Welcome to the Home Page of Aparna Varde
Dr. Aparna Varde has a Ph.D. in Computer Science from Worcester Polytechnic Institute (WPI) in
Massachusetts. She is a tenured Associate Professor in the School of Computing (SoC)
at Montclair State University (MSU) in Montclair, New
Jersey. She is also an Associate Director of the Clean Energy and Sustainability Analytics Center (CESAC),
Doctoral Faculty Member in their Environmental Science and Management
PhD Program, and Faculty Member in the interdisciplinary MS in Computational Linguistics program at Montclair.
She has served as the Associate Director for Graduate Studies and Research in SoC at MSU. Her experience includes
being a Visiting Researcher at Max Planck Institute for Informatics (MPII) in Saarbruecken,
Germany; and a Tenure Track Assistant Professor in the Department of Math and Computer Science
at Virginia State University, USA. Aparna obtained her M.S. in Computer Science at WPI and her B.E. in Computer Engineering
from the University of Bombay, India. Her interests span Artificial Intelligence, Data Mining, Machine Learning and Database Systems with
particular emphasis on multidisciplinary research including Environmental Computing.
Aparna's research has been supported by grants from organizations such as PSEG, NSF,
NOAA, Roche and Merck. Her honors include 9 best paper awards at IEEE conferences and other venues.
Her professional activites include serving as a panelist for NSF, founder and co-chair of ACM CIKM's
Ph.D.workshops, reviewer for premier journals, e.g. IEEE's TKDE and ACM's TKDD and PC member at leading conferences, e.g. IEEE's IDCM
and ACM's CIKM, and session chair at pinnacle venues such as ACM SIGMOD and WWW. She has more than 150 publications including a book chapter,
5 edited volumes and several papers in reputed journals and conferences
by IEEE, ACM, AAAI etc. Aparna has been awarded Associate Membership of Sigma Xi for excellence in multidisiplinary work. She is classified as an outstanding
researcher by the USCIS for permanent residency. As hobbies she enjoys travel, Yoga, aerobics, painting, literature, music and other cultural events.
This is her faculty profile page at Montclair State University.
Research  
Teaching  
Grants  
PhD Dissertation  
Advisees  
External Examiner  
Awards  
Publications  
Service  
Hobbies  
Contact
Research Areas (Buzzwords!)
- Artificial Intelligence: Commonsense Knowledge, Smart Cities, App Development with HCI
and IoT, AI in Software Engineering, Collaborative Robotics, Expert Systems
- Machine Learning and Data Mining: Predictive Analytics, Decision Support Systems,
Domain-Specific Knowledge Discovery, Scientific Data Analysis
- Computational Linguistics: Web and Text Mining, Terminology Evolution,
Commonsense Reasoning in Text, Error Detection in L2 English, Information
Retrieval
- Database Systems: Big Data Management, Cloud Computing, Web Databases, XML and DSML
- Environmental Computing: Green IT, Urban Policy, Geo-informatics, Drone
and Satellite Data Analysis, Energy Management
Research Projects
- Decision Support in Green IT for Smart Environment and Sustainability
- Terminology Evolution in Information Retrieval
- Urban Policy and Commonsense Knowledge for Smart Cities with Smart Governance
- Articles, Collocations and Prepositions in L2 English Text
- Common Sense in Implicit Requirements, Autonomous Vehicles and Object Detection
- Cloud Computing in Big Data and Social Media
- App Development for Smart Living: HCI, IoT and Domain Knowledge
- GIS, Urban Sprawl and Air Quality Issues in Geo-informatics
- Learning By Mining Nanoscale Images
- XML-based Markup Languages and Semantic Web Standards
Descriptions of projects can be found at Montclair faculty profile page
Teaching: Courses at Montclair
- Artificial Intelligence
- Data Mining
- Machine Learning
- Human Computer Interaction
- Database Systems
- Advanced Databases
- Databases and the Internet
- Data Structures and Algorithms
- Discrete Mathematics in Computing
- Computer Algorithms and Analysis
- Java Programming I and II
- Honors Seminar in Science
Grants, Research Visits and Related Information
- Co-PI on Research Grant: Quantifying the role of vegetation cover on berm-dune geometry and sedimentation patterns in Long Branch, New Jersey, NJSGC (New Jersey Sea Grants Consortium), Prime Sponsor NOAA (National Oceanic
and Atmospheric Administration), PI: Dr. Jorge Lorenzo-Trueba, Sep 2023 to Sep 2025.
- PI on White Paper: Energy: Green Data Centers for Sutainability
, NIST-TIP: National Institute for Standards and Technology - Technology Innovations Program, May 2011.
- Co-PI on Research Grant: Decision Support System (DSS) for IT Management, PSEG: Public Service Electric and Gas Company, PI: Dr. Stefan Robila,
PhD Student: Michael Pawlish, Jan 2011 to Dec 2012.
- Co-PI on Research Grant: Development and Web-based Dissemination of High Resolution Distributed Hydrological Information for Promoting Sustainable
Water Management, PSEG-ISS: Public Service Enterprise Group - Institute for Sustainability Studies, PI: Dr. Clement Alo,
PhD student: Felix Oteng, Jun 2016 to Aug 2016.
- PI on Research Grant: Using Commonsense Knowledge and Deep Learning Based Text Mining to Identify Implicit Software Requirements, SGPD Grant,
Other PI: Dr. Vaibhav Anu, Jul 2020 to Jun 2021.
- Faculty Mentor on Research Fellowship: The New Jersey Wind Institute Fellowship Program, NJEDA, PI: Dr. Pankaj Lal, Student: Isabele Bittencourt,
“Topic: Sentiment Analysis and Topic Modeling on Offshore Wind Data", Jun 2023 to May 2024
- Senior Personnel on Research Grant: MRI: Acquisition of a Multimodal Collaborative Robot System (MCROS) to Support Cross-Disciplinary Human-Centered Research
and Education at Montclair State University, National Science Foundation, PI: Dr. Weitian Wang, Oct 2021 to Sep 2024.
- Senior Personnel on Research Grant: MRI: Acquisition of a High-Performance GPU Cluster for Research and
Education, National Science Foundation, PI: Dr. Jiayin Wang, Oct 2020 to Sep 2023.
- Senior Personnel on Research Grant: Montclair REU Site in Imaging and Computer Vision, iMagine, NSF: National Science Foundation, PI: Stefan Robila, May 2010 to Aug 2013.
- PhD Research Mentor on Scholarship: Fullbright Scholar Program, Visiting PhD Student: Onyeka Emebo,Aug 2015 to June 2016
- Faculty Mentor on Research Grant: SHIP: Science Honors Innovation Program, Roche and Merck, PI: Dr. Robert Prezant, Aug 2010 to May 2012.
- Faculty Mentor on Research Grant: NSF-LSAMP: National Science Foundation - Louis Stokes Alliance for Minority Participation, Contact Person: Dr. Aihua Li, Aug 2016 to date
- Visting Senior Researcher: Max Planck Institute for Informatics, Saarbruecken, Germany, Databases and Information Systems Group,
Supervisor: Dr. Gerhard Weikum, Summer 2008, Summer 2015, Autumn 2021.
PhD Dissertation Details
PhD and MS Thesis Advisees (as Research Advisor)
- Michael Pawlish, PhD May 2014, Dissertation -
Modeling a Green Decision Support System for Data Center Sustainability
- Xu Du, PhD Jan 2021, Dissertation - Mining Socual Media and Structured
Data in Urban Environmental Management to Develop Smart Cities
- Onyeka Emebo, PhD May 2017 (Sep 2015 - Jun 2016 Visiting Fulbright
Scholar), Dissertation - A Process Framework for Managing Implicit Requirements
Using Analogy-based Reasoning
- Sarahana Shrestha, PhD ongoing, Dissertation Area - Exploring Energy Efficiency with Machine Learning
- Amal Kalurachchi, MS CS May 2010, Thesis - The SITAC Approach for Time Aware Query Translation in Text Archives
- Alan Varghese, MS CS May 2013, Thesis - Collocation Error Correction in Web Queries and Text Documents
- Manish Puri, MS CS May 2019, Thesis -
Commonsense Knowledge in Sentiment Analysis of Ordinance Reactions for Smart Governance
- Christopher J. Conti, MS CS Dec 2020, Thesis -
Human-Robot Collaboration Using Commonsense Knowledge in Smart Manufacturing Contexts
- Irina Chernyavsky, MS Math Dec 2022, Thesis - Image Categorization and Object
Detection by Transferrring Commonsense Knowledge
- Rafael Hidalgo, MS CS Dec 2023, Thesis - Infusing Commonsense via Knowledge Bases in Multipurpose Robotic Task Organization
- Jyoti Yadav, MS Data Sc. May 2024, Thesis - Bridging NLP with Environmental Management by Sentiment Analysis
- Isabele Bittencourt, MS Comp. Linguistics, May 2024, Thesis - Holistic Audio-Visual Cough Data Analysis for TB Detection
PhD Students Refereed (as External Examiner)
- Tien Tran, PhD 2011, Dissertation: XML Clustering and its Application to XML Transformation, Queensland
University of Technology, Brisbane, Australia.
