs. The research in this area focuses on understanding the challenges and opportunities in applying analytics to healthcare data, developing and evaluating algorithms and tools for data processing and analysis, and studying the impact of analytics on decision-making in healthcare. It also explores the ethical implications and privacy concerns in handling sensitive healthcare data. The ultimate goal of healthcare analytics research is to provide evidence-based insights that can improve the efficiency, quality, and safety of healthcare delivery. As technological advancements continue to generate an explosion of health data, healthcare analytics is becoming increasingly important and has the potential to revolutionize the healthcare industry. My research involves the following research areas: Achievements: All India Rank 97 in KIITEE (Computer Science), 2013 for M.Tech admission in KIIT University MHRD Doctoral Scholarship (January 2017 – December 2021), MHRD, Govt. of India Travel grants: Full conference and travel grant by MHRD for attending Annual ISDSI conference 2019 in Bhubaneswar, India Full conference and travel grant by MHRD for attending 29th Global Finance Conference in Braga, Portugal in June, 2022 Publications: Journals: Chatterjee, M., Bhattacharjee, T., Chakraborty, B., Daim, T., & Kupeli, B. (2024). Exploring Corporate Governance on Post-IPO Performance of R&D Intensive New Public Firms. Journal of Engineering and Technology Management, 71, 101796. Chatterjee, M., Bhattacharjee, T., & Chakraborty, B. (2023). Studies on Indian IPO: systematic review and future research agenda. Qualitative Research in Financial Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/QRFM-10-2021-0175 Chakraborty, B., Chatterjee, M., & Bhattacharjee, T. (2023). Impact of analyst report on the behavior of retail investors: a study during COVID-19 in India. Journal of Financial Reporting and Accounting, 21(5), 1188-1205. Chakraborty, B., & Bhattacharjee, T. (2020). A review on textual analysis of corporate disclosure according to the evolution of different automated methods. Journal of Financial Reporting and Accounting, 18(4), 757-777. Conferences: Chakraborty B and Bhattacharjee T, “Content Analysis of Corporate Disclosure for Capturing Market Sensitive Information: A Review of Literature”, presented in Management Doctoral Colloquium and VGSOM Research Scholar’s Day (MDC & VRS 2019), IIT Kharagpur, Jan, 2019. Chakraborty B and Bhattacharjee T, “An empirical model to analyse MD&A disclosure in annual report: An impression management approach in Indian context”, presented in 13th Annual ISDSI Conference, IIM Sambalpur, Dec, 2019. Chakraborty B and Bhattacharjee T, “Do managers engage in impression management? A study in Indian context”, presented in Management Doctoral Colloquium and VGSOM Research Scholar’s Day (MDC & VRS 2020), IIT Kharagpur, Jan, 2020. Chakraborty B and Bhattacharjee T, “Tone of MD&A disclosure in the integrated reporting: Incremental information or Impression management?”, presented in Strategic Management Forum, IIM Nagpur, Dec, 2021. Chakraborty B and Bhattacharjee T, “Does management provide value relevant incremental information or engage in impression management: A study based on CSR disclosure in the Indian context”, presented in Strategic Management Forum, IIM Nagpur, Dec, 2021. Chakraborty B and Bhattacharjee T, “Does the information in the CSR disclosure designate value relevance or impression management: a content analysis approach in the Indian Context”, presented in Global Finance Conference, University of Minho, Braga, Portugal, June, 2022.

Assistant Professor Ph.D. in Biomedical Signal Processing Indian Institute of Technology Kharagpur, Kharagpur Email:kasturibarik.iitkgp@gmail.com LinkedIn:https://www.linkedin.com/in/kasturi-barik-094b7966/ GoogleScholar:https://scholar.google.com/citations?user=CzXQz5sAAAAJ&hl=en Ph.D.:Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur M.S. (by Research):Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur B.Tech.:Department of Electronics and Communication Engineering, West Bengal University of Technology, West BengalProfessional Engagements: April 2024 – Present: Assistant Professor, Centre for Data Science, JIS Institute of Advanced Studies and Research, Kolkata, India. January – April 2019; 2020; 2021; 2022; 2023: Teaching Assistant, NPTEL SWAYAM, India. April 2015 – June 2018: Junior Project Officer (JPO), IIT Kharagpur, Ministry of Human Resource Development, Govt. of India (MHRD), India. November 2013–March2015: Junior Project Officer (JPO), IIT Kharagpur, Ministry of Health and Family Welfare, Govt.of India (MoHFW), India. Research Topics: Neuro-signal processing, Machine learning, Bio-medical signal, Statistical methods, Deep learning, Cognitiveneuroscience, Pattern recognition, Digital SignalProcessing. Summary of Research Activities: Awards & Achievements: Publications: Journal: Conferences: Saha, U., Barik, K., De, A., 2023, “Fusion of Spectral and Connectivity Features to Detect Depressive Disorder using EEG Signals”. In 3rd IEEE Conference on Applied Signal Processing (ASPCON), West Bengal, India, 25-26 November 2023. Methodologies in Biomedical and Health Care, 2022 Journal: DOI : https://doi.org/10.1007/s12539-020-00412-5 DOI : https://doi.org/10.1016/j.asoc.2021.107347Conferences:

Assistant Professor Ph.D: Department Of Computer Science And Technology, IIEST Shibpur, India Email: chirantana@jisiasr.org Linked-In:https://www.linkedin.com/in/chirantana-mallick-phd-0a0848b5/ GoogleScholar: https:https://scholar.google.com/citations?user=9zppzdgAAAAJ&hl=enPh.D.: Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, IndiaM.Tech.: Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, IndiaB.E.: Department of Computer Science and Engineering, Burdwan University, IndiaProfessional Engagements:April 2023 – Present: Assistant Professor, Centre For Data Science, JIS Institute of Advanced Studies and Research, Kolkata, India.2015 – 2016: Junior Software Engineer, Nature Technology Pvt. Ltd., Kolkata, India.Research Topics:Natural Language Processing (NLP), Bio-Natural Language Processing (Bio-NLP), Machine Learning, Deep Learning, Text miningResearch Focus:Natural Language Processing (NLP):The research goal in NLP is to advance the understanding, generation, and interaction with natural language through computational methods. This involves developing innovative algorithms and models that enhance language understanding, sentiment analysis, machine translation, and information retrieval. The objective is to create more efficient, accurate, and contextually aware NLP systems that can handle diverse languages and tasks.Biological Natural Language Processing (Bio-NLP):The research goal in Bio-NLP (Biological Natural Language Processing) is to leverage natural language processing techniques and methodologies to extract, analyze, and understand biological and biomedical information from vast amounts of textual data. This involves developing specialized algorithms and models that can accurately extract relevant information from scientific literature, electronic health records, and biological databases. The objective is to advance the field of bioinformatics by automating the curation and integration of biological knowledge from diverse sources, enabling accelerated biomedical research and drug discovery. Additionally, the research aims to improve clinical decision support systems by extracting actionable insights from patient records and medical literature.Awards & Achievements: Publications:Book Chapter: DOI : https://doi.org/10.1007/978-3-030-74761-9_2 Methodologies in Biomedical and Health Care, 2022 Journal: DOI : https://doi.org/10.1007/s12539-020-00412-5 DOI : https://doi.org/10.1016/j.asoc.2021.107347Conferences:

BE (Jadavpur University), M.Tech (IIT Roorkee), PhD (IIT Roorkee)