- Sangeetha Kutty, PhD 2013, Dissertation: Enriching XML Documents Clustering by using Concise Structure and Content,
Queensland University of Technology, Brisbane, Australia.
- Amrita Sarkar, PhD 2016, Dissertation: Accident Prediction and Identifying Accident Black Spots Using Soft Computing
Tools, BIT-MESRA, Ranchi, India.
- Zhaotong Yang, PhD 2021, Dissertation: Developing Machine Learning Models to Predict Influence
of Heat Treatments on the Tensile Properties of Ti6Al4V Parts Prepared by Selective Laser Melting,
Worcester Polytechnic Institute, MA, USA.
Awards and Honors
- Best Paper Award at IEEE IISA 2024, International Conference on
Information, Intelligence, Systems, and Applications, Crete, Greece (Whole Conference, Full Research Papers, Student 1st Authors)
for the paper - Audiovisual Multimodal Cough Data Analysis for Tuberculosis Detection
- Jyoti Yadav, Aparna Varde, Hao Liu, George Antoniou, Lei Xie, July 2024.
- Best Paper Award in Data Science and IoT Track of the International IoT, Electronics and Mechatronics Conference,
Imperial College, London, UK, with Proceedings by Springer Nature Publishers,
for the paper - Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose
Robots - Rafael Hidalgo, Jesse Parron, Aparna Varde, Weitain Wang, Apr 2024.
- Faculty Mentor of 1st Prize Winners, RAISE-2024 Data Science national competition, Rutgers University,
NJ, Students: Anand Gopeekrishnan, Isabele Bittencourt, Ramy Othman, Ola Suaifan; Mentors: Aparna Varde, Hao Liu;
Track: Graduate Students; Feb to Apr 2024
- Best Poster Award in NJBDA-2024 (New Jersey Big Data Alliance) Symposium
for the poster - AI in TB Detection on Medical Big Data with Health and
Educational Impacts - Jyoti Yadav and Aparna Varde, May 2024.
- Best Paper Award in IT Track of IEEE IEMTRONICS (International
IoT, Electronics and Mechatronics Conference) for the paper - Understanding
the Information Disseminated Using Twitter During the COVID19 Pandemic -
Jorge Torres, Vaibhav Anu and Aparna Varde, Apr 2021.
- Best Paper Award in Robotics Track of IEEE IEMTRONICS (International
IoT, Electronics and Mechatronics Conference) for the paper - Robot Action
Planning by Commonsense Knowledge in Human Robot Collaborative Tasks -
Christopher Joseph Conti, Aparna Varde and Weitian Wang, Sep 2020.
- Best Paper Award in IoT (Internet of Things) Track of IEEE UEMCON
(Ubiquitous Computing, Electronics and Mobile Communications Conference)
for the work - A Hive and SQL Case Study in Cloud Data Analytics -
Shireesha Chandra, Aparna Varde and Jiayin Wang, Oct 2019.
- Notable Mention in NJ Newspaper (The Record) in the article - Robotics introduce kids to tech
- excerpts from interview as an AI professor in the section: Wave of the Future, Apr 2018.
- Best Graduate Presentation Award in College of Science and Math at
Montclair State University Student Research Symposium for work - Capturing
Climate Data in XML - Scott Thompson, Jonathan Chen, Adam Schwartz and
Aparna Varde, Apr 2017.
- Best Paper Award in Big Data Analytics and Mobile Communications
Track of IEEE UEMCON (Ubiquitous Computing, Electronics and Mobile
Communications Conference) for the work - Ontology Based Meta Knowledge
Extraction with Semantic Web Tools for Ubiquitous Computing - Aliva Pradhan
and Aparna Varde, Oct 2016.
- Best Interdisciplinary Research Award in Sigma Xi Research
Symposium, for work - Towards the Next Generation of Green Data Centers -
Michael Pawlish and Aparna Varde, Apr 2012.
- Awarded Associate Member of Sigma Xi for excellence in multidisciplinary research, Apr 2005
- Outstanding Professor and Researcher classified by the USA CIS (Citizenship and Immigration Services), 2008
- Award Recipient from DOE (Department of Energy) Award Number DE-FC-07-011D14197 to fund PhD research,
(Grant PI: Prof. Richard Sisson Jr.), 2002-2005.
Publications
2024
- Aparna Varde, Divydharshini Karthikeyan and Weitian Wang --- Facilitating COVID Recognition from X-rays with Computer Vision Models and Transfer Learning
--- Multimedia Tools and Applications journal, Springer Publishers, Netherlands, (Springer MTAP),
2024, Vol.83, Issue 1, pp. 807-838, https://doi.org/10.1007/s11042-023-15744-9
- Rafael Hidalgo, Jesse Parron, Aparna Varde, Weitian Wang --- Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots
--- International IoT, Electronics and Mechatronics Conference (Springer IEMTRONICS 2024), London, UK, Apr 2024, Springer
Publishers, pp. 654-668.
- Isabele Bittencourt, Aparna Varde, Pankaj Lal --- Opinion Mining on Offshore Wind Energy for Environmental Engineering
--- International IoT, Electronics and Mechatronics Conference (Springer IEMTRONICS 2024), London, UK, Apr 2024, Springer
Publishers, pp. 252-264.
- Jyoti Yadav, Aparna Varde, Hao Liu, George Antoniou, Lei Xie --- Audiovisual Multimodal Cough Data Analysis for Tuberculosis Detection
--- IEEE IISA, International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2024), Crete, Greece, Jul 2024.
- Sarahana Shrestha, Isabele Bittencourt, Aparna Varde, Pankaj Lal --- AI-Based Modeling for Textual Data on Solar Policies in Smart Energy Applications
--- International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2024), Crete, Greece, Jul 2024.
2023
- Sarahana Shrestha and Aparna Varde --- Roles of the Web in Commercial Energy Efficiency: IoT, Cloud Computing, and Opinion Mining
--- ACM SIGWEB, Autumn 2023 Issue, 5:1-5:16.
- Manish Puri, Aparna Varde and Gerard de Melo --- Commonsense Based Text Mining on Urban Policy
--- Springer LREV Journal, 2023, Vol. 57, Issue 2, pp. 733-763, https://doi.org/10.1007/s10579-022-09584-6
- Gregory Coppola, Aparna Varde and Jiacheng Shang --- Enhancing Cloud Security Posture for Ubiquitous Data Access with a Cybersecurity Framework Based Management Tool
--- IEEE UEMCON, New York, NY, Oct 2023
- Sarahana Shrestha, Brian Buckley, Aparna Varde and Daniel Cwynar --- Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment
--- IEEE ICTAI, Atlanta, GA, Oct 2022, pp. 229-233.
- Christopher J. Conti, Aparna Varde and Weitian Wang --- Web Perspectives in Robotics Applications:
Commonsense Knowledge, Autonomous Vehicles and Human-Robot Collaboration --- ACM SIGWEB, Winter
2023 Issue, Article 4, pp. 1-32, https://doi.org/10.1145/3583849.3583853
- Rafael Hidalgo, Nesreen Salah, Rajiv Chandra Jetty, Anupama Jetty and Aparna Varde
--- Personalizing Text-to-Image Diffusion Models by Fine-Tuning Classification for AI Applications
--- Springer IntelliSys (Intelligent Systems) conference, Amsterdam, The Netherlands, Sep 2023, pp. 642-658.
- Hiral Vashi, Jyoti Yadav and Aparna Varde --- Predictive Analysis of Bank Marketing for Financial Decision Support and Smart Economy
--- Springer IntelliSys (Intelligent Systems) conference, Amsterdam, The Netherlands, Sep
2023, pp. 474-490.
- C.J. Conti, Aparna Varde and Weitian Wang --- Human-Robot Collaboration with Commonsense Reasoning in Smart Manufacturing Contexts
--- IEEE Conference on Automation Science and Engineering (IEEE CASE), Auckland, New Zealand, August 2023.
- Aparna Varde, Gerard de Melo and Boxiang Dong --- Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics
--- WWW, The ACM Web Conference (Companion Proceedings), Austin, TX, May 2023.
- Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde and Gerhard Weikum --- Extracting Cultural Commonsense Knowledge at Scale
--- WWW, The ACM Web Conference, Austin, TX, May 2023, pp. 1907-1917.
- Aparna Varde and Jianyu Liang ---
Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability
--- AAAI conference on Artificial Intelligence (AAAI 2023) Bridge Program, Washington, DC, Feb 2023.
- Levi Corallo and Aparna Varde ---
Optical Character Recognition and Transcription of Berber Signs from Images in a Low-Resource Language
Amazigh --- AAAI conference on Artificial Intelligence (AAAI 2023) workshops, Washington, DC, Feb 2023
- Anuradha Singh, Jyoti Yadav, Sarahana Shrestha and Aparna Varde ---
Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index
--- AAAI conference on Artificial Intelligence (AAAI 2023) workshops, Washington, DC, Feb 2023.
- Vishesh Kalvakurthi, Aparna Varde and John Jenq ---
Hey Dona! Can you help me with student course registration?
--- AAAI conference on Artificial Intelligence (AAAI 2023) workshops, Washington, DC, Feb 2023.
2022
- Aparna Varde --- Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists
--- ACM Transactions on Knowledge Discovery from Data (ACM TKDD journal), Oct 2022, Vol. 16, No. 5, Article 86, pp. 86:1 - 86:52,
https://doi.org/10.1145/3502736
- C.J. Conti, Aparna Varde and Weitian Wang --- Human-Robot Collaboration with Commonsense Reasoning in Smart Manufacturing Contexts
--- IEEE Transactions on Automation Science and Engineering (IEEE TASE journal),
July 2022, Vol. 19, Issue 3, pp.1784-1797, DOI: 10.1109/TASE.2022.3159595
- Aparna Varde, Abidha Pandey and Xu Du --- Prediction Tool on Fine Particle Pollutants and Air Quality for Environmental Engineering
--- Springer Nature CS Journal, Mar 2022, Vol. 3, Article 184, pp. 1 - 31, https://doi.org/10.1007/s42979-022-01068-2
- Dev Dave, Angelica Celestino, Aparna Varde and Vaibhav Anu --- Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques
--- ACM SIGMOD Record journal, Jun 2022, Vol. 51, Issue 2, pp. 18 - 29.
- Aparna Varde, Jianyu Liang, Zhaotong Yang and Richard D. Sisson Jr. ---
Ishikawa, JESS, and Visual Analytics for Engineering --- IEEE Big Data
Conference, Osaka, Japan, Dec 2022. pp. 6804-6806.
- Irina Chernyavsky, Aparna Varde and Simon Razniewski --- CSK-Detector:
Commonsense in Object Detection, IEEE Big Data Conference, Osaka, Japan, Dec 2022, pp. 6591-6594.
- Kenna Reagan, Aparna Varde and Lei Xie --- Evolving Perceptions of Mental Health on Social
Media and their Medical Impacts --- IEEE Big Data
Conference, Osaka, Japan, Dec 2022, pp. 5318-5327.
- Rafael Hidalgo, Anthony DeVito, Nesreen Salah, Aparna Varde and Robert
Meredith --- Inferring Phylogenetic Relationships using the Smith-Waterman Algorithm and Hierarchical Clustering
--- IEEE Big Data Conference, Osaka, Japan, Dec 2022, pp. 5900-5904.
- Darko Radakovic, Anuradha Singh, Aparna Varde and Pankaj Lal --- Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory
--- IEEE ICTAI (International Conference on Tools with Artificial Intelligence), Oct 2021, pp. 755-759.
- Tuan-Phong Nguyen, Aparna Varde and Gerhard Weikum --- Extracting Cultural Commonsense Knowledge at Scale
--- CoRR abs/2210.07763, Oct 2022, arXiv:2210.07763 [cs.CL].
- Amrutha Kommu, Snehal Patel, Sebastian Derosa, Jiayin Wang and Aparna S. Varde
--- HiSAT: Hierarchical Framework for Sentiment Analysis on Twitter Data,
--- Springer IntelliSys (Intelligent Systems) conference, Amsterdam, The Netherlands, Sep 2022, pp. 376 - 392.
- Brad McNamee, Aparna Varde and Simon Razniewski --- Correlating Facts
and Social Media Trends on Environmental Quantities Leveraging
Commonsense Reasoning and Human Sentiments --- LREC (Language Resources and
Evaluation) conference workshops,
Marseille, France, 2022, pp. 25 - 30.
- Avery Field, Aparna Varde and Pankaj Lal --- Using Sentiment Analysis and
Topic Modeling to Analyze Public Perception of Air Travel ---
LREC (Language Resources and Evaluation) conference workshops, Marseille, France, 2022, pp. 2 - 8.
- Anurag Garg, Niket Tandon and Aparna S. Varde ---
CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors
--- ACM EDBT (Extending Database Technology) conference workshops, Edinburgh, Scotland, March 2022.
- Levi Corallo, Guanghui Li, Kenna Reagan, Abhishek Saxena, Aparna S. Varde and Brandon Wilde ---
A Framework for German-English Machine Translation with GRU RNN
--- ACM EDBT (Extending Database Technology) conference workshops, Edinburgh, Scotland, March 2022.
2021
- Priya Persaud, Aparna Varde and Weitian Wang --- Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion
--- Journal of Robotics, Hindawi Publishers, 2021, Article ID: 5461703, https://oi.org/10.1155/2021/5461703.
- Manish Puri, Zachary Dau and Aparna Varde --- COVID and Social Media: Analysis of COVID-19 and Social Media Trends
for Smart Living and Healthcare --- ACM SIGWEB, Autumn 2021, Article No. 5, pp. 1 - 20, https://doi.org/10.1145/3494825.3494830.
- Dev Dave, Vaibhav K. Anu and Aparna Varde --- Automating the Classification of Requirements Data
--- IEEE Big Data Conference, Orlando, FL, Dec 2021, pp. 5878-5880.
- Britnie Gonzalez-Moodie, Shane Daiek, Jorge Lorenzo-Trueba and Aparna Varde
--- Multispectral Drone Data Analysis on Coastal Dunes --- IEEE Big Data Conference, Orlando,
FL, Dec 2021, pp. 5903-5905.
- Sayem Mohammad Imtiaz, Kazi Zakia Sultana and Aparna Varde ---
Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding
--- IEEE Big Data Conference, Orlando, FL, Dec 2021, pp. 4869-4876.
- Archana Prasad, Aparna S. Varde, Raga Gottimukkala, Clement Alo and Pankaj Lal
--- Analyzing Land Use Change and Climate Data to Forecast Energy Demand for a Smart Environment
--- IEEE International Renewable and Sustainable Energy Conference, IRSEC, Morocco, Nov
2021, pp. 1-6. DOI: 10.1109/IRSEC53969.2021.9741210
- Laura Paulino, Correy Hannum, Aparna Varde and Christopher J. Conti
--- Search Methods in Motion Planning for Mobile Robots ---
Springer IntelliSys (Intelligent Systems) conference, Amsterdam, The Netherlands, Sep 2021, LNNS 296, Vol. 3, pp. 802-822.
- Jorge Torres, Vaibhav Anu and Aparna Varde --- Understanding the Information Disseminated Using Twitter During the COVID-19 Pandemic
--- IEEE International IoT, Electronics and Mechatronics Conference, IEMTRONICS, Toronto, ON, Canada, Apr
2021, pp. 1-6, DOI: 10.1109/IEMTRONICS52119.2021.9422523
- Jorge Torres, Vaibhav Anu, Aparna Varde and Christopher Duran ---
My-Covid-Safe-Town: A mobile application to support post-Covid recovery of small local
businesses --- IEEE International IoT, Electronics and Mechatronics Conference, IEMTRONICS, Toronto, ON, Canada, Apr
2021, pp. 1-7, DOI: 10.1109/IEMTRONICS52119.2021.9422594
- Simon Razniewski, Niket Tandon and Aparna Varde ---
Information to Wisdom: Commonsense Knowledge Extraction and Compilation
--- ACM WSDM (Web Search and Data Minin)g conference, Jerusalem, Israel, Mar
2021, pp. 1143-1146.
- Christina Varghese, Drashti Pathak and Aparna Varde ---
SeVa: A Food Donation App for Smart Living ---
IEEE Computing and Communications Workshop and Conference, CCWC,
Las Vegas, NV, Jan 2021, pp. 408-413.
2020
- Drashti Pathak, Aparna Varde, Gerard de Melo and Clement Alo
--- Hydroinformatics and the Web: Analytics and Dissemination of Hydrology Data for Climate Change and Sustainability
--- ACM SIGWEB, Autumn 2020, ISSN: 1931-1745, Article No. 3, pp. 1- 17, https://doi.org/10.1145/3427478.3427481.
- Christopher J. Conti, Aparna Varde and Weitian Wang ---
Task Quality Optimization in Collaborative Robotics ---
IEEE Big Data Conference, Atlanta, GA, Dec 2020, pp. 5652 - 5654.
- Xu Du, Matthew Kowalski, Aparna Varde, Boxiang Dong --- LSOMP; Large
Scale Ordinance Mining Portal --- IEEE Big Data Conference, Atlanta, GA, Dec
2020, pp. 5662-5664.
- Divyadharshini Karthikeyan, Aparna Varde and Weitian Wang ---
Transfer Learning for Decision Support in Covid-19 Detection from a Few Images in Big Data
--- IEEE Big Data Conference, Atlanta, GA, Dec 2020, pp. 4873-4881.
- Jessica Lourenco and Aparna Varde --- Item-Based Collaborative
Filtering and Association Rules for a Baseline Recommender in E-Commerce
--- IEEE Big Data Conference, Atlanta, GA, Dec 2020, pp. 4636-4645.
- Emebo Onyeka, Aparna Varde, Vaibhav Anu, Niket Tandon, Olawande Daramola
--- Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization
--- IEEE International Conference on Tools with Artificial Intelligence,
ICTAI, Online, Nov 2020, pp. 935-940.
- Chritopher J. Conti, Aparna Varde and Weitian Wang --- Robot Action
Planning by Commonsense Knowledge in Human-Robot Collaborative Tasks ---
IEEE International IoT, Electronics and Mechatronics Conference, IEMTRONICS,
Vancouver, BC, Canada, Sep 2020. DOI: 10.1109/IEMTRONICS51293.2020.9216410,
pp. 170-176.
- Divyadharshini Karthikeyan, Sudha Shah, Aparna Varde and Clemant Alo ---
Interactive Visualization and App Development for Precipitation Data in
Sub-Saharan Africa --- IEEE International IoT, Electronics and Mechatronics
Conference, IEMTRONICS, Vancouver, BC, Canada, Sep 2020, DOI:DOI:
10.1109/IEMTRONICS51293.2020.9216362, pp. 302-308.
- Christina Varghese, Aparna Varde and Xu Du --- An Ordinance-Tweet Mining
App to Disseminate Urban Policy Knowledge for Smart Governance --- Springer LNCS
Conference on e-Business, e-Services and e-Society for Responsible Design,
Implementation and Use of Information and Communication Technology, I3E, Skukuza,
South Africa, Apr 2020, Vol. 12067, pp. 389-401.
- Anurag Garg, Niket Tandon and Aparna Varde --- I am guessing you can't
recognize this: Generating adversarial images for object detection using
spatial commonsense --- AAAI Conference, New York, NY, Feb 2020, 13789-13790.
2019
- Xu Du, Matthew Kowalski, Aparna Varde, Gerard de Melo and Robert Taylor
--- Public Opinion Matters: Mining Social Media Text for Environmental Management
--- ACM SIGWEB, Autumn 2019, ISSN: 1931-1745, Article No. 5, pp. 1-15,
https://doi.org/10.1145/3352683.3352688
- Onyeka Emebo, Vaibhav Anu and Aparna Varde --- Identifying Implicit Requirements in SRS Big Data
--- IEEE Big Data Conference, Los Angeles, CA, Dec 2019, pp. 6169-6171.
- Pooja Bhagat, Aparna Varde and Anna Feldman --- WordPrep: Word-based Preposition
Prediction Tool --- IEEE Big Data Conference, Los Angeles, CA, Dec 2019, pp.
2169-2176.
- Boxiang Dong, Aparna Varde, Danilo Stevanovic, Jiayin Wang and Liang Zhao
--- Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
--- IEEE DataCom: International Conference on Big Data Intelligence and Computing, Kaohsiung, Taiwan, Nov 2019, pp. 114-118.
- Boxiang Dong, Hui Wang, Aparna Varde, Dawei Li, Bharath Samanthula, Weifeng Sun, Liang Zhao
--- Cyber Intrusion Detection by Using Deep Neural Networks with Attack-Sharing
Loss --- IEEE DataCom: International Conference on Big Data Intelligence and Computing, Kaohsiung, Taiwan, Nov 2019, pp. 9-16.
- Drashti Pathak, Aparna Varde, Clement Alo and Felix Oteng --- Ubiquitous Access for Local Water Management Through HCI Based App
Development --- IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication
Conference, UEMCON, New York City, NY, Oct 2019, pp. 226-232.
- Shireesha Chandra, Aparna Varde and Jiayin Wang --- A Hive and SQL Case Study in Cloud Data Analytics
--- IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication
Conference, UEMCON, New York City, NY, Oct 2019, pp. 112-118.
2018
- Manish Puri, Aparna Varde and Boxiang Dong --- Pragmatics and Semantics
to Connect Specific Local Laws with Public Reactions -- IEEE Big Data
Conference, Seattle, WA, Dec 2018, pp. 5433-5435.
- Manish Puri, Aparna Varde, Xu Du and Gerard de Melo --- Smart
Governance through Opinion Mining of Public Reactions on Ordinances ---
IEEE International Conference on Tools with Artificial Intelligence (IEEE
ICTAI 2018), Volos, Greece, Nov 2018, pp. 838 - 845.
- Abidha Pandey, Manish Puri and Aparna Varde --- Object Detection
with Neural Models, Deep Learning and Common Sense to Aid Smart Mobility ---
IEEE International Conference on Tools with Artificial Intelligence (IEEE
ICTAI 2018), Volos, Greece, Nov 2018, pp. 859 - 863.
- Ketaki Gandhe, Aparna Varde and Xu Du --- Sentiment Analysis
of Twitter Data with Hybrid Learning for Recommender Applications ---
IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication
Conference (IEEE UEMCON 2018), New York City, NY, Nov 2018, DOI: 10.1109/UEMCON.2018.8796661
- Danilo Stevanovic, Aparna Varde and Boxiang Dong --- Search Methods for Recognizing Characters from Chinese Calligraphy
--- NSF Annual Garden State Louis Stokes Alliance for Minority Participation STEM Research Conference
(NSF GS-LSAMP 2018), Rutgers, Newark, Oct 2018.
- Michael Pawlish and Aparna Varde --- The DevOps Paradigm with Cloud Data
Analytics for Green Business Applications --- In ACM SIGKDD Explorations
Journal, 2018, Volume 20, Issue 1, pp. 51 - 59.
- Manish Puri, Xu Du, Aparna Varde and Gerard de Melo --- Mapping
Ordinances and Tweets using Smart City Characteristics to Aid Opinion Mining
--- In W3C's WWW (The Web Conference), Apr 2018, Lyon, France, pp. 1721 - 1728.
2017
- Niket Tandon, Aparna Varde and Gerard de Melo --- Commonsense Knowledge
in Machine Intelligence --- In ACM SIGMOD Record Journal, 2017, Volume 46,
Issue 4, pp. 49 - 52.
- Priya Persaud, Aparna Varde and Stefan Robila --- Enhancing Autonomous
Vehicles with Commonsense: Smart Mobility in Smart Cities --- In IEEE
International Conference on Tools with Artificial Intelligence, ICTAI, Smart
Cities Workshop, Nov 2017, Boston, MA, pp. 1008-1112.
- Gerard de Melo, Niket Tandon and Aparna Varde ---
Commonsense for Machine
Intelligence: Text to Knowledge and Knowledge to Text --- In ACM Conference
on Information and Knowledge Management, CIKM, Nov 2017, Singapore, pp. 53 -
54.
- Xu Du, Diane Liporace and Aparna Varde --- Urban Legislation Assessment
by Data Analytics with Smart City Characteristics --- In IEEE Ubiquitous
Computing, Electronics and Mobile Communication Conference, UEMCON, Oct
2017, New York City, NY, pp. 20-25.
- Xu Du, Aparna Varde and Robert Taylor --- Mining Ordinance Data From the
Web for Smart City Development --- In CSREA Press, International Conference on
Data Mining DMIN, Jul 2017, Las Vegas, NV, pp. 84-90, ISBN: 1-60132-453-7.
- Priya Persaud and Aparna Varde ---
Autonomous Vehicle Applications with Common Sense Knowledge for Smart Cities ---
Technical Report, NSF GS LSAMP program, Montclair State University, NJ, June 2017, DOI: 10.13140/RG.2.2.34561.51047
2016
- Priyanka Basavaraju and Aparna Varde --- Supervised Learning Techniques
in Mobile Apps for Androids --- In ACM SIGKDD Explorations Journal, 2016,
Volume 18, Issue 2, pp. 18 - 29.
- Priya Persaud, Aparna Varde and Ian Drake --- Common Sense Knowledge,
Humanoid Robots and Human Rights --- In IEEE MIT Undergraduate Research
Technology Conference, URTC, Nov 2016, Maasachusetts Institute of Technology, Cambridge, MA.
- Aliva Pradhan and Aparna Varde --- Ontology Based Meta Knowledge
Extraction with Semantic Web Tools for Ubiquitous Computing --- In IEEE
Ubiquitous Computing, Electronics and Mobile Communication Conference,
UEMCON, Oct 2016, New York City, NY, DOI: 10.1109/UEMCON.2016.7777817, pp. 1- 6.
- Priya Persaud and Aparna Varde --- Domain-Specific Knowledge Bases with
Common Sense Knowledge for Autonomous Vehicles in Smart Cities --- In NSF
GS-LSAMP, Oct 2017, Rutgers, New Brunswick, NJ.
- Onyeka Emebo, Aparna Varde and Daramola Olawande --- Common Sense Knowledge, Text Mining and Ontology for Implcit Requirements ---
In CSREA Press International Conference on Data Mining DMIN, Jul 2016, Las Vegas, NV, pp. 146 -
152, ISBN: 1-60132-431-6.
- Xu Du, Onyeka Emebo, Aparna Varde, Niket Tandon, Sreyasi Nag Chowdhury and Gerhard Weikum --- Air Quality Assessment from Social Media and
Structured Data --- In IEEE International Conference on Dara Engineering, ICDE, HDMM Workshop, May 2016, Helsinki, Finland, pp. 54 - 59.
- Onyeka Emabo and Aparna Varde ---
Early Identification of Implicit Requirements with the COTIR Approach using Common Sense, Ontology
and Text Mining --- Technical Report, Fulbright PhD Scholar Research Visit,
Dept. of Computer Science, Montclair State University, Montclair, NJ, May
2016, DOI: 10.13140/RG.2.2.27296.84486
- Xu Du, Aparna Varde --- Mining PM2.5 and Traffic Conditions for Air Quality --- In IEEE International Conference on Information and
Communication Systems, Apr 2016, Irbid, Jordan, pp. 33 - 38.
2015
- Gerard de Melo, Mouna Kacimi and Aparna Varde --- Dissertation Research Problems in Data Management and Related Areas
--- In ACM SIGMOD Record Journal, 2015, Volume 44, Issue 4, pp. 53 - 56.
- Xu Du, Aparna Varde --- Mining Multicity Urban Data for Sustainable Population Relocation --- In International
Journal on Computer, Electrical, Automation, Control and Information Engineering, 2015, Volume 9, Issue 12, pp. 2441-2448.
- Alan Varghese, Aparna Varde, Jing Peng and Eileen Fitzpatrick --- A Framework for Collocation Error Correction in Web Pages and Text Documents
--- In ACM SIGKDD Explorations Journal, 2015, Volume 17, Issue 1, pp. 14-23.
- Aparna Varde, Niket Tandon, Sreyasi Nag Chowdhury and Gerhard Weikum --- Common Sense Knowledge in Domain-Specific Knowledge Bases --- Technical Report, Max Planck
Institute for Informatics (Research Visit), Saarbruecken, Germany, Aug 2015, DOI: 10.13140/RG.2.2.34007.73129
- Michael Pawlish, Aparna Varde and Stefan Robila --- The Greening of Data Centers with Cloud Technology --- In IJCAC Journal
(International Journal of Cloud Applications and Computing), IGI Global, 2015, Vol 5, No. 4, pp. 1 - 23.
- Gerard de Melo and Aparna Varde ---
Scalable Learning Technologies for Big Data Mining --- In Springer's DASFAA, April 2015, Hanoi, Vietnam,
Volume 2, pp. 3-4.
2014
- Anisoara Nica, Fabian Suchanek and Aparna Varde --- New Research Directions in Knowledge Discovery and Allied Spheres --- In ACM SIGKDD
Explorations Journal, 2014, Volume 16, Issue 2, pp. 46 - 49.
- Gerard de Melo, Mouna Kacimi and Aparna Varde --- PIKM 2014: 5th ACM Workshop for PhD Students in Information and
Knowledge Management: Workshop Summary --- In ACM Conference on Information and Knowledge Management,CIKM, Nov 2014, Shanghai, China, pp. 2098-2099.
- Anita Pampoore-Thampi, Aparna Varde and Danlin Yu --- Mining GIS Data to
Predict Urban Sprawl --- In ACM conference on Knowledge Discovery and Data Mining, KDD (Bloomberg track), Aug 2014, New York City, NY, pp. 118-125.
- Michael Pawlish, Aparna Varde, Stefan Robila, Cynthia Alvarez, Christopher Fleischl and Genesis Serviano
--- GreenDSS Tool for Data Center Management --- In IEEE International Conference on Informaticn and Communication Systems,
Apr 2014, Irbid, Jordan, pp. 1-6.
- Aparna Varde, Michael Pawlish, Klavdiya Hammond, Jonathan Tancer, Shireesha Chandra
--- Cloud Technology for Big Data Management and
Mining --- In IEEE NJBDA Symposium, Apr 2014, Piscataway, NJ.
- Aparna Varde and Nikolaj Tatti --- A Panorama of Imminent Doctoral Research in Data Mining
--- In ACM SIGMOD Record Journal, 2014, Volume 43, Issue 3, pp. 71-74.
- Michael Pawlish, Aparna Varde, Stefan Robila and Anand Ranganathan --- A Call for Energy Efficiency in Data Centers
--- In ACM SIGMOD Record Journal, 2014, Volume 43, Issue 1, pp. 45-51.
- Gerard de Melo, Mouna Kacimi and Aparna Varde ---
Proceedings of the 7th Workshop on Ph.D Students --- In ACM Conference on Information and Knowledge
Management,CIKM, Nov 2014, Shanghai, China, ISBN: 978-1-4503-1481-7.
2013
- Aparna Varde, Mohammed Maniruzzaman and Richard D. Sisson Jr. --- QuenchML: A Semantics-Preserving Markup Language for Knowledge
Representation in Quenching --- In AIEDAM Journal (Artificial Intelligence in Engineering Design, Analysis and Manufacturing),
Cambridge University Press, 2013, Vol. 27, No. 1, pp. 65-82.
- Klavdiya Hammond and Aparna Varde -- Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support
--- In IEEE International Conference on Data Mining, ICDM, KDCloud Workshop, Dec 2013, Dallas, Texas, pp. 607-612.
- Shubhabrata Mukherjee, Aparna Varde, Giti Javidi and Ehsan Sheybani --- Predictive Analysis of Engine Health for Decision Support
--- In ACM SIGKDD Explorations Journal, 2013, Volume 15, Issue 2, pp. 39-49.
- Michael Pawlish, Aparna Varde and Stefan Robila --- Decision Support in Data Centers for Sustainability --- In IEEE ICDM KDCloud
Workshop, Dec 2013, Dallas, Texas, pp. 613-620.
- Mouna Kacimi, Fabian Suchanek and Aparna Varde --- Databases, Information Retrieval and Knowledge Management: Exploring
Paths and Crossing Bridges --- In ACM SIGMOD Record Journal, 2013, Volume 42, issue 3, pp. 71-74.
- Alan Varghese, Aparna Varde, Jing Peng and Eileen Fitzpatrick --- The CollOrder System for Detecting and Correcting Odd Collocations in L2 Written
English, In IEEE International Conference on Information and Communication Systems, Apr 2013, Irbid, Jordan, pp. 155-160.
- Jing Peng, Guna Seetharaman, Wei Fan and Aparna Varde --- Exploiting Fisher and Fukunag-Koontz Transforms in Chernoff
Dimensionality Reduction --- In ACM TKDD Journal (Transactions on Knowledge Discovery and Data Mining), 2013, Vol. 7, No. 2, pp. 8-32.
2012
- Richi Nayak, Pierre Senellart, Fabian Suchanek and Aparna Varde --- Discovering Interesting Information with Advances in Web Technology
--- In ACM SIGKDD Explorations Journal, 2012, Vol. 14, No. 2, pp. 63-81.
- Michael Pawlish, Aparna Varde and Stefan Robila --- Energy Management to Optimize Data Centers for Sustainability --- In IGCST CSE,
Dec 2012, Goa, India.
- Michael Pawlish, Aparna Varde and Stefan Robila --- Cloud Computing for Environment-Friendly Data Centers --- In ACM CIKM CloudDB Workshop,
Oct 2012, Maui, HI, pp. 43-48.
- Jonathan Tancer and Aparna Varde --- Cloud Technology and EHR Data Management --- In IEEE International Conference on Information
and Automation for Sustainability, Oct 2012, Beijing, China, pp. 112-117.
- Aparna Varde and Fabian Suchanek --- PIKM 2012: 5th ACM Workshop for PhD Students in Information and Knowledge
Management: Workshop Summary --- In ACM Conference on Information and Knowledge Management, Oct 2012, Maui, HI, pp. 2776-2777.
- Michael Pawlish, Aparna Varde and Stefan Robila --- Analyzing Utilization Rates in Data Centers for Optimizing Energy Management --- In IGCC
2012 (International Green Computing Conference) ERSS Workshop, Jun 2012, San Jose, California, pp 1-6.
- Aparna Varde and Fabian Suchanek --- Proceedings of the 5th PhD Workshop Information and Knowledge ---
In ACM Conference on Information and Knowledge Management, Oct 2012, Maui, HI, ISBN: 978-1-4503-1719-1.
2011
- Jonathan Tancer and Aparna Varde --- The Deployment of MML for Data Analytics over the Cloud --- In IEEE's ICDM Conference KDCloud Workshop,
Dec 2011, Vancouver, Canada, pp. 188-195.
- Michael Pawlish, Aparna Varde and Stefan Robila --- Optimizing Strategies for Server Utilization in Data Centers --- In IDA
(International Data Analysis conference) PhD Session, Oct 2011, Porto, Portugal.
- Daniel Jackowitz and Aparna Varde --- Image Mining using Non-metric Distances --- In ACM Consortium for Computing Sciences in Colleges,
Oct 2011, Arlington, VA.
- Amal Kalurachchi, Debjani Roychoudhury, Aparna Varde and Gerhard Weikum --- SITAC: Discovering Semantically Identical Temporally Altering Concepts in
Text Archives --- In ACM EDBT, Mar 2011, Uppsala, Sweden, pp. 566-569.
- Jing Peng, Guna Seetharaman, Stefan Robila, Aparna Varde and Wei Fan --- Chernoff Dimensionality Reduction - Where Fischer Meets FKT
--- In SIAM SDM, Mesa, Arizona, Apr 2011, pp. 271-282.
- Fabian Suchanek, Aparna Varde, Richi Nayak and Pierre Senellart --- The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective
--- In ACM EDBT, Mar 2011 Uppsala, Sweden, pp. 534-537.
2010
- Aparna Varde, Elke Rundensteiner and Sally Fahrenholz --- XML Based Markup Languages for Specific Domains --- Chapter in Book
"Web-Based Support Systems", Advanced Information and Knowledge Processing, DOI 10.1007/978-1-84882-628-1 11, J.T. Yao (ed.), Springer-Verlag London
Limited, UK, 2010, pp. 215-238.
- Michael Pawlish and Aparna Varde --- Free Cooling: A Paradigm Shift in Data Centers --- In IEEE International Conference on Information and
Automation for Sustainability, Dec 2010, Colombo, Sri Lanka, pp. 347-352.
- Anisoara Nica, Fabian Suchanek and Aparna Varde --- Emerging Multidisciplinary Research across Database Management Systems
--- In ACM SIGMOD Record, 2010, Vol. 30, No. 3, pp. 33-36.
- Amal Kaluarachchi and Aparna Varde ---- CricAI: A Classification Based Tool to Predict the Outcome in ODI Cricket
--- In IEEE International Conference on Information and Automation for Sustainability, Dec 2010, Colombo, Sri Lanka, pp. 250-255.
- Anisoara Nica and Aparna Varde --- PIKM 2010: ACM workshop for PhD Students in Information and Knowledge
Management: Workshop Summary --- In ACM CIKM, Oct 2010, Toronto, Canada, pp. 1979-1980.
- Amal Kaluarachchi, Aparna Varde, Srikanta Bedathur, Gerhard Weikum, Jing Peng and Anna Feldman --- Incorporating Terminology Evolution for Query
Translation in Text Retrieval with Association Rules --- In ACM CIKM, Oct 2010, Toronto, Canada, pp. 1789-1792.
- Michael Pawlish and Aparna Varde --- A Decision Support System for Green Data Centers --- In ACM CIKM Workshops, Oct 2010,
Toronto, Canada, pp. 47-56.
- Amal Kaluarachchi, Aparna Varde, Jing Peng and Anna Feldman --- Intelligent Time-Aware Query Translation for Text Sources --- In AAAI,
Jul 2010, Atlanta, Georgia, pp. 1935-1936.
- Aparna Varde and Jianyu Liang --- Extending a Distance Metric Learning Approach to Cover Non-Geometric Spaces
--- In ICML Workshops, Jun 2010, Haifa, Israel, LNGS: pp. 31-33.
- Aliva Pradhan, Aparna Varde, Jing Peng and Eileen Fitzpatrick --- Automatic Classification of Errors in L2 Written English --- In FLAIRS,
May 2010, Daytona Beach, Florida, pp. 259-264.
- Gregory Roughton, Aparna Varde, Stefan Robila and Jianyu Liang --- A Feature-Based Approach for Processing Nanoscale Images --- In SPIE Scanning
Microscopy May 2010, Monterey, California, Vol. 7729, 772911 (2010) 9 pages; doi:10.1117/12.853412.
- Gregory Roughton, Lisa McKee, Aparna Varde, Stefan Robila and Jianyu Liang --- Comparing Feature-Based and Wavelet-Based Approaches for Nanoscale
Image Processing --- In ACM Consortium for Computing Sciences in Colleges, Apr 2010, Hartford, Connecticut.
- Anisoara Nica and Aparna Varde --- Proceedings of the 3rd
workshop on Ph.D. students in information and knowledge management
--- In ACM CIKM, Oct 2010, Toronto, Canada, ISBN: 978-1-4503-0385-9.
2009
- Aparna Varde --- Challenging Research Issues in Data Mining, Databases and Information Retrieval --- In ACM SIGKDD Explorations Journal, 2009,
Vol. 11, No. 1, pp. 49-52.
- Aparna Varde --- Organizing PhD Colloqiums and Workshops --- In ER Conference on Conceptual Modeling, Nov 2009, Gramado, Brazil.
- Aparna Varde, Fabian Suchanek, Richi Nayak and Pierre Senellart --- Knowledge Discovery over Deep Web, Semantic Web and XML --- In DASFAA,
Apr 2009, Brisbane, Australia, pp. 784-788.
2008
- Aparna Varde, Srikanta Bedathur and Gerhard Weikum --- Time Aware Query
Expansion over Text Archives --- Technical Report, Max Planck Institute for
Informatics, Saarbruecken, Germany, Aug 2008. DOI:10.13140/RG.2.2.14625.45928
- Aparna Varde, Stephen Bique, Elke Rundensteiner, David Brown, Jianyu Liang, Richard Sisson Jr., Ehsan Sheybani and Brian Sayre ---
Component Selection to Optimize Distance Function Learning in Complex Scientific Data Sets
--- In DEXA, Sep 2008, Turin, Italy, pp. 269-282.
- Aparna Varde and Jian Pei --- Advances in Information and Knowledge
Management --- In ACM SIGIR Forum Journal, 2008, Vol. 42, No. 1, pp. 29-35.
- Aparna Varde, Shuhui Ma, Mohammed Maniruzzaman, David Brown, Elke
Rundensteiner and Richard Sisson Jr. --- Comparing Mathematical and Heuristic Approaches for Scientific Data Analysis
--- In AIEDAM Journal (Artificial Intelligence for Engineering Design,
Analysis and Manufacturing), Cambridge University Press, 2008, Vol. 22, No. 1, pp. 53-69.
- Prasan Roy and Aparna Varde --- PIKM 2008: Proceedings of
the 2nd Ph.D. Worksshop in CIKM --- ACM CIKM, Oct 2008, Napa Valley, CA, ISBN: 978-1-60558-257-3
2007
- Aparna Varde, Stephen Bique and David Brown --- Distance Metric Learning
by Greedy, Exhaustive and Hybrid Approaches --- Technical Report, Virginia
State University, Petersburg, VA, Dec 2007, DOI: 10.13140/RG.2.2.36448.94729
- Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, Mohammed
Maniruzzaman and Richard D. Sisson Jr. --- LearnMet: Learning
Domain-SpecificDistance Metrics for Plots of Scientific Functions --- In MTAP Journal
(Multimedia Technology and Applications), 2007, Springer Publishers, Vol. 35, No. 1, pp. 29-53.
- Aparna Varde, Elke Rundensteiner and Richard Sisson Jr. --- AutoDomainMine: A Graphical Data Mining System for Process Optimization
--- In ACM SIGMOD, Jun 2007, Beijing, China, pp. 1103-1105.
- Aparna Varde, Elke Rundensteiner, Giti Javidi, Ehsan Sheybani and Jianyu Liang ---
Learning the Relative Importance of Features in Image Data
--- In IEEE ICDE DBRank Workshop, Apr 2007, Istanbul, Turkey, pp. 237-244.
- Aparna Varde and Jian Pei --- Proceedings of the ACM
first Ph.D. workshop in CIKM --- In ACM CIKM, Nov 2007, Lisbon, Portugal, ISBN: 978-1-59593-832-9.
2006
- Aparna Varde, Jianyu Liang, Elke A. Rundensteiner, and Richard D. Sisson Jr.
--- Mining Images of Material Nanostructure Data
--- In ICDCIT, Dec 2006, Bhubhaneswar, India, pp. 403-413.
- Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, David C. Brown, Mohammed
Maniruzzaman and Richard D. Sisson Jr. --- Designing
Semantics-Preserving Cluster Representatives for Scientific Input Conditions
--- In ACM CIKM, Nov 2006, Arlington, VA, pp. 708-717.
- Mohammed Maniruzzaman, Aparna Varde and Richard D. Sisson Jr. ---
Estimation of Surface Heat Transfer Coefficients for Quenching Process
Simulation --- In TMS Materials Sc. and Tech. Conf., Oct 2006,
Cincinnati, OH.
- Aparna Varde, Jianyu Liang, Elke Rundensteiner and Richard D. Sisson Jr.
--- Exploring Data Mining Research in Nanotechnology --- Technical Report,
Worcester Polytechnic Institute (WPI), Worcester, Massachusetts, Jul 2006, DOI: 10.13140/RG.2.2.13589.99048
- Aparna S. Varde, Edwin F. Begley and Sally Fahrenholz-Mann --- MatML: XML for Information Exchange with Materials Property
Data --- In ACM KDD's DM-SSP Workshop, Aug 2006, Philadelphia, PA, pp. 47-54.
- Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, David C. Brown, Mohammed
Maniruzzaman and Richard D. Sisson Jr. --- Integrating
Clustering and Classification for Estimating Process Variables in Materials Science
--- In AAAI, Jul 2006, Boston, MA.
- Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, David C. Brown, Mohammed
Maniruzzaman and Richard D. Sisson Jr. --- Effectiveness of
Domain-Specific Cluster Representatives for Graphical Plots --- In ACM
SIGMOD's IQIS Workshop, Jun 2006, Chicago, IL, pp. 24-29.
- Richard D. Sisson Jr. and Aparna Varde --- Data Mining in Heat
Treatment --- In Heat Treating Progress,
Mar / Apr 2006, pp. 18-20.
2005...
- Aparna Varde, Elke Rundensteiner, Mohammed Maniruzzaman and Richard Sisson Jr. ---
Estimating Heat Transfer Coefficients as a Function
of Temperature by Data Mining --- In ASM's Heat Treating Society Conf., Sep 2005, Pittsburgh,
PA, pp. 348-357.
- Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, Mohammed Maniruzzaman and
Richard D. Sisson Jr. --- Learning Semantics-Preserving
Distance Metrics for Clustering Graphical Data --- In ACM SIGKDD
MDM Workshop, Aug 2005, Chicago, IL, pp. 107-112.
- Aparna Varde, Elke Rundensteiner, Carolina Ruiz, Mohammed Maniruzzaman and
Richard D. Sisson Jr. --- Data Mining over Graphical Results
of Experiments with Domain Semantics --- In ACM SIGART, Special Session on Mining
Complex Patterns, Mar 2005, Cairo, Egypt, pp. 603-611.
- Aparna Varde, Makiko Takahashi, Elke A. Rundensteiner, Matthew O. Ward, Mohammed
Maniruzzaman and Richard D. Sisson Jr. --- Apriori Algorithm and
Game-of-Life for Predictive Analysis in Materials Science --- In KES Journal
(International Journal of Knowledge-Based and Intelligence Engineering Systems),
IOS Press, Netherlands, 2004, Vol. 8, No. 4, pp. 213-228.
- Aparna Varde, Elke Rundensteiner, Murali Mani, Mohammed Maniruzzaman
and Richard D. Sisson Jr. --- Augmenting MatML with Heat Treating Semantics ---
In ASM Materials Solutions Conf., Oct 2004, Columbus, OH.
- Aparna Varde, Elke Rundensteiner, Mohammed Maniruzzaman and Richard D. Sisson Jr.
--- Computational Estimation of Heat Transfer Curves for Microstructure Prediction and
Decision Support --- In TMS Materials Sc. and Tech. Conf., Sep 2004, New Orleans, LA.
- Aparna Varde, Elke Rundensteiner, Murali Mani, Mohammed Maniruzzaman and
Richard D. Sisson Jr. --- Semantic Extensions to
Domain-Specific Markup Languages --- In IEEE Int. Conf. on Computing,
Communications and Control Technologies, Aug 2004, Austin, TX, pp. 55-60.
- Richard Sisson Jr. and Aparna Varde --- Data Mining: Promoting E-Business in Heat
Treating --- In Heat Treating Progress, Mar / Apr 2004, pp. 46-49.
- Aparna Varde, Makiko Takahashi, Elke A. Rundensteiner, Matthew O. Ward,
Mohammed Maniruzzaman and Richard D. Sisson Jr. --- QuenchMiner:
Decision Support for Optimization of Heat Treating Processes --- In IEEE's IICAI,
Dec 2003, Hyderabad, India, pp. 993-1003.
- Aparna Varde, Elke A. Rundensteiner, Mohammed Maniruzzaman and
Richard D. Sisson Jr. --- The QuenchMiner
Expert System for Quenching and Distortion Control --- In
ASM's Heat Treating Society Conf., Sep 2003, Indianapolis, IN, pp. 174-183.
- Shuhui Ma, Aparna S. Varde, Makiko Takahashi, Darrell K. Rondeau, Md. Maniruzzaman and R. D. Sisson Jr.
--- Quenching - Understanding, Controling and Optimizing the Process ---
In ICQCD, May 2003, Beijing, China.
- Aparna Varde, Makiko Takahashi, Mohammed Maniruzzaman --- Web-based Data
Mining for Quenching Analysis --- In IFHTSE-ISEC, Oct 2002, Columbus, OH.
- Aparna Varde and Elke A. Rundensteiner ---
MEDWRAP: Consistent View Maintenance over Distributed Multi-Relation Sources ---
In DEXA, Sep 2002, Aix-en-Provence, France, pp. 341-350.
- Aparna Varde and Elke Rundensteiner --- SWECCA for
Data Warehouse Maintenance --- In Systemics, Cyebernetics and
Informatics Conference, Jul 2002, Orlando,FL, pp. 352-357.
- Aparna Varde --- Data Warehousing and Data
Extraction on the World Wide Web --- In WebTech, Nov 1999
Somerset, NJ, Track 19.
Professional Service
- Guest Editorial Board of Semantic Web Journal (SWJ)
- SWJ Special Issue: Commonsense Knowledge and Reasoning
- Publisher: IOS Preess
- Duration of Position: Spring 2021 onwards
- Doctoral Dissertation Editor (Coordinator) of ACM SIGWEB
- ACM SIGWEB: ACM's Special Interest Group on Hypertext, Hypermedia and the Web
- Doctorial Dissertation Column in SIGWEB: Publication of PhD Student Sole Author Work at Graduation
- Duration of Position: Autumn 2022 onwards
- Founder and Organizer of ACM CIKM Ph.D. Workshops
- PIKM: ACM CIKM's PhD Workshop on Information and Knowledge Management
- Founder and Co-Chair of PIKM 2007 (1st PhD workshop in ACM CIKM)
- Co-Chair of PIKM 2014, 2012, 2010, 2008, 2007
- PC Member of PIKM 2013, 2011
- Co-Chair or IEEE ICDM PhD Forum
- ICDM: International Conference on Data Mining
- Co-chair of PhD Forum in December 2013
- Certificate of Appreciation received from IEEE
- Doctoral Consortium Mentor for ACM CIKM 2020, 2022, 2023
- CIKM: ACM Conference on Information and Knowledge Management
- Certificates of Appreciation received from ACM CIKM
- Panelist for National Science Foundation (NSF) of the USA
- IIS (Division of Information and Intelligent Systems)
- TIP (Directorate for Technology, Innovation and Partnerships)
- EDU (Directorate for STEM Education)
- Journal Reviewer
- TKDE: Transactions on Knowledge and Data Engineering (IEEE), 2007, 2010, 2012, 2016, 2018, 2020, 2022
- TKDD: Transactions on Knowledge Discoverry and Data Mining (ACM), 2012, 2013, 2015, 2018, 2019, 2020, 2022, 2023, 2024
- TSUSC: Transactions on Sustainable Computing (IEEE), 2019, 2020, 2022, 2023
- TBD: Transactions on Big Data (IEEE), 2022, 2023
- CIBM: Computers in Biology and Medicine, Elsevier, 2024
- DMKD: Data Mining and Knowledge Discovery (Springer), 2011, 2015, 2017, 2018, 2019
- KAIS: Knowledge and Information Systems (Springer), 2011, 2015, 2016, 2017, 2019, 2020
- DKE: Data and Knowledge Engineering (Elsevier), 2010, 2009, 2008, 2007, 2011, 2014, 2016, 2018, 2019
- KNOYSYS: Knowledge Based Systems (Elsevier), 2020, 2022
- JCLEPRO; Journal of Cleaner Production (Elsevier), 2019, 2020
- ACCESS: Access Journal (IEEE), 2019, 2020
- AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing (Cambridge University Press), 2009
- Intelligent Systems (IEEE), 2008
- VDLB Journal: Very Large Databases (ACM), 2008
- Information Systems (Elsevier), 2007
- Applied Sciences (MDPI), 2019, 2020
- JSA: Journal of Sports Analytics (IOS Press), 2020, 2022
- SCSI: Sustainable Cities and Society, Elsevier, 2022, 2023, 2024
- AUTOCON: Autonation in Construction, Elsevier, 2023, 2024
- Conference Program Committee Member
- NAACL-HLT 2019: North American Association for Computational Linguistics, Human Language Technologies
- WWW 2018: The Web Conference (W3C)
- ECNL-PKDD 2024: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
- ICTAI 2023, 2022, 2020, 2019, 2018: International Conference on Tools with Artificial Intelligence (IEEE)
- CIKM 2023, 2022, 2020, 2019, 2018, 2016, 2015, 2014: Conference on Information and Knowledge Management (ACM)
- EDBT 2012, 2009: Extending Database Technology conference (ACM)
- ICDM 2023, 2022, 2020, 2019, 2018, 2016, 2015, 2011, 2008: International Conference on Data Mining (IEEE)
- KDD 2016, 2015: Knowledge Discovery and Data Mining conference (ACM)
- IEMTRONICS 2020: International IoT, Electronics and Mechatronics Conference (IEEE)
- ER 2010, 2009: International Conference on Conceptual Modeling (Springer)
- DEXA 2008: Databases and Expert System Applications conference (Springer)
- SDM 2008: Society of Industrial and Applied Mathematics Data Mining conference (SIAM)
- UEMCON 2019: Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (IEEE)
- WAIM 2008: Web Age Information Management conference - Demo Track (IEEE)
- ISDIKS 2007: International Symposium on Data Information and Knowledge Spectrum (IEEE)
- KDD-MDM 2007: Knowledge Discovery and Data Mining conference - Multimedia Data Mining workshop (ACM)
- Membership of Technical Societies
- IEEE: Institute of Electrical and Electronics Engineers
- ACM: Association of Computing Machinery
- AAAI: Association for Advancement of Artificial Intelligence
- Invited Talks
- Explainable AI and Automation Science --- Aparna Varde --- SIAM Student Chapter, Montclair State University, Montclair, NJ, Mar 2024.
- AI in Smart Environment and Energy for Social Good --- Aparna Varde --- New Jersey Offshore Wind Technology Conference, New Jersey Institute of Technology (NJIT), Newark, NJ, Dec 2023.
- Commonsense Knowledge and Multidisciplinary Paths --- Aparna Varde --- International Workshop on Data, Knowledge, Language: Past. Present, Future, MPII - Max Planck Institute for Informatics, Saarbrucken, Germany, Sep 2023.
- AI in Proposing Solutions to Covid-19 Issues: Transfer Learning, Recommenders and HCI --- Aparna Varde --- ACM Club, Florida State University, Panama City, FL, Nov 2020 [online]
- Commonsense Knowledge in the Smart Cities Paradigm --- Aparna Varde --- Bloomberg Distinguished Speaker Series, New York City, NY, July 2018.
- Knowledge Discovery in Environmental Management --- Aparna Varde --- Max Planck Institute for Informatics, Saarbrucken, Germany, Aug 2015.
- Organizing PhD Colloquiums and Workshops --- Aparna Varde --- ER Conference on Conceptual Modeling, Gramado, Brazil, Nov 2009.
Hobbies and Interests
- Reading: Literature, Mystery, Humor, Biographies, Astrology...
- Travel: Done some sightseeing, e.g., Greek Roman Museum in
Alexandria, Statue of Liberty in New York etc., Had occasional adventures such
as river-rafting in Maine, glider-plane flying at Worcester Airport, Snow Tubing in Nashoba Valley, Ice Skating near Worcester,
Hiking at Mt. Monadnock in New Hampshire and
Climbing the Pyramids at Giza near Cairo in Egypt.
- Music: Play keyboards a little, Listen to music from different countries.
- Foreign Languages: Speak, read and write elementary German, Speak very basic Chinese
and of course, some Indian languages, Grasp a few other languages... Thanks to the
multi-cultural groups at work as seen in these pictures --- DSRG
team at a graduation lunch and Materials Science
team at a student welcome party in WPI.
- Cultural Events: Elocution, Debates, Dramatics, Creative Writing.
- Sports: Yoga, Aerobics, Ping-pong, Badminton, beginner-level Tennis.
- Painting: Simple Landscapes, Rangoli etc.
Dr. Aparna S. Varde
Associate Director and Associate Professor
School of Computing
Montclair State University
Montclair, NJ 07043, USA
Phone: 973-655-4292
E-mail: vardea AT montclair DOT edu